Mohammad Ismail1, Sana Aziz2, Sidra Noor2, Iqbal Haider3, Faryal Shams2, Inamul Haq2, Faiza Khadim2, Qasim Khan4, Fahadullah Khan2, Muhammad Asif2. 1. Department of Pharmacy, University of Peshawar, Khyber Pakhtunkhwa, Pakistan. Electronic address: ismailrph@upesh.edu.pk. 2. Department of Pharmacy, University of Peshawar, Khyber Pakhtunkhwa, Pakistan. 3. Department of Medicine, Khyber Teaching Hospital, Peshawar. Pakistan. 4. Department of Pharmacy, University of Peshawar, Khyber Pakhtunkhwa, Pakistan; Department of Pharmacy, COMSATS Institute of Information Technology, Abbottabad, Pakistan.
Abstract
PURPOSE: To investigate frequencies, levels, clinical relevance and predictors of potential drug-drug interactions (pDDIs) in pediatric intensive care unit (PICU). METHODS: Case notes of 411 patients were reviewed for pDDIs through Micromedex. Frequencies, levels and clinical relevance of pDDIs were reported. Logistic regression was applied to calculate the odds-ratios for predictors of pDDIs. RESULTS: We recorded pDDIs in 59.4% patients. Major-pDDIs were found in 34.5% patients. Total 990 pDDIs were identified, of which, 37.8% were of moderate-severity and 30.6% of major-severity. Patient's case notes of top-ten pDDIs showed presence of signs/symptoms such as fever, jaundice, vomiting, anorexia, tachycardia, drowsiness, & lethargy; and abnormalities in labs such as total leukocytes count, blood urea nitrogen, alanine aminotransferase, & potassium-level. Odds of exposure to major-pDDIs were significantly higher in patients aged 6-12years (p=0.008); hospital stay of ≥7days (p=0.05); and ≥11 prescribed medicines (p<0.001). CONCLUSION: Substantial numbers of patients in PICU are exposed to pDDIs. Major-pDDIs are of particular concern. Timely identification of pDDIs, preferably with computerized source, is crucial point for their management. Monitoring of clinically relevant parameters and identification of various predictors are needed to minimize or prevent the associated negative consequences of pDDIs.
PURPOSE: To investigate frequencies, levels, clinical relevance and predictors of potential drug-drug interactions (pDDIs) in pediatric intensive care unit (PICU). METHODS: Case notes of 411 patients were reviewed for pDDIs through Micromedex. Frequencies, levels and clinical relevance of pDDIs were reported. Logistic regression was applied to calculate the odds-ratios for predictors of pDDIs. RESULTS: We recorded pDDIs in 59.4% patients. Major-pDDIs were found in 34.5% patients. Total 990 pDDIs were identified, of which, 37.8% were of moderate-severity and 30.6% of major-severity. Patient's case notes of top-ten pDDIs showed presence of signs/symptoms such as fever, jaundice, vomiting, anorexia, tachycardia, drowsiness, & lethargy; and abnormalities in labs such as total leukocytes count, blood ureanitrogen, alanine aminotransferase, & potassium-level. Odds of exposure to major-pDDIs were significantly higher in patients aged 6-12years (p=0.008); hospital stay of ≥7days (p=0.05); and ≥11 prescribed medicines (p<0.001). CONCLUSION: Substantial numbers of patients in PICU are exposed to pDDIs. Major-pDDIs are of particular concern. Timely identification of pDDIs, preferably with computerized source, is crucial point for their management. Monitoring of clinically relevant parameters and identification of various predictors are needed to minimize or prevent the associated negative consequences of pDDIs.
Authors: Elisangela da Costa Lima; Barbara Dias Camarinha; Nathalia Cristina Ferreira Bezerra; Anderson Gonçalves Panisset; Raquel Belmino de Souza; Marcus Tolentino Silva; Luciane Cruz Lopes Journal: Front Pharmacol Date: 2020-12-03 Impact factor: 5.810
Authors: Nadir Yalçın; Merve Kaşıkcı; Hasan Tolga Çelik; Karel Allegaert; Kutay Demirkan; Şule Yiğit; Murat Yurdakök Journal: J Clin Med Date: 2022-08-12 Impact factor: 4.964