Cardiovascular diseases (CVDs) are the most common cause of mortality and morbidity globally. This is due to the increasing prevalence of modifiable CVDs risk factors. Hence, the study was aimed to identify knowledge and unhealthy behaviors that contribute to CVD among diabetes mellitus patients. An institutional-based cross-sectional study design was employed among diabetes mellitus patients. A close-ended questionnaire developed from up-to-date similar literature was pretested and face-to-face interview techniques were used to collect data. Checked data were entered into the Epidata 4.1 versions. Then, descriptive and bivariate logistic regression was done using SPSS 25 versions. Of the study participants included in the study, 318, more than half of them, 167(52.5%), were aged ≥45 years and 187(58.8%) of them were females. Among the study participants, more than half, 198(62.3%), had good Knowledge of modifiable CVDs risk factors. Most of the study participants identified consuming foods rich in fats instead of vegetables and fruits 198(62.3%), followed by physical inactivity 196(61.6%) as a risk factor for CVD. Regarding CVDs prevention practice, 175(55.0%) of the patients had a good practice. More than three-fourths, 267(84.0%), practice avoiding foods rich in fats and, sugar, and cigarette smoking 250(78.6%). Predictors like educational status, college and above (AOR 2.68; 95% CI 1.14–6.27), and urban residence area (AOR 1.94; 95% CI 1.09–3.15) were associated with knowledge of CVDs risk factors. While sex, marital status monthly income, and age of the participants had no association with knowledge and prevention practice of modifiable CVDs risk factors. The study participants’ knowledge and prevention practice of modifiable cardiovascular disease risk factors was satisfactory, even though continuous awareness creation is required to lower CVD mortality and morbidity burdens. Educational status and residence are of the study participants affect the knowledge and prevention practice modifiable of cardiovascular disease risk factors.

Introduction. New onset of diabetes mellitus was noted as the commonest comorbidity in the COVID-19 pandemic, which contributed to a worse prognosis. Existing evidence showed that new-onset diabetes is associated with increased mortality compared to nondiabetic and known diabetic patients in the COVID-19 era. SARS-CoV-2 virus can worsen existing diabetes; at the same time, it can trigger new-onset diabetes that eventually worsens patient outcomes. Thus, this study is aimed at determining the prevalence and factors associated with new onset of diabetes mellitus among COVID-19 patients. Methods. Institution-based retrospective cross-sectional study design was conducted by reviewing 244 patient’s records in the Addis Ababa COVID-19 care center. Descriptive statistics and binary logistic regression were used. During bivariate analysis, variables with p ≤ 0.25 were transferred into multivariate analysis. Adjusted odds ratios to determine the strength and presence of the association with a 95% confidence interval and p value ≤ 0.05 were considered, respectively. Results. The mean age of the study participants was 53.2 years with ( SD = 13.35 ). The study findings showed that 31.1% (CI: 25.4-37.4) of COVID-19 patients had new onset of diabetes mellitus; of those, 11.8% had type 1 and 88.2% had type 2 diabetes. Being male ( aOR = 2.9 ; 95% CI: 1.2, 7.1), family history of hypertension ( aOR = 3.7 ; 95% CI: 1.3, 10.5), obesity ( aOR = 3.1 ; 95% CI: 1.01, 8.9), having pulmonary embolism ( aOR = 0.2 ; 95% CI: 0.06, 0.04), and hyperkalemia ( aOR = 9.3 ; 95% CI: 1.8, 47.3) showed statistically significant association with new onset of diabetes mellitus. Conclusion. A significant proportion of COVID-19 patients had been diagnosed with new onset of diabetes mellitus, and new-onset type 2 diabetes mellitus is the most common diabetes mellitus type. Being male, obesity, having a pulmonary embolism, family history of hypertension, and hyperkalemia were independently associated with new onset of diabetes mellitus among COVID-19 patients. Therefore, focused interventions need to be strengthened towards the identified factors.

Introduction The number of oncologic patients visiting the emergency department (ED) is increasing and represent a challenge for the emergency team owing to they might have acute sign and symptoms of a still undiagnosed malignancy, management of treatment-related side effects, co-morbidities, and palliative care. Thus, this study was aimed to identify reasons for ED visits, management outcomes, and associated factors of oncologic patients. Patients and Methods A prospective cross-sectional study was conducted from March 11, 2021 to August 25, 2021 at the ED of Jimma University Medical Center on a total of 338 oncologic patients. Data were collected from the patient and the patient’s medical record using a questionnaire developed from up-to-date similar literatures. The questionnaire was started filled out upon diagnosis of cancer and completed during discharge from the ED. The outcomes of the patients were dichotomized into died and survived then, it was analyzed using frequency and bivariate logistic regression. Results The most common reasons for oncologic patients ED visit were neutropenic fever 79 (23.4%) followed by vomiting 38 (11.2%) and electrolyte abnormality 37 (10.9%) respectively. Among oncologic patients visited ED, 137 (40.5%) of them were admitted to ward and 126 (37.3%) of them were discharged with improvement while 64 (18.9%) of them were died. Based on multivariate logistic regression, those patients who had distant metastasis cancer (AOR 1.85; 95% CI 1.03–7.21), comorbidity (AOR 2.56; 95% CI 1.20, 6.96), and ECOG >3 (AOR 2.40; 95% CI 1.25,13.43) were more likely to die than their counterparts. Conclusion Most of the oncologic patients visited ED due to neutropenic fever, nausea and or vomiting, and electrolyte disorder. Amongst oncologic patients who were visited ED, most of them were admitted to ward while around one-fifth of them were died. Having distant metastasis cancer, comorbidity and ECOG >3 were independent predictors of an oncologic patient’s outcome at the ED.

