RESUMO
BACKGROUND: Pregnant and postpartum women infected by COVID-19 are at increased risk of adverse outcomes, including negative effects on their mental health. Brazilian maternal mortality rate due to COVID-19 is 2.5 times higher than overall mortality rates. This study aimed to understand how pregnant/postpartum women experienced the COVID-19 suspicion/investigation or confirmed infection in different Brazilian cities, the pandemic's consequences to women and their families, and their needs to improve maternal health services during public health emergencies. METHODS: We conducted a qualitative study with 27 women with COVID-19 and 6 of their family members, as part of a multicenter study among 15 maternity hospitals in Brazil. We applied in-depth interviews through telephone calls when women received the diagnostic or had a suspect infection and after 60 days. Another semi-structured interview was applied to their close family members. The interviews were considered through thematic analysis. RESULTS: From the thematic content analysis three major themes emerged from the first and second interviews: (Cucinotta and Vanelli, 2020) assistance received by the woman and newborn in the medical services; (World Health Organization (WHO) 2021) stigma/fear of contamination from health workers and from family and friends reported by the women; (Allotey et al., 2020) the COVID-19 pandemic impact. CONCLUSION: Before the availability of the COVID-19 vaccine, pregnant women experienced fear of death, hospitalization, quarantine, loss of family members, and financial repercussions, resulting in physical, psychological, and socioeconomic impacts on these women's lives.
Assuntos
COVID-19 , Gestantes , Pesquisa Qualitativa , Humanos , Feminino , COVID-19/prevenção & controle , COVID-19/psicologia , COVID-19/epidemiologia , Gravidez , Brasil/epidemiologia , Adulto , Gestantes/psicologia , SARS-CoV-2 , Família/psicologia , Complicações Infecciosas na Gravidez/psicologia , Complicações Infecciosas na Gravidez/prevenção & controle , Vacinação/psicologia , Vacinação/estatística & dados numéricosRESUMO
⢠The balanced vaginal microbiome is the main factor defending the vaginal environment against infections. Lactobacilli play a key role in this regard, maintaining the vaginal pH within the normal range (3.8 to 4.5). â¢Hormonal and immune adaptations resulting from pregnancy influence changes in the vaginal microbiome during pregnancy. â¢An altered vaginal microbiome predisposes to human immunodeficiency virus (HIV) infection. â¢Bacterial vaginosis is the main clinical expression of an imbalanced vaginal microbiome. â¢Vulvovaginal candidiasis depends more on the host's conditions than on the etiological agent. â¢Trichomonas vaginalis is a protozoan transmitted during sexual intercourse. â¢The use of probiotics is not approved for use in pregnant women.
Assuntos
Complicações Infecciosas na Gravidez , Vulvovaginite , Humanos , Feminino , Gravidez , Vulvovaginite/microbiologia , Microbiota , Vagina/microbiologia , Vaginose BacterianaRESUMO
OBJECTIVES: To compare maternal and perinatal outcomes among women with obesity, overweight, and normal body mass index, associated with COVID-19 infection during pregnancy and postpartum. METHOD: Prospective Cohort Study, within the REBRACO (Brazilian Network of COVID-19 in Pregnancy) multicenter initiative. Confirmed positive cases of SARS-CoV-2 were included, and women categorized into three groups according to their pre-pregnancy BMI: obesity (BMI ≥ 30), overweight (BMI <30 but >25), and normal BMI. Sociodemographic, clinical, and obstetric characteristics and different maternal and perinatal outcomes were compared, and a multiple regression analysis was performed to investigate factors independently associated with adverse maternal and perinatal outcomes. RESULTS: Two hundred eighty-nine women positive for SARS-CoV-2 infection were considered, and 202 had available data on maternal BMI for the current analysis. Overall, 72 (35.6%)obese, 68 (33.6%) overweight, and 60 (29.7%) normal BMI. Obesity was associated with increased adverse clinical outcomes including sepsis (P = 0.02), acute respiratory distress syndrome (P = 0.002), and the need for mechanical ventilation (P = 0.044). Considering perinatal outcomes, a multiple regression model confirmed obesity as an independent factor associated with adverse results (adjusted odds ratio 3.73, 95% CI 1.54-9.08). CONCLUSION: Obesity and overweight were associated with worse clinical outcomes, severe/critical COVID-19, and adverse perinatal outcomes.
Assuntos
COVID-19 , Complicações na Gravidez , Gravidez , Feminino , Humanos , Sobrepeso/complicações , Sobrepeso/epidemiologia , Estudos de Coortes , Resultado da Gravidez/epidemiologia , Índice de Massa Corporal , Estudos Prospectivos , COVID-19/epidemiologia , COVID-19/complicações , SARS-CoV-2 , Obesidade/complicações , Obesidade/epidemiologia , Período Pós-PartoRESUMO
OBJECTIVE: The objective of this study is to create a new screening for spontaneous preterm birth (sPTB) based on artificial intelligence (AI). METHODS: This study included 524 singleton pregnancies from 18th to 24th-week gestation after transvaginal ultrasound cervical length (CL) analyzes for screening sPTB < 35 weeks. AI model was created based on the stacking-based ensemble learning method (SBELM) by the neural network, gathering CL < 25 mm, multivariate unadjusted logistic regression (LR), and the best AI algorithm. Receiver Operating Characteristics (ROC) curve to predict sPTB < 35 weeks and area under the curve (AUC), sensitivity, specificity, accuracy, predictive positive and negative values were performed to evaluate CL < 25 mm, LR, the best algorithms of AI and SBELM. RESULTS: The most relevant variables presented by LR were cervical funneling, index straight CL/internal angle inside the cervix (≤ 0.200), previous PTB < 37 weeks, previous curettage, no antibiotic treatment during pregnancy, and weight (≤ 58 kg), no smoking, and CL < 30.9 mm. Fixing 10% of false positive rate, CL < 25 mm and SBELM present, respectively: AUC of 0.318 and 0.808; sensitivity of 33.3% and 47,3%; specificity of 91.8 and 92.8%; positive predictive value of 23.1 and 32.7%; negative predictive value of 94.9 and 96.0%. This machine learning presented high statistical significance when compared to CL < 25 mm after T-test (p < .00001). CONCLUSION: AI applied to clinical and ultrasonographic variables could be a viable option for screening of sPTB < 35 weeks, improving the performance of short cervix, with a low false-positive rate.
Assuntos
Nascimento Prematuro , Gravidez , Feminino , Recém-Nascido , Humanos , Nascimento Prematuro/diagnóstico , Nascimento Prematuro/prevenção & controle , Inteligência Artificial , Medida do Comprimento Cervical/métodos , Valor Preditivo dos Testes , Curva ROC , Colo do Útero/diagnóstico por imagemRESUMO
OBJECTIVE: To evaluate the impact of the race (Black versus non-Black) on maternal and perinatal outcomes of pregnant women with COVID-19 in Brazil. METHODS: This is a subanalysis of REBRACO, a Brazilian multicenter cohort study designed to evaluate the impact of COVID-19 on pregnant women. From February 2020 until February 2021, 15 maternity hospitals in Brazil collected data on women with respiratory symptoms. We selected all women with a positive test for COVID-19; then, we divided them into two groups: Black and non-Black women. Finally, we compared, between groups, sociodemographic, maternal, and perinatal outcomes. We obtained the frequency of events in each group and compared them using X2 test; p-values < 0.05 were considered significant. We also estimated the odds ratio (OR) and confidence intervals (CI). RESULTS: 729 symptomatic women were included in the study; of those, 285 were positive for COVID-19, 120 (42.1%) were Black, and 165 (57.9%) were non-Black. Black women had worse education (p = 0.037). The timing of access to the health system was similar between both groups, with 26.3% being included with seven or more days of symptoms. Severe acute respiratory syndrome (OR 2.22 CI 1.17-4.21), intensive care unit admission (OR 2.00 CI 1.07-3.74), and desaturation at admission (OR 3.72 CI 1.41-9.84) were more likely to occur among Black women. Maternal death was higher among Black women (7.8% vs. 2.6%, p = 0.048). Perinatal outcomes were similar between both groups. CONCLUSION: Brazilian Black women were more likely to die due to the consequences of COVID-19.
OBJETIVO: Avaliar o impacto da raça (negra versus não negra) nos desfechos maternos e perinatais de gestantes com COVID-19 no Brasil. MéTODOS: Esta é uma subanálise da REBRACO, um estudo de coorte multicêntrico brasileiro desenhado para avaliar o impacto da COVID-19 em mulheres grávidas. De fevereiro de 2020 a fevereiro de 2021, 15 maternidades do Brasil coletaram dados de mulheres com sintomas respiratórios. Selecionamos todas as mulheres com teste positivo para COVID-19; em seguida, as dividimos em dois grupos: mulheres negras e não negras. Finalmente, comparamos, entre os grupos, os resultados sociodemográficos, maternos e perinatais. Obtivemos a frequência dos eventos em cada grupo e comparamos usando o teste X2; Valores de p < 0,05 foram considerados significativos. Também estimamos o odds ratio (OR) e os intervalos de confiança (IC). RESULTADOS: 729 mulheres sintomáticas foram incluídas no estudo; desses, 285 foram positivos para COVID-19, 120 (42,1%) eram negros e 165 (57,9%) não eram negros. As mulheres negras apresentaram pior escolaridade (p = 0,037). O tempo de acesso ao sistema de saúde foi semelhante entre os dois grupos, com 26,3% incluídos com sete ou mais dias de sintomas. Síndrome respiratória aguda grave (OR 2,22 CI 1,174,21), admissão em unidade de terapia intensiva (OR 2,00 CI 1,073,74) e dessaturação na admissão (OR 3,72 CI 1,419,84) foram mais prováveis de ocorrer entre mulheres negras. A mortalidade materna foi maior entre as negras (7,8% vs. 2,6%, p = 0,048). Os resultados perinatais foram semelhantes entre os dois grupos. CONCLUSãO: Mulheres negras brasileiras tiveram maior probabilidade de morrer devido às consequências da COVID-19.
Assuntos
COVID-19 , Complicações Infecciosas na Gravidez , Feminino , Humanos , Gravidez , COVID-19/epidemiologia , Brasil/epidemiologia , SARS-CoV-2 , Estudos de Coortes , Hospitalização , Complicações Infecciosas na Gravidez/epidemiologiaRESUMO
Abstract Objective To evaluate the impact of the race (Black versus non-Black) on maternal and perinatal outcomes of pregnant women with COVID-19 in Brazil. Methods This is a subanalysis of REBRACO, a Brazilian multicenter cohort study designed to evaluate the impact of COVID-19 on pregnant women. From February2020 until February 2021, 15 maternity hospitals in Brazil collected data on women with respiratory symptoms. We selected all women with a positive test for COVID-19; then, we divided them into two groups: Black and non-Black women. Finally, we compared, between groups, sociodemographic, maternal, and perinatal outcomes. We obtained the frequency of events in each group and compared them using X2 test; p-values < 0.05 were considered significant. We also estimated the odds ratio (OR) and confidence intervals (CI). Results 729 symptomatic women were included in the study; of those, 285 were positive for COVID-19, 120 (42.1%) were Black, and 165 (57.9%) were non-Black. Black women had worse education (p = 0.037). The timing of access to the health system was similar between both groups, with 26.3% being included with seven or more days of symptoms. Severe acute respiratory syndrome (OR 2.22 CI 1.17-4.21), intensive care unit admission (OR 2.00 CI 1.07-3.74), and desaturation at admission (OR 3.72 CI 1.41-9.84) were more likely to occur among Black women. Maternal death was higher among Black women (7.8% vs. 2.6%, p = 0.048). Perinatal outcomes were similar between both groups. Conclusion Brazilian Black women were more likely to die due to the consequences of COVID-19.
Resumo Objetivo Avaliar o impacto da raça (negra versus não negra) nos desfechos maternos e perinatais de gestantes com COVID-19 no Brasil. Métodos Esta é uma subanálise da REBRACO, um estudo de coorte multicêntrico brasileiro desenhado para avaliar o impacto da COVID-19 em mulheres grávidas. De fevereiro de 2020 a fevereiro de 2021, 15 maternidades do Brasil coletaram dados de mulheres com sintomas respiratórios. Selecionamos todas as mulheres com teste positivo para COVID-19; em seguida, as dividimos em dois grupos: mulheres negras e não negras. Finalmente, comparamos, entre os grupos, os resultados sociodemográficos, maternos e perinatais. Obtivemos a frequência dos eventos em cada grupo e comparamos usando o teste X2; Valores de p <0,05 foram considerados significativos. Também estimamos o odds ratio (OR) e os intervalos de confiança (IC). Resultados 729 mulheres sintomáticas foram incluídas no estudo; desses, 285 foram positivos para COVID-19, 120 (42,1%) eram negros e 165 (57,9%) não eram negros. As mulheres negras apresentaram pior escolaridade (p = 0,037). O tempo de acesso ao sistema de saúde foi semelhante entre os dois grupos, com 26,3% incluídos com sete ou mais dias de sintomas. Síndrome respiratória aguda grave (OR 2,22 CI 1,17-4,21), admissão em unidade de terapia intensiva (OR 2,00 CI 1,07-3,74) e dessaturação na admissão (OR 3,72 CI 1,41-9,84) foram mais prováveis de ocorrer entre mulheres negras. A mortalidade materna foi maior entre as negras (7,8% vs. 2,6%, p = 0,048). Os resultados perinatais foram semelhantes entre os dois grupos. Conclusão Mulheres negras brasileiras tiveram maior probabilidade de morrer devido às consequências da COVID-19.
Assuntos
Humanos , Feminino , Racismo , COVID-19/complicaçõesRESUMO
Brazil presented a very high number of maternal deaths and evident delays in healthcare. We aimed at evaluating the characteristics of SARS-CoV-2 infection and associated outcomes in the obstetric population. We conducted a prospective cohort study in 15 Brazilian centers including symptomatic pregnant or postpartum women with suspected COVID-19 from Feb/2020 to Feb/2021. Women were followed from suspected infection until the end of pregnancy. We analyzed maternal characteristics and pregnancy outcomes associated with confirmed COVID-19 infection and SARS, determining unadjusted risk ratios. In total, 729 symptomatic women with suspected COVID-19 were initially included. Among those investigated for COVID-19, 51.3% (n = 289) were confirmed COVID-19 and 48% (n = 270) were negative. Initially (before May 15th), only 52.9% of the suspected cases were tested and it was the period with the highest proportion of ICU admission and maternal deaths. Non-white ethnicity (RR 1.78 [1.04-3.04]), primary schooling or less (RR 2.16 [1.21-3.87]), being overweight (RR 4.34 [1.04-19.01]) or obese (RR 6.55 [1.57-27.37]), having public prenatal care (RR 2.16 [1.01-4.68]), planned pregnancies (RR 2.09 [1.15-3.78]), onset of infection in postpartum period (RR 6.00 [1.37-26.26]), chronic hypertension (RR 2.15 [1.37-4.10]), pre-existing diabetes (RR 3.20 [1.37-7.46]), asthma (RR 2.22 [1.14-4.34]), and anaemia (RR 3.15 [1.14-8.71]) were associated with higher risk for SARS. The availability of tests and maternal outcomes varied throughout the pandemic period of the study; the beginning was the most challenging period, with worse outcomes. Socially vulnerable, postpartum and previously ill women were more likely to present SARS related to COVID-19.