Source:http://linkedlifedata.com/resource/pubmed/id/20226544
Switch to
| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions |
umls-concept:C0001779,
umls-concept:C0001792,
umls-concept:C0018799,
umls-concept:C0030705,
umls-concept:C0054015,
umls-concept:C0079399,
umls-concept:C0086045,
umls-concept:C0205369,
umls-concept:C0220901,
umls-concept:C0348026,
umls-concept:C0392209,
umls-concept:C1522609,
umls-concept:C1554112,
umls-concept:C1704440,
umls-concept:C1848822
|
| pubmed:issue |
1
|
| pubmed:dateCreated |
2010-12-3
|
| pubmed:abstractText |
Confirming the presence of heart failure (HF) in geriatric patients is made difficult by the overlapping symptoms with other diseases and by limited access to investigative techniques such as echography, and the clinical signs are either non-constant or difficult to interpret. In this context, BNP measurement could prove highly useful. We determined a cut-off value of BNP for diagnosing HF in geriatric patients and gauged its predictive power in terms of cardiovascular events, dependence and death within a 6-month timeframe. This clinical and biological study was performed in patients, 44 women and 20 men, age>65 years with suspected HF hospitalized in the geriatric unit at Emile-Roux hospital. Echography was performed at baseline examination. BNP concentrations were determined at baseline examination and at 2 and 6 months later. Renal function was assessed via the Cockroft-Gault formula. Nutritional status was assessed using the geriatric nutritional risk index (GNRI). Final reference diagnosis was established by both cardiologist and geriatrician. The diagnostic value of BNP was assessed by area under the ROC curve. The average age of the 64 patients was 84.3±7.4 years. The final diagnosis was HF in 26 patients (41%). A BNP<129pg/ml had a negative predictive value of 90% (accuracy 80%) for excluding the diagnosis of HF. BNP values were predictive of cardiovascular events over a 2-month timeframe in patients with HF and over a 6-month timeframe in the global population. BNP values were not predictive of mortality in patients with or without HF. BNP testing should help to differentiate pulmonary from cardiac etiologies of dyspnea, but a specific cut-off point has to be used in geriatric settings, mainly for patients presenting nutritional and renal dysfunctions.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:issn |
1872-6976
|
| pubmed:author | |
| pubmed:copyrightInfo |
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
|
| pubmed:issnType |
Electronic
|
| pubmed:volume |
52
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
106-10
|
| pubmed:meshHeading |
pubmed-meshheading:20226544-Age Factors,
pubmed-meshheading:20226544-Aged,
pubmed-meshheading:20226544-Aged, 80 and over,
pubmed-meshheading:20226544-Blood Pressure,
pubmed-meshheading:20226544-Body Mass Index,
pubmed-meshheading:20226544-C-Reactive Protein,
pubmed-meshheading:20226544-Creatinine,
pubmed-meshheading:20226544-Echocardiography,
pubmed-meshheading:20226544-Female,
pubmed-meshheading:20226544-Heart Diseases,
pubmed-meshheading:20226544-Humans,
pubmed-meshheading:20226544-Kidney Diseases,
pubmed-meshheading:20226544-Male,
pubmed-meshheading:20226544-Natriuretic Peptide, Brain,
pubmed-meshheading:20226544-Nutrition Assessment,
pubmed-meshheading:20226544-Nutritional Status,
pubmed-meshheading:20226544-Prognosis,
pubmed-meshheading:20226544-Sensitivity and Specificity,
pubmed-meshheading:20226544-Serum Albumin,
pubmed-meshheading:20226544-Sex Factors,
pubmed-meshheading:20226544-Statistics, Nonparametric,
pubmed-meshheading:20226544-Stroke Volume
|
| pubmed:articleTitle |
Diagnostic and prognostic value of brain natriuretic peptide (BNP) concentrations in very elderly heart disease patients: specific geriatric cut-off and impacts of age, gender, renal dysfunction, and nutritional status.
|
| pubmed:affiliation |
Laboratoire de Biologie, Hôpital Emile-Roux, Assistance Publique Hôpitaux de Paris, 1 avenue de Verdun, 94456 Limeil-Brévannes, France. francoise.blonde@erx.aphp.fr
|
| pubmed:publicationType |
Journal Article
|