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

Maternal, infant, and environmental risk factors for sudden unexpected infant deaths: results from a large, administrative cohort

Bandoli, G., Baer, R. J., Owen, M., Kiernan, E., Jelliffe-Pawlowski, L., Kingsmore, S., & Chambers, C. D. (2022). Journal of Maternal-Fetal and Neonatal Medicine, 35(25), 8998-9005. 10.1080/14767058.2021.2008899
Abstract
Abstract
Objectives: 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

Anand, 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. L., & Chrischilles, E. A. (2022). Journal of Maternal-Fetal and Neonatal Medicine, 35(25), 6751-6758. 10.1080/14767058.2021.1922378
Abstract
Abstract
Background: 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 (p <.001–based on Bonferroni correction for multiple testing) higher compared to newborns of mothers without cancer history: C3-DC (mean difference (MD) = 0.006), C5-DC (MD = 0.009), C8:1 (MD = 0.008), C14 (MD = 0.010), and C16:1 (MD = 0.011), whereas citrulline levels were significantly lower (MD = −0.581) among newborns born to mothers with history of leukemia or lymphoma compared to newborns of mothers without a history of cancer. Conclusion: The varied metabolite levels suggest history of leukemia or lymphoma has metabolic impact on newborn offspring, which may have implications for future metabolic consequences such as necrotizing enterocolitis and urea cycle enzyme disorders in children born to mothers with a history of leukemia or lymphoma.

Racial Disparities in Cesarean Delivery Rates: Do Hospital-Level Factors Matter?

Nicole Teal, E., Baer, R. J., Jelliffe-Pawlowski, L., & Mengesha, B. (2022). American Journal of Perinatology, 41(4), 375-382. 10.1055/s-0043-1776346
Abstract
Abstract
Objective 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

Karvonen, 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). American Journal of Obstetrics and Gynecology MFM, 4(2). 10.1016/j.ajogmf.2021.100546
Abstract
Abstract
Background: 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 (<37 weeks’ gestation). Self-reported race and ethnicity groups included Hispanic, non-Hispanic Black, non-Hispanic Asian, non-Hispanic White, and non-Hispanic others. Mental health diagnoses were identified from the International Classification of Diseases Ninth and Tenth revision codes recorded in emergency department and hospital discharge records. Logistic regression analysis was used to estimate the association between mental health-related emergency department visits and rehospitalizations by race or ethnicity compared with non-Hispanic White birthing people and controlling for the following characteristics and health condition covariates: age, parity, previous preterm birth, body mass index, smoking, alcohol use, hypertension, diabetes, previous mental health diagnosis, and prenatal care. Results: Of 204,539 birthing people who delivered preterm infants in California, 1982 visited the emergency department and 836 were hospitalized in the first year after preterm birth for a mental health-related illness. Black birthing people were more likely to have a mental health-related emergency department visit and hospitalization (risk ratio, 1.8; 95% confidence interval, 1.5–2.0 and risk ratio, 1.9; 95% confidence interval, 1.5–2.3, respectively) within the first postpartum year than White birthing people. Hispanic and Asian birthing people were less likely to have mental health-related emergency department visits (adjusted risk ratio, 0.7; 95% confidence interval, 0.7–0.8 and adjusted risk ratio, 0.2; 95% confidence interval, 0.2–0.3, respectively) and hospitalizations (adjusted risk ratio, 0.6; 95% confidence interval, 0.5–0.7 and adjusted risk ratio, 0.2; 95% confidence interval, 0.1–0.3, respectively). When controlling for birthing people with a previous mental health diagnosis and those without, the disparities remained the same. Conclusion: Racial and ethnic disparities exist in emergency mental healthcare escalation among birthing people who have delivered preterm infants. Our findings highlight a need for further investigation into disparate mental health conditions, exacerbations, access to care, and targeted hospital and legislative policies to prevent emergency mental healthcare escalation and reduce disparities.

Residential particulate matter, proximity to major roads, traffic density and traffic volume as risk factors for preterm birth in California

