Correlates of ART attrition among adults under antiretroviral therapy in Southern Ethiopia, retrospective cohort study.

High attrition rates from ART are the primary contributors to morbidity, death, hospitalisation, rising transmission rates, treatment failure, rising burden of opportunistic infections (OIs), and the evolution of HIV-virus resistance (HIVDR). In Sub-Saharan Africa, more than two-thirds of ART patients will not receive continuous care. There is little information about the correlates that contribute to attrition from ART services among ART patients in Southern Ethiopia. Hence, this study aims to identify correlates of attrition from antiretroviral therapy services for adults under antiretroviral therapy at Otona Teaching and Referral Hospital, Wolaita Zone, Southern Ethiopia. From 1 January 2013 to 31 December 2017, a retrospective cohort analysis was performed. The pre-determined 328 medical records were chosen using a simple random sampling technique using computer-generated random numbers. Epi Info version 3.5.3 was used to enter and clean the data, which were then exported to STATA version 11 for analysis. The Cox proportional hazards model, both bivariate and multivariable, was used. Variables with p-values less than 0.25 in bivariate analysis were considered candidates for multivariable analysis, and variables with p-values less than 0.05 were deemed statistically important in multivariable analysis. The intensity of the correlation and statistical significance were determined using the CHR, AHR, and 95 per cent confidence intervals. The magnitude of attrition from ART service was 21.60% (95% CI: 17.10, 26.10). The distance between home and hospital is more than five kilometres (AHR:3.84;95% CI: 1.99,7.38), no registered phone number (AHR:2.47;95%CI:1.32,4.09), have not taken isoniazid prophylaxis (AHR:2.23;95%CI:1.30,4.09), alcohol consumption (AHR: 1.77; 95% CI:1.01, 3.12), and had no caregiver (AHR: 2.11; 95% CI:1.23, 3.60) were statistically significant in the Cox proportional hazard model. Distance between home and hospital, phone number registration on follow-up chart, having a history of alcohol consumption, isoniazid prophylaxis provision, and having family support were independent correlates of attrition from antiretroviral treatment services.

Prevalence and predictors of dyslipidemia among HAART treated and HAART naive HIV positive clients attending Debre Tabor Hospital, Debre Tabor, Ethiopia.

Background: Highly active anti-retroviral therapy has been reported to be associated with a number of side effects in human immunodeficiency virus patients among which dyslipidemia isa common metabolic disorder. Methods: A Hospital based comparative cross-sectional study among 228 HIV positive patients was conducted from July to August 2020. Socio-demographic and clinical data were collected using structured questionnaires. Fasting venous blood sample was collected and analyzed for Lipid profiles. EDTA sample was analyzed for CD4+ T cell determination. Anthropometric measurement was done. Data were analyzed using SPSS version 22. Independent t-test was done. Logistic and binary regression was done. Result: A total of 228 HIV patients were enrolled in the study. Prevalence of dyslipidemia in HAART naive and HAART treated patients was 61 (53.5%) and 84 (73.7%), respectively. The prevalence of Total Cholesterol ≥200 mg/dl was 50% and 30%; High density lipoprotein cholesterol <40 mg/dl was 43.8% and 36%; Low density lipoprotein cholesterol ≥130 mg/dl was 48.3% and 28.1%; and Triglyceride ≥ 150 mg/dl 59.6% and 39% among HAART treated and HAART naive, respectively. Age greater than 40 years (AOR = 3.27, 95% C.I: 1.47-7.25), blood pressure ≥140/90 (AOR = 16.13, 95% C.I: 5.81-44.75), being on HAART (AOR = 2.73, 95% C.I: 1.35-5.53) and body mass index >25 kg/m2 (AOR = 1.92, 95% C.I: 1.20-4.81) were identified as determinants of dyslipidemia. Conclusion: The mean value of lipid profile was significantly higher among HAART treated as compared to those HAART naive HIV positive clients.

