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

Revisiting the Table 2 fallacy: A motivating example examining preeclampsia and preterm birth

Bandoli, G., Palmsten, K., Chambers, C. D., Jelliffe-Pawlowski, L. L., Baer, R. J., & Thompson, C. A. (2018). Paediatric and Perinatal Epidemiology, 32(4), 390-397. 10.1111/ppe.12474
Abstract
Abstract
Background: A “Table Fallacy,” as coined by Westreich and Greenland, reports multiple adjusted effect estimates from a single model. This practice, which remains common in published literature, can be problematic when different types of effect estimates are presented together in a single table. The purpose of this paper is to quantitatively illustrate this potential for misinterpretation with an example estimating the effects of preeclampsia on preterm birth. Methods: We analysed a retrospective population-based cohort of 2 963 888 singleton births in California between 2007 and 2012. We performed a modified Poisson regression to calculate the total effect of preeclampsia on the risk of PTB, adjusting for previous preterm birth. pregnancy alcohol abuse, maternal education, and maternal socio-demographic factors (Model 1). In subsequent models, we report the total effects of previous preterm birth, alcohol abuse, and education on the risk of PTB, comparing and contrasting the controlled direct effects, total effects, and confounded effect estimates, resulting from Model 1. Results: The effect estimate for previous preterm birth (a controlled direct effect in Model 1) increased 10% when estimated as a total effect. The risk ratio for alcohol abuse, biased due to an uncontrolled confounder in Model 1, was reduced by 23% when adjusted for drug abuse. The risk ratio for maternal education, solely a predictor of the outcome, was essentially unchanged. Conclusions: Reporting multiple effect estimates from a single model may lead to misinterpretation and lack of reproducibility. This example highlights the need for careful consideration of the types of effects estimated in statistical models.

Risk of preterm birth by maternal age at first and second pregnancy and race/ethnicity

Baer, R. J., Yang, J., Berghella, V., Chambers, C. D., Coker, T. R., Kuppermann, M., Oltman, S. P., Rand, L., Ryckman, K. K., Muglia, L. J., Chung, P. J., & Jelliffe-Pawlowski, L. L. (2018). Journal of Perinatal Medicine, 46(5), 539-546. 10.1515/jpm-2017-0014
Abstract
Abstract
We examined the risk of preterm birth (PTB, <37 weeks' gestation) in a second pregnancy and analyzed the extent to which this risk varies by maternal age and race/ethnicity. The sample included nulligravida mothers in California who delivered two singletons between 2005 and 2011. Logistic regression was used to calculate the odds of PTB in the second pregnancy. Within each race/ethnicity stratum, women delivering term infants in their first pregnancy and between 25 and 34 years old for both pregnancies served as the referent group. There were 2,90,834 women included in the study. Among women who delivered their first infant at term, the odds of delivering their second infant early differed by race and age. Hispanic, Black and Asian non-Hispanic women who were <18 years for both pregnancies were at higher odds of having a PTB in their second pregnancy (adjusted odds ratios 1.7, 3.3 and 2.9, respectively). Asian non-Hispanic women who were <18 years for their first delivery at term and between 18 and 24 years for their second delivery, or were >34 years for both, were also at higher odds of delivering their second baby prematurely (adjusted odds ratios 1.9 and 1.3, respectively). Women who deliver their first infant at <37 weeks of gestation are at 3 to 7 times higher odds of delivering their second infant preterm. Providers should consider including information about these risks in counseling their patients.

Second trimester serum cortisol and preterm birth: an analysis by timing and subtype

Bandoli, G., Jelliffe-Pawlowski, L. L., Feuer, S. K., Liang, L., Oltman, S. P., Paynter, R., Ross, K. M., Schetter, C. D., Ryckman, K. K., & Chambers, C. D. (2018). Journal of Perinatology, 38(8), 973-981. 10.1038/s41372-018-0128-5
Abstract
Abstract
Objective: We hypothesized second trimester serum cortisol would be higher in spontaneous preterm births compared to provider-initiated (previously termed ‘medically indicated’) preterm births. Study design: We used a nested case-control design with a sample of 993 women with live births. Cortisol was measured from serum samples collected as part of routine prenatal screening. We tested whether mean-adjusted cortisol fold-change differed by gestational age at delivery or preterm birth subtype using multivariable linear regression. Result: An inverse association between cortisol and gestational age category (trend p = 0.09) was observed. Among deliveries prior to 37 weeks, the mean-adjusted cortisol fold-change values were highest for preterm premature rupture of the membranes (1.10), followed by premature labor (1.03) and provider-initiated preterm birth (1.01), although they did not differ statistically. Conclusion: Cortisol continues to be of interest as a marker of future preterm birth. Augmentation with additional biomarkers should be explored.

Socioeconomic mediators of racial and ethnic disparities in congenital heart disease outcomes: A population-based study in California

Peyvandi, S., Baer, R. J., Moon-Grady, A. J., Oltman, S. P., Chambers, C. D., Norton, M. E., Rajagopal, S., Ryckman, K. K., Jelliffe-Pawlowski, L. L., & Steurer, M. A. (2018). Journal of the American Heart Association, 7(20). 10.1161/JAHA.118.010342
Abstract
Abstract
Background-—Racial/ethnic and socioeconomic disparities exist in outcomes for children with congenital heart disease. We sought to determine the influence of race/ethnicity and mediating socioeconomic factors on 1-year outcomes for live-born infants with hypoplastic left heart syndrome and dextro-Transposition of the great arteries. Methods and Results-—The authors performed a population-based cohort study using the California Office of Statewide Health Planning and Development database. Live-born infants without chromosomal anomalies were included. The outcome was a composite measure of mortality or unexpected hospital readmissions within the first year of life defined as >3 (hypoplastic left heart syndrome) or >1 readmissions (dextro-Transposition of the great arteries). Hispanic ethnicity was compared with non-Hispanic white ethnicity. Mediation analyses determined the percent contribution to outcome for each mediator on the pathway between race/ethnicity and outcome. A total of 1796 patients comprised the cohort (n=964 [hypoplastic left heart syndrome], n=832 [dextro-Transposition of the great arteries]) and 1315 were included in the analysis (n=477 non-Hispanic white, n=838 Hispanic). Hispanic ethnicity was associated with a poor outcome (crude odds ratio, 1.72; 95% confidence interval [CI], 1.37–2.17). Higher maternal education (crude odds ratio 0.5; 95% CI, 0.38–0.65) and private insurance (crude odds ratio, 0.65; 95% CI, 0.45– 0.71) were protective. In the mediation analysis, maternal education and insurance status explained 33.2% (95% CI, 7–66.4) and 27.6% (95% CI, 6.5–63.1) of the relationship between race/ethnicity and poor outcome, while infant characteristics played a minimal role. Conclusions-—Socioeconomic factors explain a significant portion of the association between Hispanic ethnicity and poor outcome in neonates with critical congenital heart disease. These findings identify vulnerable populations that would benefit from resources to lessen health disparities.

Acylcarnitine Profiles Reflect Metabolic Vulnerability for Necrotizing Enterocolitis in Newborns Born Premature

Sylvester, K. G., Kastenberg, Z. J., Moss, R. L., Enns, G. M., Cowan, T. M., Shaw, G. M., Stevenson, D. K., Sinclair, T. J., Scharfe, C., Ryckman, K. K., & Jelliffe-Pawlowski, L. L. (2017). Journal of Pediatrics, 181, 80-85.e1. 10.1016/j.jpeds.2016.10.019
Abstract
Abstract
Objective To evaluate the association between newborn acylcarnitine profiles and the subsequent development of necrotizing enterocolitis (NEC) with the use of routinely collected newborn screening data in infants born preterm. Study design A retrospective cohort study was conducted with the use of discharge records for infants born preterm admitted to neonatal intensive care units in California from 2005 to 2009 who had linked state newborn screening results. A model-development cohort of 94 110 preterm births from 2005 to 2008 was used to develop a risk-stratification model that was then applied to a validation cohort of 22 992 births from 2009. Results Fourteen acylcarnitine levels and acylcarnitine ratios were associated with increased risk of developing NEC. Each log unit increase in C5 and free carnitine /(C16 + 18:1) was associated with a 78% and a 76% increased risk for developing NEC, respectively (OR 1.78, 95% CI 1.53-2.02, and OR 1.76, 95% CI 1.51-2.06). Six acylcarnitine levels, along with birth weight and total parenteral nutrition, identified 89.8% of newborns with NEC in the model-development cohort (area under the curve 0.898, 95% CI 0.889-0.907) and 90.8% of the newborns with NEC in the validation cohort (area under the curve 0.908, 95% CI 0.901-0.930). Conclusions Abnormal fatty acid metabolism was associated with prematurity and the development of NEC. Metabolic profiling through newborn screening may serve as an objective biologic surrogate of risk for the development of disease and thus facilitate disease-prevention strategies.

