CC BY 4.0 · Rev Bras Ginecol Obstet 2020; 42(01): 051-060
DOI: 10.1055/s-0040-1701462
Integrative Review
Thieme Revinter Publicações Ltda Rio de Janeiro, Brazil

A Comprehensive Integrative Review of the Factors Associated with Spontaneous Preterm Birth, Its Prevention and Prediction, Including Metabolomic Markers

Uma revisão integrativa abrangente dos fatores associados ao parto prematuro espontâneo, sua prevenção e predição, incluindo marcadores metabolômicos
1   Department of Obstetrics and Gynecology, School of Medical Sciences, Universidade Estadual de Campinas, Campinas, SP, Brazil
,
1   Department of Obstetrics and Gynecology, School of Medical Sciences, Universidade Estadual de Campinas, Campinas, SP, Brazil
› Author Affiliations
Further Information

Publication History

23 March 2019

22 November 2019

Publication Date:
27 February 2020 (online)

Abstract

Preterm birth is a major maternal complication that has a great impact on perinatal and neonatal health, with consequences suffered during childhood and adulthood. Little is known about its etiology and development, resulting in poor screening, prediction and preventive methods. The present integrative review discusses the current knowledge regarding some risk factors for preterm birth, the differences between screening and prediction methods, the limitations of some current preventive interventions, the importance of applying standardized concepts for exposures and outcomes, and why it is important to develop more accurate and reproducible methods to predict preterm birth. In addition, the authors introduce the concept of metabolomics and the technology involved in this technique, and discuss about how it has become a promising approach to identify biomarkers for spontaneous preterm birth.

Resumo

Parto prematuro é uma complicação obstétrica de grande impacto para saúde perinatal e neonatal, tendo consequências também para a infância e a vida adulta. Pouco se sabe sobre sua etiologia e fatores determinantes, o que limita os métodos de rastreamento, predição e prevenção. Esta revisão integrativa traz a discussão sobre o conhecimento atual sobre fatores de risco para parto prematuro espontâneo, as diferenças entre métodos de rastreamento e predição, as limitações das atuais intervenções preventivas, a importância de se aplicar conceitos padronizados para exposição e desfecho na investigação de parto prematuro espontâneo, e porque é importante desenvolver métodos precisos e reprodutíveis para predizer o parto prematuro. Por fim, introduzimos o conceito de metabolômica e da tecnologia envolvida nessa técnica, e discutimos como ela tem se mostrado uma abordagem prosmissora para identificar biomarcadores associados ao parto prematuro espontâneo.

Contributors

Souza RT and Cecatti JG conceived and planned the concept of the current manuscript. Souza RT collated material for the first draft of the manuscript. Both authors read, reviewed and approved the final version of the manuscript.


