Parental Diabetes Distress Is A Stronger Predictor Of Child HbA1c Than Diabetes Device Use In School-Age Children With Type 1 Diabetes

The research analyses suggest parent DD is a strong predictor of child HbA1c and is another modifiable treatment target for lowering child HbA1c.

source: BMJ DRC

Summary

[Posted 19/Sep/2023]

AUDIENCE: Endocrinology, Pediatric, Family Medicine

KEY FINDINGS: The research analyses suggest parent DD is a strong predictor of child HbA1c and is another modifiable treatment target for lowering child HbA1c.

BACKGROUND: Diabetes distress (DD) describes the unrelenting emotional and behavioral challenges of living with, and caring for someone living with, type 1 diabetes (T1D). We investigated associations between parent-reported and child-reported DD, T1D device use, and child glycated hemoglobin (HbA1c) in 157 families of school-age children.

DETAILS: Parents completed the Parent Problem Areas in Diabetes-Child (PPAID-C) and children completed the Problem Areas in Diabetes-Child (PAID-C) to assess for DD levels. Parents also completed a demographic form where they reported current insulin pump or continuous glucose monitor (CGM) use (ie, user/non-user). Authors measured child HbA1c using a valid home kit and central laboratory. We used correlations and linear regression for our analyses. Children were 49% boys and 77.1% non-Hispanic white (child age (mean±SD)=10.2±1.5 years, T1D duration=3.8±2.4 years, HbA1c=7.96±1.62%). Most parents self-identified as mothers (89%) and as married (78%). Parents' mean PPAID-C score was 51.83±16.79 (range: 16-96) and children's mean PAID-C score was 31.59±12.39 (range: 11-66). Higher child HbA1c correlated with non-pump users (r=-0.16, p<0.05), higher PPAID-C scores (r=0.36, p<0.001) and higher PAID-C scores (r=0.24, p<0.001), but there was no association between child HbA1c and CGM use. A regression model predicting child HbA1c based on demographic variables, pump use, and parent-reported and child-reported DD suggested parents' PPAID-C score was the strongest predictor of child HbA1c.

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Copyright © BMJ Publishing Group Ltd. All rights reserved.

Source: Patton, S. R., Kahhan, N., Pierce, J. S., et al. (2023). Parental Diabetes Distress Is A Stronger Predictor Of Child HbA1c Than Diabetes Device Use In School-Age Children With Type 1 Diabetes. BMJ Open Diabetes Research and Care. 2023; 11(5): e003607. Published: September, 2023. DOI: 10.1136/bmjdrc-2023-003607.



A Simple Blood Test Warns of Possible Cardiometabolic Complications for Children With Obesity

Scientists from the University of Copenhagen have detected lipid biomarkers in children and teenagers with obesity that indicate an increased risk of developing type 2 diabetes, liver and heart disease as adults. A one-year lifestyle intervention lowered the levels of these lipid biomarkers, which demonstrates the importance of early intervention for children with obesity.

source: ScienceDaily

Summary

[Posted 2/Sep/2024]

AUDIENCE: Internal Medicine, Nursing

KEY FINDINGS: Scientists from the University of Copenhagen have detected lipid biomarkers in children and teenagers with obesity that indicate an increased risk of developing type 2 diabetes, liver and heart disease as adults. A one-year lifestyle intervention lowered the levels of these lipid biomarkers, which demonstrates the importance of early intervention for children with obesity.

BACKGROUND: The number of children and teens with obesity is increasing worldwide, with over 250 million expected to be affected by 2030. It is a major public health crisis, as children with obesity risk developing insulin resistance, fatty liver, and high blood pressure, which may lead to diseases such as cardiovascular disease, type 2 diabetes and liver disease, later in life.

DETAILS: Scientists think these diseases can be triggered by changes in the body's lipids -- a wide range of fats and oils in the body including triglycerides and cholesterol that serve many purposes including energy storage and cellular signalling. But it is still not well understood how lipid species change in children with obesity, and how they are linked to early cardiometabolic complications.

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Now, scientists at the University of Copenhagen have discovered that lipid species linked to cardiometabolic disease in adults are strongly associated with cardiometabolic risk factors in children and teenagers with obesity. The findings could pave the way for tests that serve as an early warning system for cardiometabolic disease.

