Late preterm birth: risk factors, prognosis, risk management (review 2018–2023)
AbstractThe FIGO Congress (2018) identified preterm birth as an unresolved problem that cannot be solved by modern methods. Prospects lie in revealing the mechanism of premature birth, as well as in the development and implementation of effective practices for preventing distress syndrome and delivery. In the structure of preterm birth, more than half of the cases (almost 60%) are due to late premature birth. His review article examines risk factors, prognosis and management strategies for preterm birth in the period from 34 to 36⁺⁶ weeks of gestation.
Keywords:late preterm birth; distress syndrome; delivery; risk factors; prognosis; risk management
Funding. The study had no sponsor support.
Conflict of interest. The authors declare no conflict of interest.
For citation: Fatkullina L.S., Mulendeeva M.А. Late preterm birth: risk factors, prognosis, risk management (review 2018–2023). Akusherstvo i ginekologiya: novosti, mneniya, obuchenie [Obstetrics and Gynecology: News, Opinions, Training]. 2024; 12. Supplement: 99–104. DOI: https://doi.org/10.33029/2303-9698-2024-12-suppl-99-104 (in Russian)
REFERENCES
1. Radzinsky V.E. Obstetric aggression. Moscow: StatusPraesens, 2017: 872 p. (in Russian)
2. 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): 106–15.
3. Ohuma E., Moller A.-B., Bradley E., et al. National, regional, and worldwide estimates of preterm birth in 2020, with trends from 2010: a systematic analysis. Lancet. 2023; 402 (10 409): 1261–71. DOI: https://doi.org/10.1016/S0140-6736(23)00878-4
4. Medyannikova I.V., Savel’eva I.V., Gachkaylo E.A., Prodanchuk E.G., Galyanskaya E.G., Nosova N.V., et al. Maternal risk factors for premature childbirth. Problemy reproduktsii [Problems of Reproduction]. 2023; 29 (5): 85–91. (in Russian)
5. Semenova Yu.A., Dolgushina V.F., Moskvicheva M.G., Chulkov V.S. Model of forecasting and management of premature birth. Vestnik Rossiyskoy akademii meditsinskikh nauk [Bulletin of the Russian Academy of Medical Sciences]. 2019; 74 (4): 221–8. DOI: https://doi.org/10.15690/vramn1085 (in Russian)
6. Beglov D.E., Artymuk N.V., Novikova O.N., Marochko K.V., Parfenova Ya.A. Risk factors for premature birth. Fundamental’naya i klinicheskaya meditsina [Fundamental and Clinical Medicine]. 2022; 7 (4): 8–17. DOI: https://doi.org/10.23946/2500-0764-2022-7-4-8-17
7. Glover A.V., Battarbee A.N., Gyamfi-Bannerman C., Boggess K.A., Sandoval G., Blackwell S.C., et al.; Eunice Kennedy Shriver National Institute of Child Health Human Development Maternal-Fetal Medicine Units Network. Association between features of spontaneous late preterm labor and late preterm birth. Am J Perinatol. 2020; 37 (4): 357–64. DOI: https://doi.org/10.1055/s-0039-1696641 Epub 2019 Sep 17. PMID: 31529452; PMCID: PMC7058482.
8. Tsakiridis I., Dagklis T., Sotiriadis A., Mamopoulos A., Zepiridis L., Athanasiadis A. Third-trimester cervical length assessment for the prediction of spontaneous late preterm birth. J Matern Fetal Neonatal Med. 2023; 36 (1): 2201368. DOI: https://doi.org/10.1080/14767058.2023.2201368 PMID: 37037654.
9. Berghella V., Saccone G. Cervical assessment by ultrasound for preventing preterm delivery. Cochrane Database Syst Rev. 2019; 9 (9): CD007235. DOI: https://doi.org/10.1002/14651858.CD007235.pub4 PMID: 31553800; PMCID: PMC6953418.
