David Simmons?
doi : 10.2337/dci20-0055
Diabetes Care 2021 May; 44(5): 1075-1081.
For over 50 years, the diagnosis of gestational diabetes mellitus (GDM) has been based upon an oral glucose tolerance test at 24–28 weeks’ gestation. This is the time during pregnancy when insulin resistance is increasing and hyperglycemia develops among those with insufficient insulin secretory capacity to maintain euglycemia. The Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study and the two major randomized controlled trials of treating GDM are based upon recruitment of women at this time during pregnancy. Meanwhile, the increasing prevalence of type 2 diabetes in pregnancy, with its significant risk of adverse pregnancy outcomes, has led to a need to identify undiagnosed diabetes as near to conception as possible. Screening for undiagnosed diabetes early in pregnancy also identifies women with hyperglycemia less than overt diabetes, yet at increased risk of adverse pregnancy outcomes. Such women are more insulin resistant—with higher blood pressure, triglycerides, perinatal mortality, and neonatal hypoglycemia with a greater need for insulin treatment—than those with GDM diagnosed at 24–28 weeks’ gestation. Currently, there is uncertainty over how to diagnose GDM early in pregnancy and the benefits and harms from using the current management regimen. Randomized controlled trials testing the criteria for, and treatment of, GDM early in pregnancy are urgently needed to address this existing equipoise. In the meantime, the importance of early or “prevalent GDM” (i.e., mild hyperglycemia present from early [before] pregnancy) warrants interim criteria and thresholds for medication, which may differ from those in use for GDM diagnosed at 24–28 weeks’ gestation.
Alexander Dimitri Miras1, Anna Kamocka1, Belén Pérez-Pevida1, Sanjay Purkayastha2, Krishna Moorthy2, Ameet Patel3, Harvinder Chahal1, Gary Frost1, Paul Bassett4, Lidia Castagnetto-Gissey3, Lucy Coppin5, Nicola Jackson5, Anne Margot Umpleby5, Stephen Robert Bloom1, Tricia Tan1, Ahmed Rashid Ahmed1 and Francesco Rubino3?
doi : 10.2337/dc20-0762
Diabetes Care 2021 May; 44(5): 1082-1090.
OBJECTIVE Roux-en-Y gastric bypass (RYGB) characteristically enhances postprandial levels of glucagon-like peptide 1 (GLP-1), a mechanism that contributes to its profound glucose-lowering effects. This enhancement is thought to be triggered by bypass of food to the distal small intestine with higher densities of neuroendocrine L-cells. We hypothesized that if this is the predominant mechanism behind the enhanced secretion of GLP-1, a longer intestinal bypass would potentiate the postprandial peak in GLP-1, translating into higher insulin secretion and, thus, additional improvements in glucose tolerance. To investigate this, we conducted a mechanistic study comparing two variants of RYGB that differ in the length of intestinal bypass.
Keith M. Godfrey1,2?, Sheila J. Barton1, Sarah El-Heis1, Timothy Kenealy3, Heidi Nield1, Philip N. Baker4, Yap Seng Chong5,6, Wayne Cutfield3,7, Shiao-Yng Chan5,6, and NiPPeR Study Group*
doi : 10.2337/dc20-2515
Diabetes Care 2021 May; 44(5): 1091-1099.
OBJECTIVE Better preconception metabolic and nutritional health are hypothesized to promote gestational normoglycemia and reduce preterm birth, but evidence supporting improved outcomes with nutritional supplementation starting preconception is limited.
Pablo Aschner1?, Juan José Gagliardino2, Hasan Ilkova3, Fernando Lavalle4, Ambady Ramachandran5, Jean Claude Mbanya6, Marina Shestakova7, Yann Bourhis8, Jean-Marc Chantelot9 and Juliana C.N. Chan10
doi : 10.2337/dc20-2003
Diabetes Care 2021 May; 44(5): 1100-1107.
OBJECTIVE Depression is common in people with diabetes, but data from developing countries are scarce. We evaluated the prevalence and risk factors for depressive symptoms in patients with diabetes using data from the International Diabetes Management Practices Study (IDMPS).