Costello, J. M., Steurer, M. A., Baer, R. J., Witte, J. S., & Jelliffe-Pawlowski, L. L. (2022). Paediatric and Perinatal Epidemiology, 36(1), 70-79. 10.1111/ppe.12820
Abstract
Abstract
Background: 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 matter <2.5 μm in diameter (PM2.5) and diesel particulate matter (diesel PM)). Methods: This retrospective cohort study included 2.7 million births across the state of California from 2011–2017; each address at delivery was geocoded. Geocoding was used to calculate distance to the nearest major road, major road density within a 500 m radius and major road density weighted by truck volume. We measured associations with preterm birth using risk ratios adjusted for target demographic, clinical, socioeconomic and environmental covariates (aRRs). We compared these to the associations between preterm birth and PM2.5 and diesel PM by census tract of residence. Results: Findings showed that whereas higher mean levels of PM2.5 and diesel PM by census tract were associated with a higher risk of preterm birth, living closer to roads or living in higher traffic density areas was not associated with higher risk. Residence in a census tract with a mean PM2.5 in the top quartile compared with the lowest quartile was associated with the highest observed risk of preterm birth (aRR 1.04, 95% CI 1.04, 1.05). Conclusions: Over a large geographical region with a diverse population, PM2.5 and diesel PM were associated with preterm birth, while measures of distance to major road were not, suggesting that these distance measures do not serve as a proxy for measures of particulate matter in the context of preterm birth.

Risk of early birth by body mass index in a propensity score-matched sample: A retrospective cohort study

Baer, 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. L. (2022). BJOG: An International Journal of Obstetrics and Gynaecology, 129(10), 1704-1711. 10.1111/1471-0528.17120
Abstract
Abstract
Objective: Evaluate the risk of preterm (<37 weeks) or early term birth (37 or 38 weeks) by body mass index (BMI) in a propensity score-matched sample. Design: Retrospective cohort analysis. Setting: California, USA. Population: Singleton live births from 2011–2017. Methods: Propensity scores were calculated for BMI groups using maternal factors. A referent sample of women with a BMI between 18.5 and <25.0 kg/m2 was selected using exact propensity score matching. Risk ratios for preterm and early term birth were calculated. Main outcome measures: Early birth. Results: Women with a BMI <18.5 kg/m2 were at elevated risk of birth of 28–31 weeks (relative risk [RR] 1.2, 95% CI 1.1–1.4), 32–36 weeks (RR 1.3, 95% CI 1.2–1.3), and 37 or 38 weeks (RR 1.1, 95% CI 1.1–1.1). Women with BMI ≥25.0 kg/m2 were at 1.2–1.4-times higher risk of a birth <28 weeks and were at reduced risk of a birth between 32 and 36 weeks (RR 0.8–0.9) and birth during the 37th or 38th week (RR 0.9). Conclusion: Women with a BMI <18.5 kg/m2 were at elevated risk of a preterm or early term birth. Women with BMI ≥25.0 kg/m2 were at elevated risk of a birth <28 weeks. Propensity score-matched women with BMI ≥30.0 kg/m2 were at decreased risk of a spontaneous preterm birth with intact membranes between 32 and 36 weeks, supporting the complexity of BMI as a risk factor for preterm birth. Tweetable abstract: Propensity score-matched women with BMI ≥30 kg/m2 were at decreased risk of a late spontaneous preterm birth.

Risk Factors for Dual Burden of Severe Maternal Morbidity and Preterm Birth by Insurance Type in California

El Ayadi, A. M., Baer, R. J., Gay, C., Lee, H. C., Obedin-Maliver, J., Jelliffe-Pawlowski, L., & Lyndon, A. (2022). Maternal and Child Health Journal, 26(3), 601-613. 10.1007/s10995-021-03313-1
Abstract
Abstract
Objectives: Among childbearing women, insurance coverage determines degree of access to preventive and emergency care for maternal and infant health. Maternal-infant dyads with dual burden of severe maternal morbidity and preterm birth experience high physical and psychological morbidity, and the risk of dual burden varies by insurance type. We examined whether sociodemographic and perinatal risk factors of dual burden differed by insurance type. Methods: We estimated relative risks of dual burden by maternal sociodemographic and perinatal characteristics in the 2007–2012 California birth cohort dataset stratified by insurance type and compared effects across insurance types using Wald Z-statistics. Results: Dual burden ranged from 0.36% of privately insured births to 0.41% of uninsured births. Obstetric comorbidities, multiple gestation, parity, and birth mode conferred the largest risks across all insurance types, but effect magnitude differed. The adjusted relative risk of dual burden associated with preeclampsia superimposed on preexisting hypertension ranged from 9.1 (95% CI 7.6–10.9) for privately insured to 15.9 (95% CI 9.1–27.6) among uninsured. The adjusted relative risk of dual burden associated with cesarean birth ranged from 3.1 (95% CI 2.7–3.5) for women with Medi-Cal to 5.4 (95% CI 3.5–8.2) for women with other insurance among primiparas, and 7.0 (95% CI 6.0–8.3) to 19.4 (95% CI 10.3–36.3), respectively, among multiparas. Conclusions: Risk factors of dual burden differed by insurance type across sociodemographic and perinatal factors, suggesting that care quality may differ by insurance type. Attention to peripartum care access and care quality provided by insurance type is needed to improve maternal and neonatal health.

