Introduction. Uterine myoma occurs in 20-50% of reproductive age women. Uterine myomas may be associated with 5-10% of cases of infertility, but it is the sole cause or factor in only 2-3% of all infertility cases. Myomectomy is surgery done to remove myoma regardless of the methods. Objective. To assess impact of myomectomy on pregnancy rate and associated factors among reproductive age women who had myomectomy at St. Paul’s Hospital Millennium Medical College, in Addis Ababa. Methodology. Hospital-based retrospective cross-sectional study was conducted to determine pregnancy rate after myomectomy and its associated factors. Patients who had myomectomy in SPHMMC from September 2012 to September 2017 were enrolled. Information was retrieved from hospital records and phone interviews with the patients. The strength of statistical association was measured by adjusted odds ratios and 95% confidence intervals. Statistical significance was declared at p value < 0.05. Result. Among 180 females participated in this study, 52.2% got pregnant after myomectomy. The result showed that females with age > 35 years were 0.31 times less likely to get pregnant after surgery than those ages 20-25 years [ AOR = 0.31 (95% CI: 0.29-0.54)]. People with no infertility before surgery were 1.19 times more likely to be pregnant after surgery than those with unexplained infertility before the surgery [ AOR = 1.19 (95% CI: 1.06-1.57)]. People with two uterine incisions were 0.06 times less likely [ AOR = 0.06 (95% CI: 0.043-0.51)] while those with three or more than three incisions were 0.02 times less likely [ AOR = 0.02 (95% CI: 0.002-0.22)] to get pregnant compared with those with one incision on uterine wall. Conclusion. Age, number of incision, and infertility before surgery were significantly associated with rate of pregnancy after myomectomy.
Background. Poststroke depression is the most common and burdensome poststroke psychiatric complication. Studies showed discrepancies in reporting frequencies and risk factors for poststroke depression. Updated local data are relevant for efficient strategies of poststroke depression screening and prevention. Objectives. To determine the prevalence and associated factors of poststroke depression among outpatient stroke patients from the outpatient neurology clinic of Zewditu Memorial Hospital in Addis Ababa, Ethiopia. Methods. An institution-based cross-sectional study was conducted on 249 stroke patients. Data was collected through structured questionnaire using interviews and a review of medical charts. PHQ-9 depression questionnaire was used to diagnose poststroke depression. Descriptive analysis was used to see the nature of the characteristics of interests. Bivariate analysis was used to sort out variables at p values less than 0.05 for multivariate logistic regression. Significance level was obtained using an odds ratio with 95% CI and p value < 0.05. Results. Point prevalence for poststroke depression was 27.5 percent. Female gender, unemployment, low social support level, diabetes mellitus, and poststroke period under 2 years were statistically significant and independent predictors for poststroke depression. Conclusions. The point prevalence estimate of poststroke depression was comparable with other studies. Low social support levels increased the odds for poststroke depression by more than eight folds. It appeared that external factors are more important in the pathogenesis of poststroke depression in the African population. Detection and prevention programs should consider disparities of poststroke depression incidence and risk factors.
Background Antiretroviral therapy has been highly associated with reduction in the incidence of mortality in HIV/AIDS patients over time. However, there is a regional variation in the extent of reducing the incidence of mortality in many developing countries including Ethiopia. Hence, this study was conducted to generate summary evidences-based data for incidence of mortality and determinants of mortality. Methods Articles were comprehensively searched on Pub Med, Google Scholar, Cochrane library, Scopus, and DOAJ databases using Boolean operators. A Dersimonian and Laird methods of random effect model was used to estimate incidence and determinants of mortality. Heterogeneity, publication bias and quality of each study were checked. Subgroup analysis was employed. Relevant data from each study were extracted. STATA software version 14 was used for all statistical analysis. Result A total of 21 articles were finally reviewed and analyzed. Incidence of mortality was found to be 5/100-person year of observation (95% CI: 4–5/100pyo). Most of the death (67%) occurred during the first year of HAART initiation. Baseline Advanced WHO clinical stage (PHR (Pooled Hazard Rate) 2.88; 95%CI: 2.2–3.8), low CD4 cells count (PHR 1.88; 95% CI: 1.5–2.4), low body weight (PHR 1.6; 95% CI: 1.2–2.2), low hemoglobin level (PHR 2.4; 95% CI: 1.7–3.4), presence of TB infection (PHR 2.9; 95% CI: 2.13–4.61), non – working functional status (PHR 3.9; 95% CI: 2.8–5.4), bad medication adherence (PHR 4.8; 95% CI: 3.2–7.2), lack of cotrimoxazole preventive therapy (PHR 1.5; 95% CI: 1.2–2.0), being male (PHR 1.4; 95% CI: 1.2–1.8) and older age (PHR 1.2; 95% CI: 1.04–1.41) were significantly associated with increased mortality in this study. Conclusion Incidence of mortality was high particularly early in the course of therapy. Advanced WHO clinical stage, CD4 cells count low body weight, low hemoglobin level presence of TB infection, bad medication adherence older age and non-working functional status were significant determinants of incidence of mortality. Comprehensive service and strict follow up should be given to avert this high rate of mortality.
