Abstract
Background and Objectives: Pregnant women face an increased risk of experiencing negative consequences due to COVID-19 infection. Our study aimed to identify outcomes for both mothers and fetuses associated with COVID-19 during each trimester, as well as to identify post-COVID symptoms in this population. Materials and Methods: Among the total population, 14 females were infected during the first trimester, 25 during the second, and 66 during the third trimester. Weekly follow-ups were conducted until delivery. Seventy-five females (71.4%; 95% CI:26.9–115.9%) were admitted to the hospital secondary to COVID-19 infection. Maternal hospitalization was independently associated with COVID-19 severity (adjusted odds ratio (aOR) = 3.9; 95% CI: 1.6–9.2 at p = 0.002 relative to the reference group (mild infection)) and the presence of dyspnea at initial assessment (aOR = 6.9; 95% CI: 1.7–28.2 at p = 0.007 relative to nondyspneic patients). Results: The duration of hospitalization (mean ± SD) was higher in the third trimester than the first and second trimesters (10.1 ± 0.8 vs. 4.0 ± 1.2 days and 10.1 ± 0.8 vs. 6.2 ± 1.4 days, respectively, at p < 0.05). The number of maternal deaths in the third trimester was higher than in the first and second trimesters (16 (24.2%) vs. no deaths and 16 (24.2%) vs. 1 (4%) deaths, respectively, at p < 0.05). In terms of fetal outcomes, a good fetal condition was more likely if the mother was infected during the first trimester (92.9%) than the second (80%) or third trimesters (66.7%), but the difference was not significant. The percentage of preterm deliveries was insignificantly higher in the second trimester (16%) than the first (7.1%) and third (4.5%) trimesters. Conclusions: The most common post-COVID symptoms included persistent loss of smell, dry eyes, post-partum depression, knee pain, and myalgia. Post-COVID symptoms were more prevalent in patients infected during the third trimester. The adverse outcomes of COVID-19 infection for both mother and fetus were more severe in cases where the infection occurred during the third trimester compared to the second and first trimesters. Therefore, it is crucial to adhere to precautionary measures against COVID-19, prioritize vaccination, and provide comprehensive care for pregnant mothers.
Keywords: pregnancy, COVID-19, three trimesters, fetus, SARS-CoV-2, post-COVID syndrome
1. Introduction
The connection between COVID-19 and pregnancy was initially dismissed at the beginning of the pandemic [1,2]. However, recent research has shown that women who are pregnant or have just delivered babies are more vulnerable to the negative consequences of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection [3,4]. Pregnant women with COVID-19 infections faced an elevated risk of being hospitalized, intensive care unit (ICU) admission, mechanical ventilation, and premature birth, according to a previous study [5,6].
Changes in the immune system and physiology occur during pregnancy, raising the risk of COVID-19 infection in both the mother and the fetus [7]. From the beginning of the pandemic, more cases of maternal morbidity and mortality linked to the virus have been reported [8]. COVID-19 has the potential to cause obstetric complications such as preterm labor, miscarriage, pre-eclampsia, and fetal distress [9].
According to a study conducted in the United States in March 2020 on 43 hospitalized pregnant women, 30% of them needed to be admitted to the intensive care unit, 14% needed mechanical ventilation, and one of them died from COVID-19 [10]. In 2020, the COVID-19-related death rate amongst pregnant and postpartum women in Brazil achieved a milestone record of 12.7%, representing the greatest rate in the world [11].
Studies have revealed that in low- and middle-income developing countries, there are negative factors that increase the risk of COVID-19 infection among mothers. These factors include the insufficient distribution of human and physical resources, insufficient protective measures, increased rates of birth, and ineffective prenatal care [11,12,13].
As seen previously with SARS, pregnant women experienced higher rates of fetal loss, intrauterine growth restriction (IUGR), preterm delivery, and maternal death. A case–control study on SARS patients reported that pregnant patients had a worse prognosis and a worse clinical outcome than non-pregnant patients [14]. Pregnant women who have contracted MERS are also at increased risk of experiencing premature delivery, perinatal morbidity, and high maternal death rates [14].
While some investigations have examined the effects of COVID-19 throughout pregnancy, the majority of these studies were small case series from China that concentrated on third-trimester pregnant women [15]. Therefore, in order to direct treatment and avoid complications for pregnant women with COVID-19, more information is needed regarding the effects of the virus during the various trimesters of pregnancy. An increasingly recognized COVID-19 infection complication is post-COVID-19 syndrome, also referred to as long COVID [16,17]. Pregnancy makes it especially difficult to diagnose and treat post-COVID-19 syndrome. The most common symptoms of post-COVID-19 syndrome are shortness of breath, fatigue, and cognitive diminishing or ‘brain fog’ similar to symptoms often reported by women during normal pregnancy [18].
This study examined maternal and fetal outcomes associated with COVID-19 infection in the three trimesters and identified post-COVID syndrome in them. As far as we are aware, this is the biggest Egyptian study to date.
2. Materials and Methods
2.1. The Study Design
A cohort study was conducted between December 2021 and May 2022, involving 105 pregnant women who presented with COVID-19 infection at the obstetrics and gynecology clinic. The study protocol received approval from the Research Ethical Committee of Beni-Suef University and was implemented at Beni-Suef University Hospital in adherence to the Helsinki Declaration, and written informed consent was obtained from all participants. Among the total patients, 14 were in the first trimester, 25 in the second trimester, and 66 in the third trimester. Laboratory confirmation of SARS-CoV-2 infection was achieved using reverse transcription polymerase chain reaction (RT-PCR) for all patients. Treatment for COVID-19 followed the guidelines of both the World Health Organization (WHO) and the Egyptian protocol.
Pregnant women aged 18 years or older who were positive for COVID-19 as confirmed by RT-PCR test were included in the study, while women with chronic medical disorders or who were less than 18 years old were excluded from the study.
2.2. Sampling Techniques
The analysis involved examining data collected from pregnant women following the confirmation of their COVID-19 infection. The samples obtained for analysis included blood and nasal swabs. Fetal monitoring through ultrasound and Doppler was conducted during pregnancy, and the Apgar score was assessed after delivery.
Data Collection
Information was gathered from the patients, encompassing the following aspects:
The demographic and clinical parameters of the participants;
Evaluation of the impact of COVID-19 infection during different trimesters on mothers and the identification of post-COVID symptoms;
Assessment of the effects of COVID-19 infection on the fetus during the different trimesters.
The clinical parameters were specifically compiled to identify maternal and fetal outcomes associated with COVID-19 infection across the three trimesters and to detect post-COVID syndrome.
