{"doi":"10.1093/gerona/glae174","title":"Longitudinal Changes in a Claims-Based Frailty Proxy Measure Compared to Concurrent Changes in the Fried Frailty Phenotype","abstract":"BACKGROUND: Frailty is a dynamic aging-related syndrome, but measuring frailty transitions is challenging. The Faurot frailty index is a validated Medicare claims-based frailty proxy based on demographic and billing information. We evaluated whether 3-year changes in the Faurot frailty index were consistent with concurrent changes in the frailty phenotype in a cohort of older adults. METHODS: We used longitudinal data from the National Health and Aging Trends Study (NHATS) with Medicare claims linkage (2010-2018). We identified older adults (66+ years) in the 2011 and 2015 NHATS cohorts with at least 1 year of Medicare fee-for-service continuous enrollment (N = 6 951). We described annual changes in mean claims-based frailty for up to 3 years, based on concurrent transitions in the frailty phenotype. RESULTS: At baseline, 32% were robust, 48% prefrail, and 19% frail based on the frailty phenotype. Mean claims-based frailty for older adults who were robust at baseline and worsened to frail increased over 3 years (0.09-0.25). Similarly, those who worsened from prefrail to frail experienced an increase in mean claims-based frailty (0.14-0.26). Improvements in the frailty phenotype did not correspond to decreases in claims-based frailty. Older adults whose frailty phenotype improved over time had a lower baseline claims-based frailty score than those who experienced stable or worsening frailty. CONCLUSIONS: Older adults who experienced a frailty phenotype worsening over 3 years experienced concurrent increases in the Faurot frailty index. Our results suggest that claims data may be used to identify clinically meaningful worsening in frailty.","journal":"The Journals of Gerontology Series A","year":2024,"id":468547,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9517,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":270250,"name":"Dae Hyun Kim","orcid":"0000-0001-7290-6838","position":1,"is_corresponding":false},{"id":426828,"name":"Til Stürmer‎","orcid":"0000-0002-9204-7177","position":2,"is_corresponding":false},{"id":387631,"name":"Katherine E. Reeder‐Hayes","orcid":"0000-0001-6903-0177","position":3,"is_corresponding":false},{"id":352751,"name":"Jessie K. Edwards","orcid":"0000-0002-1741-335X","position":4,"is_corresponding":false},{"id":420404,"name":"Keturah R. Faurot","orcid":"0000-0001-6122-7821","position":5,"is_corresponding":false},{"id":387620,"name":"Jennifer L. Lund","orcid":"0000-0002-1108-0689","position":6,"is_corresponding":false},{"id":676964,"name":"Emilie D. Duchesneau","orcid":"0000-0002-0974-8539","position":0,"is_corresponding":true}],"reference_count":18,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:05:23.500722Z","pmid":"38995106","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}