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Background: Undoubtedly, stroke is expanding as a global public health issue. Stroke-related deaths are attributable to modifiable risk factors. A demographic shift in Ethiopia increased the prevalence of stroke risk factors. Furthermore, there is limited relevant information available about stroke. Therefore, the current study sought to evaluate the clinical profiles, comorbidities, and treatment outcomes of stroke in the medical ward of Dessie comprehensive specialized hospital. Methods: A retrospective cross-sectional study design was employed among stroke patients. The study included medical records with complete patient information and a stroke diagnosis that had been verified using imaging techniques. Using simple random sampling, 344 medical records were selected, 312 of which met the requirements for inclusion. The frequency and percentage of sociodemographic characteristics and other variables were described using descriptive statistics. Results: The patients were 59.2 ± 14.6 years old on average. About 14.7% of the study participants were chat chewers. Of stroke victims, about 52.2% had sensory loss and limb weakness. Nearly 44.9% of the patients had hemiplegia or hemiparesis when they were first seen, and 25.3% were unconscious. Hypertension (63.1%), atrial fibrillation (15.1%), and structural heart diseases (12.5%) were the frequently seen co-morbidities in stroke patients. About 35.8% of the patients had fully recovered and were released go from the hospital without suffering any repercussions. However, hospital deaths from stroke accounted for 21.8% of cases. Stroke fatalities usually involved hypertension, atrial fibrillation, and structural heart disorders. Conclusion: Sensory deficits, limb weakness, and mentation loss were all common clinical presentations in stroke patients. In particular, hypertension, atrial fibrillation, and structural heart diseases were commonly seen as comorbidities in stroke patients. Stroke mortality was high in the hospital. Thus, establishing promotive, preventive, curative, and rehabilitative strategies is indispensable.

Introduction: Following the recommendation of the Global Leprosy Strategy, Ethiopia targeted to reduce the incidence of new leprosy cases, and the proportion with severe disability (grade 2) from 13.6% in 2016 to < 1% in 2020. This study assessed the clinical profile of new leprosy cases and the sequelae of previously treated ones 20 years after leprosy was eliminated as a public health problem in the country. Methodology: Hospital based cross sectional study was conducted by reviewing the medical records of all leprosy patients seen at the dermatology clinic of Boru Meda Hospital from August to December 2018.The data were captured using a standard data collection form. Results: Over the study period, 57 (27.4%) new cases and 151 (72.6%) previously treated cases were seen.The median age was 44 years (interquartile range 32-57). Among the newly diagnosed cases, two were under the age of 15 years , 51 (89.5%) were multibacillary and 34 (59.6%) had grade 2 disability. This included visual impairment in 10 (17.5%) and neurological complications in 44 (77.2%). Of the 151 previously treated cases, 104 (68.9%) presented with disabilities, including 97 (64.2%) with grade 2. Amongst previously treated cases, 130 (86.1%) had neurological complications. In addition, 53 (35.1%) had vision impairment. Conclusions: This study showed evidence of ongoing leprosy transmission and delayed diagnosis in the country. This calls for operational research to determine the underlying reasons and provide ways forward. At the same time, the high burden of disabilities in previously treated cases should be addressed.

