Microcirculation blood flow monitoring system and microcirculation blood flow monitoring equipment

Abstract

The invention discloses a microcirculation blood flow monitoring system and microcirculation blood flow monitoring equipment, and belongs to the technical field of microcirculation blood flow monitoring. Comprising a microcirculation observation instrument, an acquisition module, a storage module and a data processing module, the data processing module comprises first-class data and corresponding first-class indexes A, the first-class data, namely the microcirculation blood flow velocity V of a single blood vessel, are divided into different ranges according to the flow velocity, and the first-class indexes A in one-to-one correspondence with the velocity ranges are formed to serve as flow velocity correlation factors a; the flow velocity correlation factor a is endowed with different numerical values according to different ranges of the blood flow velocity; the assignment interval of the flow velocity correlation factor a is greater than or equal to 0 and less than or equal to 1, and the flow velocity correlation factor a comprises one or more of the following correlation sub-factors: a high-speed blood flow correlation sub-factor a1, a stasis blood flow correlation sub-factor a2 and a normal blood flow correlation sub-factor a3. The data processing module further comprises a second type of data and a third type of data.

Description

Technical Field

[0001] The invention relates to a microcirculation blood flow monitoring system, belonging to the technical field of microcirculation blood flow monitoring. Background Art

[0002] Currently, the International Consensus on Sepsis 3.0 points out: Defining sepsis and septic shock itself is challenging. First, sepsis is a broad term used to describe a process that is not yet fully understood. So far, there are no simple and clear clinical criteria or biological, imaging, or laboratory characteristics that can uniquely identify a patient with sepsis.

[0003] Because the pathogenic mechanism of sepsis is not fully understood, there are currently no "simple and clear" indicators for early sepsis infection in humans and other mammals. Without early indicators of sepsis infection, early prediction of sepsis is an international problem. Similarly, there is no way to identify the early, middle and late stages of sepsis, and there is no way to distinguish general inflammation from sepsis in the early stages (International Consensus on Sepsis 3.0 points out: The working group attempts to distinguish sepsis from simple infection).

[0004] In fact, any disease has an early process, and sepsis also has an early process. Therefore, clinical practice urgently needs qualitative and quantitative indicators for ultra-early and early prediction of sepsis. It also requires qualitative and quantitative indicators for distinguishing general inflammation from sepsis and for scientifically staging sepsis.

[0005] Currently, the main clinical method to determine infection is through blood, sputum or urine culture, body temperature, X-ray or CT scans. However, it takes a long time to conduct blood, sputum or urine culture in clinical practice, and many cultures often give negative results. The positive rate is generally around 30%, and the highest does not exceed 50%. This results in many infected patients with no test results, which brings great uncertainty to clinical treatment.

[0006] Clinically, we also hope to have a way to detect infection non-invasively, promptly, sensitively and accurately, but there are currently no such methods and indicators.

[0007] Various large-scale surgeries such as cardiac surgery, brain surgery, thoracic surgery, abdominal surgery, etc. all have the problem of postoperative infection, which often leads to successful surgery but the patient eventually dies from the infection. Therefore, during the observation period after the operation, it is necessary to closely observe possible infections in the wound. The appearance of high-speed blood flow in the microcirculation indicates that the wound has an early infection and requires immediate rescue.

[0008] In addition, the common feature of different types of shock is abnormal microcirculation, but there is currently no set of quantitative microcirculation indicators to distinguish the quantitative data characteristics of different shocks.

[0009] In fluid resuscitation in the field of critical care, the ultimate goal is to restore microcirculatory perfusion, but there is currently no comprehensive set of quantitative microcirculatory indicators and data to calculate and detect the status before and after the microcirculation resumes normal perfusion.

[0010] At the same time, after early resuscitation, it is necessary to first evaluate the patient's fluid (volume) responsiveness before deciding whether to infuse fluid. Therefore, the evaluation of fluid (volume) responsiveness during emergency and critical fluid resuscitation is a very important task. The commonly used methods for evaluating volume responsiveness and static and dynamic indicators, such as passive leg raising (PLR), responsiveness to rapid fluid infusion, blood pressure, heart rate, central venous pressure CVP, stroke volume (SV), stroke volume variability (SVV), pulse pressure variability (PPV), transthoracic echocardiography (TTE), transesophageal cardiac ultrasound Doppler (TEE), observation of changes in aortic flow velocity (ABF), or ultrasonic cardiac output instrument (USCOM), etc., are all macro-hemodynamic methods. At present, there is no set of accurate quantitative indicators and methods for evaluating fluid (volume) responsiveness of micro-hemodynamics (microcirculation) in the field of critical and emergency medicine.

[0011] Similarly, the endpoint of fluid resuscitation in critical care and emergency rescue and perioperative volume management currently relies on dynamic and static indicators of macroscopic hemodynamics, such as central venous pressure (CVP), pulse pressure variation (PPV), and beat-to-beat variation (SSV). There are no quantitative indicators and methods of microscopic hemodynamics (microcirculation) that can more accurately determine the gold standard for individualized infusion volume based on individual differences.

[0012] In addition, antibiotics are chemical substances synthesized by some microorganisms that can inhibit or kill certain pathogens. There are many types of antibiotics, and different antibiotics have different effects on the same pathogenic microorganism. Different pathogenic microorganisms also have different sensitivities to the same antibiotic, so there are also large differences in the treatment effects in clinical practice. In order to be able to use drugs more accurately for pathogenic microorganisms and achieve the best treatment effect, clinical practice usually uses bacterial culture plus drug sensitivity tests to test and observe the sensitivity of pathogenic microorganisms to various antibiotics, so as to select the most effective antibiotics to treat patients with pathogenic microorganisms, so as to achieve the best treatment effect and shorten the course of the patient's disease.

[0013] Antibiotic sensitivity is generally obtained through bacterial culture plus drug sensitivity test. Antibiotic sensitivity test can understand the sensitivity of pathogenic microorganisms that cause diseases to certain antibiotics. In addition, it can also test antibiotic resistance, providing a basis for clinical guidance of drug use, which is of great clinical significance.

[0014] However, it takes too long to conduct blood culture, sputum culture or urine culture in clinical practice, and it is difficult to obtain results in time to guide clinical practice. In addition, many cultures are often negative, with a positive rate of about 30% and a maximum of no more than 50%. This results in many infected patients not having clinical results, which brings great uncertainty to clinical treatment. Clinically, it is also hoped that the quantitative indicators of microcirculatory blood flow after infection (while using the presence of bacteria in the body's blood) can timely, sensitively and accurately detect the sensitivity or resistance of a certain antibiotic to a certain bacterium, but these indicators are currently not available.

[0015] For diseases such as cerebral infarction, myocardial infarction, pulmonary embolism, and lower limb venous thrombosis (embolism is also prone to occur in the inferior vena cava, portal vein, intracranial vein, upper limb veins, etc.), which are prone to occur when the blood is in a hypercoagulable state, it is also necessary to use quantitative indicators of microcirculation to timely predict possible embolism, but these indicators are not available at present. Summary of the invention

[0016] In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a microcirculation blood flow monitoring system, and specifically provides a detection and calculation system and method for microcirculation flow velocity quantitative indicators and data.

[0017] In order to avoid ambiguity, the present invention distinguishes several currently recognized shock types into three types according to the different characteristics of blood flow velocity: the first type is "warm shock" caused by high-speed blood flow in microscopic hemodynamics manifested by high drainage and low resistance in distributed (infectious) shock. We found that the cause of this "warm shock" is warm shock caused by the Bernoulli effect, rather than the warm shock cause explained by the anastomotic branch shunt theory in textbooks. Since we introduced the Bernoulli principle of fluid mechanics into the analysis of microcirculation blood flow velocity for the first time, the present invention named it "Feng Xinghuai-Bernoulli-Warm Shock" (the principle is described below).

[0018] The second type is cold shock in distributive (septic) shock, which is converted from warm shock and is referred to as "septic cold shock". Both types are distributive shock or septic shock.

