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Performance of a validated spontaneous preterm delivery predictor in South Asian and Sub-Saharan African women: a nested case control study.
Khanam, Rasheda; Fleischer, Tracey C; Boghossian, Nansi S; Nisar, Imran; Dhingra, Usha; Rahman, Sayedur; Fox, Angela C; Ilyas, Muhammad; Dutta, Arup; Naher, Nurun; Polpitiya, Ashoka D; Mehmood, Usma; Deb, Saikat; Choudhury, Aziz Ahmed; Badsha, Md Bahadur; Muhammad, Karim; Ali, Said Mohammed; Ahmed, Salahuddin; Hickok, Durlin E; Iqbal, Najeeha; Juma, Mohammed Hamad; Quaiyum, Md Abdul; Boniface, J Jay; Yoshida, Sachiyo; Manu, Alexandar; Bahl, Rajiv; Jehan, Fyezah; Sazawal, Sunil; Burchard, Julja; Baqui, Abdullah H.
Afiliação
  • Khanam R; Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States.
  • Fleischer TC; Sera Prognostics, Inc., Salt Lake City, United States.
  • Boghossian NS; Department of Epidemiology and Biostatistics, University of South Carolina, Arnold School of Public Health, Columbia, United States.
  • Nisar I; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Dhingra U; Global Division, Center for Public Health Kinetics, New Delhi, India.
  • Rahman S; Projahnmo Research Foundation, Dhaka, Bangladesh.
  • Fox AC; Sera Prognostics, Inc., Salt Lake City, United States.
  • Ilyas M; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Dutta A; Global Division, Center for Public Health Kinetics, New Delhi, India.
  • Naher N; Projahnmo Research Foundation, Dhaka, Bangladesh.
  • Polpitiya AD; Sera Prognostics, Inc., Salt Lake City, United States.
  • Mehmood U; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Deb S; Global Division, Center for Public Health Kinetics, New Delhi, India.
  • Choudhury AA; Public Health Laboratory-IDC, Pemba, Tanzania.
  • Badsha MB; Projahnmo Research Foundation, Dhaka, Bangladesh.
  • Muhammad K; Sera Prognostics, Inc., Salt Lake City, United States.
  • Ali SM; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Ahmed S; Public Health Laboratory-IDC, Pemba, Tanzania.
  • Hickok DE; Projahnmo Research Foundation, Dhaka, Bangladesh.
  • Iqbal N; Sera Prognostics, Inc., Salt Lake City, United States.
  • Juma MH; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Quaiyum MA; Public Health Laboratory-IDC, Pemba, Tanzania.
  • Boniface JJ; International Centre for Diarrheal Disease Research, Dhaka, Bangladesh.
  • Yoshida S; Sera Prognostics, Inc., Salt Lake City, United States.
  • Manu A; World Health Organization (MCA/MRD), Geneva, Switzerland.
  • Bahl R; World Health Organization (MCA/MRD), Geneva, Switzerland.
  • Jehan F; World Health Organization (MCA/MRD), Geneva, Switzerland.
  • Sazawal S; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Burchard J; Global Division, Center for Public Health Kinetics, New Delhi, India.
  • Baqui AH; Public Health Laboratory-IDC, Pemba, Tanzania.
J Matern Fetal Neonatal Med ; 35(25): 8878-8886, 2022 Dec.
Article em En | MEDLINE | ID: mdl-34847802
ABSTRACT

OBJECTIVES:

To address the disproportionate burden of preterm birth (PTB) in low- and middle-income countries, this study aimed to (1) verify the performance of the United States-validated spontaneous PTB (sPTB) predictor, comprised of the IBP4/SHBG protein ratio, in subjects from Bangladesh, Pakistan and Tanzania enrolled in the Alliance for Maternal and Newborn Health Improvement (AMANHI) biorepository study, and (2) discover biomarkers that improve performance of IBP4/SHBG in the AMANHI cohort. STUDY

DESIGN:

The performance of the IBP4/SHBG biomarker was first evaluated in a nested case control validation study, then utilized in a follow-on discovery study performed on the same samples. Levels of serum proteins were measured by targeted mass spectrometry. Differences between the AMANHI and U.S. cohorts were adjusted using body mass index (BMI) and gestational age (GA) at blood draw as covariates. Prediction of sPTB < 37 weeks and < 34 weeks was assessed by area under the receiver operator curve (AUC). In the discovery phase, an artificial intelligence method selected additional protein biomarkers complementary to IBP4/SHBG in the AMANHI cohort.

RESULTS:

The IBP4/SHBG biomarker significantly predicted sPTB < 37 weeks (n = 88 vs. 171 terms ≥ 37 weeks) after adjusting for BMI and GA at blood draw (AUC= 0.64, 95% CI 0.57-0.71, p < .001). Performance was similar for sPTB < 34 weeks (n = 17 vs. 184 ≥ 34 weeks) AUC = 0.66, 95% CI 0.51-0.82, p = .012. The discovery phase of the study showed that the addition of endoglin, prolactin, and tetranectin to the above model resulted in the prediction of sPTB < 37 with an AUC= 0.72 (95% CI 0.66-0.79, p-value < .001) and prediction of sPTB < 34 with an AUC of 0.78 (95% CI 0.67-0.90, p < .001).

CONCLUSION:

A protein biomarker pair developed in the U.S. may have broader application in diverse non-U.S. populations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Female / Humans / Newborn País/Região como assunto: Africa Idioma: En Revista: J Matern Fetal Neonatal Med Assunto da revista: OBSTETRICIA / PERINATOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Female / Humans / Newborn País/Região como assunto: Africa Idioma: En Revista: J Matern Fetal Neonatal Med Assunto da revista: OBSTETRICIA / PERINATOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos