Baseline quality-of-care data from a quality-improvement program implemented by a network of diabetes outpatient clinics

Effectiveness of switching from first-generation basal insulin to Glargine 300 U/mL in children and adolescents with type 1 diabetes: results from the ISPED CARD database

AIMS

Glargine 300 U/mL (Gla-300) has been recently approved for use in children and adolescents with type 1 diabetes (T1D). However, real-world effectiveness data are scarce, and aim of this analysis was to assess clinical outcomes in young patients with T1D switching from 1st generation basal insulin (1BI) to Gla-300.

METHODS

ISPED CARD is a retrospective, multicenter study, based on data anonymously extracted from Electronic Medical Records. The study involved a network of 20 pediatric diabetes centers. Data on all patients aged < 18 years with T1D switching from 1BI to Gla-300 were analyzed to assess clinical characteristics at the switch and changes after 6 and 12 months in glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and standardized body mass index (BMI/SDS). Titration of basal and short-acting insulin doses was also evaluated.

RESULTS

Overall, 200 patients were identified. The mean age at the switch to Gla-300 was 13 years, and mean duration of diabetes was 3.9 years. Average HbA1c levels at switch were 8.8%. After 6 months, HbA1c levels decreased by - 0.88% (95% CI - 1.28; - 0.48; p < 0.0001). The benefit was maintained after 12 months from the switch (mean reduction of HbA1c levels - 0.80%, 95% CI - 1.25; - 0.35, p = 0.0006). Trends of reduction in FBG levels were also evidenced both at 6 months and 12 months. No significant changes in short-acting and basal insulin doses were documented.

CONCLUSIONS

The study provides the first real-world evidence of the effectiveness of Gla-300 in children and adolescents with T1D previously treated with 1BI. The benefits in terms of HbA1c levels reduction were substantial, and sustained after 12 months. Additional benefits can be expected by improving the titration of insulin doses.

Continuous improvement of quality of care in pediatric diabetes: the ISPED CARD clinical registry

AIM

In Italy, the ISPED CARD initiative was launched to measure and improve quality of care in children and adolescents with type 1 diabetes.

METHODS

Process and outcome indicators and the related information derived from electronic medical records were identified. A network of pediatric diabetes centers was created on a voluntary basis.

RESULTS

Overall, 20 centers provided data on 3284 patients aged <  = 18 years. HbA1c was monitored ≥ 2/year in 81.2% of the cases. BMI was monitored ≥ 1/year in 99.0%, lipid profile in 45.3%, and blood pressure in 91.7%. Pubertal status, albuminuria, eye examination, and screening of celiac disease and thyroiditis were underreported. From 2017 to 2021, average HbA1c levels decreased from 7.8 ± 1.2 to 7.6 ± 1.3%, while patients with LDL cholesterol > 100 mg/dl increased from 18.9 to 36.7%. Prevalence of patients with elevated blood pressure and BMI/SDS values also increased. In 2021, 44.7% of patients were treated with the newest basal insulins, while use of regular human insulin had dropped to 7.7%. Use of insulin pump remained stable (37.9%).

CONCLUSIONS

This report documents the feasibility of the ISPED CARD initiative and shows lights and shadows in the care provided. Improving care, increasing number of centers, and ameliorating data recording represent future challenges.

Quality of care and clinical inertia in the management of cardiovascular risk factors in patients with type 1 and type 2 diabetes: data from AMD annals

BACKGROUND

Cardiovascular disease is the leading cause of morbidity and mortality among patients with diabetes, and for this reason, all guidelines for CV risk management provide the same targets in controlling traditional CV risk factors in patients with type 1 or type 2 diabetes at equal CV risk class. Aim of our study was to evaluate and compare CV risk management in patients with type 1 and type 2 diabetes included in AMD Annals Database paying particular attention to indicators of clinical inertia.

METHODS

This was a multicenter, observational, retrospective study of AMD Annals Database during year 2022. Patients with diabetes were stratified on the basis of their cardiovascular risk, according to ESC-EASD guidelines. The proportion of patients not treated with lipid-lowering despite LDL cholesterol > to 100 mg/dl or the proportion of patients not treated with antihypertensive drug despite BP > 140/90 mmhg and proportion of patients with proteinuria not treated with angiotensin converting enzyme inhibitors or angiotensinogen receptor blockers (ACE/ARBs) were considered indicators of clinical inertia. The proportion of patients reaching at the same time HbA1c < 7% LDL < 70 mg/dl and BP < 130/80 mmhg were considered to have good multifactorial control. Overall quality of health care was evaluated by the Q-score.

RESULTS

Using the inclusion criteria and stratifying patients by ESC/EASD Cardiovascular Risk categories, we included in the analysis 118.442 patients at High Cardiovascular risk and 416.246 patients at Very High Cardiovascular risk. The proportion of patients with good multifactorial risk factor control was extremely low in both T1D and T2D patients in each risk class. At equal risk class, the patients with T1D had lower proportion of subjects reaching HbA1c, LDL, or Blood Pressure targets. Indicators of clinical inertia were significantly higher compared with patients with T2D at equal risk class. Data regarding patients with albuminuria not treated with RAAS inhibitors were available only for those at Very High risk and showed that the proportion of patients not treated was again significantly higher in patients with T1DM.

CONCLUSIONS

In conclusion, this study provides evidence of wide undertreatment of traditional cardiovascular risk factors among patients with diabetes included in AMD Annals Database. Undertreatment seems to be more pronounced in individuals with T1D compared to those with T2D and is frequently due to clinical inertia.

The Burden of Obesity in Type 1 Diabetic Subjects: A Sex-specific Analysis From the AMD Annals Initiative

OBJECTIVE

Obesity is a growing emergency in type 1 diabetes (T1D). Sex differences in obesity prevalence and its clinical consequences in adult T1D subjects have been poorly investigated. The aim of this study was to investigate the prevalence of obesity and severe obesity, clinical correlates, and potential sex differences in a large cohort of T1D subjects participating to the AMD (Associazione Medici Diabetologi) Annals Initiative in Italy.

RESEARCH DESIGN AND METHODS

The prevalence of obesity [body mass index(BMI) ≥30 kg/m2] and severe obesity (BMI ≥ 35 kg/m2) according to sex and age, as well as obesity-associated clinical variables, long-term diabetes complications, pharmacological treatment, process indicators and outcomes, and overall quality of care (Q-score) were evaluated in 37 436 T1D subjects (45.3% women) attending 282 Italian diabetes clinics during 2019.

RESULTS

Overall, the prevalence of obesity was similar in the 2 sexes (13.0% in men and 13.9% in women; mean age 50 years), and it increased with age, affecting 1 out of 6 subjects ages >65 years. Only severe obesity (BMI >35 kg/m2) was more prevalent among women, who showed a 45% higher risk of severe obesity, compared with men at multivariate analysis. Cardiovascular disease risk factors (lipid profile, glucose, and blood pressure control), and the overall quality of diabetes care were worse in obese subjects, with no major sex-related differences. Also, micro- and macrovascular complications were more frequent among obese than nonobese T1D men and women.

CONCLUSIONS

Obesity is a frequent finding in T1D adult subjects, and it is associated with a higher burden of cardiovascular disease risk factors, micro- and macrovascular complications, and a lower quality of care, with no major sex differences. T1D women are at higher risk of severe obesity.

The legacy effect of hyperglycemia and early use of SGLT-2 inhibitors: a cohort study with newly-diagnosed people with type 2 diabetes

Background

A delay in reaching HbA1c targets in patients with newly-diagnosed type 2 diabetes (T2D) is associated with an increased long-term risk of developing cardiovascular diseases (CVD), a phenomenon referred to as legacy effect. Whether an early introduction of glucose-lowering drugs with proven benefit on CVD can attenuate this phenomenon is unknown.

Methods

Using data derived from a large Italian clinical registry, i.e. the AMD Annals, we identified 251,339 subjects with newly-diagnosed T2D and without CVD at baseline. Through Cox regressions adjusted for multiple risk factors, we examined the association between having a mean HbA1c between 7.1 and 8% or >8%, compared with ≤7%, for various periods of early exposure (0-1, 0-2, 0-3 years) and the development of later (mean subsequent follow-up 4.6 ± 2.9 years) CVD, evaluated as a composite of myocardial infarction, stroke, coronary or peripheral revascularization, and coronary or peripheral bypass. We performed this analysis in the overall cohort and then splitting the population in two groups of patients: those that introduced sodium-glucose transport protein 2 inhibitors (SGLT-2i) during the exposure phase and those not treated with these drugs.

Findings

Considering the whole cohort, subjects with both a mean HbA1c between 7.1 and 8% and >8%, compared with patients attaining a mean HbA1c ≤ 7%, showed an increased risk of developing the outcome in all the three early exposure periods assessed, with the highest risk observed in patients with mean HbA1c > 8% in the 3 years exposure period (hazard ratio [HR]1.33; 95% confidence interval [CI] 1.063-1.365). The introduction of SGLT-2i during the exposure periods of 0-1 and 0-2 years eliminated the association between poor glycemic control and the outcome (p for interaction 0.006 and 0.003, respectively, vs. patients with the same degree of glycemic control but not treated with these drugs).

Interpretation

Among patients with newly diagnosed T2D and free of CVD at baseline, a poor glycemic control in the first three years after diagnosis is associated with an increased subsequent risk of CVD. This association is no longer evident when SGLT-2i are introduced in the first two years, suggesting that these drugs attenuate the phenomenon of legacy effect. An early treatment with these drugs might thus promote a long-lasting benefit in patients not attaining proper glycemic control after T2D diagnosis.

