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Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study.

TLDR
Age ≥65 years, pre-existing concurrent cardiovascular or cerebrovascular diseases, CD3+CD8+ T-cells ≤75 cells·μL−1 and cardiac troponin I ≥0.05 ng·mL−1 were four risk factors predicting high mortality of COVID-19 pneumonia patients.
Abstract
The aim of this study was to identify factors associated with the death of patients with COVID-19 pneumonia caused by the novel coronavirus SARS-CoV-2. All clinical and laboratory parameters were collected prospectively from a cohort of patients with COVID-19 pneumonia who were hospitalised to Wuhan Pulmonary Hospital (Wuhan City, Hubei Province, China) between 25 December 2019 and 7 February 2020. Univariate and multivariate logistic regression was performed to investigate the relationship between each variable and the risk of death of COVID-19 pneumonia patients. In total, 179 patients with COVID-19 pneumonia (97 male and 82 female) were included in the present prospective study, of whom 21 died. Univariate and multivariate logistic regression analysis revealed that age ≥65 years (OR 3.765, 95% CI 1.146‒17.394; p=0.023), pre-existing concurrent cardiovascular or cerebrovascular diseases (OR 2.464, 95% CI 0.755‒8.044; p=0.007), CD3+CD8+ T-cells ≤75 cells·μL−1 (OR 3.982, 95% CI 1.132‒14.006; p We identified four risk factors: age ≥65 years, pre-existing concurrent cardiovascular or cerebrovascular diseases, CD3+CD8+ T-cells ≤75 cells·μL−1 and cardiac troponin I ≥0.05 ng·mL−1. The latter two factors, especially, were predictors for mortality of COVID-19 pneumonia patients.

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Prognostic Performance of Shock Index, Diastolic Shock Index, Age Shock Index, and Modified Shock Index in COVID-19 Pneumonia

TL;DR: The results of this study show that SI, dSI, mSI, and aSI are effective in predicting in-hospital mortality.
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Telemedicine in cardiology outpatient clinic: First experience from a tertiary medical center during the COVID-19 pandemic

TL;DR: Telemedicine is a potential alternative for continuing healthcare delivery to most of the cardiac patients during the COVID-19 pandemic and future research comparing other digital health tools is needed to accurately assess its use in cardiological care.
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Clinical and Laboratory Profile of COVID-19 Patients Presenting to a Tertiary Care Hospital in Jaipur, Rajasthan: An Observational Study

TL;DR: The clinical and laboratory profile of 187 coronavirus disease 2019 (COVID-19) patients admitted to a tertiary care hospital in Jaipur, Rajasthan, India is reported, and a higher proportion of patients in the mortality group had severe disease as compared to the recovered group.
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Modeling COVID-19 transmission between age groups in the United States considering virus mutations, vaccinations, and reinfection

TL;DR: In this article , the SIRDV-Virulence (Susceptible-Infected-Recovered-dead-Vaccinated-Virus) epidemiological model was developed based on a population balance equation to study the effects virus mutants, vaccination strategies, anti/non-vaxxer proportions, and reinfection rates to provide methods to mitigate COVID-19 transmission among the United States population.
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Risk Assessment of COVID-19 Infection among the Elderly Population.

TL;DR: In this article , the authors assessed the risk profile of COVID-19 infection in the elderly population and found that the total count, neutrophil lymphocyte ratio, ESR, urea, creatinine, interleukin 6, D-dimer, and blood sugar value were significantly associated with non-survival even after adjustment for age and gender.
References
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Journal ArticleDOI

A Novel Coronavirus from Patients with Pneumonia in China, 2019.

TL;DR: Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily, which is the seventh member of the family of coronaviruses that infect humans.
Journal ArticleDOI

Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

TL;DR: The epidemiological and clinical characteristics of novel coronavirus (2019-nCoV)-infected pneumonia in Wuhan, China, and hospital-associated transmission as the presumed mechanism of infection for affected health professionals and hospitalized patients are described.
Journal ArticleDOI

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.
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