Contraceptive use and associated factors among women of reproductive age on antiretroviral therapy in Awabel Woreda health centers, Northwest Ethiopia

Background

The family planning options for reproductive-age women who are in antiretroviral therapy should consider different types of contraceptive methods including condom use. There is a high unmet need and unplanned pregnancies in Ethiopia among HIV-positive women. Attention was not given towards contraceptive use for HIV women in Ethiopia including the study area. The study aimed to assess contraceptive use and associated factors among women of reproductive age (15-49 years) on Antiretroviral therapy in Awabel Woreda, Northwest Ethiopia.

Methods

A facility-based cross-sectional study was conducted among 572 women of reproductive age who were receiving HIV care and treatment. Data were collected using interviewer-administered questionnaire, entered by Epidata3.1 and exported to IBM SPSS for statistics version 20 for analysis.Multivariable logistic regression was used to identify factors associated with contraceptive use and the presence of significant association was declared at p-value <0.05 and 95% confidence level.

Result

A total of 526 out of 572 women have responded, with a response rate of 91.9%. Two-thirds (66.5% (95% CI: 63.5, 69.5)) of the study participants were using contraceptive methods at the time of the survey. Women living in areas (Adjusted Odds Ratio = 1.95; 95% CI: 1.16, 3.72), and those who disclosed their HIV status to their partner (Adjusted Odds Ratio = 2.61; 95% CI: 1.37, 4.95) were more likely to use contraceptives. While Women (Adjusted Odds Ratio = 0.41; 95% CI: 0.24, 0.69) and their partners (Adjusted Odds Ratio = 0.57; 95% CI: 0.34, 0.97) who had desire to have a child were less likely to use contraceptives.

Conclusions

The prevalence of contraceptive use among reproductive-age women who were on antiretroviral therapy (ART) was lower than a systematic review done in Ethiopia and higher than the national target. Intervention targeting on implementation of contraceptive methods, and counseling about contraceptives to address their question of fertility desire and knowledge were recommended.

Meat hygiene knowledge, handling practices and associated factors among meat handlers in Gedeo zone, Ethiopia

A cross-sectional study was conducted among 239 randomly selected meat handlers working in butcher shop in southern Ethiopia to assess factors associated with meat hygiene knowledge and practices. A binary logistic regression analysis with a 95% confidence interval (CI) and a p-value < 0.05 was used to identify factors that were significantly associated with good level of meat hygiene knowledge and practices. The findings revealed that 38.5% [95% CI: 32.2-44.8%] and 25.1% [95% CI: 19.7-30.5%] of meat handlers have good levels of meat hygiene knowledge and practices, respectively. Good level of meat hygiene knowledge was significantly (p < 0.05) associated with educational level, having meat hygiene training, and having regular supportive supervision by health workers, whereas good level of meat handling practice was significantly associated with work experience, educational level, have regular supportive supervision by health professionals, and having meat hygiene training. In conclusion, the majority of meat handlers have poor knowledge and practices regarding meat hygiene among meat handlers. Educational level, meat hygiene training, and supportive supervision by a health professionals were all independent predictors of meat hygiene knowledge and practice among meat handlers. As a result, health professionals should give regular training, butcher shop inspections, and supportive supervision for meat handlers in order to improve meat hygiene knowledge and practices among meat handlers.

Metabolic syndrome and its associated factors among type 2 diabetic patients in Mizan-Tepi University Teaching Hospital, Southwest Ethiopia Region

Background

Patients with diabetes mellitus (DM) are prone to modifiable and non-modifiable complications, which can be grouped under metabolic syndrome (MetS). Evaluating MetS in patients with diabetes is critical for the prevention of cardiovascular disease among patients with DM. In Ethiopia, more specifically in the southwest of Ethiopia, these kinds of information are lacking. Thus, this study estimated the prevalence of metabolic syndrome among type 2 diabetic patients and its associated factors.

Methods

A health facility-based cross-sectional study was done from May 1 to 30, 2021. The data were collected using structured questionnaires, laboratory investigations, and anthropometric measurements. MetS was diagnosed using the modified International Diabetic Federation guidelines (IDF) and the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria. The data was entered into Epidata and analyzed using SPSS software. Bivariable and multiple variable logistic regression was done to identify the factors associated with MetS. In multiple-variable logistic regression analysis, variables that have a p-value ≤ 0.05 were declared to have statistical significance.

