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1.
Saudi Pharm J ; 32(3): 101958, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38322149

RESUMO

Introduction:  The universal increase in obesity and diabetes has increased the chronic kidney disease (CKD) rate. In 2017, almost 800 million individuals suffered from CKD worldwide. Kidney dialysis becomes necessary as the disease progresses. Dialysis negatively impacts CKD patients' quality of life (QoL). It causes several complications that affect patients' physical, social, psychological, and spiritual aspects of life. This systematic review aims to identify condition-specific tools used to assess CKD patients' quality of life on dialysis. Material and Methods: A systematic literature search was conducted to investigate studies using QoL tools among patients on dialysis from February 2000 to June 2023. The search was conducted in several databases and followed the PRISMA guidelines. The focus was to identify tools that capture intrinsic factors, such as spiritual subdomains, rather than extrinsic factors, such as environmental subdomains. Results: The review identified five studies and seven dialysis-specific tools for assessing the QoL of CKD patients on dialysis. The physical domain was the most assessed, followed by the psychological and social domains. Fatigue, muscle weakness, sleep disorders, and pain were identified as the most common concerns in the physical domain. Conclusion: Dialysis negatively impacts all aspects of QoL in CKD patients. This review can guide clinicians in understanding the disease and treatment burden by identifying the most appropriate tools for assessing the QoL of adult CKD patients undergoing dialysis. There is a need for further studies to explore the detrimental effects of CKD treatment and better understand its impact on patients' QoL.

2.
Saudi Pharm J ; 30(3): 230-236, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35498218

RESUMO

Background and Objectives: The percentage of Saudi older adults (SOA) is increasing over time. With advanced age, the prevalence of chronic diseases and multiple disabilities are increasing. This leads to increase utilization of multiple medications. The objectives of this study were to describe medication utilization, determine the prevalence of polypharmacy (PP) and factors associated with it among SOA. Methods: This cross-sectional study was conducted among community-dwelling SOA aged ≥ 60 years old using the Saudi National Survey for Elderly Health (SNSEH). The survey was conducted between 2006 and 2007 by the Ministry of Health on a nationally representative sample of SOA. The data included demographics, socioeconomic and health information such as diseases and medications. Polypharmacy was defined as the concurrent use of medications from ≥ 5 therapeutic classes. A modified Poisson multivariable regression was used to study factors associated with PP controlling for confounders. All analyses were done using STATA 14. Results: The study included 2,946 SOA; 50.4% were males, 60.9% were 60-70 years old, and 69.6% were illiterate. The most common medications used among SOA were: Paracetamol (67%), joint pain medications and NSAIDs (50% each), anti-diabetic and multivitamins and minerals (47% each). PP was identified in (51.5%) of participants. The most medication associated with PP were: Paracetamol (79.9%), multivitamins and minerals (71.6%), steroid and DMARDs (70.1%), NSAIDs (66.4%), anti-diabetic and anti-hypertensive (61.3%). Higher risk of PP was associated with diabetes (RR: 1.863; 95% CI: 1.686-2.059), hypertension (RR: 1.829; 95% CI: 1.624-2.060), having pain (RR: 2.282; 95% CI: 1.918-2.713), urinary incontinence (RR: 1.389; 95% CI: 1.238-1.560; ref: no urinary incontinence) or suggestive depression (RR: 1.379; 95% CI: 1.259-1.512). Similarly, compared to low income (<2500 SAR), higher incomes were more likely to have PP. On the other hand, compared to the central region, southern and northern regions were less likely to have PP (RR = 0.741; 95% CI: 0.652-0.843 and RR: 0.736; 95% CI: 0.596-0.908, respectively). Severe cognitive impairment was associated with a lower risk of PP (RR: 0.708; 95% CI: 0.501-1.000). Conclusion: The prevalence of PP among a nationally representative SOA was very high, i.e., 51.5%. Higher risk of PP was associated with many factors such as region, income, diabetes, hypertension, musculoskeletal pain, urinary incontinence, and depression. PP leads to many negative implications such as drug interactions, combined side effects, hospitalization, and death. Therefore, raising the knowledge of health care providers on the consequences of PP and providing medication therapy management services may help decrease the negative consequences of PP and improve therapy outcomes.

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