泰国单一睡眠中心多导睡眠图评分信度评估。

Q3 Health Professions
The Neurodiagnostic Journal Pub Date : 2025-09-01 Epub Date: 2025-08-25 DOI:10.1080/21646821.2025.2536408
Nannaphat Saiborisut, Apiwat Pugongchai, Chatkarin Tepwimonpetkun, Kannaphob Ladthavorlaphatt
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引用次数: 0

摘要

泰国高级睡眠技师(ast)和睡眠障碍专家(SDSs)在手动多导睡眠图(PSG)评分中的证书资格的可靠性此前尚未得到评估。本研究评估了泰国法理大学医院采用ast、SDS和自动评分系统(AUTO)进行PSG评分的可靠性。对2022年9月至2023年2月期间进行的250例PSG记录进行回顾性分析,根据呼吸暂停低通气指数(AHI)将患者分为四组:无OSA (AHI 30),分别包括11例、77例、105例和57例。比较ast、sds和AUTO的评分信度。单盲SDS在不知道AST评分的情况下对PSG数据进行独立评分,以确保公正的评估。在超过630,000个epoch中,Kappa (κ)统计数据显示AST和SDS (κ = 0.980, 95% CI 0.976 ~ 0.984)比AST和AUTO (κ = 0.599, 95% CI 0.543 ~ 0.655)的一致性更强,差异有统计学意义(p < 0.0001)。对于混合性呼吸暂停(MAs),类内相关系数(ICC)显示AST与SDS之间的一致性最高(ICC = 0.998, 95% CI 0.997-0.998),而AST与AUTO之间的一致性最高(ICC = 0.869, 95% CI 0.836-0.897)。与AST和AUTO相比,AST和SDS在大多数指标上存在显著差异(P < 0.0487)。虽然ast和sds的评分一致性很好,但AUTO评分的准确性明显较低,这表明AUTO系统需要进一步完善以确保可靠的临床使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Scoring Reliability in Polysomnography at a Single Sleep Center in Thailand.

The reliability of Thai certificate qualifications for Advanced Sleep Technicians (ASTs) and Sleep Disorders Specialists (SDSs) in manual polysomnography (PSG) scoring has not been previously evaluated. This study assessed the reliability of PSG scoring performed by ASTs, an SDS, and an automated scoring system (AUTO) at Thammasat University Hospital, Thailand. A retrospective analysis of 250 PSG recordings conducted between September 2022 and February 2023 classified patients into four groups based on the apnea-hypopnea index (AHI): No OSA (AHI <5), mild OSA (AHI 5-15), moderate OSA (AHI 15-30), and severe OSA (AHI >30), comprising 11, 77, 105, and 57 cases, respectively. Scoring reliability was compared among ASTs, SDSs, and AUTO. A single-blinded SDS independently scored the PSG data without knowing the AST's scoring to ensure an unbiased assessment. Across more than 630,000 epochs, the Kappa (κ) statistic demonstrated stronger agreement between AST and SDS (κ = 0.980, 95% CI 0.976-0.984) than between AST and AUTO (κ = 0.599, 95% CI 0.543-0.655), indicating significant differences (p < .0001). For mixed apneas (MAs), intraclass correlation coefficients (ICCs) showed the highest consistency between AST and SDS (ICC = 0.998, 95% CI 0.997-0.998) compared to AST and AUTO (ICC = 0.869, 95% CI 0.836-0.897). Significant differences were observed between AST and SDS compared to AST and AUTO across most metrics (P < .0487). While ASTs and SDSs demonstrated excellent scoring consistency, AUTO scoring was notably less accurate, suggesting that the AUTO system requires further refinement to ensure reliable clinical use.

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来源期刊
The Neurodiagnostic Journal
The Neurodiagnostic Journal Health Professions-Medical Laboratory Technology
CiteScore
1.00
自引率
0.00%
发文量
26
期刊介绍: The Neurodiagnostic Journal is the official journal of ASET - The Neurodiagnostic Society. It serves as an educational resource for Neurodiagnostic professionals, a vehicle for introducing new techniques and innovative technologies in the field, patient safety and advocacy, and an avenue for sharing best practices within the Neurodiagnostic Technology profession. The journal features original articles about electroencephalography (EEG), evoked potentials (EP), intraoperative neuromonitoring (IONM), nerve conduction (NC), polysomnography (PSG), autonomic testing, and long-term monitoring (LTM) in the intensive care (ICU) and epilepsy monitoring units (EMU). Subject matter also includes education, training, lab management, legislative and licensure needs, guidelines for standards of care, and the impact of our profession in healthcare and society. The journal seeks to foster ideas, commentary, and news from technologists, physicians, clinicians, managers/leaders, and professional organizations, and to introduce trends and the latest developments in the field of neurodiagnostics. Media reviews, case studies, ASET Annual Conference proceedings, review articles, and quizzes for ASET-CEUs are also published in The Neurodiagnostic Journal.
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