An automatic drug delivery system for hemolytic drugs and a drainage monitoring device

Abstract

The present application proposes an automatic drug delivery system for hemolytic drugs and a drainage monitoring device. The system includes: a detection module, which detects the dripping rate of the drained cerebrospinal fluid within a preset time period, detects the transmitted light intensity of the drained cerebrospinal fluid, and obtains the voltage change amplitude; a calculation module, which calculates the blood content ratio and pressure difference in the cerebrospinal fluid; a dosage module, which calculates the standard hemolytic drug dosage; a drug delivery module, which selects the hemolytic drug according to the standard hemolytic drug dosage, adjusts the drug dosage, and injects the hemolytic drug into the patient's body. This solution monitors the light intensity signal and dripping rate information of the drainage fluid while draining. The color saturation change can intuitively reflect the changing trend of the blood content ratio in the cerebrospinal fluid. The blood content ratio and pressure value in the cerebrospinal fluid are combined to dynamically adjust the drug dosage, ensuring more accurate drug delivery, improving work efficiency while reducing nursing workload, and avoiding irritation to the patient caused by manual adjustment of the drainage tube.

Description

Technical Field

[0001] The present application relates to the field of external drainage of cerebrospinal fluid, and in particular to an automatic drug delivery system for hemolytic drugs and a drainage monitoring device. Background Art

[0002] External cerebrospinal fluid drainage is the most convenient way for neurosurgery to directly reflect the intracranial condition through drainage status. During external cerebrospinal fluid drainage, samples are manually recorded from the intracranial pressure, drainage fluid color and other external characteristics to form a rough reflection of the intracranial condition, and then combined with laboratory tests such as cell counting and biochemical testing to formulate appropriate clinical diagnosis and treatment plans.

[0003] During extraventricular drainage, monitoring of drainage fluid color changes is of great significance for the judgment and follow-up of the patient's condition. It can not only detect the extent of new intracranial bleeding in patients in a timely manner, but also timely perform appropriate intraluminal thrombolytic therapy according to the blood content in the cerebrospinal fluid to prevent drainage obstruction. Whether there is new active bleeding can be compared and judged clinically by multiple head CT examinations. Although it can quantify whether the bleeding has increased, it is impossible to make early judgments and it is difficult to detect continuously in real time. In practice, clinicians often rely on the naked eye to judge the color depth of cerebrospinal fluid in the drainage tube, using terms such as red, bright red, and dark red to describe it. It is impossible to make a refined quantitative comparison, which results in the judgment of whether there is new bleeding is usually delayed.

[0004] At present, after the implementation of extraventricular drainage, the clinical observation of whether there is active bleeding is mainly through the detection of the blood content ratio in the drained cerebrospinal fluid. The doctor needs to squeeze / rotate the drainage tube to obtain the amount of drainage fluid per unit time and the color change of the drainage fluid. When recording the color of the drainage fluid, the color cannot accurately describe the proportion of blood content in the cerebrospinal fluid. At the same time, squeezing / rotating the drainage tube may cause pain and discomfort to the patient, and loose fixation of the drainage tube may also cause iatrogenic infection. Summary of the invention

[0005] Based on the problems existing in the prior art, the present application provides an automatic drug delivery system for hemolytic drugs and a drainage monitoring device. The specific scheme is as follows:

[0006] An automatic dosing system for hemolytic drugs, integrated into the drainage monitor;

[0007] The automatic drug delivery system comprises:

[0008] A detection module, used to detect the dripping rate of the drained cerebrospinal fluid within a preset time period, detect the transmitted light intensity of the drained cerebrospinal fluid, and convert the transmitted light intensity into a voltage form to obtain a voltage change amplitude;

[0009] a calculation module, for calculating the blood content ratio in the cerebrospinal fluid according to the voltage change amplitude, calculating the drainage volume and the corresponding pressure difference according to the dripping rate, and displaying the blood content ratio in the cerebrospinal fluid on the drainage monitor in the form of color saturation;

[0010] A dosage module, used for inputting the pressure difference and the blood content ratio in the cerebrospinal fluid into a preset dosage relationship to calculate a standard hemolytic drug dosage; wherein, in the dosage relationship, the standard hemolytic drug dosage decreases with an increase in the pressure difference and increases with an increase in the blood content ratio in the cerebrospinal fluid;

[0011] The drug administration module is used to select a hemolytic drug according to the standard hemolytic drug dosage, adjust the drug dosage, and inject the hemolytic drug into the patient's body.

