Determination of Potential Drug-Drug Interactions in Patients Using Quinolone Group Antibiotics

Year 2024, Volume: 34 Issue: 3, 371 - 375, 30.06.2024

Cengizhan Ceylan , Erdenay Erden Cansu Göncüoğlu , Harun Kızılay , Şeyma Tetik Rama , Yeşim Şerife Bayraktar , Jale Bengi Çelik , Görkem Yılmazer , Esranur Kıratlı , Nazlım Aktuğ Demir , Şua Sümer , Onur Ural

https://doi.org/10.54005/geneltip.1439326

Abstract

Aim: The aim of the study was to determine the potential drug drug interactions of patients receiving inpatient treatment in the intensive care unit and infectious diseases ward and using quinolone group antibiotics by using different interaction software programs.
Material and Methods: The prescriptions of 100 patients who received inpatient treatment in infectious diseases service and intensive care unit at Selçuk University Faculty of Medicine Hospital between January 2022 and December 2022 and who were treated with quinolone group antibiotics during treatment were analyzed retrospectively.
Results: Of the patients included in the study, 62 were male and 38 were female. The mean age of men was 65.76 ± 16.22 years, while the mean age of women was 68.63 ± 16.29 years. While Medscape® detected a total of 1776 interactions, this number was 1432 in Lexicomp® and 1693 in Drugs®.While 0.33% of the interactions detected in the Medscape® software program were contraindicated, 3.77% of the interactions were contraindicated in Lexicomp®. Kendall W coefficient 0.94, Chi-Square test 281.12, p <0.001 were found to be statistically significant. The software programs used to detect pDDIs are highly compatible with each other.
Conclusion: High agreement was found between software programs used to detect potential drug-drug interactions. Interaction classifications between software programs are different. Therefore, clinicians may benefit from different software programs.

Keywords

Drug interactions, Software, Quinolone, Antibiotics

Kinolon Grubu Antibiyotik Kullanan Hastalarda Potansiyel İlaç-İlaç Etkileşimlerinin Belirlenmesi

Abstract

Amaç: Çalışmanın amacı, yoğun bakım ünitesi ve enfeksiyon hastalıkları servisinde yatarak tedavi gören ve kinolon grubu antibiyotik kullanan hastaların potansiyel ilaç etkileşimlerinin farklı etkileşim yazılım programları kullanılarak belirlenmesidir.
Yöntem: Ocak 2022-Aralık 2022 tarihleri arasında Selçuk Üniversitesi Tıp Fakültesi Hastanesi Enfeksiyon Hastalıkları Servisi ve Yoğun Bakım Ünitesi’nde yatarak tedavi gören ve tedavi sırasında kinolon grubu antibiyotiklerle tedavi edilen 100 hastanın reçeteleri retrospektif olarak incelenmiştir.
Bulgular: Çalışmaya dahil edilen hastaların 62’si erkek, 38’i kadındı. Erkeklerin yaş ortalaması 65,76 ± 16,22 iken kadınların yaş ortalaması 68,63 ± 16,29’dur. Medscape® toplam 1776 etkileşim tespit ederken, bu sayı Lexicomp®’ta 1432, Drugs®’ta ise 1693’tür. Medscape® yazılım programında tespit edilen etkileşimlerin %0,33’ü kontrendike iken, Lexicomp®’ta etkileşimlerin %3,77’si kontrendike bulunmuştur. Kendall W katsayısı 0.94, Ki-Kare testi 281.12, p<0.001 istatistiksel olarak anlamlı bulunmuştur. Potansiyel ilaç-ilaç etkileşimlerini tespit etmek için kullanılan yazılım programları birbirleriyle yüksek uyum içerisindedir.
Sonuç: Potansiyel ilaç-ilaç etkileşimlerini tespit etmek için kullanılan yazılım programları arasında yüksek uyum bulunmuştur. Yazılım programları arasındaki etkileşim sınıflandırmaları farklıdır. Bu nedenle, klinisyenler farklı yazılım programlarından faydalanabilirler.

Keywords

İlaç etkileşimleri, Yazılım, Kinolon, Antibiyotik

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