Heterogeneity of early-onset and ketosis-resistant diabetes in Korean subjects--is it possible to determine cut-off age of early-onset type 2 diabetes?

Clinical characteristics of patients with early-onset diabetes mellitus: a single-center retrospective study

BACKGROUND

The prevalence of diabetes mellitus (DM) is dramatically increasing around the world, and patients are getting younger with changes in living standards and lifestyle. This study summarized and analyzed the clinical characteristics of different types of newly diagnosed diabetes mellitus patients with an onset age between 18 and 40 years to provide clinical evidence for the early diagnosis and treatment of diabetes, reduce short-term and long-term complications and offer scientific and personalized management strategies.

METHODS

A total of 655 patients newly diagnosed with early-onset diabetes mellitus in the Department of Endocrinology, the First Medical Center of PLA General Hospital from January 2012 to December 2022 were retrospectively enrolled in this study, with an onset age of 18-40 years. Their clinical data were collected and investigated. All patients were divided into two groups according to whether they presented with diabetic microangiopathy. Similarly, patients with early-onset type-2 diabetes were grouped in accordance with whether they had ketosis at the time of diagnosis. Binary logistic regression analysis was performed to analyze risk factors, and receiver-operating characteristic (ROC) analysis was used to explore the predictive value of significant risk factors.

RESULTS

The findings were as follows: (1) Of 655 enrolled patients, 477 (72.8%) were male and 178 (27.1%) were female, with a mean age of onset of was 29.73 years ± 0.24 SD. (2) The prevalence of early-onset diabetes was gradually increasing. Type-2 diabetes was the most common type of early-onset diabetes (491, 75.0%). The ages of onset of early-onset type-1 diabetes, type-2 diabetes and LADA were mainly 18-24 years, 25-40 years and 33-40 years, respectively. (3) Initial clinical manifestations of early-onset diabetes were classic diabetes symptoms (361, 55.1%), followed by elevated blood glucose detected through medical examination (207, 31.6%). (4) Binary logistic regression analysis suggested that high serum uric acid (UA), a high urinary albumin-to-creatinine ratio (UACR) and diabetic peripheral neuropathy (DPN) were risk factors for microangiopathy in early-onset diabetes patients (P < 0.05). The area under the curve (AUC) on ROC analysis of the combination of UA, UACR and DPN was 0.848, 95% CI was 0.818 ~ 0.875, sensitivity was 73.8% and specificity was 85.9%, which had higher predictive value than those of UA, UACR and DPN separately. (5) Weight loss, high glycosylated hemoglobin (HbA1c) and young onset age were risk factors for ketosis in patients with early-onset type-2 diabetes (P < 0.05).

CONCLUSION

(1) Men were more likely to have early-onset diabetes than women. (2) Early-onset diabetes patients with high serum uric acid levels, high UACRs and peripheral neuropathy were prone to microangiopathy. Comprehensive evaluation of these risk factors could have higher predictive value in the prediction, diagnosis and treatment of microvascular lesions. (3) Patients with weight loss at onset, high HbA1c and young onset age were more likely to develop ketosis. Attention should be given to the metabolic disorders of these patients.

Questionnaire-based Survey of Demographic and Clinical Characteristics, Health Behaviors, and Mental Health of Young Korean Adults with Early-onset Diabetes

BACKGROUND

The incidence of early-onset diabetes is increasing among young adults. However, there are limited data on the characteristics and management of young Korean adults with diabetes. This study assessed the clinical and demographic characteristics, health behaviors, and mental health among young Korean adults with diabetes mellitus.

METHODS

This cross-sectional study included young Korean adults with diabetes (n = 225) with an onset age of 20-39 years from four university hospitals. Demographic characteristics, management of diabetes, and mental health were assessed using a questionnaire survey.

RESULTS

Type 2 diabetes was the most common type (73.3%), and 13.8% of participants were classified as other types or unknown. Approximately, 64.7% of participants had a strong family history of diabetes, and 76% had treatment within three months of diagnosis. Approximately, 11.1% of participants had diabetic complications; 39.1% of participants received insulin injections, including oral anti-diabetic medications. Additionally, 30.4% were smokers, and only 28% had active physical activity; 26.5% of participants had >3 hours of screen time. One third of participants never had breakfast, and 60.5% went out to eat at least three times a week. Half of the participants showed moderate to severe stress perception, and 21.4% of patients had moderate to severe levels of depression based on the Korean version of Beck Depression Inventory score.