[0012] In some specific embodiments, the dosage relationship is expressed as:

[0013]

[0014] Among them, Q represents the standard hemolytic drug dose, V represents the volume of the drainage line, P represents the pressure difference between the cerebrospinal fluid pressure and the height of the drainage device scale, L represents the blood content ratio in the cerebrospinal fluid, and m represents the pressure value coefficient.

[0015] In some specific embodiments, in the calculation module, the calculation expression of the blood content ratio in the cerebrospinal fluid is:

[0016]

[0017] Among them, L represents the proportion of blood content in cerebrospinal fluid, x represents the voltage change amplitude, They are the first blood coefficient, the second blood coefficient, the third blood coefficient, the first cerebrospinal fluid coefficient and the second cerebrospinal fluid coefficient.

[0018] In some specific embodiments, in the calculation module, the calculation expression of the pressure difference is:

[0019]

[0020] Wherein, P represents the pressure difference between the cerebrospinal fluid pressure and the height of the drainage device scale, v represents the dripping rate of the drainage droplets within a preset time period, are the first pressure coefficient, the second pressure coefficient and the third pressure coefficient respectively, and the value range of T is (0.065, 0.070).

[0021] In some specific embodiments, the automatic drug delivery system further comprises a dose difference module;

[0022] The dose difference module is used to obtain medical record data, and to find out whether the patient has cerebrospinal fluid drainage from the medical record data; if so, to find the test data when the patient has cerebrospinal fluid drainage and the corresponding hemolytic drug dose, and obtain the historical test data and the historical hemolytic drug dose;

[0023] Analyzing whether the pressure difference and the blood content ratio in the cerebrospinal fluid can be obtained from the historical test data, and if so, calculating the historical standard hemolytic drug dosage based on the pressure difference and the blood content ratio in the cerebrospinal fluid, and calculating the difference between the historical standard hemolytic drug dosage and the historical hemolytic drug dosage to obtain a first difference;

[0024] The drug administration module is used to adjust the drug dosage according to the first difference value based on the standard hemolytic drug dosage.

[0025] In some specific embodiments, the detection module is also used for: based on pre-configured whole blood cerebrospinal fluid samples of different concentrations, and using artificial cerebrospinal fluid as a diluent, diluting the whole blood cerebrospinal fluid samples by different multiples to obtain multiple groups of diluted samples, combining physiological saline samples and undiluted whole blood cerebrospinal fluid samples, and analyzing the color saturation corresponding to the blood content ratio in different cerebrospinal fluids; detecting the voltage value corresponding to the transmitted light intensity of droplets of samples with different color saturations during the dripping process, and obtaining the relationship between the transmitted light intensity, color saturation and the corresponding voltage change amplitude.

[0026] In some specific embodiments, the drug delivery module is further used for:

[0027] The location of bleeding, the time of first bleeding, the duration and frequency of bleeding, and the changing trend of the blood content ratio in the cerebrospinal fluid can be used to determine whether it is acute bleeding or chronic bleeding;

[0028] If it is acute bleeding, the drug dosage is increased on the basis of the standard hemolytic drug dosage, and the drug dosage is adjusted according to the patient's bleeding condition until the bleeding stops or the symptoms are relieved;

[0029] In case of chronic bleeding, the drug dosage is reduced based on the standard hemolytic drug dosage, and the drug dosage is continuously adjusted according to the blood content ratio in the cerebrospinal fluid.

[0030] In some specific embodiments, in the detection module, an infrared light tube and a photoelectric sensor are respectively arranged on both sides of the drainage droplets. The infrared light tube emits an infrared light beam and irradiates the drainage droplets, and the transmitted light intensity and the dripping speed are calculated based on the transmitted light received by the photoelectric sensor.

[0031] In some specific embodiments, the dosage module is configured with a prediction model, and the prediction model makes a prediction based on the dosage relationship;

[0032] The prediction model includes a decision tree algorithm model, a Bayesian network model, a deep learning network model or a clinical decision support system.

[0033] A drainage monitoring device, comprising a drainage monitor and an automatic drug delivery system for a hemolytic drug as described in any one of the above;

[0034] The automatic drug delivery system is integrated on the drainage monitor.

[0035] Beneficial effects: The present application proposes an automatic drug administration system for hemolytic drugs and a drainage monitoring device, which monitor the light intensity signal and drip rate information of the drainage fluid during drainage, and can intuitively reflect the changing trend of the blood content ratio in the cerebrospinal fluid through changes in color saturation. The drug dosage is dynamically adjusted based on the blood content ratio and pressure value in the cerebrospinal fluid to ensure more accurate drug administration and avoid overdose or underdose, thereby achieving automated and precise drug administration of hemolytic drugs, significantly improving the therapeutic effect and safety, improving work efficiency while reducing nursing workload, and avoiding irritation to patients caused by manual adjustment of the drainage tube.

