Achilles tendon rupture risk assessment system

By designing a risk assessment system for Achilles tendon rupture calculated based on multiple case data, the problem of strong subjectivity and failure to fully include objective examination indicators is solved, and a more accurate and objective risk assessment of Achilles tendon rupture is achieved.

CN120048486APending Publication Date: 2025-05-27THE SECOND AFFILIATED HOSPITAL OF CHONGQING MEDICAL UNIV
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Patent Information

Application Number
CN202510123494.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-24
Publication Date
2025-05-27

AI Technical Summary

Technical Problem

The existing risk assessment system for Achilles tendon rupture relies on patient self-report and is highly subjective. It fails to fully include objective examination indicators and risk factors such as chronic diseases, resulting in inaccurate assessment.

Method used

A risk assessment system for Achilles tendon rupture is designed. The system uses the calculation unit and the result output unit to calculate the pi value using the natural constant e and multiple case data (such as height, triglycerides, age, diastolic blood pressure, fasting blood sugar, total cholesterol, body mass index) to evaluate the high, medium and low risks of Achilles tendon rupture.

Benefits of technology

The system can more accurately screen people at high risk of Achilles tendon rupture in an early stage, improve the objectivity and accuracy of the assessment, and is suitable for the general population and athletes, reducing the number of Achilles tendon rupture and the medical burden.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an achilles tendon rupture risk assessment system, and belongs to the technical field of data processing systems. The achilles tendon rupture risk assessment system comprises a calculation unit and a result output unit which are sequentially connected on a data main path. A computer program is stored in the calculation unit; when the computer program is executed by the processor, a pi value calculation method is operated; the pi value is calculated according to the following formula I: # imgabs0 #, wherein e is a natural constant, and X1 is a dimensionless value of the height of the subject with cm as a dimension; x2 is a dimensionless value of the content of triglyceride with mmol / L as a dimension in the blood of the subject; x3 is a dimensionless value of the age of the subject with the age as the dimension; x4 is a dimensionless value of diastolic pressure of the subject in mmHg dimension; x5 is a dimensionless value of the content of fasting blood glucose with mmol / L as a dimension in the blood of the subject; x6 is the dimensionless value of the total cholesterol content of the blood of the subject with mmol / L as the dimension; x7 is a dimensionless numerical value of the body mass index of the subject with kg / m < 2 > as a dimension. The system and the method provided by the invention are comprehensive, effective and accurate in evaluation.
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Description

Technical Field

[0001] The present invention belongs to the technical field of data processing systems, and particularly relates to an Achilles tendon rupture risk assessment system. Background Art

[0002] The Achilles tendon is an important structure connecting the heel and calf muscles, and its main function is to assist in walking, running, and jumping. When the Achilles tendon is overstretched or torn, it will cause Achilles tendon rupture. Achilles tendon rupture refers to the tearing injury of the Achilles tendon caused by direct or indirect violence, resulting in partial or complete rupture of the Achilles tendon. The common clinical diagnostic bases for Achilles tendon rupture are as follows: The patient has a clear history of sports injury or trauma, and has typical symptoms such as heel bleeding, swelling, pain, and movement disorders. During physical examination, a positive Thompson sign or a positive O`Brien test can confirm the diagnosis; X-ray shows soft tissue calcification or thickening in the Achilles tendon area; ultrasound examination finding a rupture in the heel can confirm the diagnosis; MRI finding an Achilles tendon rupture can also confirm the diagnosis.

