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| Kuesioner Berlin untuk Skrining Sleep Apnea× | International Restless Legs Syndrome Rating Scale× | |
|---|---|---|
| Bidang | Kedokteran Tidur | Kedokteran Tidur |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1999 | 2003 |
| Pencetus≠ | Netzer, N. C., Stoohs, R. A., Netzer, C. M., et al. | Walters, A. S., LeBrocq, C., Dhar, A., et al. |
| Tipe≠ | Self-report | Clinician-rated; patient-reported symptoms |
| Sumber perintis≠ | Netzer, N. C., Stoohs, R. A., Netzer, C. M., Clark, K., & Strohl, K. P. (1999). Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Annals of Internal Medicine, 131(7), 485-491. DOI ↗ | Walters, A. S., LeBrocq, C., Dhar, A., et al. (2003). Validation of the International Restless Legs Syndrome Study Group rating scale for restless legs syndrome. Sleep Medicine, 4(2), 121-132. DOI ↗ |
| Alias≠ | Berlin Sleep Apnea Questionnaire | IRLS, Restless Legs Syndrome Rating Scale |
| Terkait | 3 | 3 |
| Ringkasan≠ | The Berlin Questionnaire is a 10-item screening instrument designed to identify patients at risk for obstructive sleep apnea in primary care and community settings. Developed by Netzer and colleagues in 1999, it uses a three-category scoring approach (snoring symptoms, daytime somnolence, and hypertension/obesity) to stratify OSA risk. The tool is particularly useful in general population screening and has been extensively validated across international cohorts and clinical populations. | The IRLS is a 10-item clinician-administered rating scale designed to assess the severity of symptoms in patients with restless legs syndrome (RLS). Developed and validated by Walters and colleagues in 2003 for the International Restless Legs Syndrome Study Group, it is the most widely used disease-specific severity measure for RLS in clinical practice and research. The scale captures the cardinal features of RLS—nocturnal leg discomfort, urge to move, sleep disruption, and functional impairment—across multiple dimensions. |
| ScholarGateSet data ↗ |
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