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Post-insufflation diaphragm contractions in patients receiving various modes of mechanical ventilation
Indexado
WoS WOS:001315757100001
Scopus SCOPUS_ID:85204305129
DOI 10.1186/S13054-024-05091-Y
Año 2024
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Background During mechanical ventilation, post-insufflation diaphragm contractions (PIDCs) are non-physiologic and could be injurious. PIDCs could be frequent during reverse-triggering, where diaphragm contractions follow the ventilator rhythm. Whether PIDCs happens with different modes of assisted ventilation is unknown. In mechanically ventilated patients with hypoxemic respiratory failure, we aimed to examine whether PIDCs are associated with ventilator settings, patients' characteristics or both. Methods One-hour recordings of diaphragm electromyography (EAdi), airway pressure and flow were collected once per day for up to five days from intubation until full recovery of diaphragm activity or death. Each breath was classified as mandatory (without-reverse-triggering), reverse-triggering, or patient triggered. Reverse triggering was further subclassified according to EAdi timing relative to ventilator cycle or reverse triggering leading to breath-stacking. EAdi timing (onset, offset), peak and neural inspiratory time (Ti-neuro) were measured breath-by-breath and compared to the ventilator expiratory time. A multivariable logistic regression model was used to investigate factors independently associated with PIDCs, including EAdi timing, amplitude, Ti-neuro, ventilator settings and APACHE II. Results Forty-seven patients (median[25%-75%IQR] age: 63[52-77] years, BMI: 24.9[22.9-33.7] kg/m(2), 49% male, APACHE II: 21[19-28]) contributed 2 +/- 1 recordings each, totaling 183,962 breaths. PIDCs occurred in 74% of reverse-triggering, 27% of pressure support breaths, 21% of assist-control breaths, 5% of Neurally Adjusted Ventilatory Assist (NAVA) breaths. PIDCs were associated with higher EAdi peak (odds ratio [OR][95%CI] 1.01[1.01;1.01], longer Ti-neuro (OR 37.59[34.50;40.98]), shorter ventilator inspiratory time (OR 0.27[0.24;0.30]), high peak inspiratory flow (OR 0.22[0.20;0.26]), and small tidal volumes (OR 0.31[0.25;0.37]) (all P <= 0.008). NAVA was associated with absence of PIDCs (OR 0.03[0.02;0.03]; P < 0.001). Reverse triggering was characterized by lower EAdi peak than breaths triggered under pressure support and associated with small tidal volume and shorter set inspiratory time than breaths triggered under assist-control (all P < 0.05). Reverse triggering leading to breath stacking was characterized by higher peak EAdi and longer Ti-neuro and associated with small tidal volumes compared to all other reverse-triggering phenotypes (all P < 0.05). Conclusions In critically ill mechanically ventilated patients, PIDCs and reverse triggering phenotypes were associated with potentially modifiable factors, including ventilator settings. Proportional modes like NAVA represent a solution abolishing PIDCs.

Revista



Revista ISSN
Critical Care 1466-609X

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Disciplinas de Investigación



WOS
Critical Care Medicine
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Rodrigues, Antenor - Li Ka Shing Knowledge Inst - Canadá
UNIV TORONTO - Canadá
St Michaels Hosp - Canadá
Keenan Research Centre for Biomedical Science - Canadá
University of Toronto Faculty of Medicine - Canadá
St. Michael's Hospital, Toronto - Canadá
University of Toronto - Canadá
2 Vieira, Fernando - Li Ka Shing Knowledge Inst - Canadá
UNIV TORONTO - Canadá
Keenan Research Centre for Biomedical Science - Canadá
University of Toronto Faculty of Medicine - Canadá
University of Toronto - Canadá
3 Sklar, Michael C. Hombre Li Ka Shing Knowledge Inst - Canadá
UNIV TORONTO - Canadá
Keenan Research Centre for Biomedical Science - Canadá
University of Toronto Faculty of Medicine - Canadá
University of Toronto - Canadá
4 Damiani, L. Felipe Hombre Pontificia Universidad Católica de Chile - Chile
Facultad de Medicina - Chile
5 Piraino, Thomas Hombre MCMASTER UNIV - Canadá
McMaster University - Canadá
6 Telias, Irene Mujer Li Ka Shing Knowledge Inst - Canadá
UNIV TORONTO - Canadá
Univ Hlth Network - Canadá
MT SINAI HOSP - Canadá
Keenan Research Centre for Biomedical Science - Canadá
University of Toronto Faculty of Medicine - Canadá
University Health Network - Canadá
University of Toronto - Canadá
7 Goligher, Ewan C. Hombre UNIV TORONTO - Canadá
University of Toronto Faculty of Medicine - Canadá
University of Toronto - Canadá
8 Reid, W. Darlene - UNIV TORONTO - Canadá
Univ Hlth Network - Canadá
University of Toronto Faculty of Medicine - Canadá
University of Toronto - Canadá
Toronto Rehabilitation Institute - Canadá
9 Brochard, Laurent Hombre Li Ka Shing Knowledge Inst - Canadá
UNIV TORONTO - Canadá
Keenan Research Centre for Biomedical Science - Canadá
University of Toronto Faculty of Medicine - Canadá
University of Toronto - Canadá

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Financiamiento



Fuente
Canadian Institutes of Health Research
Canadian Institutes of Health Research (CIHR)
Canadian Institutes of Health Research (CIHR) Fellowship

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Agradecimientos



Agradecimiento
AR is supported by a Canadian Institutes of Health Research (CIHR) Fellowship (#187900). MCS was supported by a Canadian Institutes of Health Research (CIHR) Fellowship.
AR is supported by a Canadian Institutes of Health Research (CIHR) Fellowship (#187900). MCS was supported by a Canadian Institutes of Health Research (CIHR) Fellowship.

Muestra la fuente de financiamiento declarada en la publicación.