The distribution of clinical phenotypes of preterm birth syndrome implications for prevention

Fernando C. Barros, Aris T. Papageorghiou, Cesar G. Victora, Julia A. Noble, Ruyan Pang, Jay Iams, Leila Cheikh Ismail, Robert L. Goldenberg, Ann Lambert, Michael S. Kramer, Maria Carvalho, Agustin Conde-Agudelo, Yasmin A. Jaffer, Enrico Bertino, Michael G. Gravett, Doug G. Altman, Eric O. Ohuma, Manorama Purwar, Ihunnaya O. Frederick, Zulfiqar A. BhuttaStephen H. Kennedy, José Villar, M. Katz, M. K. Bhan, C. Garza, S. Zaidi, A. Langer, P. M. Rothwell, D. Weatherall, F. Burton, W. C. Chumlea, P. Lumbiganon, J. Rivera, S. Kennedy, M. Shorten, L. Hoch, H. E. Knight, C. Cosgrove, I. Blakey, F. Roseman, N. Kunnawar, S. H. Gu, J. H. Wang, M. Domingues, P. Gilli, L. Juodvirsiene, N. Musee, H. Al-Jabri, S. Waller, D. Muninzwa, D. Yellappan, A. Carter, D. Reade, R. Miller, L. Salomon, A. Leston, A. Mitidieri, F. Al-Aamri, W. Paulsene, J. Sande, W. K.S. Al-Zadjali, C. Batiuk, S. Bornemeier, M. Dighe, P. Gaglioti, N. Jacinta, S. Jaiswal, K. Oas, M. Oberto, E. Olearo, M. G. Owende, J. Shah, S. Sohoni, T. Todros, M. Venkataraman, S. Vinayak, L. Wang, D. Wilson, Q. Q. Wu, P. Chamberlain, D. Danelon, I. Sarris, J. Dhami, C. Ioannou, C. L. Knight, R. Napolitano, S. Wanyonyi, C. Pace, V. Mkrtychyan, M. Alija, J. M. Jimenez-Bustos, J. Kizidio, F. Puglia, H. Liu, S. Lloyd, D. Mota, R. Ochieng, C. Rossi, M. Sanchez Luna, Y. J. Shen, D. A. Rocco, E. Albernaz, M. Batra, B. A. Bhat, P. Di Nicola, F. Giuliani, I. Rovelli, K. McCormick, V. Paul, V. Rajan, A. Wilkinson, A. Varalda, B. Eskenazi, L. A. Corra, H. Dolk, J. Golding, A. Matijasevich, T. De Wet, J. J. Zhang, A. Bradman, D. Finkton, O. Burnham, F. Farhi, S. Fonseca, I. K. Sclowitz, M. F. Da Silveira, R. Y. Pang, Y. P. He, Y. Pan, M. H. Wu, Y. Yuan, Y. Zhang, A. Choudhary, S. Choudhary, S. Deshmukh, D. Dongaonkar, M. Ketkar, V. Khedikar, C. Mahorkar, I. Mulik, K. Saboo, C. Shembekar, A. Singh, V. Taori, K. Tayade, A. Somani, M. Frigerio, G. Gilli, M. Giolito, L. Occhi, F. Signorile, M. Carvalho, W. Stones, C. Kisiangani, J. Al-Abri, J. Al-Abduwani, F. M. Al-Habsi, H. Al-Lawatiya, B. Al-Rashidiya, F. R. Juangco, H. F. Andersen, S. E. Abbott, A. A. Carter, H. Algren, T. K. Sorensen, D. Enquobahrie

Research output: Contribution to journalArticlepeer-review

116 Citations (Scopus)


Importance:Preterm birth has been difficult to study and prevent because of its complex syndromic nature.OBJECTIVE To identify phenotypes of preterm delivery syndrome in the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project.Design, Setting, and Participants:A population-based, multiethnic, cross-sectional study conducted at 8 geographically demarcated sites in Brazil, China, India, Italy, Kenya, Oman, the United Kingdom, and the United States. A total of 60 058 births over a 12-month fixed period between April 27, 2009, and March 2, 2014. Of these, 53 871 had an ultrasonography estimate of gestational age, among which 5828 were preterm births (10.8%). Pregnancies were prospectively studied using a standardized data collection and online data management system. Newborns had anthropometric and clinical examinations using standardized methods and identical equipment and were followed up until hospital discharge.Main Outcomes and Measures: The main study outcomeswere clusters of preterm phenotypes and for each cluster, we analyzed signs of presentation at hospital admission, admission rates for neonatal intensive care for 7 days or more, and neonatal mortality rates.Results: Twelve preterm birth clusters were identified using our conceptual framework. Eleven consisted of combinations of conditions known to be associated with preterm birth, 10 of which were dominated by a single condition. However, themost common single cluster (30.0%of the total preterm cases; n = 1747) was not associated with any severe maternal, fetal, or placental condition that was clinically detectable based on the information available; within this cluster, many cases were caregiver initiated. Only 22%(n = 1284) of all the preterm births occurred spontaneously without any of these severe conditions. Maternal presentation on hospital admission, newborn anthropometry, and risk for death before hospital discharge or admission for 7 or more days to a neonatal intensive care unit, none of which were used to construct the clusters, also differed according to the identified phenotypes. The prevalence of preterm birth ranged from 8.2%in Muscat, Oman, and Oxford, England, to 16.6%in Seattle,Washington.Conclusions and Relevance: We identified 12 preterm birth phenotypes associated with different patterns of neonatal outcomes. In 22%of all preterm births, parturition started spontaneously and was not associated with any of the phenotypic conditions considered.We believe these results contribute to an improved understanding of this complex syndrome and provide an empirical basis to focus research on a more homogenous set of phenotypes.

Original languageEnglish
Pages (from-to)220-229
Number of pages10
JournalJAMA Pediatrics
Issue number3
Publication statusPublished - 1 Mar 2015


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