Behavioral intention and its predictors toward COVID-19 vaccination among people most at risk of exposure in Ethiopia: applying the theory of planned behavior model.

Acceptance of a vaccine or hesitancy has great public health implications as these partly determine the extent to which people are exposed to infections that could have otherwise been prevented. There is a high need for a more updated understanding of the behavioral intention of the public toward COVID-19 vaccines and associated factors in light of the COVID-19 pandemic to give appropriate public health messages or actions. Thus, the study aimed to assess behavioral intention and its predictors toward COVID-19 vaccine among people most at risk of exposure in Ethiopia. A population-based anonymous online survey was conducted on individuals aged greater than 18 years from May 01, 2021 to June 30, 2021. The data were collected using a convenient sampling method through an online self-administered, structured questionnaire that was created onto Google survey tool (Google Forms) and disseminated to the public on different social media channels through online sharable platforms. Descriptive statistics were done. Bivariateand multivariable logistic regression was done to show the association of behavioral intention toward the COVID-19 vaccine. The associations of variables were declared with the use of 95% CI and P-value. A total of 1080 participants were included in this survey. Seven hundred one (64.9%) of the respondents had a behavioral intention to receive the COVID-19 vaccine. Males (AOR = 1.41 (95% CI = 1.004-2.53)), degree in level of education (AOR = 0.815 (95% CI = 0.254-0.916)), good knowledge (AOR = 4.21 (95% CI = 2.871-6.992)), attitude (AOR = 2.78 (95% CI = 1.654-4.102)), subjective norm (AOR = 1.214 (95% CI = 1.008-4.309)) and perceived behavioral control (AOR = 3.531 (95%CI = 1.689-5.201)) were found to be significantly associated with behavioral intention toward COVID-19 vaccine. Generally, the prevalence of behavioral intention in Ethiopia is low. Males, degree level of education, knowledge about vaccine, attitude toward vaccine subjective norm and perceived behavioral control were found to be significantly associated with intention to receive COVID-19 vaccine. Health education and communication from government sources are very crucial methods to alleviate the negative attitude, poor knowledge, and action need to improve or change the attitude and behavior of influential people within the community or organization to improve intention to take the vaccine.

Early Detection of Renal Impairment Among Patients with Type 2 Diabetes Mellitus Through Evaluation of Serum Cystatin C in Comparison with Serum Creatinine Levels: A Cross-Sectional Study.

BACKGROUND: The proportion of patients with end-stage renal disease caused by diabetes has progressively increased during the last few decades. Serum creatinine level is the most commonly used biochemical parameter to estimate GFR in routine practice. However, 50% of GFR can be lost before significant elevation of serum creatinine. Cystatin C is found to be a new promising marker for early detection of renal diseases. OBJECTIVE OF THE STUDY: The aim of this study was to determine the value of serum cystatin C and serum creatinine levels for early detection of renal disease in patients with type 2 diabetes mellitus. METHODOLOGY: A hospital-based comparative cross-sectional study was conducted with a sample size of 120. For early detection of renal disease in patients with type 2 diabetes mellitus, serum creatinine and cystatin C levels were measured and compared. RESULT AND DISCUSSION: Serum creatinine and cystatin C levels were significantly increased in patients with type 2 diabetes mellitus compared to healthy controls. The mean±SD value of serum creatinine was found to be 0.87±0.44 mg/dL in patients and 0.63±0.27 mg/dL in control. Serum cystatin C level was also found to be significantly (P=0.0001) higher in patients (0.92±0.38 mg/L) compared to controls (0.52±0.20 mg/L). The mean±SD of eGFR in three equations (Creatinine Equation, Cystatin C Equation, and Creatinine-Cystatin C Equation) were 105.7±27.5 mL/min/m2, 90.4±28.2 mL/min/m2, and 100±29.5 mL/min/m2, respectively. CONCLUSION: Cystatin C-based GFR estimation equations detect renal impairment in patients with type 2 diabetes mellitus earlier than creatinine-based GFR estimation equations.