Full Text

Research Article

Risk factors for Premature Rupture of Membranes in Two Regional Hospitals in West Region Cameroon: A Case-Control Study


Abstract

Objective: The aim of our study was to research the risk factors for PROM in pregnant women in the gynecology-obstetrics department of the Regional Annex Hospital of Dschang (HRAD) and the Regional Hospital of Bafoussam (HRB).

 

Methods: We conducted a case control study at the HRAD and HRB over a period of 3 months. All pregnant women who presented with a pregnancy complicated by PROM with a gestational age 28 weeks were included as cases and as controls the pregnant women at the same gestational age who did not present with PROM. Sampling was non-probability and non-exhaustive. The data were collected from a technical sheet and analyzed using the Statistical Package for Social Sciences (SPSS) version 20 software.

 

Results: On 554 deliveries recorded, we identified 61 cases of PROM, a prevalence of 11.01%. The risk factors identified were: residence in a rural area [ ORa =16.73; 95% CI (2.68-104.50), p =0.003], malaria in pregnancy [ ORa =13.47; 95% CI (2.14-84.95), p =0.009] in pregnancy. The achievement of at least 4 CPN [ RCa =0.04; 95% CI (0.002-0.72), p =0.029] was a protective factor for PROM.

 

Conclusion: The risk factors for PMR identified were residence in a rural area and malaria during pregnancy. Access must be placed on the prevention of these factors in the promotional aspect of prenatal contacts.

 

Keywords: Amniotic fluid, Fetal membranes, High-risk pregnancy, West Cameroon

1. Introduction

Pregnancy is a special physiological state that proceeds normally in most cases and spontaneously leads to normal delivery. However, unexpected events can disrupt its development and compromise the maternal -fetal prognosis. This is the case of premature rupture of membranes (PROM) which is a spontaneous rupture of the bag of waters (amnion and chorion) occurring before any start of labor1. It can occur at term, before term or post-term. Worldwide, the prevalence of PROM varies between 5 and 10% regardless of the term1. In France, the frequency of PROM varies between 3% before 37 weeks of amenorrhea (SA) and less than 1% after 37 weeks; Prematurity and intrauterine infection are the major complications of preterm PROM2. According to the American College of Obstetricians and Gynecologists (AGOG), preterm PROM complicates approximately 2-3% of all pregnancies in the United States3. In Canada, preterm premature rupture of membranes (PPROM) is a complication noted in approximately 3% of pregnancies4. In China and Thailand, the prevalences are 2.7% and 2.93%, respectively5,6. The pathogenesis of PROM is multifactorial, it can be due firstly to an increase in intra-amniotic pressure as in polyhydramnios , secondly to a congenital or acquired defect in the fetal membranes as in collagen diseases or smoking, thirdly to weakening of the membranes by enzymatic destruction in inflammatory or infectious processes, fourthly by direct trauma to the fetal membrane in the cervical canal in women with cervical incompetence.

 

In Africa, PROM is one of the main causes of prematurity and its frequency varies between 3 and 18%, in Congo 1.2%; in Mali 1.62%, in Burkina Faso 0.75%7-9. The risk factors are predominated by infections, multiple pregnancies, polyhydramnios, history of PROM and the most frequent complications are endometritis and chorioamnionitis with a poor prognosis for premature newborns7-9.

 
In Cameroon, RPM has a prevalence of approximately 6.2% in two university hospitals in the cities of Douala and Yaoundé10. PPROM, for its part, has a prevalence of 4.91% at the Bamenda regional hospital11. It is the second maternal complication in pregnancy, i.e. 1.6% at the Hospital Center for Research and Application in Endoscopic Surgery and Human Reproduction (CHRACERH)12. This is the first obstetric complication associated with obstetric referrals in Yaoundé13. Data on PROM in the West region of Cameroon are rare, which justifies our study whose objective was to identify the risk factors for premature rupture of membranes in two regional hospitals in West Cameroon.

 

2. Material and Methods

2.1. Type of study

We conducted a case-control study with prospective data collection.

 

2.2 Study sites

The study took place in the gynecology-obstetrics and prenatal consultation departments of the Regional Annex Hospital of Dschang and the Regional Hospital of Bafoussam. These are the third category hospitals of the health pyramid which have an adequate platform to take care of high-risk pregnancies.

 

2.3 Study period

The study took place from November 13, 2023 to February 13, 2024, i.e. over a period of 5 months.