[0003] To prevent Achilles tendon rupture, the primary task is to evaluate the risk of Achilles tendon rupture and screen out high-risk populations of Achilles tendon rupture at an early stage, so as to guide whether high-risk populations can engage in various light and heavy physical labors, including daily activities such as grocery shopping, traveling, exercising, dancing, etc., and their original jobs. For professional athletes, it can also be used to guide the participation degree of various occupational physical exercises, so as to reduce the incidence of Achilles tendon rupture and reduce the medical burden. Some commonly used clinical scales such as the Achilles Tendon rupture score (ATRS) are used to evaluate the risk of Achilles tendon rupture in patients according to multiple indicators such as age, gender, performance during exercise and activities. Through this tool, the risk of an individual can be quantified, and then targeted preventive measures can be taken. The existing commonly used clinical Achilles tendon rupture score ATRS is mostly based on the self-report of patients, with strong subjectivity, no objective examination indicators are included, and there are large differences in the evaluation results of different doctors; risk factors for rupture caused by chronic diseases such as diabetes and hyperlipidemia are not considered.

[0004] Therefore, there is an urgent need in the art to develop an Achilles tendon rupture risk assessment system that can incorporate more risk factors, has a more comprehensive evaluation, and can evaluate the risk of Achilles tendon rupture in the general population at an early stage and screen out high-risk populations of Achilles tendon rupture at an early stage. Summary of the Invention

[0005] In order to solve the problem of the above-mentioned inability to accurately evaluate the risk of Achilles tendon rupture at an early stage in the prior art, the present invention provides an Achilles tendon rupture risk assessment system, which can relatively accurately and effectively assist various risk populations of Achilles tendon rupture in early screening and early prevention.

[0006] The technical solution of the present invention is as follows:

[0007] Achilles tendon rupture risk assessment system, which includes a computing unit and a result output unit connected in sequence on the main data path;

[0008] The computing unit stores a computer program; when the computer program is executed by a processor, it runs a method for calculating a p i value; the method for calculating the p i value is calculated by the following formula I:

[0009] Formula I:

[0010] Where:

[0011] e is the natural constant,

[0012] X1 is the dimensionless value of the height of the subject in cm;

[0013] X2 is the dimensionless value of the content of triglycerides in the subject's blood in mmol / L;

[0014] X3 is the dimensionless value of the age of the subject in years;

[0015] X4 is the dimensionless value of the diastolic blood pressure of the subject in mmHg;

[0016] X5 is the dimensionless value of the content of fasting blood glucose in the subject's blood in mmol / L;

[0017] X6 is the dimensionless value of the content of total cholesterol in the subject's blood in mmol / L;

[0018] X7 is the dimensionless value of the body mass index of the subject in kg / m 2 as the dimension.

[0019] The result output unit monitors the p input by the computing unit i ≥10 and outputs a high risk result of Achilles tendon rupture;

[0020] The result output unit monitors the p input by the computing unit i ≥5 and <10 and outputs a medium risk result of Achilles tendon rupture;

[0021] The result output unit monitors the p input by the computing unit i <5 and outputs a low risk result of Achilles tendon rupture.

[0022] The described Achilles tendon rupture risk assessment system further includes: a subject medical record preprocessing unit is also provided on the main data path; the subject medical record preprocessing unit is provided upstream of the computing unit; the subject medical record preprocessing unit converts part of the records of the subject medical record into data and outputs them to the downstream computing unit.

[0023] The medical records of the subject include: height, triglyceride, age, diastolic blood pressure, fasting blood glucose, total cholesterol, and body mass index.

[0024] The main data path is selected from: a wired data path or a wireless data path;

[0025] Preferably, the wired data path includes: a wired path, a line, and a cable;

[0026] Preferably, the wireless data path includes: a wireless network, a wifi connection, and a wireless channel.

[0027] A method for assessing the risk of Achilles tendon rupture for non-diagnostic purposes, which includes:

[0028] S1. Calculate the p i value according to the following formula I;

[0029] Formula I:

[0030] Where:

[0031] e is the natural constant,

[0032] X1 is the dimensionless value of the height of the subject in cm;

[0033] X2 is the dimensionless value of the triglyceride content in the blood of the subject in mmol / L;

[0034] X3 is the dimensionless value of the age of the subject in years;

[0035] X4 is the dimensionless value of the diastolic blood pressure of the subject in mmHg;

[0036] X5 is the dimensionless value of the fasting blood glucose content in the blood of the subject in mmol / L;

[0037] X6 is the dimensionless value of the total cholesterol content in the blood of the subject in mmol / L;

[0038] X7 is the dimensionless value of the body mass index of the subject in kg / m 2 as the dimension;

[0039] The method for assessing the risk of Achilles tendon rupture for non-diagnostic purposes further includes: S2. Assess the risk of Achilles tendon rupture according to the p i value.

