Prevalence and Gender Differences of Metabolic Syndrome in Young Ketosis-Prone Type 2 Diabetic Individuals: A Retrospective Study

One third of cases of new-onset diabetic ketosis in adults are associated with ketosis-prone type 2 diabetes-A systematic review and meta-analysis

AIMS

Ketosis-prone type 2 diabetes was defined by the World Health Organization in 2019. According to the literature, the diagnosis is based on the presence of ketosis, islet autoantibody negativity and preserved insulin secretion. Our meta-analysis assessed the prevalence and clinical characteristics of ketosis-prone type 2 diabetes among patients hospitalised with diabetic ketoacidosis (DKA) or ketosis.

METHODS

The systematic search was performed in five main databases as of 15 October 2021 without restrictions. We calculated the pooled prevalence of ketosis-prone type 2 diabetes (exposed group) within the diabetic population under examination, patients with ketoacidosis or ketosis, to identify the clinical characteristics, and we compared it to type 1 diabetes (the comparator group). The random effects model provided pooled estimates as prevalence, odds ratio and mean difference (MD) with 95% confidence intervals.

RESULTS

Eleven articles were eligible for meta-analysis, thus incorporating 2010 patients of various ethnic backgrounds. Among patients presenting with DKA or ketosis at the onset of diabetes, 35% (95% CI: 24%-49%) had ketosis-prone type 2 diabetes. These patients were older (MD = 11.55 years; 95% CI: 5.5-17.6) and had a significantly higher body mass index (BMI) (MD = 5.48 kg/m2 ; 95% CI: 3.25-7.72) than those with type 1 diabetes.

CONCLUSIONS

Ketosis-prone type 2 diabetes accounts for one third of DKA or ketosis at the onset of diabetes in adults. These patients are characterised by islet autoantibody negativity and preserved insulin secretion. They are older and have a higher BMI compared with type 1 diabetes. C-peptide and diabetes-related autoantibody measurement is essential to identify this subgroup among patients with ketosis at the onset of diabetes.

Evaluation of Self-Management Behaviors and Its Correlation with the Metabolic Syndrome among the Type 2 Diabetes Mellitus Patients of Northern Saudi Arabia

Self-management behavior among diabetes patients is essential to monitor blood sugar levels, make necessary lifestyle changes, and help patients reduce their risk of complications from diabetes. We assessed the prevalence of metabolic syndrome (MS) and its association with self-management behavior and sociodemographic characteristics among 310 patients with type 2 diabetes mellitus (T2DM) attending different diabetes care centers in northern Saudi Arabia. We evaluated the self-management behaviors of patients with T2DM using a validated Arabic version of the Summary of Diabetes Self-Care Activities Scale. Regarding MS, we applied the National Cholesterol Education Program (NCEP) Adult Treatment Plan-3 (ATP-3) guidelines. A logistic regression analysis was used to identify the predictors of MS. We found that more than one-third (36.5%) of patients had MS according to the NCEP ATP-3 criteria. The prevalence of MS was significantly associated with unsatisfactory self-management behaviors. Regarding sociodemographic predictors for MS, we found a significant association between gender (ref: female: Adjusted OR (AOR) = 1.89, 95%CI = 1.17-2.95, p = 0.007) and body mass index (ref.: normal range: AOR = 2.98, 95%CI = 1.31-5.07, p = 0.003). Our findings suggest a tailor-made multifaceted intervention to improve the self-management behaviors of T2DM patients, which, in turn, can reduce MS.

High Atherogenic Risk in Ketosis-Prone Type 2 Diabetic Individuals with Ketosis Episodes: A Cross-Sectional Study

Purpose

Diabetes is an important contributor to the progression of atherosclerosis (AS). We aimed to investigate the correlation between ketosis episodes and lipid-related parameters in patients with new-onset ketosis-prone type 2 diabetes (KPT2D), further attempting to assess the impact of ketosis episodes on AS.

Patients and Methods

A cross-sectional study of 147 subjects with new-onset diabetes was performed, including 65 KPT2D subjects (KPT2D group) and 82 non-ketotic type 2 diabetes (T2D) (T2D group) subjects. Anthropometric and biochemical parameters were measured in all subjects. Calculation of atherogenic index of plasma (AIP) by traditional lipid parameters.

Results

The AIP (P = 0.008) level and the percentage of AIP ≥ 0.24 (P = 0.026) in subjects with KPT2D were higher than in subjects with T2D. The apoA1 (P = 0.001) levels were significantly lower in patients with KPT2D than in patients with T2D. In the KPT2D group, plasma ketones were positively correlated with AIP (P = 0.023) and negatively correlated with apoA1 (P = 0.002). Univariate logistic regression suggested that plasma ketone (OR = 1.704, P = 0.040) was an important related factor for the AS in subjects with KPT2D. Multiple linear regression suggested plasma ketone was significantly positive with AIP (β = 0.437, P = 0.020). In multiple linear regression analysis suggests that apolipoprotein A1 (β = -0.335, P = 0.033) is strongly associated with ketotic episodes in newly diagnosed ketosis-prone type 2 diabetic patients.

Conclusion

Ketosis episodes in patients with KPT2D were significantly and positively associated with elevated AIP levels and reduced apoA1 levels. Frequent ketosis episodes may accelerate the progression of AS.

Development and Validation of a Risk Prediction Model for Ketosis-Prone Type 2 Diabetes Mellitus Among Patients Newly Diagnosed with Type 2 Diabetes Mellitus in China

Background

We established a nomogram for ketosis-prone type 2 diabetes mellitus (KP-T2DM) in the Chinese adult population in order to identify high-risk groups early and intervene in the disease progression in a timely manner.