Background. One of the most prevalent medical problems affecting kids is epilepsy, which is the most prevalent chronic neurological condition in kids in both developed and developing nations. The spectrum of diseases that make up childhood epilepsy syndromes ranges from mild to potentially fatal. Children may experience seizures due to a variety of illnesses, such as infection, severe brain injury, and anatomical deformity. It is the foremost visit calculates in neurological and cognitive impedance in children in low-income countries as well as the foremost common reason for pediatric clinic confirmations in children from destitute countries. All things considered, constrained things have been conducted in Ethiopia. Hence, this ponder points to survey the size and related variables of pediatric seizures among children conceded to Tikur Anbessa pediatric emergency. Methods. By looking through 256 patient charts, an institution-based retrospective cross-sectional analysis was done. Data collection utilized a systematic checklist that had been evaluated beforehand. The EpiData version 4.4.2.2 was used to enter the data, which was then exported for analysis to the SPSS version 25. Binary logistic regression and descriptive statistics were employed. Variables from the bivariate analysis that had a p -value of less than 0.25 were carried over to multivariate analysis. The strength and existence of the link were assessed using adjusted odds ratios with a 95% confidence interval and a p -value of 0.05, respectively. Result. Patients’ ages ranged from 3.7 to 2.8 years on average. 4.5% of patients had seizures, and 155 of them (60.5%) were men, with a male-to-female ratio of (1.5 : 1). Males and females experienced seizures on average at 1.3 (95% CI: 1.1, 1.5) and 2 (95% CI: 1.6, 2.5) years old, respectively. AOR: 2.68 (95% CI: 1.192, 6.68, p = 0.02 ) and AOR: 2.8 (95% CI: 2.576, 5.302, p = 0.04 ) both demonstrated statistically significant correlations with pediatric seizure. Conclusion. A vast number of children experienced convulsions, with generalized seizures being the most prevalent form. The chances of a child having a seizure were linked to their family history and where they were born. Therefore, health workers and other people who are involved in healthcare need to work harder on the factors that they have already identified.

IntroductionCOVID-19 remains one of the leading causes of death seeking global public health attention. Diabetes mellitus is associated with severity and lethal outcomes up to death independent of other comorbidities. Nevertheless, information regarding the determinant factors that contributed to the increased mortality among diabetic COVID-19 patients is limited. Thus, this study aimed at identifying the determinants of mortality among COVID-19 infected diabetic patients.MethodsAn unmatched case-control study was conducted on 340 randomly selected patients by reviewing patient records. Data were collected using a structured extraction checklist, entered into Epi data V-4.4.2.2, and analyzed using SPSS V-25. Then, binary logistic regression was used for bivariate and multivariable analysis. Finally, an adjusted odds ratio with 95% CI and a p-value of less than 0.05 was used to determine the strength of association and the presence of a statistical significance consecutively.ResultsThe study was conducted on 340 COVID-19 patients (114 case and 226 controls). Patient age (AOR=4.90; 95% CI: 2.13, 11.50), severity of COVID-19 disease (AOR=4.95; 95% CI: 2.20, 11.30), obesity (AOR=7.78; 95% CI: 4.05, 14.90), hypertension (AOR=5.01; 95% CI: 2.40, 10.60), anemia at presentation (AOR=2.93; 95% CI: 1.29, 6.65), and AKI after hospital admission (AOR=2.80; 95% CI: 1.39, 5.64) had statistically significant association with increased mortality of diabetic patients with COVID-19 infection. Conversely, presence of RVI co-infection was found to be protective against mortality (AOR=0.35; 95% CI: 0.13, 0.90).ConclusionPatient age (<65years), COVID-19 disease severity (mild and moderate illness), presence of hypertension, obesity, anemia at admission, and AKI on admission was independently associated with increased mortality of diabetic COVID-19 patients. Contrariwise, the presence of RVI co-infection was found to be protective against patient death. Consequently, COVID-19 patients with diabetes demand untiring efforts, and focused management of the identified factors will substantially worth the survival of diabetic patients infected with COVID-19.What is already known on this topic?Diabetes mellitus is associated with severity and lethal outcomes up to death independent of other comorbidities. Previous studies indicated that diabetic patients have almost four times increased risk of severe disease and death due to COVID-19 infection. Consequently, with this increased mortality and other public health impacts, numerous reports have been evolved worldwide on the link between COVID-19 and DM, and diabetes management during the COVID-19 pandemic. However, information regarding the determinant factors that lead to the increased mortality among diabetic COVID-19 patients is not well-studied yet.What this study adds?Patient age (<65years), COVID-19 disease severity (mild and moderate illness), presence of hypertension, obesity, anemia at admission, and AKI on hospital admission were independently associated with increased mortality of COVID-19 patients with DM.In addition, RVI co-infection was found to be protective against patient death.