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Hot Topics of the Day|PHGKB
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09/23/2020

Hot Topics of the Day are picked by experts to capture the latest information and publications on public health genomics and precision health for various diseases and health topics. Sources include published scientific literature, reviews, blogs and popular press articles.

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COVID-19 Science Updates
CDC, 2020 Brand

This series, the first of its kind for a CDC emergency response, provides brief summaries of new COVID-19-related studies on many topics, including epidemiology, clinical treatment and management, laboratory science, and modeling. These summaries are released every Tuesday and Friday.

Risk Factors for Hospitalization, Mechanical Ventilation, or Death Among 10 131 US Veterans With SARS-CoV-2 Infection
GN Ioannou et al, JAMA Network Open, September 23, 2020

In this national cohort of VA patients, most SARS-CoV-2 deaths were associated with older age, male sex, and comorbidity burden. Many factors previously reported to be associated with mortality in smaller studies were not confirmed, such as obesity, Black race, Hispanic ethnicity, chronic obstructive pulmonary disease, hypertension, and smoking.

Patterns of COVID-19 testing and mortality by race and ethnicity among United States veterans: A nationwide cohort study.
Rentsch Christopher T et al. PLoS medicine 2020 Sep (9) e1003379

In this nationwide study, we found that Black and Hispanic individuals are experiencing an excess burden of SARS-CoV-2 infection not entirely explained by underlying medical conditions or where they live or receive care. There is an urgent need to proactively tailor strategies to contain and prevent further outbreaks in racial and ethnic minority communities.

The effect of ABO blood group and antibody class on the risk of COVID-19 infection and severity of clinical outcomes.
M AlMadhi et al, MEDRXIV, September 22, 2020

Monitoring SARS-CoV-2 circulation and diversity through community wastewater sequencing
RW Isquerdo Lara et al, MEDRXIV, September 22, 2020

Racial/Ethnic Disparities in Hospital Admissions from COVID-19 and Determining the Impact of Neighborhood Deprivation and Primary Language.
ME Ingraham et al, MEDRXIV, September 22, 2020

Development and validation of a machine learning model for predicting illness trajectory and hospital resource utilization of COVID-19 hospitalized patients - a nationwide study
M Roimi et al, MEDRXIV, September 22, 2020

An analysis of clinical and geographical metadata of over 75,000 records in the GISAID COVID-19 database
A Velasquez et al, MEDRXIV, September 23, 2020

Epidemiology and precision of SARS-CoV-2 detection following lockdown and relaxation measures
K Leuzinger et al, MEDRXIV, September 23, 2020

Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population
A Ward et al, NPJ Digital Medicine, September 23, 2020

We developed ML models for ASCVD risk prediction for multi-ethnic patients using an electronic health record (EHR) database from Northern California. Overall, ML models achieved comparable or improved performance compared to the PCE while allowing risk discrimination in a larger group of patients including PCE-ineligible patients.


Disclaimer: Articles listed in Hot Topics of the Day are selected by Public Health Genomics Branch to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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