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大样本人群中预测小腿慢性运动性间隔综合征的因素

Factors Predicting Lower Leg Chronic Exertional Compartment Syndrome in a Large Population.

作者信息

de Bruijn Johan A, van Zantvoort Aniek P M, van Klaveren David, Winkes Michiel B, van der Cruijsen-Raaijmakers Marike, Hoogeveen Adwin R, Teijink Joep A W, Scheltinga Marc R

机构信息

Máxima Medical Center, Surgery, Veldhoven, the Netherlands.

Erasmus MC, Public health, Rotterdam, the Netherlands.

出版信息

Int J Sports Med. 2018 Jan;39(1):58-66. doi: 10.1055/s-0043-119225. Epub 2017 Nov 10.

Abstract

Knowledge about lower leg chronic exertional compartment syndrome (CECS) is largely obtained from highly selected populations. Patient characteristics may therefore not be appropriate for the general population. Our purpose was to describe a heterogeneous population of individuals suspected of lower leg CECS and to identify predictors of CECS. Charts of individuals who were analyzed for exercise-induced lower leg pain in a referral center between 2001 and 2013 were retrospectively studied. Patients were included if history and physical examination were suggestive of CECS and if they had undergone a dynamic intracompartmental pressure measurement. Six hundred ninety-eight of 1411 individuals were diagnosed with CECS in one or more of three lower leg muscle compartments (anterior tibial, deep flexor, lateral). Prevalence of CECS peaked around the age of 20-25 years and decreased thereafter, although a plateau around 50 years was found. Age, gender, bilateral symptoms, previous lower leg pathology, sports (running and skating) and tender muscle compartments were identified as independent predictors of lower leg CECS. The proposed predictive model has moderate discriminative ability (AUC 0.66) and good calibration over the complete range of predicted probabilities. The predictive model, displayed as a nomogram, may aid in selecting individuals requiring an invasive dynamic intracompartmental muscle pressure measurement.

摘要

关于小腿慢性运动性骨筋膜室综合征(CECS)的知识大多来自经过高度筛选的人群。因此,患者特征可能不适用于一般人群。我们的目的是描述疑似小腿CECS的异质性个体群体,并确定CECS的预测因素。对2001年至2013年间在一家转诊中心接受运动诱发性小腿疼痛分析的个体病历进行了回顾性研究。如果病史和体格检查提示CECS,且患者接受了动态骨筋膜室内压力测量,则纳入研究。1411名个体中,698人在小腿三个肌肉骨筋膜室(胫前、深屈肌、外侧)中的一个或多个被诊断为CECS。CECS的患病率在20 - 25岁左右达到峰值,此后下降,不过在50岁左右发现有一个平台期。年龄、性别、双侧症状、既往小腿病变、运动(跑步和滑冰)以及压痛的肌肉骨筋膜室被确定为小腿CECS的独立预测因素。所提出的预测模型具有中等判别能力(AUC 0.66),并且在预测概率的整个范围内具有良好的校准。以列线图形式展示的预测模型可能有助于选择需要进行侵入性动态骨筋膜室内肌肉压力测量的个体。

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