2.4. Study population

2.4.1. Target population: All pregnant women received in these health facilities during the study period.

2.4.2 Source population: Pregnant women with a gestational age 28 weeks received in these hospitals during the study period.

 

2.4.3. Selection of participants:

·         The dependent variable was Premature Rupture of Membranes (PROM).

·         Independent Variables 

·         Sociodemographic variables: age of the pregnant woman, level of education, profession, place of residence, marital status, religion.

·         Toxicological variables linked to the lifestyle of pregnant women with regard to RPM : the concept of passive or active smoking, the concept of carrying heavy loads.

·         Variables: history of PROM, notion of cervico-isthmic gap, probable causes, number of prenatal contacts.

 

2.5. Sampling

2.5.1. Type of sampling: We used a non-probability and non-exhaustive sample.

 

2.5.2 Calculation of sample size: To assess the minimum sample size required for this study, we used the STATCALC function of the EPI info version 7 software. We used data from the study conducted by Nkwabong, et al10. By taking one case for two controls, after numerical application, we obtained a size of 61 cases for 122 controls.

 

2.6. Procedures

2.6.1. Administrative Procedure: After validation of the protocol by the directors and co-directors of the thesis, we submitted a request for research authorization to the FMSP of the University of Dschang which was accepted. Subsequently, we obtained authorization to conduct research in our various hospitals and ethical clearance from the Western Regional Ethics Committee for Research in Human Health (CRERSH).

 

2.6.2. Data collection

After obtaining the authorizations, we contacted the pregnant women. An explanation session on the purpose, procedure, advantages and disadvantages of participating in the study was carried out. Participants could then express any concerns they had. The informed consent form was submitted to them for careful reading, after which each participant was free to sign or not. We carried out the interview and the clinical examination, the information was collected using the pretested questionnaire.

 

2.7. Study variables

·         The dependent variable was Premature Rupture of Membranes (PROM).

·         Independent Variables 

o    Sociodemographic variables: age of the pregnant woman, level of education, profession, place of residence, marital status, religion.

o    Toxicological variables linked to the lifestyle of pregnant women with regard to RPM : the concept of passive or active smoking, the concept of carrying heavy loads.

o    Variables: history of PROM, notion of cervico-isthmic gap, probable causes, number of prenatal contacts.

 

2.8. Statistical analyzes

The data was collected through individual survey sheets from pregnant women. These data were then introduced into an input mask designed from the EPI-Info software, then extracted on Microsoft Excel 2016, then were coded and entered into the EPI info version 7.2 program for cleaning. They were subsequently exported to SPSS version 20 for additional analysis and reporting.

 

The quantitative variables were expressed as mean, standard deviation and in terms of number and percentage.

Simple frequencies, crosstabs, means and standard deviation were used in descriptive statistical analyzes to summarize participants' sociodemographic data. The association between RPM (dependent variable) and independent factors was investigated using binary logistic regression with 95% CI.

 

To further improve the analysis and adjust for confounding factors, variables with p values < 0.25 in the bivariate model were included in the multivariate model. P value < 0.05 was considered statistically significant. The fitness of the model will be measured using the Hosnmer and Lemeshow test, good fit measures and the Nagelkerke. The tests were entered using Microsoft Word. Fisher's test was used for comparison between categorical data and Student 's t test for numerical data. The results were presented in the form of tables and graphs.

 

2.10. Ethical considerations

After writing our study protocol, it was first submitted for validation to the Institutional Evaluation Committee of the Faculty of Medicine and Pharmaceutical Sciences of Dschang for institutional authorization. Research authorizations from the Directors of the HRAD and the HRB as well as ethical clearance from the Regional Ethics Committee for Human Health Research (ethical clearance N°988/25/10/2023/CE/CRERSH-OU/VP) were obtained before starting our study.

 

Our study was carried out in strict compliance with the principles of medical research. As an advantage, the participants benefited from awareness-raising on RPM. Thanks to this study, prevention strategies for PROM will be based on evidence.

 

3. Results

3.1. Sociodemographic risk factors

Regarding the distribution according to sociodemographic risk factors of cases and controls, residence in rural areas in Dschang and in urban areas in Bafoussam were statistically significant (Table 1).

 

Table 1: distribution of the study population according to socio-demographic characteristics.

