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Diabetes in Pregnancy: Antepartum Considerations and New Perspectives Amy Rouse, MD Maternal-Fetal Medicine Saddleback Memorial Medical Center 31 January 2009 Amy Rouse, MD Maternal-Fetal Medicine Saddleback Memorial Medical Center 31 January 2009
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Objectives After completing this session, the learner should be able: 1) To identify key considerations in women with diabetes/ insulin resistance who may become pregnant 2) To recognize updated guidelines for identifying women at risk for gestational diabetes 3) To understand the impact of hyperglycemia below the threshold of a diagnosis of gestational diabetes After completing this session, the learner should be able: 1) To identify key considerations in women with diabetes/ insulin resistance who may become pregnant 2) To recognize updated guidelines for identifying women at risk for gestational diabetes 3) To understand the impact of hyperglycemia below the threshold of a diagnosis of gestational diabetes
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Part I: Preconception
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Preconception Issues Any woman of reproductive age who is not actively using reliable contraception may become pregnant Periconception glycemic control is the single most influential factor in embryonic development Any woman of reproductive age who is not actively using reliable contraception may become pregnant Periconception glycemic control is the single most influential factor in embryonic development
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Pregnancy Happens... 2009, The National Campaign to Prevent Teen and Unplanned Pregnancy
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… Even to Women with Diabetes St. James PJ et al: Prospective cohort study of 66 women with diabetes 1/3 became pregnant within 5 years (n=23) Only 26 percent of pregnancies were planned Conclusion: Addressing pregnancy planning in women with diabetes must improve St. James PJ et al: Prospective cohort study of 66 women with diabetes 1/3 became pregnant within 5 years (n=23) Only 26 percent of pregnancies were planned Conclusion: Addressing pregnancy planning in women with diabetes must improve Diabetes Care Vol 16, Issue 12 1572-1578; 1993
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page 980 Body_ID: P0980 Body_ID: T037001 Table 37-1. Modified White Classification of Pregnant Diabetic WomenTable 37-1. Modified White Classification of Pregnant Diabetic Women Body_ID: None CLASSDIABETES ONSET AGE (Y)DURATION (Y)VASCULAR DISEASEINSULIN NEED Body_ID: T037001.50 Gestational diabetes Body_ID: T037001.100 A1A1 Any 00 Body_ID: T037001.150 A2A2 Any 0+ Body_ID: T037001.200 Pregestational diabetes Body_ID: T037001.250 B>20 <100+ Body_ID: T037001.300 C10-19or10-190+ Body_ID: T037001.350 D<10or>20++ Body_ID: T037001.400 FAny ++ Body_ID: T037001.450 RAny ++ Body_ID: T037001.500 TAny ++ Body_ID: T037001.550 HAny ++ Courtesy of Gabbe Obstetrics: Normal and Problem Pregnancies White’s Classification in Pregnancy
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Diabetes and Early Pregnancy Loss Poor glycemic control is associated with increased spontaneous abortion Higher loss rates with long standing disease or with vasculopathy Class C, D, and F: SAB rates of 25%, 44%, and 22%, respectively Jovanovic: Loss rate similar to general population with excellent glycemic control Poor glycemic control is associated with increased spontaneous abortion Higher loss rates with long standing disease or with vasculopathy Class C, D, and F: SAB rates of 25%, 44%, and 22%, respectively Jovanovic: Loss rate similar to general population with excellent glycemic control
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Diabetes and Birth Defects Background rate of major congenital malformations ~2% Infants of diabetic mothers: 6-10%, accounting for 40% of perinatal deaths in these babies (Reece EA 1996) Background rate of major congenital malformations ~2% Infants of diabetic mothers: 6-10%, accounting for 40% of perinatal deaths in these babies (Reece EA 1996)
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Diabetes and Birth Defects UK data BMJ 2006: 4.6% major congenital malformation rate in all pregestational diabetic pregnancies Neural tube defects increased 4.2 fold Congenital heart disease increased 3.4 fold UK data BMJ 2006: 4.6% major congenital malformation rate in all pregestational diabetic pregnancies Neural tube defects increased 4.2 fold Congenital heart disease increased 3.4 fold Only 65% of neonatal anomalies were identified antenatally
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Diabetes and Birth Defects Miller et al 1981: 3.4% malformation rate if periconception HbA1c <8.5% 22.4% malformation rate if periconception HbA1c >8.5% End-organ damage not modifiable at time of pregnancy, but control is! Miller et al 1981: 3.4% malformation rate if periconception HbA1c <8.5% 22.4% malformation rate if periconception HbA1c >8.5% End-organ damage not modifiable at time of pregnancy, but control is!
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Diabetes and Birth Defects Lucas et al 1989, n=105: Overall malformation rate 13.3% Lucas et al 1989, n=105: Overall malformation rate 13.3% HbA1c rangeRate of Malformation >11.2%25% 9.2-11.1%23% 7.2-9.1%14% <7.2%0
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Why do Birth Defects Happen? Multifactorial Clear direct association with hyperglycemia 3-6 weeks after conception Teratogenic potential of Inositol Prostaglandins Reactive oxygen species Multifactorial Clear direct association with hyperglycemia 3-6 weeks after conception Teratogenic potential of Inositol Prostaglandins Reactive oxygen species
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Why do Birth Defects Happen? Hyperglycemia in embryo increases oxygen radical production -> inhibits prostacyclin -> increased thromboxanes/ prostaglandins -> abnormal vascularization of developing tissue Mouse model demonstrates decreased defects if prostaglandin inhibitors or antioxidants given (vitamins C and E) Hyperglycemia in embryo increases oxygen radical production -> inhibits prostacyclin -> increased thromboxanes/ prostaglandins -> abnormal vascularization of developing tissue Mouse model demonstrates decreased defects if prostaglandin inhibitors or antioxidants given (vitamins C and E)
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Preventing Birth Defects Planned pregnancy/ recognize potential for pregnancy Preconception consultation Achieve glycemic control (more to follow) Multivitamins or prenatal vitamins Folic acid supplementation Planned pregnancy/ recognize potential for pregnancy Preconception consultation Achieve glycemic control (more to follow) Multivitamins or prenatal vitamins Folic acid supplementation
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“I don’t have diabetes.” Increasing concerns in group of women with Prediabetes, Impaired Glucose Tolerance Polycystic Ovarian Syndrome (PCOS) Obesity We need your help! Screen and treat! Increasing concerns in group of women with Prediabetes, Impaired Glucose Tolerance Polycystic Ovarian Syndrome (PCOS) Obesity We need your help! Screen and treat!
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PCOS and Pregnancy Outcome Thatcher SS 2006: Retrospective analysis in suburban REI practice, n=237 pregnancies Pts used metformin +/- clomid, gonadotropins, or ART Increased GDM and prematurity Did not observe change in rate of malformation Thatcher SS 2006: Retrospective analysis in suburban REI practice, n=237 pregnancies Pts used metformin +/- clomid, gonadotropins, or ART Increased GDM and prematurity Did not observe change in rate of malformation
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Part II: Early Identification of Gestational Diabetes
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Gestational Diabetes Maternal Risks Excessive weight gain Preeclampsia Cesarean section Future gestational diabetes Subsequent type 2 diabetes and heart disease Maternal Risks Excessive weight gain Preeclampsia Cesarean section Future gestational diabetes Subsequent type 2 diabetes and heart disease Risks to Offspring Macrosomia Birth trauma Hypoglycemia Delayed lung maturation Hypocalcemia Polycythemia Stillbirth Childhood disease
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Neonatal Morbidity - Delayed Lung Maturation Moore TM et al AJOG 2003
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Neonatal Morbidity - Shoulder Dystocia Nesbitt TS et al AJOG 1998
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Neonatal Morbidity - Birth Trauma Brachial plexus injury Facial nerve injury Fractures of humerus or clavicle Cephalohematoma Brain injury Death Brachial plexus injury Facial nerve injury Fractures of humerus or clavicle Cephalohematoma Brain injury Death
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Neonatal Morbidity - Birth Trauma Athukorala et al: positive relationship between maternal fasting hyperglycemia and incidence of shoulder dystocia Risk doubled with each 1 mmol increase in fasting glucose value on OGTT Athukorala et al: positive relationship between maternal fasting hyperglycemia and incidence of shoulder dystocia Risk doubled with each 1 mmol increase in fasting glucose value on OGTT
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Screening for GDM First step: Early identification of risk factors Second step: One hour 50 g glucose screen Third step: Three hour 100 g OGTT for diagnosis First step: Early identification of risk factors Second step: One hour 50 g glucose screen Third step: Three hour 100 g OGTT for diagnosis
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Risk Factors for GDM: Assess at First Prenatal Visit Overweight before pregnancy (BMI > 25) 1 st degree relative with diabetes Previous glucose intolerance/ GDM Previous macrosomia or large for gestational age baby Overweight before pregnancy (BMI > 25) 1 st degree relative with diabetes Previous glucose intolerance/ GDM Previous macrosomia or large for gestational age baby PCOS Age > 25 yrs Members of certain ethnic groups Multiparous women (13%) Left column are HIGH RISK factors
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Universal Screening v. Selective Screening for GDM Cosson et al compared universal to selective screening Universal group had more favorable fetal outcomes Williams et al studied following ADA guidelines (not screening low risk) 10 to 11% would not have been screened Missed 4% who would have been diagnosed with GDM Cosson et al compared universal to selective screening Universal group had more favorable fetal outcomes Williams et al studied following ADA guidelines (not screening low risk) 10 to 11% would not have been screened Missed 4% who would have been diagnosed with GDM