Wen Ye1?, Shihchen Kuo2, Edith C. Kieffer3, Gretchen Piatt4, Brandy Sinco3, Gloria Palmisano5, Michael S. Spencer6 and William H. Herman2
doi : 10.2337/dc20-0307
Diabetes Care 2021 May; 44(5): 1108-1115.
OBJECTIVE To simulate the long-term cost-effectiveness of a peer leader (PL)–led diabetes self-management support (DSMS) program following a structured community health worker (CHW)–led diabetes self-management education (DSME) program in reducing risks of complications in people with type 2 diabetes (T2D).
Beate Karges1,2?, Nicole Prinz3,4, Kerstin Placzek5, Nicolin Datz6, Matthias Papsch7, Ursula Strier8, Dirk Agena9, Walter Bonfig10, Heiner Kentrup2 and Reinhard W. Holl3,4
doi : 10.2337/dc20-1829
Diabetes Care 2021 May; 44(5): 1116-1124.
OBJECTIVE To investigate natural course, treatment, and outcomes in familial versus sporadic type 1 diabetes.
Sareh Keshavarzi1, Barbara H. Braffett2?, Rodica Pop-Busui3, Trevor J. Orchard4, Elsayed Z. Soliman5, Gayle M. Lorenzi6, Annette Barnie7, Amy B. Karger8, Rose A. Gubitosi-Klug9, Samuel Dagogo-Jack10, Andrew D. Paterson1, and the DCCT/EDIC Research Group*
doi : 10.2337/dc20-2387
Diabetes Care 2021 May; 44(5): 1125-1132.
OBJECTIVE Individuals with diabetes have higher resting heart rate compared with those without, which may be predictive of long-term cardiovascular disease (CVD) risk. Using data from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study, we evaluated whether the beneficial effect of intensive versus conventional diabetes therapy on heart rate persisted, the factors mediating the differences in heart rate between treatment groups, and the effects of heart rate on future CVD risk.
Frank Qian1,2, Andres V. Ardisson Korat1,3,4, Fumiaki Imamura5, Matti Marklund6,7,8, Nathan Tintle9,10, Jyrki K. Virtanen11, Xia Zhou12, Julie K. Bassett13, Heidi Lai7,14, Yoichiro Hirakawa15, Kuo-Liong Chien16,17, Alexis C. Wood18, Maria Lankinen11, Rachel A. Murphy19, Cecilia Samieri20, Kamalita Pertiwi21, Vanessa D. de Mello11, Weihua Guan22, Nita G. Forouhi5, Nick Wareham5, InterAct Consortium, Frank B. Hu1,3,4, Ulf Riserus6, Lars Lind6,23, William S. Harris10,24, Aladdin H. Shadyab25, Jennifer G. Robinson26, Lyn M. Steffen11, Allison Hodge12,27, Graham G. Giles12,27,28, Toshiharu Ninomiya29,30, Matti Uusitupa10, Jaakko Tuomilehto31,32, Jaana Lindstr?m31, Markku Laakso33, David S. Siscovick34, Catherine Helmer19, Johanna M. Geleijnse20, Jason H.Y. Wu8, Amanda Fretts35, Rozenn N. Lemaitre36, Renata Micha7, Dariush Mozaffarian7,37 and Qi Sun1,3,4?, on behalf of the Fatty Acids and Outcomes Research Consortium (FORCE)
doi : 10.2337/dc20-2426
Diabetes Care 2021 May; 44(5): 1133-1142.
OBJECTIVE Prospective associations between n-3 fatty acid biomarkers and type 2 diabetes (T2D) risk are not consistent in individual studies. We aimed to summarize the prospective associations of biomarkers of ?-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with T2D risk through an individual participant-level pooled analysis.
Ashley E. Tate1?, Shengxin Liu1, Ruyue Zhang1, Zeynep Yilmaz2,3,4, Janne T. Larsen2,5,6, Liselotte V. Petersen2,5,6, Cynthia M. Bulik1,3,7, Ann-Marie Svensson8,9, Soffia Gudbj?rnsdottir8,9, Henrik Larsson1,10, Agnieszka Butwicka1,11,12 and Ralf Kuja-Halkola1
doi : 10.2337/dc20-2989
Diabetes Care 2021 May; 44(5): 1143-1150.