Funding

This work was supported, in part, by the Italian Ministry of Health (Ricerca Corrente) to IRCCS MultiMedica.

Achieving Good Metabolic Control Without Weight Gain with the Systematic Use of GLP-1-RAs and SGLT-2 Inhibitors in Type 2 Diabetes: A Machine-learning Projection Using Data from Clinical Practice

PURPOSE

Recently, the 2022 American Diabetes Association and European Association for the Study of Diabetes (ADA-EASD) consensus report stressed the importance of weight control in the management of patients with type 2 diabetes; weight control should be a primary target of therapy. This retrospective analysis evaluated, through an artificial-intelligence (AI) projection of data from the AMD Annals database-a huge collection of most Italian diabetology medical records covering 15 years (2005-2019)-the potential effects of the extended use of sodium-glucose co-transporter 2 inhibitors (SGLT-2is) and of glucose-like peptide 1 receptor antagonists (GLP-1-RAs) on HbA1c and weight.

METHODS

Data from 4,927,548 visits in 558,097 patients were retrospectively extracted using these exclusion criteria: type 1 diabetes, pregnancy, age >75 years, dialysis, and lack of data on HbA1c or weight. The analysis revealed late prescribing of SGLT-2is and GLP-1-RAs (innovative drugs), and considering a time frame of 4 years (2014-2017), a paradoxic greater percentage of combined-goal (HbA1c <7% and weight gain <2%) achievement was found with older drugs than with innovative drugs, demonstrating aspects of therapeutic inertia. Through a machine-learning AI technique, a "what-if" analysis was performed, using query models of two outcomes: (1) achievement of the combined goal at the visit subsequent to a hypothetical initial prescribing of an SGLT-2i or a GLP-1-RA, with and without insulin, selected according to the 2018 ADA-EASD diabetes recommendations; and (2) persistence of the combined goal for 18 months. The precision values of the two models were, respectively, sensitivity, 71.1 % and 69.8%, and specificity, 67% and 76%.

FINDINGS

The first query of the AI analysis showed a great improvement in achievement of the combined goal: 38.8% with prescribing in clinical practice versus 66.5% with prescribing in the "what-if" simulation. Addressing persistence at 18 months after the initial achievement of the combined goal, the simulation showed a potential better performance of SGLT-2is and GLP-1-RAs with respect to each antidiabetic pharmacologic class or combination considered.

IMPLICATIONS

AI appears potentially useful in the analysis of a great amount of data, such as that derived from the AMD Annals. In the present study, an LLM analysis revealed a great potential improvement in achieving metabolic targets with SGLT-2i and GLP-1-RA utilization. These results underscore the importance of early, timely, and extended use of these new drugs.

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.

Transparent machine learning suggests a key driver in the decision to start insulin therapy in individuals with type 2 diabetes

AIMS

The objective of this study is to establish a predictive model using transparent machine learning (ML) to identify any drivers that characterize therapeutic inertia.

METHODS

Data in the form of both descriptive and dynamic variables collected from electronic records of 1.5 million patients seen at clinics within the Italian Association of Medical Diabetologists between 2005-2019 were analyzed using logic learning machine (LLM), a "clear box" ML technique. Data were subjected to a first stage of modeling to allow ML to automatically select the most relevant factors related to inertia, and then four further modeling steps individuated key variables that discriminated the presence or absence of inertia.

RESULTS

The LLM model revealed a key role for average glycated hemoglobin (HbA1c) threshold values correlated with the presence or absence of insulin therapeutic inertia with an accuracy of 0.79. The model indicated that a patient's dynamic rather than static glycemic profile has a greater effect on therapeutic inertia. Specifically, the difference in HbA1c between two consecutive visits, what we call the HbA1c gap, plays a crucial role. Namely, insulin therapeutic inertia is correlated with an HbA1c gap of <6.6 mmol/mol (0.6%), but not with an HbA1c gap of >11 mmol/mol (1.0%).

CONCLUSIONS

The results reveal, for the first time, the interrelationship between a patient's glycemic trend defined by sequential HbA1c measurements and timely or delayed initiation of insulin therapy. The results further demonstrate that LLM can provide insight in support of evidence-based medicine using real world data.

Role of telemedicine during COVID-19 pandemic in type 2 diabetes outpatients: The AMD annals initiative

AIMS

Telemedicine is advocated as a fundamental tool in modern clinical management. However, data on the effects of telemedicine vs face-to-face consultation on clinical outcomes in type 2 diabetes (T2DM) are still uncertain. This paper describes the use of telemedicine during the 2020 COVID-19 emergency and compares volume activity and quality indicators of diabetes care between face-to-face vs telemedicine counseling in the large cohort of T2DM patients from the AMD Annals Initiative.

METHODS

Demographic and clinical characteristics, including laboratory parameters, rate of the screening of long-term complications, current therapies and the Q-score, a validated score that measures the overall quality of care, were compared between 364,898 patients attending face-to-face consultation and 46,424 on telemedicine, during the COVID-19 pandemic.

RESULTS

Patients on telemedicine showed lower HbA1c levels (7.1 ± 1.2 % vs 7.3 ± 1.3 %, p < 0.0001), and they were less frequently treated with metformin, GLP1-RAs and SGLT2i and more frequently with DPP4i. The telemedicine group showed reduced monitoring of the various parameters considered as process indicators, especially, eye and foot examination. The proportion of patients with a good quality of care (Q score > 25) was higher among those receiving face-to-face consultation. Moreover, in the telemedicine group, all major clinical outcomes remained stable when further compared to those collected in the year 2019, when the same patients underwent a regular face-to-face consultation, suggesting that the care provided through telemedicine did not negatively affect the most important parameters.

CONCLUSIONS

During the COVID-19 pandemic, telemedicine provided an acceptable quality of diabetes care, comparable to that of patients attending face-to-face consultation, although a less frequent screening of complications seems to have occurred in subjects consulted by telemedicine.

A prediction model to assess the risk of egfr loss in patients with type 2 diabetes and preserved kidney function: The amd annals initiative

OBJECTIVE

To develop and validate a model for predicting 5-year eGFR-loss in type 2 diabetes mellitus (T2DM) patients with preserved renal function at baseline.

RESEARCH DESIGN AND METHODS

A cohort of 504.532 T2DM outpatients participating to the Medical Associations of Diabetologists (AMD) Annals Initiative was splitted into the Learning and Validation cohorts, in which the predictive model was respectively developed and validated. A multivariate Cox proportional hazard regression model including all baseline characteristics was performed to identify predictors of eGFR-loss. A weight derived from regression coefficients was assigned to each variable and the overall sum of weights determined the 0 to 8-risk score.

RESULTS

A set of demographic, clinical and laboratory parameters entered the final model. The eGFR-loss score showed a good performance in the Validation cohort. Increasing score values progressively identified a higher risk of GFR loss: a score ≥ 8 was associated with a HR of 13.48 (12.96-14.01) in the Learning and a HR of 13.45 (12.93-13.99) in the Validation cohort. The 5 years-probability of developing the study outcome was 55.9% higher in subjects with a score ≥ 8.

CONCLUSIONS

In the large AMD Annals Initiative cohort, we developed and validated an eGFR-loss prediction model to identify T2DM patients at risk of developing clinically meaningful renal complications within a 5-years time frame.

Design and rationale of DISCOVER global registry in type 2 diabetes: Real-world insights of treatment patterns and its relationship with cardiovascular, renal, and metabolic multimorbidities

AIM

The DISCOVER Global Registry (DGR) aims to provide insights into patient attributes and treatment patterns in patients with type 2 diabetes mellitus (T2DM) seen in clinical practice and understand the patterns and impact of treatment strategies on cardio-renal-metabolic multimorbidities. It aims to augment the real-world evidence base created by the DISCOVER study.

METHODS

The ongoing study is a global, prospective, open-source, physician-led registry and involves non-interventional data collection through cloud-based electronic case report form platform from participants with T2DM receiving care as part of routine clinical practice. The DGR will collect longitudinal prospective data on the following: (a) patient, healthcare provider, and healthcare system characteristics; (b) treatment patterns and factors influencing therapy changes; (c) disease duration and glycemic control; (d) management of micro and/or macrovascular complications; (e) management of associated risk factors; (f) outcomes (hospitalization/death), (g) quality of care indicators (eye/foot examination); (h) healthcare resource utilization; and (i) patient-reported outcomes.

CONCLUSION

Establishment of this long-term, scalable, and sustainable global registry offers opportunities to enhance understanding of care gaps, establish quality benchmarks, and understand the role of various treatment strategies in addressing the multifactorial pathophysiology of T2DM and associated comorbidities- potentially enabling transformation of clinical data into actionable insights for improving patient outcomes.

Clinical profiles and quality of care of adults with type 1 diabetes according to their cardiovascular Risk: A Multicenter, Observational, retrospective study

AIMS

The European Society of Cardiology (ESC) recently defined cardiovascular risk classes for subjects with diabetes. Aim of this study was to explore the distribution of subjects with type 1 diabetes (T1D) by cardiovascular risk groups according to the ESC classification and to describe the quality indicators of care.

METHODS

The study is based on data extracted from electronic medical records of patients treated at the 258 Italian diabetes centers participating in the AMD (Associazione Medici Diabetologi) Annals initiative. Patients with T1D were stratified by cardiovascular risk. Measures of intermediate outcomes, intensity/appropriateness of pharmacological treatment, and overall quality of care were evaluated.

