Effect of dipeptidyl peptidase-4 inhibitor on the progression of coronary artery disease evaluated by computed tomography in patients receiving insulin therapy for type 2 diabetes mellitus

BACKGROUND

We evaluated the effect of a dipeptidyl peptidase-4 inhibitor (DPP-4i) on the progression of obstructive coronary artery disease (OCAD) in patients with type 2 diabetes mellitus (T2DM) receiving insulin therapy.

METHODS

Using a multicenter clinical data warehouse, we analyzed the patients receiving insulin therapy for T2DM who underwent coronary computed tomography angiography (CCTA) for ≥2 times. The patients were divided into two groups according to the presence of DPP-4i prescription between the two CCTA examinations. The prevalence of OCAD (>50% stenosis on CCTA), new revascularization rates, and changes in the coronary calcium score (CCS) were analyzed.

RESULTS

A total of 623 patients were included, and a DPP-4i was prescribed to 380 (60.9%) patients. The median time difference between the two CCTAs was 39.0 (17.0-61.4) months. Newly developed OCAD at the follow-up CCTA was detected in 62 (16.3%) patients in the DPP-4i group and 76 (31.3%) patients in the no DPP-4i group (p < 0.001). The risk of new OCAD or new revascularization was lower in the DPP-4i group (19.7% vs. 38.7%; p < 0.001). After propensity score matching, the prevalence of new OCAD (15.9% vs. 29.5%; p = 0.001) and the composite rate of new OCAD or new revascularization (18.7% vs. 37.3%; p < 0.001) were lower in the DPP-4i group. The change in CCS per year did not differ significantly between the two groups (9.1 [0.1-56.8] vs. 13.5 [0.0-78.6]; p = 0.715).

CONCLUSIONS

Add-on DPP-4i therapy would be beneficial in preventing coronary artery disease progression in patients with T2DM receiving insulin therapy.

The effect of diabetes mellitus on tuberculosis in eastern China: A decision-tree analysis based on a real-world study

OBJECTIVES

The public health system faces major challenges due to the double burden of diabetes mellitus (DM) and tuberculosis (TB) in China. We aimed to investigate the prevalence and impact of diabetes on patients with TB.

METHODS

Stratified cluster sampling was used to select 13 counties as study sites in the Zhejiang province. Patients who visited designated TB hospitals in these areas participated in this study between 1 January 2017 and 28 February 2019. Multiple logistic regression models were performed to investigate the association between DM and bacteriological and imaging results. A decision tree was used to predict the bacteriology and imaging results under the influence of DM.

RESULTS

Of 5920 patients with newly diagnosed pulmonary tuberculosis, 643 (12.16%) had DM. Patients with pulmonary TB and DM were more likely to have pulmonary cavities (adjusted odds ratio [aOR], 2.81; 95% confidence intervals [95% CI]: 2.35-3.37) and higher rates of positive bacteriological tests (aOR, 2.32; 95% CI:1.87-2.87). Decision-tree analysis showed similar results.

CONCLUSIONS

Concurrence of DM and pulmonary TB makes patients more likely to have positive bacteriological results and pulmonary cavities. Therefore, appropriate measures are necessary to promptly identify and manage patients with TB and DM.

Associations of blood biomarkers with arterial stiffness in patients with diabetes mellitus: A population-based study

BACKGROUND

Arterial stiffness contributes to additional cardiovascular risks in diabetic patients by triggering the loss of vascular and myocardial compliance and promoting endothelial dysfunction. Thus, prevention of arterial stiffness is a public health priority, and the identification of potential biomarkers may provide benefits for early prevention. This study investigates the relationships between serum laboratory tests and pulse wave velocity (PWV) tests. We also investigated the associations between PWV and all-cause mortality.

METHODS

We examined a panel of 33 blood biomarkers among diabetic populations in the Atherosclerosis Risk in Communities Study. The carotid-femoral (cfPWV) and femoral-ankle PWV (faPWV) were measured using an automated cardiovascular screening device. The aortic-femoral arterial stiffness gradient (afSG) was calculated as faPWV divided by cfPWV. Biomarker levels were log-transformed and correlated with PWV. Cox proportional hazard models were employed for survival analysis.

RESULTS

Among 1079 diabetic patients, biomarkers including high-density lipoprotein cholesterol, glycated hemoglobin, high-sensitivity troponin T, cystatin C, creatinine, and albuminuria were significantly correlated with afSG (R = 0.078, -0.193, -0.155, -0.153, -0.116, and -0.137, respectively) and cfPWV (R = -0.068, 0.175, 0.128, 0.066, 0.202, and 0.062, respectively). Compared with the lowest tertile of afSG, the risk of all-cause mortality was lower in the highest tertile (hazard ratio 0.543; 95% confidence interval 0.328-0.900).

CONCLUSION

Certain biomarkers related to blood glucose monitoring, myocardial injury, and renal function significantly correlated with PWV, suggesting that these putative risk factors are likely to be important atherosclerosis mechanisms in diabetic patients. AfSG may be an independent predictor of mortality among diabetic populations.

Association between serum LDL-C concentrations and risk of diabetes: A prospective cohort study

BACKGROUND

Low-density lipoprotein cholesterol (LDL-C) and diabetes mellitus are both modifiable risk factors for cardiovascular disease; however, whether elevated LDL-C levels confer a risk for diabetes remains unclear.

OBJECTIVE

We aimed to examine the association between serum LDL-C concentrations at baseline and the risk of developing diabetes at follow-up in the general population of Chinese adults.

METHODS

This study included 5274 adults aged ≥ 40 years from a community cohort who were without diabetes and followed for a median of 4.4 years. A standard 75-g oral glucose tolerance test was conducted at baseline and follow-up visits to diagnose diabetes. Logistic regression models and a restricted cubic spline were used to examine the association between baseline serum LDL-C levels and the risk of diabetes development. Subgroup analyses were conducted stratifying on age, sex, body mass index, hypertension, family history of diabetes, and LDL-C levels.

RESULTS

A total of 652 participants (12%) developed diabetes during the follow-up period. Compared to quartile 1 of serum LDL-C, quartiles 2, 3, and 4 were associated with a 30%, 33%, and 30% significantly higher risk of diabetes, respectively after adjustment for confounders including homeostatic model assessment for insulin resistance. The linear relationship between baseline LDL-C down to 30.1 mg/dL and incident diabetes was demonstrated by restricted cubic spline analysis, and each 1-SD increase in LDL-C concentration (28.5 mg/dL) was associated with a 12% increase in the risk of diabetes (odds ratio 1.12, 95% confidence interval 1.03-1.22).

CONCLUSION

In this community-based general population, higher serum LDL-C levels were linearly associated with an elevated risk of incident diabetes.

Mechanisms of bariatric surgery for weight loss and diabetes remission

Obesity and type 2 diabetes(T2D) lead to defects in intestinal hormones secretion, abnormalities in the composition of bile acids (BAs), increased systemic and adipose tissue inflammation, defects of branched-chain amino acids (BCAAs) catabolism, and dysbiosis of gut microbiota. Bariatric surgery (BS) has been shown to be highly effective in the treatment of obesity and T2D, which allows us to view BS not simply as weight-loss surgery but as a means of alleviating obesity and its comorbidities, especially T2D. In recent years, accumulating studies have focused on the mechanisms of BS to find out which metabolic parameters are affected by BS through which pathways, such as which hormones and inflammatory processes are altered. The literatures are saturated with the role of intestinal hormones and the gut-brain axis formed by their interaction with neural networks in the remission of obesity and T2D following BS. In addition, BAs, gut microbiota and other factors are also involved in these benefits after BS. The interaction of these factors makes the mechanisms of metabolic improvement induced by BS more complicated. To date, we do not fully understand the exact mechanisms of the metabolic alterations induced by BS and its impact on the disease process of T2D itself. This review summarizes the changes of intestinal hormones, BAs, BCAAs, gut microbiota, signaling proteins, growth differentiation factor 15, exosomes, adipose tissue, brain function, and food preferences after BS, so as to fully understand the actual working mechanisms of BS and provide nonsurgical therapeutic strategies for obesity and T2D.

Longer leukocyte telomere length increases cardiovascular mortality in type 2 diabetes patients

AIMS

Leukocyte telomere length (LTL), as a biomarker of biological aging, is associated with the prevalence and complications of diabetes. This study aims to investigate the associations between LTL and all-cause and cause-specific mortality in patients with type 2 diabetes.

METHODS

All participants with baseline LTL records were included from the National Health and Nutrition Examination Survey 1999-2002. Death status and its causes were ascertained for National Death Index based on International Classification of Diseases, Tenth Revision code. Cox proportional hazards regression models were established to estimate the hazard ratios (HRs) of LTL associating with all-cause and cause-specific mortality.

RESULTS

The study enrolled 804 diabetic patients with the mean follow-up of 14.9 ± 2.59 years. There were 367 (45.6%) all-cause deaths, 80 (10.0%) cardiovascular deaths, and 42 (5.2%) cancer-related deaths. Longer LTL was associated with reduced all-cause mortality, whereas this association disappeared after adjusting for other variables. Compared with the lowest tertiles of LTL, the multivariable-adjusted hazard ratio of cardiovascular mortality was 2.11 (95% confidence interval [CI] 1.31-3.39; p < .05) in the highest tertiles. In terms of cancer mortality, the highest tertile was negatively correlated with the risk of cancer mortality (HR 0.58 [95% CI 0.37, 0.91], p < .05).

CONCLUSION

In conclusion, LTL was independently associated with the risk of cardiovascular mortality in patients with type 2 diabetes and was negatively correlated with the risk of cancer mortality. Telomere length may be a predictor of cardiovascular mortality in diabetes.

Remnant cholesterol is independently associated with diabetes, even if the traditional lipid is at the appropriate level: A report from the REACTION study

BACKGROUND

The association between remnant cholesterol (RC) and diabetes remains unclear because of limited study and data. This study attempted to explore the association between RC and diabetes in a large sample, multicenter general population.

