ArticleAge and ageing2022
Assessment of coding-based frailty algorithms for long-term outcome prediction among older people in community settings: a cohort study from the Shizuoka Kokuho Database.
Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Trajectory of frailty among the older people in a community setting: A cohort study from the Shizuoka Kokuho Database.Aging clinical and experimental research · 2026Article
- SGLT2 inhibitors and mortality in older adults with diabetic kidney disease: A target trial emulation study.Diabetes, obesity & metabolism · 2026Article
- Discontinuation of Heart Failure Pharmacotherapy in Older Adults With Frailty.Journal of the American Heart Association · 2026Article
- Evolution and challenges of physician-led home visits in Japan.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025Article
- SANTANA Cohort: Study on Frailty in Institutionalised Older Adults and Its Relationship With Gordon's Functional Health Patterns.Journal of advanced nursing · 2025Article
- Article
- Kidney outcomes with SGLT2 inhibitor versus DPP4 inhibitor use in older adults with diabetes.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025Article
- Identifying core adverse health outcomes for frailty assessment in older adults using administrative data.Frontiers in medicine · 2025Article
- Development and validation of an electronic frailty index in a national health maintenance organization.Aging · 2024Article
- Article
- Traumatic Brain Injury as an Independent Predictor of Futility in the Early Resuscitation of Patients in Hemorrhagic Shock.Journal of clinical medicine · 2024Review
- Effect of overweight/obesity and metabolic syndrome on frailty in middle-aged and older Japanese adults.Obesity science & practice · 2024Article
- Risk factors and drugs that trigger the onset of Stevens-Johnson syndrome and toxic epidermal necrolysis: A population-based cohort study using the Shizuoka Kokuho database.JAAD international · 2023Article
- Article
- Frailty and subsequent adverse outcomes in older patients with atrial fibrillation treated with oral anticoagulants: The Shizuoka study.Research and practice in thrombosis and haemostasis · 2023Article
- Longitudinal analysis of long-term outcomes of colorectal cancer after laparotomy and laparoscopic surgery: The Shizuoka study.PloS one · 2023Article
- Association between Frailty Assessed Using Two Electronic Medical Record-Based Frailty Assessment Tools and Long-Term Adverse Prognosis in Older Critically Ill Survivors.The journal of nutrition, health & aging · 2023Observational
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13 authors.
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Abstract
objectivesTo assess the applicability of Electronic Frailty Index (eFI) and Hospital Frailty Risk Score (HFRS) algorithms to Japanese administrative claims data and to evaluate their association with long-term outcomes. STUDY DESIGN AND
settingA cohort study using a regional government administrative healthcare and long-term care (LTC) claims database in Japan 2014-18.
participantsPlan enrollees aged ≥50 years.
methodsWe applied the two algorithms to the cohort and assessed the scores' distributions alongside enrollees' 4-year mortality and initiation of government-supported LTC. Using Cox regression and Fine-Gray models, we evaluated the association between frailty scores and outcomes as well as the models' discriminatory ability.
resultsAmong 827,744 enrollees, 42.8% were categorised by eFI as fit, 31.2% mild, 17.5% moderate and 8.5% severe. For HFRS, 73.0% were low, 24.3% intermediate and 2.7% high risk; 35 of 36 predictors for eFI, and 92 of 109 codes originally used for HFRS were available in the Japanese system. Relative to the lowest frailty group, the highest frailty group had hazard ratios [95% confidence interval (CI)] of 2.09 (1.98-2.21) for mortality and 2.45 (2.28-2.63) for LTC for eFI; those for HFRS were 3.79 (3.56-4.03) and 3.31 (2.87-3.82), respectively. The area under the receiver operating characteristics curves for the unadjusted model at 48 months was 0.68 for death and 0.68 for LTC for eFI, and 0.73 and 0.70, respectively, for HFRS.
conclusionsThe frailty algorithms were applicable to the Japanese system and could contribute to the identifications of enrollees at risk of long-term mortality or LTC use.
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