Frailty and co-morbidity predict first hospitalisation after heart failure diagnosis in primary care: population-based observational study in England

• Published in: Age and ageing Vol. 48; no. 3; pp. 347 - 354
• Main Authors: Bottle, Alex, Kim, Dani, Hayhoe, Benedict, Majeed, Azeem, Aylin, Paul, Clegg, Andrew, Cowie, Martin R
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.05.2019; Oxford Publishing Limited (England)
• Subjects: Adult; Age Factors; Aged; Aged, 80 and over; Beta blockers; Clinical research; Comorbidity; Computerized medical records; Congestive heart failure; Creatinine; Creatinine - blood; Diagnosis; Electronic medical records; Emergency admissions; Female; Frail Elderly; Frailty; Health records; Heart failure; Heart Failure - complications; Heart Failure - diagnosis; Heart Failure - epidemiology; Hematocrit; Hospitalization; Hospitalization - statistics & numerical data; Humans; Living alone; Male; Medical diagnosis; Middle Aged; Morbidity; Observational studies; Patients; Population studies; Population-based studies; Power; Primary care; Primary Health Care - statistics & numerical data; Risk Factors; Serum; Time Factors; United Kingdom > UK; England; CPRD; heart failure; frailty; older people; emergency hospitalisation
• ISSN: 0002-0729; 1468-2834; 1468-2834
• DOI: 10.1093/ageing/afy194

Abstract Background frailty has only recently been recognised as important in patients with heart failure (HF), but little has been done to predict the first hospitalisation after diagnosis in unselected primary care populations. Objectives to predict the first unplanned HF or all-cause admission after diagnosis, comparing the effects of co-morbidity and frailty, the latter measured by the recently validated electronic frailty index (eFI). Design observational study. Setting primary care in England. Subjects all adult patients diagnosed with HF in primary care between 2010 and 2013. Methods we used electronic health records of patients registered with primary care practices sending records to the Clinical Practice Research Datalink (CPRD) in England with linkage to national hospital admissions and death data. Competing-risk time-to-event analyses identified predictors of first unplanned hospitalisation for HF or for any condition after diagnosis. Results of 6,360 patients, 9% had an emergency hospitalisation for their HF, and 39% had one for any cause within a year of diagnosis; 578 (9.1%) died within a year without having any emergency admission. The main predictors of HF admission were older age, elevated serum creatinine and not being on a beta-blocker. The main predictors of all-cause admission were age, co-morbidity, frailty, prior admission, not being on a beta-blocker, low haematocrit and living alone. Frailty effects were largest in patients aged under 85. Conclusions this study suggests that frailty has predictive power beyond its co-morbidity components. HF patients in the community should be assessed for frailty, which should be reflected in future HF guidelines.