J
John G.F. Cleland
Researcher at National Institutes of Health
Publications - 1276
Citations - 125527
John G.F. Cleland is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Heart failure & Ejection fraction. The author has an hindex of 137, co-authored 1172 publications receiving 110227 citations. Previous affiliations of John G.F. Cleland include Northwestern University & Imperial College London.
Papers
More filters
Journal ArticleDOI
Contemporary management of heart failure in clinical practice
TL;DR: Prospective follow up of a large cohort of non-institutionalised elderly patients (aged >70 years) over six years showed that 15% developed heart failure before they died and that 24% of all deaths over this period were preceded by heart failure.
Journal ArticleDOI
Natural history and prognostic significance of iron deficiency and anaemia in ambulatory patients with chronic heart failure.
Fraser J. Graham,Gabriele Masini,Pierpaolo Pellicori,John G.F. Cleland,Nicola Greenlaw,Jocelyn Friday,Syed Kazmi,Andrew L. Clark +7 more
TL;DR: In this article, the authors investigated prevalence, incidence and resolution of iron deficiency and anaemia in 906 patients with chronic heart failure (median age 73 (65-79) years, 70% men, 51% HFrEF) one year apart.
Journal ArticleDOI
Long-term changes of renal function in relation to ace inhibitor/angiotensin receptor blocker dosing in patients with heart failure and chronic kidney disease.
Hanna Fröhlich,Christoph Nelges,Tobias Täger,Vedat Schwenger,Rita Cebola,Johannes Schnorbach,Kevin Goode,Syed Kazmi,Hugo A. Katus,John G.F. Cleland,Andrew L. Clark,Lutz Frankenstein +11 more
TL;DR: In patients with systolic CHF and stable CKD stage III/IV, neither continuation of high doses of ACEI/ARB nor up-titration was related to adverse changes in longer-term renal function.
Journal ArticleDOI
Issues in the Mining of Heart Failure Datasets
TL;DR: This paper has two main conclusions: 1) Despite the nature of clinical datasets, and their large size, methods for missing value imputation do not affect the final performance, and Supervised learning has proven to be more suitable for mining clinical data than unsupervised methods.
Journal ArticleDOI
Referral for Specialist Follow-up and Its Association With Post-discharge Mortality Among Patients With Systolic Heart Failure (from the National Heart Failure Audit for England and Wales).
Connor A. Emdin,Allan J. Hsiao,Amit Kiran,Nathalie Conrad,Gholamreza Salimi-Khorshidi,Mark Woodward,Simon G Anderson,Hamid Mohseni,John J.V. McMurray,John G.F. Cleland,Henry J. Dargie,Suzanna M C Hardman,Theresa McDonagh,Kazem Rahimi,Kazem Rahimi +14 more
TL;DR: For patients with HF and a reduced left ventricular ejection fraction admitted to hospital with worsening symptoms, referral to cardiology services for follow-up after discharge is strongly associated with reduced mortality, both early and late.