Temporal trends in intensification of glucose-lowering therapy for type 2 diabetes in Italy: Data from the AMD Annals initiative and their impact on clinical inertia

Temporal trends in the starting of insulin therapy in type 2 diabetes in Italy: data from the AMD Annals initiative

AIMS

Opportunities and needs for starting insulin therapy in Type 2 diabetes (T2D) have changed overtime. We evaluated clinical characteristics of T2D subjects undergoing the first insulin prescription during a 15-year-observation period in the large cohort of the AMD Annals Initiative in Italy.

METHODS

Data on clinical and laboratory variables, complications and concomitant therapies and the effects on glucose control after 12 months were evaluated in T2D patients starting basal insulin as add-on to oral/non-insulin injectable agents, and in those starting fast-acting in add-on to basal insulin therapy in three 5-year periods (2005-2019).

RESULTS

We evaluated data from 171.688 T2D subjects who intensified therapy with basal insulin and 137.225 T2D patients who started fast-acting insulin. Overall, intensification with insulin occurred progressively earlier over time in subjects with shorter disease duration. Moreover, the percentage of subjects with HbA1c levels > 8% at the time of basal insulin initiation progressively decreased. The same trend was observed for fast-acting formulations. Clinical characteristics of subjects starting insulin did not change in the three study-periods, although all major risk factors improved overtime. After 12 months from the starting of basal or fast-acting insulin therapy, mean HbA1c levels decreased in all the three investigated time-periods, although mean HbA1c levels remained above the recommended target.

CONCLUSIONS

In this large cohort of T2D subjects, a progressively earlier start of insulin treatment was observed during a long observation period, suggesting a more proactive prescriptive approach. However, after 12 months from insulin prescription, in many patients, HbA1c levels were still out-of-target.

Use of IDegLira to Intensify, Simplify, and Increase Appropriateness of Type 2 Diabetes Therapy: A Real-Life Experience

INTRODUCTION

Fixed ratio combination of insulin degludec and liraglutide (IDegLira) represents an option to revise inappropriate therapies in patients with poorly controlled type 2 diabetes. This study aimed to assess the pattern of use and 1-year effectiveness of IDegLira.

METHODS

A retrospective chart review was performed to assess changes in glycated hemoglobin (HbA1c) (primary endpoint), fasting blood glucose (FBG), body weight, estimated glomerular filtration rate (eGFR), and lipid profile following IDegLira initiation. Previous versus concomitant diabetes treatments were also compared.

RESULTS

Overall, 87 patients (mean age 73.9 ± 9.2 years, diabetes duration 18.2 ± 6.7 years, 62.1% men, HbA1c 8.3 ± 1.3%, BMI 30.4 ± 5.5 kg/m2) initiated IDegLira. Previously, 21.8% of patients were treated with oral hypoglycemic agents (OHA group), 47.1% with basal insulin ± OHA (BOT group), 5.8% with GLP-1 RA ± basal insulin (GLP1-RA group), and 25.3% with basal-bolus schemes (BB group). At the first prescription of IDegLira, secretagogues and schemes including two or more OHA were substantially reduced, leaving metformin as the most prevalent OHA (81.6%) used in combination with IDegLira. Starting dose of IDegLira ranged from 18.7 ± 3.1 U (OHA group) to 24.1 ± 4.4 U (BB group). After 1 year, HbA1c was significantly reduced by 1.25% (95% CI - 1.48; - 1.03), FBG by 52.9 mg/dl, and body weight by 2.0 kg. Also, eGFR levels and lipid profile significantly improved. No severe hypoglycemia occurred.

CONCLUSION

It is possible to proactively review suboptimal or inappropriate diabetes treatment according to the most recent guidelines. Results suggest that initiation of IDegLira was associated with a reduction in drugs to be administered daily and relevant improvements in clinical outcomes.

Prescribing trends of glucose-lowering drugs in older adults from 2010 to 2021: a population-based study of Northern Italy

AIMS

To describe glucose-lowering drugs prescribing pattern in a large population of older diabetics from 2010 to 2021.

METHODS

Using linkable administrative health databases, we included patients aged 65-90 years treated with glucose-lowering drugs. Prevalence rate of drugs was collected within each study year. A stratified analysis by gender, age and coexistence of cardiovascular disease (CVD) was conducted.

RESULTS

A total of 251 737 and 308 372 patients were identified in 2010 and 2021, respectively. Use of metformin (68.4% to 76.6%), DPP-4i (1.6% to 18.4%), GLP-1-RA (0.4% to 10.2%), SGLT2i (0.6% to 11.1%) increased, while sulfonylureas (53.6% to 20.7%) and glinides (10.5% to 3.5%) decreased over time. Metformin, glitazones, GLP1-RA, SGLT2i and DPP4i (except for 2021) usage decreased with aging, in contrast to sulfonylureas, glinides and insulin. The coexistence of CVD was associated with a higher prescription of glinides, insulin, DPP-4i, GLP1-RA and SGLT2i, particularly in 2021.

CONCLUSIONS

We found a significant increase in the prescriptions of GLP-1 RA and SGLT2i in older diabetics, mainly in those with CVD. However, drugs without CV benefits including sulfonylureas and DPP-4i continued to be highly prescribed in older patients. There is still room to improve the management in this population according to recommendations.

The AMD ANNALS: A continuous initiative for the improvement of type 2 diabetes care

AIMS

Since 2006, the Italian AMD (Associations of Medical Diabetologists) Annals Initiative promoted a continuous monitoring of the quality of diabetes care, that was effective in improving process, treatment and outcome indicators through a periodic assessment of standardized measures. Here, we show the 2022 AMD Annals data on type 2 diabetes (T2D).

METHODS

A network involving ∼1/3 of diabetes centers in Italy periodically extracts anonymous data from electronic clinical records, by a standardized software. Process, treatment and outcome indicators, and a validated score of overall care, the Q-score, were evaluated.

RESULTS

295 centers provided the annual sample of 502,747 T2D patients. Overall, HbA1c value ≤7.0% was documented in 54.6% of patients, blood pressure <130/80 mmHg in 23.0%, and LDL-cholesterol levels <70 mg/dl in 34.3%, but only 5.2% were at- target for all the risk factors. As for innovative drugs, 29.0% of patients were on SGLT2-i, and 27.5% on GLP1-RAs. In particular, 59.7% were treated with either GLP1-RAs or SGLT2-i among those with established cardiovascular disease (CVD), 26.6% and 49.3% with SGLT2-i among those with impaired renal function and heart failure, respectively. Notably, only 3.2% of T2D patients showed a Q score <15, which correlates with a 80% higher risk of incident CVD events compared to scores >25.

CONCLUSIONS

The 2022 AMD Annals data show an improvement in the use of innovative drugs and in the overall quality of T2D care in everyday clinical practice. However, additional efforts are needed to reach the recommended targets for HbA1c and major CVD risk factors.

Time to Treatment Intensification to Reduce Diabetes-Related Complications: A Post Hoc Study

Patients with type 2 diabetes mellitus (T2DM) can be affected by clinical inertia, leading to abysmal results. Studies on a suitable timeframe for treatment intensification remain scarce—especially outside of developed countries. This study aimed to explore the association between time to treatment intensification and diabetes-related complications. A database from a tertiary care hospital in Thailand was retrieved in order to conduct a retrospective cohort study for the years 2011–2017. This study comprised outpatients with T2DM presenting an HbA1c of ≥7.0%. Eligible patients were divided into three groups based on the time of treatment intensification: no delayed treatment intensification, treatment intensification within 6 months, and treatment intensification after 6 months. A Cox proportional hazards model was used to investigate the association between time to treatment intensification and diabetes-related complications. A total of 686 patients were included in the final analysis. During 6.5 years of median follow-up, the group with treatment intensification within 6 months was more strongly associated with diabetic nephropathy compared to the group with no delayed treatment intensification (adjusted HR 2.35; 95%CI 1.35–4.09). Our findings reveal that delaying treatment intensification by even 6 months can increase the likelihood of diabetic nephropathy compared to no delayed treatment intensification. We suggest that patients with T2DM whose blood glucose levels are outside the target range promptly receive treatment intensification.

Prediction of complications of type 2 Diabetes: A Machine learning approach

AIM

To construct predictive models of diabetes complications (DCs) by big data machine learning, based on electronic medical records.

METHODS

Six groups of DCs were considered: eye complications, cardiovascular, cerebrovascular, and peripheral vascular disease, nephropathy, diabetic neuropathy. A supervised, tree-based learning approach (XGBoost) was used to predict the onset of each complication within 5 years (task 1). Furthermore, a separate prediction for early (within 2 years) and late (3-5 years) onset of complication (task 2) was performed. A dataset of 147.664 patients seen during 15 years by 23 centers was used. External validation was performed in five additional centers. Models were evaluated by considering accuracy, sensitivity, specificity, and area under the ROC curve (AUC).

RESULTS

For all DCs considered, the predictive models in task 1 showed an accuracy > 70 %, and AUC largely exceeded 0.80, reaching 0.97 for nephropathy. For task 2, all predictive models showed an accuracy > 70 % and an AUC > 0.85. Sensitivity in predicting the early occurrence of the complication ranged between 83.2 % (peripheral vascular disease) and 88.5 % (nephropathy).

CONCLUSIONS

Machine learning approach offers the opportunity to identify patients at greater risk of complications. This can help overcoming clinical inertia and improving the quality of diabetes care.