Admission blood glucose as a predictor of shock and mortality in multiply injured patients.


Journal

SICOT-J
ISSN: 2426-8887
Titre abrégé: SICOT J
Pays: France
ID NLM: 101675099

Informations de publication

Date de publication:
2019
Historique:
received: 05 08 2018
accepted: 11 05 2019
entrez: 29 5 2019
pubmed: 29 5 2019
medline: 29 5 2019
Statut: ppublish

Résumé

Reliable diagnosis of shock in multiply injured patients is still challenging in emergency care. Point-of-care tests could have the potential to improve shock diagnosis. Therefore, this study aimed to analyze the impact of admission blood glucose on predicting shock in multiply injured patients. A retrospective cohort analysis of patients with an injury severity score (ISS) ≥ 16 who were treated in a level I trauma center from 01/2005 to 12/2014 was performed. Shock was defined by systolic blood pressure ≤ 90 mmHg and/or shock index ≥ 0.9 at admission. Laboratory shock parameters including glucose were measured simultaneously. Receiver-operating-characteristic (ROC) analysis and multivariate logistic regression analysis was performed. Seven hundred and seventy-two patients were analyzed of whom 93 patients (12.0%) died. Two hundred and fifty-nine patients (33.5%) were in shock at admission. Mortality was increased if shock was present at admission (18.1% vs. 9.0%, p < 0.001). Mean glucose was 9.6 ± 4.0 mmol/L if shock was present compared to 8.0 ± 3.0 mmol/L (p < 0.001). Admission glucose positively correlated with shock (Spearman rho = 0.2, p < 0.001). Glucose showed an AUC of 0.62 (95% CI [0.58-0.66], p < 0.001) with an optimal cut off value of 11.5 mmol/L. Patients with admission glucose of > 11.5 mmol/L had a 2.2-fold risk of shock (95% CI [1.4-3.4], p = 0.001). Admission blood glucose of > 11.5 mmol/L positively correlated with mortality too (Spearman rho = 0.65, p < 0.001). Patients had a 2.5-fold risk of dying (95% CI [1.3-4.8], p = 0.004). Admission blood glucose was proven as an independent indicator of shock and mortality and, therefore, might help to identify multiply injured patients at particular risk.

Identifiants

pubmed: 31134892
doi: 10.1051/sicotj/2019015
pii: sicotj180092
pmc: PMC6538364
doi:

Types de publication

Journal Article

Langues

eng

Pagination

17

Informations de copyright

© The Authors, published by EDP Sciences, 2019.

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Auteurs

Marcel Winkelmann (M)

Trauma Department, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany.

Ada Luise Butz (AL)

Trauma Department, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany.

Jan-Dierk Clausen (JD)

Trauma Department, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany.

Richard David Blossey (RD)

Trauma Department, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany.

Christian Zeckey (C)

Trauma Department, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany - Department of General, Trauma and Reconstructive Surgery, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany.

Sanjay Weber-Spickschen (S)

Trauma Department, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany.

Philipp Mommsen (P)

Trauma Department, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany.

Classifications MeSH