Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions

Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decre...
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Autor*in:	Momeni, Mona [verfasserIn] Meyer, Sabrina [verfasserIn] Docquier, Marie-Agnès [verfasserIn] Lemaire, Guillaume [verfasserIn] Kahn, David [verfasserIn] Khalifa, Céline [verfasserIn] Rosal Martins, Maria [verfasserIn] Van Dyck, Michel [verfasserIn] Jacquet, Luc-Marie [verfasserIn] Peeters, André [verfasserIn] Watremez, Christine [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Burst suppression Depth-of-anesthesia monitor Cerebral oximetry Postoperative delirium Postoperative cognitive decline

Übergeordnetes Werk:	Enthalten in: Journal of clinical monitoring and computing - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985, 33(2019), 6 vom: 11. Jan., Seite 999-1009
Übergeordnetes Werk:	volume:33 ; year:2019 ; number:6 ; day:11 ; month:01 ; pages:999-1009

Links:	Volltext

DOI / URN:	10.1007/s10877-019-00253-8

Katalog-ID:	SPR01427938X

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245	1	0	\|a Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions
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520			\|a Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions.
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700	1		\|a Jacquet, Luc-Marie \|e verfasserin \|4 aut
700	1		\|a Peeters, André \|e verfasserin \|4 aut
700	1		\|a Watremez, Christine \|e verfasserin \|4 aut
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allfields	10.1007/s10877-019-00253-8 doi (DE-627)SPR01427938X (SPR)s10877-019-00253-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Momeni, Mona verfasserin aut Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions. Burst suppression (dpeaa)DE-He213 Depth-of-anesthesia monitor (dpeaa)DE-He213 Cerebral oximetry (dpeaa)DE-He213 Postoperative delirium (dpeaa)DE-He213 Postoperative cognitive decline (dpeaa)DE-He213 Meyer, Sabrina verfasserin aut Docquier, Marie-Agnès verfasserin aut Lemaire, Guillaume verfasserin aut Kahn, David verfasserin aut Khalifa, Céline verfasserin aut Rosal Martins, Maria verfasserin aut Van Dyck, Michel verfasserin aut Jacquet, Luc-Marie verfasserin aut Peeters, André verfasserin aut Watremez, Christine verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 33(2019), 6 vom: 11. Jan., Seite 999-1009 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:33 year:2019 number:6 day:11 month:01 pages:999-1009 https://dx.doi.org/10.1007/s10877-019-00253-8 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 33 2019 6 11 01 999-1009
spelling	10.1007/s10877-019-00253-8 doi (DE-627)SPR01427938X (SPR)s10877-019-00253-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Momeni, Mona verfasserin aut Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions. Burst suppression (dpeaa)DE-He213 Depth-of-anesthesia monitor (dpeaa)DE-He213 Cerebral oximetry (dpeaa)DE-He213 Postoperative delirium (dpeaa)DE-He213 Postoperative cognitive decline (dpeaa)DE-He213 Meyer, Sabrina verfasserin aut Docquier, Marie-Agnès verfasserin aut Lemaire, Guillaume verfasserin aut Kahn, David verfasserin aut Khalifa, Céline verfasserin aut Rosal Martins, Maria verfasserin aut Van Dyck, Michel verfasserin aut Jacquet, Luc-Marie verfasserin aut Peeters, André verfasserin aut Watremez, Christine verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 33(2019), 6 vom: 11. Jan., Seite 999-1009 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:33 year:2019 number:6 day:11 month:01 pages:999-1009 https://dx.doi.org/10.1007/s10877-019-00253-8 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 33 2019 6 11 01 999-1009
allfields_unstemmed	10.1007/s10877-019-00253-8 doi (DE-627)SPR01427938X (SPR)s10877-019-00253-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Momeni, Mona verfasserin aut Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions. Burst suppression (dpeaa)DE-He213 Depth-of-anesthesia monitor (dpeaa)DE-He213 Cerebral oximetry (dpeaa)DE-He213 Postoperative delirium (dpeaa)DE-He213 Postoperative cognitive decline (dpeaa)DE-He213 Meyer, Sabrina verfasserin aut Docquier, Marie-Agnès verfasserin aut Lemaire, Guillaume verfasserin aut Kahn, David verfasserin aut Khalifa, Céline verfasserin aut Rosal Martins, Maria verfasserin aut Van Dyck, Michel verfasserin aut Jacquet, Luc-Marie verfasserin aut Peeters, André verfasserin aut Watremez, Christine verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 33(2019), 6 vom: 11. Jan., Seite 999-1009 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:33 year:2019 number:6 day:11 month:01 pages:999-1009 https://dx.doi.org/10.1007/s10877-019-00253-8 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 33 2019 6 11 01 999-1009
