Long-term Effects of a Collaborative Care Model on Metabolic Outcomes and Depressive Symptoms: 36-Month Outcomes from the INDEPENDENT Intervention.

BACKGROUND: Collaborative care (CC) is a multicomponent team-based approach to providing mental health care with systematic integration into outpatient medical settings. The 12-month INDEPENDENT CC intervention improved joint disease control measures in patients with both depression and diabetes at 12 and 24 months following randomization. OBJECTIVE: This study investigated the durability of intervention effects on patient outcomes at 36 months following randomization. PARTICIPANTS: Adult patients with poorly controlled T2D and depression in India randomized to CC or usual care. DESIGN: Post hoc analyses of between-group differences in patient outcomes at 36 months post-randomization (N = 331) and maintenance of outcomes from 12 to 36 months (N = 314). MAIN MEASURES: We evaluated combined risk factor improvement since baseline, defined as ≥ 50.0% reduction in Symptom Checklist Depression Scale (SCL-20) scores along with reduction of at least 0.5 percentage point hemoglobin A1C, 5 mmHg systolic blood pressure, or 10 mg/dL low-density lipoprotein cholesterol. Improvements in single risk factors were also examined. KEY RESULTS: There were no between-group differences in improvements since baseline in multiple or single risk factors at 36 months. Patients in the CC group with improved outcomes at 12 months were more likely to maintain a ≥ 50.0% reduction since baseline in SCL-20 scores (CC [54.9%] vs. UC [40.9%]; RR: 1.27 [95% CI: 1.04, 1.56]) and 0.5 percentage point reduction since baseline in hemoglobin A1C (CC [31.9%] vs. UC [19.5%]; RR: 1.64 [95% CI: 1.11, 2.41]) at 36 months. CONCLUSIONS: While improvements since baseline in patient outcomes did not differ between the collaborative care and usual care groups at 36 months, patients who received CC were more likely to maintain improvements in depressive symptoms and glucose levels at 36 months if they had achieved these improvements at the end of active intervention. TRIAL REGISTRATION NUMBER: NCT02022111.

Cost-Effectiveness of a Collaborative Care Model Among Patients With Type 2 Diabetes and Depression in India.

OBJECTIVE: To assess the cost-effectiveness of collaborative versus usual care in adults with poorly controlled type 2 diabetes and depression in India. RESEARCH DESIGN AND METHODS: We performed a within-trial cost-effectiveness analysis of a 24-month parallel, open-label, pragmatic randomized clinical trial at four urban clinics in India from multipayer and societal perspectives. The trial randomly assigned 404 patients with poorly controlled type 2 diabetes (HbA1c ≥8.0%, systolic blood pressure ≥140 mmHg, or LDL cholesterol ≥130 mg/dL) and depressive symptoms (9-item Patient Health Questionnaire score ≥10) to collaborative care (support from nonphysician care coordinators, electronic registers, and specialist-supported case review) for 12 months, followed by 12 months of usual care or 24 months of usual care. We calculated incremental cost-effectiveness ratios (ICERs) in Indian rupees (INR) and international dollars (Int'l-$) and the probability of cost-effectiveness using quality-adjusted life-years (QALYs) and depression-free days (DFDs). RESULTS: From a multipayer perspective, collaborative care costed an additional INR309,558 (Int'l-$15,344) per QALY and an additional INR290.2 (Int'l-$14.4) per DFD gained compared with usual care. The probability of cost-effectiveness was 56.4% using a willingness to pay of INR336,000 (Int'l-$16,654) per QALY (approximately three times per-capita gross domestic product). The willingness to pay per DFD to achieve a probability of cost-effectiveness >95% was INR401.6 (Int'l-$19.9). From a societal perspective, cost-effectiveness was marginally lower. In sensitivity analyses, integrating collaborative care in clinical workflows reduced incremental costs by ∼47% (ICER 162,689 per QALY, cost-effectiveness probability 89.4%), but cost-effectiveness decreased when adjusting for baseline values. CONCLUSIONS: Collaborative care for patients with type 2 diabetes and depression in urban India can be cost-effective, especially when integrated in clinical workflows. Long-term cost-effectiveness might be more favorable. Scalability across lower- and middle-income country settings depends on heterogeneous contextual factors.

Prescribing Patterns and Response to Antihyperglycemic Agents Among Novel Clusters of Type 2 Diabetes in Asian Indians.

Aim: To assess the prescribing patterns and response to different classes of antihyperglycemic agents in novel clusters of type 2 diabetes (T2D) described in India. Materials and Methods: We attempted to replicate the earlier described clusters of T2D, in 32,867 individuals with new-onset T2D (within 2 years of diagnosis) registered between October 2013 and December 2020 at 15 diabetes clinics located across India, by means of k-means clustering utilizing 6 clinically relevant variables. Individuals who had follow-up glycated hemoglobin (HbA1c) up to 2 years were included for the drug response analysis (n = 13,247). Results: Among the 32,867 participants included in the study, 20,779 (63.2%) were males. The average age at diagnosis was 45 years and mean HbA1c at baseline was 8.9%. The same four clusters described in India earlier were replicated. Forty percent of the study participants belonged to the mild age-related diabetes cluster, followed by insulin-resistant obese diabetes (27%), severe insulin-deficient diabetes (21%), and combined insulin-resistant and insulin-deficient diabetes (12%) clusters. The most frequently used antihyperglycemic agents were sulfonylureas, metformin, and dipeptidyl peptidase-4 inhibitors apart from insulin. While there were significant differences in HbA1c reduction between drugs across clusters, these were largely driven by differences in the baseline (pretreatment) HbA1c. Conclusions: In this new cohort, we were able to reliably replicate the four subtypes of T2D earlier described in Asian Indians. Prescribing patterns show limited usage of newer antihyperglycemic agents across all clusters. Randomized clinical trials are required to establish differential drug responses between clusters.

Insulinization in T2DM with Basal Analogues During COVID-19 Pandemic: Expert Opinion from an Indian Panel.

The ongoing global pandemic of the coronavirus disease 2019 (COVID-19) has placed a severe strain on the management of chronic conditions like diabetes. Optimal glycemic control is always important, but more so in the existing environment of COVID-19. In this context, timely insulinization to achieve optimal glycemic control assumes major significance. However, given the challenges associated with the pandemic like restrictions of movement and access to healthcare resources, a simple and easy way to initiate and optimize insulin therapy in people with uncontrolled diabetes is required. With this premise, a group of clinical experts comprising diabetologists and endocrinologists from India discussed the challenges and potential solutions for insulin initiation, titration, and optimization in type 2 diabetes mellitus (T2DM) during the COVID-19 pandemic and how basal insulin can be a good option in this situation owing to its unique set of advantages like lower risk of hypoglycemia, ease of training, need for less monitoring, better adherence, flexibility of using oral antidiabetic drugs, and improved quality of life compared to other insulin regimens. The panel agreed that the existing challenges should not be a reason to delay insulin initiation in people with uncontrolled T2DM and provided recommendations, which included potential solutions for initiating insulin in the absence or restriction of in-person consultations; the dose of insulin at initiation; the type of insulin preferred for simplified regimen and best practices for optimal titration to achieve glycemic targets during the pandemic. Practical and easily implementable tips for patients and involvement of stakeholders (caregivers and healthcare providers) to facilitate insulin acceptance were also outlined by the expert panel. Simplified and convenient insulin regimens like basal insulin analogues are advised during and following the pandemic in order to achieve glycemic control in people with uncontrolled T2DM.

Effect of a Collaborative Care Model on Depressive Symptoms and Glycated Hemoglobin, Blood Pressure, and Serum Cholesterol Among Patients With Depression and Diabetes in India: The INDEPENDENT Randomized Clinical Trial.

Importance: Mental health comorbidities are increasing worldwide and worsen outcomes for people with diabetes, especially when care is fragmented. Objective: To assess whether collaborative care vs usual care lowers depressive symptoms and improves cardiometabolic indices among adults with diabetes and depression. Design, Setting, and Participants: Parallel, open-label, pragmatic randomized clinical trial conducted at 4 socioeconomically diverse clinics in India that recruited patients with type 2 diabetes; a Patient Health Questionnaire-9 score of at least 10 (range, 0-27); and hemoglobin A1c (HbA1c) of at least 8%, systolic blood pressure (SBP) of at least 140 mm Hg, or low-density lipoprotein (LDL) cholesterol of at least 130 mg/dL. The first patient was enrolled on March 9, 2015, and the last was enrolled on May 31, 2016; the final follow-up visit was July 14, 2018. Interventions: Patients randomized to the intervention group (n = 196) received 12 months of self-management support from nonphysician care coordinators, decision support electronic health records facilitating physician treatment adjustments, and specialist case reviews; they were followed up for an additional 12 months without intervention. Patients in the control group (n = 208) received usual care over 24 months. Main Outcomes and Measures: The primary outcome was the between-group difference in the percentage of patients at 24 months who had at least a 50% reduction in Symptom Checklist Depression Scale (SCL-20) scores (range, 0-4; higher scores indicate worse symptoms) and a reduction of at least 0.5 percentage points in HbA1c, 5 mm Hg in SBP, or 10 mg/dL in LDL cholesterol. Prespecified secondary outcomes were percentage of patients at 12 and 24 months who met treatment targets (HbA1c <7.0%, SBP <130 mm Hg, LDL cholesterol <100 mg/dL [<70 mg/dL if prior cardiovascular disease]) or had improvements in individual outcomes (≥50% reduction in SCL-20 score, ≥0.5-percentage point reduction in HbA1c, ≥5-mm Hg reduction in SBP, ≥10-mg/dL reduction in LDL cholesterol); percentage of patients who met all HbA1c, SBP, and LDL cholesterol targets; and mean reductions in SCL-20 score, Patient Health Questionnaire-9 score, HbA1c, SBP, and LDL cholesterol. Results: Among 404 patients randomized (mean [SD] age, 53 [8.6] years; 165 [40.8%] men), 378 (93.5%) completed the trial. A significantly greater percentage of patients in the intervention group vs the usual care group met the primary outcome (71.6% vs 57.4%; risk difference, 16.9% [95% CI, 8.5%-25.2%]). Of 16 prespecified secondary outcomes, there were no statistically significant between-group differences in improvements in 10 outcomes at 12 months and in 13 outcomes at 24 months. Serious adverse events in the intervention and usual care groups included cardiovascular events or hospitalizations (4 [2.0%] vs 7 [3.4%]), stroke (0 vs 3 [1.4%]), death (2 [1.0%] vs 7 [3.4%]), and severe hypoglycemia (8 [4.1%] vs 0). Conclusions and Relevance: Among patients with diabetes and depression in India, a 12-month collaborative care intervention, compared with usual care, resulted in statistically significant improvements in a composite measure of depressive symptoms and cardiometabolic indices at 24 months. Further research is needed to understand the generalizability of the findings to other low- and middle-income health care settings. Trial Registration: ClinicalTrials.gov Identifier: NCT02022111.

Medios- An offline, smartphone-based artificial intelligence algorithm for the diagnosis of diabetic retinopathy.

Purpose: An observational study to assess the sensitivity and specificity of the Medios smartphone-based offline deep learning artificial intelligence (AI) software to detect diabetic retinopathy (DR) compared with the image diagnosis of ophthalmologists. Methods: Patients attending the outpatient services of a tertiary center for diabetes care underwent 3-field dilated retinal imaging using the Remidio NM FOP 10. Two fellowship-trained vitreoretinal specialists separately graded anonymized images and a patient-level diagnosis was reached based on grading of the worse eye. The images were subjected to offline grading using the Medios integrated AI-based software on the same smartphone used to acquire images. The sensitivity and specificity of the AI in detecting referable DR (moderate non-proliferative DR (NPDR) or worse disease) was compared to the gold standard diagnosis of the retina specialists. Results: Results include analysis of images from 297 patients of which 176 (59.2%) had no DR, 35 (11.7%) had mild NPDR, 41 (13.8%) had moderate NPDR, and 33 (11.1%) had severe NPDR. In addition, 12 (4%) patients had PDR and 36 (20.4%) had macular edema. Sensitivity and specificity of the AI in detecting referable DR was 98.84% (95% confidence interval [CI], 97.62-100%) and 86.73% (95% CI, 82.87-90.59%), respectively. The area under the curve was 0.92. The sensitivity for vision-threatening DR (VTDR) was 100%. Conclusion: The AI-based software had high sensitivity and specificity in detecting referable DR. Integration with the smartphone-based fundus camera with offline image grading has the potential for widespread applications in resource-poor settings.

A 52-week extension study of switching from gemigliptin vs sitagliptin to gemigliptin only as add-on therapy for patients with type 2 diabetes who are inadequately controlled with metformin alone.

We investigated the long-term efficacy and safety of gemigliptin and the efficacy and safety of gemigliptin treatment after once-daily treatment with sitagliptin 100 mg, in patients with type 2 diabetes. This was a 28-week extension of a 24-week, randomized, double-blind, parallel study of gemigliptin or sitagliptin added to ongoing metformin therapy. After randomization to sitagliptin 100 mg qd (S), gemigliptin 25 mg bid (G1) or gemigliptin 50 mg qd (G2) and after completing 24 weeks of treatment, 118 patients switched from gemigliptin 25 mg bid to 50 mg qd (G1/G2), 111 patients continued gemigliptin 50 mg qd (G2/G2) and 106 patients switched from sitagliptin 100 mg qd to gemigliptin 50 mg qd (S/G2). All 3 treatments reduced glycated haemoglobin (HbA1c) (S/G2,-0.99% [95% CI -1.25%, -0.73%]; G1/G2, -1.11% [95% CI -1.33%, -0.89%]; G2/G2, -1.06% [95% CI -1.28%, -0.85%]). The percentage of patients achieving HbA1c < 6.5% was 27.6% in the G1/G2 group at both Week 24 and Week 52, and ranged from 27.3% to 32.7% in the G2/G2 group (difference in proportions, 5% [95% CI -6%, 17%]), while it increased from 6.8% to 27.3% from Week 24 to Week 52 in the S/G2 group (difference in proportions, 20% [95% CI 7%, 34%]). Addition of gemigliptin 50 mg qd to metformin was shown to be efficacious for 52 weeks. Switching from sitagliptin 100 mg to gemigliptin 50 mg showed consistent glyacemic control over the previous treatment.

