Data processing device, system and kit for auxiliary evaluation of cardiovascular risk

文档序号：1896163 发布日期：2021-11-30 浏览：8次中文

阅读说明：本技术 一种用于辅助评估心血管风险的数据处理装置、系统及试剂盒 (Data processing device, system and kit for auxiliary evaluation of cardiovascular risk ) 是由王鲁雁孙宁玲曾哲淳王锦纹杨帆陈源源王鸿懿喜杨于 2021-09-14 设计创作，主要内容包括：本发明公开了一种用于辅助评估心血管风险的数据处理装置、系统及试剂盒。本发明用于辅助评估心血管风险的数据处理装置,包括如下模块：数据接收模块接收待测者的性别、年龄、收缩压、舒张压、心率、腹围、体重、身高；数据运算模块根据数据接收模块的数据根据公式计算得到颈动脉-股动脉脉搏波传导速度的数值；数据比较模块接收数据运算模块计算得到的数值,与数据存储模块被配置的存储判断阈值比较；最后通过判断模块根据预定判定条件对比较结果进行判定,并输出判定结果。本发明采用临床上经常测定的指标数值,通过模型计算,即能得到颈动脉-股动脉脉搏波传导速度,以判断动脉功能,待测者是否是心血管风险。(The invention discloses a data processing device, a system and a kit for auxiliary evaluation of cardiovascular risks. The invention discloses a data processing device for assisting in assessing cardiovascular risk, which comprises the following modules: the data receiving module receives the sex, age, systolic pressure, diastolic pressure, heart rate, abdominal circumference, weight and height of a person to be tested; the data operation module calculates the value of the carotid-femoral pulse wave conduction velocity according to the data of the data receiving module and a formula; the data comparison module receives the numerical value calculated by the data operation module and compares the numerical value with a storage judgment threshold value configured by the data storage module; and finally, judging the comparison result according to a preset judgment condition through a judgment module, and outputting the judgment result. The invention adopts the index value which is frequently measured clinically, and the carotid artery-femoral artery pulse wave conduction velocity can be obtained through model calculation so as to judge whether the artery function is the cardiovascular risk of a person to be measured.)

1. A data processing apparatus for assisting in assessing cardiovascular risk, comprising the following modules:

(1) a data receiving module; the data receiving module is configured to receive data of sex, age, systolic pressure, diastolic pressure, heart rate, abdominal circumference, weight and height of a person to be tested;

(B) a data operation module; the data operation module is configured to receive the data from the data receiving module and is configured to calculate a value of the carotid-femoral pulse wave conduction velocity according to the following formula I according to the values of the sex, the age, the systolic pressure, the diastolic pressure, the heart rate, the abdominal circumference, the weight and the height of the person to be detected;

formula I: cf-PWV-8.766 +0.444 Xgender +0.075 Xage +0.404 Xage group (30-44 years old) +0.074 Xage group (45-54 years old) +1.302 Xabdominal circumference/weight index ratio +0.093 Xweight index +0.046 Xsystolic blood pressure +0.012 Xdiastolic blood pressure +0.024 Xheart rate

In the formula I, cf-PWV represents the carotid-femoral pulse wave conduction velocity, and the unit is m/s; when the person to be tested represents a male, the sex value is 1; when the person to be tested represents a woman, the sex value is 0; when the age of the person to be tested is 30-44 years, the numerical value of the age group (30-44 years) is 1, and the numerical value of the age group (45-54 years) is 0; when the age of the person to be tested is 45-54 years old, the numerical value of the age group (45-54 years old) is 1, and the numerical value of the age group (30-44 years old) is 0;

body weight index (weight/height)²The unit: kilogram/meter²(ii) a The unit of age is year, systolic pressure and diastolic pressuremmHg, heart rate in units of beats/minute, abdominal circumference in units of centimeters;

(3) a data storage module; the data storage module is configured to store a decision threshold;

(4) a data comparison module; the data comparison module is configured to receive the carotid-femoral pulse wave velocity value sent by the operation module and call the judgment threshold value from the data storage module to compare with the carotid-femoral pulse wave velocity value;

(5) a judgment module; the judging module is configured to receive the comparison result sent by the data comparing module, judge the comparison result according to a preset judging condition, judge the testee meeting the preset judging condition as a cardiovascular risk patient or a candidate as a cardiovascular risk patient, judge the testee not meeting the preset judging condition as a cardiovascular risk patient or a candidate as a cardiovascular risk patient, and output the judgment result.