2.3. Statistical Analysis
Descriptive analysis was performed, with continuous variables presented as the mean ± SD and categorical variables expressed as the number of cases and percentage values. The normal distribution of continuous variables was assessed using the Kolmogorov–Smirnov and Shapiro–Wilk tests. Differences in baseline demographic data and clinical parameters among the three trimesters were evaluated using the Kruskal–Wallis H test, followed by the Mann–Whitney U test for continuous variables. The chi-square test was employed to determine differences in categorical data among the different trimesters. Statistical significance was defined as p < 0.05. Multiple logistic regression models were used to examine the risk factors for important study outcomes (maternal hospitalization and complications). Only risk factors with a p value < 0.20 in the univariable analysis were included in the multivariable analyses for each binary outcome. Logistic regression with backward stepwise selection was used to choose risk factors for each multivariable model. A significance level of 0.20 was required to allow a risk factor into the model, and a significance level of 0.20 was required for a risk factor to stay in the model. All statistical analyses were carried out using SPSS v17.0 (SPSS, Chicago, IL, USA).
3. Results
3.1. Participants’ Demographics and Clinical Parameters
A total of 105 pregnant women were enrolled in the study, with an average age of 27.9 ± 6.5 years (mean ± SD). The duration of pregnancy, measured in weeks, averaged 28.4 ± 9.9. The mean Total Leukocyte Count (TLC) and Hemoglobin were 12.2 ± 6.9 and 10.1 ± 1.4, respectively. A majority of the participants (88.6%) experienced lymphopenia. The mean Serum Ferritin, C-Reactive Protein (CRP), and serum creatinine were 360.5 ± 310.4, 89.3 ± 103.9, and 1.1 ± 0.4, respectively. A significant portion of the participants (76.2%) had elevated D-dimer levels. Among all participants, 13.3% were diagnosed with gestational diabetes. The majority of participants reported suffering from moderate (40%) and mild (31.4%) COVID-19 infections. Regarding COVID-19 symptoms, fever (98.1%), cough (78.1%), and dyspnea (46.7%) were the most commonly reported.
Detailed demographic and clinical parameters and the symptoms of the participants are presented in Table 1 and Table 2.
Table 1.
Baseline demographic and clinical parameters are represented as mean ±SD or n (%).
| Total Population (n = 105) |
First Trimester (n = 14) |
Second Trimester (n = 25) |
Third Trimester (n = 66) |
p-Value | |||
|---|---|---|---|---|---|---|---|
| 1st vs. 2nd Trimester | 2nd vs. 3rd Trimester | 1st vs. 3rd Trimester | |||||
| Age (years) | 27.9 ± 6.5 | 23.7 ± 1.5 | 24.2 ± 1.1 | 30.2 ± 0.7 | 0.837 | <0.001 | 0.001 |
| Duration of pregnancy (weeks) | 28.4 ± 9.9 | 10.3 ± 0.7 | 20.9 ± 0.8 | 35.1 ± 0.4 | <0.001 | <0.001 | <0.001 |
| TLC (X109/L) | 12.2 ± 6.9 | 10.6± 1.5 | 11.5 ± 0.9 | 12.8 ± 0.9 | 0.461 | 0.772 | 0.329 |
| Lymphocyte count | 0.916 | 0.058 | 0.086 | ||||
| Normal level | 11 (10.5%) | 3 (21.4%) | 5 (20%) | 3 (4.5%) | |||
| Low level | 93 (88.6%) | 11 (78.6%) | 20 (80%) | 62 (94%) | |||
| High level | 1 (0.9%) | - | - | 1 (1.5%) | |||
| Hemoglobin (mg/dL) | 10.1 ± 1.4 | 10.9 ± 0.3 | 10.5 ± 0.3 | 9.8 ± 0.2 | 0.359 | 0.016 | 0.006 |
| Serum ferritin (ng/mL) | 360.5 ± 310.4 | 198.7 ± 56.3 | 399.9 ± 64.7 | 379.8 ± 38.9 | 0.101 | 0.845 | 0.057 |
| Serum creatinine (mg/dL) | 1.1 ± 0.4 | 0.95 ± 0.08 | 1.02 ± 0.05 | 1.16 ± 0.06 | 0.292 | 0.528 | 0.142 |
| CRP (mg/L) | 89.3 ± 103.9 | 116.1 ± 45.3 | 56.6 ± 14.9 | 95.9 ± 11.6 | 0.385 | 0.004 | 0.284 |
| D-dimer level | 0.440 | 0.094 | 0.828 | ||||
| Normal | 2 (1.9%) | - | 1 (4%) | 1 (1.5%) | |||
| Low | 23 (21.9%) | 3 (21.4%) | 9 (36% | 11 (16.7%) | |||
| High | 80 (76.2%) | 11 (78.6%) | 15 (60%) | 54 (81.8%) | |||
| SGPT | 0.277 | 0.063 | 0.032 | ||||
| Normal | 86 (81.9%) | 14 (100%) | 23 (92%) | 49 (74.2%) | |||
| High | 19 (18.1%) | - | 2 (8%) | 17 (25.8%) | |||
| Comorbidities | 0.278 | 0.756 | 0.779 | ||||
| Hypertension | 10 (9.5%) | 1 (7.1%) | 2 (8%) | 7 (10.6%) | |||
| Chronic diabetes | 10 (9.5%) | - | 4 (16%) | 6 (9.1%) | |||
| Bronchial asthma | 2 (1.9%) | - | - | 2 (3%) | |||
| Hyper-parathyroidism | 2 (1.9%) | - | - | 2 (3%) | |||
| RA | 1 (0.95%) | - | - | 1 (1.5%) | |||
| SLE | 3 (2.9%) | - | - | 3 (3%) | |||
| Gestational diabetes | 14 (13.3%) | 1 (7.1%) | 6 (24%) | 7 (10.6%) | 0.188 | 0.103 | 0.695 |
| Other co-existing infections | - | 0.735 | 0.0889 | ||||
| UTI | 1 (0.95%) | - | - | 1 (1.5%) | |||
| Skin infection | 2 (1.9%) | - | - | 2 (3%) | |||
| CNS infection | 1 (0.95%) | - | - | 1 (1.5%) | |||
| Encephalitis | 1 (0.95%) | - | - | 1 (1.5%) | |||
| Severity of COVID infection | |||||||
| Mild | 33 (31.4%) | 8 (57.1%) | 10 (40%) | 15 (22.7%) | 0.564 | 0.108 | 0.031 |
| Moderate | 42 (40%) | 4 (28.6%) | 11 (44%) | 27 (40.9%) | 0.389 | ||
| Severe | 30 (28.6%) | 2 (14.3%) | 4 (16%) | 24 (36.4%) | 0.109 | ||
| Chest imaging | |||||||
| Co-RADS infiltration > 50 % | 36 (34.3%) | 0/14 (0%) | 4 (16%) | 32 (48%) | 0.274 | 0.007 | 0.001 |
Abbreviations: TLC, total leukocyte count; CRP, C-Reactive Protein; SGPT, serum glutamate pyruvate transaminase; RA, rheumatoid arthritis; SLE, systemic lupus erythematosus; UTI: urinary tract infection; Co-RADS: COVID19 reporting and data system.
Table 2.