Variables

Case

N=61

n(%)

Control

N=122

n(%)

OR (95% CI)

P

Age (in years)

<20

5 (50.00)

5 (50.00)

1

-

20 – 29

36 (34.60)

68 (65.4)

0.53 (0.14-2.0)

0.339

30 - 39

19 (28.40)

48 (71.6)

0.40 (0.10-1.50)

0.178

40

1 (50.00)

1 (50.00)

1.00 (0.05-20.8)

1,000

Marital status

Bride monogamous

11 (28.2)

28 (71.8)

1

-

Bachelor

19 (46.3)

22(53.7)

2.20(0.87 – 5.57)

0.165

Bride polygamous

1 (10.0)

9(90.0)

0.28(0.03 – 2.50)

0.152

Cohabitation

30 (32.3)

63(67.7)

1.21(0.53–2.76)

0.430

Level instruction

Superior

20(33.3)

40 (66.7)

1

-

Secondary

37(32.5)

77 (67.5)

0.96(0.49 – 1.87)

0.907

Primary

4(44.4)

5 (55.6)

1.6 (0.39 – 6.60)

0.517

Occupation

Official

7 (38.9)

11 (61.1)

1

-

Employee (private)

5 (25.0)

15 (75.0)

0.52 (0.13 – 2.10)

0.361

Self- employment

20 (28.2)

51 (71.8)

0.62 (0.21 – 1.81)

0.379

Student

10 (35.7)

18 (64.3)

0.87 (0.23 – 2.97)

0.828

Pupil

8 (66.7)

4 (33.3)

3.14 (0.68 – 14.50)

0.142

Household

11 (32.4)

23 (67.6)

0.75 (0.22 – 2.47)

0.638

Place of residence

Dschang urban

15 (16, 7)

75 (83.3)

1

-

Rural Dschang

12 (52.2)

11 (47.8)

5.46 (2.03 – 14.65)

<0.001

rural Bafoussam

 3(37.5)

5 (62.5)

3.00 (0.65 – 13.92)

0.523

Bafoussam urban

31 (50.0)

31 (50.0)

5.00 (2.37 – 10.53)

<0.001

 

3.2. Risk factors linked to the lifestyle of pregnant women

Concerning toxicological risk factors, tobacco consumption was a protective factor for RPM. There was no association between heavy lifting and RPM (Table 2).

 

Table 2: Distribution of the study population according to the lifestyle of pregnant women.

Variables

Case

N=61

n (%)

Control

N=122

n (%)

OR (95% CI)

P

Tobacco consumption during pregnancy

Yes

0, 0 (0,0)

0.0(0, 0)

-

-

No

61(33.0)

122(66.7)

0.23(0.11 - 0.48)

<0.001

Proximity to a close smoker

Yes

1 (100)

0.0 (0.0)

-

-

No

60.0(33.0)

122(67.0)

-

-

Concept of carrying heavy loads

No

41.0(29.7)

97.0 (70.3)

1

-

Yes

20.0(44.4)

25.0 (55.6)

1.89(0.95 – 3.78)

0.071

 

3.3. Obstetric risk factors

3.3.1. Factors related to current pregnancy: Regarding the current pregnancy history of cases and controls, having a notion of urinary infection, malaria and vaginal infection during pregnancy was statistically significant and associated with a high probability of PROM (Table 3).

 

Table 3: distribution of the study population according to the history of the current pregnancy,

Variables

Case

N=61

n (%)

Control

N=122

n (%)

OR (95% CI)

P

Type of pregnancy

Monafetale

54 (33.8 )

106 (66.2 )

1

-

Gemellar

7 (30.4 )

16 (69.6 )

0.86(0.33 - 2.21)

0.753

Metrorrhagia

No

52 (31.7)

112 (68.3)

-

-

Yes

9 (47.4)

10 (52.6)

1.94 (0.74 –5.06)

0.176

Urinary tract infection

 

 

 

 

No

45 (30.0)

105 (70.0)

1

-

Yes

16(48.5)

17(51.5)

2.20(1.02 – 4.73)

0.044

Malaria

 

 

 

 

No

45(27.8)

117(72.2)

1

-

Yes

16(76.2)

5(23.8)

8.32(2.88–4.73)

<0.001

Polyhydramnios

No

58(32.6)

120(67.4)

1

-

Yes

3(60.0)

2 (40.0)

3.106(0.51 – 19.09)

0.222

Malpresentation

No

58(32.6)

120(67.4)

1

-

Yes

3(60.0)

2 (40.0)

3.106(0.51 – 19.09)

0.222

Vaginal infection

No

50 (29.8)

118(70.2)

1

-

Yes

11 (73.3)

4 (26.7)

6.49 (1.97 – 21.36)

0.002

 

3.3.2. Factors related to gyneco-obstetric history: Concerning gyneco-obstetric history, having a history of abortion and premature rupture of membranes was statistically significant and associated with a high probability of PROM (Table 4).

