Sleep Quality on Maintenance Hemodialysis Patients in Douala General Hospital in Cameroon

Background: Poor sleep quality is reported to be common in hemodialysis patients. However, limited data are available about its prevalence in sub-Saharan region. The aim of this study was to assessed sleep quality and its predictors among hemodialysis patients. Methods: We conducted a cross sectional study of 2 weeks in the Douala General Hospital hemodialysis center of Cameroon involving 46 chronic hemodialyzed patients for at least six months with arteriovenous fistula. Quality of sleep was measured using the Pittsburgh Sleep Quality Index (PSQI) and laboratory data were collected in patients’’ fields. Result: Thirty-five (76.1%) subjects reported poor sleep quality. The most frequent abnormal sleep components were subjective sleep quality, sleep disturbances and sleep latency (87%, 85% and 76% respectively). In univariate linear regression, hemoglobin level, sleep quality, sleep latency, sleep duration, habitual sleep efficiency and sleep disturbance were associated with poor sleep quality. In multivariate linear regression only hemoglobin level (p = 0.004) and sleep latency (p = 0.002) were associated with poor sleep quality. Conclusion: Poor sleep quality is frequent in our hemodialysis patients and hemoglobin seems to be a good predictor of sleep quality in these patients.


Introduction
Sleep disorder is common in patients with end stage renal disease particularly on those undergoing dialysis therapies. It has been noted that 44% -80% of end stage renal disease (ESRD) patients reported sleep complaints [1] [2] [3]. Sleep disorder in this population is a severe comorbidity since it is associated with poor quality of life [4] [5] [6], depression [4], increasing systemic inflammation, cardio-vascular risk and mortality [6] [7] [8] [9]. Sleep disorder included a wide range of disorders such as insomnia, sleep-related breathing disorder, central disorder of hypersomnolence, sleep-related movement disorder, parasomnia and circadian rhythm sleep-wake disorder [10]. Most of them have been described in ESRD patients, but sleep apnea, restless leg syndrome, insomnia and excessive daytime somnolence are mainly found. Many risk factors have been associated to sleep disorder in ESRD patients, such as older age, dialysis shift (morning or night), anemia, hypoalbuminemia, high PTH and chronic pain [2] [6] [11]. However, limited data are available about sleep quality in dialysis patients in sub-Saharan countries such as Cameroon. Our aim was to assess sleep quality and its predictors in patients undergoing maintenance hemodialysis in the main hemodialysis service of the economic capital of Cameroon.

Methodology
We conducted a cross sectional study of 2 weeks from 5 to 17 September 2016 in the Douala General Hospital hemodialysis center of Cameroon. Only patient on maintenance hemodialysis of more than 6 months with arteriovenous fistula were included. Quality of sleep was measured using the Pittsburgh Sleep Quality Index (PSQI). The PSQI [12] evaluates the attitude of patients about their quality of sleep in the past 4 weeks. It contains 19 self-rated questions and 5 questions rated by the roommate. The 19 self-rate questions are combined to form 7 components scores: quality of sleep, delay in falling asleep (sleep latency), effective duration of sleep, sleep efficacy, sleep disorders, needed amount of sleep-inducing pills, and daytime performance. Each component score has a range of 0 -3 points. In all case, a score of "0" indicate no difficulty while a score of "3" indicate severe difficulty. The 7 components scores are add to yield a global PSQI score with a range of 0 to 21 points; higher scores indicate lower quality of sleep.
A global PSQI score greater than 5 indicates poor sleep quality. Roommate answers can also be scoring 0 -3 points according to the severity of the symptom, but they are not included in the global PSQI score.
PSQI Questionnaire was self-administrated by the patient at home and laboratory data were collected in patient's fields (serum calcium and phosphate, hemoglobin level). Socio-demographic data was also collected (age, dialysis vintage, employment) as well as comorbidities such as diabetes and HIV status.
Patients were also asked to complete the hospital anxiety and depression scale (HADS). HADS [13] is a brief and widely used measure of psychological distress in outpatient setting. The HADS contains 14 items and consists of two sub scales of anxiety and depression. Each item is rated on a 4-point scale, giving a maximum score of 21 for each of the anxiety and depression sub scales. Scores of 11 or more on either sub scale are considered to be a significant "case" of psycho-logical morbidity, while scores of 8 -10 represents a "borderline" and 0 -7 a "normal" case.
The study was approved by the ethics committee of the General Hospital of Douala. Patient information was collected and his/her consent was obtained as required by the ethics committee.
Data were summarized as mean (± standard deviation) and frequency (percentage). Comparison of demographic factors, medical profiles, biochemical factor among good and poor sleepers was done with Fisher's exact or chi-square test. Pearson's correlation and linear regression were used to assess the relationship between variables and sleep disturbance. Data were analyzed using the SPSS software version 20.0 (SPSS, Chicago, Illinois, USA). The significance level was considered to be p < 0.05 throughout the study.

