Literature DB >> 28744847

Factors Considered by Clinicians when Prognosticating Intracerebral Hemorrhage Outcomes.

David Y Hwang1, Stacy Y Chu2, Cameron A Dell3, Mary J Sparks3, Tiffany D Watson3, Carl D Langefeld4, Mary E Comeau4, Jonathan Rosand5, Thomas W K Battey5, Sebastian Koch6, Mario L Perez6, Michael L James7, Jessica McFarlin7, Jennifer L Osborne8, Daniel Woo8, Steven J Kittner9, Kevin N Sheth10.   

Abstract

BACKGROUND: The early subjective clinical judgment of clinicians outperforms formal prognostic scales for accurate determination of outcome after intracerebral hemorrhage (ICH), with the judgment of physicians and nurses having equivalent accuracy. This study assessed specific decisional factors that physicians and nurses incorporate into early predictions of functional outcome.
METHODS: This prospective observational study enrolled 121 ICH patients at five US centers. Within 24 h of each patient's admission, one physician and one nurse on the clinical team were each surveyed to predict the patient's modified Rankin Scale (mRS) at 3 months and to list up to 10 subjective factors used in prognostication. Factors were coded and compared between (1) physician and nurse and (2) accurate and inaccurate surveys, with accuracy defined as an exact prediction of mRS.
RESULTS: Aside from factors that are components of the ICH or FUNC scores, surveys reported pre-existing comorbidities (40.0%), other clinical or radiographic factors not in clinical scales (43.0%), and non-clinical/radiographic factors (21.9%) as important. Compared to physicians, nurses more frequently listed neurologic examination components (Glasgow Coma Scale motor, 27.3 vs. 5.8%, p < 0.0001; GCS verbal, 12.4 vs. 0.0%, p < 0.0001) and non-clinical/radiographic factors (31.4 vs. 12.4%, p = 0.0005). Physicians more frequently listed neuroimaging factors (ICH location, 33.9 vs. 7.4%, p < 0.0001; intraventricular hemorrhage, 13.2 vs. 2.5%, p = 0.003). There was no difference in listed factors between accurate versus inaccurate surveys.
CONCLUSIONS: Clinicians frequently utilize factors outside of the components of clinical scales for prognostication, with physician and nurses focusing on different factors despite having similar accuracy.

Entities:  

Keywords:  Cohort studies; Critical care; Intracerebral hemorrhage; Outcome research; Prognosis

Mesh:

Year:  2017        PMID: 28744847     DOI: 10.1007/s12028-017-0430-7

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.210


  26 in total

1.  Variability in physician prognosis and recommendations after intracerebral hemorrhage.

Authors:  Darin B Zahuranec; Angela Fagerlin; Brisa N Sánchez; Meghan E Roney; Bradford B Thompson; Andrea Fuhrel-Forbis; Lewis B Morgenstern
Journal:  Neurology       Date:  2016-04-15       Impact factor: 9.910

2.  Early mortality following spontaneous intracerebral hemorrhage.

Authors:  J A Zurasky; V Aiyagari; A R Zazulia; A Shackelford; M N Diringer
Journal:  Neurology       Date:  2005-02-22       Impact factor: 9.910

3.  Guidelines for the Management of Spontaneous Intracerebral Hemorrhage: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association.

Authors:  J Claude Hemphill; Steven M Greenberg; Craig S Anderson; Kyra Becker; Bernard R Bendok; Mary Cushman; Gordon L Fung; Joshua N Goldstein; R Loch Macdonald; Pamela H Mitchell; Phillip A Scott; Magdy H Selim; Daniel Woo
Journal:  Stroke       Date:  2015-05-28       Impact factor: 7.914

4.  Factors associated with withdrawal of mechanical ventilation in a neurology/neurosurgery intensive care unit.

Authors:  M N Diringer; D F Edwards; V Aiyagari; H Hollingsworth
Journal:  Crit Care Med       Date:  2001-09       Impact factor: 7.598

5.  Estimating and communicating prognosis in advanced neurologic disease.

Authors:  Robert G Holloway; Robert Gramling; Adam G Kelly
Journal:  Neurology       Date:  2013-02-19       Impact factor: 9.910

Review 6.  Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis.

Authors:  Charlotte Jj van Asch; Merel Ja Luitse; Gabriël Je Rinkel; Ingeborg van der Tweel; Ale Algra; Catharina Jm Klijn
Journal:  Lancet Neurol       Date:  2010-01-05       Impact factor: 44.182

7.  Withdrawal of Life-Sustaining Therapy in Patients With Intracranial Hemorrhage: Self-Fulfilling Prophecy or Accurate Prediction of Outcome?

Authors:  Jonathan M Weimer; Amy S Nowacki; Jennifer A Frontera
Journal:  Crit Care Med       Date:  2016-06       Impact factor: 7.598

8.  Predicting Outcome for Intracerebral Hemorrhage Patients: Current Tools and Their Limitations.

Authors:  Stacy Y Chu; David Y Hwang
Journal:  Semin Neurol       Date:  2016-05-23       Impact factor: 3.420

9.  Prospective validation of the ICH Score for 12-month functional outcome.

Authors:  J Claude Hemphill; Mary Farrant; Terry A Neill
Journal:  Neurology       Date:  2009-09-02       Impact factor: 9.910

10.  Reversal strategies for vitamin K antagonists in acute intracerebral hemorrhage.

Authors:  Adrian R Parry-Jones; Mario Di Napoli; Joshua N Goldstein; Floris H B M Schreuder; Sami Tetri; Turgut Tatlisumak; Bernard Yan; Koen M van Nieuwenhuizen; Nelly Dequatre-Ponchelle; Matthew Lee-Archer; Solveig Horstmann; Duncan Wilson; Fulvio Pomero; Luca Masotti; Christine Lerpiniere; Daniel Agustin Godoy; Abigail S Cohen; Rik Houben; Rustam Al-Shahi Salman; Paolo Pennati; Luigi Fenoglio; David Werring; Roland Veltkamp; Edith Wood; Helen M Dewey; Charlotte Cordonnier; Catharina J M Klijn; Fabrizio Meligeni; Stephen M Davis; Juha Huhtakangas; Julie Staals; Jonathan Rosand; Atte Meretoja
Journal:  Ann Neurol       Date:  2015-05-14       Impact factor: 10.422

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  3 in total

1.  Assessment and comparison of the max-ICH score and ICH score by external validation.

Authors:  Felix A Schmidt; Eric M Liotta; Shyam Prabhakaran; Andrew M Naidech; Matthew B Maas
Journal:  Neurology       Date:  2018-08-01       Impact factor: 9.910

2.  Clinical Profile and Predictors of Outcome in Spontaneous Intracerebral Hemorrhage from a Tertiary Care Centre in South India.

Authors:  Ajay Hegde; Girish Menon; Vinod Kumar; G Lakshmi Prasad; Lakshman I Kongwad; Rajesh Nair; Raghavendra Nayak
Journal:  Stroke Res Treat       Date:  2020-01-27

3.  Predicting long-term outcomes in acute intracerebral haemorrhage using delayed prognostication scores.

Authors:  Ronda Lun; Vignan Yogendrakumar; Tim Ramsay; Michel Shamy; Robert Fahed; Magdy H Selim; Dar Dowlatshahi
Journal:  Stroke Vasc Neurol       Date:  2021-03-23
  3 in total

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