Submit manuscript...
International Journal of
eISSN: 2574-9889

Pregnancy & Child Birth

Research Article Volume 9 Issue 6

Risk factors for premature rupture of membranes after twenty-eight complete weeks of gestation

Elie Nkwabong,1 Ida Arlette Foko Djuidjie,2 Félicité Nguefack,3 Florent Fouelifack4

1Obstetrician & Gynecologist, Department of Obstetrics and Gynecology, University of Yaoundé I, Cameroon
2Department of Obstetrics and Gynecology, University of Douala, Cameroon
3Pediatrician, Department of Pediatrics, University of Yaoundé I, Cameroon
4Obstetrician & Gynecologist, Department of Obstetrics and Gynecology, University of Douala, Cameroon

Correspondence: E Nkwabong, Obstetrician & Gynecologist, Department of Obstetrics and Gynecology; Faculty of Medicine and Biomedical Sciences & University Teaching Hospital, University of Yaoundé I, Yaoundé, P.O. Box 1364 CHU Yaoundé, Cameroon, Tel (237) 699663843

Received: October 05, 2023 | Published: November 6, 2023

Citation: Nkwabong E, Djuidjie IAF, Nguefack F, et al. Risk factors for premature rupture of membranes after twenty-eight complete weeks of gestation. Pregnancy & Child Birth. 2023;9(5):165-168. DOI: 10.15406/ipcb.2023.09.00296

Download PDF

Abstract

Purpose: To identify the risk factors for premature rupture of membranes (PROM).

Materiel and methods: This case-control study was carried out between 1st February and 31st July 2021. Files of women who delivered after having PROM or not were examined. The main variables recorded included maternal age and parity, familial, medical and obstetrical histories, the presence or not of nuchal cord at delivery, gestational age at delivery, birth weight and sex of newborn. Fisher exact test, t-test and logistic regression were used for comparison. P<0.05 was considered statistically significant.

Results: Our frequency of PROM was 6.2% (94/1524 births). PROM occurred mostly at or after 37 weeks gestation (77.6%). Significant risk factors for PROM were 1st degree family history of PROM (aOR 31.36, 95%CI 2.57-382.11), fetal weight ≥4000g (aOR 14.78, 95%CI 2.72-80.20), cord round neck (aOR 6.36, 95%CI 1.17-34.66), past history of preterm delivery (aOR 3.42, 95%CI 1.02-11.52) and parity 4 or 5 (aOR 3.27, 95%CI 1.25-8.56).

Conclusion: Women with these risk factors should be well followed up during pregnancy, especially during the third trimester, to allow prevention, if not, early diagnosis of PROM.

Keywords:  premature rupture of membranes, risk factors, fetal macrosomia, nuchal cord entanglement, multiparity

Abbreviations

aOR, adjusted odds ratio; CI, confidence interval; COVID-19, coronavirus disease-2019; PAMG-1, placental α-microglobulin-1; PROM, premature rupture of membranes; SPSS, statistical package for social sciences; OR, odds ratio

Introduction

Premature rupture of membranes (PROM) is defined as the spontaneous tear of both the amnion and chorion before the beginning of uterine contractions.1 PROM affects about 5% to 10% of all births.2 It affects up to 13.7% of singleton deliveries in Ethiopia.3 PROM occurs mostly at term. When it occurs preterm as it is the case in about 30-40% of cases it is then called preterm PROM.2,4 It is a major concern in Obstetrics, given that it is associated with high risk of preterm deliveries when it occurs before term.5,6 Other complications of PROM include cord prolapse, cesarean section risk, neonatal infections and perinatal death.7,8

PROM is usually diagnosed under vaginal speculum examination in a woman not in labor. Direct observation of the cervix can reveal flow of amniotic fluid from the endocervical canal. In certain cases, the liquid flow is so small that some tests such as the placental α-microglobulin-1 (PAMG-1) assay or the Nitrazine test should be done to confirm the diagnosis.9,10 With regards to pathogenesis, there are four mechanisms that explain the occurrence of PROM. The first is an increased intra-amniotic pressure as seen in polyhydramnios, the second is congenital or acquired defects in the fetal membranes as seen in collagen diseases or smoking. The third mechanism is the lysis of fetal membranes proteins by enzymes produced by germs and the fourth is direct trauma of the fetal membranes within the cervical canal as seen in women with incompetent cervix.

