Obstetric Disorders and Critical Illness.

In this article, we discuss some of the more common obstetric-related conditions that can lead to critical illness and require management in an ICU. These include the hypertensive disorders of pregnancy, postpartum hemorrhage, hemolysis, elevated liver enzymes, and low platelet syndrome, acute fatty liver of pregnancy, amniotic fluid embolism, and peripartum cardiomyopathy. We also discuss pulmonary embolism and Covid-19. Despite not being specific to obstetric patients, pulmonary embolism is a common, life-threatening diagnosis in pregnancy with particular risks and management aspects. Covid-19 does not seem to occur with higher frequency in pregnant women, but it leads to higher rates of ICU admissions and mechanical ventilation in pregnant women than in their nonpregnant peers. Its prevalence during our current global pandemic makes it important to discuss in this article. We provide a basis for critical care physicians to be engaged in informed conversations and management in a multidisciplinary manner with other relevant providers in the care of critically ill pregnant and postpartum women.

The incidence and risk factors of meconium amniotic fluid in singleton pregnancies: an experience of a tertiary hospital in Iran.

BACKGROUND: Several common maternal or neonatal risk factors have been linked to meconium amniotic fluid (MAF) development; however, the results are contradictory, depending on the study. This study aimed to assess the prevalence and risk factors of MAF in singleton pregnancies. METHODS: This study is a retrospective cohort that assessed singleton pregnant mothers who gave birth at a tertiary hospital in Bandar Abbas, Iran, between January 1st, 2020, and January 1st, 2022. Mothers were divided into two groups: 1) those diagnosed with meconium amniotic fluid (MAF) and 2) those diagnosed with clear amniotic fluid. Mothers with bloody amniotic fluid were excluded. Demographic factors, obstetrical factors, and maternal comorbidities were extracted from the electronic data of each mother. The Chi-square test was used to compare differences between the groups for categorical variables. Logistic regression models were used to assess meconium amniotic fluid risk factors. RESULTS: Of 8888 singleton deliveries during the study period, 1085 (12.2%) were MAF. MAF was more common in adolescents, mothers with postterm pregnancy, and primiparous mothers, and it was less common in mothers with GDM and overt diabetes. The odds of having MAF in adolescents were three times higher than those in mothers 20-34 years old (aOR: 3.07, 95% CI: 1.87-4.98). Likewise, there were significantly increased odds of MAF in mothers with late-term pregnancy (aOR: 5.12, 95% CI: 2.76-8.94), and mothers with post-term pregnancy (aOR: 7.09, 95% CI: 3.92-9.80). Primiparous women were also more likely than multiparous mothers to have MAF (aOR: 3.41, 95% CI: 2.11-4.99). CONCLUSIONS: Adolescents, primiparous mothers, and mothers with post-term pregnancies had a higher risk of MAF. Maternal comorbidities resulting in early termination of pregnancy can reduce the incidence of MAF.

Tracking excess of maternal deaths associated with COVID-19 in Brazil: a nationwide analysis.

