Laura Jelliffe-Pawlowski

Faculty

Jelliffe-Pawlowski Headsot

Laura Jelliffe-Pawlowski

MS PhD

1 212 998 9020

433 First Ave
New York, NY 10010
United States

Laura Jelliffe-Pawlowski, PhD, MS, is a Professor. 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.

 

Prof. 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 Meyers, Prof. 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. 

 

Prof. 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.

BA, Psychology, University of California Los Angeles
MS, Child Development, University of California Davis
PhD, Human Development, University of California Davis

Preterm Birth

Forbes 50 over 50 awardee in Innovation (2023)
Delegate, African Academy of Sciences (2016)
Governor Brown Appointee for the California Department of Public Health, Interagency Coordinating Council on Early Intervention
Awardee, Bill and Melinda Bates Foundation, Gates Grand Challenges Phase I and II

Associations between unstable housing, obstetric outcomes, and perinatal health care utilization

Pantell, M. S., Baer, R. J., Torres, J. M., Felder, J. N., Gomez, A. M., Chambers, B. D., Dunn, J., Parikh, N. I., Pacheco-Werner, T., Rogers, E. E., Feuer, S. K., Ryckman, K. K., Novak, N. L., Tabb, K. M., Fuchs, J., Rand, L., & Jelliffe-Pawlowski, L. L. (2019). American Journal of Obstetrics and Gynecology MFM, 1(4). 10.1016/j.ajogmf.2019.100053
Abstract
Abstract
Background: While there is a growing interest in addressing social determinants of health in clinical settings, there are limited data on the relationship between unstable housing and both obstetric outcomes and health care utilization. Objective: The objective of the study was to investigate the relationship between unstable housing, obstetric outcomes, and health care utilization after birth. Study Design: This was a retrospective cohort study. Data were drawn from a database of liveborn neonates linked to their mothers’ hospital discharge records (2007–2012) maintained by the California Office of Statewide Health Planning and Development. The analytic sample included singleton pregnancies with both maternal and infant data available, restricted to births between the gestational age of 20 and 44 weeks, who presented at a hospital that documented at least 1 woman as having unstable housing using the International Classification of Diseases, ninth edition, codes (n = 2,898,035). Infants with chromosomal abnormalities and major birth defects were excluded. Women with unstable housing (lack of housing or inadequate housing) were identified using International Classification of Diseases, ninth edition, codes from clinical records. Outcomes of interest included preterm birth (<37 weeks’ gestational age), early term birth (37–38 weeks gestational age), preterm labor, preeclampsia, chorioamnionitis, small for gestational age, long birth hospitalization length of stay after delivery (vaginal birth, >2 days; cesarean delivery, >4 days), emergency department visit within 3 months and 1 year after delivery, and readmission within 3 months and 1 year after delivery. We used exact propensity score matching without replacement to select a reference population to compare with the sample of women with unstable housing using a one-to-one ratio, matching for maternal age, race/ethnicity, parity, prior preterm birth, body mass index, tobacco use during pregnancy, drug/alcohol abuse during pregnancy, hypertension, diabetes, mental health condition during pregnancy, adequacy of prenatal care, education, and type of hospital. Odds of an adverse obstetric outcome were estimated using logistic regression. Results: Of 2794 women with unstable housing identified, 83.0% (n = 2318) had an exact propensity score–matched control. Women with an unstable housing code had higher odds of preterm birth (odds ratio, 1.2, 95% confidence interval, 1.0–1.4, P < .05), preterm labor (odds ratio, 1.4, 95% confidence interval, 1.2–1.6, P < .001), long length of stay (odds ratio, 1.6, 95% confidence interval, 1.4–1.8, P < .001), emergency department visits within 3 months (odds ratio, 2.4, 95% confidence interval, 2.1–2.8, P < .001) and 1 year after birth (odds ratio, 2.7, 95% confidence interval, 2.4–3.0, P < .001), and readmission within 3 months (odds ratio, 2.7, 95% confidence interval, 2.2–3.4, P < .0014) and 1 year after birth (odds ratio, 2.6, 95% confidence interval, 2.2–3.0, P < .001). Conclusion: Unstable housing documentation is associated with adverse obstetric outcomes and high health care utilization. Housing and supplemental income for pregnant women should be explored as a potential intervention to prevent preterm birth and prevent increased health care utilization.

