Triple-negative breast cancer (TNBC) is associated with an increased risk of early recurrence and distant metastasis, as well as the development of therapeutic resistance and poor prognosis. TNBC is characterized by a wide range of genetic, immunophenotypic, morphological, and clinical features. TNBC is coined to describe cancers that lack estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). As a result, hormonal or trastuzumab-based treatments are ineffective in TNBC patients. TNBCs are biologically aggressive, and despite some evidence that they respond to treatment better than other forms of breast cancer, the prognosis remains poor. This is attributed to a shorter disease-free interval in adjuvant and neoadjuvant settings, as well as a more aggressive metastatic course. TNBC has a lot of clinical ramifications. In terms of new treatment methods, TNBC has lagged behind other types of breast cancer. There are not many options for treating this form of breast cancer because it is progressive. Many effective treatments for most breast cancers block the growth-stimulating effects of ER, PR, and/or HER2, leaving TNBC with few choices. Finding new and effective treatment options for TNBC remains a critical clinical need. To develop more effective drugs, new experimental approaches must be tested in patients with TNBC.

Background: Diabetes is increasing at an alarming rate throughout the world, and ∼80% of diabetics live in developing countries. Similar to the rest of sub-Saharan African countries, Ethiopia is experiencing a significant burden of diabetes, with increased prevalence, complications, and mortality, as well as life threatening disabilities. Reasons for poor glycemic control among type 2 diabetes patients are complex and multivariable. Hence, this study aimed to identify challenges and factors associated with poor glycemic control among type 2 diabetes patients. Method: A hospital-based cross-sectional study was conducted among type 2 diabetic patients attending the diabetic clinic of Nekemte Referral Hospital (NRH) from February 1 to April 30, 2018. Fasting blood glucose levels of the last three clinic visits were obtained and the mean fasting blood glucose measurement was used to determine the level of glycemic control. Analysis included both descriptive and inferential statistics with SPSS version 20.0. Predictor variable P10 years) (AOR=3.94, 95% CI=1.51–27.83, P=0.012), inadequate physical exercise (AOR=3.19, 95% CI=1.05–19.84, P=0.019), and smoking (AOR=4.51, 95% CI=0.00–0.50, P=0.022) were independent predictors of poor glycemic control on multivariable logistic regression analysis. Conclusion: Nearly two-thirds of patients had poorly controlled diabetes. Age, exercise, level of education, duration of the treatment, and smoking were significantly associated with poor glycemic control. Health facilities should provide continuous education, and barriers of glycemic control should be explored with further research.

Stroke is the second-leading global cause of death behind heart disease in 2013 and is a major cause of permanent disability. The burden of stroke in terms of mortality, morbidity and disability is increasing across the world. It is currently observed to be one of the commonest reasons of admission in many health care setups and becoming an alarming serious public health problem in our country Ethiopia. Despite the high burden of strokes globally, there is insufficient information on the current clinical profile of stroke in low and middle income countries (LMICs) including Ethiopia. So, this study was aimed to assess risk factors, clinical presentations and predictors of stroke subtypes among adult patients admitted to stroke unit of Jimma university medical center (JUMC). Prospective observational study design was carried out at stroke unit (SU) of JUMC for 4 consecutive months from March 10–July 10, 2017. A standardized data extraction checklist and patient interview was used to collect data. Data was entered into Epi data version 3.1 and analyzed using SPSS version 20. Multivariable logistic regression was used to identify the predictors of stroke subtypes. A total of 116 eligible stroke patients were recruited during the study period. The mean age of the patients was 55.1 ± 14.0 years and males comprised 62.9%. According to world health organization (WHO) criteria of stroke diagnosis, 51.7% of patients had ischemic while 48.3% had hemorrhagic stroke. The most common risk factor identified was hypertension (75.9%) followed by family history (33.6%), alcohol intake (22.4%), smoking (17.2%) and heart failure (17.2%). The most common clinical presentation was headache complained by 75.0% of the patients followed by aphasia 60.3% and hemiparesis 53.4%. Atrial fibrillation was the independent predictor of hemorrhagic stroke (AOR: 0.08, 95% CI: 0.01–0.68). The clinical characteristics of stroke in this set up were similar to other low- and middle-resource countries. As stroke is a high priority chronic disease, large-scale public health campaign should be launched focusing on public education regarding stroke risk factors and necessary interventions.

