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Preterm and Repeat Preterm Births: Identification of At-Risk Women Guide Program Development

Preterm and Repeat Preterm Births: Identification of At-Risk Women Guide Program Development. Lyn Kieltyka, PhD, MPH MCH Epidemiologist CDC Assignee to Louisiana. Rodney Wise, MD, FACOG Maternity Program Medical Director Professor Ob/Gyn, LSUHSC-Shreveport.

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Preterm and Repeat Preterm Births: Identification of At-Risk Women Guide Program Development

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  1. Preterm and Repeat Preterm Births:Identification of At-Risk WomenGuide Program Development Lyn Kieltyka, PhD, MPH MCH Epidemiologist CDC Assignee to Louisiana Rodney Wise, MD, FACOG Maternity Program Medical Director Professor Ob/Gyn, LSUHSC-Shreveport Louisiana Maternal Child Health Program Office of Public Health New Orleans, LA June 24, 2008

  2. Louisiana Infant Mortality Trend1990 - 2005 p < 0.05 p < 0.1 Join point regression

  3. Louisiana PPOR 2000-2002 2003-2004 Total Mortality Rate 11.4 per 1,000 Total Mortality Rate 11.4 per 1,000

  4. LouisianaCaucasian Women 2000-2002 2003-2004 Total Mortality Rate 8.6 per 1,000 Total Mortality Rate 9.0 per 1,000

  5. LouisianaAfrican American Women 2000-2002 2003-2004 Total Mortality Rate 15.4 per 1,000 Total Mortality Rate 15.4 per 1,000

  6. Louisiana Excess Mortality 2000-2002 2003-2004 Total Excess Mortality 5.3 per 1,000 Total Excess Mortality5.3 per 1,000 Internal reference group: LA White women, 20+ years of age, some college

  7. Causes of Infant Mortality ~45-50% related to length of gestation/ fetal growth

  8. Preterm Births in Louisiana Source: National Center for Health Statistics, final natality data. Retrieved June 4, 2008, from www.marchofdimes.com/peristats

  9. Preterm Birth (<37 completed weeks gestation) • Significant problem in Louisiana and the US • 2004 Preterm Births (PTB, 20-36 wks) • U.S. 12.5% • Louisiana 15.6% • 2004 Very Preterm Births (VPTB, 20-31wks) • U.S. 2.0% • Louisiana 2.8% • Rates of PTB are increasing • Contributes to Infant Mortality • Leading cause of infant mortality in Louisiana • Second leading cause of infant mortality in US • Leading cause of African American infant mortality in Louisiana and U.S.

  10. Contributor to Morbidity • Neonatal • Neurodevelopmental handicaps (CP, mental retardation) • Chronic respiratory problems • Intraventricular hemorrhage • Periventricular Leukomalacia • Infection • Retrolental fibroplasia • Necrotizing enterocolitis • Neurosensory deficits (hearing, visual) • Life-long effects of fetal programming • Diabetes • Hypertension • Potential future preterm delivery

  11. Preterm Birth Generates Enormous Health Care Costs • Average newborn hospital charges: $4,300 vs. $58,000 for a preterm baby* • Total U.S. hospital charges for infant stays due to prematurity/low birth weight: $11.9 Billion* • Maternity & related expenses: • Often the largest cost to employers’ health care plans • Costs include: • Contribution to infant mortality/morbidity • Financial costs * Source: Agency for Healthcare Research and Quality, 2000 Nationwide Inpatient Sample Prepared by March of Dimes Perinatal Data Center, 2003

  12. Types of Preterm Birth Spontaneous Preterm Labor Spontaneous Premature Rupture of Membranes Preterm Birth Medical Intervention While this suggests distinct pathways, many of the risk factors for all 3 are similar

  13. Probability of Preterm Labor • Previous preterm birth 30% • >2 previous PTB 70% • Twins 50% • Triplets and higher 75%-95% • Uterine malformations 30%

  14. Pathways to Spontaneous Preterm Labor/Delivery • Infection 40% • cytokines • Stress (maternal/fetal) 25% • CRH • Bleeding (decidual, abruption) 25% • Stretching (uterine distention) 10%

  15. Research Question 1 • What is the relationship between preterm birth and • substance use (smoking and alcohol) before and during pregnancy, • stressful life events • intimate partner violence • pre-pregnancy BMI, weight gain, and • pregnancy spacing (birth interval)?

