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Education and Information Technologies - Digitization and the Sars-CoV-2 pandemic are accelerating the use of digital tools in teaching. Therefore, this systematic literature review offers an... 相似文献
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Alban Fouasson-Chailloux Pierre Menu Jérémie Allorent Marc Dauty 《European Journal of Sport Science》2018,18(2):279-285
Chronic exertional compartment syndrome (CECS) is characterized by pain occurring during physical activity. As clinical examination is not sufficient to diagnose it, intracompartmental pressure (ICP) measure is used for CECS confirmation. Numerous clinical signs are reported but their diagnosis predictive ability has never been studied. We aimed to determine if the 12 classically reported clinical signs are predictive of CECS. We performed a single-centre retrospective cohort study on patients referred for CECS suspicion. Patients were asked to run on a treadmill. When pain occurred, post-exercise ICP was performed. We diagnosed CECS if the ICP was ≥30?mmHg and used a logistic regression to calculate the predictive value of clinical signs. One hundred twenty-five patients were evaluated. Ninety-six had CECS and 29 did not, according to the ICP 30?mmHg cut-off. Anterior and lateral compartments were the most frequently affected. After exercise, mean ICP was 58.6?mmHg?±?20.5 in the group with CECS versus 20.9?mmHg?±?4 in the group without (p?.001). Muscle hardness, muscle hernia after exercise, absence of pain at rest and pain recidivism for the same exercise were predictive of CECS. The predictive model associated muscle hardness (Odds Ratio (OR)?=?2.18; p?.001) and muscle hernia after exercise (OR?=?1.44; p?.001). This model identified 88.6% of CECS subjects. The ROC curve area was 0.808 [95% CI: 0.71–0.90]. This study confirmed the importance of clinical parameters to diagnose CECS. A better knowledge of the relevant parameters could help physicians to indicate invasive examinations. 相似文献
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