[0019] The third type of shock is non-infectious or non-distributive shock, which includes cardiogenic shock, obstructive shock, hypovolemic shock, neurogenic shock, anaphylactic shock, etc., referred to as: the third type of shock.

[0020] In order to avoid ambiguity, the blood flow velocity V referred to in the present invention refers to the microcirculation blood flow velocity V occurring in human and mammalian bodies.

[0021] The high-speed blood flow in microcirculation (known abroad as high-power blood flow: Hyperdynamic) defined in the present invention has the same meaning; Further, the present invention defines high-speed blood flow as follows: Vd is the blood flow in the microcirculation that exceeds the normal human microcirculation velocity limit V under a resting state, that is, V is greater than or equal to 1000um / s. We call this high-speed blood flow or high-dynamic blood flow Vd. High-dynamic blood flow Vd is divided into three levels according to different ranges of blood flow velocity, namely Vd1, Vd2, and Vd3. The specific connotations are as follows.

[0022] Level 1: Microcirculation high-speed blood flow velocity Vd1, Vd1 is greater than or equal to 1000um / s and less than 1300um / s, this is the high-speed blood flow (high-dynamic blood flow) Vd1 of suspected sepsis infection; The second level: microcirculation high-speed blood flow velocity Vd2, Vd2 is greater than or equal to 1300um / s and less than 1500um / s. This is the high-speed blood flow (high-dynamic blood flow) Vd2 with a high suspicion of sepsis infection; The third level: microcirculation high-speed blood flow velocity Vd3, microcirculation high-speed blood flow velocity Vd3, Vd3 is greater than or equal to 1500um / s. Reaching or exceeding 1500um / s can be clearly identified as microcirculation high-speed blood flow (hyperdynamic blood flow) of sepsis infection.

[0023] This high-speed blood flow in sepsis infection only exists in the true capillary exchange network and microvenous blood vessels with oxygen exchange function. The blood flow in any other blood vessels, regardless of the flow rate, does not belong to the high-dynamic blood flow or high-speed blood flow defined in the present invention due to the lack of oxygen molecule diffusion function due to the thick wall. For example, the blood flow in the anastomotic branch blood vessels and micro-arterioles in the blood microcirculation network.

[0024] This high-speed blood flow or high-dynamic blood flow Vd occurring in a resting state can easily lead to oxygen exchange disorders in thin-walled true capillaries and venules due to the Bernoulli effect of fluid mechanics, resulting in "Feng Xinghuai - Bernoulli - warm shock". If not treated, it will evolve into "infectious cold shock" and even multiple organ dysfunction and failure - MODS due to prolonged hypoxia. Therefore, this phenomenon and process need to be carefully observed, evaluated and measured.

[0025] In order to avoid ambiguity, the present invention defines sepsis infection and septic infection as belonging to the same category, but septic infection may refer to symptoms occurring in the early stages of sepsis.

[0026] That is, since there are currently no indicators for early sepsis, in order to make it easier for the medical community to understand and accept, the present invention defines early sepsis infection as septic infection.

[0027] The present invention uses the words such as retention, stagnation, stasis, and stasis to uniformly express the two phenomena of microcirculatory blood flow stopping and swinging without forward movement. Swinging without forward movement is also regarded as no flow. The present invention uniformly defines a microcirculation blood flow velocity with a blood flow velocity V less than or equal to 90 um / s as "stagnant blood flow Vz"; the septic stagnant blood flow Vz defined in the present invention is the blood flow that is converted from the high-speed blood flow of sepsis to the stagnant blood flow or the blood flow stagnation caused by other shock reasons: Vz is the blood flow in the microcirculation that is lower than the low-speed limit V (less than or equal to 90 um / s) of the normal human microcirculation velocity.

[0028] Further, for the stagnant blood flow Vz, the stagnant blood flow Vz is divided into three levels according to different ranges of blood flow velocity, namely Vz4, Vz5, and Vz6; The first level: microcirculation stasis blood flow velocity Vz4, Vz4 is less than or equal to 30um / s, which can be clearly identified as microcirculation stasis blood flow Vz4 of severe sepsis infection.

[0029] The second level: microcirculation stasis blood flow velocity Vz5, Vz5 is greater than 30um / s and less than or equal to 60um / sum / s, which can be characterized as microcirculation stasis blood flow Vz5 of sepsis that is highly suspected of severe infection.

[0030] The third level: microcirculation stasis blood flow velocity Vz6, Vz6 is greater than 60um / s and less than or equal to 90um / s, which can be characterized as microcirculation stasis blood flow Vz6 of suspected severe infection of sepsis.

[0031] The present invention defines infection caused by septic stagnant blood flow Vz as "severe sepsis infection", but Vz is also used to measure the severity of "other shocks other than septic shock".

[0032] The present invention defines the phenomenon that all blood flows observed in the field of view of a microcirculation instrument are microcirculation stasis blood flow velocity Vz4 as "complete severe infection", also known as "complete cold shock", and Vz4 is also applicable to the measurement of "other shocks of complete non-infectious shock"; The present invention defines the phenomenon that all blood flows observed within the field of view of a microcirculation instrument are stagnant blood flow velocity Vz5 as "highly suspected complete severe infection", also known as "highly suspected complete cold shock", and Vz5 is also applicable to the measurement of "other shocks that are highly suspected of non-infectious shock"; The present invention defines the phenomenon that all blood flows observed within the field of view of a microcirculatory instrument are microcirculatory stasis blood flow velocity Vz6 as "suspected complete severe infection", also known as "suspected complete cold shock". Vz6 is also applicable to the calculation of "other shock suspected of non-septic shock"; The above-mentioned complete severe infection Vz4 is the septic shock referred to in the International Sepsis 3.0. The present invention uses the same set of indicators for "other shocks other than infectious shock", namely Vz4, Vz5, and Vz6; the present invention uses * to indicate multiplication; The present invention defines the phenomenon that all blood flows observed within the field of view of a microcirculation instrument are high-speed blood flows Vd1 (greater than or equal to 1000um / s and less than 1300um / s) as "suspected complete moderate infection", also known as "suspected complete warm shock".

[0033] The present invention defines the phenomenon that all blood flows observed within the field of view of a microcirculation instrument are high-speed blood flows Vd2 (greater than or equal to 1300um / s and less than 1500um / s) as "highly suspected complete moderate infection", also known as "highly suspected complete warm shock".

[0034] The present invention defines the phenomenon that all blood flows observed within the field of view of a microcirculation instrument are high-speed blood flows Vd3 (greater than or equal to 1500um / s) as "complete moderate infection", also known as "complete warm shock".

[0035] The quantitative index of mild-moderate sepsis infection defined in the present invention and the quantitative index of "FengXinghuai -- Bernoulli -- warm shock" caused by sepsis infection use the same set of indicators; The present invention defines a microcirculation blood flow velocity V less than 1000um / s and greater than 90um / s as a "normal blood flow velocity Vc", and defines the phenomenon that all blood flows observed within the field of view of a microcirculation instrument are of normal blood flow velocity Vc (less than 1000um / s and greater than 90um / s) as a "completely normal blood flow velocity".

[0036] Referring to the international classification of capillary diameter and current international practice, microcirculatory vessels with a diameter of 20 microns or less are defined as small vessels, microcirculatory vessels with a diameter of more than 20 microns and less than or equal to 60 microns are defined as medium vessels, and microcirculatory vessels with a diameter of more than 60 microns are defined as large vessels. See the minutes of the 2007 International Round Table Conference 2007-CC-How to evaluate the microcirculation report of around table conference, Critical Care Vol 11 No 5 De Backer et al. The present invention defines that based on the theory of capillary autonomic movement and expansion and contraction in the field of microcirculation, the blood flow of microcirculation is divided into basic blood flow and pulse blood flow superimposed on the basic blood flow. The characteristic of pulse blood flow is the rapid blood flow with a random flow rate faster than the basic blood flow in the blood vessels with basic stable flow. This pulse blood flow has the characteristics of randomness, high frequency, and a flow rate higher than the original blood vessel flow rate, i.e., the basic blood flow. The microcirculation blood flow velocity referred to in the present invention, especially the microcirculation high-speed blood flow, is an average basic blood flow velocity with a stable flow rate, not a randomly occurring pulse blood flow.

