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Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates

PURPOSE: Although the definition of septic shock has been standardized, some variation in mortality rates among clinical trials is expected. Insights into the sources of heterogeneity may influence the design and interpretation of septic shock studies. We set out to identify inclusion criteria and b...

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Autores principales: de Grooth, Harm-Jan, Postema, Jonne, Loer, Stephan A., Parienti, Jean-Jacques, Oudemans-van Straaten, Heleen M., Girbes, Armand R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861172/
https://www.ncbi.nlm.nih.gov/pubmed/29546535
http://dx.doi.org/10.1007/s00134-018-5134-8
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author de Grooth, Harm-Jan
Postema, Jonne
Loer, Stephan A.
Parienti, Jean-Jacques
Oudemans-van Straaten, Heleen M.
Girbes, Armand R.
author_facet de Grooth, Harm-Jan
Postema, Jonne
Loer, Stephan A.
Parienti, Jean-Jacques
Oudemans-van Straaten, Heleen M.
Girbes, Armand R.
author_sort de Grooth, Harm-Jan
collection PubMed
description PURPOSE: Although the definition of septic shock has been standardized, some variation in mortality rates among clinical trials is expected. Insights into the sources of heterogeneity may influence the design and interpretation of septic shock studies. We set out to identify inclusion criteria and baseline characteristics associated with between-trial differences in control group mortality rates. METHODS: We conducted a systematic review of RCTs published between 2006 and 2018 that included patients with septic shock. The percentage of variance in control-group mortality attributable to study heterogeneity rather than chance was measured by I(2). The association between control-group mortality and population characteristics was estimated using linear mixed models and a recursive partitioning algorithm. RESULTS: Sixty-five septic shock RCTs were included. Overall control-group mortality was 38.6%, with significant heterogeneity (I(2) = 93%, P < 0.0001) and a 95% prediction interval of 13.5–71.7%. The mean mortality rate did not differ between trials with different definitions of hypotension, infection or vasopressor or mechanical ventilation inclusion criteria. Population characteristics univariately associated with mortality rates were mean Sequential Organ Failure Assessment score (standardized regression coefficient (β) = 0.57, P = 0.007), mean serum creatinine (β = 0.48, P = 0.007), the proportion of patients on mechanical ventilation (β = 0.61, P < 0.001), and the proportion with vasopressors (β = 0.57, P = 0.002). Combinations of population characteristics selected with a linear model and recursive partitioning explained 41 and 42%, respectively, of the heterogeneity in mortality rates. CONCLUSIONS: Among 65 septic shock trials, there was a clinically relevant amount of heterogeneity in control group mortality rates which was explained only partly by differences in inclusion criteria and reported baseline characteristics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-018-5134-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-58611722018-03-22 Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates de Grooth, Harm-Jan Postema, Jonne Loer, Stephan A. Parienti, Jean-Jacques Oudemans-van Straaten, Heleen M. Girbes, Armand R. Intensive Care Med Systematic Review PURPOSE: Although the definition of septic shock has been standardized, some variation in mortality rates among clinical trials is expected. Insights into the sources of heterogeneity may influence the design and interpretation of septic shock studies. We set out to identify inclusion criteria and baseline characteristics associated with between-trial differences in control group mortality rates. METHODS: We conducted a systematic review of RCTs published between 2006 and 2018 that included patients with septic shock. The percentage of variance in control-group mortality attributable to study heterogeneity rather than chance was measured by I(2). The association between control-group mortality and population characteristics was estimated using linear mixed models and a recursive partitioning algorithm. RESULTS: Sixty-five septic shock RCTs were included. Overall control-group mortality was 38.6%, with significant heterogeneity (I(2) = 93%, P < 0.0001) and a 95% prediction interval of 13.5–71.7%. The mean mortality rate did not differ between trials with different definitions of hypotension, infection or vasopressor or mechanical ventilation inclusion criteria. Population characteristics univariately associated with mortality rates were mean Sequential Organ Failure Assessment score (standardized regression coefficient (β) = 0.57, P = 0.007), mean serum creatinine (β = 0.48, P = 0.007), the proportion of patients on mechanical ventilation (β = 0.61, P < 0.001), and the proportion with vasopressors (β = 0.57, P = 0.002). Combinations of population characteristics selected with a linear model and recursive partitioning explained 41 and 42%, respectively, of the heterogeneity in mortality rates. CONCLUSIONS: Among 65 septic shock trials, there was a clinically relevant amount of heterogeneity in control group mortality rates which was explained only partly by differences in inclusion criteria and reported baseline characteristics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-018-5134-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-03-15 2018 /pmc/articles/PMC5861172/ /pubmed/29546535 http://dx.doi.org/10.1007/s00134-018-5134-8 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Systematic Review
de Grooth, Harm-Jan
Postema, Jonne
Loer, Stephan A.
Parienti, Jean-Jacques
Oudemans-van Straaten, Heleen M.
Girbes, Armand R.
Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates
title Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates
title_full Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates
title_fullStr Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates
title_full_unstemmed Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates
title_short Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates
title_sort unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861172/
https://www.ncbi.nlm.nih.gov/pubmed/29546535
http://dx.doi.org/10.1007/s00134-018-5134-8
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