Medical care and patient integrated follow-up visit support system for preventing TIPS postoperative complications

By designing an integrated follow-up support system for medical and nursing patients, dynamically monitor indicators such as blood ammonia normality, heart rate, systolic blood pressure in patients after TIPS, calculate the performance of complications, and early warning of postoperative complications, solving the problems of misdiagnosis, misdiagnosis and delayed treatment in traditional follow-up management methods.

CN120183754AActive Publication Date: 2025-06-20NANFANG HOSPITAL OF SOUTHERN MEDICAL UNIV

Patent Information

Application Number
CN202510646222.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-20
Publication Date
2025-06-20
Estimated Expiration
2045-05-20

AI Technical Summary

Technical Problem

The traditional TIPS postoperative follow-up management method cannot promptly and accurately warn of complications, resulting in misdiagnosis, misdiagnosis and delayed treatment, affecting the efficacy and life-threatening.

Method used

A medical and nursing integrated follow-up support system was designed to obtain the patient's blood ammonia normality, heart rate, systolic blood pressure discretosis, average amount of protein intake and postoperative stage through the data collection module, and use these data to calculate the performance of complication risk, and provide early warning of postoperative complication risk.

Benefits of technology

By dynamically monitoring the patient's recovery status and physical signs, the early warning ability for postoperative complications of TIPS is improved, the occurrence of missed diagnosis and misdiagnosis is reduced, and the timeliness and accuracy of treatment is improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of medical data processing, in particular to a medical care and patient integrated follow-up visit support system for preventing TIPS postoperative complications, which comprises a data acquisition module, a complication risk representation acquisition module and a risk early warning module, the obtaining module is used for obtaining the blood ammonia normality, the heart rate, the systolic pressure dispersion amplification, the intake protein average amount and the affiliated postoperative stage of a patient, obtaining the body recovery degree of the patient at each follow-up time, and obtaining a recovery state time sequence; obtaining the prognosis poor degree of the patient, and compensating the prognosis poor degree to obtain a recovery risk coefficient of the patient; obtaining a sign risk coefficient of the patient, and obtaining a complication risk expression degree of the patient; and carrying out early warning on the risk of postoperative complications. The invention aims to avoid the influence of the recovery condition and sign data of the patient during the analysis of the TIPS postoperative complications, so that the accuracy of analyzing the TIPS postoperative complications is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of medical data processing, and particularly to a medical staff-patient integrated follow-up support system for preventing complications after TIPS surgery. Background Art

[0002] Transjugular Intrahepatic Portosystemic Shunt (TIPS) is a minimally invasive interventional surgery. By establishing a direct channel between the portal vein and the hepatic vein in the liver, TIPS can effectively relieve portal hypertension and is used to treat severe diseases such as intractable ascites and rupture and bleeding of esophageal and gastric varices caused by portal hypertension. However, due to the significant changes in the physiological environment of patients after TIPS surgery, a series of complications may be triggered.

[0003] Regarding potential postoperative complications, the traditional follow-up management method relies too much on postoperative outpatient reexaminations. The self-management ability of patients is relatively weak, and complications are often delayed in treatment due to untimely or irregular follow-up, affecting the efficacy of TIRS and even endangering life. And after obtaining the complication risk value by evaluating the postoperative complication risk of patients based on clinical guidelines, when judging the complication risk value relying on static risk thresholds and isolated data, it cannot adapt to the dynamic pathological evolution of patients after surgery. As a result, in the acute phase of patients, diseases such as bleeding and shock are missed due to insufficient sensitivity of risk assessment, and in the stable phase of patients, due to too low static risk thresholds, false alarms will lead to over-medical treatment. The traditional follow-up management method lacks the time-series correlation analysis of vital sign parameters such as blood ammonia, and it is difficult to capture early risk trends, resulting in delayed early warning of sudden complications and further delaying treatment. Summary of the Invention

[0004] The present invention provides a medical staff-patient integrated follow-up support system for preventing complications after TIPS surgery to solve the existing problems.

