Next Article in Journal
EEG Source Network for the Diagnosis of Schizophrenia and the Identification of Subtypes Based on Symptom Severity—A Machine Learning Approach
Next Article in Special Issue
Cervical Assessment for Predicting Preterm Birth—Cervical Length and Beyond
Previous Article in Journal
Prognostic Factors of COVID-19 Infection in Elderly Patients: A Multicenter Study
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JCM
Volume 9
Issue 12
10.3390/jcm9123933
jcm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Risk of Preterm Birth in Women with Three Consecutive Deliveries—The Effect of Number and Type of Prior Preterm Births

by
Liran Hiersch
1,2,*,
Yael Pasternak
2,3,
Nir Melamed
4,
Moshe Meshulam
2,5,
Reut Shashar
2,
Eran Hadar
2,5,
Amir Aviram
2,4,
Yariv Yogev
1,2 and
Eran Ashwal
1,2
1
Department of Obstetrics and Gynecology, Lis Hospital for Women, Sourasky Medical Center, Tel Aviv 3QJQ+3X, Israel
2
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 4R73+8Q, Israel
3
Department of Obstetrics and Gynecology, Meir Medical Center, Kefar Sava 5VJW+W5, Israel
4
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON M4N 3M5, Canada
5
Helen Schneider Hospital for Women, Rabin Medical Center, Petach Tikva 3VQ8+MP, Israel
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(12), 3933; https://doi.org/10.3390/jcm9123933
Submission received: 11 November 2020 / Revised: 27 November 2020 / Accepted: 2 December 2020 / Published: 4 December 2020
(This article belongs to the Special Issue New Tools for Predicting Preterm Birth in Asymptomatic High-Risk Women)
Browse Figures
Versions Notes

Abstract

:
Background: We aimed to explore the association of the number, order, gestational age and type of prior PTB and the risk of preterm birth (PTB) in the third delivery in women who had three consecutive singleton deliveries. Methods: A retrospective cohort study of all women who had three consecutive singleton births at a single medical center over a 20-year period (1994–2013). The primary outcome was PTB (<37 weeks) in the third delivery. Results: 4472 women met inclusion criteria. The rate of PTB in the third delivery was 4.9%. In the adjusted analysis, the risk of PTB was 3.5% in women with no prior PTBs; 10.9% in women with prior one PTB only in the first pregnancy; 16.2% in women with prior one PTB only in the second pregnancy; and 56.5% in women with prior two PTBs. A similar trend was observed when the outcome of interest was spontaneous PTB and when the exposure was limited to prior spontaneous or indicated PTB. Conclusions: In women with a history of PTB, the risk of recurrent PTB in subsequent pregnancies is related to the number and order of prior PTBs. These factors should be taken into account when stratifying the risk of PTB.

1. Introduction

Prematurity is considered as the leading cause of neonatal morbidity and mortality [1,2,3] with approximately 11% and 2% of viable pregnancies resulting in delivery prior to 37 and 34 weeks of gestation, respectively [1,4]. Spontaneous preterm birth (PTB) is considered a final common pathway of many biological mechanisms that vary between individuals [4]. These etiologic pathways are still yet to be elucidated [4,5].
Although there are numerous etiologies for PTB [5], a history of PTB is considered one of the strongest risk factors for reoccurrence [6,7,8]. However, while there is great amount of evidence regarding the increased risk for PTB in women with a previous single PTB [9,10,11,12], there is limited information regarding the effect of more than one prior PTB on that risk, and how different combinations of prior term and preterm births can modify the risk for PTB in the third delivery [13,14,15,16]. In addition, over the last few decades, there has been an increase in the rate of indicated PTB, mainly in the late preterm (34–36 weeks of gestation) period without a clear understanding on their effects on future deliveries [1,17]. The lack of distinguishing between indicated and spontaneous PTB [13,16] and the unknown parity at the time of the index pregnancy [16] can also limit the interpretation of the results of prior studies regarding the effect of obstetrical history on future risk for PTB.
Thus, our aim was to explore the effects of the number, order, gestational age and type of prior PTB on the risk for PTB in the third delivery in a cohort of women who had three first singleton consecutive deliveries.

2. Material and Methods

2.1. Study Design and Participants

A retrospective cohort study of all women who had their first three consecutive singleton births (≥24 + 0 weeks of gestation) at a single medical center over a 20-year period (1994–2013). Women with multiple gestations, known fetal structural or chromosomal anomalies or stillbirth in either pregnancy were excluded from the analysis. In addition, pregnancies of unknown gestational age in any one of the first three deliveries or women who did not deliver all three first consecutive deliveries in our medical center were excluded as well.