METHODS

The current study included 36 684 participants from eight provinces across China. Subjects were quartered according to the RC quartile. Logistic regression analysis was used to evaluate the association between RC and diabetes.

RESULTS

After adjusting for potential confounding factors, RC was still significantly associated with diabetes (Q4: odds ratio [OR]:1.147, 95% confidence interval [CI]: 1.049-1.254, p = .003). In addition, RC and diabetes were still significantly associated when triglycerides (TG) were <1.7 mmol/L (Q4: OR: 1.155, 95% CI: 1.005-1.327, p = .042), low-density lipoprotein cholesterol (LDL-C) <3.4 mmol/L (Q4: OR: 1.130, 95% CI: 1.011-1.264, p = .032), or HDL-C (high-density lipoprotein cholesterol) ≥1.0 mmol/L (Q4: OR: 1.116, 95% CI: 1.007-1.237, p = .037). In the stratification analysis, elevated RC was significantly associated with diabetes in subjects with systolic blood pressure (SBP) <140 mm Hg and diastolic blood pressure (DBP) <90 mm Hg, 60 ≤ estimated glomerular filtration rate (eGFR) ≤90 ml/min per 1.73 m² , younger than 55 years old and female.

CONCLUSION

In the Chinese community, RC is significantly correlated with diabetes, even when TG, LDL-C, or HDL-C were controlled within the appropriate range recommended by the guidelines.

Noninsulin-based antihyperglycemic medications in patients with diabetes and COVID-19: A systematic review and meta-analysis

BACKGROUND

Patients with diabetes are more likely to suffer COVID-19 complications. Using noninsulin antihyperglycemic medications (AGMs) during COVID-19 infection has proved challenging. In this study, we evaluate different noninsulin AGMs in patients with COVID-19.

METHODS

We searched Medline, Embase, Web of Science, and Cochrane on 24 January 2022. We used the following keywords (COVID-19) AND (diabetes mellitus) AND (antihyperglycemic agent). The inclusion criteria were studies reporting one or more of the outcomes. We excluded non-English articles, case reports, and literature reviews. Study outcomes were mortality, hospitalization, and intensive care unit (ICU) admission.

RESULTS

The use of metformin rather than other glucose-lowering medications was associated with statistically significant lower mortality (risk ratio [RR]: 0.60, 95% confidence interval [CI]: 0.47, 0.77, p < .001). Dipeptidyl peptidase-4 inhibitor (DPP-4i) use was associated with statistically significantly higher hospitalization risk (RR: 1.44, 95% CI: 1.23, 1.68, p < .001) and higher risk of ICU admissions and/or mechanical ventilation vs nonusers (RR: 1.24, 95% CI: 1.04, 1.48, p < .02). There was a statistically significant decrease in hospitalization for SGLT-2i users vs nonusers (RR: 0.89, 95% CI: 0.84-0.95, p < .001). Glucagon-like peptide-1 receptor agonist (GLP-1RA) use was associated with a statistically significant decrease in mortality (RR: 0.56, 95% CI: 0.42, 073, p < 0.001), ICU admission, and/or mechanical ventilation (RR: 0.79, 95% CI: 0.69-0.89, p < .001), and hospitalization (RR: 0.73, 95% CI: 0.54, 0.98, p = .04).

CONCLUSIONS

AGM use was not associated with increased mortality. However, metformin and GLP-1RA use reduced mortality risk statistically significantly. DPP-4i use was associated with a statistically significant increase in the risk of hospitalization and admission to the ICU.

Obesity mediates the opposite association of education and diabetes in Chinese men and women: Results from the REACTION study

BACKGROUND

Evidence regarding the impact of education on diabetes risk is scarce in developing countries. We aimed to explore the association between education and diabetes within a large population in China and to identify the possible mediators between them.

METHODS

Information on educational level and lifestyle factors was collected through questionnaires. Diabetes was diagnosed from self-report and biochemical measurements. A structural equation model was constructed to quantify the mediation effect of each mediator.

RESULTS

Compared with their least educated counterparts, men with college education had a higher risk of diabetes (odds ratio [OR] 1.19; 95% confidence interval [CI], 1.12-1.27), while college-educated women were less likely to have diabetes (OR 0.77; 95% CI, 0.73-0.82). Obesity was the strongest mediator in both genders (proportion of mediation: 11.6% in men and 23.9% in women), and its association with education was positive in men (β[SE] 0.0387 [0.0037]) and negative in women (β[SE] -0.0824 [0.0030]). Taken together, all behavioral factors explained 12.4% of the excess risk of diabetes in men and 33.3% in women.

CONCLUSIONS

In a general Chinese population, the association between education level and diabetes was positive in men but negative in women. Obesity was the major mediator underlying the education disparities of diabetes risk, with a stronger mediation effect among women.

Differences in receipt of recommended eye examinations by comorbidity status and healthcare utilization among nonelderly adults with diabetes

BACKGROUND

To evaluate the effect of diabetes comorbidities by baseline healthcare utilization on receipt of recommended eye examinations.

METHODS

Retrospective analysis of 310 691 nonelderly adults with type 2 diabetes in the IBM MarketScan Commercial Database from 2016 to 2019. Patients were grouped based on diabetes-concordant (related) or -discordant (unrelated) comorbidities. Logistic regression was used to estimate the prevalence ratio (PR) for eye examinations by comorbidity status, healthcare utilization, and an interaction between comorbidities and utilization, controlling for age, sex, region, and major eye disease.

RESULTS

Prevalence of biennial eye examinations varied by the four comorbidity groups: 43.5% (diabetes only), 52.7% (concordant + discordant comorbidities), 48.0% (concordant comorbidities only), and 45.3% (discordant comorbidities only). In the lowest healthcare utilization tertile, the concordant-only and concordant + discordant groups had lower prevalence of examinations compared to diabetes only (PR 0.95 [95% CI 0.92-0.98] and PR 0.91 [95% CI 0.88-0.95], respectively). In the medium utilization tertile, the discordant-only and concordant + discordant groups had lower prevalence of examinations (PR 0.89 [0.83-0.95] and PR 0.94 [0.90-0.98], respectively). In the highest utilization tertile, the concordant-only and concordant + discordant groups had higher prevalence of examinations.

CONCLUSIONS

Among patients with low healthcare utilization, having comorbid conditions is associated with lower prevalence of eye examinations. Among those with medium healthcare utilization, patients with diabetes-discordant comorbidities are particularly vulnerable. This study highlights populations of diabetes patients who would benefit from increased assistance in receiving vision-preserving eye examinations.

Temporal trends in patients with peripheral artery disease influenced by diabetes mellitus in Germany

INTRODUCTION

In patients with peripheral artery disease (PAD) the presence of diabetes mellitus (DM) is associated with higher morbidity and mortality. Because huge efforts are made to improve medical care of patients with DM including chronic disease programs, the aim of the present study was to investigate temporal trends regarding the clinical burden of DM on PAD patients within a 15-year observational period.

METHODS

We analyzed all patients hospitalized because of PAD between 2005 and 2019 in Germany stratified regarding DM.

RESULTS

Overall, 2 654 871 hospitalizations of PAD patients (865 823 with DM) were included. Hospitalizations based on PAD inclined from 142 778 in 2005 to 190 135 in 2019 (β 3956 per year; 95% confidence interval [CI] 3034-4878, p < .001) with simultaneous increase of hospitalizations of PAD patients with DM (2005: 41609 (29.1%) versus 2019: 65 302 (34.3%); β 2019 per year [95% CI 1593-2446], p < .001). Amputation rates (β -0.42 [95% CI -0.44 to -0.40]; p < .001) as well as in-hospital case-fatality rate (2005: 4.7%, 2019: 2.8%; β -0.64 [95% CI -0.69 to -0.59]; p < .001) decreased in diabetic PAD patients during the observational time. In spite of improved morbidity and mortality in the last years of the observational period, patients with DM still suffered from an increased risk for morbidity and mortality during the observational period compared to nondiabetic PAD patients.

CONCLUSIONS

Despite the progress in DM treatments, DM still was associated with an unfavorable clinical patient profile and remained a substantial risk factor for morbidity and mortality in hospitalized patients with PAD and DM in Germany between 2005 and 2019.

Retrospective cohort analysis comparing changes in blood glucose level and body composition according to changes in thyroid-stimulating hormone level

BACKGROUND

In the euthyroid state, the risk of developing diabetes according to changes in thyroid-stimulating hormone (TSH) levels remains controversial. Additionally, the correlation of various body indices affecting blood glucose levels according to changes in TSH levels over a certain period is not well known.

METHODS

Patients who underwent health check-ups twice at a 2 year interval at a tertiary university hospital between 2009 and 2018 were included. By dividing baseline TSH levels into quartiles (TSH_Q1, Q2, Q3, and Q4), various variables were compared, and their changes after 2 years (∆TSH_Q1, Q2, Q3, and Q4) were confirmed.

RESULTS

Among 15 557 patients, the incidence of diabetes mellitus after 2 years was 2.4% (377/15 557 patients). There was no statistically significant difference in the incidence of diabetes according to TSH_Q (p = 0.243) or ∆TSH_Q (p = 0.131). However, as TSH levels increased, skeletal muscle mass decreased (p < 0.001), and body fat mass and percent body fat significantly increased (p < 0.001). As ∆TSH increased, ∆fasting blood glucose and ∆body mass index also significantly increased (all p < 0.001). The incidence of diabetes decreased significantly as skeletal muscle mass increased (odds ratio 0.734, p < 0.001).

CONCLUSIONS

Owing to the short study period, it was not possible to prove a statistical relationship between the incidence of diabetes mellitus and TSH levels in the euthyroid state. Significant decreases in skeletal muscle mass and increases in body mass index and body fat mass according to baseline TSH levels were demonstrated. Therefore, a focus on improving physical functions, such as increasing muscle mass and decreasing fat, is required in this case.

Alterations in epidermal function in type 2 diabetes: Implications for the management of this disease

Epidermal function is regulated by numerous exogenous and endogenous factors, including age, psychological stress, certain skin disorders, ultraviolet irradiation and pollution, and epidermal function itself can regulate cutaneous and extracutaneous functions. The biophysical properties of the stratum corneum reflect the status of both epidermal function and systemic conditions. Type 2 diabetes in both murine models and humans displays alterations in epidermal functions, including reduced levels of stratum corneum hydration and increased epidermal permeability as well as delayed permeability barrier recovery, which can all provoke and exacerbate cutaneous inflammation. Because inflammation plays a pathogenic role in type 2 diabetes, a therapy that improves epidermal functions could be an alternative approach to mitigating type 2 diabetes and its associated cutaneous disorders.

Increased neutrophil count Is associated with the development of chronic kidney disease in patients with diabetes

BACKGROUND

This study aims to investigate the potential association of peripheral inflammatory blood cell parameters with the incidence and progression of chronic kidney disease (CKD) in patients with diabetes.

METHODS

The cross-sectional study included 1192 subjects with diabetes derived from one center. The cohort study included 2060 subjects with diabetes derived from another two centers followed up for 4 years. Logistic regression and Cox proportional hazards models were used to evaluate the association of peripheral inflammatory blood cell with CKD.

RESULTS

In the cross-sectional study, neutrophil count performed best as an independent risk factor for CKD (odds ratio 2.556 [95% confidence interval 1.111, 5.879]) even after 1:1 case-control matching for age, gender, history of high blood pressure and duration of diabetes. Spline regression revealed a significant linear association of CKD incidence with continuous neutrophil count in excess of 3.6 × 10⁹ /L. In the cohort study, subjects were grouped based on tertile of neutrophil count and neutrophil-to-lymphocyte ratio. Cox regression analysis results showed that only neutrophil count was independently associated with CKD progression (the highest group vs. the lowest group, hazard ratio 2.293 [95% confidence interval 1.260, 4.171]) after fully adjusting for potential confounders. The cumulative incidence of CKD progression in patients with diabetes gradually increased with increasing neutrophil count (53 (7.7%) subjects in the lowest group vs. 60 (8.2%) in the middle group vs. 78 (12.2%) in the highest group).

CONCLUSIONS

This study suggested that neutrophil count is an independent risk factor for progression of CKD in patients with diabetes.

Effects of thyroid hormones in women with gestational diabetes

PURPOSE

This study aims to determine the effect of serum free triiodothyronine (fT3), free thyroxine (fT4), thyroid-stimulating hormone (TSH) and fT3/fT4 ratio on the gestational diabetes.

METHODS

This multicenter study was conducted by analyzing retrospectively 495 pregnant women who admitted to the Tepecik training and Research Hospital, and Kocaeli Derince training and Research Hospital between January 2017 and December 2019. Seventy-eight pregnant women diagnosed with Gestational Diabetes Mellitus (GDM) and 82 pregnant women without GDM diagnosis were included in the study. The relationship between thyroid markers (TSH, fT3, fT4 and fT3/fT4) and gestational diabetes was determined using logistic regression analysis.

RESULTS

Advanced age, low fT4 and high TSH levels were higher in GDM group, p < .05. Results of the logistic regression analysis revealed that the gestational week (OR 20.291, 95% CI 3.132-131-449, p = .002], fasting plasma glucose (OR 48,551, 95% CI 9.223-255.582, p < .001), HbA1c (OR 13,671, 95%CI 2.977-62.781, p =.001) and fT3/fT4 (OR 29.934, 95% CI 3.558-251836, p = .002) were the risk factors of GDM.

DISCUSSION

Advanced gestational week, fasting blood glucose, HbA1c and fT3/fT4 ratio are among the risk factors for the development of the gestational diabetes.

Comparison of six anthropometric measures in discriminating diabetes: A cross-sectional study from the National Health and Nutrition Examination Survey

BACKGROUND

Traditional anthropometric measures, including body mass index (BMI), are insufficient for evaluating the risk of diabetes. This study aimed to evaluate the performance of new anthropometric measures and a combination of anthropometric measures for identifying diabetes.

METHODS

A total of 46 979 participants in the National Health and Nutrition Examination Survey program were included in this study. Anthropometric measures, including weight, BMI, waist circumference (WC), waist-to-height ratio (WtHR), conicity index (CI), and A Body Shape Index (ABSI), were calculated. Logistic regression analysis and restricted cubic splines were used to evaluate the association between the anthropometric indices and diabetes. The receiver operating characteristic (ROC) curve analysis was performed to compare the discrimination of different anthropometric measures.

RESULTS

All anthropometric measures were positively and independently associated with the risk of diabetes. After adjusting for covariates, the per SD increment in WC, WtHR, and CI increased the risk of diabetes by 81%, 83%, and 81%, respectively. In the ROC analysis, CI showed superior discriminative ability for diabetes (area under the curve 0.714), and its optimum cutoff value was 1.31. Results of the combined use of BMI and other anthropometric measures showed that among participants with BMI <30 kg/m² , an elevated level of another metric increased the risk of having diabetes (P < .001). Similarly, at low levels of weight, CI, and ABSI, an elevated BMI increased diabetes risk (P < .001).

CONCLUSIONS

WtHR and CI had the best ability to identify diabetes when applied to the US noninstitutionalized population. Anthropometric measures containing WC information could improve the discrimination ability.

Comprehensive risk profiles of family history and lifestyle and metabolic risk factors in relation to diabetes: A prospective cohort study

BACKGROUND

Family history of diabetes, unhealthy lifestyles, and metabolic disorders are individually associated with higher risk of diabetes, but how different combinations of the three risk categories are associated with incident diabetes remains unclear. We aimed to estimate the associations of comprehensive risk profiles of family history and lifestyle and metabolic risk factors with diabetes risk.

METHODS

This study included 5290 participants without diabetes at baseline with a mean follow-up of 4.4 years. Five unhealthy lifestyles and five metabolic disorders were each allocated a score, resulting in an aggregated lifestyle and metabolic risk score ranging from 0 to 5. Eight risk profiles were constructed from combinations of three risk categories: family history of diabetes (yes, no), lifestyle risk (high, low), and metabolic risk (high, low).

RESULTS

Compared with the profile without any risk category, other profiles exhibited incrementally higher risks of diabetes with increasing numbers of categories: the hazard ratio (HR, 95% confidence interval [CI]) for diabetes ranged from 1.34 (1.01-1.79) to 2.33 (1.60-3.39) for profiles with one risk category, ranged from 2.42 (1.45-4.04) to 4.18 (2.42-7.21) for profiles with two risk categories, and was 4.59 (2.85-7.39) for the profile with three risk categories. The associations between the numbers of risk categories and diabetes risk were more prominent in women (p_interaction  = .025) and slightly more prominent in adults <55 years (p_interaction  = .052).

CONCLUSIONS

This study delineated associations between comprehensive risk profiles with diabetes risk, with stronger associations observed in women and slightly stronger associations in adults younger than 55 years.

Diabetes duration and weight loss are associated with onset age and remote metastasis of pancreatic cancer in patients with diabetes mellitus

OBJECTIVE

To analyze the clinical characteristics of patients with pancreatic cancer (PC) and diabetes and to explore the impact of diabetes duration, weight loss, and hypoglycemic drugs on the tumor biological behavior of PC.

METHODS

This is a retrospective study on patients with PC and diabetes. Subjects were grouped according to the onset age of PC, distant metastasis, duration of diabetes, degree of weight loss (∆Wt), and type of hypoglycemic drugs. Logistic regression analysis was used to evaluate the association between diabetes duration, weight loss, hypoglycemic drugs, and early-onset PC, distant metastasis.

RESULTS

Compared with late-onset PC, patients with early-onset PC had a higher proportion of new-onset DM (35 [79.5%] vs. 217 [46.9%], p < 0.001), smoker, drinker, and more obvious weight loss (8.5 [3.8, 15] kg vs. 5 [0, 10] kg, p < 0.001). Patients with remote metastasis had an earlier diagnosis age, heavier weight loss, lower body mass index, and were more likely to be smokers but had cancer less likely to be localized in the head of pancreas. Regression analysis showed that new-onset diabetes and weight loss were independently correlated to early-onset PC: odds ratio (OR) = 3.38 (95% CI 1.36-8.4, p = 0.09; OR = 1.56 (95% CI 1.16-2.1), p = 0.003, respectively. In contrast, long-term diabetes, and heavy weight loss were independently associated with remote metastasis: OR = 3.38 (95% CI 1.36-8.4, p = 0.09; OR = 1.56 (95% CI 1.16-2.1), p = 0.003, respectively.

CONCLUSION

New-onset diabetes and weight loss were common presentation and risk factors of early-onset PC, which required more attention. Long-term diabetes and heavy weight loss were risk factors contributing to distant metastases, indicating potential risk factors contributing to the adverse prognosis of patients with PC.

Ceramide changes in abdominal subcutaneous and visceral adipose tissue among diabetic and nondiabetic patients

BACKGROUND

This study profiles ceramides extracted from visceral and subcutaneous adipose tissue of human subjects by liquid chromatography-mass spectrometry to determine a correlation with status of diabetes and gender.

METHODS

Samples of visceral and abdominal wall subcutaneous adipose tissue (n = 36 and n = 31, respectively) were taken during laparoscopic surgery from 36 patients (14 nondiabetic, 22 diabetic and prediabetic) undergoing bariatric surgery with a body mass index (BMI) >35 kg/m² with ≥1 existing comorbidity or BMI ≥40 kg/m² . Sphingolipids were extracted and analyzed using liquid chromatography-mass spectrometry.