COVID-19 symptoms are represented as mean ±SD or n (%).
| Total Population (n = 105) |
First Trimester (n = 14) |
Second Trimester (n = 25) |
Third Trimester (n = 66) |
p-Value | |||
|---|---|---|---|---|---|---|---|
| 1st vs. 2nd Trimester | 2nd vs. 3rdTrimester | 1st vs. 3rd Trimester | |||||
| Symptoms | 0.076 | ||||||
| Fever | 103 (98.1%, 95% CL: 46–149%) | 13 (92.9%) | 24 (96%) | 66 (100%) | 0.102 | 0.029 | |
| Cough | 82 (78.1%, 95% Cl: 31–125.2%) | 10 (71.4%) | 16 (64%) | 56 (84.8%) | 0.029 | 0.23 | |
| Dyspnea | 49 (46.7%, 95% CL: 13.7–79.8%) | 2 (14.3%) | 8 (32%) | 39 (59.1%) | 0.021 | 0.002 | |
| Loss of smell | 5 (4.8%, 95% CL: 1.8–11.3) | 1 (7.1%) | 2 (8%) | 2 (3%) | 0.302 | 0.462 | |
| Malaise | 13 (12.4%, 95% CL: 0.2–25%) | 2 (14.3%) | 2 (8%) | 9 (13.6%) | 0.462 | 0.949 | |
| Headache | 6 (5.7%, 95% CL: 1.7–13.1%) | 2 (14.3%) | 2 (8%) | 2 (3%) | 0.302 | 0.079 | |
| Muscle pain | 2 (1.9%, 95% CL: 0.2–5.6%) | - | 2 (8%) | - | 0.020 | - | |
| Convulsions | 1 (0.95%, 95% CL: 0.47–3.3) | - | - | 1 (15.1%) | 0.536 | 0.643 | |
3.2. Effect of COVID-19 Infection at Different Trimesters on Mother
Admission rates to the hospital were 50%, 52%, and 83.3% for the first, second, and third trimesters, respectively. The average admission durations (mean ± SD) were 4 ± 1.2, 6.2 ± 1.4, and 10.1 ± 0.8 for the first, second, and third trimesters, respectively.
The need for mechanical ventilation was 0%, 12%, and 27.3% for the first, second, and third trimesters, respectively. However, the rates of patients requiring supplemental oxygen therapy were 42.9%, 48%, and 66.7% for the first, second, and third trimesters, respectively. Respiratory distress complications were prevalent in 35.7%, 24%, and 65.2% of patients for the first, second, and third trimesters, respectively.
The fetal loss occurred in 7.1% of first-trimester infected women, 16% of second-trimester infected women, and 3% of third-trimester infected women. Complications such as accidental hemorrhage, vaginal hematoma, retroplacental hematoma, broad ligament hematoma, endometriosis, convulsions, wound infection, and pulmonary edema were observed in third-trimester infected women. Pregnancy continued to full term in 92.9%, 80%, and 15.2% of patients in the first, second, and third trimesters, respectively.
Regarding post-COVID syndrome, persistent loss of smell was found in 12.4% of participants, while dry eyes and sexual dysfunction were found in 6.7% of all participants. Post-partum depression was observed in 10.6% of third-trimester infected women, and myalgia was found in 5.7% of all participants. Nearly, a quarter of the third trimester infected women died.
The effect of COVID-19 infection at different trimesters on the mother is presented in Table 3.
Table 3.
Effect of COVID infection at different trimesters on mothers represented as n (%).
| Total Population (n = 105) |
First Trimester (n = 14) |
Second Trimester (n = 25) |
Third Trimester (n = 66) |
p-Value | |||
|---|---|---|---|---|---|---|---|
| 1st vs. 2nd Trimester | 2nd vs. 3rd Trimester | 1st vs. 3rd Trimester | |||||
| Hospitalization | 75 (71.4%) | 7 (50%) | 13 (52%) | 55 (83.3%) | 0.905 | 0.002 | 0.007 |
| Admission period | 8.4 ± 6.9 | 4 ± 1.2 | 6.2 ± 1.4 | 10.1 ± 0.8 | 0.369 | 0.024 | 0.002 |
| Supplemental oxygen therapy | 62 (59%) | 6 (42.9%) | 12 (48%) | 44 (66.7%) | 0.757 | 0.102 | 0.095 |
| Mechanical ventilation | 21 (20%) | - | 3 (12%) | 18 (27.3%) | 0.177 | 0.123 | 0.026 |
| Complications | 0.435 | 0.094 | |||||
| Respiratory distress | 55 (52.4%) | 5 (35.7%) | 6 (24%) | 43 (65.2%) | 0.001 | ||
| CNS complications | 1 (0.95%) | - | - | 1 (1.5%) | 0.536 | ||
| Number of miscarriages or fetal losses | 7 (6.7%) | 1 (7.1%) | 4 (16%) | 2 (3%) | 0.427 | 0.026 | 0.462 |
| Number of preterm labors | 8 (7.6%) | 1 (7.1%) | 4 (16%) | 3 (4.5%) | 0.427 | 0.067 | 0.685 |
| Obstetric complications and accidental finding | 0.536 | 0.443 | |||||
| Chorioamnionitis and ROM | 1 (0.95%) | - | 1 (4%) | - | 0.448 | ||
| Accidental hemorrhage | 1 (0.95%) | - | - | 1 (1.5%) | - | ||
| Vaginal hematoma | 1 (0.95%) | - | - | 1 (1.5%) | - | ||
| Retroplacental hematoma | 8 (7.6%) | 1 (7.1%) | 1 (4%) | 6 (9.1%) | 0.669 | ||
| Broad ligament hematoma | 1 (0.95%) | - | - | 1 (1.5%) | - | ||
| Endometriosis | 3 (2.9%) | - | 1 (4%) | 2 (3%) | 0.448 | ||
| Post-partum hemorrhage | 17 (16.2%) | 4 (28.6) | 1 (4%) | 12 (18.1%) | 0.028 | ||
| Convulsions | 1 (0.95%) | - | - | 1 (1.5%) | - | ||
| Wound infection | 4 (3.8%) | - | 1 (4%) | 3 (4.5%) | 0.448 | ||
| Pulmonary edema | 1 (0.95%) | - | - | 1 (1.5%) | - | ||
| Delivery | 0.682 | ||||||
| Continued pregnancy | 43 (41%) | 13 (92.9%) | 20 (80%) | 10 (15.2%) | <0.001 | <0.001 | |
| Vaginal delivery | 15 (14.3%) | - | 1 (4%) | 14 (21.2%) | 0.048 | 0.058 | |
| Cesarean section | 38 (36.2%) | - | - | 38 (57.6%) | <0.001 | <0.001 | |
| Hysterotomy | 2 (1.9%) | - | 1 (4%) | 1 (1.5%) | 0.470 | 0.643 | |
| Post-COVID sequalae | 0.699 | ||||||
| Persistent loss of smell | 13 (12.4%) | 2 (14.3%) | 2 (8%) | 9 (13.6%) | 0.462 | 0.949 | |
| Dry eyes | 7 (6.7%) | 1 (7.1%) | 1 (4%) | 5 (7.6) | 0.540 | 0.955 | |
| Sexual dysfunction | 7 (6.7%) | 1 (7.1%) | 4 (16%) | 2 (3%) | 0.026 | 0.462 | |
| Post-partum depression | 8 (7.6%) | - | 1 (4%) | 7 (10.6%) | 0.321 | 0.202 | |
| Knee pain | 4 (3.8%) | 2 (14.3%) | 2 (8%) | - | 0.020 | 0.002 | |
| Myalgia | 6 (5.7%) | 2 (14.3%) | 1 (4%) | 3 (4.5%) | 0.910 | 0.171 | |
| Backache | 1 (0.95%) | - | 1 (4%) | - | 0.102 | - | |
| Persistent headache | 2 (1.9%) | - | 2 (8%) | - | 0.020 | - | |
| Insomnia | 1 (0.95%) | 1 (7.1%) | - | - | - | 0.029 | |
| Persistent fever | 2 (1.9%) | - | - | 2 (3%) | 0.379 | 0.509 | |
| Mother death | 17 (16.2%) | - | 1 (4%) | 16 (24.2%) | 0.027 | 0.039 | |
Abbreviations: ROM, spontaneous rupture of membranes.
