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Novel venous thromboembolism risk and prognosis prediction model

A technology of thromboembolism and prediction model, which is applied in the field of new venous thromboembolism risk and prognosis prediction model, can solve problems such as lack, and achieve the effect of reducing disability and mortality

Inactive Publication Date: 2019-03-26
顿晓熠
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Problems solved by technology

[0002] The incidence of venous thromboembolism (VTE) is second only to acute coronary syndrome and stroke. It is a common vascular disease with high morbidity and high mortality. Compared with other medical diseases, diabetes is not only the number of patients Numerous and high-risk factors for venous thromboembolism have their own characteristics. Diabetes is likely to be combined with multiple high-risk factors for venous thromboembolism. Since venous thromboembolism is a preventable disease, early diagnosis and effective prevention and treatment strategies should be adopted It is of great significance to improve the prognosis, disability rate and mortality rate of patients. At present, there is still a lack of relevant research on the risk and prognosis prediction models of venous thromboembolism in the special population of diabetes at home and abroad.

Method used

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Embodiment Construction

[0009] The present invention will be described below with specific embodiments, which are not intended to limit the present invention.

[0010] A novel venous thromboembolism risk and prognosis prediction model, comprising the following steps:

[0011] (1) According to age, gender, duration of diabetes, blood sugar level, body mass index, blood pressure, uric acid, blood lipid, 24h urine protein, D-dimer, acute infection, history of cardiovascular and cerebrovascular diseases, tumor, VTE history, tumor, heart failure , Respiratory failure, establish a new VTE individual risk score model specially used to evaluate inpatients with diabetes mellitus;

[0012] (2) According to pulmonary embolism severity index score, relative enhancement value of dual-energy CT pulmonary perfusion imaging, pulmonary artery obstruction index, ratio of right ventricle to left ventricle end-diastolic diameter, venous ultrasound grade, troponin, brain natriuretic peptide, and heart-type fatty acid bin...

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Abstract

A novel venous thromboembolism risk and prognosis prediction model is produced through the following steps: (1) establishing a new special personal risk scoring model for assessing the VTE of diabetology inpatients according to the age, the gender, the duration of diabetes, the blood sugar level, the body mass index, the blood pressure, uric acid and other diabetic patient VTE related risk factors; and (2) establishing a diabetolog VTE prognosis model according to the pulmonary embolism severity index score, the dual-energy CT lung perfusion imaging relative enhancement value, the pulmonary artery occlusion index, the C-response protein, the D-dimer and other indicators. The venous thromboembolism risk and prognosis prediction model for diabetology inpatients is clinically verified to be helpful for early diagnosis and judgment prognosis of diabetic patients with venous thromboembolism, so the disability rate and the case fatality rate are reduced.

Description

technical field [0001] The invention relates to a novel venous thromboembolism risk and prognosis prediction model. Background technique [0002] The incidence of venous thromboembolism (VTE) is second only to acute coronary syndrome and stroke. It is a common vascular disease with high morbidity and high mortality. Compared with other medical diseases, diabetes is not only the number of patients Numerous and high-risk factors for venous thromboembolism have their own characteristics. Diabetes is likely to be combined with multiple high-risk factors for venous thromboembolism. Since venous thromboembolism is a preventable disease, early diagnosis and effective prevention and treatment strategies should be adopted It is of great significance to improve the prognosis, disability rate and mortality rate of patients. At present, there is still a lack of relevant research on the risk and prognosis prediction models of venous thromboembolism in diabetes, a special population at ho...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/0205A61B6/03
CPCA61B5/0205A61B5/7271A61B5/7275A61B6/032A61B6/52
Inventor 顿晓熠
Owner 顿晓熠
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