 

Table 4: distribution of the study population according to gyneco-obstetric history.

Variables

Case

N=61

n(%)

Witnesses

N=122

n(%)

OR (95% CI)

P

Antecedent abortion

No

49(30.2)

9 (42.9)

1

-

Yes

12 (57.1)

109 (70.8)

3.08 (1.22 - 7.77)

0.018

History of premature delivery

No

57 (32.6)

118 (67.4)

1

-

Yes

4(50.0)

4(50.0)

2.01(0.50 – 8.58)

0.316

History of PROM

No

45(29.2)

109 (70.8)

1

-

Yes

16(55.2)

13 (44.8)

2.98(1.33 – 6.70)

0.008

History of cesarean section

No

56(33.3)

112 (66.7)

1

-

Yes

5 (33.3)

10 (66.7)

1 (0.33 – 3.07)

1,000

History of cervical incompetence

No

58 (32.2)

122 (57.8)

1

-

Yes

3 (100.0)

0 (0.00)

-

-

 

3.4. Risk factors for PROM after multivariate analysis and logistic regression

According to the multivariate analysis, residence in Dschang in a rural area and malaria during pregnancy were significantly at the RPM. On the other hand, the number of CPN4 was statistically significant and associated with a low risk of PROM (Table 5).

 

Table 5: Multivariate analysis and logistic regression.

Variables

RCa (95% CI)

p * adjusted

Place of residence

Dschang (Urban)

1

 

Dschang (Rural)

16.73(2.68−104.5 )

0.003

Bafoussam (Urban)

4.04(0.95−17.14)

0.059

Number of ANC* performed

 

 

< 4 (ref)

1

 

4

0.04(0.002-0.72)

0.029

Malaria in current pregnancy

No

1

 

Yes

13.47(2.14-84.95)

0.006

*P= P value; ANC: antenatal care

4. Discussion

4.1. Sociodemographic risk factors

During our study, profession was not associated with RPM. On the other hand, unemployed pregnant women had twice the risk of presenting PROM in the case control study by Chiegue, et al. conducted in the cities of Douala and Yaoundé in 2019 among 150 cases and 150 controls. This observation could be explained by a difference in the place of study. Indeed, there is a decline in employment in Cameroon and the majority of people residing in the cities of Douala and Yaoundé would be the most affected. On the other hand, in the Western region, particularly in Dschang and Bafoussam, women are self-employed14.

 

During our study, the strong point was to note that pregnant women residing in Dschang in a rural area had 5 times more risk of presenting PROM compared to those who resided in an urban area. This result has not been found in any study. On the other hand, this could be explained in our study by a low socio-economic level of pregnant women which could lead to poor monitoring of pregnancies and therefore to an increase in the risk of presenting PROM. Another explanation could be the fact that the Regional Annex Hospital of Dschang is a reference hospital in a small town very close to several rural areas allowing patients with obstetric complications like the RPM to get there easily.

 

Pregnant women residing in Bafoussam in an urban area were 5 times more likely to present with PROM compared to those who resided in an urban area. This result has not been found in any study. Furthermore, this could be due to the fact that the city of Bafoussam is a very large city and the HRB located in its heart is a reference hospital much more surrounded by urban areas, making it more accessible to the pregnant women who reside there. Another explanation could be the high cost of services in this hospital and the long distance for pregnant women residing in rural areas who would prefer to go to closer centers, thus reducing their attendance at reference hospitals in the event of an obstetric complication.

 

4.2. Lifestyle risk factors

Thus, not consuming tobacco during pregnancy was associated with a low risk of having PROM, according to the results of the bivariate analysis. Non-consumption of tobacco during pregnancy was therefore a protective factor for PROM. This result is similar to the findings of Workineh et al. after bivariate analysis in his study conducted in 2018 in southern Ethiopia which revealed that smoking was 17 times associated with RPM15. This result is explained by the fact that smoking promotes RPM through oxidative stress, modifying the collagen concentration by altering it. Furthermore, tobacco smoke brings superoxide ions, hydrogen peroxide and nitric oxide which cause damage to the collagen matrix or consumption of antioxidants.

 

4.3. Obstetric risk factors

Gestation 4-5 and parity 2-3 were significantly associated with a drop in RPM after bivariate analysis. Pregnancy 4-5 and parity 2-3 being protective factors for RPM. These results have not been found in any study, but we can justify them by the fact that the cervix of these pregnant women is more competent compared to that of large multiparous and maldigested women and therefore would prevent prolapse of the membranes. in the internal orifice of the dehiscent neck, causing focal alterations of the membranes.

