Validation of respiratory mechanics software in microprocessor-controlled ventilators

BACKGROUND AND METHODSSeveral microprocessor-controlled ventilators, available for clinical use, contain optional computer software programs capable of performing near-instantaneous determinations of airway resistance and lung compliance. This study was undertaken to determine the validity of the me...

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Veröffentlicht in:Critical care medicine 1992-08, Vol.20 (8), p.1152-1156
Hauptverfasser: KORST, ROBERT J, ORLANDO, ROCCO, YESTON, NEIL S, MOLIN, MELINDA, DE GRAFF, ARTHUR C, GLUCK, ERIC
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container_end_page 1156
container_issue 8
container_start_page 1152
container_title Critical care medicine
container_volume 20
creator KORST, ROBERT J
ORLANDO, ROCCO
YESTON, NEIL S
MOLIN, MELINDA
DE GRAFF, ARTHUR C
GLUCK, ERIC
description BACKGROUND AND METHODSSeveral microprocessor-controlled ventilators, available for clinical use, contain optional computer software programs capable of performing near-instantaneous determinations of airway resistance and lung compliance. This study was undertaken to determine the validity of the measurements for airway resistance and lung compliance obtained by the software packages on three microprocessor-controlled ventilators. Three ventilator models were studied. An artificial ventilator-patient circuit was constructed using a test lung and an endotracheal tube. Airway pressure and gas flow curves were recorded using conventional means. Static lung compliance and airway resistance were calculated using standard equations, while automated measurements were obtained from the ventilators. The following parameters were then varied to simulate a wide variety of clinical situationstidal volume, peak inspiratory flow rate, respiratory rate, endotracheal tube, and test lung compliance. RESULTSAutomated measurements were highly correlated with values obtained manually (resistancePuritan-Bennett 7200a r = .94, Bear 5 r = .98, Veolar r = .96; compliance7200a r = .93, Bear 5 r = .97, Veolar r = .97). Calculated limits of agreement between the two methods demonstrate that although not in absolute agreement, the software-determined values for airway resistance and lung compliance differed from the manually derived values in a ventilator-specific, predictable fashion. CONCLUSIONSThe correlation and agreement demonstrated between values of airway resistance and lung compliance measured by the respiratory mechanics software packages and those values derived manually suggest that these software packages may be useful for measuring trends, as well as responding to treatment in the clinical setting. These results apply only to the controlled, mechanical ventilation mode. Further studies are indicated to validate this software in patients capable of generating spontaneous breaths. (Crit Care Med 1992; 20:1152–1156)
doi_str_mv 10.1097/00003246-199208000-00015
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This study was undertaken to determine the validity of the measurements for airway resistance and lung compliance obtained by the software packages on three microprocessor-controlled ventilators. Three ventilator models were studied. An artificial ventilator-patient circuit was constructed using a test lung and an endotracheal tube. Airway pressure and gas flow curves were recorded using conventional means. Static lung compliance and airway resistance were calculated using standard equations, while automated measurements were obtained from the ventilators. The following parameters were then varied to simulate a wide variety of clinical situationstidal volume, peak inspiratory flow rate, respiratory rate, endotracheal tube, and test lung compliance. RESULTSAutomated measurements were highly correlated with values obtained manually (resistancePuritan-Bennett 7200a r = .94, Bear 5 r = .98, Veolar r = .96; compliance7200a r = .93, Bear 5 r = .97, Veolar r = .97). Calculated limits of agreement between the two methods demonstrate that although not in absolute agreement, the software-determined values for airway resistance and lung compliance differed from the manually derived values in a ventilator-specific, predictable fashion. CONCLUSIONSThe correlation and agreement demonstrated between values of airway resistance and lung compliance measured by the respiratory mechanics software packages and those values derived manually suggest that these software packages may be useful for measuring trends, as well as responding to treatment in the clinical setting. These results apply only to the controlled, mechanical ventilation mode. Further studies are indicated to validate this software in patients capable of generating spontaneous breaths. (Crit Care Med 1992; 20:1152–1156)</description><identifier>ISSN: 0090-3493</identifier><identifier>EISSN: 1530-0293</identifier><identifier>DOI: 10.1097/00003246-199208000-00015</identifier><identifier>PMID: 1643895</identifier><identifier>CODEN: CCMDC7</identifier><language>eng</language><publisher>Hagerstown, MD: Williams &amp; Wilkins</publisher><subject>Airway Resistance ; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Biological and medical sciences ; Emergency and intensive care: techniques, logistics ; Evaluation Studies as Topic ; Humans ; Intensive care medicine ; Lung Compliance ; Medical sciences ; Microcomputers ; Monitoring ; Respiratory Mechanics ; Software ; Ventilators, Mechanical</subject><ispartof>Critical care medicine, 1992-08, Vol.20 (8), p.1152-1156</ispartof><rights>Williams &amp; Wilkins 1992. 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This study was undertaken to determine the validity of the measurements for airway resistance and lung compliance obtained by the software packages on three microprocessor-controlled ventilators. Three ventilator models were studied. An artificial ventilator-patient circuit was constructed using a test lung and an endotracheal tube. Airway pressure and gas flow curves were recorded using conventional means. Static lung compliance and airway resistance were calculated using standard equations, while automated measurements were obtained from the ventilators. The following parameters were then varied to simulate a wide variety of clinical situationstidal volume, peak inspiratory flow rate, respiratory rate, endotracheal tube, and test lung compliance. RESULTSAutomated measurements were highly correlated with values obtained manually (resistancePuritan-Bennett 7200a r = .94, Bear 5 r = .98, Veolar r = .96; compliance7200a r = .93, Bear 5 r = .97, Veolar r = .97). Calculated limits of agreement between the two methods demonstrate that although not in absolute agreement, the software-determined values for airway resistance and lung compliance differed from the manually derived values in a ventilator-specific, predictable fashion. CONCLUSIONSThe correlation and agreement demonstrated between values of airway resistance and lung compliance measured by the respiratory mechanics software packages and those values derived manually suggest that these software packages may be useful for measuring trends, as well as responding to treatment in the clinical setting. These results apply only to the controlled, mechanical ventilation mode. Further studies are indicated to validate this software in patients capable of generating spontaneous breaths. (Crit Care Med 1992; 20:1152–1156)</description><subject>Airway Resistance</subject><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Biological and medical sciences</subject><subject>Emergency and intensive care: techniques, logistics</subject><subject>Evaluation Studies as Topic</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Lung Compliance</subject><subject>Medical sciences</subject><subject>Microcomputers</subject><subject>Monitoring</subject><subject>Respiratory Mechanics</subject><subject>Software</subject><subject>Ventilators, Mechanical</subject><issn>0090-3493</issn><issn>1530-0293</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1992</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kUFrHCEUx6U0JNu0HyEwh5LbtOrTGT2GkDaBQC9pr_JGHdbGGTc62yXfPm53k54qiDze76-Pn4Q0jH5hVPdfaV3ARdcyrTlVtWrrZvIdWTEJteAa3pMVpZq2IDSckQ-l_K6EkD2cklPWCVBarsjPXxiDwyWkuUljk33ZhIxLys_N5O0a52BLU9K47DD7JszNFGxOm5ysLyXl1qZ5ySlG75o_fl5C3GfLR3IyYiz-0_E8Jw_fbh6ub9v7H9_vrq_uWwtKyLbnrJcg0TkFWgjOJB00760fJOedG2mnwWGnmALHmQM6DA5RKwsDyoHDObk8XFvnedr6spgpFOtjxNmnbTE9UMWp1BVUB7DOXkr2o9nkMGF-NoyavVDzKtS8CTV_hdboxfGN7TB59y94MFj7n499LBbjmHG2obxhUqjqfI-JA7ZLcfG5PMbtzmez9hiXtfnfd8ILIuCOQQ</recordid><startdate>199208</startdate><enddate>199208</enddate><creator>KORST, ROBERT J</creator><creator>ORLANDO, ROCCO</creator><creator>YESTON, NEIL S</creator><creator>MOLIN, MELINDA</creator><creator>DE GRAFF, ARTHUR C</creator><creator>GLUCK, ERIC</creator><general>Williams &amp; Wilkins</general><general>Lippincott</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>199208</creationdate><title>Validation of respiratory mechanics software in microprocessor-controlled ventilators</title><author>KORST, ROBERT J ; ORLANDO, ROCCO ; YESTON, NEIL S ; MOLIN, MELINDA ; DE GRAFF, ARTHUR C ; GLUCK, ERIC</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3845-7217535add839442150b927ceb5226df0693da68183d21d30bbdaa98c3ba5b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Airway Resistance</topic><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Biological and medical sciences</topic><topic>Emergency and intensive care: techniques, logistics</topic><topic>Evaluation Studies as Topic</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Lung Compliance</topic><topic>Medical sciences</topic><topic>Microcomputers</topic><topic>Monitoring</topic><topic>Respiratory Mechanics</topic><topic>Software</topic><topic>Ventilators, Mechanical</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KORST, ROBERT J</creatorcontrib><creatorcontrib>ORLANDO, ROCCO</creatorcontrib><creatorcontrib>YESTON, NEIL S</creatorcontrib><creatorcontrib>MOLIN, MELINDA</creatorcontrib><creatorcontrib>DE GRAFF, ARTHUR C</creatorcontrib><creatorcontrib>GLUCK, ERIC</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Critical care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KORST, ROBERT J</au><au>ORLANDO, ROCCO</au><au>YESTON, NEIL S</au><au>MOLIN, MELINDA</au><au>DE GRAFF, ARTHUR C</au><au>GLUCK, ERIC</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of respiratory mechanics software in microprocessor-controlled ventilators</atitle><jtitle>Critical care medicine</jtitle><addtitle>Crit Care Med</addtitle><date>1992-08</date><risdate>1992</risdate><volume>20</volume><issue>8</issue><spage>1152</spage><epage>1156</epage><pages>1152-1156</pages><issn>0090-3493</issn><eissn>1530-0293</eissn><coden>CCMDC7</coden><abstract>BACKGROUND AND METHODSSeveral microprocessor-controlled ventilators, available for clinical use, contain optional computer software programs capable of performing near-instantaneous determinations of airway resistance and lung compliance. This study was undertaken to determine the validity of the measurements for airway resistance and lung compliance obtained by the software packages on three microprocessor-controlled ventilators. Three ventilator models were studied. An artificial ventilator-patient circuit was constructed using a test lung and an endotracheal tube. Airway pressure and gas flow curves were recorded using conventional means. Static lung compliance and airway resistance were calculated using standard equations, while automated measurements were obtained from the ventilators. The following parameters were then varied to simulate a wide variety of clinical situationstidal volume, peak inspiratory flow rate, respiratory rate, endotracheal tube, and test lung compliance. RESULTSAutomated measurements were highly correlated with values obtained manually (resistancePuritan-Bennett 7200a r = .94, Bear 5 r = .98, Veolar r = .96; compliance7200a r = .93, Bear 5 r = .97, Veolar r = .97). Calculated limits of agreement between the two methods demonstrate that although not in absolute agreement, the software-determined values for airway resistance and lung compliance differed from the manually derived values in a ventilator-specific, predictable fashion. CONCLUSIONSThe correlation and agreement demonstrated between values of airway resistance and lung compliance measured by the respiratory mechanics software packages and those values derived manually suggest that these software packages may be useful for measuring trends, as well as responding to treatment in the clinical setting. These results apply only to the controlled, mechanical ventilation mode. Further studies are indicated to validate this software in patients capable of generating spontaneous breaths. (Crit Care Med 1992; 20:1152–1156)</abstract><cop>Hagerstown, MD</cop><pub>Williams &amp; Wilkins</pub><pmid>1643895</pmid><doi>10.1097/00003246-199208000-00015</doi><tpages>5</tpages></addata></record>
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source MEDLINE; Journals@Ovid Complete
subjects Airway Resistance
Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy
Biological and medical sciences
Emergency and intensive care: techniques, logistics
Evaluation Studies as Topic
Humans
Intensive care medicine
Lung Compliance
Medical sciences
Microcomputers
Monitoring
Respiratory Mechanics
Software
Ventilators, Mechanical
title Validation of respiratory mechanics software in microprocessor-controlled ventilators
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