2.2. Exposure

The primary exposure was a history of PTB < 37 weeks in the first 2 births, and was classified into four groups based on the number and order of prior PTBs: (1) No prior PTBs (Term-Term group, which served as reference); (2) One PTB only in the first pregnancy (PTB-Term group); (3) One PTB only in the second pregnancy (Term-PTB group); and (4) PTBs in both the first and second pregnancies (PTB-PTB group). Secondary exposures were spontaneous and indicated PTBs and PTB < 34 weeks.

2.3. Outcomes

The primary outcome was PTB < 37 weeks in the third pregnancy. Secondary outcomes were spontaneous PTB < 37 weeks and PTB < 34 weeks in the third pregnancy.

2.4. Data Collection

Data were extracted from the electronic medical records. The following demographic and obstetric variables were recorded: maternal age, gravidity, parity, gestational age at delivery, hypertensive disorders (gestational hypertension or preeclampsia), or small for gestational age (SGA) defined as birthweight <10th, according to local birthweight curves, adjusted for gestational age at delivery and neonatal sex [18].
Gestational age at delivery was determined by the last menstrual period and was verified by first trimester ultrasound when available. In cases of in vitro fertilization, gestational age was determined according to the date of embryo transfer.
Hypertensive disorders of pregnancy included the presence of either gestational hypertension or preeclampsia/eclampsia. Gestational hypertension was defined as new onset (≥20 weeks of gestation) systolic blood pressure (SBP) ≥140 mmHg and/or a diastolic blood pressure (DBP ≥ 90 mmHg. Preeclampsia was defined and gestational hypertension in the presence of new onset proteinuria of ≥300 mg/d or the presence of HELLP syndrome (hemolysis, elevated liver enzymes, and a low platelet count).
During the study period, three different electronic medical records were used. Notwithstanding their extraction from different resources, all relevant data were filled during and immediately following delivery by either the attending physician, registered nurse or midwife. Furthermore, the data used in the current study were primarily discrete fields and as such less prone to error. Lastly, in terms of data quality assurance, internal consistency cross-checks are performed at regular time intervals by a specified medical staff.
The Rabin Medical Center review board (IRB) approval was obtained (0290-15-RMC).

2.5. Data Analysis

Data analysis was performed with the SPSS Version 27.0. Armonk, NY, USA: IBM. Normality was evaluated using the Shapiro–Wilk test. Standard Chi-square test and ANOVA test were used to compare categorical and continuous variables, respectively. Multivariable logistic regression analysis was used to determine the association between PTB in the third delivery and prior deliveries. Models were adjusted for maternal age, chronic hypertension, hypertensive disorders of pregnancy (gestational hypertension or preeclampsia), small for gestational age at delivery, gestational age at delivery, and neonatal sex as potential confounders. Additionally, we further evaluated the influence of indicated versus spontaneous prior preterm births on the risk for preterm delivery in the third delivery. The models were tested for goodness-of-fit. Differences were considered significant when p value was less than 0.05.

3. Results

3.1. Characteristics of the Study Population

During the study period, 49,259 women (121,728 deliveries) delivered in our medical center. Of them, 4615 women (13,845 deliveries) delivered their first three consecutive deliveries in our institution and 4472 of them (13,416 deliveries) met inclusion criteria (Figure 1).
Maternal mean age at the third delivery was 32.5 ± 4.2 years. In terms of gravidity, the median gravidity of our cohort at third delivery was 3 (interquartile range of 3–4). Regarding obstetrical history, amongst our study population 64.2% (n = 2869) had only three pregnancies at the time of their third delivery and 89.3% had no more than one additional fetal demise (<24 weeks). Of all, only 3.1% had more than two prior pregnancy losses (<24 weeks) at the time of their third delivery.
Table 1 outlines the demographic and obstetrical characteristics of the study cohort. As parity increased, the risk of hypertensive disorders (gestational hypertension and preeclampsia) significantly decreased. The overall rate of PTB at first birth was 6% and 1.2% for deliveries <37 and <34 weeks gestation, respectively. While significantly peaked in the first delivery, the rate of PTB (<37 weeks or <34 weeks) was similar between second and third deliveries (p = 0.824 and p = 0.710, respectively).
The distribution of our study population, according to the rate of PTB < 37 weeks’ gestation in the first two deliveries was as follows: 46 women (1.0%) had PTB in both the first and second deliveries (PTB-PTB group), 221 women (4.9%) had PTB in the first delivery but not in the second delivery (PTB-Term group), 167 women (3.7%) had PTB in the second delivery but not in the first delivery (Term-PTB group), and 4038 women (90.3%) had term delivery in both the first and second deliveries (Term-Term group, reference).