RESULTS

Overall, 29.368 subjects with type 1 diabetes (64.7% at very high cardiovascular risk, 28.5% at high risk and 6.8% at moderate risk) were evaluated. A lack of use of drugs in case of high values and an inadequate control despite the antihypertensive and lipid-lowering treatment was recognized. The overall quality of care tended to be lower as the level of cardiovascular risk increased.

CONCLUSION

A large proportion of subjects with T1D is at high or very high risk. Antihypertensive and lipid-lowering treatment seem not adequately used. Several actions are necessary to improve the quality of care.

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

AIMS

Clinical inertia negatively affects type 2 diabetes (T2DM) management. We evaluated changes in prescription patterns of hypoglycemic drugs during a 15 year-observation period in a large population of T2DM outpatients and their effect on metabolic control.

METHODS

Data on all T2DM patients attending 258 Italian diabetes clinics between 2005 and 2019 were collected and analyzed for three 5-years periods. The addition of a second drug to metformin and the addition of a third agent to dual therapy were evaluated.

RESULTS

During the observation period, 437.179 patients added a second drug to metformin. The intensification occurred earlier over time: patients had a shorter duration of disease and a better cardiovascular risk profile in the last five years, compared to previous periods. During the same period, 208.767 patients added a third agent to dual therapy. Duration of diabetes at the time of intensification decreased, and cardiovascular risk profile improved over time. Also HbA1c levels at the time of intensification decreased over time.

CONCLUSIONS

in this large cohort of T2MD subjects during a long observation period an earlier treatment intensification and a better metabolic control were observed, suggesting an improved approach to clinical inertia.

Clinical profiles and quality of care of subjects with type 2 diabetes according to their cardiovascular risk: an observational, retrospective study

Background

The European Society of Cardiology (ESC) recently defined cardiovascular risk classes for subjects with diabetes. Aim of this study was to explore the distribution of subjects with type 2 diabetes (T2D) by cardiovascular risk groups according to the ESC classification and to describe the quality indicators of care, with particular regard to cardiovascular risk factors.

Methods

The study is based on data extracted from electronic medical records of patients treated at the 258 Italian diabetes centers participating in the AMD Annals initiative. Patients with T2D were stratified by cardiovascular risk. General descriptive indicators, measures of intermediate outcomes, intensity/appropriateness of pharmacological treatment for diabetes and cardiovascular risk factors, presence of other complications and overall quality of care were evaluated.

Results

Overall, 473,740 subjects with type 2 diabetes (78.5% at very high cardiovascular risk, 20.9% at high risk and 0.6% at moderate risk) were evaluated. Among people with T2D at very high risk: 26.4% had retinopathy, 39.5% had albuminuria, 18.7% had a previous major cardiovascular event, 39.0% had organ damage, 89.1% had three or more risk factors. The use of DPP4-i markedly increased as cardiovascular risk increased. The prescription of secretagogues also increased and that of GLP1-RAs tended to increase. The use of SGLT2-i was still limited, and only slightly higher in subjects with very high cardiovascular risk. The overall quality of care, as summarized by the Q score, tended to be lower as the level of cardiovascular risk increased.

Conclusions

A large proportion of subjects with T2D is at high or very high risk. Glucose-lowering drug therapies seem not to be adequately used with respect to their potential advantages in terms of cardiovascular risk reduction. Several actions are necessary to improve the quality of care.

A view on the quality of diabetes care in Italy and the role of Diabetes Clinics from the 2018 ARNO Diabetes Observatory

BACKGROUNDS AND AIMS

To investigate relevant indicators of quality of care in a large population-based sample of people with diabetes representative of clinical practice in Italy in 2018.

METHODS AND RESULTS

We analyzed data from 11,300,750 subjects. All administrative healthcare claims collected in 2018 were scrutinized to identify subjects with diabetes and investigate several indicators of quality of care. Subjects with diabetes were identified by anti-hyperglycemic drug prescriptions, disease-specific co-payment exemption and hospital discharge codes. Indicators of quality of care pertained to monitoring (HbA1c, creatinine, lipid profile, microalbuminuria, eye examination, ECG, ultrasonography of carotid and lower limb arteries) and diabetes treatment (anti-hyperglycemic agents in subjects with cardiovascular disease, CVD). Subjects attending and nonattending Diabetes Clinics were compared. We identified 697,208 individuals with diabetes. HbA1c was assessed at least once in the year in 62.7%, creatinine in 62.3%, total cholesterol in 59.6%, microalbuminuria in 34.3%. Frequency of eye examination was 8.2%, ECG 23.5%, carotid ultrasonography 14.3%, lower limb ultrasonography 7.6%. Among anti-hyperglycemic drugs, SGLT-2 inhibitors were prescribed to ~5% and GLP-1 receptor agonists to ~5% although the proportion of subjects with CVD was ~45%. Subjects attending Diabetes Clinics had higher figures for all these monitoring and treatment indicators.

CONCLUSIONS

The implementation of national and international guidelines regarding disease monitoring and treatment is far from being satisfactory, especially among subjects nonattending Diabetes Clinics. Further efforts and investments are needed for better disseminating guidelines, more efficaciously engaging healthcare professionals and more strongly empowering the healthcare system to improve diabetes care.

Determinants of good metabolic control without weight gain in type 2 diabetes management: a machine learning analysis

INTRODUCTION

The aim of this study was to investigate the factors (clinical, organizational or doctor-related) involved in a timely and effective achievement of metabolic control, with no weight gain, in type 2 diabetes.

RESEARCH DESIGN AND METHODS

Overall, 5.5 million of Hab1c and corresponding weight were studied in the Associazione Medici Diabetologi Annals database (2005-2017 data from 1.5 million patients of the Italian diabetes clinics network). Logic learning machine, a specific type of machine learning technique, was used to extract and rank the most relevant variables and to create the best model underlying the achievement of HbA1c<7 and no weight gain.

RESULTS

The combined goal was achieved in 37.5% of measurements. High HbA1c and fasting glucose values and slow drop of HbA1c have the greatest relevance and emerge as first, main, obstacles the doctor has to overcome. However, as a second line of negative factors, markers of insulin resistance, microvascular complications, years of observation and proxy of duration of disease appear to be important determinants. Quality of assistance provided by the clinic plays a positive role. Almost all the available oral agents are effective whereas insulin use shows positive impact on glucometabolism but negative on weight containment. We also tried to analyze the contribution of each component of the combined endpoint; we found that weight gain was less frequently the reason for not reaching the endpoint and that HbA1c and weight have different determinants. Of note, use of glucagon-like peptide-1 receptor agonists (GLP1-RA) and glifozins improves weight control.

CONCLUSIONS

Treating diabetes as early as possible with the best quality of care, before beta-cell deterioration and microvascular complications occurrence, make it easier to compensate patients. This message is a warning against clinical inertia. All medications play a role in goal achievements but use of GLP1-RAs and glifozins contributes to overweight prevention.

Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists

Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are not limited anymore to a descriptive analysis of the data, as we can obtain greater value by identifying and predicting patterns resulting from inductive reasoning. Machine learning software programs that disclose the reasoning behind a prediction allow for “what-if” models by which it is possible to understand if and how, by changing certain factors, one may improve the outcomes, thereby identifying the optimal behavior. Currently, diabetes care is facing several challenges: the decreasing number of diabetologists, the increasing number of patients, the reduced time allowed for medical visits, the growing complexity of the disease both from the standpoints of clinical and patient care, the difficulty of achieving the relevant clinical targets, the growing burden of disease management for both the health care professional and the patient, and the health care accessibility and sustainability. In this context, new digital technologies and the use of artificial intelligence are certainly a great opportunity. Herein, we report the results of a careful analysis of the current literature and represent the vision of the Italian Association of Medical Diabetologists (AMD) on this controversial topic that, if well used, may be the key for a great scientific innovation. AMD believes that the use of artificial intelligence will enable the conversion of data (descriptive) into knowledge of the factors that “affect” the behavior and correlations (predictive), thereby identifying the key aspects that may establish an improvement of the expected results (prescriptive). Artificial intelligence can therefore become a tool of great technical support to help diabetologists become fully responsible of the individual patient, thereby assuring customized and precise medicine. This, in turn, will allow for comprehensive therapies to be built in accordance with the evidence criteria that should always be the ground for any therapeutic choice.

A quality-improvement approach to effective trauma team activation

Background

Appropriate, timely trauma team activation (TTA) can directly affect outcomes for patients with trauma. A review of quality-performance indicators at our Canadian level 1 trauma centre showed a high level of undertriage, with TTA compliance rates less than 60% for major trauma. A quality-improvement project was undertaken, targeting a sustained goal of at least 90% TTA compliance based on Accreditation Canada guidelines.

Methods

Quality-improvement action followed a well-defined process. Baseline data collection was performed, and, in keeping with the Donabedian approach, we brought together stakeholders to collectively review and understand the reasons behind poor TTA compliance; and root-cause analysis. This was followed by rapid change cycles that focused on structure and processes with ongoing audits to support and sustain change.

Results

Trauma team activation compliance improved from 58.8% to more than 90% over 2 years. Quality indicators showed a statistically significant reduction in the time to computed tomography scanner, time in the acute care region of the emergency department and total time in the emergency department, with improved TTA compliance.

Conclusion

Compliance with TTA protocols improved to more than 90% over a 2-year period, which shows the benefit of having a clearly outlined qualityimprovement process. This well-defined quality-improvement method provides a framework for use by other institutions that seek to improve their processes of trauma care, including activation rates.

Generalizability of Cardiovascular Safety Trials on SGLT2 Inhibitors to the Real World: Implications for Clinical Practice

INTRODUCTION

Following the US Food and Drug Administration (FDA) guidance on the evaluation of novel agents for the treatment of type 2 diabetes mellitus (T2DM), a number of cardiovascular outcomes safety trials (CVOTs) on sodium-glucose cotransporter-2 inhibitors (SGLT2i) have been conducted. These trials show similarities in study design and definition of primary endpoints, but differ in their eligibility criteria. The aim of the present study was to investigate the generalizability of CVOTs on SGLT2i to Italian adults with T2DM; we estimated the proportions of this patient population who would be eligible for enrollment in EMPA-REG OUTCOME (empagliflozin), CANVAS (canagliflozin), DECLARE-TIMI 58 (dapagliflozin), and VERTIS-CV (ertugliflozin) studies.

METHODS

This observational, cross-sectional study was conducted in 222 Italian diabetes clinics. Data on 455,662 adult patients with T2DM seen during 2016 were analyzed against the published patient eligibility criteria for the four CVOTs. The current use of SGLT2i in potentially eligible patients was assessed.

RESULTS

Among the population identified, the proportion of patients meeting major eligibility criteria was 11.7% for EMPA-REG OUTCOME, 29.4% for CANVAS, 55.9% for DECLARE-TIMI 58, and 12.8% for VERTIS-CV. Of the patients eligible for these CVOTs, only a minority (range 4.4-6.8%) was actually prescribed an SGLT2i. Compared with patients in the CVOTs, eligible patients in the real world showed older age and longer diabetes duration, lower BMI and HbA1c levels, lower prevalence of established cardiovascular and cerebrovascular disease, and higher rates of microvascular complications and peripheral arterial disease.

CONCLUSION

The percentage of patients potentially eligible for treatment with SGLT2i varies as a reflection of different eligibility criteria applied in the trials. A large number of patients that could benefit from SGLT2i in terms of not only cardiovascular protection but also renal protection do not receive the treatment.

FUNDING

AstraZeneca.

How are medical groups identified as high-performing? The effect of different approaches to classification of performance

BACKGROUND

Payers and policy makers across the international healthcare market are increasingly using publicly available summary measures to designate providers as "high-performing", but no consistently-applied approach exists to identifying high performers. This paper uses publicly available data to examine how different classification approaches influence which providers are designated as "high-performers".

METHODS

We conducted a quantitative analysis of cross-sectional publicly-available performance data in the U.S. We used 2014 Minnesota Community Measurement data from 58 medical groups to classify performance across 4 domains: quality (two process measures of cancer screening and 2 composite measures of chronic disease management), total cost of care, access (a composite CAHPS measure), and patient experience (3 CAHPS measures). We classified medical groups based on performance using either relative thresholds or absolute values of performance on all included measures.

RESULTS

Using relative thresholds, none of the 58 medical groups achieved performance in the top 25% or 35% in all 4 performance domains. A relative threshold of 40% was needed before one group was classified as high-performing in all 4 domains. Using absolute threshold values, two medical groups were classified as high-performing across all 4 domains. In both approaches, designating "high performance" using fewer domains led to more groups designated as high-performers, though there was little to moderate concordance across identified "high-performing" groups.

CONCLUSIONS

Classification of medical groups as high performing is sensitive to the domains of performance included, the classification approach, and choice of threshold. With increasing focus on achieving high performance in healthcare delivery, the absence of a consistently-applied approach to identify high performers impedes efforts to reliably compare, select and reward high-performing providers.

Overall Quality of Care Predicts the Variability of Key Risk Factors for Complications in Type 2 Diabetes: An Observational, Longitudinal Retrospective Study

OBJECTIVE

An association between variability in clinical parameters (HbA_1c, blood pressure, cholesterol, and uric acid) and risk of complications in type 2 diabetes has been reported. In this analysis, we investigated to what extent such variability is associated with overall quality of care.

RESEARCH DESIGN AND METHODS

The quality of care summary score (Q-score) represents a validated, overall quality of care indicator ranging between 0 and 40; the higher the score, the better the quality of care provided by the diabetes center. We identified patients with five or more measurements of clinical parameters after the assessment of the Q-score. Multiple linear regression analyses assessed the role of the Q-score in predicting the variability of the different parameters.

RESULTS

Overall, 273,888 patients were analyzed. The variability of all the parameters systematically increased with decreasing Q-score values. At multivariate linear regression analysis, compared with a Q-score >25, a score <15 was associated with a significantly larger variation in HbA_1c, blood pressure, uric acid, total cholesterol, and LDL cholesterol and a lower variation in HDL cholesterol. The analysis of standardized β coefficients show that the Q-score has a larger impact on the variability of HbA_1c (0.34; P < 0.0001), systolic blood pressure (0.21; P < 0.0001), total cholesterol (0.21; P < 0.0001), and LDL cholesterol (0.20; P < 0.0001).

CONCLUSIONS

The variability of risk factors for diabetic complications is associated with quality of care. Quality of care improvement initiatives should be targeted to increase the achievement of the recommended target while reducing such variability.

Risk-adjustment of diabetes health outcomes improves the accuracy of performance benchmarking

Benchmarking clinical performance by comparing diabetes health outcomes across healthcare providers drives quality improvement. Non-care related patient risk factors are likely to confound clinical performance, but few studies have tested this. This cross-sectional study is the first Australian investigation to analyse the effect of risk-adjustment for non-care related patient factors on benchmarking. Data from 4,670 patients with type 2 (n = 3,496) or type 1 (n = 1,174) were analysed across 49 diabetes centres. Diabetes health outcomes (HbA1c levels, LDL-cholesterol levels, systolic blood pressure and rates of severe hypoglycaemia) were risk-adjusted for non-care related patient factors using multivariate stepwise linear and logistic regression models. Unadjusted and risk-adjusted funnel plots were constructed for each outcome to identify low-performing and high-performing outliers. Unadjusted funnel plots identified 27 low-performing outliers and 15 high-performing outliers across all diabetes health outcomes. After risk-adjustment, 22 (81%) low-performing outliers and 13 (87%) high-performing outliers became inliers. Additionally, one inlier became a low-performing outlier. Risk-adjustment of diabetes health outcomes significantly reduced false positives and false negatives for outlier performance, hence providing more accurate information to guide quality improvement activity.

Portrait of women with type 1 or type 2 diabetes of childbearing age attending diabetes clinics in Italy: the AMD-Annals initiative

AIM

To describe characteristics relevant in case of an unplanned pregnancy for T1D or T2D women of childbearing age.

METHODS

We analyzed the 2011 AMD-Annals dataset, compiling information from 300 clinics (28,840 T1D patients and 532,651 T2D patients). A risk score of unfavorable conditions for pregnancy included HbA1c > 8.0%; BMI ≥ 35; systolic BP ≥ 140 mmHg or diastolic BP ≥ 90 mmHg; microalbuminuria/proteinuria; use of statins, ACE inhibitors, ARB; use of diabetes drugs other than metformin/insulin.

RESULTS

The proportion of T2D cases increased from 30.8% (95% CI 29.9-32.4) at age 18-30 years to 67.5% (66.6-68.5) at age 36-45 years. The proportion of women with HbA1c < 7.0% was 20.4% (20.0-20.8) in T1D and 43.4% (42.8-43.9) in T2D women. Furthermore, 47.6% (47.0-48.3) of T1D women and 34.5% (33.9-35.0) of T2D women had HbA1c ≥ 8.0%. The prevalence of obesity (BMI ≥ 30) was sevenfold higher among T2D than T1D women [49.9% (49.4-50.5) and 7.4% (7.2-7.5), respectively]. T2D women were more likely to have hypertension or microalbuminuria than T1D women. Almost half of the T2D women were taking drugs not approved during pregnancy. At least one unfavorable condition for starting a pregnancy was present in 51% of T1D women of childbearing age and in 66.7% of T2D women.

CONCLUSIONS

Women with either T1D or T2D of childbearing age in Italy were far from the ideal medical condition for conception. Our data strongly support the need for counseling all women with diabetes about pregnancy planning.

Variability in HbA1c, blood pressure, lipid parameters and serum uric acid, and risk of development of chronic kidney disease in type 2 diabetes

AIM

Variability in HbA1c and blood pressure is associated with the risk of diabetic kidney disease (DKD). No evidence exists on the role of variability in lipids or serum uric acid (UA), or the interplay between the variability of different parameters, in renal outcomes.

METHODS

Within the AMD Annals database, we identified patients with ≥5 measurements of HbA1c, systolic blood pressure (SBP) and diastolic blood pressure (DBP), total-, high-density lipoprotein (HDL)- and low-density lipoprotein (LDL)-cholesterol, triglycerides, and UA. Patients were followed-up for up to 5 years. The impact of measures of variability on the risk of DKD was investigated by Cox regression analysis and recursive partitioning techniques.

