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Surgeon's Performance in Predicting Postoperative Infections

NCT05961930 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 594

Last updated 2025-04-04

No results posted yet for this study

Summary

Post-surgical (bacterial) infections are the most frequent post-surgical complications, including deep or superficial wound infections, urinary tract infections, pneumonia, and even sepsis. Approximately 6.5-25% of all surgical patients will develop any type of bacterial infection. To personalize surgical infection management, (Artificial Intelligence) models are in the making to predict which patients are at high or low risk of developing a post-surgical infection. In order to benchmark these prediction models to the predictive capabilities of surgeons, the investigators aim to investigate the performance of surgeons in predicting the risk of a patient developing (any type) of post-surgical infection within 30 days.

Conditions

  • Postoperative Infection

Interventions

BEHAVIORAL

Questionnaire

Surgeons will be asked to fill in a short questionnaire after surgery on risk of postoperative infection

Sponsors & Collaborators

  • Leiden University Medical Center

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-02-01
Primary Completion
2023-08-10
Completion
2023-09-10

Countries

  • Netherlands

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05961930 on ClinicalTrials.gov