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Screening for GDM High risk patient requires screening earlier in pregnancy, before 24-28 weeks, ideally at first prenatal visit First trimester glucose intolerance triggers suspicious pre- existing overt diabetes (type 1 or type 2) or insulin resistance High risk patient requires screening earlier in pregnancy, before 24-28 weeks, ideally at first prenatal visit First trimester glucose intolerance triggers suspicious pre- existing overt diabetes (type 1 or type 2) or insulin resistance *First OB appt* Risk Factors Assessed High risk-do 50 g screen Low risk-screen at 24-28 wks
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ADA Position Statement 50–G oral glucose tolerance screen for GDM 140mg cutoff -- 80% sensitivity 130mg cutoff -- 90% sensitivity Alternatively, patients with high risk factors can go directly to diagnostic testing instead of initial screening 140mg cutoff -- 80% sensitivity 130mg cutoff -- 90% sensitivity Alternatively, patients with high risk factors can go directly to diagnostic testing instead of initial screening
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Screening for GDM 50-g oral glucose challenge Serum glucose cut-off point Proportion with positive test Sensitivity for GDM > 140 mg/dl 14-18%80% > 130 mg/dl Recommendations as proposed by Metzger et al 20-25 %90%
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Diagnosis of GDM Using 3-hour 100 g OGTT KEEP IN MIND PATIENT MAY BE: undiagnosed type 2 mild abnormal glucose tolerance prior to pregnancy that worsens with gestation normal glucose tolerance before pregnancy that becomes abnormal with advancing gestation undiagnosed type 1 (symptoms but no diagnosis) KEEP IN MIND PATIENT MAY BE: undiagnosed type 2 mild abnormal glucose tolerance prior to pregnancy that worsens with gestation normal glucose tolerance before pregnancy that becomes abnormal with advancing gestation undiagnosed type 1 (symptoms but no diagnosis)
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ADA and WHO Criteria for the Diagnosis of Gestational Diabetes Mellitus ADA 100-gADA 75-gWHO 75-g Fasting (mg/dl)95 126 1-hour (mg/dl)180 ---- 2-hour (mg/dl)155 140 3-hour (mg/dl)140---- Two or more values must be met or exceeded for dx of GDM with 100 g OGTT
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Part III: Hyperglycemia, Not Diabetes, in Pregnancy Whattoexpect.com
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HAPO Study – Purpose NEJM May 8, 2008 Hyperglycemia and Adverse Pregnancy Outcomes To clarify risks of adverse outcomes associated with degrees of maternal glucose intolerance not meeting criteria for gestational diabetes mellitus NEJM May 8, 2008 Hyperglycemia and Adverse Pregnancy Outcomes To clarify risks of adverse outcomes associated with degrees of maternal glucose intolerance not meeting criteria for gestational diabetes mellitus
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Background – Pedersen Hypothesis 1952: Maternal hyperglycemia causes fetal hyperglycemia, which leads to exaggerated fetal response to insulin
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HAPO Study Cooperative Research Group Cohort study Fifteen centers in nine countries 25,505 pregnant women underwent 75 g oral GTT at 24-32 weeks gestation Patients and providers blinded to results unless unsafe: Fasting >105 mg/ dL 2 hour glucose > 200 mg/ dL Any glucose 160 mg/ dL Cohort study Fifteen centers in nine countries 25,505 pregnant women underwent 75 g oral GTT at 24-32 weeks gestation Patients and providers blinded to results unless unsafe: Fasting >105 mg/ dL 2 hour glucose > 200 mg/ dL Any glucose 160 mg/ dL
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HAPO Study – Exclusions < 18 y/o Delivering outside of study facility Unknown dating/ poor dating Multiple gestation Conception by IVF or gonadotropin use Prior dx of GDM or DM Prior glucose testing this pregnancy Infection with HIV, Hep B, Hep C < 18 y/o Delivering outside of study facility Unknown dating/ poor dating Multiple gestation Conception by IVF or gonadotropin use Prior dx of GDM or DM Prior glucose testing this pregnancy Infection with HIV, Hep B, Hep C
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HAPO Study – Primary Outcomes Birth weight > 90 th percentile for gestational age Primary cesarean delivery Clinical neonatal hypoglycemia Cord-blood serum C-peptide level above 90 th percentile Birth weight > 90 th percentile for gestational age Primary cesarean delivery Clinical neonatal hypoglycemia Cord-blood serum C-peptide level above 90 th percentile
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HAPO Study – Secondary Outcomes Delivery < 37 weeks gestation Shoulder dystocia or birth injury Need for admission to NICU Hyperbilirubinemia Preeclampsia Delivery < 37 weeks gestation Shoulder dystocia or birth injury Need for admission to NICU Hyperbilirubinemia Preeclampsia
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HAPO – Statistics Continuous variables – mean and standard deviation Categorial data – number and percentage Glucose measurements evaluated as both continuous and categorical for primary outcomes For secondary outcomes, only continuous Continuous variables – mean and standard deviation Categorial data – number and percentage Glucose measurements evaluated as both continuous and categorical for primary outcomes For secondary outcomes, only continuous
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HAPO – Data Analysis, Categorical Glycemic values categorized into seven levels for fasting, 1- and 2-hour values Ex] fasting subsets included: 100-104 (105 unblinded) – 99 th percentile 95-99 – 97 th percentile 90-94 85-89 80-84 75-79 <75 Glycemic values categorized into seven levels for fasting, 1- and 2-hour values Ex] fasting subsets included: 100-104 (105 unblinded) – 99 th percentile 95-99 – 97 th percentile 90-94 85-89 80-84 75-79 <75
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HAPO – Data Analysis, Continuous Odds ratios calculated for a 1 standard deviation increase Fasting 1-hour 2-hour Logistic regression models Adjusted for confounders BMI Age Smoking Hypertension Family history of DM, etc. Odds ratios calculated for a 1 standard deviation increase Fasting 1-hour 2-hour Logistic regression models Adjusted for confounders BMI Age Smoking Hypertension Family history of DM, etc.