[0037] The microcirculation images analyzed in the present invention are defined as stable, clear, pressure artifact-free microcirculation blood flow images that are continuously observed for at least 3-5 seconds.

[0038] The present invention recommends the use of known methods for measuring microcirculatory blood flow velocity, such as space-time method, red, white blood cell or plasma particle tracking method - that is, determining the velocity of particles by dividing distance by time, light spot simulation tracking method and other known methods.

[0039] The diameter of the blood vessel is measured by a known method, that is, a line measurement method using software is used to draw a straight line for the diameter of the blood vessel. The software calculates the length of the straight line as the diameter of the blood vessel, or draws a section of the outer boundary contour of the blood vessel. The computer calculates the average diameter of the outer boundary contour as the diameter of the blood vessel.

[0040] The method for selecting different blood flow velocity ranges is: select the video M with the fastest blood flow velocity from all the clear, stable and pressure artifact-free microcirculation videos collected at the same time of the same measurement object; select the blood vessel M1 with the fastest blood flow in the video M with the fastest blood flow velocity as the measurement target; the fastest blood flow velocity does not take into account the diameter of the blood vessel, and the fastest blood flow velocity is not the velocity of the pulsed blood flow, but the velocity of the basic blood flow explained in the present invention; after selecting the blood vessel with the fastest blood flow velocity, measure its flow velocity, and then judge whether the fastest blood flow velocity belongs to the range of high-speed blood flow Vd1, Vd2, Vd3, or belongs to the range of stagnant blood flow Vz4, Vz5, Vz6, or belongs to the range of normal blood flow velocity Vc, and the type of infection can naturally be judged according to the different ranges; The present invention is achieved through the following technical solutions: A microcirculation blood flow monitoring system: comprising a microcirculation observation instrument, a collection module, a storage module and a data processing module: the collection module is to place the microcirculation observation instrument at a position where the observed person can observe the microcirculation, select one or more positions to observe the blood flow and collect blood flow data; The storage module stores the blood flow data collected by the collection module on a storage medium; the data processing module includes the first type of data and the corresponding first type of indicator A, which divides the first type of data, i.e., the microcirculation blood flow velocity V of a single blood vessel, into different ranges according to the flow velocity, to form the first type of indicator A corresponding to the velocity range one by one, and the first type of indicator A corresponds to the velocity correlation factor a; the velocity correlation factor a is assigned different values ​​according to different ranges of blood flow velocity; the value assignment interval of the velocity correlation factor a is between greater than or equal to 0 and less than or equal to 1, and the velocity correlation factor a includes one or more of the following related sub-factors: high-speed blood flow correlation sub-factor a1, stagnant blood flow correlation sub-factor a2, and normal blood flow correlation sub-factor a3.

[0041] Furthermore, the high-speed blood flow-related sub-factor a1, corresponding to the high-speed blood flow with microcirculatory blood flow velocity V greater than 1000um / s, is divided into three levels: High-speed level 1 Vd3: high-speed blood flow velocity is greater than or equal to 1500um / s; High-speed secondary Vd2: high-speed blood flow velocity is greater than or equal to 1300um / s and less than 1500um / s; High-speed level 3 Vd1: high-speed blood flow velocity is greater than 1000um / s and less than 1300um / s; The stagnant blood flow related sub-factor a2 corresponds to the stagnant blood flow with a microcirculatory blood flow velocity V less than or equal to 90 um / s, and is divided into three levels: Stasis level 1 Vz4: Stasis blood flow velocity is less than or equal to 30um / s; Stasis level 2 Vz5: Stasis blood flow velocity is greater than 30um / s and less than or equal to 60um / s; Stasis level 3 Vz6: Stasis blood flow velocity is greater than 60um / s and less than or equal to 90um / s.

[0042] The normal blood flow-related sub-factor a3 corresponds to a normal blood flow in which the microcirculation blood flow velocity V is less than or equal to 1000 um / s and greater than 90 um / s; According to the above different levels of flow rate, the corresponding grandchild factors of the flow rate related sub-factors are given. The flow rate related sub-factor a1 is divided into grandchild factors a1-1 corresponding to Vd1, a1-2 corresponding to Vd2, and a1-3 corresponding to Vd3; the flow rate related sub-factor a2 is divided into grandchild factors a2-1 corresponding to Vz4, a2-2 corresponding to Vz5, and a2-3 corresponding to Vz6.

[0043] Furthermore, the data processing module also includes second-category data and corresponding second-category indicators B; the second-category indicators B correspond to the proportional factor b, and the proportional factor indicator b refers to the ratio of the area occupied by blood vessels in different flow rate ranges in a single video within the field of view of the instrument at a single position to the area of ​​the single video; or the ratio of the length of blood vessels in different flow rate ranges to the length of the entire blood vessel, or the ratio of the density of blood vessels in different flow rate ranges to all blood vessels in a single video area, and the density refers to the total length of the blood vessel divided by the area of ​​the single video; the proportional factor b is both the second-category data and the indicator; the value range of the proportional factor b is between greater than or equal to 0 and less than or equal to 1.

[0044] Furthermore, the data processing module also includes third-category data and corresponding third-category indicators D; the third-category data includes a classification of blood vessel diameter ranges, and the third-category indicators D include a diameter-related factor d corresponding to the blood vessel diameter range, which corresponds each blood vessel data in different diameter ranges to a diameter-related factor d; the diameter-related factor d is assigned different values ​​according to blood vessels in different diameter ranges; the value assignment interval of the diameter-related factor d is between greater than or equal to 0 and less than or equal to 1.

[0045] Furthermore, the data processing module also includes a standard factor index g for high-speed blood flow, retained blood flow or normal-speed blood flow. When all blood flow velocities belong to the high-speed blood flow range or the retained blood flow range, the standard factor index g=1; when all blood flow velocities belong to the normal-speed blood flow range, the standard factor index g=0.

[0046] Furthermore, the data processing module also includes the fourth type of data, namely, the calculation data Qn% of the correlation factor: The calculation method of Qn% is any of the following formulas 1-1, 1-2 or 1-3: Formula 1-1: Qn%=(a * b)% Formula 1-2: Qn% = (a * b * d)% Formula 1-3: Qn% = (a * b * d * g)% Among them, n=1,2,3.. is a natural number series. When n=1, Q1% is the percentage of high-speed blood flow; when n=2, Q2% is the percentage of stagnant blood flow; when n=3, Q3% is the percentage of normal blood flow; a is the flow velocity related factor, b is the proportional factor, d is the diameter related factor, and g is the standard factor indicator.

[0047] Furthermore, the value range of the velocity factor a is 0-1: for the high-speed blood flow related sub-factor a1, the closer the blood flow velocity is to 1500um / s from a small value, the closer it is to 1; if it is greater than 1500um / s, the value of a1 is 1; for the stagnant blood flow related sub-factor a2, the closer the blood flow velocity is to 0-30um / s from greater than 30um / s, the closer it is to 1; in the velocity range of 0-30um / s (including 30um / s), a2=1, and the normal blood flow related sub-factor a3=1; The value range of the diameter factor d is 0-1: microcirculatory vessels with a diameter less than or equal to 20 microns are small blood vessels, microcirculatory vessels with a diameter greater than 20 microns and less than or equal to 60 microns are medium blood vessels, and microcirculatory vessels with a diameter greater than 60 microns are large blood vessels; when high-speed blood flow occurs in large, medium and small blood vessels, the related sub-factor d1 of d=1, and values ​​are assigned between 0-1 in other cases; when stagnant blood flow occurs in large, medium and small blood vessels, the related sub-factor d2 of d=1, and values ​​are assigned between 0-1 in other cases.

