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Pulmonary embolism clinical risk and prognosis scoring method and system

A technology for pulmonary embolism and prognosis, applied in the field of pulmonary embolism risk detection, can solve problems such as inconvenient use and complicated calculation methods, and achieve the effects of improving efficiency and accuracy, simple calculation methods, and convenient individualized treatment

Pending Publication Date: 2021-08-31
上海市闵行区中心医院
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AI Technical Summary

Problems solved by technology

[0005] Existing prognostic scores contain many variables and are computationally complex, making them inconvenient to use in a busy clinical setting

Method used

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  • Pulmonary embolism clinical risk and prognosis scoring method and system

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Experimental program
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Embodiment 1

[0047] 1. According to the ICD discharge diagnosis code, we identified 612 pulmonary embolism patients from Minhang Hospital affiliated to Fudan University from 2010 to 2017.

[0048] Inclusion criteria:

[0049] [1] Objectively diagnosed with pulmonary embolism by CTPA

[0050] [2] Over 18 years old

[0051] [3] Hospitalized patients with complete medical history

[0052] Exclusion criteria:

[0053] [1] Patients without CTPA or negative CTPA results

[0054] [2] Patients are automatically discharged without the doctor's permission

[0055] [3] The patient's medical history is incomplete

[0056] In the end, only 509 patients with pulmonary embolism objectively confirmed by CTPA were included in the study.

[0057] 2. Data collection: Collect and organize the case data of the enrolled patients, including gender, age, symptoms, signs, echocardiography, blood gas analysis, blood routine, biochemical indicators, coagulation function, treatment methods, etc.

[0058] The s...

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Abstract

The invention provides a pulmonary embolism clinical risk and prognosis scoring method and a system, and the method comprises the steps: carrying out the screening and feature extraction of medical data, and obtaining influence factors corresponding to death; performing single-factor logistic regression analysis on the influence factors, determining variables of a prognosis model, and establishing a logistic regression model; obtaining a result OR value through statistical analysis; assigning each risk factor based on the OR value, and establishing a risk prediction scoring system of pulmonary embolism to predict the death risk of the pulmonary embolism patient within 30 days; constructing an ROC curve, and comparing the areas under the curve of the three scoring systems by using clinical data of the verification group, the modeling group and the modeling group + the verification group; and predicting a result according to the optimal truncation value. The risk and prognosis scoring method can evaluate the death risk of the pulmonary embolism patient within 30 days, and high-risk and low-risk patients can be identified for doctors to refer to and formulate a diagnosis scheme.

Description

technical field [0001] The invention relates to the technical field of pulmonary embolism risk detection, in particular to a clinical risk and prognosis scoring method and system for pulmonary embolism. Background technique [0002] Existing prognostic scores for pulmonary embolism have several shortcomings: [0003] CT pulmonary angiography (CTPA) is the gold standard for the diagnosis of pulmonary embolism. However, in the development of some existing prognostic scores, people only use the International Classification of Diseases (ICD) code to identify patients with pulmonary embolism; users cannot rule out that some non-PE patients with similar symptoms and signs of pulmonary embolism may also be identified incorporated into the model. These scores are not fully established in patients with pulmonary embolism objectively confirmed by CTPA. Therefore, they may not accurately predict the risk of death within 30 days in patients with objectively confirmed pulmonary emboli...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/20
CPCG16H50/30G16H50/20
Inventor 孙克玉梓琛仇超于水利
Owner 上海市闵行区中心医院
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