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Stillbirths: Contribution of preterm birth and size-for-gestational age for 125.4 million total births from nationwide records in 13 countries, 2000-2020.
Okwaraji, Yemisrach B; Suárez-Idueta, Lorena; Ohuma, Eric O; Bradley, Ellen; Yargawa, Judith; Pingray, Veronica; Cormick, Gabriela; Gordon, Adrienne; Flenady, Vicki; Horváth-Puhó, Erzsébet; Sørensen, Henrik Toft; Sakkeus, Luule; Abuladze, Liili; Heidarzadeh, Mohammed; Khalili, Narjes; Yunis, Khalid A; Al Bizri, Ayah; Karalasingam, Shamala D; Jeganathan, Ravichandran; Barranco, Arturo; van Dijk, Aimée E; Broeders, Lisa; Alyafei, Fawzya; AlQubaisi, Mai; Razaz, Neda; Söderling, Jonas; Smith, Lucy K; Matthews, Ruth J; Wood, Rachael; Monteath, Kirsten; Pereyra, Isabel; Pravia, Gabriella; Lisonkova, Sarka; Wen, Qi; Lawn, Joy E; Blencowe, Hannah.
Affiliation
  • Okwaraji YB; Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
  • Suárez-Idueta L; Mexican Society of Public Health, Mexico City, Mexico.
  • Ohuma EO; Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
  • Bradley E; Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
  • Yargawa J; Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
  • Pingray V; Institute for Clinical Effectiveness and Health Policy, Ciudad Autónoma de Buenos Aires, Argentina.
  • Cormick G; Institute for Clinical Effectiveness and Health Policy, Ciudad Autónoma de Buenos Aires, Argentina.
  • Gordon A; Centro de Investigaciones en Epidemiología y Salud Pública, National Scientific and Technical Research Council (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
  • Flenady V; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
  • Horváth-Puhó E; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
  • Sørensen HT; Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus N, Denmark.
  • Sakkeus L; Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus N, Denmark.
  • Abuladze L; School of Governance, Law and Society, Estonian Institute for Population Studies, Tallinn University, Tallinn, Estonia.
  • Heidarzadeh M; School of Governance, Law and Society, Estonian Institute for Population Studies, Tallinn University, Tallinn, Estonia.
  • Khalili N; Population Research Unit, Väestöliitto, Finland.
  • Yunis KA; Paediatrics Department, Alzahra Hospital Iran, Tabriz, Iran.
  • Al Bizri A; Department of Community and Family Medicine, Preventive Medicine and Public Health Research Centre, Psychosocial Health Research Institute, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Karalasingam SD; Division of Neonatology, Department of Pediatrics and Adolescent Medicine, American University of Beirut, Beirut, Lebanon.
  • Jeganathan R; Division of Neonatology, Department of Pediatrics and Adolescent Medicine, American University of Beirut, Beirut, Lebanon.
  • Barranco A; Department of Obstetrics and Gynaecology, Faculty of Medicine, University of Cyberjaya, Cyberjaya, Malaysia.
  • van Dijk AE; Department of Obstetrics & Gynaecology, Malaysia Monash Medical School, Johor Bahru, Malaysia.
  • Broeders L; Directorate of Health Information, Ministry of Health, Mexico City, Mexico.
  • Alyafei F; Perined, Utrecht, The Netherlands.
  • AlQubaisi M; Perined, Utrecht, The Netherlands.
  • Razaz N; Department of Paediatrics, Hamad General Hospital, Doha, Qatar.
  • Söderling J; NICU, Women Wellness and Research Centre, Doha, Qatar.
  • Smith LK; Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden.
  • Matthews RJ; Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden.
  • Wood R; Department of Population Health Sciences, College of Life Sciences, University of Leicester, Leicester, UK.
  • Monteath K; Department of Population Health Sciences, College of Life Sciences, University of Leicester, Leicester, UK.
  • Pereyra I; Public Health Scotland, Edinburgh, UK.
  • Pravia G; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Lisonkova S; Pregnancy, Birth and Child Health Team, Public Health Scotland, Edinburgh, UK.
  • Wen Q; Faculty of Health Sciences, Catholic University of Maule, Curicó, Chile.
  • Lawn JE; Department of Wellness and Health, Catholic University of Uruguay, Montevideo, Uruguay.
  • Blencowe H; Department of Obstetrics & Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada.
BJOG ; 2023 Nov 29.
Article de En | MEDLINE | ID: mdl-38018284
OBJECTIVE: To examine the contribution of preterm birth and size-for-gestational age in stillbirths using six 'newborn types'. DESIGN: Population-based multi-country analyses. SETTING: Births collected through routine data systems in 13 countries. SAMPLE: 125 419 255 total births from 22+0 to 44+6 weeks' gestation identified from 2000 to 2020. METHODS: We included 635 107 stillbirths from 22+0 weeks' gestation from 13 countries. We classified all births, including stillbirths, into six 'newborn types' based on gestational age information (preterm, PT, <37+0 weeks versus term, T, ≥37+0 weeks) and size-for-gestational age defined as small (SGA, <10th centile), appropriate (AGA, 10th-90th centiles) or large (LGA, >90th centile) for gestational age, according to the international newborn size for gestational age and sex INTERGROWTH-21st standards. MAIN OUTCOME MEASURES: Distribution of stillbirths, stillbirth rates and rate ratios according to six newborn types. RESULTS: 635 107 (0.5%) of the 125 419 255 total births resulted in stillbirth after 22+0 weeks. Most stillbirths (74.3%) were preterm. Around 21.2% were SGA types (PT + SGA [16.2%], PT + AGA [48.3%], T + SGA [5.0%]) and 14.1% were LGA types (PT + LGA [9.9%], T + LGA [4.2%]). The median rate ratio (RR) for stillbirth was highest in PT + SGA babies (RR 81.1, interquartile range [IQR], 68.8-118.8) followed by PT + AGA (RR 25.0, IQR, 20.0-34.3), PT + LGA (RR 25.9, IQR, 13.8-28.7) and T + SGA (RR 5.6, IQR, 5.1-6.0) compared with T + AGA. Stillbirth rate ratios were similar for T + LGA versus T + AGA (RR 0.7, IQR, 0.7-1.1). At the population level, 25% of stillbirths were attributable to small-for-gestational-age. CONCLUSIONS: In these high-quality data from high/middle income countries, almost three-quarters of stillbirths were born preterm and a fifth small-for-gestational age, with the highest stillbirth rates associated with the coexistence of preterm and SGA. Further analyses are needed to better understand patterns of gestation-specific risk in these populations, as well as patterns in lower-income contexts, especially those with higher rates of intrapartum stillbirth and SGA.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: BJOG Sujet du journal: GINECOLOGIA / OBSTETRICIA Année: 2023 Type de document: Article Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: BJOG Sujet du journal: GINECOLOGIA / OBSTETRICIA Année: 2023 Type de document: Article Pays de publication: Royaume-Uni