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Haley J, Woo JG, Jacobs DR, Bazzano L, Daniels S, Dwyer T, Juonala M, Raitakari O, Sinaiko A, Steinberger J, Venn A, Whitaker KM, Urbina EM. A Clinical Tool to Relate Youth Risk Factors to Adult Cardiovascular Events and Type 2 Diabetes: The i3C Consortium. J Pediatr 2024:114277. [PMID: 39233120 DOI: 10.1016/j.jpeds.2024.114277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 08/22/2024] [Accepted: 08/26/2024] [Indexed: 09/06/2024]
Abstract
OBJECTIVE To translate data relating childhood cardiovascular (CV) risk factors and adult CV disease and type 2 diabetes mellitus (T2DM) to clinically actionable values. STUDY DESIGN A prospective observational study (n=38,589) in the International Childhood Cardiovascular Cohort (i3C) Consortium. Children at age 3 through 19 years were enrolled in the 1970s and 1980s and followed for over 30 years. Five childhood CV risk factors (smoking, body mass index [BMI], systolic blood pressure [SBP], triglycerides [TG], and total cholesterol [TC]) were related to adult CV events. Secondary analyses in a subset included low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), glucose and insulin level. Age- and sex-specific z-scores were calculated for each risk factor, and a combined-risk z-score was calculated by averaging z-scores for the 5 key CV risk factors. Risk factor z-scores were back-transformed to natural units for clinical interpretation, with hazard ratios for adult CV events presented in color coded tables (green: no increased risk; orange: 1.4 to <2.0-fold increased risk; red: at least doubling of risk). Risk levels for development of adult T2DM based on BMI, glucose, and insulin were similarly calculated and presented. RESULTS Increased risk for CV events was observed at levels lower than currently defined abnormal clinical thresholds except for TC. Doubling of risk was observed at high normal levels just below the clinical cut point for abnormality. Risk for adult T2DM began at levels of BMI and glucose currently considered normal. CONCLUSION Based on data showing significant relationships between childhood CV risk factors and adult CV events and T2DM, this study shows that risk in childhood begins below levels currently considered normal.
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Affiliation(s)
- Jessica Haley
- Rady Children's Hospital, San Diego, CA; Department of Pediatrics, University of California, San Diego, CA.
| | - Jessica G Woo
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Lydia Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Stephen Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO; Children's Hospital Colorado, Aurora, CO
| | - Terry Dwyer
- The Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK; Murdoch Children's Research Institute, Heart Group, Melbourne, Australia; Menzies Institute for Medical Research, University of Tasmania
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku, Turku Finland; Turku University Hospital, Clinical Physiology and Nuclear Medicine, Turku, Finland
| | - Alan Sinaiko
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN
| | - Alison Venn
- Menzies Institute for Medical Research, University of Tasmania
| | - Kara M Whitaker
- Department of Health and Human Physiology and Department of Epidemiology, University of Iowa, Iowa City, IA
| | - Elaine M Urbina
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
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O'Connor EA, Evans CV, Henninger M, Redmond N, Senger CA. Interventions for Weight Management in Children and Adolescents: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2024; 332:233-248. [PMID: 38888913 DOI: 10.1001/jama.2024.6739] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Importance Body mass index (BMI) of the 95th or greater percentile for age and sex is common among young people, and its prevalence has increased in recent decades. Objective To examine the benefits and harms of weight management interventions initiated in health care settings among children and adolescents with high BMI. Data Sources MEDLINE via Ovid, PsycINFO via Ovid, and the Cochrane Central Registry of Controlled Trials through January 12, 2023; ongoing surveillance through January 26, 2024. Study Selection English-language studies of weight management interventions (behavioral and pharmacologic, including liraglutide, semaglutide, orlistat, and phentermine/topiramate) among children aged 2 to 18 years with high BMI (eg, ≥85th or ≥95th percentile for age and sex) conducted in or recruited from health care settings. Data Extraction and Synthesis One investigator abstracted data; a second checked for accuracy. Outcomes with sufficient evidence for meta-analysis were pooled using random-effects models. Main Outcomes and Measures BMI and other weight-related outcomes, cardiometabolic measures, quality of life, physical activity, dietary pattern scores, and harms. Results Fifty-eight randomized clinical trials (RCTs) were included (N = 10 143). Behavioral interventions were associated with small reductions in BMI and other weight outcomes after 6 to 12 months (28 RCTs [n = 4494]; mean difference in change between groups, -0.7 [95% CI, -1.0 to -0.3]). Larger effects were seen in interventions with higher contact hours and that offered physical activity sessions. Reporting was sparse for outcomes other than BMI, with few significant findings. Semaglutide and phentermine/topiramate had the largest effects on BMI (eg, 1 RCT [n = 201] for semaglutide; mean difference, -6.0 [95% CI, -7.3 to -4.6]). The very few studies that evaluated outcomes after medication discontinuation showed immediate weight regain. Gastrointestinal adverse effects were common with liraglutide, semaglutide, and orlistat. Serious adverse effects were rare, but no studies had follow-up longer than 17 months. Conclusions and Relevance In the short term, weight management interventions led to lower BMI in children and adolescents, with no evidence of serious harm. Evidence is lacking about how weight management interventions affect BMI beyond 1 year and after medication discontinuation and about longer-term effects on other outcomes.
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Affiliation(s)
- Elizabeth A O'Connor
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Corinne V Evans
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Michelle Henninger
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Nadia Redmond
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Caitlyn A Senger
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
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Urkia-Susin I, Guenetxea-Gorostiza J, Rada-Fernandez de Jauregui D, Mazquiaran-Bergera L, Martinez O, Maiz E. Development and validation of the baby eating behaviour coding system (BEBECS) to assess eating behaviour during complementary feeding. Appetite 2024; 196:107257. [PMID: 38364972 DOI: 10.1016/j.appet.2024.107257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/29/2024] [Accepted: 02/06/2024] [Indexed: 02/18/2024]
Abstract
Eating behaviour in children is a matter of study for which diverse tools have been designed. Coding systems for videotaped meals allow the extraction of detailed in vivo information; however, there is no tool available for infants following a Baby-Led Weaning (BLW) method. This study aimed to create and validate a new tool to assess eating behaviour in infants during weaning, applicable regardless of the complementary feeding method. The Baby Eating Behaviour Coding System (BEBECS) was developed comprising time variables, behaviours, feeder-led actions, and other meal-related variables. Sixty videos of infants aged 6-18 months following spoon-feeding (SF) or BLW methods were coded by two trained coders. These scores were analysed together with intake and maternal ratings of liking and calmness. Additionally, combined analysis and internal comparison assessed the possible differences in BEBECS variables between SF and BLW. Inter-rater and test-retest reliability had good to excellent agreement: Cohen's Kappa >0.75, Lin's CCC >0.70, and Intraclass Correlation Coefficient >0.75, for almost all variables. Infants' liking and intake of the offered food correlated positively with meal duration and total count of mouth approaches but negatively with having leftovers and time between mouth approaches. Infants' calmness and tiredness were negatively correlated. More food than initially offered was available during the meal in BLW but not in SF. There was a tendency towards more autonomous behaviour in BLW infants regarding changes observed in the time the food was in the mouth at each stage (6, 12, and 18 months). In conclusion, BEBECS has the potential to be a valid tool for application in the research of infant eating behaviour during weaning by trained coders.
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Affiliation(s)
- Iratxe Urkia-Susin
- Department of Pharmacy and Food Science (G3S Research Group), Faculty of Pharmacy, University of the Basque Country UPV/EHU, Unibertsitateko Ibilbidea 7, 01006, Vitoria-Gasteiz, Araba, Spain; Bioaraba Health Research Institute, Nutrition and Food Safety Group Araba University Hospital, Vitoria-Gasteiz, Spain.