allfieldsGer	10.1007/s10877-019-00253-8 doi (DE-627)SPR01427938X (SPR)s10877-019-00253-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Momeni, Mona verfasserin aut Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions. Burst suppression (dpeaa)DE-He213 Depth-of-anesthesia monitor (dpeaa)DE-He213 Cerebral oximetry (dpeaa)DE-He213 Postoperative delirium (dpeaa)DE-He213 Postoperative cognitive decline (dpeaa)DE-He213 Meyer, Sabrina verfasserin aut Docquier, Marie-Agnès verfasserin aut Lemaire, Guillaume verfasserin aut Kahn, David verfasserin aut Khalifa, Céline verfasserin aut Rosal Martins, Maria verfasserin aut Van Dyck, Michel verfasserin aut Jacquet, Luc-Marie verfasserin aut Peeters, André verfasserin aut Watremez, Christine verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 33(2019), 6 vom: 11. Jan., Seite 999-1009 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:33 year:2019 number:6 day:11 month:01 pages:999-1009 https://dx.doi.org/10.1007/s10877-019-00253-8 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 33 2019 6 11 01 999-1009
allfieldsSound	10.1007/s10877-019-00253-8 doi (DE-627)SPR01427938X (SPR)s10877-019-00253-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.09 bkl 44.66 bkl Momeni, Mona verfasserin aut Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions. Burst suppression (dpeaa)DE-He213 Depth-of-anesthesia monitor (dpeaa)DE-He213 Cerebral oximetry (dpeaa)DE-He213 Postoperative delirium (dpeaa)DE-He213 Postoperative cognitive decline (dpeaa)DE-He213 Meyer, Sabrina verfasserin aut Docquier, Marie-Agnès verfasserin aut Lemaire, Guillaume verfasserin aut Kahn, David verfasserin aut Khalifa, Céline verfasserin aut Rosal Martins, Maria verfasserin aut Van Dyck, Michel verfasserin aut Jacquet, Luc-Marie verfasserin aut Peeters, André verfasserin aut Watremez, Christine verfasserin aut Enthalten in Journal of clinical monitoring and computing Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985 33(2019), 6 vom: 11. Jan., Seite 999-1009 (DE-627)320483797 (DE-600)2010139-9 1573-2614 nnns volume:33 year:2019 number:6 day:11 month:01 pages:999-1009 https://dx.doi.org/10.1007/s10877-019-00253-8 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 33 2019 6 11 01 999-1009
language	English
source	Enthalten in Journal of clinical monitoring and computing 33(2019), 6 vom: 11. Jan., Seite 999-1009 volume:33 year:2019 number:6 day:11 month:01 pages:999-1009
sourceStr	Enthalten in Journal of clinical monitoring and computing 33(2019), 6 vom: 11. Jan., Seite 999-1009 volume:33 year:2019 number:6 day:11 month:01 pages:999-1009
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Burst suppression Depth-of-anesthesia monitor Cerebral oximetry Postoperative delirium Postoperative cognitive decline
dewey-raw	610
isfreeaccess_bool	false
container_title	Journal of clinical monitoring and computing
authorswithroles_txt_mv	Momeni, Mona @@aut@@ Meyer, Sabrina @@aut@@ Docquier, Marie-Agnès @@aut@@ Lemaire, Guillaume @@aut@@ Kahn, David @@aut@@ Khalifa, Céline @@aut@@ Rosal Martins, Maria @@aut@@ Van Dyck, Michel @@aut@@ Jacquet, Luc-Marie @@aut@@ Peeters, André @@aut@@ Watremez, Christine @@aut@@
publishDateDaySort_date	2019-01-11T00:00:00Z
hierarchy_top_id	320483797
dewey-sort	3610
id	SPR01427938X
language_de	englisch
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Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Burst suppression</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Depth-of-anesthesia monitor</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cerebral oximetry</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Postoperative delirium</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Postoperative cognitive decline</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Meyer, Sabrina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Docquier, Marie-Agnès</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lemaire, Guillaume</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kahn, David</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Khalifa, Céline</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rosal Martins, Maria</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Van Dyck, Michel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jacquet, Luc-Marie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Peeters, André</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Watremez, Christine</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of clinical monitoring and computing</subfield><subfield code="d">Dordrecht [u.a.] : Springer Science + Business Media B.V., 1985</subfield><subfield code="g">33(2019), 6 vom: 11. 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author	Momeni, Mona
