Key result
Frailty (OR 3.44; 95% CI 2.73-4.35) and high comorbidity burden were the strongest predictors of failure to rescue after pulmonary resection for lung cancer.
Why the study?
Failure to rescue is an established quality metric, but national data following pulmonary resection remain limited.
Observational (n=14,575)
Yes
Failure to rescue after pulmonary resection for lung cancer is driven by patient vulnerability and procedural complexity rather than hospital characteristics, highlighting the importance of preoperative risk stratification.
Frailty and comorbidity predict failure to rescue after lung resection; supports preoperative risk stratification but leaves open whether interventions improve outcomes.
Background and Objectives Failure to rescue (FTR), defined as death following a postoperative complication, is an established quality metric; however, national data after pulmonary resection remain limited. We aim to identify patient‐, procedural‐, and hospital‐level factors associated with FTR after pulmonary resection for lung cancer and evaluate related outcomes. Methods The National Inpatient Sample (2016–2022) was used to identify adults undergoing elective pulmonary resection for lung cancer who developed ≥ 1 major complication. FTR was defined as in‐hospital mortality. Multivariable logistic regression identified predictors. Secondary outcomes included length of stay, costs, and discharge disposition. Results Among 14,575 patients with major complications, FTR occurred in 2.6%. Frailty (OR 3.44, 95% CI 2.73–4.35) and comorbidity burden (Elixhauser ≥ 2: OR 4.87, 1.54–15.43) were the strongest predictors. Pneumonectomy (OR 2.78, 1.82–4.23), age ≥ 75 years (OR 2.21, 1.47–3.32), and open approach (OR 1.78, 1.41–2.24) were also associated, while female sex and private insurance were protective. No hospital factors were independently associated. Conclusions FTR is driven by patient vulnerability and procedural complexity rather than hospital characteristics. These findings emphasize preoperative risk stratification and complication management in high‐risk patients but do not support regionalization to high‐volume centers as a strategy to reduce FTR.
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Kelly et al. (2026) conducted an observational in Lung cancer (n=14,575). Frailty vs. Absence of frailty was evaluated on Failure to rescue (in-hospital mortality) (OR 3.44, 95% CI 2.73-4.35). Frailty (OR 3.44; 95% CI 2.73-4.35) and high comorbidity burden were the strongest predictors of failure to rescue after pulmonary resection for lung cancer.
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