[0005] The medical staff-patient integrated follow-up support system for preventing complications after TIPS surgery of the present invention adopts the following technical solutions: An embodiment of the present invention provides a medical staff-patient integrated follow-up support system for preventing complications after TIPS surgery, and the system includes the following modules: A data acquisition module, which is used to obtain the blood ammonia normality, heart rate, systolic blood pressure dispersion increase, average protein intake per patient, and the postoperative stage to which the patient belongs at each follow-up time; the last follow-up time is recorded as the current follow-up time; The complication risk manifestation degree acquisition module is used to obtain the patient's physical recovery degree at each follow-up time by using the blood ammonia normality at each follow-up time; use the physical recovery degrees after the follow-up time corresponding to the minimum physical recovery degree to form a recovery state time series; use the dispersion degree of the recovery state time series and the increase ratio of the physical recovery degree therein to obtain the poor prognosis degree of the patient; use the time intervals of all follow-up times and the average amount of ingested protein at the current follow-up time to compensate the poor prognosis degree to obtain the patient's recovery risk coefficient; use the increase in the systolic blood pressure dispersion degree at the current follow-up time and the increase in the heart rate at all follow-up times during the postoperative stage to which the current follow-up time belongs to obtain the patient's physical sign risk coefficient; and comprehensively obtain the patient's complication risk manifestation degree based on the patient's physical sign risk coefficient and recovery risk coefficient. The risk early warning module is used to perform early warning of postoperative complication risks by using the patient's complication risk manifestation degree during the postoperative stage to which the current follow-up time belongs.

[0006] Preferably, the steps for obtaining the blood ammonia normality, heart rate, increase in systolic blood pressure dispersion degree, average amount of ingested protein, and the postoperative stage to which the patient belongs at each follow-up time include: Taking the inverse proportional normalization value of the absolute value of the difference between the blood ammonia concentration of the patient at each follow-up time and the prior normal blood ammonia concentration as the blood ammonia normality of the patient at each follow-up time; Taking the standard deviation of the blood systolic pressure at all times from the previous follow-up time to each follow-up time as the systolic blood pressure dispersion degree of the patient at each follow-up time; taking the difference between the systolic blood pressure dispersion degree of the patient at each follow-up time and the systolic blood pressure dispersion degree of the previous follow-up time as the increase in the systolic blood pressure dispersion degree of the patient at each follow-up time; Taking the average value of the estimated protein content of all foods ingested from the surgery time to each follow-up time as the average amount of ingested protein of the patient at each follow-up time; Dividing the time after the surgery into different postoperative stages to obtain the postoperative stage to which the patient belongs at each follow-up time.

[0007] Preferably, the specific steps for obtaining the physical recovery degree include: Performing linear normalization on the follow-up time based on all follow-up times to obtain the time weights of each follow-up time, and using the time weights to weight the blood ammonia normality at each follow-up time to obtain the patient's physical recovery degree at each follow-up time; the physical recovery degree is in a direct proportional relationship with the blood ammonia normality and the time weight of each follow-up time.

[0008] Preferably, the specific steps for obtaining the recovery state time series include: Obtain the physical recovery degree of the patient at all follow-up times before the current follow-up time. Take the follow-up time with the minimum physical recovery degree as the starting recovery time, and record the time series sequence composed of the physical recovery degrees of all follow-up times between the starting recovery time and the current follow-up time as the recovery state time series sequence of the patient.

[0009] Preferably, the specific steps for obtaining the poor prognosis degree include: Record the variance of all physical recovery degrees in the recovery state time series sequence of the patient as the degree of dispersion of the recovery state time series sequence of the patient; Record the ratio of each physical recovery degree to the previous physical recovery degree in the recovery state time series sequence of the patient as the increase rate ratio of each physical recovery degree in the recovery state time series sequence of the patient; Obtain the poor prognosis degree of the patient, and the poor prognosis degree is in a direct proportional relationship with both the degree of dispersion of the recovery state time series sequence and the increase rate ratio of the physical recovery degree therein.

[0010] Preferably, the specific steps for obtaining the recovery risk coefficient include: Obtain the sampling interval error, and the sampling interval error is in a direct proportional relationship with the time intervals between all adjacent two follow-up times; Compensate the poor prognosis degree by combining the sampling interval error and the average amount of protein ingested at the current follow-up time to obtain the recovery risk coefficient of the patient, wherein the sampling interval error and the average amount of protein ingested at the current follow-up time have an inverse proportional compensation effect on the recovery risk coefficient of the patient.

[0011] Preferably, the specific steps for obtaining the sampling interval error include: Record the direct proportional normalization value of the time interval between each follow-up time and the previous follow-up time as the interval error coefficient of each follow-up time; record the average value of the interval error coefficients of all follow-up times as the sampling interval error.

[0012] Preferably, the specific steps for obtaining the physical sign risk coefficient include: Record the set composed of all follow-up times in the postoperative stage to which the current follow-up time belongs as the same-stage set; In the same-stage set, record the difference between the heart rate of each follow-up time and the heart rate of the previous follow-up time as the heart rate increase of each follow-up time; Obtain the prior tolerance range of the postoperative stage to which the current follow-up time belongs; Compare the increase in systolic blood pressure dispersion of each follow-up time in the same-stage set with the prior tolerance range to obtain the systolic blood pressure overstep coefficient of the patient; The mean of the systolic blood pressure overstep coefficient and the heart rate increase at all follow-up times in the same-stage set is combined to obtain the physical sign risk coefficient of the patient; wherein, the physical sign risk coefficient of the patient is in a direct proportional relationship with both the systolic blood pressure overstep coefficient and the mean of the heart rate increase.

