Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation
Background. There are modes of mechanical ventilation that can select ventilator settings with computer controlled algorithms (targeting schemes). Two examples are adaptive support ventilation (ASV) and mid-frequency ventilation (MFV). We studied how different clinician-chosen ventilator settings ar...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Critical Care Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2012/204314 |
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| _version_ | 1832560465089134592 |
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| author | Eduardo Mireles-Cabodevila Enrique Diaz-Guzman Alejandro C. Arroliga Robert L. Chatburn |
| author_facet | Eduardo Mireles-Cabodevila Enrique Diaz-Guzman Alejandro C. Arroliga Robert L. Chatburn |
| author_sort | Eduardo Mireles-Cabodevila |
| collection | DOAJ |
| description | Background. There are modes of mechanical ventilation that can select ventilator settings with computer controlled algorithms (targeting schemes). Two examples are adaptive support ventilation (ASV) and mid-frequency ventilation (MFV). We studied how different clinician-chosen ventilator settings are from these computer algorithms under different scenarios. Methods. A survey of critical care clinicians provided reference ventilator settings for a 70 kg paralyzed patient in five clinical/physiological scenarios. The survey-derived values for minute ventilation and minute alveolar ventilation were used as goals for ASV and MFV, respectively. A lung simulator programmed with each scenario’s respiratory system characteristics was ventilated using the clinician, ASV, and MFV settings. Results. Tidal volumes ranged from 6.1 to 8.3 mL/kg for the clinician, 6.7 to 11.9 mL/kg for ASV, and 3.5 to 9.9 mL/kg for MFV. Inspiratory pressures were lower for ASV and MFV. Clinician-selected tidal volumes were similar to the ASV settings for all scenarios except for asthma, in which the tidal volumes were larger for ASV and MFV. MFV delivered the same alveolar minute ventilation with higher end expiratory and lower end inspiratory volumes. Conclusions. There are differences and similarities among initial ventilator settings selected by humans and computers for various clinical scenarios. The ventilation outcomes are the result of the lung physiological characteristics and their interaction with the targeting scheme. |
| format | Article |
| id | doaj-art-0de10449754d4286ac6b6681c0e65080 |
| institution | Kabale University |
| issn | 2090-1305 2090-1313 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Critical Care Research and Practice |
| spelling | doaj-art-0de10449754d4286ac6b6681c0e650802025-02-03T01:27:30ZengWileyCritical Care Research and Practice2090-13052090-13132012-01-01201210.1155/2012/204314204314Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency VentilationEduardo Mireles-Cabodevila0Enrique Diaz-Guzman1Alejandro C. Arroliga2Robert L. Chatburn3Department of Pulmonary and Critical Care Medicine, University of Arkansas for Medical Sciences, 4301 West Markham Street, Slot 555, Little Rock, AR 77205, USADepartment of Pulmonary and Critical Care, University of Kentucky, Lexington, KY 40536-0284, USADepartment of Medicine, Scott and White and Texas A and M Health Science Center College of Medicine, 2401 South 31st Street, Temple, TX 76508, USARespiratory Institute, Cleveland Clinic, 9500 Euclid Avenue, A90, Cleveland, OH 44195, USABackground. There are modes of mechanical ventilation that can select ventilator settings with computer controlled algorithms (targeting schemes). Two examples are adaptive support ventilation (ASV) and mid-frequency ventilation (MFV). We studied how different clinician-chosen ventilator settings are from these computer algorithms under different scenarios. Methods. A survey of critical care clinicians provided reference ventilator settings for a 70 kg paralyzed patient in five clinical/physiological scenarios. The survey-derived values for minute ventilation and minute alveolar ventilation were used as goals for ASV and MFV, respectively. A lung simulator programmed with each scenario’s respiratory system characteristics was ventilated using the clinician, ASV, and MFV settings. Results. Tidal volumes ranged from 6.1 to 8.3 mL/kg for the clinician, 6.7 to 11.9 mL/kg for ASV, and 3.5 to 9.9 mL/kg for MFV. Inspiratory pressures were lower for ASV and MFV. Clinician-selected tidal volumes were similar to the ASV settings for all scenarios except for asthma, in which the tidal volumes were larger for ASV and MFV. MFV delivered the same alveolar minute ventilation with higher end expiratory and lower end inspiratory volumes. Conclusions. There are differences and similarities among initial ventilator settings selected by humans and computers for various clinical scenarios. The ventilation outcomes are the result of the lung physiological characteristics and their interaction with the targeting scheme.http://dx.doi.org/10.1155/2012/204314 |
| spellingShingle | Eduardo Mireles-Cabodevila Enrique Diaz-Guzman Alejandro C. Arroliga Robert L. Chatburn Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation Critical Care Research and Practice |
| title | Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation |
| title_full | Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation |
| title_fullStr | Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation |
| title_full_unstemmed | Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation |
| title_short | Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation |
| title_sort | human versus computer controlled selection of ventilator settings an evaluation of adaptive support ventilation and mid frequency ventilation |
| url | http://dx.doi.org/10.1155/2012/204314 |
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