The Bayesian-Based Area under the Curve of Vancomycin by Using a Single Trough Level: An Evaluation of Accuracy and Discordance at Tertiary Care Hospital in KSA

Author:

Alzahrani Abdullah M.123,Naeem Anjum123ORCID,Alzhrani Rami M.4ORCID,Harbi Manar A.5ORCID,Alghamdi Sarah A.5,Karim Shahid6ORCID,Ali Ahmed S.6,Alsenaini Ghusun123,Hasan Hani123,Alkatheeri Ayed A.7ORCID,Basudan Samah S.8,Alzahrani Yahya A.27ORCID

Affiliation:

1. Pharmaceutical Care Department, Ministry of National Guard—Health Affairs, Jeddah 22384, Saudi Arabia

2. King Abdullah International Medical Research Center, Jeddah 21423, Saudi Arabia

3. College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah 22384, Saudi Arabia

4. Department of Pharmaceutics and Industrial Pharmacy, College of Pharmacy, Taif University, Taif 21944, Saudi Arabia

5. Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia

6. Department of Pharmacology, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, Saudi Arabia

7. Drug Information Center, Department of Pharmacy, East Jeddah Hospital, Ministry of Health, Jeddah 23816, Saudi Arabia

8. Department of Pharmacy, King Abdullah Medical Complex, Ministry of Health, Jeddah 23816, Saudi Arabia

Abstract

The AUC0–24 is the most accurate way to track the vancomycin level while the Cmin is not an accurate surrogate. Most hospitals in Saudi Arabia are under-practicing the AUC-guided vancomycin dosing and monitoring. No previous work has been conducted to evaluate such practice in the whole kingdom. The current study objective is to calculate the AUC0–24 using the Bayesian dosing software (PrecisePK), identify the probability of patients who receive the optimum dose of vancomycin, and evaluate the accuracy and precision of the Bayesian platform. This retrospective study was conducted at King Abdulaziz medical city, Jeddah. All adult patients treated with vancomycin were included. Pediatric patients, critically ill patients requiring ICU admission, patients with acute renal failure or undergoing dialysis, and febrile neutropenic patients were excluded. The AUC0–24 was predicted using the PrecisePK platform based on the Bayesian principle. The two-compartmental model by Rodvold et al. in this platform and patients’ dose data were utilized to calculate the AUC0–24 and trough level. Among 342 patients included in the present study, the mean of the estimated vancomycin AUC0–24 by the posterior model of PrecisePK was 573 ± 199.6 mg, and the model had a bias of 16.8%, whereas the precision was 2.85 mg/L. The target AUC0–24 (400 to 600 mg·h/L) and measured trough (10 to 20 mg/L) were documented in 127 (37.1%) and 185 (54%), respectively. Furthermore, the result demonstrated an increase in odds of AUC0–24 > 600 mg·h/L among trough level 15–20 mg/L group (OR = 13.2, p < 0.05) as compared with trough level 10–14.9 mg/L group. In conclusion, the discordance in the AUC0–24 ratio and measured trough concentration may jeopardize patient safety, and implantation of the Bayesian approach as a workable alternative to the traditional trough method should be considered.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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