Increasing achievement of the target goals for glycemic, blood pressure and lipid control for adults with diagnosed diabetes in Korea

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.

Burden of prediabetes, undiagnosed, and poorly or potentially sub-controlled diabetes: Lolland-Falster health study

BACKGROUND

This study aimed to investigate prevalence and risk factors for prediabetes, undiagnosed diabetes mellitus, poorly and potentially sub-controlled diabetes in a rural-provincial general adult population in Denmark.

METHODS

Using cross-sectional data from the Lolland-Falster Health Study, we examined a total of 10,895 individuals aged 20 years and above.

RESULTS

Prevalence of prediabetes was 5.8% (men: 6.1%; women: 5.5%); of undiagnosed diabetes 0.8% (men: 1.0%; women: 0.5%); of poorly controlled diabetes 1.2% (men: 1.5%; women: 0.8%); and of potentially sub-controlled diabetes 2% (men: 3.0%; women: 1.3%). In total, 9.8% of all participants had a diabetes-related condition in need of intervention; men at a higher risk than women; RR 1.41 (95% CI 1.26-1.58); person aged + 60 years more than younger; RR 2.66 (95% CI 2.34-3.01); obese more than normal weight person, RR 4.51 (95% CI 3.79-5.38); smokers more than non-smokers, RR 1.38 (95% CI 1.19-1.62); persons with self-reported poor health perception more than those with good, RR 2.59 (95% CI 2.13-3.15); low leisure time physical activity more than those with high, RR 2.64 (95% CI 2.17-3.22); and persons with self-reported hypertension more than those without, RR 3.28 (95% CI 2.93-3.68).

CONCLUSIONS

In the Lolland-Falster Health Study, nearly 10% of participants had prediabetes, undiagnosed diabetes, poorly controlled, or potentially sub-controlled diabetes. The risk of these conditions was more than doubled in persons with self-reported poor health perception, self-reported hypertension, low leisure time physical activity, or measured obesity, and a large proportion of people with diabetes-related conditions in need of intervention can therefore be identified relatively easily.

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.

Diabetic Peripheral Neuropathy Is Associated With Higher Systolic Blood Pressure in Adults With Type 2 Diabetes With and Without Hypertension in the Chinese Han Population

OBJECTIVES

Our aim in this study was to investigate the association between diabetic peripheral neuropathy (DPN) and above-normal blood pressure in nonhypertensive adult patients with type 2 diabetes mellitus (T2DM). We also compared achievement of clinical targets for DPN and non-DPN with T2DM.

METHODS

A retrospective survey was administered to 3,810 patients with T2DM. Cases were grouped according to the Toronto Clinical Scoring System as follows: non-DPN, mild DPN, moderate DPN and severe DPN. A total of 1,835 patients (hypertensive, 1,247; nonhypertensive, 588) also underwent nerve conduction velocity testing, and then was divided into quartile groups.

RESULTS

Irrespective of hypertension, systolic blood pressure (SBP) and glycated hemoglobin levels in the DPN group were higher than those in the non-DPN group (p<0.001). In hypertensive patients, blood pressure goal achievement was lower in the DPN group compared with the non-DPN group (31.1% vs 40.5%, p<0.05). Compared with the nerve conduction velocity Q1 (<P25%) group, optimal SBP of the Q2 (P25% to P50%), Q3 (P50% to P75%) and Q4 (>P75%) groups decreased by 62.2%, 68.2% and 78.0%, respectively. In the nonhypertensive patients, detection of optimal SBP was lower in the DPN group than in the non-DPN group (p<0.05). After adjusting for age, sex and diabetes duration (model 2), a 3-point higher DPN score on the Toronto Clinical Scoring System was associated with an SBP level of 4.2 mmHg higher (95% confidence interval, 0.01 to 0.17; p<0.01) in nonhypertensive patients with diabetes.

CONCLUSIONS

DPN is associated with difficulty in hypertension management in T2DM. It is also associated with elevated systolic blood hypertension, even in nonhypertensive patients with diabetes. Elevated SBP in nonhypertensive T2DM may be also worthy of further attention.