Background Available evidence showed that metabolic syndrome in the adult population is persistently elevated due to nutrition transition, genetic predisposition, individual-related lifestyle factors, and other environmental risks. However, in developing nations, the burden and scientific evidence on the pattern, and risk exposures for the development of the metabolic syndrome were not adequately investigated. Thus, the study aimed to measure the prevalence of metabolic syndrome and to identify specific risk factors among adult populations who visited Dessie Comprehensive Specialized Hospital, Ethiopia. Methods A hospital-based cross-sectional study was conducted among randomly selected 419 adults attending Dessie Comprehensive Specialized Hospital from January 25 to February 29, 2020. We used the WHO STEP-wise approach for non-communicable disease surveillance to assess participants’ disease condition. Metabolic syndrome was measured using the harmonized criteria recommended by the International Diabetes Federation Task Force in 2009. Data were explored for missing values, outliers and multicollinearity before presenting the summary statistics and regression results. Multivariable logistic regression was used to disentangle statistically significant predictors of metabolic syndrome expressed using an odds ratio with a 95% of uncertainty interval. All statistical tests were managed using SPSS version 26. A non-linear dose-response analysis was performed to show the relationships between metabolic syndromes with potential risk factors. Results The overall prevalence of metabolic syndrome among adults was 35.0% (95% CI, (30.5, 39.8)). Women were more affected than men (i.e. 40.3% vs 29.4%). After adjusting for other variables, being female [OR = 1.85; 95% CI (1.01, 3.38)], urban residence [OR = 1.94; 95% CI (1.08, 3.24)], increased age [OR = 18.23; 95% CI (6.66, 49.84)], shorter sleeping durations [OR = 4.62; 95% CI (1.02, 20.98)], sedentary behaviour [OR = 4.05; 95% CI (1.80, 9.11)], obesity [OR = 3.14; 95% CI (1.20, 8.18)] and alcohol drinking [OR = 2.85; 95% CI (1.27,6.39)] were positively associated with the adult metabolic syndrome. Whilst have no formal education [OR = 0.30; 95% CI (0.12, 0.74)] was negatively associated with metabolic syndrome. Conclusions The prevalence of adult metabolic syndrome is found to be high. Metabolic syndrome has linear relationships with BMI, physical activity, sleep duration, and level of education. The demographic and behavioural factors are strongly related with the risk of metabolic syndrome. Since most of the factors are modifiable, there should be urgent large-scale community intervention programs focusing on increased physical activity, healthy sleep, weight management, minimize behavioural risk factors, and healthier food interventions targeting a lifecycle approach. The existing policy should be evaluated whether due attention has given to prevention strategies of NCDs.

In this study, we described the proportion of COVID-19 patients started on antibiotics empirically and the work-ups performed to diagnose bacterial superinfection. We used a retrospective cohort study design involving medical records of symptomatic, hospitalized COVID-19 patients who were admitted to these centers. A total of 481 patients were included, with a median age of 41.0 years (interquartile range, 28-58.5 years). A total of 72.1% (N = 347) of COVID-19 patients received antibiotics, either before or during admission. This is troublesome because none of the patients' bacterial culture or inflammatory markers, such as the erythrocyte sedimentation rate or C-reactive protein, were evaluated, and only 73 (15.2%) underwent radiological investigations. Therefore, national COVID-19 guidelines should emphasize the rational use of antibiotics for the treatment of COVID-19, a primarily viral disease. Integrating antimicrobial stewardship into the COVID-19 response and expanding microbiological capacities in low-income countries are indispensable. Otherwise, we risk one pandemic aggravating another. ispartof: AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE vol:105 issue:6 pages:1519-1520 ispartof: location:United States status: published

Background HIV is a major public health issue, especially in developing countries. It is important to track and design successful intervention programs to explore the spatial pattern, distribution, and associated factors of HIV Seropositivity. This study therefore showed the spatial variation of HIV Seropositivity and related factors in Ethiopia. Methods A total sample of 25,774 individual data collected from the 2016 EDHS data were primarily HIV biomarkers, IR, MR, and GPS. Spatial heterogeneity analysis was used with methods such as Morans I, Interpolation, and Kulldorff ‘s scan statistic. Spatial analysis was conducted using open source tools (QGIS, GeoDa, SaTScan). Multilevel logistic regression analysis was performed using Stata14 to identify HIV-associated factors. Finally, the AOR with a 95% confidence interval was used to report the mixed-effect logistic regression result in the full model. Result The prevalence of HIV / AIDS at national level was 0.93%. The highest prevalence regions were Gambela, Addis Abeba, Harari and Diredawa, accounting for 4.79, 3.36, 2.65 and 2.6%, respectively. Higher HIV seropositive spatial clusters have been established in the Gambela and Addis Ababa regions. Multilevel analysis at the individual level being married [AOR = 2.19 95% CI: (1.11–4.31)] and previously married [AOR = 6.45, 95% CI: (3.06–13.59)], female [AOR = 1.8, 95% CI: (1.19–2.72)], first-sex at age ≤15 [AOR = 4.39, 95% CI: (1.70–11.34)], 18—19 [AOR = 2.67 95% CI: (1.05–6.8)], middle age group (25-34) [AOR = 6.53, 95% CI: (3.67–11.75)], older age group (>34) [AOR = 2.67 95% CI: (1.05–6.8)], primary school [AOR = 3.03, 95% CI: (1.92–4.79)], secondary school [AOR = 3.37, 95% CI: (1.92–5.92) were significantly associated with serropositivity. Regarding household level, place of residence [urban: AOR = 6.13 CI: (3.12, 12.06)], female-headed households (AOR = 2.24 95% CI: (1.57–3.73), media exposure [low exposure (AOR = 0.53 95% CI: (0.33–0.86), no exposure AOR = 0.39 95% CI: (0.23–0.65)] and increased household size [AOR = 0.72 95% CI: (0.65–0.8)] were associated with HIV Seropositivity. Conclusion High cluster HIV cases were found in Gambela, Addis Abeba, Harari, and Diredawa. Having a history of married, start sex at a younger age, female-headed household, urban residence, and lower household size is more affected by HIV/AIDS. So any concerned body work around this risk group and area can be effective in the reduction of transmission.

