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The new coronavirus disease (COVID-19) has caused more than 1.8 million deaths, with a fatality rate of 2.5% in more than 200 countries as of January 4, 2021. Analysis of COVID-19 clinical features can help predict disease severity and risk of mortality, early identification of high-risk patients, and provide knowledge to inform clinical interventions.

The purpose of this study is to investigate the clinical characteristics and possible predictors associated with mortality in patients with COVID-19 admitted to King Fahad (KFH), Ohood, and Miqat hospitals in Madina, Saudi Arabia.

This retrospective observational study to investigate the clinical characteristic and possible predictors associated with mortality for those 119 mild, moderate, or critically ill patients confirmed by laboratory results to have COVID-19 who were admitted to three hospitals in Madina, Saudi Arabia, from March 25, 2020, to July 30, 2020. Data were collected from December 1, 2020, to December 14, 2020.

Of the 119 patients includcohort, COVID-19 patients within the older age group (≥65 years) admitted to the ICU with increased C-reactive protein levels in particular, were associated with increased odds of mortality. Further clinical observations are warranted to support these findings and enhance the mapping and control of this pandemic.
In this cohort, COVID-19 patients within the older age group (≥65 years) admitted to the ICU with increased C-reactive protein levels in particular, were associated with increased odds of mortality. Further clinical observations are warranted to support these findings and enhance the mapping and control of this pandemic.In developing countries, the acute gastroenteritis outbreaks submitted for viral testing are limited due to deficient surveillance programs. The aim of this study was to analyze a passive surveillance strategy for monitoring the molecular epidemiology of norovirus (NV) and counterbalance the genetic diversity data gap. Laboratory-confirmed rotavirus negative sporadic stool samples (N = 523) collected between 2010 and 2017 from children were selected from our archival collection and were tested for NV and sequencing was performed on the positive samples. Passive surveillance information was compared with the genetic diversity data that was available from local norovirus-confirmed gastroenteritis outbreaks. Each year, norovirus detection in the sporadic samples ranged from 12 to 29%. GI and GII norovirus were detected in 7 (1.3%) and 101 (19.3%) of the specimens, respectively. Four GI and six GII capsid genotypes were identified. Six out of 9 strains detected in the NV outbreaks panel were also identified in the set of sporadic samples either coincidently in the same year, the previous or the later year. Also, this set of samples depicted even better the circulating epidemic strain. Bcl-2 activation Thus, implementing norovirus testing and genotyping in stool samples collected with other purposes represent a suitable strategy for providing genetic diversity information.
Cytokine storm is a marker of severity and severe mortality in patients with coronavirus disease 2019 (COVID-19) pneumonia. Immunomodulatory treatments may reduce morbidity and mortality.

To determine whether a 7-day course of methylprednisolone (MP) administered with and without tocilizumab improves outcomes in patients with severe COVID-19 (SARS-CoV-2) pneumonia requiring oxygen therapy, relative to historical controls.

In this randomized controlled study, patients hospitalized with severe COVID-19 at Rashid Hospital, Dubai, in June 2020 were randomized 11 to receive intravenous MP (40 mg twice daily for 7 days) with or without a single dose of intravenous tocilizumab (400 mg). While data from the control arm, consisting of patients administered usual care, were obtained through retrospective review of their electronic medical records. The patients in the three arms were matched by disease severity and inclusion and exclusion criteria. The primary outcomes were day 45 all-cause mortality after randomi on oxygen support, administration of MP daily for 7 days had reduced mortality at 45 days and was associated with significantly lower ICU admission and ventilation rates compared with usual. Adding tocilizumab to MP did not improve any of the studied outcomes significantly.
In patients with severe COVID-19 pneumonia on oxygen support, administration of MP daily for 7 days had reduced mortality at 45 days and was associated with significantly lower ICU admission and ventilation rates compared with usual. Adding tocilizumab to MP did not improve any of the studied outcomes significantly.
An unidentified cluster of pneumonia was identified in Wuhan city of China in the last week of December 2019, named Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-COV-2). The current study explored the predictors associated with critical illness and mortality based on symptoms at the time of admission and initial physical examination findings in patients with SARS-CoV-2.

A total of 249 records of laboratory-confirmed SARS-COV-2 patients were analyzed. Demographic profile and findings of initial physical examination were collected and analyzed. Bivariate logistic and multivariable stepwise forward regression analysis was used to identify the predictors of critical illness and mortality.

A total of 249 records of SARS-COV-2 patients were retrospectively studied, of whom 66 (26.5%) developed a critical illness, and 58 (23.29%) died. The mean age of patients was 45.15 (16.34) years; 171 (68.71%) were men. From 27 potential predictors for developing a critical illness, 15 were reported independent predictors for critical illness, and 13 were for increased risk of mortality. Stepwise forward regression reported dyspnea as a single strongest predictor (OR, 5.800, 95% CI-2.724-12.346; p = 0.001, R
= 0.272) to develop critical illness. Likewise, the respiratory rate was alone reported as a strong predictor (OR, 1.381, 95% CI- 1.251-1.525; p = 0.000, R
= 0.329) for mortality.

Coronavirus disease is a new challenge to the medical fraternity, leading to significant morbidity and mortality. Knowledge of potential risk factors could help clinicians assess patients' risk with unfavourable outcomes and improve hospitalization decisions in the early stage.
Coronavirus disease is a new challenge to the medical fraternity, leading to significant morbidity and mortality. Knowledge of potential risk factors could help clinicians assess patients' risk with unfavourable outcomes and improve hospitalization decisions in the early stage.
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