Background: Dyslipidemia is a group of plasma lipid and lipoprotein abnormality that is metabolically associated, and it is categorized by low HDL-C and increased LDL-C, TGs, and total cholesterol (TC) levels. Colonization of the stomach by Helicobacter pylori (H. pylori) causes chronic inflammation of the stomach wall which can change some biochemical factors in the patient. On the association of H. pylori infection and its contributions to change in serum lipid profile, different studies reported varying outcomes. Objective: To assess the prevalence of dyslipidemia and associated factors among patients suspected for H. pylori infection in the outpatient department of

Background:Clinical laboratory reference intervals are an important tool to identify abnormal laboratory test results. The generating of hematological parameters reference intervals for local population is very crucial to improve quality of health care, which otherwise may lead to unnecessary expenditure or denying care for the needy. There are no well-established reference intervals for hematological parameters in southwest Ethiopia.Objective:To generate hematological parameters reference intervals for apparently healthy individuals in southwest Ethiopia.Methods:A community-based cross-sectional study was conducted involving 883 individuals from March to May 2017. Four milliliter of blood sample was collected and transported to Jimma University Medical Center Laboratory for hematological analysis and screening tests. A hematological parameters were measured by Sysmex XS-500i hematology analyzer (Sysmex Corporation Kobe, Japan). The data were analyzed by SPSS version 20 statistical software. The non-parametric independent Kruskal–Wallis test and Wilcoxon rank-sum test (Mann–Whitney U test) were used to compare the parameters between age groups and genders. The 97.5 percentile and 2.5 percentile were the upper and lower reference limit for the population.Results:The reference interval of red blood cell, white blood cell, and platelet count in children were 4.99 × 1012/L (4.26–5.99 × 1012/L), 7.04 × 109/L (4.00–11.67 × 109/L), and 324.00 × 109/L (188.00–463.50 × 109/L), respectively. The reference interval of red blood cell, white blood cell, and platelet count in adults was 5.19 × 1012/L (4.08–6.33 × 1012/L), 6.35 × 109/L (3.28–11.22 × 109/L), and 282.00 × 109/L (172.50–415.25 × 109/L), respectively. The reference interval of red blood cell, white blood cell, and platelet count in geriatrics were 5.02 × 1012/L (4.21–5.87 × 1012/L), 6.21 × 109/L (3.33–10.03 × 109/L), and 265.50 × 109/L (165.53–418.80 × 109/L), respectively. Most of the hematological parameters showed significant differences across all age groups.Conclusion:Most of the hematological parameters in this study showed differences from similar studies done in the country. This study provided population-specific hematological reference interval for southwest Ethiopians. Reference intervals should also be established in the other regions of the country.

Background. Medical laboratories play essential roles in measurement of analyte in clinical sample for the diagnosis and monitoring of diseases. Thus, data generated from the laboratory have to be reliable for which strict quality assurance is maintained. Objective. To assess the coverage and quality of selected clinical chemistry tests among medical laboratories of health facilities in, Jimma Zone, South West Ethiopia. Methods. A cross-sectional study was conducted at Jimma Zone on health facilities from August 15 to September 15, 2014. Eighty-six health facility laboratories were included in the study. We classified laboratories into laboratories with clinical chemistry service and those without clinical chemistry service clusters and those with clinical chemistry laboratory were again clustered according to their level. Data were collected by direct observation, interview, and proficiency testing (PT). The collected data were analyzed and compared with CLIA PT goal for TEa by considering total allowable error ± 20%, ±10%, ±15%, and ±20 for each analyte, ALT, glucose, creatinine, and total bilirubin, respectively. Result. From total of 86 health facilities with laboratories, 23.3% (n=20) had clinical chemistry service, of which 77.2% results were reported outside of the allowable error limit. Conclusion. According to this study the availability of clinical chemistry test service was very minimal and facilities giving the service do not fulfill the minimum standard for quality; thus clients were either getting wrong clinical decision or misdiagnosed. Therefore, the external and internal quality assessment programs should be reviewed very well. Those laboratories whose report was outside of the allowable error should have to report results with the appropriate reference range so that physicians consider that. Establishment of local clinical chemistry reference range can also minimize the problem.

Background: Neonatal hyperbilirubinemia is a widespread and significant clinical problem among neonates worldwide. Globally, every year about 1.1 million babies develop it and the vast majority reside in South Asia and sub-Saharan Africa. Studies on magnitude and factors associated with neonatal hyperbilirubinemia are limited in Ethiopia. So this study was aimed at assessing the prevalence and associated factors of neonatal hyperbilirubinemia among hospitalized neonates in the neonatal intensive care unit of Jimma Medical Center (JMC), Jimma, South West Ethiopia. Methods: Hospital-based cross-sectional study was conducted at JMC from July 24 to October 19, 2020. A total of two hundred twenty-two neonates with their mothers were included and conveniently selected. Data was collected by interviewing mothers through structured questionnaires and reviewing neonates' medical records using a checklist. Multivariable binary logistic regression analyses were employed to identify factors associated with neonatal hyperbilirubinemia. Results: from a total of neo-maternal pairs included in the studies; the proportion of Neonatal hyperbilirubinemia was found to be 94(42.3%). Neo-maternal ABO incompatibility 33 (35.1%), prematurity41 (43.6%), sepsis 35 (37.2%), Neonatal birth asphyxia 20 (21.2%), and Rh isoimmunization 10 (10.6%) was significantly associated with neonatal hyperbilirubinemia.Conclusion and Recommendations: The prevalence of neonatal hyperbilirubinemia in the study setting was high. Antenatal care (including both mother and fetus detail examination and follow-ups) as well cautions during labor need to focus since Neonatal hyperbilirubinemia-associated factors were maternal and neonatal. Hence, further assessment, early intervention, and timely treatment are important to mitigate the burdens in neonates due to hyperbilirubinemia.

Background: Hysterectomy is one of the major surgeries performed in clinical practice for commonly encountered diseases of the female genital tract worldwide. Even if Hysterectomy is widely performed surgery in both developed and low income countries little is known about is epidemiology in rural part of develop countries. Especially in developing countries like Ethiopia representative reliable statistics are rarely available on this important aspect of women’s health mainly on its prevalence, indication and outcome. So the aim of this study was to assess the magnitude indication and outcome of hysterectomy in Goba Referral Hospital from January 1, 2008 to January1, 2018. Methods: institutional based retrospective study was conducted in Goba Referral Hospital. Self-administered structured checklists were used to collect the data. The data were entered into Epi data version 3.1 and analyzed by SPSS version 20. Continuous and categorical variables were summarized by tables, graph and descriptive statistics. Logistic regression was used to determine association between predictors and Hysterectomy prevalence. P-value <0.05 was -considered as statistically significant. Results: a total of 200 hysterectomies were done for obstetrics and gynecology indications, of which the commonest, 47% (n=94), indication was uterine rupture. From the total of 116 women, who had no antenatal care follow up, 40% (n=47) had uterine rupture. This study also indicated that, most of uterine rupture cases 80% (n=76) were living far away from the hospital (> 50km from the hospital) 94.6% (n-89) were multiparous. This study has also indicated that from the total of 20 discharged dead, 90% (n=18)) were came from a distance of >100km far from the hospital and 95% (n=19) were those who didn’t attend antenatal care. Conclusions: the higher rate of uterine rupture was seen in those who were multi Para, far from Hospitals and those who have no ANC follow up. Large scale study for the identification of determinant factors for evidence based intervention will be very important.