Use of biomarkers in the prediction of culture-proven infection in the surgical intensive care unit.


Journal

Journal of critical care
ISSN: 1557-8615
Titre abrégé: J Crit Care
Pays: United States
ID NLM: 8610642

Informations de publication

Date de publication:
02 2019
Historique:
received: 30 05 2018
revised: 19 09 2018
accepted: 28 10 2018
pubmed: 16 11 2018
medline: 18 2 2020
entrez: 16 11 2018
Statut: ppublish

Résumé

The purpose of this study was to prospectively analyze the predictive role of classic predictors for suspected infection (temperature, WBC and derivatives) with two biomarkers, procalcitonin and lactate, on the incidence of culture-proven infection in the surgical intensive care unit (SICU). One hundred forty-six consecutive patients admitted for suspected infection had admission and 12-h procalcitonin values, admission and every 6-h lactate values for 24 h, and admission temperature, leukocyte count, lymphocyte count and percentage measured and analyzed in this study. Peak (highest measured value ≤24-h of admission) procalcitonin values were not predictive for culture-proven infection. However, a culture-negative subset was identified when peak procalcitonin values were  < 2.9 ng/mL and when peak lactate values were  < 1.3 mmol/L with a probability of 98.3% (P < .001). No other admission predictor was statistically associated with culture-proven infection. Following boosted-tree partitioning, a C-index of 0.85 was calculated with a misclassification rate of 23.3%. The ability to utilize procalcitonin values in the diagnosis of culture-proven infection was not realized in this study. However, the association of admission peak procalcitonin values with admission peak lactate values identified a group of patients who were culture-negative for suspected infection. No other admission predictor was associated with culture-proven infection.

Identifiants

pubmed: 30439629
pii: S0883-9441(18)30776-7
doi: 10.1016/j.jcrc.2018.10.023
pii:
doi:

Substances chimiques

Biomarkers 0
Lactates 0
Procalcitonin 0

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

149-154

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Hussam Ghabra (H)

Department of Anesthesiology, Ochsner Medical Center, 1514 Jefferson Hwy, New Orleans, LA 70121, USA; King Abdulaziz University, Department of Anesthesia and Critical Care, Jeddah, Saudi Arabia.

William White (W)

Department of Anesthesiology, Ochsner Medical Center, 1514 Jefferson Hwy, New Orleans, LA 70121, USA. Electronic address: william.white@ochsner.org.

Michael Townsend (M)

Department of Surgery, Section Acute Care Surgery, Ochsner Medical Center, 1514 Jefferson Hwy, New Orleans, LA 70121, USA. Electronic address: mtownsend@ochsner.org.

Philip Boysen (P)

Department of Anesthesiology, Section Critical Care Medicine, Ochsner Medical Center, 1514 Jefferson Hwy, New Orleans, LA 70121, USA. Electronic address: pboysen@ochsner.org.

Bobby Nossaman (B)

Department of Anesthesiology, Section Critical Care Medicine, Ochsner Medical Center, 1514 Jefferson Hwy, New Orleans, LA 70121, USA. Electronic address: bnossaman@ochsner.org.

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Classifications MeSH