
Laura Jelliffe-Pawlowski
PhD MS
laura.jelliffe.pawlowski@nyu.edu 1 212 998 9020433 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
Hypertensive disorders of pregnancy among women with a history of leukemia or lymphoma
AbstractAnand, S. T., Ryckman, K. K., Baer, R. J., Charlton, M. E., Breheny, P. J., Terry, W. W., McLemore, M. R., Karasek, D. A., Jelliffe-Pawlowski, L., & Chrischilles, E. A. (2022). (Vols. 29, pp. 101-107). 10.1016/j.preghy.2022.07.002AbstractObjective: Hypertension during pregnancy can adversely affect maternal and fetal health. This study assessed whether diagnosis of leukemia or lymphoma prior to pregnancy is associated with hypertensive disorders of pregnancy including gestational hypertension, preeclampsia and eclampsia. Study design: A cross-sectional study used two statewide population-based datasets that linked birth certificates with sources of maternal medical history: hospital discharges in California and Surveillance, Epidemiology, and End Results (SEER) cancer registry data in Iowa. Birth years included 2007–2012 in California and 1989–2018 in Iowa. Main outcome measures: Primary outcome measure was hypertension in pregnancy measured from combined birth certificate and hospital diagnoses in California (for gestational hypertension, preeclampsia, or eclampsia) and birth certificate information (gestational hypertension or eclampsia) in Iowa. Results: After adjusting for maternal age, race, education, smoking, and plurality, those with a history of leukemia/lymphoma were at increased risk of hypertensive disorders of pregnancy in Iowa (odds ratio (OR) = 1.86; 95% CI 1.07–3.23), but not in California (OR = 1.12; 95% CI 0.87–1.43). In sensitivity analysis restricting to more severe forms of hypertension in pregnancy (preeclampsia and eclampsia) in the California cohort, the effect estimate increased (OR = 1.29; 95% CI 0.96–1.74). Conclusion: In a population-based linked cancer registry-birth certificate study, an increased risk of hypertensive disorders of pregnancy was observed among leukemia or lymphoma survivors. Findings were consistent but non-significant in a second, more ethnically diverse study population with less precise cancer history data. Improved monitoring and surveillance may be warranted for leukemia or lymphoma survivors throughout their pregnancies.Incidence, Risk Factors, and Reasons for 30-Day Hospital Readmission Among Healthy Late Preterm Infants
AbstractAmsalu, R., Oltman, S. P., Baer, R. J., Medvedev, M. M., Rogers, E. E., & Jelliffe-Pawlowski, L. (2022). (Vols. 12, Issues 7, pp. 639-646). 10.1542/hpeds.2021-006215AbstractOBJECTIVE: Late preterm infants have an increased risk of morbidity relative to term infants. We sought to determine the rate, temporal trend, risk factors, and reasons for 30-day readmission. METHODS: This is a retrospective cohort study of infants born at 34 to 42 weeks’ gestation in California between January 1, 2011, and December 31, 2017. Birth certificates maintained by California Vital Statistics were linked to discharge records maintained by the California Office of Statewide Health Planning and Development. Multivariable logistic regression was used to identify risk factors and derive a predictive model. RESULTS: Late preterm infants represented 4.3% (n = 122 014) of the study cohort (n = 2 824 963), of which 5.9% (n = 7243) were readmitted within 30 days. Compared to term infants, late preterm infants had greater odds of readmission (odds ratio [OR]: 2.34 [95% confidence interval (CI): 2.28–2.40]). The temporal trend indicated increases in all-cause and jaundice-specific readmission infants (P < .001). The common diagnoses at readmission were jaundice (58.9%), infections (10.8%), and respiratory complications (3.5%). In the adjusted model, factors that were associated with greater odds of readmission included assisted vaginal birth, maternal age ≥34 years, diabetes, chorioamnionitis, and primiparity. The model had predictive ability of 60% (c-statistic 0.603 [95% CI: 0.596–0.610]) in late preterm infants who hadThe independent and combined influences of small for gestational age and socioeconomic status on newborn metabolite levels
AbstractMcCarthy, M. E., Oltman, S. P., Rogers, E. E., Ryckman, K., Jelliffe-Pawlowski, L., & Danilack, V. A. (2022). (Vols. 35, Issues 25, pp. 6192-6198). 10.1080/14767058.2021.1909562AbstractObjectives: To determine whether socioeconomic status (SES) and small birthweight for gestational age (SGA) exhibit independent or joint effects on infant levels of 42 metabolites. Study design: Population-based retrospective cohort of metabolic newborn screening information linked to hospital discharge data. SGA infants defined by birthweightInterpregnancy Interval and Birth Outcomes : A Propensity Matching Study in the California Population
AbstractCongdon, J. L., Baer, R. J., Arcara, J., Feuer, S. K., Gómez, A. M., Karasek, D., Oltman, S. P., Pantell, M. S., Ryckman, K., & Jelliffe-Pawlowski, L. (2022). (Vols. 26, Issues 5, pp. 1115-1125). 10.1007/s10995-022-03388-4AbstractIntroduction: Previous studies that used traditional multivariable and sibling matched analyses to investigate interpregnancy interval (IPI) and birth outcomes have reached mixed conclusions about a minimum recommended IPI, raising concerns about confounding. Our objective was to isolate the contribution of interpregnancy interval to the risk for adverse birth outcomes using propensity score matching. Methods: For this retrospective cohort study, data were drawn from a California Department of Health Care Access and Information database with linked vital records and hospital discharge records (2007–2012). We compared short IPIs of < 6, 6–11, and 12–17 months to a referent IPI of 18–23 months using 1:1 exact propensity score matching on 13 maternal sociodemographic and clinical factors. We used logistic regression to calculate the odds of preterm birth, early-term birth, and small for gestational age (SGA). Results: Of 144,733 women, 73.6% had IPIs < 18 months, 5.5% delivered preterm, 27.0% delivered early-term, and 6.0% had SGA infants. In the propensity matched sample (n = 83,788), odds of preterm birth were increased among women with IPI < 6 and 6–11 months (OR 1.89, 95% CI 1.71–2.0; OR 1.22, 95% CI 1.13–1.31, respectively) and not with IPI 12–17 months (OR 1.01, 95% CI 0.94–1.09); a similar pattern emerged for early-term birth. The odds of SGA were slightly elevated only for intervals < 6 months (OR 1.10, 95% CI 1.00–1.20, pMaternal, infant, and environmental risk factors for sudden unexpected infant deaths : results from a large, administrative cohort
AbstractBandoli, G., Baer, R. J., Owen, M., Kiernan, E., Jelliffe-Pawlowski, L., Kingsmore, S., & Chambers, C. D. (2022). (Vols. 35, Issues 25, pp. 8998-9005). 10.1080/14767058.2021.2008899AbstractObjectives: Many studies of sudden unexpected infant death (SUID) have focused on individual domains of risk factors (maternal, infant, and environmental), resulting in limited capture of this multifactorial outcome. The objective of this study was to examine the geographic distribution of SUID in San Diego County, and assess maternal, infant, and environmental risk factors from a large, administrative research platform. Study design: Births in California between 2005 and 2017 were linked to hospital discharge summaries and death files. From this retrospective birth cohort, cases of SUID were identified from infant death files in San Diego County. We estimated adjusted hazard ratios (aHRs) for infant, maternal, and environmental factors and SUID in multivariable Cox regression analysis. Models were adjusted for maternal sociodemographic characteristics and prenatal nicotine exposure. Results: There were 211 (44/100,000 live births; absolute risk 0.04%) infants with a SUID among 484,905 live births. There was heterogeneity in geographic distribution of cases. Multiparity (0.05%; aHR 1.4, 95% confidence interval (CI) 1.1, 1.9), maternal depression (0.11%; aHR 1.8, 95% CI 1.0, 3.4), substance-related diagnoses (0.27%; aHR 2.3, 95% CI 1.3, 3.8), cannabis-related diagnosis (0.35%; aHR 2.7, 95% CI 1.5, 5.0), prenatal nicotine use (0.23%; aHR 2.5, 95% CI 1.5, 4.2), preexisting hypertension (0.11%; aHR 2.3, 95% CI 1.2, 4.3), preterm delivery (0.09%; aHR 2.1, 95% CI 1.5, 3.0), infant with a major malformation (0.09%; aHR 2.0, 95% CI 1.1, 3.6), respiratory distress syndrome (0.12%; aHR 2.6, 95% CI 1.5, 4.6), and select environmental factors were all associated with SUID. Conclusions: Multiple risk factors were confirmed and expanded upon, and the geographic distribution for SUID in San Diego County was identified. Through this approach, prevention efforts can be targeted to geographies that would benefit the most.Metabolic differences among newborns born to mothers with a history of leukemia or lymphoma
AbstractAnand, S. T., Ryckman, K. K., Baer, R. J., Charlton, M. E., Breheny, P. J., Terry, W. W., Kober, K., Oltman, S., Rogers, E. E., Jelliffe-Pawlowski, L., & Chrischilles, E. A. (2022). (Vols. 35, Issues 25, pp. 6751-6758). 10.1080/14767058.2021.1922378AbstractBackground: Leukemia and lymphoma are cancers affecting children, adolescents, and young adults and may affect reproductive outcomes and maternal metabolism. We evaluated for metabolic changes in newborns of mothers with a history of these cancers. Methods: A cross-sectional study was conducted on California births from 2007 to 2011 with linked maternal hospital discharge records, birth certificate, and newborn screening metabolites. History of leukemia or lymphoma was determined using ICD-9-CM codes from hospital discharge data and newborn metabolite data from the newborn screening program. Results: A total of 2,068,038 women without cancer history and 906 with history of leukemia or lymphoma were included. After adjusting for differences in maternal age, infant sex, age at metabolite collection, gestational age, and birthweight, among newborns born to women with history of leukemia/lymphoma, several acylcarnitines were significantly (pRacial Disparities in Cesarean Delivery Rates : Do Hospital-Level Factors Matter?