10. Deng K., Liang J., Mu Y., Liu Z., Wang Y., Li M., et al. Preterm births in China between 2012 and 2018: an observational study of more than 9 million women. Lancet Glob Health. 2021; 9 (9): e1226–41. DOI: https://doi.org/10.1016/S2214-109X(21)00298-9 PMID: 34416213; PMCID: PMC8386289.
11. Yoshida-Montezuma Y., Sivapathasundaram B., Brown H.K., et al. Association of late preterm birth and size for gestational age with cardiometabolic risk in childhood. JAMA Netw Open. 2022; 5 (5): e2214379. DOI: https://doi.org/10.1001/jamanetworkopen.2022.14379
12. Bandoli G., Chambers C.D. Autoimmune conditions and comorbid depression in pregnancy: examining the risk of preterm birth and preeclampsia. J Perinatol. 2019; 37 (10): 1082–7. DOI: https://doi.org/10.1038/jp.2017.109
13. Skorpen C.G., Lydersen S., Gilboe I.M., Skomsvoll J.F., Salvesen K.A., Palm O., et al. Influence of disease activity and medications on offspring birth weight, pre-eclampsia and preterm birth in systemic lupus erythematosus: a population-based study. Ann Rheum Dis. 2019; 77 (2): 264–9. DOI: https://doi.org/10.1136/annrheumdis-2017-211641
14. Volkov V.G., Badaeva A.A., Badaeva A.V. Prenatal stress as a risk factor for premature birth. Sovremennye problemy nauki i obrazovaniya [Modern Problems of Science and Education]. 2020; (5). URL: https://science-education.ru/ru/article/view?id=30143 (in Russian)
15. Tanpradit K., Kaewkiattikun K. The effect of perceived stress during pregnancy on preterm birth. Int J Womens Health. 2020; 12: 287–93. DOI: https://doi.org/10.1016/j.wombi.2015.02.003
16. Yakovleva O.V., Glukhova T.N. Comparative effectiveness of predictors of premature birth. Lechashchiy vrach [Attending Physician]. 2019; (3): 52–5. (in Russian)
17. Department of Health. Clinical Practice Guidelines: Pregnancy Care. Canberra: Australian Government Department of Health, 2018. URL: https://beta.health.gov.au/resources/pregnancy-care-guidelines/part-d-clinical-assessments/risk-of-preterm-birth
18. Oskovi Kaplan Z.A., Ozgu-Erdinc A.S. Prediction of preterm birth: maternal characteristics, ultrasound markers, and biomarkers: an updated overview. J Pregnancy. 2018; 2018: 8367571. DOI: https://doi.org/10.1155/2018/8367571
19. Darghahi R., Mobaraki-Asl N., Ghavami Z., Pourfarzi F., Hosseini-Asl S., Jalilvand F. Effect of cell-free fetal DNA on spontaneous preterm labor. J Adv Pharm Technol Res. 2019; 10 (3): 117–20. DOI: https://doi.org/10.4103/japtr.JAPTR_371_18 PMID: 31334093; PMCID: PMC6621344.
20. Gomez-Lopez N., Romero R., Schwenkel G., Garcia-Flores V., Panaitescu B., Varrey A., et al. Cell-free fetal DNA increases prior to labor at term and in a subset of preterm births. Reprod Sci. 2020; 27 (1): 218–32. DOI: https://doi.org/10.1007/s43032-019-00023-6 Epub 2020 Jan 1. PMID: 32046392; PMCID: PMC7539810.
