Since the outset of the field decades ago, neonatology has been criticized for advancing survival rates at the cost of comorbid illness and quality of life. The work of Walters et al published in this issue of Pediatrics shows that those fears may have been misplaced.1 This study describes that compared with term-born controls, surviving preterm-born participants were less likely to have significant cardiovascular events despite having a higher risk for hypertension and similar risk of diabetes, prediabetes, and dyslipidemia. The 2 groups also had similar self-reported general health ratings and functional abilities in middle age.1 

The authors are to be commended for bringing data to bear in understanding the long-term health implications of preterm birth on infants in the post-steroid era of neonatal medicine. These positive findings are surprising given the heightened risk for later-life morbidity described in other large, population-based cohort studies of adults born preterm. The high and stable rates of early morbidities in, for example, bronchopulmonary dysplasia,2 retinopathy of prematurity,3 and neurosensory impairment4 over the past decades reinforce the notion of developmental vulnerability imparted by preterm birth. Perhaps these unexpectedly positive results stem from the relatively mild degree of prematurity in the study cohort. Regardless, we must interpret them in the context of accumulating evidence from developmental biology, epigenetics, and epidemiology that supports the significant role of preterm birth and associated morbidity on life course health development.5 

This paper illustrates several of the methodological challenges of conducting longitudinal follow-up that threaten study validity. Participant attrition and censoring due to mortality pose significant challenges to interpreting these results. It is widely understood that people electing to participate in longitudinal studies differ in many ways from those lost to follow-up,6 often on socioeconomic factors7 inextricably linked with health outcomes. Many such characteristics vary with time, often because of prematurity-related morbidity. Preterm birth itself is associated with lower annual income, lower upward mobility, and higher downward mobility in adulthood compared with term-born peers.8 That participants and nonparticipants in this study share a similar profile on a limited list of baseline factors tells us little about how the groups compare on key health-related social drivers over the span of 50 years.

The role of mortality is of particular concern in longitudinal studies following cohorts into adulthood. Individuals with poorer health have higher mortality risk at any given time, a risk that increases with advancing age. In this cohort, the survival advantage of the term-born control group abated after infancy, with a higher all-cause mortality rate compared with that of the group born preterm. Survivors in either group are definitionally healthier than those lost due to nonsurvival. This effect may be amplified among those born preterm because their health may be monitored more closely by caregivers in childhood and by themselves as adults. Censoring due to mortality introduces bias that makes drawing meaningful conclusions on health differences between the 2 groups of survivors difficult.

The use of a composite outcome of cardiovascular events, risk factors, and death poses additional challenges. Investigators frequently choose composite outcomes of death/morbidity due to the competing risks of mortality and nonterminal morbidities such as neurodevelopmental impairment in preterm populations. The outcomes for this study are not mutually exclusive but rather occur in a semicompeting paradigm in which an individual can experience either, both, or neither outcome. When aged 50 years, a participant has 4 possible outcomes: alive and morbidity-free, alive and experiencing 1 or more cardiovascular morbidities, dead from a cardiovascular disorder, or dead from an unrelated disease (eg, cancer). Failure to account for these multiple outcomes in a jointly modeled composite variable can lead to inaccurate risk estimates.9 Applying advanced methods to address the effects of semicompeting risks in longitudinal cohort studies will help answer important questions about health outcomes for infants born preterm.

The fatalistic premise that gestational age alone determines future health risk is challenged by the breadth of outcomes observed among surviving preterm infants. In a recent review, we outline the role of neonatal multimorbidity experienced by preterm infants as both reflective of and contributing to underlying vulnerability to age-related health and developmental problems over time.10 Although connections between neonatal and adult multimorbidity and their impact on functional capacity are only partly defined, they may play an important role in discriminating those at greatest risk. The tenets of the life course health development framework further underscore the importance of early life experiences and the role of complex biological and environmental systems in determining health.5 Understanding the multilevel contextual influences on health and development and the interconnections between preterm birth and multimorbid conditions across the life span requires significant investments in population-level data collection; theory-based, hypothesis-driven research questions; and methodological strategies designed for analyzing complex systems.

Dr Litt drafted the initial manuscript and critically reviewed and revised the final manuscript. Dr Tiemeier co-wrote and critically reviewed and revised the manuscript for important intellectual content. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

CONFLICT OF INTEREST DISCLOSURES: Drs Litt and Tiemeier have no conflicts to disclose.

FUNDING: The authors have no external sources of funding to disclose.

COMPANION PAPER: A companion to this article can be found online at www.pediatrics.org/cgi/doi/10.1542/peds.2024-066929.

1
Walters
AGB
,
Gamble
GD
,
Crowther
CA
. al.
Health outcomes 50 years after preterm birth in participants of a trial of antenatal betamethasone
.
Pediatrics.
2025
;
155
(
1
):
e2024066929
. doi: 10.1542/peds.2024-066929
2
Moreira
A
,
Noronha
M
,
Joy
J
, et al
.
Rates of bronchopulmonary dysplasia in very low birth weight neonates: a systematic review and meta-analysis
.
Respir Res.
2024
;
25
(
1
):
219
. PubMed doi: 10.1186/s12931-024-02850-x
3
García
H
,
Villasis-Keever
MA
,
Zavala-Vargas
G
,
Bravo-Ortiz
JC
,
Pérez-Méndez
A
,
Escamilla-Núñez
A
.
Global prevalence and severity of retinopathy of prematurity over the last four decades (1985–2021): a systematic review and meta-analysis
.
Arch Med Res.
2024
;
55
(
2
):
102967
. PubMed doi: 10.1016/j.arcmed.2024.102967
4
Kaempf
JW
,
Guillen
U
,
Litt
JS
,
Zupancic
JAF
,
Kirpalani
H
.
Change in neurodevelopmental outcomes for extremely premature infants over time: a systematic review and meta-analysis
.
Arch Dis Child Fetal Neonatal Ed.
2023
;
108
(
5
):
458
463
. PubMed doi: 10.1136/archdischild-2022-324457
5
Litt
JS
,
Halfon
N
,
Msall
ME
,
Russ
SA
,
Hintz
SR
.
Ensuring optimal outcomes for preterm infants after NICU discharge: a life course health development approach to high-risk infant follow-up
.
Children (Basel).
2024
;
11
(
2
):
146
. PubMed doi: 10.3390/children11020146
6
Marques
SCS
,
Doetsch
J
,
Abate
G
, et al
;
RECAP Preterm-WP6 QS Work Group. Understanding participation in European cohort studies of preterm children: the views of parents, healthcare professionals and researchers
.
BMC Med Res Methodol.
2021
;
21
(
1
):
19
. PubMed doi: 10.1186/s12874-020-01206-5
7
Galea
S
,
Tracy
M
.
Participation rates in epidemiologic studies
.
Ann Epidemiol.
2007
;
17
(
9
):
643
653
. PubMed doi: 10.1016/j.annepidem.2007.03.013
8
Ahmed
AM
,
Pullenayegum
E
,
McDonald
SD
, et al
.
Preterm birth, family income, and intergenerational income mobility
.
JAMA Netw Open.
2024
;
7
(
6
):
e2415921
. PubMed doi: 10.1001/jamanetworkopen.2024.15921
9
Haneuse
S
,
Lee
KH
.
Semi-competing risks data analysis: accounting for death as a competing risk when the outcome of interest is nonterminal
.
Circ Cardiovasc Qual Outcomes.
2016
;
9
(
3
):
322
331
. PubMed doi: 10.1161/CIRCOUTCOMES.115.001841
10
Litt
JS
,
Belfort
MB
,
Everson
TM
,
Haneuse
S
,
Tiemeier
H
.
Neonatal multimorbidity and the phenotype of premature aging in preterm infants.
Pediatr Res.
Published online October 25,
2024
. doi: 10.1038/s41390-024-03617-2