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Quantitative Computed Tomography and Response to Pronation in COVID-19 ARDS.
Zadek, Francesco; Berta, Luca; Zorzi, Giulia; Ubiali, Stefania; Bonaiti, Amos; Tundo, Giulia; Brunoni, Beatrice; Marrazzo, Francesco; Giudici, Riccardo; Rossi, Anna; Rizzetto, Francesco; Bernasconi, Davide Paolo; Vanzulli, Angelo; Colombo, Paola Enrica; Fumagalli, Roberto; Torresin, Alberto; Langer, Thomas.
Afiliación
  • Zadek F; Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.
  • Berta L; Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
  • Zorzi G; Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; and Department of Physics, INFN Milan Unit, Milan, Italy.
  • Ubiali S; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
  • Bonaiti A; Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.
  • Tundo G; Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.
  • Brunoni B; Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.
  • Marrazzo F; Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.
  • Giudici R; Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.
  • Rossi A; Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.
  • Rizzetto F; Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
  • Bernasconi DP; School of Medicine and Surgery, Bicocca Bioinformatics Biostatistics and Bioimaging Center - B4, University of Milano-Bicocca, Monza, Italy.
  • Vanzulli A; Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; and Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy.
  • Colombo PE; Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
  • Fumagalli R; Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy; and Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.
  • Torresin A; Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
  • Langer T; Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy; and Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy. Thomas.Langer@unimib.it.
Respir Care ; 2024 Jun 12.
Article en En | MEDLINE | ID: mdl-38594036
ABSTRACT

BACKGROUND:

The use of prone position (PP) has been widespread during the COVID-19 pandemic. Whereas it has demonstrated benefits, including improved oxygenation and lung aeration, the factors influencing the response in terms of gas exchange to PP remain unclear. In particular, the association between baseline quantitative computed tomography (CT) scan results and gas exchange response to PP in invasively ventilated subjects with COVID-19 ARDS is unknown. The present study aimed to compare baseline quantitative CT results between subjects responding to PP in terms of oxygenation or CO2 clearance and those who did not.

METHODS:

This was a single-center, retrospective observational study including critically ill, invasively ventilated subjects with COVID-19-related ARDS admitted to the ICUs of Niguarda Hospital between March 2020-November 2021. Blood gas samples were collected before and after PP. Subjects in whom the PaO2 /FIO2 increase was ≥ 20 mm Hg after PP were defined as oxygen responders. CO2 responders were defined when the ventilatory ratio (VR) decreased during PP. Automated quantitative CT analyses were performed to obtain tissue mass and density of the lungs.

RESULTS:

One hundred twenty-five subjects were enrolled, of which 116 (93%) were O2 responders and 51 (41%) CO2 responders. No difference in quantitative CT characteristics and oxygen were observed between responders and non-responders (tissue mass 1,532 ± 396 g vs 1,654 ± 304 g, P = .28; density -544 ± 109 HU vs -562 ± 58 HU P = .42). Similar findings were observed when dividing the population according to CO2 response (tissue mass 1,551 ± 412 g vs 1,534 ± 377 g, P = .89; density -545 ± 123 HU vs -546 ± 94 HU, P = .99).

CONCLUSIONS:

Most subjects with COVID-19-related ARDS improved their oxygenation at the first pronation cycle. The study suggests that baseline quantitative CT scan data were not associated with the response to PP in oxygenation or CO2 in mechanically ventilated subjects with COVID-19-related ARDS.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Respir Care Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Respir Care Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Estados Unidos