A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

A Comparison of Two Models Predicting the Presence of Chronic Exertional Compartment Syndrome. | LitMetric

A Comparison of Two Models Predicting the Presence of Chronic Exertional Compartment Syndrome.

Int J Sports Med

Service de Médecine Physique et Réadaption Locomotrice, CHU Nantes, Nantes, France.

Published: October 2021

Clinical history and physical examination are usually not sufficient to diagnose leg chronic exertional compartment syndrome (CECS). Two predictive clinical models have been proposed. The first model by De Bruijn et al. is displayed as a nomogram that predicts the probability of CECS according to a risk score. The second model by Fouasson-Chailloux et al. combines two signs (post-effort muscle hardness on palpation or hernia). To evaluate those models, we performed a prospective study on patients who were referred for possible CECS. 201 patients underwent intra-compartmental pressure at 1-min post-exercise (CECS if ≥ 30 mmHg) - 115 had CECS. For the De Bruijn et al. model, the risk score was 7.5±2.2 in the CECS group and 4.6±1.7 in the non-CECS group (p<0.001) with an area under the ROC curve of 0.85. The model accuracy was 80% with a sensitivity of 82% and a specificity of 78%. Concerning Fouasson-Chailloux et al. model, the accuracy was 86%; the sensitivity and the specificity were 75 and 98%, respectively. The De Bruijn et al. model was a good collective model but less efficient in individual application. In patients having both muscle hardness and hernia, we could clinically make the diagnosis of CECS.

Download full-text PDF

Source
http://dx.doi.org/10.1055/a-1342-8209DOI Listing

Publication Analysis

Top Keywords

chronic exertional
8
exertional compartment
8
compartment syndrome
8
risk score
8
cecs
6
comparison models
4
models predicting
4
predicting presence
4
presence chronic
4
syndrome clinical
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!