BackgroundUse of combination antiretroviral therapy (cART) has led to significant reductions in morbidity and mortality. However, there is a growing concern about metabolic syndromes (MS), among patients receiving cART. Despite this fact, there is limited evidence for the prevalence of the MS among HIV-infected persons receiving cART in developing countries, particularly Ethiopia.ObjectiveTo determine the prevalence and predictors of MS among people living with HIV/AIDS in Jimma health centre, Jimma Zone south west Ethiopia.MethodsA cross-sectional study was conducted on people living with HIV/AIDS (PLWHA) in Jimma health centre that fulfilled the inclusion criteria. Data on demographic and anthropometric characteristics were collected using World health organization (WHO) stepwise approach. Fasting blood glucose and lipid profile was measured. The Third Report of National Cholesterol Education Program-adult treatment panel III (NCEP-ATP III)-2001, the International Diabetes Federation (IDF)-2005 and the Joint interim statement-2009 (JIS) criteria were used to define MS. Data were analyzed using statistical software package (SPSS) version 20.0. Logistic regression analysis was done to identify predictors of MS and predictors with p value < 0.05 were used to declare statistical significance.ResultsOf 268 HIV-infected participants included in the analysis, 211 (78.7%) were women. The mean age of the participants was 39.32 ± 10.626 years. Using the NCEP-ATP III criteria, the prevalence of MS was found to be 23.5% (63 patients). While it was 20.5% (55 patients) and 27.6% (74 patients) with IDF and JIS criteria respectively. Enrollment in formal education resulted in 75% increment in the odds of MS (AOR = 0.25, 95% CI [0.072–0.879]). The odds of MS in patients with body mass index > 25 kg/m2 was elevated to 13.4 times (AOR = 13.39, 95% CI [3.943–45.525]) and exposure to D-drugs was attributed to 59% increment in the odds of MS (AOR = 1.59, 95% CI [0.58–4.56]), although the finding lacks statistical significance.ConclusionsMetabolic syndromes was relatively common to the study population. Hence, promoting health education and monitoring patient’s clinical and laboratory parameters at every visit and taking appropriate measure is ideal.

Background. The pandemic of coronavirus disease 2019 (COVID‐19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in an unprecedented public health challenge worldwide. Despite urgent and extensive global efforts, the existing evidence is inconclusive regarding the medications used for the treatment of COVID-19. Purpose. To generate an up-to-date evidence for the clinical safety and efficacy of hydroxychloroquine (HCQ) with or without azithromycin (AZ) among patients treated for COVID-19. Data Source. PubMed, Cochrane CENTRAL, LITCOVID, Web of Science, SCOPUS, BioRxiv, Embase, MedRxiv, and Wiley online library were searched from 2019/12/30 to 2020/05/23. Study Selection. Three investigators assessed the quality of the studies. Data Extraction. Data about study characteristics, effect estimates, and the quality of the studies were extracted by two independent reviewers and cross-checked by the third reviewer. Data Synthesis. The data of 6,782 (HCQ group, 3623; HCQ + AZ group, 1,020; control group, 2139) participants were included. HCQ was compared with standard care for virologic efficacy, disease progression, mortality, and adverse effects. HCQ was also compared with HCQ + AZ for QTc prolongation, admission to the intensive care unit, and mortality. The study found HCQ did not alter the rate of virologic cure (OR = 0.78; 95% CI: 0.39–1.56) and the risk of mortality (OR = 1.26; 95% CI: 0.66–2.39). The pooled prevalence for mortality was 5.8% (95% CI: 0.9%–10.8%). Moreover, HCQ did not impact disease progression (OR = 0.9; 95% CI: 0.36–2.29) but resulted in a higher risk of adverse effects (OR = 2.35; 95% CI: 1.15–4.8). HCQ was also compared against HCQ + AZ, and no difference was observed in QTc prolongation above 500 ms (OR = 1.11; 95% CI: 0.54–2.28), admission to the intensive care unit (OR = 0.92; 95% CI: 0.52–1.63), and mortality (OR = 0.88; 95% CI: 0.55–1.43). However, in the analysis of single-arm studies, about 11.2% (95% CI: 7.0%–15.5%) of patients have developed an absolute increase of QTc greater than 500 ms, and 4.1% (95% CI: 1.1%–7.1%) of patients discontinued their medication. Conclusion. This meta-analysis and systematic review, which included a limited number of poorly designed studies of patients with COVID-19, revealed HCQ is intolerable, unsafe, and not efficacious. Similarly, HCQ + AZ combination was not different from HCQ alone in curbing mortality and ICU admission.

Background Chronic liver disease (CLD) is a progressive destruction of liver tissue with subsequent necrosis that persists for at least 6 months. In Ethiopia, despite the high burden report, data on CLD is limited. The objective of this study was to assess short-term clinical outcomes in patients admitted with chronic liver disease to three tertiary teaching hospitals in Ethiopia and to identify predictors of mortality. Methods A cohort of 109 patients admitted with CLD to three tertiary teaching hospitals in Ethiopia, were prospectively followed from the time of admission to 30-days of hospital discharge. The study was conducted from April 1, 2018, to October 5, 2018. Kaplan-Maier curve was used to estimate survival and cox-regression analysis to identify predictors of mortality. Result A total of 109 patients (80% male) diagnosed with CLD were included. Median age of the participants was 38(IQR, 30–48). The overall median length of hospital stay was 7(IQR, 4–11) days. Of the total, 39(35.8%) patients were HBsAg positive, and 12(11%) patients were anti-HCV positive. The 30-day mortality was 38(34.9%), and most of the deaths, 31(81.6%) occurred before hospital discharge. Hepatic encephalopathy at admission; being with unidentified risk factor/etiologies of CLD and total bilirubin level were independent predictors of in-hospital mortality. Patients with hepatic encephalopathy at admission had approximately 11 times increased risk of death as compared to patients without hepatic encephalopathy at admission. Similarly, the hazard of mortality was 5.8 times higher in those patients with unidentified risk factor/etiology as compared to others. The risk of dying had also increased with an increase in bilirubin (1.188[95% CI, 1.0719–1.316]) level. Conclusion Approximately one-quarter of patients with CLD died during their hospital stay, and the risk of death continued after hospital discharge. Hepatic encephalopathy at admission, unidentified risk factor/etiology and increased level of total bilirubin are poor prognostic factors. Given that more than one third the patients had HBV-infection, access to antiviral drugs could help improve the prognosis of patients with end-stage liver disease in Ethiopia, as well as prevent the progression of the disease if initiated earlier.

