Epidemiology of Sleep Disorders among Chronic Hemodialysis Patients in Senegal: A Multicentric Study

Abstract

Introduction: Sleep disorders (SD) are common dialysis patients and can impact their quality of life. In previous studies, black ethnicity was associated with higher incidence of SD but a few data are available in African patients. This study aimed to describe prevalence and risk factors of SD among Senegalese dialysis patients. Methods: We performed a cross-sectional study between February 15th and April 30th 2012 including 127 patients (75 males and 52 females) aged 46.8 ± 16.9 (16 - 85 years) and dialysed since >6 months in three dialysis centres. For each patient, we assessed insomnia according to international definition, obstructive sleep apnea syndrome (OSAS) with the Berlin questionnaire, restless leg syndrome (RLS) using abridged version of Cambridge-Hopkins RLS questionnaire, and excessive daytime sleepiness (EDS) with Epworth sleepiness scale. Logistic multivariate regression was used to identify factors associated with different SD. Results: Overall prevalence of SD was 88% comprising: insomnia (64.3%), OSAS (49.1%), RLS (24.1%) and EDS (20.5%). Forty-two patients presented at least two disorders. No difference was noticed in prevalence of SD between genders (p = 0.14). Level of blood pressure were not different across patients with and without SD. Insomnia correlated with anemia, inflammation and EDS. OSAS was associated with age ≥50 years, EDS and neck circumference ≥25 cm. RLS correlated with anemia and EDS. Other parameters such as gender, dialysis vintage, KT/V, obesity, diabetes status and hypoalbuminemia were not associated with the different SD. The majority of patients had not been diagnosed before the survey and none of them was under treatment. Conclusions: Our findings are compatible with high prevalence of sleep disorders reported in other populations. Insomnia and OSAS are the most frequent SD but some patients combined many disorders. Nephrologists should be more aware of these SD in order to detect them early and provide efficient treatment.