Background Chronic kidney disease is a growing worldwide public health concern. On the other hand, patients’ perception of health is an important outcome measure in the assessment of the influence of chronic disease and received treatment. Interest in measuring health-related quality of life has increased together with an awareness that such humanistic outcomes require valid and reliable measures. The aimed study was to evaluate the health-related quality of life (QoL) and to investigate the relationship between selected demographic and clinical characteristics and Health-related Quality of Life (HRQoL) scores in hemodialysis patients. Methods This survey study was conducted on hemodialysis patients (209 patients) during the periods 2017–2018. The QoL includes 25 questions classified into five dimensions, which are mobility, personal care, common activities, discomfort and pain, anxiety, and depression. P value < .05 was considered statistically significant. Results Overall 209 hemodialysis patients, the mean of the five domains varies from a minimum value of 1.75 ± 1.06 for personal care to a maximum value of 2.65 ± 1.44 for anxiety and/or depression. In our study, among hemodialysis patients is seen a significant association scored between the quality of life and demographic variables like age groups (p = 0.034), and gender (p = 0.01) as in the previous studies. The presence of comorbidities was significantly associated with the QOL (p = 0.001). About the questionnaire, “How good or bad your health is today” the average score resulted to be 47.08 ± 4.5. Conclusion As we saw from the results of this study, a considerable number of the patients live with low income. Age, sex, and comorbidities are dependent factors of HRQoL. Therefore, we suggest that future studies include other factors that will evaluate hemodialysis efficiency and find the association between these and QoL.

Introduction: Hepatitis C virus (HCV) infection is associated with increased morbidity and mortality among patients on dialysis (HD). The aims of this study were to estimate the presence of HCV and other comorbidities in the dialysis population of Elbasan city, and to compare the survival outcomes of those patients who started dialysis with haemodialysis and peritoneal dialysis. Methods: In the present study, we have used a socio-demographic questionnaire to collect data from HD patients. We studied 108 dialysis patients in dialysis Centre for 1 year. Software SPSS version 20.0, were used to analyzed and evaluate the data. P < 0.05 was considered statistically significant. Results: Over of all 108 patients with dialysis, HCV infection was present in 15.7% of them. Male patients were 74% and female 26%. Age groups 50-59 and 60-69 were the most frequent among dialysis patients with 35.1% and 34.25% cases respectively. There are a significant association for age of dialysis patients and the presence of HCV for p < 0.001. Regarding the co-morbidities in dialysis patients our findings suggest that diabetes mellitus tip 2 (16/108 patients), Hypertension arterial HTA (56/108), Coronary artery disease (16/108), and Arrhythmia (12/108) were more prevalent diseases in our patients. A significant association we found for cardiovascular disease in dialysis patients and the presence of HCV p = 0.0001. Based to Kaplan-Meier and univariate Cox regression performed to estimate risk factor in haemodialysis patients, adjusted survival rates HD vs. PD patients was significantly different (hazard ratio 14.75, CI 95% [8.92-44.76]) p value < 0.0001). Conclusion: In this study we have observed a significant association of HCV infection with some socio-demographic data of dialysis patients, and also with cardiovascular disease. We suggest that prospective studies should be performed to evaluate the role of HCV infection and other comorbidities in dialysis patients.

INTRODUCTION: Nowadays, obesity is an enormous problem in the public health of undeveloped countries and developing countries. Being overweight, especially obesity in internal organs contributes to increased risk of metabolic and cardiovascular complications in patients with chronic kidney disease. There is no complete data available in our country on the correlation between obesity and comorbidity diseases among persons undergoing dialysis. So we do not know how BMI affects Diabetic or Cardio Vascular Disease (CVD) patients among dialysis patients. We, therefore, undertook this study to evaluate the association of obesity with mobility in hemodialysis patients at the Elbasan dialysis center. METHODOLOGY: This cross-sectional study was performed in 160 patients who have undergone the dialysis process at Elbasan Dialysis Center for three years (2016-2018). A standardized questionnaire was adopted to obtain data from all patients. The subjects were divided a priory into 4 categories based on the body mass index (BMI) (underweight <19, normal 19-25, pre-obese 25-30 and obese ≥30 kg/m2). Software SPSS version 20.0 is used to analyze and evaluate the data. Kaplan-Meier estimate were used to find the correlation between BMI with their prognostic abilities like cardiovascular disease and Diabetes Mellitus Type 2. We have considered statistically significant every p value less than 0.05. RESULT: Over all 160 patients, the men presented the highest number of cases compared to female 73.1% and 26.9% respectively. The mean age resulted 52.7 ± 15.6 years and age groups 50-59 years old and 60-69 years old with 29.4% and 34.3% respectively were the most frequent in this study. About the category of BMI index 8.8% patients resulted underweight, 45% were in normal weight, 28.2% were pre-obese and 6.6% were obese. We observed significant correlations between BMI and some of the demographic data such as: gender, age, place of residence, educational level, smoking and alcohol consumption for p <0.05. Changes in patient survival rates between BMI with DMT2 and cardiovascular disease are not statistically significant (long range p> 0.05). In terms of mortality, a strong significant correlation was observed with the age of 50-69 years and with the index of hemoglobin, urea and creatinine after dialysis with p value <0.05. CONCLUSION: In the paradoxical epidemiology, the overweight becomes chronic on hemodialysis patients and serves as a protective factor which is associated with better survival, but we weren`t found significant association between the BMI and some of the variables analyzed. This study presents a small number of chronic patients on hemodialysis center in Elbasan city. There is a need to better understand the reverse epidemiological causes in individuals on dialysis, which can help us improve the poor outcome in this population.

Chronic kidney disease is a serious, life threating health problem. It is also known as chronic kidney failure, as it is a process of irreversible loss of nephrons, which at the end stage leads to kidney failure. There are many different reasons that lead to kidney failure, such as: hypertension, diabetes, polycystic kidney disease, glomerulonephritis, parathyroid glands dysfunction, etc. The aim of this study was to evaluate the biochemical and hematological profile in a group of chronic kidney patients in Albania. A group of 247 chronic kidney disease patients is included in this study (170 adult males and 77 adult females). A group of biochemical parameters, such as urea, CRP, albuminemia, HbA1C, creatinine, ALT, AST, calcium, phosphate, CaxP product, sodium, potassium and hematological parameters, such as hemoglobin, red blood cells, white blood cells and PTH, where measured and compared to the findings from the control group. Results were analyzed statistically using SPSS 20 program for windows. From data analysis, we found a reduced count of red blood cells and hemoglobin, statistically significant change, compared to the control group (p0.05). High levels of PTH, serum urea, creatinine and hyperphosphatemia, accompanied by hypocalcemia, were found statistically significant compared to the control group (p0.05). From our observations, hypertension, diabetes and kidney stones were the main causes leading to chronic kidney disease. Evaluation of these parameters, results to be significant in the differentiation and management of the health state of these patients.