Preeclampsia: hospital incidence, predictive factors, and maternal–fetal complications in a cohort of women followed in two Cameroonian referral hospitals
ValérieNdobo1,2✉Phone+237 681555997Email
MurielBogne1
PascaleMpono1,3
GuillaumeEbeneManon1,2
SiddikatouDjibrilla4,5
SylvieNdongo1,6
ChrisNadègeNganou-Gnindjio1,6
FélicitéKamdem4,7
JuliusDohbit1,8
JérômeBoombhi1,9
AgnèsEssiene1,2
FelixEssiben1,2
LilianeMfeukeuKuate1,2
ValerieNdobo10
1Faculty of Medicine and Biomedical SciencesUniversity of Yaoundé IYaoundéCameroon
2Central Hospital of YaoundéYaoundéCameroon
3Hospital Center Research And Application In Surgery Endoscopique And Human ReproductionYaoundéCameroon
4Faculty of Medicine and Pharmaceutical SciencesUniversity of DoualaDoualaCameroon
5Douala Laquintinie HospitalDoualaCameroon
6University Teaching Hospital of YaoundéYaoundéCameroon
7Douala General HospitalDoualaCameroon
8Gynecological, Obstetric And Pediatric Hospital of YaoundéYaoundéCameroon
9General Hospital of YaoundéYaoundéCameroon
10
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Lecturer in Internal Medicine, Faculty of Medicine and Biomedical SciencesUniversity of Yaoundé I) and Cardiologist (Yaoundé Central HospitalCameroon
Valérie Ndobo1,2*, Muriel Bogne1, Pascale Mpono1,3, Guillaume Ebene Manon1,2, Siddikatou Djibrilla4,5, Sylvie Ndongo1,6, Chris Nadège Nganou-Gnindjio1,6, Félicité Kamdem4,7, Julius Dohbit1,8, Jérôme Boombhi1,9, Agnès Essiene1,2, Felix Essiben1,2, Liliane Mfeukeu Kuate1,2
1 Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon.
2 Central Hospital of Yaoundé, Yaoundé, Cameroon.
3Hospital Center Research And Application In Surgery Endoscopique And Human Reproduction, Yaoundé, Cameroon
4Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon.
5 Douala Laquintinie Hospital, Douala, Cameroon
6 University Teaching Hospital of Yaoundé, Yaoundé, Cameroon.
7Douala General Hospital, Douala, Cameroon
8Gynecological, Obstetric And Pediatric Hospital of Yaoundé, Yaoundé, Cameroon
9General Hospital of Yaoundé, Yaoundé, Cameroon
*Corresponding Author:
Valerie Ndobo: Lecturer in Internal Medicine (Faculty of Medicine and Biomedical Sciences, University of Yaoundé I) and Cardiologist (Yaoundé Central Hospital) Cameroon. E-mail: ndobo86@gmail.com Tel: +237 681555997
Abstract
Background
Preeclampsia is a frequent cause of maternal–fetal morbidity and mortality, and remains difficult to control in sub-Saharan Africa. The aim of our study was to assess the incidence, describe maternal–fetal complications due to preeclampsia, and identify its predictive factors in a cohort of women followed in two referral hospitals in Yaoundé, Cameroon.
Methods
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We conducted a prospective study at the Yaoundé Central Hospital (HCY) and the Yaoundé Gyneco-Obstetric and Pediatric Hospital (HGOPY), in which we followed 146 pregnant women over a 10-month period. Univariable and multivariable logistic regressions were performed to identify predictive factors for preeclampsia.
Results
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The mean age of participants was 30.7 ± 5.7 years, and most were 20–34 years old (78%). The hospital incidence of preeclampsia during the study period was 31.5% (46/146). The most frequent maternal–fetal complications following preeclampsia were cesarean delivery (62/146; 42%) and prematurity (36/146; 25%). Independent predictors of preeclampsia were: a personal history of hypertension (aOR = 3.55; 95% CI 2.64–15.41; p < .001), WHO class I obesity (aOR = 4.19; 95% CI 1.47–15.69; p = .019), a history of preeclampsia (aOR = 4.31; 95% CI 1.23–17.2; p = .026), and gestational age < 34 weeks (vs ≥ 37 weeks: aOR = 6.08; 95% CI 2.30–18.96; p < .001).
Conclusion
Preeclampsia showed a high hospital incidence, with cesarean delivery and prematurity as frequent outcomes; it was independently predicted by a personal history of hypertension, WHO class I obesity, a history of preeclampsia, and gestational age < 34 weeks.
Keywords:
Preeclampsia
Maternal–fetal complications
Hospital incidence
Predictive factors
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1.Introduction
Preeclampsia (PE) is a major cause of maternal–fetal morbidity and mortality worldwide, affecting approximately 2–8% of pregnancies and contributing substantially to maternal deaths, particularly in low- and middle-income countries (LMICs) [13]. In LMICs, late access to antenatal care, diagnostic delays, and structural constraints within health systems exacerbate the disease burden and account for a large share of severe complications observed [46].