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Mean values were recorded as fasting 81, 1 hr 134, 2 hr 111
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Summary of HAPO Findings Associations between increasing fasting, 1- hour, and 2-hour glucose values and Birthweight > 90 th percentile Cord blood serum C-peptide Primary cesarean (weaker) Neonatal hypoglycemia (weaker) Premature delivery Shoulder dystocia/ birth injury NICU admission Hyperbilirubinemia Preeclampsia All in patients who are below criteria for GDM Associations between increasing fasting, 1- hour, and 2-hour glucose values and Birthweight > 90 th percentile Cord blood serum C-peptide Primary cesarean (weaker) Neonatal hypoglycemia (weaker) Premature delivery Shoulder dystocia/ birth injury NICU admission Hyperbilirubinemia Preeclampsia All in patients who are below criteria for GDM
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Future Study Instead of screening for glucose intolerance, screening for hypoglycemia? (Everyone at risk goes on the diet) Screening and treating for macrosomia? For “diabetogenic pregnancies”? Establishment of new thresholds for diagnosing gestational diabetes or gestational glucose intolerance? (Ex] One abnormal value on 3 hr GTT? One SD above the mean?) Stronger evidence that treatment improves (clinically relevant) outcomes? Instead of screening for glucose intolerance, screening for hypoglycemia? (Everyone at risk goes on the diet) Screening and treating for macrosomia? For “diabetogenic pregnancies”? Establishment of new thresholds for diagnosing gestational diabetes or gestational glucose intolerance? (Ex] One abnormal value on 3 hr GTT? One SD above the mean?) Stronger evidence that treatment improves (clinically relevant) outcomes?
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Will More Treatment Mean Better Outcomes? ACHOIS Trial: Evaluated neonatal outcomes in women with gestational diabetes NNT to avoid one adverse outcome: 43 HAPO demonstrated fewer IUGR/ SGA babies Problems if aggressively treat mild hyperglycemia? Associations not tested, may not be causally mediated ACHOIS Trial: Evaluated neonatal outcomes in women with gestational diabetes NNT to avoid one adverse outcome: 43 HAPO demonstrated fewer IUGR/ SGA babies Problems if aggressively treat mild hyperglycemia? Associations not tested, may not be causally mediated
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What to do Today: Don’t Forget Postpartum Testing All women with diagnosis of gestational diabetes should be offered screening in the nonpregnant state Fasting glucose 2-hour 75 g OGTT Cohort study demonstrated 58% risk of overt DM within 8 years (previously quoted 15 yrs) Weight loss and lifestyle changes can reduce risk by 50% All women with diagnosis of gestational diabetes should be offered screening in the nonpregnant state Fasting glucose 2-hour 75 g OGTT Cohort study demonstrated 58% risk of overt DM within 8 years (previously quoted 15 yrs) Weight loss and lifestyle changes can reduce risk by 50%
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Summary The optimal time to positively influence pregnancy outcome is before the patient gets pregnant Role of primary care physicians and educators is critical (this means you!) Gestational diabetes can be identified in the first trimester in a cohort of high risk patients Small differences in blood glucose translate to significant differences in pregnancy outcomes The optimal time to positively influence pregnancy outcome is before the patient gets pregnant Role of primary care physicians and educators is critical (this means you!) Gestational diabetes can be identified in the first trimester in a cohort of high risk patients Small differences in blood glucose translate to significant differences in pregnancy outcomes
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