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Extent and Distribution of Parenchymal Abnormalities in Baseline CT-Scans Do Not Predict Awake Prone Positioning Response in COVID-19 Related ARDS.
Raimondi, Federico; Cazzaniga, Sara; Annibali, Simona; Novelli, Luca; Brivio, Matteo; Pappacena, Simone; Malandrino, Luca; Bonaffini, Pietro Andrea; Bianco, Ilaria; Liggeri, Noemi; Gritti, Paolo; Lorini, Ferdinando Luca; Sironi, Sandro; Di Marco, Fabiano.
  • Raimondi F; Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Cazzaniga S; Department of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Annibali S; Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Novelli L; Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy.
  • Brivio M; Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Pappacena S; Department of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Malandrino L; Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Bonaffini PA; Department of Health Sciences, University of Milan, 20122 Milan, Italy.
  • Bianco I; Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Liggeri N; Department of Health Sciences, University of Milan, 20122 Milan, Italy.
  • Gritti P; Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Lorini FL; Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy.
  • Sironi S; Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
  • Di Marco F; Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy.
Diagnostics (Basel) ; 12(8)2022 Jul 30.
Article in English | MEDLINE | ID: covidwho-1969133
ABSTRACT
Prone positioning is frequently used for non-intubated hypoxemic patients with COVID-19, although conclusive evidence is still lacking. The aim of the present study was to investigate whether baseline CT-scans could predict the improvement in oxygenation in COVID-19 related Acute respira-tory syndrome (ARDS) patients when pronated.

METHODS:

A retrospective study of COVID-19 patients who underwent non-invasive ventilation (NIV) and prone positioning was conducted.

RESULTS:

Forty-five patients were included. On average, 50% of the overall lung volume was affected by the disease, as observed in the CT-scans, with ground glass opacities (GGOs) and consolidations accounting for 44% and 4%, respectively. The abnormalities were mainly posterior, as demonstrated by posterior/anterior distribution ratios of 1.5 and 4.4 for GGO and consolidation, respectively. The median PaO2/FiO2 ratio during NIV in a supine position (SP1) was 140 [IQR 108-169], which improved by 67% (+98) during prone positioning, on average. Once supine positioning was resumed (SP2), the improvement in oxygenation was maintained in 28 patients (62% of the overall population, categorized as "responders"). We found no significant differences between responders and non-responders in terms of the extent (p = 0.92) and the distribution of parenchymal abnormalities seen in the baseline CT (p = 0.526).

CONCLUSION:

Despite the lack of a priori estimation of the sample size, considering the absence of any trends in the differences and correlations, we can reasonably conclude that the baseline chest CT-scan does not predict a gas-exchange response in awake prone-positioned patients with COVID-19 related ARDS. Physicians dealing with this category of patients should not rely on the imaging at presentation when evaluating whether to pronate patients.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Diagnostics12081848

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Diagnostics12081848