Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients

Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation...
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Gespeichert in:

Autor*in:	Kim, Tae Youn [verfasserIn] Hwang, Sung Oh [verfasserIn] Jung, Woo Jin [verfasserIn] Roh, Young Il [verfasserIn] Kim, Soyeong [verfasserIn] Kim, Hyun [verfasserIn] Cha, Kyoung-Chul [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Cardiac arrest Cardiopulmonary resuscitation Post-cardiac arrest syndrome Prognosis

Übergeordnetes Werk:	Enthalten in: Journal of critical care - [Amsterdam] : Elsevier, 1986, 65, Seite 149-155
Übergeordnetes Werk:	volume:65 ; pages:149-155

DOI / URN:	10.1016/j.jcrc.2021.06.003

Katalog-ID:	ELV00670607X

Internformat


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245	1	0	\|a Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients
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520			\|a Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients.
650		4	\|a Cardiac arrest
650		4	\|a Cardiopulmonary resuscitation
650		4	\|a Post-cardiac arrest syndrome
650		4	\|a Prognosis
700	1		\|a Hwang, Sung Oh \|e verfasserin \|4 aut
700	1		\|a Jung, Woo Jin \|e verfasserin \|4 aut
700	1		\|a Roh, Young Il \|e verfasserin \|4 aut
700	1		\|a Kim, Soyeong \|e verfasserin \|4 aut
700	1		\|a Kim, Hyun \|e verfasserin \|4 aut
700	1		\|a Cha, Kyoung-Chul \|e verfasserin \|4 aut
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publishDate	2021
allfields	10.1016/j.jcrc.2021.06.003 doi (DE-627)ELV00670607X (ELSEVIER)S0883-9441(21)00112-X DE-627 ger DE-627 rda eng 610 DE-600 44.69 bkl Kim, Tae Youn verfasserin aut Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients. Cardiac arrest Cardiopulmonary resuscitation Post-cardiac arrest syndrome Prognosis Hwang, Sung Oh verfasserin aut Jung, Woo Jin verfasserin aut Roh, Young Il verfasserin aut Kim, Soyeong verfasserin aut Kim, Hyun verfasserin aut Cha, Kyoung-Chul verfasserin aut Enthalten in Journal of critical care [Amsterdam] : Elsevier, 1986 65, Seite 149-155 Online-Ressource (DE-627)326646167 (DE-600)2041640-4 (DE-576)096188820 1557-8615 nnns volume:65 pages:149-155 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.69 Intensivmedizin AR 65 149-155
spelling	10.1016/j.jcrc.2021.06.003 doi (DE-627)ELV00670607X (ELSEVIER)S0883-9441(21)00112-X DE-627 ger DE-627 rda eng 610 DE-600 44.69 bkl Kim, Tae Youn verfasserin aut Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients. Cardiac arrest Cardiopulmonary resuscitation Post-cardiac arrest syndrome Prognosis Hwang, Sung Oh verfasserin aut Jung, Woo Jin verfasserin aut Roh, Young Il verfasserin aut Kim, Soyeong verfasserin aut Kim, Hyun verfasserin aut Cha, Kyoung-Chul verfasserin aut Enthalten in Journal of critical care [Amsterdam] : Elsevier, 1986 65, Seite 149-155 Online-Ressource (DE-627)326646167 (DE-600)2041640-4 (DE-576)096188820 1557-8615 nnns volume:65 pages:149-155 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.69 Intensivmedizin AR 65 149-155
allfields_unstemmed	10.1016/j.jcrc.2021.06.003 doi (DE-627)ELV00670607X (ELSEVIER)S0883-9441(21)00112-X DE-627 ger DE-627 rda eng 610 DE-600 44.69 bkl Kim, Tae Youn verfasserin aut Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients. Cardiac arrest Cardiopulmonary resuscitation Post-cardiac arrest syndrome Prognosis Hwang, Sung Oh verfasserin aut Jung, Woo Jin verfasserin aut Roh, Young Il verfasserin aut Kim, Soyeong verfasserin aut Kim, Hyun verfasserin aut Cha, Kyoung-Chul verfasserin aut Enthalten in Journal of critical care [Amsterdam] : Elsevier, 1986 65, Seite 149-155 Online-Ressource (DE-627)326646167 (DE-600)2041640-4 (DE-576)096188820 1557-8615 nnns volume:65 pages:149-155 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.69 Intensivmedizin AR 65 149-155
allfieldsGer	10.1016/j.jcrc.2021.06.003 doi (DE-627)ELV00670607X (ELSEVIER)S0883-9441(21)00112-X DE-627 ger DE-627 rda eng 610 DE-600 44.69 bkl Kim, Tae Youn verfasserin aut Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients. Cardiac arrest Cardiopulmonary resuscitation Post-cardiac arrest syndrome Prognosis Hwang, Sung Oh verfasserin aut Jung, Woo Jin verfasserin aut Roh, Young Il verfasserin aut Kim, Soyeong verfasserin aut Kim, Hyun verfasserin aut Cha, Kyoung-Chul verfasserin aut Enthalten in Journal of critical care [Amsterdam] : Elsevier, 1986 65, Seite 149-155 Online-Ressource (DE-627)326646167 (DE-600)2041640-4 (DE-576)096188820 1557-8615 nnns volume:65 pages:149-155 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.69 Intensivmedizin AR 65 149-155
allfieldsSound	10.1016/j.jcrc.2021.06.003 doi (DE-627)ELV00670607X (ELSEVIER)S0883-9441(21)00112-X DE-627 ger DE-627 rda eng 610 DE-600 44.69 bkl Kim, Tae Youn verfasserin aut Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients. Cardiac arrest Cardiopulmonary resuscitation Post-cardiac arrest syndrome Prognosis Hwang, Sung Oh verfasserin aut Jung, Woo Jin verfasserin aut Roh, Young Il verfasserin aut Kim, Soyeong verfasserin aut Kim, Hyun verfasserin aut Cha, Kyoung-Chul verfasserin aut Enthalten in Journal of critical care [Amsterdam] : Elsevier, 1986 65, Seite 149-155 Online-Ressource (DE-627)326646167 (DE-600)2041640-4 (DE-576)096188820 1557-8615 nnns volume:65 pages:149-155 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.69 Intensivmedizin AR 65 149-155