[0040] The assessment of the risk of Achilles tendon rupture according to the p i value means:

[0041] p iWhen it is ≥10, it is evaluated as a high risk of Achilles tendon rupture;

[0042] p i When it is ≥5 and <10, it is evaluated as a medium risk of Achilles tendon rupture;

[0043] p i When it is <5, it is evaluated as a low risk of Achilles tendon rupture.

[0044] Before S1, it is also necessary to collect the medical records of the subjects.

[0045] The medical records of the subjects include: height, triglyceride, age, diastolic blood pressure, fasting blood glucose, total cholesterol, body mass index.

[0046] The beneficial effects of the present invention are as follows:

[0047] The present invention obtains that height, triglyceride, age, diastolic blood pressure, fasting blood glucose, total cholesterol, and body mass index are related to and have an impact on the risk of Achilles tendon rupture through the influence of the SHAP values of the medical record data of the subjects on the output of the risk calculation model of Achilles tendon rupture (Equation I) ( Figure 1 ), and constructs a risk assessment calculation formula model for Achilles tendon rupture with the above medical record data as independent variables and the risk score value p Figure 2 value as the dependent variable. Furthermore, the present invention obtains a risk assessment system for Achilles tendon rupture and a risk assessment method for non-diagnostic purposes that are not limited to athletes and are applicable to the general population. Through clinical verification of thousands of subjects, it is confirmed that the risk assessment system for Achilles tendon rupture and the risk assessment method for non-diagnostic purposes of the present invention have an accuracy rate of 67.8% for evaluating the low risk of Achilles tendon rupture in the general population, an accuracy rate of 61.5% for medium risk assessment, and an accuracy rate of 86.7% for high risk assessment. It is a set of risk assessment systems and methods for Achilles tendon rupture that can be widely promoted among the general population and are effective and accurate. i Brief Description of the Drawings

[0048] Figure 1 It is a diagram showing the distribution of the characteristic SHAP values of the medical records of the subjects provided in some embodiments of the present invention and their influence on the output of the calculation model of Equation I.

[0049] Figure 2 It is a diagram showing the analysis results of the feature importance based on the SHAP values of the medical record characteristics of the subjects provided in other embodiments of the present invention.

[0050] Figure 3 It is a bar chart showing the accuracy of the risk assessment system for Achilles tendon rupture in Experimental Example 1 of the present invention for assessing the risk of Achilles tendon rupture. Detailed Embodiments

[0051] The following further describes the content of the present invention in detail with reference to specific embodiments, experimental examples, and drawings, but does not limit the protection scope of the present invention hereby.

[0052] Group 1 of Embodiments, Achilles Tendon Rupture Risk Assessment System of the Present Invention

[0053] This group of embodiments provides an Achilles tendon rupture risk assessment system. All embodiments in this group have the following common features: The Achilles tendon rupture risk assessment system includes a calculation unit and a result output unit connected in sequence on the data main path;

[0054] The calculation unit stores a computer program; when the computer program is executed by a processor, it runs a calculation method of a p i value; the calculation method of the p i value is calculated by the following formula I:

[0055] Formula I:

[0056] Where:

[0057] e is the natural constant,

[0058] X1 is the dimensionless value of the height of the subject in cm;

[0059] X2 is the dimensionless value of the content of triglyceride in the blood of the subject in mmol / L;

[0060] X3 is the dimensionless value of the age of the subject in years;

