CN118830816B - Microvascular endothelial function detection method, device, electronic equipment and storage medium - Google Patents
Microvascular endothelial function detection method, device, electronic equipment and storage medium Download PDFInfo
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Abstract
The disclosure provides a microvascular endothelial function detection method, device, electronic equipment and storage medium, wherein the method comprises the steps of obtaining basic oxygen saturation, net blood oxygen saturation recovery time and blood flow perfusion index increment value of a target user, determining vascular endothelial dysfunction index according to the basic oxygen saturation, the net blood oxygen saturation recovery time and the blood flow perfusion index increment value, and determining that vascular endothelial dysfunction exists in the target user when the vascular endothelial dysfunction index is larger than an abnormality index threshold.
Description
Technical Field
The disclosure relates to the technical field of data processing, and in particular relates to a microvascular endothelial function detection method, a microvascular endothelial function detection device, electronic equipment and a storage medium.
Background
Vascular endothelial cells are single-cell layers covering the innermost wall of blood vessels, and are one of the most important metabolic and endocrine organs of the human body. The adult has about 10 12 endothelial cells, which cover the surface of the inner cavity of the blood vessel of 400-500 m 2. Endothelial cells are mechanical and biological barriers of the vessel wall and lumen of blood vessels, and in addition to maintaining the integrity of the vessel wall and smoothness of the inner surface, they also have important roles in regulating the permeability and tension of blood vessels, anti-inflammatory, antioxidant, inhibiting proliferation, maintaining coagulation, anticoagulation and fibrinolysis balance, promoting neovascularization, etc., thus having an important role in maintaining vascular homeostasis. Although vascular endothelial cells have a strong reparative capacity, under the sustained action of cardiovascular risk factors, drugs, microorganisms, immune responses and inflammation, the protective action of endothelial cells on blood vessels is weakened or vanished, called endothelial dysfunction, which is manifested by insufficient vasodilation, platelet aggregation, inflammatory cell infiltration, even thrombosis, etc. Endothelial dysfunction is closely related to the occurrence and development of various diseases such as cardiovascular and cerebrovascular diseases, kidney diseases, preeclampsia, osteoarticular diseases and the like. Especially, patients with cerebrovascular diseases have an increased risk of vascular dementia with age, and a series of diseases such as senile syndrome, which seriously affect the quality of life, occur. Vascular endothelial dysfunction is demonstrated as an independent predictor of cardiovascular and cerebrovascular events, the earliest clinically measurable indicator of atherosclerotic vascular injury. The vascular endothelial function detection can be used as a reliable index of cardiovascular and cerebrovascular dangerous layering, and has important significance for primary prevention and secondary prevention.
Peripheral arterial tone measurement (PERIPHERAL ARTERIAL Tonometry, PAT) of microvascular endothelial function is widely used in the related art. For example, the ratio of signal amplitudes before and after occlusion is automatically analyzed using EndoPAT software to derive an endothelial function assessment Index (REACTIVE HYPEREMIA Index, RHI). Judging whether the endothelial function is disordered according to the endothelial function evaluation index, wherein the higher the RHI value is, the better the endothelial function is indicated, and when RHI is less than or equal to 1.67, the endothelial function is indicated. However, the existing technology for detecting the endothelial function of the microvascular endothelial needs to use EndoPAT instruments to measure the reactive hyperemia index, and using EndoPAT instruments can make the whole detection process more time-consuming, thus resulting in lower detection efficiency. Therefore, how to improve the detection efficiency is a problem that needs to be solved currently.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the disclosure provides a microvascular endothelial function detection method, which solves the technical problems of low efficiency and high detection cost in detecting microvascular endothelial functions in the prior art.
In order to achieve the above object, the embodiment of the present disclosure provides the following technical solutions:
in a first aspect, embodiments of the present disclosure provide a microvascular endothelial function detection method, the method comprising:
Obtaining basic blood oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value of a target user;
Determining a vascular endothelial dysfunction index according to the basic blood oxygen saturation, the blood oxygen saturation net recovery time and the blood flow perfusion index increment value;
and when the vascular endothelial dysfunction index is larger than the abnormality index threshold, determining that vascular endothelial dysfunction exists in the target user.
As an optional implementation manner of the embodiment of the present disclosure, the obtaining the net recovery time of the basic blood oxygen saturation of the target user includes:
Recording the time for the target user to recover from the first blood oxygen saturation to the second blood oxygen saturation as a first time period, wherein the first blood oxygen saturation is used for representing the blood oxygen saturation of the target user when the blood flow of the brachial artery is blocked for a preset time period, and the second blood oxygen saturation is obtained based on multiplying the basic blood oxygen saturation by a preset coefficient;
recording the time from when the brachial artery blood flow of the target user is blocked to the recovery of the pulse as a second duration;
And performing difference operation on the first time length and the second time length to obtain the net recovery time of the blood oxygen saturation.
