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Durnwald C, Beck RW, Li Z, Norton E, Bergenstal R, Johnson M, Dunnigan S, Banfield M, Krumwiede K, Sibayan J, Calhoun P, Carlson AL. Continuous Glucose Monitoring-Derived Differences in Pregnancies With and Without Adverse Perinatal Outcomes. Obstet Gynecol 2024:00006250-990000000-01110. [PMID: 38995956 DOI: 10.1097/aog.0000000000005668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/25/2024] [Indexed: 07/14/2024]
Abstract
OBJECTIVE To evaluate whether continuous glucose monitoring (CGM)-derived glycemic patterns observed throughout pregnancy were associated with adverse perinatal outcomes, specifically fetal growth disorders and hypertensive disorders of pregnancy (HDP). METHODS We conducted a prospective observational study of individuals with viable singleton pregnancies and screening hemoglobin A1c levels less than 6.5%. Those with preexisting diabetes were excluded. Enrollment occurred at the earliest gestational age before 17 weeks. Participants wore blinded continuous glucose monitors consecutively as willing until delivery. Those with at least 14 days of CGM data were included in analysis. Rates of large-for-gestational-age (LGA) neonates, small-for-gestational age (SGA) neonates, and HDP were assessed. Continuous glucose monitoring-derived glycemic metrics were calculated, including mean glucose level and percent time above and below thresholds. Two-sample t tests were used to compare glycemic metrics between participants with and without adverse perinatal outcomes. RESULTS Of 937 participants enrolled, 760 met inclusion criteria. Those delivering LGA neonates or who were diagnosed with HDP had higher mean glucose levels (102±9 vs 100±8, P=.01 and 103±8 vs 99±8, P<.001) and spent more time above 120 mg/dL (median 16% vs 12%, P=.006, and 16% vs 12%, P<.001, respectively) and above 140 mg/dL (median 3.9% vs 2.8%, P=.006, and 3.5% vs 2.8%, P<.001, respectively) throughout gestation than those without these outcomes. These findings were present regardless of gestational diabetes mellitus status. Participants with SGA neonates had lower mean glucose levels (97±7 vs 101±8, P=.01) and spent less time above 140 mg/dL (median 1.6% vs 2.3%, P=.01) and more time below 63 mg/dL (median 3.0% vs 2.3%, P=.02) than those without SGA neonates. CONCLUSION Individuals with LGA neonates or HDP exhibit a slightly higher mean glucose levels and spend more time hyperglycemic in early pregnancy than those who do not experience these outcomes.
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Affiliation(s)
- Celeste Durnwald
- Maternal Fetal Medicine Research Program, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; the Jaeb Center for Health Research, Tampa, Florida; and the International Diabetes Center, HealthPartners Institute, St. Louis Park, Minnesota
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Szmuilowicz ED, Barbour L, Brown FM, Durnwald C, Feig DS, O’Malley G, Polsky S, Aleppo G. Continuous Glucose Monitoring Metrics for Pregnancies Complicated by Diabetes: Critical Appraisal of Current Evidence. J Diabetes Sci Technol 2024; 18:819-834. [PMID: 38606830 PMCID: PMC11307229 DOI: 10.1177/19322968241239341] [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] [Indexed: 04/13/2024]
Abstract
Ascertaining the utility of continuous glucose monitoring (CGM) in pregnancy complicated by diabetes is a rapidly evolving area, as the prevalence of type 1 diabetes (T1D), type 2 diabetes (T2D), and gestational diabetes mellitus (GDM) escalates. The seminal randomized controlled trial (RCT) evaluating CGM use added to standard care in pregnancy in T1D demonstrated significant improvements in maternal glycemia and neonatal health outcomes. Current clinical guidance recommends targets for percentage time in range (TIR), time above range (TAR), and time below range (TBR) during pregnancy complicated by T1D that are widely used in clinical practice. However, the superiority of CGM over blood glucose monitoring (BGM) is still questioned in both T2D and GDM, and whether glucose targets should be different than in T1D is unknown. Questions requiring additional research include which CGM metrics are superior in predicting clinical outcomes, how should pregnancy-specific CGM targets be defined, whether CGM targets should differ according to gestational age, and if CGM metrics during pregnancy should be similar across all types of diabetes. Limiting the potential for CGM to improve pregnancy outcomes may be our inability to maintain TIR > 70% throughout gestation, a goal achieved in the minority of patients studied. Adverse pregnancy outcomes remain high in women with T1D and T2D in pregnancy despite CGM technology, and this review explores the potential reasons and questions yet to be investigated.