OBJECTIVE To ascertain the association and coaggregation of eating disorders and childhood-onset type 1 diabetes in families.
Doyle M. Cummings1,2?, Shivajirao P. Patil1, D. Leann Long3, Boyi Guo3, Andrea Cherrington4, Monika M. Safford5, Suzanne E. Judd3, Virginia J. Howard6, George Howard3 and April P. Carson6
doi : 10.2337/dc20-1710
Diabetes Care 2021 May; 44(5): 1151-1158.
OBJECTIVE To examine if the association between higher A1C and risk of cardiovascular disease (CVD) among adults with and without diabetes is modified by racial residential segregation.
Avivit Cahn1?, Itamar Raz1, Lawrence A. Leiter2, Ofri Mosenzon1, Sabina A. Murphy3, Erica L. Goodrich3, Ilan Yanuv1, Aliza Rozenberg1, Deepak L. Bhatt4, Darren K. McGuire5,6, John P.H. Wilding7, Ingrid A.M. Gause-Nilsson8, Anna Maria Langkilde8, Marc S. Sabatine3 and Stephen D. Wiviott3
doi : 10.2337/dc20-2492
Diabetes Care 2021 May; 44(5): 1159-1167.
OBJECTIVE International guidelines propose prescribing sodium–glucose cotransporter 2 (SGLT2) inhibitors to patients with type 2 diabetes (T2D) as secondary prevention in patients with established atherosclerotic cardiovascular disease (ASCVD) or for primary prevention of cardiovascular events in high-risk patients with multiple risk factors (MRF) for ASCVD. The current analyses expand on the cardiovascular renal and metabolic effects of SGLT2 inhibitors in MRF patients.
Aaron Y. Lee1,2,3?, Ryan T. Yanagihara1, Cecilia S. Lee1,2, Marian Blazes1, Hoon C. Jung1,2, Yewlin E. Chee1, Michael D. Gencarella1, Harry Gee4, April Y. Maa5,6, Glenn C. Cockerham7,8, Mary Lynch5,9 and Edward J. Boyko10,11
doi : 10.2337/dc20-1877
Diabetes Care 2021 May; 44(5): 1168-1175.
OBJECTIVE With rising global prevalence of diabetic retinopathy (DR), automated DR screening is needed for primary care settings. Two automated artificial intelligence (AI)–based DR screening algorithms have U.S. Food and Drug Administration (FDA) approval. Several others are under consideration while in clinical use in other countries, but their real-world performance has not been evaluated systematically. We compared the performance of seven automated AI-based DR screening algorithms (including one FDA-approved algorithm) against human graders when analyzing real-world retinal imaging data.
Roque Cardona-Hernandez1?, Anke Schwandt2,3, Hessa Alkandari4, Heiko Bratke5, Agata Chobot6, Nicole Coles7, Sarah Corathers8, Damla Goksen9, Peter Goss10, Zineb Imane11, Katrin Nagl12, Stephen M.P. O’Riordan13 and Craig Jefferies14, for the SWEET Study Group*
doi : 10.2337/dc20-1674
Diabetes Care 2021 May; 44(5): 1176-1184.
OBJECTIVE Insulin delivery methods, glucose-monitoring modalities, and related outcomes were examined in a large, international, diverse cohort of children and adolescents with type 1 diabetes from the Better Control in Pediatric and Adolescent Diabetes: Working to Create Centers of Reference (SWEET) -Registry.
Shan Luo1,2,3,4, Brendan C. Angelo1,2, Ting Chow5, John R. Monterosso3,6, Paul M. Thompson4,6, Anny H. Xiang5 and Kathleen A. Page1,2,6?
doi : 10.2337/dc20-3006
Diabetes Care 2021 May; 44(5): 1185-1193.