RESULTS

Four-thousand, two-hundred and thirty-one patients were evaluated for development of albuminuria, and 7560 for decreased estimated glomerular filtration rate (eGFR; <60 mL/min/1.73 m² ). A significantly higher risk of developing albuminuria was associated with variability in HbA1c [upper quartile hazard ratio (HR) = 1.3; 95% confidence interval (CI) 1.1-1.6]. Variability in SBP, DBP, HDL-C, LDL-C and UA predicted the decline in eGFR, the association with UA variability being particularly strong (upper quartile HR = 1.8; 95% CI 1.3-2.4). The concomitance of high variability in HbA1c and HDL-C conferred the highest risk of developing albuminuria (HR = 1.47; 95% CI 1.17-1.84), while a high variability in UA (HR = 1.54; 95% CI 1.19-1.99) or DBP (HR = 1.47; 95% CI 1.11-1.94) conferred the highest risk of decline in eGFR.

CONCLUSION

The variability of several parameters influences the development of DKD, having a different impact on albuminuria development and on the decline in GFR.

Occurrence over time and regression of nonalcoholic fatty liver disease in type 2 diabetes

BACKGROUND

This analysis was aimed to assess the incidence, regression, and correlated factors of nonalcoholic fatty liver disease (NAFLD) in type 2 diabetes, which are poorly known.

METHODS

Nonalcoholic fatty liver disease (defined as fatty liver index [FLI] score ≥ 60) in patients with type 2 diabetes, and related factors was investigated in a nationwide database containing information from the Italian network of diabetes clinics. A 10% variation of FLI was the cut-off considered in the analyses of a cohort of 5030 patients, which was separately conducted for those who developed, maintained, or recovered from FLI-assessed NAFLD (FLI-NAFLD) over a 3-year period.

RESULTS

At baseline, FLI-NAFLD was diagnosed in 61.3% of patients. Within the 3-year study period, FLI-NAFLD occurred in 313 patients and remitted in 410. The FLI score remained unchanged in 4307. Body-mass index (odds ratio, 1.45 95%; confidence interval, 1.35-1.55), abdominal obesity (2.11; 1.64-2.72), low HDL cholesterol levels (1.38; 1.02-1.87), and triglycerides (1.20; 1.12-1.28) all emerged as notable negative prognostic factors for the development or maintenance of FLI-NAFLD. The regression rate of FLI-NAFLD was higher among patients who managed to partially control these factors. Male sex and established organ damage, especially kidney function (1.64; 1.12-2.42), were independent risk predictors. Unlike other diabetes complications, FLI-NAFLD was more frequent among younger patients or those with a shorter duration of diabetes.

CONCLUSIONS

FLI-assessed NAFLD is a dynamic condition, with about 5% of diabetic patients entering or leaving the status every year. Younger male patients with insulin resistance or organ damage have a higher risk of presenting with FLI-NAFLD at baseline, developing FLI-NAFLD within 3 years, and a lower probability of regression.

Blood glucose levels and glycaemic burden in 76,341 patients attending primary care: Bittersweet findings from a 9-year cohort study

AIMS

Diabetes care is principally applied in the primary care setting whereby we examined trends in glycaemic levels and goals and estimated avoidable glycaemic burden.

METHODS

We retrieved glycated haemoglobin (HbA_1C) results and glucose-lowering prescription records from a patient-based medical database during 2005-2013. There were 275,480 available HbA_1C measurements from 76,341 individuals managed by 960 general practitioners from 321 clinics across Australia. Change in mean levels and glycaemic control over time were assessed according to sex, age and glucose-lowering therapy. The time that HbA_1C levels exceeded 7% (53mmol/mol) in untreated (n=4888), non-insulin (n=11,534) and insulin treated (n=4049) patients was calculated as area under the curve (AUC) and months above threshold.

RESULTS

Average age of patients was 62.1±15.1years (47.1% women). HbA_1C levels decreased from 7.1% (54mmol/mol) in 2005 to 6.6% (49mmol/mol) in 2013 and the proportion of patients who achieved a HbA_1C target of <7% improved by 16% in men (53-69%) and 21% in women (55-76%). HbA_1C levels decreased with advancing age in men and increased with insulin treatment; correspondingly, HbA_1C goal attainment increased and decreased, respectively. Avoidable glycaemic burden was 9.3±17.7months in untreated, 16.2±25.2months in non-insulin, and 26.8±34.6months in insulin-treated patients.

CONCLUSIONS

Amid considerable improvements, many treated patients still do not attain HbA_1C levels ≤7% and time spent above this threshold was delayed. Earlier and more vigorously intensified management may reduce lengthy periods of uncontrolled hyperglycaemia in primary care.

The complex interplay between clinical and person-centered diabetes outcomes in the two genders

Background

New approaches to cope with clinical and psychosocial aspects of type 2 diabetes (T2DM) are needed; gender influences the complex interplay between clinical and non-clinical factors. We used data from the BENCH-D study to assess gender-differences in terms of clinical and person-centered measures in T2DM.

Methods

Clinical quality of care indicators relative to control of HbA1c, lipid profile, blood pressure, and BMI were derived from electronic medical records. Ten self-administered validated questionnaires (SF-12 Health Survey; WHO-5 well-being index; Problem Areas in Diabetes (PAID) 5, Health Care Climate Questionnaire, Patients Assessment of Chronic Illness Care, Diabetes Empowerment Scale, Diabetes Self-care Activities, Global Satisfaction for Diabetes Treatment, Barriers to Taking Medications, Perceived Social Support) were adopted as person-centered outcomes indicators.

Results

Overall, 26 diabetes clinics enrolled 2,335 people (men: 59.7%; women: 40.3%). Lower percentages of women reached HbA1c levels < =7.0% (23.2% vs. 27.8%; p = 0.03), LDL-cholesterol < 100 mg/dl (48.3 vs. 57.8%; p = 0.0005), and BMI <27 Kg/m2 (27.2 vs. 31.6%; p = 0.04) than men. Women had statistically significant poorer scores for physical functioning, psychological well-being, self-care activities dedicated to physical activities, empowerment, diabetes-related distress, satisfaction with treatment, barriers to medication taking, satisfaction with access to chronic care and healthcare communication, and perceived social support than men; 24.8% of women and 8.8% of men had WHO-5 < =28 (likely depression) (p < 0.0001); 67.7% of women and 55.1% of men had PAID-5 > 40 (high levels of diabetes-related distress) (p < 0.0001). At multivariate analysis, factors associated with an increased likelihood of having elevated HbA1c levels (≥8.0%) were different in men and women, e.g. having PAID-5 levels >40 was associated with a higher likelihood of HbA1c ≥8.0% in women (OR = 1.15; 95%CI 1.05–1.25) but not in men (OR = 1.00; 95%CI 0.93–1.08).

Conclusions

In T2DM, women show poorer clinical and person-centered outcomes indicators than men. Diabetes-related distress plays a role as a correlate of metabolic control in women but not in men. The study provides new information about the interplay between clinical and person-centered indicators in men and women which may guide further improvements in diabetes education and support programs.

Gender-Disparities in Adults with Type 1 Diabetes: More Than a Quality of Care Issue. A Cross-Sectional Observational Study from the AMD Annals Initiative

We evaluated gender-differences in quality of type 1 diabetes (T1DM) care. Starting from electronic medical records of 300 centers, 5 process indicators, 3 favorable and 6 unfavorable intermediate outcomes, 6 treatment intensity/appropriateness measures and an overall quality score were measured. The likelihood of women vs. men (reference class) to be monitored, to reach outcomes, or to be treated has been investigated through multilevel logistic regression analyses; results are expressed as Odd Ratios (ORs) and 95% confidence intervals (95%CIs). The inter-center variability in the achievement of the unfavorable outcomes was also investigated. Overall, 28,802 subjects were analyzed (45.5% women). Women and men had similar age (44.5±16.0 vs. 45.0±17.0 years) and diabetes duration (18.3±13.0 vs. 18.8±13.0 years). No between-gender differences were found in process indicators. As for intermediate outcomes, women showed 33% higher likelihood of having HbA1c ≥8.0% (OR = 1.33; 95%CI: 1.25–1.43), 29% lower risk of blood pressure ≥140/90 mmHg (OR = 0.71; 95%CI: 0.65–0.77) and 27% lower risk of micro/macroalbuminuria (OR = 0.73; 95%CI: 0.65–0.81) than men, while BMI, LDL-c and GFR did not significantly differ; treatment intensity/appropriateness was not systematically different between genders; overall quality score was similar in men and women. Consistently across centers a larger proportion of women than men had HbA1c ≥8.0%, while a smaller proportion had BP ≥140/90 mmHg. No gender-disparities were found in process measures and improvements are required in both genders. The systematic worse metabolic control in women and worse blood pressure in men suggest that pathophysiologic differences rather than the care provided might explain these differences.

Correlates of diabetes-related distress in type 2 diabetes: Findings from the benchmarking network for clinical and humanistic outcomes in diabetes (BENCH-D) study

OBJECTIVE

To evaluate correlates of high diabetes-related distress (HD) among individuals with type 2 diabetes mellitus (T2DM).

METHODS

The study involved a sample of patients with T2DM who filled in the Problem Areas in Diabetes questionnaire (PAID-5); a score ≥ 40 indicates HD. Additional instruments included: SF12 health survey (SF12), Well-Being Index (WHO-5), Diabetes Empowerment Scale-Short Form (DES-SF), Patient Assessment of Chronic Illness Care-Short Form (PACIC-SF), Health Care Climate-Short Form (HCC-SF), Global Satisfaction with Diabetes Treatment (GSDT), Summary of Diabetes Self-Care Activities (SDSCA-6); Barriers to Medications (BM), Perceived Social Support (PSS). Clinical data were extracted from computerized medical records. Multivariable logistic regression analyses were performed to identify correlates of HD.