[0048] Furthermore, the data processing module further includes a fifth type of data C: namely, multi-video recording percentage average data C: C includes at least one sub-item C1; The C1 is the sum of the single-video high-speed blood flow percentage Q1 of each video in all the same videos of the same measurement object and divided by the number of all the same videos of the same measurement object. The result is C1, referred to as the average value of the high-speed blood flow percentage C1 of multiple videos. There is formula 3: C1={[ Q1%(i)] / t} *100%,i=1,2,3...t.;i represents the natural number sequence of videos with Q1% appearing, and the value of videos without Q1% appearing is 0, and t represents the total number of videos of the same measurement object.

[0049] Furthermore, the data processing module further includes a fifth type of data C: namely, multi-video recording percentage average data C: C includes at least two sub-items C1 and C2; C2: The single-video stagnant blood flow index of each video of the same measurement object is calculated. The sum of the blood flow stagnation percentage Q2% divided by the number of all videos of the same measurement object is C2, referred to as the average blood flow stagnation percentage C2 of multiple videos, and there is formula 4, C2 = {[ Q2%(w)] / t} *100%, w=1,2,3...t.; w represents the natural number sequence of videos with Q2% appearing, and the value of videos without Q2% appearing is 0, and t represents the total number of videos of the same measurement object.

[0050] A microcirculation blood flow monitoring device: the system includes a microcirculation observation instrument, a computer or other display device, software, a pressure control and image stabilization device, an acquisition module, a storage module and a data processing module: the acquisition module is to use the microcirculation observation instrument and the computer or other display device to select one or more parts with clear blood vessels and no pressure artifacts on the sublingual mucosa or other parts of the body where the microcirculation can be observed when the observed person is in a resting state, and to observe the blood flow situation and record it with the help of software or other display methods; the storage module is to select one or more parts of the microcirculation observation area and observe them, and then record and store them on the computer hard disk or other media with the help of software or other methods; the data processing module includes a first type of index A, which divides the microcirculation blood flow velocity V of a single blood vessel into different ranges according to the flow velocity, forming a first type of index A corresponding to the velocity range one by one, for the sake of ease of understanding and calculation, also called velocity-related factor a; a is assigned different values ​​according to different blood flow velocity ranges; the assignment interval of a is between greater than or equal to 0 and less than or equal to 1.

[0051] Further, the data processing module includes determining the value of a in each video, and then determining the value of the proportional factor b related to the second category index B of each single video, and the value of its diameter-related factor d. The proportional factor index b refers to the ratio of the area occupied by blood vessels in different flow rate ranges in a single video within the field of view of the instrument at a single position to the area of ​​the single video; or the ratio of the length of blood vessels in different flow rate ranges to the length of the entire blood vessel, or the ratio of the density of blood vessels in different flow rate ranges to all blood vessels in a single video area; density refers to the total length of blood vessels divided by the area of ​​a single video; the assignment interval of b is between greater than or equal to 0 and less than or equal to 1. Different values ​​are assigned to d according to blood vessels in different diameter ranges, and the assignment interval of d is between greater than or equal to 0 and less than or equal to 1. The value of Qn% is calculated using formula 1; and C1 and C2 of the fifth category of data C are calculated according to formulas 3 and 4; Furthermore, the microcirculation observation instrument is a microcirculation microscope, and an adjustable pressure control and image stabilization device is installed on the microcirculation microscope probe. The device includes a positioning device installed on the microcirculation instrument slender probe (1), and the positioning device includes a front end (4) of the positioning device and a rear end (6) of the positioning device. The front end (4) and the rear end (6) of the positioning device are sleeves. The front end and the rear end of the positioning device have through holes in the center, allowing the microcirculation instrument slender probe or the slender probe disposable conical protection device to pass through the through holes. The rear end (6) of the positioning device is close to the microcirculation instrument host (7); the front end (4) of the positioning device and the rear end (6) of the positioning device are fixed as a whole or connected separately; the positioning device can reciprocate along the axial direction (2) of the slender probe of the microcirculation instrument host and be fixed after being adjusted to a suitable position, and the front end (4) of the positioning device has a flange (4-1) that acts as a bracket; The pressure control and image stabilization devices on the microcirculation microscope are adjusted to a suitable length so that the front end of the slender probe of the microcirculation microscope just touches the sublingual mucosa and is blocked by the outer lips, so that a clear image can be seen without excessively compressing the blood flow to cause artificial stasis artifacts; the pressure control and image stabilization devices are installed on the microcirculation microscope probe, and stable, clear and pressure-artifact-free microcirculation video is collected when the subject is in a resting state and stored on a computer hard disk or other media.

[0052] The beneficial effects of the present invention are: 1. High-speed blood flow in microcirculation is a special manifestation of ultra-early and early septic shock. The microcirculation quantitative index and data detection and calculation system and method proposed in the present invention have sufficient sensitivity, specificity and accuracy of positive predictive value for ultra-early and early prediction of septic infection as mentioned above.

[0053] 2. Various large-scale operations such as cardiac surgery, brain surgery, thoracic surgery, abdominal surgery, etc., all have the problem of postoperative infection, which often leads to successful operations but the patient eventually dies from the infection. Therefore, during the observation period after the operation, it is necessary to closely observe possible infections in the wound. The appearance of moderate or severe infection indicators in the microcirculation indicates that the wound has an early or mid-to-late stage infection and requires immediate rescue.

[0054] 3. Determination of the degree of septic infection and shock based on the percentage of the multi-video percentage average data C; Determination of the degree of septic infection and shock.

[0055] 4. The detection and calculation system and method of microcirculation quantitative indicators and data can check the sensitivity or resistance of antibiotics to a certain bacterium.

[0056] 5. At the same time, in emergency and critical fluid resuscitation, the ultimate goal is to restore microcirculatory perfusion. Therefore, microcirculatory perfusion also requires microcirculatory flow rate quantitative indicators and data detection and calculation systems and methods to relatively accurately evaluate the final results of fluid resuscitation. The final result is that the microcirculatory blood flow returns to normal.

[0057] 6. At the same time, high-speed blood flow in the microcirculation can easily lead to tachycardia, which can easily lead to heart failure in patients with poor heart function. Therefore, the detection and calculation system and method of the microcirculation flow velocity quantitative indicators and data of the present invention can timely evaluate the possibility of heart failure and take preventive measures in advance.

[0058] 7. Quantitative indicators and methods of microhemodynamics (microcirculation) can more accurately determine the gold standard for individualized infusion volume based on individual differences. During the initial resuscitation, blood flow recovers from stagnant blood flow to high-speed blood flow. If blood stasis reappears in the later stage of infusion, especially if the pulse blood flow weakens or disappears, it indicates that the infusion volume exceeds the body's tolerance limit. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The present invention is further described below with reference to the accompanying drawings and embodiments.

[0060] Figure 1 It is a screenshot of the software interface of the microcirculation monitoring system of the present invention; Figure 2 It is a hardware schematic diagram of the microcirculation monitoring system of the present invention; Figure 3-Figure 6 Schematic diagram of different pressure control and image stabilization devices on a microcirculation microscope. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings of the specification. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and does not serve as any limitation on the present invention and its application or use. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without carrying out creative work are within the scope of protection of the present invention.

[0062] Technologies, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0063] As an embodiment, a detection and calculation system and method for quantitative indexes and data of microcirculation flow rate, referred to as: microcirculation blood flow monitoring system: including a computer or other display device, a microcirculation observation instrument, software, an acquisition module, a storage module and a data processing module: the acquisition module is to use the microcirculation observation device and the computer or other display device to select one or more parts with clear blood vessels and no pressure artifacts on the sublingual mucosa or other parts of the body where microcirculation can be observed in a resting state of the observed person, and to observe the blood flow with the help of software or other display methods and record the video; The storage module is used to select one or more observation areas of the microcirculation and then record and store them on a computer hard disk or other media with the help of software or other means; the data processing module includes the first type of data and the corresponding first type of index A, which divides the first type of data, i.e., the microcirculation blood flow velocity V of a single blood vessel, into different ranges according to the flow velocity, to form the first type of index A corresponding to the velocity range. For the convenience of understanding and calculation, the first type of index A corresponds to the velocity-related factor a; a is assigned different values ​​according to different blood flow velocity ranges; the value range of a is between greater than or equal to 0 and less than or equal to 1. The velocity factor a includes one or more of the following parameters: high-speed blood flow parameter a1, stagnant blood flow parameter a2, and normal blood flow parameter a3.

