Performance of a validated spontaneous preterm delivery predictor in South Asian and Sub-Saharan African women: a nested case control study.

Rasheda Khanam ORCID logo ; Tracey C Fleischer ORCID logo ; Nansi S Boghossian ORCID logo ; Imran Nisar ORCID logo ; Usha Dhingra ; Sayedur Rahman ORCID logo ; Angela C Fox ; Muhammad Ilyas ORCID logo ; Arup Dutta ; Nurun Naher ORCID logo ; +20 more... Ashoka D Polpitiya ORCID logo ; Usma Mehmood ; Saikat Deb ; Aziz Ahmed Choudhury ; Md Bahadur Badsha ORCID logo ; Karim Muhammad ; Said Mohammed Ali ; Salahuddin Ahmed ORCID logo ; Durlin E Hickok ORCID logo ; Najeeha Iqbal ORCID logo ; Mohammed Hamad Juma ; Md Abdul Quaiyum ; J Jay Boniface ORCID logo ; Sachiyo Yoshida ORCID logo ; Alexandar Manu ORCID logo ; Rajiv Bahl ORCID logo ; Fyezah Jehan ORCID logo ; Sunil Sazawal ORCID logo ; Julja Burchard ORCID logo ; Abdullah H Baqui ORCID logo ; (2022) Performance of a validated spontaneous preterm delivery predictor in South Asian and Sub-Saharan African women: a nested case control study. The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, 35 (25). pp. 8878-8886. ISSN 1476-7058 DOI: 10.1080/14767058.2021.2005573
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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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