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Respir Med ; 174: 106203, 2020.
Article Dans Anglais | MEDLINE | ID: covidwho-894196

Résumé

BACKGROUND: Although many patients with coronavirus disease 2019 (Covid-19) require direct admission to the intensive care unit (ICU), some are sent after admission. Clinicians require an understanding of this phenomenon and various risk stratification approaches for recognizing these subjects. METHODS: We examined all Covid-19 patients sent initially to a ward who subsequently required care in the ICU. We examined the timing transfer and attempted to develop a risk score based on baseline variables to predict progressive disease. We evaluated the utility of the CURB-65 score at identifying the need for ICU transfer. RESULTS: The cohort included 245 subjects (mean age 59.0 ± 14.2 years, 61.2% male) and 20% were eventually sent to the ICU. The median time to transfer was 2.5 days. Approximately 1/3rd of patients were not moved until day 4 or later and the main reason for transfer (79.2%) was worsening respiratory failure. A baseline absolute lymphocyte count (ALC) of ≤0.8 103/ml and a serum ferritin ≥1000 ng/ml were independently associated with ICU transfer. Co-morbid illnesses did not correlate with eventual ICU care. Neither a risk score based on a low ALC and/or high ferritin nor the CURB-65 score performed well at predicting need for transfer. CONCLUSION: Covid-19 patients admitted to general wards face a significant risk for deterioration necessitating ICU admission and respiratory failure can occur late in this disease. Neither baseline clinical factors nor the CURB-65 score perform well as screening tests to categorize these subjects as likely to progress to ICU care.


Sujets)
COVID-19/épidémiologie , Unités de soins intensifs/statistiques et données numériques , Transfert de patient/organisation et administration , SARS-CoV-2/génétique , COVID-19/complications , COVID-19/virologie , Comorbidité , Femelle , Ferritines/sang , Hospitalisation , Humains , Numération des lymphocytes/méthodes , Mâle , Adulte d'âge moyen , Pandémies/statistiques et données numériques , Plan de recherche/normes , Plan de recherche/statistiques et données numériques , Insuffisance respiratoire/épidémiologie , Insuffisance respiratoire/étiologie , Études rétrospectives , Appréciation des risques , Facteurs de risque , Facteurs temps
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