A Prospective Analysis of the Efficacy and Safety of Sodium Glucose Cotransporter 2 Inhibitors: Real World Evidence from Clinical Practice in India.

BACKGROUND AND AIM: The number of patients with type 2 diabetes (T2DM) is increasing. Most patients with T2DM are uncontrolled and fail to achieve their target Hba1c. In recent years, newer agents such as SGLT2 inhibitors (SGLT2i) have been approved for clinical use. Though data from clinical trials and sub set analysis of Indian patients in global studies are promising, real world evidence from standard clinical practice in India is lacking. The aim of this study was to analyze the metabolic parameters in patients with T2DM on SGLT2i in real world clinical practice. MATERIAL AND METHODS: This was a prospective, longitudinal study of 100 patients with uncontrolled T2DM attending the outpatient of a specialized diabetes hospital. Their metabolic parameters were evaluated at baseline and after 3 months of follow up. They were categorized based on their baseline anti diabetic medications into four groups (25 in each).The groups were as follows: metformin plus sulfonylurea, metformin plus DPP4 inhibitor, triple drug regimen with metformin plus DPP4 inhibitor plus sulfonylurea, and patients on insulin and on triple drug therapy with metformin plus sulfonylurea plus DPP4 inhibitor. Patients in each group were initiated with an SGLT2i. Descriptive statistical analysis was carried out using Microsoft excel. T test was used to calculate the p value at 5 % level of significance. RESULTS: The mean age of the subjects in the study population was 53.20±12.1 years and the duration of diabetes was 13.1±7.26 years. The mean Hba1c reduction and weight reduction observed was 1.02±0.24% and 2.64±1.27 kg respectively. Genital pruritis was reported in 4% of the patients. There was a 16.6% reduction in the daily insulin requirement at follow up when compared to baseline. No other side effects were observed. The reductions in Hba1c and weight were statistically significant (p<0.05) across all groups. CONCLUSIONS: This study demonstrates that when SGLT2i are added at any stage of the disease spectrum with any of the preexisting therapeutic agents for patients with uncontrolled T2DM, there is an improvement in glycemic control and body weight, with minimal side effects. The real world study data on Indian patients appears to be promising.

Cardiovascular risk factors, micro and macrovascular complications at diagnosis in patients with young onset type 2 diabetes in India: CINDI 2.

CONTEXT: Type 2 diabetes mellitus (T2DM) in young adults is increasing in India. Data on the prevalence of cardiovascular (CV) risk factors and complications associated with young-onset T2DM (YOD) at the time of diagnosis of diabetes are limited. This data can aid in aggressive diabetes management, CV risk reduction, and prevention of complications. AIM: To determine the prevalence of CV risk factors, micro and macrovascular complications in patients with newly diagnosed YOD. To assess the percentage of patients who require statin therapy based on current American Diabetes Association (ADA) guidelines. SETTINGS AND DESIGN: This was a retrospective cross-sectional study of 1500 patients with newly detected YOD across seven centers from 2013 to 2015. DESIGNS AND METHODS: Patients were evaluated for complications of diabetes and CV risk factors such as body mass index (BMI), hypertension, dyslipidemia, and smoking. STATISTICAL ANALYSIS: Measurements have been presented as mean ± standard deviation; results on categorical measurements have been presented in percentages. RESULTS: The mean age, glycated hemoglobin and BMI were 34.7 ± 4.2 years, 9.9 ± 2.4%, and 26.8 ± 4.7 kg/m(2). Hypertension, dyslipidemia, BMI >23 kg/m(2), and smoking were presented in 27.6%, 62.4%, 84.2%, and 24%. Diabetic retinopathy, neuropathy, and nephropathy were seen in 5.1%, 13.2%, and 0.9%. Ischemic heart disease, peripheral vascular disease, and stroke were presented in 0.7%, 2%, and 0.1%. As per current guidelines, 95.33% needed statin therapy. CONCLUSION: This study demonstrates that patients with YOD have micro and macrovascular complications at diagnosis. Nearly, every patient required a statin to reduce CV risk. This highlights the importance of screening patients with YOD for CV risk factors and complications of diabetes at the time of diagnosis.