Combining newborn metabolic and DNA analysis for second-tier testing of methylmalonic acidemia

Peng, G., Shen, P., Gandotra, N., Le, A., Fung, E., Jelliffe-Pawlowski, L., Davis, R. W., Enns, G. M., Zhao, H., Cowan, T. M., & Scharfe, C. (2019). Genetics in Medicine, 21(4), 896-903. 10.1038/s41436-018-0272-5
Abstract
Abstract
Purpose: Improved second-tier tools are needed to reduce false-positive outcomes in newborn screening (NBS) for inborn metabolic disorders on the Recommended Universal Screening Panel (RUSP). Methods: We designed an assay for multiplex sequencing of 72 metabolic genes (RUSPseq) from newborn dried blood spots. Analytical and clinical performance was evaluated in 60 screen-positive newborns for methylmalonic acidemia (MMA) reported by the California Department of Public Health NBS program. Additionally, we trained a Random Forest machine learning classifier on NBS data to improve prediction of true and false-positive MMA cases. Results: Of 28 MMA patients sequenced, we found two pathogenic or likely pathogenic (P/LP) variants in a MMA-related gene in 24 patients, and one pathogenic variant and a variant of unknown significance (VUS) in 1 patient. No such variant combinations were detected in MMA false positives and healthy controls. Random Forest–based analysis of the entire NBS metabolic profile correctly identified the MMA patients and reduced MMA false-positive cases by 51%. MMA screen-positive newborns were more likely of Hispanic ethnicity. Conclusion: Our two-pronged approach reduced false positives by half and provided a reportable molecular finding for 89% of MMA patients. Challenges remain in newborn metabolic screening and DNA variant interpretation in diverse multiethnic populations.

Cross-Generational Contributors to Preterm Birth in California: Singletons Based on Race/Ethnicity

Francois, L. N., Yang, J., Baer, R. J., Chung, P. J., Jelliffe-Pawlowski, L. L., & Coker, T. R. (2019). American Journal of Perinatology, 36(4), 383-392. 10.1055/s-0038-1668554
Abstract
Abstract
Objective: 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 infant <32 weeks was greater for women born at <32 weeks (OR: 2.09, 95% CI: 1.62-2.70) and 32 to 36 weeks (OR: 1.51, 95% CI: 1.35-1.70). This increased risk of preterm delivery was present among women in all race/ethnicity groups (white [AOR: 2.00, 95% CI: 1.52-2.63), black [AOR: 1.79, 95% CI: 1.37-2.34], Hispanic [AOR: 2.39, 95% CI: 2.05-2.79], and Asian [AOR: 2.12, 95% CI: 1.20-3.91]), with hypertension as the only consistent risk factor associated with increased risk of preterm delivery. Conclusion Our findings suggest a cross-generational risk of PTB that is consistent across race/ethnicity with hypertension as the only consistent risk factor.

Development and validation of a clinical model for preconception and early pregnancy risk prediction of gestational diabetes mellitus in nulliparous women

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). PloS One, 14(4). 10.1371/journal.pone.0215173
Abstract
Abstract
Implementation 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

Baer, R. J., Chambers, C. D., Ryckman, K. K., Oltman, S. P., Rand, L., & Jelliffe-Pawlowski, L. L. (2019). Sexually Transmitted Diseases, 46(6), 389-394. 10.1097/OLQ.0000000000000985
Abstract
Abstract
Few studies have examined the relationship between sexually transmitted infections (STIs) and preterm birth (<37 weeks gestation) by subtype (<32 weeks, 32-36 weeks, spontaneous, provider-initiated). Here, we evaluate the odds of preterm (by subtype) and early-term (37 and 38 weeks gestation) birth in women with an STI compared with a propensity score-matched reference population. Methods The sample was selected from California births in 2007 to 2012. Sexually transmitted infection was defined as a maternal diagnosis of chlamydia, gonorrhea, or syphilis in the birth certificate or hospital discharge record. A reference sample of women without an STI was selected using exact propensity score matching on maternal factors. Odds of preterm and early-term birth were calculated. Results Sixteen thousand three hundred twelve women were identified as having an STI during pregnancy and an exact propensity score-matched control was identified for 97.2% (n = 15,860). Women with an indication of syphilis during pregnancy were at 1.6 times higher odds of having a preterm birth and, in particular, at elevated odds of a birth less than 32 weeks due to preterm premature rupture of the membranes or provider-initiated birth (odds ratios 4.0-4.2). Women with gonorrhea were at increased odds of a preterm birth, a birth less than 32 weeks, or an early-term birth (odds ratios 1.2-1.8). Chlamydia did not raise the odds of either a preterm or early-term birth. Conclusions Gonorrhea and syphilis increased the odds of a preterm birth. Gonorrhea also increased the odds of an early-term birth. Chlamydia did not raise the odds of an early birth.

