35 results about "Hypertension risk" patented technology

The invention discloses an illness risk value prediction method and electronic equipment and is applied to hypertension analysis. The method comprises steps that static data and dynamic data of usersare acquired; the acquired static data and the dynamic data of the users are pre-processed; a dynamic early warning model is constructed through logistic regression and a dynamic vector machine; according to the pre-processed data, the dynamic early warning model is utilized to classify the users; according to classification of the users, corresponding risk values are calculated; the risk values stand for the hypertension risk of the users. The method is advantaged in that a dual-data system is employed, through improved logistic regression and the dynamic vector machine, the chronic illness risk dynamic hybrid early warning model is established, and the accurate illness risk probability value is provided.

The present invention provides a method for identifying a subject having a risk of developing obesity, coronary microvascular dysfunction, or hypertension, comprising detection of the presence of a single nucleotide polymorphism (SNP) in a nucleic acid encoding an element of at least one beta-adrenergic receptor from the subject. The presence of the SNP is correlated with obesity, coronary microvascular dysfunction, or hypertension, and thereby identifies the subject as having a risk of developing obesity, coronary microvascular dysfunction, or hypertension. The subject invention also provides methods of identifying patients likely to benefit from the prescription of beta blocker hypertension medications. In various embodiments, the nucleic acids detected include those genes encoding ADRB1 (beta1AR), ADRB2 (beta2AR), ADRB3 (beta3AR), GNB3 (G protein beta3 subunit), or GNAS1 (GS protein alpha subunit). Methods of treating identified individuals are also provided.

The invention discloses a monitor for gestational hypertension risk on the basis of physiology, biochemistry and blood dynamics information, relating to the technical field of medical equipment. The monitor is characterized by being a device which can input physiology, biochemistry and blood dynamics information of gestational women in an array mode and expresses the gestational hypertension risk by numerical values, bar codes and colors. The device comprises a gestational woman physiology and biochemistry information induction module, a gestational woman blood dynamics information induction module, a logic switch array formation module for the physiology, biochemistry and blood dynamics information of the gestational hypertension risk, a bar code generation module for the gestational hypertension risk, a logic switch value regression calculation module for the gestational hypertension risk, a color generation module for the gestational hypertension risk and a display output module for the gestational hypertension risk. The monitor can automatically induce the physiology, biochemistry and blood dynamics information of the gestational women, and effectively improves the automation degree and the informatization degree for monitoring the gestational hypertension.

The present invention relates to methods, kits and compositions to treat hypertension and other cardiovascular diseases in a subject, in particular, a method of treating or preventing a cardiovascular disease in a subject comprising administering to a subject at least one anti-miR agent to miRNA-425. In some embodiments, an anti-miR agent is a small molecule or an oligonucleotide complementary to at least part of the miR-425 of SEQ ID NO: 1, or an anti-miR complementary to at least part of the miRNA seed sequence AUGACA (SEQ ID NO: 2). Another aspect of the present invention relates to methods, kits and compositions to treat low blood pressure in a subject comprising administering a composition comprising a miR-425 agent to decrease ANP levels in the subject. Other aspects of the present invention relates to assays, methods and systems to identify a subject at risk of hypertension, or identifying a subject suitable to administration of an anti-miR-425 agent for treatment of hypertension, the assay comprising assessing if a subject is homozygous or heterozygous for the major (A) allele of rs5068 SNP, and / or assaying for levels of miR-425 and / or assaying for levels of NT-proANP and / or levels of ANP in the plasma of a subject.

The invention belongs to the technical field of biology, and particularly relates to a kit for detecting gene polymorphism of human hypertension risk and a preparation method and application thereof.The kit respectively consists of a PCR (polymerase chain reaction) pre-mixing reaction solution, a positive reference substance and a negative reference substance, wherein the PCR pre-mixing reactionsolution is used for amplifying the polymorphism of five genes CYP2C9, CYP2D6, ADRB1, AGTR1 and ACE related with the human hypertension risk; the PCR pre-mixing reaction solution comprises a specificprimer sequence group, a probe group and a PCR reaction solution, and the specific primer sequence group is used for amplifying each site and consists of a common outer primer and a specific ARMs (amplification refractory mutation system) primer with a fluorescent label. The kit for detecting the gene polymorphism of human hypertension risk has the advantages that the sensitivity is high, the specificity is high, the operation is simple and convenient, the result is reliable, and the like; the detection can be completed within one hour, and the result judgment is simple and objective.