[0013] Preferably, the specific steps for obtaining the systolic blood pressure overstep coefficient include: The ratio of the mean of the systolic blood pressure dispersion increase at all follow-up times in the same-stage set to the prior tolerance range is denoted as the systolic blood pressure overstep coefficient of the patient.

[0014] Preferably, the specific steps for obtaining the complication risk manifestation degree include: Obtain the complication risk manifestation degree of the patient, wherein the complication risk manifestation degree of the patient is in a direct proportional relationship with both the physical sign risk coefficient and the recovery risk coefficient.

[0015] The beneficial effects of the technical solution of the present invention are as follows: The present invention obtains the blood ammonia normality, heart rate, systolic blood pressure dispersion increase, average ingested protein amount of the patient, and the postoperative stage to which the patient belongs, and uses the follow-up time and blood ammonia normality to obtain the body recovery degree, which is used to reflect the recovery situation of the patient after TIPS surgery at each follow-up time. The body recovery degrees after the follow-up time corresponding to the minimum body recovery degree form a recovery state time series; obtain the poor prognosis degree of the patient, quantify the poor recovery situation of the patient after surgery, and use the time interval of all follow-up times and the average ingested protein amount at the current follow-up time to compensate the poor prognosis degree to obtain the recovery risk coefficient of the patient. The recovery risk coefficient of the patient is used to reflect the quality of the recovery situation of the patient from after surgery to the current follow-up time, that is, the risk of TIPS postoperative complications reflected from the physical sign data; obtain the physical sign risk coefficient of the patient, and reflect the possibility of bleeding in the patient after surgery through the systolic blood pressure dispersion increase and the heart rate increase, showing the risk of TIPS postoperative complications from the physical signs. Combine the physical sign risk coefficient and the recovery risk coefficient of the patient to obtain the complication risk manifestation degree of the patient, and use the complication risk manifestation degree of the patient to give an early warning of the postoperative complication risk in the postoperative stage to which the current follow-up time belongs; regulate the sensitivity of the complication assessment for different postoperative stages through the complication risk manifestation degree, so as to achieve the purpose of improving the accuracy of the medical staff's judgment on TIPS postoperative complications. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 This is the structural block diagram of the medical staff - patient integrated follow - up support system for preventing complications after TIPS in the present invention. Specific embodiments

[0018] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the attached drawings and preferred embodiments, details the specific embodiments, structures, features and effects of the medical staff - patient integrated follow - up support system for preventing complications after TIPS proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0020] The following specifically describes the specific solution of the medical staff - patient integrated follow - up support system for preventing complications after TIPS provided by the present invention in combination with the attached drawings.

[0021] Please refer to Figure 1 , which shows the structural block diagram of the medical staff - patient integrated follow - up support system for preventing complications after TIPS provided by an embodiment of the present invention. The system includes the following modules: Data acquisition module 101: Obtain the blood ammonia normality, heart rate, systolic blood pressure dispersion increase, average protein intake of the patient at each follow - up time, and the postoperative stage to which the patient belongs; record the last follow - up time as the current follow - up time.

[0022] It should be noted that the purpose of this embodiment is to mine a number of physical sign data of the patient, quantify the symptom manifestations in the postoperative follow - up records of the patient to obtain the complication risk manifestation degree, and then give an early warning of the follow - up results of the patient according to the complication risk manifestation degree. Among them, the complications after TIPS are mainly manifested in the changes of blood ammonia levels and bleeding in different postoperative stages. Therefore, this embodiment first collects data such as the patient's blood ammonia, heart rate, systolic blood pressure, and protein intake.

[0023] It should be noted that when quantifying the postoperative complications of TIPS in this embodiment, the quantification content mainly includes the above - mentioned patient manifestations. If other embodiments are based on the above - mentioned patient manifestations and any modifications, equivalent replacements, improvements, etc. made within the principles of this embodiment, they have the same technical effects as this embodiment.

[0024] Specifically, to construct a medical staff-patient integrated follow-up support system for preventing complications after TIPS surgery, it is necessary to construct based on the follow-up records of patients by medical staff in the hospital database. Taking any patient as an example, obtain the follow-up records of the patient at all follow-up times after the operation in the hospital database. The follow-up records include the blood ammonia concentration of the patient at each follow-up time, the heart rate at each follow-up time, the systolic blood pressure at all moments from the previous follow-up time to each follow-up time, and the estimated protein content of all foods ingested from the operation time to each follow-up time.

