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Villar, Jose, Restrepo-Méndez, María C., McGready, Rose, Barros, Fernando C., Victora, Cesar G., Munim, Shama, Papageorghiou, Aris T., Ochieng, Roseline, Craik, Rachel, Barsosio, Hellen, Berkley, James A., Carvalho, Maria, Fernandes, Michelle, Cheikh Ismail, Leila, Lambert, Ann, Norris, Shane A., Ohuma, Eric O., Stein, Alan, Tshivuila-Matala, Chrystelle O. O., Zondervan, Krina T., Winsey, Adele, Nosten, Francois, Uauy, Ricardo, Bhutta, Zulfiqar A. and Kennedy, Stephen H. (2021) 'Association Between Preterm-Birth Phenotypes and Differential Morbidity, Growth, and Neurodevelopment at Age 2 Years'. JAMA Pediatrics.
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Abstract
Importance The etiologic complexities of preterm birth remain inadequately understood, which may impede the development of better preventative and treatment measures.
Objective To examine the association between specific preterm-birth phenotypes and clinical, growth, and neurodevelopmental differences among preterm newborns compared with term newborns up to age 2 years.
Design, Setting, and Participants The INTERBIO-21st study included a cohort of preterm and term newborn singletons enrolled between March 2012 and June 2018 from maternity hospitals in 6 countries worldwide who were followed up from birth to age 2 years. All pregnancies were dated by ultrasonography. Data were analyzed from November 2019 to October 2020.
Exposures/Interventions Preterm-birth phenotypes.
Main Outcomes and Measures Infant size, health, nutrition, and World Health Organization motor development milestones assessed at ages 1 and 2 years; neurodevelopment evaluated at age 2 years using the INTERGROWTH-21st Neurodevelopment Assessment (INTER-NDA) tool.
Results A total of 6529 infants (3312 boys [50.7%]) were included in the analysis. Of those, 1381 were preterm births (mean [SD] gestational age at birth, 34.4 [0.1] weeks; 5148 were term births (mean [SD] gestational age at birth, 39.4 [0] weeks). Among 1381 preterm newborns, 8 phenotypes were identified: no main maternal, fetal, or placental condition detected (485 infants [35.1%]); infections (289 infants [20.9%]); preeclampsia (162 infants [11.7%]); fetal distress (131 infants [9.5%]); intrauterine growth restriction (110 infants [8.0%]); severe maternal disease (85 infants [6.2%]); bleeding (71 infants [5.1%]); and congenital anomaly (48 infants [3.5%]). For all phenotypes, a previous preterm birth was a risk factor for recurrence. Each phenotype displayed differences in neonatal morbidity and infant outcomes. For example, infants with the no main condition detected phenotype had low neonatal morbidity but increased morbidity and hospitalization incidence at age 1 year (odds ratio [OR], 2.2; 95% CI, 1.8-2.7). Compared with term newborns, the highest risk of scoring lower than the 10th centile of INTER-NDA normative values was observed in the fine motor development domain among newborns with the fetal distress (OR, 10.6; 95% CI, 5.1-22.2) phenotype.
Conclusions and Relevance Results of this study suggest that phenotypic classification may provide a better understanding of the etiologic factors and mechanisms associated with preterm birth than continuing to consider it an exclusively time-based entity.
| Item Type: | Article |
|---|---|
| Subjects: | WS Pediatrics > Diseases of Children and Adolescents > General Diseases > WS 200 General works WS Pediatrics > By Age Groups > WS 410 Premature infants. Diseases of premature infants WS Pediatrics > By Age Groups > WS 430 Infancy |
| Faculty: Department: | Clinical Sciences & International Health > International Public Health Department |
| Digital Object Identifer (DOI): | https://doi.org/10.1001/jamapediatrics.2020.6087 |
| Depositing User: | Stacy Murtagh |
| Date Deposited: | 15 Apr 2021 15:21 |
| Last Modified: | 15 Apr 2021 15:22 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/17600 |
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