21. Kostin I.N., Knyazev S.A. A frank conversation. StatusPraesens. Ginekologiya. Akusherstvo. Besplodniy brak [StatusPraesens. Gynecology. Obstetrics. Barren Marriage]. 2018; 6 (53): 20–7. (in Russian)
22. Desplanches T., Lejeune C., Cottenet J., et al. Cost-effectiveness of diagnostic tests for threatened preterm labor in singleton pregnancy in France. Cost Eff Resour Alloc. 2018; 16: 21. DOI: https://doi.org/10.1186/s12962-018-0106-y
23. Park H., Park K.H., Kim Y.M., et al. Plasma inflammatory and immune proteins as predictors of intra-amniotic infection and spontaneous preterm delivery in women with preterm labor: a retrospective study. BMC Pregnancy Childbirth. 2018; 18 (1): 146. DOI: https://doi.org/10.1186/s12884-018-1780-7
24. Kook S.Y., Park K.H., Jang J.A., et al. Vitamin D-binding protein in cervicovaginal fluid as a non-invasive predictor of intra-amniotic infection and impending preterm delivery in women with preterm labor or preterm premature rupture of membranes. PLoS One. 2018; 13 (6): 0198842. DOI: https://doi.org/10.1371/journal. pone.0198842
25. Di Fabrizio L., Giardina I., Cetin I., et al. New methods for preterm birth prediction: the PAMG-1 test. Minerva Ginecol. 2018; 70 (5): 635–40. DOI: https://doi.org/10.23736/S0026-4784.18.04243-0 Epub 2018 May 31.
26. Melchor J.C., Navas H., Marcos M., et al. Predictive performance of PAMG-1 vs fFN test for risk of spontaneous preterm birth in symptomatic women attending an emergency obstetric unit: retrospective cohort study. Ultrasound Obstet Gynecol. 2018; 51 (5): 644–9. DOI: https://doi.org/10.1002/uog.18892 Epub 2018 Mar 26.
27. Ravi M., Beljorie M., Masry K. Evaluation of the quantitative fetal fibronectin test and PAMG-1 test for the prediction of spontaneous preterm birth in patients with signs and symptoms suggestive of preterm labor. J Matern Fetal Neonatal Med. 2019; 32 (23): 3909–14. DOI: https://doi.org/10.1080/14767058.2018.1476485
28. Santipap M., Phupong V. Combination of three-dimensional ultrasound measurement of foetal adrenal gland enlargement and placental alpha microglobulin-1 for the prediction of the timing of delivery within seven days in women with threatened preterm labour and preterm labour. J Obstet Gynaecol. 2018; 38 (8): 1054–9. DOI: https://doi.org/10.1080/01443615.2018.1446422
29. Nikolova T., Uotila J., Nikolova N., et al. Prediction of spontaneous preterm delivery in women presenting with premature labor: a comparison of placenta alpha microglobulin-1, phosphorylated insulin-like growth factor binding protein-1, and cervical length. Am J Obstet Gynecol. 2018; 219 (6): 610.e1–9. DOI: https://doi.org/10.1016/j. ajog.2018.09.016 Epub 2018 Sep 18.
30. Melchor J.C., Khalil A., Wing D., et al. Prediction of preterm delivery in symptomatic women using PAMG-1, fetal fibronectin and phIGFBP-1 tests: systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2018; 52 (4): 442–51. DOI: https://doi.org/10.1002/uog.19119 Epub 2018 Sep 4.
31. Kim J.I., Cho M.O., Choi G.Y. Multiple factors in the second trimester of pregnancy on preterm labor symptoms and preterm birth. J Korean Acad Nurs. 2017; 47 (3): 357–66. DOI: https://doi.org/10.4040/jkan.2017.47.3.357
32. Palacio M., Caradeux J., Sánchez M., et al. Uterine cervical length measurement to reduce length of stay in patients admitted for threatened preterm labor: a randomized trial. Fetal Diagn Ther. 2018; 43 (3): 184–90. DOI: https://doi.org/10.1159/000477930 Epub 2017 Aug 17.
33. Agarwal S., Agarwal A., Joon P., et al. Fetal adrenal gland biometry and cervical elastography as predictors of preterm birth: a comparative study. Ultrasound. 2018; 26 (1): 54–62. DOI: https://doi.org/10.1177/1742271X17748515 Epub 2018 Feb 7.
