Article
Multidisciplinary Sciences
Penny Lam, Brendan J. Mein, Ronald J. Benzie, John T. Ormerod, Kristy P. Robledo, Emily J. Hibbert, Ralph K. Nanan
Summary: This study analyzed the effects of maternal diabetes mellitus and body mass index on central and peripheral fat accrual in large for gestational age offspring. The results showed that diabetes mellitus was associated with increased abdominal and mid-thigh fat accumulation in fetuses, independent of BMI.
Article
Endocrinology & Metabolism
Ning Wang, Lin Song, Bo Sun, Yanqi Peng, Sijia Fei, Jiaqi Cui, Yang Mi, Wei Cui
Summary: The study found that GDM-mixed subtype and pre-pregnancy overweight/obesity were significantly associated with LGA in Chinese women, while there was no significant interaction between GDM subtypes and pre-BMI for LGA.
JOURNAL OF DIABETES
(2021)
Article
Public, Environmental & Occupational Health
Sanna Mustaniemi, Hilkka Nikkinen, Aini Bloigu, Anneli Pouta, Risto Kaaja, Johan G. Eriksson, Hannele Laivuori, Mika Gissler, Eero Kajantie, Marja Vaarasmaki
Summary: The study showed that normal gestational weight gain is associated with a lower risk of large-for-gestational-age infants and lower birth weight standard deviation scores in the presence of gestational diabetes and maternal obesity.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Endocrinology & Metabolism
Sophie Marcoux, Gabriel Cote-Corriveau, Jessica Healy-Profitos, Nathalie Auger
Summary: This study found an association between gestational diabetes and early childhood cancer, suggesting that hyperglycemia in utero may be a novel risk factor for early childhood cancer.
Article
Pediatrics
Mi Jin Choi, Juyoun Yu, Jimi Choi
Summary: This study found that children whose mothers had both pre-pregnancy obesity and gestational diabetes mellitus had a higher risk of childhood obesity. Maternal pre-pregnancy obesity had a greater impact on childhood obesity risk than gestational diabetes, and the co-occurrence of both factors further increased the risk.
Article
Nutrition & Dietetics
Xinli Song, Jing Shu, Senmao Zhang, Letao Chen, Jingyi Diao, Jinqi Li, Yihuan Li, Jianhui Wei, Yiping Liu, Mengting Sun, Tingting Wang, Jiabi Qin
Summary: This study reveals the impact of maternal pre-pregnancy BMI status on the risk of macrosomia and LGA through the mediation of GDM. Being overweight or obese before pregnancy increases the risk of macrosomia and LGA independently as well as partially mediated by GDM.
Article
Medicine, General & Internal
Hee-Sun Kim, Soo-Young Oh, Geum Joon Cho, Suk-Joo Choi, Soon Cheol Hong, Ja-Young Kwon, Han Sung Kwon
Summary: A clinical model was developed and internally validated to predict fetal overgrowth in Korean women with GDM, which showed a relatively good performance.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Obstetrics & Gynecology
Catherine R. Knight-Agarwal, Rati Jani, Meisa Al Foraih, Dionne Eckley, Carrie Ka Wai Lui, Shawn Somerset, Deborah Davis, Monica Yuri Takito
Summary: The study found that overweight and obese women in Australia are more likely to give birth to large for gestational age infants. Asian-born women residing in Australia with a body mass index of >= 40 kg/m2 have a higher risk of birthing a large for gestational age infant. Australian-born women have a higher risk of birthing a large for gestational age infant, especially when they have insulin-requiring gestational diabetes mellitus.
BMC PREGNANCY AND CHILDBIRTH
(2021)
Article
Medicine, General & Internal
Teresa A. Hillier, Kathryn L. Pedula, Keith K. Ogasawara, Kimberly K. Vesco, Caryn E. S. Oshiro, Suzanne L. Lubarsky, Jan Van Marter
Summary: In this study comparing one-step screening with two-step screening for gestational diabetes mellitus, the one-step approach resulted in more diagnoses of gestational diabetes mellitus but did not have a significant impact on the incidence of adverse perinatal and maternal outcomes.
NEW ENGLAND JOURNAL OF MEDICINE
(2021)
Article
Endocrinology & Metabolism
Li-Rong He, Li Yu, Yong Guo
Summary: There has been a decrease in birth weight and prevalence of large for gestational age (LGA) among offspring of women with gestational diabetes mellitus (GDM) in southern China. However, the risk of LGA remains stable at a relatively high level for GDM women over the past 10 years.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Nutrition & Dietetics
Qianling Zhou, Mingyuan Jiao, Na Han, Wangxing Yang, Heling Bao, Zhenghong Ren
Summary: This study aimed to investigate the association between maternal vitamin E concentration in each trimester and gestational diabetes (GDM) and large-for-gestational-age (LGA). The study found that high levels of maternal vitamin E in the second trimester were associated with an increased risk of GDM and LGA. Maternal vitamin E concentrations in the first and second trimesters were positively associated with GDM and LGA. Avoiding excess vitamin E during pregnancy may be an effective measure to reduce the risk of GDM and LGA.