| | - Jone Guenetxea-Gorostiza
- Department of Preventive Medicine and Public Health, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Unibertsitateko Ibilbidea 7, 01006, Vitoria-Gasteiz, Araba, Spain; Biogipuzkoa Health Research Institute, Mental Health Group, Donostia, Spain
| | - Diego Rada-Fernandez de Jauregui
- Bioaraba Health Research Institute, Nutrition and Food Safety Group Araba University Hospital, Vitoria-Gasteiz, Spain; Department of Preventive Medicine and Public Health, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Unibertsitateko Ibilbidea 7, 01006, Vitoria-Gasteiz, Araba, Spain
| | - Leire Mazquiaran-Bergera
- Department of Preventive Medicine and Public Health, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Unibertsitateko Ibilbidea 7, 01006, Vitoria-Gasteiz, Araba, Spain; Biogipuzkoa Health Research Institute, Mental Health Group, Donostia, Spain
| | - Olaia Martinez
- Department of Pharmacy and Food Science (G3S Research Group), Faculty of Pharmacy, University of the Basque Country UPV/EHU, Unibertsitateko Ibilbidea 7, 01006, Vitoria-Gasteiz, Araba, Spain; Bioaraba Health Research Institute, Nutrition and Food Safety Group Araba University Hospital, Vitoria-Gasteiz, Spain
| | - Edurne Maiz
- Biogipuzkoa Health Research Institute, Mental Health Group, Donostia, Spain; Department of Clinical and Health Psychology and Research Methodology, Faculty of Psychology, University of the Basque Country UPV/EHU, Tolosa Hiribidea 70, 20018, Donostia, Gipuzkoa, Spain
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Henson SE, Urbina EM. Use of lipid ratios to predict vascular target organ damage in youth. J Clin Lipidol 2024; 18:e444-e451. [PMID: 38462388 PMCID: PMC11209812 DOI: 10.1016/j.jacl.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 01/23/2024] [Accepted: 02/02/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Elevated lipid levels are risk factors for early atherosclerosis. Lipid ratios have emerged as potentially stronger predictors of adverse cardiovascular changes and atherogenic cholesterol. Risk stratification in youth with obesity or type 2 diabetes may be improved by using lipid ratios. We sought to determine if lipid ratios would identify abnormalities in arterial structure and stiffness in adolescents and young adults. METHODS A total of 762 youth aged 10-24 years had laboratory, anthropometric, blood pressure, and carotid intima-media thickness and arterial stiffness data collected. Subjects were stratified into tertiles (low, mid, high) of lipid ratios and non-high-density lipoprotein cholesterol (HDL-C). Vascular outcomes by tertile were assessed by analyses of variance. General linear models were constructed for each lipid value and included demographics, risk factors, and vascular measures. Correlations between lipid markers, vascular measures, and low-density lipoprotein (LDL) particle size and number were conducted. RESULTS There was a progressive increase in arterial thickness and stiffness across all three lipid ratios and non-HDL-C. The triglyceride to HDL-C (TG/HDL-C) ratio remained an independent predictor of arterial thickness and stiffness after adjusting for other cardiovascular risk factors. TG/HDL-C had the highest correlations with arterial stiffness and small, dense LDL. CONCLUSIONS Arterial stiffness is increased in youth with high lipid ratios with TG/HDL-C being the most consistent marker of vascular changes. These data suggest that identification of high TG/HDL-C in these individuals may lead to earlier intervention to prevent atherosclerotic cardiovascular disease.
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Affiliation(s)
- Sarah E Henson
- Cincinnati Children's Hospital Medical Center & the University of Cincinnati, USA (Drs Henson and Urbina).
| | - Elaine M Urbina
- Cincinnati Children's Hospital Medical Center & the University of Cincinnati, USA (Drs Henson and Urbina)
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Ramezankhani A, Azizi F, Hadaegh F. Tracking correlations and predictors of plasma glucose in young adulthood: A comprehensive analysis from adolescence to young adulthood in TLGS study. Diabetes Res Clin Pract 2024; 210:111632. [PMID: 38513988 DOI: 10.1016/j.diabres.2024.111632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/13/2024] [Accepted: 03/18/2024] [Indexed: 03/23/2024]
Abstract
AIMS We investigated the tracking correlations between fasting plasma glucose (FPG) in adolescence with both FPG and 2-hour post-load glucose (2 h-PG) in adulthood, and identified the predictors of FPG and 2 h-PG in young adulthood using traditional risk factors during adolescence and adulthood. METHODS We included 2188 participants (1033 male) from the Tehran lipid and glucose study within the age ranges 11-18 and 19-40 years during 1999-2018. The area under the curve (AUC) was computed using the growth curve models, and predictors were identified by the linear regression model. RESULTS The partial correlation between AUCs of FPG in adolescence and adulthood was 0.37 (P < 0.001). The correlation between AUCs of FPG in adolescence and 2 h-PG in adulthood was 0.17 (P < 0.001). The AUC of FPG was a significant positive predictor for both FPG and 2 h-PG in young adulthood. Other predictors of adult FPG included sex, as well as BMI and the ratio of triglycerides to HDL-cholesterol during both adolescence and adulthood. CONCLUSIONS Tracking correlation was observed for FPG, suggesting that monitoring and managing risk factors in adolescence may have implications for future glucose metabolism in young adulthood.
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Affiliation(s)
- Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Petito LC, McCabe ME, Pool LR, Krefman AE, Perak AM, Marino BS, Juonala M, Kähönen M, Lehtimäki T, Bazzano LA, Liu L, Pahkala K, Laitinen TT, Raitakari OT, Gooding HC, Daniels SR, Skinner AC, Greenland P, Davis MM, Wakschlag LS, Van Horn L, Hou L, Lloyd-Jones DM, Labarthe DR, Allen NB. A Proposed Pediatric Clinical Cardiovascular Health Reference Standard. Am J Prev Med 2024; 66:216-225. [PMID: 37751803 DOI: 10.1016/j.amepre.2023.09.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 09/19/2023] [Accepted: 09/19/2023] [Indexed: 09/28/2023]
Abstract
INTRODUCTION Clinical cardiovascular health is a construct that includes 4 health factors-systolic and diastolic blood pressure, fasting glucose, total cholesterol, and body mass index-which together provide an evidence-based, more holistic view of cardiovascular health risk in adults than each component separately. Currently, no pediatric version of this construct exists. This study sought to develop sex-specific charts of clinical cardiovascular health for age to describe current patterns of clinical cardiovascular health throughout childhood. METHODS Data were used from children and adolescents aged 8-19 years in six pooled childhood cohorts (19,261 participants, collected between 1972 and 2010) to create reference standards for fasting glucose and total cholesterol. Using the models for glucose and cholesterol as well as previously published reference standards for body mass index and blood pressure, clinical cardiovascular health charts were developed. All models were estimated using sex-specific random-effects linear regression, and modeling was performed during 2020-2022. RESULTS Models were created to generate charts with smoothed means, percentiles, and standard deviations of clinical cardiovascular health for each year of childhood. For example, a 10-year-old girl with a body mass index of 16 kg/m2 (30th percentile), blood pressure of 100/60 mm Hg (46th/50th), glucose of 80 mg/dL (31st), and total cholesterol of 160 mg/dL (46th) (lower implies better) would have a clinical cardiovascular health percentile of 62 (higher implies better). CONCLUSIONS Clinical cardiovascular health charts based on pediatric data offer a standardized approach to express clinical cardiovascular health as an age- and sex-standardized percentile for clinicians to assess cardiovascular health in childhood to consider preventive approaches at early ages and proactively optimize lifetime trajectories of cardiovascular health.
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Affiliation(s)
- Lucia C Petito
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois.
| | - Megan E McCabe
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois; Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa
| | - Lindsay R Pool
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Amy E Krefman
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Amanda M Perak
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois; Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
| | - Bradley S Marino
- Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland; Finnish Cardiovascular Research Center-Tampere - FCRCT, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Terho Lehtimäki
- Finnish Cardiovascular Research Center-Tampere - FCRCT, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Department of Clinical Chemistry, Fimlab Laboratories, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Lydia A Bazzano
- Department of Epidemiology, School of Public Health & Tropical Medicine, Tulane University, New Orleans, Los Angeles
| | - Lei Liu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Health and Physical Activity, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Tomi T Laitinen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Health and Physical Activity, University of Turku, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Holly C Gooding
- Division of General Pediatrics and Adolescent Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado Anschutz Medical Campus School of Medicine, Aurora, Colorado
| | - Asheley C Skinner
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Philip Greenland
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Matthew M Davis
- Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
| | - Lauren S Wakschlag
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, Illinois
| | - Linda Van Horn
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois; Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
| | - Darwin R Labarthe
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Norrina B Allen
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois; Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
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Koay WLA, Shiau S. Are we closer to better understanding risk factors for insulin resistance among children and adolescents with perinatally acquired HIV? AIDS 2024; 38:261-262. [PMID: 38116722 DOI: 10.1097/qad.0000000000003749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Affiliation(s)
- Wei Li Adeline Koay
- Division of Infectious Diseases, Department of Pediatrics, Medical University of South Carolina, Charleston, South Carolina
| | - Stephanie Shiau
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA
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Abbasi M, Tosur M, Astudillo M, Refaey A, Sabharwal A, Redondo MJ. Clinical Characterization of Data-Driven Diabetes Clusters of Pediatric Type 2 Diabetes. Pediatr Diabetes 2023; 2023:6955723. [PMID: 38694145 PMCID: PMC11062019 DOI: 10.1155/2023/6955723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2024] Open
Abstract
Background Pediatric Type 2 diabetes (T2D) is highly heterogeneous. Previous reports on adult-onset diabetes demonstrated the existence of diabetes clusters. Therefore, we set out to identify unique diabetes subgroups with distinct characteristics among youth with T2D using commonly available demographic, clinical, and biochemical data. Methods We performed data-driven cluster analysis (K-prototypes clustering) to characterize diabetes subtypes in pediatrics using a dataset with 722 children and adolescents with autoantibody-negative T2D. The six variables included in our analysis were sex, race/ethnicity, age, BMI Z-score and hemoglobin A1c at the time of diagnosis, and non-HDL cholesterol within first year of diagnosis. Results We identified five distinct clusters of pediatric T2D, with different features, treatment regimens and risk of diabetes complications: Cluster 1 was characterized by higher A1c; Cluster 2, by higher non-HDL; Cluster 3, by lower age at diagnosis and lower A1c; Cluster 4, by lower BMI and higher A1c; and Cluster 5, by lower A1c and higher age. Youth in Cluster 1 had the highest rate of diabetic ketoacidosis (DKA) (p = 0.0001) and were most prescribed metformin (p = 0.06). Those in Cluster 2 were most prone to polycystic ovarian syndrome (p = 0.001). Younger individuals with lowest family history of diabetes were least frequently diagnosed with diabetic ketoacidosis (p = 0.001) and microalbuminuria (p = 0.06). Low-BMI individuals with higher A1c had the lowest prevalence of acanthosis nigricans (p = 0.0003) and hypertension (p = 0.03). Conclusions Utilizing clinical measures gathered at the time of diabetes diagnosis can be used to identify subgroups of pediatric T2D with prognostic value. Consequently, this advancement contributes to the progression and wider implementation of precision medicine in diabetes management.