3.2. Number and Gestational Age at Prior PTB and the Risk for PTB in the Third Delivery

The rate of PTB (<37 weeks) in the third birth stratified by the number of and gestational age at prior preterm births is depicted in Figure 2. The rate of PTB in the third birth significantly increased as the number of prior PTBs increased. This dose-dependent pattern was shown both when the exposure was considered as prior PTB < 37 weeks of gestation (Figure 2, black columns) and also as prior PTB < 34 weeks of gestation (Figure 2, red columns) (p < 0.001). In multivariate logistic regression adjusted for maternal age, chronic hypertension, hypertensive disorders of pregnancy and small for gestational age status, the adjusted odds ratio (aOR) for PTB in the third birth increased significantly with a greater number of prior pregnancies complicated by PTB (Table 2). This association held true when the outcome of interest was limited to spontaneous PTB (<37 weeks) in the third delivery.
The rate of PTB < 37 weeks of gestation in the third delivery according to the number of prior PTB and whether prior PTB were defined as delivery <37 weeks of gestation (black bars) or <34 weeks of gestation (red bars) (Chi Square for trend <0.001 for both analyses).
The timing of a single prior PTB in the first two deliveries was associated differently with the rate of PTB in the third delivery, which was more pronounced when the prior PTB was more recent to the third delivery (i.e., at the second delivery) as compared to the rate when the first PTB was followed by a term delivery (Figure 2). Similarly, gestational age at the third birth was more strongly related to gestational age at the second birth (Figure 3, red line) than the first birth (Figure 3, orange line), and was most strongly related to the mean of gestational age in both first and second births (Figure 3, green line).
This scatter plot presents the GA at the third birth in relation to GA at the first birth (orange dots), GA at the second birth (red dots), or the simple mean of GA in the first and second births (as a measure that combined information from both births). The corresponding linear regression lines are presented as well: GA[third delivery] = 0.22 × GA[first delivery] + 30.3 (orange line); GA[third delivery] = 0.32 × GA[second delivery] + 26.2 (red line); and GA[third delivery] = 0.41 × (Mean GA[first delivery] and GA[second delivery]) + 22.9 (green line). The coefficients of the 3 regression lines are significantly different from each other as determined using ANOVA (p < 0.05). A greater coefficient means stronger relationship with GA at the 3rd delivery. This means that GA at the 3rd delivery was more strongly related to GA at the 2nd delivery (red line) than the 1st delivery (orange) line, and was most strongly related to the mean of GA in both first and second deliveries (green line). GA, gestational age.

3.3. The Association of the Type of Prior PTB and the Risk for PTB in the Third Delivery

Furthermore, in order to delineate the influence of the type of prior PTB (spontaneous or indicated), we performed a multivariate logistic regression analysis controlling for maternal age, chronic hypertension, hypertensive disorders of pregnancy and small for gestational age status stratifying the cohort by the type of prior PTB (Table 3 and Table 4). Table 4 outlines the association between prior spontaneous PTB and the risk for spontaneous PTB in the third delivery. The risk for spontaneous PTB (<37 weeks) in the third pregnancy increased as the number of prior spontaneous PTBs increased in a dose-dependent manner. The same trend was evident when the outcome of interest was defined as PTB < 34 weeks (Table 3). Of note, 16 women were excluded from this sub-analysis due to unclear data regarding the type of prior PTB (spontaneous vs. indicated).
Lastly, we specifically evaluated the association of prior indicated PTB and the risk for spontaneous PTB in the third delivery (Table 4). As was observed for prior spontaneous PTBs, the risk for spontaneous PTB (<37 weeks and <34 weeks) was significantly increased with the number of prior indicated PTB.

4. Discussion

In the current study, we aimed to explore the association of the number, severity and type of prior preterm births and the risk of PTB in the third delivery. Our main findings were: (1) The second birth is more predictive than the first birth of preterm birth in the third birth and combining the information from both births is even more strongly related to the risk of PTB in the third birth. (2) Gestational age at prior PTB was inversely associated with the rate of PTB in the third delivery; (3) The risk of sPTB in the third delivery was increased as the number of prior spontaneous as well as indicated PTBs increased.
Not many have previously examined the effects of more than one prior PTB on the risk of PTB in the third delivery with specific consideration of the type of prior PTB [13,14,15,16]. Esplin et al. [13], reported that a previous PTB, either at the first or second delivery, increased the risk for reoccurrence in the third delivery as compared to cases with no prior PTB. However, the different combinations of preterm/term births were not analyzed separately for women with a history of only a single prior PTB. Mcmanemy et al. [16] found in a cohort of women with three consecutive deliveries a high rate of PTB in the third delivery for women with a history of PTB, ranging from 13–42%. In concordance with our results, the risk was related to the number of prior PTBs. It was also associated with the order of preterm/term births for those with only one prior PTB. Of note, their cohort was not limited to the first three deliveries of each woman. As a consequence, some women might have had more prior deliveries than those accounted for in the study, which in turn, might have influenced the risk for prematurity in the index pregnancy. Recently, in a study assessing the risk of PTB in the third delivery based on obstetrical history, Kamphuis et al. [14] showed that the outcome of the second pregnancy was more predictive of PTB in the third pregnancy than the outcome of the first pregnancy. Moreover, sPTB in the second delivery was the most predictive factor for sPTB in the third pregnancy (aOR = 8.2). Our results also indicate that the second birth is more strongly related with gestational age at the third birth. Moreover, information from both prior births is important and can be combined for better risk stratification.
Interestingly, we found that not only a history of spontaneous PTB but also indicated PTB is a major risk factor for future spontaneous PTBs. Although the mechanism of the effect of iatrogenic PTB on a future spontaneous process is unclear, several potential explanations for this finding can be offered. Maternal serum C-reactive protein (CRP) levels, reflecting maternal inflammatory response, were found to be increased in the early postpartum period in women with indicated preterm birth even as compared to those who had spontaneous preterm labor [19]. Moreover, maternal cortisol levels in women with PTB were increased in similar magnitude in those with spontaneous and indicated PTB [20], suggesting that maternal stress response is higher in preterm birth unrelated to the underlining cause. Since those variables are not routinely used in the assessment of women with PTB we are unable to confirm this hypothesis in our cohort. Finally, while term induction of labor was not shown to increase the risk for sPTB in subsequent pregnancy [21], induction of labor in the preterm period was reported as a risk factor for future spontaneous delivery [9,15]. These observations suggest that indicated PTB can also alter maternal physiology. Some of these pathological processes have been described as potential etiologies resulting in the preterm parturition syndrome [5], which may explain our findings regarding the increased risk of future spontaneous PTB in women with a history of indicated preterm births.
Current guidelines focus on measures, such as, progesterone or cervical cerclage for the prevention of PTB in women with prior sPTB [22,23]. However, the results of the current study and others [14,15] suggest that indicated preterm birth comprise a high risk of sPTB as well. Yet, preventive measures for woman with prior indicated PTB are mainly aimed to prevent reoccurrence of placenta-related complications, such as preeclampsia and fetal growth restriction [24,25,26,27] and are less common in the context of risk reduction of spontaneous PTB.
Our study withholds some strengths. First, the use of various exposure subgroups and outcomes addressing both the history and type of prior preterm births allowed us to better delineate the risk of PTB in third delivery. Our results can assist in counseling woman with a history of PTB regarding their potential risk of reoccurrence. In addition, the use of variables taken of our hospital datasets and manually exploring the files of those with PTB reduce the chance of reporting biases.
However, our study is not without limitations. Due to the retrospective nature of our design, potential confounders for PTB, such as ethnicity, the use medical treatments and maternal body-mass index [28,29,30] were unavailable. Since the population served by our institution is mainly of Caucasian ethnicity, caregivers who consult women from other ethnicities should interrupt our results with caution. In addition, as our registry does not include births <24 weeks, some women with late miscarriages or PTB < 24 weeks may have misclassified. Yet, most of our cohort (~65%) had no other pregnancies that ended <24 weeks and the vast majority (~90%) had no more than one additional pregnancy. Finally, our study spreads over a period of 20 years, during which there have been various changes in prevention measures of PTB, such as progesterone, cerclage or pessary [22,23,31]. Although our dataset lacks information regarding the uses of these measures, new evidence suggests that the effect of these measures for prevention of PTB may be more limited than once thought, and therefore, less likely to bias our results [32,33].

5. Conclusions

The risk of PTB in the third delivery increases as the number of prior pregnancies complicated by PTB increases, whether they were indicated or spontaneous preterm births. Although gestational age at the second birth is more related to that of the third birth, information from both prior births should be gathered and combined for better risk stratification. Future studies addressing preventive measures for women with prior indicated preterm birth are warranted.

