Bahia Chahine1. 1. School of Pharmacy, Lebanese International University, Beirut, Lebanon. bahia.chahine@liu.edu.lb.
Abstract
BACKGROUND: Infections in patients with chronic kidney disease (CKD) are a major cause of hospitalization. The pharmacokinetics of renally eliminated antibiotics may lead to drug accumulation, resulting in potential toxicity. The renal dosing adjustment of antibiotics is crucial to avoid toxicity and decrease mortality. In Lebanon, limited data are available on antibiotic dose adequacy in CKD. OBJECTIVES: To estimate the prevalence of inappropriately dosed antibiotics in non-dialysis CKD patients and to identify possible risk factors that may be associated with unadjusted renal dosing. METHODS: A retrospective chart review was conducted at two tertiary-care hospitals in Lebanon. International Statistical Classification of Diseases (ICD-10) code for CKD was used to search the databases. Demographic and clinical data were collected for patients who received antibiotics that requires renal dosing adjustment. Lexi-Comp online Drug Information database was the guideline used to evaluate the appropriateness of dosing. RESULTS: A total of 495 antibiotic orders were dispensed to 190 patients. 51.6% of patients received antibiotics without renal dose adjustments. The most inappropriately dosed class was penicillins (39.8%), while fluoroquinolones were the most adequately adjusted. Piperacillin/tazobactam was the most frequently prescribed drug (30.6%) without renal dose adjustment. Respiratory infections (OR 1.301, CI 95% 1.327-1.915) and multimorbidity (OR 1.183, CI 95% 1.358-2.081) were statistically highly significant associations for unadjusted antibiotic dosing from the fitted multivariable-adjusted logistic models. CONCLUSION: Our study revealed a high frequency of guideline-discordant antibiotic dosing in patients with CKD. This dosing error is preventable by increasing awareness of prescribing physicians and collaborating with clinical pharmacists.
BACKGROUND: Infections in patients with chronic kidney disease (CKD) are a major cause of hospitalization. The pharmacokinetics of renally eliminated antibiotics may lead to drug accumulation, resulting in potential toxicity. The renal dosing adjustment of antibiotics is crucial to avoid toxicity and decrease mortality. In Lebanon, limited data are available on antibiotic dose adequacy in CKD. OBJECTIVES: To estimate the prevalence of inappropriately dosed antibiotics in non-dialysis CKD patients and to identify possible risk factors that may be associated with unadjusted renal dosing. METHODS: A retrospective chart review was conducted at two tertiary-care hospitals in Lebanon. International Statistical Classification of Diseases (ICD-10) code for CKD was used to search the databases. Demographic and clinical data were collected for patients who received antibiotics that requires renal dosing adjustment. Lexi-Comp online Drug Information database was the guideline used to evaluate the appropriateness of dosing. RESULTS: A total of 495 antibiotic orders were dispensed to 190 patients. 51.6% of patients received antibiotics without renal dose adjustments. The most inappropriately dosed class was penicillins (39.8%), while fluoroquinolones were the most adequately adjusted. Piperacillin/tazobactam was the most frequently prescribed drug (30.6%) without renal dose adjustment. Respiratory infections (OR 1.301, CI 95% 1.327-1.915) and multimorbidity (OR 1.183, CI 95% 1.358-2.081) were statistically highly significant associations for unadjusted antibiotic dosing from the fitted multivariable-adjusted logistic models. CONCLUSION: Our study revealed a high frequency of guideline-discordant antibiotic dosing in patients with CKD. This dosing error is preventable by increasing awareness of prescribing physicians and collaborating with clinical pharmacists.
Authors: Waleed M Sweileh; Samah A Janem; Ansam F Sawalha; Adham S Abu-Taha; Sa'ed H Zyoud; Iyad A Sabri; Samah W Al-Jabi; Nidal A Jaradat; Abed Al-Naser M Zaid Journal: Pharmacoepidemiol Drug Saf Date: 2007-08 Impact factor: 2.890
Authors: Jason A Roberts; Sanjoy K Paul; Murat Akova; Matteo Bassetti; Jan J De Waele; George Dimopoulos; Kirsi-Maija Kaukonen; Despoina Koulenti; Claude Martin; Philippe Montravers; Jordi Rello; Andrew Rhodes; Therese Starr; Steven C Wallis; Jeffrey Lipman Journal: Clin Infect Dis Date: 2014-01-14 Impact factor: 9.079