Quantitative analysis system for urine sugar

Through the quantitative analysis system of urine sugar, a model is established and a change curve of urine sugar is drawn using patient sign data, which solves the problem of insufficient accuracy of existing urine sugar detection and achieves high-precision monitoring and treatment basis for urine sugar monitoring.

CN120267252APending Publication Date: 2025-07-08RUIJIN HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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Patent Information

Application Number
CN202410019198.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-01-05
Publication Date
2025-07-08

AI Technical Summary

Technical Problem

The existing urine sugar detection methods cannot provide a small range of judgments on urine sugar changes, resulting in insufficient treatment basis and cannot meet the accuracy requirements of daily home monitoring.

Method used

The urine sugar quantitative analysis system is adopted, including a model generation unit, a quantitative analysis unit and a curve generation unit. A patient model is established through patient sign data, the urine sugar quantitative analysis results are calculated, and the urine sugar change curve is drawn, and the accuracy is improved to about 0.2mmol/L.

Benefits of technology

It realizes high-precision urine sugar monitoring, which can accurately understand and display changes in the home environment, providing a more accurate basis for judgment for treatment.

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Abstract

The invention relates to a urine sugar quantitative analysis system and belongs to the technical field of detection systems. The quantitative analysis system for urine sugar comprises a model generation unit, a quantitative analysis unit and a curve generation unit. On the basis of establishing a patient model, a quantitative analysis result of urine sugar of a patient is calculated according to the change condition of physical sign data of the patient and the patient model, and a urine sugar change curve is generated. The urine sugar quantitative analysis result is obtained without depending on laboratory detection equipment, the urine sugar information of a patient can be expressed in a centesimal system, and the urine sugar data precision is further improved to about 0.2 mmol / L. Compared with traditional urine sugar qualitative detection, the patient can more accurately know the urine sugar state, a change curve is drawn based on high-precision urine sugar data, and the accuracy of the urine sugar quantitative analysis result is improved. The change trend of urine sugar is accurately displayed. The urine sugar quantitative analysis system can be conveniently realized through a mobile phone, a tablet computer and other mobile terminals, and is particularly suitable for daily household urine sugar monitoring by a patient by using the system provided by the invention.
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Description

Technical Field

[0001] The present invention relates to the technical field of human physiological data detection methods, in particular to the technical field of urine glucose detection, and specifically refers to a urine glucose quantitative analysis system. Background Art

[0002] Existing urine glucose detection methods usually adopt the color card color comparison (gray scale bar color comparison) method. The qualitative analysis result of urine glucose detection is obtained by comparing the color of the test paper with the color card, which is divided into negative (-), and positive. The positive is further divided into +, ++, +++ according to the amount of glucose.

[0003] Urine dry chemical examination can also be carried out in routine urine examination to qualitatively analyze the glucose in urine and obtain the urine glucose detection result, which is also represented by -, +, ++, +++.

[0004] However, during the treatment of patients for blood glucose control, the use of drugs may cause excessive excretion of urine glucose, which has an adverse effect on the treatment. Therefore, it is necessary to monitor the urine glucose of patients daily to determine whether the urine glucose is within an appropriate numerical range, and it is hoped that this can be used as a basis to evaluate the curative effect, adjust the drug use for blood glucose control treatment, and improve the treatment effect.

[0005] However, the results given by the existing urine glucose qualitative analysis cannot represent small-range urine glucose changes and cannot provide a judgment basis for corresponding treatments. Therefore, it has become an urgent problem in this field to provide a urine glucose quantitative analysis system with higher precision, which can be used for urine glucose monitoring, especially suitable for daily home monitoring. Summary of the Invention

[0006] The purpose of the present invention is to overcome the above-mentioned disadvantages in the prior art and provide a urine glucose quantitative analysis system with higher precision, without the need for professional equipment, which can be used for urine glucose monitoring, especially daily home monitoring.

[0007] In order to achieve the above purpose, the urine glucose quantitative analysis system of the present invention includes:

[0008] A model generation unit for establishing a patient model based on patient physical sign data;

[0009] A quantitative analysis unit for calculating the patient urine glucose quantitative analysis result according to the change of one or more data in the patient physical sign data and the patient model;

[0010] A curve generation unit for generating a urine glucose change curve based on the urine glucose quantitative analysis result.

