Author: Marino, Luca; Suppa, Marianna; Rosa, Antonello; Servello, Adriana; Coppola, Alessandro; Palladino, Mariangela; Mazzocchitti, Anna Maria; Bresciani, Emanuela; Petramala, Luigi; Bertazzoni, Giuliano; Pastori, Daniele
Title: Time to hospitalisation, CT pulmonary involvement and inâ€hospital death in COVIDâ€19 patients in an Emergency Medicine Unit Cord-id: lbwh9zhm Document date: 2021_6_16
ID: lbwh9zhm
Snippet: BACKGROUND: Patients with coronavirus disease 2019 (COVIDâ€19) are often treated at home given the limited healthcare resources. Many patients may have sudden clinical worsening and may be already compromised at hospitalisation. We investigated the burden of lung involvement according to the time to hospitalisation. METHODS: In this observational cohort study, 55 consecutive COVIDâ€19â€related pneumonia patients were admitted to the Emergency Medicine Unit. Groups of lung involvement at compu
Document: BACKGROUND: Patients with coronavirus disease 2019 (COVIDâ€19) are often treated at home given the limited healthcare resources. Many patients may have sudden clinical worsening and may be already compromised at hospitalisation. We investigated the burden of lung involvement according to the time to hospitalisation. METHODS: In this observational cohort study, 55 consecutive COVIDâ€19â€related pneumonia patients were admitted to the Emergency Medicine Unit. Groups of lung involvement at computed tomography were classified as follows: 0 (<5%), 1 (5%â€25%), 2 (26%â€50%), 3 (51%â€75%) and 4 (>75%). We also investigated inâ€hospital death and the predictive value of Yanâ€XGBoost model and PREDIâ€CO scores for death. RESULTS: The median age was 74 years and 34 were men. Time to admission increased from 2 days in group 0 to 8.5â€9 days in groups 3 and 4. A progressive increase in LDH, CRP and dâ€dimer was found across groups, while a decrease of lymphocytes paO(2)/FiO(2) ratio and SpO(2) was found. Ten (18.2%) patients died during the inâ€hospital staying. Patients who died were older, with a trend to lower lymphocytes, a higher dâ€dimer, creatine phosphokinase and troponin T. The Yanâ€XGBoost model did not accurately predict inâ€hospital death with an AUC of 0.57 (95% confidence interval [CI] 0.37â€0.76), which improved after the addition of the lung involvement groups (AUC 0.68, 95%CI 0.45â€0.90). Conversely, a good predictive value was found for the original PREDIâ€CO score with an AUC of 0.76 (95% CI 0.58â€0.93) which remained similar after the addition of the lung involvement (AUC 0.76, 95% CI 0.57â€0.94). CONCLUSION: We found that delayed hospital admission is associated with higher lung involvement. Hence, our data suggest that patients at risk for more severe disease, such as those with high LDH, CRP and dâ€dimer, should be promptly referred to hospital care.
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