Genetic Risk Scores for Maternal Lipid Levels and Their Association with Preterm Birth

Smith, 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. L., & Ryckman, K. K. (2019). Lipids, 54(10), 641-650. 10.1002/lipd.12186
Abstract
Abstract
Maternal 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

Baer, R. J., Chambers, C. D., Ryckman, K. K., Oltman, S. P., Rand, L., & Jelliffe-Pawlowski, L. L. (2019). American Journal of Medical Genetics, Part A, 179(1), 37-42. 10.1002/ajmg.a.60675
Abstract
Abstract
We examined the association between gastroschisis and preterm birth (PTB, <37 weeks) by subtype. The sample was drawn from singleton live births in California from 2007 to 2012 contained in a birth cohort file maintained by the California Office of Statewide Health Planning and Development (n = 2,891,965; 1,421 with gastroschisis). Relative risks (RRs) and 95% confidence intervals (CIs) were calculated for PTB by gestational age (<34, 34–36, and any <37 weeks) and by type (spontaneous labor with intact membranes, preterm premature rupture of the membranes [PPROM], provider initiated) and were adjusted for maternal characteristics. Over 44.5% of infants with gastroschisis were born preterm because of spontaneous etiologies; notably, 8.4% of infants with gastroschisis were born <34 weeks because of spontaneous etiologies (adjusted RRs 9.1–12.2). Overall, 53.7% of infants with gastroschisis were born preterm compared with only 6.9% of infants without gastroschisis (adjusted RR 15.2, 95% CI 13.6–19.5) and are at particularly high risk of spontaneous PTB. Nearly 9% of infants with gastroschisis delivered <34 weeks, regardless of preterm etiology, indicating that these infants are at great risk for PTB morbidities in addition to the complications from gastroschisis.

Hypertensive Disorders of Pregnancy and Preterm Birth Rates among Black Women

Premkumar, A., Baer, R. J., Jelliffe-Pawlowski, L. L., & Norton, M. E. (2019). American Journal of Perinatology, 36(2), 148-154. 10.1055/s-0038-1660461
Abstract
Abstract
Objective 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?

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). Journal of the American Heart Association, 8(22). 10.1161/JAHA.119.013194
Abstract
Abstract
Background: 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

Beckert, R. H., Baer, R. J., Anderson, J. G., Jelliffe-Pawlowski, L. L., & Rogers, E. E. (2019). Journal of Perinatology, 39(7), 911-919. 10.1038/s41372-019-0375-0
Abstract
Abstract
Objective: This study aims to describe adverse maternal and neonatal outcomes in women diagnosed with anemia in pregnancy. Study design: This was a retrospective cohort study of California live births from 2007–2012, linked to maternal and infant hospital discharge records. Relative risks of adverse maternal and neonatal outcomes were calculated for women with and without anemia. Results: Anemic mothers were more likely to be diagnosed with hypertension, diabetes, placental abruption, or chorioamnionitis, or require a blood transfusion or admission to the intensive care unit (aRRs 1.2–6.8). Infants born to anemic mothers were more likely to be born preterm (8.9% versus 6.5%), but not more likely to suffer morbidities associated with prematurity. Conclusion: In a population-based study, the diagnosis of anemia in pregnancy carries a higher risk of peri-partum, intra-partum, and post-partum complications for the mother, and a higher risk of preterm birth for the infant.