Early Warning Scores at Time of ICU Admission to Predict Mortality in Critically Ill COVID-19 Patients | Zendy

Asha Tyagi | Zendy; Surbhi Tyagi | Zendy; Ananya Agrawal | Zendy; Aparna Mohan | Zendy; Devansh Garg | Zendy; Rashmi Salhotra | Zendy; Ashok Kumar Saxena | Zendy; Ashish Goel | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Early Warning Scores at Time of ICU Admission to Predict Mortality in Critically Ill COVID-19 Patients

Author(s) -

Asha Tyagi,

Surbhi Tyagi,

Ananya Agrawal,

Aparna Mohan,

Devansh Garg,

Rashmi Salhotra,

Ashok Kumar Saxena,

Ashish Goel

Publication year - 2021

Publication title -

disaster medicine and public health preparedness

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.492

H-Index - 41

eISSN - 1938-744X

pISSN - 1935-7893

DOI - 10.1017/dmp.2021.208

Subject(s) - early warning score , medicine , receiver operating characteristic , glasgow coma scale , intensive care unit , emergency medicine , confidence interval , systemic inflammatory response syndrome , hazard ratio , vital signs , mews , severity of illness , intensive care medicine , sepsis , anesthesia

To assess ability of National Early Warning Score 2 (NEWS2), systemic inflammatory response syndrome (SIRS), quick Sequential Organ Failure Assessment (qSOFA), and CRB-65 calculated at the time of intensive care unit (ICU) admission for predicting ICU mortality in patients of laboratory confirmed coronavirus disease 2019 (COVID-19) infection.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research