The association of maternal lymphatic markers and critical congenital heart defects in the fetus—A population based case-control study

Steurer, M. A., Norton, M. E., Baer, R. J., Shaw, G. M., Keating, S., Moon-Grady, A. J., Chambers, C. D., & Jelliffe-Pawlowski, L. L. (2017). American Journal of Medical Genetics, Part A, 173(5), 1231-1236. 10.1002/ajmg.a.38152
Abstract
Abstract
The objective ot this study was to investigate whether lymphatic markers measured in women during the second trimester are associated with critical congenital heart defects (CCHDs) in offspring. This is a retrospective cohort study of pregnant women who participated in the California Prenatal Screening Program. CCHD data in the offspring was captured by linking birth certificate data with hospital patient discharge records. Second trimester samples were assayed for vascular endothelial growth factor (VEGF), platelet derived growth factor (PDGF) AA/BB, and PDGF AB. Logistic models were used to evaluate the association between lymphatic biomarkers and CCHD. Models were adjusted for other serum biomarkers and maternal characteristics. Results are presented in odds ratios (OR) with 95% confidence intervals (CI). We identified 93 cases with CCHDs and 194 controls without CCHDs. The crude and adjusted OR for log (ln) VEGF was 1.07 (95%CI 0.94–1.22) and 1.08 (95%CI 0.94–1.24), respectively; for ln PDGF AB/BB was 0.93 (95%CI 0.6–1.35) and 0.58 (95%CI 0.32–1.05), respectively. There was a significant association between ln PDFG AA and CCHDs (crude OR 1.83 (95%CI 1.05–3.2); adjusted OR 2.41 (95%CI 1.06–5.44)). Levels of circulating PDGF AA were highest in cases with hypoplastic left heart syndrome (HLHS) (mean 8.78 +/− 1.54 pg/ml). In this study, increased mid-pregnancy maternal serum levels of PDGF AA were associated with CCHDs in offspring. The highest PDGF AA levels were found in mothers of fetuses with HLHS. These findings may be useful in screening for CCHDs and offer insight into their association with nuchal translucency.

Copy number variants in Ebstein anomaly

Giannakou, A., Sicko, R. J., Zhang, W., Romitti, P., Browne, M. L., Caggana, M., Brody, L. C., Jelliffe-Pawlowski, L., Shaw, G. M., Kay, D. M., & Mills, J. L. (2017). PloS One, 12(12). 10.1371/journal.pone.0188168
Abstract
Abstract
Background: Ebstein anomaly (EA) is a rare congenital defect characterized by apical displacement of the septal tricuspid leaflets and atrialization of the right ventricle. The etiology of EA is unclear; however, recurrence in families and the association of EA with genetic syndromes and copy number variants (CNVs) suggest a genetic component. Objective: We performed a population-based study to search for recurrent and novel CNVs in a previously unreported set of EA cases. Methods: We genotyped 60 EA cases identified from all live births (2,891,076) from selected California counties (1991–2010) using the Illumina HumanOmni2.5–8 array. We identified 38 candidate CNVs in 28 (46%) cases and prioritized and validated 11 CNVs based on the genes included. Results: Five CNVs (41%) overlapped or were close to genes involved in early myocardial development, including NODAL, PDLIM5, SIX1, ASF1A and FGF12. We also replicated a previous association of EA with CNVs at 1p34.1 and AKAP12. Finally, we identified four CNVs overlapping or in close proximity to the transcription factors HES3, TRIM71, CUX1 and EIF4EBP2. Conclusions: This study supports the relationship of genetic factors to EA and demonstrates that defects in cardiomyocytes and myocardium differentiation may play a role. Abnormal differentiation of cardiomyocytes and how genetic factors contribute should be examined for their association with EA.

Critical congenital heart defects and abnormal levels of routinely collected first- and second-trimester biomarkers

Borelli, M., Baer, R. J., Chambers, C. D., Smith, T. C., & Jelliffe-Pawlowski, L. L. (2017). American Journal of Medical Genetics, Part A, 173(2), 368-374. 10.1002/ajmg.a.38013
Abstract
Abstract
We examined the association between maternal characteristics, routinely collected first- and second-trimester biomarkers and the risk of having an infant with a critical congenital heart defect (CCHD). Included were women who participated in the California Prenatal Screening Program who had nuchal translucency (NT) measurement and first- and second-trimester serum screening. All pregnancies ended in a live birth of an infant without aneuploidy or a neural tube defect. Poisson regression analyses were used to estimate the relative risk and 95% confidence interval of a CCHD by maternal characteristics, first- and second-trimester serum biomarkers or NT measurements. The sample included 118,194 mother–infant pairs; 284 infants had a CCHD. Women with preexisting diabetes were three-times as likely to have an infant with a CCHD. After adjusting for preexisting diabetes, women with first-trimester human chorionic gonatotropin (hCG) measurement <10th centile were 1.6-times as likely to have an infant with a CCHD (P = 0.011). Women with a NT measurement ≥95th centile were at two- to threefold higher risk of having an infant with a CCHD (P's = 0.004–0.007). Pregnancies with two risk factors for an infant with a CCHD were 5.6-times more likely to have an infant with a CCHD than women with no identified risk factors (P < 0.001). Despite the increased risk, performance testing demonstrated low sensitivity and specificity for screening use of these risk factors. Of the women with an infant with a CCHD, only 21.8% had an identified risk factor.