BACKGROUND: The COVID-19 pandemic brought a new challenge to maternal mortality in Brazil. Throughout 2020, Brazil registered 549 maternal deaths, mainly in second and third-trimester pregnant women. The objective of this study was to estimate the excess maternal deaths in Brazil caused directly and indirectly by Covid-19 in the year 2020. In addition, we sought to identify clinical, social and health care factors associated with the direct maternal deaths caused by Covid-19. METHODS: We performed nationwide analyses based on data from the Mortality Information System (SIM) for general and maternal deaths and the Influenza Epidemiological Surveillance System (SIVEP-Influenza) for estimates of female and maternal deaths due to COVID-19. Two distinct techniques were adopted. First, we describe maternal deaths directly caused by covid-19 and compare them with the historical series of deaths from covid-19 among women of childbearing age (15 to 49 years). Next, we estimated the total excess maternal mortality. Then, we calculated odds ratios for symptoms, comorbidities, social determination proxies and hospital care aspects between COVID-19 maternal deaths and deaths of women of childbearing age who were not pregnant or no maternal deaths. We chose women of childbearing age (15 to 49 years) as a reference because sex and age introduce differentials in the risk of COVID-19 death. RESULTS: Most maternal deaths occurred during pregnancy compared to postpartum deaths month by month in 2020 (µ = 59.8%, SD = 14.3%). The excess maternal mortality in 2020 in Brazil was 1.40 (95% CI 1.35-1.46). Even considering excess mortality due to COVID-19 for the childbearing age female population (MMR 1.14; 95% CI 1.13-1.15), maternal mortality exceeded the expected number. The odds of being a black woman, living in a rural area and being hospitalized outside the residence municipality among maternal deaths were 44, 61 and 28% higher than the control group. Odds of hospitalization (OR 4.37; 95% CI 3.39-5.37), ICU admission (OR 1.73; 95% CI 1.50-1.98) and invasive ventilatory support use (OR 1.64; CI 95% 1.42-1.86) among maternal deaths were higher than in the control group. CONCLUSIONS: There was excess maternal mortality in 2020 in Brazil. Even with adjustment for the expected excess mortality from Covid-19 in women of childbearing age, the number of maternal deaths exceeds expectations, suggesting that there were deaths among pregnant and postpartum women indirectly caused by the pandemic, compromising access to prenatal care., adequate childbirth and puerperium.

Comparison of adverse pregnancy and birth outcomes using archival medical records before and during the first wave of the COVID-19 pandemic in Kinshasa, Democratic Republic of Congo: a facility-based, retrospective cohort study.

BACKGROUND: Little research has been conducted on the impact of the coronavirus disease 2019 (COVID-19) pandemic on either birth outcomes or the ability of archival medical records to accurately capture these outcomes. Our study objective is thus to compare the prevalence of preterm birth, stillbirth, low birth weight (LBW), small for gestational age (SGA), congenital microcephaly, and neonatal bloodstream infection (NBSI) before and during the first wave of the COVID-19 pandemic in Kinshasa, Democratic Republic of Congo (DRC). METHODS: We conducted a facility-based retrospective cohort study in which identified cases of birth outcomes were tabulated at initial screening and subcategorized according to level of diagnostic certainty using Global Alignment of Immunization Safety Assessment in pregnancy (GAIA) definitions. Documentation of any birth complications, delivery type, and maternal vaccination history were also evaluated. The prevalence of each birth outcome was compared in the pre-COVID-19 (i.e., July 2019 to February 2020) and intra-COVID-19 (i.e., March to August 2020) periods via two-sample z-test for equality of proportions. RESULTS: In total, 14,300 birth records were abstracted. Adverse birth outcomes were identified among 22.0% and 14.3% of pregnancies in the pre-COVID-19 and intra-COVID-19 periods, respectively. For stillbirth, LBW, SGA, microcephaly, and NBSI, prevalence estimates were similar across study periods. However, the prevalence of preterm birth in the intra-COVID-19 period was significantly lower than that reported during the pre-COVID-19 period (8.6% vs. 11.5%, p < 0.0001). Furthermore, the level of diagnostic certainty declined slightly across all outcomes investigated from the pre-COVID-19 to the intra-COVID-19 period. Nonetheless, diagnostic certainty was especially low for certain outcomes (i.e., stillbirth and NBSI) regardless of period; still, other outcomes, such as preterm birth and LBW, had moderate to high levels of diagnostic certainty. Results were mostly consistent when the analysis was focused on the facilities designated for COVID-19 care. CONCLUSION: This study succeeded in providing prevalence estimates for key adverse birth outcomes using GAIA criteria during the COVID-19 pandemic in Kinshasa, DRC. Furthermore, our study adds crucial real-world data to the literature surrounding the impact of the COVID-19 pandemic on maternal and neonatal services and outcomes in Africa.

Knowledge and its factors associated towards the prevention of COVID-19 among pregnant women in Ethiopia.