[0011] The urine glucose quantitative analysis system further includes a data acquisition unit, which includes one or more of a medical structure data platform, a patient client, and an electronic detection device, and is used to periodically collect patient physical sign data.

[0012] In the urine glucose quantitative analysis system, the periodic collection of patient physical sign data specifically includes: collecting one or more of the patient's basic information, urine glucose, urine routine, heart rate, blood oxygen saturation, blood pressure, blood glucose, and blood routine data.

[0013] In the urine glucose quantitative analysis system, the model generation unit includes:

[0014] A database that stores the historical data of multiple patients, and the historical data of each patient includes the periodic physical sign data of the patient;

[0015] A model subunit that is used to establish a patient model corresponding to the patient based on the historical data. The patient model contains the patient's urine glucose information, and the patient's urine glucose information is represented in a percentage system.

[0016] In the urine glucose quantitative analysis system, the model subunit is specifically used to: establish the association between the periodic physical sign data of a patient and the patient information. The patient database includes the periodic physical sign data of several patients;

[0017] Each patient also includes diagnostic information, department information associated with the diagnostic information, and condition information;

[0018] Group all patients according to the department information and / or condition information. Each group includes the periodic physical sign data of multiple patients;

[0019] Take all the periodic physical sign data of a patient as the patient's historical data, and take the periodic physical sign data of the patients in the same group as the group historical data.

[0020] In the urine glucose quantitative analysis system, the quantitative analysis unit is used to: based on the patient's historical data, combined with the group historical data, establish a patient model corresponding to the patient. In the patient model, calculate the change value of the patient's urine glucose information in the current period using the patient's historical data and the group historical data.

[0021] In the urine glucose quantitative analysis system, the quantitative analysis unit is also used to:

[0022] Obtain at least one piece of patient physical sign data;

[0023] Generate the periodic change amount of the physical sign data based on the patient's historical data;

[0024] Based on the described patient model, a corresponding patient sub-model of the physical sign data is generated, with the periodic change amount of the physical sign data as a factor.

[0025] Using the patient sub-model and the periodic change amount, calculate the change value of the urine glucose information within the current period of the patient's urine glucose change curve.

[0026] Based on the change value of the urine glucose information and the historical data, generate a urine glucose quantitative analysis result.

[0027] In this urine glucose quantitative analysis system, the curve generation unit is used to:

[0028] According to the change value of the urine glucose information of the patient within the current period, and based on the patient's previous urine glucose information, calculate and obtain the patient's current urine glucose information.

[0029] According to the urine glucose information in the patient's historical data and the patient's current urine glucose information, draw the patient's urine glucose change curve.

[0030] In this urine glucose quantitative analysis system, when the patient's urine glucose information is represented in a percentage system, in different concentration intervals, each point represents a different concentration. In the low-concentration interval, each point represents at least 0.2 mmol / L of urine glucose concentration. The patient's previous urine glucose information is the urine glucose qualitative data obtained through urine glucose detection means, and the urine glucose qualitative data corresponds to a range in the patient's urine glucose information represented in the percentage system. The urine glucose detection means is the urine glucose qualitative data and / or urine glucose quantitative data obtained by laboratory microscopy or the urine glucose qualitative data obtained by a household device.

[0031] The present invention also provides a device for operating a urine glucose quantitative analysis system, and the device includes:

[0032] A processor that runs a program to implement the quantitative analysis unit and the curve generation unit;

[0033] A network device that is connected to the model generation unit through a network;

[0034] A display for displaying the patient's urine glucose quantitative analysis result and / or the urine glucose change curve.