 

Parity 4-5 was not associated with PROM in our study. On the other hand, Nkwabong, et al. in Cameroon in 2021 found an association with a 3 times elevated risk between RPM and parity 4-510. The type of pregnancy had no significant association during our study. This result is contrary to that of the cross-sectional study carried out in 2020 in Cameroon on 387 pregnant women by Pisoh et al. who found that pregnant women with multiple pregnancies were 5 times more likely to have PPROM11. Multiple pregnancy contributes to an increase in membrane tension and can lead to PROM. This difference could be explained by a difference in our sample size.

 

The number of CPN 4 was also a statistically significant independent factor associated with low risk of PROM after multivariate analysis. Thus, achieving CPN 4 during pregnancy was a protective factor for PROM. The same result was found in the cross-sectional study by Pisoh et al. conducted in Cameroon in 2020 on 387 pregnant women11. Tiruye, et al., after a systematic review and meta-analysis in Ethiopia, found that pregnant women who did not attend any prenatal consultation were 3 times more likely to present with PROM16. We explain this by the fact that good prenatal monitoring makes it possible to identify certain risk factors and take care of them quickly in order to prevent the occurrence of a possible PROM.

 

Pregnant women with a notion of urinary infection during pregnancy had twice the risk of presenting PROM in bivariate analysis. These results are similar to those of Pisoh et al in their cross-sectional study carried out in Cameroon on 387 pregnant women who found in bivariate analysis that pregnant women presenting with a notion of urinary infection during pregnancy had 24 times more risk of presenting PPROM11. These results can be explained by the fact that urinary infections are potential reservoirs of bacteria which pass through the vagina and ascend through the cervical canal to the membranes where they cause localized inflammation. Bacteria produce several proteolytic enzymes such as collagenase and gelatinase which can cause local weakening of membranes.

 

After multivariate analysis, pregnant women with a notion of malaria during pregnancy had 13 times more risk of presenting PROM than those who did not have it. These results have not been found in any study. These results are different from those of Nkwabong et al. in its case control study carried out in Cameroon on 255 pregnant women which did not find an association between malaria in pregnancy and PROM after multivariate analysis10. This difference can be explained by the fact that our study was carried out in one of the areas of high malaria endemicity. The poor prevention via the LLIN and the taking of Intermittent Preventive Treatment for the fight against malaria in our different study sites (TPI) would also increase the risk of malaria in pregnancy and therefore of PROM in our context.

 

Pregnant women with a notion of vaginal infection during pregnancy had a 6 times greater risk of presenting PROM after bivariate analysis. These results are similar to those of Pisoh et al. in Cameroon and Assefa et al. in Ethiopia who had respectively found risks 7 and 5 times more risk after bivariate analysis11,17. These results can be explained by the fact that the ascending invasion of pathogens from the internal opening of the cervix uterus to the local membranes of the fetus triggers the production of various hydrolytic enzymes, including endotoxins, proteases and inflammatory mediators. These enzymes act on the extracellular matrix of fetal membranes, initiating the hydrolysis process. Therefore, fetal membrane fragility may occur concurrently with decreased local surface tension and cause PROM.

 

Having a history of abortion was statistically significant and associated with a 12 times higher probability of having PROM after bivariate analysis. These same findings were made by Assefa et al. And Enjamo et al. in Ethiopia which respectively found a probability 3 and 4 times higher in pregnant women presenting with PROM13,18. These results can be explained by the fact that mechanical expansion during abortion procedures can disrupt the elasticity of the cervix which leads to scarring of the uterus as well as cervical insufficiency leading to RPM.

 

Having a history of PROM was statistically significant and associated with a 12 times higher probability of having PROM after bivariate analysis. These same findings were made by Assefa et al. And Enjamo et al. in Ethiopia; Chiegue et al. in Cameroon had respectively found probabilities 7; 6 and 5 times elevated to present an RPM after bivariate analysis17,18,14. This may be due to late treatment of genitourinary infections and a short cervix.

 

Having a history of preterm delivery was not statistically associated with PROM in our study. These results are contrary to those of Nkwabong, et al. Zhou, et al.; Lin, et al., respectively in Cameroon, China and Thailand, who found a significant association with risks 2; 3 and 3 times elevated between a history of preterm birth and PROM after bivariate analysis10,5,19. Indeed, certain cases of premature birth are linked to cervical incompetence. Rapid dilation of the internal os of the cervix can lead to protrusion of the fetal membranes into the cervical canal and can promote premature delivery. This difference could be explained by a difference in our sample size.

