Методи за прогнозиране на преждевременно раждане – част III
Keywords:
преждевременно раждане, цервико-вагинален секрет, биомаркери, недоносеност
Abstract
Различни биохимични маркери, могат да бъдат открити в различните телесни течности (амниотична, урина, слюнка, кръв, цервико-вагинален секрет). Диагностичният смисъл на изследване на цервико-вагинален секрет е доказан в множество публикации, описващи бременни и небременни. Той е съставен от секретите на влагалището, ендоцервикс, ендометриума, децидуа и амниохорион, което обяснява прогностичните му качества за наблюдение на бременността, майчиното и фетално здраве. Изследването на цервико-вагиналната течност е минимално инвазивен метод, което го прави идеален за ежедневната практика.
С повишен интерес е многобройното моделиране на биомаркерите в цервико-вагиналния секрет. Очаква се те да имат способност за прогнозиране на преждевременно раждане (ПР). Това би ерадикирало фалшиво-позитивните резултати на сегашните методи за предикция на ПР. Едно доказателство, че цервико-вагиналният секрет е перфектният източник на молекулни биомаркери, свързани с раждането, е това, че той е близо до гестационните тъкани и се променя със съпътсващите промени в децидуата. С развитието на генетиката се очаква откриването на нови биомаркери, участващи във физиологията на раждането и патофизиологията на ПР.
Настоящата публикация има за цел да представи и анализира методите за прогнозиране на ПР.
References
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Magee LA, von Dadelszen P, Allen VM, et al. The Canadian Perinatal Network: a national network focused on threatened preterm birth at 22 to 28 weeks’ gestation. J Obstet Gynaecol Can. 2011;33(2):111–20.
Moster D, Lie RT, Markestad T. Long-term medical and social consequences of preterm birth. N Engl J Med. 2008;359(3):262–73.
Nankabirwa V, Tumwine JK, Tylleskär T, et al. Perinatal mortality in eastern Uganda: a community based prospective cohort study. PLoS One. 2011;6(5):e19674.
Sangkomkamhang U, Pattanittum P, Laopaiboon M, et al. Mode of delivery and outcomes in preterm births. J Med Assoc Thai. 2011;94(4):415–20.
Cunningham FG, Leveno KJ, Bloom S, et al. Williams Obstetrics. 23rd Edn. New York: McGraw-Hill; 2010.
Alleman BW, Smith AR, Byers HM, et al. A proposed method to predict preterm birth using clinical data, standard maternal serum screening, and cholesterol. Am J Obstet Gynecol. 2013;208(6):472.e1-11.
Bachkangi P, Taylor AH, Bari M, et al. Prediction of preterm labour from a single blood test: The role of the endocannabinoid system in predicting preterm birth in high-risk women. Eur J Obstet Gynecol Reprod Biol. 2019;243:1–6.
Baraldi E, Giordano G, Stocchero M, et al. Untargeted metabolomic analysis of amniotic fluid in the prediction of preterm delivery and bronchopulmonary dysplasia. PLoS One. 2016;11(10):e0164211.
Berghella V, Saccone G. Fetal fibronectin testing for prevention of preterm birth in singleton pregnancies with threatened preterm labor: a systematic review and metaanalysis of randomized controlled trials. Am J Obstet Gynecol. 2016;215(4):431–8.
Lucaroni F, Morciano L, Rizzo G, et al. Biomarkers for predicting spontaneous preterm birth: an umbrella systematic review. J Matern Fetal Neonatal Med. 2018;31(6):726–34.
Карамишева В, Иванов С, Начев А. Биохимичният тест за плацентарен алфа микроглобулин-1 – определяне на риска от спонтанно предтерминно раждане. Акушерство и гинекология. 2015;54(1):52-59.
Lockwood CJ. Testing for risk of preterm delivery. Clin Lab Med. 2003;23(2):345–60.
Pinton A, Severac F, Meyer N, et al. A comparison of vaginal ultrasound and digital examination in predicting preterm delivery in women with threatened preterm labor: a cohort study. Acta Obstet Gynecol Scand. 2017;96(4):447–53.
