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Analyzing Risk Factors for Morbidity and Mortality after Lung Resection for Lung Cancer Using the NSQIP Database
Raymond A Jean1, Matthew R DeLuzio1, Alexander I Kraev2
1Department of Surgery, Yale School of Medicine, New Haven, CT.
Journal of the American College of Surgeons
|April 28, 2016
Summary
Preoperative risk factors like dyspnea and dysnatremia predict mortality after pulmonary resections, independent of complications. Improving patient outcomes requires addressing these factors and complications. Keywords: pulmonary resection, mortality, risk factors, dyspnea, dysnatremia.
Area of Science:
- Thoracic Surgery
- Surgical Outcomes Research
- Predictive Analytics in Medicine
Background:
- Developing predictive models for mortality after anatomic pulmonary resections is crucial.
- Identifying preoperative risk factors and perioperative complications that impact patient survival is essential.
Purpose of the Study:
- To develop a predictive model for mortality following anatomic pulmonary resections.
- To identify key preoperative risk factors and perioperative complications associated with mortality.
Main Methods:
- Retrospective cohort study using the American College of Surgeons NSQIP database (2005-2012).
- Analysis of 6,435 elective lobectomies for cancer.
- Multivariate logistic regression and LASSO selection methods to identify significant predictors of 30-day perioperative mortality.
Main Results:
- Seven preoperative risk factors and three complications were identified as significant predictors of mortality.
- Dyspnea at rest, dyspnea on exertion, and dysnatremia independently predicted mortality.
- Age, male sex, open lobectomy, dyspnea (rest and exertion), dysnatremia, and anemia were significant predictors.
Conclusions:
- Clinical factors predicting postoperative complications and mortality are complex and not always aligned.
- Improving quality after pulmonary resections necessitates strategies addressing both risk factors and complications.