[0036] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 It is a schematic diagram of a module of the automatic drug delivery system of the present application;

[0039] Figure 2 It is a schematic diagram of the voltage reduction amplitude of the sample diluted 10 times in the present application;

[0040] Figure 3 It is a schematic diagram of the voltage reduction amplitude of the sample diluted 100 times in the present application;

[0041] Figure 4 is a fitting curve diagram of the voltage reduction amplitude and the ratio of the blood content in the cerebrospinal fluid of the present application;

[0042] Figure 5 It is a schematic diagram of the principle of the automatic drug delivery system of the present application.

[0043] Figure numerals: 1 - detection module; 2 - calculation module; 3 - dosage module; 4 - drug administration module. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0045] This application proposes an automatic drug delivery system for hemolytic drugs. During drainage, the pressure of the drainage fluid and the trend of the blood content ratio in the cerebrospinal fluid are monitored, and the required dose of the hemolytic drug is comprehensively determined by the blood content ratio and pressure value in the cerebrospinal fluid. The module diagram of the automatic drug delivery system is shown in the attached figure. Figure 1 The principle is shown in the attached Figure 2 The specific plan is as follows:

[0046] An automatic drug delivery system for hemolytic drugs, integrated into a drainage monitor, comprises the following:

[0047] Detection module 1, used to detect the dripping rate of the drainage cerebrospinal fluid within a preset period of time, detect the transmitted light intensity of the drainage cerebrospinal fluid, and convert the transmitted light intensity into a voltage form to obtain a voltage change amplitude;

[0048] Calculation module 2, used to calculate the blood content ratio in the cerebrospinal fluid according to the voltage change amplitude, calculate the drainage volume and the corresponding pressure difference according to the drip rate, and display the blood content ratio in the cerebrospinal fluid on the drainage monitor in the form of color saturation;

[0049] The dosage module 3 is used to input the pressure difference and the blood content ratio in the cerebrospinal fluid into a preset dosage relationship to calculate a standard hemolytic drug dosage; wherein, in the dosage relationship, the standard hemolytic drug dosage decreases with an increase in the pressure difference and increases with an increase in the blood content ratio in the cerebrospinal fluid;

[0050] The drug administration module 4 is used to select a hemolytic drug according to a standard hemolytic drug dosage, adjust the drug dosage, and inject the hemolytic drug into the patient's body.

[0051] In the present application, the automatic drug delivery system is integrated on the drainage monitor. The drainage monitor is a medical device specifically used to monitor and manage various parameters in the drainage process, and is used in various body fluid drainage scenarios, such as cerebrospinal fluid drainage, thoracic drainage, abdominal drainage, etc. Integrating the automatic drug delivery system into the drainage monitor can achieve comprehensive monitoring and intelligent management of the drainage process, so that medical staff only need to observe and record at the patient's bedside regularly, reducing the workload of medical staff. At the same time, relevant parameters can also be displayed on the drainage monitor. In the present application, the proportion of blood content in cerebrospinal fluid is displayed on the drainage monitor in the form of color saturation, which is convenient for medical staff to intuitively obtain relevant drainage information.

[0052] Among them, the detection module is responsible for detecting the dripping rate and voltage change amplitude of the drainage cerebrospinal fluid. Exemplarily, the detection module includes an infrared light tube, a photoelectric sensor, and a detection circuit. The detection principle is the infrared sensor method. There are infrared light tubes and photoelectric sensors on both sides of the drainage droplets. The intensity of the transmitted light intensity received by the sensor is used to calculate the voltage reduction amplitude and the dripping rate. Specifically, the infrared light tube: emits an infrared light beam. The photoelectric sensor: receives the infrared light intensity transmitted through the droplets and converts the light intensity change into an electrical signal. The detection circuit: includes a signal amplifier and an A / D converter, which are used to process the signal output by the photoelectric sensor and convert it into a digital signal.

