Clinical Trials Directory

Trials / Completed

CompletedNCT06265493

Postoperative Infectious Complications Calculator for Elderly Patients

Postoperative Infectious Complications Calculator for Elderly Patients--A Derivation and External Validation of Prediction Models Based on Two Centers Large Sample

Status
Completed
Phase
Study type
Observational
Enrollment
37,230 (actual)
Sponsor
Weidong Mi · Academic / Other
Sex
All
Age
65 Years
Healthy volunteers
Not accepted

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.

Detailed 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).

Conditions

Timeline

Start date
2021-06-01
Primary completion
2023-06-30
Completion
2023-09-30
First posted
2024-02-20
Last updated
2024-09-24

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT06265493. Inclusion in this directory is not an endorsement.