Status
Conditions
About
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.
Full 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 2012 - August 2018). 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).
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
37,230 participants in 2 patient groups
Loading...
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal