Top

Published in:

Open Access 01-12-2022 | Preterm Labor | Research

Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study

Authors: Maryam Najjarzadeha, Sakineh Mohammad-Alizadeh-Charandabi, Shamsi Abbasalizadeh, Mohammad Asghari-Jafarabadi, Mojgan Mirghafourvand

Published in: BMC Pregnancy and Childbirth | Issue 1/2022

Abstract

Background

Prediction of preterm birth is still a challenge due to its multiple etiologies. This prospective cohort study aimed to determine the technology-free predictors of preterm birth in singleton women with threatened preterm labor.

Methods

This prospective cohort study was performed on 371 singleton women with gestational age of 23^+ 6 to 36^+ 4 weeks hospitalized for threatened preterm labor. The data were collected using a questionnaire including demographic characteristics, medical and maternal history, as well as the Perceived Stress Scale (PSS), the Multidimensional Scale of Perceived Social Support (MSPSS), and the WHO’s questionnaire of Violence against Women (VAW). The participants were followed-up until childbirth. The predictors were determined using multivariate logistic regression.

Results

Preterm birth occurred in 51% of women. Seven variables were determined as predictors; rupture of membranes [adjusted odds ratio 11.7, 95% confidence interval 5.4 to 25.6], cervical dilation [AOR 4.1, 95% CI 2.0 to 7.0], gravidity ≥6 [AOR 27.4, 95%CI 2.8 to 264.3], psychological violence during pregnancy [AOR 2.0, 95% CI 1.1 to 3.2], medical problems in pregnancy onset [AOR 1.7, 95% CI 1.1 to 2.8], vaginal bleeding/spotting [AOR 2.1, 95% CI 1.2 to 4.0] and woman age ≤ 19 [AOR 2.2, 95% CI 1.1 to 4.5]. The proportion of variance explained by all these factors was 33.6%.

Conclusions

The technology-free factors seems to have moderate power in preterm birth prediction in singleton pregnant women hospitalized for threatened preterm labor. However, these results are discoveries without verification or validation and need to be confirmed by generalizable studies.

Blencowe H, Lee AC, Cousens S, Bahalim A, Narwal R, Zhong N, et al. Preterm birth-associated neurodevelopmental impairment estimates at regional and global levels for 2010. Pediatr Res. 2013;74(Suppl1):17–34. https://doi.org/10.1038/pr.2013.204.CrossRefPubMedPubMedCentral

Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380(9859):2197–223. https://doi.org/10.1016/S0140-6736(12)61689-4.CrossRefPubMed

Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012;379(9832):2162–72. https://doi.org/10.1016/S0140-6736(12)60820-4.CrossRefPubMed

Sharifi N, Khazaeian S, Pakzad R, Fathnezhad Kazemi A, Chehreh H. Investigating the prevalence of preterm birth in Iranian population: A systematic review and Meta-analysis. J Caring Sci. 2017;6(4):371–80. https://doi.org/10.15171/jcs.2017.035.CrossRefPubMedPubMedCentral

Lee WC. Health outcome prediction using multiple perturbations. Medicine. 2020;99(2):e18664. https://doi.org/10.1097/MD.0000000000018664.CrossRefPubMedPubMedCentral

Rubens CE, Sadovsky Y, Muglia L, Gravett MG, Lackritz E, Gravett C. Prevention of preterm birth: harnessing science to address the global epidemic. Sci Transl Med. 2014;6(262):6262sr5. https://doi.org/10.1126/scitranslmed.3009871.CrossRef

Salunkhe AH, Salunkhe JA, Mohite VR, More U, Pratinidhi AK, Kakade SV. Development of risk scoring scale tool for prediction of preterm birth. Indian J Community Med. 2019;44(2):102–6. https://doi.org/10.4103/ijcm.IJCM_262_18.CrossRefPubMedPubMedCentral

Honest H, Bachmann LM, Sundaram R, Gupta JK, Kleijnen J, Khan KS. The accuracy of risk scores in predicting preterm birth: A systematic review. J Obstet Gynaecol. 2004;24(4):343–59. https://doi.org/10.1080/01443610410001685439.CrossRefPubMed

Sananes N, Langer B, Gaudineau A, Kutnahorsky R, Aissi G, Fritz G, et al. Prediction of spontaneous preterm delivery in singleton pregnancies: where are we and where are we going? A review of literature. J Obstet Gynaecol. 2014;34(6):457–61. https://doi.org/10.3109/01443615.2014.896325.CrossRefPubMed

10.

Melchor JC, Khalil A, Wing D, Schleussner E, Surbek D. 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. https://doi.org/10.1002/uog.19119.CrossRefPubMed

11.

