TY - JOUR
T1 - Neurological prognostication of outcome in patients in coma after cardiac arrest
AU - Rossetti, Andrea O.
AU - Rabinstein, Alejandro A.
AU - Oddo, Mauro
N1 - Funding Information:
The Swiss National Science Foundation provides financial support to AOR (CR3213_143780) and MO (32003B_155957) for research into coma prognosis. Jessica Scheurer (Service d'appui multimédia, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland) helped prepare figure 5 .
Publisher Copyright:
© 2016 Elsevier Ltd.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - Management of coma after cardiac arrest has improved during the past decade, allowing an increasing proportion of patients to survive, thus prognostication has become an integral part of post-resuscitation care. Neurologists are increasingly confronted with raised expectations of next of kin and the necessity to provide early predictions of long-term prognosis. During the past decade, as technology and clinical evidence have evolved, post-cardiac arrest prognostication has moved towards a multimodal paradigm combining clinical examination with additional methods, consisting of electrophysiology, blood biomarkers, and brain imaging, to optimise prognostic accuracy. Prognostication should never be based on a single indicator, although some variables have very low false positive rates for poor outcome, multimodal assessment provides resassurance about the reliability of a prognostic estimate by offering concordant evidence.
AB - Management of coma after cardiac arrest has improved during the past decade, allowing an increasing proportion of patients to survive, thus prognostication has become an integral part of post-resuscitation care. Neurologists are increasingly confronted with raised expectations of next of kin and the necessity to provide early predictions of long-term prognosis. During the past decade, as technology and clinical evidence have evolved, post-cardiac arrest prognostication has moved towards a multimodal paradigm combining clinical examination with additional methods, consisting of electrophysiology, blood biomarkers, and brain imaging, to optimise prognostic accuracy. Prognostication should never be based on a single indicator, although some variables have very low false positive rates for poor outcome, multimodal assessment provides resassurance about the reliability of a prognostic estimate by offering concordant evidence.
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U2 - 10.1016/S1474-4422(16)00015-6
DO - 10.1016/S1474-4422(16)00015-6
M3 - Review article
C2 - 27017468
AN - SCOPUS:84962846991
SN - 1474-4422
VL - 15
SP - 597
EP - 609
JO - The Lancet Neurology
JF - The Lancet Neurology
IS - 6
ER -