[0035] The urine glucose quantitative analysis system adopting the present invention has a model generation unit, a quantitative analysis unit and a curve generation unit. First, it establishes a model based on the patient's physical sign data through the model generation unit. On this basis, the quantitative analysis unit calculates the urine glucose quantitative analysis result of the patient according to the change of one or more items of the patient's physical sign data and the patient model; the curve generation unit generates a urine glucose change curve based on the urine glucose quantitative analysis result. The acquisition of the urine glucose quantitative analysis result does not depend on laboratory testing equipment, and the urine glucose information of the patient can be represented in a percentage system. Furthermore, the accuracy of urine glucose data can be improved to about 0.2 mmol / L. Compared with the traditional urine glucose qualitative detection, the patient can understand the urine glucose status more accurately, and then draw a change curve based on the high-precision urine glucose data to accurately show the urine glucose change trend. And it can provide a more accurate and effective judgment basis for the patient's treatment and medication based on this urine glucose change trend. Moreover, the urine glucose quantitative analysis system of the present invention can be conveniently implemented through mobile terminals such as mobile phones and tablets, and is particularly suitable for patients to use the system of the present invention for daily home urine glucose monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a structural block diagram of the functional units of the urine glucose quantitative analysis system of the present invention;

[0037] Figure 2 is a step flow chart of the analysis method implemented by using the urine glucose quantitative analysis system of the present invention;

[0038] Figure 3 is a schematic flow chart of collecting data from a medical structure;

[0039] Figure 4 is a schematic flow chart of collecting data from the patient side. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] In order to more clearly understand the technical content of the present invention, the following embodiments are specifically illustrated.

[0041] Please refer to Figure 1 shown, which is a structural block diagram of the functional units of the urine glucose quantitative analysis system of the present invention.

[0042] In one embodiment, the urine glucose quantitative analysis system includes:

[0043] a model generation unit for establishing a patient model based on the patient's physical sign data;

[0044] a quantitative analysis unit for calculating the urine glucose quantitative analysis result of the patient according to the change of one or more items of the above-mentioned patient's physical sign data and the above-mentioned patient model; one or more items of the patient's physical sign data here refer to other patient's physical sign data except the patient's urine glucose information;

[0045] A curve generation unit generates a urine glucose change curve based on the urine glucose quantitative analysis result.

[0046] In a more preferred embodiment, the urine glucose quantitative analysis system further includes a data acquisition unit, which includes one or more of a medical structure data platform, a patient client, and an electronic detection device, and is used to periodically collect patient physical sign data. The specific operation of periodically collecting patient physical sign data is as follows: collecting one or more of the patient's basic information, urine glucose, urine routine, heart rate, blood oxygen saturation, blood pressure, blood glucose, and blood routine data.

[0047] In a further preferred embodiment, the model generation unit includes:

[0048] A database stores the historical data of multiple patients, and the historical data of each patient includes the periodic physical sign data of the patient;

[0049] A model subunit is used to establish a patient model corresponding to the patient based on the historical data. This patient model contains the patient's urine glucose information, and this patient urine glucose information is represented in percentage system.

[0050] The model subunit is also specifically used to: establish the association between the periodic physical sign data of a patient and the patient information. This patient database includes the periodic physical sign data of several patients;

[0051] Each patient also includes diagnosis information, department information associated with the diagnosis information, and condition information;

[0052] All patients are grouped according to the department information and / or condition information. Each group includes the periodic physical sign data of multiple patients;

[0053] The entire periodic physical sign data of a patient is used as the patient's historical data, and the periodic physical sign data of the patients within the same group is used as the group historical data.

[0054] In a more preferred embodiment, the quantitative analysis unit is used to: based on the patient's historical data, combined with the group historical data, establish a patient model corresponding to the patient. In this patient model, the change value of the patient's urine glucose information in the current period is calculated using the patient's historical data and the group historical data.

[0055] Furthermore, the quantitative analysis unit is also used to:

[0056] Obtain at least one patient physical sign data;

[0057] Generate the periodic change amount of this physical sign data according to the patient's historical data;

[0058] Based on the patient model described above, a corresponding patient sub-model for the physical sign data is generated, with the periodic change amount of the physical sign data as a factor.

[0059] Using the patient sub-model and the periodic change amount, calculate the change value of urine glucose information within the current period of the patient's urine glucose change curve.

[0060] Based on the change value of urine glucose information and the historical data, generate the urine glucose quantitative analysis result.

