SARS-CoV-2 infection in pregnancy in Denmark - characteristics and outcomes after confirmed infection in pregnancy: a nationwide, prospective, population-based cohort study

Introduction Assessing the risk factors for and consequences of infection with SARS-CoV-2 during pregnancy is essential to guide clinical guidelines and care. Previous studies on the influence of SARS-CoV-2 infection in pregnancy have been among hospitalised patients, which may have exaggerated risk estimates of severe outcomes because all cases of SARS-CoV-2 infection in the pregnant population were not included. The objectives of this study were to identify risk factors for and outcomes after SARS-CoV-2 infection in pregnancy independent of severity of infection in a universally tested population, and to identify risk factors for and outcomes after severe infection requiring hospital admission. Material and Methods This was a prospective population-based cohort study in Denmark using data from the Danish National Patient Register and Danish Microbiology Database and prospectively registered data from medical records. We included all pregnancies between March 1 and October 31, 2020 and compared women with a positive SARS-CoV-2 test during pregnancy to non-infected pregnant women. Cases of SARS-CoV-2 infection in pregnancy were both identified prospectively and through register linkage to secure that all cases were identified and that cases were pregnant during infection. Main outcome measures were pregnancy, delivery, maternal, and neonatal outcomes. Severe infection was defined as hospital admission due to COVID-19. Results Among 82 682 pregnancies, 418 women had SARS-CoV-2 infection during pregnancy, corresponding to an incidence of 5.1 per 1000 pregnancies, 23 (5.5%) of which required hospital admission due to COVID-19. Risk factors for infection were asthma (OR 2.19 [1.41-3.41]) and being foreign born (OR 2.12 [1.70-2.64]). Risk factors for hospital admission due to COVID-19 included obesity (OR 2.74 [1.00-7.51]), smoking (OR 4.69 [1.58-13.90]), infection after gestational age (GA) 22 weeks (GA 22-27 weeks: OR 3.77 [1.16-12.29]; GA 28-36 weeks: OR 4.76 [1.60-14.12]) and having asthma (OR 4.53 [1.39-14.79]). We found no difference in any obstetric or neonatal outcomes. Conclusions Only 1 in 20 women with SARS-CoV-2 infection during pregnancy require admission to hospital due to COVID-19. And severe outcomes of SARS-CoV-2 infection in pregnancy are rare.

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Risk Factors for Hospital Admission with RSV Bronchiolitis in England: A Population-Based Birth Cohort Study

PLoS ONE ◽

10.1371/journal.pone.0089186 ◽

2014 ◽

Vol 9 (2) ◽

pp. e89186 ◽

Cited By ~ 95

Author(s):

Joanna Murray ◽

Alex Bottle ◽

Mike Sharland ◽

Neena Modi ◽

Paul Aylin ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Hospital Admission ◽

Birth Cohort ◽

Population Based ◽

Birth Cohort Study

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Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study

BMJ Open ◽

10.1136/bmjopen-2020-041989 ◽

2020 ◽

Vol 10 (11) ◽

pp. e041989

Author(s):

Jung Gil Park ◽

Min Kyu Kang ◽

Yu Rim Lee ◽

Jeong Eun Song ◽

Na Young Kim ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Hospital Mortality ◽

Proportional Hazards ◽

Severe Infection ◽

Cox Proportional Hazards ◽

Respiratory Support ◽

Hospitalised Patients ◽

Multicentre Cohort Study ◽

Multicentre Cohort

ObjectiveThe reliable risk factors for mortality of COVID-19 has not evaluated in well-characterised cohort. This study aimed to identify risk factors for in-hospital mortality within 56 days in patients with severe infection of COVID-19.DesignRetrospective multicentre cohort study.SettingFive tertiary hospitals of Daegu, South Korea.Participants1005 participants over 19 years old confirmed COVID-19 using real-time PCR from nasopharyngeal and oropharyngeal swabs.MethodsThe clinical and laboratory features of patients with COVID-19 receiving respiratory support were analysed to ascertain the risk factors for mortality using the Cox proportional hazards regression model. The relationship between overall survival and risk factors was analysed using the Kaplan-Meier method.OutcomeIn-hospital mortality for any reason within 56 days.ResultsOf the 1005 patients, 289 (28.8%) received respiratory support, and of these, 70 patients (24.2%) died. In multivariate analysis, high fibrosis-4 index (FIB-4; HR 2.784), low lymphocyte count (HR 0.480), diabetes (HR 1.917) and systemic inflammatory response syndrome (HR 1.714) were found to be independent risk factors for mortality in patients with COVID-19 receiving respiratory support (all p<0.05). Regardless of respiratory support, survival in the high FIB-4 group was significantly lower than in the low FIB-4 group (28.8 days vs 44.0 days, respectively, p<0.001). A number of risk factors were also significantly related to survival in patients with COVID-19 regardless of respiratory support (0–4 risk factors, 50.2 days; 49.7 days; 44.4 days; 32.0 days; 25.0 days, respectively, p<0.001).ConclusionFIB-4 index is a useful predictive marker for mortality in patients with COVID-19 regardless of its severity.

