RESUMO
BACKGROUND: Active primary lung malignancy remains a strong contraindication to lung transplantation (LTx). However, outcomes are unclear for patients with early-stage non-small cell lung cancer (NSCLC) who undergo LTx. We hypothesize that patients with early-stage NSCLC incidentally discovered in the explanted lungs have survival comparable to LTx recipients without incidental cancer identified. METHODS: We performed a single-center retrospective analysis of all LTx recipients from May 2007 to September 2021 with incidental cancer identified in the explanted lungs by pathologist report. Survival statistics were estimated using Kaplan-Meier analysis. RESULTS: Of the 1586 LTx performed, 23 patients (1.5%) were found to have incidental lung cancer in the explanted lungs. The most common indications for LTx were interstitial lung disease (n = 13) and chronic obstructive pulmonary disease (n = 7), and the most common histologic diagnosis was adenocarcinoma (n = 14). In the cohort with stage I disease (n = 9), the 1- and 5-year unadjusted Kaplan-Meier survival rates were 88.9% and 51.9%, respectively. The 1- and 5-year survival rates for transplant recipients without incidental cancer findings at LTx during this period were 86.7% and 59.4%, respectively, and did not differ significantly between the 2 strata (P = .96). CONCLUSIONS: Survival rates at 1 and 5 years were comparable between LTx recipients with incidentally noted pathologic stage I NSCLC and contemporary recipients without cancer. All cancer-related deaths occurred in recipients with incidentally noted advanced NSCLC. These results suggest that patients with pathologic stage I lung cancer at the time of transplant have outcomes comparable to those without cancer findings at the time of transplant.
RESUMO
Characterization of patterns of alcohol consumption during pregnancy encompasses multiple factors such as magnitude, frequency, and timing of exposure throughout gestation. Traditional statistical models are limited in dealing with multivariate and diverse patterns of exposure as in the context of this analysis. We propose a finite mixture model-based approach to derive clusters of alcohol exposure of participants in the Safe Passage Study (PASS). Daily alcohol consumption data for 11,083 pregnant women have been clustered in 10 different exposed groups. The resulting cluster analysis was able to characterize alcohol consumption in a comprehensive framework capable of taking into account both quantity and timing of exposure as well as the occurrence of binge drinking.
