A nomogram predicting risk for acute compartment syndrome following tibial plateau fractures. Single centre retrospective study.
Acute compartment syndrome
Nomogram
Risk factors
Tibial plateau fractures
Journal
Injury
ISSN: 1879-0267
Titre abrégé: Injury
Pays: Netherlands
ID NLM: 0226040
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
received:
16
05
2021
accepted:
27
10
2021
pubmed:
8
11
2021
medline:
8
2
2022
entrez:
7
11
2021
Statut:
ppublish
Résumé
Background This study aimed at analysing risk factors for development of acute compartment syndrome (ACS) in tibial plateau fractures, and to construct a nomogram predicting ACS-risk. Patients and Methods 243 patients (102 males; mean age: 50.7 [range: 18-85] years) with 253 tibial plateau fractures treated between 2010 and 2019 at a level-1 trauma centre were retrospectively included. Uni- and multivariate logistic regression analysis with odds ratios (OR) were performed to assess variables predicting ACS. Based on the multivariate model, ROC curve, Youden index, and nomogram were constructed. Results ACS developed in 23 patients (9.1%), with risk factors being male gender (OR: 10.606; p<0.001), BMI (OR: 1.084; p = 0.048), polytrauma (OR: 4.085; p = 0.003), and Schatzker type IV-VI fractures (OR: 6.325; p = 0.004). Age, ASA score, diabetes, renal insufficiency, hypertension, smoking or open fracture were not significantly associated with ACS-risk (all p>0.05). In the multivariate analysis, male gender (OR: 7.392; p = 0.002), and Schatzker type IV-VI fractures (OR: 5.533; p = 0.009) remained independent negative ACS-predictors, irrespective of polytrauma (p = 0.081), or BMI (p = 0.194). Area under the ROC curve was 0.840. Youden index revealed a cut-off value of ≥ 18%, upon which patients are at extremely high risk for ACS. Conclusions Particular attention should be paid to male patients with high-energy fractures of the tibial plateau towards any signs of ACS of the affected extremity to initiate early treatment. The compiled nomogram, consisting of four easily quantifiable clinical variables, may be used in clinical practice to individually predict ACS risk. Any risk score ≥ 18% should prompt critical monitoring towards ACS, or even prophylactic fasciotomy during primary surgery.
Identifiants
pubmed: 34742572
pii: S0020-1383(21)00898-6
doi: 10.1016/j.injury.2021.10.027
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
669-675Informations de copyright
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest None of the authors has any conflicts of interest related to the present manuscript to declare.