3.3. Effect of COVID-19 Infection at Different Trimesters on the Fetus
The Umbilical Artery Resistance Index (RI) values (mean ± SD) were 0.4 ± 0.1, 0.5 ± 0.03, and 0.7 ± 0.02 for the first, second, and third trimesters, respectively. In the third trimester, 1.5% of cases experienced intrauterine growth restriction (IUGR), while 15.2% had intrauterine fetal demise (IUFD). After birth, 4% of second-trimester cases and 13.6% of third-trimester cases resulted in infant mortality. The overall well-being of the fetus was observed in 92.9%, 80%, and 66.7% for the first, second, and third trimesters, respectively.
The effect of COVID infection on the fetus at different trimesters is presented in Table 4.
Table 4.
Effects of COVID infection on the fetus at different trimesters represented as mean ±SD or n (%).
| Total Population (n = 105) |
First Trimester (n = 14) |
Second Trimester (n = 25) |
Third Trimester (n = 66) |
p-Value | |||
|---|---|---|---|---|---|---|---|
| 1st vs. 2nd Trimester | 2nd vs. 3rd Trimester | 1st vs. 3rd Trimester | |||||
| Umbilical artery RI | 0.6 ± 0.2 | 0.4 ± 0.1 | 0.5 ± 0.03 | 0.7 ± 0.02 | 0.310 | <0.001 | 0.001 |
| Fetal condition | 0.472 | 0.101 | 0.209 | ||||
| IUGR | 1 (0.95%) | - | - | 1 (1.5%) | |||
| IUFD | 10 (9.5%) | - | - | 10 (15.2%) | |||
| Good | 77 (73.3%) | 13 (92.9) | 20 (80%) | 44 (66.7%) | |||
| Death after birth | 10 (9.5%) | - | 1 (4%) | 9 (13.6%) | |||
Abbreviations: RI, resistance index.
3.4. Univariable Logistic Regression and Multiple Logistic Regression Analysis
Table 5 illustrates univariable logistic regression results to predict the most significant maternal outcomes. Maternal hospitalization was independently associated with COVID-19 severity (adjusted odds ratio (aOR) = 3.9; 95% CI: 1.6–9.2 at p = 0.002 relative to the reference group (mild infection)) and presence of dyspnea at initial assessment (aOR = 6.9; 95% CI: 1.7–28.2 at p = 0.007 relative to nondyspneic patients).
Table 5.
Univariable logistic regression to predict maternal outcomes during COVID-19.
| Outcome | Risk Factor | Coefficient | SE | p-Value | Odds Ratio (OR) | 95% CI for aOR | |
|---|---|---|---|---|---|---|---|
| Lower Bound | Upper Bound | ||||||
| Maternal hospitalization # | Severity of COVID infection * | 1.815 | 0.402 | <0.001 | 6.1 | 2.8 | 13.5 |
| Dyspnea # | 2.659 | 0.653 | <0.001 | 14.3 | 3.9 | 51.4 | |
| Lymphocyte count & | 1.701 | 0.663 | 0.01 | 5.5 | 1.5 | 20.1 | |
| Respiratory distress complication # | Age $ | 0.109 | 0.035 | 0.002 | 1.12 | 1.04 | 1.2 |
| Cough # | 1.121 | 0.505 | 0.026 | 3.1 | 1.1 | 8.3 | |
| Dyspnea # | 1.956 | 0.441 | <0.001 | 7.1 | 2.9 | 16.8 | |
| Chest imaging (Co-RADS infiltration > 50%) # | 3.729 | 0.774 | <0.001 | 41.7 | 9.1 | 190 | |
“Coefficient” is the estimated regression coefficient. Abbreviations: Co-RADS: COVID-19 reporting and data system. #: the reference category is no. *: the reference category for the severity of COVID infection is a mild state; &: the reference category for lymphocyte count is at the normal level; $: the odds ratio is calculated per a 1-year increase in age.
The risk of developing respiratory distress complications in pregnant females can be mainly determined by the presence of Co-RADS infiltration > 50% in chest imaging (aOR = 32.8; 95% CI: 5.9–180.3 at p < 0.001) relative to the reference level (without Co-RADS infiltration > 50%) as illustrated in Table 6.
Table 6.
Multiple logistic regression to predict maternal outcomes during COVID-19 infection.
| Outcome | Risk Factor | Coefficient | SE | p-Value | Adjusted Odds Ratio (aOR) | 95% CI for Aor | |
|---|---|---|---|---|---|---|---|
| Lower Bound | Upper Bound | ||||||
| Maternal hospitalization # | Severity of COVID infection * | 1.352 | 0.444 | 0.002 | 3.9 | 1.6 | 9.2 |
| Dyspnea # | 1.937 | 0.715 | 0.007 | 6.9 | 1.7 | 28.2 | |
| Lymphocyte count & | 1.386 | 0.823 | 0.089 | 3.9 | 0.8 | 19.8 | |
| Respiratory distress complication # | Age $ | 0.098 | 0.043 | 0.024 | 1.1 | 1.01 | 1.2 |
| Cough # | 1.503 | 0.746 | 0.044 | 4.5 | 1 | 19.4 | |
| Dyspnea # | 0.764 | 0.578 | 0.018 | 2.1 | 0.7 | 6.7 | |
| Chest imaging (Co-RADS infiltration > 50%) # | 3.491 | 0.869 | <0.001 | 32.8 | 5.9 | 180.3 | |
“Coefficient” is the estimated regression coefficient. Abbreviations: Co-RADS: COVID-19 reporting and data system. #: the reference category is no; *: the reference category for the severity of COVID infection is a mild state; &: the reference category for lymphocyte count is the normal level; $: the odds ratio is calculated per a 1-year increase in age.
