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