주기성 사지운동증에 따른 수면다원검사 상 수면 변수들의 변화
The Changes in Polysomnographic Sleep Variables by Periodic Limb Movements During Sleep
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목 적：이 연구에서는 PLMS 지수의 변화에 따라 수면다원검사 상 나타나는 수면 변수들과 주간 졸림 증상의 변화가 있는지 살펴보고, PLMD의 바람직한 진단 기준으로서의 PLMS 지수에 대해 알아보고자 하였다. 방 법：총 4195명 환자들에 대해 수면다원검사를 시행한 기록을 조사하여, 17세 이상이고, 원발성 불면증, 수면무호흡증, 기면병, 렘수면 행동장애가 없는 666명의 대상 환자들을 선택하였다. 대상 환자들의 PLMS 지수에 따라 5 이하인 그룹(1 그룹)과, 5에서 15 사이인 그룹(2 그룹), 15를 초과하는 그룹(3그룹)의 세 그룹으로 나누어 비교하였다. 각그룹별로 연령, 성별, Epworth 졸림 척도, 수면 효율, 입면후 각성시간, 수면 잠복기, 1단계 수면분율, 2단계 수면분율, 3단계 수면분율, REM 수면분율 등의 변수를 비교하였다. 결 과：세 그룹은 연령과 성별에서 통계적으로 의미 있는 차이를 보였다. 수면 효율, WASO, 3단계 수면분율에서1그룹과 2, 3그룹은 의미 있는 차이를 보였고, 2그룹과 3그룹 사이에는 차이가 없었다. 수면 잠복기와 Epworth 졸림척도에서 1그룹과 3그룹이 의미 있는 차이가 있었고, 2그룹과 3그룹 사이에는 차이가 없었다. 연령을 제어 변수로 설정하고 편상관분석을 실시한 결과 PLMS 지수는 수면 효율, WASO와 의미 있는 상관관계를 나타냈다. 결 론：이 연구 결과를 통해 PLMS 지수에 따라 수면다원검사 상 수면 변수의 변화가 있음을 알게 되었다. 또한 변화된 중요 수면 변수에서 2그룹과 3그룹이 차이가 없는 것으로 나타나서, PLMS 지수가 5 이상을 PLMD라고 진단했던예전 진단 기준을 좀더 옹호하는 결과인 것으로 나타났다.
Abstract
Objectives: Periodic limb movement disorder (PLMD) has been debated with regard to its clinical significance and diagnostic criteria. The current diagnostic criterion for PLMD in adults has been changed from periodic limb movement index (PLMI) ＞ 5/ hour to PLMI ＞ 15/hour by the International Classification of Sleep Disorders (ICSD). In this study, we aimed to investigate the changes in polysomnographic sleep variables according to PLMI and to determine the relevance of the diagnostic criterion for PLMD. Methods: Out of 4195 subjects who underwent standard polysomnography, we selected 666 subjects (370 males and 296 females, aged 47.1 ± 14.8) who were older than 17 years and were not diagnosed with primary insomnia, sleep apnea, narcolepsy, or REM sleep behavior disorder. Subjects were divided into three groups according to PLMI severity: group 1 (PLMI ≤ 5), group 2 (5 ＜ PLMI ≤ 15), and group 3 (PLMI ＞ 15). Demographic and polysomnographic sleep variables and Epworth sleepiness scale (ESS) were compared among the three groups. Results: There were significant differences among the three groups in age and gender. Sleep efficiency (SE) and stage 3 sleep percentage in group 1 were significantly higher than those in groups 2 and 3. The wake after sleep onset (WASO) score in group 1 was significantly lower than those in groups 2 and 3. However, there were no significant differences in SE, stage 3 sleep percentage, or WASO between groups 2 and 3. Sleep latency (SL) in group 1 was significantly lower than that in group 3, but there was no difference in SL between group 2 and group 3. ESS score in group 1 was significantly higher than that in group 3, but there was no difference between group 2 and group 3. Partial correlation analysis adjusted by age showed that PLMI was significantly related to SE and WASO. Conclusion: This study suggests that PLMI influences polysomnographic sleep variables. In addition, we found the individuals who did not have PLMD but had PLMI ＞ 5 were not different in polysomnographic sleep variables from the individuals who had PLMD according to the current criterion. These results raise questions about the relevance of the current diagnostic criterion of PLMD.
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