4. Discussion
According to the study’s findings, pregnant women who contract COVID-19 during their pregnancy may have a higher risk of death due to worsening maternal and fetal outcomes. This aligns with previous studies [19,20].
In this research, advanced age and comorbidities such as hypertension, chronic diabetes, bronchial asthma, hyperparathyroidism, rheumatoid arthritis (RA), and systemic lupus erythematosus (SLE) were associated with worsened outcomes, particularly in participants infected during the third trimester. Previous studies have also connected the presence of COVID-19 to increased risks of admissions to hospitals [21,22], respiratory problems, and mortality [23]. These factors include age, asthma, obesity, and pregnancy [20]. Prior research has shown that women with comorbidities and associated risk factors who were pregnant or recently gave birth had increased odds of experiencing negative outcomes from COVID-19 [13,24]. Pregnant women infected in the second and third trimesters faced an increased risk of gestational diabetes (GDM), as reported in previous studies [25].
A significant portion of the individuals who contracted the disease during the third trimester developed a severe case of COVID-19 infection. Severe infection was reported in the third trimester more than the second and in the second more than in the first. Severe illness was more common in later pregnancy, as reported by the UK Obstetric Surveillance System (UKOSS) study, where most pregnant women were hospitalized in the third trimester or peripartum [26]. Adverse maternal and neonatal outcomes, such as preterm delivery, neonatal infection, low neonatal birth weight, and/or admission to the neonatal intensive care unit (NICU), have been linked to pregnancies with severe forms of COVID-19 [27,28]. In general, patients with severe clinical manifestation had much higher incidence rates of the aforementioned outcomes than patients with a straightforward course of the disease. Similarly, a number of studies found that pregnant women with severe COVID-19 had a higher chance of unfavorable obstetric and neonatal outcomes [29].
Third-trimester participants had worsening chest conditions, which may raise the possibility of preterm delivery [30].
Compared to those infected in the second and first trimesters, pregnant women required longer hospital stays in the third trimester due to their heightened susceptibility to emergencies and infectious diseases [29] pregnant women who are infected have a higher risk of developing severe COVID-19 infections, with a significant proportion requiring mechanical ventilation and intensive care [31,32]. Furthermore, according to the Centers of Disease Control and Prevention (CDC), hospitalization rates for pregnant women with SARS-CoV-2 (COVID-19) infection were higher than those for non-pregnant individuals at the same age (31.5% vs. 5.8%) [33]. According to the UKOSS study, where the majority of pregnant women were admitted to hospital in the third trimester or postpartum, severe illness seems to be more prevalent in later pregnancy [26].
This study clearly demonstrated the deteriorating state of the infected cases during the third trimester, as over 25% required mechanical ventilation and two thirds required oxygen therapy sublimentation. Moreover, the most prevalent complication in the study cases was respiratory distress, especially in third-trimester cases. The immunologic and physiological changes that occur during pregnancy, such as reduced respiratory capacity, elevated oxygen demand, aspiration risk, and diminished maternal tolerance to hypoxia, can be linked to the severity of maternal disease and the obstetric outcomes [29,34]. According to a previous study, intensive care unit (ICU) admission, hospitalization, mechanical ventilation, and premature birth are common outcomes for pregnant women with COVID-19 infections [5]. In March 2020, an American study involving forty-three hospitalized pregnant women found that fourteen percent needed mechanical ventilation and thirty percent needed admission to an intensive care unit (ICU) [10].
In the second and third trimesters, miscarriage, preterm labor, and endometriosis were common. There was a significant relationship between severe COVID-19 and iatrogenic preterm delivery, particularly in the third trimester [35]. Similarly, a systematic review involving 31,016 pregnant women from 62 studies confirmed our findings showing an around twofold increase in preterm labor among pregnancies with severe COVID-19 symptoms compared to the control [36]. These outcomes may be connected to the mother’s pneumonia during the COVID-19 course, which is the primary cause of pregnancy complications such as premature labor, placental abruption, and potentially fatal outcomes for the mother or the fetus [37].
Complications such as vaginal hematoma, retroplacental hematoma, broad ligament hematoma, postpartum hemorrhage, and wound infection were more common in third-trimester cases. Factors such as chronic hematological disease and immunosuppression are associated with COVID-19 infection [20,38,39].
Many COVID-19 survivors reported that their symptoms persisted even after recovery from the infection. “Post-COVID Condition” or “Long-COVID” have been terms used to describe this condition [40]. The study found that persistent loss of smell, dry eyes, knee pain, post-partum depression, myalgia, persistent headache, backache, insomnia, and persistent fever were among the post-COVID symptoms that some patients reported experiencing. The most common post-COVID symptoms in pregnant women, according to a prior study, were exhaustion, hair loss, and difficulties concentration [40,41,42]. The findings of this earlier study imply that there is little difference between reports from general population studies and the manner of presentation of long-term sequelae of SARS-CoV-2 infection in pregnant women [40].
A notable proportion of participants in the third trimester experienced mortality, consistent with findings from previous pandemics and seasonal influenza, emphasizing the higher risk faced by pregnant women for morbidity and mortality linked to the infection [43]. This is due to changes in the cardiorespiratory and immune systems during pregnancy which increase susceptibility to severe infections and hypoxic compromise [44].
In fact, there is a considerable death rate among pregnant populations related to infections. One of the main causes of maternal deaths globally is viral pneumonia [45], which carries an extra risk for SARS-CoV-2-positive pregnant women because it enters cells through the angiotensin-converting enzyme receptor 2 (ACE2), which increases the expression of the virus during normal pregnancy [43]. However, empirical validation of this elevated risk is still pending, and there is currently no conclusive evidence regarding the virus’s intrauterine vertical transmission [45,46].
In terms of the effects on the fetus, the third-trimester cases in this study exhibited worse fetal conditions than those in the second and first trimesters, with 13.6% of fetuses from third-trimester cases experiencing mortality after birth. Previous studies have reported the potential risks of placental infection or vertical transmission, which can result in a variety of complications, such as preterm birth abortion, fetal distress, cesarean section, premature delivery, NICU admission, growth restrictions, and early-onset neonatal sepsis [15,47,48].
In addition to intrauterine vertical transmission, viral infection can also be acquired during the fetus’s passage through the birth canal, during postpartum breastfeeding, through skin contact, or by the baby inhaling respiratory droplets from mother or any nearby person when they cough or sneeze. This information is crucial for determining whether a neonatal infection was acquired prior to or after delivery [37]. Also, a previous study reported that the effect of SARS-CoV-2 infection on the fetus in the first or second trimester or in patients with moderate to severe infection is unknown but, in the third trimester, may cause preterm birth, intrauterine growth restriction, intrauterine death, and neonatal death [49].
The Umbilical Artery Resistance Index (RI), is used in the surveillance of fetal well-being in pregnancy. An RI of >0.58 was defined as abnormal and an RI of > or = 0.7 was defined as very abnormal [50]. The determination of the Umbilical Artery Resistance Index (RI) in this study revealed very abnormal RIs in third-trimester cases, indicating placental insufficiency and potential intrauterine growth restriction (IUGR) or suspected pre-eclampsia [50].