The invention relates to the field of medical science and technology, and provides a hypertension risk prediction method, device and equipment and a medium. The method comprises the following steps: obtaining the individual information and a fundus image of a to-be-detected target; respectively inputting the fundus image into a preset arteriovenous segmentation model, an optic disk segmentation model and a lesion recognition model, and respectively extracting arteriovenous blood vessels, optic disk regions and fundus lesion features in the fundus image; quantifying the diameters of arteriovenous blood vessels in the optic disc area to obtain blood vessel diameter quantized values corresponding to the arteriovenous blood vessels respectively; using a machine learning regression method to construct a risk prediction model for predicting the hypertension of the target to be detected based on the blood vessel diameter quantized value, the fundus lesion features and the individual information; and inputting the fundus image corresponding to the to-be-detected target into the risk prediction model for detection to obtain a hypertension prediction result of the to-be-detected target. The risk prediction model is trained by adopting a plurality of variable factors, so that the accuracy of hypertension risk prediction is greatly improved.

The invention relates to a hypertension risk evaluation method characterized by comprising the following steps of: (1) reading the basic information of a testee; (2) categorizing the basic information of the testee, laying each category of factor information, taking different parameter values for different layers and calculating the hypertension risk value of the factor; and (3) outputting a hypertension risk estimation table. The invention categorizes different factors by levels and categories, distinguishes the influence of different levels and categories on hypertension and accordingly calculates hypertension risk values.

The invention discloses a method and a system for prompting hypertension risk. The method comprises the following steps: acquiring altitude of equipment, and confirming that a difference between the altitude and an altitude recorded within a first reference time is greater than or identical to a preset threshold; confirming that a blood pressure value, recorded within a second reference time, of a user belongs to a hypertension value; and detecting the blood pressure value of the user, and transmitting risk alarm information as confirming that the blood pressure value of the user undergoes preset fluctuation. According to the method and the system, the blood pressure value of a patient with hypertension can be detected with a high frequency when the patient with the hypertension continuously advances towards a region higher in altitude, and possible hypertension risk can be reminded to the patient with the hypertension when the blood pressure value reaches a risk fluctuation range, so that the patient with the hypertension can timely master own blood pressure status and take response measures timely.

It is intended to provide a means of predicting genetic risk for hypertension at a high accuracy and high prediction possibility. Namely, risk for hypertension is predicted by a method involving the following steps: (i) the step of analyzing two or more polymorphisms selected from among 4 gene polymorphisms having been revealed as relating to hypertension; (ii) the step of determining the genotype of a nucleic acid sample based on the polymorphism data obtained in the above step; and (iii) the step of predicting the genetic risk for hypertension from the genotype thus determined.

The invention discloses a hypertension risk assessment device based on a multi-level Bayesian model. The device is characterized by comprising a computer, wherein the computer is programmed to performthe steps that a multi-level Bayesian generalized linear regression model described as the specification is constructed, h (t,X) is a risk rate function of a proportional risk model, t refers to thetime, X refers to a covariable (prediction index), h0 (t) is a basic risk rate and represents hypertension genetic factors and corresponding parameters when all covariables are 0, and exp (exp) is anexponential function; appropriate prior distribution is selected. The method is advantaged in that a C index of the hypertension onset risk prediction model which is constructed by applying the multi-level Bayesian Cox model and only contains traditional risk factors is 0.6236 (the standard deviation is 0.0024).

The invention relates to the field of obstetrics, in particular to a gestation hypertension risk dynamic evaluation method based on the change of the physical and chemical information of pregnancy. The invention is characterized in that different evaluation criteria can be selected according to the pregnancy cycle, automatic identification is carried out on the physical and chemical information, and the change tendency of the information parameters in the gestation period is monitored, and whether the information parameters are abnormal or not is evaluated according to the comparison between the physical and chemical information and the experimental values. Aiming at different pregnant women or the same pregnant women at different gestational weeks, the doctor can use the historical medical information, the current physical and chemical information and the diagnosis and treatment experience, the risk weights of the physical and chemical parameters are adjusted, and the risk that the pregnant women suffer from hypertension and related complications is evaluated, so that the medical process has good flexibility. According to the evaluation method, the pre-pregnancy medical history iscombined with the post-pregnancy information, the dynamic monitoring is combined with the static estimation, and the current detection is combined with the trend estimation, the single detection andthe overall evaluation are combined, so that the monitoring can have real-time ability, prediction performance and pertinence, and the intervention can be carried out on the pregnant woman in advance,and the harm of the mother and the baby can be reduced.