2. The data processing apparatus of claim 1, wherein: the predetermined determination condition is: if the carotid-femoral pulse wave velocity value is larger than or equal to the judgment threshold, the person to be tested is or is a candidate for the cardiovascular risk patient; otherwise, the subject is not, or is not a candidate for, a cardiovascular risk patient.

3. The data processing apparatus according to claim 1 or 2, characterized in that: the judgment threshold value stored in the data storage module is 12 m/s.

4. A data processing apparatus according to any one of claims 1-3, characterized in that: the data processing device further comprises a control module or a controller; the control module or the controller is used for controlling each module.

5. A cardiovascular risk auxiliary evaluation system comprises a blood pressure instrument, a flexible rule, a height and weight scale and a control device;

the control device is configured or programmed to perform the steps of:

receiving data of sex, age, systolic pressure, diastolic pressure, heart rate, abdominal circumference, weight and height of a person to be measured;

calculating the value of the carotid-femoral artery pulse wave velocity according to the following formula I according to the values of the sex, the age, the systolic pressure, the diastolic pressure, the heart rate, the abdominal circumference, the weight and the height of the person to be measured;

body weight index (weight/height)²The unit: kilogram/meter²(ii) a The unit of age is year, the unit of systolic pressure and diastolic pressure is mmHg, the unit of heart rate is sub/min, and the unit of abdominal circumference is centimeter;

comparing the carotid-femoral pulse wave velocity value with a judgment threshold value to obtain a comparison result;

and judging the comparison result according to a preset judgment condition, judging that the person to be tested meeting the preset judgment condition is or is not a cardiovascular risk patient, judging that the person to be tested not meeting the preset judgment condition is or is not a cardiovascular risk patient, and outputting the judgment result.

6. The system of claim 5, wherein: the system further comprises:

the system further comprises an input device and an output device;

the input device is configured to input the systolic pressure, the diastolic pressure, the heart rate, the abdominal circumference, the height, the weight data of the subject, which are respectively acquired by the blood pressure meter, a tape and a height and weight scale;

the output device is configured to output the determination result.

7. Method of use of the system of claim 5 or 6, comprising the steps of: obtaining data on sex, age, systolic blood pressure, diastolic blood pressure, heart rate, abdominal circumference, weight, height of the subject using (a1) - (a3) below; then executing the steps by using the control device in the system according to claim 5 or 6, and outputting the determination result;

(a1) a blood pressure monitor;

(a2) a flexible rule;

(a3) the height and the weight are weighed.

8. A computer-readable storage medium storing a computer program for performing the steps of:

receiving data of sex, age, systolic pressure, diastolic pressure, heart rate, abdominal circumference, weight and height of a person to be measured;

calculating the value of the carotid-femoral artery pulse wave conduction velocity according to the following formula I according to the values of the gender, the age, the systolic pressure, the diastolic pressure, the heart rate, the abdominal circumference, the weight and the height;

comparing the carotid-femoral pulse wave velocity value with a judgment threshold value to obtain a comparison result;

9. A kit for assisting in assessing cardiovascular risk comprising a parameter acquisition device and a readability carrier;

the parameter acquisition device comprises a device for acquiring various parameters involved in the readability carrier;

the readability carrier has the following formula I,

body weight index (weight/height)²The unit: kilogram/meter²(ii) a Age is given in units of years, systolic and diastolic blood pressure are given in units of mmHg, heart rate is given in units of counts/min, abdominal circumference is given in units of centimetersRice;

if the carotid-femoral pulse wave velocity value is larger than or equal to the judgment threshold, the person to be tested is or is a candidate for the cardiovascular risk patient; otherwise, the subject is not, or is not a candidate for, a cardiovascular risk patient.