Author Contributions

All authors have approved the submitted version and agreed to be personally accountable for the author’s own contributions and for ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated, resolved, and documented in the literature. Conceptualization: L.H., Y.P., N.M., E.A.; Methodology, L.H., N.M., E.H.; Software, E.A., N.M.; Formal Analysis, L.H. N.M., A.A., E.A.; Data Curation, R.S., L.H., E.A., M.M., Y.Y.; Writing—Original Draft Preparation, L.H., Y.P., M.M., E.A.; Writing—Review & Editing, N.M., M.M., R.S., E.H., A.A. and Y.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Goldenberg, R.L.; Culhane, J.F.; Iams, J.D.; Romero, R. Epidemiology and causes of preterm birth. Lancet 2008, 371, 75–84. [Google Scholar] [CrossRef]
  2. Jarjour, I.T. Neurodevelopmental Outcome after Extreme Prematurity: A Review of the Literature. Pediatr. Neurol. 2015, 52, 143–152. [Google Scholar] [CrossRef] [PubMed]
  3. Shankaran, S.; Natarajan, G. Short- and Long-Term Outcomes of Moderate and Late Preterm Infants. Am. J. Perinatol. 2016, 33, 305–317. [Google Scholar] [CrossRef] [PubMed]
  4. Frey, H.A.; Klebanoff, M.A. The epidemiology, etiology, and costs of preterm birth. Semin. Fetal Neonatal Med. 2016, 21, 68–73. [Google Scholar] [CrossRef]
  5. Romero, R.; Espinoza, J.; Kusanovic, J.P.; Gotsch, F.; Hassan, S.; Erez, O.; Chaiworapongsa, T.; Mazor, M. The preterm parturition syndrome. BJOG Int. J. Obstet. Gynaecol. 2006, 113 (Suppl. 3), 17–42. [Google Scholar] [CrossRef]
  6. Melamed, N.; Hiersch, L.; Meizner, I.; Bardin, R.; Wiznitzer, A.; Yogev, Y. Is measurement of cervical length an accurate predictive tool in women with a history of preterm delivery who present with threatened preterm labor? Ultrasound Obstet. Gynecol. 2014, 44, 661–668. [Google Scholar] [CrossRef]
  7. Mercer, B.M.; Goldenberg, R.L.; Moawad, A.H.; Meis, P.J.; Iams, J.D.; Das, A.F.; Caritis, S.N.; Miodovnik, M.; Menard, M.; Thurnau, G.R.; et al. The Preterm Prediction Study: Effect of gestational age and cause of preterm birth on subsequent obstetric outcome. Am. J. Obstet. Gynecol. 1999, 181, 1216–1221. [Google Scholar] [CrossRef]
  8. Schaaf, J.M.; Ravelli, A.C.; Mol, B.W.J.; Abu-Hanna, A. Development of a prognostic model for predicting spontaneous singleton preterm birth. Eur. J. Obstet. Gynecol. Reprod. Biol. 2012, 164, 150–155. [Google Scholar] [CrossRef]
  9. Ananth, C.V.; Getahun, D.; Peltier, M.R.; Salihu, H.M.; Vintzileos, A.M. Recurrence of spontaneous versus medically indicated preterm birth. Am. J. Obstet. Gynecol. 2006, 195, 643–650. [Google Scholar] [CrossRef]
  10. Kazemier, B.M.; Buijs, P.; Mignini, L.; Limpens, J.; De Groot, C.; Mol, B.; Connect, E. Impact of obstetric history on the risk of spontaneous preterm birth in singleton and multiple pregnancies: A systematic review. BJOG Int. J. Obstet. Gynaecol. 2014, 121, 1197–1208. [Google Scholar] [CrossRef]
  11. Phillips, C.; Velji, Z.; Hanly, C.; Metcalfe, A. Risk of recurrent spontaneous preterm birth: A systematic review and meta-analysis. BMJ Open 2017, 7, e015402. [Google Scholar] [CrossRef]
  12. Yang, J.; Baer, R.J.; Berghella, V.; Chambers, C.; Chung, P.; Coker, T.; Currier, R.J.; Druzin, M.L.; Kuppermann, M.; Muglia, L.J.; et al. Recurrence of Preterm Birth and Early Term Birth. Obstet. Gynecol. 2016, 128, 364–372. [Google Scholar] [CrossRef] [PubMed]
  13. Esplin, M.S.; O’Brien, E.; Fraser, A.; Kerber, R.A.; Clark, E.; Simonsen, S.; Holmgren, C.; Mineau, G.P.; Varner, M.W. Estimating Recurrence of Spontaneous Preterm Delivery. Obstet. Gynecol. 2008, 112, 516–523. [Google Scholar] [CrossRef] [PubMed]
  14. Kamphuis, E.I.; Ravelli, A.C.J.; Koullali, B.; Kazemier, B.; De Groot, C.J.; Mol, B.W.J. Spontaneous and iatrogenic preterm birth rates among unselected women in three consecutive pregnancies. Eur. J. Obstet. Gynecol. Reprod. Biol. 2018, 228, 92–97. [Google Scholar] [CrossRef] [PubMed]
  15. Laughon, S.K.; Albert, P.S.; Leishear, K.; Mendola, P. The NICHD Consecutive Pregnancies Study: Recurrent preterm delivery by subtype. Am. J. Obstet. Gynecol. 2014, 210, 131.e1–131.e8. [Google Scholar] [CrossRef]
  16. McManemy, J.; Cooke, E.; Amon, E.; Leet, T. Recurrence risk for preterm delivery. Am. J. Obstet. Gynecol. 2007, 196, 576.e1–576.e7. [Google Scholar] [CrossRef]
  17. Lucovnik, M.; Bregar, A.T.; Steblovnik, L.; Verdenik, I.; Gersak, K.; Blickstein, I.; Tul, N. Changes in incidence of iatrogenic and spontaneous preterm births over time: A population-based study. J. Périnat. Med. 2016, 44, 505–509. [Google Scholar] [CrossRef]
  18. Dollberg, S.; Haklai, Z.; Mimouni, F.B.; Gorfein, I.; Gordon, E.-S. Birth weight standards in the live-born population in Israel. Israel Med. Assoc. J. 2005, 7, 311–344. [Google Scholar]
