Laura Jelliffe-Pawlowski
PhD MS
Florence S. and William H. Downs Professor in Nursing Research
Senior Associate Dean of Research
laura.jelliffe.pawlowski@nyu.edu
1 212 998 9020
433 First Ave
New York, NY 10010
United States
Laura Jelliffe-Pawlowski's additional information
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Laura Jelliffe-Pawlowski, PhD, MS, is a Professor at NYU Rory Meyers College of Nursing. Prof. Jelliffe-Pawlowski’s research interests focus on understanding and addressing the drivers and consequences of adverse pregnancy outcomes with a special emphasis on preterm birth and associated racial/ethnic and socioeconomic inequities. Her work is highly transdisciplinary and looks at the interplay of biomolecular, social, and policy factors in observed patterns and outcomes. Her teaching and mentorship activities reflect this transdisciplinary approach with an emphasis on motivating the translation of research findings into action.
Jelliffe-Pawlowski leads a number of statewide, national, and international research efforts funded by the National Institutes of Health, the Bill and Melinda Gates Foundation, the March of Dimes, the State of California, and other entities. These includes, notably, the “Healthy Outcomes of Pregnancy for Everyone (HOPE)” consortium and study which focuses on understanding the experience of pregnant people and their infants pre- and post-COVID 19 pandemic. HOPE examines how biomolecular, social, and community factors affect the well-being and outcomes of mothers and infants and includes enrollment during pregnancy with outcome follow-up to 18-months after birth. Other ongoing projects include, for example, the NIH funded “Prediction Of Maturity, Morbidity, and Mortality in PreTerm Infants (PROMPT)”, study which focuses on examining the metabolic profiles of newborns with early preterm birth and associated outcomes, the “Transforming Health and Reducing PerInatal Anxiety through Virtual Engagement (THRIVE)”, randomized control trial (RCT), funded by the State of California which examines whether digital cognitive behavior therapy delivered by mobile app can assist in reducing anxiety symptoms in pregnant people and also examines participant acceptability of the application. Ongoing efforts also include leading the “California Prediction of Poor Outcomes of Pregnancy (CPPOP)” cohort study which focuses on investigating multi-omic drivers of preterm birth. The study interrogates biomolecular signals associated with preterm birth and includes full genome sequencing and mid-pregnancy biomolecular signaling related to metabolic, immune, stress, and placental function in hundreds of pregnancies with and without preterm birth.
Prior to her joining NYU Rory Meyers College of Nursing, Jelliffe-Pawlowski was a Professor of Epidemiology & Biostatistics, Chief of the Division of Lifecourse Epidemiology, a Professor in the Institute of Global Health Sciences, and Director of Discovery and Precision Health for the UCSF California Preterm Birth Initiative in the University of California San Francisco (UCSF) School of Medicine. She has a lifetime appointment as an Emeritus Professor of Epidemiology & Biostatistics in the UCSF School of Medicine and continues to work closely with the new Center for Birth Equity at UCSF. Prior to her appointment at UCSF, she was a leader at the Genetic Disease Screening Program within the California Department of Public Health.
Jelliffe-Pawlowski efforts have been highlighted in numerous academic and lay articles including in the New York Times, in WIRED Magazine, in the Atlantic, on CNN, and on MSNBC. In 2023, she was recognized by Forbes Magazine as one of the top 50 over 50 Innovators in the United States. She is also a Phase I and Phase II Bill and Melinda Gates Foundation Grand Challenges awardee for her work in the United States and Uganda which focused on the development and validation of newborn metabolic profile as a novel measure of gestational age in infants.
