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Open AccessJournal ArticleDOI

Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes.

TLDR
In this article, the authors investigated body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID19 outcomes, and found that these predictors are significantly more likely to lead to more severe outcomes.
Abstract
PurposeThe purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes.PatientsPatients from this study are f...

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Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality

TL;DR: In this paper , the authors evaluated care utilization, cost, and mortality among high-risk patients enrolled in a coronavirus disease 2019 (COVID-19) remote patient monitoring (RPM) program.
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IgG Antibody Response to the Pfizer BNT162b2 SARS-CoV-2 Vaccine in Healthcare Workers with Healthy Weight, Overweight, and Obesity

TL;DR: The results indicate that the magnitude and durability of the antibody response to mRNA-based vaccines are unaffected by BMI in this cohort of vaccinated individuals.
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Late Adulthood, COVID-19-Related Stress Perceptions, Meaning in Life, and Forgiveness as Predictors of Mental Health During the COVID-19 Pandemic.

TL;DR: In this article, the authors examined multiple direct and indirect pathways of the association between older age and mental health through COVID-19-related stress perceptions, meaning in life, and forgiveness of situations.
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The Effect of COVID-19 Perceived Risk on Internet Addiction among College Students in China: An Empirical Study Based on the Structural Equation Model

TL;DR: In this article , a mediating model was proposed to evaluate the mediating role of difficulties in regulating emotion between the COVID-19 perceived risk and Internet addiction among Chinese college students during the lockdown.
References
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Journal ArticleDOI

A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation☆

TL;DR: The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death fromComorbid disease for use in longitudinal studies and further work in larger populations is still required to refine the approach.
Journal ArticleDOI

A pneumonia outbreak associated with a new coronavirus of probable bat origin

TL;DR: Identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China, and it is shown that this virus belongs to the species of SARSr-CoV, indicates that the virus is related to a bat coronav virus.
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Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

TL;DR: A multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms found these newly developed algorithms produce similar estimates ofComorbidity prevalence in administrativeData, and may outperform existing I CD-9-CM coding algorithms.
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