RESULTS

After logarithm 2 conversion, paired analysis of visceral to subcutaneous tissue showed differential accumulation of Cer(d18:1/16:0), Cer(d18:1/18:0), and Cer(d18:1/24:1) in visceral tissue of prediabetic/diabetic female subjects, but not in males. Within-tissue analysis showed higher mean levels of ceramide species linked to insulin resistance, such as Cer(d18:1/18:0) and Cer(d18:1/16:0), in visceral tissue of prediabetic/diabetic patients compared with nondiabetic subjects and higher content of Cer(d18:1/14:0) in subcutaneous tissue of insulin-resistant female patients compared with prediabetic/diabetic males. Statistically significant differences in mean levels of ceramide species between insulin-resistant African American and insulin-resistant Caucasian patients were not evident in visceral or subcutaneous tissue.

CONCLUSIONS

Analysis of ceramides is important for developing a better understanding of biological processes underlying type 2 diabetes, metabolic syndrome, and obesity. Knowledge of the accumulated ceramides/dihydroceramides may reflect on the prelipolytic state that leads the lipotoxic phase of insulin resistance and may shed light on the predisposition to insulin resistance by gender.

Impact of visit-to-visit fasting plasma glucose variability on the development of diabetes: The mediation by insulin resistance

BACKGROUND

Little is known about the risk of diabetes due to higher glycemic variability and the underlying mechanisms. We aimed to examine the association of visit-to-visit variability (VVV) in fasting plasma glucose (FPG) with incident diabetes in Chinese adults and whether the association was mediated by changes in insulin resistance (IR).

METHODS

We included 1856 community residents without a history of diabetes and having attended 3 examinations in 2008, 2009, and 2013 respectively. The SD, the average successive variability (ASV), the coefficient of variation (CV), and the variability independent of the mean (VIM) of three recorded FPG measurements were calculated for each participant, and SD, ASV, CV, and VIM were used as a measure of VVV in FPG. Incident diabetes was defined according to the 1999 World Health Organization criteria. IR was evaluated using the homeostatic model assessment (HOMA).

RESULTS

A total of 153 (8.2%) participants developed incident diabetes at the third visit. Compared with the lowest tertile (0-5.83 mg/dl) of FPG-SD, the highest tertile (9.55-74.17 mg/dl) was associated with a 148% increased risk of diabetes (odds ratio [OR], 2.48; 95% confidence interval [CI], 1.36-4.49), after adjustment for covariates including mean FPG at 3 visits. Mediation analyses suggested that changes in IR (ΔHOMA-IR) might mediate 17.3% of the association between increased FPG-SD and elevated diabetes risk. Similar results were found for FPG-CV, FPG-ASV, and FPG-VIM.

CONCLUSIONS

The VVV in FPG was significantly associated with risks of diabetes in Chinese adults, which was partially mediated by changes in IR.

Hereditary renal glycosuria, diabetes and responses to SGLT2 inhibitor

AIMS

To present the clinical features of two rare cases with hereditary renal glycosuria and diabetes, explore their responses to sodium-glucose cotransporter 2 (SGLT2) inhibitor, and summarize the reported solute carrier family 5 member 2 (SLC5A2) mutations and related phenotypes.

METHODS

Two patients were followed up for 6.5 and 3 years respectively. SLC5A2 and hepatocyte nuclear factor 1-alpha (HNF1A) gene were sequenced. We used the flash glucose monitoring system to evaluate the efficacy of SGLT2 inhibitor treatment. Then we retrieved all the literature and analyzed SLC5A2 gene mutations and the phenotypes.

RESULTS

During long-time follow up, the two patients had frequent unproportional renal glycosuria in the morning even when their fasting serum glucose was only slightly increased. A novel rare mutation V359G and a pathogenic rare mutation ivs7 + 5G > A in SLC5A2 gene were found respectively. In Case 1, the 24 h glucose excretion was 2.2 g/d and increased to 103 g/d after dapaglifozin treatment, whereas the average glucose (6.33 ± 1.56 vs. 6.28 ± 1.74 mmol/L), and time in range (TIR) (95% vs. 93%) were similar. In Case 2, the 24 h glycosuria was 121.4 g/d and increased to 185.8 g/day after dapaglifozin add-on therapy, with a further reduction of average glucose (9.11 ± 2.63 vs. 7.54 ± 2.39 mmol/L, p < 0.001) and better TIR (70% vs. 84%). We reviewed 139 cases with hereditary renal glycosuria and SLC5A2 gene mutation. The urine glucose was highest in patients with homozygous mutations [64.0(36.6-89.6)g/24 h] compared with compound heterozygous mutations [25.9(14.4-41.2)g/24 h] and heterozygous mutations [3.45(1.41-7.50)g/24 h] (p < 0.001).

CONCLUSIONS

Genetic renal glycosuria could not protect individuals completely from developing diabetes. Patients with SGLT2 gene mutations are still responsive to the SGLT2 inhibitor treatment.

Frederick Banting's observations leading to the potential for islet neogenesis without transplantation

On 31 October 1920, Sir Frederick Banting, while preparing for a medical student lecture on diabetes, a topic that he knew little about, learned how pancreatic stones resulted in the formation of new islets of Langerhans. He then scribbled down a potential research study of tying off the ducts of the pancreas and collecting the secretions to improve diabetes. These secretions became known as insulin. A century later, 60 different oral medications and 20 different insulins are available for the treatment of diabetes, yet none stimulate new islet formation. One hundred years later, after the discovery of insulin, more than a dozen research teams from around the world have demonstrated that similar studies to Banting's pancreatic ligation studies have resulted in upregulation of the REG gene. There are now more than 200 publications on the role of Reg gene proteins and shorter Reg peptides in initiating new islet formation islet from exocrine pancreatic ducts and protecting against inflammation to islets resulting in islet death. Human data through Phase 2b in both type 1 and 2 diabetes patients with diabetes for an average of 20 years have demonstrated that the use of a shorter bioactive Reg peptide can generate new endogenous insulin production, resulting in significant reductions in hemoglobin A1C and increases in stimulated C-peptide. The observations of Frederick Banting, one century ago, may now lead to the generation of therapeutics that form new islets without the need for transplantation.

Prevalence and impact of diabetes in hospitalized COVID-19 patients: A systematic review and meta-analysis

BACKGROUND

Diabetes is a cardiometabolic comorbidity that may predispose COVID-19 patients to worse clinical outcomes. This study sought to determine the prevalence of diabetes in hospitalized COVID-19 patients and investigate the association of diabetes severe COVID-19, rate of acute respiratory distress syndrome (ARDS), mortality, and need for mechanical ventilation by performing a systematic review and meta-analysis.

METHODS

Individual studies were selected using a defined search strategy, including results up until July 2021 from PubMed, Embase, and Cochrane Central Register of Controlled Trials. A random-effects meta-analysis was performed to estimate the proportions and level of association of diabetes with clinical outcomes in hospitalized COVID-19 patients. Forest plots were generated to retrieve the odds ratios (OR), and the quality and risk assessment was performed for all studies included in the meta-analysis.

RESULTS

The total number of patients included in this study was 10 648, of whom 3112 had diabetes (29.23%). The overall pooled estimate of prevalence of diabetes in the meta-analysis cohort was 31% (95% CI, 0.25-0.38; z = 16.09, P < .0001). Diabetes significantly increased the odds of severe COVID-19 (OR 3.39; 95% CI, 2.14-5.37; P < .0001), ARDS (OR 2.55; 95% CI, 1.74-3.75; P = <.0001), in-hospital mortality (OR 2.44; 95% CI, 1.93-3.09; P < .0001), and mechanical ventilation (OR 3.03; 95% CI, 2.17-4.22; P < .0001).

CONCLUSIONS

Our meta-analysis demonstrates that diabetes is significantly associated with increased odds of severe COVID-19, increased ARDS rate, mortality, and need for mechanical ventilation in hospitalized patients. We also estimated an overall pooled prevalence of diabetes of 31% in hospitalized COVID-19 patients.

Relationships between type 2 diabetes, cell dysfunction, and redox signaling: A meta-analysis of single-cell gene expression of human pancreatic α- and β-cells

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a chronic disease characterized by insulin resistance and failure of β-cells to meet the metabolic demand for insulin. Recent advances in single-cell RNA sequencing (sc-RNA-Seq) have allowed for in-depth studies to further understand the underlying cellular mechanisms of T2DM. In β-cells, redox signaling is critical for insulin production. A meta-analysis of human pancreas islet sc-RNA-Seq data was conducted to evaluate how T2DM may modify the transcriptomes of α- and β-cells.

METHODS

Annotated sc-RNA-Seq data from six studies of human pancreatic islets from metabolically healthy and donors with T2DM were collected. α- and β-cells, subpopulations of proliferating α-cells, immature, and senescent β-cells were identified based on expression levels of key marker genes. Each dataset was analyzed individually before combining, using weighted comparisons. Pathways of significant genes and individual redox-related gene expression were then evaluated to further understand the role that redox signaling may play in T2DM-induced β-cell dysfunction.

RESULTS

α- and β-cells from T2DM donors modified genes involved in energy metabolism, immune response, autophagy, and cellular stress. α- and β-cells also had an increased nuclear factor erythroid 2-related factor 2 (NFE2L2)-mediated antioxidant response in T2DM donors. The proportion of immature and senescent β-cells increased in T2DM donors, and in immature and senescent β-cells, genes regulated by NFE2L2 were further upregulated.

CONCLUSIONS

These findings suggest that NFE2L2 plays a role in β-cell maturation and dysfunction. Redox singling maybe a key pathway for β-cell restoration and T2DM therapeutics.

Changes in creatinine-to-cystatin C ratio over 4 years, risk of diabetes, and cardiometabolic control: The China Health and Retirement Longitudinal Study

BACKGROUND

Creatinine-to-cystatin C ratio has attracted substantial interest as a measure to reflect health well-being, but no studies have assessed whether its longitudinal changes are associated with risk of diabetes. We aimed to examine their association, along with the exploration of the relationship of such changes with cardiometabolic control in middle-aged and older adults.

