Associated factors and a risk prediction model for comorbid circadian rhythm sleep-wake disorders in patients with chronic fatigue syndrome: implications for early screening and sleep health management - Report - MDSpire
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Identifying Factors and Developing a Risk Assessment Model for Comorbid Circadian Rhythm Sleep-Wake Disorders in Chronic Fatigue Syndrome Patients: Insights for Early Detection and Sleep Health Strategies
Clinical Report: Identifying Factors and Developing a Risk Assessment Model for Comorbid Circadian Rhythm Sleep-Wake Disorders in Chronic Fatigue Syndrome Patients
Overview
This study characterizes comorbid circadian rhythm sleep-wake disorders (CRSWDs) in chronic fatigue syndrome (CFS) patients and identifies key factors associated with these disorders.
Background
Chronic fatigue syndrome (CFS) is a debilitating condition characterized by persistent fatigue and various multisystem symptoms, including sleep disturbances. The relationship between CFS and circadian rhythm sleep-wake disorders (CRSWDs) is significant, as these disorders can exacerbate the overall symptom burden and impact quality of life.
Data Highlights
Factor
Odds Ratio (OR)
95% Confidence Interval (CI)
12-hour rotating shifts
6.981
2.603-18.720
24-hour shifts
5.316
2.197-12.863
8-hour rotating shifts
3.982
1.698-9.339
Fatigue Severity (FS-14)
1.984
1.442-2.728
Female sex
1.892
1.178-3.037
Slow-wave sleep (N3%)
0.982
0.971-0.992
Key Findings
48.7% of CFS patients in the training cohort had comorbid CRSWDs.
Gender, BMI, fatigue severity, slow-wave sleep, screen use before bedtime, and shift-work schedule were significantly associated with CRSWDs.
Multivariable analysis identified 12-hour rotating shifts, 24-hour shifts, and 8-hour rotating shifts as risk factors for CRSWDs.
Increased fatigue severity and female sex were also independently associated with higher incidence of CRSWDs.
Higher slow-wave sleep (N3%) was linked to decreased odds of CRSWDs.
The developed risk prediction model demonstrated good performance in both training and validation cohorts.
Clinical Implications
The identification of specific factors associated with CRSWDs in CFS patients can inform screening strategies.
Conclusion
The study highlights the importance of recognizing comorbid CRSWDs in CFS patients.