Our study has several potential limitations. First, it is a single-center study, and the sample size may be relatively small, which could limit the generalizability of the findings to a wider population. Additionally, the number of pregnant women infected with COVID-19 during the third trimester was significantly higher than in the second and first trimesters. There are also potential limitations regarding the availability and accuracy of historical data, which may have led to some errors in documenting events and outcomes. Despite these limitations, our findings could hold substantial clinical importance. We stress the need to prioritize preventive and therapeutic strategies for pregnant women in their third trimester when addressing COVID-19.
5. Conclusions
Pregnant individuals in their third trimester exhibited a higher likelihood of developing severe COVID-19 infections and were more susceptible to hospital admission compared to those in the second or first trimester. The duration of hospitalization, the necessity for mechanical ventilation, and the risk of respiratory distress were all higher in the third trimester than in the second or first trimester. Conversely, the risk of abortion and preterm labor was greater in the second trimester than in the first or third trimester. Maternal death risk was identified in nearly a quarter of patients infected in the third trimester. When the mother contracted COVID-19 in the first trimester compared to the second or third, there was typically a favorable fetal condition observed. The risks of intrauterine growth restriction (IUGR), intrauterine fetal demise (IUFD), and fetal death after birth were elevated in third-trimester cases. The most prevalent post-COVID symptoms included persistent loss of smell, dry eyes, post-partum depression, knee pain, and myalgia, with a higher incidence in patients infected during the third trimester. The adverse outcomes of COVID-19 infection on both the mother and fetus were more severe in those infected during the third trimester compared to those infected during the second or first trimester. Therefore, it is crucial to adhere to precautionary measures against COVID-19, promote vaccination, and provide comprehensive care for pregnant mothers.
Acknowledgments
The authors gratefully acknowledge the approval and support of this research study by the Grant number NBU-FFR-2024-2613-02. from the Deanship of Scientific Research in Northern Border University, Arar, KSA.
Author Contributions
E.M.K.: conceptualization, methodology, writing—review and editing; Y.M.M.: formal analysis, methodology, writing—review and editing; M.H.: resources, methodology, writing—review and editing; A.M.F.: data curation, methodology, writing—review and editing; S.O.A.: funding acquisition; Q.A.A.: funding acquisition; H.A.A.-T.: funding acquisition, resources, writing—review and editing; A.A.T.: conceptualization, methodology, writing—review and editing; M.O.E.: supervision, methodology, writing—original draft; H.A.A.A.: conceptualization, methodology, writing—review and editing; All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study protocol was approved by the ethical approval committee of the Faculty of Pharmacy, Beni-Suef University (No.: REC-H-PhBSU-22014, Approval date: 7/3/2021) and was conducted according to the Declaration of Helsinki.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
Funding Statement
The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA, for funding this research work through the project number NBU-FFR-2024-2613-02.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Sayed A.M., Khalaf A.M., Abdelrahim M.E., Elgendy M.O. Repurposing of some anti-infective drugs for COVID-19 treatment: A surveillance study supported by an in silico investigation. Int. J. Clin. Pract. 2021;75:e13877. doi: 10.1111/ijcp.13877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Zawbaa H.M., Osama H., El-Gendy A., Saeed H., Harb H.S., Madney Y.M., Abdelrahman M., Mohsen M., Ali A.M., Nicola M. Effect of mutation and vaccination on spread, severity, and mortality of COVID-19 disease. J. Med. Virol. 2022;94:197–204. doi: 10.1002/jmv.27293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wiersinga W.J., Rhodes A., Cheng A.C., Peacock S.J., Prescott H.C. Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): A review. JAMA. 2020;324:782–793. doi: 10.1001/jama.2020.12839. [DOI] [PubMed] [Google Scholar]
- 4.Lokken E.M., Walker C.L., Delaney S., Kachikis A., Kretzer N.M., Erickson A., Resnick R., Vanderhoeven J., Hwang J.K., Barnhart N. Clinical characteristics of 46 pregnant women with a severe acute respiratory syndrome coronavirus 2 infection in Washington State. Am. J. Obstet. Gynecol. 2020;223:911.e1–911.e4. doi: 10.1016/j.ajog.2020.05.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lokken E.M., Huebner E.M., Taylor G.G., Hendrickson S., Vanderhoeven J., Kachikis A., Coler B., Walker C.L., Sheng J.S., Al-Haddad B.J. Disease severity, pregnancy outcomes, and maternal deaths among pregnant patients with severe acute respiratory syndrome coronavirus 2 infection in Washington State. Am. J. Obstet. Gynecol. 2021;225:77.e1–77.e4. doi: 10.1016/j.ajog.2020.12.1221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Battistoni I., Francioni M., Morici N., Rubboli A., Podda G.M., Pappalardo A., Abdelrahim M.E., Elgendy M.O., Elgendy S.O., Khalaf A.M. Pre-and in-hospital anticoagulation therapy in coronavirus disease 2019 patients: A propensity-matched analysis of in-hospital outcomes. J. Cardiovasc. Med. 2022;23:264–271. doi: 10.2459/JCM.0000000000001284. [DOI] [PubMed] [Google Scholar]
