Bridging the gap in heart failure prevention: rationale and design of the Nurse-led Intervention for Less Chronic Heart Failure (NIL-CHF) Study

Melinda J Carrington, Simon Stewart, NIL-CHF Study Investigators, Barbora de Courten

13 Citations (Scopus)

Abstract

AimsThe primary objective of the Nurse-led Intervention for Less Chronic Heart Failure (NIL-CHF) Study is to develop a programme of care that cost-effectively prevents the development of chronic heart failure (CHF).MethodsNIL-CHF is a randomized controlled trial of a hybrid, home-and clinic-based, nurse-led multidisciplinary intervention targeting hospitalized patients at risk of developing CHF. A target of 750 patients aged ≥45 years will be exposed to usual post-discharge care or the NIL-CHF intervention. The composite primary endpoint is all-cause mortality or CHF-related admission during 3-5 years of follow-up. After 12 months recruitment, ∼300 eligible patients (40 of target) have been randomized. Overall, 73 are male and the mean age is 65 ± 10 years. The most common antecedents for CHF thus far are hypertension (70, 95 CI, 64-75), coronary artery disease (51, 95 CI, 31-41), and type 2 diabetes (26, 95 CI, 21-31), whereas 76 (95 CI, 69-82) of patients have diastolic dysfunction, 29 (95 CI, 23-36) left ventricular hypertrophy, 71 (95 CI, 64-78) mitral valve dysfunction, and 7 (95 CI, 4-12) have a left ventricular ejection fraction ≤45.ConclusionAs one of the largest randomized studies of its kind, NIL-CHF will ultimately provide important insights into the potential to prevent CHF via prolonged and intensive disease management.

Original languageEnglish
JournalEuropean Journal of Heart Failure
Volume12
Issue number1
Pages (from-to)82-8
Number of pages7
ISSN1388-9842
DOIs
Publication statusPublished - 1 Jan 2010

Keywords

  • Aged
  • Chronic Disease
  • Clinical Protocols
  • Female
  • Follow-Up Studies
  • Heart Failure
  • Humans
  • Male
  • Middle Aged
  • Nurse's Practice Patterns
  • Patient Care Team
  • Practice Guidelines as Topic
  • Research Design
  • Survival Analysis

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