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Affiliation(s)
- Mahsan Abbasi
- Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Mustafa Tosur
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
- Children’s Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Marcela Astudillo
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
| | - Ahmad Refaey
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
| | | | - Maria J. Redondo
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
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Hammel MC, Stein R, Kratzsch J, Vogel M, Eckert AJ, Triatin RD, Colombo M, Meigen C, Baber R, Stanik J, Spielau U, Stoltze A, Wirkner K, Tönjes A, Snieder H, Holl RW, Stumvoll M, Blüher M, Kiess W, Körner A. Fasting indices of glucose-insulin-metabolism across life span and prediction of glycemic deterioration in children with obesity from new diagnostic cut-offs. THE LANCET REGIONAL HEALTH. EUROPE 2023; 30:100652. [PMID: 37465325 PMCID: PMC10350850 DOI: 10.1016/j.lanepe.2023.100652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/25/2023] [Accepted: 04/27/2023] [Indexed: 07/20/2023]
Abstract
Background Fasting indices of glucose-insulin-metabolism are an easy and affordable tool to assess insulin resistance. We aimed to establish reference ranges for fasting insulin indices that reflect age-dependent variation over the entire life span and subsequently test their clinical application regarding the prediction of glycemic deterioration in children. Methods We calculated age- and puberty-dependent reference values for HOMA-IR, HOMA2-IR, HOMA-β, McAuley index, fasting insulin, and fasting glucose from 6994 observations of 5512 non-obese healthy subjects aged 5-80 years. Applying those references, we determined the prevalence of insulin resistance among 2538 subjects with obesity. Furthermore, we investigated the intraindividual stability and the predictive values for future dysglycemia of these fasting indices in 516 children and adolescents with obesity up to 19 years of follow-up. We validated the results in three independent cohorts. Findings There was a strong age-dependent variation of all indices throughout the life span, including prolonged recovery of pubertal insulin resistance and a subsequent continuous increase throughout adulthood. Already from age 5 years onwards, >40% of children with obesity presented with elevated parameters of insulin resistance. Applying newly developed reference ranges, insulin resistance among children with obesity doubled the risk for future glycemic deterioration (HOMA-IR HR 1.88 (95% CI 1.1-3.21)), fasting insulin HR 1.89 (95% CI 1.11-3.23). In contrast, fasting glucose alone was not predictive for emerging dysglycemia in children with obesity (HR 1.03 (95% CI 0.62-1.71)). The new insulin-based thresholds were superior to fasting glucose and HbA1c in detecting children eventually manifesting with dysglycemia in prospective analyses. Interpretation The variation of fasting glucose-insulin-metabolism across the life span necessitates age-specific reference ranges. The improved prediction of future glycemic deterioration by indices based on fasting insulin beyond simple glucose measures alone could help to stratify risk characteristics of children with obesity in order to guide patient-tailored prevention and intervention approaches. Funding German Research Foundation (DFG)-through SFB 1052, project number 209933838, subproject C5; Federal Ministry of Education and Research, Germany; European Union-European Regional Development Fund; Free State of Saxony. The German Diabetes Association, the CarbHealth consortium (01EA1908B). EU-IMI2-Consortium SOPHIA (grant agreement No 875534), German Center for Diabetes Research (DZD), grant number 82DZD14E03.
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Affiliation(s)
- Maximiliane Chiara Hammel
- Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, University of Leipzig, Leipzig, Germany
| | - Robert Stein
- Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, University of Leipzig, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Germany
| | - Jürgen Kratzsch
- Medical Faculty, Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnosis, University of Leipzig, Leipzig, Germany
| | - Mandy Vogel
- LIFE Child Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Alexander J. Eckert
- University of Ulm, Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Rima Destya Triatin
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marco Colombo
- Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, University of Leipzig, Leipzig, Germany
| | - Christof Meigen
- LIFE Child Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Ronny Baber
- Medical Faculty, Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnosis, University of Leipzig, Leipzig, Germany
- LIFE Child Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Juraj Stanik
- Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, University of Leipzig, Leipzig, Germany
- Medical Faculty, Department of Pediatrics, and DIABGENE Laboratory, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Comenius University, Bratislava, Slovakia
| | - Ulrike Spielau
- Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, University of Leipzig, Leipzig, Germany
| | - Anette Stoltze
- Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, University of Leipzig, Leipzig, Germany
| | - Kerstin Wirkner
- LIFE Child Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Anke Tönjes
- Department of Endocrinology, Nephrology und Rheumatic Diseases, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Reinhard W. Holl
- University of Ulm, Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Michael Stumvoll
- Department of Endocrinology, Nephrology und Rheumatic Diseases, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Germany
- Department of Endocrinology, Nephrology und Rheumatic Diseases, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Wieland Kiess
- Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, University of Leipzig, Leipzig, Germany
- LIFE Child Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Antje Körner
- Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, University of Leipzig, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Germany
- LIFE Child Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
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10
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Chung ST, Krenek A, Magge SN. Childhood Obesity and Cardiovascular Disease Risk. Curr Atheroscler Rep 2023:10.1007/s11883-023-01111-4. [PMID: 37256483 DOI: 10.1007/s11883-023-01111-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/10/2023] [Indexed: 06/01/2023]
Abstract
PURPOSE OF REVIEW The global epidemic of youth-onset obesity is tightly linked to the rising burden of cardiometabolic disease across the lifespan. While the link between childhood obesity and cardiovascular disease is established, this contemporary review summarizes recent and novel advances in this field that elucidate the mechanisms and impact of this public health issue. RECENT FINDINGS The review highlights the emerging data supporting the relationship between childhood adverse events, social determinants of health, and systemic and institutional systems as etiological factors. We also provide updates on new screening and treatment approaches including updated nutrition and dietary guidelines and benchmarks for pediatric obesity screening, novel pharmacological agents for pediatric obesity and type 2 diabetes such as glucagon-like 1 peptide receptor agonists, and we discuss the long-term safety and efficacy data on surgical management of pediatric obesity. The global burden of pediatric obesity continues to rise and is associated with accelerated and early vascular aging especially in youth with obesity and type 2 diabetes. Socio-ecological determinants of risk mediate and moderate the relationship of childhood obesity with cardiometabolic disease. Recognizing the importance of neighborhood level influences as etiological factors in the development of cardiovascular disease is critical for designing effective policies and interventions. Novel surgical and pharmacological interventions are effective pediatric weight-loss interventions, but future research is needed to assess whether these agents, within a socio-ecological framework, will be associated with abatement of the pediatric obesity epidemic and related increased cardiovascular disease risk.
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Affiliation(s)
- Stephanie T Chung
- Section on Pediatric Diabetes and Metabolism, National Institute of Diabetes & Digestive & Kidney Disease, NIH Bethesda, Bethesda, MD, USA
| | - Andrea Krenek
- Section on Pediatric Diabetes and Metabolism, National Institute of Diabetes & Digestive & Kidney Disease, NIH Bethesda, Bethesda, MD, USA
| | - Sheela N Magge
- Division of Pediatric Endocrinology and Diabetes, Johns Hopkins University School of Medicine, 200 N. Wolfe Street, Rubenstein Bldg, Rm 3114, Baltimore, MD, 21287, USA.