  16. Methods: All Preterm • Louisiana linked PRAMS-birth data 2000-2004 • Data limited to singletons, 24+ weeks gestation, White / Black race only • Gestational age from birth certificate • 24-31 weeks (very preterm birth, VPTB) • 32-36 weeks (moderate preterm birth, MPTB) • Univariate and bivariate statistics used to assess distributions and relationships with preterm birth • Variables with a significant bivariate relationship (p<0.05) considered in multinomial model • SAS-callable SUDAAN

  17. Sample CharacteristicsLouisiana PRAMS, Singleton births 24+ weeks, 2000-2004 • 60% White • 16% <20 years of age; 26% 30+ years • 22% < 12th grade education; 35% HS • 53% Married • 85% first trimester prenatal care • 45% adequate plus prenatal care • 7% previous preterm delivery

  18. Race** Maternal age* Maternal education* Marital status** Previous PTB/Parity** 1st trimester prenatal care entry* Prenatal Care Adequacy** Health insurance type* Hypertension** Smoking before/during pregnancy* Drinking before/during pregnancy* Intimate partner violence* Stressful life events*** Pre-pregnancy body mass index Maternal weight gain (adjusted for gestation)* Pregnancy spacing** (current date of birth – most recent previous date of birth) Pregnancy Intention* Factors of Interest: All Preterm *p<0.05; **p<0.0001; ***2 of 4 stress variables p<0.05

  19. Multinomial Results: All PretermModifiable Factors

  20. Multinomial Results : All Pretermnon-Modifiable Factors

  21. Multinomial Model Findings • NO relationship • substance use (alcohol or tobacco) • stressful life events (ungrouped or grouped) • pre-pregnancy BMI • WEAK relationship • partner violence • MODERATE relationship • Weight gain for gestation (VPTB only) • Pregnancy spacing • < 12 month interval associated with VPTB and MPTB • > 4 year interval associated with VPTB only • STRONG relationship • Prenatal care adequacy

  22. Research Question 2 • What factors are associated with the second birth event being preterm in Louisiana ? • Identification of risk may help target development of intervention programs • Identification or risk factors may target patient specific monitoring • Identification of risk may target individuals for medical intervention

  23. Methods: Repeat Preterm • Louisiana Vital Records linked with Medicaid program data • First time, singleton Louisiana resident births occurring in 1999-2001 identified • Linked with subsequent births occurring within next 4 years to same mother • Analysis limited to women with 2nd live birth • Outcomes were all preterm birth (PTB, 20-36 wks) and very preterm birth (VPTB, 20-31 weeks) • Chi-square and logistic regression using SAS

  24. Sample CharacteristicsLouisiana Vital Records, All first births, 1999-2001 • 60% White • 33% <20 years of age; 14% 30+ years • 24% < 12th grade education; 34% HS • 86% first trimester prenatal care entry • 54% Medicaid N=79,690

  25. Race Maternal age Maternal Education Prenatal care entry Gestational duration of second pregnancy Hypertension Smoking in pregnancy Pregnancy weight gain Pregnancy spacing Maternal diabetes Medicaid status Factors of Interest: Repeat Preterm Risk factors identified from Birth Certificate-Medicaid linked data

  26. Repeat Preterm Birth:Relationship Between First and Second Birth Event

  27. Factors Associated with Repeat Preterm Birth: Among women with second birth event, N=34,741

  28. Factors Associated with Repeat Preterm Birth:Among women with second birth event, N=34,741

  29. Factors Associated with Repeat Preterm Birth:Among women with second birth event, N=34,741 Smoking not significant in this analysis.

  30. Conclusions:Significant Factors for Repeat Preterm Births • Women in repeat All PTB group: • African American (OR 1.5) • < High school education (OR 1.4) • Age < 20 years (OR 1.4), 20-24 years (OR 1.3) • Poor weight gain (OR 1.5) • Have co-existing hypertension / diabetes (OR 2.4) • Frequent conceptions (OR 3.4, <12 mos) • Women in the repeat VPTB group: • African American (OR 2.3) • < High school education (OR 1.5) • Poor weight gain (OR 2.2) • Have co-existing hypertension / diabetes (OR 1.8) • Frequent conceptions (OR 4.5, <12 mos)

  31. Limitations • Preterm birth analysis • Self-report (PRAMS) • Small sample size in some groups • Repeat Preterm birth • Limited to women who had a repeat birth • Small sample size for the repeat VPTB group • Some characteristics likely under-reported on birth certificate (i.e. smoking) • Subsequent birth may not be identified due to incorrect or missing identifiers • Deterministic linkage only (SSN)

  32. Program Implications for Louisiana • Utilize data to guide program development • Limited program resources allocated to best opportunity for improvement based on program knowledge and data results • Ongoing cycle integrated with program evaluation

  33. Current and Planned Efforts Louisiana Perinatal Commission, Louisiana FIMR Network, and Child Death Review benefit all cells

  34. Challenges • Working across agencies / partnerships • Political will to set priorities / adopt change • Funding and sustainability • Timeliness / availability of data • Need for evidence based programs • Ongoing program monitoring / evaluation

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