@article{297b6ac568f248308b6c33b00fe6ae54,
title = "Quantifying the effects of prior acetyl-salicylic acid on sepsis-related deaths: An individual patient data meta-analysis using propensity matching",
abstract = "Objective: The primary objective was to conduct a meta-analysis on published observational cohort data describing the association between acetyl-salicylic acid (aspirin) use prior to the onset of sepsis and mortality in hospitalized patients. Study Selection: Studies that reported mortality in patients on aspirin with sepsis with a comparison group of patients with sepsis not on prior aspirin therapy were included. Data Sources: Fifteen studies described hospital-based cohorts (n = 17,065), whereas one was a large insurance-based database (n = 683,421). Individual-level patient data were incorporated from all selected studies. Data Extraction: Propensity analyses with 1:1 propensity score matching at the study level were performed, using the most consistently available covariates judged to be associated with aspirin. Meta-analyses were performed to estimate the pooled average treatment effect of aspirin on sepsis-related mortality. Data Synthesis: Use of aspirin was associated with a 7% (95% CI, 2-12%; p = 0.005) reduction in the risk of death as shown by meta-analysis with considerable statistical heterogeneity (I2 = 61.6%). Conclusions: These results are consistent with effects ranging from a 2% to 12% reduction in mortality risk in patients taking aspirin prior to sepsis onset. This association anticipates results of defnitive studies of the use of low-dose aspirin as a strategy for reduction of deaths in patients with sepsis.",
keywords = "Acetyl-salicylic acid, Aspirin, Death, Mortality, Sepsis",
author = "James Trauer and Stephen Muhi and McBryde, {Emma S.} and {Al Harbi}, {Shmeylan A.} and Arabi, {Yaseen M.} and Boyle, {Andrew J.} and Rodrigo Cartin-Ceba and Wei Chen and Chen, {Yung Tai} and Marco Falcone and Ognjen Gajic and Jack Godsell and Gong, {Michelle Ng} and Daryl Kor and Wolfgang L{\"o}sche and McAuley, {Daniel F.} and O'Neal, {Hollis R.} and Michael Osthoff and Otto, {Gordon P.} and Maik Sossdorf and Tsai, {Min Juei} and Valerio-Rojas, {Juan C.} and {Van Der Poll}, Tom and Francesco Violi and Lorraine Ware and Widmer, {Andreas F.} and Wiewel, {Maryse A.} and Johannes Winning and Eisen, {Damon P.}",
note = "Funding Information: Drs. Gong, Kor, O{\textquoteright}Neal, and Ware received support for article research from the National Institutes of Health (NIH). Dr. Gong{\textquoteright}s institution received funding from the National Heart, Lung, and Blood Institute. Dr. Kor{\textquoteright}s institution received funding from the NIH, and he disclosed off-label product use of aspirin. Dr. McAuley received funding from Peptinnovate, Bayer, GlaxoSmith-Kline, Boehringer Ingelheim (consulting). Outside the submitted work, his institution has received funds from grants from the U.K. National Institute for Health Research and others, and he is one of the four named inventors on a patent US8962032 covering the use of sialic acid–bearing nanoparticles as anti-inflammatory agents issued to his institution, The Queen{\textquoteright}s University of Belfast (http://www.google.com/patents/US8962032). Dr. Osthoff{\textquoteright}s institution received funding from Pharming Technologies B.V. Dr. Ware{\textquoteright}s Funding Information: institution received funding from the NIH, Boehringer Ingelheim, and Global Blood Therapeutics. Dr. Winning disclosed off-label product use of aspirin. The remaining authors have disclosed that they do not have any potential conflicts of interest. For information regarding this article, E-mail: damon.eisen@jcu.edu.au Publisher Copyright: {\textcopyright} Copyright 2017 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.",
year = "2017",
month = nov,
doi = "10.1097/CCM.0000000000002654",
language = "English (US)",
volume = "45",
pages = "1871--1879",
journal = "Critical Care Medicine",
issn = "0090-3493",
publisher = "Lippincott Williams and Wilkins",
number = "11",
}