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11
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Jiang J, Wang H, Liu K, He S, Li Z, Yuan Y, Yu K, Long P, Wang J, Diao T, Zhang X, He M, Guo H, Wu T. Association of Complement C3 With Incident Type 2 Diabetes and the Mediating Role of BMI: A 10-Year Follow-Up Study. J Clin Endocrinol Metab 2023; 108:736-744. [PMID: 36205019 DOI: 10.1210/clinem/dgac586] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 10/01/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Impairment of immune and inflammatory homeostasis is reported to be one of the causal factors of diabetes. However, the association of complement C3 levels with incident diabetes in humans remains unclear. OBJECTIVE This study aimed to examine the association between C3 levels and incident type 2 diabetes mellitus (T2DM), and further explore the potential mediating role of body mass index (BMI) in C3-T2DM associations. METHODS We determined serum C3 levels of 2662 nondiabetic middle-aged and elderly (64.62 ± 7.25 years) individuals from the Dongfeng-Tongji cohort at baseline. Cox regression was employed to examine the incidence of T2DM in relationship to C3 levels during 10 years of follow-up. Mediation analysis was further applied to assess potential effect of BMI on the C3-T2DM associations. RESULTS Overall, 711 (26.7%) participants developed T2DM during 23 067 person-years of follow-up. Higher serum C3 was significantly associated with higher risk of incident T2DM after full adjustment (HR [95% CI] = 1.16 [1.05, 1.27]; per SD higher). Compared with the first quartile of C3 levels, the HR in the fourth quartile was 1.52 (95% CI = [1.14, 2.02]; Ptrend = 0.029). Robust significant linear dose-response relationship was observed between C3 levels and BMI (Poverall < 0.001, Pnonlinear = 0.96). Mediation analyses indicated that BMI might mediate 41.0% of the associations between C3 and T2DM. CONCLUSION The present prospective study revealed that C3 could be an early biomarker for incident T2DM, and that BMI might play a potential mediating role in the C3-T2DM associations, which provided clues for the pathogenesis of diabetes.
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Affiliation(s)
- Jing Jiang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hao Wang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kang Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Shiqi He
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhaoyang Li
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yu Yuan
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kuai Yu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Pinpin Long
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jing Wang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tingyue Diao
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Meian He
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huan Guo
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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12
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Batson T, Lee J, Kindler JM, Pollock NK, Barbe MF, Modlesky CM. Cardiometabolic Risk and Its Relationship With Visceral Adiposity in Children With Cerebral Palsy. J Endocr Soc 2023; 7:bvad014. [PMID: 36819461 PMCID: PMC9936959 DOI: 10.1210/jendso/bvad014] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Indexed: 02/05/2023] Open
Abstract
Context Adults with cerebral palsy (CP) display a higher prevalence of cardiometabolic disease compared with the general population. Studies examining cardiometabolic disease risk in children with CP are limited. Objective The purpose of this study was to determine if children with CP exhibit higher cardiometabolic risk than typically developing children, and to examine its relationship with visceral adiposity and physical activity. Methods Thirty ambulatory children with CP and 30 age-, sex-, and race-matched typically developing control children were tested for blood lipids, glucose, and the homeostatic model assessment of insulin resistance (HOMA-IR). Visceral fat was assessed using dual-energy x-ray absorptiometry. Physical activity was assessed using accelerometer-based monitors. Results Children with CP had higher total cholesterol, low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol (non-HDL-C), glucose, prevalence of dyslipidemia, prevalence of prediabetes, and visceral fat mass index (VFMI) and lower physical activity than controls (all P < .05). In the groups combined, non-HDL-C and glucose were positively related to VFMI (r = 0.337 and 0.313, respectively, P < .05), and non-HDL-C and HOMA-IR were negatively related to physical activity (r = -0.411 and -0.368, respectively, P < .05). HOMA-IR was positively related to VFMI in children with CP (r = 0.698, P < .05), but not in controls. Glucose was not related to physical activity in children with CP, but it was negatively related in controls (r = -0.454, P < .05). Conclusion Children with CP demonstrate early signs of cardiometabolic disease, which are more closely related to increased visceral adiposity than decreased physical activity.
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Affiliation(s)
- Trevor Batson
- Department of Kinesiology, University of Georgia, Athens, GA 30602, USA
| | - Junsoo Lee
- Department of Kinesiology, University of Georgia, Athens, GA 30602, USA
| | - Joseph M Kindler
- Department of Nutritional Sciences, University of Georgia, Athens, GA 30602, USA
| | - Norman K Pollock
- Department of Pediatrics, Boston Medical Center, Boston, MA 02119, USA
| | - Mary F Barbe
- Department of Anatomy and Cell Biology, Temple University School of Medicine, Philadelphia, PA 19140, USA
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13
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Vajravelu ME, Hirschfeld E, Gebremariam A, Burant CF, Herman WH, Peterson KE, Meijer JL, Lee JM. Prospective Test Performance of Nonfasting Biomarkers to Identify Dysglycemia in Children and Adolescents. Horm Res Paediatr 2022; 96:316-324. [PMID: 36380614 PMCID: PMC10183477 DOI: 10.1159/000528043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 11/02/2022] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Test performance screening measures for dysglycemia have not been evaluated prospectively in youth. This study evaluated the prospective test performance of random glucose (RG), 1-h nonfasting glucose challenge test (1-h GCT), hemoglobin A1c (HbA1c), fructosamine (FA), and 1,5-anhydroglucitol (1,5-AG) for identifying dysglycemia. METHODS Youth ages 8-17 years with overweight or obesity (body mass index, BMI, ≥85th percentile) without known diabetes completed nonfasting tests at baseline (n = 176) and returned an average of 1.1 years later for two formal fasting 2-h oral glucose tolerance tests. Outcomes included glucose-defined dysglycemia (fasting plasma glucose ≥100 mg/dL or 2-h plasma glucose ≥140 mg/dL) or elevated HbA1c (≥5.7%). Longitudinal test performance was evaluated using receiver-operating characteristic (ROC) curves and calculation of area under the curve (AUC). RESULTS Glucose-defined dysglycemia, elevated HbA1c, and either dysglycemia or elevated HbA1c were present in 15 (8.5%), 11 (6.3%), and 23 (13.1%) participants at baseline, and 16 (9.1%), 18 (10.3%), and 28 (15.9%) participants at follow-up. For prediction of glucose-defined dysglycemia at follow-up, RG, 1-h GCT, and HbA1c had similar performance (0.68 (95% CI: 0.55-0.80), 0.76 (95% CI: 0.64-0.89), and 0.70 (95% CI: 0.56-0.84)), while FA and 1,5-AG performed poorly. For prediction of HbA1c at follow-up, baseline HbA1c had strong performance (AUC 0.93 [95% CI: 0.88-0.98]), RG had moderate performance (AUC 0.67 [95% CI: 0.54-0.79]), while 1-h GCT, FA, and 1,5-AG performed poorly. CONCLUSION HbA1c and nonfasting glucose tests had reasonable longitudinal discrimination identifying adolescents at risk for dysglycemia, but performance depended on outcome definition.
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Affiliation(s)
- Mary Ellen Vajravelu
- Division of Pediatric Endocrinology, Diabetes and Metabolism, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Center for Pediatric Research in Obesity and Metabolism, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Emily Hirschfeld
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Acham Gebremariam
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Charles F. Burant
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - William H. Herman
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Karen E. Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Jennifer L. Meijer
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Weight and Wellness Center, Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Joyce M. Lee
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
- Division of Pediatric Endocrinology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
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14
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Javidi H, Mariam A, Khademi G, Zabor EC, Zhao R, Radivoyevitch T, Rotroff DM. Identification of robust deep neural network models of longitudinal clinical measurements. NPJ Digit Med 2022; 5:106. [PMID: 35896817 PMCID: PMC9329311 DOI: 10.1038/s41746-022-00651-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 07/06/2022] [Indexed: 11/09/2022] Open
Abstract
Deep learning (DL) from electronic health records holds promise for disease prediction, but systematic methods for learning from simulated longitudinal clinical measurements have yet to be reported. We compared nine DL frameworks using simulated body mass index (BMI), glucose, and systolic blood pressure trajectories, independently isolated shape and magnitude changes, and evaluated model performance across various parameters (e.g., irregularity, missingness). Overall, discrimination based on variation in shape was more challenging than magnitude. Time-series forest-convolutional neural networks (TSF-CNN) and Gramian angular field(GAF)-CNN outperformed other approaches (P < 0.05) with overall area-under-the-curve (AUCs) of 0.93 for both models, and 0.92 and 0.89 for variation in magnitude and shape with up to 50% missing data. Furthermore, in a real-world assessment, the TSF-CNN model predicted T2D with AUCs reaching 0.72 using only BMI trajectories. In conclusion, we performed an extensive evaluation of DL approaches and identified robust modeling frameworks for disease prediction based on longitudinal clinical measurements.