As an optional implementation manner of the embodiment of the present disclosure, the obtaining a blood flow perfusion index increasing value of the target user includes:
Acquiring a basic blood flow perfusion index and a first blood flow perfusion index of the target user, wherein the first blood flow perfusion index is the maximum blood flow perfusion index of the target user in the process that the brachial artery blood flow of the target user is blocked to recover pulse;
And determining the blood flow perfusion index increment value according to the first blood flow perfusion index and the basic blood flow perfusion index.
As an alternative implementation of the embodiment of the present disclosure, when the vascular endothelial dysfunction index is greater than the abnormality index threshold, the method further includes, before determining that the target user has vascular endothelial dysfunction:
classifying the target user group according to the attribute of the target user group;
And determining abnormality index thresholds corresponding to different target user groups according to the different target user groups.
As an optional implementation manner of the embodiment of the present disclosure, the determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net recovery time of blood oxygen saturation, and the blood flow perfusion index increment value includes:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
As an optional implementation manner of the embodiment of the present disclosure, when the age of the target user is greater than or equal to a first preset age, determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood flow perfusion index increment value includes:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
As an optional implementation manner of the embodiment of the present disclosure, when the age of the target user is greater than or equal to a second preset age and less than the first preset age, determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net recovery time of the blood oxygen saturation, and the blood perfusion index increment value includes:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In a second aspect, embodiments of the present disclosure provide a microvascular endothelial function detection device, comprising:
The acquisition module is used for acquiring basic blood oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value of the target user;
The calculation module is used for determining a vascular endothelial dysfunction index according to the basic blood oxygen saturation, the blood oxygen saturation net recovery time and the blood flow perfusion index increment value;
And the determining module is used for determining that the target user has vascular endothelial dysfunction when the vascular endothelial dysfunction index is larger than an abnormality index threshold.
As an optional implementation manner of the embodiment of the present disclosure, the obtaining module is specifically configured to:
Recording the time for the target user to recover from the first blood oxygen saturation to the second blood oxygen saturation as a first time period, wherein the first blood oxygen saturation is used for representing the blood oxygen saturation of the target user when the blood flow of the brachial artery is blocked for a preset time period, and the second blood oxygen saturation is obtained based on multiplying the basic blood oxygen saturation by a preset coefficient;
recording the time from when the brachial artery blood flow of the target user is blocked to the recovery of the pulse as a second duration;
And performing difference operation on the first time length and the second time length to obtain the net recovery time of the blood oxygen saturation.
As an optional implementation manner of the embodiment of the present disclosure, the obtaining module is specifically configured to:
Acquiring a basic blood flow perfusion index and a first blood flow perfusion index of the target user, wherein the first blood flow perfusion index is the maximum blood flow perfusion index of the target user in the process that the brachial artery blood flow of the target user is blocked to recover pulse;
And determining the blood flow perfusion index increment value according to the first blood flow perfusion index and the basic blood flow perfusion index.
As an alternative implementation of the disclosed embodiment, the apparatus further includes:
The classification module is used for classifying the target user groups according to the attributes of the target user groups;
The threshold value determining module is used for determining abnormal index thresholds corresponding to different target user groups aiming at different target user groups.
As an optional implementation manner of the embodiment of the disclosure, the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
As an optional implementation manner of the embodiment of the present disclosure, when the age of the target user is greater than or equal to a first preset age, the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
As an optional implementation manner of the embodiment of the present disclosure, when the age of the target user is greater than or equal to a second preset age and less than the first preset age, the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including a memory and a processor, where the memory stores a computer program, and the processor implements the method for detecting a microvascular endothelial function according to the first aspect or any embodiment of the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present disclosure provides a computer readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for detecting a microvascular endothelial function according to the first aspect or any embodiment of the first aspect.
According to the microvascular endothelial function detection method, basic blood oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value of a target user are obtained, vascular endothelial dysfunction index is determined according to the basic blood oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value, and when the vascular endothelial dysfunction index is larger than an abnormality index threshold, the vascular endothelial dysfunction of the target user is determined. Therefore, according to the embodiment of the disclosure, after the inspection information of the target user is obtained, namely, the basic blood oxygen saturation, the net recovery time of the blood oxygen saturation and the blood flow perfusion index increment value are obtained, whether the target user has vascular endothelial dysfunction or not is automatically determined by a computer through the inspection information, a EndoPAT instrument is not needed, and the detection efficiency is improved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments of the present disclosure or the solutions in the prior art, the drawings that are required for the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a flow chart of a method for detecting endothelial function of microvasculature according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a microvascular endothelial function detecting device according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, a further description of aspects of the present disclosure will be provided below. It should be noted that, without conflict, the embodiments of the present disclosure and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced otherwise than as described herein, and it is apparent that the embodiments in the specification are only some, rather than all, of the embodiments of the present disclosure.
Relational terms such as first and second, and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions in the present disclosure and claims.
In the presently disclosed embodiments, the words "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in the examples of this disclosure should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion. Furthermore, in the description of the embodiments of the present disclosure, unless otherwise indicated, the meaning of "a plurality" means two or more.
