Diabetes and COVID-19: A systematic review on the current evidences.

BACKGROUND: COVID-19 pneumonia is a newly recognized illness that is spreading rapidly around the world and causes many disability and deaths. Some diseases, for instance diabetes, is continuously suggested as a risk factor which contributes to the severity and mortality of COVID-19. However, to date, there are no comprehensive studies aiming to explain the exact relationship between diabetes and COVID-19. Thus, this study aims to summarize the evidence about diabetes and COVID-19 outbreak through a systematic review and meta-analysis approach. METHOD: A literature review was implemented within databases of Scopus, PubMed, Science direct, and Web of science. Observational reviews, case-report, and case-series studies that assessed the diabetes in COVID-19 patients, were included. Data extraction and assessment were guided by PRISMA checklist. FINDINGS: Some studies suggest that there were no significant differences in symptoms between patients who suffered from both diabetes and COVID-19 and those who only suffered COVID-19. In the subsequent meta-analysis 14.5% of the subjects were diabetic patient. These clients have poor ARDS prognosis, severe symptoms, and the death rate is higher among COVID-19 patients. In addition, it is suggested the diabetic patients will be treated with antibiotics, antivirals, and HCQ. CONCLUSION: The results of this study show that diabetes is a risk factor - and contributes to the severity and mortality of patients with COVID-19. This paper also provides recommendations and guidelines for which could be useful for prevention and treatment of diabetic patients affected by COVID-19.

Surveying sleep quality and fatigue in multiple sclerosis patients at a multiple sclerosis center in Kermanshah, Iran, in 2017.

BACKGROUND: Multiple sclerosis (MS) is an autoimmune disease of the nervous system which appears with de-myelination of the central nervous system. Sleep disorder and fatigue are very common in MS patients and are part of the main debilitating factors in patients. The present study was conducted to survey sleep quality and fatigue in MS patients. METHODS: A descriptive-analytical study was conducted on 87 MS patients, who were referred to the Kermanshah MS Center in 2017. Data collection tools include a demographics form, fatigue severity scale, and Pittsburg sleep quality inventory. The questionnaires were self-reporting. The collected data was analyzed in SPSS23. RESULTS: The mean age of the participants was 35.50±9.25 years and the majority of the participants were married (54; 62.1%). Quality of sleep was related to family history of MS and history of using medications (antidepressants like tricyclics, MAOIs, SSRIs, and SNRIs and anxiety drugs such as diazepam, oxazepam, and alprazolam (p < 0.05). Moreover, there was a significant relationship between length of sleep and history of using medicines (p < 0.05). Finally, the results showed that there was a strong statistical relationship between performance during the day and fatigue (p < 0.05). CONCLUSIONS: The results recommend holding relaxation and exercise courses by nurses to ease fatigue in MS patients. Clinics can also play a more effective role by being more supportive and holding more efficient training programs. The program is taught by the researchers. TRIAL REGISTRATION: This study was carried out following the permission from Ethics Committee, Department of Research and Technology, Kermanshah University of Medical Sciences (approval number: KUMS.REC.1395.680).