OBJECTIVE Children exposed to gestational diabetes mellitus (GDM) or maternal obesity in utero have an increased propensity to develop obesity. Little is known about the mechanisms underlying this phenomenon. We aimed to examine relationships between exposure to GDM or maternal obesity and daily energy intake (EI), brain responses to food cues within reward regions, and adiposity in children.
Jami L. Josefson1,2, Denise M. Scholtens3, Alan Kuang3, Patrick M. Catalano4, Lynn P. Lowe3, Alan R. Dyer3, Lucia C. Petito3, William L. Lowe Jr.5 and Boyd E. Metzger5?, on behalf of the HAPO Follow-up Study Cooperative Research Group*
doi : 10.2337/dc20-2398
Diabetes Care 2021 May; 44(5): 1194-1202.
OBJECTIVE Excessive childhood adiposity is a risk factor for adverse metabolic health. The objective was to investigate associations of newborn body composition and cord C-peptide with childhood anthropometrics and explore whether these newborn measures mediate associations of maternal midpregnancy glucose and BMI with childhood adiposity.
Michael P. Bancks1?, Haiying Chen1, Ashok Balasubramanyam2, Alain G. Bertoni1, Mark A. Espeland1, Steven E. Kahn3, Scott Pilla4, Elizabeth Vaughan2, Lynne E. Wagenknecht1, and the Look AHEAD Research Group*
doi : 10.2337/dc20-2372
Diabetes Care 2021 May; 44(5): 1203-1210.
OBJECTIVE We reevaluated the Action for Health in Diabetes (Look AHEAD) intervention, incorporating diabetes subgroups, to identify whether intensive lifestyle intervention (ILI) is associated with differential risk for cardiovascular disease (CVD) by diabetes subgroup.
Robin Krist?fi1, Johan Bodegard2?, Anna Norhammar3,4, Marcus Thuresson5, David Nathanson6, Thomas Nystr?m7, K?re I. Birkeland8 and Jan W. Eriksson1
doi : 10.2337/dc20-2839
Diabetes Care 2021 May; 44(5): 1211-1218.
OBJECTIVE Type 1 diabetes (T1D) and type 2 diabetes (T2D) increase risks of cardiovascular (CV) and renal disease (CVRD) compared with diabetes-free populations. Direct comparisons between T1D and T2D are scarce. We examined this by pooling full-population cohorts in Sweden and Norway.
Gregory G. Schwartz1?, Michael Szarek1,2,3, Vera A. Bittner4, Deepak L. Bhatt5, Rafael Diaz6, Shaun G. Goodman7,8, J. Wouter Jukema9, Megan Loy10, Garen Manvelian11, Robert Pordy11, Harvey D. White12 and Philippe Gabriel Steg13,14,15, for the ODYSSEY OUTCOMES Committees and Investigators*
doi : 10.2337/dc20-2842
Diabetes Care 2021 May; 44(5): 1219-1227.
OBJECTIVE In observational data, lower levels of lipoprotein(a) have been associated with greater prevalence of type 2 diabetes. Whether pharmacologic lowering of lipoprotein(a) influences incident type 2 diabetes is unknown. We determined the relationship of lipoprotein(a) concentration with incident type 2 diabetes and effects of treatment with alirocumab, a PCSK9 inhibitor.
Petra C. Vinke1?, Gerjan Navis2, Daan Kromhout1 and Eva Corpeleijn1
doi : 10.2337/dc20-2709
Diabetes Care 2021 May; 44(5): 1228-1235.
OBJECTIVE To simultaneously investigate the association of diet quality and all-cause mortality in groups with varying cardiometabolic diseases (CMDs) at baseline.
Matthew M.Y. Lee1, Nazim Ghouri1,2, Darren K. McGuire3, Martin K. Rutter4,5 and Naveed Sattar1?
doi : 10.2337/dc20-3007
Diabetes Care 2021 May; 44(5): 1236-1241.
BACKGROUND Results of cardiovascular outcome trials (CVOTs) suggest Asians may derive greater benefit than Whites from newer classes of antihyperglycemic medications.
