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 CPN≥4 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
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.