Volume-dependent compliance in ARDS: proposal of a new diagnostic concept
Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information...
Ausführliche Beschreibung
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1999 |
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Springer Online Journal Archives 1860-2002 |
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in: Intensive care medicine - 1975, 25(1999) vom: Okt., Seite 1084-1091 |
Übergeordnetes Werk: |
volume:25 ; year:1999 ; month:10 ; pages:1084-1091 ; extent:8 |
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NLEJ200017047 |
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520 | |a Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. | ||
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700 | 1 | |a Geiger, K. |4 oth | |
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(DE-627)NLEJ200017047 DE-627 ger DE-627 rakwb eng Volume-dependent compliance in ARDS: proposal of a new diagnostic concept 1999 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. Springer Online Journal Archives 1860-2002 Mols, G. oth Brandes, I. oth Kessler, V. oth Lichtwarck-Aschoff, M. oth Loop, T. oth Geiger, K. oth Guttmann, J. oth in Intensive care medicine 1975 25(1999) vom: Okt., Seite 1084-1091 (DE-627)NLEJ188995587 (DE-600)1459201-0 1432-1238 nnns volume:25 year:1999 month:10 pages:1084-1091 extent:8 http://dx.doi.org/10.1007/s001340051016 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 25 1999 10 1084-1091 8 |
spelling |
(DE-627)NLEJ200017047 DE-627 ger DE-627 rakwb eng Volume-dependent compliance in ARDS: proposal of a new diagnostic concept 1999 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. Springer Online Journal Archives 1860-2002 Mols, G. oth Brandes, I. oth Kessler, V. oth Lichtwarck-Aschoff, M. oth Loop, T. oth Geiger, K. oth Guttmann, J. oth in Intensive care medicine 1975 25(1999) vom: Okt., Seite 1084-1091 (DE-627)NLEJ188995587 (DE-600)1459201-0 1432-1238 nnns volume:25 year:1999 month:10 pages:1084-1091 extent:8 http://dx.doi.org/10.1007/s001340051016 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 25 1999 10 1084-1091 8 |
allfields_unstemmed |
(DE-627)NLEJ200017047 DE-627 ger DE-627 rakwb eng Volume-dependent compliance in ARDS: proposal of a new diagnostic concept 1999 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. Springer Online Journal Archives 1860-2002 Mols, G. oth Brandes, I. oth Kessler, V. oth Lichtwarck-Aschoff, M. oth Loop, T. oth Geiger, K. oth Guttmann, J. oth in Intensive care medicine 1975 25(1999) vom: Okt., Seite 1084-1091 (DE-627)NLEJ188995587 (DE-600)1459201-0 1432-1238 nnns volume:25 year:1999 month:10 pages:1084-1091 extent:8 http://dx.doi.org/10.1007/s001340051016 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 25 1999 10 1084-1091 8 |
allfieldsGer |
(DE-627)NLEJ200017047 DE-627 ger DE-627 rakwb eng Volume-dependent compliance in ARDS: proposal of a new diagnostic concept 1999 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. Springer Online Journal Archives 1860-2002 Mols, G. oth Brandes, I. oth Kessler, V. oth Lichtwarck-Aschoff, M. oth Loop, T. oth Geiger, K. oth Guttmann, J. oth in Intensive care medicine 1975 25(1999) vom: Okt., Seite 1084-1091 (DE-627)NLEJ188995587 (DE-600)1459201-0 1432-1238 nnns volume:25 year:1999 month:10 pages:1084-1091 extent:8 http://dx.doi.org/10.1007/s001340051016 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 25 1999 10 1084-1091 8 |
allfieldsSound |
(DE-627)NLEJ200017047 DE-627 ger DE-627 rakwb eng Volume-dependent compliance in ARDS: proposal of a new diagnostic concept 1999 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. Springer Online Journal Archives 1860-2002 Mols, G. oth Brandes, I. oth Kessler, V. oth Lichtwarck-Aschoff, M. oth Loop, T. oth Geiger, K. oth Guttmann, J. oth in Intensive care medicine 1975 25(1999) vom: Okt., Seite 1084-1091 (DE-627)NLEJ188995587 (DE-600)1459201-0 1432-1238 nnns volume:25 year:1999 month:10 pages:1084-1091 extent:8 http://dx.doi.org/10.1007/s001340051016 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 25 1999 10 1084-1091 8 |
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abstract |
Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. |
abstractGer |
Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. |
abstract_unstemmed |
Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. The proposed diagnostic concept may serve as a new tool to obtain a standardized estimation of respiratory system compliance within VT non-invasively without interfering with ongoing mechanical ventilation. |
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Volume-dependent compliance in ARDS: proposal of a new diagnostic concept |
url |
http://dx.doi.org/10.1007/s001340051016 |
remote_bool |
true |
author2 |
Mols, G. Brandes, I. Kessler, V. Lichtwarck-Aschoff, M. Loop, T. Geiger, K. Guttmann, J. |
author2Str |
Mols, G. Brandes, I. Kessler, V. Lichtwarck-Aschoff, M. Loop, T. Geiger, K. Guttmann, J. |
ppnlink |
NLEJ188995587 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth oth oth oth oth |
up_date |
2024-07-06T01:42:56.324Z |
_version_ |
1803792077377503232 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ200017047</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230506090611.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">070527s1999 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ200017047</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Volume-dependent compliance in ARDS: proposal of a new diagnostic concept</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1999</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Objective: Adaptation of ventilator settings to the individual's respiratory system mechanics requires information about the pressure-volume relationship and the change of compliance which is dependent on inflated volume. Unfortunately, established methods of obtaining this information are invasive and time-consuming, and, therefore, not well suited for clinical routine. We propose a new standardized diagnostic concept based on the recently developed slice method. This multiple linear regression method (MLR) determines volume-dependent respiratory system compliance (CSLICE) within the tidal volume (VT) during ongoing mechanical ventilation. The impact of a ventilator strategy, recommended by a consensus conference, on the course of compliance within VT was investigated in patients with the acute respiratory distress syndrome (ARDS) or acute lung injury (ALI).¶Design: Prospective observational study.¶Setting: Intensive care unit of a university hospital.¶Patients: 14 ARDS patients, 2 patients with ALI.¶Interventions: None.¶Measurements and results: After measurement of flow and airway pressure and calculation of tracheal pressure, CSLICE was determined. The resulting course of CSLICE within VT was estimated using a mathematical algorithm. CSLICE data were compared to those obtained by standard MLR. We found decreasing CSLICE mainly in the upper part of VT in all patients. In 7 patients, we found an additional increasing CSLICE mainly in the lower part of VT.¶Conclusions: CSLICE was not constant in patients with ARDS/ALI whose lungs were ventilated according to consensus conference recommendations. 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score |
7.398181 |