Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx
Background<p>Despite the implementation of protective mechanical ventilation, ventilator-induced lung injury remains a significant driver of ARDS-associated morbidity and mortality. Mechanical ventilation must be personalized and adaptive for the patient and evolving disease course to achieve...
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2025
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| _version_ | 1849927623883358208 |
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| author | Michaela Kollisch-Singule (5545619) |
| author2 | Andrea F. Cruz (22686590) Jacob Herrmann (8470458) Joshua Satalin (5545628) Sarah Satalin (22686593) Brian P. Harvey (22686596) Dorian LeCroy (22686599) George Beck (22686602) Mark Lutz (22686605) Jacob Charlamb (22686608) Joshua Kenna (22686611) Mark Baker (661189) Gary F. Nieman (5545625) David W. Kaczka (6984944) |
| author2_role | author author author author author author author author author author author author author |
| author_facet | Michaela Kollisch-Singule (5545619) Andrea F. Cruz (22686590) Jacob Herrmann (8470458) Joshua Satalin (5545628) Sarah Satalin (22686593) Brian P. Harvey (22686596) Dorian LeCroy (22686599) George Beck (22686602) Mark Lutz (22686605) Jacob Charlamb (22686608) Joshua Kenna (22686611) Mark Baker (661189) Gary F. Nieman (5545625) David W. Kaczka (6984944) |
| author_role | author |
| dc.creator.none.fl_str_mv | Michaela Kollisch-Singule (5545619) Andrea F. Cruz (22686590) Jacob Herrmann (8470458) Joshua Satalin (5545628) Sarah Satalin (22686593) Brian P. Harvey (22686596) Dorian LeCroy (22686599) George Beck (22686602) Mark Lutz (22686605) Jacob Charlamb (22686608) Joshua Kenna (22686611) Mark Baker (661189) Gary F. Nieman (5545625) David W. Kaczka (6984944) |
| dc.date.none.fl_str_mv | 2025-11-26T05:15:38Z |
| dc.identifier.none.fl_str_mv | 10.3389/fphys.2025.1602578.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Data_Sheet_3_Computationally-directed_mechanical_ventilation_in_a_porcine_model_of_ARDS_docx/30717872 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Physiology computational direction mechanical ventilation airway pressure release ventilation acute respiratory distress syndrome personalized |
| dc.title.none.fl_str_mv | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | Background<p>Despite the implementation of protective mechanical ventilation, ventilator-induced lung injury remains a significant driver of ARDS-associated morbidity and mortality. Mechanical ventilation must be personalized and adaptive for the patient and evolving disease course to achieve sustained improvements in patient outcomes. In this study, we modified a military-grade transport ventilator to deliver the airway pressure release ventilation (APRV) modality. We developed a computationally-directed (CD) method of adjusting the expiratory duration (T<sub>Low</sub>) during APRV using physiologic feedback to reduce alveolar derecruitment and tested this modality in a porcine model of moderate-to-severe ARDS.</p>Methods<p>Female Yorkshire-cross pigs (n = 27) were ventilated using a ZOLL EMV+® 731 Series ventilator during general anesthesia and subjected to a heterogeneous Tween lung injury followed by injurious mechanical ventilation. Animals were subsequently ventilated for 6 hours under general anesthesia after randomization to one of three groups: V<sub>T</sub>6 (n = 9) with a tidal volume (V<sub>T</sub>) of 6 mL/kg and stepwise adjustments in PEEP and FiO<sub>2</sub>; V<sub>T</sub>10 (n = 9) with V<sub>T</sub> of 10 mL/kg and PEEP of 5 cmH<sub>2</sub>O; CD-APRV group (n = 9) with computationally-directed adjustments in T<sub>Low</sub> based on a nonlinear equation of motion to describe respiratory mechanics. Results are reported as median [interquartile range].</p>Results<p>All groups developed moderate-to-severe ARDS and had similar recovery in lung injury, with all demonstrating final PaO<sub>2</sub>:FiO<sub>2</sub> > 300 mmHg (V<sub>T</sub>6: 415.5 [383.0–443.4], V<sub>T</sub>10: 353.3 [297.3–397.7], CD-APRV: 316.6 [269.8–362.4]; p = 0.12). PaCO<sub>2</sub> was significantly higher in the V<sub>T</sub>6 group compared with the CD-APRV group (59.3 [52.3–60.1] mmHg vs. 38.5 [32.7–52.2] mmHg, p = 0.04) but not significantly different from the V<sub>T</sub>10 group (47.5 [45.3–54.4] mmHg; p = 0.32 vs. V<sub>T</sub>6) despite having a significantly higher respiratory rate (30.0 [30.0–32.0] breaths/min) compared with V<sub>T</sub>10 (12.0 [12.0–15.0] breaths/min, p = 0.001) and CD-APRV (14.0 [14.0–14.0] breaths/min, p < 0.001) groups at the study end.</p>Conclusion<p>We successfully implemented a computationally directed APRV modality on a transport ventilator, adjusting T<sub>Low</sub> based on respiratory mechanics. This study demonstrated that CD-APRV can be safely used, with the advantage of guiding expiratory duration adjustments based on physiologic feedback from the lungs.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_4b6bd5be24c161a5cb25e05cf55dc5db |
| identifier_str_mv | 10.3389/fphys.2025.1602578.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30717872 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docxMichaela Kollisch-Singule (5545619)Andrea F. Cruz (22686590)Jacob Herrmann (8470458)Joshua Satalin (5545628)Sarah Satalin (22686593)Brian P. Harvey (22686596)Dorian LeCroy (22686599)George Beck (22686602)Mark Lutz (22686605)Jacob Charlamb (22686608)Joshua Kenna (22686611)Mark Baker (661189)Gary F. Nieman (5545625)David W. Kaczka (6984944)Physiologycomputational directionmechanical ventilationairway pressure release ventilationacute respiratory distress syndromepersonalizedBackground<p>Despite the implementation of protective mechanical ventilation, ventilator-induced lung injury remains a significant driver of ARDS-associated morbidity and mortality. Mechanical ventilation must be personalized and adaptive for the patient and evolving disease course to achieve sustained improvements in patient outcomes. In this study, we modified a military-grade transport ventilator to deliver the airway pressure release ventilation (APRV) modality. We developed a computationally-directed (CD) method of adjusting the expiratory duration (T<sub>Low</sub>) during APRV using physiologic feedback to reduce alveolar derecruitment and tested this modality in a porcine model of moderate-to-severe ARDS.</p>Methods<p>Female Yorkshire-cross pigs (n = 27) were ventilated using a ZOLL EMV+® 731 Series ventilator during general anesthesia and subjected to a heterogeneous Tween lung injury followed by injurious mechanical ventilation. Animals were subsequently ventilated for 6 hours under general anesthesia after randomization to one of three groups: V<sub>T</sub>6 (n = 9) with a tidal volume (V<sub>T</sub>) of 6 mL/kg and stepwise adjustments in PEEP and FiO<sub>2</sub>; V<sub>T</sub>10 (n = 9) with V<sub>T</sub> of 10 mL/kg and PEEP of 5 cmH<sub>2</sub>O; CD-APRV group (n = 9) with computationally-directed adjustments in T<sub>Low</sub> based on a nonlinear equation of motion to describe respiratory mechanics. Results are reported as median [interquartile range].</p>Results<p>All groups developed moderate-to-severe ARDS and had similar recovery in lung injury, with all demonstrating final PaO<sub>2</sub>:FiO<sub>2</sub> > 300 mmHg (V<sub>T</sub>6: 415.5 [383.0–443.4], V<sub>T</sub>10: 353.3 [297.3–397.7], CD-APRV: 316.6 [269.8–362.4]; p = 0.12). PaCO<sub>2</sub> was significantly higher in the V<sub>T</sub>6 group compared with the CD-APRV group (59.3 [52.3–60.1] mmHg vs. 38.5 [32.7–52.2] mmHg, p = 0.04) but not significantly different from the V<sub>T</sub>10 group (47.5 [45.3–54.4] mmHg; p = 0.32 vs. V<sub>T</sub>6) despite having a significantly higher respiratory rate (30.0 [30.0–32.0] breaths/min) compared with V<sub>T</sub>10 (12.0 [12.0–15.0] breaths/min, p = 0.001) and CD-APRV (14.0 [14.0–14.0] breaths/min, p < 0.001) groups at the study end.</p>Conclusion<p>We successfully implemented a computationally directed APRV modality on a transport ventilator, adjusting T<sub>Low</sub> based on respiratory mechanics. This study demonstrated that CD-APRV can be safely used, with the advantage of guiding expiratory duration adjustments based on physiologic feedback from the lungs.</p>2025-11-26T05:15:38ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fphys.2025.1602578.s001https://figshare.com/articles/dataset/Data_Sheet_3_Computationally-directed_mechanical_ventilation_in_a_porcine_model_of_ARDS_docx/30717872CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307178722025-11-26T05:15:38Z |
| spellingShingle | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx Michaela Kollisch-Singule (5545619) Physiology computational direction mechanical ventilation airway pressure release ventilation acute respiratory distress syndrome personalized |
| status_str | publishedVersion |
| title | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx |
| title_full | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx |
| title_fullStr | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx |
| title_full_unstemmed | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx |
| title_short | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx |
| title_sort | Data Sheet 3_Computationally-directed mechanical ventilation in a porcine model of ARDS.docx |
| topic | Physiology computational direction mechanical ventilation airway pressure release ventilation acute respiratory distress syndrome personalized |