Greco E, Gupta R, Syngelaki A, et al. First-trimester screening for spontaneous preterm delivery with maternal characteristics and cervical length. Fetal Diagn Ther. 2012;31(3):154-61.
Bruijn M, Vis JY, Wilms FF, et al. Quantitative fetal fibronectin testing in combination with cervical length measurement in the prediction of spontaneous preterm delivery in symptomatic women. BJOG. 2016;123(12):1965–71.
Khushboo, Saha MM, Biswas SC, et al. Role of novel biomarker IL-6 in the prediction of preterm labor. International Journal of Clinical Obstetrics and Gynaecology. 2017;1(1):14–6.
Kim A, Lee ES, Shin JC, et al. Identification of biomarkers for preterm delivery in mid-trimester amniotic fluid. Placenta. 2013;34(10):873–8.
Vinken MPGC, Rabotti C, Mischi M, et al. Accuracy of frequency-related parameters of the electrohysterogram for predicting preterm delivery: a review of the literature: A review of the literature. Obstet Gynecol Surv. 2009;64(8):529–41.
Olgan S, Celiloglu M. Contraction-based uterine artery Doppler velocimetry: novel approach for prediction of preterm birth in women with threatened preterm labor: Contraction-based UtA Doppler velocimetry. Ultrasound Obstet Gynecol. 2016;48(6):757–64.
Davey M-A, Watson L, Rayner JA, et al. Risk-scoring systems for predicting preterm birth with the aim of reducing associated adverse outcomes. Cochrane Database Syst Rev. 2015;2015(10):CD004902.
Georgiou HM, Di Quinzio MKW, Permezel M, et al. Predicting preterm labour: Current status and future prospects. Dis Markers. 2015;2015:435014.
Kunzier NB, Kinzler WL, Chavez MR, et al. The use of cervical sonography to differentiate true from false labor in term patients presenting for labor check. Am J Obstet Gynecol. 2016;215(3):372.e1-5.
Lee KA, Chang MH, Park M-H, et al. A model for prediction of spontaneous preterm birth in asymptomatic women. J Womens Health (Larchmt). 2011;20(12):1825–31.
Lim AC, Hegeman MA, Huis In ’T Veld MA, et al. Cervical length measurement for the prediction of preterm birth in multiple pregnancies: a systematic review and bivariate meta-analysis. Ultrasound Obstet Gynecol. 2011;38(1):10–7.
James CP, Bajaj-Elliott M, Syngelaki A, et al. Serum beta defensin concentration in the first trimester is related to genotype, and is higher in women who develop PPROM and deliver before 34 weeks. Arch Dis Child Fetal Neonatal Ed. 2014;99(Suppl 1):A12.1-A12.
Panaitescu AM, Syngelaki A, Prodan N, et al. Chronic hypertension and adverse pregnancy outcome: a cohort study. Ultrasound Obstet Gynecol. 2017;50(2):228–35.
Park S, You Y-A, Yun H, et al. Cervicovaginal fluid cytokines as predictive markers of preterm birth in symptomatic women. Obstet Gynecol Sci. 2020;63(4):455–63
Park HS, Kwon H, Kwak DW, et al. Addition of cervical elastography may increase preterm delivery prediction performance in pregnant women with short cervix: A prospective study. J Korean Med Sci. 2019;34(9):e68.
Mella MT, Berghella V. Prediction of preterm birth: cervical sonography. Semin Perinatol. 2009;33(5):317–24.
Colombo DF. Predicting spontaneous preterm birth. BMJ. 2002 Aug 10;325(7359):289-90.
Tran T, Luo W, Phung D, et al. Preterm birth prediction: Deriving stable and interpretable rules from high dimensional data. arXiv [stat.ML]. 2016.
Heine RP, McGregor JA, Dullien VK. Accuracy of salivary estriol testing compared to traditional risk factor assessment in predicting preterm birth. Am J Obstet Gynecol. 1999;180(1 Pt 3):S214-8.
Dinarello CA. Historical insights into cytokines. Eur J Immunol. 2007;37 Suppl 1(S1):S34-45.
Menon R, Bhat G, Saade GR, et al. Multivariate adaptive regression splines analysis to predict biomarkers of spontaneous preterm birth. Acta Obstet Gynecol Scand. 2014;93(4):382–91.