[0064] As an embodiment, the high-speed blood flow related sub-factor a1 corresponds to a high-speed blood flow with a microcirculation blood flow velocity V greater than 1000um / s. The high-speed blood flow index is divided into three levels: High-speed level 1 Vd3: high-speed blood flow velocity is greater than or equal to 1500um / s; High-speed secondary Vd2: high-speed blood flow velocity is greater than or equal to 1300um / s and less than 1500um / s; High-speed level 3 Vd1: high-speed blood flow velocity is greater than 1000um / s and less than 1300um / s; The stagnant blood flow related sub-factor a2 corresponds to the stagnant blood flow with a microcirculatory blood flow velocity V less than or equal to 90 um / s, and is divided into three levels: Stasis level 1 Vz4: Stasis blood flow velocity is less than or equal to 30um / s; Stasis level 2 Vz5: Stasis blood flow velocity is greater than 30um / s and less than or equal to 60um / s; Stasis level 3 Vz6: Stasis blood flow velocity is greater than 60um / s and less than or equal to 90um / s.

[0065] The normal blood flow-related sub-factor a3 corresponds to a normal blood flow in which the microcirculation blood flow velocity V is less than or equal to 1000 um / s and greater than 90 um / s; The flow rate related sub-factors a1, a2, and a3 are given corresponding related flow rate related grandchild factors according to the above different levels of flow rate. The grandchild factors of a1 are a1-1, a1-2, and a1-3; the grandchild factors of a2 are a2-1, a2-2, and a2-3; and the grandchild factor of a3 is a3-1.

[0066] As an embodiment, the data processing module further includes second-category data and corresponding second-category indicators B; the second-category indicators B correspond to the relevant proportional factor b, and the proportional factor indicator b refers to the ratio of the area occupied by blood vessels in different flow rate ranges in a single video within the field of view of the instrument at a single position to the area of ​​a single video; or the ratio of the length of blood vessels in different flow rate ranges to the length of the entire blood vessel, or the ratio of the density of blood vessels in different flow rate ranges to all blood vessels in a single video area, and the density refers to the total length of the blood vessels divided by the area of ​​a single video; the proportional factor b is both the second-category data and the indicator; the value range of the proportional factor b is between greater than or equal to 0 and less than or equal to 1.

[0067] As an embodiment, the data processing module further includes third-category data and a corresponding third-category indicator D; the third-category data includes a classification of a blood vessel diameter range, and the third-category indicator D includes a diameter-related factor d corresponding to the blood vessel diameter range, which corresponds each blood vessel data in different diameter ranges to a diameter-related factor d; d is assigned different values ​​according to blood vessels in different diameter ranges; the value assignment interval of the diameter-related factor d is between greater than or equal to 0 and less than or equal to 1.

[0068] As an embodiment, the data processing module further includes a standard factor g of high-speed blood flow, retained blood flow or normal-speed blood flow. When all blood flow velocities belong to the high-speed blood flow range or the retained blood flow range, g=1; when all blood flow velocities belong to the normal-speed blood flow range, the standard factor index g=0; As an embodiment, the data processing module also includes a fourth type of data, namely, the calculation data Qn% of formula 1: multiply the flow velocity related factor a and the proportional factor b and the diameter related factor d and the standard factor index g to obtain the high-speed blood flow or stagnant blood flow or normal blood flow percentage Qn% of a single video, and there is formula 1: Qn%=(a * b * d * g)%, n=1,2,3...natural number series; Q1% is the high-speed blood flow percentage, Q1%=(a1 * b * d * g)%, Q2% is the stagnant blood flow percentage, Q2%=(a2 * b * d * g)%,: Q3% is the normal blood flow percentage: Q3%=(a3 * b * d * g)%, The data processing module also includes the calculation data of formula 2: single video proportion data P: it is composed of Q1, Q2, and Q3; the relationship between them is a proportional relationship, as shown in formula 2: P=Q1%:Q2%; Q3% This proportional relationship shows the proportion between high-speed blood flow, stagnant blood flow and normal blood flow in a single video.

[0069] As an embodiment, the value range of the flow rate factor a in the data processing module is 0-1: for the high-speed blood flow related sub-factor a1, the closer the blood flow velocity is to 1500um / s from a small value, the closer it is to 1; if it is greater than 1500um / s, the value of a1 is 1; for the stagnant blood flow related sub-factor a2, the closer the blood flow velocity is to 0-30um / s from greater than 30um / s, the closer it is to 1; in the speed range of 0-30um / s (including 30um / s), a2=1, and the normal blood flow related sub-factor a3=1; The value range of the diameter factor d is 0-1: microcirculatory vessels with a diameter less than or equal to 20 microns are small blood vessels, microcirculatory vessels with a diameter greater than 20 microns and less than or equal to 60 microns are medium blood vessels, and microcirculatory vessels with a diameter greater than 60 microns are large blood vessels; when high-speed blood flow occurs in large, medium and small blood vessels, the relevant sub-factor d1 of d=1, and values ​​are assigned between 0-1 in other cases; when stagnant blood flow occurs in large, medium and small blood vessels, the relevant sub-factor d2 of d=1, and values ​​are assigned between 0-1 in other cases.

[0070] As an embodiment, the data processing module further includes a fifth type of data C: namely, multi-video recording percentage average data C: C includes at least one sub-item C1; The C1 is the sum of the single video high-speed blood flow percentage Q1 of each video in all the same videos of the same measurement object and divided by the number of all the same videos of the same measurement object. The result is C1, referred to as: the average value of the high-speed blood flow percentage of multiple videos C1, with formula 3, C1={[ Q1%(i)] / t} *100%, i=1,2,3...t.; i represents the natural number sequence of videos with Q1% appearing, and the value of videos without Q1% appearing is 0. t represents the total number of videos of the same measurement object with the same recording; The physical meaning of Formula 3 is actually to use the percentage average to aggregate multiple videos into a virtual video, and use the percentage average to represent the high-speed blood flow percentage of the virtual video to indicate the severity of all videos.

[0071] The data processing module further includes a fifth type of data C: namely, multi-video recording percentage average data C: C includes at least two sub-items C1 and C2; C2: The single-video stagnant blood flow index of each video of the same measurement object is calculated. The sum of the blood flow stagnation percentage Q2% divided by the number of all videos of the same measurement object is C2, referred to as the average blood flow stagnation percentage C2 of multiple videos, and there is formula 4, C2 = {[ Q2%(w)] / t} *100%, w=1,2,3...t.; w represents the natural number sequence of videos with Q2% appearing, and the value of videos without Q2% appearing is 0, and t represents the total number of videos of the same measurement object.

