Postoperative Infectious Complications Calculator for Elderly Patients
NCT ID: NCT06265493
Last Updated: 2024-09-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
37230 participants
OBSERVATIONAL
2021-06-01
2023-09-30
Brief Summary
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Detailed Description
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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
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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derivation cohort
29785 in the derivation cohort
No interventions assigned to this group
internal validation cohort
7445 in the internal validation cohort
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
2. patients undergoing surgery with anesthesia.
Exclusion Criteria
2. preoperative infectious diseases, and
3. patients with ≥50% of data missing.
65 Years
ALL
No
Sponsors
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Weidong Mi
OTHER
Responsible Party
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Weidong Mi
Director, Department of Anesthesiology, The First Medical Center
Principal Investigators
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Weidong Mi, Ph.D.
Role: STUDY_CHAIR
Depatment of Anesthesiology, The First Medical Center Affiliation: Chinese PLA General Hospital
Locations
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Depatment of Anesthesiology, The First Medical Center Affiliation: Chinese PLA General Hospital
Beijing, Beijing Municipality, China
Countries
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Other Identifiers
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PLAGH-AOC-L02
Identifier Type: -
Identifier Source: org_study_id
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