Dyslipidemia and Rate of Under-Target Low-Density Lipoprotein-Cholesterol in Patients with Coronary Artery Disease in Korea

Objective

The aim of this study was to evaluate under target rates of low-density lipoprotein-cholesterol (LDL-C) in Korean patients with stable coronary artery disease (CAD) or an acute coronary syndrome (ACS) in real world practice.

Methods

Dyslipidemia International Study II was an international observational study of patients with stable CAD or an ACS. Lipid profiles and use of lipid-lowering therapy (LLT) were documented at enrollment, and for the ACS cohort, 4 months follow-up was recommended. Rates of under target LDL-C as per European guidelines, were evaluated, and multivariate regression was performed to identify predictive factors of patients presenting under the target.

Results

A total of 808 patients were enrolled in Korea, 500 with stable CAD and 308 with ACS. Of these, 90.6% and 52.6% were being treated with LLT, respectively. In the stable CAD group, 40.0% were under target LDL-C, while in ACS group, the rate was 23.7%. A higher statin dose was independently associated with under target LDL-C in both groups (OR, 1.03; p=0.046 [stable CAD] and OR, 1.05; p=0.01 [ACS]). The mean statin dosage (atorvastatin equivalent) was 17 mg/day. In the 79 ACS patients who underwent the follow-up examination, the LDL-C under target rate rose to 59.5%.

Conclusion

Only a minority of patients with stable CAD or ACS were under their target LDL-C level at enrollment. The statin dose was not sufficient in the majority of patients. These results indicate a considerable LLT gap in Korean patients with established CAD.

Evaluation of the Diabetes Regional Coordination Path using the Diabetes Coordination Notebook in community-based diabetes care

AIMS

A number of epidemiologic surveys have demonstrated that improving lifestyle habits, providing patient education, and regular screening of patients for early diabetic symptoms and complications through multidisciplinary collaboration are crucial for the management of diabetes.

METHODS

To evaluate the Diabetes Coordination Notebook and the Diabetes Regional Coordination Path in management of diabetes, 217 community pharmacies conducted a survey by questionnaire in Gifu Prefecture, Japan.

RESULTS

A reply to the questionnaire was obtained from 27,016 individuals, of whom 5,572 claimed to have diabetes or prediabetes. The rate of usage of the Diabetes Coordination Notebook and the Diabetes Regional Coordination Path was 40% and 7%, respectively. Interestingly, patients using the Diabetes Regional Coordination Path more frequently visited an ophthalmic clinic (p < 0.001) and a dental clinic (p < 0.05) than those not using it. Furthermore, multivariate logistic regression analysis revealed that use of the Diabetes Regional Coordination Path was the only factor associated with control of HbA1c < 7.0% (OR: 0.613, 95% CI: 0.395-0.951, p = 0.029).

CONCLUSIONS

The usage of the Diabetes Regional Coordination Path together with the Diabetes Coordination Notebook is associated not only with regular visits to both an ophthalmic clinic and a dental clinic but also with the maintenance of appropriate HbA1c.

Long-Term Effect of the Color Record Method in Self-Monitoring of Blood Glucose on Metabolic Parameters in Type 2 Diabetes: A 2-Year Follow-up of the Color IMPACT Study

INTRODUCTION

This article evaluates the potential long-term effect of two different color indication methods for self-monitoring of blood glucose (SMBG), the color record (CR) and color display (CD), on metabolic parameters in insulin-treated type 2 diabetes in a post-intervention period.

METHODS

101 participants with type 2 diabetes who completed the Color IMPACT study were enrolled in a 2-year comparison follow-up study. Participants continued SMBG with their usual diabetes care. The study outcomes were differences in change in HbA1c levels, blood pressure (BP), body weight and lipid profiles between the CR and non-CR arms and the CD and non-CD arms during a 1- and 2-year period of the study.

RESULTS

98 participants were analyzed. Reductions in HbA1c levels, systolic BP and low-density lipoprotein cholesterol levels were maintained in the CR arm by - 0.40% (95% CI: - 0.73 to - 0.06, p = 0.020), -1 3.2 mmHg (95% CI: - 24.1 to - 2.3, p = 0.019), - 11.4 mg/dl (95% CI: - 18.1 to - 4.6, p = 0.001), respectively, in a 1-year period. However, HbA1c and BP returned to the baseline levels during an additional 1-year period. In contrast, there were no significant changes in outcome in the CD arm during the study period.

