Citation
Duchesneau, Emilie D.; Shmuel, Shahar; Faurot, Keturah R.; Park, Jihye; Musty, Allison; Pate, Virginia; Kinlaw, Alan C.; Stürmer, Til; Yang, Yang Claire; & Funk, Michele Jonsson, et al. (2023). Translation of a Claims-Based Frailty Index From the International Classification of Diseases, Ninth Revision, Clinical Modification to the Tenth Revision. American Journal of Epidemiology, 192(12), 2085-2093.Abstract
The Faurot frailty index (FFI) is a validated algorithm that uses enrollment and International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)–based billing information from Medicare claims data as a proxy for frailty. In October 2015, the US health-care system transitioned from the ICD-9-CM to the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Applying the Centers for Medicare and Medicaid Services General Equivalence Mappings, we translated diagnosis-based frailty indicator codes from the ICD-9-CM to the ICD-10-CM, followed by manual review. We used interrupted time-series analysis of Medicare data to assess the comparability of the pre- and posttransition FFI scores. In cohorts of beneficiaries enrolled in January 2015–2017 with 8-month frailty look-back periods, we estimated associations between the FFI and 1-year risk of aging-related outcomes (mortality, hospitalization, and admission to a skilled nursing facility). Updated indicators had similar prevalences as pretransition definitions. The median FFI scores and interquartile ranges (IQRs) for the predicted probability of frailty were similar before and after the International Classification of Diseases transition (pretransition: median, 0.034 (IQR, 0.02–0.07); posttransition: median, 0.038 (IQR, 0.02–0.09)). The updated FFI was associated with increased risks of mortality, hospitalization, and skilled nursing facility admission, similar to findings from the ICD-9-CM era. Studies of medical interventions in older adults using administrative claims should use validated indices, like the FFI, to mitigate confounding or assess effect-measure modification by frailty.URL
https://doi.org/10.1093/aje/kwad151Reference Type
Journal ArticleYear Published
2023Journal Title
American Journal of EpidemiologyAuthor(s)
Duchesneau, Emilie D.Shmuel, Shahar
Faurot, Keturah R.
Park, Jihye
Musty, Allison
Pate, Virginia
Kinlaw, Alan C.
Stürmer, Til
Yang, Yang Claire
Funk, Michele Jonsson
Lund, Jennifer L.