[0025] Furthermore, the inverse normalization value of the absolute value of the difference between the blood ammonia concentration of the patient at each follow-up time and the prior normal blood ammonia concentration is denoted as the blood ammonia normality of the patient at each follow-up time. The standard deviation of the systolic blood pressure at all moments from the previous follow-up time to each follow-up time is denoted as the systolic blood pressure dispersion of the patient at each follow-up time; the difference between the systolic blood pressure dispersion of the patient at each follow-up time and the systolic blood pressure dispersion of the previous follow-up time is denoted as the increase in systolic blood pressure dispersion of the patient at each follow-up time; among them, the increase in systolic blood pressure dispersion at the first follow-up time is denoted as 0. It should be noted that the systolic blood pressure at all the above moments is obtained by a wearable device installed on the patient's body, and the systolic blood pressure of the patient's blood is recorded once every second; as an example, in this embodiment, a wearable cuff blood pressure monitor is used to monitor the systolic blood pressure of the patient at all moments.

[0026] The mean value of the estimated protein content of all foods ingested from the operation time to each follow-up time is denoted as the average amount of ingested protein of the patient at each follow-up time.

[0027] It should be noted that when medical staff follow up on patients, due to different follow-up intervals, the time intervals between different follow-up times are different.

[0028] Furthermore, different postoperative stages are divided according to the time after the operation through the clinical guidelines of TIPS surgery, including the acute stage, the subacute stage, and the stable stage; among them, the clinical guidelines are existing norms. Since all the analysis steps in this embodiment are after TIPS surgery, in this embodiment, the operation time is used as the zero point of the follow-up time. As an example, within 24 hours after the operation is the acute stage, within 24 hours to 7 days after the operation is the subacute stage, and more than 7 days after the operation is the stable stage. Furthermore, according to the follow-up time corresponding to the above different postoperative stages, obtain the postoperative stage to which the patient belongs at each follow-up time.

[0029] So far, the blood ammonia normality, heart rate, systolic blood pressure dispersion increase, and the postoperative stage to which the patient belongs at each follow-up time are obtained, and the average amount of ingested protein at each follow-up time is obtained.

[0030] Complication risk manifestation acquisition module 102: It should be noted that there are different risk thresholds in each postoperative stage. However, when using the same static risk threshold to evaluate the risk of all follow-ups in the same postoperative stage, it is often interfered by the different recovery conditions and physical signs of the patient. Therefore, in this embodiment, the complication risk manifestation is obtained by analyzing the manifestations of the patient's TIPS postoperative complications, and then the risk threshold of the postoperative stage is adjusted and used to early warn the patient's postoperative complication risk according to the patient's complication risk value.

[0031] The specific steps for obtaining the complication risk manifestation include: using the blood ammonia normality at each follow-up time to obtain the patient's physical recovery degree at each follow-up time; using all the physical recovery degrees after the follow-up time corresponding to the minimum physical recovery degree to form a recovery state time series; using the dispersion degree of the recovery state time series and the increase ratio of the physical recovery degree therein to obtain the degree of poor prognosis of the patient; using the time interval of all follow-up times and the average amount of ingested protein at the current follow-up time to compensate the degree of poor prognosis to obtain the patient's recovery risk coefficient; using the systolic blood pressure dispersion increase at the current follow-up time and the heart rate increase at all follow-up times within the postoperative stage to which the patient belongs at the current follow-up time to obtain the patient's physical sign risk coefficient; and comprehensively obtaining the patient's complication risk manifestation by combining the patient's physical sign risk coefficient and recovery risk coefficient.

[0032] (1) Obtain the patient's physical recovery degree at each follow-up time.

[0033] It should be noted that after the TIPS surgery, the blood ammonia concentration of the patient will show an increase in a short period of time due to the change of the liver environment, and then return to the normal range after a period of time. The smaller the deviation of the blood ammonia concentration from the normal range and the larger the interval between the follow-up time and the surgery time, the better the patient's physical recovery degree can be indicated.

[0034] Preferably, the follow-up time is linearly normalized based on all follow-up times to obtain the time weight of each follow-up time, and the time weight is used to weight the blood ammonia normality at each follow-up time to obtain the patient's physical recovery degree at each follow-up time; the physical recovery degree is in a direct proportional relationship with the blood ammonia normality and the time weight of each follow-up time; The linear normalization result of the follow-up time in this embodiment is obtained by the maximum-minimum normalization algorithm, and the maximum-minimum normalization algorithm is a well-known prior art.