[0072] The physical meaning of formula 4 shows the overall average severity of blood stasis. In fact, it is to combine multiple videos into a virtual video, and express the degree of blood stasis in this virtual video as a percentage average, that is, the average severity of blood stasis in all videos this time; The data processing module further includes a fifth type of data C: namely, multi-video recording percentage average data C: C includes at least three sub-items: C1, C2 and C3; C3: The sum of the completely normal percentage Q3 of each single video of the same measurement object is divided by the number of all the same videos of the same measurement object, which is C3, referred to as the average value of the normal blood flow percentage of multiple videos C3. Formula 5, C3={[ Q3(r)] / t}*100%, where r=1,2,3...t.; r represents the natural number sequence of videos with Q3, and the value of videos without Q3 is 0, and t represents the total number of videos of the same measurement object. The physical meaning of formula 5 is to show the overall average recovery degree of normal blood flow. In fact, it is to aggregate multiple videos into a virtual video, and use the percentage average to represent the recovery degree of normal blood flow in this virtual video, that is, the average recovery degree of all videos this time; The data processing module also includes a fifth type of data C: namely, multi-video recording percentage average data C: C includes C1, C2, C3, and C4 sub-item; That is, formula 6: C4 = C1%: C2%: C3% Formula 6 reflects the mutual ratio C4 of the overall high-speed blood flow percentage average C1, the stagnant blood flow percentage average C2, and the normal blood flow percentage average C3 of all the videos collected at the same time for the same measurement object; A device and method embodiment of a microcirculation flow rate quantification index and data detection and calculation system; the system comprises a microcirculation observation instrument, a computer or other display device, a pressure control and image stabilization device, software, an acquisition module, a storage module and a data processing module: the acquisition module is to use the microcirculation observation device and the computer or other display device to select one or more parts with clear blood vessels and no pressure artifacts on the sublingual mucosa or other parts of the body where the microcirculation can be observed when the observed person is in a resting state, and to observe the blood flow situation and record it with the help of software or other display methods; the storage module is to observe one or more parts of the selected microcirculation observation area, and then record and store it on a computer hard disk or other medium with the help of software or other methods; the data processing module comprises a first type of index A, which divides the microcirculation blood flow velocity V of a single blood vessel into different ranges according to the flow velocity, forming a first type of index A corresponding to the velocity range one by one, and for the sake of ease of understanding and calculation, it is also called velocity-related factor a; a is assigned different values ​​according to different blood flow velocity ranges.

[0073] The data processing module includes determining the value of a in each video, and then determining the value of the proportional factor b related to the second category index B of each single video, and the value of its diameter-related factor index d. The proportional factor index b refers to the ratio of the area occupied by blood vessels in different flow rate ranges in a single video within the field of view of the instrument at a single position to the area of ​​the single video; it can also be the ratio of the length of blood vessels in different flow rate ranges to the length of the entire blood vessel, or it can be the ratio of the density of blood vessels in different flow rate ranges to all blood vessels in a single video area, and the density refers to the total length of the blood vessel divided by the area of ​​the single video; the value of the diameter-related factor index d is assigned different values ​​according to blood vessels in different diameter ranges, and the value of Qn% is calculated using formula 1; then C1 and C2 of the fifth category data C are calculated according to formulas 3 and 4; and the P value is calculated using formula 2.

[0074] An adjustable pressure control and image stabilization device is installed on the microcirculation microscope probe, which is characterized in that it includes a positioning device installed on the slender probe 1 of the microcirculation instrument, the positioning device includes a front end 4 of the positioning device and a rear end 6 of the positioning device, both of which are sleeves, and the front end of the positioning device and the rear end of the positioning device have through holes in the center, so that the slender probe of the microcirculation instrument or the disposable conical protective device of the slender probe can pass through the through holes, and the rear end 6 of the positioning device is close to the microcirculation instrument host 7; the front end 4 of the positioning device and the rear end 6 of the positioning device are fixed as a whole or connected in parts; the positioning device can reciprocate along the axial direction 2 of the slender probe of the microcirculation instrument host and be fixed after adjusting to a suitable position, and the front end 4 of the positioning device has a flange 4-1 that acts as a bracket.

[0075] The pressure control and image stabilization device is installed on the microcirculation microscope probe, and stable, clear and pressure-artifact-free microcirculation video is collected when the subject is in a resting state and stored in a computer hard disk or other media.

[0076] Adjust the length of the pressure control and image stabilization device on the microcirculation microscope so that the front end of the slender probe of the microcirculation microscope is blocked by the outer lips just when it touches the sublingual mucosa, so that a clear image can be seen without excessively compressing the blood flow to cause artificial stasis artifacts.

[0077] A device and method for a microcirculation flow velocity quantification index and data detection and calculation system, characterized in that the method for selecting different blood flow velocity ranges is: selecting the fastest blood flow velocity video M from all the same measurement object at the same time, including multiple clear, stable, and pressure artifact-free microcirculation videos; selecting the blood vessel M1 with the fastest blood flow in the fastest blood flow velocity video M as the measurement target; the fastest blood flow velocity does not take into account the blood vessel diameter, and the fastest blood flow velocity is not the velocity of the pulse blood flow, but the velocity of the basic blood flow explained in the present invention; after selecting the blood vessel with the fastest blood flow velocity, its flow velocity is measured, and then it is determined whether the fastest blood flow velocity belongs to the range of high-speed blood flow Vd1, Vd2, Vd3, or belongs to the range of stagnant blood flow Vz4, Vz5, Vz6, or belongs to the range of normal blood flow velocity Vc, and the type of infection can naturally be determined according to the different ranges.

[0078] Note: This fastest blood flow velocity is not the velocity of pulse blood flow, but the average velocity of basal blood flow as mentioned above.

[0079] In the embodiment, when all blood flow velocities in a video field of view belong to the high-speed blood flow range, it is a completely mild-moderate infection or read as 100% mild-moderate infection, when all blood flow velocities in a video field of view belong to the stagnant blood flow range, it is a completely severe infection or read as 100% severe infection, and when all blood flow velocities in a video field of view belong to the normal-speed blood flow range, it is completely normal or read as 100% normal.

[0080] Q1% is the percentage of high-speed blood flow, Q1%=(a1 * b * d *g)%, Q2% is the percentage of stagnant blood flow, Q2%=(a2* b * d*g )%, Q3% is the percentage of normal blood flow.: Q3%=(a3 * b * d*g )% The specific values ​​of all relevant factors, a, b, d, and g, are derived from the above principles and empirical formulas - "Feng Xinghuai-Bernoulli-Warm Shock Principle" Example 1: Ultra-early detection of sepsis (analysis of 5 videos of the same patient at the same time and follow-up video analysis): Video 1: High-speed blood flow is 1215um / s, so the velocity-related factor a of the first indicator A is 0.5, and the high-speed blood flow ratio-related factor b is 0.25. High-speed blood flow includes large, medium and small blood vessels, so the diameter-related factor d is 1, and the standard factor g is 1. According to Formula 1: Qn%=(a * b * d *g)%, n=1,2,3...natural number series; we get: Q1%=(0.5 * 0.25 *1*1)=0.125=12.5%, which can be read as: 12.5% ​​high-speed blood flow, or 12.5% ​​mild-moderate infection.

[0081] Video 2: Normal blood flow, Q3% = (1 * 1 * 1 * 0) = 0, a3 = 1, b = 1, d = 1, standard factor g = 0, read as: normal blood flow or 0% infection Video 3: Only one large blood vessel in quadrants 2 and 4 has suspected high-speed blood flow, V=1208um / s and V=1280um / s respectively. The two large blood vessels account for 30% of the total blood vessels. Therefore, the velocity correlation factor a=0.5 and the high-speed blood flow ratio correlation factor b=0.3 of the first indicator A. High-speed blood flow only includes large blood vessels, so the diameter correlation factor d=0.3 and the standard factor g=1. According to formula 1: Qn%=(a * b * d*g)%, n=1,2,3...natural number series; we get: Q1%=(0.5 * 0.3 *0.3)=0.045=4.5%, which can be read as: 4.5% high-speed blood flow, or 4.5% mild-moderate infection Video 4: There is suspected high-speed blood flow in large, medium and small blood vessels, V is approximately equivalent to 1000um / s (the image is blurred and cannot be measured, template comparison is used). The velocity correlation factor a of the first category indicator A is 0.5, the high-speed blood flow ratio correlation factor b=1, the diameter correlation factor d=1, and the standard factor g=1. According to formula 1, Q1%=(0.5 * 1 * 1* 1* 1)=0.5=50%, which is read as: 50% high-speed blood flow or 50% mild-to-moderate infection.

