Background Chronic kidney disease (CKD) is a challenging global health problem with increasing prevalence worldwide. Concurrence of CKD and comorbidities results in the use of multiple medications and exposing patients to polypharmacy. Polypharmacy in CKD is common across all the stages of the disease and leads to poor medication adherence, higher healthcare costs, and drug-related problems, such as drug-drug interactions (DDIs) and adverse drug reactions (ADRs). DDIs and ADRs in CKD patients may lower the quality of life, increase the length of hospital stay, and augment the risks of morbidity and mortality. Methodology This was a hospital-based, prospective, cross-sectional study conducted in a secondary care hospital. The study population comprised 130 adult CKD patients admitted to the nephrology department including those on maintenance hemodialysis. Study-related data were obtained from the electronic patient case records. Medications prescribed to the patients were analyzed for potential DDIs (pDDIs) using Portable Emergency and Primary Care Information Database (PEPID 12.1) drug interaction checker. All observed and reported suspected ADRs related to the prescribed drugs were evaluated for causality, severity, preventability, and predictability. Results Out of the 130 patients, majority were males (n = 71, 54.6%), in the age group of 61-70 years (n = 45, 34.6%), and belonged to CKD stage 5 (n = 105, 80.8%). The mean number of drugs prescribed was 11.1 ± 3.8 per patient. The prevalence of pDDIs was found to be 89.2%. Upon analysis by the PEPID database, 708 pDDIs with 215 different pairs of interacting drugs were identified. Polypharmacy (odds ratio (OR): 62.34, 95% confidence interval (CI): 7.97-487.64, p < 0.001) was identified as an independent predictor of the occurrence of pDDIs. Negative binomial regression analysis revealed that dyslipidemia (incidence rate ratio (IRR): 2.7, 95% CI 2.09-3.48, p < 0.001) and diabetes (IRR: 1.2, 95% CI 1.01-1.54, p = 0.040) increased the probability of occurrence of pDDI by 2.7 and 1.2 folds, respectively. Furthermore, the likelihood of pDDI increased with every one-day increase in the length of hospital stay (IRR: 1.02, 95% CI 1.00-1.03, p = 0.015) by 1.02 times and polypharmacy (IRR: 6.30, 95% CI 3.04-13.02, p < 0.001) by 6.3 times. The incidence of ADRs was found to be 10.7%. Majority of suspected ADRs were possible (n = 7, 50.0%), of mild and moderate severity (n = 7, 50.0%), and non-preventable (n = 8, 57.1%) type. Conclusions This study investigated two important drug-related problems, pDDIs, and ADRs, in the CKD population. High proportion of CKD patients in the study had pDDIs. Comorbid conditions such as dyslipidemia and diabetes mellitus, length of hospital stay, and polypharmacy were significantly associated with increased likelihood of pDDIs. Furthermore, there was a burden of ADRs in the study population, of which most ADRs were possible and of mild to moderate severity. Prevention, identification, and resolution of these problems in CKD patients is important and can be achieved through medication optimization, which requires a proactive interdisciplinary collaboration between clinicians, clinical pharmacists, and other healthcare professionals.
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http://dx.doi.org/10.7759/cureus.24019 | DOI Listing |
Expert Opin Drug Saf
December 2024
Grupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A, Pereira, Risaralda, Colombia.
Background: Most antibiotics require dose adjustments in patients with chronic kidney disease (CKD) to avoid accumulation and toxicity. The aim was to characterize the use of systemic antibiotics in a group of patients with CKD and to adjust the dose according to the glomerular filtration rate (GFR).
Research Design And Methods: Observational study of patients with a diagnosis of CKD who received antibiotics between January-2021 July 2022.
J Clin Lab Anal
December 2024
Servicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.
Aims: Serum creatinine and albuminuria are the core of most CKD prediction and progression risk models. Several biomarkers have been introduced to improve these results such as beta-2-microglobulin (B2M) and cystatin C (CysC). Nevertheless, few clinical comparisons of these biomarkers are available.
View Article and Find Full Text PDFJ Pharm Technol
December 2024
Division of Outcomes and Practice Advancement, Department of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA.
Expansion of sodium-glucose cotransporter-2 inhibitor (SGLT2i) use in chronic kidney disease (CKD) prompted a pragmatic study of their safety and effectiveness in patients with type 2 diabetes mellitus (T2DM) and late-stage CKD. The primary clinical endpoint was change in HbA. Secondary clinical endpoints included change in body weight and blood pressure.
View Article and Find Full Text PDFPeerJ
December 2024
Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Background: Data on risk of developing chronic kidney disease (CKD) between non-obese and obese non-alcoholic fatty liver disease (NAFLD) patients are limited. We aimed to reveal the risk difference of incident CKD between non-obese and obese NAFLD patients.
Methods: We searched PubMed, Embase, and Web of Science databases for studies which reported the incidence of CKD in non-obese and obese NAFLD from inception to 10 March 2024.
Cureus
November 2024
Internal Medicine, Hamad Medical Corporation, Doha, QAT.
Background Diabetic nephropathy is a serious complication of diabetes that significantly increases the risk of chronic kidney disease (CKD) and end-stage renal disease (ESRD). A critical concern in managing patients with diabetic nephropathy is the prevalence of potentially inappropriate medications (PIMs), which can exacerbate kidney dysfunction and lead to adverse health outcomes. PIMs are defined as medications whose risks outweigh their benefits, particularly when safer alternatives are available.
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