 
  • References

  • 1 Hess JH. A city-wide plan for the reduction of deaths associated with and due to prematurity. J Pediatr 1936; 8 (01) 104-121 . (Proceedings of the 5th Annual Meeting of the American Academy of Pediatrics)
  • 2 EXPERT group on prematurity; final report, Geneva, 17-21 April 1950. World Health Organ Tech Rep Ser 1950; 27: 1-11
  • 3 Blencowe H, Cousens S, Chou D, Oestergaard M, Say L, Moller AB. , et al.; Born Too Soon Preterm Birth Action Group. Born too soon: the global epidemiology of 15 million preterm births. Reprod Health 2013; 10 (Suppl. 01) S2 . doi: 10.1186/1742-4755-10-S1-S2
  • 4 Goldenberg RL, Gravett MG, Iams J, Papageorghiou AT, Waller SA, Kramer M. , et al. The preterm birth syndrome: issues to consider in creating a classification system. Am J Obstet Gynecol 2012; 206 (02) 113-118 . doi: 10.1016/j.ajog.2011.10.865
  • 5 Morisaki N, Togoobaatar G, Vogel JP, Souza JP, Rowland Hogue CJ, Jayaratne K. , et al; WHO Multicountry Survey on Maternal and Newborn Health Research Network. Risk factors for spontaneous and provider-initiated preterm delivery in high and low Human Development Index countries: a secondary analysis of the World Health Organization Multicountry Survey on Maternal and Newborn Health. BJOG 2014; 121 (Suppl. 01) 101-109 . doi: 10.1111/1471-0528.12631
  • 6 Souza RT, Cecatti JG, Passini Jr R, Tedesco RP, Lajos GJ, Nomura ML. , et al; Brazilian Multicenter Study on Preterm Birth study group. The burden of provider-initiated preterm birth and associated factors: Evidence from the Brazilian Multicenter Study on Preterm Birth (EMIP). PLoS One 2016; 11 (02) e0148244 . doi: 10.1371/journal.pone.0148244
  • 7 Passini Jr R, Cecatti JG, Lajos GJ, Tedesco RP, Nomura ML, Dias TZ. , et al; Brazilian Multicentre Study on Preterm Birth study group. Brazilian multicentre study on preterm birth (EMIP): prevalence and factors associated with spontaneous preterm birth. PLoS One 2014; 9 (10) e109069 . doi: 10.1371/journal.pone.0109069
  • 8 Kramer MS, Papageorghiou A, Culhane J, Bhutta Z, Goldenberg RL, Gravett M. , et al. Challenges in defining and classifying the preterm birth syndrome. Am J Obstet Gynecol 2012; 206 (02) 108-112 . doi: 10.1016/j.ajog.2011.10.864
  • 9 Fuchs F, Senat MV. Multiple gestations and preterm birth. Semin Fetal Neonatal Med 2016; 21 (02) 113-120 . doi: 10.1016/J.SINY.2015.12.010
  • 10 Santana DS, Souza RT, Surita FG, Argenton JL, Silva CM, Cecatti JG. Twin pregnancy in Brazil: a profile analysis exploring population information from the National Birth E-Registry on Live Births. BioMed Res Int 2018; 2018: 9189648 . doi: 10.1155/2018/9189648
  • 11 Santana DS, Silveira C, Costa ML, Souza RT, Surita FG, Souza JP. , et al; WHO Multi-Country Survey on Maternal and Newborn Health Research Network. Perinatal outcomes in twin pregnancies complicated by maternal morbidity: evidence from the WHO Multicountry Survey on Maternal and Newborn Health. BMC Pregnancy Childbirth 2018; 18 (01) 449 . doi: 10.1186/s12884-018-2082-9
  • 12 Vogel JP, Torloni MR, Seuc A, Betrán AP, Widmer M, Souza JP. , et al; Maternal and perinatal outcomes of twin pregnancy in 23 low- and middle-income countries. PLoS One 2013; 8 (08) e70549 . doi: 10.1371/journal.pone.0070549
  • 13 Chawanpaiboon S, Vogel JP, Moller AB, Lumbiganon P, Petzold M, Hogan D. , 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 (01) e37-e46 . doi: 10.1016/S2214-109X(18)30451-0
  • 14 Harrison MS, Goldenberg RL. Global burden of prematurity. Semin Fetal Neonatal Med 2016; 21 (02) 74-79 . doi: 10.1016/J.SINY.2015.12.007
  • 15 Frey HA, Klebanoff MA. The epidemiology, etiology, and costs of preterm birth. Semin Fetal Neonatal Med 2016; 21 (02) 68-73 . doi: 10.1016/J.SINY.2015.12.011
  • 16 Smith V, Devane D, Begley CM, Clarke M, Higgins S. A systematic review and quality assessment of systematic reviews of randomised trials of interventions for preventing and treating preterm birth. Eur J Obstet Gynecol Reprod Biol 2009; 142 (01) 3-11 . doi: 10.1016/j.ejogrb.2008.09.008
  • 17 Roberts D, Brown J, Medley N, Dalziel SR. Antenatal corticosteroids for accelerating fetal lung maturation for women at risk of preterm birth. Cochrane Database Syst Rev 2017; 3: CD004454 . doi: 10.1002/14651858.CD004454.pub3
  • 18 Mackeen AD, Seibel-Seamon J, Muhammad J, Baxter JK, Berghella V. Tocolytics for preterm premature rupture of membranes. Cochrane Database Syst Rev 2014; (02) CD007062 . doi: 10.1002/14651858.CD007062.pub3
  • 19 Kenyon S, Boulvain M, Neilson JP. Antibiotics for preterm rupture of membranes. Cochrane Database Syst Rev 2013; (12) CD001058 . doi: 10.1002/14651858.CD001058.pub3
  • 20 Shepherd E, Salam RA, Middleton P, Makrides M, McIntyre S, Badawi N. , et al. Antenatal and intrapartum interventions for preventing cerebral palsy: an overview of Cochrane systematic reviews. Cochrane Database Syst Rev 2017; 8: CD012077 . doi: 10.1002/14651858.CD012077.pub2
  • 21 Lawn JE, Kinney MV, Belizan JM, Mason EM, McDougall L, Larson J. , et al. Born Too Soon Preterm Birth Action Group. Born too soon: accelerating actions for prevention and care of 15 million newborns born too soon. Reprod Health 2013; 10 (Suppl. 01) S6 . doi: 10.1186/1742-4755-10-S1-S6
  • 22 Georgiou HM, Di Quinzio MKW, Permezel M, Brennecke SP. Predicting preterm labour: current status and future prospects. Dis Markers 2015; 2015: 435014 . doi: 10.1155/2015/435014
  • 23 Glass HC, Costarino AT, Stayer SA, Brett CM, Cladis F, Davis PJ. Outcomes for extremely premature infants. Anesth Analg 2015; 120 (06) 1337-1351 . doi: 10.1213/ANE.0000000000000705
  • 24 Locatelli A, Consonni S, Ghidini A. Preterm labor: approach to decreasing complications of prematurity. Obstet Gynecol Clin North Am 2015; 42 (02) 255-274 . doi: 10.1016/j.ogc.2015.01.004
  • 25 França EB, Passos VMA, Malta DC, Duncan BB, Ribeiro ALP, Guimarães MDC. , et al. Cause-specific mortality for 249 causes in Brazil and states during 1990-2015: a systematic analysis for the global burden of disease study 2015. Popul Health Metr 2017; 15 (01) 39 . doi: 10.1186/s12963-017-0156-y
  • 26 Offord DR, Kraemer HC. Risk factors and prevention. Evid Based Ment Health 2000; 3 (03) 70-71 . doi: 10.1136/ebmh.3.3.70
  • 27 Fletcher RH, Fletcher SW, Fletcher GS. Risco: princípios básicos. In: Fletcher RH, Fletcher SW, Fletcher GS. Epidemiologia clínica: elementos essenciais. 5. ed. Porto Alegre: Artmed; 2014. . Cap. 4
  • 28 Rose G. Sick individuals and sick populations. Int J Epidemiol 2001; 30 (03) 427-432 , discussion 433–434. doi: 10.1093/ije/30.3.427
  • 29 Institute of Medicine. National Research Council. Committee to Reexamine IOM Pregnancy Weight Guidelines. Weight gain during pregnancy: reexamining the guidelines. Washington, DC: The National Academies Press; 2009
  • 30 Masho SW, Bishop DL, Munn M. Pre-pregnancy BMI and weight gain: where is the tipping point for preterm birth?. BMC Pregnancy Childbirth 2013; 13 (01) 120 . doi: 10.1186/1471-2393-13-120
  • 31 Torloni MR, Betrán AP, Daher S, Widmer M, Dolan SM, Menon R. , et al. Maternal BMI and preterm birth: a systematic review of the literature with meta-analysis. J Matern Fetal Neonatal Med 2009; 22 (11) 957-970 . doi: 10.3109/14767050903042561
  • 32 Honest H, Hyde CJ, Khan KS. Prediction of spontaneous preterm birth: no good test for predicting a spontaneous preterm birth. Curr Opin Obstet Gynecol 2012; 24 (06) 422-433 . doi: 10.1097/GCO.0b013e328359823a
  • 33 Koullali B, Oudijk MA, Nijman TAJ, Mol BWJ, Pajkrt E. Risk assessment and management to prevent preterm birth. Semin Fetal Neonatal Med 2016; 21 (02) 80-88 . doi: 10.1016/j.siny.2016.01.005