[0053] When a droplet falls, the color of the droplet affects its absorption and scattering of light. If the droplet is colorless and transparent (such as pure water or a nearly colorless liquid), the light is less absorbed and scattered when passing through the droplet, so the light intensity changes less. If the droplet contains pigments or other substances that affect light transmission (such as blood), the light will be partially absorbed or scattered when passing through the droplet, resulting in a larger change in light intensity. Since the color of the droplet is related to its absorption and scattering of light, the transparency of the droplet can be judged by detecting the decrease in light intensity. Small light intensity change: indicates that the droplet is nearly colorless and transparent, with good light transmittance. Large light intensity change: indicates that there are more colored substances in the droplet and poor light transmittance. During the drainage process, the proportion of blood in the cerebrospinal fluid directly affects the transparency of the drainage fluid. The higher the blood content ratio, the darker the color of the droplet, and the greater the decrease in the intensity of the transmitted light. The lower the blood content ratio, the lighter the color of the droplet, and the smaller the decrease in the intensity of the transmitted light. At the same time, the droplets are counted to obtain the current dripping rate, and the pressure difference at the current moment is further calculated through the dripping rate.

[0054] The specific workflow includes: the infrared light tube emits an infrared light beam, and the droplets pass through the infrared light beam during the falling process. The photoelectric sensor receives the intensity of the infrared light after passing through the droplets, and the detected light intensity varies with the depth of the color of the droplets. The photoelectric sensor converts the light intensity change into an electrical signal, which is amplified and converted into a digital signal through the detection circuit. The calculation module calculates the blood content ratio in the cerebrospinal fluid based on the received electrical signal, and obtains the color saturation based on the blood content ratio in the cerebrospinal fluid, and displays the blood content ratio in the form of color saturation on an external device.

[0055] In some specific embodiments, the detection module is also used to: based on pre-configured whole blood cerebrospinal fluid samples of different concentrations, and using artificial cerebrospinal fluid as a diluent, dilute the whole blood cerebrospinal fluid samples by different multiples to obtain multiple groups of diluted samples, combine physiological saline samples and undiluted whole blood cerebrospinal fluid samples, and analyze the color saturation corresponding to the blood content ratio in different cerebrospinal fluids; detect the voltage value corresponding to the transmitted light intensity of the droplets of samples with different color saturations during the dripping process, and obtain the relationship between the transmitted light intensity, color saturation and the corresponding voltage change amplitude. By pre-configuring whole blood cerebrospinal fluid samples of different concentrations, and combining physiological saline samples and undiluted whole blood cerebrospinal fluid samples, the color saturation corresponding to the blood content ratio in different cerebrospinal fluids can be analyzed. Then, by detecting the voltage value corresponding to the transmitted light intensity of the droplets of samples with different color saturations during the dripping process, the relationship between the transmitted light intensity, color saturation and the corresponding voltage change amplitude is obtained, and the blood content ratio in the cerebrospinal fluid can be accurately detected in practical applications.

[0056] In order to accurately detect the blood content ratio and pressure value in the cerebrospinal fluid of the detected drop, it is necessary to first calibrate the voltage drop corresponding to various concentrations of bloody cerebrospinal fluid, as well as the corresponding relationship between different pressure values ​​and dripping speed. Pre-configure whole blood cerebrospinal fluid samples of different concentrations, and use artificial cerebrospinal fluid as a diluent. The whole blood was diluted to 5 times, 10 times, 40 times, 70 times, 100 times, 400 times, 700 times, and 1000 times, respectively. In addition, physiological saline samples and undiluted whole blood cerebrospinal fluid samples were also included. Samples of different concentrations corresponded to levels 0-10 from low to high (normal saline is level 0, and undiluted whole blood is level 10). The concentration of the blood content ratio in the cerebrospinal fluid corresponds to the color saturation, and 11 levels are set, which are divided into 10 intervals, as shown in Table 1.

[0057] Table 1 Correspondence between density and color saturation

[0058]

[0059] Detect the voltage value corresponding to the intensity of the transmitted light of the droplets of samples with different color saturation during the dripping process. Detect and record the ADC value corresponding to the intensity of the transmitted light of the sensor during the dripping process of the droplets of samples with different concentrations. Detect 100 droplets for each concentration, and superimpose and average the data of the 100 droplets as the detection data of the sample of that concentration. Figure 3 and attached Figure 4 These are the test data of the sample diluted 10 times and the sample diluted 100 times. It can be seen that the voltage reduction of the sample diluted 10 times is about 700, and the voltage reduction of the sample diluted 100 times is about 450. According to the test results, the relationship between the transmitted light intensity, color saturation and the corresponding voltage change amplitude is analyzed. A table or functional relationship can be established to correspond the transmitted light intensity to the color saturation level one by one, so that in practical applications, the blood content ratio in the cerebrospinal fluid can be judged according to the detected voltage change amplitude.

