A hospital-based observational study of type 2 diabetic subjects from Gujarat, India

Analysis of Prescription Pattern of Anti-diabetic Medications in a Teaching Hospital in North India

PURPOSE

This retrospective observational study aimed to comprehensively analyse the clinical profile and treatment modalities of patients diagnosed with type 2 diabetes mellitus (T2DM) who were treated at a tertiary care centre.

METHODS

The study included a cohort of 300 individuals who sought medical care at the hospital from January 2023 to January 2024. The analysis primarily examined parameters such as the mean number of anti-diabetic medications per prescription, the proportion of various categories of anti-diabetic medications prescribed, the predominant class and type of anti-diabetic medications prescribed, and the proportion of anti-diabetic medications prescribed from the essential drug lists.

RESULTS

The age distribution demonstrated that 52.0% of participants were above 60 years old, showcasing a substantial elderly representation. Gender distribution emphasized a male predominance at 65.0%, highlighting potential gender-specific implications in type II diabetes. The blood profile analysis of patients with T2DM revealed a range of values for key parameters. Fasting blood glucose levels ranged from a minimum of 101 mg/dL to a maximum of 359 mg/dL, with a mean of 180.01 mg/dl. The comprehensive analysis of anti-diabetic drug utilization, based on the total number of units prescribed, sheds light on the diverse treatment approaches employed for managing diabetes mellitus (DM). Insulin, comprising 31.3% of the total units, plays a pivotal role in glycemic control, with both regular and biphasic formulations contributing significantly at 26.3% and 9.3%, respectively. Among the 300 patients, the overall utilization of anti-diabetic drugs reveals that 38.7% of individuals are using a combination of insulin with oral anti-diabetic drugs, while 61.3% are relying on oral anti-diabetic drugs alone. The most frequently prescribed drug combinations for diabetes management include sulphonylurea with biguanides, emerging as the most prevalent combination with 22 occurrences.

CONCLUSION

The study's findings contribute valuable insights into the socio-demographic profiles and anti-diabetic drug utilization patterns among diabetes patients.

Initiation of the pharmacist-delivered antidiabetic medication therapy management services in a tertiary care hospital in Nepal

The medication therapy management (MTM) pharmacists follow the philosophy of pharmaceutical care to address individualistic medication therapy requirements in their practice settings.The present study aimed to introduce the pharmacist-delivered MTM services among type 2 diabetes mellitus patients at a tertiary care hospital in Nepal.Cross-sectional study was conducted at Patan Hospital, Lalitpur, Nepal, among 200 patients with type 2 diabetes mellitus from July to December 2019. The intervention included maintenance of medication profile for individual patients, and then MTM service was proposed based on 5 core elements of MTM services proposed by the American Pharmacists Association. Both antidiabetic and non-antidiabetic medicines were coded as per the anatomic, therapeutic, and chemical classification and defined daily dose assignment 2020 for documentation. The Charlson Comorbidity Index was used to index comorbidities. The drug interaction profile was checked with the Medscape Drug Interaction Checker.Both fasting and postprandial blood sugar levels were significantly associated with age (P-values <.000 for both), baseline symptom (P-values .012 and .003 respectively), and diet plan proposed (P-values .049 and .011 respectively). Maximum cases of drug interactions requiring close monitoring were between metformin and insulin regular (i.e., 11, 5.5%).This was a novel initiative of the MTM services in a resource constraint country like Nepal and can show a clue for the pharmacists targeting such services in other similar settings.

REAL-world evidence of risk factors and comorbidities in YOUNG Indian adults with type 2 diabetes mellitus: A REAL YOUNG (diabetes) study

Objective

To assess the clinical characteristics, risk factors, and comorbidities associated with type 2 diabetes mellitus (T2DM) in young adult patients.

Methods

This is a retrospective, multicentric real-world study that included young adults (18-45 years) with T2DM. Primary information including demographics, medical and family history, biochemical measures (pre-and post-prandial blood glucose levels, glycosylated hemoglobin [HbA1c] and blood pressure, and lipid parameters) smoking and drinking habits were collected retrospectively from the medical records of the respective hospitals/clinics. Data were analyzed using descriptive and appropriate comparative statistics.

Results

A total of 22,921 patients from 623 sites were included. The median age was 37.0 years and the majority were men (61.6%). The proportion of patients from the age group >35-≤45 years was 62.7%. Among all patients, 46.9% had only T2DM; however, 53.1% of patients had T2DM with other comorbidities (T2DM with hypertension, dyslipidemia, and both). The majority of patients had elevated body mass index (BMI) (overweight, 46.6%; and obese, 22.9%). Family history of T2DM (68.1%) was most common in overall population. Sedentary lifestyle (63.1%), alcohol consumption (38.9%), and regular smoking (23.1%) were the most common associations in patients with T2DM with dyslipidemia and hypertension. Uncontrolled HbA1c level (≥7%) were observed in 79.2% of patients. The level of HbA1c was significantly increased with the duration of T2DM and sedentary lifestyle (p < 0.001).

Conclusion

Higher BMI, family history of T2DM, sedentary lifestyle, alcohol consumption, and smoking were the most common risk facors, while hypertension and dyslipidemia were the most prevalent comorbidities associated with T2DM in young Indian adults.