METHODS

We included a total of 3278 participants aged ≥45 years who provided measurements of creatinine and cystatin C at baseline and 4 years later from the China Health and Retirement Longitudinal Study. Diabetes was diagnosed based on glucose, hemoglobin A1c (HbA1c), medical history, or use of antidiabetic mediations. Odds ratio (OR) and 95% confidence interval (CI) were obtained using logistic regression analyses.

RESULTS

After 4-year follow-up, 272 participants developed diabetes. Larger increases in creatinine-to-cystatin C ratio were associated with lower risk of diabetes. The multivariable-adjusted OR for diabetes per 1 SD increase in creatinine-to-cystatin C ratio was 0.84 (95% CI 0.72-0.98). Compared with participants showing decreases in creatinine-to-cystatin C ratio but increases in body mass index (BMI), those experiencing increases in creatinine-to-cystatin C ratio and decreases in BMI had the largest risk reduction (multivariable-adjusted OR 0.52). Changes in creatinine-to-cystatin C ratio showed inverse correlation with blood pressure, HbA1c, lipids, and C-reactive protein at the 4-year follow-up. Moreover, they also correlated inversely with changes in HbA1c and C-reactive protein (all P ≤ 0.004).

CONCLUSIONS

Increases in creatinine-to-cystatin C ratio led to reduced risk of diabetes and may benefit cardiometabolic control.

Gestational hyperglycemia and the risk of cardiovascular diseases among elderly Chinese women: Findings from the REACTION study

BACKGROUND

Gestational hyperglycemia increases the risk of diabetes in later life. However, the risk of future cardiovascular diseases (CVD) related to gestational hyperglycemia remains inconclusive. The purpose of this study was to investigate the impact of gestational hyperglycemia on the subsequent risk of CVD and its modifying factors among elderly Chinese women.

METHODS

We conducted a case-control study of elderly women from the baseline survey of Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. Women with gestational hyperglycemia (n = 82), and controls matched by age and study site (n = 410) were included. Information on CVD, including reported coronary heart disease, stroke, or myocardial infarction, was collected through an interviewer-assisted questionnaire.

RESULTS

Women with gestational hyperglycemia were more likely to develop diabetes (odds ratio [OR], 2.51; 95% confidence interval [CI], 1.50-4.18) and CVD (OR, 1.98; 95% CI, 1.05-3.74). Even without progressing to type 2 diabetes, gestational hyperglycemia was associated with an increased risk of CVD (OR, 2.88; 95% CI, 1.18-7.00). However, subgroup analysis indicated that compared with those without gestational hyperglycemia or hypertension, women with both gestational hyperglycemia and hypertension had higher risk of CVD (OR, 3.98; 95% CI, 1.65-9.58), whereas the risk estimate did not significantly change in women with gestational hyperglycemia alone (OR, 2.15; 95% CI, 0.71-6.57). Stratified analysis indicated that among those with overweight/obesity, inactive physical activity, or unhealthy dietary habits, gestational hyperglycemia increased the risk of CVD.

CONCLUSIONS

In elderly Chinese women, gestational hyperglycemia was associated with an increased risk of CVD in later life. This association was independent of the progression to diabetes and might be modified by lifestyle factors and hypertension.

Associations between parity, pregnancy loss, and breastfeeding duration and risk of maternal type 2 diabetes: An observational cohort study

BACKGROUND

Parity, pregnancy loss, and breastfeeding duration were found to be associated with diabetes. However, the results are inconsistent. Also, no epidemiological studies have examined the association of these reproductive factors with diabetes in the same large population. We aim to investigate the associations between parity, pregnancy loss, breastfeeding duration, and the risk of maternal diabetes in middle-aged and elderly Chinese females.

METHODS

We included 131 174 females aged ≥40 years from the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study). Multivariable linear regression and logistic regression were used to assess the association between parity, pregnancy loss, and breastfeeding duration and type 2 diabetes.

RESULTS

The number of parities and breastfeeding duration were positively related to fasting plasma glucose, 2-hour postload glucose, glycosylated hemoglobin, and homeostatic model assessment of insulin resistance. Compared with those with one birth, nulliparous women or women with 2 or ≥3 births had a significantly increased risk of diabetes. The odds ratios (OR) and 95% confidence intervals (CI) were 1.27 (1.10-1.48), 1.17 (1.12-1.22), and 1.28 (1.21-1.35), respectively. Compared with women without pregnancy loss, those who underwent 2 (OR 1.09; 95% CI, 1.04-1.14) or ≥3 pregnancy losses (OR 1.11; 95% CI, 1.04-1.18) had an increased risk of diabetes. Moreover, women with a breastfeeding duration ≥0 to 6 months (OR 0.82; 95% CI, 0.75-0.90) and ≥6 to 12 months (OR 0.94; 95% CI, 0.89-0.99) had a significantly lower risk of diabetes.

CONCLUSIONS

Nulliparous women or women with multiparity or more than one pregnancy loss have an increased risk of diabetes in later life, while women who breastfeed more than 0 to 12 months have a lower risk of diabetes.

Metabolic risk factors among prediabetic individuals and the trajectory toward the diabetes incidence

BACKGROUND

This study investigates the trajectory of the risk factors of prediabetes progression to overt diabetes.

METHODS

The study retrospectively investigated 1610 prediabetic individuals. The trajectory of metabolic indicators was investigated using the generalized estimated equation method with autoregressive working correlation structure through a linear model with the identity link function.

RESULTS

During 15 years of follow-up, the trajectories of metabolic risk factors changed from 3 years before diabetes occurrence for fasting plasma glucose (FPG) and 2-hour plasma glucose (2hPG), 6 years for waist circumference (WC), 9 years for high-density lipoprotein cholesterol (HDL-C), and earlier for body mass index, triglyceride (TG), and TG:HDL ratio. It was shown that the differences in the trajectory of WC and HDL were stable after adjustment for other metabolic risk factors. The trajectories of FPG and 2hPG remained stable after considering multiple insulin resistance markers.

CONCLUSIONS

Deterioration of metabolic risk factor status can be a predictor of diabetes many years before its occurrence, but the abrupt change in plasma glucose is evident 3 years before diabetes mellitus onset. It seems that the HDL-C and WC trajectories are two independent predictors for diabetes incidence. It was also found that when the rising trend in plasma glucose starts, preventive strategies to lessen insulin resistance might not be efficient.

Beneficial effects of sodium glucose cotransporter 2 inhibitors on left ventricular mass in patients with diabetes mellitus

BACKGROUND

Sodium glucose cotransporter 2 inhibitor (SGLT2i) has recently been suggested to reduce the risk of cardiovascular events. Left ventricular hypertrophy (LVH) is associated with cardiovascular events. Diabetic macroangiopathy is a crucial complication in patients with diabetes mellitus (DM). This study examined the effect of SGLT2i on LVH in patients with type 2 DM (T2DM).

METHODS

The retrospective cohort study was conducted in consecutive outpatients with T2DM from 2010 to 2020. Left ventricular mass index (LVMI) was used as an indicator of LVH based on echocardiography. The minimum follow-up period was 1 year. After propensity score-matching for clinical profiles, patients who underwent annual echocardiography twice for a routine checkup and took SGLT2i were defined to the SGLT2i group, whereas patients without SGLT2 inhibitors were defined to the non-SGLT2 group. SGLT2i was administered after baseline echocardiography followed by a second examination.

RESULTS

LVMI levels in the SGLT2i group (n = 169) significantly decreased from baseline compared with those in the non-SGLT2i group (n = 169), % changes in LVMI2.7(g/m^2.7 ) in median (interquartile ranges [IQR]) were - 7.7 (-18.7, 2.5) vs -3.6 (-14.3, 5.8), respectively, P = 0.017). In a subgroup analysis, LVMI levels in the patients who had LVH in the SGLT2i group more significantly decreased than those without LVH, % changes in LVMI2.7(g/m^2.7 ) in median (IQR) were -13.5 (-22.1, -2.4) vs -2.8 (-12.6, 9.8), respectively, P < 0.001).

CONCLUSIONS

SGLT2i treatment was shown to improve LVH in patients with T2DM and may play a pivotal role in the future treatment of diabetic cardiovascular complications.

Efficacy and safety of low-dose naltrexone in painful diabetic neuropathy: A randomized, double-blind, active-control, crossover clinical trial

BACKGROUND

There is a need for newer therapies for chronic painful diabetic neuropathy as the existing drugs have their own limitations. Clinical trials on low-dose naltrexone (1-5 mg/d) showed efficacy and safety in certain chronic painful conditions, but not in painful diabetic neuropathy. Hence the present study was planned.

METHODS

Sixty-seven participants with painful diabetic neuropathy were randomized to receive either 2 mg naltrexone or 10 mg amitriptyline daily following a 2-week run-in period. The participants were followed up every 2 weeks for a total of 6 weeks. Up-titration was done (to 4 mg naltrexone or 25/50 mg amitriptyline) if the pain reduction was less than 20% on the visual analog scale (VAS) during the next follow-up visit. Efficacy was assessed using the change in VAS score at the end of 6 weeks from baseline. Safety was evaluated at each follow-up visit. After 2 weeks of washout period, the participants were crossed over to receive the comparator drug for another 6 weeks with similar evaluations.

RESULTS

The difference (confidence interval) in the change in VAS score between groups from baseline was 1.64 (-0.92 to 4.20) in per-protocol analysis and 1.5 (-1.11 to 4.13) in intention-to-treat analysis. Eight and fifty-two adverse events were reported in the naltrexone and amitriptyline groups, respectively (P < .001). The most common adverse events were mild diarrhea with naltrexone and somnolence with amitriptyline.

CONCLUSIONS

Low-dose naltrexone exhibited similar efficacy and a superior safety profile compared with amitriptyline in painful diabetic neuropathy.

