Validating the ratio of insulin like growth factor binding protein 4 to sex hormone binding globulin as a prognostic predictor of preterm birth in Viet Nam: a case-cohort study

References

• World Health Organization. Preterm Birth [March 1, 2023]. Available from: https://www.who.int/news-room/fact-sheets/detail/preterm-birth.
   Google Scholar
• Chawanpaiboon S, Vogel JP, Moller AB, et al. Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis. Lancet Glob Health. 2019;7(1):1–13. Jan doi: 10.1016/S2214-109X(18)30451-0.
   Web of Science ®Google Scholar
• Perin J, Mulick A, Yeung D, et al. Global, regional, and national causes of under-5 mortality in 2000-19: an updated systematic analysis with implications for the sustainable development goals. Lancet Child Adolesc Health. 2022;6(2):106–115. Feb doi: 10.1016/S2352-4642(21)00311-4.
   PubMedGoogle Scholar
• Jin W, Hughes K, Sim S, et al. The contemporary value of dedicated preterm birth clinics for high-risk singleton pregnancies: 15-year outcomes from a leading maternal Centre. J Perinat Med. 2021;49(9):1048–1057. Nov 25 doi: 10.1515/jpm-2021-0020.
   PubMed Web of Science ®Google Scholar
• Campbell F, Salam S, Sutton A, et al. Interventions for the prevention of spontaneous preterm birth: a scoping review of systematic reviews. BMJ Open. 2022;12(5):e052576. May 13 doi: 10.1136/bmjopen-2021-052576.
   PubMed Web of Science ®Google Scholar
• Abdel-Aleem H, Shaaban OM, Abdel-Aleem MA, et al. Cervical pessary for preventing preterm birth in singleton pregnancies. Cochrane Database Syst Rev. 2022;12(12):CD014508. Dec 1 doi: 10.1002/14651858.CD014508.
   PubMedGoogle Scholar
• Wennerholm UB, Bergman L, Kuusela P, et al. Progesterone, cerclage, pessary, or acetylsalicylic acid for prevention of preterm birth in singleton and multifetal pregnancies - A systematic review and meta-analyses. Front Med (Lausanne). 2023;10:1111315. doi: 10.3389/fmed.2023.1111315.
   PubMed Web of Science ®Google Scholar
• Parry S, Leite R, Esplin MS, et al. Cervicovaginal fluid proteomic analysis to identify potential biomarkers for preterm birth. Am J Obstet Gynecol. 2020;222(5):493 e1-493–e13. May doi: 10.1016/j.ajog.2019.11.1252.
   PubMed Web of Science ®Google Scholar
• Law KP, Han TL, Tong C, et al. Mass spectrometry-based proteomics for pre-eclampsia and preterm birth. Int J Mol Sci. 2015;16(5):10952–10985. May 14 doi: 10.3390/ijms160510952.
   PubMed Web of Science ®Google Scholar
• Goldenberg RL, Gravett MG, Iams J, et al. The preterm birth syndrome: issues to consider in creating a classification system. Am J Obstet Gynecol. 2012;206(2):113–118. Feb doi: 10.1016/j.ajog.2011.10.865.
   PubMed Web of Science ®Google Scholar
• Steyerberg EW, Moons KG, van der Windt DA, et al. Prognosis research strategy (PROGRESS) 3: prognostic model research. PLoS Med. 2013;10(2):e1001381. doi: 10.1371/journal.pmed.1001381.
   PubMed Web of Science ®Google Scholar
• Saade GR, Boggess KA, Sullivan SA, et al. Development and validation of a spontaneous preterm delivery predictor in asymptomatic women. Am J Obstet Gynecol. 2016;214(5):633 e1-633–e24. May doi: 10.1016/j.ajog.2016.02.001.
   Web of Science ®Google Scholar
• Burchard J, Saade GR, Boggess KA, et al. Better estimation of spontaneous preterm birth prediction performance through improved gestational age dating. J Clin Med. 2022 May 19;11(10):2885.
   PubMed Web of Science ®Google Scholar
• Markenson GR, Saade GR, Laurent LC, et al. Performance of a proteomic preterm delivery predictor in a large independent prospective cohort. Am J Obstet Gynecol MFM. 2020;2(3):100140. Aug doi: 10.1016/j.ajogmf.2020.100140.
   PubMed Web of Science ®Google Scholar
• Khanam R, Fleischer TC, Boghossian NS, et al. Performance of a validated spontaneous preterm delivery predictor in South asian and Sub-Saharan african women: a nested case control study. J Matern Fetal Neonatal Med. 2022;35(25):8878–8886. Dec
   PubMed Web of Science ®Google Scholar
• Aftab F, Ahmed S, Ali SM, et al. Cohort profile: the alliance for maternal and newborn health improvement (AMANHI) biobanking study. Int J Epidemiol. 2022;50(6):1780–1781i. Jan 6 doi: 10.1093/ije/dyab124.
   PubMed Web of Science ®Google Scholar
• Collins GS, Reitsma JB, Altman DG, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMC Med. 2015;13(1):1. Jan 6(doi: 10.1186/s12916-014-0241-z.
   PubMedGoogle Scholar
• Villar J, Papageorghiou AT, Knight HE, et al. The preterm birth syndrome: a prototype phenotypic classification. Am J Obstet Gynecol. 2012;206(2):119–123. Feb doi: 10.1016/j.ajog.2011.10.866.
   PubMed Web of Science ®Google Scholar
• Villar J, Giuliani F, Bhutta ZA, et al. Postnatal growth standards for preterm infants: the preterm postnatal follow-up study of the INTERGROWTH-21(st) project. Lancet Glob Health. 2015;3(11):e681-91–e691. Nov doi: 10.1016/S2214-109X(15)00163-1.