[0082] Video 5: There are two blood vessels with suspected high-speed blood flow. The velocity-related factor a of the first indicator A is 0.5, the high-speed blood flow ratio-related factor b is 50%, the diameter-related factor d is 0.3, and the standard factor g is 1. According to formula 1, Q1%=(0.5 * 0.5 *0.3*1)=0.075=7.5%, which can be read as: 7.5% high-speed blood flow, or 7.5% mild-moderate infection. According to formula 3, the average value of high-speed blood flow percentage in multiple videos is the average value of mild-moderate infection percentage in multiple videos C1, C1=(0.125+0+0.045+0.5+0.075) / 5=0.149, which is read as 14.9% high-speed blood flow or 14.9% mild-to-moderate infection.

[0083] Through the above indicators, we can know: 1. Suspected high-speed blood flow has been found, that is, the early stage of septic infection. 2. According to the multi-video percentage average index and data C calculation, it can be known that the degree of high-speed blood flow, that is, the overall degree of infection, is mild. 3. C1=14.9% indicates that the degree of high-speed blood flow, that is, the septic infection, is in the super-early or early stage.

[0084] At this time, the patient's procalcitonin (PCT) was 1.1 ng / mL. Analysis of the video of the same patient 12 hours later: Video 1: High-speed blood flow is 2330um / s, so the velocity-related factor a of the first indicator A is 1, and the high-speed blood flow ratio-related factor b is 0.5. High-speed blood flow includes large, medium and small blood vessels, so the diameter-related factor d is 1, and the standard factor g is 1. According to Formula 1: Qn%=(a * b * d*g)%, n=1,2,3...natural number series; we get: Q1%=(1 * 0.5 * 1*1)=0.5=50%, which can be read as: 50% high-speed blood flow or 50% mild-to-moderate infection.

[0085] Video 2: High-speed blood flow 1747 um / s, so the velocity-related factor of the first indicator A is a=1, the high-speed blood flow ratio-related factor b=0.5, and the high-speed blood flow includes large, medium, and small blood vessels, so the diameter-related factor d=1, and the standard factor g=1. According to formula 1: Qn%=(a * b * d *g)%, n=1,2,3..natural number series; get: Q1%=(1 * 0.5 * 1*1)=0.5=50%, read as: 50% high-speed blood flow or 50% mild-moderate infection; Video 3: High-speed blood flow 1305 um / s, so the velocity-related factor of the first indicator A is a=0.8, the high-speed blood flow ratio-related factor b=0.5, and the high-speed blood flow includes large, medium and small blood vessels, so the diameter-related factor d=1, the standard factor g=1, according to formula 1: Qn%=(a*b*d*g)%, n=1,2,3..natural number series; get: Q1%=(0.8*0.5*1*1)=0.4=40%=40% high-speed blood flow; or read as: 40% mild-moderate infection; According to formula 3, the average value of high-speed blood flow percentage in multiple videos is the average value of mild-moderate infection percentage in multiple videos C1, C1=(0.5+0.5+0.4) / 3=0.47=47% high-speed blood flow, or read as 47% mild-moderate infection.

[0086] Conclusion: The average of the percentage of high-speed blood flow in all three videos, i.e. the average of the percentage of mild-moderate infection, is 47% in C1. The situation has worsened compared to 14.9% mild-moderate 12 hours ago.

[0087] At this time, clinical examination showed procalcitonin (PCT) = 15.36 ng / mL; Example 2: Installation and use of pressure control and image stabilization device (referred to as positioning device): As shown in the attached figure Figure 3-Figure 6 A handheld microcirculatory instrument is shown with an image stabilization and probe pressure control device. The device comprises a positioning device installed on the slender probe 1 of the microcirculation instrument. The positioning device is installed in an area with a radius of 100 mm with the axis of the slender probe 1 of the microcirculation instrument as the center. The positioning device comprises a front end 4 of the positioning device and a rear end 6 of the positioning device. Both the front end 4 and the rear end 6 of the positioning device are sleeves. There are through holes in the centers of the front end and the rear end of the positioning device, which allow the slender probe of the microcirculation instrument or the disposable conical protective device of the slender probe to pass through the through holes. The rear end 6 of the positioning device is close to the main unit 7 of the microcirculation instrument. The front end 4 and the rear end 6 of the positioning device are fixed as a whole or connected separately. Figure 3 , Figure 4 , Figure 5 The front end 4 of the positioning device has a flange 4-1 that acts as a bracket. The flange 4-1 can be fitted against a position near the observation object. For example, when observing sublingual microcirculation, the flange 4-1 can be placed against the facial skin near the oral cavity as a fulcrum, which is stable and reliable.

[0088] The positioning device can reciprocate along the axial direction 2 of the slender probe of the microcirculation instrument main body and be fixed after being adjusted to a suitable position. After such reciprocating adjustment, the working distance L between the front end 4 of the positioning device and the front end of the disposable conical protection device 10 of the slender probe is adjusted and then fixed on the microcirculation instrument main body 7 at the same time.

[0089] Example 3, three videos, patient bed: 325110 First, we observed the three videos and found that there was a large area of ​​stagnant blood flow and severe infection. We used formula 1: Qn%=(a *b ​​* d * g)%, to calculate the Q2% value.

[0090] Q2%=(1*1*1*100%*1)=1=100% Video 2: Specify a=1, calculate b=100%, d=1, g=1, Q2%=(1*1*1*100%*1)=1=100% Video 3: Specify a=1, calculate b=50%, d=1, g=1, Q2%=(1*1*50%*1)=0.5=50% Next, Formula 4 calculates the average blood flow percentage C2, which is the average percentage C2 of severe infection or non-infectious shock in multiple videos. C2=(1+1+0.5) / 3=0.83=83%, Calculations showed that the proportion of severe cases was as high as 83%, but blood pressure still did not drop significantly and the patient died two days later.

[0091] The above description is only an exemplary embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A microcirculation blood flow monitoring system: characterized in that: It includes a microcirculation observation instrument, a collection module, a storage module and a data processing module: The collection module is to place the microcirculation observation instrument at a position where the observed person can observe microcirculation, select one or more positions to observe blood flow conditions and collect blood flow data; The storage module stores the blood flow data collected by the collection module on a storage medium; the data processing module includes the first type of data and the corresponding first type of indicator A, which divides the first type of data, i.e., the microcirculation blood flow velocity V of a single blood vessel, into different ranges according to the flow velocity, to form the first type of indicator A corresponding to the velocity range one by one, and the first type of indicator A corresponds to the velocity correlation factor a; the velocity correlation factor a is assigned different values ​​according to different ranges of blood flow velocity; the value assignment interval of the velocity correlation factor a is between greater than or equal to 0 and less than or equal to 1, and the velocity correlation factor a includes one or more of the following related sub-factors: high-speed blood flow correlation sub-factor a1, stagnant blood flow correlation sub-factor a2, and normal blood flow correlation sub-factor a3.

2. The microcirculation blood flow monitoring system according to claim 1, characterized in that: The high-speed blood flow-related sub-factor a1 corresponds to a high-speed blood flow with a microcirculatory blood flow velocity V greater than 1000um / s, and is divided into three levels: High-speed level 1 Vd3: high-speed blood flow velocity is greater than or equal to 1500um / s; High-speed secondary Vd2: high-speed blood flow velocity is greater than or equal to 1300um / s and less than 1500um / s; High-speed level 3 Vd1: high-speed blood flow velocity is greater than 1000um / s and less than 1300um / s; The stagnant blood flow related sub-factor a2 corresponds to the stagnant blood flow with a microcirculatory blood flow velocity V less than or equal to 90 um / s, and is divided into three levels: Stasis level 1 Vz4: Stasis blood flow velocity is less than or equal to 30um / s; Stasis level 2 Vz5: Stasis blood flow velocity is greater than 30um / s and less than or equal to 60um / s; Stasis level 3 Vz6: Stasis blood flow velocity is greater than 60um / s and less than or equal to 90um / s; The normal blood flow related sub-factor a3 corresponds to a normal blood flow with a microcirculation blood flow velocity V less than or equal to 1000um / s and greater than 90um / s; According to the above different levels of flow velocity, corresponding grandchild factors are given to the flow velocity related sub-factors. The flow velocity related sub-factor a1 is divided into grandchild factors a1-1, a1-2, and a1-3; the flow velocity related sub-factor a2 is divided into grandchild factors a2-1, a2-2, and a2-3.

