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Clinical cerebral infarction patient recurrence risk early warning scoring visual model system and evaluation method thereof

A model system and risk warning technology, applied in the field of recurrence risk assessment of cerebral infarction patients, which can solve the problems of cumbersome, incomplete prognosis judgment, and inability to classify and assess the disease state of patients.

Inactive Publication Date: 2019-12-31
南昌大学第一附属医院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the first-level or second-level guidelines for stroke, it is not comprehensive enough to judge the prognosis of patients with cerebral infarction alone, and it is too cumbersome to evaluate the nearly 20 risk factors recommended by the guidelines, and it is impossible to effectively evaluate the current disease status of patients. Grading and Evaluation

Method used

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  • Clinical cerebral infarction patient recurrence risk early warning scoring visual model system and evaluation method thereof
  • Clinical cerebral infarction patient recurrence risk early warning scoring visual model system and evaluation method thereof
  • Clinical cerebral infarction patient recurrence risk early warning scoring visual model system and evaluation method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] Example 1 data screening

[0067] Before building the model, the data needs to be screened. The steps of the screening method are as follows:

[0068] (1) Modeling input module selection

[0069] A retrospective collection of 30 items of information on patients hospitalized in the Department of Neurology, The First Affiliated Hospital of Nanchang University from January 2018 to December 2018, including basic information of the patients, including age (year), gender, underlying disease (number), Smoking, drinking, mRS score and NIHSS score at the time of admission to the hospital for the last cerebral infarction attack, as well as medications taken by the patient and relevant test information, such as CYP2C19 genotype, ApoE4 genotype, use of glucocorticoids, and use of non-steroidal drugs , the use of PPI preparations, the use of cerebral vasodilators, the use of antidepressants, the use of anticoagulants, the use of nutritional nerve drugs, and the examination results ...

Embodiment 2

[0103] A visual model system for clinical cerebral infarction patients recurrence risk early warning score, including input module, analysis module and result output module, the structure flow is shown in figure 1 ;

[0104] The input module includes three information variable input units, the three information variable input units are respectively patient basic information variable input unit, clinical examination information variable input unit and inspection information variable input unit,

[0105] The patient basic information variable input unit includes an age submodule and a combined basic disease submodule;

[0106] The clinical examination information variable input unit includes a CYP2C19 genotyping submodule and an ApoE4 genotyping submodule;

[0107] The test information variable input unit includes a low-density lipoprotein submodule and a blood coagulation function submodule;

[0108] The analysis module establishes a compound risk nomogram for patients with ...

Embodiment 3

[0121] Example 3 Obtaining the predictive value of recurrence risk in patients with cerebral infarction

[0122] An evaluation method for a visual model system of recurrence risk early warning score for patients with clinical cerebral infarction, the steps of which include:

[0123] (1) Input the six information variables screened out in Example 1 to the input module, including age submodule, combined underlying disease submodule, CYP2C19 genotyping submodule, ApoE4 genotyping submodule, low-density lipoprotein submodule and Coagulation function sub-module;

[0124] Among them, the score of the age sub-module is, if the age is <55 years old, the score is 0 points; if the age is ≥55 years old, the score is 56 points;

[0125] The score of the combined basic disease sub-module is, if the combined basic disease type is <3, the score is 0 points; if the combined basic disease type is ≥3, the score is 42 points;

[0126] The score of the CYP2C19 genotyping submodule is: wild type...

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Abstract

The invention discloses a clinical cerebral infarction patient recurrence risk early warning scoring visual model system. The system comprises an input module, an analysis module and a result output module. The invention also discloses an evaluation method of the clinical cerebral infarction patient recurrence risk early warning scoring visual model system. A clinical cerebral infarction patient recurrence risk evaluation nomogram is concise, popular and easy to understand and convenient for clinicians and patients to operate, and a current cerebral infarction recurrence risk of the patients is predicted. And meanwhile, high-risk, medium-risk and low-risk groups can be clearly distinguished according to patient risk scores calculated by a risk scoring formula in the model so that the clinicians are assisted to formulate an efficient treatment scheme. In the invention, a doctor and the patient are guided to evaluate early warning scores of the clinical cerebral infarction patient recurrence risk in combination with a statistical method, and patient data acquisition is verified through a corresponding mathematical statistical method so that the doctor and the patient can quickly grasp the clinical cerebral infarction patient recurrence risk and provide early warning information.

Description

technical field [0001] The invention belongs to the technical field of recurrence risk assessment for patients with cerebral infarction, and in particular relates to a visual model system for clinical recurrence risk early warning scoring of patients with cerebral infarction. The invention also relates to an evaluation method of the early warning scoring visualization model system. Background technique [0002] Cerebrovascular disease has become the first cause of death and disability in my country, and ischemic cerebrovascular disease accounts for more than 85% of the total cerebrovascular disease. "2017 China Stroke Prevention" pointed out that there are 12.42 million people over the age of 40 in my country who are currently suffering from or have had strokes, and 70% of the surviving patients are left with varying degrees of disability. Even if cured, the recurrence rate of stroke in the first year is still as high as 17.7 %, so the high morbidity, high mortality, high di...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/50G16H50/30
CPCG16H50/30G16H50/50
Inventor 吕燕妮陈文付龙生陈瑾
Owner 南昌大学第一附属医院
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