Romero R, Dey SK, Fisher SJ. Preterm labor: one syndrome, many causes. Science. 2014;345(6198):760–5. https://doi.org/10.1126/science.1251816.CrossRefPubMedPubMedCentral

12.

Nedić O, Masnikosa R. Separation of the molecular forms of the insulin-like growth factor (IGF)-binding proteins by affinity chromatography. J Chromatogr B Analyt Technol Biomed Life Sci. 2009;877(8-9):743–6. https://doi.org/10.1016/j.jchromb.2009.02.011.CrossRefPubMed

13.

Abdelazim IA, Abdelrazak KM, Al-Kadi M, Yehia A, Abdulkareem AF. Fetal fibronectin (quick check fFN test) versus placental alpha microglobulin-1 (AmniSure test) for detection of premature rupture of fetal membranes. Arch Gynecol Obstet. 2014;290(3):457–64. https://doi.org/10.1007/s00404-014-3225-5.CrossRefPubMed

14.

Steele P, Tolani F, Subramanian L. The multi-faceted challenges of health Technology in low - and middle - income countries. Acta sci pharm sci. 2019;3(11):52–6 https://actascientific.com/ASPS/pdf/ASPS-03-0426.pdf.

15.

He JR, Ramakrishnan R, Lai YM, Li WD, Zhao X, Hu Y, et al. Predictions of preterm birth from early pregnancy characteristics: born in Guangzhou cohort study. J Clin Med. 2018;7(8):185. https://doi.org/10.3390/jcm7080185.CrossRefPubMedCentral

16.

Passini RJ, Cecatti JG, Lajos GJ, Tedesco RP, Nomura ML, Dias TZ, et al. Brazilian multicentre study on preterm birth (EMIP): prevalence and factors associated with spontaneous preterm birth. PLoS One. 2014;9(10):e109069. https://doi.org/10.1371/journal.pone.0109069.CrossRefPubMedPubMedCentral

17.

Meertens LJE, van Montfort P, Scheepers HCJ, van Kuijk SMJ, Aardenburg R, Langenveld J, et al. Prediction models for the risk of spontaneous preterm birth based on maternal characteristics: a systematic review and independent external validation. Acta Obstet Gynecol Scand. 2018;97(8):907–20. https://doi.org/10.1111/aogs.13358.CrossRefPubMedPubMedCentral

18.

Raba G, Kotarski J. Evaluation of risk factors can help to predict preterm delivery within 7 days in women hospitalized for threatened preterm labour. J Matern Fetal Neonatal Med. 2016;29(19):3142–6. https://doi.org/10.3109/14767058.2015.1115477.CrossRefPubMed

19.

Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385–96.CrossRefPubMed

20.

Khalili R, Sirati nir M, Ebadi A, Tavallai A, Habibi M. Validity and reliability of the Cohen 10-item perceived stress scale in patients with chronic headache: Persian version. Asian J Psychiatr. 2017;26:136–40. https://doi.org/10.1016/j.ajp.2017.01.010.CrossRefPubMed

21.

Najjarzadeh M, Abbasalizadeh S, Mohammad-Alizadeh-Charandabi S, Asghari-Jafarabadi M, Mirghafourvand M. Perceived stress and its predictors in women with threatened preterm labour: A cross-sectional study. Nurs Open. 2022;9:210–21. https://doi.org/10.1002/nop2.1055.CrossRefPubMed

22.

Zimet GD, Dahlem NW, Zimet SG, Farley GK. The Multidimensional Scale of Perceived Social Support. J Pers Assess. 52(1):30–41. https://doi.org/10.1207/s15327752jpa5201_2.

23.

Bagherian-Sararoudi R, Hajian A, Ehsan HB, Sarafraz MR, Zimet GD. Psychometric properties of the persian version of the multidimensional scale of perceived social support in Iran. Int J Prev Med. 2013;4(11):1277–81.PubMedPubMedCentral

24.

García-Moreno C, Jansen H, Ellsberg M, Heise L, Watts C. WHO multi-country study on women's health and domestic violence against women; initial results on prevalence, health outcomes and women's responses. 2004. https://www.who.int/reproductivehealth/publications/violence/24159358X/en/. Accessed 26 June 2019.

25.

Voorhis C, Morgan B. Understanding power and rules of thumb for determining sample size. Tutor Quant Methods Psychol. 2007;3(2):43–50. https://doi.org/10.20982/tqmp.03.2.p043.CrossRef

26.

Allouche M, Huissoud C, Guyard-Boileau B, Rouzier R, Parant O. Development and validation of nomograms for predicting preterm delivery. Am J Obstet Gynecol. 204(3):242.e1–8. https://doi.org/10.1016/j.ajog.2010.09.030.

27.

Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371(9606):75–84.CrossRefPubMedPubMedCentral

28.

Caughey AB, Robinson JN, Norwitz ER. Contemporary diagnosis and management of preterm premature rupture of membranes. Rev Obstet Gynecol. 2008;1(1):11–22.PubMedPubMedCentral

29.

Elias D, Campaña H, Poletta FA, Heisecke SL, Gili JA, Ratowiecki J, et al. Preterm birth etiological pathways: a Bayesian networks and mediation analysis approach. Pediatr Res. 2021. https://doi.org/10.1038/s41390-021-01659-4.

30.

Liong S, Di Quinzio MK, Fleming G, Permezel M, Rice GE, Georgiou HM. Prediction of spontaneous preterm labour in at-risk pregnant women. Reproduction. 2013;146(4):335–45. https://doi.org/10.1530/REP-13-0175.CrossRefPubMed

31.

Vink J, Myers K. Cervical alterations in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2018;52:88–102. https://doi.org/10.1016/j.bpobgyn.2018.03.007.CrossRefPubMedPubMedCentral

32.

Mohammad-Alizadeh-Charandabi S, Bahrami-vazir E, Kamalifard M, Mirghafourvand M. Intimate partner violence during the first pregnancy: A comparison between adolescents and adults in an urban area of Iran. J Forensic Legal Med. 2016;43:53–60. https://doi.org/10.1016/j.jflm.2016.07.002.CrossRef

33.

Farrokh-Eslamlou H, Oshnouei S, Haghighi N. Intimate partner violence during pregnancy in Urmia, Iran in 2012. J Forensic Legal Med. 2014;24:28–32. https://doi.org/10.1016/j.jflm.2014.03.007.CrossRef

34.

Ganchimeg T, Ota E, Morisaki N, Laopaiboon M, Lumbiganon P, Zhang J, et al. Pregnancy and childbirth outcomes among adolescent mothers: a World Health Organization multicountry study. BJOG. 2014;121(Suppl1):40–8. https://doi.org/10.1111/1471-0528.12630.CrossRefPubMed

35.

Stevens-Simon C, Beach RK, McGregor JA. Does incomplete growth and development predispose teenagers to preterm delivery? A template for research. J Perinatol. 2002;22(4):315–23. https://doi.org/10.1038/sj.jp.7210694.CrossRefPubMed

36.

Torkestani F, Abedini MD, Radpoyan L, Rahimi F, Hadipour L, Bakhshandeh M, et al. Iranian national guideline for the obstetric and childbearing services. 3rd ed. Tehran: behdasht.gov.ir; 2017.

37.

Sheehan PM, Nankervis A, Araujo Júnior E, Da Silva CF. Maternal thyroid disease and preterm birth: systematic review and Meta-analysis. J Clin Endocrinol Metab. 2015;100(11):4325–31. https://doi.org/10.1210/jc.2015-3074.CrossRefPubMed

38.

Kock K, Kock F, Klein K, Bancher-Todesca D, Helmer H. Diabetes mellitus and the risk of preterm birth with regard to the risk of spontaneous preterm birth. J Matern Fetal Neonatal Med. 2010;23(9):1004–8. https://doi.org/10.3109/14767050903551392.CrossRefPubMed

39.

Zhang Q, Ananth CV, Li Z, Smulian JC. Maternal anaemia and preterm birth: a prospective cohort study. Int J Epidemiol. 2009;38(5):1380–9. https://doi.org/10.1093/ije/dyp243.CrossRefPubMed

Title: Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study
Authors: Maryam Najjarzadeha
Sakineh Mohammad-Alizadeh-Charandabi
Shamsi Abbasalizadeh
Mohammad Asghari-Jafarabadi
Mojgan Mirghafourvand
Publication date: 01-12-2022
Publisher: BioMed Central
Keywords: Preterm Labor
Premature Birth
Published in: BMC Pregnancy and Childbirth / Issue 1/2022
Electronic ISSN: 1471-2393
DOI: https://doi.org/10.1186/s12884-022-05155-3

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 1/2022

Correction: Dynamics of gut microbiota during pregnancy in women with TPOAb-positive subclinical hypothyroidism: a prospective cohort study

Hysteroscopic resection of type 3 fibroids could improve the pregnancy outcomes in infertile women: a case–control study

Fetal echocardiographic parameters in pregnancies complicated by diabetes: a case control study

Short interbirth interval and associated factors among women with antecedent cesarean deliveries at a tertiary hospital, Southwestern Uganda

Knowledge about neonatal danger signs and associated factors among mothers of children aged 0–12 months in a rural county, Southwest of China: a cross-sectional study

WHO criteria for diabetes in pregnancy: a retrospective cohort