Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods.
Adult
Aged
Anti-Bacterial Agents
/ therapeutic use
Female
Fracture Fixation, Internal
/ adverse effects
Fractures, Open
/ blood
Humans
Hyperglycemia
/ blood
Male
Middle Aged
Predictive Value of Tests
Reoperation
/ statistics & numerical data
Retrospective Studies
Risk Factors
Surgical Wound Infection
/ blood
Tibial Fractures
/ blood
Trauma Centers
Treatment Outcome
Hyperglycemia
Infection
Orthopaedic trauma
Surgical site infection
Tibial plateau fractures
Journal
Injury
ISSN: 1879-0267
Titre abrégé: Injury
Pays: Netherlands
ID NLM: 0226040
Informations de publication
Date de publication:
Nov 2019
Nov 2019
Historique:
received:
27
02
2019
revised:
06
06
2019
accepted:
23
07
2019
pubmed:
3
8
2019
medline:
24
7
2020
entrez:
3
8
2019
Statut:
ppublish
Résumé
Identify a glucose threshold that would put patients with isolated bicondylar tibial plateau fractures at risk of early wound infection (i.e. < 90 days). Retrospective review of medical records. Academic American College of Surgeons (ACS) Level 1 trauma center. Adult patients between 2010 and 2015 with an operatively treated isolated bicondylar tibial plateau fracture and at least three glucose measurements during their hospitalization. To predict infection using four different methods: maximum preoperative blood glucose (PBG), maximum blood glucose (MGB), Hyperglycemic Index (HGI), and Time-Weighted Average Glucose (TWAG). 126/381 patients met our inclusion criteria. Fifteen (12%) patients had an open fracture and 30/126 (23%) developed an infection. Median glucose for each predictive method studied was 114 (IQR 101.2-137.8) mg/dL for PBG, 144 (IQR 119-169.8) mg/dL for MBG, 0.8 (IQR 0.20-1.60) mmol/L for HGI, and 120.4 (IQR 106.0-135.6) mg/dL for TWAG. As expected, infected patients had higher PBG, MGB, and TWAG. HGI was similar in both groups. None of these differences prove to be statistically significant (p > .05). Logistic regression models for all the methods showed that having an open fracture was the strongest predictor of infection. It is well known that stress-induced hyperglycemia increases the risk of infection, we present and compare four models that have been used in other medical fields. In our study, none of the methods presented identified a glucose threshold that would increase the risk of infection in patients with bicondylar tibial plateau fractures. Retrospective review, Level III. See Instructions for Authors for a complete description of levels of evidence.
Identifiants
pubmed: 31371170
pii: S0020-1383(19)30427-9
doi: 10.1016/j.injury.2019.07.028
pii:
doi:
Substances chimiques
Anti-Bacterial Agents
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2097-2102Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.