- 7.Ismael M.S., Elgendy M.O., Binsaleh A.Y., Saleh A., Abdelrahim M.E., Osama H. Impulsivity and Its Association with Depression and Anxiety in the Normal Egyptian Population Post COVID-19 Pandemic. Medicina. 2024;60:1367. doi: 10.3390/medicina60081367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Allotey J., Fernandez S., Bonet M., Stallings E., Yap M., Kew T., Zhou D., Coomar D., Sheikh J., Lawson H. Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: Living systematic review and meta-analysis. BMJ. 2020;370:m3320. doi: 10.1136/bmj.m3320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Catalano A., Iacopetta D., Ceramella J., Maio A.C.D., Basile G., Giuzio F., Bonomo M.G., Aquaro S., Walsh T.J., Sinicropi M.S. Are nutraceuticals effective in COVID-19 and post-COVID prevention and treatment? Foods. 2022;11:2884. doi: 10.3390/foods11182884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Panagiotakopoulos L., Myers T.R., Gee J., Lipkind H.S., Kharbanda E.O., Ryan D.S., Williams J.T., Naleway A.L., Klein N.P., Hambidge S.J. SARS-CoV-2 infection among hospitalized pregnant women: Reasons for admission and pregnancy characteristics—Eight US health care centers, March 1–May 30, 2020. Morb. Mortal. Wkly. Rep. 2020;69:1355. doi: 10.15585/mmwr.mm6938e2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Takemoto M.L., Menezes M.d.O., Andreucci C.B., Nakamura-Pereira M., Amorim M.M., Katz L., Knobel R. The tragedy of COVID-19 in Brazil: 124 maternal deaths and counting. Int. J. Gynecol. Obstet. 2020;151:154–156. doi: 10.1002/ijgo.13300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Amorim M.M.R., Takemoto M.L.S., da Fonseca E.B. Maternal deaths with coronavirus disease 2019: A different outcome from low-to middle-resource countries? Am. J. Obstet. Gynecol. 2020;223:298–299. doi: 10.1016/j.ajog.2020.04.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Takemoto M.L., Menezes M.O., Andreucci C.B., Knobel R., Sousa L.A., Katz L., Fonseca E.B., Magalhães C.G., Oliveira W.K., Rezende-Filho J. Maternal mortality and COVID-19. J. Matern.-Fetal Neonatal Med. 2022;35:2355–2361. doi: 10.1080/14767058.2020.1786056. [DOI] [PubMed] [Google Scholar]
- 14.Askary E., Poordast T., Shiravani Z., Ali M.A., Hashemi A., Naseri R., Moradialamdarloo S., Karimi Z., Izanloo E., Najib F.S. Coronavirus disease 2019 (COVID-19) manifestations during pregnancy in all three trimesters: A case series. Int. J. Reprod. BioMedicine. 2021;19:191. doi: 10.18502/ijrm.v19i2.8477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Yu N., Li W., Kang Q., Xiong Z., Wang S., Lin X., Liu Y., Xiao J., Liu H., Deng D. Clinical features and obstetric and neonatal outcomes of pregnant patients with COVID-19 in Wuhan, China: A retrospective, single-centre, descriptive study. Lancet Infect. Dis. 2020;20:559–564. doi: 10.1016/S1473-3099(20)30176-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Eid R.A., Elgendy M.O., El-Gendy A.O., Elgendy S.O., Belbahri L., Sayed A.M., Rateb M.E. Efficacy of ceftazidime and cefepime in the management of COVID-19 patients: Single center report from Egypt. Antibiotics. 2021;10:1278. doi: 10.3390/antibiotics10111278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.El-Hosari D.G., Hussein W.M., Elgendy M.O., Elgendy S.O., Ibrahim A.R., Fahmy A.M., Hassan A., Mokhtar F.A., Hussein M.F., Abdelrahim M.E. Galangal–cinnamon spice mixture blocks the coronavirus infection pathway through inhibition of SARS-CoV-2 MPro, three HCoV-229E targets; quantum-chemical calculations support in vitro evaluation. Pharmaceuticals. 2023;16:1378. doi: 10.3390/ph16101378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Machado K., Ayuk P. Post-COVID-19 condition and pregnancy. Case Rep. Women’s Health. 2023;37:e00458. doi: 10.1016/j.crwh.2022.e00458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wang P.-H., Lee W.-L., Yang S.-T., Tsui K.-H., Chang C.-C., Lee F.-K. The impact of COVID-19 in pregnancy: Part I. Clinical presentations and untoward outcomes of pregnant women with COVID-19. J. Chin. Med. Assoc. 2021;84:813–820. doi: 10.1097/JCMA.0000000000000595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ribeiro H.F., de Barros Carvalho M.D., Pelloso F.C., Santos L.d., de Andrade Pereira Silva M., Stevanato K.P., Borghesan D.H.P., Romani I., Marques V.D., de Freitas K.M.S. Maternal Risk Factors Associated with Negative COVID-19 Outcomes and Their Relation to Socioeconomic Indicators in Brazil. Healthcare. 2023;11:2072. doi: 10.3390/healthcare11142072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Khalaf A.M., Elgendy M.O., Fahmy A.M., El Gendy S.O., El-Gendy A.O., Abdelrahman M.A., El-Bahrawy A.H., Elsisi A.M.M., Shafiq S.N. Relation between ABO and RhD and prevalence and severity of COVID-19 disease. Int. J. Clin. Med. Res. 2024;2:78–86. doi: 10.61466/ijcmr2030003. [DOI] [Google Scholar]
- 22.Eid R.A., Elgendy M.O., Sayed A.M., Abdallah A.M., Mostafa H.M., Elsisi A.M.M., Hamed A.M., Shaker M.A. Efficacy of Linezolid in the management of pneumonic COVID-19 patients. Bioinformatics-based clinical study. J. Infect. Dev. Ctries. 2024;18:326–331. doi: 10.3855/jidc.19205. [DOI] [PubMed] [Google Scholar]
- 23.Alatawi A.D., Elgendy M.O., Sayed A.M., Shafiq S.N., El-Bahrawy A.H., Mallhi T.H., Khan Y.H., Alzarea A.I., Alotaibi N.H., Alanazi A.S. Local and Systemic side effects of COVID-19 Vaccines. Int. J. Clin. Med. Res. 2023;2:11–20. doi: 10.61466/ijcmr2010002. [DOI] [Google Scholar]
- 24.Joseph N.T., Wylie B.J. Maternal deaths in Brazil from severe COVID-19 respiratory disease: Time for a global commitment to ending health disparities. BJOG. 2020;127:1627. doi: 10.1111/1471-0528.16521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Radan A.-P., Fluri M.-M., Nirgianakis K., Mosimann B., Schlatter B., Raio L., Surbek D. Gestational diabetes is associated with SARS-CoV-2 infection during pregnancy: A case-control study. Diabetes Metab. 2022;48:101351. doi: 10.1016/j.diabet.2022.101351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Vousden N., Bunch K., Morris E., Simpson N., Gale C., O’Brien P., Quigley M., Brocklehurst P., Kurinczuk J.J., Knight M. The incidence, characteristics and outcomes of pregnant women hospitalized with symptomatic and asymptomatic SARS-CoV-2 infection in the UK from March to September 2020: A national cohort study using the UK Obstetric Surveillance System (UKOSS) PLoS ONE. 2021;16:e0251123. doi: 10.1371/journal.pone.0251123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Yang R., Mei H., Zheng T., Fu Q., Zhang Y., Buka S., Yao X., Tang Z., Zhang X., Qiu L. Pregnant women with COVID-19 and risk of adverse birth outcomes and maternal-fetal vertical transmission: A population-based cohort study in Wuhan, China. BMC Med. 2020;18:1–7. doi: 10.1186/s12916-020-01798-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Samadi P., Alipour Z., Ghaedrahmati M., Ahangari R. The severity of COVID-19 among pregnant women and the risk of adverse maternal outcomes. Int. J. Gynecol. Obstet. 2021;154:92–99. doi: 10.1002/ijgo.13700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Dileep A., ZainAlAbdin S., AbuRuz S. Investigating the association between severity of COVID-19 infection during pregnancy and neonatal outcomes. Sci. Rep. 2022;12:3024. doi: 10.1038/s41598-022-07093-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Thompson J.L., Nguyen L.M., Noble K.N., Aronoff D.M. COVID-19-related disease severity in pregnancy. Am. J. Reprod. Immunol. 2020;84:e13339. doi: 10.1111/aji.13339. [DOI] [PubMed] [Google Scholar]
