biostudies-literatureCheng DU.S. Department of Veterans AffairsCSRD VA3009-3022https://www.ebi.ac.uk/biostudies/studies/S-EPMC9359868biostudies-literatureUnknown11(15)<h4>Background</h4>Older patients with non-small cell lung cancer (NSCLC) are a heterogeneous population with varying degrees of frailty. An electronic frailty index such as the Veterans Affairs Frailty Index (VA-FI) can potentially help identify vulnerable patients at high risk of poor outcomes.<h4>Methods</h4>NSCLC patients ≥65 years old and diagnosed in 2002-2017 were identified using the VA Central Cancer Registry. The VA-FI was calculated using administrative codes from VA electronic health records data linked with Medicare and Medicaid data. We assessed associations between the VA-FI and times to mortality, hospitalization, and emergency room (ER) visit following diagnosis by Kaplan-Meier analysis and multivariable stratified Cox models. We also evaluated the change in discriminationCancer medicinePrognostic value of the veterans affairs frailty index in older patients with non-small cell lung cancer.PMC9359868IK2 CX002218Fillmore NRCheng DTuck DPSheikh ARBrophy MTDumontier CLa JDo NVDriver JAfalsePrognostic value of the veterans affairs frailty index in older patients with non-small cell lung cancer.<h4>Background</h4>Older patients with non-small cell lung cancer (NSCLC) are a heterogeneous population with varying degrees of frailty. An electronic frailty index such as the Veterans Affairs Frailty Index (VA-FI) can potentially help identify vulnerable patients at high risk of poor outcomes.<h4>Methods</h4>NSCLC patients ≥65 years old and diagnosed in 2002-2017 were identified using the VA Central Cancer Registry. The VA-FI was calculated using administrative codes from VA electronic health records data linked with Medicare and Medicaid data. We assessed associations between the VA-FI and times to mortality, hospitalization, and emergency room (ER) visit following diagnosis by Kaplan-Meier analysis and multivariable stratified Cox models. We also evaluated the change in discrimination2022-01-01T00:00:00Z2022 Aug2025-04-04T03:40:05.364Z2025-04-04T03:40:05.364ZS-EPMC93598683533861310.1002/cam4.4658