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PhD in Human Development, University of California DavisMS in Child Development, University of California DavisBA in Psychology, University of California Los Angeles
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Preterm Birth
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Faculty Honors Awards
Forbes 50 over 50 awardee in Innovation (2023)Delegate, African Academy of Sciences (2016)Awardee, Bill and Melinda Bates Foundation, Gates Grand Challenges Phase I and IIGovernor Brown Appointee for the California Department of Public Health, Interagency Coordinating Council on Early Intervention -
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Publications
Cross-Generational Contributors to Preterm Birth in California : Singletons Based on Race/Ethnicity
AbstractFrancois, L. N., Yang, J., Baer, R. J., Chung, P. J., Jelliffe-Pawlowski, L., & Coker, T. R. (2019). In American Journal of Perinatology (Vols. 36, Issues 4, pp. 383-392). 10.1055/s-0038-1668554AbstractObjective: Multiple studies have examined cross-generational patterns of preterm birth (PTB), yet results have been inconsistent and generally focused on primarily white populations. We examine the cross-generational PTB risk across racial/ethnic groups. Study Design Retrospective study of 388,474 grandmother-mother-infant triads with infants drawn from birth registry of singleton live births between 2005 and 2011 in California. Using logistic regression (odds ratios [ORs] and confidence intervals [CIs]), we examined the risk of preterm delivery by gestational age, sociodemographic, socioeconomic, and obstetric clinical characteristics stratified by maternal race/ethnicity. Results The risk of having a preterm infantDevelopment and validation of a clinical model for preconception and early pregnancy risk prediction of gestational diabetes mellitus in nulliparous women
AbstractDonovan, B. M., Breheny, P. J., Robinson, J. G., Baer, R. J., Saftlas, A. F., Bao, W., Greiner, A. L., Carter, K. D., Oltman, S. P., Rand, L., Jelliffe-Pawlowski, L., & Ryckman, K. K. (2019). In PloS one (Vols. 14, Issues 4). 10.1371/journal.pone.0215173AbstractImplementation of dietary and lifestyle interventions prior to and early in pregnancy in high risk women has been shown to reduce the risk of gestational diabetes mellitus (GDM) development later in pregnancy. Although numerous risk factors for GDM have been identified, the ability to accurately identify women before or early in pregnancy who could benefit most from these interventions remains limited. As nulliparous women are an under-screened population with risk profiles that differ from their multiparous counterparts, development of a prediction model tailored to nulliparous women may facilitate timely preventive intervention and improve maternal and infant outcomes. We aimed to develop and validate a model for preconception and early pregnancy prediction of gestational diabetes mellitus based on clinical risk factors for nulliparous women. A risk prediction model was built within a large California birth cohort including singleton live birth records from 2007–2012. Model accuracy was assessed both internally and externally, within a cohort of women who delivered at University of Iowa Hospitals and Clinics between 2009–2017, using discrimination and calibration. Differences in predictive accuracy of the model were assessed within specific racial/ethnic groups. The prediction model included five risk factors: race/ethnicity, age at delivery, pre-pregnancy body mass index, family history of diabetes, and pre-existing hypertension. The area under the curve (AUC) for the California internal validation cohort was 0.732 (95% confidence interval (CI) 0.728, 0.735), and 0.710 (95% CI 0.672, 0.749) for the Iowa external validation cohort. The model performed particularly well in Hispanic (AUC 0.739) and Black women (AUC 0.719). Our findings suggest that estimation of a woman’s risk for GDM through model-based incorporation of risk factors accurately identifies those at high risk (i.e., predicted risk >6%) who could benefit from preventive intervention encouraging prompt incorporation of this tool into preconception and prenatal care.Development and validation of a clinical model for preconception and early pregnancy risk prediction of gestational diabetes mellitus in nulliparous women
AbstractJelliffe-Pawlowski, L., Donovan, B. M., Breheny, P. J., Robinson, J. G., Baer, R. J., Saftlas, A. F., Bao, W., Greiner, A. L., Carter, K. D., Oltman, S. P., Rand, L., Jelliffe-Pawlowski, L. L., & Ryckman, K. K. (2019). In PloS one (Vols. 14, Issues 4, p. e0215173).AbstractImplementation of dietary and lifestyle interventions prior to and early in pregnancy in high risk women has been shown to reduce the risk of gestational diabetes mellitus (GDM) development later in pregnancy. Although numerous risk factors for GDM have been identified, the ability to accurately identify women before or early in pregnancy who could benefit most from these interventions remains limited. As nulliparous women are an under-screened population with risk profiles that differ from their multiparous counterparts, development of a prediction model tailored to nulliparous women may facilitate timely preventive intervention and improve maternal and infant outcomes. We aimed to develop and validate a model for preconception and early pregnancy prediction of gestational diabetes mellitus based on clinical risk factors for nulliparous women. A risk prediction model was built