Atherosclerotic disease burden after bariatric surgery in patients with obesity and type 2 diabetes

BACKGROUND

The rising rates of obesity, along with its associated morbidities, represent an important global health threat. Atherosclerotic cardiovascular disease (ASCVD) is among the most common and hazardous obesity-related morbidity, and it is especially prevalent among those who suffer from type 2 diabetes (T2DM). Bariatric surgery (BS) is known to help with effective weight management and reduce the burden of cardiovascular risk factors, especially T2DM.

METHODS

A nested propensity-matched cohort study was carried out using the Clinical Practice Research Datalink. The cohort included 1186 patients with no past history of ASCVD, 593 of whom underwent BS and 593 propensity-score matched controls, followed up for a mean of 42.7 months. The primary end point was the incidence of new ASCVD; defined as new coronary artery disease (CAD), cerebrovascular disease (CeVD), peripheral arterial disease (PAD), or miscellaneous atherosclerotic disease; secondary end points included primary end point components alone and all-cause mortality.

RESULTS

Patients who underwent BS had significantly lower rates of new ASCVD (hazard ratio [HR] 0.53, confidence interval [CI] 0.30-0.95, P = 0.032. There were no significant differences in rates of CAD, CeVD, and PAD individually across cohorts, but a lower rate of all-cause mortality was observed in the BS cohort (HR 0.36, CI 0.19-0.71, P = 0.003).

CONCLUSIONS

BS was associated with improved ASCVD outcomes and lower mortality in patients with obesity and T2DM. This study provides evidence for increased awareness of potential benefits of BS in the management of obesity by highlighting a potential role in primary prevention for ASCVD.

Relationship between dietary choline intake and diabetes mellitus in the National Health and Nutrition Examination Survey 2007-2010

BACKGROUND

Little is known about the relationship between dietary intake of choline, which is a major dietary precursor for gut microbiome-derived trimethylamine N-oxide (TMAO), and diabetes mellitus (DM) in the general population. The present study aims to explore the relationship between dietary choline intake and DM in the US adult population.

METHODS

Cross-sectional data were derived from the National Health and Nutrition Examination Survey (NHANES) 2007-2010 of 8621 individuals aged 20 years or older. Multivariable logistic regression models were used to determine odds ratios (ORs) and 95% confidence intervals (CIs) for DM of each quartile category of energy-adjusted choline intakes. The restricted cubic spline model was used for the dose-response analysis. The receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value of choline intake for predicting DM.

RESULTS

A linear dose-response relationship between dietary choline intake and the odds of DM was found after adjustment for multiple potential confounding factors. With the lowest quartile category of choline as the reference, the multivariable-adjusted ORs and 95% CIs of the second, third, and highest quartile categories were 1.23 (0.99-1.53), 1.27 (1.02-1.58), and 1.49 (1.20-1.85), respectively, P for trend =0.0004. The ROC analysis identified energy-adjusted choline of 331.7 mg/8.37-MJ per day as the optimal cutoff value for predicting DM, with 52.5% sensitivity and 60.7% specificity.

CONCLUSION

This study supports a positive and linear relationship between dietary choline intake and DM in the US adult population.

Age at menarche, ideal cardiovascular health metrics, and risk of diabetes in adulthood: Findings from the REACTION study

BACKGROUND

Age at menarche was reported to be associated with the risk of diabetes. However, the impact of ideal cardiovascular health metrics (ICVHMs) on the association between age at menarche and adulthood diabetes risk was unclear.

METHODS

We included 121 431 women from the nationwide, population-based cohort of the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study). The diagnosis of diabetes was based on the oral glucose tolerance test (OGTT) and glycosylated hemoglobin (HbA1c) measurement. Logistic regression and multiplicative interaction analysis were conducted to investigate the potential interaction effect between age at menarche and ICVHMs on the development of diabetes.

RESULTS

The multivariable-adjusted odds ratios of diabetes across categories of age at menarche (<14, 14-17, and > 17 years) were 1.22 (95% confidence interval [CI]: 1.17, 1.28), 1.00 (reference), and 0.89 (95% CI: 0.85, 0.93), respectively. In subgroup analysis, significant interactions were detected between total cholesterol/blood pressure levels and age at menarche regarding the risk of diabetes (P for interaction = .0091 and .0019, respectively). The increased risk associated with age at menarche <14 years was observed in participants with three or fewer ICVHMs, but not in women with four or more ICVHMs (P for interaction = .0001).

CONCLUSIONS

Age at menarche was inversely associated with the risk of diabetes in adulthood in Chinese women, and it appeared to be modified by the presence of ICVHMs. Further studies are needed to clarify the precise interrelationship and the generalizability of our results.

Determinants of mental health outcomes among people with and without diabetes during the COVID-19 outbreak in the Arab Gulf Region

AIMS

To determine the prevalence and factors associated with depression and anxiety among people with and without diabetes during the coronavirus disease 2019 (COVID-19) outbreak.

METHODS

A cross-sectional questionnaire-based study collecting demographic and mental health data from 2166 participants living in the Arab Gulf region (568 with diabetes, 1598 without diabetes). Depression and anxiety were assessed using the 9-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder scale, respectively.

RESULTS

The prevalence of depression and anxiety symptoms were 61% and 45%, in people with diabetes (PWD) and 62% and 44%, respectively, in people without diabetes. PWD who have had their diabetes visit canceled by the clinic were more likely to report depression and anxiety symptoms than those without diabetes (odds ratio [95% confidence interval]: 1.37 [1.02, 1.84] and 1.37 [1.04, 1.80], for depression and anxiety; respectively). PWD who had no method of telecommunication with their health care providers (HCP) during the pandemic, PWD with A1C of ≥ 10%, women, employees (particularly HCPs), students, unmarried individuals, and those with lower income were more likely to report depression and/or anxiety symptoms (all P < 0.01). Fear of acquiring the coronavirus infection; running out of diabetes medications; or requiring hospitalization for hypoglycemia, hyperglycemia, or diabetic ketoacidosis; and lack of telecommunication with HCPs were all associated with significantly higher odds of having depression and anxiety symptoms among PWD.

CONCLUSIONS

The remarkably high prevalence of depression and anxiety symptoms during the COVID-19 pandemic, particularly among subgroups of PWD, calls for urgent public health policies to address mental health during the pandemic and reestablish health care access for PWD.

Association of attention-deficit/hyperactivity disorder with diabetes mellitus in US adults

BACKGROUND

Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neurodevelopmental disorder that usually persists into adulthood. However, limited evidence is available regarding its influence on adult health outcomes beyond neuropsychiatric comorbidities. This study aimed to examine the association of ADHD with diabetes in US adults.

METHODS

We analyzed data from the National Health Interview Survey (NHIS), a leading health survey of a nationally representative sample in the United States. We included adults aged 20-79 years who participated in the NHIS 2007 and 2012. Physician-diagnosed ADHD and diabetes were reported during an in-person household interview. Logistic regression with survey sampling weights was used to estimate the odds ratio (OR) and 95% confidence interval (CI) of diabetes.

RESULTS

This analysis included 52 821 adults (weighted mean age 45.5 years; 48.6% males). Among them, 1642 participants reported a diagnosis of ADHD and 4631 reported a diagnosis of diabetes. In the multivariable analysis adjusting for age, sex, race/ethnicity, education level, family income level, smoking, alcohol drinking, physical activity, and body mass index, the OR of diabetes among adults with ADHD vs those without ADHD was 1.54 (95% CI, 1.16-2.04). In the stratified analyses, the significant association of ADHD with diabetes remained in most strata, and the associations were not significantly modified by age, sex, race/ethnicity, or obesity status.

CONCLUSIONS

In a nationally representative sample of US adults, we found a significant association between a history of ADHD diagnosis and diabetes.

Glycemic control and risk factors for in-hospital mortality and vascular complications after coronary artery bypass grafting in patients with and without preexisting diabetes

BACKGROUND

The purpose of this study was to investigate risk factors of in-hospital mortality and vascular complications after coronary artery bypass grafting (CABG), particularly the effect of different glycemic control levels on outcomes in patients with and without previous evidence of diabetes.

METHODS

A total of 8682 patients with and without previous diabetes undergoing CABG were categorized into strict, moderate, and liberal glucose control groups according to their mean blood glucose control level <7.8 mmol/L, 7.8 to 10.0 mmol/L, and ≥10.0 mmoL/L after in-hospital CABG.

RESULTS

The patients with previous diabetes had higher rates of in-hospital mortality (1.3% vs 0.4%, P < .001) and major complications (7.0% vs 4.8%, P < .001) than those without diabetes. Current diabetes was significantly associated with a higher risk of in-hospital mortality (odds ratio [OR] = 3.14, 95% confidence interval [CI] 1.87-5.27) and major complications (OR = 1.49, 95% CI 1.24-1.80), and smoking and higher low-density lipoprotein cholesterol (LDL-C) levels showed similar results. Among patients with previous diabetes, strict glucose control was significantly associated with an increased risk of in-hospital mortality (OR = 8.32, 95% CI 3.95-17.51) compared with moderate glucose control. Nevertheless, among non-previous diabetic patients with stress hyperglycemia, strict glucose control led to a lower risk of major complications (OR = 0.71, 95% CI 0.52-0.98).

CONCLUSIONS

Diabetes status, smoking, and LDL-C levels were modifiable risk factors of both in-hospital mortality and major complications after CABG. Strict glucose control was associated with an increased risk of in-hospital mortality among patients with diabetes, whereas it reduced the risk of major complications among non-previous diabetic patients.

Higher ratio of extracellular water to total body water was associated with reduced cognitive function in type 2 diabetes

BACKGROUND

Fluid imbalance is associated with various clinical conditions, but the association between elevated extracellular-water to total-body-water (ECW/TBW) ratio, an indicator of fluid balance, and cognitive impairment is unknown. We aimed to investigate relationship between ECW/TBW ratio and cognitive function in type 2 diabetes mellitus.

