Assessment of Health-Related Quality of Life in Chronic Kidney Disease Patients: A Hospital-Based Cross-Sectional Study
Author:
Sharma Shivam1ORCID, Kalra Darpan1ORCID, Rashid Ishfaq12, Mehta Sudhir3, Maity Manish Kumar1ORCID, Wazir Khushi1, Gupta Sumeet4, Ansari Siddique Akber5ORCID, Alruqi Obaid S.5, Khan Roohi6, Khan Imran6, Anwar Sirajudheen7
Affiliation:
1. Department of Pharmacy Practice, M.M. College of Pharmacy, Maharishi Markandeshwar University, Ambala 133207, India 2. Department of Pharmacotherapy, College of Pharmacy, University of Utah, 30S 2000E, Salt Lake City, UT 84112, USA 3. Department of Nephrology, M.M. Institute of Medical Sciences and Research, Maharishi Markandeshwar University, Ambala 133207, India 4. Department of Pharmacology, M.M. College of Pharmacy, Maharishi Markandeshwar University, Ambala 133207, India 5. Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia 6. Department of General Medicine, King Khaled Hospital, Hail 55421, Saudi Arabia 7. Department of Pharmacology and Toxicology, College of Pharmacy, University of Hail, Hail 55476, Saudi Arabia
Abstract
Background: Health-related quality of life is rapidly becoming recognized as an important indicator of how a disease affects patient lives and for evaluating the quality of care, especially for chronic conditions such as chronic kidney disease (CKD). Objectives: This study is an attempt to assess the quality of life in patients with chronic kidney disease at MMIMSR and also identify characteristics that may be associated with their worsening quality of life. Materials and Methods: This cross-sectional investigation was conducted at the in-patient department (IPD) of the MMIMSR hospital. This study included 105 CKD patients and used a systematic random sampling method for quantitative analysis. This study utilized a 36-item short-form SF-36 (v1.3) questionnaire to assess HRQoL in CKD patients. Descriptive statistics were employed at the baseline. Chi square and ANOVA were used to draw comparisons between two groups or more than two groups, respectively. Logistic regression analysis was utilized to identify the potential QoL determinants. A p value of 0.05 or lower was used to determine statistical significance. Results: Among a total of 105 participants, the mean (±standard deviation) age was found to be 54.53 ± 13.47 years; 48 were male patients, and 57 were female patients. Diabetes Mellitus (61.9%), hypertension (56.2%), chronic glomerulonephritis (7.6%), chronic pyelonephritis (6.7%), and polycystic kidney disease (5.7%) were identified to be the most frequent disorders associated with CKD. The current study also demonstrated that the HRQoL score domains such as symptom problem list, the effect of kidney disease, and the burden of kidney disease decline significantly and progressively as the patient advances into higher stages of CKD (p = 0.005). A similar pattern was observed in work status, sleep, and general health (p < 0.005). Additionally, a statistically significant difference was noted for cognitive function, quality of social interaction, overall health, dialysis staff encouragement, patient satisfaction, social support, physical functioning, role of physical health, pain, emotional well-being, role of emotional health, social functioning, and energy fatigue (p < 0.005). The mean difference for PCS and MCS based on CKD stages was found to be statistically significant (p < 0.005). The PCS and MCS showed a positive correlation with GFR (r = 0.521), and Hb (r = 0.378), GFR (r = 0.836), and Hb (r = 0.488), respectively. Conclusions: The findings of this study demonstrated that a significant decrease in HRQoL was observed among CKD patients, with a progressive deterioration of HRQoL dimensions as the patient advances to end-stage renal disease. This study also revealed that CKD imposes various restrictions on patients’ day-to-day lives, particularly in terms of their physical and mental functioning, even in the initial stages of the disease.
Funder
King Saud University
Reference27 articles.
1. Comments on ‘KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease’;Andrassy;Kidney Int.,2013 2. Trifirò, G., Sultana, J., Giorgianni, F., Ingrasciotta, Y., Buemi, M., Muscianisi, M., Tari, D.U., Perrotta, M., Canale, V., and Arcoraci, V. (2014). Chronic kidney disease requiring healthcare service: A new approach to evaluate epidemiology of renal disease. BioMed Res. Int., 2014. 3. Quality of life in end stage renal disease: A concept analysis;Boudreau;CANNT J.,2014 4. Epidemiology of chronic kidney disease: An update 2022;Kovesdy;Kidney Int. Suppl.,2022 5. The impact of CKD identification in large countries: The burden of illness;Jha;Nephrol. Dial. Transpl.,2012
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