Clinically, PE is defined by the onset after 20 weeks’ gestation of hypertension, proteinuria, and maternal and/or utero-placental organ involvement, according to updated criteria from the International Society for the Study of Hypertension in Pregnancy and the American College of Obstetricians and Gynecologists, which also frame management and postpartum follow-up [2, 79]. Severe forms are associated with eclampsia, hemorrhage, placental abruption, and prematurity, while women with a history of PE face an increased long-term risk of cardiovascular disease and hypertension [1, 10]. Primary prevention with low-dose aspirin in high-risk women is recommended and supported by a growing body of literature, although implementation remains incomplete in many settings [8, 11, 12].
In sub-Saharan Africa, and in Cameroon in particular, multiple studies highlight the substantial contribution of hypertensive disorders of pregnancy (HDP) to mortality and admissions to intensive care, with often late diagnosis and unfavorable perinatal outcomes [6, 1315]. Concurrently, Cameroonian studies describe the persistence of hypertension after PE and identify local risk factors and clinical profiles that should guide risk stratification and the organization of care [1618]. In this context, estimating hospital incidence, documenting maternal–fetal complications, and identifying predictive factors for PE in Yaoundé, Cameroon, is essential to strengthen early screening, the use of aspirin in eligible women, and the optimization of delivery timing.
2. Materials and Methods
2.1. Study design and setting
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We conducted a prospective study at the Yaoundé Central Hospital (HCY) and the Yaoundé Gyneco-Obstetric and Pediatric Hospital (HGOPY), referral centers for obstetric and gynecologic care within the Cameroonian health system, located in the national capital, Yaoundé. The study spanned six months, from November 2024 to April 2025. We consecutively recruited pregnant women attending antenatal clinics or admitted to the obstetric units who provided written informed consent and had complete clinical data for the assessment of preeclampsia. Sociodemographic data were collected using a structured questionnaire validated by the research team. Anthropometric and physiological parameters (height, weight, BMI, blood pressure) were measured according to standardized procedures; routine laboratory tests (proteinuria, renal and liver function) and obstetric data (gestational age, maternal–fetal outcomes) were extracted from medical records. Yaoundé is a cosmopolitan city with substantial demographic diversity and a high inflow of referred patients, giving these hospitals a central role in the management of high-risk pregnancies in Cameroon.
2.2. Population, eligibility criteria, and recruitment
We consecutively included all pregnant women followed at HCY and HGOPY during the study period who had the required data for preeclampsia diagnosis and covariate assessment. A priori exclusions were incomplete records for the primary variable (preeclampsia: yes/no), for the main outcomes (maternal–fetal complications), and refusal of secondary use of clinical data or participant refusal. The final sample comprised 146 participants.
2.3. Variable definitions and data sources
Dependent variable (primary outcome): Preeclampsia was defined as hypertension ≥ 140/90 mmHg after 20 weeks’ gestation associated with proteinuria ≥ 300 mg/24 h (or equivalent) and/or maternal/utero-placental organ dysfunction, in accordance with the recommendations of the International Society for the Study of Hypertension in Pregnancy and the American College of Obstetricians and Gynecologists.
Maternal–fetal complications (secondary outcomes):
Eclampsia: severe complication of preeclampsia, characterized by generalized tonic–clonic seizures not attributable to another neurological cause, occurring during pregnancy, labor, or postpartum as a consequence of acute cerebral involvement secondary to generalized endothelial dysfunction, in a context of preeclampsia (hypertension + proteinuria and/or severe features), without a history of epilepsy or another cause (e.g., meningitis, tumor, hypoglycemia, etc.).
Cesarean delivery: surgical extraction of the fetus, placenta, and membranes from the uterine cavity via abdominal (laparotomy) and uterine (hysterotomy) incision.
Placental abruption (retroplacental hematoma): premature partial or total detachment of a normally inserted placenta occurring before fetal expulsion.
Prematurity: any live birth or stillbirth before 37 completed weeks of amenorrhea (i.e., before 259 days of gestation from the first day of the last menstrual period), categorized as extreme preterm < 28 weeks; very preterm 28–31 + 6 weeks; moderate preterm 32–33 + 6 weeks; late preterm 34–36 + 6 weeks. Term birth was defined as any live birth or stillbirth between 37 and 41 + 6 weeks.
Low birth weight: birth weight < 2,500 g regardless of gestational age.
Stillbirth: birth of an infant with no signs of life at ≥ 28 completed weeks of gestation (or ≥ 1,000 g), i.e., absence of breathing, heartbeat, pulsation of the umbilical cord, or voluntary movement.
Exposures (predictors):
Sociodemographic characteristics: age (years) and age groups (20–34; 35–39; ≥40), marital status (single, married, divorced, cohabiting), education (none, primary, secondary, higher), occupation (student, homemaker, unemployed, formal sector, informal sector).
- Obstetric/medical data: parity (0, 1, 2, 3, 4, 5), personal history of hypertension (yes/no), family history of hypertension (yes/no), history of preeclampsia (yes/no), gestational age at assessment (≥ 37 weeks; 34–36 weeks; <34 weeks), BMI (kg/m²), WHO obesity (yes/no) and WHO obesity class (underweight < 18.5; normal 18.5–24.9; overweight 25–29.5; class I obesity 30–34.5; class II 35–39.5; class III ≥ 40.0). Data were abstracted from clinical charts, hospitalization registers, and antenatal follow-up forms using a standardized, pre-coded case report form.
2.4. Measurements, data quality, and bias
Blood pressure was measured according to routine clinical procedures (patient at rest, appropriate cuff size) and confirmed by two measurements at least 4 hours apart; proteinuria was assessed by dipstick or 24-hour collection depending on service availability. The WHO BMI/obesity classification was applied using BMI calculated as weight (kg)/height² (m²). Double data entry checks were performed; obvious inconsistencies were verified against source records. To limit information bias, the operational definitions above were applied uniformly to all participants. Selection bias was reduced by consecutive inclusion of eligible patients throughout the study period.
2.5. Statistical analyses
Data were analyzed using R (version 4.5.1) and GraphPad Prism (version 8.4.2 for Windows). Categorical variables are presented as counts and percentages; continuous variables as mean ± standard deviation. The Wilcoxon rank-sum test (Mann–Whitney), Fisher’s exact test, and Pearson’s chi-squared test were used to compare or assess associations between characteristics, maternal–fetal complications, and the presence or absence of preeclampsia (Table 1, Table 2). The hospital incidence of preeclampsia was reported as a percentage (number of new preeclampsia cases diagnosed during the study period divided by the total number of women included in the cohort [n = 146] × 100) with a 95% confidence interval (Fig. 1). Univariable and multivariable logistic regressions were performed to identify predictors of preeclampsia in our sample; results are presented as crude odds ratios (cOR) and adjusted odds ratios (aOR) with 95% confidence intervals (Table 3). A two-sided alpha of 0.05 defined statistical significance for all tests (95% confidence level).
2.6. Handling of missing data and sensitivity analyses
Missing data on key exposure or outcome variables led to exclusion of the participant from the corresponding analysis (complete-case analysis). Where appropriate, “missing” categories were tested in sensitivity analyses for categorical variables to assess robustness of estimates (not shown if non-contributory), using the missing = "no" option of the tbl_summary() function in the gtsummary package.
2.7. Ethics
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The study was conducted in accordance with Cameroonian ethical regulations for human and medical research.
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Ethical approval was obtained from the Ethics Committee of the University of Yaoundé I (No. 0408/UY1/FSMB/VDRC/DAASR/ICSD/emr). Study objectives were explained to each participant in French and English (the two national languages of Cameroon) prior to obtaining consent.
3. Results
3.1. Hospital incidence of preeclampsia in the study population
The hospital incidence of preeclampsia during the study period was 31.5% (Fig. 1).
Fig. 1
Hospital incidence of preeclampsia during the study period
Click here to Correct
3.2. General characteristics of the study population
The mean age of the patients was 30.7 ± 5.7 years, and most were 20–34 years old (78%), lived in cohabiting relationships (76%), and had secondary or higher education (76%). In bivariate analyses, a history of preeclampsia was associated with current preeclampsia (7/11 vs 39/135; p = 0.37). Gestational age showed a strong association (p < .001): cases clustered at 34–36 weeks (36/46; 78%), whereas term ≥ 37 weeks was much less frequent among cases (8/46; 17%) (Table 1).
Table 1
general characteristics of the study population
 
Preeclampsia
 
Characteristics
Total
(N = 146)
No
(n = 100)
Yes
(n = 46)
P
Mean age ± sd (years)
30.7 ± 5.7
30.9 ± 5.6
30.3 ± 6.1
.3
Age group (years)
   
.4
≥ 40
15 (10%)
9 (6.2%)
6 (4.1%)
 
20–34
114 (78%)
77 (53%)
37 (25%)
 
35–39
17 (12%)
14 (9.6%)
3 (2.1%)
 
Marital status
   
.5
Single
31 (21%)
20 (14%)
11 (7.5%)
 
Divorced
4 (2.7%)
2 (1.4%)
2 (1.4%)
 
Married
87 (60%)
63 (43%)
24 (16%)
 
Cohabiting / Common-law union
24 (16%)
15 (10%)
9 (6.2%)
 
Education level
   
.5
None
4 (2.7%)
3 (2.1%)
1 (0.7%)
 
Primary
31 (21%)
18 (12%)
13 (8.9%)
 
Secondary
78 (53%)
54 (37%)
24 (16%)
 
Tertiary (higher)
33 (23%)
25 (17%)
8 (5.5%)
 
Occupation
   
.2
Student
19 (13%)
11 (7.5%)
8 (5.5%)
 
Homemaker
41 (28%)
31 (21%)
10 (6.8%)
 
Unemployed
12 (8.2%)
10 (6.8%)
2 (1.4%)
 
Formal sector
25 (17%)
19 (13%)
6 (4.1%)
 
Informal sector
49 (34%)
29 (20%)
20 (14%)
 
Parity
   
.2
0
54 (37%)
34 (23%)
20 (14%)
 
1
42 (29%)
30 (21%)
12 (8.2%)
 
2
23 (16%)
16 (11%)
7 (4.8%)
 
3
19 (13%)
16 (11%)
3 (2.1%)
 
4
4 (2.7%)
1 (0.7%)
3 (2.1%)
 
5
4 (2.7%)
3 (2.1%)
1 (0.7%)
 
Personal history of hypertension
   
.5
No
119 (82%)
83 (57%)
36 (25%)
 
Yes
27 (18%)
17 (12%)
10 (6.8%)
 
Family history of hypertension
   
.4
No
87 (60%)
62 (42%)
25 (17%)
 
Yes
59 (40%)
38 (26%)
21 (14%)
 
BMI(Kg /m²)
27.0 ± 4.9
27.0 ± 5.3
26.9 ± 4.0
> .9
WHO obesity
   
.2
No
104 (71%)
68 (47%)
36 (25%)
 
Yes
42 (29%)
32 (22%)
10 (6.8%)
 
Obesity class (WHO)
   
.4
Underweight
7 (4.8%)
6 (4.1%)
1 (0.7%)
 
Normal weight
46 (32%)
32 (22%)
14 (9.6%)
 
Obesity I
35 (24%)
26 (18%)
9 (6.2%)
 
Obesity II
7 (4.8%)
6 (4.1%)
1 (0.7%)
 
Overweight
51 (35%)
30 (21%)
21 (14%)
 
History of preeclampsia
   
.037
No
135 (92%)
96 (66%)
39 (27%)
 
Yes
11 (7.5%)
4 (2.7%)
7 (4.8%)
 
Gestational age
   
< .001
< 34 weeks' gestation
3 (2.1%)
1 (0.7%)
2 (1.4%)
 
≥ 37 weeks' gestation
106 (73%)
98 (67%)
8 (5.5%)
 
34–36 weeks' gestation
37 (25%)
1 (0.7%)
36 (25%)
 
Data are presented as frequencies (N, n) and percentages (%). P-values were obtained using the Wilcoxon rank-sum test, Fisher’s exact test, and Pearson’s chi-squared test to compare or assess associations between characteristics and the presence of preeclampsia. Statistical significance was set at p < 0.05
3.3. Maternal–fetal complications
The most frequent maternal–fetal complications were cesarean delivery (62/146; 42%) and prematurity (36/146; 25%). Eclampsia (3/146; 2.1%), placental abruption (retroplacental hematoma) (5/146; 3.4%), and stillbirth (3/146; 2.1%) were uncommon. Compared with women without preeclampsia, those with preeclampsia had slightly higher proportions of cesarean delivery (45.7% vs 41%), prematurity (28.3% vs 23%), placental abruption (6.5% vs 2%), and eclampsia (4.3% vs 1%), as well as a more frequent low birth weight (32.6% vs 19%); however, none of these differences reached statistical significance (all p ≥ 0.05), with a trend for low birth weight (p = .071) (Table 2).
Table 2
distribution of maternal–fetal complications among women with and without preeclampsia
 
Preeclampsia
Maternal–fetal complications
Total
(N = 146)
No
(n = 100)
Yes
(n = 46)
P
Eclampsia
   
.2
No
143 (98%)
99 (68%)
44 (30%)
 
Yes
3 (2.1%)
1 (0.7%)
2 (1.4%)
 
Cesarean section
   
.6
No
84 (58%)
59 (40%)
25 (17%)
 
Yes
62 (42%)
41 (28%)
21 (14%)
 
Placental abruption
   
.2
No
141 (97%)
98 (67%)
43 (29%)
 
Yes
5 (3.4%)
2 (1.4%)
3 (2.1%)
 
Prematurity
   
.5
No
110 (75%)
77 (53%)
33 (23%)
 
Yes
36 (25%)
23 (16%)
13 (8.9%)
 
Low birth weight
   
.071
No
112 (77%)
81 (55%)
31 (21%)
 
Yes
34 (23%)
19 (13%)
15 (10%)
 
Stillbirth
   
> .9
No
143 (98%)
98 (67%)
45 (31%)
 
Yes
3 (2.1%)
2 (1.4%)
1 (0.7%)
 
Data are presented as frequencies (N, n) and percentages (%). P-values were obtained using the Fisher’s exact test and Pearson’s chi-squared test to compare or assess associations between Maternal–fetal complications and the presence of preeclampsia. Statistical significance was set at p < 0.05
3.4. Predictive factors for preeclampsia in the study population
In multivariable analysis, independent predictors of preeclampsia were: a personal history of hypertension (aOR = 3.55; 95% CI 2.64–15.41; p < .001), WHO class I obesity (aOR = 4.19; 95% CI 1.47–15.69; p = .019), a history of preeclampsia (aOR = 4.31; 95% CI 1.23–17.2; p = .026), and gestational age < 34 weeks (vs ≥ 37 weeks: aOR = 6.08; 95% CI 2.30–18.96; p < .001) (Table 3)
Table 3
predictors determinant of preeclampsia
 
Preeclampsia
 
Univariate analysis
 
Multivariate analysis
Predictors of preeclampsia evaluated
No (n = 100)
Yes ( n = 46)
 
cOR
95% CI
P
 
ORa
95% CI
P
Age group (years)
     
.33
   
< .001*
≥ 40
9 (6.2%)
6 (4.1%)
 
1
   
1
  
20–34
77 (53%)
37 (25%)
 
0.72
0.24, 2.29
.56
 
0.88
0.02, 44.1
.94
35–39
14 (9.6%)
3 (2.1%)
 
0.32
0.06, 1.54
.17
 
0.13
0.00, 5.45
.24
Marital status
     
.61
   
.22
Single
20 (14%)
11 (7.5%)
 
1
   
1
  
Divorced
2 (1.4%)
2 (1.4%)
 
1.82
0.20, 16.9
.58
 
1.82
0.20, 16.9
.58
Married
63 (43%)
24 (16%)
 
0.69
0.29, 1.69
.41
 
0.69
0.29, 1.69
.41
Cohabiting / Common-law union
15 (10%)
9 (6.2%)
 
1.09
0.36, 3.31
.88
 
1.09
0.36, 3.31
.88
Education level
     
.49
   
.90
None
3 (2.1%)
1 (0.7%)
 
1
   
1
  
Primary
18 (12%)
13 (8.9%)
 
2.17
0.25, 46.6
.52
 
0.18
0.00, 17.2
.52
Secondary
54 (37%)
24 (16%)
 
1.33
0.16, 27.7
.81
 
0.32
0.00, 23.2
.65
Tertiary (higher)
25 (17%)
8 (5.5%)
 
0.96
0.10, 20.9
.97
 
0.37
0.00, 34.4
.70
Occupation
     
.21
   
.88
Student
11 (7.5%)
8 (5.5%)
 
1
   
1
  
Homemaker
31 (21%)
10 (6.8%)
 
0.44
0.14, 1.42
.17
 
0.87
0.05, 13.6
.92
Unemployed
10 (6.8%)
2 (1.4%)
 
0.28
0.04, 1.43
.15
 
3.00
0.11, 81.5
.51
Formal sector
19 (13%)
6 (4.1%)
 
0.43
0.11, 1.57
.21
 
0.58
0.02, 12.4
.73
Informal sector
29 (20%)
20 (14%)
 
0.95
0.32, 2.84
.92
 
1.13
0.06, 17.9
.93
Parity
     
.25
   
.82
0
34 (23%)
20 (14%)
 
1
   
1
  
1
30 (21%)
12 (8.2%)
 
0.68
0.28, 1.61
.38
 
0.54
0.06, 4.29
.55
2
16 (11%)
7 (4.8%)
 
0.74
0.25, 2.07
.58
 
0.73
0.07, 7.66
.79
3
16 (11%)
3 (2.1%)
 
0.32
0.07, 1.11
.10
 
1.68
0.16, 21.6
.67
4
1 (0.7%)
3 (2.1%)
 
5.10
0.61, 107
.17
 
1.45
0.02, 193
.88
5
3 (2.1%)
1 (0.7%)
 
0.57
0.03, 4.77
.63
 
0.11
0.00, 5.83
.31
Personal history of hypertension
     
.50
   
< .001*
No
83 (57%)
36 (25%)
 
1
   
1
  
Yes
17 (12%)
10 (6.8%)
 
1.36
0.55, 3.21
.49
 
3.55
2.64, 15.41
< .001*
Family history of hypertension
     
.38
   
.15
No
62 (42%)
25 (17%)
        
Yes
38 (26%)
21 (14%)
 
1.37
0.67, 2.78
.38
 
3.25
0.68, 21.8
.17
WHO obesity
     
.20
   
.20
No
68 (47%)
36 (25%)
        
Yes
32 (22%)
10 (6.8%)
 
0.59
0.25, 1.30
.21
 
0.59
0.25, 1.30
.21
Obesity class (WHO)
     
.30
   
< .001*
Underweight
6 (4.1%)
1 (0.7%)
        
Normal weight
32 (22%)
14 (9.6%)
 
2.63
0.40, 52.0
.39
 
0.11
0.00, 2.71
.17
Obesity I
26 (18%)
9 (6.2%)
 
2.08
0.30, 42.0
.52
 
4.19
1.47, 15.69
.019*
Obesity II
6 (4.1%)
1 (0.7%)
 
1.00
0.03, 29.5
> .99
 
8.25
0.12, 1,169
.35
Overweight
30 (21%)
21 (14%)
 
4.20
0.65, 82.4
.20
 
0.12
0.00, 3.57
.20
History of preeclampsia
     
.022*
   
.022*
No
96 (66%)
39 (27%)
 
1
   
1
  
Yes
4 (2.7%)
7 (4.8%)
 
4.31
1.23, 17.2
.026*
 
4.31
1.23, 17.2
.026*
Gestational age
     
< .001*
   
< .001*
≥ 37 weeks' gestation
1 (0.7%)
2 (1.4%)
 
1
   
1
  
< 34 weeks' gestation
98 (67%)
8 (5.5%)
 
0.04
0.00, 0.47
.012*
 
6.08
2.3, 18.96
< .001*
34–36 weeks' gestation
1 (0.7%)
36 (25%)
 
18.0
0.58, 605
0.069
 
0.03
0.00, 4.63
.18
Univariate and multivariate logistic regression analyses were performed to identify the predictors of preeclampsia. 95% CI = confidence interval at 95%, aOR = adjusted odds ratio, cOR = crude odds ratio. WHO : World Health Organization; *Statistically significant at P-value < .05
4. Discussion
Preeclampsia remains a major cause of maternal–fetal morbidity and mortality in resource-limited settings, where diagnosis may be delayed and access to specialized care is uneven, resulting in a high hospital burden and adverse perinatal outcomes. At HGOPY and HCY—referral centers that receive many complicated pregnancies—up-to-date local data were needed to inform screening, prevention, and the timing of delivery. In this context, our study aimed to estimate the hospital incidence of preeclampsia, to characterize associated maternal–fetal complications, and to identify independent predictive factors for its occurrence, in order to guide clinical and organizational strategies within the managing services.
The hospital incidence of preeclampsia (31.5%) (Fig. 1) observed in a sample of 146 women is among the highest compared with global average estimates (2–8%) and several syntheses on the topic in sub-Saharan Africa (4–5%). This incidence can be explained by the nature of recruitment across two referral centers that typically receive referred and more severe cases. In addition, potential differences in diagnostic definitions and the limited 6-month observation period may contribute to this figure. Guidelines from the International Society for the Study of Hypertension in Pregnancy and the American College of Obstetricians and Gynecologists emphasize that extending criteria beyond proteinuria (to include organ involvement) increases diagnostic sensitivity and may raise rates in specialized settings such as ours [2, 19]. Global analyses and meta-analyses place the burden of hypertensive disorders of pregnancy (HDP) at substantial levels, with marked regional heterogeneity [1, 20, 21]. In the Cameroonian context, hospital series such as those by Priso et al. (2015), Kaze et al. (2014), and Nganou-Gnindjio et al. (2021) have confirmed the heavy HDP load in intensive care and postpartum, which may partly explain our results [6, 16, 18].
The age distribution (mean ≈ 31 years, most participants aged 20–34) is typical of urban obstetric cohorts in Africa. Interpreting the baseline characteristics (Table 1), a personal history of preeclampsia showed a trend toward association with current preeclampsia. This aligns with findings by Meazaw et al. (2020) and Fox et al. (2019), which identify prior preeclampsia as a major risk factor [22, 23]. Gestational age is strongly linked to preeclampsia status: clustering at 34–36 weeks reflects obstetric decision-making for late-onset severe forms, whereas early-onset forms (< 34 weeks) are known for high perinatal morbidity [2, 24]. The absence of significant associations with marital status, education, occupation, or parity does not negate their contextual importance; it may reflect limited power, coarse categorization, or unadjusted confounding [23].
Cesarean delivery (42%) and prematurity (25%) were the main maternal–fetal complications in our cohort, with a slightly lower trend for low birth weight among participants with preeclampsia (15/34) compared with those without (19/34) (Table 2). These profiles are consistent with the literature linking preeclampsia to iatrogenic or spontaneous prematurity, low birth weight, and adverse perinatal outcomes [2527]. Eclampsia and placental abruption were uncommon in our sample but remain particularly feared in sub-Saharan Africa [14, 15]. The lack of statistical significance in our comparisons (p ≥ 0.05), despite clinically plausible differences, is likely due to the small sample size and wide confidence intervals—a well-documented phenomenon in single-setting series [19]. Finally, long-term consequences for mother and child justify postpartum surveillance: preeclampsia approximately doubles subsequent maternal cardiovascular risk [10, 28] and is associated with cardiometabolic vulnerabilities in offspring [29, 30].
Independent predictors reinforced the central role of the cardiometabolic background: personal history of hypertension (aOR = 3.55) supports the contribution of chronic hypertension, endothelial dysfunction, and atherogenic load to preeclampsia risk and related morbidity [23, 31]. WHO class I obesity (aOR = 4.19) fits a robust dose–response relationship between BMI and preeclampsia; multiple cohorts and meta-analyses show risk rising from overweight, with a gradient across obesity classes I to III [3236]. History of preeclampsia (aOR = 4.31) is a major determinant, consistent with syntheses on recurrence and risk stratification [22, 37]. Finally, gestational age < 34 weeks (aOR = 6.08) likely reflects the early-onset (placental) phenotype—more severe and rich in perinatal complications—which often prompts delivery before 34–37 weeks [2, 23]. These findings support low-dose aspirin prophylaxis in high-risk women [11] and close surveillance, particularly in our setting.
5. Strengths, limitations, and practical implications
Strengths include explicit diagnostic criteria, a prospective design, and multivariable analysis. Limitations include a modest sample size (wide 95% CIs), two-center recruitment, and limited power for rare outcomes (eclampsia, placental abruption). Practical implications include: targeting high-risk women (history of hypertension, prior preeclampsia, obesity), initiating low-dose aspirin at 12–16 weeks, optimizing follow-up (proteinuria/BP screening), and planning delivery timing according to disease severity and fetoplacental assessment.
6. Conclusion
In conclusion, among pregnant women followed at HCY and HGOPY, preeclampsia showed a high hospital incidence, with cesarean delivery and prematurity as the predominant maternal–fetal complications. It was independently associated with a personal history of hypertension, WHO class I obesity, a history of preeclampsia, and gestational age < 34 weeks. These findings support reinforced antenatal screening, low-dose aspirin in eligible women, rigorous weight and blood-pressure management, and appropriately timed delivery. Larger, longer-duration, and ideally multicenter studies are recommended to refine these estimates and guide resource allocation.
Declarations
Ethical Approval and Consent to Participate
The study was conducted in accordance with Cameroonian ethical regulations for human and medical research. Ethical approval was obtained from the Ethics Committee of the University of Yaoundé I (No. 0408/UY1/FSMB/VDRC/DAASR/ICSD/emr). Study objectives were explained to each participant in French and English (the two national languages of Cameroon) prior to obtaining consent
Consent for publication
Not applicable
A
Data Availability
The data used in this study can be made available upon request by the reviewers
Competing interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be interpreted as a potential conflict of interest.
A
Funding
The authors declare that the research was conducted without external funding.
A
Author Contribution
All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by **V.N.** , **M.B.** , **P.M.** , **G.E.M.** , **S.D.** , **S.N.** , **C.N. N.G** , **F.K.** , **J.D.** , **J.B.** , **A.E.** , **F.E.** , and **L.M.K.** The first draft of the manuscript was written by **V.N.** with substantial input from **M.B.** and **G.E.M.** All authors commented on previous versions of the manuscript and approved the final version.
Acknowledgements
We extend our thanks to all the patients who voluntarily agreed to participate in the study.
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Total Reference count: 37