Introduction: Uterine myoma occurs in 20-50% of reproductive age women. Uterine myomas may be associated with 5-10% of cases of infertility, but it is the sole cause or factor in only 2-3% of all infertility cases. Myomectomy is surgery done to remove myoma regardless of the methods.Objective: to assess impact of myomectomy on pregnancy rate and associated factors among reproductive age women who had myomectomy at St. Paul’s Hospital Millennium Medical College, in Addis Ababa. Methodology: Hospital based retrospective cross-sectional study was conducted to determine pregnancy rate after myomectomy & its associated factors. Patients who had myomectomy in SPHMMC from September, 2012 to September, 2017 were enrolled. Information was retrieved from hospital records & phone interviews with the patients. The strength of statistical association was measured by adjusted odds ratios and 95% confidence intervals. Statistical significance was declared at p-value < 0.05. Result: Among 180 females participated in this study, 52.2% got pregnant after myomectomy. The result showed that females with age >35 years were 0.31 times less likely to get pregnant after surgery than those ages 20-25 years [AOR=0.31(95%CI: 0.29-0.54)]. People with no infertility before surgery were 1.19 times more likely to be pregnant after surgery than those with unexplained infertility before the surgery [AOR=1.19(95%CI: 1.06-1.57)]. People with two uterine incisions were 0.06 times less likely [AOR=0.06(95%CI: 0.043-0.51)] while those with three or more than three incisions were 0.02 times less likely [AOR=0.02(95%CI: 0.002-0.22)] to get pregnant compared with those with one incision on uterine wallConclusion: Age, number of incision and infertility before surgery were significantly associated with rate of pregnancy after myomectomy.
Reduced AIDS mortality has been linked to the advent of highly active antiretroviral medication. The previous reviews conducted in Ethiopia lack the overall rigor and clarity in the study methodology, reported results and statistical inference. The goal was to create a data summary from studies accomplished previously throughout the nation so that programmers and implementers could use to harmonize the current advanced intervention and direct health service providers to improve ART service provision packages. This data would provide a thorough update on the magnitude of mortality among HIV-infected patients taking HAART by combining 21 eligible articles. The study's heterogeneity, publication bias, and quality were examined. The statistical analysis used random-effects model in STATA version 14. The protocol was registered(CRD42019123380). As a result, the pooled mortality incidence was 5 per 100 person-years of observation (95% CI: 4–5 per 100 pyo). Two-thirds of deaths occurred within the first year of starting HAART. Clinical stage (Pooled HR = 3.15; 95% CI: 2.36–4.21), CD4 count (Pooled HR = 2.31; 95% CI: 1.83–2.93), hemoglobin level (Pooled HR = 3.05; 95% CI: 2.19–4.27), TB co-infection (Pooled HR = 3.08; 95% CI: 2.21–4.29), and functional status (Pooled HR = 4.86; 95% CI: 3.59–6.97) were factors in this study that were substantially linked to higher mortality. Mortality rates were high, especially early in the therapeutic process. Significant mortality risk factors were WHO clinical stage, CD4 count, poor hemoglobin, TB co-infection, and non-working functional status. This significant mortality rate could be avoided with comprehensive care and stringent monitoring.
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