[0060] First, the voltage drop of the droplet is calculated by taking the ADC reference value when no droplet falls as , the lowest voltage value when the droplet falls is recorded as ,but class( ) The corresponding decrease in concentration of droplets It can be expressed as: Among them, the ADC reference value As shown in Table 2, the voltage reduction amplitude, the blood content ratio in the cerebrospinal fluid, and the corresponding values ​​of color saturation are shown.

[0061] Table 2 Corresponding relationship between voltage reduction, blood content ratio in cerebrospinal fluid and color saturation

[0062]

[0063] The dosage module 3 calculates the standard hemolytic drug dosage using a preset dosage relationship formula according to the data provided by the detection module 1 and the calculation module 2. In some specific embodiments, the dosage relationship expression is:

[0064]

[0065] Among them, Q represents the standard hemolytic drug dose, V represents the volume of the drainage line, P represents the pressure difference between the cerebrospinal fluid pressure and the height of the drainage device scale, L represents the blood content ratio in the cerebrospinal fluid, and m represents the pressure value coefficient.

[0066] The voltage reduction amplitude of droplets of different concentrations and the proportion of blood content in cerebrospinal fluid were fitted to obtain a calibration curve between the two as shown in the attached figure. Figure 5In some specific embodiments, in the calculation module, the calculation expression of the blood content ratio in the cerebrospinal fluid is:

[0067]

[0068] Among them, L represents the proportion of blood content in cerebrospinal fluid, x represents the voltage change amplitude, are respectively the first blood coefficient, the second blood coefficient, the third blood coefficient, the first cerebrospinal fluid coefficient and the second cerebrospinal fluid coefficient. In some embodiments, The value range is (131.0, 132.6); The value of is (8.370*10 5 ,8.376*10 5 ); The value range is (-2.943*10 8 , -2.945*10 8 ); The value range is (3370, 3384); The value range is (7.513*10 5 ,7.519*10 5 ).

[0069] The blood content ratio of the cerebrospinal fluid of the droplet can be obtained according to the measured voltage reduction amplitude A at this time, and the corresponding color saturation can be reflected in the host computer software, and the real-time analysis and monitoring of the blood content ratio trend in the cerebrospinal fluid can be realized through regular update display. The change of the blood content ratio trend in the cerebrospinal fluid is displayed by a gradient bar. The more blood content ratio in the cerebrospinal fluid, the darker the displayed color; the less blood content ratio in the cerebrospinal fluid, the lighter the displayed color.

[0070] In some specific embodiments, in the calculation module, the calculation expression of the pressure difference is:

[0071]

[0072] Wherein, P represents the pressure difference between the cerebrospinal fluid pressure and the height of the drainage device scale, v represents the dripping rate of the drainage droplets within a preset time period, are the first pressure coefficient, the second pressure coefficient and the third pressure coefficient respectively, and the value range of T is (0.065, 0.070). In some embodiments, the value range of a is (15.03, 17.84); the value range of b is (3.414, 3.434); and the value range of c is (0.953, 1.047).

[0073] By measuring the corresponding dripping rate under different pressure differences, the relationship between the dripping rate and the pressure value is calibrated to obtain the corresponding relationship curve between the dripping rate and the pressure value. The corresponding pressure difference can be calculated from any dripping rate. When the blood content ratio in the cerebrospinal fluid is detected to be greater than or equal to 10% and the pressure difference is less than 5mmH2O, it is very likely that the tube will be blocked. At this time, it is necessary to inject an appropriate amount of hemolytic agent through the three-way valve on the drainage tube to dissolve the blood deposits in the pipeline to ensure the patency of the drainage pipeline.

[0074] For example, the patient is conscious, bedridden, and has bilateral external ventricular drainage, and dark red bloody cerebrospinal fluid can be seen flowing out. Based on the above clinical symptoms and auxiliary examinations, the diagnosis of intraventricular hemorrhage is clear. The patient has intraventricular hemorrhage, obstruction of the fourth ventricle and aqueduct, and the hemorrhage should be treated to reduce the compression of brain tissue. The proportion of blood content in the drained cerebrospinal fluid was detected to reach 10%. From the beginning of drainage, the intracranial pressure gradually decreased and stabilized at around 125mmH2O. When it is detected that the pressure difference gradually decreases and approaches 5mmH2O, according to the above formula, the blood content ratio in the cerebrospinal fluid and the pressure difference are combined to calculate that the amount of urokinase required to be injected is 3000 units, so 0.6ml of urokinase needs to be injected.

