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NCT06612177

Elderly Patients Surgical Site Infection Phenotypes Identification

Completed Last updated 9 October 2024
What this trial tests

trial in Postoperative Infection in 42,532 participants. Completed in 30 June 2024.

Timeline
1 January 2023
Primary endpoint
30 December 2023
30 June 2024

Quick facts

Lead sponsorWeidong Mi
StatusCompleted
Study typeOBSERVATIONAL
Enrollment42,532
Start date1 January 2023
Primary completion30 December 2023
Estimated completion30 June 2024
Sites1 location across China

Conditions studied

Sponsor

Weidong Mi

Who can join

65 and older, any sex, with Postoperative Infection or Geriatrics. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This study utilizes Latent Class Analysis (LCA) to identify phenotypes of Surgical Site Infection (SSI) in elderly patients following non-cardiac surgery. By analyzing data from two large cohorts, the research establishes a predictive model that uncovers independent risk factors for SSI, including age, hyperlipidemia, and surgical characteristics. The model, with AUCs ranging from 0.753 to 0.791 across cohorts, offers a calibrated prediction of SSI risk. Furthermore, LCA delineates four distinct SSI subphenotypes, highlighting a critical subgroup with a higher infection rate. This subgroup presents a complex interplay of risk factors, indicating the need for tailored preventive strategies. The study's findings contribute to a nuanced understanding of SSI in elderly surgical patients and pave the way for more targeted infection control measures.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Postoperative Infection

Currently open trials in the same condition.

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