Evaluation of Death Risks of Lung Cancer Patients with Frailty Models

Abstract

OBJECTIVE:The aim of this study is to investigate the prognostic factors of lung cancer by evaluating the most appropriate survival model with a selection criteria. MATERIAL AND METHODS:In the study, the data of 185 patients diagnosed with lung cancer from the Medical Oncology Outpatient Clinic of Mustafa Kemal University Faculty of Medicine were retrospectively obtained from the patient files. The frailty models with different distributions were used for evaluating the heterogeneity between patients. Model selections were made according to AIC and BIC criteria. RESULTS:The median survival time of patients with lung cancer in the study was 11 months (95% confidence interval 9.57-12.42). The best frailty models’ frailty distribution was lognormal and the basic hazard function distribution was loglogistic. The best model results showed that, the effect of the albumin variable on the risk of death of lung cancer patients was statistically significant (p = 0.018). CONCLUSIONS:Generally, environmental and genetic factors that affect the survival time of lung cancer patients can not be evaluated.Thus, the term of the frailty resulting from the heterogeneity of factors when assessing individuals influencing survival of patients with lung cancer should be taken into account.

Keywords

• zayıflık
• sağkalım analizi
• akciğer kanseri
• frailty
• survival time
• lung cancer