  19. Denney, J.M.; Waters, T.P.; Mathew, L.; Goldenberg, R.; Culhane, J. Variation in C-reactive protein at 1 month post-partum by etiology of preterm birth: Selective identification of those at risk for both poor pregnancy outcome and future health complications. J. Périnat. Med. 2019, 47, 804–810. [Google Scholar] [CrossRef]
  20. Bandoli, G.; Jelliffe-Pawlowski, L.L.; Feuer, S.K.; Liang, L.; Oltman, S.P.; Paynter, R.; Ross, K.M.; Schetter, C.D.; Ryckman, K.K.; Chambers, C.D. Second trimester serum cortisol and preterm birth: An analysis by timing and subtype. J. Perinatol. 2018, 38, 973–981. [Google Scholar] [CrossRef]
  21. Levine, L.D.; Bogner, H.R.; Hirshberg, A.; Elovitz, M.A.; Sammel, M.D.; Srinivas, S.K. Term induction of labor and subsequent preterm birth. Am. J. Obstet. Gynecol. 2014, 210, 354.e1–354.e8. [Google Scholar] [CrossRef] [PubMed]
  22. Jarde, A.; Lutsiv, O.; Beyene, J.; McDonald, S.D. Vaginal progesterone, oral progesterone, 17-OHPC, cerclage, and pessary for preventing preterm birth in at-risk singleton pregnancies: An updated systematic review and network meta-analysis. BJOG Int. J. Obstet. Gynaecol. 2019, 126, 556–567. [Google Scholar] [CrossRef] [PubMed]
  23. Society for Maternal-Fetal Medicine (SMFM) Publications Committee. The choice of progestogen for the prevention of preterm birth in women with singleton pregnancy and prior preterm birth. Am. J. Obstet. Gynecol. 2017, 216, B11–B13. [Google Scholar] [CrossRef] [PubMed]
  24. Hypertension in Pregnancy: The Management of Hypertensive Disorders During Pregnancy; NICE: London, UK, 2010.
  25. American College of Obstetricians and Gynecologists. ACOG Committee Opinion No. 743: Low-Dose Aspirin Use during Pregnancy. Obstet. Gynecol. 2018, 132, e44–e52. [Google Scholar] [CrossRef]
  26. Duley, L.; Henderson-Smart, D.J.; Meher, S.; King, J.F. Antiplatelet agents for preventing pre-eclampsia and its complications. Cochrane Database Syst. Rev. 2007, 2, CD004659. [Google Scholar] [CrossRef]
  27. Hiersch, L.; Shinar, S.; Melamed, N.; Aviram, A.; Hadar, E.; Yogev, Y.; Ashwal, E. Recurrent Placenta-Mediated Complications in Women with Three Consecutive Deliveries. Obstet. Gynecol. 2017, 129, 416–421. [Google Scholar] [CrossRef]
  28. McDonald, S.D.; Han, Z.; Mulla, S.; Beyene, J.; on behalf of the Knowledge Synthesis Group. Overweight and obesity in mothers and risk of preterm birth and low birth weight infants: Systematic review and meta-analyses. BMJ 2010, 341, c3428. [Google Scholar] [CrossRef]
  29. Premkumar, A.; Henry, D.E.; Moghadassi, M.; Nakagawa, S.; Norton, M.E. The interaction between maternal race/ethnicity and chronic hypertension on preterm birth. Am. J. Obstet. Gynecol. 2016, 215, 787.e1–787.e8. [Google Scholar] [CrossRef]
  30. Purisch, S.E.; Gyamfi-Bannerman, C. Epidemiology of preterm birth. Semin. Perinatol. 2017, 41, 387–391. [Google Scholar] [CrossRef]
  31. Romero, R.; Yeo, L.; Chaemsaithong, P.; Chaiworapongsa, T.; Hassan, S.S. Progesterone to prevent spontaneous preterm birth. Semin. Fetal Neonatal Med. 2014, 19, 15–26. [Google Scholar] [CrossRef]
  32. Blackwell, S.C.; Chauhan, S.P.; Gyamfi-Bannerman, C.; Biggio, J.R.; Hughes, B.L.; Louis, J.M.; Manuck, T.A.; Miller, H.S.; Das, A.F.; Saade, G.R.; et al. 17-OHPC to Prevent Recurrent Preterm Birth in Singleton Gestations (PROLONG Study): A Multicenter, International, Randomized Double-Blind Trial. Am. J. Perinatol. 2020, 37, 127–136. [Google Scholar] [CrossRef] [PubMed]
  33. Conde-Agudelo, A.; Romero, R.; Nicolaides, K.H. Cervical pessary to prevent preterm birth in asymptomatic high-risk women: A systematic review and meta-analysis. Am. J. Obstet. Gynecol. 2020, 223, 42–65.e2. [Google Scholar] [CrossRef] [PubMed]
Jcm 09 03933 g001 550
Figure 1. Selection of the study cohort.
Figure 1. Selection of the study cohort.
Jcm 09 03933 g001
Jcm 09 03933 g002 550
Figure 2. The rate of preterm birth (PTB) at the third delivery stratified by the number and gestational age of prior preterm births.
Figure 2. The rate of preterm birth (PTB) at the third delivery stratified by the number and gestational age of prior preterm births.
Jcm 09 03933 g002
Jcm 09 03933 g003 550
Figure 3. Relationship between gestational age at the third delivery and gestational age at the first two deliveries.
Figure 3. Relationship between gestational age at the third delivery and gestational age at the first two deliveries.
Jcm 09 03933 g003
Table
Table 1. Characteristics of the study cohort stratified by delivery order.
Table 1. Characteristics of the study cohort stratified by delivery order.
Variable1st Delivery (n = 4472)2nd Delivery (n = 4472)3rd Delivery (n = 4472)
Maternal Age (y) *26.4 ± 3.829.1 ± 3.932.5 ± 4.2
Maternal age > 35 y *74 (1.7)245 (5.5)1513 (33.8)
Hypertensive disorders *170 (3.8)56 (1.3)42 (0.9)
Gestational age at delivery (weeks) *39.4 ± 1.739.0 ± 1.638.9 ± 1.6
PTB < 37 weeks *269 (6.0)214 (4.8)217 (4.9)
Indicated *168 (3.7)104 (2.3)100 (2.2)
Spontaneous99 (2.2)109 (2.4)117 (2.6)
