Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers
Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients....
Ausführliche Beschreibung
Autor*in: |
Vistisen, Simon Tilma [verfasserIn] Juhl-Olsen, Peter [verfasserIn] Frederiksen, Christian Alcaraz [verfasserIn] Kirkegaard, Hans [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2013 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Journal of clinical monitoring and computing - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985, 28(2013), 3 vom: 29. Okt., Seite 233-241 |
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Übergeordnetes Werk: |
volume:28 ; year:2013 ; number:3 ; day:29 ; month:10 ; pages:233-241 |
Links: |
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DOI / URN: |
10.1007/s10877-013-9526-6 |
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Katalog-ID: |
SPR014272024 |
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245 | 1 | 0 | |a Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers |
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520 | |a Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. | ||
650 | 4 | |a Fluid responsiveness |7 (dpeaa)DE-He213 | |
650 | 4 | |a Preload |7 (dpeaa)DE-He213 | |
650 | 4 | |a Cardiac output |7 (dpeaa)DE-He213 | |
650 | 4 | |a Hemodynamic monitoring |7 (dpeaa)DE-He213 | |
650 | 4 | |a Stroke volume |7 (dpeaa)DE-He213 | |
650 | 4 | |a Frank–Starling curve |7 (dpeaa)DE-He213 | |
700 | 1 | |a Juhl-Olsen, Peter |e verfasserin |4 aut | |
700 | 1 | |a Frederiksen, Christian Alcaraz |e verfasserin |4 aut | |
700 | 1 | |a Kirkegaard, Hans |e verfasserin |4 aut | |
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2013 |
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10.1007/s10877-013-9526-6 doi (DE-627)SPR014272024 (SPR)s10877-013-9526-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Vistisen, Simon Tilma verfasserin aut Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. Fluid responsiveness (dpeaa)DE-He213 Preload (dpeaa)DE-He213 Cardiac output (dpeaa)DE-He213 Hemodynamic monitoring (dpeaa)DE-He213 Stroke volume (dpeaa)DE-He213 Frank–Starling curve (dpeaa)DE-He213 Juhl-Olsen, Peter verfasserin aut Frederiksen, Christian Alcaraz verfasserin aut Kirkegaard, Hans verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 28(2013), 3 vom: 29. Okt., Seite 233-241 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:28 year:2013 number:3 day:29 month:10 pages:233-241 https://dx.doi.org/10.1007/s10877-013-9526-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 ASE 44.66 ASE AR 28 2013 3 29 10 233-241 |
spelling |
10.1007/s10877-013-9526-6 doi (DE-627)SPR014272024 (SPR)s10877-013-9526-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Vistisen, Simon Tilma verfasserin aut Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. Fluid responsiveness (dpeaa)DE-He213 Preload (dpeaa)DE-He213 Cardiac output (dpeaa)DE-He213 Hemodynamic monitoring (dpeaa)DE-He213 Stroke volume (dpeaa)DE-He213 Frank–Starling curve (dpeaa)DE-He213 Juhl-Olsen, Peter verfasserin aut Frederiksen, Christian Alcaraz verfasserin aut Kirkegaard, Hans verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 28(2013), 3 vom: 29. Okt., Seite 233-241 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:28 year:2013 number:3 day:29 month:10 pages:233-241 https://dx.doi.org/10.1007/s10877-013-9526-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 ASE 44.66 ASE AR 28 2013 3 29 10 233-241 |
allfields_unstemmed |
10.1007/s10877-013-9526-6 doi (DE-627)SPR014272024 (SPR)s10877-013-9526-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Vistisen, Simon Tilma verfasserin aut Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. Fluid responsiveness (dpeaa)DE-He213 Preload (dpeaa)DE-He213 Cardiac output (dpeaa)DE-He213 Hemodynamic monitoring (dpeaa)DE-He213 Stroke volume (dpeaa)DE-He213 Frank–Starling curve (dpeaa)DE-He213 Juhl-Olsen, Peter verfasserin aut Frederiksen, Christian Alcaraz verfasserin aut Kirkegaard, Hans verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 28(2013), 3 vom: 29. Okt., Seite 233-241 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:28 year:2013 number:3 day:29 month:10 pages:233-241 https://dx.doi.org/10.1007/s10877-013-9526-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 ASE 44.66 ASE AR 28 2013 3 29 10 233-241 |
allfieldsGer |
10.1007/s10877-013-9526-6 doi (DE-627)SPR014272024 (SPR)s10877-013-9526-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Vistisen, Simon Tilma verfasserin aut Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. Fluid responsiveness (dpeaa)DE-He213 Preload (dpeaa)DE-He213 Cardiac output (dpeaa)DE-He213 Hemodynamic monitoring (dpeaa)DE-He213 Stroke volume (dpeaa)DE-He213 Frank–Starling curve (dpeaa)DE-He213 Juhl-Olsen, Peter verfasserin aut Frederiksen, Christian Alcaraz verfasserin aut Kirkegaard, Hans verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 28(2013), 3 vom: 29. Okt., Seite 233-241 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:28 year:2013 number:3 day:29 month:10 pages:233-241 https://dx.doi.org/10.1007/s10877-013-9526-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 ASE 44.66 ASE AR 28 2013 3 29 10 233-241 |
allfieldsSound |
10.1007/s10877-013-9526-6 doi (DE-627)SPR014272024 (SPR)s10877-013-9526-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Vistisen, Simon Tilma verfasserin aut Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. Fluid responsiveness (dpeaa)DE-He213 Preload (dpeaa)DE-He213 Cardiac output (dpeaa)DE-He213 Hemodynamic monitoring (dpeaa)DE-He213 Stroke volume (dpeaa)DE-He213 Frank–Starling curve (dpeaa)DE-He213 Juhl-Olsen, Peter verfasserin aut Frederiksen, Christian Alcaraz verfasserin aut Kirkegaard, Hans verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 28(2013), 3 vom: 29. Okt., Seite 233-241 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:28 year:2013 number:3 day:29 month:10 pages:233-241 https://dx.doi.org/10.1007/s10877-013-9526-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 ASE 44.66 ASE AR 28 2013 3 29 10 233-241 |
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Enthalten in Journal of clinical monitoring and computing 28(2013), 3 vom: 29. Okt., Seite 233-241 volume:28 year:2013 number:3 day:29 month:10 pages:233-241 |
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Fluid responsiveness Preload Cardiac output Hemodynamic monitoring Stroke volume Frank–Starling curve |
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Journal of clinical monitoring and computing |
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Vistisen, Simon Tilma @@aut@@ Juhl-Olsen, Peter @@aut@@ Frederiksen, Christian Alcaraz @@aut@@ Kirkegaard, Hans @@aut@@ |
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2013-10-29T00:00:00Z |
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Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. 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Vistisen, Simon Tilma |
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Vistisen, Simon Tilma ddc 610 bkl 44.09 bkl 44.66 misc Fluid responsiveness misc Preload misc Cardiac output misc Hemodynamic monitoring misc Stroke volume misc Frank–Starling curve Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers |
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610 ASE 44.09 bkl 44.66 bkl Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers Fluid responsiveness (dpeaa)DE-He213 Preload (dpeaa)DE-He213 Cardiac output (dpeaa)DE-He213 Hemodynamic monitoring (dpeaa)DE-He213 Stroke volume (dpeaa)DE-He213 Frank–Starling curve (dpeaa)DE-He213 |
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ddc 610 bkl 44.09 bkl 44.66 misc Fluid responsiveness misc Preload misc Cardiac output misc Hemodynamic monitoring misc Stroke volume misc Frank–Starling curve |
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Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers |
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Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers |
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Elektronische Aufsätze |
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Vistisen, Simon Tilma |
doi_str_mv |
10.1007/s10877-013-9526-6 |
dewey-full |
610 |
author2-role |
verfasserin |
title_sort |
variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers |
title_auth |
Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers |
abstract |
Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. |
abstractGer |
Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. |
abstract_unstemmed |
Abstract Monitoring that can predict fluid responsiveness is an unsettled matter for spontaneously breathing patients. Mechanical ventilation induces cyclic variations in blood pressure, e.g. pulse pressure variation, whose magnitude predicts fluid responsiveness in mechanically ventilated patients. In this study, we hypothesised that a deep breathing manoeuvre with its effect on heart rate variability (HRV) could induce similar cyclic variations in blood pressure in spontaneously breathing healthy subjects and that the magnitude of these variations could predict the hemodynamic response to controlled haemorrhage. 37 blood donors were instructed to perform two simple deep breathing manoeuvres prior to blood donation; one manoeuvre with a respiratory cycle every 10 s (0.1 Hz) and one every 6 s (0.167 Hz). The variation in the pre-ejection period (∆PEP) was captured with the electrocardiographic and plethysmographic curves, while the hemodynamic response to haemorrhage was estimated with the cardiac output change assessed with ultrasonography. Respiratory HRV was estimated with root mean square of successive differences (RMSSD). Deep breathing induced cyclic changes in ∆PEP magnitude was significantly correlated to RMSSD (p < 0.005). ∆PEP indexed to RMSSD increased significantly following haemorrhage at the 0.167 Hz respiratory frequency (p = 0.01). At none of the respiratory manoeuvres was ∆PEP nor ∆PEP/RMSSD prior to haemorrhage correlated to changes in cardiac output following haemorrhage. Deep breathing induces cyclic changes in blood pressure that are strongly dependent on HRV. These blood pressure variations do, however, not predict the cardiac output response to controlled haemorrhage. |
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container_issue |
3 |
title_short |
Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers |
url |
https://dx.doi.org/10.1007/s10877-013-9526-6 |
remote_bool |
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author2 |
Juhl-Olsen, Peter Frederiksen, Christian Alcaraz Kirkegaard, Hans |
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doi_str |
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up_date |
2024-07-04T00:57:59.463Z |
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|
score |
7.400467 |