within a large California birth cohort including singleton live birth records from 2007-2012. Model accuracy was assessed both internally and externally, within a cohort of women who delivered at University of Iowa Hospitals and Clinics between 2009-2017, using discrimination and calibration. Differences in predictive accuracy of the model were assessed within specific racial/ethnic groups. The prediction model included five risk factors: race/ethnicity, age at delivery, pre-pregnancy body mass index, family history of diabetes, and pre-existing hypertension. The area under the curve (AUC) for the California internal validation cohort was 0.732 (95% confidence interval (CI) 0.728, 0.735), and 0.710 (95% CI 0.672, 0.749) for the Iowa external validation cohort. The model performed particularly well in Hispanic (AUC 0.739) and Black women (AUC 0.719). Our findings suggest that estimation of a woman's risk for GDM through model-based incorporation of risk factors accurately identifies those at high risk (i.e., predicted risk >6%) who could benefit from preventive intervention encouraging prompt incorporation of this tool into preconception and prenatal care.An Evaluation of Sexually Transmitted Infection and Odds of Preterm or Early-Term Birth Using Propensity Score Matching
AbstractBaer, R. J., Chambers, C. D., Ryckman, K. K., Oltman, S. P., Rand, L., & Jelliffe-Pawlowski, L. (2019). In Sexually Transmitted Diseases (Vols. 46, Issues 6, pp. 389-394). 10.1097/OLQ.0000000000000985AbstractFew studies have examined the relationship between sexually transmitted infections (STIs) and preterm birth (Genetic Risk Scores for Maternal Lipid Levels and Their Association with Preterm Birth
AbstractSmith, C. J., Jasper, E. A., Baer, R. J., Breheny, P. J., Paynter, R. A., Bao, W., Robinson, J. G., Dagle, J. M., Jelliffe-Pawlowski, L., & Ryckman, K. K. (2019). In Lipids (Vols. 54, Issues 10, pp. 641-650). 10.1002/lipd.12186AbstractMaternal lipid profiles are associated with risk for preterm birth (PTB), although the lipid component and effect size are inconsistent between studies. It is also unclear whether these associations are the result of excessive changes in lipid metabolism during pregnancy or genetic variability in genes controlling basal lipid metabolism. This study investigates the association between genetic risk scores (GRS) for four lipid components (high-density lipoprotein [HDL-C], low-density lipoprotein [LDL-C], triacylglycerols [TAG], and total cholesterol [TC]) with risk for PTB. Subjects included 954 pregnant women from California for whom second trimester serum samples were available, of which 479 gave birth preterm and 475 gave birth at term. We genotyped 96 single-nucleotide polymorphisms, which were selected from genome-wide association studies of lipid levels in adult populations. Lipid-specific GRS were constructed for HDL-C, LDL-C, TAG, and TC. The associations between GRS and PTB were analyzed using logistic regression. A higher HDL-C GRS was associated with increased risk for PTB overall and spontaneous PTB. Higher TAG and TC GRS were associated with decreased risk for PTB overall and spontaneous PTB. This study identifies counter-intuitive associations between lipid GRS and spontaneous PTB. Further replication studies are needed to confirm these findings, but they suggest that our current scientific understanding of the relationship between lipid metabolism, PTB, and genetics is incomplete.High risk of spontaneous preterm birth among infants with gastroschisis
AbstractBaer, R. J., Chambers, C. D., Ryckman, K. K., Oltman, S. P., Rand, L., & Jelliffe-Pawlowski, L. (2019). In American Journal of Medical Genetics, Part A (Vols. 179, Issue 1, pp. 37-42). 10.1002/ajmg.a.60675AbstractWe examined the association between gastroschisis and preterm birth (PTB,Hypertensive Disorders of Pregnancy and Preterm Birth Rates among Black Women
AbstractPremkumar, A., Baer, R. J., Jelliffe-Pawlowski, L., & Norton, M. E. (2019). In American Journal of Perinatology (Vols. 36, Issues 2, pp. 148-154). 10.1055/s-0038-1660461AbstractObjective The objective of this study was to investigate the role of gestational hypertension (gHTN) and chronic hypertension (cHTN) on rates of preterm birth (PTB) among black women. Study Design Singleton live births between 20 and 44 weeks' gestation among black women in California from 2007 to 2012 were used for analysis. Risk of PTB by subtype and gestational age among women with cHTN or gHTN, including preeclampsia, was calculated via Poisson's logistic regression modeling. Risks were adjusted for maternal factors associated with increased risk of PTB. Results A total of 154,950 women met the inclusion criteria. Of the 5,948 women in the sample with cHTN, 26.2% delivered preterm; for the 11,728 women with gHTN, 21.6% delivered preterm. Women with gHTN or cHTN had a higher risk of medically indicated and spontaneous PTB, both at less than 32 and 32 to 36 weeks, when compared with nonhypertensive women (adjusted relative risks [aRRs]: 3.4-11.6). Women with superimposed preeclampsia had higher risks of spontaneous (aRR: 2.8, 95% confidence interval [CI]: 2.3-3.4) and medically indicated PTB (aRR: 2.8, 95% CI: 2.0-3.8), especially PTB < 32 weeks, when compared with women with preeclampsia. Conclusion Among black women, superimposed preeclampsia increased the risk for spontaneous and medically indicated PTB, especially PTB < 32 weeks.Impaired Fetal Environment and Gestational Age : What Is Driving Mortality in Neonates With Critical Congenital Heart Disease?