RESULTS

Of 2374 patients (mean age 65.0±10.2 years, diabetes duration 14.0±15.3 years, 59.9% males), 1429 (60.2%) had HD. Compared to patients with a PAID-5 score<40 those with HD were more often female, living alone, had a lower level of education, higher HbA1c levels, a greater perceived impact of hyperglycemic and hypoglycemic symptoms, a greater number of diabetes-related complications, lower scores of WHO-5, DES-SF, PSS, GSDT, SF-12 PCS, SDSCA-healthy diet and physical activity subscales, higher scores of BM and SDSCA-SMBG component. Multivariable analyses confirmed the relationship between HD and symptoms of hyperglycemia, levels of empowerment, global satisfaction with treatment, perception of barriers to medication, and psychological well-being. Conclusion HD is extremely common among people with T2DM, affecting almost two-thirds of patients. High levels of distress are associated with worse clinical and psychosocial outcomes and should be considered as a key patient-centered indicator.

Trends over 8 years in quality of diabetes care: results of the AMD Annals continuous quality improvement initiative

OBJECTIVE

Quality of care monitoring is a key strategy for health policy. In Italy, the AMD Annals continuous monitoring and quality improvement initiative has been in place since 2006. Results after 8 years are now available.

RESEARCH DESIGN AND METHODS

Quality of diabetes care indicators during the years 2004-2011 were extracted from electronic medical records of 300 diabetes clinics. From 200,000 to 500,000 patients with type 2 diabetes were analyzed per year. Six process indicators, eight intermediate outcome indicators, seven indicators of treatment intensity/appropriateness, and a quality of care summary score (Q score) were evaluated. Previous studies documented that the risk of developing a new cardiovascular event was 80 % higher in patients with a Q score <15 and 20 % higher in those with a score between 15 and 25, as compared to those with a score >25.

RESULTS

The proportion of patients with HbA1c ≤7 %, LDL cholesterol <100 mg/dl, and blood pressure ≥140/90 mmHg increased by 4.8, 21.9, and 10.0 %, respectively. Process and treatment intensity/appropriateness indicators consistently improved. The proportion of patients with a Q score <15 decreased from 13.5 to 6.5 %, while those with a Q score >25 increased from 22.9 to 38.5 %.

CONCLUSIONS

AMD Annals document the progress in quality of diabetes care. Longitudinal improvements in Q score can translate into less cardiovascular events, with evident clinical and economic implications. AMD Annals represent a physician-led effort not requiring allocation of extra-economic resources, which is easy to implement and deeply rooted in routine clinical practice. They are a potential case model for other healthcare systems.

Health care delivery in type 2 diabetes. A survey in an Italian primary care practice

AIMS

Evidence-based guidelines provide targets and performance measures for the treatment of type 2 diabetic patients but a wide gap separates guidelines-driven recommendations from their clinical application, a phenomenon hindering the transfer of proven benefits to affected populations.

METHODS

We analyzed the quality of diabetic care delivered by 8 general practitioners joint in a group practice attending 571 diabetic patients (5.6% of the total enlisted subjects) by assessing process (% of HbA1c, SBP and LDL-C determinations) and intermediate outcome (% of patients with HbA1c <7% vs >8%, systolic BP <130 mmHg vs >140 mmHg, LDL-cholesterol <100 mg/dL vs >130 mg/dL) indicators.

RESULTS

HbA1c was at target in 49% of patients and >8% in 22%; SBP and LDL-C determination was available in about two-thirds of patients, only a minority at target for SBP and LDL-C. Antihyperglycemic and antihypertensive treatment was prescribed in most patients but only a third was on statins. During the post-evaluation phase, percentages of patients with HbA1c >8%, SBP < 130 mmHg and LDL-C < 100 mg/dL and the drug prescription pattern did not change.

CONCLUSIONS

Several weaknesses affect primary care delivery to type 2 diabetic patients and efforts are needed to improve the management of this high-risk group.

Proportion of Brazilian diabetes patients that achieve treatment goals: implications for better quality of care

BACKGROUND

Diabetes and its complications are substantial causes of morbidity and mortality, and caused approximately 5.1 million deaths worldwide in 2013. Early detection and treatment of diabetes complications can prevent their progression.

OBJECT

This study compared the proportions of patients with type 1 and 2 diabetes mellitus (T1DM and T2DM, respectively) who achieved the goals of good clinical control.

METHODS

Adults and elderly patients with T1DM and T2DM at a public outpatient endocrinology service in Brazil were retrospectively evaluated between 2012 and 2013. Clinical and socio demographic data were obtained from medical records and evaluated in accordance with the Brazilian Diabetes Society Guidelines. Care process measures, outcomes indicators, and supporting process measures were evaluated.

RESULTS

A total of 1031 records were analyzed: 29 and 71 % of patients had T1DM and T2DM, respectively. T2DM patients had significantly higher BMI than T1DM patients (overweight and obesity in 85.1 vs. 47.5 %, p < 0.01). The follow-up periods for diabetes and number of clinical visits to the endocrinology service were significantly greater among T1DM patients than T2DM patients (p < 0.01). However, T2DM patients required significantly more other (i.e., non-endocrinological) healthcare services (p < 0.01). HbA1c was significantly lower in T2DM patients (p < 0.01). Moreover, blood pressure and triglycerides were significantly higher in T2DM patients (p < 0.01), whereas total cholesterol and low-density lipoprotein were significantly lower in T2DM patients (p < 0.01). Only 0.5 % of the patients achieved all targets, and 1.1 % did not achieve any.

CONCLUSIONS

The achievement of goals of good clinical practice varies among the parameters evaluated. Almost no patients achieved all targets. Many patients are overweight and do not achieve targets for HbA1c, lipid profile, or blood pressure control.

Algorithms for personalized therapy of type 2 diabetes: results of a web-based international survey

OBJECTIVE

In recent years increasing interest in the issue of treatment personalization for type 2 diabetes (T2DM) has emerged. This international web-based survey aimed to evaluate opinions of physicians about tailored therapeutic algorithms developed by the Italian Association of Diabetologists (AMD) and available online, and to get suggestions for future developments. Another aim of this initiative was to assess whether the online advertising and the survey would have increased the global visibility of the AMD algorithms.

RESEARCH DESIGN AND METHODS

The web-based survey, which comprised five questions, has been available from the homepage of the web-version of the journal Diabetes Care throughout the month of December 2013, and on the AMD website between December 2013 and September 2014. Participation was totally free and responders were anonymous.

RESULTS

Overall, 452 physicians (M=58.4%) participated in the survey. Diabetologists accounted for 76.8% of responders. The results of the survey show wide agreement (>90%) by participants on the utility of the algorithms proposed, even if they do not cover all possible needs of patients with T2DM for a personalized therapeutic approach. In the online survey period and in the months after its conclusion, a relevant and durable increase in the number of unique users who visited the websites was registered, compared to the period preceding the survey.

CONCLUSIONS

Patients with T2DM are heterogeneous, and there is interest toward accessible and easy to use personalized therapeutic algorithms. Responders opinions probably reflect the peculiar organization of diabetes care in each country.

Age- and Gender-Related Differences in LDL-Cholesterol Management in Outpatients with Type 2 Diabetes Mellitus

Background. Dyslipidemia contribute to the excess of coronary heart disease (CHD) risk observed in women with type 2 diabetes (T2DM). Low density lipoprotein-cholesterol (LDL-C) is the major target for CHD prevention, and T2DM women seem to reach LDL-C targets less frequently than men. Aim. To explore age- and gender-related differences in LDL-C management in a large sample of outpatients with T2DM. Results. Overall, 415.294 patients (45.3% women) from 236 diabetes centers in Italy were included. Women were older and more obese, with longer diabetes duration, higher total-cholesterol, LDL-C, and HDL-C serum levels compared to men (P < 0.0001). Lipid profile was monitored in ~75% of subjects, women being monitored less frequently than men, irrespective of age. More women did not reach the LDL-C target as compared to men, particularly in the subgroup treated with lipid-lowering medications. The between-genders gap in reaching LDL-C targets increased with age and diabetes duration, favouring men in all groups. Conclusions. LDL-C management is worst in women with T2DM, who are monitored and reach targets less frequently than T2DM men. Similarly to men, they do not receive medications despite high LDL-C. These gender discrepancies increase with age and diabetes duration, exposing older women to higher CHD risk.

Diabetic kidney disease: a report from an ADA Consensus Conference

The incidence and prevalence of diabetes mellitus have grown significantly throughout the world, due primarily to the increase in type 2 diabetes. This overall increase in the number of people with diabetes has had a major impact on development of diabetic kidney disease (DKD), one of the most frequent complications of both types of diabetes. DKD is the leading cause of end-stage renal disease (ESRD), accounting for approximately 50% of cases in the developed world. Although incidence rates for ESRD attributable to DKD have recently stabilized, these rates continue to rise in high-risk groups such as middle-aged African Americans, Native Americans, and Hispanics. The costs of care for people with DKD are extraordinarily high. In the Medicare population alone, DKD-related expenditures among this mostly older group were nearly $25 billion in 2011. Due to the high human and societal costs, the Consensus Conference on Chronic Kidney Disease and Diabetes was convened by the American Diabetes Association in collaboration with the American Society of Nephrology and the National Kidney Foundation to appraise issues regarding patient management, highlighting current practices and new directions. Major topic areas in DKD included 1) identification and monitoring, 2) cardiovascular disease and management of dyslipidemia, 3) hypertension and use of renin-angiotensin-aldosterone system blockade and mineralocorticoid receptor blockade, 4) glycemia measurement, hypoglycemia, and drug therapies, 5) nutrition and general care in advanced-stage chronic kidney disease, 6) children and adolescents, and 7) multidisciplinary approaches and medical home models for health care delivery. This current state summary and research recommendations are designed to guide advances in care and the generation of new knowledge that will meaningfully improve life for people with DKD.

Improving quality of care in people with Type 2 diabetes through the Associazione Medici Diabetologi-annals initiative: a long-term cost-effectiveness analysis

AIMS

The Associazione Medici Diabetologi-annals initiative is a physician-led quality-of-care improvement scheme that has been shown to improve HbA1c concentration, blood pressure, lipid profiles and BMI in enrolled people with Type 2 diabetes. The present analysis investigated the long-term cost-effectiveness of enrolling people with Type 2 diabetes in the Associazione Medici Diabetologi-annals initiative compared with conventional management.

METHODS

Long-term projections of clinical outcomes and direct costs (in 2010 Euros) were made using a published and validated model of Type 2 diabetes in people with Type 2 diabetes who were either enrolled in the Associazione Medici Diabetologi-annals initiative or who were receiving conventional management. Treatment effects were based on mean changes from baseline seen at 5 years after enrolment in the scheme. Costs and clinical outcomes were discounted at 3% per annum.

RESULTS

The Associazione Medici Diabetologi-annals initiative was associated with improvements in mean discounted life expectancy and quality-adjusted life expectancy of 0.55 years (95% CI 0.54-0.57) years and 0.48 quality-adjusted life years (95% CI 0.46-0.49), respectively, compared with conventional management. Whilst treatment costs were higher in the Associazione Medici Diabetologi-annals arm, this was offset by savings as a result of the reduced incidence and treatment of diabetes-related complications. The Associazione Medici Diabetologi-annals initiative was found to be cost-saving over patient lifetimes compared with conventional management [€ 37,289 (95% CI 37,205-37,372) vs € 41,075 (95% CI 40,956-41,155)].

CONCLUSIONS

Long-term projections indicate that the physician-led Associazione Medici Diabetologi-annals initiative represents a cost-saving method of improving long-term clinical outcomes compared with conventional management of people with Type 2 diabetes in Italy.

Under-treatment of migrants with diabetes in a universalistic health care system: the ARNO Observatory

AIMS

To assess whereas prevalence, treatment and direct costs of drug-treated diabetes were similar in migrants and in people of Italian citizenship under the universalistic Italian health care system.

METHODS AND RESULTS

Drug-treated diabetic individuals were identified in the population-based multiregional ARNO Observatory on the basis of 2010 prescriptions. Migrants were identified by the country-of-birth code on the fiscal identification code. Diabetes prevalence was calculated for Italians (n = 7,328,383) and migrants (n = 527,965). To assess the odds of migrants of having diabetes compared to Italians, we individually matched all migrants to Italians for major confounders (age, sex and place of residence). Finally, all migrants with diabetes were individually matched for confounders to Italians with diabetes to compare prescriptions, hospitalization rates, services use and direct costs for the National Health System. We identified 368,797 subjects with diabetes among Italians and 10,336 among migrants, giving prevalence of 5.03% and 1.96%, respectively. Migrants with diabetes were younger than Italians (52 ± 13 years vs. 68 ± 14 years, P < 0.001); after matching, their risk of disease was higher (odds ratio, 1.55, 95% confidence interval, 1.50-1.60). The total cost was 27% lower in migrants, due to lower cost of drugs (-29%), hospital admission (-27%) and health services (-22%). The number of packages/treated person-year of all glucose-lowering drugs was also lower in migrants (-15%) (P < 0.001).

CONCLUSIONS

Compared to subjects of Italian ancestry, migrants to Italy show a higher risk of diabetes but less intense treatment. Inequalities in health care use are likely and are maintained also in a universalistic system.

Benchmarking network for clinical and humanistic outcomes in diabetes (BENCH-D) study: protocol, tools, and population

Background

In the context of the DAWN-2 initiatives, the BENCH-D Study aims to test a model of regional benchmarking to improve not only the quality of diabetes care, but also patient-centred outcomes.

Methods/Design

As part of the AMD-Annals quality improvement program, 32 diabetes clinics in 4 Italian regions extracted clinical data from electronic databases for measuring process and outcome quality indicators. A random sample of patients with type 2 diabetes filled in a questionnaire including validated instruments to assess patient-centred indicators: SF-12 Health Survey, WHO-5 Well-Being Index, Diabetes Empowerment Scale, Problem Areas in Diabetes, Health Care Climate Questionnaire, Patients Assessment of Chronic Illness Care, Barriers to Medications, Patient Support, Diabetes Self-care Activities, and Global Satisfaction for Diabetes Treatment. Data were discussed with participants in regional meetings. Main problems, obstacles and solutions were identified through a standardized process, and a regional mandate was produced to drive the priority actions. Overall, clinical indicators on 78,854 patients have been measured; additionally, 2,390 patients filled-in the questionnaire. The regional mandates were officially launched in March 2012. Clinical and patient-centred indicators will be evaluated again after 18 months. A final assessment of clinical indicators will take place after 30 months.

Discussion

In the context of the BENCH-D study, a set of instruments has been validated to measure patient well-being and satisfaction with the care. In the four regional meetings, different priorities were identified, reflecting different organizational resources of the different areas. In all the regions, a major challenge was represented by the need of skills and instruments to address psychosocial issues of people with diabetes. The BENCH-D study allows a field testing of benchmarking activities focused on clinical and patient-centred indicators.

Sex disparities in the quality of diabetes care: biological and cultural factors may play a different role for different outcomes: a cross-sectional observational study from the AMD Annals initiative

OBJECTIVE

To investigate the quality of type 2 diabetes care according to sex.

RESEARCH DESIGN AND METHODS

Clinical data collected during the year 2009 were extracted from electronic medical records; quality-of-care indicators were evaluated. Multilevel logistic regression analysis was applied to estimate the likelihood of women versus men to be monitored for selected parameters, to reach clinical outcomes, and to be treated with specific classes of drugs. The intercenter variability in the proportion of men and women achieving the targets was also investigated.

RESULTS

Overall, 415,294 patients from 236 diabetes outpatient centers were evaluated, of whom 188,125 (45.3%) were women and 227,169 (54.7%) were men. Women were 14% more likely than men to have HbA1c>9.0% in spite of insulin treatment (odds ratio 1.14 [95% CI 1.10-1.17]), 42% more likely to have LDL cholesterol (LDL-C)≥130 mg/dL (1.42 [1.38-1.46]) in spite of lipid-lowering treatment, and 50% more likely to have BMI≥30 kg/m2 (1.50 [1.50-1.54]). Women were less likely to be monitored for foot and eye complications. In 99% of centers, the percentage of men reaching the LDL-C target was higher than in women, the proportion of patients reaching the HbA1c target was in favor of men in 80% of the centers, and no differences emerged for blood pressure.

CONCLUSIONS

Women show a poorer quality of diabetes care than men. The attainment of the LDL-C target seems to be mainly related to pathophysiological factors, whereas patient and physician attitudes can play an important role in other process measures and outcomes.

Simultaneous control of diabetes mellitus, hypertension, and hyperlipidemia in 2 health systems

BACKGROUND

Many individuals with diabetes mellitus, hypertension, and hyperlipidemia have difficulty achieving control of all 3 conditions. We assessed the incidence and duration of simultaneous control of hyperglycemia, blood pressure, and low-density lipoprotein cholesterol in patients from 2 health care systems in Colorado.

METHODS AND RESULTS

We performed a retrospective cohort study of adults at Denver Health and Kaiser Permanente Colorado with diabetes mellitus, hypertension, and hyperlipidemia from 2000 through 2008. Over a median of 4.0 and 4.4 years, 16% and 30% of individuals at Denver Health and Kaiser Permanente achieved the primary outcome (simultaneous control with a glycosylated hemoglobin (HbA(1c)) <7.0%, blood pressure <130/80 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL), respectively. With less strict goals (HbA(1c) <8.0%, blood pressure <140/90 mm Hg, and low-density lipoprotein cholesterol <130 mg/dL), 44% and 70% of individuals at Denver Health and Kaiser Permanente achieved simultaneous control. Sociodemographic characteristics (increasing age, white ethnicity), and the presence of cardiovascular disease or other comorbidities were significantly but not strongly predictive of achieving simultaneous control in multivariable models. Simultaneous control was less likely as severity of the underlying conditions increased, and more likely as medication adherence increased.

CONCLUSIONS

Simultaneous control of diabetes mellitus, hypertension, and hyperlipidemia was uncommon and generally transient. Less stringent goals had a relatively large effect on the proportion achieving simultaneous control. Individuals who simultaneously achieve multiple treatment goals may provide insight into self-care strategies for individuals with comorbid health conditions.

The burden of hospitalization related to diabetes mellitus: a population-based study

BACKGROUND AND AIMS

To estimate the impact of diabetes and its complications, overall and in different age classes, on the likelihood of hospital admission for specific causes.

