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Abstract:
Antibiotic prescribing in patients with chronic kidney disease (CKD) involves balancing therapeutic efficacy with the risk of drug toxicity due to impaired renal clearance. This study evaluates whether antimicrobial prescriptions are appropriately adjusted for renal function in patients admitted to a tertiary care hospital and identifies the antibiotics most frequently dosed incorrectly, based on established clinical guidelines. Dose adjustment according to kidney function is critical, as improper dosing can reduce efficacy or increase the risk of adverse effects. In renal impairment, drug and metabolite accumulation can cause serious toxicities, emphasizing the need for careful dosing.
The study was conducted at a tertiary care hospital and included 150 inpatients diagnosed with various renal disorders across different wards. Demographic data were collected, and renal function was assessed using the Cockcroft-Gault formula to calculate creatinine clearance. For patients with a creatinine clearance below 50 mL/min, prescribed antibiotic doses were compared against standard guidelines to determine appropriateness.
Out of 277 antibiotic prescriptions analyzed, 291 dosing instructions (38.52%) required adjustment based on renal function. Among 519 total dosing opportunities, 235 prescriptions (32.68%) were appropriately adjusted, 9 (1.25%) required no adjustment, and 275 (38.24%) were not adjusted per renal dosing guidelines. Cefoperazone-Sulbactam was the most frequently inappropriately dosed antibiotic, with incorrect dosing observed in 61% of cases. In contrast, Amikacin and Cefepime were more often prescribed with correct dose adjustments.
"Reviewing of Antibiotic Dosage Adjustment in Renal Insufficiency", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b225-b230, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506130.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator