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Medicine (Baltimore) ; 100(5): e24332, 2021 Feb 05.
Article in English | MEDLINE | ID: covidwho-1087854

ABSTRACT

ABSTRACT: Coronavirus disease 2019 (COVID-19) becomes a global pandemic in 2020. Early identification of severe ill patients is a top priority for clinicians. We aimed to describe clinical features and risk factors of severe-critically ill patients with COVID-19 in Jiangsu Province.This multi-centered retrospective study collected the information of 631 laboratory-confirmed COVID-19 patients hospitalized at 28 authorized hospitals in Jiangsu province from January 23, 2019 to March 13, 2020.A total of 583 adult patients with laboratory-confirmed COVID-19 were enrolled for final analysis, including 84 severe-critically ill patients and 499 mild-moderate patients. Median age of the severe-critically ill patients was 57.0 years old (interquartile range, 49.0-65.8), and 50 (59.5%) were males. Multisystemic laboratory abnormalities were observed on admission for severe-critically ill patients. These patients showed more noticeable radiologic abnormalities and more coexisting health issues as compared to the mild-moderate patients. Most of the severe-critically ill COVID-19 patients became deteriorated in 2 weeks after diagnosis. Age, D-dimer, and lymphocytes were independently associated with the progression of severe-critically illness.Older age, higher D-dimer levels and less lymphocyte counts on admission are potential risk factors for COVID-19 patients to develop into severe and critically illness.


Subject(s)
COVID-19 , Critical Illness/therapy , Fibrin Fibrinogen Degradation Products/analysis , Lymphocyte Count , SARS-CoV-2 , Symptom Assessment/statistics & numerical data , Age Factors , COVID-19/blood , COVID-19/physiopathology , China/epidemiology , Disease Progression , Female , Hospitalization/statistics & numerical data , Humans , Lymphocyte Count/methods , Lymphocyte Count/statistics & numerical data , Male , Middle Aged , Retrospective Studies , Risk Factors , SARS-CoV-2/isolation & purification , SARS-CoV-2/pathogenicity , Severity of Illness Index
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