| Title |
Prevalence of cachexia in chronic heart failure and characteristics of body composition and metabolic status
|
|---|---|
| Published in |
Endocrine, November 2012
|
| DOI | 10.1007/s12020-012-9836-3 |
| Pubmed ID | |
| Authors |
Heidi Marie Christensen, Caroline Kistorp, Morten Schou, Niels Keller, Bo Zerahn, Jan Frystyk, Peter Schwarz, Jens Faber |
| Abstract |
The prevalence of cardiac cachexia has previously been estimated to 8-42 %. However, novel treatment strategies for chronic heart failure (CHF) have improved and decreased morbidity and mortality. Therefore, we aimed to reassess the prevalence of cachexia in an outpatient CHF clinic and to characterize a CHF population with and without cachexia with respect to body composition and related biomarkers. From 2008 to 2011, we screened 238 optimally treated, non-diabetic CHF patients for cardiac cachexia, defined as unintentional non-oedematous weight loss of >5 % over ≥6 months. CHF patients (LVEF <45 %) with cachexia (n = 19) and without (n = 19) were compared to controls with prior myocardial infarction and left ventricular ejection fraction (LVEF) >45 % (n = 19). The groups were matched for age, sex, and kidney function. Body composition was assessed by dual energy X-ray absorptiometry. The prevalence of cachexia was 10.5 %. Abdominal fat ± SD (%) was reduced in cachectic CHF: 27.4 ± 10.0 versus 37.5 ± 10.6 % (CHF, no cachexia) and 40.6 ± 8.0 % (controls), (P < 0.001). NT-proBNP levels were inversely correlated to abdominal fat in a multivariate linear regression analysis adjusted for known predictors of NT-proBNP (LVEF and NYHA); (β = -0.28; P = 0.018). Myostatin levels were reduced in cachectic CHF compared to controls (P = 0.013). The prevalence of cachexia in stable CHF, treated according to recent guidelines, is lower than previously anticipated. Body alterations in cachexia consist mainly of reduced abdominal fat mass, and its inverse correlation to NT-proBNP suggests involvement of abdominal lipolysis. Our data do not support a role of circulating myostatin as a biomarker for muscle wasting. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 21% |
| Student > Ph. D. Student | 13 | 15% |
| Other | 9 | 10% |
| Student > Postgraduate | 9 | 10% |
| Researcher | 8 | 9% |
| Other | 9 | 10% |
| Unknown | 20 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 51% |
| Nursing and Health Professions | 6 | 7% |
| Agricultural and Biological Sciences | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Sports and Recreations | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 23 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2012.
All research outputs
#15,206,779
of 22,687,320 outputs
Outputs from Endocrine
#930
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Outputs of similar age
#177,620
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Outputs of similar age from Endocrine
#7
of 15 outputs
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