The risk factors for PROM are probably not all known, given the scarcity of publications on the topic. Known risk factors for PROM are cervical incompetency, past history of PROM, smoking, polyhydramnios, fetal mal presentation, cervical infections, and multiple pregnancies.1,11 Smoking leads to decrease of collagen and proteins in membranes by increasing cadmium levels and decreasing the availability of Cu2+ for collagen synthesis in amnion mesenchymal cells.12

Some other risk factors might exist in our environment, given the higher incidence in developing world. Identifying the risk factors helps in the prevention of some cases of PROM. To the best of our knowledge, no study has evaluated the risk factors for PROM in our country, hence this study which aimed at seeking for such risk factors.

Methods

This case-control study was carried out between 1st February and 31st July 2021 in two University Teaching Hospitals. Files of women who delivered at ≥28th week’s gestation after having PROM were recruited as cases (group A). Those of two women who delivered immediately after each case without having PROM (intact fetal membranes noticed at four cm cervical dilatation) were recruited as controls (group B). Women who refused to participate to this study were excluded. A written informed consent was obtained from each woman or from their relatives. This study was approved by the two institutional ethics committees. The variables recorded on a pre-established questionnaire in both groups included maternal age and parity, familial, medical and obstetrical histories, number of gestations, number of antenatal visits, health care provider, gestational age at diagnosis of PROM (confirmed by an ultrasound scan performed before 20 weeks’ gestation), pathologies that occurred during pregnancy, fetal presentation, birth weight, presence or not of nuchal cord at delivery and sex of newborn.

The necessary minimum sample size was calculated as needing at least 73 cases of PROM, using the following formula13:  where Zα =1.96 corresponds to a type I error of 2.5%, Zβ =1.96 corresponds to a power of 97.5%, P0 the percentage of previous PROM amongst women with PROM (33.8%),14 P1 the percentage of previous PROM amongst women without PROM (6.2%)14 and P is (P0+P1)/2. To increase the power of our study, we then decided to recruit two controls for each case.

Data were analyzed using SPSS 26.0. Data of cases were compared to those of controls. Fisher's exact test was used to compare categorical variables and t-test to compare continuous variables. We used odds ratios (ORs) with their 95% confidence intervals (CIs) to present the comparison between the two groups. Logistic regression was used to control for confounders. P<0.05 was considered statistically significant.

Results

During the study period, we had a total of 94 PROMs out of 1524 deliveries performed, giving a PROM rate of 6.2%. A total of nine (9.6%) women were excluded because they refused to take part to this study. The 85 remaining women and 170 controls were recruited. Some sociodemographic and obstetrical variables are given in Table 1. PROM occurred between 28 and 44 weeks gestation with a mean of 38.4 ± 2.3 Amongst the 85 women with PROM, seven (8.2%) occurred before 32 weeks, five (5.9%) between 32 and ˂34 weeks, seven (8.2%) between 34 and ˂37 weeks gestation, 61 (71.8%) at term (37 to 42 weeks inclusive) and 5 (5.9%) post-term (˃42 weeks gestation). We found no significant differences between the two groups as concerns mean maternal ages and mean parities. We also observed no association between PROM and history of late abortion, placenta praevia and non-cephalic fetal presentation (Table 1). Women with less than four antenatal contacts were more exposed to PROM after univariate analysis (Table 1). As concerns fetal weights, women with fetal weight ˂2500 g or ≥4000 g were more exposed to PROM after univariate analysis (Table 2).  Table 3 shows significant risk factors for PROM after multivariate analysis.