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Affiliation(s)
- Hamed Javidi
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH, USA
| | - Arshiya Mariam
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Gholamreza Khademi
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Emily C Zabor
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ran Zhao
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Tomas Radivoyevitch
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Daniel M Rotroff
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
- Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH, USA.
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH, USA.
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA.
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15
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Jacobs DR, Woo JG, Sinaiko AR, Daniels SR, Ikonen J, Juonala M, Kartiosuo N, Lehtimäki T, Magnussen CG, Viikari JSA, Zhang N, Bazzano LA, Burns TL, Prineas RJ, Steinberger J, Urbina EM, Venn AJ, Raitakari OT, Dwyer T. Childhood Cardiovascular Risk Factors and Adult Cardiovascular Events. N Engl J Med 2022; 386:1877-1888. [PMID: 35373933 PMCID: PMC9563825 DOI: 10.1056/nejmoa2109191] [Citation(s) in RCA: 231] [Impact Index Per Article: 115.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Childhood cardiovascular risk factors predict subclinical adult cardiovascular disease, but links to clinical events are unclear. METHODS In a prospective cohort study involving participants in the International Childhood Cardiovascular Cohort (i3C) Consortium, we evaluated whether childhood risk factors (at the ages of 3 to 19 years) were associated with cardiovascular events in adulthood after a mean follow-up of 35 years. Body-mass index, systolic blood pressure, total cholesterol level, triglyceride level, and youth smoking were analyzed with the use of i3C-derived age- and sex-specific z scores and with a combined-risk z score that was calculated as the unweighted mean of the five risk z scores. An algebraically comparable adult combined-risk z score (before any cardiovascular event) was analyzed jointly with the childhood risk factors. Study outcomes were fatal cardiovascular events and fatal or nonfatal cardiovascular events, and analyses were performed after multiple imputation with the use of proportional-hazards regression. RESULTS In the analysis of 319 fatal cardiovascular events that occurred among 38,589 participants (49.7% male and 15.0% Black; mean [±SD] age at childhood visits, 11.8±3.1 years), the hazard ratios for a fatal cardiovascular event in adulthood ranged from 1.30 (95% confidence interval [CI], 1.14 to 1.47) per unit increase in the z score for total cholesterol level to 1.61 (95% CI, 1.21 to 2.13) for youth smoking (yes vs. no). The hazard ratio for a fatal cardiovascular event with respect to the combined-risk z score was 2.71 (95% CI, 2.23 to 3.29) per unit increase. The hazard ratios and their 95% confidence intervals in the analyses of fatal cardiovascular events were similar to those in the analyses of 779 fatal or nonfatal cardiovascular events that occurred among 20,656 participants who could be evaluated for this outcome. In the analysis of 115 fatal cardiovascular events that occurred in a subgroup of 13,401 participants (31.0±5.6 years of age at the adult measurement) who had data on adult risk factors, the adjusted hazard ratio with respect to the childhood combined-risk z score was 3.54 (95% CI, 2.57 to 4.87) per unit increase, and the mutually adjusted hazard ratio with respect to the change in the combined-risk z score from childhood to adulthood was 2.88 (95% CI, 2.06 to 4.05) per unit increase. The results were similar in the analysis of 524 fatal or nonfatal cardiovascular events. CONCLUSIONS In this prospective cohort study, childhood risk factors and the change in the combined-risk z score between childhood and adulthood were associated with cardiovascular events in midlife. (Funded by the National Institutes of Health.).
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Affiliation(s)
- David R Jacobs
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Jessica G Woo
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Alan R Sinaiko
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Stephen R Daniels
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Johanna Ikonen
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Markus Juonala
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Noora Kartiosuo
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Terho Lehtimäki
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Costan G Magnussen
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Jorma S A Viikari
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Nanhua Zhang
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Lydia A Bazzano
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Trudy L Burns
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Ronald J Prineas
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Julia Steinberger
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Elaine M Urbina
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Alison J Venn
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Olli T Raitakari
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
| | - Terence Dwyer
- From the Division of Epidemiology and Community Health, School of Public Health (D.R.J.), and the Department of Pediatrics, University of Minnesota Medical School (A.R.S., J.S.), University of Minnesota, Minneapolis; the Division of Biostatistics and Epidemiology (J.G.W., N.Z.), and the Heart Institute (E.M.U.), Cincinnati Children's Hospital Medical Center, and the Department of Pediatrics, University of Cincinnati College of Medicine (J.G.W., N.Z., E.M.U.) - both in Cincinnati; the Department of Pediatrics, University of Colorado School of Medicine, and Anschutz Medical Campus, Children's Hospital Colorado - both in Aurora (S.R.D.); the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Research Center of Applied and Preventive Cardiovascular Medicine (J.I., N.K., C.G.M., O.T.R.), and the Departments of Medicine (M.J., J.S.A.V.) and Mathematics and Statistics (N.K.), University of Turku, and the Center for Population Health Research (J.I., N.K., C.G.M., O.T.R.), the Division of Medicine (M.J., J.S.A.V.), and the Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Turku, and the Department of Clinical Chemistry, Fimlab Laboratories, and the Finnish Cardiovascular Research Center, and the Faculty of Medicine and Health Technology, Tampere University, Tampere (T.L.) - all in Finland; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS (C.G.M., A.J.V., T.D.), and the Heart Research Group, Murdoch Children's Research Institute, Melbourne, VIC (T.D.) - both in Australia; the School of Public Health and Tropical Medicine, Tulane University, New Orleans (L.A.B.); the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.); the Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (R.J.P.); and the Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (T.D.)
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16
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Harnois-Leblanc S, Van Hulst A, Ybarra M, Barnett TA, Mathieu MÈ, McGrath JJ, Tremblay A, Paradis G, Drapeau V, Sylvestre MP, Henderson M. Natural history and determinants of dysglycemia in Canadian children with parental obesity from ages 8-10 to 15-17 years: The QUALITY cohort. Pediatr Diabetes 2022; 23:274-285. [PMID: 35023257 DOI: 10.1111/pedi.13315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 01/07/2022] [Accepted: 01/09/2022] [Indexed: 11/27/2022] Open
Abstract
In children, the mechanisms implicated in deterioration of glucose homeostasis versus reversion to normal glucose tolerance (NGT) remain uncertain. We aimed to describe the natural history of dysglycemia from childhood to late adolescence and to identify its early determinants. We used baseline (8-10 years, n = 630), 1st follow-up (10-12 years, n = 564) and 2nd follow-up (15-17 years, n = 377) data from the QUALITY cohort of White Canadian children with parental obesity. Children underwent a 2-h oral glucose tolerance test at each cycle with plasma glucose and insulin measured at 0/30/60/90/120 min. American Diabetes Association criteria defined dysglycemia (impaired fasting glucose, impaired glucose tolerance or type 2 diabetes). Longitudinal patterns of insulin sensitivity and beta-cell function were estimated using generalized additive mixed models. Model averaging identified biological, sociodemographic and lifestyle-related determinants of dysglycemia. Of the children NGT at baseline, 66 (21%) developed dysglycemia without reverting to NGT. Among children with dysglycemia at baseline, 24 (73%) reverted to NGT. In children with dysglycemia at 1st follow-up, 18 (53%) later reverted to NGT. Among biological, sociodemographic and lifestyle determinants at 8-10 years, only fasting and 2-h glucose were associated with developing dysglycemia (odds ratio [95% CI] per 1 mmol/L increase: 4.50 [1.06; 19.02] and 1.74 [1.11; 2.73], respectively). Beta-cell function decreased by 40% in children with overweight or obesity. In conclusion, up to 75% of children with dysglycemia reverted to NGT during puberty. Children with higher fasting and 2-h glucose were at higher risk for progression to dysglycemia, while no demographic/lifestyle determinants were identified.