"Our study shows that the impact of cardiometabolic associated lipid species emerges early in life in children with obesity, particularly affecting liver function and glucose metabolism. These risk lipid species could potentially be explored further as biomarkers for diagnosing or predicting cardiometabolic risk in children at high risk, offering new insights for early detection and intervention," says Postdoc Yun Huang from the Novo Nordisk Foundation Center for Basic Metabolic Research at the University of Copenhagen, and co-first author of the study in Nature Medicine.

Early intervention reverses cardiometabolic disease risk

The scientists made their discoveries by drawing on the HOLBAEK Study biobank of more than 4,000 children with and without obesity. at the Children's Obesity Clinic at Holbaek Hospital. Together with scientists at Steno Diabetes Center Copenhagen, they harnessed powerful mass spectrometry technology to map hundreds of individual lipid species, each with distinct structures and functions, providing a detailed picture of lipid metabolism. By analyzing the differences in the lipid profiles of 958 children with overweight or obesity and 373 who had normal weight, they gained deep insight into obesity altered lipid profiles and their link to cardiometabolic risk, and the ability to detect excessive fat in the liver.

Copyright © ScienceDaily or by other parties, where indicated. All rights reserved.

Source: University of Copenhagen - The Faculty of Health and Medical Sciences (2024). A Simple Blood Test Warns of Possible Cardiometabolic Complications for Children With Obesity. ScienceDaily. 2024; Published: September 20, 2024. DOI: 10.1038/s41591-024-03279-x.



Effect of SGLT2 Inhibitors on Heart Failure Outcomes and Cardiovascular Death Across the Cardiometabolic Disease Spectrum

SGLT2 inhibitors reduced heart failure events and cardiovascular death in patients with heart failure, type 2 diabetes, chronic kidney disease, and atherosclerotic cardiovascular disease. These effects were consistent across a wide range of subgroups within these populations. This supports the eligibility of a large population with cardiorenal-metabolic diseases for treatment with SGLT2 inhibitors.

source: The Lancet

Summary

A Systematic Review and Meta-Analysis

[Posted 14/Jul/2024]

AUDIENCE: Endocrinology, Cardiology

KEY FINDINGS: SGLT2 inhibitors reduced heart failure events and cardiovascular death in patients with heart failure, type 2 diabetes, chronic kidney disease, and atherosclerotic cardiovascular disease. These effects were consistent across a wide range of subgroups within these populations. This supports the eligibility of a large population with cardiorenal-metabolic diseases for treatment with SGLT2 inhibitors.

BACKGROUND: Sodium-glucose co-transporter-2 (SGLT2) inhibitors have been studied in patients with heart failure, type 2 diabetes, chronic kidney disease, atherosclerotic cardiovascular disease, and acute myocardial infarction. Individual trials were powered to study composite outcomes in one disease state. We aimed to evaluate the treatment effect of SGLT2 inhibitors on specific clinical endpoints across multiple demographic and disease subgroups.

DETAILS: In this systematic review and meta-analysis, authors queried online databases (PubMed, Cochrane CENTRAL, and SCOPUS) up to Feb 10, 2024, for primary and secondary analyses of large trials (n>1000) of SGLT2 inhibitors in patients with heart failure, type 2 diabetes, chronic kidney disease, and atherosclerotic cardiovascular disease (including acute myocardial infarction). Outcomes studied included composite of first hospitalisation for heart failure or cardiovascular death, first hospitalisation for heart failure, cardiovascular death, total (first and recurrent) hospitalisation for heart failure, and all-cause mortality. Effect sizes were pooled using random-effects models. Authors included 15 trials (N=100,952). Compared with placebo, SGLT2 inhibitors reduced the risk of first hospitalisation for heart failure by 29% in patients with heart failure (hazard ratio [HR] 0.71 [95% CI 0.67-0.77]), 28% in patients with type 2 diabetes (0.72 [0.67-0.77]), 32% in patients with chronic kidney disease (0.68 [0.61-0.77]), and 28% in patients with atherosclerotic cardiovascular disease (0.72 [0.66-0.79]). SGLT2 inhibitors reduced cardiovascular death by 14% in patients with heart failure (HR 0.86 [95% CI 0.79-0.93]), 15% in patients with type 2 diabetes (0.85 [0.79-0.91]), 11% in patients with chronic kidney disease (0.89 [0.82-0.96]), and 13% in patients with atherosclerotic cardiovascular disease (0.87 [0.78-0.97]). The benefit of SGLT2 inhibitors on both first hospitalisation for heart failure and cardiovascular death was consistent across the majority of the 51 subgroups studied. Notable exceptions included acute myocardial infarction (22% reduction in first hospitalisation for heart failure; no effect on cardiovascular death) and heart failure with preserved ejection fraction (26% reduction in first hospitalisation for heart failure; no effect on cardiovascular death).

