ARB AND BIGUANIDE TAILORED BILAYER TABLET: AS POTENTIAL APPROACH IN EFFECTIVE THERAPEUTIC MANAGEMENT OF DIABETIC PATIENTS HAVING HYPERTENSION
Paper Title: ARB AND BIGUANIDE TAILORED BILAYER TABLET: AS POTENTIAL APPROACH IN EFFECTIVE THERAPEUTIC MANAGEMENT OF DIABETIC PATIENTS HAVING HYPERTENSION
Authors Name: PRIYA THAKUR , Gourav kumar Bairagi , Souvik Sen
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Author Reg. ID: TIJER_100959
Published Paper Id: TIJER2303235
Published In: Volume 10 Issue 3, March-2023
Abstract: The aim of present study was to develop bilayer tablets of Irbesartan as immediate layer and Metformin hydrochloride as sustained release layer to treat hypertension in type II diabetic patients. Hypertension is also one of the complications of type II Diabetes. The bilayer tablets were formulated to reduce the polytherapy to monotherapy, thus improving patient compliance. The tablets were formulated using hydrophilic polymers such as HPMC K4M and HPMC K100M in varying ratios to retard the drug release for a period of 10 hours. The immediate release layer of Irbesartan was formulated using Sodium Starch Glycolate (2% and 4%). All the formulations were evaluated for physical characteristics, drug content, dissolution, release kinetics and stability studies. The stability studies indicated that the bilayer tablets were stable and do not show any significant changes in the physical characteristics, drug content and dissolution. The results obtained were found to be within the limits. Along with this all results shown promising outcomes in effective therapeutic management of type II diabetes with hypertension.
Keywords: Diabetes, hypertension, Irbesartan
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Page No: 746-831
Country: Jabalpur, Madhya Pradesh, India
Research Area: Pharmacy All
Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2303235
Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2303235
ISSN:
2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar| ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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