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Affiliation(s)
- Soren Harnois-Leblanc
- School of Public Health, Université de Montréal, Montréal, Québec, Canada.,Research Center of Centre Hospitalier Universitaire Sainte-Justine, Montréal, Québec, Canada.,Research Centre of Centre Hospitalier Universitaire de Montréal, Montréal, Québec, Canada
| | - Andraea Van Hulst
- Ingram School of Nursing, McGill University, Montréal, Québec, Canada
| | - Marina Ybarra
- Research Center of Centre Hospitalier Universitaire Sainte-Justine, Montréal, Québec, Canada
| | - Tracie A Barnett
- Research Center of Centre Hospitalier Universitaire Sainte-Justine, Montréal, Québec, Canada.,Department of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montréal, Québec, Canada
| | - Marie-Ève Mathieu
- Research Center of Centre Hospitalier Universitaire Sainte-Justine, Montréal, Québec, Canada.,School of Kinesiology and Physical Activity Sciences, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Jennifer J McGrath
- PERFORM Centre and Department of Psychology, Faculty of Arts and Science, Concordia University, Montréal, Québec, Canada
| | - Angelo Tremblay
- Department of Kinesiology, Faculty of Medicine, Université Laval, Québec City, Québec, Canada
| | - Gilles Paradis
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montréal, Québec, Canada
| | - Vicky Drapeau
- Department of Physical Education, Faculty of Education, Université Laval, Québec City, Québec, Canada
| | - Marie-Pierre Sylvestre
- School of Public Health, Université de Montréal, Montréal, Québec, Canada.,Research Centre of Centre Hospitalier Universitaire de Montréal, Montréal, Québec, Canada
| | - Mélanie Henderson
- School of Public Health, Université de Montréal, Montréal, Québec, Canada.,Research Center of Centre Hospitalier Universitaire Sainte-Justine, Montréal, Québec, Canada.,Department of Pediatrics, Faculty of Medicine, Université de Montreal, Montréal, Québec, Canada
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17
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Chen W, Yao D, Yan H, Wang M, Pan Y. Genetically predicted childhood obesity and adult atrial fibrillation: A mendelian randomization study. Nutr Metab Cardiovasc Dis 2022; 32:1019-1026. [PMID: 35086764 DOI: 10.1016/j.numecd.2021.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND AIMS It is unclear whether the association of childhood obesity with adult atrial fibrillation observed in observational studies reflects causal effects. The aim of this study was to evaluate the association of childhood obesity with adult atrial fibrillation using genetic instruments. METHODS AND RESULTS We used a two-sample Mendelian randomization (MR) design to evaluate the association between childhood obesity and adult atrial fibrillation. Two sets of genetic variants (15 single nucleotide polymorphisms [SNPs] for childhood body mass index [BMI] and 12 SNPs for dichotomous childhood obesity) were selected as instruments. Summary data on SNP-childhood obesity and SNP-atrial fibrillation associations were obtained from recently published genome-wide association studies. Effect estimates were evaluated using inverse-variance weighted (IVW) methods. Other MR analyses, including MR-Egger, simple and weighted median, weighted MBE and MR-PRESSO methods were performed in sensitivity analyses. The IVW models showed that both a genetically predicted one-standard deviation increase in childhood BMI (kg/m2) and higher log-odds of childhood obesity were associated with a substantial increase in the risk of atrial fibrillation (OR = 1.22, 95% CI: 1.11-1.34, P < 0.001; OR = 1.09, 95% CI: 1.04-1.14, P < 0.001). MR-Egger regression showed no evidence of genetic pleiotropy for childhood BMI (intercept = 0.000, 95% CI: -0.024 to 0.023), but for childhood obesity (intercept = -0.036, 95% CI: -0.057 to -0.015). Similar results were observed using leave-one-out and other MR methods in sensitivity analyses. CONCLUSIONS This MR analysis found a consistent association between genetically predicted childhood obesity and an increased risk of adult atrial fibrillation. Further research is warranted to validate our findings.
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Affiliation(s)
- Weiqi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dongxiao Yao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China.
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18
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Zhu Y, Guo P, Zou Z, Li X, Cao M, Ma J, Jing J. Status of Cardiovascular Health in Chinese Children and Adolescents. JACC: ASIA 2022; 2:87-100. [PMID: 36340258 PMCID: PMC9627810 DOI: 10.1016/j.jacasi.2021.09.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/15/2021] [Accepted: 09/19/2021] [Indexed: 01/14/2023]
Abstract
Background The American Heart Association defined “ideal cardiovascular health (CVH)” in pediatric populations to promote primordial prevention in cardiovascular diseases. Little is known about CVH and associated sociodemographic factors among Chinese children and adolescents. Objectives This study aimed to evaluate CVH and the associations with sociodemographic characteristics in Chinese children and adolescents. Methods This cross-sectional study analyzed baseline data of 15,583 participants aged 7 to 17 years from a Chinese national intervention program against obesity (2013-2014). CVH status was estimated according to 4 health behaviors (nonsmoking, body mass index, physical activity, and diet) and 3 health factors (total cholesterol, blood pressure, and fasting plasma glucose), using revised American Heart Association criteria. Multinomial logistic regression was used to assess the association between sociodemographic characteristics and the number of ideal CVH metrics. Results The prevalence of ideal CVH status was 1.7% (males: 1.9%; females: 1.6%) in the study population. The prevalence of ideal CVH behaviors and ideal health factors was 3.1% (males 3.3%; females: 3.0%) and 53.6% (males: 52.4%; females: 54.9%), respectively. Ideal fasting plasma glucose was the most prevalent component (males: 94.4%; females: 97.4%), whereas ideal physical activity (males: 34.6%; females: 23.9%) and diet (males: 28.3%; females: 30.1%) were the least prevalent. Female sex, younger age, undeveloped economy, residence in the southern region, and no family history of cardiovascular diseases were associated with more ideal CVH metrics. Conclusions Ideal CVH status in Chinese children and adolescents is alarmingly rare. Physical activity and diet are key to promotion of CVH. Effective interventions are needed to promote CVH and reduce health disparities in early life.
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19
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DeLacey S, Josefson JL. A Mini-Review of Pediatric Anthropometrics as Predictors of Future Insulin Resistance. Front Endocrinol (Lausanne) 2022; 13:826430. [PMID: 35185801 PMCID: PMC8848350 DOI: 10.3389/fendo.2022.826430] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/07/2022] [Indexed: 12/16/2022] Open
Abstract
The impact of rising rates of childhood obesity is far reaching. Metabolic syndrome in children is increasing, yet for most children the consequences of excess adiposity will manifest in adulthood. Excess early fat accrual is a risk factor for future insulin resistance. However, certain types of fat and patterns of fat distribution are more relevant than others to metabolic risk. Therefore, adiposity measures are important. The link between childhood obesity and future insulin resistance was initially established with body mass index (BMI), but BMI is an in imperfect measure of adiposity. It is worthwhile to evaluate other anthropometrics as they may more accurately capture metabolic risk. While measures such as waist to height ratio are established as superior screening measures in adulthood - the findings are not as robust in pediatrics. Emerging evidence suggests that alternative anthropometrics may be slightly superior to BMI in identifying those youth most at risk of developing insulin resistance, but the clinical significance of that superiority appears limited. Increasing study is needed in longitudinal and varied cohorts to identify which pediatric anthropometric best predicts adult insulin resistance. We review alternative anthropometrics as predictors of future insulin resistance and identify current gaps in knowledge and potential future directions of inquiry.
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Affiliation(s)
- Sean DeLacey
- Department of Pediatrics, Division of Endocrinology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- *Correspondence: Sean DeLacey,
| | - Jami L. Josefson
- Department of Pediatrics, Division of Endocrinology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
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20
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Cha E, Pasquel FJ, Yan F, Jacobs DR, Dunbar SB, Umpierrez G, Choi Y, Shikany JM, Bancks MP, Reis JP, Spezia Faulkner M. Characteristics associated with early- vs. later-onset adult diabetes: The CARDIA study. Diabetes Res Clin Pract 2021; 182:109144. [PMID: 34774915 PMCID: PMC8688278 DOI: 10.1016/j.diabres.2021.109144] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/04/2021] [Accepted: 11/08/2021] [Indexed: 12/21/2022]
Abstract
AIMS Differences in risk profiles for individuals with early- (<40 years old) vs. later-onset (≥40 years old) diabetes were examined. METHODS A nested case-comparison study design using 30-year longitudinal data from the Coronary Artery Risk Development in Young Adults (CARDIA) study was used. Survey data (socio-demographics, family history, medical records, and lifestyle behaviors), obesity-related measures (body mass index, weight), blood pressure, and laboratory data (insulin, fasting glucose, 2-h glucose, and lipids) were used to examine progression patterns of diabetes development in those with early-onset vs. later-onset diabetes. RESULTS Of 605 participants, 120 were in early-onset group while 485 were in later-onset group. Early-onset group had a lower A Priori Diet Quality Score, but not statistically significant at baseline; however, the between-group difference became significant at the time that diabetes was first detected (p = 0.026). The physical activity intensity score consistently decreased from baseline to the development of diabetes in both the early- and later-onset groups. Early-onset group showed more dyslipidemia at baseline and at the time that diabetes was first detected, and rapid weight gain from baseline to the development of diabetes. CONCLUSIONS Emphases on lifestyle modification and risk-based diabetes screening in asymptomatic young adults are necessary for early detection and prevention.
