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10.1016/j.ejro.2021.100322

http://scihub22266oqcxt.onion/10.1016/j.ejro.2021.100322
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suck abstract from ncbi


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pmid33432297      Eur+J+Radiol+Open 2021 ; 8 (ä): 100322
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  • Risk of in-hospital death associated with Covid-19 lung consolidations on chest computed tomography - A novel translational approach using a radiation oncology contour software #MMPMID33432297
  • Sapienza LG; Nasra K; Calsavara VF; Little TB; Narayana V; Abu-Isa E
  • Eur J Radiol Open 2021[]; 8 (ä): 100322 PMID33432297show ga
  • PURPOSE: To determine whether the percentage of lung involvement at the initial chest computed tomography (CT) is related to the subsequent risk of in-hospital death in patients with coronavirus disease-2019 (Covid-19). MATERIALS AND METHODS: Using a cohort of 154 laboratory-confirmed Covid-19 pneumonia cases that underwent chest CT between February and April 2020, we performed a volumetric analysis of the lung opacities. The impact of relative lung involvement on outcomes was evaluated using multivariate logistic regression. The primary endpoint was the in-hospital mortality rate. The secondary endpoint was major adverse hospitalization events (intensive care unit admission, use of mechanical ventilation, or death). RESULTS: The median age of the patients was 65 years: 50.6 % were male, and 36.4 % had a history of smoking. The median relative lung involvement was 28.8 % (interquartile range 9.5-50.3). The overall in-hospital mortality rate was 16.2 %. Thirty-six (26.3 %) patients were intubated. After adjusting for significant clinical factors, there was a 3.6 % increase in the chance of in-hospital mortality (OR 1.036; 95 % confidence interval, 1.010-1.063; P?=?0.007) and a 2.5 % increase in major adverse hospital events (OR 1.025; 95 % confidence interval, 1.009-1.042; P?=?0.002) per percentage unit of lung involvement. Advanced age (P?=?0.013), DNR/DNI status at admission (P?
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