Result

The majority (31.4%) of study participants were within the age group of 41-50 years and the mean ± SD of age is 51.75 ± 11.66, and 54.9% of them were men. In this study, the prevalence of MetS was 31.4% and 41.2% using the IDF and NCEP-ATP III criteria, respectively. Being a woman (AOR = 11.33, 95% CI; 3.73, 34.34; p < 0.001), having a lower level of education (AOR=7.10, 95% CI; 1.88, 26.70; p <0.004), and performing high physical activities (AOR=0.08, 95%CI; 0.01, 0.40; p <0.002) were significantly associated with MetS.

Conclusion

According to this study, the magnitude of Metabolic Syndrome in Mizan-Teppi University Teaching Hospital was 31.4% and 41.2% using IDF and NCEP-ATP III criteria, respectively. Being a woman and having a lower level of education increased the odds of MetS among patients with DM while performing high physical activities decreased the odds of MetS among patients with DM. Therefore, to prevent metabolic syndrome among type 2 DM patients in the study area, it is crucial to focus on women and individuals who have not had access to adequate education. One way to do this is by prioritizing interventions that involve physical activity.

Delay in diagnosis and associated factors among children with cancer admitted at pediatric oncology ward, University of Gondar comprehensive specialized hospital, Ethiopia: a retrospective cross-sectional study

BACKGROUND

Delay in the diagnosis of childhood cancer is one of the major health problem that contribute to decreased survival rates of children particularly in developing nations. Despite advances in the field of pediatric oncology, cancer remains a leading cause of death in children. Diagnosis of childhood cancer as early as possible is crucial to reduce mortality. Therefore, the aim of this study was to assess delay in diagnosis and associated factors among children with cancer admitted to pediatric oncology ward, University of Gondar comprehensive specialized hospital, Ethiopia 2022.

METHOD

Institutional-based retrospective cross-sectional study design was conducted from January1, 2019 to December 31, 2021 at University of Gondar comprehensive specialized hospital. All 200 children were included in the study and Data were extracted through structured check-list. The data were entered using EPI DATA version 4.6 and exported to STATA version 14.0 for data analysis.

RESULTS

From the total of two hundred pediatric patients 44% had delayed diagnosis and the median delay diagnosis was 68 days. Rural residence (AOR = 1.96; 95%CI = 1.08-3.58), absence of health insurance (AOR = 2.21; 95%CI = 1.21-4.04), Hodgkin lymphoma (AOR = 9.36; 95%CI = 2.1-41.72), Retinoblastoma (AOR = 4.09; 95%CI = 1.29-13.02), no referral (AOR = 6.3; 95%CI = 2.15-18.55) and absence of comorbid disease (AOR = 2.14; 95%CI = 1.17-3.94) were significant factors associated with delay in diagnosis.

CONCLUSION AND RECOMMENDATION

Delayed in diagnosis of childhood cancer was relatively lower than previous studies and most influenced by the child's residency, health insurance, type of cancer and comorbid disease. Thus; every effort should be made to promote public and parental understanding of childhood cancer, promote health insurance and referral.

Overnight admissions to a neonatal intensive care unit in Ethiopia are not associated with increased mortality

Background

In 2019, 2.4 million neonates died globally, with most deaths occurring in low-resource settings. Despite the introduction of neonatal intensive care units (NICUs) in these settings, neonatal mortality remains high, and caring for sick neonates around the clock can be challenging due to limited staff and resources.

Objective

To evaluate whether neonatal intensive care admissions during daytime and overnight hours affects in-hospital neonatal mortality.

Methods

A retrospective case-control study was conducted using 2016 chart data at a University hospital in Ethiopia. Cases were defined as neonates who died in the NICU, and controls were defined as neonates who survived. Overnight hours were defined as 17:00 to 07:59, and day hours were defined as 08:00 to 16:59. Univariate and multivariate logistic regressions were used to investigate the relationship between time of admission and mortality, along with perinatal characteristics.

Results

A total of 812 neonates, 207 cases and 605 controls, met inclusion criteria. There were 342 admissions during the day and 470 overnight. Neonatal mortality (aOR 1.02, 95% CI [0.64–1.62], p = 0.93) was not associated with overnight admissions after controlling for maternal age, parity, C-section, birthweight, and gestational age, respiratory distress, and admission level of consciousness. Admission heart rate >160 (aOR 0.52, 95% CI [0.30–0.91], p = 0.02) was the only variable significantly associated with overnight admissions.

Conclusion

Being admitted overnight to the NICU in Gondar, Ethiopia was not associated with increased mortality, consistent with a constant level of care, regardless of the time of admission. Further qualitative and implementation research are needed to understand contextual factors that have affected these data.

