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青少年脑震荡后匹兹堡睡眠质量指数的临床切点

Clinical Cut Point for the Pittsburgh Sleep Quality Index After Adolescent Concussion.

作者信息

Donahue Catherine C, Smulligan Katherine L, Wingerson Mathew J, Brna Madison L, Simon Stacey L, Wilson Julie C, Howell David R

机构信息

Department of Orthopedics, University of Colorado School of Medicine, Aurora, Colorado, USA.

Sports Medicine Center, Children's Hospital Colorado, Aurora, Colorado, USA.

出版信息

Orthop J Sports Med. 2025 Apr 18;13(4):23259671251330571. doi: 10.1177/23259671251330571. eCollection 2025 Apr.

DOI:10.1177/23259671251330571
PMID:40297050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12035074/
Abstract

BACKGROUND

Concussions can have negative implications for sleep quality. Self-report measures, such as the Pittsburgh Sleep Quality Index (PSQI), have been used in clinical and research settings to identify individuals with sleep impairments. However, the accuracy/applicability of historically established PSQI scoring criteria for differentiating good versus poor sleep quality has not been critically examined in adolescents with concussion.

PURPOSE

To establish a relevant PSQI clinical cut point for adolescents with a recent concussion.

STUDY DESIGN

Cross-sectional study; Level of evidence, 3.

METHODS

Adolescents within 16 days of concussion and uninjured controls completed the PSQI, and a global score of 0 to 21 was calculated. Independent-samples tests were used to compare PSQI global scores, and logistic regression was used to calculate odds ratios (outcome = group; predictors = PSQI, covariates). A receiver operating characteristic curve was used to evaluate the area under the curve (AUC) and determine the optimal cut point to distinguish between adolescents with and without a concussion.

RESULTS

A total of 110 adolescents with a concussion (mean age, 14.9 ± 1.6 years; 53% female; 9.8 ± 3.6 days since injury) and 129 uninjured controls (mean age, 15.6 ± 1.1 years; 86% female) were included for analysis. The concussion group had significantly worse (higher) PSQI scores than controls (mean, 7.41 ± 3.62 vs 2.26 ± 1.97; < .001; Cohen = 1.8). Both the univariable model and multivariable model (controlling for age, sex, concussion history, history of anxiety and/or depression, and self-reported use of sleep medication) had excellent diagnostic accuracy (univariable AUC, 0.90; multivariable AUC, 0.99). Within the multivariable model, a cut point of 4 correctly classified 81% of participants as concussed or control (sensitivity, 87%; specificity, 74%).

CONCLUSION

Adolescents with a concussion demonstrated worse sleep quality than uninjured controls. The results suggest that sleep quality, as measured by the PSQI, can distinguish between adolescents with and without a concussion, using a cut point of 4.

摘要

背景

脑震荡会对睡眠质量产生负面影响。自我报告测量方法,如匹兹堡睡眠质量指数(PSQI),已在临床和研究环境中用于识别有睡眠障碍的个体。然而,对于有脑震荡的青少年,历史上确立的PSQI评分标准在区分睡眠质量好坏方面的准确性/适用性尚未得到严格检验。

目的

为近期有脑震荡的青少年建立相关的PSQI临床切点。

研究设计

横断面研究;证据等级,3级。

方法

脑震荡后16天内的青少年和未受伤的对照组完成PSQI评估,并计算0至21的总分。采用独立样本t检验比较PSQI总分,并使用逻辑回归计算比值比(结果=组别;预测因素=PSQI,协变量)。使用受试者工作特征曲线评估曲线下面积(AUC),并确定区分有和无脑震荡青少年的最佳切点。

结果

共纳入110名有脑震荡的青少年(平均年龄,14.9±1.6岁;53%为女性;受伤后9.8±3.6天)和129名未受伤的对照组(平均年龄,15.6±1.1岁;86%为女性)进行分析。脑震荡组的PSQI评分显著低于对照组(更高)(平均值,7.41±3.62对2.26±1.97;P<.001;Cohen d=1.8)。单变量模型和多变量模型(控制年龄、性别、脑震荡史、焦虑和/或抑郁史以及自我报告的睡眠药物使用情况)均具有出色的诊断准确性(单变量AUC,0.90;多变量AUC,0.99)。在多变量模型中,切点为4时可将81%的参与者正确分类为脑震荡或对照组(敏感性,87%;特异性,74%)。

结论

有脑震荡的青少年睡眠质量比未受伤的对照组更差。结果表明,使用PSQI测量的睡眠质量可以通过切点4区分有和无脑震荡的青少年。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fff/12035074/d9f447c5090d/10.1177_23259671251330571-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fff/12035074/221bbcbc65cc/10.1177_23259671251330571-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fff/12035074/573ea978139e/10.1177_23259671251330571-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fff/12035074/d9f447c5090d/10.1177_23259671251330571-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fff/12035074/221bbcbc65cc/10.1177_23259671251330571-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fff/12035074/573ea978139e/10.1177_23259671251330571-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fff/12035074/d9f447c5090d/10.1177_23259671251330571-fig3.jpg

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