[0061] The curve generation unit is used to: based on the change value of urine glucose information of the patient within the current period and the previous urine glucose information of the patient, calculate and obtain the current urine glucose information of the patient.

[0062] Based on the urine glucose information in the patient's historical data and the current urine glucose information of the patient, draw the patient's urine glucose change curve.

[0063] Among them, when the patient's urine glucose information is represented in a hundred-mark system, in different concentration ranges, each point represents a different concentration. In the low-concentration range, each point represents at least 0.2 mmol / L of urine glucose concentration. The previous urine glucose information of the patient is the urine glucose qualitative data obtained through urine glucose detection means, and the urine glucose qualitative data corresponds to a range in the patient's urine glucose information represented in the hundred-mark system. The urine glucose detection means is the urine glucose qualitative data and / or urine glucose quantitative data obtained through laboratory microscopy or the urine glucose qualitative data obtained through household equipment.

[0064] The present invention also provides a device for operating the urine glucose quantitative analysis system. The device can be a user terminal such as a mobile phone, a tablet computer, a PC, etc., and at least includes:

[0065] A processor that runs a program to implement the quantitative analysis unit and the curve generation unit;

[0066] A network device that connects to the model generation unit through a network;

[0067] A display for displaying the patient's urine glucose quantitative analysis result and / or the urine glucose change curve.

[0068] In the practical application of the present invention, take the example that a patient needs long-term blood glucose medication treatment and also needs urine glucose monitoring.

[0069] The patient usually collects corresponding data through various means in daily life, including inputting gender, age, height, weight, etc. through the patient terminal, including obtaining periodic data information such as blood routine items and urine routine items through medical structure detection, and also including obtaining corresponding data information through household sphygmomanometers, blood glucose meters, urine glucose test strips, etc.

[0070] Devices such as the user's mobile phone, tablet, PC, etc., electronic detection devices such as electronic sphygmomanometers, blood glucose meters, etc., and the data platform of medical institutions obtain the above data and upload it to a dedicated server, which generates a patient data model corresponding to the patient.

[0071] The step flow chart of the analysis method implemented by the urine glucose quantitative analysis system of the present invention is as Figure 2 shown.

[0072] The process of collecting data from medical structures is as Figure 3 shown, and the process of collecting data from the patient side is as Figure 4 shown.

[0073] Before establishing the patient data model, the patient data model can be classified to obtain a reference data model corresponding to the category. For example, it can be classified according to departments, diseases, medications, etc., such as patients with blood glucose treatment medications. For example, the patient data is first grouped according to departments, divided into internal medicine, cardiology, endocrinology, etc.; then the patients in the same department group are grouped through diagnosis and treatment. For example, the patients in the endocrinology department are divided into a group of hypertension patients, etc.

[0074] Furthermore, based on the patient data model and in combination with the reference data model, the urine glucose change curve of the patient can be calculated. Specifically, all the periodic physical sign data of the patient is used as the patient's historical data, which includes the urine glucose data of each time. Then, the periodic physical sign data of the patients in the same group is used as the grouped historical data. The grouped historical data can also be divided into each subgroup historical data according to the patient's gender, age, condition, treatment course, etc. Then, based on the patient's historical data and in combination with the grouped historical data, a patient model corresponding to the patient is established, and the change value of the urine glucose information of the patient in the current cycle is calculated using the patient's historical data and the grouped historical data. For example, the preliminary change value of the patient's urine glucose data is generated according to the grouped historical data or subgroup historical data, and then the preliminary change value is optimized according to the patient's historical data. The patient's blood pressure, blood glucose, and urine routine data are used as the main optimization basis, and the patient's other historical data is used as the auxiliary optimization basis. Different data have different coefficients in the calculation formula, and then an optimized change value is generated as the change value of the urine glucose information of the patient in the current cycle. The following table is the reference table of data coefficients:

[0075]

[0076] Table 1 Reference Table of Data Coefficients

[0077] Furthermore, based on the change value of the urine glucose information of the patient in the current cycle and the patient's previous urine glucose information, the patient's current urine glucose information is calculated; the patient's current urine glucose information is represented in a percentage system, as shown in the following table:

[0078]

[0079] Table 2 Patient's current urine glucose information in percentage form

[0080] It should be noted that when optimizing and calculating the preliminary change value based on the patient's historical data, the urine glucose information in percentage form in the patient's historical data also has corresponding calculation coefficients. The following is the historical data coefficient table:

[0081]

[0082] Table 3 Historical data coefficient table

[0083] Draw a patient urine glucose change curve based on the urine glucose information in the patient's historical data and the patient's current urine glucose information described above.