METHODS

This study was a cross-sectional design, comparing 1233 patients aged 61.4 ± 8.0 years from the Singapore Study of Macro-angiopathy and Micro-vascular Reactivity in Type 2 Diabetes (SMART2D) cohort. ECW/TBW was measured using bioelectrical impedance method. Cognitive function was assessed with Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Multiple linear regression was used to examine association between ECW/TBW and RBANS scores, adjusting for demographics, education, clinical covariates, and apolipoprotein E allele.

RESULTS

In unadjusted analyses, there was an inverse dose-dependent association between ECW/TBW and RBANS total score. The associations persisted in fully adjusted model with β = -1.18 (95% confidence interval [CI] -2.19 to -0.17; P = 0.022) for slight edema and -2.33 (-3.99 to -0.67; P = 0.006) for edema. Slight edema and edema were significantly associated with reduced cognitive function in delayed memory and attention. There was significant association between edema but not slight edema, with reduced cognitive function in language. Pulse pressure accounted for 16.8% of association between ECW/TBW and RBANS total score.

CONCLUSIONS

Our novel finding of an independent association between higher ECW/TBW and poorer cognitive function highlights the potential importance of maintaining body fluid balance in the management of cognitive impairment.

Postload glucose spike but not fasting glucose determines prognosis after myocardial infarction in patients without known or newly diagnosed diabetes

BACKGROUND

The effect of postload glucose spikes (PGS), the difference between 2 hour post-load plasma glucose (2hPLPG) and fasting plasma glucose (FPG), on post-myocardial infarction (post-MI) prognosis in nondiabetic patients is unexplored.

METHODS

This is a retrospective cohort analysis of 847 nondiabetic post-MI survivors who underwent a predischarge oral glucose tolerance test (median PGS: 2.4 mmol/L). Patients were divided into the unmatched groups 1 and 2 (PGS ≤ and > 2.4 mmol/L) and the propensity score-matched groups 1M and 2M (355 pairs assembled from the overall cohort), and these groups were compared. Major adverse cardiac events (MACE: death and nonfatal reinfarction) were recorded during follow-up (median: 3.4 years). Event-free survival was compared by the Kaplan-Meier method. Multivariate Cox proportional hazards regression determined the predictors of MACE. C-statistics (change in area under the curve, δAUC), continuous net reclassification improvement (NRI^>0 ), and integrated discrimination improvement (IDI) were used to compare models.

RESULTS

The number of MACE was higher in groups 2 (27.3% vs 14.2%, P < .001) and 2M (24.5% vs 15.5%, P < .001). Event-free survival was worse in groups 2 (hazard ratio [HR] 2.01; 95% CI, 1.49-2.71; P < .001) and 2M (HR 1.63; 95% CI, 1.17-2.27; P = .004). PGS independently predicted MACE-free survival in the whole (HR 1.16; 95% CI, 1.06-1.26; P = .002) and matched cohort (HR 1.12; 95% CI, 1.02-1.24; P = .021). PGS, but not FPG or 2hPPG, improved the predictive performance of the base model (δAUC 0.013, P = .046), with greater improvement seen when PGS was added and compared to 2hPPG (δAUC 0.005, P = .034; NRI^>0 0.2107, P = .013; IDI 0.0042, P = .046).

CONCLUSION

PGS is a better predictor of post-MI prognosis than 2hPPG in nondiabetic patients.

The potential effects of clinical antidiabetic agents on SARS-CoV-2

BACKGROUND

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is currently posing significant threats to public health worldwide. It is notable that a substantial proportion of patients with sever COVID-19 have coexisting diabetic conditions, indicating the progression and outcome of COVID-19 may relate to diabetes. However, it is still unclear whether diabetic treatment principles can be used for the treatment of COVID-19.

METHODS

We conducted a computational approach to screen all commonly used clinical oral hypoglycemic drugs to identify the potential inhibitors for the main protease (M^pro ) of SARS-CoV-2, which is one of the key drug targets for anti-COVID-19 drug discovery.

RESULTS

Six antidiabetic drugs with docking scores higher than 8.0 (cutoff value), including repaglinide, canagliflozin, glipizide, gliquidone, glimepiride, and linagliptin, were predicted as the promising inhibitors of M^pro . Interestingly, repaglinide, one of the six antidiabetic drugs with the highest docking score for M^pro , was similar to a previously predicted active molecule nelfinavir, which is a potential anti-HIV and anti-COVID-19 drug. Moreover, we found repaglinide shared similar docking pose and pharmacophores with a reported ligand (N3 inhibitor) and nelfinavir, demonstrating that repaglinide would interact with M^pro in a similar way.

CONCLUSION

These results indicated that these six antidiabetic drugs may have an extra effect on the treatment of COVID-19, although further studies are necessary to confirm these findings.

Understanding inhaled Technosphere Insulin: Results of an early randomized trial in type 1 diabetes mellitus

BACKGROUND

Technosphere Insulin (TI) is an inhaled insulin. Studies comparing TI with short-acting insulin analogues provide important insights on efficacy, dosing, and time course of action.

METHODS

Planned enrollment of 230 subjects was limited to 138 due to premature study discontinuation. The primary efficacy endpoint was a noninferiority of glycosylated hemoglobin (HbA1c) of 0.4% for TI compared with insulin lispro (LIS) in a 16-week phase 3 randomized clinical trial in type 1 diabetes mellitus.

RESULTS

HbA1c values were similar in the TI and LIS groups at the beginning of the trial (7.8% and 7.6%, respectively) and at trial endpoint (7.7% and 7.6%, respectively). Least squares mean changes from baseline were similar between study groups. Glucose values after a standard meal were significantly lower with TI in the first 90 minutes post meal compared with LIS. Mild or moderate hypoglycemia event rates were also significantly lower with TI compared with LIS (5.97 vs 8.01, respectively; P = .0269). Cough was the most commonly reported adverse event with TI. Pulmonary function as measured by forced expiratory volume in 1 second was not different between groups at baseline, 16 weeks, or 4 weeks off study drug.

CONCLUSIONS

HbA1c was unchanged and overall glucose control was comparable between groups. Treatment with TI resulted in improved post-meal glucose and a lower risk of hypoglycemia compared with LIS.

Distinct determinants of muscle wasting in nonobese heart failure patients with and without type 2 diabetes mellitus

BACKGROUND

Muscle wasting, that is, reduction in muscle mass, is frequently observed in patients with chronic heart failure (CHF) and diabetes mellitus (DM).

METHODS

We retrospectively examined 185 patients with CHF (median age of 71 years [interquartile range, 61-78 years]; 64% male) who received a dual-energy X-ray absorptiometry scan for assessment of appendicular skeletal muscle mass index (ASMI).

RESULTS

Seventy patients with CHF (38%) had DM. Patients with DM had higher prevalences of ischemic heart disease and hypertension, lower levels of estimated glomerular filtration rate (eGFR) and ASMI, and higher levels of plasma renin activity (PRA) than did patients without DM. In simple regression analyses, ASMI was positively correlated with the Mini Nutritional Assessment Short Form (MNA-SF) score and levels of hemoglobin, eGFR, and fasting plasma insulin and was negatively correlated with levels of N-terminal pro B-type natriuretic peptide, PRA, and cortisol. In multiple linear regression analyses, age, MNA-SF score, DM, fasting plasma insulin level, and PRA were independently associated with ASMI. When multiple linear regression analyses were separately performed in a non-DM group and a DM group, MNA-SF score and fasting plasma insulin level were independent variables for ASMI in both groups. PRA was independently associated with ASMI in the DM group but not in the non-DM group, whereas cortisol concentration was independently associated with ASMI only in the non-DM group.

CONCLUSIONS

In addition to malnutrition and reduction in plasma insulin, renin-angiotensin system activation may be responsible for the development of muscle wasting in CHF patients with DM.

Association between secondhand smoke exposure and diabetes mellitus in 131 724 Korean never smokers using self-reported questionnaires and cotinine levels: Gender differences

OBJECTIVE

The aim of this study is to compare the gender-different associations between secondhand smoke (SHS) exposure and diabetes in self-reported never smokers verified by cotinine.

METHODS

Self-reported never smokers verified by cotinine levels (<50 ng/mL) enrolled in the Kangbuk Samsung Health Study between April 2011 and December 2016 were included for this study. SHS exposure was defined as current exposure to passive smoke indoors at home or workplace. The gender-specific association between SHS exposure and diabetes was assessed using multivariable regression analyses.

RESULTS

Of the total 131 724 individuals (mean age 35 years, SD 7.1 years), 66.8% were female, and the prevalence of SHS exposure in the entire population was 22.9%. The prevalence of diabetes in the group exposed to SHS was higher than that in the group unexposed to SHS only in females (1.8% vs 1.2%, P < .001 for females; 2.2% vs 2.2%, P = .956 for males). A significant gender interaction existed for the relationships between SHS exposure and diabetes (P for interaction <.001). The multivariate regression model showed that SHS exposure was significantly associated with diabetes only in females (odds ratio [95% CI], 1.40 [1.20, 1.65] for females; 1.00 [0.85, 1.19] for males). In particular, females with SHS exposure ≥1 hour/day, ≥3 times/week, and ≥10 years showed an increased risk of diabetes by more than 50% compared to those without SHS exposure.

CONCLUSIONS

SHS exposure was significantly associated with diabetes in female never smokers with dose-dependent relationship. However, further longitudinal studies are needed to elucidate the gender difference in the incidence of diabetes associated with SHS exposure.

Clinical characteristics and outcomes of coronavirus disease 2019 infections among diabetics: A retrospective and multicenter study in China

BACKGROUND

Coronavirus disease 2019 (COVID-19) emerged in December 2019 and has spread globally. Diabetics are at increased risk of infections caused by a variety of pathogens including viruses. The present research aims to describe clinical characteristics and outcomes of COVID-19 patients with diabetes.