   PubMed Web of Science ®Google Scholar
• Lash TL. Rothman K. Case-control studies. In: lash TL, Vanderweele TJ, Haneuse S, Rothman KJ, editors. Modern epidemiology., 4th edition. Philadelphia: lippincott, Williams & Wilkins; 2021. p. 111–127.
   Google Scholar
• Bradford C, Severinsen R, Pugmire T, et al. Analytical validation of protein biomarkers for risk of spontaneous preterm birth. Clin Mass Spectrom. 2017; 2017/01/01/3:25–38. doi: 10.1016/j.clinms.2017.06.002.
   Google Scholar
• Westgard JO, Barry PL, Hunt MR, et al. A multi-rule shewhart chart for quality control in clinical chemistry. Clin Chem. 1981;27(3):493–501. Mardoi: 10.1093/clinchem/27.3.493.
   PubMed Web of Science ®Google Scholar
• Tibshiriani R. Regression shrinkage and selection via the lasso. J R Statist Soc B. 1996;3:273–282.
   Google Scholar
• NCSS PASS Statistical Software. [March 1, 2023]. Available from: https://www.ncss.com/software/pass/.
   Google Scholar
• SAS Version 9.3 [August 1, 2022]. Available from: http://support.sas.com/software/93/.
   Google Scholar
• R Foundation. The R Project for Statistical Computing [August 1, 2022]. Available from: https://www.r-project.org/.
   Google Scholar
• Yoshida K, Bartel A. tableone: Create ‘Table 1’ to Describe Baseline Characteristics with or without Propensity Score Weights; R package version 0.13.2 2022 [November 21,2022]. Available from: https://cran.r-project.org/web/packages/tableone/index.html.
   Google Scholar
• DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988; Sep44(3):837–845.
   PubMed Web of Science ®Google Scholar
• Boniface JJ, Burchard J, Saade GR. Effects of selective exclusion of patients on preterm birth test performance. Obstet Gynecol. 2019; Dec134(6):1333–1338. doi: 10.1097/AOG.0000000000003511.
   PubMed Web of Science ®Google Scholar
• Harrell FE, Jr., Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Statist. Med. 1996;15(4):361–387. Feb 28doi: 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4.
   PubMed Web of Science ®Google Scholar
• Finazzi S, Poole D, Luciani D, et al. Calibration belt for quality-of-care assessment based on dichotomous outcomes. PLoS One. 2011;6(2):e16110. Feb 23 doi: 10.1371/journal.pone.0016110.
   PubMed Web of Science ®Google Scholar
• Allotey J, Whittle R, Snell KIE, et al. External validation of prognostic models to predict stillbirth using international prediction of pregnancy complications (IPPIC) network database: individual participant data meta-analysis. Ultrasound Obstet Gynecol. 2022;59(2):209–219. Feb doi: 10.1002/uog.23757.
   PubMed Web of Science ®Google Scholar
• Forbes K, Westwood M. Maternal growth factor regulation of human placental development and fetal growth. J Endocrinol. 2010; Oct207(1):1–16. doi: 10.1677/JOE-10-0174.
   PubMed Web of Science ®Google Scholar
• Crosley EJ, Dunk CE, Beristain AG, et al. IGFBP-4 and -5 are expressed in first-trimester villi and differentially regulate the migration of HTR-8/SVneo cells. Reprod Biol Endocrinol. 2014;12(1):123. Dec 4 doi: 10.1186/1477-7827-12-123.
   PubMedGoogle Scholar
• Qiu Q, Bell M, Lu X, et al. Significance of IGFBP-4 in the development of fetal growth restriction. J Clin Endocrinol Metab. 2012;97(8):E1429–39. Aug doi: 10.1210/jc.2011-2511.
   PubMed Web of Science ®Google Scholar
• Nawathe AR, Christian M, Kim SH, et al. Insulin-like growth factor axis in pregnancies affected by fetal growth disorders. Clin Epigenetics. 2016;8(1):11. doi: 10.1186/s13148-016-0178-5.
   PubMedGoogle Scholar
• Hammond GL. Diverse roles for sex hormone-binding globulin in reproduction. Biol Reprod. 2011; Sep85(3):431–441. doi: 10.1095/biolreprod.111.092593.
   PubMed Web of Science ®Google Scholar
• Larrea F, Díaz L, Cariño C, et al. Evidence that human placenta is a site of sex hormone-binding globulin gene expression. J Steroid Biochem Mol Biol. 1993;46(4):497–505. Oct doi: 10.1016/0960-0760(93)90104-5.
   PubMed Web of Science ®Google Scholar
• Simó R, Sáez-López C, Barbosa-Desongles A, et al. Novel insights in SHBG regulation and clinical implications. Trends Endocrinol Metab. 2015;26(7):376–383. Jul doi: 10.1016/j.tem.2015.05.001.
   PubMed Web of Science ®Google Scholar
• UNICEF. Maternal Child Health [June 1, 2023]. Available from: https://www.unicef.org/vietnam/maternal-child-health.
   Google Scholar
• Cheong-See F, Allotey J, Marlin N, et al. Prediction models in obstetrics: understanding the treatment paradox and potential solutions to the threat it poses. BJOG. 2016;123(7):1060–1064. Jun doi: 10.1111/1471-0528.13859.
   PubMed Web of Science ®Google Scholar
• Moons KG, Kengne AP, Grobbee DE, et al. Risk prediction models: II. External validation, model updating, and impact assessment. Heart. 2012;98(9):691–698. May doi: 10.1136/heartjnl-2011-301247.
   PubMed Web of Science ®Google Scholar