DETERMINATION OF POTENTIAL DRUG-DRUG INTERACTIONS IN GENERAL PEDIATRIC WARD PATIENTS: A CROSS-SECTIONAL STUDY

Hasan Memiş; Ahmet Çakır; Nesligül Özdemir; Zeynep Ülkü Gün

Makale detayları

DETERMINATION OF POTENTIAL DRUG-DRUG INTERACTIONS IN GENERAL PEDIATRIC WARD PATIENTS: A CROSS-SECTIONAL STUDY

Yazarlar:

Hasan Memiş | Ahmet Çakır | Nesligül Özdemir | Zeynep Ülkü Gün

Yayıncı:

Ankara University

Ana Başlıklar:

Eczacılık ve İlaç Bilimleri

Dergi:

Ankara Üniversitesi Eczacılık Fakültesi Dergisi Vol.47 Issue 2, pp.520-530

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282832

pISSN:

1015-3918

Anahtar kelimeler:

Özet:

 Objective: This study seeks to identify potential drug-drug interactions pDDIs in hospitalized patients and compare two commercial drug interaction databases. Material and Method: This prospective cross-sectional study was conducted between February and May 2022 in a tertiary care hospitals general pediatric ward. UpToDate and Micromedex Drug Interaction databases were used to determine pDDIs. Result and Discussion: In total, 267 pDDIs were found in 51 pediatric patients medication lists 181 via UpToDate and 86 via Micromedex. The use of at least five different systemic drugs concurrently was statistically significant between groups of patients who experienced at least one pDDI and those who did not. The binary logistic regression analysis showed that a one-drug increase in the total number of drugs a patient received during hospitalization increased the probability of pDDIs by 2.12-fold CI: 1.321-3.417, p0.002. The concordance rate between UpToDate and Micromedex databases for pDDI determination was 84.31 kappa coefficient0.676, standard error0.102, p  0.001. When the UpToDate database was assumed as a reference database, the Micromedex databases sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in determining pDDIs were 79.41, 94.12, 96.43, 69.56, and 84.5. To avoid missing pDDIs, utilizing multiple drug interaction databases may be of benefit.

 Objective: This study seeks to identify potential drug-drug interactions pDDIs in hospitalized patients and compare two commercial drug interaction databases. Material and Method: This prospective cross-sectional study was conducted between February and May 2022 in a tertiary care hospitals general pediatric ward. UpToDate and Micromedex Drug Interaction databases were used to determine pDDIs. Result and Discussion: In total, 267 pDDIs were found in 51 pediatric patients medication lists 181 via UpToDate and 86 via Micromedex. The use of at least five different systemic drugs concurrently was statistically significant between groups of patients who experienced at least one pDDI and those who did not. The binary logistic regression analysis showed that a one-drug increase in the total number of drugs a patient received during hospitalization increased the probability of pDDIs by 2.12-fold CI: 1.321-3.417, p0.002. The concordance rate between UpToDate and Micromedex databases for pDDI determination was 84.31 kappa coefficient0.676, standard error0.102, p  0.001. When the UpToDate database was assumed as a reference database, the Micromedex databases sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in determining pDDIs were 79.41, 94.12, 96.43, 69.56, and 84.5. To avoid missing pDDIs, utilizing multiple drug interaction databases may be of benefit.

 Objective: This study seeks to identify potential drug-drug interactions pDDIs in hospitalized patients and compare two commercial drug interaction databases. Material and Method: This prospective cross-sectional study was conducted between February and May 2022 in a tertiary care hospitals general pediatric ward. UpToDate and Micromedex Drug Interaction databases were used to determine pDDIs. Result and Discussion: In total, 267 pDDIs were found in 51 pediatric patients medication lists 181 via UpToDate and 86 via Micromedex. The use of at least five different systemic drugs concurrently was statistically significant between groups of patients who experienced at least one pDDI and those who did not. The binary logistic regression analysis showed that a one-drug increase in the total number of drugs a patient received during hospitalization increased the probability of pDDIs by 2.12-fold CI: 1.321-3.417, p0.002. The concordance rate between UpToDate and Micromedex databases for pDDI determination was 84.31 kappa coefficient0.676, standard error0.102, p  0.001. When the UpToDate database was assumed as a reference database, the Micromedex databases sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in determining pDDIs were 79.41, 94.12, 96.43, 69.56, and 84.5. To avoid missing pDDIs, utilizing multiple drug interaction databases may be of benefit.

