Serum level of high sensitive C-reactive protein and IL − 6 markers in patients with treatment-resistant schizophrenia in Ethiopia: a comparative study

Background Accumulating evidence indicates that schizophrenia is accompanied by significant activation of the immune system; however, there is limited data from low and middle-income countries (LMIC). Inflammatory markers may be more relevant in LMIC settings where infectious conditions are more prevalent and may thus play some role in the causation and maintenance of schizophrenia. The aim of this study was to assess the level of inflammatory markers high sensitive C-reactive protein (hsCRP) and interleukin-6 (IL-6) in patients with schizophrenia. Materials and methods The study population consisted of a total of 132 study participants; 82 participants with schizophrenia and 50 controls. hsCRP and IL-6 were measured using Cobas Integra 400 Plus and Cobas e 411 analysers respectively. Results The levels of hsCRP and IL-6 were significantly increased among participants with schizophrenia compared to controls: hsCRP mean value 2.87 ± 5.6 vs 0.67 ± 0.6 mg/L; IL-6 mean value 6.63 ± 5.6 vs 3.37 ± 4.0 pg/ml. Controlling for potential confounders (age, sex and body mass index), having a diagnosis of schizophrenia remained significantly associated with increased hsCRP and IL-6. Conclusion The results confirm that inflammatory processes may have a role in the pathophysiology of schizophrenia regardless of setting. Despite failure of some interventions with anti-inflammatory properties, interventions to reduce inflammation are still worth pursuing

Non-communicable diseases in Ethiopia: policy and strategy gaps in the reduction of behavioral risk factors

Introduction: Non-communicable diseases (NCDs) are the leading cause of death worldwide. Over 80% of NCD deaths occur in developing countries. Four modifiable behaviors, namely tobacco use, consumption of unhealthy diet, physical inactivity, and the harmful use of alcohol, contribute to 80% of the NCD burden. Studies show that the vast majority of NCDs can be prevented through behavioral risk-reduction interventions. Properly executed, the interventions could lead to a decrease in the burden of NCDs, ranging from a 30% drop in the prevalence of cancer to a 75% reduction in cardiovascular diseases. This study examined the policy and strategy gaps in the reduction of the modifiable NCD behavioral risk factors in Ethiopia to inform and guide policy-makers and other stakeholders. Methodology: This study used a data triangulation methodology with a sequential, explanatory, mixed-method design conducted in two stages. The authors carried out quantitative analysis on the prevalence and distribution of behavioral risk factors from the Ethiopia NCD STEPwise approach to surveillance (STEPS) survey. Qualitative data on national policies and strategies complemented the analysis of the progress made so far and the existing gaps. Results and Discussion: Ethiopia has made substantial progress in responding to the NCD epidemic by developing a health sector NCD strategic action plan, generating evidence, and setting time-bound national targets on NCD behavioral risk factors. Activities mainly aimed at reducing tobacco use, such as implementation of the ratified WHO Framework Convention on Tobacco Control (FCTC), using evidence of the Global Adult Tobacco Survey (GATS), and the articulation of legislative measures are ongoing. On this paper our analysis reveals policy and strategy gaps, status in law enforcement, social mobilization, and awareness creation to reduce the major behavioral risk factors. Conclusions: NCDs share common risk factors and risk reduction strategies creates an opportunity for an effective response. However, the national response still needs more effort to have a sufficient impact on the prevention of NCDs in Ethiopia. Thus, there is an urgent need for the country to develop and implement targeted strategies for each behavioral risk factor and design functional, multisectoral coordination. There is also a need for establishing sustainable financial mechanisms, such as increasing program budgets and levying ‘sin taxes,’ to support the NCD prevention and control program. Ethiop. J. Health Dev. 2019; 33(4):259-268] Key words: NCDs, behavioral risk factors, policy, strategy, multisectoral coordination, Ethiopi

Non-communicable Diseases in Ethiopia: Disease burden, gaps in health care delivery and strategic directions.

