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Khobrani FM, alzahrani AM, Binmahfoodh DS, Hemedy RA, Abbas SI. Risk factors and diagnostic performance of predictors as a screening technique for gestational diabetes mellitus: a retrospective cross-sectional study. Ann Med Surg (Lond) 2024; 86:4384-4388. [PMID: 39118718 PMCID: PMC11305797 DOI: 10.1097/ms9.0000000000002247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 05/27/2024] [Indexed: 08/10/2024] Open
Abstract
Background Gestational diabetes mellitus (GDM) is a condition that can have negative impacts on both mother and baby. Detecting GDM early is crucial, and fasting plasma glucose (FPG) has been suggested as a possible screening method. This retrospective cross-sectional study aims to investigate potential risk factors and complications associated with GDM. Additionally, it aims to establish the diagnostic performance of predictive factors as a screening method for GDM. Methods Data were collected from the medical records of 247 pregnant women who visited outpatient Obstetrics clinics between 2021 and 2022. The study investigated potential risk factors and complications associated with GDM, including impaired fasting glucose/impaired glucose tolerance (IFG/IGT), family history of diabetes mellitus (DM), and medical conditions. Moreover, the study evaluated the diagnostic performance of potential predictors as screening techniques for GDM. Results The study found that IFG/IGT (P<0.001), a history of GDM (P<0.001), and a family history of DM (P=0.022) were significant factors associated with GDM. Healthy individuals had a lower risk of developing GDM (P<0.001). No significant correlation was found between GDM and macrosomia, hypertension, polycystic ovarian syndrome, or other obstetric complications. Although a weak association was observed between fasting blood glucose levels during the first trimester and GDM, it was not significant. Conclusion In conclusion, this study found that IFG/IGT and a past history of GDM were significantly associated with GDM. Additionally, a family history of diabetes increased the likelihood of developing GDM, while no significant association was found between GDM and other obstetric complications. Although a weak association was observed between fasting blood glucose levels during the first trimester and GDM, it was not statistically significant.
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Affiliation(s)
- Fatimah Mudaia Khobrani
- King Abdullah International Medical Research Center, Riyadh
- Department of Family Medicine, King Abdulaziz Medical City, Ministry of the National Guard-Health Affairs, Jeddah, Saudi Arabia
| | - Abdullah Mohammad alzahrani
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences
- King Abdullah International Medical Research Center, Riyadh
- Department of Family Medicine, King Abdulaziz Medical City, Ministry of the National Guard-Health Affairs, Jeddah, Saudi Arabia
| | - Dina Saleh Binmahfoodh
- King Abdullah International Medical Research Center, Riyadh
- Department of Family Medicine, King Abdulaziz Medical City, Ministry of the National Guard-Health Affairs, Jeddah, Saudi Arabia
| | - Rawan Abdullah Hemedy
- King Abdullah International Medical Research Center, Riyadh
- Department of Family Medicine, King Abdulaziz Medical City, Ministry of the National Guard-Health Affairs, Jeddah, Saudi Arabia
| | - Salwa Ibrahim Abbas
- King Abdullah International Medical Research Center, Riyadh
- Department of Family Medicine, King Abdulaziz Medical City, Ministry of the National Guard-Health Affairs, Jeddah, Saudi Arabia
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Zhu K, Wactawski-Wende J, Mendola P, Parikh NI, LaMonte MJ, Barnabei VM, Hageman Blair R, Manson JE, Liu S, Wang M, Wild RA, Shadyab AH, Van Horn L, Leblanc ES, Sinkey R, Schnatz PF, Saquib N, Mu L. Adverse pregnancy outcomes and risk of type 2 diabetes in postmenopausal women. Am J Obstet Gynecol 2024; 230:93.e1-93.e19. [PMID: 37490991 PMCID: PMC10803644 DOI: 10.1016/j.ajog.2023.07.030] [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: 02/17/2023] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 07/27/2023]
Abstract
BACKGROUND Although gestational diabetes mellitus and delivering high-birthweight infants are known to predict a higher risk of future type 2 diabetes mellitus, the association of hypertensive disorders of pregnancy and other adverse pregnancy outcomes with type 2 diabetes mellitus is not well established. OBJECTIVE This study aimed to examine the associations between different types of adverse pregnancy outcomes and incident type 2 diabetes mellitus among postmenopausal women. STUDY DESIGN The Women's Health Initiative, a nationwide cohort of postmenopausal women, collected self-reported history of adverse pregnancy outcomes, including gestational diabetes mellitus, hypertensive disorders of pregnancy, preterm birth, and delivering low- birthweight (<2500 g) or high-birthweight (>4500 g) infants. Participants were followed up annually for self-reported incident type 2 diabetes mellitus treated with medication from baseline (1993-1998) to March 2021. This study used logistic regression to examine the associations of any and individual adverse pregnancy outcomes with diabetes mellitus. Stratified analyses were performed to assess effect modification by body mass index, race and ethnicity, education, parity, breastfeeding, and age at first birth. RESULTS This analysis included 49,717 women without a history of diabetes mellitus at enrollment who had a least 1 pregnancy and responded to the questionnaire about adverse pregnancy outcomes. After adjusting for body mass index, demographic, lifestyle, and reproductive factors, gestational diabetes mellitus (odds ratio, 2.26; 95% confidence interval, 1.94-2.63), high birthweight (odds ratio, 1.30; 95% confidence interval, 1.18-1.44), and hypertensive disorders of pregnancy (odds ratio, 1.18; 95% confidence interval, 1.08-1.30) were independently associated with higher odds of type 2 diabetes mellitus, whereas preterm birth and low birthweight were not associated with diabetes mellitus risk. A history of ≥2 adverse pregnancy outcomes was associated with higher odds of type 2 diabetes mellitus (odds ratio, 1.55; 95% confidence interval, 1.28-1.88). This study further observed higher odds of type 2 diabetes mellitus (odds ratio, 3.69; 95% confidence interval, 2.38-5.70) among women with a history of both gestational diabetes mellitus and hypertensive disorders of pregnancy than those without any adverse pregnancy outcomes. CONCLUSION Postmenopausal women with a history of gestational diabetes mellitus, those delivering high-birthweight infants, or those with hypertensive disorders of pregnancy are at risk of future type 2 diabetes mellitus. In addition, women with ≥2 conditions had an augmented risk and might be prioritized for screening and prevention efforts for type 2 diabetes mellitus.
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Affiliation(s)
- Kexin Zhu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Pauline Mendola
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Nisha I Parikh
- Division of Cardiovascular Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Vanessa M Barnabei
- Department of Obstetrics and Gynecology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY
| | - Rachael Hageman Blair
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Simin Liu
- Departments of Epidemiology, Medicine, and Surgery, Schools of Public Health and Medicine, Brown University, Providence, RI
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Robert A Wild
- Departments of Obstetrics and Gynecology, Biostatistics and Clinical Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Erin S Leblanc
- Kaiser Permanente, Center for Health Research, Portland, OR
| | - Rachel Sinkey
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL
| | - Peter F Schnatz
- Department of Obstetrics and Gynecology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA
| | - Nazmus Saquib
- Department of Research, College of Medicine, Sulaiman Al Rajhi University, Al Bukayriah, Kingdom of Saudi Arabia
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY.
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Alduayji MM, Selim M. Risk Factors of Gestational Diabetes Mellitus Among Women Attending an Antenatal Care Clinic in Prince Sultan Military Medical City (PSMMC), Riyadh, Kingdom of Saudi Arabia: A Case-Control Study. Cureus 2023; 15:e44200. [PMID: 37767263 PMCID: PMC10521585 DOI: 10.7759/cureus.44200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/27/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a serious health issue for both mother and child. As GDM is common worldwide, healthcare providers pay attention while screening and managing pregnant women to ensure good outcomes for both mother and child. OBJECTIVE This study aims to identify the risk factors associated with developing GDM in pregnant women attending antenatal care clinics in Prince Sultan Military Medical City (PSMMC) in Riyadh, Saudi Arabia. METHODS This is a case-control study that utilized patients' medical records for data collection. The study included 317 pregnant Saudi women who attended antenatal care clinics and antenatal diabetic clinics in PSMMC from May 2022 to May 2023. Cases were defined as women who met the inclusion and exclusion criteria and had a positive oral glucose tolerance test (OGTT) result, while controls were defined as women in the same age group and gravidity who had negative OGTT. Analysis was conducted using SPSS Statistics version 29.0 (IBM Corp. Released 2021. IBM SPSS Statistics for Windows, Version 29.0. Armonk, NY: IBM Corp.) Results: The total number of cases was 132 out of 313 total samples, representing 42.2% of the total sample. Three factors were associated with an increased risk of developing GDM, including a family history of diabetes (p-value <0.001), a history of GDM (p-value <0.001), and macrosomia (p-value = 0.020). The study also found higher BMI and advanced maternal age were risk factors for GDM (p-value = 0.004, 0.007), respectively. However, the study did not find a significant association between GDM and other factors, such as chronic disease prevalence, history of miscarriage, or history of fetal death. CONCLUSION The study identified several risk factors associated with an increased risk of GDM including family history of diabetes, history of GDM, macrosomia, overweight/obesity, and advanced maternal age. It is recommended that antenatal care providers screen for GDM risk factors and closely monitor overweight, obese, or older women. Education and counseling on healthy lifestyle habits, such as maintaining a healthy weight and engaging in physical activity, may also be beneficial for preventing GDM. Further research is needed to confirm and identify additional risk factors for GDM.
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Affiliation(s)
- Maha M Alduayji
- Preventive Medicine Division, Family and Community Medicine Administration, Prince Sultan Military Medical City (PSMMC), Riyadh, SAU
| | - Mohie Selim
- Preventive Medicine Division, Family and Community Medicine Administration, Prince Sultan Military Medical City (PSMMC), Riyadh, SAU
- Department of Public Health and Community Medicine, Faculty of Medicine, Assiut University, Assiut, EGY
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Okui T. Analysis of the Incidence of Macrosomia in Japan by Parental Nationalities at 5-year Intervals From 1995 to 2020. J Prev Med Public Health 2023; 56:348-356. [PMID: 37551073 PMCID: PMC10415649 DOI: 10.3961/jpmph.23.133] [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: 03/14/2023] [Accepted: 06/26/2023] [Indexed: 08/09/2023] Open
Abstract
OBJECTIVES We investigated trends in the incidence rate of macrosomia and its association with parental nationalities using Vital Statistics data in Japan. METHODS We used singleton birth data every 5 years from 1995 to 2020. The incidence rate of macrosomia was calculated according to specific attributes (maternal age, infant's sex, parental nationalities, parity, and household occupation) over time (years). In addition, a log-binomial model was used to investigate the relationship between the incidence of macrosomia and the attributes. This study compared Korea, China, the Philippines, Brazil, and other countries with Japan in terms of parental nationalities. "Other countries" indicates countries except for Japan, Korea, China, the Philippines, and Brazil. RESULTS The study included 6 180 787 births. The rate of macrosomia in Japan decreased from 1.43% in 1995 to 0.88% in 2020, and the decrease was observed across all parental nationalities. The rates for Japanese parents were the lowest values among parental nationalities during the timespan investigated. Multivariate regression analysis showed that mothers from Korea, China, the Philippines, Brazil, and other countries had a significantly higher risk of macrosomia than those from Japan (risk ratio, 1.91, 2.82, 1.59, 1.74, and 1.64, respectively). Furthermore, fathers from China, the Philippines, Brazil, and other countries had a significantly higher risk of macrosomia than those from Japan (risk ratio, 1.66, 1.38, 1.88, and 3.02, respectively). CONCLUSIONS The rate of macrosomia decreased from 1995 to 2020 in Japan for parents of all nationalities, and the risk of macrosomia incidence was associated with parental nationality.