language	English
source	Enthalten in Journal of critical care 65, Seite 149-155 volume:65 pages:149-155
sourceStr	Enthalten in Journal of critical care 65, Seite 149-155 volume:65 pages:149-155
format_phy_str_mv	Article
bklname	Intensivmedizin
institution	findex.gbv.de
topic_facet	Cardiac arrest Cardiopulmonary resuscitation Post-cardiac arrest syndrome Prognosis
dewey-raw	610
isfreeaccess_bool	false
container_title	Journal of critical care
authorswithroles_txt_mv	Kim, Tae Youn @@aut@@ Hwang, Sung Oh @@aut@@ Jung, Woo Jin @@aut@@ Roh, Young Il @@aut@@ Kim, Soyeong @@aut@@ Kim, Hyun @@aut@@ Cha, Kyoung-Chul @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	326646167
dewey-sort	3610
id	ELV00670607X
language_de	englisch
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The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cardiac arrest</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cardiopulmonary resuscitation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Post-cardiac arrest syndrome</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prognosis</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hwang, Sung Oh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jung, Woo Jin</subfield><subfield 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author	Kim, Tae Youn
spellingShingle	Kim, Tae Youn ddc 610 bkl 44.69 misc Cardiac arrest misc Cardiopulmonary resuscitation misc Post-cardiac arrest syndrome misc Prognosis Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients
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topic_title	610 DE-600 44.69 bkl Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients Cardiac arrest Cardiopulmonary resuscitation Post-cardiac arrest syndrome Prognosis
topic	ddc 610 bkl 44.69 misc Cardiac arrest misc Cardiopulmonary resuscitation misc Post-cardiac arrest syndrome misc Prognosis
topic_unstemmed	ddc 610 bkl 44.69 misc Cardiac arrest misc Cardiopulmonary resuscitation misc Post-cardiac arrest syndrome misc Prognosis
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title	Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients
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title_full	Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients
author_sort	Kim, Tae Youn
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author_browse	Kim, Tae Youn Hwang, Sung Oh Jung, Woo Jin Roh, Young Il Kim, Soyeong Kim, Hyun Cha, Kyoung-Chul
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author-letter	Kim, Tae Youn
doi_str_mv	10.1016/j.jcrc.2021.06.003
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author2-role	verfasserin
title_sort	early neuro-prognostication with the patient state index and suppression ratio in post-cardiac arrest patients
title_auth	Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients
abstract	Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients.
abstractGer	Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients.
abstract_unstemmed	Purpose: Cardiopulmonary resuscitation guidelines recommend multimodal neuro-prognostication after cardiac arrest using neurological examination, electroencephalography, biomarkers, and brain imaging. The Patient State Index (PSI) and suppression ratio (SR) represent the depth and degree of sedation, respectively. We evaluated the predictive ability of PSI and SR for neuro-prognostication of post-cardiac arrest patients who underwent targeted temperature management.Methods: This prospective observational study was conducted between January 2017 and August 2020 and enrolled adult patients in an intensive care unit (ICU) with non-traumatic out-of-hospital cardiac arrest with return of spontaneous circulation (ROSC). PSI and SR were monitored continuously during ICU stay, and their maximum, mean, and minimum cutoff values 24 h after ROSC were analyzed to predict poor neurologic outcome and long-term survival.Results: The final analysis included 103 patients. A mean PSI ≤ 14.53 and mean SR > 36.6 showed high diagnostic accuracy as single prognostic factors. Multimodal prediction using the mean PSI and mean SR showed the highest area-under-the-curve value of 0.965 (95% confidence interval 0.909–0.991). Patients with mean PSI ≤ 14.53 and mean SR > 36.6 had relatively higher long-term mortality rates than those of patients with values >14.53 and ≤ 36.6, respectively.Conclusions: The PSI and SR are good predictors for early neuro-prognostication in post-cardiac arrest patients.
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title_short	Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients
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author2	Hwang, Sung Oh Jung, Woo Jin Roh, Young Il Kim, Soyeong Kim, Hyun Cha, Kyoung-Chul
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up_date	2024-07-06T22:17:24.240Z
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Early neuro-prognostication with the Patient State Index and suppression ratio in post-cardiac arrest patients

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