[0084] Furthermore, draw a patient urine glucose change curve based on the urine glucose information in the patient's historical data and the patient's current urine glucose information described above. Taking the above table as an example,

[0085] In Table 2 above, the patient's urine glucose information is expressed in percentage form. In the range of qualitative analysis of "±" and "+", each 1 point approximately represents 0.2 - 0.4 mmol / L; in the range of qualitative analysis of "++" and "+++", each 1 point approximately represents 0.4 - 1 mmol / L; in the range of qualitative analysis of "++++", each 1 point approximately represents 1 - 2 mmol / L. Therefore, the patient urine glucose change curve drawn based on this patient's urine glucose information can reflect a urine glucose concentration change of about 0.2 mmol / L at least, and is more likely to reflect the change trend of the patient's urine glucose.

[0086] In practical applications, the urine glucose quantitative analysis method of the present invention can be widely applied to the daily urine glucose monitoring of patients, especially for monitoring the urine glucose change after taking medicine for patients undergoing drug treatment. The following gives the urine glucose change conditions of 3 patients undergoing periodic urine glucose monitoring using this method as an example:

[0087] Time Qualitative mmol / L Percentage system of the present invention Get up - 1.0 5 After breakfast + 7.8 32 After medication ++ 13.9 50 After dinner + 6.7 28

[0088] Table 4 Urine glucose change table of a 20-year-old male

[0089] Time Qualitative mmol / L Percentage system of the present invention Get up ± 2.5 10 After breakfast ++ 9.0 35 After medication ++++ 45 82 After dinner + 8 33

[0090] Table 5 Urine glucose change table of a 70-year-old male

[0091] Time Qualitative mmol / L Percentage system of the present invention Get up + 5.0 22 After breakfast + 6.0 25 After medication ++ 10.5 38 After dinner ++ 15.2 53

[0092] Table 6 Urine glucose change table of a 75-year-old female

[0093] It can be found from the above data that compared with the positive and negative qualitative judgments made by existing urine glucose detection methods, the urine glucose quantitative analysis system of the present invention can achieve urine glucose quantitative analysis. Under the same qualitative situation, it can further improve the accuracy and give more accurate urine glucose data. Moreover, this system does not rely on laboratory equipment and allows patients to perform daily monitoring at home. Furthermore, based on the results of multiple urine glucose quantitative analyses within a period, it can generate the urine glucose change curve of the patient, judge the urine glucose change rule of the patient, and then use these data as a reference for doctors' diagnosis and medication, ultimately obtaining a better treatment effect.

[0094] The urine glucose quantitative analysis system of the present invention adopts a model generation unit, a quantitative analysis unit, and a curve generation unit. First, it establishes a model based on the patient's physical sign data through the model generation unit. On this basis, the quantitative analysis unit calculates the urine glucose quantitative analysis result of the patient according to the change of the patient's physical sign data and the patient model; the curve generation unit generates the urine glucose change curve based on the urine glucose quantitative analysis result. The acquisition of this urine glucose quantitative analysis result does not depend on laboratory detection equipment, and the urine glucose information of the patient can be expressed in a percentage system. Furthermore, the accuracy of the urine glucose data can be improved to about 0.2 mmol / L. Compared with the traditional urine glucose qualitative detection, patients can more accurately understand the urine glucose status, and then draw a change curve based on the high-precision urine glucose data to accurately show the urine glucose change trend. And based on this urine glucose change trend, it can provide a more accurate and effective judgment basis for the patient's treatment and medication. Moreover, the urine glucose quantitative analysis system of the present invention can be conveniently implemented through mobile terminals such as mobile phones and tablets, and is especially suitable for patients to use the system of the present invention for daily home urine glucose monitoring.