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Affiliation(s)
- Tasuku Okui
- Medical Information Center, Kyushu University Hospital, Fukuoka, Japan
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Reichelt AJ, de Campos MAA, Hirakata VN, Genro VK, Oppermann MLR. A Brazilian cohort of pregnant women with overt diabetes: analyses of risk factors using a machine learning technique. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:e000628. [PMID: 37249459 PMCID: PMC10665057 DOI: 10.20945/2359-3997000000628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 10/12/2022] [Indexed: 05/31/2023]
Abstract
Objective Pregnancy complicated by type 2 diabetes is rising, while data on type 2 diabetes first diagnosed in pregnancy (overt diabetes) are scarce. We aimed to describe the frequency and characteristics of pregnant women with overt diabetes, compare them to those with known pregestational diabetes, and evaluate the potential predictors for the diagnosis of overt diabetes. Subjects and methods A retrospective cohort study including all pregnant women with type 2 diabetes evaluated in two public hospitals in Porto Alegre, Brazil, from May 20, 2005, to June 30, 2021. Classic and obstetric factors associated with type 2 diabetes risk were compared between the two groups, using machine learning techniques and multivariable analysis with Poisson regression. Results Overt diabetes occurred in 33% (95% confidence interval: 29%-37%) of 646 women. Characteristics of women with known or unknown type 2 diabetes were similar; excessive weight was the most common risk factor, affecting ~90% of women. Age >30 years and positive family history of diabetes were inversely related to a diagnosis of overt diabetes, while previous delivery of a macrosomic baby behaved as a risk factor in younger multiparous women; previous gestational diabetes and chronic hypertension were not relevant risk factors. Conclusion Characteristics of women with overt diabetes are similar to those of women with pregestational diabetes. Classic risk factors for diabetes not included in current questionnaires can help identify women at risk of type 2 diabetes before they become pregnant.
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Affiliation(s)
- Angela J Reichelt
- Hospital de Clínicas de Porto Alegre, Serviço de Endocrinologia e Metabologia, Porto Alegre, RS, Brasil; Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Ciências Médicas: Endocrinologia, Porto Alegre, RS, Brasil,
| | | | - Vânia N Hirakata
- Hospital de Clínicas de Porto Alegre, Unidade de Bioestatística e Análise de Dados, Porto Alegre, RS, Brasil
| | - Vanessa K Genro
- Hospital de Clínicas de Porto Alegre, Serviço de Ginecologia e Obstetrícia, Porto Alegre, RS, Brasil
| | - Maria Lúcia R Oppermann
- Hospital de Clínicas de Porto Alegre, Serviço de Ginecologia e Obstetrícia, Porto Alegre, RS, Brasil
- Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Porto Alegre, RS, Brasil
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Venkatesh KK, Grobman WA, Wu J, Catalano P, Landon M, Scholtens D, Lowe WL, Khan SS. Association of a large-for-gestational-age infant and maternal prediabetes mellitus and diabetes mellitus 10 to 14 years after delivery in the Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study. Am J Obstet Gynecol 2023:S0002-9378(23)00133-3. [PMID: 36848986 DOI: 10.1016/j.ajog.2023.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/07/2023] [Accepted: 02/23/2023] [Indexed: 02/27/2023]
Affiliation(s)
- Kartik K Venkatesh
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, 395 W. 12 Ave., Floor 5, Columbus, OH 43210.
| | - William A Grobman
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, 395 W. 12 Ave., Floor 5, Columbus, OH 43210
| | - Jiquiang Wu
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, 395 W. 12 Ave., Floor 5, Columbus, OH 43210
| | - Patrick Catalano
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Tufts University, Boston, MA
| | - Mark Landon
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, Columbus, OH
| | - Denise Scholtens
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Sadiya S Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
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Modzelewski R, Stefanowicz-Rutkowska MM, Matuszewski W, Bandurska-Stankiewicz EM. Gestational Diabetes Mellitus—Recent Literature Review. J Clin Med 2022; 11:jcm11195736. [PMID: 36233604 PMCID: PMC9572242 DOI: 10.3390/jcm11195736] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/25/2022] [Accepted: 09/25/2022] [Indexed: 11/16/2022] Open
Abstract
Gestational diabetes mellitus (GDM), which is defined as a state of hyperglycemia that is first recognized during pregnancy, is currently the most common medical complication in pregnancy. GDM affects approximately 15% of pregnancies worldwide, accounting for approximately 18 million births annually. Mothers with GDM are at risk of developing gestational hypertension, pre-eclampsia and termination of pregnancy via Caesarean section. In addition, GDM increases the risk of complications, including cardiovascular disease, obesity and impaired carbohydrate metabolism, leading to the development of type 2 diabetes (T2DM) in both the mother and infant. The increase in the incidence of GDM also leads to a significant economic burden and deserves greater attention and awareness. A deeper understanding of the risk factors and pathogenesis becomes a necessity, with particular emphasis on the influence of SARS-CoV-2 and diagnostics, as well as an effective treatment, which may reduce perinatal and metabolic complications. The primary treatments for GDM are diet and increased exercise. Insulin, glibenclamide and metformin can be used to intensify the treatment. This paper provides an overview of the latest reports on the epidemiology, pathogenesis, diagnosis and treatment of GDM based on the literature.
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Affiliation(s)
- Robert Modzelewski
- Endocrinology, Diabetology and Internal Medicine Clinic, Department of Internal Medicine, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
| | | | - Wojciech Matuszewski
- Endocrinology, Diabetology and Internal Medicine Clinic, Department of Internal Medicine, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
| | - Elżbieta Maria Bandurska-Stankiewicz
- Endocrinology, Diabetology and Internal Medicine Clinic, Department of Internal Medicine, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
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Cauldwell M, Chmielewska B, Kaur K, van-de-l'Isle Y, Sherry A, Watt Coote I, Steer PJ. Screening for late-onset gestational diabetes: Are there any clinical benefits? BJOG 2022; 129:2176-2183. [PMID: 35304972 DOI: 10.1111/1471-0528.17154] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/23/2022] [Accepted: 02/28/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To determine whether screening for gestational diabetes mellitus (GDM) in the third trimester and managing those who are screen positive on a diabetes pathway affects obstetric and neonatal outcomes. DESIGN Retrospective study of prospectively collected data. SETTING London Teaching Hospital. POPULATION OR SAMPLE A total of 14 366 women delivering between 1 January 2018 and 31 December 2020. METHODS Retrospective chart analysis. MAIN OUTCOME MEASURES Diagnosis of late-onset GDM, obstetric and neonatal outcomes. RESULTS Five hundred and thirty-one women were tested by home glucose monitoring for late-onset GDM from 33 weeks of gestation. In all, 244 were diagnosed as having GDM (group 1) and managed accordingly, and 287 (group 2) were returned to normal care. A total of 1415 women had GDM diagnosed by oral glucose tolerance test before 33 weeks of gestation (group 3). Of the women in group 2, 49.5% had a spontaneous onset of labour compared with only 25.8% and 27% in groups 1 and 3. However, women in group 2 were significantly more likely to have a macrosomic baby (≥4000 g, 25.4%) than groups 1 (16.0%) or 3 (7.2%), and their babies were more likely to be admitted to special care (5.2% versus 2% in group 1). Macrosomic babies were associated with significantly higher rates of shoulder dystocia, third- and fourth-degree tears and postpartum haemorrhage. CONCLUSIONS Apparent late-onset GDM affects a significant proportion of women, and targeted intervention was associated with better obstetric and neonatal outcomes. These results suggest that all pregnancies with risk factors for late-onset GDM might benefit from active GDM management irrespective of specific glucose thresholds.
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Affiliation(s)
- Matthew Cauldwell
- Department of Obstetrics, Maternal Medicine Service, St George's Hospital, London, UK
| | - Basia Chmielewska
- Department of Obstetrics, Maternal Medicine Service, St George's Hospital, London, UK
| | - Kiran Kaur
- Department of Obstetrics, Maternal Medicine Service, St George's Hospital, London, UK
| | - Yolande van-de-l'Isle
- Department of Obstetrics, Maternal Medicine Service, St George's Hospital, London, UK
| | - Anneka Sherry
- Department of Obstetrics, Maternal Medicine Service, St George's Hospital, London, UK
| | - Ingrid Watt Coote
- Department of Obstetrics, Maternal Medicine Service, St George's Hospital, London, UK
| | - Philip J Steer
- Academic Department of Obstetrics and Gynaecology, Chelsea and Westminster Hospital, London, UK
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