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Affiliation(s)
| | - Linda Barbour
- University of Colorado Anschutz Medical
Campus, Aurora, CO, USA
| | | | | | | | | | - Sarit Polsky
- University of Colorado Anschutz Medical
Campus, Aurora, CO, USA
| | - Grazia Aleppo
- Northwestern University Feinberg School
of Medicine, Chicago, IL, USA
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Tano S, Kotani T, Ushida T, Yoshihara M, Imai K, Nakamura N, Iitani Y, Moriyama Y, Emoto R, Kato S, Yoshida S, Yamashita M, Kishigami Y, Oguchi H, Matsui S, Kajiyama H. Evaluating glucose variability through OGTT in early pregnancy and its association with hypertensive disorders of pregnancy in non-diabetic pregnancies: a large-scale multi-center retrospective study. Diabetol Metab Syndr 2023; 15:123. [PMID: 37296464 DOI: 10.1186/s13098-023-01103-z] [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: 12/16/2022] [Accepted: 05/31/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Recent evidence suggests increased glucose variability (GV) causes endothelial dysfunction, a central pathology of hypertensive disorders of pregnancy (HDP). We aimed to investigate the association between GV in early pregnancy and subsequent HDP development among non-diabetes mellitus (DM) pregnancies. METHODS This multicenter retrospective study used data from singleton pregnancies between 2009 and 2019. Among individuals who had 75 g-OGTT before 20 weeks of gestation, we evaluated GV by 75 g-OGTT parameters and examined its relationship with HDP development, defining an initial-increase from fasting-plasma glucose (PG) to 1-h-PG and subsequent-decrease from 1-h-PG to 2-h-PG. RESULTS Approximately 3.0% pregnancies (802/26,995) had 75 g-OGTT before 20 weeks of gestation, and they had a higher prevalence of HDP (14.3% vs. 7.5%). The initial-increase was significantly associated with overall HDP (aOR 1.20, 95% CI 1.02-1.42), and the subsequent-decrease was associated with decreased and increased development of early-onset (EoHDP: aOR 0.56, 95% CI 0.38-0.82) and late-onset HDP (LoHDP: aOR 1.38, 95% CI 1.11-1.73), respectively. CONCLUSIONS A pattern of marked initial-increase and minor subsequent-decrease (i.e., sustained hyperglycemia) was associated with EoHDP. Contrarily, the pattern of marked initial-increase and subsequent-decrease (i.e., increased GV) was associated with LoHDP. This provides a new perspective for future study strategies.
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Affiliation(s)
- Sho Tano
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of Obstetrics, Perinatal Medical Center, TOYOTA Memorial Hospital, Nagoya, Aichi, Japan
| | - Tomomi Kotani
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
- Division of Perinatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Achi, Japan.
| | - Takafumi Ushida
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Masato Yoshihara
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Kenji Imai
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Noriyuki Nakamura
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yukako Iitani
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yoshinori Moriyama
- Department of Obstetrics and Gynecology, Fujita Health University School of Medicine, Nagoya, Aichi, Japan
| | - Ryo Emoto
- Department of Biostatistics, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Sawako Kato
- Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | | | | | - Yasuyuki Kishigami
- Department of Obstetrics, Perinatal Medical Center, TOYOTA Memorial Hospital, Nagoya, Aichi, Japan
| | - Hidenori Oguchi
- Department of Obstetrics, Perinatal Medical Center, TOYOTA Memorial Hospital, Nagoya, Aichi, Japan
| | - Shigeyuki Matsui
- Department of Biostatistics, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Hiroaki Kajiyama
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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Shah VN, Snell-Bergeon JK, Demmitt JK, Joshee P, Garcetti R, Pyle L, Polsky S. Relationship Between Time-in-Range, HbA1c, and the Glucose Management Indicator in Pregnancies Complicated by Type 1 Diabetes. Diabetes Technol Ther 2021; 23:783-790. [PMID: 34524020 PMCID: PMC9009593 DOI: 10.1089/dia.2021.0093] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Objective: We aimed to evaluate relationships between time-in-range (TIR 63-140 mg/dL), glycated hemoglobin A1c (HbA1c) level, and the glucose management indicator (GMI) in pregnant women with type 1 diabetes. Research Design and Methods: Continuous glucose monitoring (CGM) data from 27 women with type 1 diabetes were collected prospectively throughout pregnancy. Up to 90-days of CGM data were correlated with point-of-care HbA1c levels measured in the clinic at each trimester. GMI levels were calculated using a published regression formula. Liner models were used to compare TIR, HbA1c, and GMI by each trimester. Results: There was a significant negative correlation between TIR and HbA1c; each 10% increase in TIR was associated with a 0.3% reduction in HbA1c. The correlation between TIR and HbA1c was stronger (r = -0.8) during the second and third trimesters than during the first trimester (r = -0.4). There was good correlation between TIR and GMI during each trimester (r = 0.9 for each trimester). The relationship between GMI and HbA1c especially during second (r = 0.8) and third trimesters (r = 0.8) was strong. Conclusion: In the first trimester, the correlation between HbA1c level and TIR was relatively small, while that of TIR and GMI was very strong, thus GMI may better reflect glycemic control than HbA1c in early pregnancy. Each 10% increase in TIR was associated with a 0.3% reduction in HbA1c throughout pregnancy, which was lower than other published studies in nonpregnant populations reporting a 0.5%-0.8% reduction in HbA1c. Further studies are needed to understand the relationship between TIR and GMI and how GMI may affect maternal and fetal complications. Clinical Trial Registration number: NCT02556554.
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Affiliation(s)
- Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Center, Aurora, Colorado, USA
| | - Janet K. Snell-Bergeon
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Center, Aurora, Colorado, USA
| | - Jamie K. Demmitt
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Center, Aurora, Colorado, USA
| | - Prakriti Joshee
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Center, Aurora, Colorado, USA
| | - Rachel Garcetti
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Center, Aurora, Colorado, USA
| | - Laura Pyle
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Center, Aurora, Colorado, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Center, Aurora, Colorado, USA
| | - Sarit Polsky
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Center, Aurora, Colorado, USA
- Address correspondence to: Sarit Polsky, MD, MPH, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, 1775 Aurora Court, MS A140, Aurora, CO 80045, USA
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