[0035] (2) Use all the physical recovery degrees after the follow-up time corresponding to the minimum physical recovery degree to form a time series sequence of the recovery state.

[0036] It should be noted that since the postoperative recovery conditions and complication risks of patients vary among individuals, it is necessary to obtain the follow-up time when the patients show their recovery conditions after surgery, which is used to evaluate the complication manifestations of the patients according to the changing trend of the physical recovery degree. However, after the TIPS surgery, the blood ammonia concentration of the patients will show an increase in a short period due to the change of the liver environment, resulting in a downward trend in the physical recovery degree calculated at the beginning of several follow-up times. These decreased physical recovery degrees cannot represent the recovery conditions of the patients. Therefore, in this embodiment, all follow-up times are screened according to their changing trends to obtain the time series sequence of the recovery state.

[0037] Preferably, the specific steps of using all the physical recovery degrees after the follow-up time corresponding to the minimum physical recovery degree to form a time series sequence of the recovery state include: Obtain the physical recovery degrees of the patient at all follow-up times before the current follow-up time, use the follow-up time with the minimum physical recovery degree as the start recovery time, and record the time series sequence composed of the physical recovery degrees of all follow-up times between the start recovery time and the current follow-up time as the time series sequence of the patient's recovery state; It should be noted that if there are multiple follow-up times with the same minimum value for the patient, the one with the earliest follow-up time is recorded as the start recovery time.

[0038] (3) Obtain the degree of poor prognosis of the patient.

[0039] It should be noted that during the recovery process of the patient after TIPS surgery, the blood ammonia content gradually tends to be stable. Therefore, the value of the blood ammonia normality converges with the follow-up time, showing a gradually increasing and stable performance in the time series sequence of the patient's recovery state. If the time series sequence of the patient's recovery state shows a gradually increasing, decreasing, disordered and distributed situation, the degree of poor prognosis of the patient is obtained.

[0040] Preferably, in an embodiment of the present invention, the specific method for obtaining the degree of poor prognosis of the patient is: Record the variance of all the physical recovery degrees in the time series sequence of the patient's recovery state as the degree of dispersion of the time series sequence of the patient's recovery state; Record the ratio of each physical recovery degree to the previous physical recovery degree in the time series sequence of the patient's recovery state as the increase ratio of each physical recovery degree in the time series sequence of the patient's recovery state; It should be noted that the increase ratio of the first physical recovery degree in the time series sequence of the recovery state is recorded as 1.

[0041] Obtain the degree of poor prognosis of the patient, where the degree of poor prognosis is directly proportional to both the degree of dispersion of the time series of the recovery status and the increase ratio of the physical recovery degree therein; As an example, in this embodiment, the product of the degree of dispersion of the time series of the patient's recovery status and the mean value of the increase ratios of all physical recovery degrees in the time series of the patient's recovery status is denoted as the degree of poor prognosis of the patient.

[0042] (4) Use the time intervals of all follow-up times and the average amount of protein ingested at the current follow-up time to compensate the degree of poor prognosis, and obtain the recovery risk coefficient of the patient.

[0043] Preferably, in an embodiment of the present invention, the specific steps included in this step are: Obtain the sampling interval error, where the sampling interval error is directly proportional to the time intervals between all adjacent two follow-up times; Use all sampling interval errors and the average amount of protein ingested at the current follow-up time to compensate the degree of poor prognosis, and obtain the recovery risk coefficient of the patient.

[0044] As an example, the specific method for obtaining the sampling interval error is: It should be noted that since the follow-up after TIPS surgery is carried out by medical staff on an as-needed basis for the patient, the time of adjacent follow-ups is different. Then, the longer the interval between follow-ups, the lower the comparative reference value of adjacent two follow-ups, that is, the higher the error when analyzing the condition.

[0045] Specifically, the proportional normalization value of the time interval between each follow-up time and the previous follow-up time is denoted as the interval error coefficient of each follow-up time; the mean value of the interval error coefficients of all follow-up times is denoted as the sampling interval error; It should be noted that the previous follow-up time of the first follow-up time is the surgery time, where the proportional normalization value is obtained through the maximum-minimum normalization algorithm, which is a well-known technology and will not be elaborated in this embodiment.

[0046] As an example, the specific method for using all sampling interval errors and the average amount of protein ingested at the current follow-up time to compensate the degree of poor prognosis and obtain the recovery risk coefficient of the patient is: It should be noted that after TIPS surgery, the patient needs to ingest a certain amount of energy for physical recovery, and there is protein among them. However, when protein decomposes in the intestine, a large amount of ammonia will be produced, and patients with impaired liver function are difficult to metabolize ammonia, which will further increase the blood ammonia concentration in the blood, thus causing an error in judging the risk of postoperative complications through the blood ammonia concentration. Therefore, it is necessary to compensate the degree of poor prognosis through the amount of protein already ingested before the current follow-up time to obtain the recovery risk coefficient of the patient.

