Bronchopulmonary dysplasia (BPD) is the most common morbidity of preterm birth, affecting up to 50,000 infants each year in the United States.1 Fine particulate matter (PM2.5) is a measure of air pollution and our team recently reported that among infants diagnosed with grade 1 BPD (≤2 L/min nasal cannula at 36 weeks postmenstrual age) and discharged from a Philadelphia hospital system, each 1 μg/m3 increment of PM2.5 was associated with 65% higher odds of medically attended acute respiratory illness in the first year after NICU discharge.2 The Environmental Protection Agency (EPA) recently lowered the level of the health-based standard of annual average PM2.5 exposure from 12 to 9 μg/m.3 While a concentration-response association has been identified of PM2.5 with mortality, chronic obstructive pulmonary disease, and asthma medication use in adults, the policy-relevant impact of reducing PM2.5 exposure among infants with BPD remains unknown.3–5
Using the same dataset as our prior study,2 we modeled the average marginal effects (AME) of decreasing annual mean PM2.5 exposure by 1 μg/m3 with medically attended acute respiratory illness (emergency department [ED] visits or inpatient admissions) in the first year after NICU discharge among infants with grade 1 BPD to simulate the adjusted rates of medically attended acute respiratory illness per 1 μg/m3 decrease in annual PM2.5 concentration.6 We used unadjusted and adjusted models for age at NICU discharge, year, sex, race/ethnicity, insurance status, and census tract neighborhood deprivation.7 We chose the material community deprivation index to quantify census tract neighborhood deprivation as it includes variables related to economic status, education, housing and environment, and insurance status while not including race or ethnicity.8 Secondary analyses evaluated ED visits and admissions separately. As insurance payor may influence ability to access care and type of care accessed, we performed a subgroup analysis of public versus privately insured infants. This research was approved by the Institutional Review Board of the Children’s Hospital of Philadelphia.
Table 1 displays characteristics of 127 infants with grade 1 BPD. Unadjusted and adjusted models demonstrated that a 1 μg/m3 reduction in PM2.5 could potentially lead to 11.0% (95% CI: 4.6, 17.3) and 9.6% (95% CI: 1.7, 17.5) decreases in medically attended acute respiratory illness, respectively (Figure 1). In the subgroup analysis, models demonstrated that a 1 μg/m3 reduction in PM2.5 was associated with a 9.6% (95% CI: −4.4, 23.5) and an 8.1% (95% CI: −6.2, 22.4) decrease in medically attended acute respiratory illness for publicly and privately insured infants, respectively.
Table 1.
Bivariate associations of characteristics with medically attended acute respiratory illness (ED visit or hospital admission) in the first year after NICU discharge among infants <32 weeks’ gestation with grade 1 BPDa
| Characteristic (n = 127) | No Medically Attended Acute Respiratory Illness (n=85) | Medically Attended Acute Respiratory Illness (n=42) | p-value |
|---|---|---|---|
|
| |||
| Gestational age (weeks), mean (SD) | 27 (2) | 27 (2) | 0.330 |
| Birth weight (grams), mean (SD)b | 857 (301) | 889 (334) | 0.590 |
| Discharge age (days), mean (SD) | 113 (49) | 121 (62) | 0.390 |
| Female sex, n (%) | 34 (40) | 15 (36) | 0.640 |
| Infant race, n (%) | 0.015 | ||
| Black | 33 (39) | 26 (62) | |
| White | 32 (38) | 6 (14) | |
| Other | 20 (24) | 10 (24) | |
| Hispanic ethnicity, n (%) | 9 (11) | 7 (17) | 0.333 |
| Public insurance, n (%) | 45 (53) | 29 (69) | 0.083 |
| Census tract deprivation quartile, n (%)c | 0.018 | ||
| 1 (Lowest) | 26 (31) | 3 (7) | |
| 2 | 17 (20) | 8 (19) | |
| 3 | 19 (22) | 16 (38) | |
| 4 (Highest) | 23 (27) | 15 (36) | |
| PM2.5 concentration (μg/m3), mean (SD)d | 8.74 (1.03) | 9.33 (1.02) | 0.003 |
Abbreviations: ED, emergency department; BPD, bronchopulmonary dysplasia; NICU, neonatal intensive care unit; SD, standard deviation; PM2.5, particulate matter <2.5μm in diameter
Two-way t-test used for continuous variables. Chi-square used for categorical variables.
BPD severity assessed at 36 weeks or hospital admission if hospital admission to CHOP occurred after 36 weeks post menstrual age using 2019 NRN criteria (Jensen et al. 2019).
Missing data: birth weight (n = 1).
Census tract-level Deprivation Index from 2018 (Brokamp et al. 2019).
Mean PM2.5 ambient concentrations in the year after NICU discharge.