Variables

Group A women (n=85) Mean ± SD (range)

Group B women (n=170) Mean ± SD (range)

OR

95% CI

P-value

Mother’s age (y)

28.2 ± 6.3 (17-42)

29.2 ± 7.0 (16-53)

-

-

0.268

Parity

2.4 ± 1.6 (0-7)

2.5 ± 1.8 (0-9)

-

-

0.665

1st degree family PROM

7 (8.2)

1 (0.6)

15.17

1.83-125.40

0.002

Past history of PROM

10 (11.8)

6 (3.5)

3.64

1.28-10.40

0.013

Past history of Preterm delivery

19 (22.4)

15 (8.8)

2.97

1.42-6.20

0.003

Past history of late abortion

11 (12.9)

17 (0.1)

1.34

0.60-3.00

0.305

Smoking (passive)

2 (2.4)

3 (1.8)

1.33

0.23-7.83

0.540

Pregnancies followed up by nurses

19 (22.4)

14 (8.2)

3.20

1.52-6.78

0.002

Multiple pregnancies

4 (4.7)

2 (1.2)

4.15

0.74-23.12

0.097

˂4 antenatal visits

19 (22.4)

10 (5.9)

4.60

2.03-10.43

˂0.001

Cervico-vaginitis*

9 (10.6)

1 (0.6)

20.01

2.49-160.79

˂0.001

Malaria in pregnancy

29 (30.1)

18 (10.6)

4.37

2.25-8.49

˂0.001

Placenta praevia

5 (5.9)

3 (1.8)

3.48

0.81-14.92

0.084

non-cephalic presentation

6 (7.0)

8 (4.7)

1.54

0.51-4.58

0.306

Male sex

35 (41.2)

88 (51.8)

0.79

0.59-1.07

0.072

Nuchal cord at delivery

13 (15.3)

3 (1.8)

10.05

2.78-36.35

˂0.001

Table 1 Some sociodemographic characteristics of the population under study
*Trichomonas vaginalis.
OR, Odds ratio; CI, Confidence interval; PROM, premature rupture of membranes.

Birth weight (g)

Group A women (n=85) N (%)

Group B women (n=170) N (%)

OR

95%CI

P-value

< 2500

11 (12.9)

8 (4.7)

3.01

1.16-7.79

0.020

2500- ˂3000

22 (25.9)

32 (18.8)

1.51

0.81-2.80

0.128

3000- ˂3500

33 (38.8)

92 (54.1)

0.54

0.32-0.91

0.015

3500- ˂4000

8 (9.4)

35 (20.6)

0.40

0.18-0.90

0.017

≥ 4000

11 (12.9)

3 (1.8)

8.27

2.24-30.53

˂0.001

Table 2 Birth weights distribution in the population under study
OR, Odds ratio; CI, Confidence interval.

Variables

OR

95%CI

P-value

aOR

95%CI

P-value

1st degree family PROM

15.17

1.83-125.40

0.002

31.36

2.57-382.11

0.007

Fetal weight ≥4000g

8.27

2.24-30.53

˂0.001

14.78

2.72-80.20

0.002

Cord round neck

10.05

2.78-36.35

˂0.001

 6.36

1.17-34.66

0.032

Past history of preterm delivery

 2.97

1.42-6.20

0.003

 3.42

1.02-11.52

0.047

Parity 4 or 5

 1.88

1.01-3.52

0.035

 3.27

1.25-8.56

0.016

Cervico-vaginitis

20.01

2.49-160.79

˂0.001

 8.01

0.60-106.73

0.115

˂4 antenatal visits

 4.60

2.03-10.43

˂0.001

 3.22

0.93-11.20

0.065

Malaria in pregnancy

 4.37

2.25-8.49

˂0.001

 2.30

0.84-6.37

0.107

Birth weight ˂2500 g

 3.01

1.16-7.79

0.020

 2.09

0.52-8.49

0.301

Past history of PROM

 3.64

1.28-10.40

0.013

 1.12

0.23-5.55

0.887

Pregnancy followed up by nurses

 3.20

1.52-6.78

0.002

 1.10

0.30-4.08

0.882

Table 3 Independent risk factors for premature rupture of membranes
OR, Odds ratio; CI, Confidence interval; aOR, adjusted odds ratio; PROM, premature rupture of membranes.