  • 34 Phillips C, Velji Z, Hanly C, Metcalfe A. Risk of recurrent spontaneous preterm birth: a systematic review and meta-analysis. BMJ Open 2017; 7 (06) e015402 . doi: 10.1136/bmjopen-2016-015402
  • 35 Baer RJ, Yang J, Berghella V, Chambers CD, Coker TR, Kuppermann M. , et al. Risk of preterm birth by maternal age at first and second pregnancy and race/ethnicity. J Perinat Med 2018; 46 (05) 539-546 . doi: 10.1515/jpm-2017-0014
  • 36 McManemy J, Cooke E, Amon E, Leet T. Recurrence risk for preterm delivery. Am J Obstet Gynecol 2007; 196 (06) 576.e1-576.e6 , discussion 576.e6–576.e7. doi: 10.1016/j.ajog.2007.01.039
  • 37 Shah NR, Bracken MB. A systematic review and meta-analysis of prospective studies on the association between maternal cigarette smoking and preterm delivery. Am J Obstet Gynecol 2000; 182 (02) 465-472 . doi: 10.1016/s0002-9378(00)70240-7
  • 38 Florek E, Piekoszewski W, Hubert A, Kornacka MK. Influence of active and passive smoking during pregnancy on newborn health. In: Koskinen CJ. , (ed.) Handbook of smoking and health. Hauppauge: Nova Science; 2011: 264-307
  • 39 Huang SH, Weng KP, Huang SM, Liou HH, Wang CC, Ou SF. , et al. The effects of maternal smoking exposure during pregnancy on postnatal outcomes: a cross sectional study. J Chin Med Assoc 2017; 80 (12) 796-802 . doi: 10.1016/j.jcma.2017.01.007
  • 40 Behrman R, Butler A. , editors. Institute of Medicine; Committee on Understanding Premature Birth and Assuring Healthy Outcomes. Preterm birth: causes, consequences, and prevention. Washington, DC: National Academies Press; 2007
  • 41 Menon R. Oxidative stress damage as a detrimental factor in preterm birth pathology. Front Immunol 2014; 5: 567 . doi: 10.3389/fimmu.2014.00567
  • 42 Conde-Agudelo A, Romero R. Cervical phosphorylated insulin-like growth factor binding protein-1 test for the prediction of preterm birth: a systematic review and metaanalysis. Am J Obstet Gynecol 2016; 214 (01) 57-73 . doi: 10.1016/j.ajog.2015.06.060
  • 43 Hee L. Likelihood ratios for the prediction of preterm delivery with biomarkers. Acta Obstet Gynecol Scand 2011; 90 (11) 1189-1199 . doi: 10.1111/j.1600-0412.2011.01187.x
  • 44 Goldenberg RL, Iams JD, Mercer BM, Meis PJ, Moawad A, Das A. , et al. Maternal-Fetal Medicine Units Network. The Preterm Prediction Study: toward a multiple-marker test for spontaneous preterm birth. Am J Obstet Gynecol 2001; 185 (03) 643-651 . doi: 10.1067/mob.2001.116752
  • 45 van der Ven J, van Os MA, Kazemier BM, Kleinrouweler E, Verhoeven CJ, de Miranda E. , et al. The capacity of mid-pregnancy cervical length to predict preterm birth in low-risk women: a national cohort study. Acta Obstet Gynecol Scand 2015; 94 (11) 1223-1234 . doi: 10.1111/aogs.12721
  • 46 Abbott DS, Hezelgrave NL, Seed PT, Norman JE, David AL, Bennett PR. , et al. Quantitative fetal fibronectin to predict preterm birth in asymptomatic women at high risk. Obstet Gynecol 2015; 125 (05) 1168-1176 . doi: 10.1097/AOG.0000000000000754
  • 47 Villar J, Papageorghiou AT, Knight HE, Gravett MG, Iams J, Waller SA. , et al. The preterm birth syndrome: a prototype phenotypic classification. Am J Obstet Gynecol 2012; 206 (02) 119-123 . doi: 10.1016/j.ajog.2011.10.866
  • 48 Barros FC, Papageorghiou AT, Victora CG, Noble JA, Pang R, Iams J. , et al. The distribution of clinical phenotypes of preterm birth syndrome: implications for prevention. JAMA Pediatr 2015; 169 (03) 220-229 . doi: 10.1001/jamapediatrics.2014.3040
  • 49 Requejo J, Merialdi M, Althabe F, Keller M, Katz J, Menon R. Born too soon: care during pregnancy and childbirth to reduce preterm deliveries and improve health outcomes of the preterm baby. Reprod Health 2013; 10 (Suppl. 01) S4 . doi: 10.1186/1742-4755-10-S1-S4
  • 50 Lumley J, Chamberlain C, Dowswell T, Oliver S, Oakley L, Watson L. Interventions for promoting smoking cessation during pregnancy. Cochrane Database Syst Rev 2009; (03) CD001055 . doi: 10.1002/14651858.CD001055.pub3
  • 51 Scherman A, Tolosa JE, McEvoy C. Smoking cessation in pregnancy: a continuing challenge in the United States. Ther Adv Drug Saf 2018; 9 (08) 457-474 . doi: 10.1177/2042098618775366
  • 52 Honest H, Forbes CA, Durée KH, Norman G, Duffy SB, Tsourapas A. , et al. Screening to prevent spontaneous preterm birth: systematic reviews of accuracy and effectiveness literature with economic modelling. Health Technol Assess 2009; 13 (43) 1-627 . doi: 10.3310/hta13430
  • 53 To MS, Skentou C, Chan C, Zagaliki A, Nicolaides KH. Cervical assessment at the routine 23-week scan: standardizing techniques. Ultrasound Obstet Gynecol 2001; 17 (03) 217-219 . doi: 10.1046/j.1469-0705.2001.00369.x
  • 54 Iams JD, Goldenberg RL, Meis PJ, Mercer BM, Moawad A, Das A. , et al. The length of the cervix and the risk of spontaneous premature delivery. National Institute of Child Health and Human Development Maternal Fetal Medicine Unit Network. N Engl J Med 1996; 334 (09) 567-572 . doi: 10.1056/NEJM199602293340904
  • 55 Berghella V, Roman A, Daskalakis C, Ness A, Baxter JK. Gestational age at cervical length measurement and incidence of preterm birth. Obstet Gynecol 2007; 110 (2 Pt 1): 311-317 . doi: 10.1097/01.AOG.0000270112.05025.1d
  • 56 Romero R, Conde-Agudelo A, Da Fonseca E, O’Brien JM, Cetingoz E, Creasy GW. , et al. Vaginal progesterone for preventing preterm birth and adverse perinatal outcomes in singleton gestations with a short cervix: a meta-analysis of individual patient data. Am J Obstet Gynecol 2018; 218 (02) 161-180 . doi: 10.1016/j.ajog.2017.11.576
  • 57 Dodd JM, Jones L, Flenady V, Cincotta R, Crowther CA. Prenatal administration of progesterone for preventing preterm birth in women considered to be at risk of preterm birth. Cochrane Database Syst Rev 2013; (07) CD004947 . doi: 10.1002/14651858.CD004947.pub3
  • 58 Norman JE, Marlow N, Messow CM, Shennan A, Bennett PR, Thornton S. , et al. Vaginal progesterone prophylaxis for preterm birth (the OPPTIMUM study): a multicentre, randomised, double-blind trial. Lancet 2016; 387 (10033): 2106-2116 . doi: 10.1016/S0140-6736(16)00350-0
  • 59 Shirodkar VN. Some observations on non-malignant conditions of the cervix. J Obstet Gynaecol India 1953; 3: 287-289
  • 60 McDonald IA. Suture of the cervix for inevitable miscarriage. J Obstet Gynaecol Br Emp 1957; 64 (03) 346-350 . doi: 10.1111/j.1471-0528.1957.tb02650.x
  • 61 Eleje GU, Ikechebelu JI, Eke AC, Okam PC, Ezebialu IU, Ilika CP. Cervical cerclage in combination with other treatments for preventing preterm birth in singleton pregnancies. Cochrane Database Syst Rev 2017; (11) CD012871 . doi: 10.1002/14651858.CD012871
  • 62 American College of Obstetricians and Gynecologists. ACOG Practice Bulletin N. 142: Cerclage for the management of cervical insufficiency. Obstet Gynecol 2014; 123 (2 Pt 1): 372-379 . doi: 10.1097/01.AOG.0000443276.68274.cc
  • 63 Goya M, Pratcorona L, Merced C, Rodó C, Valle L, Romero A. , et al. Cervical pessary in pregnant women with a short cervix (PECEP): an open-label randomised controlled trial. Lancet 2012; 379 (9828): 1800-1806 . doi: 10.1016/S0140-6736(12)60030-0
  • 64 Cruz-Melguizo S, San-Frutos L, Martínez-Payo C, Ruiz-Antorán B, Adiego-Burgos B, Campillos-Maza JM. , et al. Cervical pessary compared with vaginal progesterone for preventing early preterm birth: a randomied controlled trial. Obstet Gynecol 2018; 132 (04) 907-915 . doi: 10.1097/AOG.0000000000002884
  • 65 Saccone G, Maruotti GM, Giudicepietro A, Martinelli P. ; Italian Preterm Birth Prevention (IPP) Working Group. Effect of cervical pessary on spontaneous preterm birth in women with singleton pregnancies and short cervical length: a randomized clinical trial. JAMA 2017; 318 (23) 2317-2324 . doi: 10.1001/jama.2017.18956
