• Journal of critical care · Apr 2017

    Sepsis in Haiti: Prevalence, treatment, and outcomes in a Port-au-Prince referral hospital.

    • Alfred Papali, Avelino C Verceles, Marc E Augustin, L Nathalie Colas, Carl H Jean-Francois, Devang M Patel, Nevins W Todd, Michael T McCurdy, T Eoin West, and Haiti REsource Limited Intensive Care (Haiti-RELIC) Study Group.
    • Division of Pulmonary & Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Institute for Global Health, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: apapali@medicine.umaryland.edu.
    • J Crit Care. 2017 Apr 1; 38: 35-40.

    PurposeDeveloping countries carry the greatest burden of sepsis, yet few descriptive data exist from the Western Hemisphere. We conducted a retrospective cohort study to elucidate the presentation, treatment, and outcomes of sepsis at an urban referral hospital in Port-au-Prince, Haiti.Materials And MethodsWe studied all adult emergency department patient encounters from January through March 2012. We characterized presentation, management, and outcomes using univariable and multivariable analyses.ResultsOf 1078 adult patients, 224 (20.8%) had sepsis and 99 (9.2%) had severe sepsis. In-hospital mortality for severe sepsis was 24.2%. Encephalopathy was a predictor of intravenous fluid administration (adjusted odds ratio [OR], 5.63; 95% confidence interval [CI], 1.46-21.76; P=.01), and lower blood pressures predicted shorter time to fluid administration. Increasing temperature and lower blood pressures predicted antibiotic administration. Encephalopathy at presentation (adjusted OR, 6.92; 95% CI, 1.94-24.64; P=.003), oxygen administration (adjusted OR, 15.96; 95% CI, 3.05-83.59; P=.001), and stool microscopy (adjusted OR, 45.84; 95% CI, 1.43-1469.34; P=.03) predicted death in severe sepsis patients.ConclusionsThis is the first descriptive study of sepsis in Haiti. Our findings contribute to the knowledge base of global sepsis and reveal similarities in independent predictors of mortality between high- and low-income countries.Copyright © 2016 Elsevier Inc. All rights reserved.

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