| Title |
ECG in patients with acute heart failure can predict in-hospital and long-term mortality
|
|---|---|
| Published in |
Internal and Emergency Medicine, October 2012
|
| DOI | 10.1007/s11739-012-0862-1 |
| Pubmed ID | |
| Authors |
Jan Václavík, Jindřich Špinar, David Vindiš, Jiří Vítovec, Petr Widimský, Čestmír Číhalík, Aleš Linhart, Filip Málek, Miloš Táborský, Ladislav Dušek, Jiří Jarkovský, Marián Fedorco, Marián Felšöci, Roman Miklík, Jiří Pařenica |
| Abstract |
Initial risk stratification in patients with acute heart failure (AHF) is poorly validated. Previous studies tended to evaluate the prognostic significance of only one or two selected ECG parameters. The aim of this study was to evaluate the impact of multiple ECG parameters on mortality in AHF. The Acute Heart Failure Database (AHEAD) registry collected data from 4,153 patients admitted for AHF to seven hospitals with Catheter Laboratory facilities. Clinical variables, heart rate, duration of QRS, QT and QTC intervals, type of rhythm and ST-T segment changes on admission were collected in a web-based database. 12.7 % patients died during hospitalisation, the remainder were discharged and followed for a median of 16.2 months. The most important parameters were a prolonged QRS and a junctional rhythm, which independently predict both in-hospital mortality [QRS > 100 ms, odds ratio (OR) 1.329, 95 % CI 1.052-1.680; junctional rhythm, OR 3.715, 95 % CI 1.748-7.896] and long-term mortality (QRS > 120 ms, OR 1.428, 95 % CI 1.160-1.757; junctional rhythm, OR 2.629, 95 % CI 1.538-4.496). Increased hospitalisation mortality is predicted by ST segment elevation (OR 1.771, 95 % CI 1.383-2.269) and prolonged QTC interval >475 ms (OR 1.483, 95 % CI 1.016-2.164). Presence of atrial fibrillation and bundle branch block is associated with increased unadjusted long-term mortality, but mostly reflects more advanced heart disease, and their predictive significance is attenuated in the multivariate analysis. ECG in patients admitted for acute heart failure carries significant short- and long-term prognostic information, and should be carefully evaluated. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Postgraduate | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 53% |
| Engineering | 3 | 10% |
| Agricultural and Biological Sciences | 1 | 3% |
| Unspecified | 1 | 3% |
| Unknown | 9 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 April 2014.
All research outputs
#18,370,767
of 22,753,345 outputs
Outputs from Internal and Emergency Medicine
#692
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Outputs of similar age
#130,959
of 172,732 outputs
Outputs of similar age from Internal and Emergency Medicine
#6
of 11 outputs
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