The rising prevalence of osteoarthritis (OA) in the general population has necessitated the development of novel treatment options. It is critical to recognize the joint as a separate entity participating in degenerative processes, as well as the multifaceted nature of OA. OA is incurable because there is currently no medication that can stop or reverse cartilage or bone loss. As this point of view has attracted attention, more research is being directed toward determining how the various joint components are impacted and how they contribute to OA pathogenesis. Over the next few years, several prospective therapies focusing on inflammation, cartilage metabolism, subchondral bone remodelling, cellular senescence, and the peripheral nociceptive pathway are predicted to transform the OA therapy landscape. Stem cell therapies and the use of various biomaterials to target articular cartilage (AC) and osteochondral tissues are now being investigated in considerable detail. Currently, laboratory-made cartilage tissues are on the verge of being used in clinical settings. This review focuses on the update of clinical prospects and management of osteoarthritis, as well as future possibilities for the treatment of OA.

Background: Self-stigma associated with mental illness has remained a global public health issue affecting social interactions, health care, productivity and acceptance among others. It is one of important factors contributing to non-adherence to medication that leads to increased hospitalization and higher healthcare costs. Hence, the study aimed to assess self-stigma and medication adherence among patients with mental illness treated at the psychiatric clinic of Jimma University Medical Center (JUMC). Methods: A cross-sectional, community-level study was conducted at Jimma town. The patient’s data was collected from records between April and June 2017 and the collected data was analyzed using SPSS version 21. The Internalized Stigma of Mental Illness (ISMI) tool was utilized to measure internalized stigma. Linear regression analysis was performed to get the final model. Statistical significance association was considered at p-values less than 0.05 and 95% confidence interval was used. Results: Males comprised more than half (61%) of the total sample of 300 respondents and with a mean age of 34.99 (SD ± 11.51) years. About one-third (32%) of patients had a working diagnosis of schizophrenia followed by major depressive disorder (24.3%). More than half of them, 182 (60.7%) were adherent to their psychotropic medication. The overall mean value of self-stigma was 2.16 (SD = 0.867) and 84 (28%) of the respondents had moderate to high self-stigma. Using ISMI the mean score of alienation was 2.26 (SD = 0.95), stereotype endorsement 2.14 (SD = 0.784), perceived discrimination 2.18 (SD = 0.90), social withdrawal 2.10 (SD = 0.857) and stigma resistance 2.11 (SD = 0.844). Increasing age of the patients (std. β = − 0.091, p = 0.009) and living with kids and spouse (std. β = − 0.099, p = 0.038) were negatively associated with self-stigma whereas increased world health organization disability assessment schedule (WHODAS) score (β = 0.501, p < 0.001), number of relapses (std. β = 0.183, p < 0.01) and medication non-adherence (std. β = 0.084, p = 0.021) were positively associated with self-stigma. Conclusion: The study revealed that there was high self-stigma among patients with mental illness and a significant association between overall ISMI score and level of medication adherence. These require mental health professionals and policy-makers should give attention to ways to overcome self-stigma and increase medication adherence among patients with mental illness.

To assess the self-care practices and associated factors among diabetic patients in West Ethiopia. A total of 252 study participants were included in the study, of this 54.8% were male. Of the participants more than half 150 (59.5%) had poor glycemic control and 153 (60.7%) of the participants had good self-care. Majority of the study participants 209 (82.9%) had adequate foot care and more than half 175 (69.4%) and 160 (63.5%) had adequate dietary plan and exercise management respectively. However of the total diabetic patients only 38 (15.1%) had adequate blood glucose testing practices. On multivariable logistic analysis poor self-care practices were more likely to occur among male patients (AOR = 5.551, 95% CI = 2.055–14.997, p = 0.001), patients living in rural area (AOR = 5.517, 95% CI = 2.184–13.938, p < 0.001), patients with duration of diabetes < 6 years (AOR = 41.023, 95% CI = 7.373–228.257, p < 0.001), patients with no access for self-monitoring blood glucose (AOR = 9.448, 95% CI = 2.198–40.617, p = 0.003), patients with poor knowledge about diabetes (AOR = 67.917, 95% CI = 8.212–561.686, p < 0.001) and patients with comorbidities (AOR = 18.621, 95% CI = 4.415–78.540, p < 0.001).