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Combined Biomarkers Predict Acute Mortality Among Critically Ill Patients With Suspected Sepsis.
Kelly, Brendan J; Lautenbach, Ebbing; Nachamkin, Irving; Coffin, Susan E; Gerber, Jeffrey S; Fuchs, Barry D; Garrigan, Charles; Han, Xiaoyan; Bilker, Warren B; Wise, Jacqueleen; Tolomeo, Pam; Han, Jennifer H.
Afiliação
  • Kelly BJ; Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Lautenbach E; Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Nachamkin I; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA.
  • Coffin SE; Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Gerber JS; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA.
  • Fuchs BD; Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Garrigan C; Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Han X; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA.
  • Bilker WB; Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Wise J; Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Tolomeo P; Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Han JH; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Crit Care Med ; 46(7): 1106-1113, 2018 07.
Article em En | MEDLINE | ID: mdl-29912095
ABSTRACT

OBJECTIVES:

Sepsis is associated with high early and total in-hospital mortality. Despite recent revisions in the diagnostic criteria for sepsis that sought to improve predictive validity for mortality, it remains difficult to identify patients at greatest risk of death. We compared the utility of nine biomarkers to predict mortality in subjects with clinically suspected bacterial sepsis.

DESIGN:

Cohort study.

SETTING:

The medical and surgical ICUs at an academic medical center.

SUBJECTS:

We enrolled 139 subjects who met two or more systemic inflammatory response syndrome (systemic inflammatory response syndrome) criteria and received new broad-spectrum antibacterial therapy.

INTERVENTIONS:

We assayed nine biomarkers (α-2 macroglobulin, C-reactive protein, ferritin, fibrinogen, haptoglobin, procalcitonin, serum amyloid A, serum amyloid P, and tissue plasminogen activator) at onset of suspected sepsis and 24, 48, and 72 hours thereafter. We compared biomarkers between groups based on both 14-day and total in-hospital mortality and evaluated the predictive validity of single and paired biomarkers via area under the receiver operating characteristic curve. MEASUREMENTS AND MAIN

RESULTS:

Fourteen-day mortality was 12.9%, and total in-hospital mortality was 29.5%. Serum amyloid P was significantly lower (4/4 timepoints) and tissue plasminogen activator significantly higher (3/4 timepoints) in the 14-day mortality group, and the same pattern held for total in-hospital mortality (Wilcoxon p ≤ 0.046 for all timepoints). Serum amyloid P and tissue plasminogen activator demonstrated the best individual predictive performance for mortality, and combinations of biomarkers including serum amyloid P and tissue plasminogen activator achieved greater predictive performance (area under the receiver operating characteristic curve > 0.76 for 14-d and 0.74 for total mortality).

CONCLUSIONS:

Combined biomarkers predict risk for 14-day and total mortality among subjects with suspected sepsis. Serum amyloid P and tissue plasminogen activator demonstrated the best discriminatory ability in this cohort.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estado Terminal / Sepse Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estado Terminal / Sepse Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article