Risk score model for predicting mortality among patients with lung cancer.

Autor:	Huh Y; Department of Family Medicine, Uijeongbu Eulji Medical Center, Eulji University, Gyeonggi-do, Republic of Korea., Kim HR; College of Natural Science, School of Statistics, University of Seoul, Seoul, Republic of Korea., Kim HJ; Department of Preventive Medicine and Clinical Epidemiology and Biostatics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Son KY; Department of Family Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jazyk:	angličtina
Zdroj:	Frontiers in medicine [Front Med (Lausanne)] 2024 Oct 14; Vol. 11, pp. 1400049. Date of Electronic Publication: 2024 Oct 14 (Print Publication: 2024).
DOI:	10.3389/fmed.2024.1400049
Abstrakt:	Background: To develop an accurate mortality risk predictive model among patients with lung cancer. Methods: The development cohort included 96,255 patients with lung cancer aged ≥19 years, who underwent a Korean National Health Insurance Service health check-up from 2005 to 2015. The validation cohort consisted of 18,432 patients (≥19 years) with lung cancer from another region. The outcome was all-cause mortality between January 1, 2005, and December 31, 2020. Results: Approximately 60.5% of the development cohort died within a median follow-up period of 2.32 (0.72-5.00) years. Risk score was highest in participants aged ≥65 years, followed by those who underwent treatment, had a history of emergency room visits, and were current smokers. Participants treated by surgery had the lowest risk score, followed by combined surgery and chemotherapy, combined surgery and radiation therapy, women, and regular exercisers. The C statistic in the development and validation cohorts was 0.78 (95% confidence interval, 0.77-0.78) and 0.81 (95% confidence interval, 0.78-0.84), respectively. Conclusion: Advanced age, lung cancer stage, and treatment type were strong risk factors of mortality in lung cancer patients, while being a woman and exercise were preventive factors. These will aid in the prediction of mortality and management of lung cancer patients. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Huh, Kim, Kim and Son.)
Databáze:	MEDLINE
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