spellingShingle	Momeni, Mona ddc 610 bkl 44.09 bkl 44.66 misc Burst suppression misc Depth-of-anesthesia monitor misc Cerebral oximetry misc Postoperative delirium misc Postoperative cognitive decline Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions
authorStr	Momeni, Mona
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topic_title	610 ASE 44.09 bkl 44.66 bkl Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions Burst suppression (dpeaa)DE-He213 Depth-of-anesthesia monitor (dpeaa)DE-He213 Cerebral oximetry (dpeaa)DE-He213 Postoperative delirium (dpeaa)DE-He213 Postoperative cognitive decline (dpeaa)DE-He213
topic	ddc 610 bkl 44.09 bkl 44.66 misc Burst suppression misc Depth-of-anesthesia monitor misc Cerebral oximetry misc Postoperative delirium misc Postoperative cognitive decline
topic_unstemmed	ddc 610 bkl 44.09 bkl 44.66 misc Burst suppression misc Depth-of-anesthesia monitor misc Cerebral oximetry misc Postoperative delirium misc Postoperative cognitive decline
topic_browse	ddc 610 bkl 44.09 bkl 44.66 misc Burst suppression misc Depth-of-anesthesia monitor misc Cerebral oximetry misc Postoperative delirium misc Postoperative cognitive decline
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title	Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions
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title_full	Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions
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author_browse	Momeni, Mona Meyer, Sabrina Docquier, Marie-Agnès Lemaire, Guillaume Kahn, David Khalifa, Céline Rosal Martins, Maria Van Dyck, Michel Jacquet, Luc-Marie Peeters, André Watremez, Christine
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title_sort	predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions
title_auth	Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions
abstract	Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions.
abstractGer	Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions.
abstract_unstemmed	Abstract Studies have associated electroencephalogram (EEG) suppression with postoperative delirium (POD) and postoperative cognitive decline (POCD). Otherwise, improving cerebral tissue oxygen saturation ($ rScO_{2} $) seems beneficial. No study has evaluated the impact of EEG suppression and decreased $ rScO_{2} $ on the incidence of POD and POCD when the intraoperative management of patients is performed with a depth-of-anesthesia (DOA) monitor and a cerebral oximetry. In this prospective study patients undergoing cardiac interventions were monitored with the $ NeuroSENSE^{®} $ DOA monitor and bilateral cerebral oximetry. An algorithm was used to optimize cerebral oxygenation. EEG suppression was presented as total area under the curve (AUC) of suppression ratio (SR) > 0 s ($ AUC_{EEGSR>0s} $). Cerebral desaturation was defined as AUC of 25% drop of oximetry values as compared to baseline. POD was evaluated by the chart review method. POCD was defined as a Z-score ≤ 2 based on Mini Mental State Examination at baseline and day 5 or if the patient reported any cognitive decline at 3 and at 6 months postoperatively. Among the 1616 patients, 1513 underwent normothermic surgery and were further analyzed. POD and POCD were respectively evaluated in 1504 and 1350 patients of whom 303 (20%) and 270 (20%) were respectively diagnosed positive. Having experienced high magnitudes of EEG suppression (fourth quartile of $ AUC_{EEGSR>0s} $) was significantly associated with POD (OR = 2.247; 95% CI = 1.414–3.571; P = 0.001). Low $ rScO_{2} $ at the end of surgery was statistically associated with POCD (OR = 0.981; 95% CI = 0.965–0.997; P = 0.018). The results of our study show that the degree of intraoperative EEG suppression on one hand, and low $ rScO_{2} $ at the end of procedure on the other hand, are associated with respectively POD and POCD in patients undergoing cardiac interventions.
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container_issue	6
title_short	Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions
url	https://dx.doi.org/10.1007/s10877-019-00253-8
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author2	Meyer, Sabrina Docquier, Marie-Agnès Lemaire, Guillaume Kahn, David Khalifa, Céline Rosal Martins, Maria Van Dyck, Michel Jacquet, Luc-Marie Peeters, André Watremez, Christine
author2Str	Meyer, Sabrina Docquier, Marie-Agnès Lemaire, Guillaume Kahn, David Khalifa, Céline Rosal Martins, Maria Van Dyck, Michel Jacquet, Luc-Marie Peeters, André Watremez, Christine
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up_date	2024-07-04T01:00:22.703Z
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Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions

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