  • 66 Nicolaides KH, Syngelaki A, Poon LC, Picciarelli G, Tul N, Zamprakou A. , et al. A randomized trial of a cervical pessary to prevent preterm singleton birth. N Engl J Med 2016; 374 (11) 1044-1052 . doi: 10.1056/NEJMoa1511014
  • 67 Dugoff L, Berghella V, Sehdev H, Mackeen AD, Goetzl L, Ludmir J. Prevention of preterm birth with pessary in singletons (PoPPS): randomized controlled trial. Ultrasound Obstet Gynecol 2018; 51 (05) 573-579 . doi: 10.1002/uog.18908
  • 68 Kyvernitakis I, Maul H, Bahlmann F. Controversies about the secondary prevention of spontaneous preterm birth. Geburtshilfe Frauenheilkd 2018; 78 (06) 585-595 . doi: 10.1055/a-0611-5337
  • 69 Conde-Agudelo A, Romero R. Predictive accuracy of changes in transvaginal sonographic cervical length over time for preterm birth: a systematic review and metaanalysis. Am J Obstet Gynecol 2015; 213 (06) 789-801 . doi: 10.1016/j.ajog.2015.06.015
  • 70 Esplin MS, Elovitz MA, Iams JD, Wapner RJ, Grobman WA. , et al. Predictive accuracy of serial transvaginal cervical lengths and quantitative vaginal fetal fibronectin levels for spontaneous preterm birth among nulliparous women. JAMA 2017; 317 (10) 1047-1056 . doi: 10.1001/jama.2017.1373
  • 71 Conde-Agudelo A, Papageorghiou AT, Kennedy SH, Villar J. Novel biomarkers for the prediction of the spontaneous preterm birth phenotype: a systematic review and meta-analysis. BJOG 2011; 118 (09) 1042-1054 . doi: 10.1111/j.1471-0528.2011.02923.x
  • 72 Li S, Dunlop AL, Jones DP, Corwin EJ. High-resolution metabolomics: review of the field and implications for nursing science and the study of preterm birth. Biol Res Nurs 2016; 18 (01) 12-22 . doi: 10.1177/1099800415595463
  • 73 Dettmer K, Hammock BD. Metabolomics - a new exciting field within the “omics” sciences. Environ Health Perspect 2004; 112 (07) A396-A397 . doi: 10.1289/ehp.112-1241997
  • 74 Romero R, Espinoza J, Gotsch F, Kusanovic JP, Friel LA, Erez O. , et al. The use of high-dimensional biology (genomics, transcriptomics, proteomics, and metabolomics) to understand the preterm parturition syndrome. BJOG 2006; 113 (Suppl. 03) 118-135 . doi: 10.1111/j.1471-0528.2006.01150.x
  • 75 Patti GJ, Yanes O, Siuzdak G. Innovation. metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol 2012; 13 (04) 263-269 . doi: 10.1038/nrm3314
  • 76 Dettmer K, Aronov PA, Hammock BD. Mass spectrometry-based metabolomics. Mass Spectrom Rev 2007; 26 (01) 51-78 . doi: 10.1002/mas.20108
  • 77 Kell DB. Metabolomics and systems biology: making sense of the soup. Curr Opin Microbiol 2004; 7 (03) 296-307 . doi: 10.1016/j.mib.2004.04.012
  • 78 Horgan RP, Clancy OH, Myers JE, Baker PN. An overview of proteomic and metabolomic technologies and their application to pregnancy research. BJOG 2009; 116 (02) 173-181 . doi: 10.1111/j.1471-0528.2008.01997.x
  • 79 Putri SP, Nakayama Y, Matsuda F, Uchikata T, Kobayashi S, Matsubara A. , et al. Current metabolomics: practical applications. J Biosci Bioeng 2013; 115 (06) 579-589 . doi: 10.1016/j.jbiosc.2012.12.007
  • 80 Dessì A, Marincola FC, Fanos V. Metabolomics and the great obstetrical syndromes – GDM, PET, and IUGR. Best Pract Res Clin Obstet Gynaecol 2015; 29 (02) 156-164 . doi: 10.1016/j.bpobgyn.2014.04.023
  • 81 Kenny LC, Black MA, Poston L, Taylor R, Myers JE, Baker PN. , et al. Early pregnancy prediction of preeclampsia in nulliparous women, combining clinical risk and biomarkers: the Screening for Pregnancy Endpoints (SCOPE) international cohort study. Hypertension 2014; 64 (03) 644-652 . doi: 10.1161/HYPERTENSIONAHA.114.03578
  • 82 Odibo AO, Goetzinger KR, Odibo L, Cahill AG, Macones GA, Nelson DM. , et al. First-trimester prediction of preeclampsia using metabolomic biomarkers: a discovery phase study. Prenat Diagn 2011; 31 (10) 990-994 . doi: 10.1002/pd.2822
  • 83 Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc 1995; 57 (01) 289-300 . doi: 10.2307/2346101