CONCLUSION

Intervention promoting self-action such as the color record method in SMBG sustains a beneficial effect on metabolic parameters after the intervention. This long-term effect is helpful for people with type 2 diabetes to manage their diabetes ABCs (HbA1c, BP, cholesterol) and to prevent diabetic complications.

TRIAL REGISTRATION

UMIN clinical trials registry identifier, UMIN000006865.

Glycaemic control in Sudanese individuals with type 2 diabetes: Population based study

BACKGROUND

Diabetes mellitus (DM) is a major health problem in Sudan and is a leading cause of morbidity and mortality. The objective of this study was to determine the prevalence of glycaemic control among individuals with type 2 diabetes across different cities in Sudan.

METHODS

Individuals with type 2 diabetes attending selected diabetes centres in Sudan, who had been on treatment for DM for at least one year and volunteered to participate were included. Participants were interviewed using standardized pretested questionnaire to record medical history, sociodemographic and life style characteristics. Lipid profile and glycosylated hemoglobin were tested by calibrated laboratory methods. Blood pressure, Body mass index (BMI) and waist circumference were measured. Chi squared and logistic regression were used as statistical methods.

RESULTS

A total of 387 individuals with T2DM were included in this study (50.4% males and 49.6% females). The glycemic control indicator (HbAIc>7) was poor in 85% of patients. Factors associated with poor glycemic control were prolonged duration of diabetes (p=0.03), high plasma triglyceride (p=0.02), low high density lipoprotein (HDL) level (p=0.04) and low glomerular filtration rate (GFR) (P=0.01). Logistic regression analysis showed that low GFR is independent factor with poor diabetes control.

CONCLUSION

High prevalence of uncontrolled diabetes (85%) is noted in Sudanese individuals with type 2 diabetes.

A Potential Issue with Screening Prediabetes or Diabetes Using Serum Glucose: A Delay in Diagnosis

The aim of this study was to compare the fasting serum glucose level with the fasting plasma glucose level for diagnosing hyperglycemic states in real-life clinical situations. Additionally, we investigated a usual delay in sample processing and how such delays can impact the diagnosis of hyperglycemic states. Among 1,254 participants who had normoglycemia or impaired fasting glucose (IFG) assessed by the fasting serum glucose level, 20.9% were newly diagnosed with diabetes based on the plasma fasting glucose level. Of the participants with normoglycemia, 62.1% and 14.2% were newly diagnosed with IFG and diabetes, respectively, according to the plasma fasting glucose level. In our clinical laboratory for performing health examinations, the time delay from blood sampling to glycemic testing averaged 78±52 minutes. These findings show that the ordinary time delay for sample processing of the serum glucose for screening hyperglycemic states may be an important reason for these diagnoses to be underestimated in Korea.

Hba1c, Blood Pressure, and Lipid Control in People with Diabetes: Japan Epidemiology Collaboration on Occupational Health Study

Aims

The control of blood glucose levels, blood pressure (BP), and low-density lipoprotein cholesterol (LDL-C) levels reduces the risk of diabetes complications; however, data are scarce on control status of these factors among workers with diabetes. The present study aimed to estimate the prevalence of participants with diabetes who meet glycated hemoglobin (HbA1c), BP, and LDL-C recommendations, and to investigate correlates of poor glycemic control in a large working population in Japan.

Methods

The Japan Epidemiology Collaboration on Occupational Health (J-ECOH) Study is an ongoing cohort investigation, consisting mainly of employees in large manufacturing companies. We conducted a cross-sectional analysis of 3,070 employees with diabetes (2,854 men and 216 women) aged 20–69 years who attended periodic health examinations. BP was measured and recorded using different company protocols. Risk factor targets were defined using both American Diabetes Association (ADA) guidelines (HbA1c < 7.0%, BP < 140/90 mmHg, and LDL-C < 100 mg/dL) and Japan Diabetes Society (JDS) guidelines (HbA1c < 7.0%, BP < 130/80 mmHg, and LDL-C < 120 mg/dL). Logistic regression models were used to explore correlates of poor glycemic control (defined as HbA1c ≥ 8.0%).

