ANALYZING THE IMPACT OF STATINS USE IN TYPE 2 DIABETES MELLITUS PATIENTS AT A TERTIARY CARE HOSPITAL IN ANDHRA PRADESH

PANCHUMARTHI DIVYA JYOTHI; PONNADA SRI DURGA; YERUVA VEENA; SHAIK AFSARI

doi:10.22159/ajpcr.2020.v13i8.37862

Authors

PANCHUMARTHI DIVYA JYOTHI Department of Pharmacy Practice, Nirmala College of Pharmacy, Guntur, Andhra Pradesh, India.
PONNADA SRI DURGA Department of , Nirmala College of Pharmacy, Guntur, Andhra Pradesh, India.
YERUVA VEENA Department of , Nirmala College of Pharmacy, Guntur, Andhra Pradesh, India.
SHAIK AFSARI Department of , Nirmala College of Pharmacy, Guntur, Andhra Pradesh, India.

DOI:

https://doi.org/10.22159/ajpcr.2020.v13i8.37862

Keywords:

Type 2 diabetes mellitus, New-onset diabetic statins, Fasting blood sugar, Post-prandial blood sugar, Glycated hemoglobin, Cardiovascular disease

Abstract

Objectives: The objectives of the study were to analyze the impact of statins uses in Type-2 diabetes mellitus patients at a tertiary hospital.

Methods: It is a hospital-based prospective and observational study. The study was conducted in the General Medicine Department of Manipal Super Speciality Hospital, Vijayawada, Andhra Pradesh, India. Six months (August 2018–January 2019), 450 cases were collected from the general medicine department.

Results: A total of 450 patients data were collected, the results show that rosuvastatin at its list dose in this study (10 mg) was more effective at reducing fasting blood sugar (FBS), post-prandial blood sugar (PPBS), and hemoglobin A1C (HbA1c) levels than rosuvastatin combination. Moreover, significant increment of these levels (FBS, PPBS, and HbA1c) was observed with atorvastatin combination followed by atorvastatin (10 mg, 20 mg, and 40 mg) in both treatment group as well as a control group.

Conclusion: We concluded that there is a significant rise in blood glucose levels (both FBS and PPBS) and also HbA1c levels (glycated hemoglobin) due to the usage of statins for a longer duration. Statistical analysis was performed using the Pearson correlation coefficient method (SPSS 20. Version) and two-tailed analysis of variance. The results were represented as Z value (correlation coefficient) and p-value.

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