10. The kit of claim 9, wherein: the parameter acquisition equipment comprises a blood pressure instrument, a flexible rule and a height and weight scale; and/or

The kit further comprises recording means and/or calculation means; the recording tool comprises a pen and/or a computer; the computing tool comprises a calculator and/or the computer; and/or

The readable carrier is a kit instruction; the content of formula I is printed on a card; and/or

The readable carrier is a computer readable carrier.

Technical Field

The invention relates to a data processing device, a system and a kit for auxiliary evaluation of cardiovascular risks.

Background

Cardiovascular and cerebrovascular diseases are the leading causes of death of urban and rural residents in China, and arteriosclerosis is the important pathological basis and the main risk factor of the death. The development and progression of arteriosclerotic lesions is a hidden, progressive process, functional lesions appear before angiogenic structural lesions, clinically asymptomatic, and manifest as an increase in arterial stiffness. The change of the stiffness of the artery is the main manifestation of the degeneration of the artery wall, and the blood pressure component changes along with the increase of the stiffness of the artery, so that the systolic pressure rises and the diastolic pressure falls, and the pulse pressure increases, thereby being an independent risk factor for various cardiovascular and cerebrovascular diseases and death. Aging is a major cause of the degeneration of the arterial wall, and chronic diseases such as hypertension can accelerate and aggravate the degeneration process. The method has the advantages that the propagation speed of the pulse wave of the wall of the aorta is increased due to the breakage of elastic fibers and the increase of collagen fibers in the reconstruction process of the wall of the aorta, the stiffness change of the elastic aorta can be reflected by measuring the pulse wave propagation speed of carotid artery and femoral artery, the influence of vasoactive substances in blood is small, the result repeatability is good, and the method is a gold index for evaluating the stiffness of the aorta accepted and recommended by hypertension guidelines at home and abroad at present. However, the conventional arterial elasticity measuring device is used as a medical instrument in a medical place, and is not suitable for daily detection of families or individuals due to large volume, high price and relatively complex operation, so that the conventional arterial elasticity measuring device has difficulty in long-term monitoring of chronic diseases and detection of non-disease people.

With the deep understanding of the health of the Chinese, the demand of the public on professional health, sub-health and disease assessment means is increased, and a convenient, practical and professional assessment method is provided for the Chinese, so that the method has important significance in guiding the people to correctly know the body state and the disease assessment.

As methodologies have been developed, carotid-femoral pulse wave velocity (cf-PWV) has become an internationally recognized gold indicator of arterial stiffness and has been clinically applied as a subclinical arterial injury indicator and cardiovascular risk factor. But the detection has high requirements on technicians and long time consumption, so that the popularization and the application are difficult. But it reflects early changes in vascular function and is considered an independent risk predictor of cardiovascular events. Therefore, there is a need to establish a simple model for estimating cardiovascular risk to obtain a method for determining cardiovascular risk by assessing arterial function.

Disclosure of Invention

The invention aims to provide a data processing device, a system and a kit for assisting in assessing cardiovascular risks.

The invention provides a data processing device for auxiliary evaluation of cardiovascular risks, which comprises the following modules:

(1) a data receiving module; the data receiving module is configured to receive the sex, age, systolic pressure, diastolic pressure, heart rate, abdominal circumference, weight and height of the person to be tested;

(2) a data operation module; the data operation module is configured to receive the data from the data receiving module and is configured to calculate a value of the carotid-femoral pulse wave conduction velocity according to the following formula I according to the values of the sex, the age, the systolic pressure, the diastolic pressure, the heart rate, the abdominal circumference, the weight and the height of the person to be detected;

body weight index (weight/height)²The unit: kilogram/meter²(ii) a Age in units of years; the units of systolic pressure and diastolic pressure are mmHg; heart rate in units of beats/minute; the unit of abdominal circumference is centimeter;

(3) a data storage module; the data storage module is configured to store a decision threshold;

In the above data processing apparatus, the predetermined determination condition is: if the carotid-femoral pulse wave velocity value is larger than or equal to the judgment threshold, the person to be tested is or is a candidate for the cardiovascular risk patient; otherwise, the subject is not, or is not a candidate for, a cardiovascular risk patient.

