Literature DB >> 24132566

Validation of clinical prediction scores in patients with primary intracerebral hemorrhage.

John S Garrett1, Mehrzad Zarghouni, Kennith F Layton, Dion Graybeal, Yahya A Daoud.   

Abstract

BACKGROUND: Initial reports of the FUNC score suggest that it may accurately identify those patients suffering from intracerebral hemorrhage (ICH) with an ultra low chance of functional neurologic recovery. This study's aim is to validate the FUNC score and determine if it accurately identifies the cohort of patients with an ultra low chance of survival with good neurologic recovery.
METHODS: Retrospective review of 501 consecutive primary ICH patients admitted from the Emergency Department to a large healthcare system. Performance of the FUNC, ICH-GS, and oICH scores was determined by calculating areas under the receiver-operator-characteristic curves. Patients with a predicted 100 % chance of poor neurologic outcome (PNO) (FUNC <4 and ICH-GS >10) scores were evaluated to determine if DNR impacted 90 day survival or rate of survival with a Glasgow Outcome Score of <3.
RESULTS: In 366 cases of primary ICH who presented during the study period, 222(61 %) survived to discharge. Both the FUNC (AUC: 0.873) and ICH-GS (AUC: 0.888) outperformed the oICH (AUC: 0.743) in predicting 90-day mortality (p = <0.001). Of 68 patients with a FUNC score <4, 67 (98.5 %) had PNO at discharge. The presence of DNR was not associated with a significant difference in the rate of PNO at discharge (40/40 = 100 % vs. 27/28 = 96.4 % p = 0.42) or 90-day mortality (40/40 = 100 % vs. 21/28 = 75 %, p = 0.06).
CONCLUSION: The FUNC and ICH-GS appear superior to the oICH in predicting outcome in patients with primary ICH. In addition, the FUNC score appears to accurately identify patients with low chance of functional neurologic recovery at discharge.

Entities:  

Mesh:

Year:  2013        PMID: 24132566     DOI: 10.1007/s12028-013-9926-y

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


  23 in total

1.  Intracerebral haemorrhage.

Authors:  L R Caplan
Journal:  Lancet       Date:  1992-03-14       Impact factor: 79.321

2.  Risk stratification for in-hospital mortality in spontaneous intracerebral haemorrhage: a Classification and Regression Tree analysis.

Authors:  O Takahashi; E F Cook; T Nakamura; J Saito; F Ikawa; T Fukui
Journal:  QJM       Date:  2006-10-09

3.  The increasing incidence of anticoagulant-associated intracerebral hemorrhage.

Authors:  M L Flaherty; B Kissela; D Woo; D Kleindorfer; K Alwell; P Sekar; C J Moomaw; M Haverbusch; J P Broderick
Journal:  Neurology       Date:  2007-01-09       Impact factor: 9.910

4.  Increased risk of death in patients with do-not-resuscitate orders.

Authors:  L B Shepardson; S J Youngner; T Speroff; G E Rosenthal
Journal:  Med Care       Date:  1999-08       Impact factor: 2.983

5.  Do-not-resuscitate orders and predictive models after intracerebral hemorrhage.

Authors:  D B Zahuranec; L B Morgenstern; B N Sánchez; K Resnicow; D B White; J C Hemphill
Journal:  Neurology       Date:  2010-07-07       Impact factor: 9.910

6.  Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American Heart Association/American Stroke Association.

Authors:  Lewis B Morgenstern; J Claude Hemphill; Craig Anderson; Kyra Becker; Joseph P Broderick; E Sander Connolly; Steven M Greenberg; James N Huang; R Loch MacDonald; Steven R Messé; Pamela H Mitchell; Magdy Selim; Rafael J Tamargo
Journal:  Stroke       Date:  2010-07-22       Impact factor: 7.914

Review 7.  Clinical grading scales in intracerebral hemorrhage.

Authors:  Brian Y Hwang; Geoffrey Appelboom; Christopher P Kellner; Amanda M Carpenter; Michael A Kellner; Paul R Gigante; E Sander Connolly
Journal:  Neurocrit Care       Date:  2010-08       Impact factor: 3.210

Review 8.  Intracerebral hemorrhage: getting ready for effective treatments.