Romero R, Grivel J-C, Tarca AL, et al. Evidence of perturbations of the cytokine network in preterm labor. Am J Obstet Gynecol. 2015;213(6):836.e1-836.e18.
Turner MD, Nedjai B, Hurst T, et al. Cytokines and chemokines: At the crossroads of cell signalling and inflammatory disease. Biochim Biophys Acta. 2014;1843(11):2563–82.
Zhang Z, Gao Y, Zhang L, et al. Alterations of IL-6, IL-6R and gp130 in early and late onset severe preeclampsia. Hypertens Pregnancy. 2013;32(3):270–80.
Mor G, Aldo P, Alvero AB. The unique immunological and microbial aspects of pregnancy. Nat Rev Immunol. 2017;17(8):469–82.
Gunko VO, Pogorelova TN, Linde VA. Proteomic profiling of the blood serum for prediction of premature delivery. Bull Exp Biol Med. 2016;161(6):829–32.
Cecatti JG, for the Preterm SAMBA and SCOPE study groups, Souza RT, et al. Use of metabolomics for the identification and validation of clinical biomarkers for preterm birth: Preterm SAMBA. BMC Pregnancy Childbirth. 2016;16(1).
Elovitz MA, Anton L, Bastek J, et al. Can microRNA profiling in maternal blood identify women at risk for preterm birth? Am J Obstet Gynecol. 2015;212(6):782.e1-5.
Kore SJ. Prediction of risk of preterm delivery by cervical assessment by transvaginal ultrasonography. J Obstet Gynecol India. 2009;59:131–5.
Kuppusamy N. Prevalence of Preterm Admissions and the Risk Factors of Preterm Labor in Rural Medical College Hospital. Int J Sci Stud. 2016;4:125–8.
Blencowe H, Bhutta Z, Althabe F, et al. I044 born too soon: A global action report for 15 million preterm births. Int J Gynaecol Obstet. 2012;119(S3):S171–2.
Salunkhe AH, Salunkhe JA, Mohite VR, et al. Development of risk scoring scale tool for prediction of preterm birth. Indian J Community Med. 2019;44(2):102–6.
Berghella V, Tolosa JE, Kuhlman K, et al. Cervical ultrasonography compared with manual examination as a predictor of preterm delivery. Am J Obstet Gynecol. 1997;177(4):723–30.
Guzman ER, Walters C, Ananth CV, et al. A comparison of sonographic cervical parameters in predicting spontaneous preterm birth in high-risk singleton gestations: Cervical length and prematurity. Ultrasound Obstet Gynecol. 2001;18(3):204–10.
Iams JD. The Preterm Prediction Study: recurrence risk of spontaneous preterm birth. National Institute of Child Health and Human Development MaternalFetal Medicine Units Network. Am J Obstet Gynecol. 1998;178:1035–40.
Berghella V, Bega G, Tolosa JE, et al. Ultrasound assessment of the cervix. Clin Obstet Gynecol. 2003;46(4):947–62.
Iams JD, Casal D, McGregor JA, et al. Fetal fibronectin improves the accuracy of diagnosis of preterm labor. Am J Obstet Gynecol. 1995;173(1):141–5.
Foxman EF, Jarolim P. Use of the fetal fibronectin test in decisions to admit to hospital for preterm labor. Clin Chem. 2004;50(3):663–5.
Iams JD, Goldenberg RL, Meis PJ, et al. The length of the cervix and the risk of spontaneous premature delivery. N Engl J Med. 1996;334(9):567–73.
Peaceman AM, Andrews WW, Thorp JM, et al. Fetal fibronectin as a predictor of preterm birth in patients with symptoms: a multicenter trial. Am J Obstet Gynecol. 1997;177(1):13–8.
Tekesin I, Marek S, Hellmeyer L, et al. Assessment of rapid fetal fibronectin in predicting preterm delivery. Obstet Gynecol. 2005;105(2):280–4.
Bittar RE, da Fonseca EB, de Carvalho MHB, et al. Predicting preterm delivery in asymptomatic patients with prior preterm delivery by measurement of cervical length and phosphorylated insulin-like growth factor-binding protein-1. Ultrasound Obstet Gynecol. 2007;29(5):562–7.