Term interpretation:
EndoPAT A device for detecting the microcirculation noninvasive endothelial function by adopting PAT peripheral arterial tension signal technology.
RHI (REACTIVE HYPEREMIA index) peripheral arterial reactive hyperemia index RHI reflects endothelial cell mediated diastolic effect during microvascular endothelial function assays using EndoPAT. If RHI is less than or equal to 1.67, this indicates endothelial dysfunction.
Blood oxygen saturation refers to the ratio of oxygen to hemoglobin in the blood, usually expressed as a percentage.
PI (Perfusion Index) blood flow perfusion index refers to the ratio of blood flow in skin tissue to the volume of skin tissue. The higher the PI value, the greater the blood flow in the skin tissue, and the more abundant the blood supply.
In the prior art, endoPAT software is adopted to automatically analyze the ratio of the signal amplitudes before and after occlusion to obtain an endothelial function assessment Index (REACTIVE HYPEREMIA Index, RHI). Peripheral arterial tone measurement the extent of microvascular reactive hyperemia was reflected by the change in fingertip tone before and after blocking brachial artery blood flow measured by baroreceptor of the finger probe, endoPAT quantified the endothelial-mediated change in vascular tone, and this change information was obtained by 5 minutes of brachial artery transient occlusion (using a standard blood pressure cuff). When the cuff is released, the blood flow impact causes an endothelial dependent relaxation. This distension manifests itself as reactive congestion, which can be captured by EndoPAT, manifesting as an increase in PAT signal amplitude. The ratio of the signal amplitudes before and after occlusion was automatically analyzed using EndoPAT software to obtain an endothelial function assessment Index (REACTIVE HYPEREMIA Index, RHI). EndoPAT the operation is specifically that the EndoPAT system is opened and preheated for at least 20 minutes at room temperature of 21-24 ℃. The patient lies on his or her back or sitting position for 15 minutes, the cardiovascular system is allowed to recover to steady state and adjust to room temperature, a EndoPAT sensor is nested in the front end of the index finger of both hands, one side of which detects endothelial function, and the other side monitors systemic vascular changes as a control. The standard cuff is tied to the brachial artery of the arm on the same side of the endothelial function for testing at the position of 2cm, at the moment, congestion is avoided, baseline tension data are firstly collected for 5min, then the cuff is inflated to block blood flow of the brachial artery for 5min and collect data, finally the cuff is rapidly deflated, the endothelial dependent vasodilation is caused by the shearing force of the blood flow on the wall of the vessel, and simultaneously a tension signal (expressed as PAT signal amplitude enhancement) increased in the process is collected. And finally, calculating the amplitude ratio of the signals before and after blocking by using computer EndoPAT software, and correcting the detection result according to the comparison data at the other side to obtain the RHI. The whole detection process takes 15min. The higher the RHI value, the better the endothelial function is suggested, and when RHI is less than or equal to 1.67, endothelial dysfunction is suggested. However, the EndoPAT instrument adopted by the existing technology for detecting the endothelial function of the microvasculature is high in cost, requires additional consumable materials, cannot be carried in a portable manner, and is more time-consuming in the whole detection process, so that the detection efficiency is lower. Therefore, how to improve the detection efficiency and reduce the detection cost is a problem to be solved currently.
In view of the above problems, an embodiment of the present disclosure provides a microvascular endothelial function detection method, in which a basic blood oxygen saturation, a net blood oxygen saturation recovery time, and a blood flow perfusion index increment value of a target user are obtained, a vascular endothelial dysfunction index is determined according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood flow perfusion index increment value, and when the vascular endothelial dysfunction index is greater than an abnormality index threshold, it is determined that the target user has vascular endothelial dysfunction. Therefore, according to the embodiment of the disclosure, after the inspection information of the target user is obtained, namely, the basic blood oxygen saturation, the net recovery time of the blood oxygen saturation and the blood flow perfusion index increment value are obtained, whether the target user has vascular endothelial dysfunction or not is automatically determined by a computer through the inspection information, the time consumption of the whole inspection process is more due to the fact that the EndoPAT instrument is adopted, so that the inspection efficiency is improved, and meanwhile, the inspection cost can be reduced because the whole inspection process does not use an expensive EndoPAT instrument to measure the reactive congestion index.
In one embodiment, as shown in fig. 1, a method for detecting the endothelial function of a microvascular is provided, comprising the following steps S11-S13:
S11, acquiring basic blood oxygen saturation of the target user, net recovery time of the blood oxygen saturation and blood flow perfusion index increment value.
Wherein, the basic blood oxygen saturation means that a target user takes a sitting position in a fasting state, one side arm is naturally relaxed and is horizontally placed on a table top, a sphygmomanometer cuff is tied 2-3cm above an elbow fossa of an upper arm on the same side, the palm center is downward, the hand and the wrist are kept still in the whole detection process, and an oxyhemoglobin meter is used for measuring the blood oxygen saturation obtained by the fingers on the same side). Under normal conditions, the reference value of the blood oxygen saturation of arterial blood is 95% -100%. If arterial blood flow is blocked, blood oxygen saturation gradually decreases as the tissue consumes oxygen.