Background Nutritional, epidemiological and demographic transitions have been associated with the emergence of the double burden of malnutrition globally. In Ethiopia, there has been no nationally representative investigation of trends and determinants of both underweight and overweight/obesity among urban women. This study examined the trends and determinants of underweight and overweight/obesity in urban Ethiopian women from 2000 to 2016. Methods Trends in the prevalence of underweight and overweight/obesity were investigated based on a series of the Ethiopia Demographic and Health Survey (EDHS) data for the years 2000 (n = 2559), 2005 (n = 1112), 2011 (n = 3569), and 2016 (n = 3106). Multivariable multinomial logistic regression was used to investigate the association between socioeconomic, demographic, behavioural, and community-level factors with underweight and overweight/obesity. Results The prevalence of underweight in urban Ethiopian women reduced significantly from 23.2% (95% confidence interval [CI]: 20.3, 26.3%) in 2000 to 14.8% (95% CI: 13.1, 16.7%) in 2016, while overweight/obesity increased significantly from 10.9% (95% CI: 9.1, 13.0%) in 2000 to 21.4% (95% CI: 18.2, 25.1%) in 2016. Urban women from rich households and those who had never married were less likely to be underweight. Urban women who were from wealthy households and those who attained at least secondary education were more likely to be overweight/obese. Women who were informally employed and listened to the radio were less likely to be overweight/obese compared to those who were unemployed and did not listen to the radio, respectively. Conclusion The prevalence of overweight/obesity increased from 2000 to 2016, with a concurrent reduction in the prevalence of underweight. Interventions aiming to reduce overweight and obesity should target urban women with higher education, those who resided in wealthier households and those who watched the television.

Background One third of global antmicrobial resistance deaths are attributed to drug resistant tuberculosis. Lost to follow-up is one of the causes of the development of acquired drug resistant tuberculosis. There is a gap in nationally representative reliable information on lost to follow-up among patients with drug-resistant tuberculosis in Ethiopia. Objective To estimate the pooled prevalence and associated factors of lost to follow-up among patients with drug resistant tuberculosis in Ethiopia. Methods Observational studies searched from PubMed, HINARI and CINAHL were screened for eligibility. After assessing the quality of studies, data were extracted using a checklist. Heterogeneity was assessed using forest plot, Q and I2. The random effects meta-analysis model was employed to pull the prevalence of lost to follow-up. Sub-group analysis and meta regression were performed to identify the sources of heterogeneity. Publication bias was assessed using funnel plots with Egger’s and Begg’s tests. Sensitivity analysis was performed to assess the influence of individual studies on the overall estimate. The odds ratios were used to measure associations. Results The review was performed among 11 studies of which 9 were cohort studies. The sample sizes ranged from 90 to 612 and comprised a total of 3,510 participants. The pooled prevalence of lost to follow-up was 8.66% (95% CI, 5.01–13.14) with a high heterogeneity (I2 = 93.49%, p Conclusion There was a high prevalence of lost to follow-up among multi-drug resistant tuberculosis patients in Ethiopia. Anatomical site of tuberculosis was a significant factor affecting lost to follow-up. Strengthening the health care system and patient education should be given a due emphasis. Registration number CRD42020153326; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=153326.

