Dataset Information

Cytokines and signaling molecules predict clinical outcomes in sepsis.

ABSTRACT:

Introduction

Inflammatory response during sepsis is incompletely understood due to small sample sizes and variable timing of measurements following the onset of symptoms. The vasopressin in septic shock trial (VASST) compared the addition of vasopressin to norepinephrine alone in patients with septic shock. During this study plasma was collected and 39 cytokines measured in a 363 patients at both baseline (before treatment) and 24 hours. Clinical features relating to both underlying health and the acute organ dysfunction induced by the severe infection were collected during the first 28 days of admission.

Hypothesis

Cluster analysis of cytokines identifies subgroups of patients at differing risk of death and organ failure.

Methods

Circulating cytokines and other signaling molecules were measured using a Luminex multi-bead analyte detection system. Hierarchical clustering was performed on plasma values to create patient subgroups. Enrichment analysis identified clinical outcomes significantly different according to these chemically defined patient subgroups. Logistic regression was performed to assess the importance of cytokines for predicting patient subgroups.

Results

Plasma levels at baseline produced three subgroups of patients, while 24 hour levels produced two subgroups. Using baseline cytokine data, one subgroup of 47 patients showed a high level of enrichment for severe septic shock, coagulopathy, renal failure, and risk of death. Using data at 24 hours, a larger subgroup of 81 patients that largely encompassed the 47 baseline subgroup patients had a similar enrichment profile. Measurement of two cytokines, IL2 and CSF2 and their product were sufficient to classify patients into these subgroups that defined clinical risks.

Conclusions

A distinct pattern of cytokine levels measured early in the course of sepsis predicts disease outcome. Subpopulations of patients have differing clinical outcomes that can be predicted accurately from small numbers of cytokines. Design of clinical trials and interventions may benefit from consideration of cytokine levels.

SUBMITTER: Fjell CD

PROVIDER: S-EPMC3828333 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

Cytokines and signaling molecules predict clinical outcomes in sepsis.

Fjell Christopher D CD Thair Simone S Hsu Joseph L JL Walley Keith R KR Russell James A JA Boyd John J

PloS one 20131114 11

<h4>Introduction</h4>Inflammatory response during sepsis is incompletely understood due to small sample sizes and variable timing of measurements following the onset of symptoms. The vasopressin in septic shock trial (VASST) compared the addition of vasopressin to norepinephrine alone in patients with septic shock. During this study plasma was collected and 39 cytokines measured in a 363 patients at both baseline (before treatment) and 24 hours. Clinical features relating to both underlying heal ...[more]

PMID: 24244449

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Project description:ARDS may occur after either septic or nonseptic injuries. Sepsis is the major cause of ARDS, but little is known about the differences between sepsis-related and non-sepsis-related ARDS.A total of 2,786 patients with ARDS-predisposing conditions were enrolled consecutively into a prospective cohort, of which 736 patients developed ARDS. We defined sepsis-related ARDS as ARDS developing in patients with sepsis and non-sepsis-related ARDS as ARDS developing after nonseptic injuries, such as trauma, aspiration, and multiple transfusions. Patients with both septic and nonseptic risks were excluded from analysis.Compared with patients with non-sepsis-related ARDS (n = 62), patients with sepsis-related ARDS (n = 524) were more likely to be women and to have diabetes, less likely to have preceding surgery, and had longer pre-ICU hospital stays and higher APACHE III (Acute Physiology and Chronic Health Evaluation III) scores (median, 78 vs 65, P < .0001). There were no differences in lung injury score, blood pH, Pao(2)/Fio(2) ratio, and Paco(2) on ARDS diagnosis. However, patients with sepsis-related ARDS had significantly lower Pao(2)/Fio(2) ratios than patients with non-sepsis-related ARDS patients on ARDS day 3 (P = .018), day 7 (P = .004), and day 14 (P = .004) (repeated-measures analysis, P = .011). Compared with patients with non-sepsis-related ARDS, those with sepsis-related had a higher 60-day mortality (38.2% vs 22.6%; P = .016), a lower successful extubation rate (53.6% vs 72.6%; P = .005), and fewer ICU-free days (P = .0001) and ventilator-free days (P = .003). In multivariate analysis, age, APACHE III score, liver cirrhosis, metastatic cancer, admission serum bilirubin and glucose levels, and treatment with activated protein C were independently associated with 60-day ARDS mortality. After adjustment, sepsis-related ARDS was no longer associated with higher 60-day mortality (hazard ratio, 1.26; 95% CI, 0.71-2.22).Sepsis-related ARDS has a higher overall disease severity, poorer recovery from lung injury, lower successful extubation rate, and higher mortality than non-sepsis-related ARDS. Worse clinical outcomes in sepsis-related ARDS appear to be driven by disease severity and comorbidities.

Dataset Information

Cytokines and signaling molecules predict clinical outcomes in sepsis.

Introduction

Hypothesis

Methods

Results

Conclusions

Publications

Cytokines and signaling molecules predict clinical outcomes in sepsis.

Similar Datasets

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