ANTIBIOTIC USAGE PATTERNS IN CHRONIC KIDNEY DISEASE PATIENTS IN A TERTIARY CARE TEACHING HOSPITAL
Author(s)
Sreedharan Nair, M Pharm PhD1, Emad Alijani, Pharm D1, Prasanna Kumar, M Pharm PhD1, Ravindra Attur Prabhu, DM, DNB2.
1Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India, 2Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
1Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India, 2Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
OBJECTIVES: To identify the most prescribed antibiotics in chronic kidney disease patients and to assess the antibiotic usage pattern based on the WHO AWaRe classification system.
METHODS: A retrospective observational study was conducted at tertiary care teaching hospital in Udupi district, India over a period of one year. Data regarding demographic characteristics and antibiotic prescription patterns were retrospectively retrieved from hospital medical records. A total of 185 patients diagnosed with CKD who fulfilled the inclusion criteria were included in the study. The prescribed antibiotics were classified according to the WHO AWaRe classification system. Data were analysed using descriptive and inferential statistics, with p < 0.05 considered statistically significant.
RESULTS: Among 185 patients and 276 antibiotics prescribed, the majority were males 140 (75.68%), while females accounted for 45 (24.32%), with the highest prevalence of CKD observed in the age group of 51-70 years. Most antibiotics prescribed belonged to the Watch group 221 (80.07%), followed by the Access 49 (17.75%) and Reserve 6 (2.17%) categories. cephalosporins were the most frequently prescribed antibiotics 97 (35.14%), followed by penicillins 41 (14.86%), carbapenems 38 (13.77%), and macrolides 33 (11.96%). Other classes such as glycopeptides, lincosamides, fluoroquinolones, tetracyclines, and aminoglycosides were prescribed less frequently. There was no statistically significant association found between the demographic characteristics and AWaRe classification of antibiotics.
CONCLUSIONS: The study findings highlight the greater dependency on Watch-category of antibiotics among patients diagnosed with CKD . Optimizing the prescription patterns by adopting the WHO AWaRe classification can reduce the risk of antimicrobial resistance (AMR) and prevent unnecessary escalation of watch-category antibiotics, ensuring effective CKD management in patients.
METHODS: A retrospective observational study was conducted at tertiary care teaching hospital in Udupi district, India over a period of one year. Data regarding demographic characteristics and antibiotic prescription patterns were retrospectively retrieved from hospital medical records. A total of 185 patients diagnosed with CKD who fulfilled the inclusion criteria were included in the study. The prescribed antibiotics were classified according to the WHO AWaRe classification system. Data were analysed using descriptive and inferential statistics, with p < 0.05 considered statistically significant.
RESULTS: Among 185 patients and 276 antibiotics prescribed, the majority were males 140 (75.68%), while females accounted for 45 (24.32%), with the highest prevalence of CKD observed in the age group of 51-70 years. Most antibiotics prescribed belonged to the Watch group 221 (80.07%), followed by the Access 49 (17.75%) and Reserve 6 (2.17%) categories. cephalosporins were the most frequently prescribed antibiotics 97 (35.14%), followed by penicillins 41 (14.86%), carbapenems 38 (13.77%), and macrolides 33 (11.96%). Other classes such as glycopeptides, lincosamides, fluoroquinolones, tetracyclines, and aminoglycosides were prescribed less frequently. There was no statistically significant association found between the demographic characteristics and AWaRe classification of antibiotics.
CONCLUSIONS: The study findings highlight the greater dependency on Watch-category of antibiotics among patients diagnosed with CKD . Optimizing the prescription patterns by adopting the WHO AWaRe classification can reduce the risk of antimicrobial resistance (AMR) and prevent unnecessary escalation of watch-category antibiotics, ensuring effective CKD management in patients.
Conference/Value in Health Info
2026-11, ISPOR Europe 2026, Vienna, Austria
Value in Health, Volume 29, Issue 12S
Code
CO43
Topic
Clinical Outcomes, Organizational Practices, Patient-Centered Research
Disease
No Additional Disease & Conditions/Specialized Treatment Areas, Urinary/Kidney Disorders