Hematological malignancies in the Northwest Ethiopia

BACKGROUND

The effect of malignant diseases is increasing globally, particularly in developing countries as shown by recent cancer statistics from the world health organization reports. It is anticipated that with an increase in life expectancy consequent upon the improved standard of living and increasing urbanization, the burden of hematological malignancies in sub-Saharan Africa particularly in Ethiopia is likely to increase recently. Therefore, this study was aimed to determine the incidence and trend of hematological malignancy in Northwest Ethiopia.

METHODS

A facility-based retrospective study was conducted from 2015 to 2019 at the University of Gondar and Bahir-Dar Felegehiwot comprehensive specialized hospitals. Hematological malignancy data were collected by using a data collection sheet that was consisted of patients' socio-demography, clinical, and laboratory data. Then, data were entered into Epi-info 3.5.1 and exported to SPSS version 20 for analysis. Skewness and kurtosis were used to check data distribution. Descriptive statistics were summarized as percentages, means, and standard deviations of background variables, and the trend were analyzed.

RESULTS

In this study, a total of 1,342 study participants were included. The mean age of study participants was 41.49 ± 16.3 years with a range of 1 to 92 years. About 58.3%, 52.2%, and 80% of the cases were observed among males, 18-45 age group, and urban residences, respectively. Of the total cases, 92.9% and 7.1% were lymphoma and leukemia, respectively. On the other hand, from lymphoma cases, 72.3% and 27.7% were HL and NHL, respectively while from leukemic cases, 61.1%, 23.2, 6.3%, 4.2%, and 5.3% were CLL, ALL, CML, AML, and other HM types, respectively. In this study, there was no trend.

CONCLUSION

We concluded that lymphoma was the dominant type of hematological malignancy observed in northwest Ethiopia. The study indicated that the majority of cases were observed among male, urban residents, and adult populations aged 18-45 years. Therefore, special focus should be given to the highly affected population. Further, a prospective cohort study should be conducted for a better understanding of the prevalence and associated factors to it.

Derivation and validation of a prognostic score for neonatal mortality in Ethiopia: a case-control study

Background

Early warning scores for neonatal mortality have not been designed for low income countries. We developed and validated a score to predict mortality upon admission to a NICU in Ethiopia.

Methods

We conducted a retrospective case-control study at the University of Gondar Hospital, Gondar, Ethiopia. Neonates hospitalized in the NICU between January 1, 2016 to June 31, 2017. Cases were neonates who died and controls were neonates who survived.

Results

Univariate logistic regression identified variables associated with mortality. The final model was developed with stepwise logistic regression. We created the Neonatal Mortality Score, which ranged from 0 to 52, from the model’s coefficients. Bootstrap analysis internally validated the model. The discrimination and calibration were calculated. In the derivation dataset, there were 207 cases and 605 controls. Variables associated with mortality were admission level of consciousness, admission respiratory distress, gestational age, and birthweight. The AUC for neonatal mortality using these variables in aggregate was 0.88 (95% CI 0.85–0.91). The model achieved excellent discrimination (bias-corrected AUC) under internal validation. Using a cut-off of 12, the sensitivity and specificity of the Neonatal Mortality Score was 81 and 80%, respectively. The AUC for the Neonatal Mortality Score was 0.88 (95% CI 0.85–0.91), with similar bias-corrected AUC. In the validation dataset, there were 124 cases and 122 controls, the final model and the Neonatal Mortality Score had similar discrimination and calibration.

Conclusions

We developed, internally validated, and externally validated a score that predicts neonatal mortality upon NICU admission with excellent discrimination and calibration.

Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction

We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRIN2B, HTR2A, NRG1, RELN, SNAP-25, TNIK), brain development, myelination, cell adhesion, glutamate receptor signaling, G-protein-coupled receptor signaling and cAMP-mediated signaling as key to pathophysiology and as targets for therapeutic intervention. Overall, the data are consistent with a model of disrupted connectivity in schizophrenia, resulting from the effects of neurodevelopmental environmental stress on a background of genetic vulnerability. In addition, we show how the top candidate genes identified by CFG can be used to generate a genetic risk prediction score (GRPS) to aid schizophrenia diagnostics, with predictive ability in independent cohorts. The GRPS also differentiates classic age of onset schizophrenia from early onset and late-onset disease. We also show, in three independent cohorts, two European American and one African American, increasing overlap, reproducibility and consistency of findings from single-nucleotide polymorphisms to genes, then genes prioritized by CFG, and ultimately at the level of biological pathways and mechanisms. Finally, we compared our top candidate genes for schizophrenia from this analysis with top candidate genes for bipolar disorder and anxiety disorders from previous CFG analyses conducted by us, as well as findings from the fields of autism and Alzheimer. Overall, our work maps the genomic and biological landscape for schizophrenia, providing leads towards a better understanding of illness, diagnostics and therapeutics. It also reveals the significant genetic overlap with other major psychiatric disorder domains, suggesting the need for improved nosology.

Convergent functional genomics of anxiety disorders: translational identification of genes, biomarkers, pathways and mechanisms

Anxiety disorders are prevalent and disabling yet understudied from a genetic standpoint, compared with other major psychiatric disorders such as bipolar disorder and schizophrenia. The fact that they are more common, diverse and perceived as embedded in normal life may explain this relative oversight. In addition, as for other psychiatric disorders, there are technical challenges related to the identification and validation of candidate genes and peripheral biomarkers. Human studies, particularly genetic ones, are susceptible to the issue of being underpowered, because of genetic heterogeneity, the effect of variable environmental exposure on gene expression, and difficulty of accrual of large, well phenotyped cohorts. Animal model gene expression studies, in a genetically homogeneous and experimentally tractable setting, can avoid artifacts and provide sensitivity of detection. Subsequent translational integration of the animal model datasets with human genetic and gene expression datasets can ensure cross-validatory power and specificity for illness. We have used a pharmacogenomic mouse model (involving treatments with an anxiogenic drug--yohimbine, and an anti-anxiety drug--diazepam) as a discovery engine for identification of anxiety candidate genes as well as potential blood biomarkers. Gene expression changes in key brain regions for anxiety (prefrontal cortex, amygdala and hippocampus) and blood were analyzed using a convergent functional genomics (CFG) approach, which integrates our new data with published human and animal model data, as a translational strategy of cross-matching and prioritizing findings. Our work identifies top candidate genes (such as FOS, GABBR1, NR4A2, DRD1, ADORA2A, QKI, RGS2, PTGDS, HSPA1B, DYNLL2, CCKBR and DBP), brain-blood biomarkers (such as FOS, QKI and HSPA1B), pathways (such as cAMP signaling) and mechanisms for anxiety disorders--notably signal transduction and reactivity to environment, with a prominent role for the hippocampus. Overall, this work complements our previous similar work (on bipolar mood disorders and schizophrenia) conducted over the last decade. It concludes our programmatic first pass mapping of the genomic landscape of the triad of major psychiatric disorder domains using CFG, and permitted us to uncover the significant genetic overlap between anxiety and these other major psychiatric disorders, notably the under-appreciated overlap with schizophrenia. PDE10A, TAC1 and other genes uncovered by our work provide a molecular basis for the frequently observed clinical co-morbidity and interdependence between anxiety and other major psychiatric disorders, and suggest schizo-anxiety as a possible new nosological domain.

First Report of Soybean Dwarf Virus Infecting Lentil and Beet Western Yellows Virus Infecting Lentil and Chickpea Crops in Ethiopia

A survey conducted during November 14-23, 1998, to identify viruses infecting chickpea (Cicer arietinum) and lentil (Lens culinaris) crops in the Shewa province of Ethiopia covered 33 chickpea and 32 lentil fields randomly selected. Identity of the viruses present and virus incidence were determined on the basis of laboratory testing of 100 to 200 randomly collected samples in addition to 15 to 20 symptomatic samples from each field. A total of 5,427 lentil and 3,836 chickpea samples were collected and tested for the presence of 12 different viruses by tissue blot immunoassay (1) at the Plant Pathology Laboratory in Debre Zeit Agriculture Research Center, Ethiopia. All antisera were virus specific, including those for beet western yellows virus (BWYV; ATCC PVAS-647) and soybean dwarf virus (SbDV; ATCC PVAS-650). More than 21% of the samples from 5 chickpea fields were infected; the most common virus was BWYV. Also, at least 21% of the samples from 11 lentil fields were virus positive; the most widespread virus was PSbMV. Highest rates of infection: of lentil in a single field, PSbMV in 58.5% of the samples; in a chickpea field, 41.3% of the samples positive for BWYV. Other viruses such as faba bean necrotic yellows nanovirus (FBNYV) and broad bean wilt fabavirus in chickpea and FBNYV, broad bean stain comovirus, bean yellow mosaic potyvirus, and cucumber mosaic cucumovirus in lentil were detected at very low incidence. Reference: (1) K. M. Makkouk and A. Comeau. Eur. J. Plant Pathol. 100:71, 1994.