PTB < 34 weeks *53 (1.2)33 (0.7)36 (0.8)
Indicated *40 (0.9)22 (0.5)21 (0.5)
Spontaneous13 (0.3)11 (0.2)15 (0.3)
Birthweight (g) *3147 ± 4973250 ± 4633268 ± 466
Data are mean ± standard deviation or n (%). * Variables were statistically significant among groups (p < 0.01). PTB, preterm birth.
Table
Table 2. The risk for preterm birth in the third delivery stratified by obstetrical history of preterm births.
Table 2. The risk for preterm birth in the third delivery stratified by obstetrical history of preterm births.
Study SubgroupsRisk for PTB (<37 Weeks)
in 3rd Delivery		Risk for Spontaneous PTB (<37 Weeks)
in 3rd Delivery
1st Delivery2nd DeliveryN (%)Rate of PTB n (%) Crude OR
(95% C.I)		Adjusted OR *
(95% C.I)		Rate of PTB
n (%)		 Crude OR
(95% C.I)		Adjusted OR *
(95% C.I)
TermTerm4038 (90.3)140 (3.5)referencereference65 (1.6)referencereference
PretermTerm221 (4.9)24 (10.9)3.39 (2.15–5.35)3.08 (1.92–4.92)11 (5.0)3.20 (1.66–6.16)3.11 (1.61–6.03)
TermPreterm167 (3.7)27 (16.2)5.37 (3.44–8.38)5.64 (3.59–8.84)20 (12.0)8.32 (4.91–14.09)8.58 (5.05–14.59)
PretermPreterm46 (1.0)26 (56.5)36.19 (19.72–66.40)38.24 (20.63–70.85)21 (45.7)37.88 (20.49–70.04)51.90 (27.28–97.71)
CI, confidence interval; OR, odds ratio; PTB, preterm birth (<37 weeks’ gestation); sPTB, spontaneous preterm birth. * Values reflect the results of multivariable logistic regression analysis to determine the association between prior preterm delivery and the risk for preterm delivery in the third delivery. Models are adjusted for maternal age, chronic hypertension, hypertensive disorders of pregnancy (gestational hypertension and preeclampsia) and small for gestational age status (birthweight <10th centile) at the third delivery.
Table
Table 3. The risk for spontaneous preterm birth in the third delivery stratified by history of spontaneous preterm births.
Table 3. The risk for spontaneous preterm birth in the third delivery stratified by history of spontaneous preterm births.
Study SubgroupsRisk for Spontaneous PTB (<37 Weeks)
in 3rd Delivery		Risk for Spontaneous PTB (<34 Weeks)
in 3rd Delivery
1st Delivery2nd DeliveryN (%)Rate of PTB
n (%)		Crude OR
(95% C.I)		Adjusted OR *
(95% C.I)		Rate of PTB
n (%)		Crude OR
(95% C.I)		Adjusted OR *
(95% C.I)
TermTerm4038 (90.3)65 (1.6)referencereference9 (0.2)referencereference
sPTDTerm75 (1.7)4 (5.3)2.14 (0.76–5.94)3.28 (1.15–9.33)1 (1.3)4.23 (0.55–32.59)6.33 (0.79–50.74)
TermsPTD87 (1.9)16 (18.4)9.56 (5.37–17.02)14.55 (7.98–26.53)1 (1.1)3.63 (0.47–27.91)5.18 (0.65–41.37)
sPTDsPTD15 (0.3)7 (46.7)34.58 (12.32–97.04)57.74 (20.21–164.95)1 (6.7)22.67 (2.79–184.28)31.41 (3.71–265.79)
CI. confidence interval; OR, odds ratio; PTB. preterm birth; sPTB, spontaneous preterm birth. * Values reflect the results of multivariable logistic regression analysis to determine the association between prior spontaneous preterm birth and the risk for spontaneous preterm birth in the third delivery. Models are adjusted for maternal age, chronic hypertension, hypertensive disorders of pregnancy (gestational hypertension or preeclampsia) and small for gestational age (birthweight < 10th centile) status at the third delivery.
Table
Table 4. The risk for spontaneous preterm birth in the third delivery stratified history of indicated preterm births.
Table 4. The risk for spontaneous preterm birth in the third delivery stratified history of indicated preterm births.
Study SubgroupsRisk for Spontaneous PTB (<37 Weeks)
in 3rd Delivery		Risk for Spontaneous PTB (<34 Weeks)
in 3rd Delivery
1st Delivery2nd DeliveryN (%)Rate of PTB
n (%)		Crude OR
(95% C.I)		Adjusted OR *
(95% C.I)		Rate of PTB
n (%)		Crude OR
(95% C.I)		Adjusted OR *
(95% C.I)
TermTerm4038 (90.3)65 (1.6)referencereference9 (0.2)referencereference
iPTBTerm146 (3.3)7 (4.8)1.93 (0.88–4.22)3.03 (1.35–6.77)1 (0.7)2.12 (0.27–16.26)3.31 (0.42–26.31)
TermiPTB80 (1.8)4 (5.0)1.99 (0.71–5.54)3.26 (1.15–9.21)0 (0)--
iPTBiPTB15 (0.3)5 (33.3)19.39 (6.52–57.68)32.91 (10.43–103.82)1 (6.7)22.67 (2.79–184.28)43.87 (4.91–391.83)
CI, confidence interval; iPTB, indicated preterm birth <37 weeks’ gestation; OR, odds ratio; * Values reflect the results of multivariable logistic regression analysis to determine the association between prior indicated preterm birth and the risk for spontaneous preterm birth in the third delivery. Models are adjusted for maternal age, chronic hypertension, hypertensive disorders of pregnancy (gestational hypertension or preeclampsia) and small for gestational age status (birthweight < 10th centile) at the third delivery.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hiersch, L.; Pasternak, Y.; Melamed, N.; Meshulam, M.; Shashar, R.; Hadar, E.; Aviram, A.; Yogev, Y.; Ashwal, E. The Risk of Preterm Birth in Women with Three Consecutive Deliveries—The Effect of Number and Type of Prior Preterm Births. J. Clin. Med. 2020, 9, 3933. https://doi.org/10.3390/jcm9123933