Poor adherence was the major challenge in providing treatment, care, and support for people living with HIV (PLHIV). Evidence of adherence to antiretroviral therapy (ART) after initiation of the Universal Test and Treat (UTT) strategy was limited in Ethiopia. So, this study aimed to determine the proportion of ART adherence after the initiation of UTT strategy and associated factors among adult PLHIV in Dessie town using two adherence measurements. A cross-sectional study was conducted on 293 PLHIV selected using a systematic sampling technique. The data were collected by face-to face-interview using a pretested questionnaire; chart review was also used to collect the data. The proportion of ART adherence measured by using the Morisky scale and seven-day recall was 49.3% (95% CI: [43.5%, 54.8%]) and 95.9% (95% CI: [93.2%, 98.2%]), respectively. Being urban in residence (AOR = 3.72, 95% CI: [1.80, 7.68]), the absence of depression (adjusted odds ratio [AOR] = 3.72, 95% CI: [1.22, 11.35]), taking one tablet per day (AOR = 3.26, 95% CI: [1.64, 6.49]), and the absence of concomitant illness (AOR = 0.23, 95% CI: [0.09, 0.59]) were factors associated with ART adherence. The proportion of ART adherence measured by the Morisky scale was very low; however, adherence measured by seven-day recall was higher and consistent with World Health Organization recommendations. Residence, depression, and the number of tablets taken per day had a positive association with good ART adherence whereas having concomitant illness had a negative association with good ART adherence. Efforts should be made to improve adherence and interventions should be given to overcome factors linked with poor adherence.

BackgroundUnderweight, overweight, and obesity are major public health challenges among reproductive-age women of lower- and middle-income countries (including Tanzania). In those settings, obesogenic factors (attributes that promote excessive body weight gain) are increasing in the context of an existing high burden of undernutrition. The present study investigated factors associated with underweight, overweight, and obesity among reproductive age women in Tanzania.MethodsThis study used 2015-16 Tanzania Demographic and Health Survey data (n = 11735). To account for the hierarchical nature of the data (i.e., reproductive age women nested within clusters), multilevel multinomial logistic regression models were used to investigate the association between individual-level (socioeconomic, demographic and behavioural) and community-level factors with underweight, overweight, and obesity.ResultsReproductive age women who were informally employed (relative risk ratio [RRR] = 0.79; 95% confidence interval [CI]: 0.64, 0.96), those who were currently married (RRR = 0.59; 95% CI: 0.43, 0.82) and those who used contraceptives (RRR = 0.70; 95% CI: 0.54, 0.90) were less likely to be underweight. Reproductive age women who attained secondary or higher education (RRR = 1.48; 95% CI: 1.11, 1.96), those who resided in wealthier households (RRR = 2.31; 95% CI: 1.78, 3.03) and those who watched the television (RRR = 1.26; 95% CI: 1.06, 1.50) were more likely to be overweight. The risk of experiencing obesity was higher among reproductive age women who attained secondary or higher education (RRR = 1.79; 95% CI: 1.23, 2.61), those who were formally employed (RRR = 1.50; 95% CI: 1.14, 1.98), those who resided in wealthier households (RRR = 4.77; 95% CI: 3.03, 7.50), those who used alcohol (RRR = 1.43; 95% CI: 1.12, 1.82) and/or watched the television (RRR = 1.70; 95% CI: 1.35, 2.13).ConclusionOur study suggests that relevant government jurisdictions need to identify, promote, and implement evidence-based interventions that can simultaneously address underweight and overweight/obesity among reproductive age women in Tanzania.

