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利用短信机器人评估脑震荡症状严重程度评分的日内变化。

Utilization of a text-messaging robot to assess intraday variation in concussion symptom severity scores.

作者信息

Anthony Christopher A, Peterson Andrew R

机构信息

*University of Iowa Carver College of Medicine, Iowa City, Iowa; †Institute for Orthopaedics, Sports Medicine and Rehabilitation, Iowa City, Iowa; and ‡Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, Iowa.

出版信息

Clin J Sport Med. 2015 Mar;25(2):149-52. doi: 10.1097/JSM.0000000000000115.

DOI:10.1097/JSM.0000000000000115
PMID:24905538
Abstract

OBJECTIVE

To determine the amount of within-day variation of Concussion Symptom Severity Scores (CSSSs) in athletes with a clinically diagnosed concussion.

DESIGN

This prospective cohort study used a text-messaging robot to survey concussed athletes using the CSSS 5-times daily while they remained symptomatic.

SETTING

Academic sports concussion clinic at a large tertiary care medical center.

PARTICIPANTS

Fourteen 14- to 22-year-old athletes with clinically diagnosed concussions were enrolled. All were injured in sport, still in season, English speaking, and used a cellular telephone to text message on a regular basis.

ASSESSMENT OF RISK FACTORS

This study did not collect any demographic or other information about the subjects. The only data collected were the individual responses to the questions in the Post Concussion Symptom Score (PCSS). The only aim of this study was to evaluate the variability in responses to the CSSS, which is calculated from the PCSS.

MAIN OUTCOME MEASUREMENTS

The primary outcome measure was a repeatability coefficient from a random-effects model. Concussion Symptom Severity Score, mean daily CSSS, and standard deviation of CSSS differences from the mean were also calculated.

RESULTS

Mean follow-up was 23.9 days. A total of 24 180 text messages were received from subjects. Eight hundred four complete surveys were analyzed. Repeatability coefficient was ±23.1.

CONCLUSIONS

When surveyed frequently by a text-messaging robot, concussed athletes report poorly repeatable Sport Concussion Assessment Tool 2 (SCAT2) Symptom Severity Scores.

CLINICAL RELEVANCE

The SCAT2 Symptom Severity Score may be an invalid method of tracking concussion severity and resolution over time.

摘要

目的

确定临床诊断为脑震荡的运动员日内脑震荡症状严重程度评分(CSSS)的变化量。

设计

这项前瞻性队列研究使用短信机器人,在脑震荡运动员仍有症状期间,每天5次使用CSSS对他们进行调查。

地点

一家大型三级医疗中心的学术性运动脑震荡诊所。

参与者

招募了14名年龄在14至22岁之间、临床诊断为脑震荡的运动员。所有运动员均在运动中受伤,仍处于赛季中,说英语,且经常使用手机发短信。

风险因素评估

本研究未收集任何关于受试者的人口统计学或其他信息。唯一收集的数据是对脑震荡后症状评分(PCSS)中问题的个人回答。本研究的唯一目的是评估对CSSS(由PCSS计算得出)回答的变异性。

主要结局测量指标

主要结局指标是随机效应模型的重复性系数。还计算了脑震荡症状严重程度评分、每日CSSS均值以及CSSS与均值差值的标准差。

结果

平均随访时间为23.9天。共收到受试者的24180条短信。分析了804份完整的调查问卷。重复性系数为±23.1。

结论

当通过短信机器人频繁调查时,脑震荡运动员报告的运动脑震荡评估工具2(SCAT2)症状严重程度评分的可重复性较差。

临床意义

SCAT2症状严重程度评分可能是一种无效的跟踪脑震荡严重程度及随时间恢复情况的方法。

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