Cited by 294Heart Failure Treatment and ManagementDiabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Function and Risk Factors

Impaired insulin sensitivity as an independent risk factor for mortality in patients with stable chronic heart failure

Open access
Doehner, Wolfram, Rauchhaus, Mathias, Ponikowski, Piotr, Godsland, Ian F., von Haehling, Stephan, Okonko, Darlington O., Leyva, Francisco, Proudler, Anthony J. +2 more·2005·Journal of the American College of Cardiology

Abstract

Objectives The aim of this study was to determine the significance of insulin resistance as an independent risk factor for impaired prognosis in patients with chronic heart failure (CHF).Background In CHF, impaired insulin sensitivity (S(I)) indicates abnormal energy metabolism and is related to decreased exercise capacity and muscle fatigue. The relationship between insulin resistance (i.e., low S(I)) and survival in patients with CHF has not been established.Methods We prospectively studied 105 male patients with CHF due to ischemic (63%) or non-ischemic (37%) etiology. All patients were in clinically stable condition (age 62 +/- 1 year, New York Heart Association [NYHA] functional class 2.6 +/- 0.1, left ventricular ejection fraction [LVEF] 28 +/- 2%, peak oxygen uptake [Vo(2)] 18.2 +/- 0.7 ml/kg/min). Insulin sensitivity was assessed from glucose and insulin dynamic profiles during an intravenous glucose tolerance test using the minimal model technique.Results During a mean follow-up period of 44 +/- 4 months, 53 patients (50%) died. Patients with S(I) below the median value (median: 1.82 min(-1) x microU x ml(-1).10(4); n = 52) had worse survival (at two years 61% [range 47% to 74%]) than patients with S(I) above the median value (n = 53; at two years 83% [range 73% to 93%]; risk ratio [RR] 0.38, 95% confidence interval [CI] 0.21 to 0.67; p = 0.001). Both patient groups were similar in terms of age, NYHA functional class, and body composition parameters (dual-energy X-ray absorptiometric scan; p > 0.2), but patients with a lower S(I) had a lower LVEF (24 +/- 2% vs. 33 +/- 3%) and peak Vo(2) (16.8 +/- 1.0 ml/kg/min vs. 19.7 +/- 1.0 ml/kg/min; both p < 0.05). On univariate Cox analysis, higher S(I) predicted better survival (RR 0.56, 95% CI 0.35 to 0.89; p = 0.015). On stepwise multivariate analysis, S(I) predicted mortality independently of other variables.Conclusions In patients with CHF, lower S(I) relates to higher mortality, independent of body composition and established prognosticators. Impaired S(I) may have implications in the pathophysiology of CHF disease progression. Therapeutically targeting impaired insulin sensitivity may potentially be beneficial in patients with CHF.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jacc.2005.02.093

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Doehner, W., Rauchhaus, M., Ponikowski, P., Godsland, I. F., von Haehling, S., Okonko, D. O., Leyva, F., Proudler, A. J., Coats, A. J. S., & Anker, S. D.
Affiliations
  • Stiftung Charité (DE)
  • Imperial College London (GB)
  • The University of Sydney (AU)
Corresponding author
Doehner, Wolfram
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2005-09
Volume
46
Issue
6
Pages
1019-1026
ISSN
0735-1097 (ISSN-L)
OpenAlex
W2015774467
Cited by
294
References
31
Citations by year
2025: 12 · 2024: 20 · 2023: 10 · 2022: 12 · 2021: 13 · 2020: 11 · 2019: 11 · 2018: 9 · 2017: 12 · 2016: 21 · 2015: 16 · 2014: 15 · 2013: 16 · 2012: 20
FWCI
9.58
Type
journal article
Language
en
Open access
Locations
  • Journal of the American College of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
  • UEA Digital Repository (University of East Anglia) (submittedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
Keywords
insulin sensitivity, insulin resistance, chronic heart failure, mortality risk, prognosis, survival, energy metabolism, exercise capacity, left ventricular ejection fraction, ischemic heart failure, non-ischemic heart failure, intravenous glucose tolerance test, body composition, muscle fatigue, energy expenditure, energy intake, energy balance, lean body mass, fat-free mass
MeSH terms
Chronic Disease, Follow-Up Studies, Heart Failure, Humans, Insulin Resistance, Male, Middle Aged, Prognosis, Prospective Studies, Risk Factors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review