Background Older adult patients are prone to potentially inappropriate medication use (PIMU); its use has been associated with multiple adverse consequences. As a result, it is crucial to determine the magnitude and factors associated with PIMU. The present study was mainly aimed to determine and assess the magnitude and predictors of potentially inappropriate medication use in older adult patients on follow-up at the chronic care clinic of Jimma medical center. Methods A retrospective cross-sectional study was conducted involving 219 patients aged 65 years and above on treatment follow-up. Data was collected using a checklist. The 2019 updated American Geriatric Society (AGS) Beers Criteria® and Screening Tool of Older People’s Potentially Inappropriate Prescriptions criteria and Screening Tool to Alert Doctors to Right Treatment (STOPP/START) criteria (version 2) were employed to assess PIMU. SPSS IBM (v22) was used for data entry and analysis. Categorical variables were described using frequency and percentage, whereas continuous variables were described using mean with standard deviation (SD) or median with interquartile range (IQR). Logistic regression was conducted to identify predictors of PIMU. Results The average number of medications prescribed per patient was 4.0 (IQR = 2.0). At least one PIMU was identified in 182 (83.1%) and 99 (45.2%) patients, based on Beers and STOPP criteria, respectively. Additionally, potential prescription omission (PPO) was observed in 24 (10.9%) patients. The risk of Beers PIMU was increased with age [AOR = 1.21, p <  0.001], hypertension [AOR = 4.17, p <  0.001], and polypharmacy [AOR = 14.10, p <  0.001], while a decrease in the risk was noted in patients with a diagnosis of ischemic stroke [AOR = 0.133, p = 0.01] and asthma [AOR = 0.03, p <  0.001]. Using STOPP criteria, hypertension [AOR = 2.10, p = 0.04], diabetes mellitus [AOR = 2.26, p = 0.04], ischemic heart disease [AOR = 2.84, p = 0.04], peripheral neuropathy [AOR = 10.61, p <  0.001], and polypharmacy [AOR = 6.10, p <  0.001] significantly increased the risk of PIMU. Conclusions Regardless of the screening tool used to assess, the present study revealed PIMU in the large proportion of the participants. Multiple medication use and certain disease condition had increased the probability of PIMU. Hence, it is imperative to use screening tools for reviewing medications prescribed in older adult patients to ensure safety of medication therapy.

Background Elderly patients are prone to potentially inappropriate medication use (PIMU); its use have been associated with multiple adverse consequences. As a result, it is crucial to determine the magnitude and factors associated with PIMU. The present study was mainly aimed to determine and assess the magnitude and predictors of potentially inappropriate medications use in elderly patients on follow-up at the chronic care clinic of Jimma medical center. Methods A retrospective cross-sectional study was conducted involving 219 patients aged 65 years and above on treatment follow-up. Data was collected using checklist. The 2019 updated American Geriatric Society (AGS) Beers Criteria® and Screening Tool of Older People’s Potentially Inappropriate Prescriptions criteria and Screening Tool to Alert Doctors to Right Treatment (STOPP/START) criteria (version 2) were employed to assess PIMU. SPSS IBM (v22) was used for data entry and analysis. Categorical variables were described using frequency and percentage, whereas continuous variables were described using mean with standard deviation (SD) or median with interquartile range (IQR). Logistic regression was conducted to identify predictors of PIMU. Results The average number of medications prescribed per patient was 4.0 (IQR = 2.0). At least one PIMU was identified in 182 (83.1%) and 99 (45.2%) patients, based on Beers and STOPP criteria, respectively. Additionally, potential prescription omission (PPO) was observed in 24 (10.9%) patients. The risk of Beers PIMU was increased with age [AOR = 1.21, p < 0.001], hypertension [AOR = 4.17, p < 0.001], and Polypharmacy [AOR = 14.10, p < 0.001], while a decrease in the risk was noted in patients with a diagnosis of ischemic stroke [AOR = 0.133, p = 0.01] and asthma [AOR = 0.03, p < 0.001]. Using STOPP criteria, hypertension [AOR = 2.10, p = 0.04], diabetes mellitus [AOR = 2.26, p = 0.04], ischemic heart disease [AOR = 2.84, p = 0.04], peripheral neuropathy [AOR = 10.61, p < 0.001], and Polypharmacy [AOR = 6.10, p < 0.001] significantly increased the risk of PIMU. Conclusions Regardless of the screening tool used to assess, the present study revealed PIMU in the large proportion of the participants. Multiple medication use and certain disease condition had increased the probability of PIMU. Thus, it is imperative to use screening tools to review medications prescribed for each hospitalized elderly patients so as to reduce adverse consequences of PIMU.