4.4 Article

Gap Analysis Regarding Prognostication in Neurocritical Care: A Joint Statement from the German Neurocritical Care Society and the Neurocritical Care Society

Journal

NEUROCRITICAL CARE
Volume 31, Issue 2, Pages 231-244

Publisher

HUMANA PRESS INC
DOI: 10.1007/s12028-019-00769-6

Keywords

Prognostication; Self-fulfilling prophecy; Outcome predictors; Comorbidities

Funding

  1. National Institutes of Health/National Institute of Child Health and Human Development (NIH/NICHD) [5K23HD080971]
  2. UMass Memorial Medical Group (Prize for Academic Collaboration and Excellence (PACE Prize))
  3. DARPA [HR001117S0032WASH-FP-031]
  4. National Institutes of Health/National Institute of Neurological Disorders and Stroke (NIH/NINDS) [R01 NS102574-01A1]

Ask authors/readers for more resources

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 Wurzburg, 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-Barre 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available