In the above data processing apparatus, the determination threshold stored in the data storage module is 12 m/s.

In the above data processing apparatus, the data processing apparatus further includes a control module or a controller; the control module or the controller is used for controlling each module.

The invention also provides a cardiovascular risk auxiliary evaluation system, which comprises a blood pressure meter, a flexible rule, a height and weight scale and a control device;

the control device is configured or programmed to perform the steps of:

receiving data of sex, age, systolic pressure, diastolic pressure, heart rate, abdominal circumference, weight and height of a person to be measured;

comparing the carotid-femoral pulse wave velocity value with a judgment threshold value to obtain a comparison result;

In the above system, the predetermined determination condition is: if the carotid-femoral pulse wave velocity value is larger than or equal to the judgment threshold, the person to be tested is or is a candidate for the cardiovascular risk patient; otherwise, the subject is not, or is not a candidate for, a cardiovascular risk patient.

The above system further includes:

the system further comprises an input device and an output device;

the output device is configured to output the determination result.

The use method of the system comprises the following steps: obtaining said gender, age, systolic blood pressure, diastolic blood pressure, heart rate, abdominal circumference, weight, height data of the subject using (a1) - (a3) as follows; then, the control device in the system is adopted to execute the steps, and a judgment result is output;

(a1) a blood pressure monitor;

(a2) a flexible rule;

(a3) the height and the weight are weighed.

The present invention also provides a computer-readable storage medium storing a computer program for performing the steps of:

receiving data of sex, age, systolic pressure, diastolic pressure, heart rate, abdominal circumference, weight and height of a person to be measured;

comparing the carotid-femoral pulse wave velocity value with a judgment threshold value to obtain a comparison result;

The invention further provides a kit for auxiliary assessment of cardiovascular risk, which comprises a parameter acquisition device and a readability carrier;

the parameter acquisition device comprises a device for acquiring various parameters involved in the readability carrier;

the readability carrier has the following formula I,

In the kit, the parameter acquisition equipment comprises a blood pressure meter, a flexible rule and a height and weight scale.

In the above kit, the kit further comprises a recording means and/or a calculating means; the recording tool comprises a pen and/or a computer.

In the above kit, the calculation means comprises a calculator and/or the computer.

In the kit, the readable carrier is a kit instruction; the contents of formula I are printed on a card.

In the kit, the readable carrier is a computer readable carrier.

The invention has the following advantages:

the invention adopts the index value which is frequently measured clinically, and the carotid artery-femoral artery pulse wave conduction velocity can be obtained through model calculation so as to judge whether the artery function is the cardiovascular risk of a person to be measured.

Detailed Description

The experimental procedures used in the following examples are all conventional procedures unless otherwise specified.

Materials, reagents and the like used in the following examples are commercially available unless otherwise specified.

Example 1

1. Study subjects: volunteers who volunteered to participate in the study were enrolled by way of recruitment or the like, with unlimited age, gender, and health. The following groups were excluded: the method comprises the following steps of firstly, the mental disease people, namely people who have serious peripheral arterial occlusive lesions and cannot complete PWV detection of right carotid artery, right upper limb artery, right iliac artery and femoral artery, and people who frequently have premature beat, atrial fibrillation and the like and cannot obtain regular sinus rhythm in the detection process refuse to sign informed consent. All enrollees had to sign informed consent before the study began.

2. Detecting the index

2.2.1 general data: collecting the sex, birth date and past medical history of the subject.

2.2.2 clinical indexes:

1) the blood pressure measuring method comprises the following steps: the panelists measured the blood pressure of the sitting position of the right upper arm after resting for at least 15 minutes, 2 times in total, with 1 minute intervals, and the average of the 2 readings was taken as the final blood pressure value. For example, 2 readings of systolic or diastolic blood pressure differ by more than 5mmHg, and are measured again and averaged over 3 readings. The measurement was performed using a mercury column sphygmomanometer.

2) The measuring method of abdominal circumference and body mass index comprises the following steps: the selected person is in the upright position, the hands naturally droop, the middle point of the connecting line of the anterior upper iliac crest and the lower edge of the 12 th rib is taken to surround the abdomen, the tape is attached to the skin without applying pressure, and the measurement is accurate to 0.1 cm. Body weight and height were measured simultaneously and Body Mass Index (BMI) was calculated.

