Author(s):
Sayan Kumar Das, Smita Shenoy, Muralidhar Varma, R Rajesh, Ravi Shankar, Sadhana Holla, Kavitha Saravu
Email(s):
dr.sayankumardas@gmail.com
DOI:
10.52711/0974-360X.2022.00326 
Address:
Sayan Kumar Das1*, Smita Shenoy2, Muralidhar Varma3, R Rajesh4, Ravi Shankar5, Sadhana Holla6, Kavitha Saravu7
1Department of Pharmacology, All India Institute of Medical Sciences, Saket Nagar, Bhopal – 462020 (MP).
2Department of Pharmacology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka.
3Department of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka.
4Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka.
5Department of Biostatistics, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi.
6Department of Pharmacology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka.
7Department of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Centre for Infectious Diseases (MAC ID), Manipal Academy of Higher Education, Manip
Published In:
Volume - 15,
Issue - 5,
Year - 2022
ABSTRACT:
The high prevalence of comorbid conditions, both communicable and non-communicable, in HIV patients dictate the need for prescription of additional medications which makes way for the possibility of a particular medication altering the intensity of the pharmacotherapeutic effect of a concomitantly administered medication, a potential drug-drug interaction (PDDI), which can lead to the precipitation of adverse effects and even treatment failure. In this retrospective observational study, data was collected from medical records of adult HIV positive patients on antiretroviral therapy (ART) with comorbidities who visited the hospital between January, 2015 and June, 2017. Using the University of Liverpool drug-interaction database, the identified interactions were classified into three categories. The category of PDDI requiring monitoring, dose adjustment or adjustment of time of dosing was taken and evaluated for the type of interaction, risk and prevalence. Time of onset and severity was determined using Micromedex drug-interaction database. Data analysis was done using descriptive statistics and binomial logistic regression was used for risk estimation. In this study, a total of 244 people were enrolled. A total of 711 PDDIs were identified. By analysing risk ratio, patients with more than 5 concomitant medications, protease inhibitor-based ART regimen, duration of illness (=6 years), cardiovascular disease and presence of coinfections were at a higher risk of development of PDDIs. Pharmacokinetic PDDIs (87.2%) were higher in comparison to pharmacodynamic PDDIs (12.8%). Awareness among prescribers of this silent but important occurrence will help in recognition, prevention and management of PDDI which might otherwise complicate the therapeutic outcome.
Cite this article:
Sayan Kumar Das, Smita Shenoy, Muralidhar Varma, R Rajesh, Ravi Shankar, Sadhana Holla, Kavitha Saravu. A Study of Potential drug-drug interactions in HIV positive individuals with Co-morbidities. Research Journal of Pharmacy and Technology. 2022; 15(5):1960-6. doi: 10.52711/0974-360X.2022.00326
Cite(Electronic):
Sayan Kumar Das, Smita Shenoy, Muralidhar Varma, R Rajesh, Ravi Shankar, Sadhana Holla, Kavitha Saravu. A Study of Potential drug-drug interactions in HIV positive individuals with Co-morbidities. Research Journal of Pharmacy and Technology. 2022; 15(5):1960-6. doi: 10.52711/0974-360X.2022.00326 Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2022-15-5-8
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