Analysis Of Potential Drugs Interaction On Antihypertensive Prescribing Patterns : A Retrospective Study

INTRODUCTION Cardiovascular disease ranks among the leading causes of death. Heart and blood vessel conditions known as cardiovascular diseases include coronary artery disease, rheumatic heart conditions, congenital heart defects, deep vein thrombosis, and pulmonary embolism. Being one of the systematic strategies for evaluating the standard of medical care, prescription audit also provides the documentation to back up diagnosis and treatment. METHOD Utilizing the UpToDate® online DDI checker, DDIs in the prescriptions were looked into. For the purpose of DDI identification in clinical settings, the UpToDate® database known as the Lexicomp Interact Module is typically employed. RESULT 103 prescriptions from the pharmacies were included in this investigation. The majority of the prescribed medications belonged to the type-C group (80), while Type-B, Type-D, and TYPE-X were, respectively, (44), (22) and (04). CONCLUSION Type-B, had greatest frequency of drugs-drug interactions with metformin-telmisartan, with 48.64% we declare from this data.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-08
DOI
https://doi.org/10.5281/zenodo.13273359
Primary Topic
Cell Image Analysis Techniques
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article
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article

Analysis Of Potential Drugs Interaction On Antihypertensive Prescribing Patterns : A Retrospective Study

Zenodo (CERN European Organization for Nuclear Research)
Cell Image Analysis Techniques
article

Analysis Of Potential Drugs Interaction On Antihypertensive Prescribing Patterns : A Retrospective Study

article en

Abstract

INTRODUCTION Cardiovascular disease ranks among the leading causes of death. Heart and blood vessel conditions known as cardiovascular diseases include coronary artery disease, rheumatic heart conditions, congenital heart defects, deep vein thrombosis, and pulmonary embolism. Being one of the systematic strategies for evaluating the standard of medical care, prescription audit also provides the documentation to back up diagnosis and treatment. METHOD Utilizing the UpToDate® online DDI checker, DDIs in the prescriptions were looked into. For the purpose of DDI identification in clinical settings, the UpToDate® database known as the Lexicomp Interact Module is typically employed. RESULT 103 prescriptions from the pharmacies were included in this investigation. The majority of the prescribed medications belonged to the type-C group (80), while Type-B, Type-D, and TYPE-X were, respectively, (44), (22) and (04). CONCLUSION Type-B, had greatest frequency of drugs-drug interactions with metformin-telmisartan, with 48.64% we declare from this data.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
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Cell Image Analysis Techniques
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