The invention provides a preparation method for a kidney-tonifying healthcare medicinal liquor. According to the theory of kidney being congenital origin in the traditional Chinese medicine, the medicinal liquor prepared according to the invention mainly has the effect of reinforcing kidney to strengthen yang, adopts high-quality medicinal materials, is processed on the basis of reservation of substance nutritional ingredients and healthcare function, has the functions of enhancing physical power and promoting sexual function, is capable of improving vascular elasticity so as to reduce high blood pressure risk, is suitable for people suffering from the symptoms, such as, kidney deficiency, impotence, premature ejaculation, lumbago, weakness, prematurely senile, and the like, is also suitable for people suffering from cardiovascular disease and is a functional Yang-strengthening healthcare medicinal liquor.

The invention belongs to the field of hypertension patient cardiovascular danger layered evaluation technology, and discloses a hypertension patient cardiovascular danger layered evaluation method based on intelligent decision support. A hypertension patient cardiovascular danger layered evaluation method based on intelligent decision support comprises the components of a blood vessel parameter acquisition module, a pulse detecting module, a heart rate detecting module, a master control module, a patient file creating module, a layered model creating model, a hypertension risk predicting module, a tested data storage module and a display module. According to the method, through a layered model establishing module, by means of combination of an invasive attribute and a noninvasive attribute, the health layering model for aiming at the cardiovascular patient has advantages of higher accuracy, higher efficiency and effective overcoming of defects in establishing of previous models. Furthermore, high predicting accuracy is realized through the hypertension risk predicting model, and a neural network model is customized for each user.

The invention discloses a system for deducing hypertension based on dietary habits, equipment and a storage medium. The system comprises: a diet detection module which is used for acquiring user information and diet data in a continuous time period, and extracting the intake condition of related elements of hypertension of a user; a data set module which is used for acquiring diet conditions of different crowds in a continuous time period, extracting user characteristics and making a sample data set by taking whether the crowds suffer from hypertension or not as a label; a model construction module which is used for constructing a multi-layer perception model and training the multi-layer perception model based on the sample data set; and a risk prediction module which is used for inputting the user information and the intake condition of the hypertension-related elements into the multi-layer perception model and predicting a risk index of the user suffering from hypertension. According to the system, intelligent cognition and prediction of hypertension are realized by using multiple layers of sensors, and refined diet management and hypertension risk management and control of the user can be helped.

The invention discloses a hypertension risk prediction method and device. The method comprises the following steps: obtaining to-be-detected data, wherein the to-be-detected data comprises a blood oxygen signal image, a power spectrum characteristic image and clinical characteristics of an OSA patient; and inputting the to-be-detected data into a pre-trained hypertension risk prediction model, wherein the output result of the hypertension risk prediction model is the hypertension probability of the OSA patient. More hypertension associated information is provided for the hypertension risk prediction model through the blood oxygen signal image and the power spectrum characteristic image, so that the hypertension prediction accuracy is improved. On the other hand, the related characteristicsof the blood oxygen signal are automatically extracted from the blood oxygen signal image and the power spectrum characteristic image through the hypertension risk prediction model, and the hypertension prediction result can be obtained without manual extraction and characteristic processing, so that the manual error is greatly reduced, and the hypertension prediction precision and efficiency ofOSA patients are further improved.

