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Electrical Impedance Tomography-based Ventilation Patterns in Patients after Major Surgery.
Iwata, Hirofumi; Yoshida, Takeshi; Hoshino, Taiki; Aiyama, Yuki; Maezawa, Takashi; Hashimoto, Haruka; Koyama, Yukiko; Yamada, Tomomi; Fujino, Yuji.
Afiliación
  • Iwata H; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan; and.
  • Yoshida T; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan; and.
  • Hoshino T; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan; and.
  • Aiyama Y; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan; and.
  • Maezawa T; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan; and.
  • Hashimoto H; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan; and.
  • Koyama Y; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan; and.
  • Yamada T; The Department of Medical Innovation Data Coordinating Center, Osaka University Hospital, Suita, Japan.
  • Fujino Y; Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan; and.
Am J Respir Crit Care Med ; 209(11): 1328-1337, 2024 06 01.
Article en En | MEDLINE | ID: mdl-38346178
ABSTRACT
Rationale General anesthesia and mechanical ventilation have negative impacts on the respiratory system, causing heterogeneous distribution of lung aeration, but little is known about the ventilation patterns of postoperative patients and their association with clinical outcomes.

Objectives:

To clarify the phenotypes of ventilation patterns along a gravitational direction after surgery by using electrical impedance tomography (EIT) and to evaluate their association with postoperative pulmonary complications (PPCs) and other relevant clinical outcomes.

Methods:

Adult postoperative patients at high risk for PPCs, receiving mechanical ventilation on ICU admission (N = 128), were prospectively enrolled between November 18, 2021 and July 18, 2022. PPCs were prospectively scored until hospital discharge, and their association with phenotypes of ventilation patterns was studied. The secondary outcomes were the times to wean from mechanical ventilation and oxygen use and the length of ICU stay. Measurements and Main

Results:

Three phenotypes of ventilation patterns were revealed by EIT phenotype 1 (32% [n = 41], a predominance of ventral ventilation), phenotype 2 (41% [n = 52], homogeneous ventilation), and phenotype 3 (27% [n = 35], a predominance of dorsal ventilation). The median PPC score was higher in phenotype 1 and phenotype 3 than in phenotype 2. The median time to wean from mechanical ventilation was longer in phenotype 1 versus phenotype 2. The median duration of ICU stay was longer in phenotype 1 versus phenotype 2. The median time to wean from oxygen use was longer in phenotype 1 and phenotype 3 than in phenotype 2.

Conclusions:

Inhomogeneous ventilation patterns revealed by EIT on ICU admission were associated with PPCs, delayed weaning from mechanical ventilation and oxygen use, and a longer ICU stay.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Complicaciones Posoperatorias / Respiración Artificial / Tomografía / Impedancia Eléctrica Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Respir Crit Care Med Asunto de la revista: TERAPIA INTENSIVA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Complicaciones Posoperatorias / Respiración Artificial / Tomografía / Impedancia Eléctrica Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Respir Crit Care Med Asunto de la revista: TERAPIA INTENSIVA Año: 2024 Tipo del documento: Article