衰弱風(fēng)險(xiǎn)預(yù)測模型的范圍綜述

打開文本圖片集

Scoping review of frailty risk prediction models

CHEN Hongshuang， WANG Qinlu， ZOU Haiou

School of Nursing， Chinese Academy of Medical Sciences & Peking Union Medical College， Beijing 100144 China

Corresponding Author  ZOU Haiou， E?mail： [email protected]

Abstract  Objective：To systematically integrate the construction and application status，predictors and performance of frailty risk prediction models in China and abroad.Methods：The Chinese and English databases were retrieved，and retrieval time from database establishment to June 30，2022.Data was extracted and summarized for analysis.According to Prediction model Risk Of Bias Assessment Tool，the risk of bias was evaluated from four aspects with research objects，predictor，outcome and analysis of the models established.Results：A total of 12 literature was included in the study，which was mainly carried out by Chinese.The research subjects were mainly elderly people.The model construction methods could be divided into Logistic regression model and machine learning.The model mainly displayed the risk scoring formula based on regression coefficients of each factor.The three predictive factors with the highest frequency of occurrence were comorbidities，age，and multiple drug use.Conclusions：The models included in this study have good prediction，but the overall bias risk of the study is higher.In the future，visual model presentation methods can be applied，and models with low bias risk，good predictive performance，and high clinical practicality can be established.

Keywords    frailty； prediction model； risk assessment； nursing； scoping review

摘要  目的：對國內(nèi)外衰弱風(fēng)險(xiǎn)預(yù)測模型的構(gòu)建及應(yīng)用狀況、預(yù)測因子及性能進(jìn)行系統(tǒng)整合。（剩余10772字）