[0047] Specifically, the average amount of ingested protein at the current follow-up time is combined with the sampling interval error to compensate for the degree of poor prognosis, and the recovery risk coefficient of the patient is obtained. Among them, the sampling interval error and the average amount of ingested protein at the current follow-up time have an inverse proportional compensation effect on the recovery risk coefficient of the patient; As an example of obtaining the recovery risk coefficient of the patient, the product of the sampling interval error and the average amount of ingested protein at the current follow-up time is normalized using an inverse proportional normalization function to obtain a compensation coefficient, and the product of the compensation coefficient and the degree of poor prognosis is recorded as the recovery risk coefficient of the patient. Among them, the inverse proportional normalization function in this embodiment is implemented using an exponential function with the natural constant as the base.

[0048] (5) Obtain the physical sign risk coefficient of the patient.

[0049] It should be noted that the above analyzes the disease manifestations related to after TIPS surgery. However, in addition to these manifestations after the surgery, there are also changes in physical sign data caused by the surgery. The more obvious one is postoperative bleeding. When a patient has postoperative bleeding, the systolic blood pressure will fluctuate greatly, and since the heart rate of the patient will increase after the blood pressure drops, that is, the heart rate increase change. Therefore, when the greater the heart rate increase and the greater the systolic blood pressure fluctuation of the patient, the higher the manifestation of the risk reflected from the physical sign data of the patient.

[0050] Preferably, in an embodiment of the present invention, the specific steps included in this step are: Denote the set composed of all follow-up times in the postoperative stage to which the current follow-up time belongs as the same-stage set; In the same-stage set, denote the difference between the heart rate at each follow-up time and the heart rate at the previous follow-up time as the heart rate increase at each follow-up time; Obtain the physical sign risk coefficient of the patient according to the heart rate increase and the systolic blood pressure dispersion increase at each follow-up time in the same-stage set.

[0051] As an example, the specific method of obtaining the physical sign risk coefficient of the patient according to the heart rate increase and the systolic blood pressure dispersion increase at each follow-up time in the same-stage set is: Use the clinical guidelines of TIPS surgery to obtain the prior tolerance range of the postoperative stage to which the current follow-up time belongs; Compare the systolic blood pressure dispersion increase at each follow-up time in the same-stage set with the prior tolerance range to obtain the systolic blood pressure overstep coefficient of the patient; As an example, the method of obtaining the systolic blood pressure overstep coefficient is: denote the ratio of the mean value of the systolic blood pressure dispersion increase at all follow-up times in the same-stage set to the prior tolerance range as the systolic blood pressure overstep coefficient of the patient; The mean value of the systolic blood pressure overstep coefficient and the heart rate increase at all follow-up times in the same-stage set is combined to obtain the physical sign risk coefficient of the patient; wherein, the physical sign risk coefficient of the patient is in a direct proportional relationship with both the systolic blood pressure overstep coefficient and the mean value of the heart rate increase; as an example, the result obtained by normalizing the product of the systolic blood pressure overstep coefficient and the mean value of the heart rate increase at all follow-up times in the same-stage set through a linear normalization function is denoted as the physical sign risk coefficient of the patient.

[0052] It should be noted that the value distribution of the systolic blood pressure overstep coefficient of the patient is on both sides of 1. When it is greater than 1, it indicates that the systolic blood pressure exceeds the tolerance range of the postoperative stage to which the current follow-up time belongs, and the greater the systolic blood pressure overstep coefficient of the patient, the more serious the bleeding manifestation in the physical sign data of the patient. On the contrary, when it is less than 1, it indicates that the systolic blood pressure is within the tolerance range of the postoperative stage to which the current follow-up time belongs, which is normal.

[0053] (6)The complication risk manifestation degree of the patient is obtained by combining the physical sign risk coefficient and the recovery risk coefficient of the patient.

[0054] It should be noted that in each postoperative stage after TIPS surgery, the complication risk value of the patient can be obtained by using the clinical guidelines, and the risk threshold corresponding to each stage is used for judgment, so as to realize the early warning of postoperative complication risk. And in this embodiment, the physical sign risk coefficient and the recovery risk coefficient of the patient are obtained through the above analysis, which respectively represent the physical sign state and the recovery situation of the patient after surgery. Furthermore, the complication risk degree of the patient is obtained based on the two, and the correction of the risk threshold can effectively avoid missed diagnosis and misdiagnosis caused by different physical signs and different recovery situations of the patient.