Results

The percentages of participants who met ADA (and JDS) targets were 44.9% (44.9%) for HbA1c, 76.6% (36.3%) for BP, 27.1% (56.2%) for LDL-C, and 11.2% (10.8%) for simultaneous control of all three risk factors. Younger age, obesity, smoking, and uncontrolled dyslipidemia were associated with poor glycemic control. The adjusted odds ratio of poor glycemic control was 0.58 (95% confidence interval, 0.46–0.73) for participants with treated but uncontrolled hypertension, and 0.47 (0.33–0.66) for participants with treated and controlled hypertension, as compared with participants without hypertension. There was no significant difference in HbA1c levels between participants with treated but uncontrolled hypertension and those with treated and controlled hypertension.

Conclusion

Data from a large working population, predominantly composed of men, suggest that achievement of HbA1c, BP, and LDL-C targets was less than optimal, especially in younger participants. Uncontrolled dyslipidemia was associated with poor glycemic control. Participants not receiving antihypertensive treatment had higher HbA1c levels.

Increased postprandial apolipoprotein B-48 level after a test meal in diabetic patients: A multicenter, cross-sectional study

OBJECTIVE

To evaluate plasma apolipoprotein B (ApoB)-48 concentrations among Korean diabetic subjects with normal to moderately high levels of low-density-lipoprotein cholesterol (LDL-C).

METHODS

This multicenter, cross-sectional study included subjects with LDL-C levels between 100 and 160mg/dL who had not been treated with a lipid-lowering agent for over 6weeks prior to baseline. Blood tests to assess lipid-profile parameters were conducted in both fasting and postprandial states. This study compared ApoB-48 and other lipid-profile parameters in diabetic and nondiabetic subjects.

RESULTS

Of the 93 subjects enrolled, 88 (42 diabetic; 46 nondiabetic) completed the study. Significantly higher mean incremental area under curve (0-6h; iAUC0-6h) of postprandial ApoB-48 levels was noted among diabetic subjects than nondiabetic subjects (p=0.0078). The mean postprandial ApoB-48 peak level was higher in diabetic subjects; however, the difference was not statistically significant. The fasting ApoB-48 level was similar in both groups: 5.9 (3.5) in diabetics and 7.3 (5.8) in nondiabetics (p=0.18). The iAUC0-6h of postprandial total cholesterol (TC), triglyceride (TG), LDL-C, non-high-density-lipoprotein cholesterol (non-HDL-C), ApoB-100, and remnant cholesterol was similar in both groups. The ApoB-48 level was moderately correlated with TG and non-HDL-C for both groups (p<0.05).

CONCLUSION

Without lipid-lowering treatment, the postprandial increment in ApoB-48 level was significantly higher in Korean diabetic subjects compared with nondiabetic subjects, irrespective of similar LDL-C levels.

Fasting plasma glucose concentrations for specified HbA1c goals in Korean populations: data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-2, 2011)

AIMS

To examine the correlation between the fasting plasma glucose and HbA1c levels using regression equation and to assess the average fasting plasma glucose levels for the specific HbA1c (A1C) goals in the patients with diabetes using each A1C-and fasting plasma glucose-based diagnostic criteria.

METHODS

This study included data from 4481 participants with A1C and fasting plasma glucose, but with no diabetic medications in the Korean National Health and Nutritional Examination Survey 2011. The correlation between fasting plasma glucose and A1C was examined using linear regression models.

RESULTS

The A1C levels corresponding to the fasting plasma glucose of 5.5 and 7 mmol/L were 5.75 and 6.42 %. However, in the subjects with diabetes diagnosed by the A1C criteria only, 5.5 and 7 mmol/L in the fasting plasma glucose predicted A1C of 6.49 and 7.14 % respectively. The average fasting plasma glucose levels to achieve specified A1C levels of 5.0-5.9, 6.0-6.9, 7.0-7.9, 8.0-8.9, and 9.0-9.9 % were 5.1, 6.1, 7.7, 8.8 and 11.2 mmol/L, respectively.

CONCLUSIONS

The association between A1C and fasting plasma glucose levels is in concordance with the existing criteria for diagnosis of diabetes. However, the average fasting plasma glucose concentrations to achieve targeted A1C may be lower than those in western populations.