[0075] In some specific embodiments, the automatic drug delivery system further comprises a dose difference module;

[0076] The dose difference module is used to obtain medical record data and find out whether the patient has cerebrospinal fluid drainage from the medical record data; if so, the test data when the patient has cerebrospinal fluid drainage and the corresponding hemolytic drug dose are found to obtain historical test data and historical hemolytic drug dose; analyze whether the pressure difference and the blood content ratio in the cerebrospinal fluid can be obtained from the historical test data. If so, the historical standard hemolytic drug dose is calculated based on the pressure difference and the blood content ratio in the cerebrospinal fluid, and the difference between it and the historical hemolytic drug dose is calculated to obtain the first difference; the drug administration module is used to adjust the drug dose according to the first difference on the basis of the standard hemolytic drug dose. Assuming that the current standard hemolytic drug dose is 2000 units, the first difference calculated by the dose difference module is +500 units, then the adjusted drug dose = 2000 + 500 = 2500 units. The automatic drug administration system can dynamically adjust the drug dose according to the patient's historical data, determine the drug dose more accurately, and improve the safety and effectiveness of treatment. Through the analysis of historical data, personalized adjustment of the current drug dose is achieved. Through refined management, unnecessary overdose or underdose of drugs is reduced and the risk of side effects is lowered.

[0077] Exemplarily, the dose difference module obtains patient medical record data from the hospital information system. Check the medical record data for records of cerebrospinal fluid drainage. If there is a record of cerebrospinal fluid drainage, find the test data of the patient during the last drainage (including pressure difference and blood content ratio) and the dose of hemolytic drugs used. If the pressure difference and the blood content ratio in the cerebrospinal fluid cannot be obtained from historical test data, the default standard dose based on clinical experience and standard treatment guidelines can be used. Although this method lacks personalization, it is a reasonable starting point in the absence of historical data. In addition, even without historical data, the system can still make real-time adjustments by monitoring the current blood content ratio and pressure difference in the cerebrospinal fluid in real time.

[0078] In some embodiments, if the medical record data shows that the patient does not have cerebrospinal fluid drainage, a preliminary treatment plan can be established based on the current test results, and gradually adjusted on this basis. An initial dose is determined based on the currently detected blood content ratio and pressure difference. After administration, continue to monitor changes in the blood content ratio and pressure difference in the cerebrospinal fluid. According to the monitoring results, if the blood content ratio decreases and the pressure difference also decreases accordingly, it means that the dose is appropriate and the dose can be maintained or slightly reduced. If the blood content ratio is still high and the pressure difference has not improved significantly, the dose needs to be appropriately increased.

[0079] In some specific embodiments, the drug administration module is also used to: determine whether it is acute bleeding or chronic bleeding based on the location of bleeding, the time of first occurrence of bleeding, the duration and frequency of bleeding, combined with the changing trend of the blood content ratio in the cerebrospinal fluid; if it is acute bleeding, increase the drug dosage based on the standard hemolytic drug dosage, and adjust the drug dosage according to the patient's bleeding condition until the bleeding stops or the symptoms are relieved; if it is chronic bleeding, reduce the drug dosage based on the standard hemolytic drug dosage, and continue to adjust the drug dosage according to the blood content ratio in the cerebrospinal fluid.

[0080] Specifically, bleeding location: determine the specific location of the bleeding, such as intraventricular hemorrhage, subarachnoid hemorrhage, etc., which can be determined by imaging examinations (such as CT or MRI). First appearance time: record the exact time when the bleeding first occurs. Duration: record the length of time the bleeding lasts. Bleeding frequency: record the frequency of bleeding, that is, whether the bleeding is intermittent or continuous. Blood content ratio change trend: monitor the change trend of the blood content ratio in the cerebrospinal fluid to determine whether there is an upward or downward trend.

[0081] If the bleeding occurs suddenly, the first occurrence is relatively recent, the duration is short, the frequency is high, and the blood content ratio increases rapidly, it is judged as acute bleeding. If the bleeding lasts for a long time, the first occurrence is relatively distant, the frequency is low, and the blood content ratio increases slowly, it is judged as chronic bleeding. If it is judged as acute bleeding, it means that the bleeding occurs suddenly and the symptoms worsen sharply. Increase the drug dose on the basis of the standard hemolytic drug dose to speed up the hemolysis and control the bleeding. Dynamically adjust the drug dose according to the patient's bleeding situation until the bleeding stops or the symptoms are relieved. If it is judged as chronic bleeding, it means that the bleeding lasts for a long time and the symptoms gradually worsen. Reduce the drug dose on the basis of the standard hemolytic drug dose to avoid side effects caused by excessive hemolysis. Continuously monitor the changes in the blood content ratio in the cerebrospinal fluid, and adjust the drug dose according to the actual situation to keep the blood content ratio within a safe range.