- 31.Alfaraj S.H., Al-Tawfiq J.A., Memish Z.A. Middle East Respiratory Syndrome Coronavirus (MERS-CoV) infection during pregnancy: Report of two cases & review of the literature. J. Microbiol. Immunol. Infect. 2019;52:501–503. doi: 10.1016/j.jmii.2018.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Vouga M., Favre G., Martinez-Perez O., Pomar L., Acebal L.F., Abascal-Saiz A., Hernandez M.R.V., Hcini N., Lambert V., Carles G. Maternal outcomes and risk factors for COVID-19 severity among pregnant women. Sci. Rep. 2021;11:13898. doi: 10.1038/s41598-021-92357-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ellington S., Strid P., Tong V.T., Woodworth K., Galang R.R., Zambrano L.D., Nahabedian J., Anderson K., Gilboa S.M. Characteristics of women of reproductive age with laboratory-confirmed SARS-CoV-2 infection by pregnancy status—United States, January 22–June 7, 2020. Morb. Mortal. Wkly. Rep. 2020;69:769. doi: 10.15585/mmwr.mm6925a1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zaki A., Elgendy M.O., Abdelrahman M.A., Ali H., Khalil E.M., Hassan M., Fahmy A.M., Gad R.A., Salem H.F. The Efficacy of Using Different Antibiotics to Prevent Maternal Surgical Site Infections in COVID-19-Infected Cases. Eur. Chem. Bull. 2023;6:1342–1348. [Google Scholar]
- 35.Pierce-Williams R.A., Burd J., Felder L., Khoury R., Bernstein P.S., Avila K., Penfield C.A., Roman A.S., DeBolt C.A., Stone J.L. Clinical course of severe and critical coronavirus disease 2019 in hospitalized pregnancies: A United States cohort study. Am. J. Obstet. Gynecol. MFM. 2020;2:100134. doi: 10.1016/j.ajogmf.2020.100134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Lassi Z.S., Ali A., Das J.K., Salam R.A., Padhani Z.A., Irfan O., Bhutta Z.A. A systematic review and meta-analysis of data on pregnant women with confirmed COVID-19: Clinical presentation, and pregnancy and perinatal outcomes based on COVID-19 severity. J. Glob. Health. 2021;11:05018. doi: 10.7189/jogh.11.05018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Schwartz D.A., Graham A.L. Potential maternal and infant outcomes from coronavirus 2019-nCoV (SARS-CoV-2) infecting pregnant women: Lessons from SARS, MERS, and other human coronavirus infections. Viruses. 2020;12:194. doi: 10.3390/v12020194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Elgendy S.O., Elgendy M.O., El-Gendy A.O., Hamied A.M.A., Al Amir K., Gad R.A., Fahmy A.M. Health Care Workers’ Awareness about the Post-COVID Syndrome and Different Types of COVID-19 Vaccines in Egypt. NeuroQuantology. 2022;20:3830–3839. [Google Scholar]
- 39.Fahmy A.M., Elgendy M.O., Khalaf A.M., Abdelrahman M.A., Abdelrahim M.E., El-Gendy A.O. COVID-19 Patients with Hepatic Complications During the Third Wave of Pandemic in Egypt. J. Clin. Nurs. Res. 2022;6:108–121. doi: 10.26689/jcnr.v6i3.3726. [DOI] [Google Scholar]
- 40.Vásconez-González J., Fernandez-Naranjo R., Izquierdo-Condoy J.S., Delgado-Moreira K., Cordovez S., Tello-De-la-Torre A., Paz C., Castillo D., Izquierdo-Condoy N., Carrington S.J. Comparative analysis of long-term self-reported COVID-19 symptoms among pregnant women. J. Infect. Public Health. 2023;16:430–440. doi: 10.1016/j.jiph.2023.01.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Shaban M., Elgendy M.O., Fahmy A.M., Khalil D.M., El-Gendy A.O., Mahmoud T.M., Abdelrahim M.E. The Outcomes of COVID-19 Patients with Spontaneous Intracerebral Hemorrhage Comorbidity and the Efficacy of Enoxaparin in Decreasing the Mortality Rate in Them: Single Egyptian Center Report. J. Pers. Med. 2022;12:1822. doi: 10.3390/jpm12111822. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Abdou L.M., El-Gendy A.O., Elgendy M.O., Gad R.A., Elgendy S.O., Eid R.A., Sayed A.M., Mahmoud T.M. The Impact of Combining Cefepime or Ceftazidime with Steroidal and Anticoagulant Therapy in the Treatment of COVID-19 Patients. NeuroQuantology. 2022;20:3696–3701. [Google Scholar]
- 43.Narang K., Enninga E.A.L., Gunaratne M.D., Ibirogba E.R., Trad A.T.A., Elrefaei A., Theiler R.N., Ruano R., Szymanski L.M., Chakraborty R. Mayo Clinic Proceedings. Elsevier; Amsterdam, The Netherlands: 2020. SARS-CoV-2 infection and COVID-19 during pregnancy: A multidisciplinary review; pp. 1750–1765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Dashraath P., Wong J.L.J., Lim M.X.K., Lim L.M., Li S., Biswas A., Choolani M., Mattar C., Su L.L. Coronavirus disease 2019 (COVID-19) pandemic and pregnancy. Am. J. Obstet. Gynecol. 2020;222:521–531. doi: 10.1016/j.ajog.2020.03.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Akhtar H., Patel C., Abuelgasim E., Harky A. COVID-19 (SARS-CoV-2) infection in pregnancy: A systematic review. Gynecol. Obstet. Investig. 2020;85:295–306. doi: 10.1159/000509290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Abdelrahman M.A., Zaki A., Salem S.A., Salem H.F., Ibrahim A.R., Hassan A., Elgendy M.O. The Impact of Cefepime and Ampicillin/Sulbactam on Preventing Post-Cesarean Surgical Site Infections, Randomized Controlled Trail. Antibiotics. 2023;12:1666. doi: 10.3390/antibiotics12121666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Zhang L., Jiang Y., Wei M., Cheng B., Zhou X., Li J., Tian J., Dong L., Hu R. Analysis of the pregnancy outcomes in pregnant women with COVID-19 in Hubei Province. Zhonghua Fu Chan Ke Za Zhi. 2020;55:166–171. doi: 10.3760/cma.j.cn112141-20200218-00111. [DOI] [PubMed] [Google Scholar]
- 48.Taghavi S.-A., Heidari S., Jahanfar S., Amirjani S., Aji-Ramkani A., Azizi-Kutenaee M., Bazarganipour F. Obstetric, maternal, and neonatal outcomes in COVID-19 compared to healthy pregnant women in Iran: A retrospective, case-control study. Middle East Fertil. Soc. J. 2021;26:1–8. doi: 10.1186/s43043-021-00059-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Luo Y., Yin K. Management of pregnant women infected with COVID-19. Lancet Infect. Dis. 2020;20:513–514. doi: 10.1016/S1473-3099(20)30191-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Asnafi N., Hajian K. Mid-trimester uterine artery Doppler ultrasound as a predictor of adverse obstetric outcome in high-risk pregnancy. Taiwan. J. Obstet. Gynecol. 2011;50:29–32. doi: 10.1016/j.tjog.2009.08.002. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