[0061] X4 is the dimensionless value of the diastolic blood pressure of the subject in mmHg;

[0062] X5 is the dimensionless value of the content of fasting blood glucose in the blood of the subject in mmol / L;

[0063] X6 is the dimensionless value of the content of total cholesterol in the blood of the subject in mmol / L;

[0064] X7 is the dimensionless value of the body mass index of the subject in kg / m 2 as the dimension;

[0065] In a specific embodiment, the result output unit monitors the p i input by the calculation unit and outputs a high risk result of Achilles tendon rupture when p

[0066] ≥10; i The result output unit monitors the p

[0067] input by the calculation unit and outputs a medium risk result of Achilles tendon rupture when pi <Output a low-risk result of Achilles tendon rupture at <5.

[0068] In a further embodiment, the Achilles tendon rupture risk assessment system further includes: a subject medical record preprocessing unit is further provided on the data main path; the subject medical record preprocessing unit is provided upstream of the calculation unit; the subject medical record preprocessing unit converts part of the records of the subject medical record into data and outputs it to the downstream calculation unit.

[0069] In a specific embodiment, the subject medical record includes: height, triglyceride, age, diastolic blood pressure, fasting blood glucose, total cholesterol, body mass index.

[0070] In a more specific embodiment, each of the above-mentioned subject medical records has the conventional technical meanings well-known to those of ordinary skill in the clinical field, for example:

[0071] Height can be the meaning of the term "height (a term in anthropometry)" in the Baidu Encyclopedia entry.

[0072] Triglyceride can be the meaning of the term "triglyceride" in the Baidu Encyclopedia entry.

[0073] Age can be the meaning of the term "age" in the Baidu Encyclopedia entry.

[0074] Diastolic blood pressure can be the meaning of the term "diastolic blood pressure" in the Baidu Encyclopedia entry.

[0075] Fasting blood glucose can be the meaning of the term "fasting blood glucose (the plasma glucose value measured after an overnight fast)" in the Baidu Encyclopedia entry.

[0076] Total cholesterol can be the meaning of the term "total cholesterol (the sum of cholesterol contained in all lipoproteins in the blood)" in the Baidu Encyclopedia entry.

[0077] Body mass index can be the meaning of the term "body mass index" in the Baidu Encyclopedia entry.

[0078] In a more specific embodiment, the data main path is selected from: a wired data path or a wireless data path;

[0079] Preferably, the wired data path includes: a wired path, a line, a cable;

[0080] Preferably, the wireless data path includes: a wireless network, a wifi connection, a wireless channel.

[0081] The second group of embodiments, the Achilles tendon rupture risk assessment method of the present invention

[0082] This group of embodiments provides a method for assessing the risk of Achilles tendon rupture for non-diagnostic purposes. All embodiments in this group have the following common characteristics: The method for assessing the risk of Achilles tendon rupture for non-diagnostic purposes includes:

[0083] S1. Calculate the p i value according to the following formula I;

[0084] Formula I:

[0085] Where:

[0086] e is the natural constant,

[0087] X1 is the dimensionless value of the height of the subject in cm;

[0088] X2 is the dimensionless value of the content of triglycerides in the blood of the subject in mmol / L;

[0089] X3 is the dimensionless value of the age of the subject in years;

[0090] X4 is the dimensionless value of the diastolic blood pressure of the subject in mmHg;

[0091] X5 is the dimensionless value of the fasting blood glucose content in the blood of the subject in mmol / L;

[0092] X6 is the dimensionless value of the total cholesterol content in the blood of the subject in mmol / L;

[0093] X7 is the dimensionless value of the body mass index of the subject in kg / m 2 as the dimension.

[0094] In a further embodiment, the method for assessing the risk of Achilles tendon rupture for non-diagnostic purposes further includes: S2. Assess the risk of Achilles tendon rupture according to the p i value.

[0095] In a specific embodiment, the assessment of the risk of Achilles tendon rupture according to the p i value means:

[0096] p i ≥10 is evaluated as a high risk of Achilles tendon rupture;

[0097] p i ≥5 and <10 is evaluated as a medium risk of Achilles tendon rupture;

[0098] p i <5 is evaluated as a low risk of Achilles tendon rupture.

[0099] In a preferred embodiment, the medical records of the subject need to be collected before S1.

[0100] In a specific embodiment, the subject medical records include: height, triglyceride, age, diastolic blood pressure, fasting blood glucose, total cholesterol, and body mass index.

[0101] In a more specific embodiment, each of the above-mentioned subject medical records has the conventional technical meanings well-known to those of ordinary skill in the clinical field. For example:

[0102] Height can be the meaning of the term "height (a term in anthropometry)" in the Baidu Encyclopedia entry.

[0103] Triglyceride can be the meaning of the term "triglyceride" in the Baidu Encyclopedia entry.

[0104] Age can be the meaning of the term "age" in the Baidu Encyclopedia entry.

[0105] Diastolic blood pressure can be the meaning of the term "diastolic blood pressure" in the Baidu Encyclopedia entry.

[0106] Fasting blood glucose can be the meaning of the term "fasting blood glucose (the plasma glucose value measured after an overnight fast)" in the Baidu Encyclopedia entry.

[0107] Total cholesterol can be the meaning of the term "total cholesterol (the sum of cholesterol in all lipoproteins in the blood)" in the Baidu Encyclopedia entry.

[0108] Body mass index can be the meaning of the term "body mass index" in the Baidu Encyclopedia entry.

[0109] Experimental Example 1. Verification of the accuracy of the Achilles tendon rupture risk assessment system of the present invention

[0110] I. Subject selection

[0111] 1271 subjects collected from the physical examination center of the applicant's unit were selected, and their original medical records were collected, with ages ranging from 20 to 69 years old.

[0112] II. Evaluation of the Achilles tendon rupture risk of subjects using conventional clinical criteria

[0113] The Achilles tendon rupture risks of 1271 subjects were evaluated respectively using the conventional clinical criterion ATRS, and 762 low-risk subjects, 355 medium-risk subjects, and 154 high-risk subjects were obtained.

[0114] III. Statistical comparison of the classification results between the conventional clinical criterion and the Achilles tendon rupture risk assessment system of the present invention

[0115] (I) High-risk assessment: Among the 100 randomly selected subjects, 15 were high-risk subjects evaluated by the conventional clinical criterion; these 15 subjects were respectively calculated by the Achilles tendon rupture risk assessment system of the present invention for p iThere were 13 cases with a value ≥ 10, which indicates that the accuracy of the Achilles tendon rupture risk assessment system of the present invention in the assessment of high-risk populations for Achilles tendon rupture is 86.7%. For the sake of space, only partial comparison results of the assessment are shown, as shown in Table 1 below:

[0116] Table 1

[0117]

[0118] (2) Medium-risk assessment: Among the 100 randomly selected subjects, evaluated by conventional clinical criteria, there were 26 medium-risk subjects; for these 26 subjects, the p value calculated by the Achilles tendon rupture risk assessment system of the present invention was i < 10 and ≥ 5 in 16 cases, which indicates that the accuracy of the Achilles tendon rupture risk assessment system of the present invention in the assessment of medium-risk populations for Achilles tendon rupture is 61.5%. For the sake of space, only partial comparison results of the assessment are shown, as shown in Table 2 below:

[0119] Table 2

[0120]

[0121] (3) Low-risk assessment: Among the 100 randomly selected subjects, evaluated by conventional clinical criteria, there were 59 low-risk subjects; for these 59 subjects, the p value calculated by the Achilles tendon rupture risk assessment system of the present invention was i < 5 in 40 cases, which indicates that the accuracy of the Achilles tendon rupture risk assessment system of the present invention in the assessment of low-risk populations for Achilles tendon rupture is 67.8%. For the sake of space, only partial comparison results of the assessment are shown, as shown in Table 3 below:

[0122] Table 3

[0123]

[0124]

Claims

1. An Achilles tendon rupture risk assessment system, characterized in that: It includes a calculation unit and a result output unit connected in sequence on the data main path; The computing unit stores a computer program; when the computer program is executed by the processor, a p i The calculation method of value; i The value is calculated by the following formula: Formula I: in: e is a natural constant, X1 is the dimensionless value of the subject’s height in cm; X2 is the dimensionless value of the triglyceride content in the subject's blood in mmol / L; X3 is the dimensionless value of the subject’s age in years; X4 is the dimensionless value of the subject's diastolic blood pressure in mmHg; X5 is the dimensionless value of the fasting blood glucose content in the subject's blood in mmol / L; X6 is the dimensionless value of the total cholesterol content in the subject's blood in mmol / L; X7 is the subject's kg / m 2 is the dimensionless value of the body mass index.

2. The Achilles tendon rupture risk assessment system according to claim 1, characterized in that: The result output unit monitors the input p of the calculation unit i When ≥10, the high risk result of Achilles tendon rupture is output; The result output unit monitors the input p of the calculation unit i When ≥5 and <10, the medium-risk result of Achilles tendon rupture is output; The result output unit monitors the input p of the calculation unit i When <5, the result of low risk of Achilles tendon rupture is output.

3. The Achilles tendon rupture risk assessment system according to claim 1 or 2, characterized in that: Also includes: A subject medical record preprocessing unit is also provided on the data main line; the subject medical record preprocessing unit is provided upstream of the calculation unit; The subject medical record preprocessing unit converts part of the records of the subject medical record into data and outputs it to the downstream computing unit.

4. The Achilles tendon rupture risk assessment system according to claim 3, characterized in that: The subject's medical records include: height, triglycerides, age, diastolic blood pressure, fasting blood sugar, total cholesterol, and body mass index.

5. The Achilles tendon rupture risk assessment system according to claim 1 or 3, characterized in that: The data main path is selected from: a wired data path or a wireless data path; Preferably, the wired data path includes: a wired path, a line, a cable; Preferably, the wireless data path includes: a wireless network, a wifi connection, and a wireless channel.

6. A method for assessing the risk of Achilles tendon rupture for non-diagnostic purposes, characterized in that: include: S1. Calculate p according to the following formula I i value; Formula I: in: e is a natural constant, X1 is the dimensionless value of the subject’s height in cm; X2 is the dimensionless value of the triglyceride content in the subject's blood in mmol / L; X3 is the dimensionless value of the subject’s age in years; X4 is the dimensionless value of the subject's diastolic blood pressure in mmHg; X5 is the dimensionless value of the fasting blood glucose content in the subject's blood in mmol / L; X6 is the dimensionless value of the total cholesterol content in the subject's blood in mmol / L; X7 is the subject's kg / m 2 is the dimensionless value of the body mass index.

7. The non-diagnostic Achilles tendon rupture risk assessment method according to claim 6, characterized in that: Also includes: S2. According to p i The value size is used to assess the risk of Achilles tendon rupture.

8. The non-diagnostic Achilles tendon rupture risk assessment method according to claim 7, characterized in that: According to p i The value of assessing the risk of Achilles tendon rupture refers to: p i ≥10 is assessed as a high risk of Achilles tendon rupture; p i ≥5 and <10 is assessed as medium risk of Achilles tendon rupture; p i A value <5 is considered to be a low risk of Achilles tendon rupture.

9. The non-diagnostic Achilles tendon rupture risk assessment method according to any one of claims 6 to 8, characterized in that: Before S1, the medical records of the subjects need to be collected.

10. The non-diagnostic Achilles tendon rupture risk assessment method according to claim 9, characterized in that: The subject's medical records include: height, triglycerides, age, diastolic blood pressure, fasting blood sugar, total cholesterol, and body mass index.