Authors:  Fred Rincon; Stephan A Mayer
Journal:  Curr Opin Neurol       Date:  2010-02       Impact factor: 5.710

9.  Risk stratification for predicting 30-day mortality of intracerebral hemorrhage.

Authors:  Ya-Ching Chuang; Yung-Ming Chen; Shih-Kuei Peng; Shih-Yen Peng
Journal:  Int J Qual Health Care       Date:  2009-10-14       Impact factor: 2.038

10.  Use of the original, modified, or new intracerebral hemorrhage score to predict mortality and morbidity after intracerebral hemorrhage.

Authors:  Raymond Tak Fai Cheung; Liang-Yu Zou
Journal:  Stroke       Date:  2003-06-12       Impact factor: 7.914

View more
  9 in total

1.  Prehospital stroke scales as screening tools for early identification of stroke and transient ischemic attack.

Authors:  Zhivko Zhelev; Greg Walker; Nicholas Henschke; Jonathan Fridhandler; Samuel Yip
Journal:  Cochrane Database Syst Rev       Date:  2019-04-09

Review 2.  Scoping Review and Commentary on Prognostication for Patients with Intracerebral Hemorrhage with Advances in Surgical Techniques.

Authors:  Stephanie Zyck; Lydia Du; Grahame Gould; Julius Gene Latorre; Timothy Beutler; Alexa Bodman; Satish Krishnamurthy
Journal:  Neurocrit Care       Date:  2020-08       Impact factor: 3.210

3.  Assessment and Comparison of the Four Most Extensively Validated Prognostic Scales for Intracerebral Hemorrhage: Systematic Review with Meta-analysis.

Authors:  Tiago Gregório; Sara Pipa; Pedro Cavaleiro; Gabriel Atanásio; Inês Albuquerque; Paulo Castro Chaves; Luís Azevedo
Journal:  Neurocrit Care       Date:  2019-04       Impact factor: 3.210

4.  Clinician judgment vs formal scales for predicting intracerebral hemorrhage outcomes.

Authors:  David Y Hwang; Cameron A Dell; Mary J Sparks; Tiffany D Watson; Carl D Langefeld; Mary E Comeau; Jonathan Rosand; Thomas W K Battey; Sebastian Koch; Mario L Perez; Michael L James; Jessica McFarlin; Jennifer L Osborne; Daniel Woo; Steven J Kittner; Kevin N Sheth
Journal:  Neurology       Date:  2015-12-16       Impact factor: 9.910

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

Authors:  Katja E Wartenberg; David Y Hwang; Karl Georg Haeusler; Susanne Muehlschlegel; Oliver W Sakowitz; Dominik Madžar; Hajo M Hamer; Alejandro A Rabinstein; David M Greer; J Claude Hemphill; Juergen Meixensberger; Panayiotis N Varelas
Journal:  Neurocrit Care       Date:  2019-10       Impact factor: 3.210

6.  Prognostic value of elevated cardiac troponin I in patients with intracerebral hemorrhage.

Authors:  Yangchun He; Qigong Liu; Jing Wang; Dao Wen Wang; Hu Ding; Wei Wang
Journal:  Clin Cardiol       Date:  2019-12-18       Impact factor: 2.882

7.  Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning.

Authors:  Xinghua Xu; Jiashu Zhang; Kai Yang; Qun Wang; Xiaolei Chen; Bainan Xu
Journal:  Brain Behav       Date:  2021-02-24       Impact factor: 2.708

8.  Prognostic Tools for Early Mortality in Hemorrhagic Stroke: Systematic Review and Meta-Analysis.

Authors:  Katharina Mattishent; Chun Shing Kwok; Liban Ashkir; Kelum Pelpola; Phyo Kyaw Myint; Yoon Kong Loke
Journal:  J Clin Neurol       Date:  2015-08-06       Impact factor: 3.077

9.  Prognostic models for intracerebral hemorrhage: systematic review and meta-analysis.

Authors:  Tiago Gregório; Sara Pipa; Pedro Cavaleiro; Gabriel Atanásio; Inês Albuquerque; Paulo Castro Chaves; Luís Azevedo
Journal:  BMC Med Res Methodol       Date:  2018-11-20       Impact factor: 4.615

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.