The net recovery time of blood oxygen saturation refers to the time required for blood oxygen saturation to recover to normal levels after a period of hypoxia.
The blood Perfusion Index (PI) is a value measured by a pulse oximeter and reflects the ratio of pulsatile to non-pulsatile blood flow in peripheral tissues, i.e., the Perfusion capacity of arterial blood flow. Normally, the PI value is typically between 4 and 5. The PI value is influenced by various factors including a measuring method, a measuring part, an ambient temperature and the like. The blood flow perfusion index increment value can be calculated by the blood flow perfusion index. Similarly, the target user takes the sitting position in the fasting state, one side arm naturally relaxes and is horizontally placed on the desktop, the sphygmomanometer cuff is bound 2-3cm above the elbow fossa of the upper arm on the same side, the palm center is downward, the hand and the wrist are kept still in the whole detection process, and the blood perfusion index can be obtained by measuring the fingers on the same side by using the finger oximeter.
The blood Perfusion Index (PI) is measured by a pulse oximetry monitoring device to obtain the blood Perfusion Index (PI). PI is obtained from pulse oximetry) The value obtained from the reading, which reflects the pulse intensity at the sensor site, is an indicator of the blood flow at the monitoring site, and can help assess the circulatory efficiency of the body. The calculation formula for PI is pi= (PS/NS) ×100, where PS represents a ripple signal (AC) and NS represents a non-ripple signal (DC).
In some embodiments, the step S11 (obtaining the net recovery time of blood oxygen saturation) may be implemented as follows:
(1) And recording the time for the blood oxygen saturation of the target user to recover from the first blood oxygen saturation to the second blood oxygen saturation as a first duration.
The first blood oxygen saturation is used for representing the blood oxygen saturation of the target user when the brachial artery blood flow is blocked for a preset time period, and the second blood oxygen saturation is obtained by multiplying the basic blood oxygen saturation by a preset coefficient.
Wherein, the preset coefficient can be 95%.
(2) Recording the time from when the brachial artery blood flow of the target user is blocked to the recovery of the pulse as a second duration.
Specifically, the complete interruption of the brachial artery blood flow is determined by rapid inflation of the cuff to a pressure of 60mmHg above the systolic pressure or disappearance of the blood oxygen saturation reading, and after the complete interruption of the brachial artery blood flow, for 5 minutes, the cuff is deflated, and the pulse time (i.e., the second duration) detected by the oximeter is recorded,Recovery to 95% of time (i.e. first time), PI maximum. When the brachial artery blood flow is completely blocked, the blood oxygen saturation in this region will theoretically drop significantly, because the blocking will interrupt the blood flow to this region, resulting in insufficient oxygen being available to the tissue in this region. However, the specific value of blood oxygen saturation can be affected by a number of factors, including the length of time that the block is made, the health of the individual, whether there are other circulatory pathways, etc.
(3) And performing difference operation on the first time length and the second time length to obtain the net recovery time of the blood oxygen saturation.
Specifically, the net blood oxygen saturation recovery time is used to represent the difference between the time when the blood oxygen saturation of the target user is recovered from the first blood oxygen saturation to the second blood oxygen saturation and the time when the target user detects a pulse after the brachial artery blood flow is blocked for a preset period of time. And calculating to obtain the blood oxygen saturation net recovery time by the formula of the blood oxygen saturation net recovery time t= (first duration-second duration).
In some embodiments, the step S11 (obtaining the blood flow perfusion index increase value) may be implemented as follows:
a. and acquiring a basic blood flow perfusion index and a first blood flow perfusion index of the target user.
Wherein the first blood flow perfusion index is the maximum blood flow perfusion index in the process that the brachial artery blood flow of the target user is blocked to recover the pulse.
B. And determining the blood flow perfusion index increment value according to the first blood flow perfusion index and the basic blood flow perfusion index.
By the formulaAnd calculating to obtain the blood flow perfusion index increment value. Wherein, Indicating the blood flow perfusion index increment value.
S12, determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the blood oxygen saturation net recovery time and the blood flow perfusion index increment value.
In some embodiments, the vascular endothelial dysfunction index may be calculated according to the following formula,;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
Specifically, the pre-experiments were incorporated into a number of patients, which were randomly selected from the entire population and were not screened for a particular population. That is, when the target user does not belong to a certain group of specific people, the vascular endothelial dysfunction index can be calculated according to the above formula. Based on EndoPAT the reactive hyperemia index (REACTIVE HYPEREMIA index, RHI) was measured using RHI.ltoreq.1.67 as the gold standard for vascular endothelial dysfunction by multifactor Logistic regression using、、Endothelial dysfunction is predicted in combination, and vascular endothelial dysfunction index (Endothelial dysfunction score, ED score) is calculated based on Logistic regression results.
Illustratively, pre-experiments were included in 98 patients with an average age of 60 years and a male proportion of 47.2%. EDscore are non-normal distributions with median and quartile spacing of-0.24 (-0.57, 0.27), EDscore min of-1.87, and EDscore max of 2.78. Vascular endothelial dysfunction was predicted by calculation EDscore, the area under the ROC curve (Area Under the Curve, AUC) was 0.7, and the optimal cut-off was-0.38. EDscore > -0.38 suggested endothelial dysfunction, and the sensitivity of endothelial dysfunction was judged to be 82.6% and the specificity was judged to be 61.5%.
In some embodiments, when the age of the target user is equal to or greater than the first preset age, the step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the disclosed embodiment, exemplified by the first preset age of 60 years, the pre-trial was carried into 98 patients, 52 persons in the elderly over 60 years old, using multifactor Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of 0.120 (-0.474, 0.623), EDscore min of-1.43, EDscore max of 3.02, prediction of endothelial dysfunction by EDscore, AUC=0.716, optimal cut-off of-0.029, determination of endothelial dysfunction sensitivity of 77.8%, specificity of 68%.
In some embodiments, when the age of the target user is greater than or equal to a second preset age and less than the first preset age, the above step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, the blood perfusion index increment value) may be implemented by:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the disclosed embodiment, illustrated with a first preset age of 60 years and a second preset age of 45 years, the pre-trial was included in 98 patients, 38 of whom aged between 45 and 60 years were regressed by multifactor Logistic regression, using、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of-0.885 (-1.360, -0.447), EDscore minimum of-2.38, EDscore maximum of 2.03, predicted endothelial dysfunction by EDscore, auc=0.705, optimal cut-off of-0.735, judged sensitivity of endothelial dysfunction as 66.7%, specificity as 73.1%.
In some embodiments, when the target user is a male, the above step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, the blood flow perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the examples of the present disclosure, pre-experiments were included in 98 patients, in which the number of males was 63, using multi-factor Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of-0.386 (-0.877, 0.020), EDscore min of-2.18, EDscore max of 3.79, predicted endothelial dysfunction by EDscore, auc=0.728, optimal cut-off of-0.495, judged sensitivity of endothelial dysfunction 85.2%, specificity of 61.1%.
In some embodiments, when the target user is female, the above step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood flow perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the disclosed embodiment, the pre-experiment was included in 98 patients, 35 women, using multi-factor Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of 0.322 (-0.207,0.636), EDscore min of-2.69, EDscore max of 1.43, prediction of endothelial dysfunction by EDscore, AUC= 0.628, optimal cut-off of-0.090, judging sensitivity of endothelial dysfunction as 89.5%, specificity as 50.0%.
In some embodiments, when the target user is a hypertensive patient, the step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood flow perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the examples of the present disclosure, pre-experiments were included in 98 patients, in which the number of patients suffering from hypertension was 63, using multifactor Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of-0.464 (-0.959,0.232), EDscore minimum of-2.00, EDscore maximum of 3.08, prediction of endothelial dysfunction by EDscore, AUC=0.736, optimal cut-off of-0.282, judging sensitivity of endothelial dysfunction as 69.2%, specificity as 81.1%.
In some embodiments, when the target user is a non-hypertensive patient, the step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood flow perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the examples of the present disclosure, pre-experiments were included in 98 patients, in which the number of persons not suffering from hypertension was 35, using multiple Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of 0.259 (-0.147,0.871), EDscore min of-1.31, EDscore max of 2.62, prediction of endothelial dysfunction by EDscore, AUC=0.707, optimal cut-off of 0.186, sensitivity of endothelial dysfunction of 75.0% and specificity of 60.0%.
In some embodiments, when the target user is a diabetic patient, the above step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood flow perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the examples of the present disclosure, pre-experiments were included in 98 patients, 35 people with diabetes, using multifactor Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of-0.058 (-0.553,0.102), EDscore minimum of-1.41, EDscore maximum of 1.71, prediction of endothelial dysfunction by EDscore, auc=0.661, optimal cut-off of 0.138, judging sensitivity of endothelial dysfunction to 75.0%, specificity to 57.9%.
In some embodiments, when the target user is a non-diabetic patient, the above step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, the blood flow perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the examples of the present disclosure, pre-experiments were included in 98 patients, in which the number of persons not suffering from diabetes was 63, using multiple Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of-0.324 (-0.634,0.448), EDscore minimum of-2.03, EDscore maximum of 2.94, prediction of endothelial dysfunction by EDscore, AUC=0.776, optimal cut-off of-0.475, judging sensitivity of endothelial dysfunction as 90.0%, specificity as 69.7%.
In some embodiments, when the target user is a smoking population, the step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood flow perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the disclosed embodiment, the pre-experiment was included in 98 patients, in which the number of smokers was 41, using multi-factor Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of-0.253 (-0.734,0.057), EDscore min of-1.96, EDscore maximum of 2.41, prediction of endothelial dysfunction by EDscore, AUC=0.684, optimal cut-off of-0.135, judgment of endothelial dysfunction sensitivity of 55.6% and specificity of 78.3%.
