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.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.