[0055] Specifically, the complication risk manifestation degree of the patient is obtained, wherein the complication risk manifestation degree of the patient is in a direct proportional relationship with both the physical sign risk coefficient and the recovery risk coefficient; as an example, the result obtained by linearly normalizing the product of the physical sign risk coefficient and the recovery risk coefficient of the patient is denoted as the complication risk manifestation degree of the patient.

[0056] Risk warning module 103: Use the complication risk manifestation degree of the patient to conduct early warning of postoperative complication risk in the postoperative stage to which the current follow-up time belongs.

[0057] It should be noted that after obtaining the complication risk manifestation degree of the patient, when the complication risk manifestation degree of the patient is greater, it indicates that the patient already has a certain complication risk in terms of the recovery situation and physical sign data. Therefore, it is necessary to adjust the risk threshold accordingly through the complication risk manifestation degree, so that the adjusted risk threshold can better conform to the actual situation of the patient.

[0058] Specifically, the prior risk threshold of the postoperative stage to which the current follow-up time belongs is obtained by using the clinical guidelines of the TIPS operation; The prior risk threshold of the postoperative stage to which the current follow-up time belongs is adjusted according to the complication risk manifestation degree of the patient to obtain the adjusted risk threshold of the postoperative stage to which the current follow-up time belongs; the adjusted risk threshold is inversely proportional to the complication risk manifestation degree. As an example, the result of subtracting 1 from the complication risk manifestation degree of the patient and multiplying it by the prior risk threshold of the postoperative stage to which the current follow-up time belongs is recorded as the adjusted risk threshold of the postoperative stage to which the current follow-up time belongs.

[0059] Furthermore, the complication risk of the patient is evaluated through the clinical guidelines of the TIPS operation to obtain the complication risk value of the patient at the current follow-up time; Early warning of the patient's complication risk is carried out according to the complication risk value and the adjusted risk threshold. As an example, the early warning method described in this embodiment is: When the complication risk value of the patient at the current follow-up time is less than or equal to the adjusted risk threshold, no warning is given to the patient; When the complication risk value of the patient at the current follow-up time is greater than the adjusted risk threshold but less than or equal to 1.5 times the adjusted risk, the patient is pushed to the nurse station for nurse monitoring; When the complication risk value of the patient at the current follow-up time is greater than 1.5 times the adjusted risk threshold, the patient is pushed to the attending physician to forcibly initiate the postoperative intervention process.

[0060] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An integrated follow-up support system for doctors, nurses and patients to prevent complications after TIPS surgery, characterized by: The system includes the following modules: The data collection module is used to obtain the patient's blood ammonia normality, heart rate, systolic blood pressure dispersion increase, average protein intake, and postoperative stage at each follow-up time; The last follow-up time was recorded as the current follow-up time; The complication risk performance degree acquisition module is used to obtain the patient's physical recovery degree at each follow-up time using the normal blood ammonia level at each follow-up time; to form a recovery state time series sequence using all physical recovery degrees after the follow-up time corresponding to the minimum physical recovery degree; to obtain the patient's poor prognosis degree using the discrete degree of the recovery state time series and the increase ratio of the physical recovery degree therein; to compensate for the poor prognosis degree using the time interval of all follow-up times and the average amount of protein ingested at the current follow-up time, and to obtain the patient's recovery risk coefficient; The patient's physical sign risk coefficient is obtained by using the increase in systolic blood pressure dispersion at the current follow-up time and the patient's heart rate increase at all follow-up times in the postoperative period to which the current follow-up time belongs; the patient's complication risk expression degree is obtained by combining the patient's physical sign risk coefficient and recovery risk coefficient; The risk warning module is used to provide early warning of postoperative complication risks by using the patient's complication risk performance during the postoperative stage of the current follow-up time.

2. The medical-nurse-patient integrated follow-up support system for preventing TIPS postoperative complications according to claim 1, characterized in that: The method for obtaining the normal blood ammonia level, heart rate, systolic blood pressure dispersion increase, average amount of protein intake and the postoperative stage of the patient at each follow-up time includes: The inversely proportional normalized value of the absolute value of the difference between the patient's blood ammonia concentration at each follow-up time and the a priori normal blood ammonia concentration was recorded as the patient's blood ammonia normality at each follow-up time; The standard deviation of the blood systolic blood pressure at all times between the previous follow-up time and each follow-up time is recorded as the patient's systolic blood pressure dispersion at each follow-up time; the difference between the patient's systolic blood pressure dispersion at each follow-up time and the systolic blood pressure dispersion at the previous follow-up time is recorded as the patient's systolic blood pressure dispersion increase at each follow-up time; The mean of the estimated protein content of all foods consumed from the time of surgery to each follow-up time was recorded as the average amount of protein consumed by the patient at each follow-up time; The time after the operation was divided into different postoperative stages, and the postoperative stage to which the patient belonged at each follow-up time was obtained.