 Amaç: Bu çalışma, hastanede yatan hastalarda potansiyel ilaç-ilaç etkileşimlerini pDDIler belirlemeyi ve iki ticari ilaç etkileşimi veri tabanını karşılaştırmayı amaçlamaktadır. Gereç ve Yöntem: Bu prospektif kesitsel çalışma, Şubat ve Mayıs 2022 tarihleri arasında üçüncü basamak bir hastanenin genel pediyatri servisinde yürütülmüştür. pDDIleri belirlemek için UpToDate ve Micromedex İlaç Etkileşimi veritabanları kullanılmıştır. Sonuç ve Tartışma: Elli bir pediatrik hastanın ilaç listesinde toplam 267 pDDI bulunmuştur UpToDate aracılığıyla 181 ve Micromedex aracılığıyla 86. En az beş farklı sistemik ilacın aynı anda kullanımı, en az bir pDDI saptanmış ve saptanmamış hasta grupları arasında istatistiksel olarak anlamlıydı. İkili lojistik regresyon analizi, bir hastanın hastanede yatışı sırasında aldığı toplam ilaç sayısındaki bir ilaç artışının, pDDI olasılığını 2.12 kat artırdığını göstermiştir GA: 1.321-3.417, p0.002. pDDI saptnmasında UpToDate ve Micromedex veritabanları arasındaki uyum oranı 84.31 olarak bulunmuştur kappa katsayısı0.676, standart hata0,102, p  0.001. UpToDate veri tabanı referans veri tabanı olarak kabul edildiğinde, Micromedex veri tabanının pDDIleri belirlemedeki hassasiyeti, özgüllüğü, pozitif prediktif değeri, negatif prediktif değeri ve doğruluğu 79.41, 94.12, 96.43, 69.56 ve 84.5 idi. Bir pDDIyı atlamaktan kaçınmak için çoklu ilaç etkileşimi veritabanlarının kullanılması faydalı olabilir.

Makale detayları

DETERMINATION OF POTENTIAL DRUG-DRUG INTERACTIONS IN GENERAL PEDIATRIC WARD PATIENTS: A CROSS-SECTIONAL STUDY

Yazarlar:

Hasan Memiş | Ahmet Çakır | Nesligül Özdemir | Zeynep Ülkü Gün

Yayıncı:

Ankara University

Ana Başlıklar:

Eczacılık ve İlaç Bilimleri

Dergi:

Ankara Üniversitesi Eczacılık Fakültesi Dergisi Vol.47 Issue 2, pp.520-530

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282832

pISSN:

1015-3918

Children

clinical pharmacist

drug interactions

pediatric patients

Çocuklar

ilaç etkileşimleri

klinik eczacı

pediyatrik hastalar

Sayı

Makale detayları

Yazarlar: Hasan Memiş | Ahmet Çakır | Nesligül Özdemir | Zeynep Ülkü Gün

Yayıncı: Ankara University

Ana Başlıklar: Eczacılık ve İlaç Bilimleri

Dergi: Ankara Üniversitesi Eczacılık Fakültesi Dergisi Vol.47 Issue 2, pp.520-530

Belge Tipi: Makale

Yayın Tarihi: 5/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001282832

pISSN: 1015-3918

Sayı

Yazarlar:

Hasan Memiş | Ahmet Çakır | Nesligül Özdemir | Zeynep Ülkü Gün

Yayıncı:

Ankara University

Ana Başlıklar:

Eczacılık ve İlaç Bilimleri

Dergi:

Ankara Üniversitesi Eczacılık Fakültesi Dergisi Vol.47 Issue 2, pp.520-530

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282832

pISSN:

1015-3918