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Paternal country of origin and adverse neonatal outcomes in births to foreign-born women in Norway: A population-based cohort study

PLoS Medicine ◽

10.1371/journal.pmed.1003395 ◽

2020 ◽

Vol 17 (11) ◽

pp. e1003395

Author(s):

Eline S. Vik ◽

Vigdis Aasheim ◽

Roy M. Nilsen ◽

Rhonda Small ◽

Dag Moster ◽

...

Keyword(s):

Cohort Study ◽

Country Of Origin ◽

Population Based ◽

Neonatal Outcomes ◽

Foreign Born ◽

Adverse Neonatal Outcomes

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Pre-Pregnancy Risk Factors for Severe Hyperemesis Gravidarum: Korean Population Based Cohort Study

Life ◽

10.3390/life11010012 ◽

2020 ◽

Vol 11 (1) ◽

pp. 12

Author(s):

Ho Yeon Kim ◽

Geum Joon Cho ◽

So Yeon Kim ◽

Kyu-Min Lee ◽

Ki Hoon Ahn ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Hospital Admission ◽

Pregnant Women ◽

National Health ◽

Hyperemesis Gravidarum ◽

Population Based ◽

Pregnancy Risk ◽

Female Fetus ◽

Increased Risk

Hyperemesis gravidarum is known to be associated with poor perinatal outcomes. This study aimed to identify pre-pregnancy risk factors for hospital admission in women with hyperemesis gravidarum. We enrolled women who had delivered between 1 January 2013 and 31 December 2015, and had undergone a national health screening examination through the National Health Insurance Corporation 1–2 years before their first delivery. Multiple logistic regression analysis was performed to estimate the risk factors for hospital admission due to hyperemesis gravidarum. Of the 216,373 study participants with hyperemesis gravidarum, 2210 (1.02%) pregnant women were hospitalized. These women had lower waist circumference and were underweight based on body mass index compared to pregnant women who did not require hospitalization due to hyperemesis gravidarum. On multivariate analysis, primiparity, multiple pregnancies, female fetus, alcohol consumption, and pre-pregnancy underweight status were associated with an increased risk of hospitalization due to the condition. In this population-based cohort study, we found that hospitalization due to hyperemesis gravidarum was associated with pre-pregnancy lifestyle characteristics. Early recognition and management of these pre-pregnancy factors may help control the need for hospitalization in women with the condition in subsequent pregnancies.

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Faculty Opinions recommendation of Association between waiting times and short term mortality and hospital admission after departure from emergency department: population based cohort study from Ontario, Canada.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.11812956.12909054 ◽

2011 ◽

Author(s):

Patrick Ray

Keyword(s):

Emergency Department ◽

Cohort Study ◽

Hospital Admission ◽

Waiting Times ◽

Population Based ◽

Short Term ◽

Short Term Mortality

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Characteristics, outcomes and risk factors for mortality of 522 167 patients hospitalised with COVID-19 in Brazil: a retrospective cohort study

BMJ Open ◽

10.1136/bmjopen-2021-049089 ◽

2021 ◽

Vol 11 (5) ◽

pp. e049089

Author(s):

Marcia C Castro ◽

Susie Gurzenda ◽

Eduardo Marques Macário ◽

Giovanny Vinícius A França

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Cox Proportional Hazards ◽

Secondary Outcome ◽

Hospital Death ◽

Factors Associated ◽

Icu Admission ◽

Hospitalised Patients

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort study of hospitalised patients diagnosed with COVID-19.SettingData from all hospitals across Brazil.Participants522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19.Primary and secondary outcome measuresPrevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression.ResultsOf the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47–73), and of non-survivors 71 years (IQR, 60–80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3–9) and 7 days (IQR, 3–10), respectively; 15 days (IQR, 9–24) to death and 15 days (IQR, 11–20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20.ConclusionsCharacteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.

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Prenatal electrocardiogram testing and postpartum depression: A population-based cohort study

Obstetric Medicine ◽

10.1177/1753495x211012502 ◽

2021 ◽

pp. 1753495X2110125

Author(s):

Jonathan S Zipursky ◽

Deva Thiruchelvam ◽

Donald A Redelmeier

Keyword(s):

Cohort Study ◽

Postpartum Depression ◽

Pregnant Women ◽

Odds Ratio ◽

Population Based ◽

Relative Increase ◽

Organic Disease ◽

Increased Risk ◽

Clinical Clue ◽

In Pregnancy

Background Cardiovascular symptoms in pregnancy may be a clue to psychological distress. We examined whether electrocardiogram testing in pregnant women is associated with an increased risk of subsequent postpartum depression. Methods We conducted a population-based cohort study of pregnant women who delivered in Ontario, Canada comparing women who received a prenatal ECG to women who did not. Results In total, 3,238,218 women gave birth during the 25-year study period of whom 157,352 (5%) received an electrocardiogram during prenatal care. Receiving an electrocardiogram test was associated with a one-third relative increase in the odds of postpartum depression (odds ratio 1.34; 95% confidence interval 1.29–1.39, p < 0.001). Conclusion The association between prenatal electrocardiogram testing and postpartum depression suggests a possible link of organic disease with mental illness, and emphasizes that cardiovascular symptoms may be a clinical clue to the presence of an underlying mood disorder.

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