Assessment of quality of life in type 2 diabetes mellitus patients using World Health Organization quality of life-BREF questionnaire and appraisal of diabetes scale - a cross-sectional study

Diabetes is a chronic metabolic disorder that disturbs the quality of life (QOL) of patients. Therefore, evaluation of diabetes- related QOL could be a key outcome measure for its management. This study assessed the QOL in type 2 diabetes mellitus (T2DM) patients using the World Health Organization (WHO) quality of life (QOL)˗BREF questionnaire and disease-specific appraisal of diabetes scale (ADS). In this cross-sectional study, 520 T2DM patients were included. Patients’ demographic data, clinical information was collected through interviews, and the WHOQOL-BREF instrument and ADS were used for the QOL of patients. Statistical analysis was performed by using R software (Version 3.6.0). The mean ADS scores were lower in controlled diabetic subjects (18.50±3.08) and higher in uncontrolled diabetic subjects (19.29±2.73) (P<0.05). For WHOQOL-BREF, the mean scores for all the domains (overall general health, physical, psychological, social, and environmental) were significantly higher in controlled diabetic subjects (P<0.001). In addition, the age, duration of diabetes, associated comorbidities, treatment, and HbA1c level of patients showed a highly significant correlation with WHOQOL-BREF (P<0.001). Diabetic patients had poor-to-average QOL. Therefore, public health measures and education of diabetic patients are essential to create more awareness for improving the QOL of T2DM.

Association Between Serum B12 and Serum Homocysteine Levels in Diabetic Patients on Metformin

INTRODUCTION

Type-2 Diabetes Mellitus (T2DM) and metformin both can lower serum B12 (s.B12). Raised serum Homocysteine (s.Hcy) is considered as an early marker of B12 deficiency.

AIM

The study aimed to check whether homocysteine levels are more sensitive indicator of s. B12 deficiency or not among diabetics using metformin.

MATERIALS AND METHODS

Mean s.B12 and s.Hcy levels of 30 cases (diabetics on metformin <5years) were compared with 30 diabetic controls not on metformin and 31 nondiabetic controls and statistically analysed by ANOVA and post-hoc tests.

RESULTS

No significant differences in either s.B12 mean or s.Hcy mean were found between cases and diabetic controls. s.B12 mean did not differ significantly but s.Hcy mean was significantly higher among nondiabetics as compared to diabetic control. s. B12 level of Nondiabetic group was in borderline category while mean s. B12 levels of cases and diabetic control groups was in normal category but nearer to the lower cut off. Mean s.Hcy values in all the groups were high. Pearson correlation showed strong association between s.B12 and s.Hcy in all the groups. Additionally equation based on linear regression was derived to calculate either of the s.B12 or s.Hcy. On Receiver Operative Characteristic (ROC) curve, area under curve value was 0.842 for the value of s.Hcy.

CONCLUSION

In this study neither metformin nor T2DM could be identified as a cause for s.B12 lowering and raised s.Hcy in the scenario of low normal levels of s.B12 (<300pmol/L). If B12 deficiency recognized early using s. Hcy, consequences due to B12 deficiency can be prevented or delayed among nondiabetics as well as among diabetics and metformin users.

A revisit to prevailing care and challenges of managing diabetes in India: Focus on regional disparities

An unprecedented rise in diabetes mellitus (DM) prevalence in India is the outcome of lifestyle changes in the background of genetic predisposition. Moreover, there are substantial regional variations in diabetes prevalence and management. The highest prevalence of DM was observed in southern region (Ernakulum, Kerala) and lowest prevalence was observed in North Eastern region (Manipur). Similarly large variations have been evident in overall awareness and diabetes care across the geographies within India. The regional challenges are largely affected by poor disease awareness, socioeconomic disparity and underutilization of the public health-care services. Though government has taken initiatives to address this issue, overall situation demands a collaborative effort from patients, health care professionals and the state. An exhaustive literature search was performed for articles and studies published on electronic databases. Present article assesses the regional disparity of diabetes epidemiology, current management practices and government policies for T2DM in India, identifies policy and research gaps, and suggests corrective measures to address the lacunae in diabetes care.

Factors associated with consumption of diabetic diet among type 2 diabetic subjects from Ahmedabad, Western India

This cross-sectional study assessed the current situation of and factors associated with consumption of diabetic diet among 399 type 2 diabetes mellitus (T2DM) subjects from Ahmedabad, Western India. The study was performed with diagnosed (at least one year old) diabetic subjects who attended the Department of Diabetology, All India Institute of Diabetes and Research and Yash Diabetes Specialties Centre (Swasthya Hospital), Ahmedabad during July 2010-November 2010. The subjects completed an interviewer-administered questionnaire. The questionnaire included variables, such as sociodemographic factors, family history of diabetes, behavioural profile, risk profile (glycaemic status, hypertension, and obesity), and diet-related history (consumption of diabetic diet, consumption of low fat/skimmed milk, method of cooking, and sources for diet advice). Blood pressure, body mass index, glycosylated haemoglobin (HbA1c) level, and fasting lipid profile were measured. All analyses including multivariate logistic regression were conducted using SPSS, version 11.5. In total, 399 T2DM subjects (65% male, 35% female) with mean age of 53.16 +/- 7.95 years were studied. Although 73% of T2DM subjects were consuming diabetic diet, the good glycaemic control (HbA1c level < 7%) was achieved only in 35% of the subjects. The majority (75%) of the subjects had a positive family history of diabetes, and 52% were obese. In 77%, the main source of dietary advice was doctor. In 36%, the main methods of cooking were: boiling and roasting. The final multivariate model showed that visit to dietician, level of education, intake of low fat, and family history of diabetes were independent predictors for diabetic diet consumption among T2DM subjects. However, longitudinal and cohort studies are required to establish the association between consumption of diabetic diet and glycaemic control.