2.2.3 vascular function index:

applications ofThe Pulse wave velocity (Pulse wave velocity) was measured by the Pulse wave velocity measuring system, and the examinee was in a quiet room and in a lying position to measure the carotid-femoral Pulse wave velocity (cf-PWV). The subjects had a rest of at least 15 minutes before the assay to avoid emotional agitation, strenuous exercise, smoking, tea and coffee.

2.2.4 model parameter calculation:

the data collected by the application includes the sex, age, blood pressure (systolic pressure, diastolic pressure), heart rate, height, weight of the subject.

Body weight index (weight/height)²The unit: kilogram/meter²。

2.3. Statistical analysis:

the software used for statistical analysis was SPSS17 statistical software. The statistical tests used for the data in 2.2 were all double-sided, and a P value less than 0.05 would be considered statistically significant for the differences tested. Description of quantitative indicators mean, standard deviation, median, minimum, maximum, lower quartile (Q1), upper quartile (Q3), classification indicators describe the number of cases and percentage of each class. Significance level of study: the level of statistical significance was 0.05, with assay potency of 95%.

3. Results

3.1 general data on subjects: the general indexes of the subjects are shown in Table 1 after the subjects are combined into 450 cases.

TABLE 1 general conditions of the subjects (mean. + -. standard deviation)

BMI: body mass index, SBP: systolic blood pressure, DBP: diastolic pressure, HR: heart rate, cf-PWV: carotid-femoral pulse wave velocity.

3.2 correlation analysis of Observation indicators with cf-PWV

The observation indexes and the artery elasticity indexes have obvious correlation, and the correlation with the sex, the age, the body mass index, the abdominal circumference, the systolic pressure, the diastolic pressure and the heart rate is obvious as shown in a table 2.

TABLE 2 correlation analysis results of cf-PWV isoarterial elasticity index and observation index

BMI: body mass index, SBP: systolic blood pressure, DBP: diastolic pressure, HR: heart rate, cf _ PWV: carotid-femoral pulse wave velocity; represents P value < 0.01

3.3 multiple regression analysis and equation establishment

The observation indexes are subjected to multiple linear regression analysis by taking cf-PWV as a dependent variable, and the results show that the regression equation established by sex, age, systolic blood pressure, heart rate and abdominal circumference/BMI is ideal in fitting condition, the R value is 0.803, the R side is 0.644, the adjusted R side is 0.640, the standard error of the predicted value of the dependent variable is 1.335, F is 133.764, and P is 0.000.

The regression equation to obtain the estimated cf-PWV is shown in equation I below:

the judgment threshold of cf-PWV was 12 m/s.

If the carotid artery-femoral artery pulse wave conduction velocity cf-PWV value is greater than or equal to the judgment threshold value of 12m/s, the person to be tested is or is a candidate for the cardiovascular risk patient; otherwise, the subject is not, or is not a candidate for, a cardiovascular risk patient.

Example 2

Detecting an object: female, age 53 years, weight 64kg, height 1.61 meters, body mass index: 24.69, abdominal circumference 85 cm, systolic pressure 120mmHg, diastolic pressure 70mmHg, heart rate 70 times/min.

Calculating according to the formula:

cf-PWV-8.766 +0.444 Xgender +0.075 Xage +0.404 Xage group (30-44 years old) +0.074 Xage group (45-54 years old) +1.302 Xabdominal circumference/weight index ratio +0.093 Xweight index +0.046 Xsystolic blood pressure +0.012 Xdiastolic blood pressure +0.024 Xheart rate

＝-8.766+0.444×0+0.075×53+0.404×0+0.074×1+1.302×85/24.69+0.093×24.69+0.046×120+0.012×70+0.024×70

＝10.10m/s

And (4) judging a result: the calculation result of 10.10m/s is less than 12m/s, which indicates that the cardiovascular risk is low.

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Data processing device, system and kit for auxiliary evaluation of cardiovascular risk

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