METHODS AND RESULTS

We carried out a record-linkage analysis of administrative registers including data on 8,940,420 citizens in 21 Local Health Authorities in Italy. Individuals with pharmacologically treated diabetes (≥2 prescriptions of antidiabetic agents during the year 2008) were paired in a 1:1 proportion with those who did not receive such drugs (controls) based on propensity-score matching. Odds Ratios (ORs) of hospitalization for macro and microvascular conditions in individuals with diabetes as compared to controls were estimated. The system identified 498,825 individuals with diabetes pharmacologically treated (prevalence of 5.6%). Prevalence of diabetes in people aged <14 years, 14-39 years, 40-65 years, and ≥65 years was 0.1%, 0.6%, 6.4%, and 18.2%, respectively. Overall, 23.9% of subjects with diabetes and 11.5% of controls had had at least a hospital admission during 12 months for the causes considered. Diabetes increased the likelihood of hospitalization by two to six times for the different causes examined. In absolute terms, diabetes was responsible for an excess of over 12,000 hospital admissions per 100,000 individuals/year.

CONCLUSION

Despite the availability of effective treatments to prevent or delay major complications, diabetes still places an enormous burden on both patients and the health care system. Given the continuous rise in diabetes prevalence both in middle-aged and elderly individuals, we can expect an additional, hardly sustainable increase in the demand for health care in the near future.

Poor achievement of guidelines-recommended targets in type 2 diabetes: findings from a contemporary prospective cohort study

AIMS

To prospectively evaluate diabetes management in the primary care setting and explore factors related to guideline-recommended triple target achievement [blood pressure (BP) ≤ 130/80 mmHg, A1C ≤ 7% and low-density lipoprotein (LDL)-cholesterol < 2.5 mmol/l].

METHODS

Baseline, 6 and 12 month data on clinical and laboratory parameters were measured in 3002 patients with type 2 diabetes enrolled as part of a prospective quality enhancement research initiative in Canada. A generalised estimating equation model was fitted to assess variables associated with triple target achievement.

RESULTS

At baseline, 54%, 53% and 64% of patients, respectively, had BP, A1C and LDL-cholesterol at target; all three goals were met by 19% of patients. The percentage of individuals achieving these targets significantly increased during the study [60%, 57%, 76% and 26%, respectively, at the final visit, p < 0.0001 except for A1C, p = 0.27]. A much smaller proportion of patients had adequate control during the entire study period [30%, 39%, 53% and 7%, respectively]. In multivariable analysis, women, patients younger than 65 years and patients of Afro-Canadian origin were less likely to achieve the triple target.

DISCUSSION

As part of a quality enhancement research initiative, we observed important improvements in the attainment of guidelines-recommended targets in patients with type 2 diabetes followed for a 12-month period in the primary care setting; however, many individuals still failed to achieve and especially maintain optimal goals for therapy, particularly the triple target. Results of the multivariable analysis reinforce the need to address barriers to improve diabetes care, particularly in more susceptible groups.

Proportion of patients at HbA1c target <7% with eight classes of antidiabetic drugs in type 2 diabetes: systematic review of 218 randomized controlled trials with 78 945 patients

AIM

We assessed the efficacy of eight classes of diabetes medications used in current clinical practice [metformin, sulphonylureas, α-glucosidase inhibitors, thiazolidinediones, glinides, dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 (GLP-1) analogues and insulin analogues] to reach the HbA1c target <7% in type 2 diabetes.

METHODS

MEDLINE, EMBASE and the Cochrane CENTRAL were searched from inception through April 2011 for randomized controlled trials (RCTs) involving antidiabetic drugs. RCTs had to report the effect of any diabetes medication on the HbA1c levels, to include at least 30 subjects in every arm of the study, and to report the effect of therapy after a minimum of 12 weeks. Data were summarized across studies using random-effects meta-regression.

RESULTS

A total of 218 RCTs (339 arms and 77 950 patients) met the inclusion criteria. The proportion of patients who achieved the HbA1c goal ranged from 25.9% (95% CI 18.5-34.9) with α-glucosidase inhibitors to 63.2% (54.1-71.5) with the long-acting GLP-1 analogue. There was a progressive decrease of the proportion of patients at target for each 0.5% increase in baseline HbA1c, ranging from 57.8% for HbA1c ≤7.5% to 20.8% for HbA1c ≥10% (p for trend <0.0001), with some difference between insulin and non-insulin drugs: for insulin, the proportion of patients at goal reached a plateau for basal HbA1c value >9.0% with no further decrease, whereas for non-insulin drugs the relationship was continuous without any evidence of plateau.

CONCLUSIONS

There is a considerable variability with regard to attainment of HbA1c goal of <7% among the different classes of diabetes medications; baseline HbA1c is an important determinant of observed efficacy.

A cluster randomised trial of educational messages to improve the primary care of diabetes

Background

Regular laboratory test monitoring of patient parameters offers a route for improving the quality of chronic disease care. We evaluated the effects of brief educational messages attached to laboratory test reports on diabetes care.

Methods

A programme of cluster randomised controlled trials was set in primary care practices in one primary care trust in England. Participants were the primary care practices' constituent healthcare professionals and patients with diabetes. Interventions comprised brief educational messages added to paper and electronic primary care practice laboratory test reports and introduced over two phases. Phase one messages, attached to Haemoglobin A1c (HbA1c) reports, targeted glycaemic and cholesterol control. Phase two messages, attached to albumin:creatinine ratio (ACR) reports, targeted blood pressure (BP) control, and foot inspection. Main outcome measures comprised practice mean HbA1c and cholesterol levels, diastolic and systolic BP, and proportions of patients having undergone foot inspections.

Results

Initially, 35 out of 37 eligible practices participated. Outcome data were available for a total of 8,690 patients with diabetes from 32 practices. The BP message produced a statistically significant reduction in diastolic BP (-0.62 mmHg; 95% confidence interval -0.82 to -0.42 mmHg) but not systolic BP (-0.06 mmHg, -0.42 to 0.30 mmHg) and increased the odds of achieving target BP control (odds ratio 1.05; 1.00, 1.10). The foot inspection message increased the likelihood of a recorded foot inspection (incidence rate ratio 1.26; 1.18 to 1.36). The glycaemic control message had no effect on mean HbA1c (increase 0.01%; -0.03 to 0.04) despite increasing the odds of a change in likelihood of HbA1c tests being ordered (OR 1.06; 1.01, 1.11). The cholesterol message had no effect (decrease 0.01 mmol/l, -0.04 to 0.05).

Conclusions

Three out of four interventions improved intermediate outcomes or process of diabetes care. The diastolic BP reduction approximates to relative reductions in mortality of 3% to 5% in stroke and 3% to 4% in ischaemic heart disease over 10 years. The lack of effect for other outcomes may, in part, be explained by difficulties in bringing about further improvements beyond certain thresholds of clinical performance.

Trial Registration

Current Controlled Trials, ISRCTN2186314.

Benchmarking and patient safety in hypertensive disorders of pregnancy

Hypertensive disorders of pregnancy are a major cause of morbidity and mortality worldwide. Reliable, published individual patient data from units and countries are lacking. Without these data, clinicians are unable to benchmark their incidence, treatments and outcomes, and patient safety is unable to be routinely assessed. Available data suggest that a notable proportion of the adverse events that occur with hypertensive disease of pregnancy may be preventable. Theory and practice indicate several methods that can offer the possibility of averting these preventable adverse events. These methods include benchmarking outcomes, standardisation of care processes, simulation, and enhancement of patient knowledge. However, data on optimal methods to enhance patient safety and quality of care of pregnant women with hypertensive disease remain limited, and further research is required.

Impact of a chronic care model based on patient empowerment on the management of Type 2 diabetes: effects of the SINERGIA programme

AIMS

Several chronic care models for diabetes have been implemented in Italy, although conclusive data on their effectiveness are lacking. In the Cusano-Milanino diabetes clinic, patients with Type 2 diabetes with a stable disease/therapy (i.e. a steady level of HbA(1c) without need for therapy changes) are included in the SINERGIA programme: diabetologists, nurses and dietitians empower patients and telemedicine resources are utilized efficiently.

METHODS

Clinical outcomes measured in the year before and after the initiation of SINERGIA were compared. A generalized hierarchical linear regression model for repeated measures was used.

RESULTS

Altogether, 1004 patients were included; baseline characteristics were (mean ± sd): age 66.6 ± 6.2 years, 54.1% male, diabetes duration 10.8 ± 7.7 years, BMI 29.5 ± 4.8 kg/m(2) , HbA(1c) 6.9 ± 0.9% (52 ± 14 mmol/mol); 72.9% of patients were treated with anti-hypertensive drugs; 32.7% were treated with lipid-lowering drugs. After a median follow-up of 12 months (range 6-24 months), the proportion of patients with HbA(1c) ≤ 7.0% (≤ 53 mmol/mol) increased from 32.7 to 45.8% (P<0.0001), while those with HbA(1c) ≥9% (≥75 mmol/mol) decreased from 10.5 to 4.3% (P<0.0001). Patients with LDL cholesterol <100 mg/dl (<2.59 mmol/l) increased from 40 to 47% (P <0.0001), while those with LDL cholesterol ≥130 mg/dl (≥3.36 mmol/l) decreased from 26.6 to 19.7%; blood pressure levels were slightly improved. The mean number of face-to-face encounters decreased from (median and range) 2.8 (2.3-3.4) to 2.3 (1.9-2.7) (P<0.0001) visits per patient/year.

CONCLUSIONS

The SINERGIA model is effective in improving metabolic control and major cardiovascular risk factors, while allowing diabetologists to dedicate more time to patients with more acute disease.