In some embodiments, when the target user is a non-smoking population, the step S12 (determining the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time, and the blood flow perfusion index increment value) may be implemented as follows:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
In the disclosed embodiments, pre-experiments were included in 98 patients, wherein the number of non-smoking persons was 57, using multi-factor Logistic regression、、And jointly predicting endothelial dysfunction, and calculating according to a Logistic regression result. EDscore non-normal distribution, median and quartile spacing of-0.123 (-0.602,0.555), EDscore minimum of-2.02, EDscore maximum of 2.41, prediction of endothelial dysfunction by EDscore, AUC= 0.724, optimal cut-off of-0.350, judging sensitivity of endothelial dysfunction as 89.3%, specificity as 62.1%.
In some embodiments, before performing the above step S13 (when the vascular endothelial dysfunction index is greater than the abnormality index threshold, it is determined that the target user has vascular endothelial dysfunction), the following steps may be further performed:
classifying the target user group according to the attribute of the target user group;
And determining abnormality index thresholds corresponding to different target user groups according to the different target user groups.
The attribute of the target user group may be gender, age, whether the target user group suffers from a chronic disease, etc.
Specifically, the important clinical feature values of the patient are converted into risk scores by a Logistic regression analysis method, so that the risk probability of a certain disease condition is determined according to the scores. The multi-factor Logistic regression model is model evaluated based on the ROC curve (receiver operating characteristics curve, receiver operating characteristics), the ROC curve is drawn, and the optimal cut-off value (in the embodiment of the present disclosure, the optimal cut-off value is the abnormality index threshold) is determined. The closer the AUC (Area Under the Curve, which is the Area enclosed by the coordinate axis Under the ROC Curve) is to 1.0, the higher the authenticity of the detection method is. The closer the ROC curve is to the upper left corner, the higher the accuracy of the model. The point on the ROC curve closest to the upper left corner is the best threshold with the least classification errors, with the least total number of false positive and false negative cases. By plotting the ROC curve, a point can be found that corresponds to the maximum sum of sensitivity and specificity, which is generally considered to be the optimal cut-off value. The balance of sensitivity (true positive rate) and specificity (true negative rate) is measured by calculating the about Index (you Index), i.e. by summing the sensitivity and specificity of the test and subtracting 1 from the sum, the point where the about Index is the maximum being the optimal cut-off. The determination of the optimal cut-off value can correctly identify the positive result to the greatest extent, and meanwhile, the negative result is prevented from being misjudged as positive.
Illustratively, the false positive rate (i.e., 1-specificity in the presently disclosed embodiment) and the true positive rate (i.e., sensitivity in the presently disclosed embodiment) of each threshold tangent point in the Logistic regression model are plotted in one vector diagram, i.e., the ROC curve for the particular model can be obtained. That is, at each selected threshold tangent point, a false positive rate and a true positive rate may be calculated and then plotted in a vector diagram.
And S13, when the vascular endothelial dysfunction index is larger than an abnormality index threshold, determining that vascular endothelial dysfunction exists in the target user.
Specifically, for different target user groups, determining the abnormality index threshold corresponding to the different target user groups, so as to determine whether the target user has vascular endothelial dysfunction according to the abnormality index threshold corresponding to the different target user groups.
Illustratively, when the target population is not explicitly classified, the abnormality index threshold for the patient is calculated according to the formula, and endothelial dysfunction is indicated if abnormality index threshold EDscore > to 0.38. When the target user is a hypertensive patient, an abnormality index threshold of the patient is calculated according to a formula, and endothelial dysfunction is prompted if the abnormality index threshold EDscore-0 282.
According to the microvascular endothelial function detection method, basic blood oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value of a target user are obtained, vascular endothelial dysfunction index is determined according to the basic blood oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value, and when the vascular endothelial dysfunction index is larger than an abnormality index threshold, the vascular endothelial dysfunction of the target user is determined. Therefore, according to the embodiment of the disclosure, after the inspection information of the target user is obtained, namely, the basic blood oxygen saturation, the net recovery time of the blood oxygen saturation and the blood flow perfusion index increment value are obtained, whether the target user has vascular endothelial dysfunction or not is automatically determined through the inspection information, so that the inspection efficiency is improved, and meanwhile, as the steps of the whole flow are executed by a computer, an expensive EndoPAT instrument is not needed, so that the inspection cost can be reduced.
In one embodiment, as shown in fig. 2, there is provided a microvascular endothelial function detection device 200 comprising:
An obtaining module 210, configured to obtain a basic blood oxygen saturation, a net recovery time of blood oxygen saturation, and a blood flow perfusion index increment value of the target user;
A calculation module 220, configured to determine a vascular endothelial dysfunction index according to the basic oxygen saturation, the net recovery time of oxygen saturation, and the blood flow perfusion index increment value;
A determining module 230, configured to determine that the target user has vascular endothelial dysfunction when the vascular endothelial dysfunction index is greater than an abnormality index threshold.