3. The microcirculation blood flow monitoring system according to claim 1, characterized in that: The data processing module also includes second-category data and corresponding second-category indicators B; the second-category indicators B correspond to the proportional factor b, and the proportional factor indicator b refers to the ratio of the area occupied by blood vessels in different flow rate ranges in a single video within the field of view of the instrument at a single position to the area of ​​the single video; or the ratio of the length of blood vessels in different flow rate ranges to the length of the entire blood vessel, or the ratio of the density of blood vessels in different flow rate ranges to all blood vessels in a single video area, and the density refers to the total length of the blood vessel divided by the area of ​​the single video; the proportional factor b is both the second-category data and the indicator; the value range of the proportional factor b is between greater than or equal to 0 and less than or equal to 1.

4. The microcirculation blood flow monitoring system according to claim 1 or 3, characterized in that: The data processing module also includes third-category data and corresponding third-category indicators D; the third-category data includes a classification of blood vessel diameter ranges, and the third-category indicators D include a diameter-related factor d corresponding to the blood vessel diameter range, which corresponds each blood vessel data in different diameter ranges to a diameter-related factor d; the diameter-related factor d is assigned different values ​​according to blood vessels in different diameter ranges; the value assignment interval of the diameter-related factor d is between greater than or equal to 0 and less than or equal to 1.

5. The microcirculation blood flow monitoring system according to any one of claims 1 to 4, characterized in that: The data processing module also includes a standard factor index g for high-speed blood flow, retained blood flow or normal-speed blood flow. When all blood flow velocities belong to the high-speed blood flow range or the retained blood flow range, the standard factor index g=1; when all blood flow velocities belong to the normal-speed blood flow range, the standard factor index g=0.

6. The microcirculation blood flow monitoring system according to any one of claims 1 to 5, characterized in that: The data processing module also includes the fourth type of data, namely the calculation data Qn% of the correlation factor: The calculation method of Qn% is any of the following formulas 1-1, 1-2 or 1-3: Formula 1-1: Qn%=(a * b)% Formula 1-2: Qn% = (a * b * d)% Formula 1-3: Qn% = (a * b * d * g)% Among them, n=1,2,3.. is a natural number series. When n=1, Q1% is the percentage of high-speed blood flow; when n=2, Q2% is the percentage of stagnant blood flow; when n=3, Q3% is the percentage of normal blood flow; a is the flow velocity related factor, b is the proportional factor, d is the diameter related factor, and g is the standard factor indicator.

7. The microcirculation blood flow monitoring system according to any one of claims 1 to 6, characterized in that: The value range of the velocity factor a is 0-1: for the high-speed blood flow related sub-factor a1, the closer the blood flow velocity is to 1500um / s from a small value, the closer it is to 1; if it is greater than 1500um / s, the value of a1 is 1; for the stagnant blood flow related sub-factor a2, the closer the blood flow velocity is to 0-30um / s from greater than 30um / s, the closer it is to 1; in the speed range of 0-30um / s (including 30um / s), a2=1, and the normal blood flow related sub-factor a3=1; The value range of the diameter factor d is 0-1: microcirculatory vessels with a diameter less than or equal to 20 microns are small blood vessels, microcirculatory vessels with a diameter greater than 20 microns and less than or equal to 60 microns are medium blood vessels, and microcirculatory vessels with a diameter greater than 60 microns are large blood vessels; when high-speed blood flow occurs in large, medium and small blood vessels, the related sub-factor d1 of d=1, and values ​​are assigned between 0-1 in other cases; when stagnant blood flow occurs in large, medium and small blood vessels, the related sub-factor d2 of d=1, and values ​​are assigned between 0-1 in other cases.

8. The microcirculation blood flow monitoring system according to any one of claims 1 to 7, characterized in that: The data processing module further includes a fifth type of data C: namely, multi-video recording percentage average data C: C includes at least one sub-item C1; The C1 is the sum of the single video high-speed blood flow percentage Q1 of each video in all the same videos of the same measurement object and divided by the number of all the same videos of the same measurement object. The result is C1, referred to as: the average value of the high-speed blood flow percentage of multiple videos C1, with formula 3, C1={[ Q1%(i)] / t} *100%, i=1,2,3...t.; i represents the natural number sequence of videos in which Q1% appears, and the value of videos without Q1% is 0. t represents the total number of videos of the same measurement object.

9. The microcirculation blood flow monitoring system according to claim 8, characterized in that: The data processing module further includes a fifth type of data C: namely, multi-video recording percentage average data C: C includes at least two sub-items C1 and C2; C2: The single-video stasis blood flow index of each video of the same measurement object is calculated. The sum of the blood flow stagnation percentage Q2% divided by the number of all videos of the same measurement object is C2, referred to as the average blood flow stagnation percentage C2 of multiple videos, and there is formula 4, C2 = {[ Q2%(w)] / t} *100%, w=1,2,3...t.; w represents the natural number sequence of videos with Q2% appearing, and the value of videos without Q2% appearing is 0, and t represents the total number of videos of the same measurement object.

10. A microcirculation blood flow monitoring device, characterized in that: The system includes a microcirculation observation instrument, a computer, a pressure control and image stabilization device, an acquisition module, a storage module and a data processing module; the acquisition module is to place the microcirculation observation instrument at a position where the observed person can observe microcirculation, select one or more positions to observe blood flow conditions and collect blood flow data; the storage module is to store the blood flow data collected by the acquisition module on a storage medium; the data processing module includes a first type of indicator A, which divides the microcirculation blood flow velocity V of a single blood vessel into different ranges according to the flow velocity, forming a first type of indicator A corresponding to the velocity range, and the first type of indicator A corresponds to the velocity-related factor a; a is assigned different values ​​according to different blood flow velocity ranges; the assignment interval of a is between greater than or equal to 0 and less than or equal to 1.

11. The microcirculation blood flow monitoring device according to claim 10, characterized in that: The data processing module includes determining the value of a in each video, and then determining the value of the proportional factor b related to the second category indicator B of each single video, and the value of its diameter-related factor d. The proportional factor indicator b refers to the ratio of the area occupied by blood vessels in different flow rate ranges in a single video within the field of view of the instrument at a single position to the area of ​​a single video; or the ratio of the length of blood vessels in different flow rate ranges to the length of the entire blood vessel, or the ratio of the density of blood vessels in different flow rate ranges to all blood vessels in a single video area; density refers to the partial length or total length of the blood vessel divided by the area of ​​a single video; the assignment interval of b is between greater than or equal to 0 and less than or equal to 1. Different values ​​are assigned to d according to blood vessels in different diameter ranges, and the assignment interval of d is between greater than or equal to 0 and less than or equal to 1. The value of Qn% is calculated using formula 1; Then calculate C1 and C2 of the fifth category data C according to formulas 3 and 4.

12. The microcirculation blood flow monitoring device according to claim 10, characterized in that: The microcirculation observation instrument is a microcirculation microscope. An adjustable pressure control and image stabilization device is installed on the probe of the microcirculation microscope. The device comprises a positioning device installed on the slender probe (1) of the microcirculation instrument. The positioning device comprises a front end (4) of the positioning device and a rear end (6) of the positioning device. The front end (4) and the rear end (6) of the positioning device are both sleeves. The front end and the rear end of the positioning device have through holes in their centers, which allow the slender probe of the microcirculation instrument or the disposable conical protection device of the slender probe to pass through the through holes. The rear end (6) of the positioning device is close to the main body (7) of the microcirculation instrument. The front end (4) of the positioning device and the rear end (6) of the positioning device are fixed as a whole or connected separately. The positioning device can reciprocate along the axial direction (2) of the slender probe of the main body of the microcirculation instrument and be fixed after being adjusted to a suitable position. The front end (4) of the positioning device has a flange (4-1) that acts as a bracket.

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