IMPORTANCE: Understanding global variation in firearm mortality rates could guide prevention policies and interventions. OBJECTIVE: To estimate mortality due to firearm injury deaths from 1990 to 2016 in 195 countries and territories. DESIGN, SETTING, AND PARTICIPANTS: This study used deidentified aggregated data including 13 812 location-years of vital registration data to generate estimates of levels and rates of death by age-sex-year-location. The proportion of suicides in which a firearm was the lethal means was combined with an estimate of per capita gun ownership in a revised proxy measure used to evaluate the relationship between availability or access to firearms and firearm injury deaths. EXPOSURES: Firearm ownership and access. MAIN OUTCOMES AND MEASURES: Cause-specific deaths by age, sex, location, and year. RESULTS: Worldwide, it was estimated that 251 000 (95% uncertainty interval [UI], 195 000-276 000) people died from firearm injuries in 2016, with 6 countries (Brazil, United States, Mexico, Colombia, Venezuela, and Guatemala) accounting for 50.5% (95% UI, 42.2%-54.8%) of those deaths. In 1990, there were an estimated 209 000 (95% UI, 172 000 to 235 000) deaths from firearm injuries. Globally, the majority of firearm injury deaths in 2016 were homicides (64.0% [95% UI, 54.2%-68.0%]; absolute value, 161 000 deaths [95% UI, 107 000-182 000]); additionally, 27% were firearm suicide deaths (67 500 [95% UI, 55 400-84 100]) and 9% were unintentional firearm deaths (23 000 [95% UI, 18 200-24 800]). From 1990 to 2016, there was no significant decrease in the estimated global age-standardized firearm homicide rate (-0.2% [95% UI, -0.8% to 0.2%]). Firearm suicide rates decreased globally at an annualized rate of 1.6% (95% UI, 1.1-2.0), but in 124 of 195 countries and territories included in this study, these levels were either constant or significant increases were estimated. There was an annualized decrease of 0.9% (95% UI, 0.5%-1.3%) in the global rate of age-standardized firearm deaths from 1990 to 2016. Aggregate firearm injury deaths in 2016 were highest among persons aged 20 to 24 years (for men, an estimated 34 700 deaths [95% UI, 24 900-39 700] and for women, an estimated 3580 deaths [95% UI, 2810-4210]). Estimates of the number of firearms by country were associated with higher rates of firearm suicide (P

Introduction: The majority of neglected tropical diseases (NTDs) have established primary skin manifestations or associated clinical feature. Skin NTDs often result in physical impairment and disfigurement, which can lead to disability. Skin diseases have been proposed as an entry point for integrated NTDs control. However, the magnitude and overlap of skin NTDs is poorly understood. Methodology: An institution-based cross-sectional study was done using medical records of dermatology patients between July 2017 and June 2018 in a dermatology service in Northeast Ethiopia. A total of 661 patient records were selected using simple random sampling. Results: A total of 656 complete records were included in analysis. Skin NTDs constituted 17.2% (n = 113) of the overall of skin diseases. Of skin NTDS, cutaneous leishmaniasis (n = 40; 35.4%), leprosy (n = 38; 33.6%), and scabies (n = 31; 27.4%) were the most common. Additionally, there were four cases of mycetoma. Of the non NTDs, poverty-related infections such as superficial fungal (n = 118; 21.1%) and bacterial (n = 33; 5.2%) infections were also frequent. Tinea capitis was the most common superficial fungal infections. Impetigo and cellulitis were the predominant bacterial infections. Conclusions: Skin NTDsand other poverty related skin infections were common at the dermatology service. Dermatological services could act as a good entry point for integrated management of skin NTDs. Future studies should assess how different preventive strategies like contact tracing, early diagnosis and mass drug administration can be integrated.

Source at: http://doi.org/10.1056/NEJMoa1614362 Background: Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. Methods: We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015. Restults: In 2015, a total of 107.7 million children and 603.7 million adults were obese. Since 1980, the prevalence of obesity has doubled in more than 70 countries and has continuously increased in most other countries. Although the prevalence of obesity among children has been lower than that among adults, the rate of increase in childhood obesity in many countries has been greater than the rate of increase in adult obesity. High BMI accounted for 4.0 million deaths globally, nearly 40% of which occurred in persons who were not obese. More than two thirds of deaths related to high BMI were due to cardiovascular disease. The disease burden related to high BMI has increased since 1990; however, the rate of this increase has been attenuated owing to decreases in underlying rates of death from cardiovascular disease. Conclusions: The rapid increase in the prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence-based interventions to address this problem.