The invention discloses a medicinal liquor for invigorating the kidney and strengthening Yang and a preparation method thereof. The medicinal liquor comprises raw herbal materials and wine, wherein the raw herbal materials comprise, by weight, 8-15 parts of hippocampi, 10-20 parts of cornu cervi pantotrichum, 7-15 parts of ganoderma, 3-8 parts of epimedium herb, 5-10 parts of radix codonopsis, 5-12 parts of herba cistanche, 2-10 parts of American ginseng, 5-10 parts of crocus sativus, 5-20 parts of fructus lycii, 5-20 parts of red jujubes, 5-20 parts of mulberry fruits and 100 parts of Baijiu.The medicinal liquor prepared by using the preparation method is mainly used for invigorating the kidney and strengthening Yang, the high-quality raw herbal materials are selected, on the basis of reserving nutrient ingredients of the materials and the health-care function, the raw herbal materials are processed and prepared, the medicinal liquor has the functions of enhancing the physical strength, improving the sexual function, improving the vascular elasticity and thus reducing the hypertension risk, the medicinal liquor is suitable for deficiency of the kidney, impotence, prospermia, lumbagos, weakness, prematurely senile and other disease symptoms, and the medicinal liquor has a certain treatment effect on diabetes, cerebral infarction and cerebral thrombosis.

The invention provides an intelligent pregnancy-induced hypertension monitoring device, which comprises an information input module, a data acquisition module, a vital sign standard value estimation module, a data storage module, a pregnancy-induced hypertension risk prediction module, an alarm module and a result display module, and is characterized in that the vital sign standard value estimation module comprises an estimation module and a sample library. The vital sign standard value estimation module is used for determining a vital sign standard value of the monitored person by carrying out similarity matching with samples in a sample library according to the basic information of the monitored person and a medically specified vital sign normal value; taking the vital sign standard value as a control limit, and predicting and pre-warning the pregnancy-induced hypertension risk of the monitored person by collecting the vital sign parameters of the monitored person in real time. According to the invention, monitoring and early warning can be carried out in a targeted manner according to individual states of different monitors, high efficiency and high accuracy are achieved, and the problem of monitoring errors caused by individual differences and time differences is solved.

The invention discloses a generalized orthogonal fuzzy group decision-making-based hypertension risk early warning scheme determination method, which comprises a group decision-making method integrating an interval value generalized orthogonal fuzzy distance, a Yager operator, a CRITIC-WASPAS decision-making method, a decision maker weight and a score function, and a researched group decision-making algorithm is used for hypertension risk management. A case implementation result of the method is consistent with an opinion given by a decision maker, and the group decision method provided by the invention is verified to be effective.

The invention relates to a construction method and system of a hypertension prediction model. The construction method comprises the following steps: screening and determining characteristic variables of the hypertension prediction model based on a statistical method; taking the characteristic variables as factors, and determining a regression coefficient and a corresponding score of each characteristic variable; constructing a multi-factor Logistic (logarithmic probability) regression model for hypertension prediction according to the regression coefficient and the corresponding score of each feature variable, wherein the multi-factor Logistic regression model is a hypertension risk prediction probability value function corresponding to each feature variable. Analysis is conducted for main influence factors of hypertension, the Logistic regression model is adopted to determine a quantitative relationship between various risk factors and the occurrence of future hypertension, and the incidence probability of future hypertension of an individual is predicted with the levels of various risk factors.

The invention provides a glove for detecting multiple physiological parameters and a hypertension disease risk detection system. The glove comprises a main control module, an electrocardiosignal acquisition assembly and a comprehensive signal acquisition assembly, the electrocardiosignal acquisition assembly comprises a plurality of electrodes arranged on the palm side of the outer surface of the glove body and an electrocardiosignal acquisition module connected with each electrode, and the electrocardiosignal acquisition assembly is used for acquiring electrocardiosignals; the comprehensive signal acquisition component is arranged at any fingertip position on the inner surface of the glove body and is used for acquiring a pulse wave signal by adopting a transmission-type blood oxygen acquisition mode; acquiring the oxyhemoglobin saturation by adopting a spectrophotometric measurement method and a transmission-type blood oxygen acquisition mode; and the main control module is used for sending the acquired electrocardiosignal, oxyhemoglobin saturation and pulse wave signal to external equipment to determine the risk probability of hypertension of the user. According to the invention, multiple physiological parameters of a human body can be monitored in real time so as to predict the hypertension risk.

The present invention provides a systematic approach that allows health care providers (e.g., physicians) to use erythrocyte potassium measurements as an indicator of hypertension or risk of developing hypertension. In particular, the present invention provides systems and methods for treating conditions involving aberrant erythrocyte potassium levels (e.g., hypertension), preventing the onset of conditions involving aberrant erythrocyte potassium levels, identifying individuals at risk for developing hypertension, and evaluating the effectiveness of treatments for conditions involving aberrant erythrocyte potassium levels (e.g., hypertension).