Article
Biochemistry & Molecular Biology
Stephanie Shiau, Leishen Wang, Huikun Liu, Yinan Zheng, Alex Drong, Brian T. Joyce, Jun Wang, Weiqin Li, Junhong Leng, Yun Shen, Ru Gao, Gang Hu, Lifang Hou, Andrea A. Baccarelli
Summary: In the Tianjin GDM Observational Study, offspring of women with GDM showed accelerated epigenetic age compared to control participants, independent of other maternal factors. Epigenetic age in offspring was associated with cardiometabolic risk factors, suggesting that GDM and GDM-associated factors may have long-term effects on offspring epigenetic age and contribute to health outcomes.
Article
Endocrinology & Metabolism
Wei Fang, Xiaojie Yuan, Weijian Li, Samuel Seery, Guanzhi Chen, Zefeng Cai, Zegui Huang, Xianxuan Wang, Weiqiang Wu, Zhichao Chen, Yan Li, Shouling Wu, Youren Chen
Summary: This study aimed to investigate the association between the onset-age of overweight/obesity and the risk of developing diabetes mellitus in China. The study found that individuals who experienced early onset of excessive weight gain were at a significantly higher risk of developing diabetes mellitus compared to those who maintained a normal weight.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Review
Medicine, General & Internal
Karina W. Davidson, Michael J. Barry, Carol M. Mangione, Michael Cabana, Aaron B. Caughey, Esa M. Davis, Katrina E. Donahue, Chyke A. Doubeni, Martha Kubik, Li Li, Gbenga Ogedegbe, Lori Pbert, Michael Silverstein, James Stevermer, Chien-Wen Tseng, John B. Wong
Summary: Gestational diabetes is a common condition during pregnancy in the US, with significant risks for both mothers and infants. The USPSTF recommends screening for gestational diabetes at 24 weeks of gestation or after to improve outcomes for both mother and fetus, but finds insufficient evidence to recommend screening before 24 weeks.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
(2021)
Article
Endocrinology & Metabolism
Emmanuel Cosson, Eric Vicaut, Sopio Tatulashvili, Jean -Jacques Portal, Charlotte Nachtergaele, Meriem Sal, Narimane Berkane, Sara Pinto, Amel Rezgani, Lionel Carbillon, Helene Bihana
Summary: This study aims to evaluate the risk of large-for-gestational-age (LGA) infants in women with gestational diabetes mellitus (GDM) and found no residual risk of LGA infants in women treated for GDM.
DIABETES & METABOLISM
(2022)
Article
Urology & Nephrology
Kaitlyn E. Watson, Kirnvir Dhaliwal, Sandra Robertshaw, Nancy Verdin, Eleanor Benterud, Nicole Lamont, Kelsea M. Drall, Kerry McBrien, Maoliosa Donald, Ross T. Tsuyuki, David J. T. Campbell, Neesh Pannu, Matthew T. James
Summary: This study aimed to establish recommendations for Sick day medication guidance (SDMG) through consensus among clinical experts. A multidisciplinary panel of 26 clinicians from 4 countries reached consensus on 42 specific recommendations, including triggers for SDMG, signs for urgent contact with healthcare providers, and self-management strategies for patients.
AMERICAN JOURNAL OF KIDNEY DISEASES
(2023)
Article
Health Care Sciences & Services
Rukia Swaleh, Taylor McGuckin, Denise Campbell-Scherer, Brock Setchell, Peter Senior, Roseanne O. Yeung
Summary: This study evaluated the processes, feasibility, and limitations of linking electronic medical records and administrative data for quality improvement within specialist diabetes clinics in Edmonton, Alberta. The integration process was found to be non-linear and iterative, involving project planning, information generation, limitations analysis, and action. Data limitations included inaccurate data entry, coding, collation, migration and synthesis, changes in laboratory reporting, and missing information in existing databases. Therefore, addressing these limitations is crucial before leveraging electronic medical records and administrative databases reliably.
BMC HEALTH SERVICES RESEARCH
(2023)
Article
Cardiac & Cardiovascular Systems
Padma Kaul, Sarah Rathwell, Carolyn S. P. Lam, Cynthia M. Westerhout, John A. Spertus, Kevin J. Anstrom, Robert O. Blaustein, Justin A. Ezekowitz, Burkert Pieske, Lothar Roessig, Javed Butler, Paul W. Armstrong
Summary: This study investigated the association between frailty and health status in patients with heart failure with preserved ejection fraction (HFpEF). The results showed that patient-reported frailty was modestly correlated with the KCCQ-PLS and 6MWD, and could offer prognostic insight into 6MWD at 24 weeks.
JACC-HEART FAILURE
(2023)
Article
Health Care Sciences & Services
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul
Summary: This study explored the feasibility and value of using electrocardiogram (ECG) data to predict mortality risk among emergency and hospitalized patients. By developing and validating machine learning models based on ECG traces, the study showed that deep learning models outperformed models based on ECG measurements in predicting short-term and long-term mortality. The findings highlight the potential of ECG-based models for prognostication at point of care.
NPJ DIGITAL MEDICINE
(2023)
Article
Critical Care Medicine
Sean van Diepen, Finlay A. McAlister, Luan Manh Chu, Erik Youngson, Padma Kaul, Sameer S. Kadri
Summary: This study evaluated the clinical outcomes of vaccinated patients with severe COVID-19 in the ICU and the association between vaccination/booster status and these outcomes. The study found that vaccination reduced the duration of mechanical ventilation and ICU length of stay, but had no significant impact on in-hospital mortality. However, the use of booster dosage was associated with lower mortality and shorter duration of mechanical ventilation for vaccinated patients with critical illness.
CRITICAL CARE MEDICINE
(2023)
Letter
Cardiac & Cardiovascular Systems
Nariman Sepehrvand, Douglas C. Dover, Sunjidatul Islam, Padma Kaul, Finlay A. Mcalister, Robert J. H. Miller, Nowell M. Fine, Jonathan G. Howlett, Paul W. Armstrong, Justin A. Ezekowits, Canadian VIGOUR Ctr
JACC-HEART FAILURE
(2023)
Article
Oncology
Husam Abdel-Qadir, Rodrigo Carrasco, Peter C. Austin, Yue Chen, Limei Zhou, Jiming Fang, Henry M. H. Su, Iliana C. Lega, Padma Kaul, Tomas G. Neilan, Paaladinesh Thavendiranathan
Summary: A cohort study found that the use of SGLT2 inhibitors (SGLT2is) was associated with a reduced risk of hospitalization for heart failure after anthracycline-containing chemotherapy in elderly patients with diabetes. However, there was no significant difference in incident heart failure diagnosis or cardiovascular disease diagnosis.
JACC: CARDIOONCOLOGY
(2023)
Article
Urology & Nephrology
Nathaniel M. Hawkins, Natasha Wiebe, Jason G. Andrade, Roopinder K. Sandhu, Justin A. Ezekowitz, Padma Kaul, Marcello Tonelli, Finlay A. McAlister
Summary: This study investigated the frequency of kidney monitoring in AF patients in Alberta from 2008 to 2017. The results showed that the frequency of kidney function monitoring increased with worsening KDIGO risk category, and approximately two-thirds of patients adhered to KDIGO guidelines. A minority of patients had moderate to severe eGFR impairment, but most remained stable over 1 year.
CLINICAL AND EXPERIMENTAL NEPHROLOGY
(2023)
Article
Endocrinology & Metabolism
Roseanne O. Yeung, Ravi Retnakaran, Anamaria Savu, Sonia Butalia, Padma Kaul
Summary: The objective of this study was to examine the impact of maternal glucose profiles on obstetrical and neonatal outcomes at the population level, and to explore insulin sensitivity and beta-cell function in an independent cohort. The results showed that elevated fasting plasma glucose, either alone or combined with post-load glucose elevation, was associated with worse outcomes, possibly due to higher degrees of insulin resistance. Further research is needed to better understand these differences and explore whether customized treatment for gestational diabetes can improve neonatal outcomes.
Article
Endocrinology & Metabolism
Vichy Liyanage, Olesya Barrett, Deliwe Ngwezi, Anamaria Savu, Peter Senior, Roseanne O. Yeung, Sonia Butalia, Padma Kaul
Summary: This study aims to provide real-world evidence on the uptake of and outcomes associated with the modified GDM screening approach offered during the COVID-19 pandemic compared with the standard screening approach.
Article
Peripheral Vascular Disease
Xinyun (Christie) Liang, Anamaria Savu, Deliwe Ngwezi, Sonia Butalia, Padma Kaul, Roseanne O. Yeung
Summary: This study assessed the association between maternal glucose levels in pregnancy and subsequent hypertension and found that increasing glucose levels were associated with an increased risk of hypertension.
Article
Public, Environmental & Occupational Health
Jessica Wijesundera, Padma Kaul, Anamaria Savu, Sunjidatul Islam, Douglas C. Dover, Linn E. Moore, Andrea M. Haqq, Geoff D. C. Ball
Summary: The study examines the relationship between social determinants of health (SDH) and preschoolers' weight status. The findings indicate that ethnicity, maternal immigrant status, income level, and social deprivation are associated with children's weight status. Interventions and policies are needed to optimize preschoolers' weight and health.
HEALTH PROMOTION AND CHRONIC DISEASE PREVENTION IN CANADA-RESEARCH POLICY AND PRACTICE
(2023)
Article
Medicine, General & Internal
Akshay Valsaraj, Sunil Vasu Kalmady, Vaibhav Sharma, Matthew Frost, Weijie Sun, Nariman Sepehrvand, Marcus Ong, Cyril Equilbec, Jason R. B. Dyck, Todd Anderson, Harald Becher, Sarah Weeks, Jasper Tromp, Chung-Lieh Hung, Justin A. Ezekowitz, Padma Kaul
Summary: In this study, machine learning models based on echocardiography were developed to predict all-cause mortality. The models showed high accuracy and correlated with patients' quality of life. These models can be used for automated risk stratification in clinical settings.