METHODS

A retrospective multicenter study of COVID-19 patients with diabetes was conducted in four hospitals in Wuhan, Shanghai, and Anhui Province. Reverse transcription polymerase chain reaction or next-generation sequencing was carried out to confirm the existence of severe acute respiratory syndrome coronavirus 2 from respiratory specimens.

RESULTS

A total of 54 diabetics (10.36%) were recruited from among 521 COVID-19 patients, with a median age of 63 (interquartile range, 52-70) years. Among them, 51 had been previously diagnosed with diabetes and 3 had been newly diagnosed based on glycosylated hemoglobin over 6.5%. For COVID-19, 47 of the 54 patients had an exposure history. Fever (47/54, 87.04%), dry cough (36/54, 66.67%), and expectoration (21/53, 39.62%) were among the top three symptoms. Lung infiltration was bilateral (46/52, 88.46%) and multilobe (47/52, 90.38%), and ground-glass opacity (36/37, 97.30%) was the most common pattern in radiological images. Moreover, COVID-19 patients with diabetes were prone to be classified as severe or critical cases (46.30%, 25/54) and had complications such as acute lung injury, acute respiratory distress syndrome, and acute kidney injury. The proportions of intensive care unit (ICU) admissions and deaths among the COVID-19 diabetics were 14.81% (8/54) and 12.96% (7/54), respectively.

CONCLUSIONS

With older age, diabetics diagnosed as having COVID-19 were prone to develop into severe cases and exhibited a high rate of ICU admission and mortality.

Factors leading to high morbidity and mortality of COVID-19 in patients with type 2 diabetes

Coronavirus disease 2019 (COVID-19) is a recent pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus. Diabetes (mostly type 2 diabetes mellitus, T2DM) and hyperglycemia are among the major comorbidities in patients with COVID-19 leading to poor outcomes. Reports show that patients with diabetes and COVID-19 are at an increased risk for developing severe complications including acute respiratory distress syndrome, multi-organ failure, and death. Here we explore potential mechanistic links that could explain the observed higher morbidity and mortality in this patient population. Patients with T2DM have an underlying increased level of inflammation associated with obesity and insulin resistance in addition to other comorbidities including hypertension, obesity, cardiovascular disease, dyslipidemia, and being older. We review evidence that T2DM with hyperglycemia are among factors that lead to elevated expression of angiotensin-converting enzyme 2 (ACE2) in lungs and other tissues; ACE2 is the cellular "receptor" and port of viral entry. The preexisting chronic inflammation with augmented inflammatory response to the infection and the increasing viral load leads to extreme systemic immune response ("cytokine storm") that is strongly associated with increased severity of COVID-19. Based on the available evidence, it is recommended by a panel of experts that safe but stringent control of blood glucose, blood pressure, and lipids be carried out in patients with T2DM, measures that could potentially serve to decrease the severity of COVID-19 should these patients contract the viral infection. Once the infection occurs, then attention should be directed to proper glycemic control with use of insulin and frequent monitoring of blood glucose levels.

Diabetes mellitus association with coronavirus disease 2019 (COVID-19) severity and mortality: A pooled analysis

Highlights There are ~ 2-fold increased odds of severe coronavirus disease 2019 (COVID-19) and a ~ 2-fold increased risk of odds of mortality in patients with history of diabetes mellitus compared to those without diabetes mellitus. Patients with a history of diabetes mellitus should be closely monitored if they get infected with COVID-19. Results of meta-analysis showing association of diabetes mellitus with severity (Panel A) of disease and mortality (Panel B) in coronavirus disease 2019 (COVID-19) patients.

Effect of gender on transition of normo- to microalbuminuria under angiotensin receptor blocker therapy in diabetes

Highlights In normoalbuminuric diabetic patients at low cardiovascular risk, the risk of transition from normo- to microalbuminuria is lower in women, despite the nonprotective effects of the angiotensin receptor blocker olmesartan. Additional methods of assessment of albuminuria in clinical studies (eg, measurements of albumin and creatinine excretion rate) should be implemented or the actually accepted higher urine albumin creatinine ratio (UACR) cutoff values for microalbuminuria in women reconsidered.

Does undiagnosed diabetes mitigate the association between diabetes and cognitive impairment? Findings from the ELSI-Brazil study

BACKGROUND

Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment. However, most of the evidence has been based on self-reported T2DM, and undiagnosed diabetes has not been considered as a separate category. We aimed to examine the extent to which undiagnosed diabetes modifies the association between diabetes and cognitive impairment in a representative sample of Brazilian adults aged 50 years and older.

METHODS

We analyzed baseline data from 1944 participants of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) conducted from 2015 to 2016. Diabetes was evaluated based on self-reported doctor diagnosis and glycosylated hemoglobin levels. Participants were classified as diabetics (D), undiagnosed diabetics (UDD), or nondiabetics (ND). Cognitive function was assessed by word list learning and verbal fluency tests. Three multiple logistic regression models were used to evaluate the changes in the strength of the associations.

RESULTS

Participants with diabetes had 49% greater odds of exhibiting impaired memory than nondiabetics (odds ratio [OR] = 1.49; 95% CI: 1.01-2.20). By combining UDD and ND, the association between diabetes and impaired memory was attenuated by 2.0%, losing its statistical significance (OR = 1.46; 95% CI: 0.98-2.17). By combining UDD and D, the association was attenuated by 7.4% (OR = 1.38; 95% CI: 1.01-1.90). No significant association was found between T2DM and impaired verbal fluency.

CONCLUSION

This study found an association between T2DM and impaired memory but not with impaired verbal fluency. When UDD individuals are considered diabetics, this association is attenuated; when UDD individuals are considered as ND, this association is attenuated to the extent that it loses its statistical significance, affecting thus the clinical interpretation.

A comparative analysis of current blood pressure management guidelines in people with and without diabetes

Hypertension is the leading global risk factor for cardiovascular disease and premature death. Recommendations from current guidelines of blood pressure (BP) management differ in many ways; therefore, we did an overview and comparative analysis of major clinical guidelines of BP management in people with and without diabetes, including the definition and classification of hypertension, initiation of antihypertensive drug therapy, BP control targets, and antihypertensive treatment strategies. BP management in patients with diabetes was discussed in great detail using both hypertension and diabetes guidelines. We conclude that high-level evidence from high-quality clinical studies is urgently needed to settle uncertainties on BP management recommendations.

[Association of maternal diabetes mellitus and UCP2 gene polymorphisms with congenital heart disease in offspring: a case-control study]

OBJECTIVE

To study the association of maternal diabetes mellitus (DM), uncoupling protein 2 (UCP2) gene polymorphisms, and their interaction with the risk of congenital heart disease (CHD) in offspring.

METHODS

A hospital-based case-control study was conducted. A total of 464 mothers of children with CHD alone who were diagnosed in Hunan Children's Hospital from March 2018 to August 2019 were enrolled as the case group. A total of 504 mothers of healthy children who were hospitalized during the same period and did not have any deformity were enrolled as the control group. A questionnaire survey was performed to collect the information on exposure. Venous blood samples (5 mL) were collected from the mothers to detect UCP2 gene polymorphisms. A multivariate logistic regression analysis was used to investigate the association of maternal DM, UCP2 gene polymorphisms, and their interaction with CHD in offspring.

RESULTS

After control for confounding factors, the multivariate logistic regression analysis showed that mothers with gestational DM (OR=2.96, 95%CI: 1.57-5.59), a history of gestational DM (OR=3.16, 95%CI: 1.59-6.28), and pregestational DM (OR=4.52, 95%CI: 2.41-8.50) significantly increased the risk of CHD in offspring (P<0.05). The polymorphisms of the UCP2 gene at rs659366 (T/C vs C/C: OR=1.49, 95%CI: 1.02-2.16; T/T vs C/C: OR=2.77, 95%CI: 1.67-4.62) and rs660339 (A/A vs G/G: OR=2.19, 95%CI: 1.34-3.58) were significantly associated with risk of CHD in offspring (P<0.05). The interaction analysis showed an interaction between the polymorphisms of the UCP2 gene at rs659366 and rs660339 and maternal DM in the development of CHD (P<0.05).

CONCLUSIONS

Maternal DM, UCP2 gene polymorphisms, and their interaction are associated with the development of CHD in offspring.

Patient characteristics and 6-month dose of basal insulin associated with HbA1c achievement <7.0% in Chinese people with type 2 diabetes: results from the Observational Registry of Basal Insulin Treatment (ORBIT)

BACKGROUND

The efficacy of basal insulin (BI) for adequate glycemic control in patients with type 2 diabetes mellitus (T2DM) has been well documented by randomized clinical trials. This post hoc analysis of the Observational Registry of Basal Insulin Treatment (ORBIT) study was performed to explore the 6-month dose of BI used in insulin-naïve T2DM patients achieving HbA1c target (<7%) and determine the patient characteristics that affect the 6-month dose of BI in the setting of real-world clinics in China.

METHODS

This multicenter observational registry screened 19 894 adult T2DM patients with inadequately controlled hyperglycemia and treated with oral antidiabetic drugs (OADs) in China. Of these patients, 5191 who continued to receive BI after 6 months and achieved HbA1c target were analyzed. Patient characteristics including age, body weight, fasting plasma glucose (FPG), use of OADs, insulin (type and dose), and glycemic control were recorded at baseline and 6-month follow-ups.

RESULTS

The 6-month dose of BI needed for effective glycemic control was 0.20 ± 0.08 U/kg/day. High body mass index, high FPG, young age, longer duration of diabetes or OAD treatment, a greater number of OADs at baseline, and allocation to detemir and glargine were significant independent predictors for high dose of BI at 6 months.

CONCLUSIONS

This post hoc analysis of the ORBIT registry provides key information on the 6-month dose of BI needed for effective glycemic control in Chinese T2DM patients. Furthermore, it identified crucial patient characteristics that are significant determinants of the dose of BI in a real-world setting.