AbstractNicole Teal, E., Baer, R. J., Jelliffe-Pawlowski, L., & Mengesha, B. (2022). (Vols. 41, Issues 4, pp. 375-382). 10.1055/s-0043-1776346AbstractObjective This study aimed to assess whether racial disparities in nulliparous, term, singleton, vertex cesarean delivery rates vary among hospitals of different type (academic vs. nonacademic), setting (urban vs. rural), delivery volume, and patient population. Study Design This is a retrospective cohort study including singleton term vertex live births in nulliparous Black and non-Hispanic White birthing people in California between 2011 and 2017. Cesarean delivery rates were obtained using birth certificate data and International Classification of Diseases, 9th/10th Revision codes. Risk of cesarean delivery was compared among Black versus White birthing people by hospital type (academic, nonacademic), setting (rural, suburban, urban), volume (< 1,200, 1,200-2,300, 2,400-3,599, ≥3,600 deliveries annually), and patient population (proportion Black-serving). Federal Information Processing codes were used to designate hospital setting. Risks were calculated using univariable and multivariable logistic regression and adjusted for birthing person age, body mass index, medical comorbidities, gestational age, labor type (spontaneous vs. induction), and infant birthweight. Results The sample included 59,441 Black (cesarean delivery rate: 30.2%) and 363,624 White birthing people (cesarean delivery rate: 26.1%). Black birthing people were significantly more likely than White birthing people to have a cesarean delivery across nearly all hospital-level factors considered with adjusted relative risks ranging from 1.1 to 1.3. The only exception was rural settings in which the adjusted relative risk was 1.3 but did not reach statistical significance. Conclusion Black-White disparities in nulliparous, term, singleton, vertex cesarean delivery rates were persistent across all hospital-level factors we considered: academic status, rurality, delivery volume, and patient population. Furthermore, disparities existed at roughly the same magnitude regardless of hospital characteristics. These global increased risks likely reflect structural inequities in care, which contribute to disparities in pregnancy-related morbidity and mortality. These data should encourage providers, hospital systems, and quality collaboratives to further investigate racial disparities in cesarean delivery rates and develop strategies for eliminating them. Key Points Nulliparous Black birthing people are more likely than White to undergo cesarean delivery. This persists across hospitals of all academic status, rurality, delivery volume, and patient population. These findings likely reflect structural rather than institutional inequities in obstetric care.Racial disparities in emergency mental healthcare utilization among birthing people with preterm infants
AbstractKarvonen, K. L., Baer, R. J., Blebu, B., Calthorpe, L., Fuchs, J. D., Jelliffe-Pawlowski, L., Karasek, D., McKenzie-Sampson, S., Oltman, S. P., Rand, L., Shannon, M. T., Washington, T. E., Woolridge, T., Rogers, E. E., & Pantell, M. S. (2022). (Vols. 4, Issues 2). 10.1016/j.ajogmf.2021.100546AbstractBackground: Birthing people of color are more likely to deliver low birthweight and preterm infants, populations at significant risk of morbidity and mortality. Birthing people of color are also at higher risk for mental health conditions and emergency mental healthcare utilization postpartum. Although this group has been identified as high risk in these contexts, it is not known whether racial and ethnic disparities exist in mental healthcare utilization among birthing people who have delivered preterm. Objective: We sought to determine if racial and ethnic disparities exist in postpartum mental healthcare-associated emergency department visits or hospitalizations for birthing people with preterm infants in a large and diverse population. Study design: This population-based historic cohort study used a sample of Californian live-born infants born between 2011 and 2017 with linked birth certificates and emergency department visit and hospital admission records from the California Statewide Health Planning and Development database. The sample was restricted to preterm infants (Residential particulate matter, proximity to major roads, traffic density and traffic volume as risk factors for preterm birth in California
AbstractCostello, J. M., Steurer, M. A., Baer, R. J., Witte, J. S., & Jelliffe-Pawlowski, L. (2022). (Vols. 36, Issue 1, pp. 70-79). 10.1111/ppe.12820AbstractBackground: While pollution from vehicle sources is an established risk factor for preterm birth, it is unclear whether distance of residence to the nearest major road or related measures like major road density represent useful measures for characterising risk. Objective: To determine whether major road proximity measures (including distance to major road, major road density and traffic volume) are more useful risk factors for preterm birth than other established vehicle-related measures (including particulate matterRisk of early birth by body mass index in a propensity score-matched sample : A retrospective cohort study
AbstractBaer, R. J., Chambers, B. D., Coleman-Phox, K., Flowers, E., Fuchs, J. D., Oltman, S. P., Scott, K. A., Ryckman, K. K., Rand, L., & Jelliffe-Pawlowski, L. (2022). (Vols. 129, Issues 10, pp. 1704-1711). 10.1111/1471-0528.17120AbstractObjective: Evaluate the risk of preterm ( -
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