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1.
Metabol Open ; 19: 100254, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37681054

ABSTRACT

Background: Chronic kidney disease (CKD) is a non-communicable disease leading to a progressive decline in kidney functions and complications like liver disorders. Serum levels of liver parameters such as aminotransferases and bilirubin are important biomarkers for the diagnosis of liver diseases. Studies on the effect of CKD with and without end-stage renal disease (ESRD) on the levels of liver biomarkers in Ethiopia are limited. Hence, this study aimed to assess liver biomarkers, blood pressure (BP) and anthropometric indices in CKD patients attending a renal clinic of Felege Hiwot Comprehensive Specialized Hospital(FHCSH) in Bahir Dar, Ethiopia. Method: A hospital-based cross-sectional study was conducted among 100 CKD patients attending the renal clinic of FHCSH in Bahir Dar, Ethiopia. Data were collected using a structured questionnaire through face-to-face interview. BP and anthropometric parameters were measured based on the standard procedures. About 5 ml of serum was used to analyzeliver parameter using automated chemistry analyzer. All data analyses such as independent sample t-testand one-way ANOVA were done using SPSS version 25.0. Besides, Pearson's correlation analysis and multiple linear regression were done to identify predictors of liver biomarkers in CKD patients. P-value< 0.05 were considered statistically significant. Results: The mean serum levels of AST and ALT were significantly lower in CKD patients under dialysis when compared to CKD patients with no dialysis (p < 0.05). These enzymes were positively and negatively correlated with eGFRand the severity of CKD, respectively. However, there were no significant differences in bilirubin level between different stages of CKD. There was also a significant increase (p < 0.05) in the levels of AST and ALT with BMI.There was also a significant rise of SBP and DBP in CKD patients under dialysis compared to CKD patients not in dialysis. Conclusion: Aminotransferases were significantly lower in CKD patients undergoing dialysis than in CKD patients not undergoing dialysis, warranting the need fora separate standard reference ranges or using other diagnostic criteria to diagnose liver comorbidities in CKD patients. The levels of AST and ALT in CKD patients were also significantly increased with BMI. Besides, BP was significantly elevated with the severity of CKD, indicating the more advanced the CKD is, the higher BP.

2.
Front Endocrinol (Lausanne) ; 13: 947294, 2022.
Article in English | MEDLINE | ID: mdl-36120460

ABSTRACT

Diabetes Mellitus (DM) is a worldwide health issue that can lead to a variety of complications. DM is a serious metabolic disorder that causes long-term microvascular and macro-vascular complications, as well as the failure of various organ systems. Diabetes-related cardiovascular diseases (CVD) including heart failure cause significant morbidity and mortality worldwide. Concurrent hypertensive heart disease and/or coronary artery disease have been thought to be the causes of diabetic heart failure in DM patients. However, heart failure is extremely common in DM patients even in the absence of other risk factors such as coronary artery disease and hypertension. The occurrence of diabetes-induced heart failure has recently received a lot of attention. Understanding how diabetes increases the risk of heart failure and how it mediates major cellular and molecular alteration will aid in the development of therapeutics to prevent these changes. Hence, this review aimed to summarize the current knowledge and most recent findings in cellular and molecular mechanisms of diabetes-induced heart failure.


Subject(s)
Cardiovascular Diseases , Coronary Artery Disease , Diabetes Mellitus , Heart Failure , Hypertension , Cardiovascular Diseases/etiology , Coronary Artery Disease/complications , Diabetes Mellitus/drug therapy , Diabetes Mellitus/epidemiology , Heart Failure/complications , Heart Failure/etiology , Humans , Hypertension/complications , Risk Factors
3.
PLoS One ; 17(6): e0270293, 2022.
Article in English | MEDLINE | ID: mdl-35749489

ABSTRACT

BACKGROUND: Depression is a major public health problem among cancer patients undergoing chemotherapy. It compromises patient outcomes, resulting in higher rates of mortality. Currently, there are little data on the prevalence of depression in Sub-Sharan countries. Therefore, the current study was done to assess the prevalence of depression among adult cancer patients and its associated factors in Ethiopia. METHOD: An institutional based cross-sectional study was conducted among 420 adult cancer patients from 1st March to April 30, 2021. Systematic random sampling technique was used to recruit participants. Depression was assessed using the Patient Health Questionnaire-9. The collected data were coded and entered into Epi-data version 4.2 and exported to SPSS version 25 for analysis. Bivariate binary logistic regression was performed to select factors that will be included in multivariate analysis, and variables with a p-value < 0.05 were included in multivariate analysis. In multivariate analysis, odds ratios and their 95% confidence intervals were computed and variables with p-value < 0.05 were considered to declare a significant association. RESULTS: In this study, the prevalence of depression was 33.1% (95% CI = 0.2858, 0.3761). Minimal symptoms of depression, minor depression, moderate depression, moderate severe depression, and severe depression were found to be 272 (64.8%), 9 (2.1%), 104 (24.8%), 28 (6.7%), and 7 (1.7%), respectively. Those cancer patients who had unemployed status, sacked from jobs, and had stage IV cancer were most likely to develop depression, whereas patients who completed primary education, colon, prostate and cervical cancer were less likely to have depression. CONCLUSION: Depression is found to be a major public health concern for adult cancer patients in Ethiopia. To reduce the occurrence of depression among cancer patients, special attention is needed.


Subject(s)
COVID-19 , Neoplasms , Adult , COVID-19/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Ethiopia/epidemiology , Hospitals , Humans , Male , Neoplasms/complications , Neoplasms/drug therapy , Neoplasms/epidemiology , Prevalence
4.
SAGE Open Med ; 9: 20503121211050755, 2021.
Article in English | MEDLINE | ID: mdl-34659766

ABSTRACT

Since December 2019, coronavirus diseases-2019 (COVID-19) dispersed into 200 countries and affected more than 70 million people. The clear picture of the SARS-CoV-2 infection is still under investigation. In this review, we evaluated whether C-reactive protein biomarker is able to predict the clinical outcomes or correlated with the severity of COVID-19 disease. The databases MEDLINE, Hinari, Google Scholar, and Google search were used to find potential studies published from COVID-19 epidemic until May 2021. A format prepared in Microsoft Excel spreadsheet was used to extract the appropriate details from each original report. For further review, the extracted data were exported to STATA/MP version 16.0 software. Keywords including "COVID-19," "SARS-CoV-2," and "C-reactive protein," among others were used to search relevant articles. Only studies which reported the average C-reactive protein value and COVID-19 disease stage outcomes were included. Twenty articles were included in the review. All studies found considerably higher level of C-reactive protein in patients with severe COVID-19 as compared to mildly infected patients. This review evidenced that it is still there for a given biomarker to early identify the state of progression in asymptomatic and/or mildly infected individuals into severe disease; the level of C-reactive protein may be used in predicting the likelihood of disease progression. Findings from this review showed level of C-reactive protein is a good biomarker to predict the severity of COVID-19 disease. Although COVID-19 researches are at the early stages, investigation of C-reactive protein levels throughout the disease course may have paramount importance for clinicians in early detection of severe manifestations and subsequently improve the prognosis. However, further large-scale studies are required to confirm these findings.

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