Dynamic outcome prediction in a socio-demographically diverse population-based cohort of extremely preterm neonates

Steurer, M. A., Anderson, J., Baer, R. J., Oltman, S., Franck, L. S., Kuppermann, M., Rand, L., Ryckman, K. K., Partridge, J. C., Jelliffe-Pawlowski, L. L., & Rogers, E. E. (2017). Journal of Perinatology, 37(6), 709-715. 10.1038/jp.2017.9
Abstract
Abstract
Objective:Accurate outcome prediction is crucial for counseling parents and providing individualized treatment to extremely premature infants. We sought to improve upon existing prediction model by using a diverse population-based cohort of extremely premature live births (1/228 weeks' gestation) for survival and survival without severe neonatal morbidity at different times throughout the first week of life and to evaluate potential differences by race/ethnicity and maternal education.Study design:Retrospective cohort study of all California live births from 2007 through 2011 with linked birth, death and hospital discharge records.Results:A total of 6009 infants were included. In the validation data set at time of delivery, the area under the receiver-operating characteristic curve for the model containing all predictors was 0.863 for survival and 0.789 for survival without severe morbidity. The marginal probability of survival without severe neonatal morbidity of an Asian infant born to a mother with <12 years of education compared with the reference (Caucasian infant, mother with 3/412 years of education) was-0.23 (95% confidence interval (CI)-0.31 to-0.15) for all infants at time of birth and-0.28 (95% CI-0.39 to-0.18) for infants with attempted resuscitation. Notably, no other differences by racial/ethnic category and maternal education emerged.Conclusions:Probabilities of survival and survival without major morbidity change rapidly throughout the first week of life. Extremely premature infants born to Asian mothers with less than a high school education appear to have a lower probability to survive without significant morbidity compared with their Caucasian peers.

Epidemiology of Live Born Infants with Nonimmune Hydrops Fetalis—Insights from a Population-Based Dataset

Steurer, M. A., Peyvandi, S., Baer, R. J., MacKenzie, T., Li, B. C., Norton, M. E., Jelliffe-Pawlowski, L. L., & Moon-Grady, A. J. (2017). Journal of Pediatrics, 187, 182-188.e3. 10.1016/j.jpeds.2017.04.025
Abstract
Abstract
Objective To evaluate the incidence, etiology, and 1-year mortality of nonimmune hydrops fetalis (NIHF) and to identify risk factors for mortality in a contemporary population-based dataset. Study design The California Office of Statewide Health Planning and Development maintains a database linking maternal and infant hospital discharge, readmissions, and birth and death certificate date from 1 year before to 1 year after birth. We searched the database (2005-2012) for infants with NIHF (identified by the International Classification of Diseases, 9th Revision, Clinical Modification code). Hazard models were used to identify risk factors for mortality in infants with NIHF; results are presented as hazard ratios (HRs, 95% CI). Results The incidence of NIHF was 2.5 out of 10 000 among live born infants. Neonatal mortality was 35.1% (364 out of 1037) and overall mortality was 43.2% (448 out of 1037) at 1 year of age. Gestational age (GA) was predictive of mortality with a HR of 2.4 (95% CI 1.9-3.2) for preterm compared with term infants. The GA-adjusted HR for mortality was 1.3 (95% CI 1.1-1.6) for polyhydramnios and 1.5 (95% CI 1.2-2.0) for large for gestational age infants compared with appropriate for GA infants. Aneuploid infants with critical congenital heart disease had an adjusted HR of 2.3 (95% CI 1.5-3.6) compared with euploid infants without a structural birth defect. Conclusions In this large, population-based study, prematurity, polyhydramnios, and large for gestational age were predictors of increased mortality. Mortality is highly variable among euploid and aneuploid infants with and without structural birth defects and critical congenital heart disease.