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Copyright © Elsevier Ltd. All rights reserved.

Source: Usman, M. S., Bhatt, D. L., Hameed, I., et al. (2024). Effect of SGLT2 Inhibitors on Heart Failure Outcomes and Cardiovascular Death Across the Cardiometabolic Disease Spectrum: A Systematic Review and Meta-Analysis. The Lancet. 2024; Published: July, 2024. DOI: 10.1016/S2213-8587(24)00102-5.



MASLD and MASH At the Crossroads of Hepatology Trials and Cardiorenal Metabolic Trials

The challenge is defining the optimal combination of biomarkers, imaging and morbidity/mortality outcomes and ensuring that they are included in future trials while minimizing the burden on patients, trialists and trial sponsors. This paper provides an overview of some of the wide array of CV, liver and kidney measurements that were discussed at the MOSAIC meeting.

source: JIM

Summary

[Posted 12/Jul/2024]

AUDIENCE: Internal Medicine

KEY FINDINGS: The challenge is defining the optimal combination of biomarkers, imaging and morbidity/mortality outcomes and ensuring that they are included in future trials while minimizing the burden on patients, trialists and trial sponsors. This paper provides an overview of some of the wide array of CV, liver and kidney measurements that were discussed at the MOSAIC meeting.

BACKGROUND: Steatotic liver disease (SLD) is a worldwide public health problem, causing considerable morbidity and mortality. Patients with SLD are at increased risk for major adverse cardiovascular (CV) events, type 2 diabetes mellitus and chronic kidney disease.

DETAILS: Conversely, patients with cardiometabolic conditions have a high prevalence of SLD. In addition to epidemiological evidence linking many of these conditions, there is evidence of shared pathophysiological processes. In December 2022, a unique multi-stakeholder, multi-specialty meeting, called MOSAIC (Metabolic multi Organ Science Accelerating Innovation in Clinical Trials) was convened to foster collaboration across metabolic, hepatology, nephrology and CV disorders. One of the goals of the meeting was to consider approaches to drug development that would speed regulatory approval of treatments for multiple disorders by combining liver and cardiorenal endpoints within a single study. Non-invasive tests, including biomarkers and imaging, are needed in hepatic and cardiorenal trials. They can be used as trial endpoints, to enrich trial populations, to diagnose and risk stratify patients and to assess treatment efficacy and safety. Although they are used in proof of concept and phase 2 trials, they are often not acceptable for regulatory approval of therapies.

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Copyright © John Wiley & Sons, Inc. All rights reserved

Source: Zannad, F., Sanyal, A. J., Butler, J., et al. (2024). MASLD and MASH At the Crossroads of Hepatology Trials and Cardiorenal Metabolic Trials. Journal of Internal Medicine. 2024; 296(1): 24-38. Published: July, 2024. DOI: 10.1111/joim.13793.



Left Main Coronary Artery Calcium and Diabetes Confer Very-High-Risk Equivalence in Coronary Artery Calcium More Than 1,000

Among asymptomatic patients with a CAC of more than 1,000 without a prior index event, diabetes, and severe LM CAC define very high risk ASCVD, identifying individuals who may benefit from more intensive prevention therapies across several domains, including low-density lipoprotein-cholesterol lowering.

source: J Am Coll Cardiol Img

Summary

[Posted 5/Jul/2024]

AUDIENCE: Cardiology, Endocrinology

KEY FINDINGS: Among asymptomatic patients with a CAC of >=1,000 without a prior index event, diabetes, and severe LM CAC define very high risk ASCVD, identifying individuals who may benefit from more intensive prevention therapies across several domains, including low-density lipoprotein-cholesterol lowering.

