Identifying Risk Factors and Creating a Point-Based Risk Calculator for Postoperative Pneumonia in Thoracic Surgery Patients
< .05) with a 10-fold cross-validated AUC ROC = .72 (fair classifier). The significant preoperative predictors and their effect size were, sepsis (1.43), systemic inflammatory response syndrome (1.04), male gender (.77), bleeding disorder (.57), current smoker within 1 year (0.39), disseminated cancer (.39), hypoalbuminemia (.33), history of severe chronic obstructive pulmonary disease (.31), and anemia (.05). Method 2 achieved a 10-fold cross-validation AUC ROC = .75 (fair classifier). Method 3 had an AUC ROC = .6 (poor classifier). The nine significant predictors from Method 1 were used to develop a risk-based calculator.
Authors
- Cyril Rakovski (ORCID: https://orcid.org/0000-0002-9051-1466)
- Sadeeka Al-Majid
- Mark Gabot
- Hayden Johnston
- Zachary Petterson
- Olivia Caldwell
- Sarah Cook
Institutions
- Kaiser Permanente (US)
- California State University, Fullerton (US)
- Chapman University (US)
- Kern Medical Center (US)
- Banner Health (US)
- Los Angeles Medical Center (US)
- Kaiser Permanente West Los Angeles Medical Center (US)
Publication Details
- Journal
- AANA journal
- Published
- 2026-04-01
- DOI
- https://doi.org/10.70278/aanaj/.0000001053
- Primary Topic
- Nosocomial Infections in ICU
- Type
- article
- Field-Weighted Citation Impact
- 0.00