Figure 1.

Adjusted average marginal effects (AME) of reducing particulate matter <2.5 μm in diameter (PM2.5) exposure by 1 μg/m3 with medically attended acute respiratory illness in the first year after neonatal intensive care unit (NICU) discharge among preterm infants with grade 1 bronchopulmonary dysplasia. Model was adjusted for age at NICU discharge, year, sex, race/ethnicity, insurance status and census tract neighbourhood deprivation. Per 1 μg/m3 decrease in PM2.5, there was a 9.6% (95% CI: 1.7% to 17.5%) decrease in medically attended acute respiratory illness, 5.6% (95% CI: 0.6% to 10.5%) decrease in emergency department visits and 3.7% (95% CI: −4.0% to 11.5%) decrease in inpatient admission.
Environmental policies, such as the Clean Air Act, have contributed to a substantial decrease in air pollution, specifically PM2.5, in the US over the past 20 years.9 Quantifying the health benefits of such policies is important to motivate ongoing environmental improvements. While the effect may seem small, it only represents potential impact in the first year after NICU discharge. It is possible that there may be an effect throughout childhood of life in this vulnerable population.
Our model used estimates from a single-center study in one US metropolitan area and thus the exact numbers of avoidable acute respiratory illnesses may differ if the model does not generalize to all settings. Nonetheless, even small reductions in PM2.5 concentrations may improve the health of hundreds of preterm infants with grade 1 BPD each year in the US.
Funding/Support:
All phases of this study were supported by a NIEHS Pilot Grant from the Philadelphia Regional Center for Children’s Environmental Health (P2CES033428), a T32 award from the NIH (T32HL160493), and a Marshall Klaus Award from the American Academy of Pediatrics Section on Neonatal Perinatal Medicine (SONPM).
Role of Funder/Sponsor (if any):
The NIH and AAP had no role in the design and conduct of the study.
Abbreviations:
- AME
average marginal effects
- BPD
bronchopulmonary dysplasia
- ED
emergency department
- EHR
electronic health record
- NICU
neonatal intensive care unit
- PM2.5
particulate matter < 2.5 μm in diameter
- SD
standard deviation
- WHO
World Health Organization
Footnotes
Competing Interests: None declared
References
- 1.Collaco JM, McGrath-Morrow SA. Respiratory Phenotypes for Preterm Infants, Children, and Adults: Bronchopulmonary Dysplasia and More. Ann Am Thorac Soc. 2018;15(5):530–538. doi: 10.1513/AnnalsATS.201709-756FR [DOI] [PubMed] [Google Scholar]
- 2.Nelin TD, Radack JK, Yang N, et al. Associations of PM 2.5 exposure with emergency department visits and readmissions among preterm infants with bronchopulmonary dysplasia. Pediatr Pulmonol. Published online July 3, 2024. doi: 10.1002/ppul.27164 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bo Y, Chang L yun, Guo C, et al. Reduced ambient PM2.5, better lung function, and decreased risk of chronic obstructive pulmonary disease. Environ Int. 2021;156:106706. doi: 10.1016/j.envint.2021.106706 [DOI] [PubMed] [Google Scholar]
- 4.Williams AM, Phaneuf DJ, Barrett MA, Su JG. Short-term impact of PM 2.5 on contemporaneous asthma medication use: Behavior and the value of pollution reductions. Proceedings of the National Academy of Sciences. 2019;116(12):5246–5253. doi: 10.1073/pnas.1805647115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Schwartz J, Laden F, Zanobetti A. The concentration-response relation between PM(2.5) and daily deaths. Environ Health Perspect. 2002;110(10):1025–1029. doi: 10.1289/ehp.021101025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Onukwugha E, Bergtold J, Jain R. A Primer on Marginal Effects—Part II: Health Services Research Applications. Pharmacoeconomics. 2015;33(2). doi: 10.1007/s40273-014-0224-0 [DOI] [PubMed] [Google Scholar]
- 7.Brokamp C, Beck AF, Goyal NK, Ryan P, Greenberg JM, Hall ES. Material community deprivation and hospital utilization during the first year of life: an urban population–based cohort study. Ann Epidemiol. 2019;30. doi: 10.1016/j.annepidem.2018.11.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Trinidad S, Brokamp C, Mor Huertas A, et al. Use Of Area-Based Socioeconomic Deprivation Indices: A Scoping Review And Qualitative Analysis. Health Aff. 2022;41(12):1804–1811. doi: 10.1377/hlthaff.2022.00482 [DOI] [PubMed] [Google Scholar]
- 9.United States Environmental Protection Agency. Particulate Matter (PM2.5) Trends. https://www.epa.gov/air-trends/particulate-matter-pm25-trends. [Google Scholar]