Results
A total of 46 (54.4% females) participants were included among which 74% were unemployed. Their mean age was 44.01 ± 4.8 years and median dialysis duration was 2 years (6 months to 9 years). Diabetes mellitus (22%) and HIV infection (12%) were the main comorbidities. The mean serum calcium and hemoglobin was 2.27 ± 0.25 mmol/l and 8.07 ± 1.96 g/dl respectively; the prevalence of severe anemia (hemoglobin < 8 g/dl) was 37%. The PSQI ranged from 0 -18 with a median score of 7. Thirty five (76.1%) participants reported poor sleep quality. The most frequent abnormal sleep components were subjective sleep quality (87%), sleep disturbances (85%) and sleep latency (76%, Table 1). Mean sleep duration was 6.75 ± 2.5 hours with 13 patients (28%) slept less than 5 hours per night. Mean sleep latency was 41 ± 43.45 minutes. Age, sex, dialysis vintage, diabetes, HIV, employment and serum calcium was not associated with poor sleep quality ( Table 2). Hemoglobin was negatively correlated with poor sleep quality (r =

Discussion
This study shows that poor sleep quality is common in our hemodialysis patients Open Journal of Nephrology  [20].
Insomnia is the most reported sleep disorder in hemodialysis patients. The most important symptoms are difficulty in initiation of sleep, difficulty in sleep maintenance, falling back to sleep after nocturnal awakenings and spontaneous early awakenings, which can be accessed through sleep disturbance, sleep latency and sleep duration PSQI component. As sleep disturbance and sleep latency was very frequent (85% and 76% respectively), insomnia is probably very common in our patients. Insomnia has been associated with older age, chronic pain, stress, dialysis shift and high level of parathyroid hormone [6] [11] [21]. We found that sleep disturbance was associated with male sex and hemoglobin level.
Polysomnography studies have showed that ESRD patient had poor sleep architecture [21]. They have short and fragmented sleep with total sleep times between 260 -360 min, low sleep efficiency (66% -85%), long sleep latency (10 -30 min) and rapid eye movement latency (92 -64 min). Although it has been recognized that the PSQI may not always be associated with polysomnographic findings of a distinct primary sleep disorder, we noted in our study that third patient had sleep efficiency <65%, third a sleep latency >30 min and another third slept less than 5 hours per night. Interesting, sleep duration was associated with anxiety and sleep efficiency with hemoglobin level. Indeed, previous inves-  [23]. In our study, male sex, employment, hemoglobin level, serum calcium, anxiety and depression were associated with PSQI sleep component; hemoglobin and anxiety were associated with total PSQI score. However only hemoglobin was associated to poor sleep quality in univariate and multivariate regression. Correction of anemia may then improve sleep quality in our setting.
This study had several limitations. First, this was a cross-sectional study and no cause and effect relationships between the studied parameters and quality of sleep can be established. Second, our study population is small and our result may not be representative of the overall Cameroonian hemodialysis population.
Third, we did not perform polysomnographic and assessed sleep quality only subjectively. Future studies should consider these limitations.

Conclusion
Poor sleep quality is frequent in our hemodialysis patients and it is associated with hemoglobin level and anxiety. Since poor sleep quality has been generally underdiagnosed but have great impact on life quality and mortality, effort should be done for detection and intervention. This study also indicates that correction of anemia may improve sleep quality in our setting.