Abstract Introduction: In Ethiopia, non-communicable diseases (NCDs) cause 42% of deaths, of which 27% are premature deaths before 70 years of age. The Disability Adjusted Life Years (DALYs) increased from below 20% in 1990 to 69% in 2015. With no action, Ethiopia will be the first among the most populous nations in Africa to experience dramatic burden of premature deaths and disability from NCDs by 2040. However, the national response to NCDs remains fragmented with the total health spending per capita for NCDs still insignificant. The focus of this paper is highlighting the burden of NCDs in Ethiopia and analyzing one of the two major WHO recommended policy issues; the status of integrated management of NCDs, in Ethiopia. NCDs are complex conditions influenced by a range of individual, social and economic factors, including our perceptions and behavior. Also, NCDs tend to be easily overlooked by individuals and policy makers due to their silent nature. Thus, effectively addressing NCDs requires a fresher look into a range of health system issues, including how health services are organized and delivered.Methods: A mixed method approach with quantitative and qualitative data was used. Quantitative data was obtained through analysis of the global burden of diseases study, WHO-STEPs survey, Ethiopian SARA study and the national essential NCD drug survey. This was supplemented by qualitative data through review of a range of documents, including the national NCD policies and strategies and global and regional commitments.Results and discussion: In 2015, NCDs were the leading causes of age-standardized death rate (causing 711 deaths per 100,000 people (95% UI: 468.8–1036.2) and DALYs. The national estimates of the prevalence of NCD metabolic risk factors showed high rates of raised blood pressure (16%), hyperglycemia (5.9%), hypercholesterolemia (5.6%), overweight (5.2%) and Obesity (1.2%). Prevalence of 3-5 risk factors constituting a metabolic syndrome was 4.4%. Data availability on NCD morbidity and mortality is limited. While there are encouraging actions on NCDs in terms of political commitment, lot of gaps as shown by limited availability of resources for NCDs, NCD prevention and treatment services at the primary health care (PHC) level. Shortage of essential NCD drugs and diagnostic facilities and lack of treatment guidelines are major challenges. There is a need to re-orient the national health system to ensure recognition of the NCD burden and sustain political commitment, allocate sufficient funding and improve organization and delivery of NCD services at PHC level. [Ethiop. J. Health Dev. 2018;32 (3):00-000]Key words: Non-communicable diseases, health-system re-orientation, NCD burden, metabolic risk factors, Service delivery, Primary Health Car

Tobacco use and its predictors among Ethiopian adults: A further analysis of Ethiopian NCD STEPS survey-2015

Background: Consuming any form of tobacco is one of the leading causes of preventable morbidity and mortality. Tobacco smoking has been identified as one of the major risk factors for NCDs, including cardiovascular, chronic respiratory diseases, and different cancers. Although there is national information on magnitude of tobacco use, to date there is limited nationally representative data on factors associated with tobacco use. The aim of this study is to assess the distribution and predicators of tobacco use in Ethiopian adult population between 15 -59.Objectives: The main aim of this study was to assess the prevalence of tobacco use and its predictor in Ethiopia.Methods: A cross-sectional population based study design was employed among population age from 15- 69 years. A stratified, three-stage cluster sampling was used to identify the study subjects. Households in each cluster were selected using simple random sampling method. The sampling frame was based on the population and housing census conducted for Ethiopia in 2007. Data was collected using WHO NCD STEPS questionnaire; current tobacco use of any type was taken as the dependent variable. Five hundred thirteen enumeration areas (EAs) as primary sampling units (PSUs) (404 rural and 109 urban) were selected with probability proportionate to size, followed by selection of households as a secondary sampling units (SSUs). A total of 10,260 households were selected from the 513 EAs (20 households per EA). Eligible individuals were selected from households using Kish method (a pre-assigned table of random numbers to find the person to be interviewed). Descriptive statistics using frequency table, mean, median, interquartile range and standard deviations were computed. Step wise logistic regression was used to analyse the predictors of tobacco use. An Estimator of 95% confidence interval was used both for computing descriptive statistics as well testing associations using logistic regression.Results: The prevalence of tobacco use (all tobacco products) was 4.2%. The mean age (± SD) of starting tobacco use was 21(7) years. The mean frequency of tobacco use was 2 times per day. Hierarchical Logistic regression analysis revealed that participants in age groups 30-44 years, and 60-69 years were less likely to use any tobacco type compared to younger age group of15-29 years. Heavy episodic drinking, AOR 2.46 [95% CI= 1.4 – 4.5], and khat chewing, AOR 4.71[95%= 2.26 – 9.8], were independently associated with tobacco use.Conclusion and recommendations: The overall prevalence of tobacco use was relatively higher in males. Factors associated with tobacco use were heavy episodic drinking and khat chewing. Although tobacco use is an important risk factor for different disease on its own, the additional use of these substances exposes individuals to increased risk of NCDs. The findings warrant the need to implement existing anti-tobacco laws in the country, enhance anti-tobacco awareness raising efforts, and implement interventions to help current tobacco users, focusing attention more on regions with high rates of tobacco use and males. Key words: Ethiopia, NCDs, Predictors, Risk factors, Tobacco use, WHO STEP