Discussion

Our rate of PROM was 6.2%. Risk factors for PROM were 1st degree family history of PROM, fetal weight ≥4000g, cord round neck, past history of preterm delivery and parity 4 or 5. We found no association between PROM and maternal age, parity, history of late abortion, number of antenatal visits, non-cephalic presentation, placenta praevia or birth weight ˂2500 g.  Our PROM rate is within the 5-10% rate found in the literature.2 PROM occurred mostly at term or post-term in our series (77.6%). This is explained by the fact that fetal membranes resistance decreases with increasing gestational age. First degree family history of PROM was a risk factor for PROM in our study. Fetal membranes resistance is reduced in some families, due to some hereditary connective tissue disorders, as observed in the USA where many inherited gene mutations have been identified.15 These hereditary disorders also include Marfan and Erler Danlos syndromes.15 Investigations should be carried out in such families to determine the type of hereditary disorders. Moreover, women from such families should be closely followed up during the third trimester.

Fetal macrosomia was another risk factor. This might be due to uterus overdistension with resultant increased intra-amniotic pressure, leading to PROM. Another explanation is the fact that fetal macrosomia is usually associated with advanced gestational age,16 and therefore with decreased fetal membranes resistance. The combination of these two mechanisms in fetal macrosomia can lead to PROM. Other studies are needed to confirm these findings.

Nuchal cord was another risk factor for PROM in our survey. Nuchal cord can be associated in certain cases with post-term, hence with diminished membranes resistance, given that post-term is a known risk factor for nuchal cord at delivery.17 More studies are needed to confirm and explain these findings. The adverse perinatal outcome observed with nuchal cord may be favored by PROM.

History of preterm birth was also a risk factor for PROM in our study. Preterm PROM can induce preterm birth as a result of the release of membranous prostaglandins. Some cases of preterm birth are related to incompetent cervix.5 Indeed, rapidly dilating cervical internal os might lead to protrusion of fetal membranes into the cervical canal, and might favor PROM, as observed in Thailand.2 This phenomenon might also explain why women of parity 4 and 5 were at risk of PROM in our survey. Indeed, we have observed in our daily practice some multiparous women with the cervix dilated up to 4 cm, without them being in labor.

We also found increased risk of PROM in multiple pregnancies (OR 4.15), even though it was statistically insignificant (P=0.097), attributable to uterus over-distension with increased intra-amniotic pressure. The lack of significance as concerns multiple pregnancies in our study is probably due to our small sample size since we had only six women with multiple gestations.

Cervico-vaginitis is a known risk factor for PROM.18,19 The enzymes produced by the germs or by monocytes/macrophages of the decidua (leucocyte elastase, matrix metalloproteinases) can lyse the fetal membranes proteins,20 which then rupture without the intra-amniotic pressure being increased. The lack of significance of cervico-vaginitis as a risk factor for PROM in our study (P=0.115) might be due to the fact that the infection was rapidly treated or might be due to our small sample size since we had only 10 women with documented cervical infections. Our limitations are firstly our small sample size attributed to the Covid-19 pandemic. Indeed, because of fear of being contaminated, only few women attended our hospitals Furthermore, our rate of PROM might be higher than what mentioned given that we recruited only cases with obvious endocervical flow of amniotic fluid. Therefore, similar studies with large sample sizes should be carried out to verify these findings.

Conclusion

PROM was more observed amongst women with 1st degree family history of PROM, fetal weight ≥4000g, cord round neck, history of preterm delivery and parity 4 or 5. Such women should be well followed up during pregnancy, especially during the third trimester, to allow prevention, if not, early diagnosis of PROM.

Acknowledgments

None.

Conflicts of interest

The authors have no conflicts of interest to declare.