Risk factors for neonatal encephalopathy in late preterm and term singleton births in a large California birth cohort

Bandoli, G., Suttner, D., Kiernan, E., Baer, R. J., Jelliffe-Pawlowski, L., & Chambers, C. D. (2022). Journal of Perinatology, 42(3), 341-347. 10.1038/s41372-021-01242-z
Abstract
Abstract
Objective: The objective was to investigate maternal and pregnancy characteristics associated with neonatal encephalopathy (NE). Study design: We queried an administrative birth cohort from California between 2011 and 2017 to determine the association between each factor and NE with and without hypothermia treatment. Results: From 3 million infants born at 35 or more weeks of gestation, 6,857 cases of NE were identified (2.3 per 1000 births), 888 (13%) received therapeutic hypothermia. Risk factors for NE were stronger among cases receiving hypothermia therapy. Substance-related diagnosis, preexisting diabetes, preeclampsia, and any maternal infection were associated with a two-fold increase in risk. Maternal overweight/obesity, nulliparity, advanced maternal age, depression, gestational diabetes or hypertension, and short or long gestations also predicted NE. Young maternal age, Asian race and Hispanic ethnicity, and cannabis-related diagnosis lowered risk of NE. Conclusions: By disseminating these results, we encourage further interrogation of these perinatal factors.

The risk of preterm birth among women with a history of leukemia or lymphoma

Anand, S. T., Chrischilles, E. A., Baer, R. J., Charlton, M. E., Breheny, P. J., Terry, W. W., McLemore, M. R., Karasek, D. A., Jelliffe-Pawlowski, L. L., & Ryckman, K. K. (2022). Journal of Maternal-Fetal and Neonatal Medicine, 35(25), 6115-6123. 10.1080/14767058.2021.1907332
Abstract
Abstract
Objective: Leukemia and lymphoma are top cancers affecting children, adolescents and young adults with high five-year survival rates. Late effects of these cancers are a concern in reproductive-age patients, including pregnancy outcomes such as preterm birth. Our study aimed to evaluate whether diagnosis of leukemia or lymphoma prior to pregnancy was associated with preterm birth (<37 weeks gestation). Methods: We conducted a cross-sectional study using a population-based dataset from California with linked birth certificates to hospital discharge records and an Iowa-based sample that linked birth certificates to Surveillance, Epidemiology, and End Results (SEER) cancer registry data. Preterm birth was defined using birth certificates. We ascertained history of leukemia and lymphoma using discharge diagnosis data in California and SEER registry in Iowa. Results: Prevalence of preterm birth in California and Iowa was 14.6% and 12.0%, respectively, in women with a history of leukemia/lymphoma compared to 7.8% and 8.2%, respectively, in women without a cancer history. After adjusting for maternal age, race, education, smoking, and plurality, Women with history of leukemia/lymphoma were at an increased risk of having a preterm birth in California (odds ratio (OR) 1.89; 95% confidence interval (CI) 1.56–2.28) and Iowa (OR 1.61; 95% CI 1.10–2.37) compared to those with no cancer history. Conclusion: In both California and Iowa, women with a history of leukemia or lymphoma were at increased risk for preterm birth. This suggests the importance of counseling with a history of leukemia/lymphoma prior to pregnancy and increased monitoring of women during pregnancy.

Targeted newborn metabolomics: prediction of gestational age from cord blood

Jasper, E. A., Oltman, S. P., Rogers, E. E., Dagle, J. M., Murray, J. C., Kamya, M., Kakuru, A., Kajubi, R., Ochieng, T., Adrama, H., Okitwi, M., Olwoch, P., Jagannathan, P., Clark, T. D., Dorsey, G., Ruel, T., Jelliffe-Pawlowski, L. L., & Ryckman, K. K. (2022). Journal of Perinatology, 42(2), 181-186. 10.1038/s41372-021-01253-w
Abstract
Abstract
Objective: Our study sought to determine whether metabolites from a retrospective collection of banked cord blood specimens could accurately estimate gestational age and to validate these findings in cord blood samples from Busia, Uganda. Study Design: Forty-seven metabolites were measured by tandem mass spectrometry or enzymatic assays from 942 banked cord blood samples. Multiple linear regression was performed, and the best model was used to predict gestational age, in weeks, for 150 newborns from Busia, Uganda. Results: The model including metabolites and birthweight, predicted the gestational ages within 2 weeks for 76.7% of the Ugandan cohort. Importantly, this model estimated the prevalence of preterm birth <34 weeks closer to the actual prevalence (4.67% and 4.00%, respectively) than a model with only birthweight which overestimates the prevalence by 283%. Conclusion: Models that include cord blood metabolites and birth weight appear to offer improvement in gestational age estimation over birth weight alone.