5. Conclusion

Residence in a rural area in Dschang and malaria during pregnancy are risk factors for PROM in our context while having 4 or more prenatal consultations was a protective factor for PROM. Strategies to prevent membrane rupture should focus on these identified factors.

 

6. Authors Contributions

·    Fouedjio Jeanne Hortence wrote the manuscript.
·    Taguimnang Zambou Ornéla Rachel wrote the protocol and analyzed the data.
·    Fouogue Tsuala Jovanny collected the data.
·    Fouelifack Ymele Florent and Kenfack Bruno corrected the manuscript.


Authors have no conflict of interest

Fundings statement: this research was funded by the authors

7. References

1.       Yasmina A, Barakat A. Premature rupture of membranes at term: prognostic factors and neonatal consequences. Pan Afr Med J, 2017;26: 68.

2.       Schmitz T, Sentilhes L, Lorthe E, et al. Premature rupture of membranes before term: recommendations for clinical practice from the CNGOF. Gynecology Obstetrics Fertil Senology, 2018;46(12): 998-1003.

3.       Prelabor Rupture of Membranes: ACOG Practice Bulletin, Number 217. Obstet Gynecol, 2020;135(3): 80‑97.

4.       Ronzoni S, Boucoiran I, Yudin MH, et al. Clinical guideline no. 430: Diagnosis and management of preterm premature rupture of membranes. J Obstet Gynecol Can, 2022;44(11): 1209-1225.

5.       Zhou Q, Zhang W, Xu H, et al. Risk factors for preterm premature rupture of membranes in Chinese women from urban cities. Int J Gynaecol Obstet, 2014;127(3): 254-259.

6.       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.

7.       Tshimanga G. Epidemiological, clinical profile and management of premature rupture of membranes cases from the central military hospital/Camp Kokolo. Online memory, 2015.

8.       Goita D. Maternal-fetal prognosis of premature rupture of membranes at the reference health center of commune V district of Bamako. bibliosante, 2022.

9.       Dembélé A, Ouédraogo I, Ouattara S, et al. Risk factors for premature rupture of membranes between 28 and 34 weeks of amenorrhea in a university hospital in Burkina. Sci Tech Sci Health, 2019;42(1): 57‑64.

10.    Nkwabong E, Djuidje IAF, Nguefack F, et al. Risk factors for premature rupture of membranes after twenty-eight complete weeks of gestation. Int J Pregnancy Child Birth, 2023;9(6): 165-168.

11.    Pisoh DW, Mbia CH, Takang WA, et al. Prevalence, Risk Factors and Outcome of Preterm Premature Rupture of Membranes at the Bamenda Regional Hospital. Open J Obstet Gynecol, 2021;11(3): 233‑251.

12.    Kasia JM, Ndoua CCN, Belinga E, et al. Les Pathologies Maternelles en Grossesse au CHRACERH. Health Sci Dis, 2020;21(4).

13.    Belinga E, Foumane P, Dohbit SJ, et al. Prognosis of obstetric referrals to the Gyneco-Obstetric and Pediatric Hospital of Yaoundé (HGOPY). Pan Afr Med J, 2017;28:301 .

14.    Chiegue NS, Njamen TN, Wabo B, et al. Risk Factors Associated with Early Preterm Premature Rupture of Membranes in Women with and without Early Preterm Premature Rupture of Membranes in Cameroon. Researchgate, 2023.

15.    Workineh Y, Birhanu S, Kerie S, et al. Determinants of premature rupture of membrane in Southern Ethiopia, 2017: case control study design. BMC Res Notes, 2018;11(1): 927.

16.    Tiruye G, Shiferaw K, Tura AK, et al. Prevalence of premature rupture of membrane and its associated factors among pregnant women in Ethiopia: A systematic review and meta-analysis. SAGE Open Med, 2021;9: 20.

17.    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.

18.    Enjamo M, Deribew A, Semagn S, et al. Determinants of Premature Rupture of Membrane (PROM) Among Pregnant Women in Southern Ethiopia: A Case-Control Study. Int J Womens Health, 2022;14: 455-466.

Lorthe E. Epidemiology, risk factors and child prognosis. RPC: premature rupture of membranes before CNGOF term. Gynecology Obstetrics Fertil Senology, 2018;46(12): 1004‑1021.