Berghella V, Palacio M, Ness A, et al. Cervical length screening for prevention of preterm birth in singleton pregnancy with threatened preterm labor: systematic review and meta-analysis of randomized controlled trials using individual patient-level data: Cervical length and preterm labor. Ultrasound Obstet Gynecol. 2017;49(3):322–9.
American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins-Gynecology. Female sexual dysfunction: ACOG practice bulletin clinical management guidelines for obstetrician-gynecologists, number 213. Obstet Gynecol. 2019;134(1):e1–18.
Magee LA, von Dadelszen P, Allen VM, et al. The Canadian Perinatal Network: a national network focused on threatened preterm birth at 22 to 28 weeks’ gestation. J Obstet Gynaecol Can. 2011;33(2):111–20.
Moster D, Lie RT, Markestad T. Long-term medical and social consequences of preterm birth. N Engl J Med. 2008;359(3):262–73.
Nankabirwa V, Tumwine JK, Tylleskär T, et al. Perinatal mortality in eastern Uganda: a community based prospective cohort study. PLoS One. 2011;6(5):e19674.
Sangkomkamhang U, Pattanittum P, Laopaiboon M, et al. Mode of delivery and outcomes in preterm births. J Med Assoc Thai. 2011;94(4):415–20.
Cunningham FG, Leveno KJ, Bloom S, et al. Williams Obstetrics. 23rd Edn. New York: McGraw-Hill; 2010.
Alleman BW, Smith AR, Byers HM, et al. A proposed method to predict preterm birth using clinical data, standard maternal serum screening, and cholesterol. Am J Obstet Gynecol. 2013;208(6):472.e1-11.
Bachkangi P, Taylor AH, Bari M, et al. Prediction of preterm labour from a single blood test: The role of the endocannabinoid system in predicting preterm birth in high-risk women. Eur J Obstet Gynecol Reprod Biol. 2019;243:1–6.
Baraldi E, Giordano G, Stocchero M, et al. Untargeted metabolomic analysis of amniotic fluid in the prediction of preterm delivery and bronchopulmonary dysplasia. PLoS One. 2016;11(10):e0164211.
Berghella V, Saccone G. Fetal fibronectin testing for prevention of preterm birth in singleton pregnancies with threatened preterm labor: a systematic review and metaanalysis of randomized controlled trials. Am J Obstet Gynecol. 2016;215(4):431–8.
Lucaroni F, Morciano L, Rizzo G, et al. Biomarkers for predicting spontaneous preterm birth: an umbrella systematic review. J Matern Fetal Neonatal Med. 2018;31(6):726–34.
Карамишева В, Иванов С, Начев А. Биохимичният тест за плацентарен алфа микроглобулин-1 – определяне на риска от спонтанно предтерминно раждане. Акушерство и гинекология. 2015;54(1):52-59.
Lockwood CJ. Testing for risk of preterm delivery. Clin Lab Med. 2003;23(2):345–60.
Pinton A, Severac F, Meyer N, et al. A comparison of vaginal ultrasound and digital examination in predicting preterm delivery in women with threatened preterm labor: a cohort study. Acta Obstet Gynecol Scand. 2017;96(4):447–53.
Greco E, Gupta R, Syngelaki A, et al. First-trimester screening for spontaneous preterm delivery with maternal characteristics and cervical length. Fetal Diagn Ther. 2012;31(3):154-61.
Bruijn M, Vis JY, Wilms FF, et al. Quantitative fetal fibronectin testing in combination with cervical length measurement in the prediction of spontaneous preterm delivery in symptomatic women. BJOG. 2016;123(12):1965–71.
Khushboo, Saha MM, Biswas SC, et al. Role of novel biomarker IL-6 in the prediction of preterm labor. International Journal of Clinical Obstetrics and Gynaecology. 2017;1(1):14–6.
Kim A, Lee ES, Shin JC, et al. Identification of biomarkers for preterm delivery in mid-trimester amniotic fluid. Placenta. 2013;34(10):873–8.
Vinken MPGC, Rabotti C, Mischi M, et al. Accuracy of frequency-related parameters of the electrohysterogram for predicting preterm delivery: a review of the literature: A review of the literature. Obstet Gynecol Surv. 2009;64(8):529–41.
Olgan S, Celiloglu M. Contraction-based uterine artery Doppler velocimetry: novel approach for prediction of preterm birth in women with threatened preterm labor: Contraction-based UtA Doppler velocimetry. Ultrasound Obstet Gynecol. 2016;48(6):757–64.
Davey M-A, Watson L, Rayner JA, et al. Risk-scoring systems for predicting preterm birth with the aim of reducing associated adverse outcomes. Cochrane Database Syst Rev. 2015;2015(10):CD004902.
Georgiou HM, Di Quinzio MKW, Permezel M, et al. Predicting preterm labour: Current status and future prospects. Dis Markers. 2015;2015:435014.
Kunzier NB, Kinzler WL, Chavez MR, et al. The use of cervical sonography to differentiate true from false labor in term patients presenting for labor check. Am J Obstet Gynecol. 2016;215(3):372.e1-5.
Lee KA, Chang MH, Park M-H, et al. A model for prediction of spontaneous preterm birth in asymptomatic women. J Womens Health (Larchmt). 2011;20(12):1825–31.
Lim AC, Hegeman MA, Huis In ’T Veld MA, et al. Cervical length measurement for the prediction of preterm birth in multiple pregnancies: a systematic review and bivariate meta-analysis. Ultrasound Obstet Gynecol. 2011;38(1):10–7.
James CP, Bajaj-Elliott M, Syngelaki A, et al. Serum beta defensin concentration in the first trimester is related to genotype, and is higher in women who develop PPROM and deliver before 34 weeks. Arch Dis Child Fetal Neonatal Ed. 2014;99(Suppl 1):A12.1-A12.
Panaitescu AM, Syngelaki A, Prodan N, et al. Chronic hypertension and adverse pregnancy outcome: a cohort study. Ultrasound Obstet Gynecol. 2017;50(2):228–35.
Park S, You Y-A, Yun H, et al. Cervicovaginal fluid cytokines as predictive markers of preterm birth in symptomatic women. Obstet Gynecol Sci. 2020;63(4):455–63
Park HS, Kwon H, Kwak DW, et al. Addition of cervical elastography may increase preterm delivery prediction performance in pregnant women with short cervix: A prospective study. J Korean Med Sci. 2019;34(9):e68.
Mella MT, Berghella V. Prediction of preterm birth: cervical sonography. Semin Perinatol. 2009;33(5):317–24.
Colombo DF. Predicting spontaneous preterm birth. BMJ. 2002 Aug 10;325(7359):289-90.
Tran T, Luo W, Phung D, et al. Preterm birth prediction: Deriving stable and interpretable rules from high dimensional data. arXiv [stat.ML]. 2016.
Heine RP, McGregor JA, Dullien VK. Accuracy of salivary estriol testing compared to traditional risk factor assessment in predicting preterm birth. Am J Obstet Gynecol. 1999;180(1 Pt 3):S214-8.
Dinarello CA. Historical insights into cytokines. Eur J Immunol. 2007;37 Suppl 1(S1):S34-45.
Menon R, Bhat G, Saade GR, et al. Multivariate adaptive regression splines analysis to predict biomarkers of spontaneous preterm birth. Acta Obstet Gynecol Scand. 2014;93(4):382–91.
Romero R, Grivel J-C, Tarca AL, et al. Evidence of perturbations of the cytokine network in preterm labor. Am J Obstet Gynecol. 2015;213(6):836.e1-836.e18.
Turner MD, Nedjai B, Hurst T, et al. Cytokines and chemokines: At the crossroads of cell signalling and inflammatory disease. Biochim Biophys Acta. 2014;1843(11):2563–82.
Zhang Z, Gao Y, Zhang L, et al. Alterations of IL-6, IL-6R and gp130 in early and late onset severe preeclampsia. Hypertens Pregnancy. 2013;32(3):270–80.
Mor G, Aldo P, Alvero AB. The unique immunological and microbial aspects of pregnancy. Nat Rev Immunol. 2017;17(8):469–82.
Gunko VO, Pogorelova TN, Linde VA. Proteomic profiling of the blood serum for prediction of premature delivery. Bull Exp Biol Med. 2016;161(6):829–32.
Cecatti JG, for the Preterm SAMBA and SCOPE study groups, Souza RT, et al. Use of metabolomics for the identification and validation of clinical biomarkers for preterm birth: Preterm SAMBA. BMC Pregnancy Childbirth. 2016;16(1).
Elovitz MA, Anton L, Bastek J, et al. Can microRNA profiling in maternal blood identify women at risk for preterm birth? Am J Obstet Gynecol. 2015;212(6):782.e1-5.
Kore SJ. Prediction of risk of preterm delivery by cervical assessment by transvaginal ultrasonography. J Obstet Gynecol India. 2009;59:131–5.
Kuppusamy N. Prevalence of Preterm Admissions and the Risk Factors of Preterm Labor in Rural Medical College Hospital. Int J Sci Stud. 2016;4:125–8.
Blencowe H, Bhutta Z, Althabe F, et al. I044 born too soon: A global action report for 15 million preterm births. Int J Gynaecol Obstet. 2012;119(S3):S171–2.
Salunkhe AH, Salunkhe JA, Mohite VR, et al. Development of risk scoring scale tool for prediction of preterm birth. Indian J Community Med. 2019;44(2):102–6.
Berghella V, Tolosa JE, Kuhlman K, et al. Cervical ultrasonography compared with manual examination as a predictor of preterm delivery. Am J Obstet Gynecol. 1997;177(4):723–30.
Guzman ER, Walters C, Ananth CV, et al. A comparison of sonographic cervical parameters in predicting spontaneous preterm birth in high-risk singleton gestations: Cervical length and prematurity. Ultrasound Obstet Gynecol. 2001;18(3):204–10.
Iams JD. The Preterm Prediction Study: recurrence risk of spontaneous preterm birth. National Institute of Child Health and Human Development MaternalFetal Medicine Units Network. Am J Obstet Gynecol. 1998;178:1035–40.
Berghella V, Bega G, Tolosa JE, et al. Ultrasound assessment of the cervix. Clin Obstet Gynecol. 2003;46(4):947–62.
Iams JD, Casal D, McGregor JA, et al. Fetal fibronectin improves the accuracy of diagnosis of preterm labor. Am J Obstet Gynecol. 1995;173(1):141–5.
Foxman EF, Jarolim P. Use of the fetal fibronectin test in decisions to admit to hospital for preterm labor. Clin Chem. 2004;50(3):663–5.
Iams JD, Goldenberg RL, Meis PJ, et al. The length of the cervix and the risk of spontaneous premature delivery. N Engl J Med. 1996;334(9):567–73.
Peaceman AM, Andrews WW, Thorp JM, et al. Fetal fibronectin as a predictor of preterm birth in patients with symptoms: a multicenter trial. Am J Obstet Gynecol. 1997;177(1):13–8.
Tekesin I, Marek S, Hellmeyer L, et al. Assessment of rapid fetal fibronectin in predicting preterm delivery. Obstet Gynecol. 2005;105(2):280–4.
Bittar RE, da Fonseca EB, de Carvalho MHB, et al. Predicting preterm delivery in asymptomatic patients with prior preterm delivery by measurement of cervical length and phosphorylated insulin-like growth factor-binding protein-1. Ultrasound Obstet Gynecol. 2007;29(5):562–7.
Berghella V, Palacio M, Ness A, et al. Cervical length screening for prevention of preterm birth in singleton pregnancy with threatened preterm labor: systematic review and meta-analysis of randomized controlled trials using individual patient-level data: Cervical length and preterm labor. Ultrasound Obstet Gynecol. 2017;49(3):322–9.
American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins-Gynecology. Female sexual dysfunction: ACOG practice bulletin clinical management guidelines for obstetrician-gynecologists, number 213. Obstet Gynecol. 2019;134(1):e1–18.
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2024-12-16
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Гьокова Е, Христова-Атанасова Е. Методи за прогнозиране на преждевременно раждане – част III. Редки болести и лекарства сираци [Internet]. 2024Dec.16 [cited 2024Dec.21];15(3-4):9-15. Available from: https://journal.raredis.org/index.php/RBLS/article/view/205
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