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Affiliation(s)
- EunSeok Cha
- College of Nursing, Chungnam National University, Daejeon, South Korea; Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, USA.
| | | | - Fengxia Yan
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA.
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Sandra B Dunbar
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, USA
| | | | - Yuni Choi
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - James M Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama, Birmingham, AL, USA
| | - Michael P Bancks
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jared P Reis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - Melissa Spezia Faulkner
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, USA; Byrdine F. Lewis School of Nursing and Health Professions, Georgia State University, Atlanta, USA
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21
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Yajnik CS, Bandopadhyay S, Bhalerao A, Bhat DS, Phatak SB, Wagh RH, Yajnik PC, Pandit A, Bhave S, Coyaji K, Kumaran K, Osmond C, Fall CHD. Poor In Utero Growth, and Reduced β-Cell Compensation and High Fasting Glucose From Childhood, Are Harbingers of Glucose Intolerance in Young Indians. Diabetes Care 2021; 44:2747-2757. [PMID: 34610922 DOI: 10.2337/dc20-3026] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 09/06/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE India is a double world capital of early-life undernutrition and type 2 diabetes. We aimed to characterize life course growth and metabolic trajectories in those developing glucose intolerance as young adults in the Pune Maternal Nutrition Study (PMNS). RESEARCH DESIGN AND METHODS PMNS is a community-based intergenerational birth cohort established in 1993, with serial information on parents and children through pregnancy, childhood, and adolescence. We compared normal glucose-tolerant and glucose-intolerant participants for serial growth, estimates of insulin sensitivity and secretion (HOMA and dynamic indices), and β-cell compensation accounting for prevailing insulin sensitivity. RESULTS At 18 years (N = 619), 37% of men and 20% of women were glucose intolerant (prediabetes n = 184; diabetes n = 1) despite 48% being underweight (BMI <18.5 kg/m2). Glucose-intolerant participants had higher fasting glucose from childhood. Mothers of glucose-intolerant participants had higher glycemia in pregnancy. Glucose-intolerant participants were shorter at birth. Insulin sensitivity decreased with age in all participants, and those with glucose intolerance had consistently lower compensatory insulin secretion from childhood. Participants in the highest quintile of fasting glucose at 6 and 12 years had 2.5- and 4.0-fold higher risks, respectively, of 18-year glucose intolerance; this finding was replicated in two other cohorts. CONCLUSIONS Inadequate compensatory insulin secretory response to decreasing insulin sensitivity in early life is the major pathophysiology underlying glucose intolerance in thin rural Indians. Smaller birth size, maternal pregnancy hyperglycemia, and higher glycemia from childhood herald future glucose intolerance, mandating a strategy for diabetes prevention from early life, preferably intergenerationally.
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Affiliation(s)
| | | | - Aboli Bhalerao
- Diabetes Unit, King Edward Memorial (KEM) Hospital Research Centre, Pune, India
| | - Dattatray S Bhat
- Diabetes Unit, King Edward Memorial (KEM) Hospital Research Centre, Pune, India
| | - Sanat B Phatak
- Diabetes Unit, King Edward Memorial (KEM) Hospital Research Centre, Pune, India
| | - Rucha H Wagh
- Diabetes Unit, King Edward Memorial (KEM) Hospital Research Centre, Pune, India
| | - Pallavi C Yajnik
- Diabetes Unit, King Edward Memorial (KEM) Hospital Research Centre, Pune, India
| | - Anand Pandit
- Department of Paediatrics, KEM Hospital Research Centre, Pune, India
| | - Sheila Bhave
- Department of Paediatrics, KEM Hospital Research Centre, Pune, India
| | - Kurus Coyaji
- Diabetes Unit, King Edward Memorial (KEM) Hospital Research Centre, Pune, India
| | - Kalyanaraman Kumaran
- Holdsworth Memorial Hospital, Mysore, India.,Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, U.K
| | - Clive Osmond
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, U.K
| | - Caroline H D Fall
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, U.K
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22
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Charles MA, Leslie RD. Diabetes: Concepts of β-Cell Organ Dysfunction and Failure Would Lead to Earlier Diagnoses and Prevention. Diabetes 2021; 70:2444-2456. [PMID: 34711669 PMCID: PMC8564410 DOI: 10.2337/dbi21-0012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 08/09/2021] [Indexed: 12/24/2022]
Abstract
As the world endures a viral pandemic superimposed on a diabetes pandemic, the latter incorporates most of the comorbidities associated with the former, thereby exacerbating risk of death in both. An essential approach to both pandemics is prevention and unrealized earlier treatment. Thus, in this Perspective relating to diabetes, we emphasize a paradigm of, first, reversible β-cell organ dysfunction and then irreversible β-cell organ failure, which directly indicate the potential for earlier prevention, also unrealized in current guidelines. Four pillars support this paradigm: epidemiology, pathophysiology, molecular pathology, and genetics. A substantial worldwide knowledge base defines each pillar and informs a more aggressive preventive approach to most forms of the disorder. This analysis seeks to clarify the temporal and therapeutic relationships between lost β-cell function and content, illuminating the potential for earlier diagnoses and, thus, prevention. We also propose that myriad pathways leading to most forms of diabetes converge at the endoplasmic reticulum, where stress can result in β-cell death and content loss. Finally, genetic and nongenetic origins common to major types of diabetes can inform earlier diagnosis and, potentially, prevention, with the aim of preserving β-cell mass.
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23
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Li J, Chen Q, Hu X, Yuan P, Cui L, Tu L, Cui J, Huang J, Jiang T, Ma X, Yao X, Zhou C, Lu H, Xu J. Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques. Int J Med Inform 2021; 149:104429. [PMID: 33647600 DOI: 10.1016/j.ijmedinf.2021.104429] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 01/27/2021] [Accepted: 02/20/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics without early diagnosis or standard treatment may contribute to serious multisystem complications, which can be life threatening. Timely detection and intervention of prediabetes is very important to prevent diabetes, because it is inevitable in the development and progress of the disease. OBJECTIVE Our objective was to establish the predictive model that can be applied to evaluate people with blood glucose in high and critical state. METHODS We established the diabetes risk prediction model formed by a combined TCM tongue diagnosis with machine learning techniques. 1512 subjects were recruited from the hospital. After data preprocessing, we got the dataset 1 and dataset 2. Dataset 1 was used to train classical machine learning model, while dataset 2 was used to train deep learning model. To evaluate the performance of the prediction model, we used Classification Accuracy(CA), Precision, Recall, F1-score, Precision-Recall curve(P-R curve), Area Under the Precision-Recall curve(AUPRC), Receiver Operating Characteristic curve(ROC curve), Area Under the Receiver Operating Characteristic curve(AUROC), then selected the best diabetes risk prediction model. RESULTS On the test set of dataset 1, the CA of non-invasive Stacking model was 71 %, micro average AUROC was 0.87, macro average AUROC was 0.84, and micro average AUPRC was 0.77. In the critical blood glucose group, the AUROC was 0.84, AUPRC was 0.67. In the high blood glucose group, AUROC was 0.87, AUPRC was 0.83. On the validation set of dataset 2, the CA of ResNet50 model was 69 %, micro average AUROC was 0.84, macro average AUROC was 0.83, and micro average AUPRC was 0.73. In the critical blood glucose group, AUROC was 0.88, AUPRC was 0.71. In the high blood glucose group, AUROC was 0.80, AUPRC was 0.76. On the test set of dataset 2, the CA of ResNet50 model was 65 %, micro average AUROC was 0.83, macro average AUROC was 0.82, and micro average AUPRC was 0.71. In the critical blood glucose group, the prediction of AUROC was 0.84, AUPRC was 0.60. In the high blood glucose group, AUROC was 0.87, AUPRC was 0.71. CONCLUSIONS Tongue features can improve the prediction accuracy of the diabetes risk prediction model formed by classical machine learning model significantly. In addition to the excellent performance, Stacking model and ResNet50 model which were recommended had non-invasive operation and were easy to use. Stacking model and ResNet50 model had high precision, low false positive rate and low misdiagnosis rate on detecting hyperglycemia. While on detecting blood glucose value in critical state, Stacking model and ResNet50 model had a high sensitivity, a low false negative rate and a low missed diagnosis rate. The study had proved that the differential changes of tongue features reflected the abnormal glucose metabolism, thus the diabetes risk prediction model formed by a combined TCM tongue diagnosis and machine learning technique was feasible.