Background: COVID-19 is caused by a single-stranded novel coronavirus that severely affects the respiratory system. The first human COVID-19 was reported in Wuhan city, China, in December 2019. Closing the gap and enhancing knowledge of pregnant women on COVID-19 prevention methods is crucial. However, the studies conducted in Ethiopia were inconsistent and non-conclusive. So, this review aimed to estimate the pooled knowledge prevalence on prevention of COVID 19 and factors associated among pregnant women in Ethiopia. Methods: The data were extracted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We accessed studies through electronic web-based search from PubMed, Cochrane Library, and Google Scholar. We did all statistical analyses using STATA version 14 software with a random-effects model. Results: Seven studies with 2,594 participants were included in this systematic review and the overall estimated status of assessment of knowledge towards prevention of COVID-19 among pregnant women in Ethiopia was 52.27% (31.60, 68.94). According to the region subgroup analysis, the highest ad the lowest estimated status of the knowledge is 85.34% in Jimma town and 19.01 in Metu town respectively in the Oromia region. Conclusion: This systemic review showed that only half of the pregnant women in Ethiopia had good knowledge about COVID-19, and urban residence was significantly associated with knowledge towards the prevention of COVID-19 among pregnant women in this review. So, the responsible body better strengthen their awareness creation among rural residents and old-age pregnant women.

Pregnancy Complications in Pandemics: Is Pregnancy-Related Anxiety a Possible Physiological Risk Factor?

BACKGROUND: Birth and pregnancy complications increased by 10.2% during the 2019 coronavirus (COVID-19) pandemic. Pregnant women are at high risk for anxiety, which might trigger physio-logical stress, leading to pregnancy complications. AIM: This study aimed to investigate factors leading to antenatal anxiety during the COVID-19 pandemic. We also aimed to discuss our find-ings with regard to the current literature about pregnancy complications. METHODS: This cross-sectional study interviewed 377 pregnant women and assessed anxiety using a validated 7-item general anxiety disorder (GAD-7) scale. Anxiety was related to physiological and demo-graphic parameters. Anxiety was subdivided into pandemic- and pregnancy-related anxiety to minimize results bias. RESULTS: Our results showed that 75.3% of pregnant women were anxious. The mean GAD-7 score was 8.28 ± 5. Linear regression analysis showed that for every increase in the number of previous pregnancies, there was a 1.3 increase in anxiety level (p < 0.001). Women with no previous miscarriages were more anxious (p < 0.001). Surprisingly, pregnant women who were previously infected with COVID-19 were 6% less stressed. Pregnant women with comorbid-ities were more stressed (p < 0.001). Low income (p < 0.001) and age (p < 0.05) were the demo-graphic factors most significantly related to increased anxiety. CONCLUSIONS: The prevalence of pregnancy-related anxiety increased threefold in Saudi Arabia due to the COVID-19 pandemic. Healthcare support should be available remotely during pandemics; pregnant women (especially those with comorbidities) should be educated about the risks of infection and complications to prevent anxiety-related complications during pregnancy.

The association between peritraumatic distress, perceived stress, depression in pregnancy, and NR3C1 DNA methylation among Chinese pregnant women who experienced COVID-19 lockdown.

Prenatal stress can affect pregnant women in an epigenetic way during the critical period of conception of their offspring. The study aims to investigate the relationship between peritraumatic distress, prenatal perceived stress, depression, and glucocorticoid receptor (NR3C1) DNA methylation among pregnant women who experienced COVID-19 lockdown in China. Study data were collected from 30 pregnant women in Wuhan and Huanggang, China. The Peritraumatic Distress Inventory was used to measure peritraumatic distress, the Edinburgh Postnatal Depression Scale was used to measure depressive symptoms, and the Perceived Stress Scale was used to measure perceived stress. DNA methylation in the exon 1F promoter region of NR3C1 gene from the venous blood mononuclear cell genome was characterized by bisulfite sequencing. Correlation and linear regression were used for data analysis. The mean level of peritraumatic distress, perceived stress, and depression was 6.30 (SD = 5.09), 6.50 (SD = 5.41), and 6.60 (SD = 4.85), respectively, with 23.33% of pregnant women being depressed. The mean NR3C1 methylation was 0.65 (SD = 0.22). Prenatal depression was positively correlated with the degree of methylation in venous blood from the mother (r = 0.59, p = 0.001), and depression predicted methylation of NR3C1 gene at the CpG 8 site (ß = 0.05, p = 0.03). No association was found between peritraumatic distress as well as perceived stress and methylation of NR3C1. NR3C1 gene was susceptible to epigenetic modification of DNA methylation in the context of prenatal stress, and maternal depression was associated with increased NR3C1 methylation among women who experienced COVID-19 lockdown.

Machine learning-based predictive modeling of resilience to stressors in pregnant women during COVID-19: A prospective cohort study.

During the COVID-19 pandemic, pregnant women have been at high risk for psychological distress. Lifestyle factors may be modifiable elements to help reduce and promote resilience to prenatal stress. We used Machine-Learning (ML) algorithms applied to questionnaire data obtained from an international cohort of 804 pregnant women to determine whether physical activity and diet were resilience factors against prenatal stress, and whether stress levels were in turn predictive of sleep classes. A support vector machine accurately classified perceived stress levels in pregnant women based on physical activity behaviours and dietary behaviours. In turn, we classified hours of sleep based on perceived stress levels. This research adds to a developing consensus concerning physical activity and diet, and the association with prenatal stress and sleep in pregnant women. Predictive modeling using ML approaches may be used as a screening tool and to promote positive health behaviours for pregnant women.

Comparison of Pregnancy and Birth Outcomes Before vs During the COVID-19 Pandemic.

Importance: Little is known about changes in obstetric outcomes during the COVID-19 pandemic. Objective: To assess whether obstetric outcomes and pregnancy-related complications changed during the COVID-19 pandemic. Design, Setting, and Participants: This retrospective cohort study included pregnant patients receiving care at 463 US hospitals whose information appeared in the PINC AI Healthcare Database. The relative differences in birth outcomes, pregnancy-related complications, and length of stay (LOS) during the pandemic period (March 1, 2020, to April 31, 2021) were compared with the prepandemic period (January 1, 2019, to February 28, 2020) using logistic and Poisson models, adjusting for patients' characteristics, and comorbidities and with month and hospital fixed effects. Exposures: COVID-19 pandemic period. Main Outcomes and Measures: The 3 primary outcomes were the relative change in preterm vs term births, mortality outcomes, and mode of delivery. Secondary outcomes included the relative change in pregnancy-related complications and LOS. Results: There were 849 544 and 805 324 pregnant patients in the prepandemic and COVID-19 pandemic periods, respectively, and there were no significant differences in patient characteristics between periods, including age (≥35 years: 153 606 [18.1%] vs 148 274 [18.4%]), race and ethnicity (eg, Hispanic patients: 145 475 [47.1%] vs 143 905 [17.9%]; White patients: 456 014 [53.7%] vs 433 668 [53.9%]), insurance type (Medicaid: 366 233 [43.1%] vs 346 331 [43.0%]), and comorbidities (all standardized mean differences <0.10). There was a 5.2% decrease in live births during the pandemic. Maternal death during delivery hospitalization increased from 5.17 to 8.69 deaths per 100 000 pregnant patients (odds ratio [OR], 1.75; 95% CI, 1.19-2.58). There were minimal changes in mode of delivery (vaginal: OR, 1.01; 95% CI, 0.996-1.02; primary cesarean: OR, 1.02; 95% CI, 1.01-1.04; vaginal birth after cesarean: OR, 0.98; 95% CI, 0.95-1.00; repeated cesarean: OR, 0.96; 95% CI, 0.95-0.97). LOS during delivery hospitalization decreased by 7% (rate ratio, 0.931; 95% CI, 0.928-0.933). Lastly, the adjusted odds of gestational hypertension (OR, 1.08; 95% CI, 1.06-1.11), obstetric hemorrhage (OR, 1.07; 95% CI, 1.04-1.10), preeclampsia (OR, 1.04; 95% CI, 1.02-1.06), and preexisting chronic hypertension (OR, 1.06; 95% CI, 1.03-1.09) increased. No significant changes in preexisting racial and ethnic disparities were observed. Conclusions and Relevance: During the COVID-19 pandemic, there were increased odds of maternal death during delivery hospitalization, cardiovascular disorders, and obstetric hemorrhage. Further efforts are needed to ensure risks potentially associated with the COVID-19 pandemic do not persist beyond the current state of the pandemic.

The Impacts of Prenatal Mental Health Issues on Birth Outcomes during the COVID-19 Pandemic: A Scoping Review.

BACKGROUND: The severity of the COVID-19 pandemic is likely to exacerbate mental health problems during the prenatal period and increase the risk of adverse birth outcomes. This review assessed the published literature related to the impacts of prenatal mental health issues on birth outcomes during the COVID-19 pandemic. METHODS: This scoping review was conducted using PROSPERO, Cochrane Library, OVID Medline, Ovid EMBASE, OVID PsycInfo, EBSCO CINAHL, and SCOPUS. The search was conducted using controlled vocabulary and keywords representing the concepts "COVID19", "mental health" and "birth outcomes". The main inclusion criteria were peer-reviewed published articles from late 2019 to the end of July 2021. RESULTS AND DISCUSSION: After removing duplicates, 642 articles were identified, of which two full texts were included for analysis. Both articles highlighted that pregnant women have experienced increasing prenatal mental health issues during the COVID-19 pandemic and, further, increased the risk of developing adverse births. This scoping review highlighted that there is a lack of research on the impact of prenatal mental health issues on birth outcomes during the pandemic. CONCLUSION: Given the severity of the COVID-19 pandemic and the burdens of prenatal mental health issues and adverse birth outcomes, there is an urgent need to conduct further research.

Risk factors for depression and anxiety in pregnant women during the COVID-19 pandemic: Evidence from meta-analysis.

BACKGROUND: The prevalence of anxiety and depression in pregnant women has significantly increased after the spread of COVID-19 throughout the world. We carried out this meta-analysis to reveal the information about risk factors for depression and anxiety in pregnant women during the COVID-19 pandemic. METHODS: We searched the PubMed, Embase and CNKI (China National Knowledge Infrastructure) databases for all articles. The odds ratio (OR) corresponding to the 95% confidence interval (95% CI) was used to assess the risk factors for mental health. The statistical heterogeneity among studies was assessed with the Q-test and I2 statistics. RESULTS: We collected 17 studies including 15,050 pregnant women during the COVID-19 pandemic. Our results found that factors including decrease in the perception of general support and difficulties in household finances have damage effects on anxiety, and factors including undereducated, unemployed during pregnancy, with a chronic physical illness before pregnancy, decrease in the perception of general support, difficulties in household finances, disobey the isolation rules, and smoking during pregnancy have increased risk of depression. CONCLUSION: Our meta-analysis revealed some risk factors for mental health in pregnant women during COVID-19 pandemic. Mental health interventions in pregnant women may involve targeted methods individually.

Serum 25(OH) Vitamin D Levels in Pregnant Women with Coronavirus Disease 2019 (COVID-19): A Case-Control Study.

The physiological changes during pregnancy may increase the risk of complications in pregnant women with coronavirus disease 2019 (COVID-19). Vitamin D is a fat-soluble secosteroid hormone and its role in immunity is appears to be of particular importance in this recent pandemic. Nevertheless, there is little research about the role of vitamin D levels regarding COVID-19 in pregnant women to date. This study aimed to establish a relationship between serum 25-hydroxyvitamin D (25(OH)D) levels in pregnant women and COVID-19. A comparative case-control study was performed with a study population of 256 pregnant women (82 pregnant women with infection and 174 women in control group). Serum 25(OH)D levels were significantly lower in pregnant women with COVID-19 infection than in those without infection. In addition, 89% of COVID-19-positive pregnant women had 25(OH)D deficiency, while in the control group the percentage was 75.30%, finding statistically significant differences (ORa = 2.68; 95% CI 1.19-6.06; p = 0.01). Our results find a relationship between vitamin D deficiency in pregnant women and COVID-19 infection. This finding could be relevant for actual clinical practice. Thus, more research is needed in this field.

Antenatal Classes in the Context of Prenatal Anxiety and Depression during the COVID-19 Pandemic.

Perinatal maternal anxiety and depression negatively affect intrauterine fetal development, birth outcome, breastfeeding initiation, duration, and milk composition. Antenatal classes potentially reduce the anxiety of pregnant women and may thus contribute to healthy infant development. The study investigates the relationship between participation in online or in-person antenatal classes and levels of anxiety and depression in Polish women during the COVID-19 pandemic. The study group included 1774 adult, non-smoking pregnant women. We compared the state anxiety (STAI-State) and depression levels (EPDS) in women who (i) attended antenatal classes in-person, (ii) attended online classes, and (iii) did not attend any of them. The statistical analyses included a GLM model and trend analysis, while controlling for maternal trait anxiety, age, pregnancy complications, trimester of pregnancy, previous pregnancies, and COVID-19 infections. We observed statistically significant differences in the level of anxiety (and depression). Women who did attend antenatal classes in person had the lowest levels of anxiety and depression. Considering the importance of maternal mental well-being on fetal development, birth outcome, and breastfeeding, in-person participation in antenatal classes should be recommended to pregnant women.

Pregnancy and neurologic complications of COVID-19: A scoping review.

While neurologic complications are frequently reported among patients with COVID-19 in the general population, they are unknown in pregnant women. This paper summarizes the case reports of pregnant women with confirmed SARS-CoV-2 infection plus a specified neurologic diagnosis. Until November 2021, 18 case reports were found. Both the central and peripheral nervous systems were equally affected: delirium (n = 1), posterior reversible encephalopathy syndrome (n = 4), cerebrovascular disease (n = 2), acute cerebral demyelinating disease (n = 1), acute necrotizing encephalopathy (n = 1), Guillain-Barré syndrome (n = 5), including one patient who also had vestibular neuritis, Bell's palsy (n = 3), and rhabdomyolysis (n = 1). The median maternal age was 32.5 (25-35) years, the median gestational age was 34 (30-36.5) weeks, and 38.9% presented previous medical conditions. Respiratory symptoms were reported in 76.5%, and 76.5% received immunotherapies to treat the COVID-19 or the neurologic complications. Half the women required admission to ICU and, more often, were those with central nervous system involvement (77.8% vs. 22.2%; Chi-square test, p = .018). For 64.7% of women, the most common method of delivery was surgical, although just one case was due to the neurologic complication. There were reports of one spontaneous abortion, two fetal deaths, and no maternal deaths. Only one case presented a poor neurologic outcome. It is possible that our findings are underestimated, considering that there are thousands of reports regarding neurologic complications in the general population with COVID-19.

Comorbidities associated with maternal mortality from COVID-19 in Mexico.

INTRODUCTION: In Mexico, there is a syndemic in pregnant women, where the epidemic of obesity and chronic diseases coexists with that of coronavirus disease 2019 (COVID-19), which has been associated with a higher risk of maternal mortality. OBJECTIVE: To evaluate the association of comorbidities during pregnancy with maternal mortality from COVID-19 in Mexico. MATERIAL AND METHODS: SISVER COVID-19 databases and epidemiological surveillance reports on maternal mortality were used. Multivariate logistic regression models were used to evaluate the association of comorbidities with maternal deaths from COVID-19. RESULTS: A total of 29,416 pregnant women were evaluated, out of which 39% were positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); the risk of maternal mortality was 3.24 times higher (p < 0.01) for positive in comparison with negative women. COVID-19 is the leading cause of maternal death since July 2020 and explains more than 50% of total deaths in 2021. Chronic kidney disease (odds ratio [OR]: 4.11; p < 0.01) and diabetes (OR: 2.53; p < 0.01) were the two main comorbidities that were positively associated with maternal death from COVID-19. CONCLUSION: Comorbidities during pregnancy that are possibly associated with an increase in the inflammatory response and an alteration of the immune response increase the risk of maternal death from COVID-19 in Mexican pregnant women.

INTRODUCCIÓN: En México existe una sindemia en las mujeres gestantes, donde coexiste la epidemia de obesidad y enfermedades crónicas con la de enfermedad por coronavirus 2019 (COVID-19), lo que se ha asociado con un mayor riesgo de mortalidad. OBJETIVO: Evaluar la asociación de las comorbilidades en la mortalidad materna por COVID-19 en México. MATERIAL Y MÉTODOS: Se utilizaron las bases de datos de COVID-19 del SISVER y los reportes de vigilancia epidemiológica de muertes maternas. Se utilizaron modelos de regresión logística multivariante para evaluar la asociación de las comorbilidades durante la gestación con mortalidad materna por COVID-19. RESULTADOS: Se evaluaron 29,416 mujeres embarazadas, el 39% fueron positivas para coronavirus 2 del síndrome respiratorio agudo grave, el riesgo de mortalidad materna fue 3.24 veces mayor (p < 0.01) para las mujeres positivas en comparación con las negativas. La COVID-19 es la primera causa de muerte materna desde julio del 2020 y explica más del 50% del total de muertes en el 2021. La enfermedad renal crónica (razón de momios [RM]: 4.11; p < 0.01) y la diabetes (RM: 2.53; p < 0.01) fueron las dos principales comorbilidades asociadas positivamente a la mortalidad materna por COVID-19. CONCLUSIÓN: Las comorbilidades durante el embarazo posiblemente asociadas con un incremento de la respuesta inflamatoria y alteración de la respuesta inmunitaria incrementan el riesgo de muerte materna por COVID-19 en mujeres gestantes mexicanas.

Factors associated with prenatal stress and anxiety in pregnant women during COVID-19 in Spain.

AIM OF THE STUDY: To describe prenatal stress and state anxiety levels in pregnant women living in Spain during the lockdown of the first wave of COVID-19 and its relation with obstetric factors, perception of health care, and concerns about the socio-sanitary situation. METHODS: The present study is an observational, correlational, and cross-sectional quantitative study. The participants in the study were pregnant women recruited through non-probabilistic convenience and snowball sampling during the lockdown. A web link was provided to an online questionnaire designed for this research, which collected socio-demographic and obstetric variables, perceptions of health care received during the pandemic and preoccupations associated with COVID-19. It also included the Prenatal Stress Questionnaire (PDQ) and the State Anxiety Inventory (STAI-S). RESULTS: Based on the responses of 695 pregnant women, the results showed a mean of 16.98 (SD = 25.20) of prenatal stress and elevated levels of anxiety (M = 25.20/SD = 11.07) in the first wave of the pandemic. Risk factors for prenatal stress and anxiety were the level of preoccupation associated with COVID-19 and previous mental health issues. A specific risk factor for anxiety was having more than one child and a protective factor were perceiving accessibility and availability of health care, with clear and consistent pregnancy care and follow-up protocols. CONCLUSIONS: The lockdown period for COVID-19 was a stressful experience for pregnant women, highlighting the need to address their psychological well-being through clear and coherent protocols in terms of maternal-foetal health control and follow-up.

Effect of initial COVID-19 outbreak during first trimester on pregnancy outcome in Wuxi, China.

BACKGROUND: A hospital-based retrospective study was conducted to examine the effect of initial COVID-19 outbreak during first trimester on pregnancy outcome in Wuxi, China. METHODS: Women who delivered children at our hospital during June 2020 to July 2020 (control group), and October 2020 to December 2020 (exposure group) were recruited in the present study. All of the participants were not infected with COVID-19. The last menstrual period (LMP) of the exposure group was between January 24th, 2020 and March 12th, 2020, whilst in the control group, the LMP was between May 12th and October 31st, 2019. RESULTS: There were 1,456 women in the exposure group and 1,816 women in the control group. Women in the exposure group were more susceptible to hypertension during pregnancy (HDP, P = 0.004, OR[95%CI] = 1.90[1.22-2.95]) and gestational diabetes mellitus (GDM, P = 0.008, OR[95%CI] = 1.31[1.08-1.60]) compared to those in the control group. Mothers diagnosed with HDP were more likely to deliver premature infants, leading to a higher rate of low birth weight (all P < 0.05). The other common outcomes of pregnancy showed no statistical differences between the two groups. CONCLUSIONS: The initial COVID-19 outbreak might increase the incidence rates of HDP and GDM among pregnant women whose first trimesters were during that period, resulting in higher percentages of premature delivery and low birth weight. These results should be confirmed by studies from other hospitals or cities.