34. Hernandez-Andrade E., Maymon E., Luewan S., et al. A soft cervix, categorized by shear-wave elastography, in women with short or with normal cervical length at 18–24 weeks is associated with a higher prevalence of spontaneous preterm delivery. J Perinat Med. 2018; 46 (5): 489–501. DOI: https://doi.org/10.1515/jpm-2018-0062
Заключение
Надо констатировать тот факт, что применение токолитиков за последние 60 лет не привело к снижению общей частоты ПР [1]. Вместе с тем токолиз дает время для профилактики респираторного дистресс-синдрома и транспортировки беременной в акушерский стационар, готовый к приему ПР и оказанию квалифицированной помощи недоношенному ребенку. Предикция, прогнозирование и правильная идентификация позволяют улучшить исходы ПР, в том числе и ППР. Однако эти вопросы пока далеки от решения и требуют проведения дальнейших исследований.
ЛИТЕРАТУРА
1. Радзинский В.Е. Акушерская агрессия. Москва : StatusPraesens; 2017. 872 с.
2. 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. Vol. 6, N 2. P. 106-115.
3. Ohuma E., Moller A.-B., Bradley E. et al. National, regional, and worldwide estimates of preterm birth in 2020, with trends from 2010: a systematic analysis // Lancet. 2023. Vol. 402, N 10 409. P. 1261-1271. DOI: https://doi.org/10.1016/S0140-6736(23)00878-4
4. Медянникова И.В., Савельева И.В., Гачкайло Е.А., Проданчук Е.Г., Галянская Е.Г., Носова Н.В. и др. Материнские факторы риска преждевременных родов // Проблемы репродукции. 2023. Т. 29, № 5. С. 85-91.
5. Семенова Ю.А., Долгушина В.Ф., Москвичева М.Г., Чулков В.С. Модель прогнозирования и управления преждевременными родами // Вестник Российской академии медицинских наук. 2019. Т. 74, № 4. C. 221-228. DOI: https://doi.org/10.15690/vramn1085
6. Беглов Д.Е., Артымук Н.В., Новикова О.Н., Марочко К.В., Парфенова Я.А. Факторы риска преждевременных родов // Фундаментальная и клиническая медицина. 2022. Т. 7, № 4. С. 8-17. DOI: https://doi.org/10.23946/2500-0764-2022-7-4-8-17
7. Glover A.V., Battarbee A.N., Gyamfi-Bannerman C., Boggess K.A., Sandoval G., Blackwell S.C. et al.; Eunice Kennedy Shriver National Institute of Child Health Human Development Maternal-Fetal Medicine Units Network. Association between features of spontaneous late preterm labor and late preterm birth // Am. J. Perinatol. 2020. Vol. 37, N 4. P. 357-364. DOI: https://doi.org/10.1055/s-0039-1696641 Epub 2019 Sep 17. PMID: 31529452; PMCID: PMC7058482.
8. Tsakiridis I., Dagklis T., Sotiriadis A., Mamopoulos A., Zepiridis L., Athanasiadis A. Third-trimester cervical length assessment for the prediction of spontaneous late preterm birth // J. Matern. Fetal Neonatal Med. 2023. Vol. 36, N 1. Article ID 2201368. DOI: https://doi.org/10.1080/14767058.2023.2201368 PMID: 37037654.
9. Berghella V., Saccone G. Cervical assessment by ultrasound for preventing preterm delivery // Cochrane Database Syst. Rev. 2019. Vol. 9, N 9. CD007235. DOI: https://doi.org/10.1002/14651858.CD007235.pub4 PMID: 31553800; PMCID: PMC6953418.
10. Deng K., Liang J., Mu Y., Liu Z., Wang Y., Li M. et al. Preterm births in China between 2012 and 2018: an observational study of more than 9 million women // Lancet Glob Health. 2021. Vol. 9, N 9. P. e1226-e1241. DOI: https://doi.org/10.1016/S2214-109X(21)00298-9 PMID: 34416213; PMCID: PMC8386289.
11. Yoshida-Montezuma Y., Sivapathasundaram B., Brown H.K. et al. Association of late preterm birth and size for gestational age with cardiometabolic risk in childhood // JAMA Netw. Open. 2022. Vol. 5, N 5. Article ID e2214379. DOI: https://doi.org/10.1001/jamanetworkopen.2022.14379
12. Bandoli G., Chambers C.D. Autoimmune conditions and comorbid depression in pregnancy: examining the risk of preterm birth and preeclampsia // J. Perinatol. 2019. Vol. 37, N 10. P. 1082-1087. DOI: https://doi.org/10.1038/jp.2017.109
13. Skorpen C.G., Lydersen S., Gilboe I.M., Skomsvoll J.F., Salvesen K.A., Palm O. et al. Influence of disease activity and medications on offspring birth weight, pre-eclampsia and preterm birth in systemic lupus erythematosus: a population-based study // Ann. Rheum. Dis. 2019. Vol. 77, N 2. P. 264-269. DOI: https://doi.org/10.1136/annrheumdis-2017-211641
14. Волков В.Г., Бадаева А.А., Бадаева А.В. Пренатальный стресс как фактор риска преждевременных родов // Современные проблемы науки и образования. 2020. № 5. URL: https://science-education.ru/ru/article/view?id=30143
15. Tanpradit K., Kaewkiattikun K. The effect of perceived stress during pregnancy on preterm birth // Int. J. Womens Health. 2020. Vol. 12. P. 287-293. DOI: https://doi.org/10.1016/j.wombi.2015.02.003
16. Яковлева О.В., Глухова Т.Н. Сравнительная эффективность предикторов преждевременных родов // Лечащий врач. 2019. № 3. С. 52-55.
17. Department of Health. Clinical Practice Guidelines: Pregnancy Care. Canberra : Australian Government Department of Health, 2018. URL: https://beta.health.gov.au/resources/pregnancy-care-guidelines/part-d-clinical-assessments/risk-of-preterm-birth
18. Oskovi Kaplan Z.A., Ozgu-Erdinc A.S. Prediction of preterm birth: maternal characteristics, ultrasound markers, and biomarkers: an updated overview // J Pregnancy. 2018. Vol. 2018. Article ID 8367571. DOI: https://doi.org/10.1155/2018/8367571
19. Darghahi R., Mobaraki-Asl N., Ghavami Z., Pourfarzi F., Hosseini-Asl S., Jalilvand F. Effect of cell-free fetal DNA on spontaneous preterm labor // J. Adv. Pharm. Technol. Res. 2019. Vol. 10, N 3. P. 117-120. DOI: https://doi.org/10.4103/japtr.JAPTR_371_18 PMID: 31334093; PMCID: PMC6621344.
20. Gomez-Lopez N., Romero R., Schwenkel G., Garcia-Flores V., Panaitescu B., Varrey A. et al. Cell-free fetal DNA increases prior to labor at term and in a subset of preterm births // Reprod. Sci. 2020. Vol. 27, N 1. P. 218-232. DOI: https://doi.org/10.1007/s43032-019-00023-6 Epub 2020 Jan 1. PMID: 32046392; PMCID: PMC7539810.
21. Костин И.Н., Князев С.А. Откровенный разговор // StatusPraesens. Гинекология, акушерство, бесплодный брак. 2018. № 6 (53). С. 20-27.
22. Desplanches T., Lejeune C., Cottenet J. et al. Cost-effectiveness of diagnostic tests for threatened preterm labor in singleton pregnancy in France // Cost Eff. Resour. Alloc. 2018. Vol. 16. P. 21. DOI: https://doi.org/10.1186/s12962-018-0106-y
23. Park H., Park K.H., Kim Y.M. et al. Plasma inflammatory and immune proteins as predictors of intra-amniotic infection and spontaneous preterm delivery in women with preterm labor: a retrospective study // BMC Pregnancy Childbirth. 2018. Vol. 18, N 1. P. 146. DOI: https://doi.org/10.1186/s12884-018-1780-7
24. Kook S.Y., Park K.H., Jang J.A. et al. Vitamin D-binding protein in cervicovaginal fluid as a non-invasive predictor of intra-amniotic infection and impending preterm delivery in women with preterm labor or preterm premature rupture of membranes // PLoS One. 2018. Vol. 13, N 6. Article ID 0198842. DOI: https://doi.org/10.1371/journal.pone.0198842
25. Di Fabrizio L., Giardina I., Cetin I. et al. New methods for preterm birth prediction: the PAMG-1 test // Minerva Ginecol. 2018. Vol. 70, N 5. P. 635-640. DOI: https://doi.org/10.23736/S0026-4784.18.04243-0 Epub 2018 May 31.
26. Melchor J.C., Navas H., Marcos M. et al. Predictive performance of PAMG-1 vs fFN test for risk of spontaneous preterm birth in symptomatic women attending an emergency obstetric unit: retrospective cohort study // Ultrasound Obstet. Gynecol. 2018. Vol. 51, N 5. P. 644-649. DOI: https://doi.org/10.1002/uog.18892 Epub 2018 Mar 26.
27. Ravi M., Beljorie M., Masry K. Evaluation of the quantitative fetal fibronectin test and PAMG-1 test for the prediction of spontaneous preterm birth in patients with signs and symptoms suggestive of preterm labor // J. Matern. Fetal Neonatal Med. 2019. Vol. 32, N 23. P. 3909-3914. DOI: https://doi.org/10.1080/14767058.2018.1476485
28. Santipap M., Phupong V. Combination of three-dimensional ultrasound measurement of foetal adrenal gland enlargement and placental alpha microglobulin-1 for the prediction of the timing of delivery within seven days in women with threatened preterm labour and preterm labour // J. Obstet. Gynaecol. 2018. Vol. 38, N 8. P. 1054-1059. DOI: https://doi.org/10.1080/01443615.2018.1446422
29. Nikolova T., Uotila J., Nikolova N. et al. Prediction of spontaneous preterm delivery in women presenting with premature labor: a comparison of placenta alpha microglobulin-1, phosphorylated insulin-like growth factor binding protein-1, and cervical length // Am. J. Obstet. Gynecol. 2018. Vol. 219, N 6. P. 610.e1-519.e9. DOI: https://doi.org/10.1016/j. ajog.2018.09.016 Epub 2018 Sep 18.
30. Melchor J.C., Khalil A., Wing D. et al. Prediction of preterm delivery in symptomatic women using PAMG-1, fetal fibronectin and phIGFBP-1 tests: systematic review and meta-analysis // Ultrasound Obstet. Gynecol. 2018. Vol. 52, N 4. P. 442-451. DOI: https://doi.org/10.1002/uog.19119 Epub 2018 Sep 4.
31. Kim J.I., Cho M.O., Choi G.Y. Multiple factors in the second trimester of pregnancy on preterm labor symptoms and preterm birth // J. Korean Acad. Nurs. 2017. Vol. 47, N 3.P. 357-366. DOI: https://doi.org/10.4040/jkan.2017.47.3.357
32. Palacio M., Caradeux J., Sánchez M. et al. Uterine cervical length measurement to reduce length of stay in patients admitted for threatened preterm labor: a randomized trial // Fetal Diagn. Ther. 2018. Vol. 43, N 3. P. 184-190. DOI: https://doi.org/10.1159/000477930 Epub 2017 Aug 17.
33. Agarwal S., Agarwal A., Joon P. et al. Fetal adrenal gland biometry and cervical elastography as predictors of preterm birth: a comparative study // Ultrasound. 2018. Vol. 26, N 1. P. 54-62. DOI: https://doi.org/10.1177/1742271X17748515 Epub 2018 Feb 7.
34. Hernandez-Andrade E., Maymon E., Luewan S. et al. A soft cervix, categorized by shear-wave elastography, in women with short or with normal cervical length at 18-24 weeks is associated with a higher prevalence of spontaneous preterm delivery // J. Perinat. Med. 2018. Vol. 46, N 5. P. 489-501. DOI: https://doi.org/10.1515/jpm-2018-0062
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