As an optional implementation manner of the embodiment of the present disclosure, the obtaining module is specifically configured to:
Recording the time for the target user to recover from the first blood oxygen saturation to the second blood oxygen saturation as a first time period, wherein the first blood oxygen saturation is used for representing the blood oxygen saturation of the target user when the blood flow of the brachial artery is blocked for a preset time period, and the second blood oxygen saturation is obtained based on multiplying the basic blood oxygen saturation by a preset coefficient;
recording the time from when the brachial artery blood flow of the target user is blocked to the recovery of the pulse as a second duration;
And performing difference operation on the first time length and the second time length to obtain the net recovery time of the blood oxygen saturation.
As an optional implementation manner of the embodiment of the present disclosure, the obtaining module is specifically configured to:
Acquiring a basic blood flow perfusion index and a first blood flow perfusion index of the target user, wherein the first blood flow perfusion index is the maximum blood flow perfusion index of the target user in the process that the brachial artery blood flow of the target user is blocked to recover pulse;
And determining the blood flow perfusion index increment value according to the first blood flow perfusion index and the basic blood flow perfusion index.
As an alternative implementation of the disclosed embodiment, the apparatus further includes:
The classification module is used for classifying the target user groups according to the attributes of the target user groups;
The threshold value determining module is used for determining abnormal index thresholds corresponding to different target user groups aiming at different target user groups.
As an optional implementation manner of the embodiment of the disclosure, the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
As an optional implementation manner of the embodiment of the present disclosure, when the age of the target user is greater than or equal to a first preset age, the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
As an optional implementation manner of the embodiment of the present disclosure, when the age of the target user is greater than or equal to a second preset age and less than the first preset age, the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
The micro-vascular endothelial function detection device obtains basic oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value of a target user, determines vascular endothelial dysfunction index according to the basic oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value, and determines that the target user has vascular endothelial dysfunction when the vascular endothelial dysfunction index is greater than an abnormality index threshold. Therefore, according to the embodiment of the disclosure, after the inspection information of the target user is obtained, namely, the basic blood oxygen saturation, the net recovery time of the blood oxygen saturation and the blood flow perfusion index increment value are obtained, whether the target user has vascular endothelial dysfunction or not is automatically determined by a computer through the inspection information, a EndoPAT instrument is not needed, and the detection efficiency is improved.
For specific limitations of the microvascular endothelial function detection device, reference may be made to the limitations of the microvascular endothelial function detection method hereinabove, and no further description is given herein. The above-mentioned respective modules in the microvascular endothelial function detecting device may be realized entirely or partially by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be stored in software in a processor of the electronic device, so that the processor may call and execute operations corresponding to the above modules.
The embodiment of the disclosure also provides an electronic device, and fig. 3 is a schematic structural diagram of the electronic device provided by the embodiment of the disclosure. As shown in fig. 3, the electronic device provided in this embodiment includes a memory 31 and a processor 32, where the memory 31 is configured to store a computer program, and the processor 32 is configured to execute the steps executed by any one of the methods for detecting a microvascular endothelial function provided in the foregoing method embodiments when the computer program is called. The electronic device comprises a processor, a memory, a communication interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The computer program is executed by a processor to implement a microvascular endothelial function detection method. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, the input device of the electronic equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of a portion of the architecture associated with the disclosed aspects and is not limiting of the computer device to which the disclosed aspects apply, and that a particular electronic device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, the battery drain monitoring system provided by the present disclosure may be implemented in the form of a computer program that may run on an electronic device as shown in fig. 3. The memory of the electronic device may store therein various program modules constituting the microvascular endothelial function detecting means of the electronic device, such as the acquisition module 210, the calculation module 220, and the determination module 230 shown in fig. 2. The computer program constituted by the respective program modules causes the processor to execute the steps in the microvascular endothelial function detection method of the electronic device of the respective embodiments of the present disclosure described in the present specification.
The embodiment of the disclosure also provides a computer readable storage medium, and a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the method for detecting the micro vascular endothelial function provided by the embodiment of the method is realized.
It will be appreciated by those skilled in the art that embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein.
The processor may be a central decision unit (CentralProcessingUnit, CPU), but may also be other general purpose processors, digital signal processors (DigitalSignalProcessor, DSP), application SPECIFIC INTEGRATED Circuits (ASICs), off-the-shelf Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include non-volatile memory in a computer-readable medium, random Access Memory (RAM) and/or non-volatile memory, etc., such as read-only memory (ROM) or flash memory (flashRAM). Memory is an example of a computer-readable medium.
Computer readable media include both non-transitory and non-transitory, removable and non-removable storage media. Storage media may embody any method or technology for storage of information, which may be computer readable instructions, data structures, program modules, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transitorymedia), such as modulated data signals and carrier waves.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely a specific embodiment of the disclosure to enable one skilled in the art to understand or practice the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown and described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. A method for detecting microvascular endothelial function, the method comprising:
Obtaining basic blood oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value of a target user;
Determining a vascular endothelial dysfunction index according to the basic blood oxygen saturation, the blood oxygen saturation net recovery time and the blood flow perfusion index increment value;
When the vascular endothelial dysfunction index is greater than an abnormality index threshold, determining that the vascular endothelial dysfunction exists in the target user;
Wherein, the obtaining the net recovery time of the blood oxygen saturation of the target user comprises:
Recording the time for the target user to recover from the first blood oxygen saturation to the second blood oxygen saturation as a first time period, wherein the first blood oxygen saturation is used for representing the blood oxygen saturation of the target user when the blood flow of the brachial artery is blocked for a preset time period, and the second blood oxygen saturation is obtained based on multiplying the basic blood oxygen saturation by a preset coefficient;
recording the time from when the brachial artery blood flow of the target user is blocked to the recovery of the pulse as a second duration;
Performing difference operation on the first time length and the second time length to obtain the net recovery time of the blood oxygen saturation;
the obtaining the blood flow perfusion index increasing value of the target user comprises the following steps:
Acquiring a basic blood flow perfusion index and a first blood flow perfusion index of the target user, wherein the first blood flow perfusion index is the maximum blood flow perfusion index of the target user in the process that the brachial artery blood flow of the target user is blocked to recover pulse;
determining the blood flow perfusion index increment value according to the first blood flow perfusion index and the basic blood flow perfusion index;
the determining of the vascular endothelial dysfunction index according to the basic blood oxygen saturation, the blood oxygen saturation net recovery time and the blood flow perfusion index increment value comprises the following steps:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Representing the blood flow perfusion index increment value;
Or;
When the age of the target user is greater than or equal to a first preset age, determining a vascular endothelial dysfunction index according to the basic blood oxygen saturation, the net blood oxygen saturation recovery time and the blood flow perfusion index increment value, including:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Representing the blood flow perfusion index increment value;
when the age of the target user is greater than or equal to a second preset age and less than the first preset age, determining a vascular endothelial dysfunction index according to the basic blood oxygen saturation, the blood oxygen saturation net recovery time and the blood flow perfusion index increment value, including:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
2. The method of claim 1, wherein when the vascular endothelial dysfunction index is greater than an abnormality index threshold, the method further comprises, prior to determining that the target user is experiencing vascular endothelial dysfunction:
classifying the target user group according to the attribute of the target user group;
And determining abnormality index thresholds corresponding to different target user groups according to the different target user groups.
3. A microvascular endothelial function detection device, the device comprising:
The acquisition module is used for acquiring basic blood oxygen saturation, blood oxygen saturation net recovery time and blood flow perfusion index increment value of the target user;
The calculation module is used for determining a vascular endothelial dysfunction index according to the basic blood oxygen saturation, the blood oxygen saturation net recovery time and the blood flow perfusion index increment value;
a determining module, configured to determine that the target user has vascular endothelial dysfunction when the vascular endothelial dysfunction index is greater than an abnormality index threshold;
The acquiring module is specifically configured to:
Recording the time for the target user to recover from the first blood oxygen saturation to the second blood oxygen saturation as a first time period, wherein the first blood oxygen saturation is used for representing the blood oxygen saturation of the target user when the blood flow of the brachial artery is blocked for a preset time period, and the second blood oxygen saturation is obtained based on multiplying the basic blood oxygen saturation by a preset coefficient;
recording the time from when the brachial artery blood flow of the target user is blocked to the recovery of the pulse as a second duration;
Performing difference operation on the first time length and the second time length to obtain the net recovery time of the blood oxygen saturation;
Acquiring a basic blood flow perfusion index and a first blood flow perfusion index of the target user, wherein the first blood flow perfusion index is the maximum blood flow perfusion index of the target user in the process that the brachial artery blood flow of the target user is blocked to recover pulse;
determining the blood flow perfusion index increment value according to the first blood flow perfusion index and the basic blood flow perfusion index;
the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Representing the blood flow perfusion index increment value;
Or;
When the age of the target user is greater than or equal to a first preset age, the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Representing the blood flow perfusion index increment value;
when the age of the target user is greater than or equal to a second preset age and less than the first preset age, the computing module is specifically configured to:
According to the formula Calculating vascular endothelial dysfunction index;
Wherein, Represents an index of vascular endothelial dysfunction,Represents the net recovery time of blood oxygen saturation,Represents the basic blood oxygen saturation level of the blood,Indicating the blood flow perfusion index increment value.
4. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the microvascular endothelial function detection method of any one of claims 1 to 2 when executing the computer program.
5. A computer-readable storage medium, characterized in that a computer program is stored thereon, which when executed by a processor implements the microvascular endothelial function detection method according to any one of claims 1 to 2.
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| CN104027097A (en) * | 2014-06-06 | 2014-09-10 | 首都医科大学 | Vascular function noninvasive detecting method and device |
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| CN105852910A (en) * | 2016-04-18 | 2016-08-17 | 何宗彦 | Equipment and method for detecting vascular endothelial functions by Doppler ultrasonography |
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