Alex Bottle1,2, Dani Kim1,2, Benedict Hayhoe2, Azeem Majeed2, Paul Aylin1,2, Andrew Clegg3, Martin R Cowie4. 1. Department of Primary Care and Public Health, Dr Foster Unit, Imperial College London, 3 Dorset Rise, London, UK. 2. Department of Primary Care and Public Health, Imperial College London, Charing Cross Campus, The Reynolds Building, St Dunstan's Road, London, UK. 3. Academic Unit of Elderly Care and Rehabilitation, University of Leeds, Bradford Royal Infirmary, Duckworth Lane, Bradford, UK. 4. National Heart & Lung Institute, Royal Brompton Hospital, Imperial College London, Sydney St, Chelsea, London, UK.
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.
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.
Authors: Pei-Pei Zheng; Si-Min Yao; Jing Shi; Yu-Hao Wan; Di Guo; Ling-Ling Cui; Ning Sun; Hua Wang; Jie-Fu Yang Journal: Front Cardiovasc Med Date: 2020-12-10
Authors: Reshma Aziz Merchant; Richard Jor Yeong Hui; Sing Cheer Kwek; Meena Sundram; Arthur Tay; Jerome Jayasundram; Matthew Zhixuan Chen; Shu Ee Ng; Li Feng Tan; John E Morley Journal: Front Med (Lausanne) Date: 2020-07-08