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Gill G, Giannakeas V, Read S, Lega IC, Shah BR, Lipscombe LL. Risk of Breast Cancer After Diabetes in Pregnancy: A Population-based Cohort Study. Can J Diabetes 2024; 48:171-178.e1. [PMID: 38160937 DOI: 10.1016/j.jcjd.2023.12.007] [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: 09/29/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVES Diabetes is associated with an increased risk of several cancers, including postmenopausal breast cancer. The evidence for higher breast cancer risk after diabetes in pregnancy is conflicting. We compared the incidence of breast and other cancers between pregnant women with and without diabetes. METHODS This work was a propensity-matched, retrospective cohort study using population-based health-care databases from Ontario, Canada. Those deliveries with gestational diabetes mellitus (GDM) and pregestational diabetes mellitus (pregestational DM) were identified and matched to deliveries without diabetes mellitus (non-DM). Deliveries from each diabetes cohort were matched 1:2 on age, parity, year of delivery, and propensity score to non-DM deliveries. Matched subjects were followed from delivery for incidence of breast cancer as a primary outcome, and other site-specific cancers as secondary outcomes. We performed Cox proportional hazards regression to compare rates of breast cancer between matched groups. RESULTS Over a median of 8 (interquartile range 4 to 13) years of follow-up, compared with non-DM deliveries, the incidence of breast cancer was significantly lower for GDM but similar for pregestational DM deliveries (hazard ratio [HR] 0.90, 95% confidence interval [CI] 0.82 to 0.98; and HR 0.92, 95% CI 0.80 to 1.07, respectively). GDM was associated with a significantly higher incidence of pancreatic and hepatocellular cancer, and pregestational DM was associated with a higher incidence of thyroid, hepatocellular, and endometrial cancers. CONCLUSIONS Diabetes in pregnancy does not have a higher short-term risk of subsequent breast cancer, but there may be a higher incidence of other cancers.
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Affiliation(s)
- Gurjot Gill
- Department of Obstetrics and Gynaecology, University of Toronto, Toronto, Ontario, Canada
| | - Vasily Giannakeas
- ICES, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie Read
- ICES, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
| | - Iliana C Lega
- ICES, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- ICES, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Lorraine L Lipscombe
- ICES, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
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Nham T, Read SH, Giannakeas V, Berger H, Feig DS, Fleming K, Ray JG, Rosella L, Shah BR, Lipscombe LL. The association between offspring birthweight and future risk of maternal diabetes: A population-based study. Diabet Med 2023; 40:e14991. [PMID: 36281547 DOI: 10.1111/dme.14991] [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: 05/06/2022] [Accepted: 10/14/2022] [Indexed: 01/17/2023]
Abstract
AIMS As an indicator of maternal cardiometabolic health, newborn birthweight may be an important predictor of maternal type 2 diabetes mellitus (diabetes). We evaluated the relation between offspring birthweight and onset of maternal diabetes after pregnancy. METHODS This retrospective cohort study used linked population-based health databases from Ontario, Canada. We included women aged 16-50 years without pre-pregnancy diabetes, and who had a live birth between 2006 and 2014. We used Cox proportional hazard regression to evaluate the association between age- and sex-standardized offspring birthweight percentile categories and incident maternal diabetes, while adjusting for maternal age, parity, year, ethnicity, gestational diabetes (GDM) and hypertensive disorders of pregnancy (HDP). Results were further stratified by the presence of GDM in the index pregnancy. RESULTS Of 893,777 eligible participants, 14,329 (1.6%) women were diagnosed with diabetes over a median (IQR) of 4.4 (1.5-7.4) years of follow-up. There was a continuous positive relation between newborn birthweight above the 75th percentile and maternal diabetes. Relative to a birthweight between the 50th and 74.9th percentiles, women whose newborn had a birthweight between the 97th and 100th percentiles had an adjusted hazards ratio (aHR) of diabetes of 2.30 (95% CI 2.16-2.46), including an aHR of 2.01 (95% CI 1.83-2.21) among those with GDM, and 2.59 (2.36-2.84) in those without GDM. CONCLUSIONS A higher offspring birthweight signals an increased risk of maternal diabetes, offering another potentially useful way to identify women especially predisposed to diabetes.
