
ANALYZING THE IMPACT OF STATINS USE IN TYPE 2 DIABETES MELLITUS PATIENTS AT A TERTIARY CARE HOSPITAL IN ANDHRA PRADESH
Author(s) -
Panchumarthi Divya Jyothi,
Ponnada Sri Durga,
Veena Yeruva,
Shaik Afsari
Publication year - 2020
Publication title -
asian journal of pharmaceutical and clinical research
Language(s) - English
Resource type - Journals
eISSN - 2455-3891
pISSN - 0974-2441
DOI - 10.22159/ajpcr.2020.v13i8.37862
Subject(s) - medicine , rosuvastatin , atorvastatin , glycated hemoglobin , type 2 diabetes mellitus , diabetes mellitus , fasting blood sugar , hemoglobin , observational study , blood sugar , statistical significance , type 2 diabetes , endocrinology
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.