BACKGROUND: Although a coronary artery calcium (CAC) of >=1,000 is a subclinical atherosclerosis threshold to consider combination lipid-lowering therapy, differentiating very high from high atherosclerotic cardiovascular disease (ASCVD) risk in this patient population is not well-defined. Among persons with a CAC of >=1,000, the authors sought to identify risk factors equating with very high-risk ASCVD mortality rates.

DETAILS: The authors studied 2,246 asymptomatic patients with a CAC of >=1,000 from the CAC Consortium without a prior ASCVD event. Cox proportional hazards regression modelling was performed for ASCVD mortality during a median follow-up of 11.3 years. Crude ASCVD mortality rates were compared with those reported for secondary prevention trial patients classified as very high risk, defined by >=2 major ASCVD events or 1 major event and >=2 high-risk conditions (1.4 per 100 person-years). The mean age was 66.6 years, 14% were female, and 10% were non-White. The median CAC score was 1,592 and 6% had severe left main (LM) CAC (vessel-specific CAC >=300). Diabetes (HR: 2.04 [95% CI: 1.47-2.83]) and severe LM CAC (HR: 2.32 [95% CI: 1.51-3.55]) were associated with ASCVD mortality. The ASCVD mortality per 100 person-years for all patients was 0.8 (95% CI: 0.7-0.9), although higher rates were observed for diabetes (1.4 [95% CI: 0.8-1.9]), severe LM CAC (1.3 [95% CI: 0.6-2.0]), and both diabetes and severe LM CAC (7.1 [95% CI: 3.4-10.8]).

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Copyright © American College of Cardiology Foundation. All rights reserved.

Source: Razavi, A. C., Shaw, L. J., Berman, D. S., et al. (2024). Left Main Coronary Artery Calcium and Diabetes Confer Very-High-Risk Equivalence in Coronary Artery Calcium > 1,000. JACC: Cardiovascular Imaging. 2024; 17(7): 766-776. Published: July 1, 2024. DOI: 10.1016/j.jcmg.2023.12.006.



High Incidence of Diabetes Mellitus After Distal Pancreatectomy and Its Predictors

Impaired glucose tolerance and reduced early-phase insulin response to glucose are involved in the development of new-onset diabetes after DP (Distal Pancreatectomy); the latter is an additional factor in the development of diabetes and becomes apparent when pancreatic beta cell mass is reduced after DP.

source: JCEM

Summary

A Long-term Follow-up Study

[Posted 26/Feb/2024]

AUDIENCE: Endocrinology, Nephrology

KEY FINDINGS: Impaired glucose tolerance and reduced early-phase insulin response to glucose are involved in the development of new-onset diabetes after DP; the latter is an additional factor in the development of diabetes and becomes apparent when pancreatic beta cell mass is reduced after DP.

BACKGROUND: Aim of this study is to investigate the changes in diabetes-related traits before and after DP and to clarify the incidence of diabetes and its predictors.

DETAILS: Among 493 registered patients, 117 underwent DP. Among these, 56 patients without diabetes before surgery were included in the study. Glucose and endocrine function were prospectively assessed using a 75-g oral glucose tolerance test preoperatively, 1 month after DP, and every 6 months thereafter for up to 36 months. Pancreatic volumetry was performed using multidetector row computed tomography before and after surgery. Insulin secretion decreased and blood glucose levels worsened after DP. Residual pancreatic volume was significantly associated with the reserve capacity of insulin secretion but not with blood glucose levels or the development of diabetes. Among 56 patients, 33 developed diabetes mellitus. The cumulative incidence of diabetes at 36 months after DP was 74.1%. Multivariate Cox regression analysis showed that impaired glucose tolerance as a preoperative factor as well as a decreased insulinogenic index and impaired glucose tolerance at 1 month postoperatively were identified as risk factors for diabetes following DP.

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Copyright © The Author(s). Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved.

Source: Imamura, S., Niwano. F., Babaya, N., et al. (2024). High Incidence of Diabetes Mellitus After Distal Pancreatectomy and Its Predictors: A Long-term Follow-up Study. The Journal of Clinical Endocrinology & Metabolism. 2024; 109(3): 619-630. Published: March, 2024. DOI: 10.1210/clinem/dgad634.



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