The effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis.
<h4>Background</h4>The best catecholamine regimen for cardiogenic shock has been poorly evaluated. When a vasopressor is required to treat patients with the most severe form of cardiogenic shock, whether inodilators should be added or whether inopressors can be used alone has not been es...
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2013
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oai:doaj.org-article:baef87c834574cb586b2389c6ab2b64d2021-11-18T08:59:24ZThe effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis.1932-620310.1371/journal.pone.0071659https://doaj.org/article/baef87c834574cb586b2389c6ab2b64d2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23977106/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>The best catecholamine regimen for cardiogenic shock has been poorly evaluated. When a vasopressor is required to treat patients with the most severe form of cardiogenic shock, whether inodilators should be added or whether inopressors can be used alone has not been established. The purpose of this study was to compare the impact of these two strategies on short-term mortality in patients with severe cardiogenic shocks.<h4>Methods and results</h4>Three observational cohorts of patients with decompensated heart failure were pooled to comprise a total of 1,272 patients with cardiogenic shocks. Of these 1,272 patients, 988 were considered to be severe because they required a vasopressor during the first 24 hours. We developed a propensity-score (PS) model to predict the individual probability of receiving one of the two regimens (inopressors alone or a combination) conditionally on baseline-measured covariates. The benefit of the treatment regimen on the mortality rate was estimated by fitting a weighted Cox regression model. A total of 643 patients (65.1%) died within the first 30 days (inopressors alone: 293 (72.0%); inopressors and inodilators: 350 (60.0%)). After PS weighting, we observed that the use of an inopressor plus an inodilator was associated with an improved short-term mortality (HR: 0.66 [0.55-0.80]) compared to inopressors alone.<h4>Conclusions</h4>In the most severe forms of cardiogenic shock where a vasopressor is immediately required, adding an inodilator may improve short-term mortality. This result should be confirmed in a randomized, controlled trial.Romain PirracchioJiri ParenicaMatthieu Resche RigonSylvie ChevretJindrich SpinarJiri JarkovskyFaiez ZannadFrançois AllaAlexandre MebazaaGREAT networkPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 8, p e71659 (2013) |
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Medicine R Science Q Romain Pirracchio Jiri Parenica Matthieu Resche Rigon Sylvie Chevret Jindrich Spinar Jiri Jarkovsky Faiez Zannad François Alla Alexandre Mebazaa GREAT network The effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis. |
| description |
<h4>Background</h4>The best catecholamine regimen for cardiogenic shock has been poorly evaluated. When a vasopressor is required to treat patients with the most severe form of cardiogenic shock, whether inodilators should be added or whether inopressors can be used alone has not been established. The purpose of this study was to compare the impact of these two strategies on short-term mortality in patients with severe cardiogenic shocks.<h4>Methods and results</h4>Three observational cohorts of patients with decompensated heart failure were pooled to comprise a total of 1,272 patients with cardiogenic shocks. Of these 1,272 patients, 988 were considered to be severe because they required a vasopressor during the first 24 hours. We developed a propensity-score (PS) model to predict the individual probability of receiving one of the two regimens (inopressors alone or a combination) conditionally on baseline-measured covariates. The benefit of the treatment regimen on the mortality rate was estimated by fitting a weighted Cox regression model. A total of 643 patients (65.1%) died within the first 30 days (inopressors alone: 293 (72.0%); inopressors and inodilators: 350 (60.0%)). After PS weighting, we observed that the use of an inopressor plus an inodilator was associated with an improved short-term mortality (HR: 0.66 [0.55-0.80]) compared to inopressors alone.<h4>Conclusions</h4>In the most severe forms of cardiogenic shock where a vasopressor is immediately required, adding an inodilator may improve short-term mortality. This result should be confirmed in a randomized, controlled trial. |
| format |
article |
| author |
Romain Pirracchio Jiri Parenica Matthieu Resche Rigon Sylvie Chevret Jindrich Spinar Jiri Jarkovsky Faiez Zannad François Alla Alexandre Mebazaa GREAT network |
| author_facet |
Romain Pirracchio Jiri Parenica Matthieu Resche Rigon Sylvie Chevret Jindrich Spinar Jiri Jarkovsky Faiez Zannad François Alla Alexandre Mebazaa GREAT network |
| author_sort |
Romain Pirracchio |
| title |
The effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis. |
| title_short |
The effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis. |
| title_full |
The effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis. |
| title_fullStr |
The effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis. |
| title_full_unstemmed |
The effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis. |
| title_sort |
effectiveness of inodilators in reducing short term mortality among patient with severe cardiogenic shock: a propensity-based analysis. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2013 |
| url |
https://doaj.org/article/baef87c834574cb586b2389c6ab2b64d |
| work_keys_str_mv |
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