Elric Zweck1,2,3, Daniel Scheiber1,2,3, Tomas Jelenik1,2, Florian B?nner3, Patrick Horn3, Dominik Pesta1,2, Heinz-Peter Schultheiss4, Udo Boeken5, Payam Akhyari5, Artur Lichtenberg5,6, Malte Kelm3,6, Michael Roden1,2,6,7, Ralf Westenfeld3 and Julia Szendroedi1,2,7?
doi : 10.2337/dc20-2255
Diabetes Care 2021 May; 44(5): e82-e84.
Hertzel C. Gerstein1,2,3?, Chinthanie Ramasundarahettige1,2 and Shrikant I. Bangdiwala1,3
doi : 10.2337/dc20-2446
Diabetes Care 2021 May; 44(5): e85-e86.
Emily D. Szmuilowicz? and Grazia Aleppo
doi : 10.2337/dc20-3114
Diabetes Care 2021 May; 44(5): e89-e90.
Kiran K. Chatha1?, Brad Walsh1, Javier La Fontaine2, Michael E. Bowen3 and Luigi Meneghini4
doi : 10.2337/dc20-2491
Diabetes Care 2021 May; 44(5): e91-e92.
Xilin Zhou?, Linda J. Andes, Deborah B. Rolka, Giuseppina Imperatore and Stephen R. Benoit
doi : 10.2337/dc21-0072
Diabetes Care 2021 May; 44(5): e93-e94.
Itzel Paola Melgoza1?, Rayman Jilani1, Zarrar Shehzad1 and Anika K. Anam2
doi : 10.2337/dc20-2406
Diabetes Care 2021 May; 44(5): e95-e96.
Sang Youl Rhee1 and Won-Young Lee2?
doi : 10.2337/dci20-0070
Diabetes Care 2021 May; 44(5): e97-e97.
Amalia Gastaldelli1,2?, Ralph A. DeFronzo1 and Marzieh Salehi1,3?
doi : 10.2337/dc20-2911
Diabetes Care 2021 May; 44(5): e98-e99.
Richard N. Bergman? and Francesca Piccinini
doi : 10.2337/dci20-0080
Diabetes Care 2021 May; 44(5): e100-e101.
David M. Maahs1, G. Todd Alonso2?, Mary Pat Gallagher3 and Osagie Ebekozien4
doi : 10.2337/dc20-3119
Diabetes Care 2021 May; 44(5): e102-e102.
Justin M. Gregory1?, James C. Slaughter2, Sara H. Duffus1, T. Jordan Smith1, Lauren M. LeStourgeon3, Sarah S. Jaser1, Allison B. McCoy4, James M. Luther5, Erin R. Giovannetti6, Schafer Boeder6, Jeremy H. Pettus6 and Daniel J. Moore1
doi : 10.2337/dci21-0005
Diabetes Care 2021 May; 44(5): e103-e104.
Mayer B. Davidson?
doi : 10.2337/dc20-3130
Diabetes Care 2021 May; 44(5): e105-e105.
Peter Soliz?
doi : 10.2337/dc21-0151
Diabetes Care 2021 May; 44(5): e107-e107.
Aaron Y. Lee1,2,3?, Cecilia S. Lee1,2, Matthew S. Hunt1, Ryan T. Yanagihara1, Marian Blazes1 and Edward J. Boyko4,5
doi : 10.2337/dci21-0007
Diabetes Care 2021 May; 44(5): e108-e109.
Alice Larroumet, Oceane Molina, Ninon Foussard, Marie Monlun, Laurence Blanco, Kamel Mohammedi and Vincent Rigalleau?
doi : 10.2337/dc21-0287
Diabetes Care 2021 May; 44(5): e110-e111.
Tim Cundy1?, Andrew Holden2 and Elizabeth Stallworthy3
doi : 10.2337/dci21-0008
Diabetes Care 2021 May; 44(5): e112-e112.
Line Hjort,1 Louise Groth Grunnet,2 Richard Saffery,3,4 Sjurdur Olsen,5 and Allan Vaag6
doi : 10.2337/dc21-0248
Diabetes Care 2021;44:e87–e88
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