Dataset Information

Azithromycin use and outcomes in severe sepsis patients with and without pneumonia.

ABSTRACT: Studies investigating the association between macrolides and outcomes in both pulmonary and nonpulmonary critically ill patients are limited. We aimed to examine the association between azithromycin use and clinical outcomes in severe sepsis patients with and without pneumonia receiving mechanical ventilation.A retrospective cohort of 105 patients admitted to an adult intensive care unit (ICU) with severe sepsis in an urban university hospital were included in the study. Multivariable linear regression was performed to assess the relationship between azithromycin use and the following outcomes: 28-day ICU-free days and 28-day ventilator-free days.In univariate analysis, patients receiving azithromycin had nearly 6 more ICU-free days on average than did patients not receiving azithromycin (P = .005). The increased ICU-free days remained in multivariable analysis adjusting for age, sex, race, ICU type, and presence of shock (P = .005). In stratified analysis examining the association of azithromycin use in severe sepsis patients without pneumonia (n = 74), the results were similar to the full cohort.Azithromycin was associated with more ICU-free days in severe sepsis patients with and without pneumonia. Further investigations are warranted to better elicit the association of macrolide use on clinical outcomes in severe sepsis patients, especially those without pneumonia.

SUBMITTER: Afshar M

PROVIDER: S-EPMC4769933 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Azithromycin use and outcomes in severe sepsis patients with and without pneumonia.

Afshar Majid M Foster Clayton L CL Layden Jennifer E JE Burnham Ellen L EL

Journal of critical care 20151221

<h4>Purpose</h4>Studies investigating the association between macrolides and outcomes in both pulmonary and nonpulmonary critically ill patients are limited. We aimed to examine the association between azithromycin use and clinical outcomes in severe sepsis patients with and without pneumonia receiving mechanical ventilation.<h4>Materials and methods</h4>A retrospective cohort of 105 patients admitted to an adult intensive care unit (ICU) with severe sepsis in an urban university hospital were i ...[more]

PMID: 26803186

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Project description:IntroductionSince the launch of drotrecogin alfa activated (DrotAA), institutions and individual countries have published data on its use in clinical practice, based on audit or registry data. These studies were limited in size and geographic locale and included patients with greater disease severity and higher mortality than those in clinical trials. The purpose of this study was to compare baseline characteristics and clinical outcomes (using appropriate statistical adjustments) of patients treated or not treated with DrotAA from the international PROGRESS (Promoting Global Research Excellence in Severe Sepsis) cohort study of severe sepsis.MethodsPROGRESS was a global, non-interventional, multi-center, prospective, observational study of patients having a diagnosis of severe sepsis treated in intensive care units at a participating institution. All treatment modalities were as per standard of care at the participating institutions. Baseline characteristics and hospital mortality were analyzed and regression techniques used to develop propensity and outcome models adjusted for baseline imbalances between groups.ResultsOverall, 14,543 patients from 37 countries were enrolled and 12,492 had complete data for analysis. Germany was the highest enrolling country (1,810; 14.5%) and the US had the most DrotAA patients (206, 23.3%); 882 (7%) overall received DrotAA therapy. DrotAA-treated patients were younger (median age 58 vs. 61 years), had greater organ dysfunction (cardiovascular: 90% vs. 74%; respiratory: 90% vs. 81%; renal: 60% vs. 45%; metabolic: 63% versus 42%; 3 or more organ dysfunctions: 84% vs. 67%) and had a higher median APACHE II score (26 vs. 23, all with P < 0.001). Although in-hospital mortality was similar for DrotAA and non-DrotAA-treated patients (49.6% vs. 49.7%, respectively), after adjusting for imbalances, patients receiving DrotAA had a 28% (0.60 to 0.86, 95% Confidence Intervals) reduction in the odds of death and a relative risk reduction of 17% (P = 0.0003).ConclusionsIn the PROGRESS registry, DrotAA-treated patients were younger, more severely ill, and had fewer co-morbidities than patients not treated with DrotAA. After adjustment for group differences, a significant reduction in the odds of death was observed for patients that received DrotAA compared with those that did not.

Project description:IntroductionSepsis is the leading cause of death in critically ill patients and often affects individuals with community-acquired pneumonia. To overcome the limitations of earlier mathematical models used to describe sepsis and predict outcomes, we designed an empirically based Monte Carlo model that simulates the progression of sepsis in hospitalized patients over a 30-day period.MethodsThe model simulates changing health over time, as represented by the Sepsis-related Organ Failure Assessment (SOFA) score, as a function of a patient's previous health state and length of hospital stay. We used data from patients enrolled in the GenIMS (Genetic and Inflammatory Markers of Sepsis) study to calibrate the model, and tested the model's ability to predict deaths, discharges, and daily SOFA scores over time using different algorithms to estimate the natural history of sepsis. We evaluated the stability of the methods using bootstrap sampling techniques.ResultsOf the 1,888 patients originally enrolled, most were elderly (mean age 67.77 years) and white (80.72%). About half (47.98%) were female. Most were relatively ill, with a mean Acute Physiology and Chronic Health Evaluation III score of 56 and Pneumonia Severity Index score of 73.5. The model's estimates of the daily pattern of deaths, discharges, and SOFA scores over time were not statistically different from the actual pattern when information about how long patients had been ill was included in the model (P = 0.91 to 0.98 for discharges; P = 0.26 to 0.68 for deaths). However, model estimates of these patterns were different from the actual pattern when the model did not include data on the duration of illness (P < 0.001 for discharges; P = 0.001 to 0.040 for deaths). Model results were stable to bootstrap validation.ConclusionAn empiric simulation model of sepsis can predict complex longitudinal patterns in the progression of sepsis, most accurately by models that contain data representing both organ-system levels of and duration of illness. This work supports the incorporation into mathematical models of disease of the clinical intuition that the history of disease in an individual matters, and represents an advance over several prior simulation models that assume a constant rate of disease progression.

Dataset Information

Azithromycin use and outcomes in severe sepsis patients with and without pneumonia.

Publications

Azithromycin use and outcomes in severe sepsis patients with and without pneumonia.

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