References

  1. Diguisto C. Term prelabor rupture of membranes: CNGOF guidelines for clinical practice – definition, epidemiology, complications and risk factors. Gynecol Obstet Fertil Senol. 2020;48(1):19–23.   
  2. Sae–Lin P, Wanitpongpan P. Incidence and risk factors of preterm premature rupture of membranes in singleton pregnancies at Siriraj Hospital. J Obstet Gynaecol Res. 2019;45(3):573–577.
  3. Addisu D, Melkie A, Biru S. Prevalence of preterm premature rupture of membrane and its associated factors among pregnant women admitted in Debre Tabor General Hospital, North West Ethiopia: Institutional–based cross–sectional study. Obstet Gynecol Int. 2020;4034680.
  4. Samejima T, Yamashita T, Takeda Y, et al. Identifying the associated factors with onset of preterm PROM compared with term PROM – A retrospective cross–sectional study. Taiwan J Obstet Gynecol. 2021;60(4):653–657.
  5. Alavi A, Razmjoue P, Safari–Moradabadi A, et al. Maternal predictive factors for preterm birth: A case–control study in  Southern Iran. J Educ Health Promot. 2021;10:124.
  6. Chiossi G, Di Tommaso M, Monari F, et al. Neonatal outcomes and risk of neonatal sepsis in an expectantly managed cohort of late preterm prelabor rupture of membranes. Eur J Obstet Gynecol Reprod Biol. 2021;261:1–6.
  7. González–Mesa E, Blasco–Alonso M, Benítez MJ, et al. Obstetric and perinatal outcomes after very early preterm premature rupture of membranes (PPROM)–a retrospective analysis over the period 2000–2020. Medicina (Kaunas). 2021;57(5):469.
  8. Gahlawat V, Chellani H, Saini I, et al. Predictors of mortality in premature babies with respiratory distress syndrome treated by early rescue surfactant therapy. J Neonatal Perinatal Med. 2021;14(4):547–552.
  9. Elçi E, Güneş Elçi G, Sayan S. Comparison of the accuracy and reliability of the AmniSure, AMNIOQUICK, and AL–SENSE tests for early diagnosis of premature rupture of membranes. Int J Gynaecol Obstet. 2020;149(1):93–97.
  10. Liang DK, Qi HB, Luo X, et al. Comparative study of placental α–microglobulin–1, insulin–like growth factor binding protein–1 and nitrazine test to diagnose premature rupture of membranes: a randomized controlled trial. J Obstet Gynaecol Res. 2014;40(6):1555–1560.
  11. Jiang H, Lu C, Zhou J, et al. Cesarean section and pregnancy outcomes of preterm premature rupture of membranes under different fertility policies in China. Transl Pediatr. 2021;10(4):973–983.
  12. Sirak B, Mesfin E. Maternal and perinatal outcome of pregnancies with preterm premature rupture of membranes (pprom) at tikur anbessa specialized teaching hospital, Addis Ababa. Ethiopia. Ethiop Med J. 2014;52(4):165–172.
  13. Kieser M, Friede T. Re–calculating the sample size in internal pilot study designs with control of the type I error rate. Statist Med. 2000;19(7): 901­911.
  14. Assefa NE, Berhe H, Girma F, et al. Risk factors of premature rupture of membranes in public hospitals at Mekele city, Tigray, a case control study. BMC Pregnancy Childbirth. 2018;18(1):386.
  15. Anum EA, Hill LD, Pandya A, et al. Connective tissue and related disorders and preterm birth: clues to genes contributing to prematurity. Placenta. 2009;30(3):207–215.
  16. Nkwabong E, Nzalli Tangho GR. Risk factors for macrosomia. J Obstet Gynecol India. 2015;65(4):226–9.
  17. Nkwabong E, Ndoumbe Mballo J, Dohbit JS. Risk factors for nuchal cord entanglement at delivery. Int J Gynecol Obstet. 2018;141:108–112.
  18. Nguyen QHV, Le HN, Ton Nu VA, et al. Lower genital tract infections in preterm premature rupture of membranes and preterm labor: a case–control study from Vietnam. J Infect Dev Ctries. 2021;15(6):805–811.
  19. Yaseen S, Asghar S, Shahzadi I, et al. Ascertaining the prevalence of Group B Streptococcal infection in patients with preterm premature rupture of membranes: A cross–sectional analysis from Pakistan. Cureus. 2021;13(2):e13395.
  20. Gomez R, Romero R, Edwin SS, et al. Pathogenesis of preterm labor and preterm premature rupture of membranes associated with intraamniotic infection. Infect Dis Clin North Am. 1997;11(1):135–176.
Creative Commons Attribution License

©2023 Nkwabong, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.