THE ACCURACY OF RISK SCORES IN PREDICTING PRETERM BIRTH: A SYSTEMATIC REVIEW
DOI:
https://doi.org/10.53555/8ketwx72Keywords:
Cervical length, Mother age, Preterm birth, Risk scoresAbstract
Introduction: Preterm birth (PTB) is a leading cause of infant illness and death. PTB is spontaneous in two-thirds of instances. SPTB is problematic because it has several causes. If SPTB has occurred before, it will likely happen again. PTB is hard to forecast because the scenario is varied and there are many causes and risk factors. Risk score accuracy in predicting premature birth is discussed.
The aim: This study demonstrated the accurateness of risk score predictions for premature birth.
Methods: This study demonstrated that it met all of the requirements by comparing itself to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020 guidelines. As a result, the specialists were able to ensure that the study was as up to date as possible. Publications published between 2013 and 2023 were considered for this search strategy. This was accomplished using a variety of online reference sources, including Pubmed and SagePub. It was chosen not to include review pieces, previously published works, or works that were just partially completed.
Result: In the PubMed database, the results of our search brought up 415 articles and SagePub 366 articles. The results of the search conducted for the last year of 2013 yielded a total 56 articles for PubMed and 49 articles from SagePub. In the end, we compiled a total of 10 papers.
Conclusion: Preterm birth has been associated to a short cervix, a maternal age over 35, a maternal body mass index above 25, smoking, and concomitant risk factors like hypertension and diabetes.
References
Gomella T, Cuningham M, Eyal F. Neonatology: Management, procedure, On-Call Problems, Disease, and Drug. New York: McGraw-Hill Education; 2020.
Cunningham FG, Leveno KJ, Bloom SL, Cunningham FG; Leveno KJ; Bloom SL; et al, Cunningham FG, Leveno KJ, et al. Williams Obstetri. 25 ed. New York: The McGraw-Hill Companies; 2020.
Li Y, Fu X, Guo X, Liang H, Cao D, Shi J. Maternal preterm birth prediction in the United States: a case-control database study. BMC Pediatr. September 2022;22(1):547.
Gete DG, Waller M, Mishra GD. Prepregnancy dietary patterns and risk of preterm birth and low birth weight: findings from the Australian Longitudinal Study on Women’s Health. Am J Clin Nutr. Mei 2020;111(5):1048–58.
Liu B, Xu G, Sun Y, Du Y, Gao R, Snetselaar LG, et al. Association between maternal pre-pregnancy obesity and preterm birth according to maternal age and race or ethnicity: a population-based study. lancet Diabetes Endocrinol. September 2019;7(9):707–14.
Purisch SE, Gyamfi-Bannerman C. Epidemiology of preterm birth. In: Seminars in perinatology. Elsevier; 2017. hal. 387–91.
Walani SR. Global burden of preterm birth. Int J Gynaecol Obstet Off organ Int Fed Gynaecol Obstet. Juli 2020;150(1):31–3.
Cao G, Liu J, Liu M. Global, regional, and national incidence and mortality of neonatal preterm birth, 1990-2019. JAMA Pediatr. 2022;176(8):787–96.
Gynecologists AC of O and. Prediction and prevention of spontaneous preterm birth: ACOG Practice Bulletin, Number 234. Obstet Gynecol. 2021;138(2):e65–90.
Ville Y, Rozenberg P. Predictors of preterm birth. Best Pract Res Clin Obstet Gynaecol. Oktober 2018;52:23–32.
Miller ES, Tita AT, Grobman WA. Second-Trimester Cervical Length Screening Among Asymptomatic Women: An Evaluation of Risk-Based Strategies. Obstet Gynecol. Juli 2015;126(1):61–6.
Cho HJ, Roh H-J. Correlation Between Cervical Lengths Measured by Transabdominal and Transvaginal Sonography for Predicting Preterm Birth. J ultrasound Med Off J Am Inst Ultrasound Med. Maret 2016;35(3):537– 44.
Esplin MS, Elovitz MA, Iams JD, Parker CB, 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. Maret 2017;317(10):1047–56.
Premkumar A, Henry DE, Moghadassi M, Nakagawa S, Norton ME. The interaction between maternal race/ethnicity and chronic hypertension on preterm birth. Am J Obstet Gynecol. Desember 2016;215(6):787.e1-787.e8.
Wei Y, Xu Q, Yang H, Yang Y, Wang L, Chen H, et al. Preconception diabetes mellitus and adverse pregnancy outcomes in over 6.4 million women: A population-based cohort study in China. PLoS Med. Oktober 2019;16(10):e1002926.
Merlo I, Cantarutti A, Allotta A, Tavormina EE, Iommi M, Pompili M, et al. Development and Validation of a Novel Pre-Pregnancy Score Predictive of Preterm Birth in Nulliparous Women Using Data from Italian Healthcare Utilization Databases. In: Healthcare. MDPI; 2022. hal. 1443.
Arabi Belaghi R, Beyene J, McDonald SD. Prediction of preterm birth in nulliparous women using logistic regression and machine learning. PLoS One. 2021;16(6):e0252025.
Konar H. DC Dutta’s Textbook Of Obstetrics Including Perinatology and Contraception. 8 ed. New Delhi: Jaypee Brothers Medical Publishers; 2015.
Kagan KO, Sonek J. How to measure cervical length. Ultrasound Obstet Gynecol Off J Int Soc Ultrasound Obstet Gynecol. Maret 2015;45(3):358–62.
To MS, Skentou CA, Royston P, Yu CKH, Nicolaides KH. Prediction of patient-specific risk of early preterm delivery using maternal history and sonographic measurement of cervical length: a population-based prospective study. Ultrasound Obstet Gynecol Off J Int Soc Ultrasound Obstet Gynecol. April 2006;27(4):362–7.
Fonseca EB, Celik E, Parra M, Singh M, Nicolaides KH. Progesterone and the risk of preterm birth among women with a short cervix. N Engl J Med. Agustus 2007;357(5):462–9.
Celik E, To M, Gajewska K, Smith GCS, Nicolaides KH. Cervical length and obstetric history predict spontaneous preterm birth: development and validation of a model to provide individualized risk assessment. Ultrasound Obstet Gynecol Off J Int Soc Ultrasound Obstet Gynecol. Mei 2008;31(5):549–54.
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. September 2009;13(43):1–627.
Mehra R, Boyd LM, Ickovics JR. Racial residential segregation and adverse birth outcomes: A systematic review and meta-analysis. Soc Sci Med. Oktober 2017;191:237–50.
Bertagnolli M, Luu TM, Lewandowski AJ, Leeson P, Nuyt AM. Preterm Birth and Hypertension: Is There a Link? Curr Hypertens Rep. April 2016;18(4):28.
Stock SJ, Bauld L. Maternal smoking and preterm birth: An unresolved health challenge. PLoS Med. September 2020;17(9):e1003386.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Licensing
Ninety Nine Publication publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