CONCLUSION

Early-onset diabetes was associated with a strong family history and early insulin treatment. Young adults with diabetes had poor health behaviors and frequent mental depression. These findings suggest the necessity of health policies for improving health behaviors and mental distress.

Distinct Predictors and Comorbidities in Early Onset Type 2 Diabetes Mellitus Among Asian Indians

BACKGROUND

The incidence of type 2 diabetes mellitus (T2DM) is increasing worldwide, and the age of disease onset is falling. Although there is rising prevalence of early onset T2DM in India, little is known about their clinical characteristics and cardiovascular risks profiles. The aim of this study was to address this knowledge gap by comparing the characteristics of early onset T2DM and usual onset T2DM patients from our clinic population in India.

METHODS

We studied the clinical and biochemical parameters of 98 consecutive early onset T2DM patients of age <45 and <5 years of disease duration and compared those parameters with 86 consecutive usual onset T2DM patients of age >50 years and similar disease duration.

RESULTS

There was a strong component of family history of T2DM in early onset T2DM patients; however, no difference was observed in body mass index or waist circumference between the groups. When compared with usual onset group, the early onset T2DM patients were more hypertriglycedemic, with higher total cholesterol, higher total cholesterol/high-density lipoprotein (HDL) ratio, higher low-density lipoprotein levels, and lower HDL cholesterol. Early onset T2DM patients showed significantly worse glycemic control and rapid decline in insulin secretion compared with usual onset T2DM patients.

CONCLUSIONS

Our results demonstrate that early onset T2DM in Asian Indians appears to be a disease phenotype with adverse risk factors having poor glycemic control and longer disease duration demanding strategies for novel clinical management.

Adolescent build plotting on body composition chart and the type of diabetes mellitus

Although the prevalence of type 2 diabetes is increasing, there are cases difficult to categorize into certain type in pediatric diabetic patients. The aims of this study were to detect and choose a proper treatment modality for atypical cases of diabetes mellitus, using the body composition chart. We conducted a retrospective study from August 2005 to 2012 with patients who visited Konkuk University Medical Center, and were diagnosed with diabetes mellitus. The medical records were reviewed for the anthropometric data and indices of body composition. The subjects were grouped by the type of diabetes and gender. We constructed a body composition chart plotting fat free mass index and fat mass index (FMI). Body mass index and all body composition indices were higher in type 2 diabetes, in each gender in analysis with Mann-Whitney test. Significant determinant of diabetes type was revealed as FMI and contributing factors on FMI were analyzed with regression analysis. Six atypical cases were identified by a body composition chart including non-obese type 2 diabetes showing suboptimal growth with lower BMI related to relatively lower insulin secretion and type 1 diabetes with insulin resistance resulted from obesity. Body composition chart analysis might be useful in characterization of diabetes type and detection of atypical cases and early adjustment of diabetes management strategy.

Predictive characteristics of patients achieving glycaemic control with insulin after sulfonylurea failure

AIM

We investigated the clinical and metabolic parameters in type 2 diabetic patients who were inadequately controlled on sulfonylurea (SU) before initiating insulin therapy to characterise patients who are likely to achieve target glycaemic control with insulin analogues.

METHODS

A total of 120 Korean patients aged ≥ 40 years with insulin-naïve, poorly controlled, SU-treated type 2 diabetes were randomised on the basis of SU dose, and obesity with 1 : 1 ratio of insulin detemir (long-acting analogue; LAA) and 70% insulin aspart protamine and 30% insulin aspart (biphasic insulin analogue; BIA). Patients who failed to reach ≤ 20% glycated albumin (GA) at 3 weeks were switched to therapy with a twice-daily BIA for 16 weeks.

RESULTS

Mean HbA(1c) , GA, fasting and stimulated plasma glucose levels were significantly reduced after 16 weeks compared with the baseline in all groups, and 40% of patients reached the target HbA(1c) ( ≤ 7%). Compared with responders, non-responders had significantly longer duration of diabetes and higher dose of glimepiride. However, there was no significant difference in insulin secretory profiles between responders and non-responders. Clinical factors such as diabetes duration, SU dose and BMI were independently associated with inadequate response to insulin analogues in patients with secondary failure.

CONCLUSIONS

In type 2 diabetics with secondary SU failure, clinical parameters such as duration of diabetes (< 10 years), SU dose ( ≤ 4 mg) and BMI should be taken into consideration as important factors than laboratory indices related to β-cell function when predicting the response to insulin analogues.