Dataset Information

Prognosis Biomarkers of Severe Sepsis and Septic Shock by 1H NMR Urine Metabolomics in the Intensive Care Unit.

ABSTRACT: Early diagnosis and patient stratification may improve sepsis outcome by a timely start of the proper specific treatment. We aimed to identify metabolomic biomarkers of sepsis in urine by (1)H-NMR spectroscopy to assess the severity and to predict outcomes. Urine samples were collected from 64 patients with severe sepsis or septic shock in the ICU for a (1)H NMR spectra acquisition. A supervised analysis was performed on the processed spectra, and a predictive model for prognosis (30-days mortality/survival) of sepsis was constructed using partial least-squares discriminant analysis (PLS-DA). In addition, we compared the prediction power of metabolomics data respect the Sequential Organ Failure Assessment (SOFA) score. Supervised multivariate analysis afforded a good predictive model to distinguish the patient groups and detect specific metabolic patterns. Negative prognosis patients presented higher values of ethanol, glucose and hippurate, and on the contrary, lower levels of methionine, glutamine, arginine and phenylalanine. These metabolites could be part of a composite biopattern of the human metabolic response to sepsis shock and its mortality in ICU patients. The internal cross-validation showed robustness of the metabolic predictive model obtained and a better predictive ability in comparison with SOFA values. Our results indicate that NMR metabolic profiling might be helpful for determining the metabolomic phenotype of worst-prognosis septic patients in an early stage. A predictive model for the evolution of septic patients using these metabolites was able to classify cases with more sensitivity and specificity than the well-established organ dysfunction score SOFA.

SUBMITTER: Garcia-Simon M

PROVIDER: S-EPMC4643898 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Prognosis Biomarkers of Severe Sepsis and Septic Shock by 1H NMR Urine Metabolomics in the Intensive Care Unit.

Garcia-Simon Monica M Morales Jose M JM Modesto-Alapont Vicente V Gonzalez-Marrachelli Vannina V Vento-Rehues Rosa R Jorda-Miñana Angela A Blanquer-Olivas Jose J Monleon Daniel D

PloS one 20151113 11

Early diagnosis and patient stratification may improve sepsis outcome by a timely start of the proper specific treatment. We aimed to identify metabolomic biomarkers of sepsis in urine by (1)H-NMR spectroscopy to assess the severity and to predict outcomes. Urine samples were collected from 64 patients with severe sepsis or septic shock in the ICU for a (1)H NMR spectra acquisition. A supervised analysis was performed on the processed spectra, and a predictive model for prognosis (30-days mortal ...[more]

PMID: 26565633

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Project description:Procalcitonin (PCT) algorithms for antibiotic treatment decisions have been studied in adult patients from primary care, emergency department, and intensive care unit (ICU) settings, suggesting that procalcitonin-guided therapy may reduce antibiotic exposure without increasing the mortality rate. However, information on the efficacy and safety of this approach in the most vulnerable population of critically ill patients with severe sepsis and septic shock is missing.Two reviewers independently performed a systematic search in PubMed, Embase, ISI Web of Knowledge, BioMed Central, ScienceDirect, Cochrane Central Register of Controlled Trials, http://www.ClinicalTrials.gov and http://www.ISRCTN.org. Eligible studies had to be randomized controlled clinical trials or cohort studies which compare procalcitonin-guided therapy with standard care in severe sepsis patients and report at least one of the following outcomes: hospital mortality, 28-day mortality, duration of antimicrobial therapy, length of stay in the intensive care unit or length of hospital stay. Disagreements about inclusion of studies and judgment of bias were solved by consensus.Finally seven studies comprising a total of 1,075 patients with severe sepsis or septic shock were included in the meta-analysis. Both hospital mortality (RR [relative risk]: 0.91, 95%CI [confidence interval]: 0.61; 1.36) and 28-day mortality (RR: 1.02, 95%CI: 0.85; 1.23) were not different between procalcitonin-guided therapy and standard treatment groups. Duration of antimicrobial therapy was significantly reduced in favor of procalcitonin-guided therapy (HR [hazard ratio]: 1.27, 95%CI: 1.01; 1.53). Combined estimates of the length of stay in the ICU and in hospital did not differ between groups.Procalcitonin-guided therapy is a helpful approach to guide antibiotic therapy and surgical interventions without a beneficial effect on mortality. The major benefit of PCT-guided therapy consists of a shorter duration of antibiotic treatment compared to standard care. Trials are needed to investigate the effect of PCT-guided therapy on mortality, length of ICU and in-hospital stay in severe sepsis patients.

Project description:BackgroundAdvancing age is a strong risk factor for adverse outcomes across multiple disease processes. However, septic surgical and trauma patients are unique in that they incur two or more inflammatory insults. The effects of advanced age on sepsis pathophysiology and outcomes remain unclear.MethodsWe performed a single-center, prospective observational cohort study of surgical intensive care unit patients with severe sepsis/septic shock. Peripheral blood was collected for genomic, cytokine, and biomarker analysis at 0.5 day, 1 day, 4 days, 7 days, 14 days, 21 days, and 28 days after sepsis onset. Based on sensitivity analysis, cohorts were defined as "young" (<55 years) and "aged" (≥55 years). We compared age-defined cohorts to determine differences in patient characteristics, biomarker profiles, and clinical outcomes.ResultsThe cohort included 173 patients with severe sepsis (n = 93; 53.8%) or septic shock (n = 80; 46.2%), with a mean age of 60.9 (±14.5) years. Intra-abdominal sepsis was the leading source (n = 81; 46.8%), followed by necrotizing soft tissue infection (n = 33, 19.1%) and pneumonia (n = 30; 17.3%). Aged patients had a higher comorbidity burden, but were otherwise similar to the young cohort. The aged cohort had a higher severity of early physiologic derangement (median APACHE II, 23 vs. 18; p = 0.002), greater incidence of multiple organ failure (64.3% vs. 40.4%, p = 0.006), and hospital mortality (15.9% vs. 2.1%; p = 0.016). Six-month mortality was significantly higher in the aged cohort as compared with young cohort (31% vs. 9%; p = 0.003). Aged septic patients biomarker trajectories suggestive of persistent immunosuppression (absolute lymphocyte count, soluble programed death ligand-1) and catabolism (Urine 3MH-Cr ratio, insulin growth factor, IGF1BP3, albumin) out to 28 days after sepsis.ConclusionAged, critically ill surgical patients have greater organ dysfunction and incidence of adverse clinical outcomes after sepsis. Biomarker profiles suggest an immunophenotype of persistent immunosuppression and catabolism. Advanced age may necessitate novel therapeutic strategies to promote multisystem organ recovery and improve survival after sepsis.Level of evidencePrognostic, level II.

Dataset Information

Prognosis Biomarkers of Severe Sepsis and Septic Shock by 1H NMR Urine Metabolomics in the Intensive Care Unit.

Publications

Prognosis Biomarkers of Severe Sepsis and Septic Shock by 1H NMR Urine Metabolomics in the Intensive Care Unit.

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