3. The integrated medical-nursing-patient follow-up support system for preventing TIPS postoperative complications according to claim 1, characterized in that: The specific steps of obtaining the body recovery degree include: The follow-up time is linearly normalized on the basis of all follow-up times to obtain the time weight of each follow-up time, and the normal blood ammonia level at each follow-up time is weighted using the time weight to obtain the patient's physical recovery degree at each follow-up time; the physical recovery degree is positively proportional to the normal blood ammonia level and the time weight of each follow-up time.

4. The medical-nurse-patient integrated follow-up support system for preventing TIPS postoperative complications according to claim 1, characterized in that: The specific steps of obtaining the recovery state timing sequence include: The patient's physical recovery degree at all follow-up times before the current follow-up time is obtained, the follow-up time with the smallest physical recovery degree is taken as the start recovery time, and the time series consisting of the physical recovery degrees of all follow-up times between the start recovery time and the current follow-up time is recorded as the patient's recovery state time series sequence.

5. The medical-nurse-patient integrated follow-up support system for preventing TIPS postoperative complications according to claim 1, characterized in that: The specific steps of obtaining the poor prognosis degree include: The variance of all body recovery degrees in the patient's recovery state time series is recorded as the discrete degree of the patient's recovery state time series; The ratio of each body recovery degree to the previous body recovery degree in the patient's recovery state time series is recorded as the increase ratio of each body recovery degree in the patient's recovery state time series; The poor prognosis degree of the patient is obtained, and the poor prognosis degree is positively proportional to the discrete degree of the recovery state time series and the increase ratio of the body recovery degree therein.

6. The medical-nurse-patient integrated follow-up support system for preventing TIPS postoperative complications according to claim 1, characterized in that: The specific steps of obtaining the recovery risk coefficient include: Obtaining a sampling interval error, wherein the sampling interval error is in direct proportion to the time intervals between all two adjacent follow-up times; The sampling interval error and the average amount of protein consumed at the current follow-up time are combined to compensate for the poor prognosis, and the patient's recovery risk coefficient is obtained, wherein the sampling interval error and the average amount of protein consumed at the current follow-up time have an inversely proportional compensation effect on the patient's recovery risk coefficient.

7. The medical-nurse-patient integrated follow-up support system for preventing complications after TIPS surgery according to claim 6, characterized in that: The specific steps of obtaining the sampling interval error include: The normalized value of the positive proportion of the time interval between each follow-up time and the previous follow-up time is recorded as the interval error coefficient of each follow-up time; the mean of the interval error coefficients of all follow-up times is recorded as the sampling interval error.

8. The medical-nurse-patient integrated follow-up support system for preventing TIPS postoperative complications according to claim 1, characterized in that: The specific steps of obtaining the physical sign risk coefficient include: The set consisting of all follow-up times in the postoperative stage to which the current follow-up time belongs is recorded as the same-stage set; In the same stage set, the difference between the heart rate at each follow-up time and the heart rate at the previous follow-up time was recorded as the heart rate increase at each follow-up time; Obtain the prior tolerance range of the postoperative stage to which the current follow-up time belongs; Compare the systolic blood pressure dispersion increase at each follow-up time in the same stage set with the a priori tolerance range to obtain the patient's systolic blood pressure out-of-bounds coefficient; The patient's physical sign risk coefficient is obtained by combining the systolic blood pressure exceeding threshold coefficient with the average of the heart rate increase at all follow-up times in the same stage set; wherein the patient's physical sign risk coefficient is positively proportional to the systolic blood pressure exceeding threshold coefficient and the average of the heart rate increase.

9. The medical-nurse-patient integrated follow-up support system for preventing TIPS postoperative complications according to claim 8, characterized in that: The specific steps of obtaining the systolic pressure exceeding limit coefficient include: The ratio of the mean of the systolic blood pressure dispersion increase at all follow-up times in the same stage set to the prior tolerance range is recorded as the patient's systolic blood pressure out-of-bounds coefficient.

10. The medical-nurse-patient integrated follow-up support system for preventing complications after TIPS surgery according to claim 1, characterized in that: The specific steps for obtaining the complication risk expression level include: The patient's complication risk expression degree is obtained, wherein the patient's complication risk expression degree is positively proportional to the physical sign risk coefficient and the recovery risk coefficient.

Citation Information

Patent Citations

  • Cardiothoracic surgery postoperative complication assessment method and system based on data analysis

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  • Postoperative sign monitoring system based on medical information processing

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