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Prediction of Persistent Post-Concussion Symptoms after Mild Traumatic Brain Injury

机译:轻度创伤性脑损伤后持久性震荡症状预测

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Persistent post-concussion symptoms (PPCS) occur frequently after mild traumatic brain injury (mTBI). The identification of patients at risk for poor outcome remains challenging because valid prediction models are missing. The objectives of the current study were to assess the quality and clinical value of prediction models for PPCS and to develop a new model based on the synthesis of existing models and addition of complaints at the emergency department (ED). Patients with mTBI (Glasgow Coma Scale score 13-15) were recruited prospectively from three Dutch level I trauma centers between 2013 and 2015 in the UPFRONT study. PPCS were assessed using the Head Injury Severity Checklist at six months post-injury. Two prediction models (Stulemeijer 2008; Cnossen 2017) were examined for calibration and discrimination. The final model comprised variables of existing models with the addition of headache, nausea/vomiting, and neck pain at ED, using logistic regression and bootstrap validation.
机译:在轻度创伤性脑损伤(MTBI)后经常发生持续的震荡症状(PPC)。 由于有效的预测模型缺失,因此识别出不良结果的危险性仍然挑战。 目前研究的目的是评估PPC的预测模型的质量和临床价值,并根据现有模型的合成,在急诊部门(ED)的申诉增加投诉的新模型。 患有MTBI(Glasgow Coma Scade 13-15)的患者在2013年和2015年之间前瞻性地从三个荷兰语水平的Trauma中心招募了2013年和2015年在前一个研究中。 在受伤后六个月的六个月使用头部损伤严重检查表评估了PPC。 检查两种预测模型(尖锐2008; CNOSSEN 2017)被检查进行校准和歧视。 最终模型包括使用Logistic回归和引导验证的ED中添加头痛,恶心/呕吐和颈部疼痛的现有模型的变量。

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