Methods

We reviewed the medical records of 924 adults with newly diagnosed T2DM from January 2018 to June 2021. All patients were randomly divided into the training and validation sets at a ratio of 7:3. The least absolute shrinkage and selection operator regression analysis method was used to screen the predictors of the training set, and the multivariable logistic regression analysis was used to establish the nomogram prediction model. We verified the prediction model using the receiver operating characteristic (ROC) curve, judged the model's goodness-of-fit using the Hosmer-Lemeshow goodness-of-fit test, and predicted the risk of ketosis using the decision curve analysis.

Results

A total of 21 variables were analyzed, and four predictors-hemoglobin A1C, 2-hour postprandial blood glucose, 2-hour postprandial C-peptide, and age-were established. The area under the ROC curve for the training and validation sets were 0.8172 and 0.8084, respectively. The Hosmer-Lemeshow test showed that the prediction model and validation set have a high degree of fit. The decision curve analysis curve showed that the nomogram had better clinical applicability when the threshold probability of the patients was 0.03-0.79.

Conclusion

The nomogram based on hemoglobin A1C, 2-hour postprandial blood glucose, 2-hour postprandial C-peptide, and age has good performance and can serve as a favorable tool for clinicians to predict KP-T2DM.

Correlation between Component Factors of Non-Alcoholic Fatty Liver Disease and Metabolic Syndrome in Nurses: An Observational and Cross-Sectional Study

This study aimed to understand the correlation between non-alcoholic fatty liver disease (NAFLD) and metabolic syndrome in nurses. Questionnaires were used to eliminate individuals with a daily drinking habit, hepatitis B or C, or incomplete data. A total of 706 valid samples were obtained. The prevalence of NAFLD among nurses was 36.8%. Nurses with a greater age (OR = 1.08, 95% CI: 1.01-1.16), obese BMI (OR = 23.30, 95% CI: 8.88-61.10), overweight BMI (OR = 3.89, 95% CI: 2.15-7.04), waist circumference exceeding the standard (OR = 2.10, 95% CI: 1.14-3.87), fasting blood glucose 100-125 mg/dL (OR = 4.09, 95% CI: 1.19-14.03), and overly low HDL-C (OR = 2.01, 95% CI: 1.05-3.85) were at greater risk of NAFLD. Furthermore, male nurses (OR = 6.42, 95% CI: 1.07-38.70), nurses with triglycerides over 150 mg/dL (OR = 4.80; 95% CI: 1.05-21.95), and nurses with HDL-C lower than the standard (OR = 5.63, 95% CI: 1.35-23.49) were at greater risk of moderate/severe NAFLD. Among younger nurses, those of greater age, male nurses, obese and overweight nurses, and those with a waist circumference exceeding the standard, 100-125 mg/dL, overly low HDL-C, and triglycerides over 150 mg/dL should consider the possibility that they have NAFLD.

Association Between Serum Vitamin D Levels and Ketosis Episodes in Hospitalized Patients with Newly Diagnosed Ketosis-Prone Type 2 Diabetes

PURPOSE

This study aimed to investigate the relationship between 25-hydroxyvitamin D (25OHD) and the onset of ketosis in newly diagnosed patients with ketosis-prone type 2 diabetes (KPT2D).

PATIENTS AND METHODS

A total of 162 patients with non-autoimmune newly diagnosed diabetes mellitus were included in this cross-sectional study. Patients were classified into KPT2D (n = 71) or non-ketotic type 2 diabetes (NKT2D, n = 91). Anthropometric parameters, islet functions, biochemical parameters, and body composition were determined in both KPT2D and NKT2D groups. Correlation analysis was performed to determine the associations between 25OHD and plasma ketones. The risk factors associated with ketosis episodes in patients with new-onset KPT2D were evaluated using binary logistic regression analysis.

RESULTS

Vitamin D deficiency was observed in both patients with KPT2D and NKT2D. Compared with the NKT2D group, serum 25OHD values were lower in the participants of the KPT2D group [14.20 (10.68, 19.52) vs 16.98 (13.54,2.96) ng/mL, P = 0.011]. Serum 25OHD was associated with plasma ketones (R = -0.387). Serum 25OHD is an independent protective factor for ketosis or ketoacidosis episodes in patients with new onset of KPT2D (P = 0.037, OR = 0.921).

CONCLUSION

Vitamin D levels are associated with ketosis episodes in patients with KPT2D. Serum 25OHD is an independent protective factor for ketosis episodes in patients with KPT2D.

Elevated Serum Triglycerides are Associated with Ketosis-Prone Type 2 Diabetes in Young Individuals

PURPOSE

Ketosis-prone type 2 diabetes (KPT2D) is increasingly recognized in young adults. However, the role of blood lipids in KPT2D, especially serum triglycerides (TGs), is not yet clearly understood.

PATIENTS AND METHODS

We retrospectively evaluated 409 young patients diagnosed with KPT2D or classical type 2 diabetes (T2D) attending an academic tertiary hospital. Clinical characteristics and laboratory findings were compared between KPT2D and T2D patients. ANOVA or a non-parametric test analyses were used to evaluate differences in clinical characteristics and laboratory findings. Multivariate regression analyses and stratified analyses were used to further investigate differences in serum TGs levels between KPT2D and T2D individuals.

RESULTS

KPT2D is a subtype of T2D with traits of overweight or obesity. However, hyperglycemia and impaired β-cell functions were more severe in KPT2D patients. Serum TGs levels were significantly higher (P = 0.0003) in KPT2D individuals. Furthermore, the proportion of very high serum TGs levels was 6-fold higher (P < 0.0001) in KPT2D than in T2D patients. Elevated serum TGs were associated with young KPT2D patients.

CONCLUSION

Lifestyle changes as well as lipid-lowering treatments might be effective in lowering the incidence of ketosis as well as stabilizing disease progression.