Project description:National data on patient characteristics, treatment, and outcomes of critically ill coronavirus disease 2019 (COVID-19) solid organ transplant (SOT) patients are limited. We analyzed data from a multicenter cohort study of adults with laboratory-confirmed COVID-19 admitted to intensive care units (ICUs) at 68 hospitals across the United States from March 4 to May 8, 2020. From 4153 patients, we created a propensity score matched cohort of 386 patients, including 98 SOT patients and 288 non-SOT patients. We used a binomial generalized linear model (log-binomial model) to examine the association of SOT status with death and other clinical outcomes. Among the 386 patients, the median age was 60 years, 72% were male, and 41% were black. Death within 28 days of ICU admission was similar in SOT and non-SOT patients (40% and 43%, respectively; relative risk [RR] 0.92; 95% confidence interval [CI]: 0.70-1.22). Other outcomes and requirement for organ support including receipt of mechanical ventilation, development of acute respiratory distress syndrome, and receipt of vasopressors were also similar between groups. There was a trend toward higher risk of acute kidney injury requiring renal replacement therapy in SOT vs. non-SOT patients (37% vs. 27%; RR [95% CI]: 1.34 [0.97-1.85]). Death and organ support requirement were similar between SOT and non-SOT critically ill patients with COVID-19.
Project description:Single-cell RNA-sequencing reveals a shift from focused IFN alpha-driven signals in COVID-19 ICU patients who survive to broad pro-inflammatory responses in fatal COVID-19 – a feature not observed in severe influenza. We conclude that fatal COVID-19 infection is driven by uncoordinated inflammatory responses that drive a hierarchy of T cell activation, elements of which can serve as prognostic indicators and potential targets for immune intervention.
Project description:ObjectivesNational data on COVID-19 vaccination coverage among pregnant women are limited. We assessed COVID-19 vaccination coverage and intent, factors associated with COVID-19 vaccination, reasons for nonvaccination, and knowledge, attitudes, and beliefs related to COVID-19 illness and vaccination among pregnant women in the United States.MethodsData from an opt-in internet panel survey of pregnant women conducted March 31-April 16, 2021, assessed receipt of ≥1 dose of any COVID-19 vaccine during pregnancy. The sample included 1516 women pregnant any time during December 1, 2020-April 16, 2021, who were not fully vaccinated before pregnancy. We used multivariable logistic regression to determine variables independently associated with receipt of COVID-19 vaccine.ResultsAs of April 16, 2021, 21.7% of pregnant women had received ≥1 dose of COVID-19 vaccine during pregnancy, 24.0% intended to receive a vaccine, 17.2% were unsure, and 37.1% did not intend to receive a vaccine. Pregnant women with (vs without) a health care provider recommendation (adjusted prevalence ratio [aPR] = 4.86), those who lived (vs not) with someone with a condition that could increase risk for serious medical complications of COVID-19 (aPR = 2.11), and those who had received (vs not) an influenza vaccination (aPR = 2.35) were more likely to receive a COVID-19 vaccine. Common reasons for nonvaccination included concerns about safety risk to baby (37.2%) or self (34.6%) and about rapid vaccine development (29.7%) and approval (30.9%).ConclusionsOur findings indicate a continued need to emphasize the benefits of COVID-19 vaccination during pregnancy and to widely disseminate the recommendations of the Centers for Disease Control and Prevention and other clinical professional societies for all pregnant women to be vaccinated.
Project description:Infections caused by SARS-CoV-2 may cause a severe disease, termed COVID-19, with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms, and their modulation is the only therapeutic strategy that has shown a mortality benefit. Herein, we used peripheral blood transcriptomes of critically-ill COVID-19 patients obtained at admission in an Intensive Care Unit, to identify two clusters that, in spite of no major clinical differences, have different gene expression profiles that reveal different underlying pathogenetic mechanisms and ultimately have different ICU outcome. A transcriptomic signature was used to identify these clusters in an external validation cohort, yielding a similar result. These results illustrate the potential of transcriptomic profiles to identify patient endotypes and point to relevant pathogenetic mechanisms in COVID-19.
Project description:Infections caused by SARS-CoV-2 may cause a severe disease, termed COVID-19, with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms, and their modulation is the only therapeutic strategy that has shown a mortality benefit. Herein, we used peripheral blood transcriptomes of critically-ill COVID-19 patients obtained at admission in an Intensive Care Unit, to identify two clusters that, in spite of no major clinical differences, have different gene expression profiles that reveal different underlying pathogenetic mechanisms and ultimately have different ICU outcome. A transcriptomic signature was used to identify these clusters in an external validation cohort, yielding a similar result. These results illustrate the potential of transcriptomic profiles to identify patient endotypes and point to relevant pathogenetic mechanisms in COVID-19.
Project description:Infections caused by SARS-CoV-2 may cause a severe disease, termed COVID-19, with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms, and their modulation is the only therapeutic strategy that has shown a mortality benefit. Herein, we used peripheral blood transcriptomes of critically-ill COVID-19 patients obtained at admission in an Intensive Care Unit, to identify two clusters that, in spite of no major clinical differences, have different gene expression profiles that reveal different underlying pathogenetic mechanisms and ultimately have different ICU outcome. A transcriptomic signature was used to identify these clusters in an external validation cohort, yielding a similar result. These results illustrate the potential of transcriptomic profiles to identify patient endotypes and point to relevant pathogenetic mechanisms in COVID-19.
Project description:Food insecurity is a major social determinant of health affecting more than 10% of Americans. Social determinants of health are increasingly recognized as a driving force of health inequities. It is well established that food insecurity leads to adverse health outcomes outside of pregnancy, such as obesity, hypertension, diabetes mellitus, and mental health problems. However, limited data exist about the impact of food insecurity during pregnancy on maternal and neonatal outcomes. Food insecurity and other social determinants of health are rarely addressed as part of routine obstetrical care. The COVID-19 pandemic has only exacerbated the crisis of food insecurity across the country, disproportionally affecting women and racial and ethnic minorities. Women's health providers should implement universal screening for maternal food insecurity and offer resources to women struggling to feed themselves and their families. Reducing maternal health inequities in the United States involves recognizing and addressing food insecurity, along with other social determinants of health, and advocating for public policies that support and protect all women's right to healthy food during pregnancy.