Elderly Patients Surgical Site Infection Phenotypes Identification

NCT06612177 | Completed

• 1 other identifier: PLAGH-AOC-L04
• Study Type: observational
• Target: 42,532
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Postoperative Infection; Geriatrics; Prediction; Surgical Site Infection

Keywords

the elderly; prediction model; surgical site infection; latent class analysis

Outcome Measures

Primary Outcomes (1)

• Elderly Patients Surgical Site Infection Phenotypes Identification

  This study applies Latent Class Analysis to identify SSI phenotypes in elderly post-non-cardiac surgery patients, revealing four distinct subgroups with varying infection risks. The predictive model, validated across two cohorts, underscores the importance of tailored preventive strategies for high-risk subgroups, enhancing SSI management in elderly surgical patients.

  January 2012 - August 2018

Eligibility Criteria

• Age: 65 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The Training set included 42,532 elderly patients treated at the First Medical Center of the Chinese PLA General Hospital (PLAGH) from January 2012 to August 2018.

You may qualify if:

• Age ≥ 65 years;
• Patients undergoing surgeries not involving local anesthesia.

You may not qualify if:

• Patients undergoing neurosurgery or cardiac surgery;
• Patients with preoperative infections (including pneumonia, SSIs, UTIs, and bloodstream infections);
• Uncertain type of operation

Sponsors & Collaborators

• Weidong Mi: lead

Study Sites (1)

Depatment of Anesthesiology, The First Medical Center Affiliation: Chinese PLA General Hospital

Beijing, Beijing Municipality, 100853, China

Location

MeSH Terms

Conditions

Surgical Wound Infection

Condition Hierarchy (Ancestors)

Wound Infection; Infections; Postoperative Complications; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Depatment of Anesthesiology, The First Medical Center

Study Record Dates

• First Submitted: September 21, 2024
• First Posted: September 25, 2024
• Study Start: January 1, 2023
• Primary Completion: December 30, 2023
• Study Completion: June 30, 2024
• Last Updated: October 9, 2024

Record last verified: 2024-09

Locations

CN (1)