TY - JOUR
T1 - Gap Analysis Regarding Prognostication in Neurocritical Care
T2 - A Joint Statement from the German Neurocritical Care Society and the Neurocritical Care Society
AU - Wartenberg, Katja E.
AU - Hwang, David Y.
AU - Haeusler, Karl Georg
AU - Muehlschlegel, Susanne
AU - Sakowitz, Oliver W.
AU - Madžar, Dominik
AU - Hamer, Hajo M.
AU - Rabinstein, Alejandro A.
AU - Greer, David M.
AU - Hemphill, J. Claude
AU - Meixensberger, Juergen
AU - Varelas, Panayiotis N.
N1 - Funding Information:
Susanne Muehlschlegel received Grant support from National Institutes of Health/National Institute of Child Health and Human Development (NIH/NICHD) Grant 5K23HD080971, UMass Memorial Medical Group (Prize for Academic Collaboration and Excellence (PACE Prize) and DARPA (HR001117S0032-WASH-FP-031). David Greer received Grant support from National Institutes of Health/National Institute of Neurological Disorders and Stroke (NIH/NINDS) Grant (R01 NS102574-01A1).
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Background/Objective: Prognostication is a routine part of the delivery of neurocritical care for most patients with acute neurocritical illnesses. Numerous prognostic models exist for many different conditions. However, there are concerns about significant gaps in knowledge regarding optimal methods of prognostication. Methods: As part of the Arbeitstagung NeuroIntensivMedizin meeting in February 2018 in Würzburg, Germany, a joint session on prognostication was held between the German NeuroIntensive Care Society and the Neurocritical Care Society. The purpose of this session was to provide presentations and open discussion regarding existing prognostic models for eight common neurocritical care conditions (aneurysmal subarachnoid hemorrhage, intracerebral hemorrhage, acute ischemic stroke, traumatic brain injury, traumatic spinal cord injury, status epilepticus, Guillain–Barré Syndrome, and global cerebral ischemia from cardiac arrest). The goal was to develop a qualitative gap analysis regarding prognostication that could help inform a future framework for clinical studies and guidelines. Results: Prognostic models exist for all of the conditions presented. However, there are significant gaps in prognostication in each condition. Furthermore, several themes emerged that crossed across several or all diseases presented. Specifically, the self-fulfilling prophecy, lack of accounting for medical comorbidities, and absence of integration of in-hospital care parameters were identified as major gaps in most prognostic models. Conclusions: Prognostication in neurocritical care is important, and current prognostic models are limited. This gap analysis provides a summary assessment of issues that could be addressed in future studies and evidence-based guidelines in order to improve the process of prognostication.
AB - Background/Objective: Prognostication is a routine part of the delivery of neurocritical care for most patients with acute neurocritical illnesses. Numerous prognostic models exist for many different conditions. However, there are concerns about significant gaps in knowledge regarding optimal methods of prognostication. Methods: As part of the Arbeitstagung NeuroIntensivMedizin meeting in February 2018 in Würzburg, Germany, a joint session on prognostication was held between the German NeuroIntensive Care Society and the Neurocritical Care Society. The purpose of this session was to provide presentations and open discussion regarding existing prognostic models for eight common neurocritical care conditions (aneurysmal subarachnoid hemorrhage, intracerebral hemorrhage, acute ischemic stroke, traumatic brain injury, traumatic spinal cord injury, status epilepticus, Guillain–Barré Syndrome, and global cerebral ischemia from cardiac arrest). The goal was to develop a qualitative gap analysis regarding prognostication that could help inform a future framework for clinical studies and guidelines. Results: Prognostic models exist for all of the conditions presented. However, there are significant gaps in prognostication in each condition. Furthermore, several themes emerged that crossed across several or all diseases presented. Specifically, the self-fulfilling prophecy, lack of accounting for medical comorbidities, and absence of integration of in-hospital care parameters were identified as major gaps in most prognostic models. Conclusions: Prognostication in neurocritical care is important, and current prognostic models are limited. This gap analysis provides a summary assessment of issues that could be addressed in future studies and evidence-based guidelines in order to improve the process of prognostication.
KW - Comorbidities
KW - Outcome predictors
KW - Prognostication
KW - Self-fulfilling prophecy
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U2 - 10.1007/s12028-019-00769-6
DO - 10.1007/s12028-019-00769-6
M3 - Article
C2 - 31368059
AN - SCOPUS:85070056352
SN - 1541-6933
VL - 31
SP - 231
EP - 244
JO - Neurocritical Care
JF - Neurocritical Care
IS - 2
ER -