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10.1007/s00330-020-07270-1 http://scihub22266oqcxt.onion/10.1007/s00330-020-07270-1 33033861!7543667!33033861     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+Radiol 2021 ; 31 (4): 1999-2012 Nephropedia Template TP {{tp|p=33033861|t=2021. Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department |pdf=|usr=}}{{33033861}} gab.com Text Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department JO: Eur Radiol http://www.kidney.de/pget.php?&tw=1&pmid=33033861 #FOAvip OBJECTIVES: To evaluate the inter-rater agreement of chest X-ray (CXR) findings in coronavirus disease 2019 (COVID-19) and to determine the value of initial CXR along with demographic, clinical, and laboratory data at emergency department (ED) presentation for predicting mortality and the need for ventilatory support. METHODS: A total of 340 COVID-19 patients who underwent CXR in the ED setting (March 1-13, 2020) were retrospectively included. Two reviewers independently assessed CXR abnormalities, including ground-glass opacities (GGOs) and consolidation. Two scoring systems (Brixia score and percentage of lung involvement) were applied. Inter-rater agreement was assessed by weighted Cohen's kappa (kappa) or intraclass correlation coefficient (ICC). Predictors of death and respiratory support were identified by logistic or Poisson regression. RESULTS: GGO admixed with consolidation (n = 235, 69%) was the most common CXR finding. The inter-rater agreement was almost perfect for type of parenchymal opacity (kappa = 0.90), Brixia score (ICC = 0.91), and percentage of lung involvement (ICC = 0.95). The Brixia score (OR: 1.19; 95% CI: 1.06, 1.34; p = 0.003), age (OR: 1.16; 95% CI: 1.11, 1.22; p < 0.001), PaO(2)/FiO(2) ratio (OR: 0.99; 95% CI: 0.98, 1; p = 0.002), and cardiovascular diseases (OR: 3.21; 95% CI: 1.28, 8.39; p = 0.014) predicted death. Percentage of lung involvement (OR: 1.02; 95% CI: 1.01, 1.03; p = 0.001) and PaO(2)/FiO(2) ratio (OR: 0.99; 95% CI: 0.99, 1.00; p < 0.001) were significant predictors of the need for ventilatory support. CONCLUSIONS: CXR is a reproducible tool for assessing COVID-19 and integrates with patient history, PaO(2)/FiO(2) ratio, and SpO(2) values to early predict mortality and the need for ventilatory support. KEY POINTS: * Chest X-ray is a reproducible tool for assessing COVID-19 pneumonia. * The Brixia score and percentage of lung involvement on chest X-ray integrate with patient history, PaO(2)/FIO(2) ratio, and SpO(2) values to early predict mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department. Twit Text FOAVip Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department ????Eur Radiol http://www.kidney.de/pget.php?&tw=1&pmid=33033861 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33033861 #FOAvip English Wikipedia <ref>{{Cite pmid|33033861}}</ref> Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department #MMPMID33033861 Balbi M; Caroli A; Corsi A; Milanese G; Surace A; Di Marco F; Novelli L; Silva M; Lorini FL; Duca A; Cosentini R; Sverzellati N; Bonaffini PA; Sironi S Eur Radiol 2021[Apr]; 31 (4): 1999-2012 PMID33033861show ga OBJECTIVES: To evaluate the inter-rater agreement of chest X-ray (CXR) findings in coronavirus disease 2019 (COVID-19) and to determine the value of initial CXR along with demographic, clinical, and laboratory data at emergency department (ED) presentation for predicting mortality and the need for ventilatory support. METHODS: A total of 340 COVID-19 patients who underwent CXR in the ED setting (March 1-13, 2020) were retrospectively included. Two reviewers independently assessed CXR abnormalities, including ground-glass opacities (GGOs) and consolidation. Two scoring systems (Brixia score and percentage of lung involvement) were applied. Inter-rater agreement was assessed by weighted Cohen's kappa (kappa) or intraclass correlation coefficient (ICC). Predictors of death and respiratory support were identified by logistic or Poisson regression. RESULTS: GGO admixed with consolidation (n = 235, 69%) was the most common CXR finding. The inter-rater agreement was almost perfect for type of parenchymal opacity (kappa = 0.90), Brixia score (ICC = 0.91), and percentage of lung involvement (ICC = 0.95). The Brixia score (OR: 1.19; 95% CI: 1.06, 1.34; p = 0.003), age (OR: 1.16; 95% CI: 1.11, 1.22; p < 0.001), PaO(2)/FiO(2) ratio (OR: 0.99; 95% CI: 0.98, 1; p = 0.002), and cardiovascular diseases (OR: 3.21; 95% CI: 1.28, 8.39; p = 0.014) predicted death. Percentage of lung involvement (OR: 1.02; 95% CI: 1.01, 1.03; p = 0.001) and PaO(2)/FiO(2) ratio (OR: 0.99; 95% CI: 0.99, 1.00; p < 0.001) were significant predictors of the need for ventilatory support. CONCLUSIONS: CXR is a reproducible tool for assessing COVID-19 and integrates with patient history, PaO(2)/FiO(2) ratio, and SpO(2) values to early predict mortality and the need for ventilatory support. KEY POINTS: * Chest X-ray is a reproducible tool for assessing COVID-19 pneumonia. * The Brixia score and percentage of lung involvement on chest X-ray integrate with patient history, PaO(2)/FIO(2) ratio, and SpO(2) values to early predict mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department. |*COVID-19[MESH] |Emergency Service, Hospital[MESH] |Humans[MESH] |Lung[MESH] |Radiography, Thoracic[MESH] |Retrospective Studies[MESH] |SARS-CoV-2[MESH]Chest X-ray for predicting mortality and the need for ventilatory supp(epmc).pdf DeepDyve Pubget Overpricing