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Individualizing Risk Prediction for Positive Coronavirus Disease 2019 Testing: Results From 11,672 Patients.

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TLDR
Relevance of age, race, gender, and socioeconomic characteristics in COVID-19-susceptibility is demonstrated and a potential modifying role of certain common vaccinations and drugs identified in drug-repurposing studies is suggested.
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This article is published in Chest.The article was published on 2020-06-10 and is currently open access. It has received 153 citations till now. The article focuses on the topics: Retrospective cohort study & Cohort.

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Innate Receptor Activation Patterns Involving TLR and NLR Synergisms in COVID-19, ALI/ARDS and Sepsis Cytokine Storms: A Review and Model Making Novel Predictions and Therapeutic Suggestions.

TL;DR: In this paper, the authors proposed that cytokine storms result from synergistic interactions among Toll-like receptors (TLR) and nucleotide-binding oligomerization domain-like receptor (NLR) due to combined infections of SARS-CoV-2 with other microbes, mainly bacterial and fungal.
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Melatonin effects on sleep quality and outcomes of COVID-19 patients: An open-label, randomized, controlled trial.

TL;DR: This clinical trial study showed that the combination of oral melatonin tablets and standard treatment could substantially improve sleep quality and blood oxygen saturation in hospitalized COVID‐19 patients.
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Real-World Experience of Bamlanivimab for COVID-19: A Case-Control Study.

TL;DR: In this article, the authors conducted a case-control study across a single healthcare system of non-hospitalized patients, age 18 years or older, with documented positive SARS-CoV-2 testing, risk factors for severe COVID-19, and referrals for bamlanivimab via emergency use authorization.
Journal ArticleDOI

Effect of influenza vaccine on COVID-19 mortality: a retrospective study.

TL;DR: In this paper, a study aimed at investigating whether the influenza vaccine may reduce the susceptibility and severity of SARS-CoV-2 infection was conducted, which showed that flu vaccination could reduce the mortality of COVID-19.
References
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Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support

TL;DR: Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data Capture tools to support clinical and translational research.
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Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

TL;DR: Wang et al. as discussed by the authors used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death, including older age, high SOFA score and d-dimer greater than 1 μg/mL.
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Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

TL;DR: Characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia, and further investigation is needed to explore the applicability of the Mu LBSTA scores in predicting the risk of mortality in 2019-nCoV infection.
Journal ArticleDOI

The REDCap consortium: Building an international community of software platform partners.

TL;DR: The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006, and a broader consortium sharing and support model was created.
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