Prognostic Value of C-Reactive Protein in SARS-CoV-2 Infection: A Simplified Biomarker of COVID-19 Severity in Northern Ethiopia

Purpose To evaluate the role of C-reactive protein (CRP) in predicting severe COVID-19 patients. Methods A prospective observational cohort study was conducted from July 15 to October 28, 2020, at Kuyha COVID-19 isolation and treatment center hospital, Mekelle City, Northern Ethiopia. A total of 670 blood samples were collected serially. SARS-CoV-2 infection was confirmed by RT-PCR from nasopharyngeal swabs and CRP concentration was determined using Cobas Integra 400 Plus (Roche). Data were analyzed using STATA version 14. P-value < 0.05 was considered statistically significant. Results Overall, COVID-19 patients had significantly elevated CRP at baseline when compared to PCR-negative controls [median 11.1 (IQR: 2.0– 127.8) mg/L vs 0.9 (IQR: 0.5– 1.9) mg/L; p=0.0004)]. Those with severe COVID-19 clinical presentation had significantly higher median CRP levels compared to those with non-severe cases [166.1 (IQR: 48.6– 332.5) mg/L vs 2.4 (IQR: 1.2– 7.6) mg/L; p< 0.00001)]. Moreover, COVID-19 patients exhibited higher median CRP levels at baseline [58 (IQR: 2.0– 127.8) mg/L] that decreased significantly to 2.4 (IQR: 1.4– 3.9) mg/L after 40 days after symptom onset (p< 0.0001). Performance of CRP levels determined using ROC analysis distinguished severe from non-severe COVID-19 patients, with an AUC value of 0.83 (95% CI: 0.73– 0.91; p=0.001; 77.4% sensitivity and 89.4% specificity). In multivariable analysis, CRP levels above 30 mg/L were significantly associated with an increased risk of developing severe COVID-19 for those who have higher ages and comorbidities (ARR 3.99, 95% CI: 1.35– 11.82; p=0.013). Conclusion CRP was found to be an independent determinant factor for severe COVID-19 patients. Therefore, CRP levels in COVID-19 patients in African settings may provide a simple, prompt, and inexpensive assessment of the severity status at baseline and monitoring of treatment outcomes

Longitudinal profile of antibody response to SARS-CoV-2 in patients with COVID-19 in a setting from Sub-Saharan Africa: A prospective longitudinal study.

BACKGROUND Serological testing for SARS-CoV-2 plays an important role for epidemiological studies, in aiding the diagnosis of COVID-19, and assess vaccine responses. Little is known on dynamics of SARS-CoV-2 serology in African settings. Here, we aimed to characterize the longitudinal antibody response profile to SARS-CoV-2 in Ethiopia. METHODS In this prospective study, a total of 102 PCR-confirmed COVID-19 patients were enrolled. We obtained 802 plasma samples collected serially. SARS-CoV-2 antibodies were determined using four lateral flow immune-assays (LFIAs), and an electrochemiluminescent immunoassay. We determined longitudinal antibody response to SARS-CoV-2 as well as seroconversion dynamics. RESULTS Serological positivity rate ranged between 12%-91%, depending on timing after symptom onset. There was no difference in positivity rate between severe and non-severe COVID-19 cases. The specificity ranged between 90%-97%. Agreement between different assays ranged between 84%-92%. The estimated positive predictive value (PPV) for IgM or IgG in a scenario with seroprevalence at 5% varies from 33% to 58%. Nonetheless, when the population seroprevalence increases to 25% and 50%, there is a corresponding increases in the estimated PPVs. The estimated negative-predictive value (NPV) in a low seroprevalence scenario (5%) is high (>99%). However, the estimated NPV in a high seroprevalence scenario (50%) for IgM or IgG is reduced significantly to 80% to 85%. Overall, 28/102 (27.5%) seroconverted by one or more assays tested, within a median time of 11 (IQR: 9-15) days post symptom onset. The median seroconversion time among symptomatic cases tended to be shorter when compared to asymptomatic patients [9 (IQR: 6-11) vs. 15 (IQR: 13-21) days; p = 0.002]. Overall, seroconversion reached 100% 5.5 weeks after the onset of symptoms. Notably, of the remaining 74 COVID-19 patients included in the cohort, 64 (62.8%) were positive for antibody at the time of enrollment, and 10 (9.8%) patients failed to mount a detectable antibody response by any of the assays tested during follow-up. CONCLUSIONS Longitudinal assessment of antibody response in African COVID-19 patients revealed heterogeneous responses. This underscores the need for a comprehensive evaluation of seroassays before implementation. Factors associated with failure to seroconvert needs further research