[0082] In some specific embodiments, a prediction model is configured in the dosage module, and the prediction model makes predictions based on the dosage relationship; the prediction model includes a decision tree algorithm model, a Bayesian network model, a deep learning network model or a clinical decision support system. Configuring a prediction model in the dosage module can significantly improve the intelligence and accuracy of the automatic drug delivery system. The prediction model can predict the appropriate drug dosage based on historical data and current test data, thereby achieving more personalized and accurate treatment. The training process includes: collecting the patient's medical record data, bleeding-related information (such as location, time, frequency), and the changing trend of the blood content ratio in the cerebrospinal fluid. Extract key features from the collected data, such as the location, first appearance time, duration and frequency of bleeding, and the changing trend of the blood content ratio in the cerebrospinal fluid. Use historical data to train the prediction model so that the model can learn the relationship between bleeding and drug dosage. According to the characteristics of the current patient, the trained model is used to generate a prediction result, that is, the recommended drug dosage. According to the patient's response and subsequent test results, the drug dosage is dynamically adjusted to ensure maximum treatment effect.

[0083] Among them, the decision tree can judge whether it is acute bleeding or chronic bleeding based on factors such as the location, first appearance time, duration and frequency of bleeding, combined with the changing trend of the proportion of blood content in cerebrospinal fluid, and predict the appropriate drug dose accordingly. Bayesian network is a graphical model based on probability theory that can express the causal relationship between variables. It can be used to comprehensively consider the interaction between multiple factors (such as bleeding location, time, frequency, etc.) to predict the most appropriate drug dose. Deep learning network models can be used to process large amounts of historical data, learn from them the complex relationship between bleeding and drug dose, and provide more accurate dose predictions. The clinical decision support system (CDSS) is a system based on clinical knowledge bases and algorithms that can integrate patients' clinical data, laboratory test results, imaging data and other information, and provide personalized drug dose recommendations in combination with clinical guidelines and expert opinions.

[0084] The present application also proposes a drainage monitoring device, comprising a drainage monitor and an automatic drug delivery system for a hemolytic drug as described in any one of the above items; the automatic drug delivery system is integrated on the drainage monitor.

[0085] The present application provides a computer program product, which includes computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes an automatic drug delivery system for hemolytic drugs. An automatic drug delivery system for hemolytic drugs is applied to a computer program product for easy execution.

[0086] The present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements an automatic drug delivery system as described above.

[0087] The computer storage medium of the present application may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. The present application applies an automatic drug delivery system for hemolytic drugs to a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, an automatic drug delivery system for hemolytic drugs provided by the present application is implemented, which is simple, fast, easy to store, and not easy to lose.

[0088] The present application proposes an automatic drug administration system for hemolytic drugs and a drainage monitoring device, which monitor the light intensity signal and drip rate information of the drainage fluid during drainage, and can intuitively reflect the changing trend of the blood content ratio in the cerebrospinal fluid through the change of color saturation. The drug dosage is dynamically adjusted according to the blood content ratio and pressure value in the cerebrospinal fluid to ensure more accurate drug administration and avoid overdose or underdose, thereby realizing automatic and precise drug administration of hemolytic drugs, significantly improving the treatment effect and safety, improving work efficiency while reducing nursing workload, and avoiding irritation to patients caused by manual adjustment of the drainage tube.

[0089] Those skilled in the art should understand that the modules of the present application described above can be implemented by a general-purpose computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by program codes executable by a computer system, so that they can be stored in a storage system and executed by the computing system, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0090] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

[0091] The above disclosure only discloses several specific implementation scenarios of the present application. However, the present application is not limited thereto, and any changes that can be conceived by technicians in this field should fall within the scope of protection of the present application.