AbstractSteurer, M. A., Peyvandi, S., Baer, R. J., Oltman, S. P., Chambers, C. D., Norton, M. E., Ryckman, K. K., Moon-Grady, A. J., Keller, R. L., Shiboski, S. C., & Jelliffe-Pawlowski, L. (2019). In Journal of the American Heart Association (Vols. 8, Issues 22). 10.1161/JAHA.119.013194AbstractBackground: Infants with critical congenital heart disease (CCHD) are more likely to be small for gestational age (SGA) or born to mothers with maternal placental syndrome. The objective of this study was to investigate the relationship between maternal placental syndrome, SGA, and gestational age (GA) on 1-year mortality in infants with CCHD. Methods and Results: In a population-based administrative database of all live-born infants in California (2007–2012) we identified all infants with CCHD without chromosomal anomalies. Our primary predictor was an impaired fetal environment (IFE), defined as presence of maternal placental syndrome or SGA. We calculated hazard ratios to quantify the association between different components of IFE and 1-year mortality and conducted a causal mediation analysis to assess GA at birth as a mediator. We identified 6863 infants with CCHD. IFE was present in 25.1%. Infants with IFE were more likely to die than infants without IFE (16.6% versus 11.1%; hazard ratios 1.55, 95% CI 1.34–1.78). Only SGA (hazard ratios 1.76, 95% CI 1.50–2.05) and placental abruption (hazard ratios 1.70, 95% CI 1.17–2.48) were significantly associated with mortality; preeclampsia and gestational hypertension had no significant association with mortality. The mediation analysis showed that 32.8% (95% CI 24.9–47.0%) of the relationship between IFE and mortality is mediated through GA. Conclusions: IFE is a significant contributor to outcomes in the CCHD population. SGA and placental abruption are the main drivers of postnatal mortality while other maternal placental syndrome components had much less of an impact. Only one third of the effect between IFE and mortality is mediated through GA.Impaired Fetal Environment and Gestational Age: What Is Driving Mortality in Neonates With Critical Congenital Heart Disease?
AbstractJelliffe-Pawlowski, L., Steurer, M. A., Peyvandi, S., Baer, R. J., Oltman, S. P., Chambers, C. D., Norton, M. E., Ryckman, K. K., Moon-Grady, A. J., Keller, R. L., Shiboski, S. C., & Jelliffe-Pawlowski, L. L. (2019). In Journal of the American Heart Association (Vols. 8, Issues 22, p. e013194).AbstractBackground Infants with critical congenital heart disease (CCHD) are more likely to be small for gestational age (SGA) or born to mothers with maternal placental syndrome. The objective of this study was to investigate the relationship between maternal placental syndrome, SGA, and gestational age (GA) on 1-year mortality in infants with CCHD. Methods and Results In a population-based administrative database of all live-born infants in California (2007-2012) we identified all infants with CCHD without chromosomal anomalies. Our primary predictor was an impaired fetal environment (IFE), defined as presence of maternal placental syndrome or SGA. We calculated hazard ratios to quantify the association between different components of IFE and 1-year mortality and conducted a causal mediation analysis to assess GA at birth as a mediator. We identified 6863 infants with CCHD. IFE was present in 25.1%. Infants with IFE were more likely to die than infants without IFE (16.6% versus 11.1%; hazard ratios 1.55, 95% CI 1.34-1.78). Only SGA (hazard ratios 1.76, 95% CI 1.50-2.05) and placental abruption (hazard ratios 1.70, 95% CI 1.17-2.48) were significantly associated with mortality; preeclampsia and gestational hypertension had no significant association with mortality. The mediation analysis showed that 32.8% (95% CI 24.9-47.0%) of the relationship between IFE and mortality is mediated through GA. Conclusions IFE is a significant contributor to outcomes in the CCHD population. SGA and placental abruption are the main drivers of postnatal mortality while other maternal placental syndrome components had much less of an impact. Only one third of the effect between IFE and mortality is mediated through GA.Maternal Anemia and Pregnancy Outcomes : A Population-based Study
AbstractBeckert, R. H., Baer, R. J., Anderson, J. G., Jelliffe-Pawlowski, L., & Rogers, E. E. (2019). In Obstetrical and Gynecological Survey (Vols. 74, Issues 12, pp. 709-710). 10.1097/01.ogx.0000616016.45486.f6Abstract~ -
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