AMA Style

Hiersch L, Pasternak Y, Melamed N, Meshulam M, Shashar R, Hadar E, Aviram A, Yogev Y, Ashwal E. The Risk of Preterm Birth in Women with Three Consecutive Deliveries—The Effect of Number and Type of Prior Preterm Births. Journal of Clinical Medicine. 2020; 9(12):3933. https://doi.org/10.3390/jcm9123933

Chicago/Turabian Style

Hiersch, Liran, Yael Pasternak, Nir Melamed, Moshe Meshulam, Reut Shashar, Eran Hadar, Amir Aviram, Yariv Yogev, and Eran Ashwal. 2020. "The Risk of Preterm Birth in Women with Three Consecutive Deliveries—The Effect of Number and Type of Prior Preterm Births" Journal of Clinical Medicine 9, no. 12: 3933. https://doi.org/10.3390/jcm9123933

APA Style

Hiersch, L., Pasternak, Y., Melamed, N., Meshulam, M., Shashar, R., Hadar, E., Aviram, A., Yogev, Y., & Ashwal, E. (2020). The Risk of Preterm Birth in Women with Three Consecutive Deliveries—The Effect of Number and Type of Prior Preterm Births. Journal of Clinical Medicine, 9(12), 3933. https://doi.org/10.3390/jcm9123933

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop