The study was conducted in Burkina Faso, in the Department of Obstetrics and Gynecology and Reproductive Medicine at the University Hospital Center of Bogodogo.

This was a descriptive-analytical study conducted over a 12-month period, from September 1, 2023, to August 31, 2024.

The study included all patients admitted to the Department of Obstetrics and Gynecology who presented with severe preeclampsia complicated by acute kidney injury during the study period.

All patients meeting the diagnostic criteria for severe preeclampsia complicated by acute kidney injury were included. Exclusion criteria were: history of chronic kidney disease and cases where serum creatinine levels or fetal outcomes were not documented.

Exhaustive sampling was performed, including all patients with severe preeclampsia complicated by acute kidney injury.

The dependent variable was an adverse fetal outcome. Independent variables included sociodemographic characteristics, clinical, laboratory, and therapeutic data.

Data were collected from consultation registers and patient medical records using a standardized data collection form. The research team collected the data personally. Laboratory results at admission were considered, including serum creatinine and blood urea, as well as any follow-up results if available.

Adverse fetal outcome was defined as either intrauterine fetal death or early neonatal death. Early neonatal death was defined, according to the WHO, as the death of a newborn occurring between birth and the seventh day of life [12]. Intrauterine fetal death was defined as the death of a fetus before complete expulsion or extraction of the fetus at a gestational age of ≥22 weeks of amenorrhea [13].

Acute kidney injury during pregnancy was defined according to the American College of Obstetricians and Gynecologists (ACOG) as any patient with severe preeclampsia presenting with a serum creatinine ≥ 97 µmol/L, without a history of pre-existing kidney disease, and in the absence of any other obvious cause of acute kidney injury [14][15]. The absence of prior kidney disease was verified through patient interviews and prenatal records, including baseline creatinine levels. The stages of acute kidney injury were classified according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria [16].

Preeclampsia was defined as the combination of hypertension (≥140/90 mmHg) and proteinuria (≥300 mg/24h or ≥2+ on dipstick) occurring after 20 weeks of gestation [2][11]. Severe preeclampsia was defined as preeclampsia with systolic blood pressure ≥ 160 mmHg and/or diastolic blood pressure ≥ 110 mmHg, or preeclampsia associated with severe signs or complications [17].

Data were entered using SPSS and exported to Stata for analysis. All analyses were performed with STATA 18. Continuous variables, such as age, were described using means and standard deviations and categorized into age groups. Categorical variables were presented as frequencies and proportions.

Univariate analysis was performed using the Chi-square test for categorical variables and the Student’s t-test for continuous variables. Multivariate analysis was then conducted using logistic regression to calculate adjusted odds ratios (ORs) with 95% confidence intervals (CIs) to identify independent factors associated with adverse fetal outcomes, with a significance level of P < 0.05. Variables with p-values < 0.20 in univariate analysis were included in the multivariate model.

Authorization for data collection was obtained from the authorities of the University Hospital Center of Bogodogo. The study was approved by the institutional ethics committee of the University Hospital Center of Bogodogo.

3.1.1. Sociodemographic Characteristics

The sociodemographic characteristics of the study population are presented in Table 1.

The mean age of the study population was 26 years ± 7.13 years. Housewives accounted for 62.5% of the participants. Forty patients (55.56%) resided in rural areas.

Table 1. Sociodemographic characteristics of the study sample (n = 72).

SD: Standard deviation.

3.1.2. Clinical and Biological Aspects

Table 2 summarizes the clinical and laboratory characteristics of the study population.

Table 2. Clinical and biological aspects of the study sample (n = 72).

Regarding medical history, 20.83% of the patients had a prior history of hypertension. At admission, 30 patients (41.66%) had a systolic blood pressure ≥ 180 mmHg. Half of the patients had urine dipstick proteinuria of more than 3 crosses (≥3+). In terms of severity, 62.5% presented with acute kidney injury classified as mild. The clinical and biological characteristics are presented in Table 2.

3.1.3. Maternal Complications and Therapeutic Interventions

Maternal complications and therapeutic interventions are summarized in Table 3.

In our study, HELLP syndrome was identified in 19% of cases. Two patients (2.78%) developed eclampsia. Placental abruption occurred in eight cases, representing 11.8% of the study population. Regarding management, 66 patients received magnesium sulfate according to the standard protocol in combination with parenteral antihypertensive therapy. Four patients (5.56% of the study sample) required dialysis.

Table 3. Maternal complications and therapeutic interventions.

Table 4 shows the fetal outcomes among patients with severe preeclampsia complicated by acute kidney injury. Regarding fetal outcomes, a favorable outcome was observed in 45 newborns, representing 62.5% of the cases, characterized by survival up to the 7th day of life. Conversely, an unfavorable fetal outcome was recorded in 27 cases (37.5%). Among these unfavorable outcomes, 17 cases (23.61%) corresponded to intrauterine fetal deaths, while 10 cases (13.89%) were early neonatal deaths occurring before the 7th day of life.

Table 4. Fetal outcomes among patients with severe preeclampsia complicated by acute kidney injury.

3.3.1. Univariate Analysis

SociodemographicFactors

Table 5 presents the sociodemographic factors associated with unfavorable fetal outcomes.

Table 5. Sociodemographic factors associated with perinatal mortality in acute kidney injury complicating severe preeclampsia: univariate analysis.

n: number.

In univariate analysis, maternal age was the only factor significantly associated with adverse fetal outcomes (see Table 5).

Clinical,Therapeutic,andLaboratory Factors

Table 6 summarizes the clinical, therapeutic, and laboratory factors associated with adverse fetal outcomes.

Table 6. Clinical, therapeutic, and laboratory factors associated with adverse fetal outcomes.

mmHg: millimeters of mercury; OR: odds ratio.

In the univariate analysis, systolic blood pressure, gestational age at admission, and hemoglobin level at admission were significantly associated with perinatal death.

Delivery within 24 hours of admission, as well as the use of magnesium sulfate and antihypertensive therapy, were not significantly associated with perinatal mortality (see Table 6).

3.3.2. Multivariate Analysis

The factors associated with adverse fetal outcomes in multivariate analysis are presented in Table 7.

Table 7. Factors associated with perinatal mortality in acute kidney injury complicating severe preeclampsia: multivariate analysis.

ORa: adjusted odds ratio; IC 95%: confidence interval (95%); WA: week of amenorrhea; mmHg: millimeters of mercury.

In the table above, a systolic blood pressure between 160 and 180 mmHg was associated with an 88% reduction in perinatal deaths compared to a blood pressure below 160 mmHg. The adjusted odds ratio was 0.12, with a 95% confidence interval (CI) of 0.01 - 0.80.

Prematurity was statistically associated with perinatal mortality. The earlier the gestational age, the higher the risk. Specifically, a gestational age at admission of less than 35 weeks increased the risk of adverse fetal outcomes by more than 19-fold, with an odds ratio of 19.5 (95% CI: 3.81 - 40.12, P = 0.0001).

Figure 1 illustrates the area under the curve (AUC) of the logistic regression model.

Figure 1. Area under the curve (AUC) of the logistic regression model for factors associated with perinatal mortality.

The discriminative performance of the multivariate logistic regression model was evaluated using an ROC curve. The area under the curve (AUC) was 0.85, indicating a good ability of the model to distinguish cases of perinatal death from favorable neonatal outcomes, with an approximate discrimination probability of 85%.

From a fetal perspective, we observed 62.5% live births and 37.5% perinatal deaths. These findings are comparable to those reported by Conti-Ramsden et al. in South Africa, who documented an adverse fetal outcome rate of approximately 38% in a study on acute kidney injury associated with preeclampsia [18]. Our results are also consistent with those of Patel et al., who reported in 2013 in India a perinatal mortality rate of 47.1% among patients with acute kidney injury during pregnancy [19].

However, our findings differ from those of Shalaby et al., who, in a 2022 systematic review, reported a perinatal mortality rate as high as 60% among pregnant women with acute kidney injury [6]. This discrepancy may be explained by methodological differences, particularly the inclusion by these authors of all cases of acute kidney injury occurring during pregnancy, regardless of etiology.

The study identified a significant obstetric maternal factor associated with perinatal mortality in patients with severe preeclampsia complicated by acute kidney injury. Multivariate analysis demonstrated that a gestational age of less than 35 weeks of amenorrhea was significantly associated with perinatal death. This finding may be explained by iatrogenic prematurity, often necessitated by the need for early delivery to preserve maternal life. The earlier the gestational age at delivery, the higher the risk of adverse outcomes. In our study, a gestational age of less than 35 weeks at admission increased the risk of perinatal death by more than 19-fold. Several authors have highlighted that prematurity and intrauterine growth restriction are the leading causes of perinatal mortality in this context [4][20]. Our findings are consistent with those of Ngwenya et al. in Zimbabwe (2017), who identified prematurity as the main determinant of perinatal mortality in severe preeclampsia [21]. Similarly, Paul Kiondo et al. in Uganda (2011) reported that pregnancies complicated by preeclampsia with a gestational age below 34 weeks were associated with high perinatal mortality. More broadly, Goldenberg et al. demonstrated that prematurity is the leading cause of neonatal mortality in low-resource settings, largely due to limited access to neonatal intensive care units [22].

Another factor identified in our study was systolic blood pressure. We found that a systolic blood pressure between 160 and 180 mmHg reduced the risk of perinatal death by 88% compared to blood pressure values < 160 mmHg or ≥180 mmHg.

This suggests a U-shaped relationship, where both excessively high blood pressure (>180 mmHg) and relatively lower levels (<160 mmHg) may be deleterious. This association likely reflects the severity of vascular and placental involvement. Severe hypertension may indicate advanced placental insufficiency, whereas an excessive or abrupt reduction in blood pressure may compromise uteroplacental perfusion, leading to fetal hypoxia and increased perinatal mortality.

In clinical practice, it is recommended to avoid rapid or excessive lowering of blood pressure in severe preeclampsia in order to prevent fetoplacental hypoperfusion [1][23]. Our findings are consistent with those of other authors. Indeed, Magee et al. emphasized that blood pressure reduction in severe preeclampsia should be gradual to avoid a sudden decrease in placental blood flow [24].

The retrospective nature of this study limits the accuracy and completeness of certain clinical data. Nevertheless, key parameters relevant to the study objectives were carefully considered in the analysis.