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Affiliation(s)
- Jun Li
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qingguang Chen
- Shuguang Hospital Affiliated with Shanghai University of Traditional Chinese Medicine, Zhangheng Road, Shanghai, China
| | - Xiaojuan Hu
- Shanghai Collaborative Innovation Center of Health Service in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Pei Yuan
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Longtao Cui
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Liping Tu
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ji Cui
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jingbin Huang
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Tao Jiang
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xuxiang Ma
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xinghua Yao
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Changle Zhou
- Cognitive Science Department, Xiamen University, Xiamen, China
| | - Hao Lu
- Shuguang Hospital Affiliated with Shanghai University of Traditional Chinese Medicine, Zhangheng Road, Shanghai, China.
| | - Jiatuo Xu
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
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Life-Course Implications of Pediatric Risk Factors for Cardiovascular Disease. Can J Cardiol 2021; 37:766-775. [PMID: 33581191 DOI: 10.1016/j.cjca.2021.02.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 02/03/2021] [Accepted: 02/03/2021] [Indexed: 12/19/2022] Open
Abstract
The concept that origins of cardiovascular disease (CVD) begin in childhood is supported by substantial evidence. Prospective studies beginning in childhood report associations of childhood obesity, abnormal blood pressure (BP), dyslipidemia, diabetes, and tobacco use with intermediate CVD markers, including left ventricular hypertrophy and vascular stiffness in young adulthood. Trajectory analyses from longitudinal studies describe discrete BP pathways from childhood to young adult status of hypertension and prehypertension. Among individuals with familial hypercholesterolemia, abnormal low-density lipoprotein cholesterol levels are present in childhood. Some children are at risk for future CVD owing to hereditary factors, psychosocial stress, race, low birth weight, or other nonmodifiable exposures. Behavioural factors, including suboptimal diet, sedentary activity, and tobacco use, in childhood augment risk and can be modified to reduce risk. Pharmacologic treatments are reserved for those at high levels of the BP and cholesterol distributions and for those with diabetes and additional risk factors.
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25
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Ferrannini E. A Journey in Diabetes: From Clinical Physiology to Novel Therapeutics: The 2020 Banting Medal for Scientific Achievement Lecture. Diabetes 2021; 70:338-346. [PMID: 33472943 PMCID: PMC7881861 DOI: 10.2337/dbi20-0028] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/22/2020] [Indexed: 12/12/2022]
Abstract
Insulin resistance and β-cell dysfunction are the core pathophysiological mechanisms of all hyperglycemic syndromes. Advances in in vivo investigative techniques have made it possible to quantify insulin resistance in multiple sites (skeletal and myocardial muscle, subcutaneous and visceral fat depots, liver, kidney, vascular tissues, brain and intestine), to clarify its consequences for tissue substrate selection, and to establish its relation to tissue perfusion. Physiological modeling of β-cell function has provided a uniform tool to measure β-cell glucose sensitivity and potentiation in response to a variety of secretory stimuli, thereby allowing us to establish feedbacks with insulin resistance, to delineate the biphasic time course of conversion to diabetes, to gauge incretin effects, and to identify primary insulin hypersecretion. As insulin resistance also characterizes several of the comorbidities of diabetes (e.g., obesity, hypertension, dyslipidemia), with shared genetic and acquired influences, the concept is put forward that diabetes is a systemic disease from the outset, actually from the prediabetic stage. In fact, early multifactorial therapy, particularly with newer antihyperglycemic agents, has shown that the burden of micro- and macrovascular complications can be favorably modified despite the rising pressure imposed by protracted obesity.
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Affiliation(s)
- Ele Ferrannini
- National Research Council (CNR) Institute of Clinical Physiology, Pisa, Italy
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26
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Chung ST, Matta ST, Meyers AG, Cravalho CK, Villalobos-Perez A, Dawson JM, Sharma VR, Sampson ML, Otvos JD, Magge SN. Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance. Front Endocrinol (Lausanne) 2021; 12:665292. [PMID: 34084151 PMCID: PMC8167058 DOI: 10.3389/fendo.2021.665292] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 04/08/2021] [Indexed: 12/17/2022] Open
Abstract
UNLABELLED Youth with obesity have an increased risk for cardiometabolic disease, but identifying those at highest risk remains a challenge. Four biomarkers that might serve this purpose are "by products" of clinical NMR LipoProfile® lipid testing: LPIR (Lipoprotein Insulin Resistance Index), GlycA (inflammation marker), BCAA (total branched-chain amino acids), and glycine. All are strongly related to insulin resistance and type 2 diabetes (T2DM) in adults (glycine inversely) and are independent of biological and methodological variations in insulin assays. However, their clinical utility in youth is unclear. We compared fasting levels of these biomarkers in 186 youth (42 lean normal glucose tolerant (NGT), 88 obese NGT, 23 with prediabetes (PreDM), and 33 with T2DM. All four biomarkers were associated with obesity and glycemia in youth. LPIR and GlycA were highest in youth with PreDM and T2DM, whereas glycine was lowest in youth with T2DM. While all four were correlated with HOMA-IR (Homeostatic Model Assessment for Insulin Resistance), LPIR had the strongest correlation (LPIR: r = 0.6; GlycA: r = 0.4, glycine: r = -0.4, BCAA: r = 0.2, all P < 0.01). All four markers correlated with HbA1c (LPIR, GlycA, BCAA: r ≥ 0.3 and glycine: r = -0.3, all P < 0.001). In multi-variable regression models, LPIR, GlycA, and glycine were independently associated with HOMA-IR (Adjusted R2 = 0.473, P < 0.001) and LPIR, glycine, and BCAA were independently associated with HbA1c (Adjusted R2 = 0.33, P < 0.001). An LPIR index of >44 was associated with elevated blood pressure, BMI, and dyslipidemia. Plasma NMR-derived markers were related to adverse markers of cardiometabolic risk in youth. LPIR, either alone or in combination with GlycA, should be explored as a non-insulin dependent predictive tool for development of insulin resistance and diabetes in youth. CLINICAL TRIAL REGISTRATION Clinicaltrials.gov, identifier NCT:02960659.
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Affiliation(s)
- Stephanie T. Chung
- Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
- *Correspondence: Stephanie T. Chung,
| | - Samantha T. Matta
- Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Abby G. Meyers
- Department of Endocrinology and Diabetes, Children’s National Hospital, Washington, DC, United States
| | - Celeste K. Cravalho
- Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Alfredo Villalobos-Perez
- Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Joshua M. Dawson
- Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Vandhna R. Sharma
- Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Maureen L. Sampson
- National Institutes of Health Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - James D. Otvos
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC, United States
| | - Sheela N. Magge
- Division of Pediatric Endocrinology and Diabetes, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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Marwitz SE, Gaines MV, Brady SM, Mi SJ, Broadney MM, Yanovski SZ, Hubbard VS, Yanovski JA. Cross-Sectional and Longitudinal Examination of Insulin Sensitivity and Secretion across Puberty among Non-Hispanic Black and White Children. Endocrinol Metab (Seoul) 2020; 35:847-857. [PMID: 33202518 PMCID: PMC7803592 DOI: 10.3803/enm.2020.771] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 09/18/2020] [Accepted: 10/06/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Few studies using criterion measures of insulin sensitivity (SI) and insulin secretory capacity (ISC) have been conducted across puberty to adulthood. We examined how SI and ISC change from pre-puberty through adulthood. METHODS Hyperglycemic clamp studies were performed in a convenience sample of non-Hispanic Black (NHB) and White children evaluated at age 6 to 12 years and at approximately 5-year intervals into adulthood (maximum age 27 years). SI and ISC (first-phase and steady-state insulin secretion) were determined cross-sectionally in 133 unique participants across puberty and in adulthood. Additionally, longitudinal changes in SI and ISC were compared at two timepoints among three groups defined by changes in pubertal development: pre-pubertal at baseline and late-pubertal at follow-up (n=27), early-pubertal at baseline and late-pubertal at follow-up (n=27), and late-pubertal at baseline and adult at follow-up (n=24). RESULTS Cross-sectionally, SI was highest in pre-puberty and early puberty and lowest in mid-puberty (analysis of covariance [ANCOVA] P=0.001). Longitudinally, SI decreased from pre-puberty to late puberty (P<0.001), then increased somewhat from late puberty to adulthood. Cross-sectionally, first-phase and steady-state ISC increased during puberty and decreased in adulthood (ANCOVA P<0.02). Longitudinally, steady-state and first-phase ISC increased from pre-puberty to late puberty (P<0.007), and steady-state ISC decreased from late puberty to adulthood. The NHB group had lower SI (P=0.003) and greater first-phase and steady-state ISC (P≤0.001), independent of pubertal development. CONCLUSION This study confirms that SI decreases and ISC increases transiently during puberty and shows that these changes largely resolve in adulthood.
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Affiliation(s)
- Shannon E. Marwitz
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Megan V. Gaines
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Sheila M. Brady
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Sarah J. Mi
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Miranda M. Broadney
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Susan Z. Yanovski
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Van S. Hubbard
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Jack A. Yanovski
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
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