[0095] In this specification, the present invention has been described with reference to its specific embodiments. However, it is obvious that various modifications and transformations can still be made without departing from the spirit and scope of the present invention. Therefore, the specification and the drawings should be regarded as illustrative rather than restrictive.

Claims

1. A urine glucose quantitative analysis system, characterized in that, Including: A model generation unit for establishing a patient model based on patient physical sign data; A quantitative analysis unit for calculating a patient urine sugar quantitative analysis result according to the change of one or more data in the patient physical sign data and the patient model; A curve generation unit for generating a urine sugar change curve based on the urine sugar quantitative analysis result.

2. The urine glucose quantitative analysis system according to claim 1, wherein The system further includes: A data acquisition unit including one or more of a medical structure data platform, a patient client, and an electronic detection device, for periodically acquiring patient physical sign data.

3. The urine sugar quantitative analysis system according to claim 2, wherein The periodic acquisition of patient physical sign data specifically is: acquiring one or more data of the patient's basic information, urine sugar, urine routine, heart rate, blood oxygen saturation, blood pressure, blood sugar, and blood routine.

4. The urine glucose quantitative analysis system according to claim 3, wherein The model generation unit includes: A database storing historical data of multiple patients, and the historical data of each patient includes the periodic physical sign data of the patient; A model subunit for establishing a patient model corresponding to the patient based on the historical data, the patient model includes patient urine sugar information, and the patient urine sugar information is represented in percentage system.

5. The urine glucose quantitative analysis system according to claim 4, characterized in that, The model subunit specifically is used for: establishing the association between the periodic physical sign data of a patient and the patient information, and the patient database includes the periodic physical sign data of several patients; Each patient also includes diagnosis information and department information and condition information associated with the diagnosis information; Grouping all patients according to the department information and / or condition information, and each group includes the periodic physical sign data of multiple patients; Taking all the periodic physical sign data of a patient as the patient historical data, and taking the periodic physical sign data of the patients in the same group as the group historical data.

6. The urine glucose quantitative analysis system according to claim 5, wherein, The quantitative analysis unit is used for: Based on the patient historical data, combining with the group historical data, establishing a patient model corresponding to the patient, and in the patient model, calculating the change value of the urine sugar information of the patient in the current period by using the patient historical data and the group historical data.

7. The urine glucose quantitative analysis system according to claim 6, characterized in that, The quantitative analysis unit is also used for: Obtaining at least one patient physical sign data; Generating the periodic change amount of the physical sign data according to the patient's historical data; Based on the patient model, generating a corresponding patient sub-model with the periodic change amount of the physical sign data as a factor for the physical sign data; Calculating the change value of the urine sugar information of the patient in the current period of the patient urine sugar change curve by using the patient sub-model and the periodic change amount; Generating a urine sugar quantitative analysis result based on the urine sugar information change value and the historical data.

8. The urine glucose quantitative analysis system according to claim 6, characterized in that, The curve generation unit is used for: According to the change value of the urine sugar information of the patient in the current period, calculating the current urine sugar information of the patient based on the previous urine sugar information of the patient; Drawing a patient urine sugar change curve according to the urine sugar information in the patient historical data and the current urine sugar information of the patient.

9. The urine sugar quantitative analysis system according to claim 8, wherein The patient's urine glucose information represented in a percentile system means that in different concentration ranges, each point represents a different concentration. In the low-concentration range, each point represents at least 0.2 mmol / L of urine glucose concentration. The patient's previous urine glucose information is the urine glucose qualitative data obtained through urine glucose detection means, and the urine glucose qualitative data corresponds to a range in the patient's urine glucose information represented in a percentile system. The urine glucose detection means is the urine glucose qualitative data and / or urine glucose quantitative data obtained through laboratory microscopy or the urine glucose qualitative data obtained through household equipment.

10. An apparatus for operating the urine glucose quantitative analysis system according to any one of claims 1 to 9, characterized in that, Including: A processor that runs a program to implement the quantitative analysis unit and the curve generation unit; A network device that connects to the model generation unit through a network; A display for displaying the patient's urine glucose quantitative analysis results and / or urine glucose change curve.

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