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Clinical Trial Summary

The investigators established a first-ever convenient scoring system for clinicians to assess the risk of Postoperative infectious complications (PICs) for elderly patients. Our scoring system can aid in the early detection of potential risks for postoperative infections. Higher-score patients were more likely to experience postoperative infections.


Clinical Trial Description

Background: Postoperative infectious complications (PICs) are related to increased morbidity, mortality, and costs, especially in elderly patients. However, published prediction models of PICs are rarely based on elderly patients. Objective: The study wanted to identify practical and valuable variables that could be used to predict postoperative infections and establish a convenient scoring system for clinicians to assess the risk of such conditions in elderly patients. Methods: Data from 2 population-based cohorts of elderly patients undergoing non-cardiac and non-neurology surgery were used to derive and validate multivariable logistic regression models. The risk prediction models were derived from 37230 patients hospitalized in the First Medical Center of the Chinese PLA General Hospital (January 2004 - December 2019). The risk prediction models were externally validated with data from a cohort of 10252 patients hospitalized in Henan Provincial People's Hospital (November 2014 to May 2022). ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06265493
Study type Observational
Source Chinese PLA General Hospital
Contact
Status Completed
Phase
Start date June 1, 2021
Completion date September 30, 2023

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