Lipid Profile in Tuberculosis Patients with and without Human Immunodeficiency Virus Infection

Background. Understanding whether the preceding low lipid profile leads to active tuberculosis (TB) or active TB leads to low lipid profile is crucial. Methods. Lipid profile concentrations were determined from 159 study participants composed of 93 active TB patients [44 HIV coinfected (HIV+TB+) and 49 HIV negative (HIV−TB+)], 41 tuberculin skin test (TST) positive cases [17 HIV coinfected (HIV+TST+) and 24 HIV negative (HIV−TST+)], and 25 healthy controls (HIV−TST−). Cobas Integra 400 Plus was used to determine lipid profiles concentration level. Results. The concentrations of total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) in HIV−TB+ patients were significantly lower compared to HIV−TST+ and to HIV−TST− individuals. Similarly, the concentrations of the TC, LDL-C, and HDL-C in HIV+TB+ were significantly lower compared to HIV−TB+ patients. After the 6 months of anti-TB treatment (ATT), the concentration levels of TC, LDL-C, and HDL-C in HIV−TB+ patients were higher compared to the baseline concentration levels, while they were not significantly different compared to that of HIV−TST+ concentration. Conclusion. The low concentration of lipid profiles in TB patients may be a consequence of the disease and significantly increased in TB patients after treatment

Prevalence of Hyperhomocysteinaemia and Associated Factors among Ethiopian Adult Population in a 2015 National Survey

Hyperhomocysteinaemia (HHcy) is an independent risk factor for major cardiovascular diseases, but data on the prevalence and predictors of HHcy in low- and middle-income countries like Ethiopia are scant. The aim of this study was to estimate the prevalence of HHcy and associated risk factors in the Ethiopian adult population. A cross-sectional survey on risks of noncommunicable diseases (NCDs) using the STEPwise approach to surveillance (STEPS) survey was conducted between April and June 2015. A total of 4,175 study participants were surveyed. Serum homocysteine (Hcy) and metabolic profile were determined using Cobas Integra 400 Plus and CardioChek PA analyzer, respectively. Factors associated with HHcy were determined using logistic regression. The mean serum tHcy concentration was 14.6 μmol/L, with 16.4 μmol/L in males and 13.4 μmol/L in females. Overall, 38% had HHcy, with figures in males (49%) higher than females (30%). Increased age, being male, and high blood pressure and/or taking blood pressure medication, as well as low consumption of fruit and/or vegetables, were independent risk factors for HHcy. In conclusion, the prevalence of HHcy among the adult Ethiopian population is alarmingly high. Improving diets through the promotion of fruit and vegetable consumption is needed to reduce the risk of NCDs

Co-occurrence of iron, folate, and vitamin A deficiency among pregnant women in eastern Ethiopia: a community-based study

Abstract Background It is well known that the magnitude of undernutrition in Ethiopia is unacceptably high. The burden of co-occurrence of iron, folate, and vitamin A deficiency, on the other hand, has received less attention. Thus, in this study, we looked at the prevalence of iron, folate, and vitamin A deficiency in pregnant women in eastern Ethiopia. Methods A community-based cross-sectional study was conducted among 397 pregnant women in Haramaya district, eastern Ethiopia. An interview-assisted questionnaire and blood serum were collected from pregnant women using standard techniques and shipped to an EPHI for micronutrient analysis. Factors associated with the co-occurrence of iron, folate, and vitamin A deficiency were identified using binary and multiple logistic regressions. Results According to this study, 81.6% of the participants were deficient in at least one micronutrient, and 53.53.2% were deficient in two or more. Women who did not receive iron-folic acid supplementation (AOR = 2.44; 95% CI = 1.52–3.92), did not attend Antenatal care (ANC) follow up (AOR = 2.88; 95% CI = 1.81–4.61), and reported low consumption of diversified diet (AOR = 2.18 (95% CI = 1.35–3.51) had a higher risk of co-occurrence of iron, folate, and vitamin A deficiency. Conclusion This study found that more than half of pregnant women were in multiple micronutrients, indicating a major public health issue. In addition to the IFA supplementation programs that are already in place, there is a need for multiple micronutrient supplementation