Claims

1. An automatic drug delivery system for hemolytic drugs, It is characterized in that Integrated into drainage monitor; The automatic drug delivery system comprises: A detection module, used to detect the dripping rate of the drained cerebrospinal fluid within a preset time period, detect the transmitted light intensity of the drained cerebrospinal fluid, and convert the transmitted light intensity into a voltage form to obtain a voltage change amplitude; a calculation module, for calculating the blood content ratio in the cerebrospinal fluid according to the voltage change amplitude, calculating the drainage volume and the corresponding pressure difference according to the dripping rate, and displaying the blood content ratio in the cerebrospinal fluid on the drainage monitor in the form of color saturation; A dosage module, used for inputting the pressure difference and the blood content ratio in the cerebrospinal fluid into a preset dosage relationship to calculate a standard hemolytic drug dosage; wherein, in the dosage relationship, the standard hemolytic drug dosage decreases with an increase in the pressure difference and increases with an increase in the blood content ratio in the cerebrospinal fluid; a drug administration module, used for selecting a hemolytic drug according to the standard hemolytic drug dosage, adjusting the drug dosage, and injecting the hemolytic drug into the patient; The expression of the dosage relationship is: Q=5000*(V*L+m*P) Wherein, Q represents the standard hemolytic drug dose, V represents the volume of the drainage line, P represents the pressure difference between the cerebrospinal fluid pressure and the height of the drainage device scale, L represents the blood content ratio in the cerebrospinal fluid, and m represents the pressure value coefficient; In the calculation module, the calculation expression of the blood content ratio in the cerebrospinal fluid is: Among them, L represents the proportion of blood content in cerebrospinal fluid, x represents the voltage change amplitude, and p 1 、p 2 、p 3 ,q 1 ,q 2 They are the first blood coefficient, the second blood coefficient, the third blood coefficient, the first cerebrospinal fluid coefficient, and the second cerebrospinal fluid coefficient; The calculation expression of pressure difference is: Wherein, P represents the pressure difference between the cerebrospinal fluid pressure and the height of the drainage device scale, v represents the dripping rate of the drainage droplets within a preset time period, a, b, c are the first pressure coefficient, the second pressure coefficient and the third pressure coefficient respectively, and the value range of T is (0.065, 0.070).

2. The automatic drug delivery system according to claim 1, It is characterized in that The automatic drug delivery system further comprises a dose difference module; The dose difference module is used to obtain medical record data, and to find out whether the patient has cerebrospinal fluid drainage from the medical record data; if so, to find the test data when the patient has cerebrospinal fluid drainage and the corresponding hemolytic drug dose, and obtain the historical test data and the historical hemolytic drug dose; Analyzing whether the pressure difference and the blood content ratio in the cerebrospinal fluid can be obtained from the historical test data, and if so, calculating the historical standard hemolytic drug dosage based on the pressure difference and the blood content ratio in the cerebrospinal fluid, and calculating the difference between the historical standard hemolytic drug dosage and the historical hemolytic drug dosage to obtain a first difference; The drug administration module is used to adjust the drug dosage according to the first difference value based on the standard hemolytic drug dosage.

3. The automatic drug delivery system according to claim 1, It is characterized in that The detection module is also used to: based on pre-configured whole blood cerebrospinal fluid samples of different concentrations, and using artificial cerebrospinal fluid as a diluent, dilute the whole blood cerebrospinal fluid samples by different multiples to obtain multiple groups of diluted samples, combine physiological saline samples and undiluted whole blood cerebrospinal fluid samples, and analyze the color saturation corresponding to the blood content ratio in different cerebrospinal fluids; detect the voltage value corresponding to the transmitted light intensity of droplets of samples with different color saturations during the dripping process, and obtain the relationship between the transmitted light intensity, color saturation and the corresponding voltage change amplitude.

4. The automatic drug delivery system according to claim 1, It is characterized in that The drug delivery module is also used for: The location of bleeding, the time of first bleeding, the duration and frequency of bleeding, and the changing trend of the blood content ratio in the cerebrospinal fluid can be used to determine whether it is acute bleeding or chronic bleeding; If it is acute bleeding, the drug dosage is increased on the basis of the standard hemolytic drug dosage, and the drug dosage is adjusted according to the patient's bleeding condition until the bleeding stops or the symptoms are relieved; In case of chronic bleeding, the drug dosage is reduced based on the standard hemolytic drug dosage, and the drug dosage is continuously adjusted according to the blood content ratio in the cerebrospinal fluid.

5. The automatic drug delivery system according to claim 1, It is characterized in that In the detection module, an infrared light tube and a photoelectric sensor are respectively arranged on both sides of the drainage droplet. The infrared light tube emits an infrared beam and irradiates the drainage droplet. The transmitted light intensity and the dripping speed are calculated according to the transmitted light received by the photoelectric sensor.

6. The automatic drug delivery system according to claim 1, It is characterized in that The dosage module is configured with a prediction model, and the prediction model performs prediction based on the dosage relationship; The prediction model includes a decision tree algorithm model, a Bayesian network model, a deep learning network model or a clinical decision support system.

7. A drainage monitoring device, It is characterized in that An automatic drug delivery system comprising a drainage monitor and a hemolytic drug according to any one of claims 1 to 6; The automatic drug delivery system is integrated on the drainage monitor.

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