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Affiliation(s)
- Tina Nham
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie H Read
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Vasily Giannakeas
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Howard Berger
- Department of Obstetrics and Gynecology, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Denice S Feig
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Sinai Health System, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Karen Fleming
- Department of Family and Community Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Joel G Ray
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Department of Obstetrics and Gynecology, St. Michael's Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Laura Rosella
- ICES, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Lorraine L Lipscombe
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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Adam S, McIntyre HD, Tsoi KY, Kapur A, Ma RC, Dias S, Okong P, Hod M, Poon LC, Smith GN, Bergman L, Algurjia E, O'Brien P, Medina VP, Maxwell CV, Regan L, Rosser ML, Jacobsson B, Hanson MA, O'Reilly SL, McAuliffe FM. Pregnancy as an opportunity to prevent type 2 diabetes mellitus: FIGO Best Practice Advice. Int J Gynaecol Obstet 2023; 160 Suppl 1:56-67. [PMID: 36635082 PMCID: PMC10107137 DOI: 10.1002/ijgo.14537] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Gestational diabetes (GDM) impacts approximately 17 million pregnancies worldwide. Women with a history of GDM have an 8-10-fold higher risk of developing type 2 diabetes and a 2-fold higher risk of developing cardiovascular disease (CVD) compared with women without prior GDM. Although it is possible to prevent and/or delay progression of GDM to type 2 diabetes, this is not widely undertaken. Considering the increasing global rates of type 2 diabetes and CVD in women, it is essential to utilize pregnancy as an opportunity to identify women at risk and initiate preventive intervention. This article reviews existing clinical guidelines for postpartum identification and management of women with previous GDM and identifies key recommendations for the prevention and/or delayed progression to type 2 diabetes for global clinical practice.
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Affiliation(s)
- Sumaiya Adam
- Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.,Diabetes Research Centre, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Harold David McIntyre
- Mater Health, University of Queensland, Mater Health Campus, South Brisbane, Queensland, Australia
| | - Kit Ying Tsoi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | - Ronald C Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Stephanie Dias
- Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council, Cape Town, South Africa
| | - Pius Okong
- Department of Obstetrics and Gynecology, St Francis Hospital Nsambya, Kampala City, Uganda
| | - Moshe Hod
- Helen Schneider Hospital for Women, Rabin Medical Center, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Liona C Poon
- Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Graeme N Smith
- Department of Obstetrics and Gynecology, Kingston Health Sciences Centre, Queen's University, Kingston, Ontario, Canada
| | - Lina Bergman
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Obstetrics and Gynecology, Stellenbosch University, Cape Town, South Africa.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Esraa Algurjia
- The World Association of Trainees in Obstetrics and Gynecology (WATOG), Paris, France.,Elwya Maternity Hospital, Baghdad, Iraq
| | - Patrick O'Brien
- Institute for Women's Health, University College London, London, UK
| | - Virna P Medina
- Department of Obstetrics and Gynecology, Faculty of Health, Universidad del Valle, Clínica Imbanaco Quirón Salud, Universidad Libre, Cali, Colombia
| | - Cynthia V Maxwell
- Maternal Fetal Medicine, Sinai Health and Women's College Hospital University of Toronto, Ontario, Canada
| | | | - Mary L Rosser
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital/Ostra, Gothenburg, Sweden.,Department of Genetics and Bioinformatics, Domain of Health Data and Digitalisation, Institute of Public Health, Oslo, Norway
| | - Mark A Hanson
- Institute of Developmental Sciences, University Hospital Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
| | - Sharleen L O'Reilly
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.,School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
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