Literature DB >> 26578661

Derivation and Validation of a Novel Prognostic Scale (Modified-Stroke Subtype, Oxfordshire Community Stroke Project Classification, Age, and Prestroke Modified Rankin) to Predict Early Mortality in Acute Stroke.

Azmil H Abdul-Rahim1, Terence J Quinn2, Sarah Alder2, Allan B Clark2, Stanley D Musgrave2, Peter Langhorne2, John F Potter2, Phyo Kyaw Myint2.   

Abstract

BACKGROUND AND
PURPOSE: The stroke subtype, Oxfordshire Community Stroke Project classification, age, and prestroke modified Rankin (SOAR) score is a prognostic scale proposed for early mortality prediction after acute stroke. We aimed to evaluate whether including a measure of initial stroke severity (National Institutes of Health Stroke Scale and modified-SOAR [mSOAR] scores) would improve the prognostic accuracy.
METHODS: Using Anglia Stroke and Heart Clinical Network data, 2008 to 2011, we assessed the performance of SOAR and mSOAR against in-hospital mortality using area under the receiver operating curve statistics. We externally validated the prognostic utility of SOAR and mSOAR using an independent cohort data set from Glasgow. We described calibration using Hosmer-Lemeshow goodness-of-fit test.
RESULTS: A total of 1002 patients were included in the derivation cohort, and 105 (10.5%) died as inpatients. The area under the receiver operating curves for outcome of early mortality derived from the SOAR and mSOAR scores were 0.79 (95% confidence interval, 0.75-0.84) and 0.83 (95% confidence interval, 0.79-0.86), respectively (P=0.001). The external validation data set contained 1012 patients with stroke; of which, 121 (12.0%) patients died within 90 days. The mSOAR scores identified the risk of early mortality ranging from 3% to 42%. External validation of mSOAR score yielded an area under the receiver operating curve of 0.84 (95% confidence interval, 0.82-0.88) for outcome of early mortality. Calibration was good (P=0.70 for the Hosmer-Lemeshow test).
CONCLUSIONS: Adding National Institutes of Health Stroke Scale data to create a modified-SOAR score improved prognostic utility in both derivation and validation data sets. The mSOAR may have clinical utility by using easily available data to predict mortality.
© 2015 American Heart Association, Inc.

Entities:  

Keywords:  calibration; inpatients; mortality; prognosis; stroke

Mesh:

Year:  2015        PMID: 26578661     DOI: 10.1161/STROKEAHA.115.009898

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  8 in total

1.  mSOAR: an effective bedside stroke prognosis tool.

Authors:  Mark Thaller; Nicholas Mitchell
Journal:  Clin Med (Lond)       Date:  2017-06       Impact factor: 2.659

2.  GISCOME - Genetics of Ischaemic Stroke Functional Outcome network: A protocol for an international multicentre genetic association study.

Authors:  Jane M Maguire; Steve Bevan; Tara M Stanne; Erik Lorenzen; Israel Fernandez-Cadenas; Graeme J Hankey; Jordi Jimenez-Conde; Katarina Jood; Jin-Moo Lee; Robin Lemmens; Christopher Levi; Bo Norrving; Kristiina Rannikmae; Natalia Rost; Jonathan Rosand; Peter M Rothwell; Rodney Scott; Daniel Strbian; Jonathan Sturm; Cathie Sudlow; Matthew Traylor; Vincent Thijs; Turgut Tatlisumak; Tadeusz Wieloch; Daniel Woo; Bradford B Worrall; Christina Jern; Arne Lindgren
Journal:  Eur Stroke J       Date:  2017-04-19

3.  External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China.

Authors:  Ping Yu; Yuesong Pan; Yongjun Wang; Xianwei Wang; Liping Liu; Ruijun Ji; Xia Meng; Jing Jing; Xu Tong; Li Guo; Yilong Wang
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

4.  Validation of the mSOAR and SOAR scores to predict early mortality in Chinese acute stroke patients.

Authors:  Hui Wang; Yuesong Pan; Xia Meng; Chunjuan Wang; Xiaoling Liao; David Wang; Xingquan Zhao; Liping Liu; Hao Li; Yilong Wang; Yongjun Wang
Journal:  PLoS One       Date:  2017-07-06       Impact factor: 3.240

5.  Pre-Stroke Modified Rankin Scale: Evaluation of Validity, Prognostic Accuracy, and Association with Treatment.

Authors:  Terence J Quinn; Martin Taylor-Rowan; Aishah Coyte; Allan B Clark; Stanley D Musgrave; Anthony K Metcalf; Diana J Day; Max O Bachmann; Elizabeth A Warburton; John F Potter; Phyo Kyaw Myint
Journal:  Front Neurol       Date:  2017-06-13       Impact factor: 4.003

6.  Impact of acute-phase complications and interventions on 6-month survival after stroke. A prospective observational study.

Authors:  Antonio Di Carlo; Maria Lamassa; Marco Franceschini; Francesca Bovis; Lorenzo Cecconi; Sanaz Pournajaf; Stefano Paravati; Annibale Biggeri; Domenico Inzitari; Salvatore Ferro
Journal:  PLoS One       Date:  2018-03-23       Impact factor: 3.240

7.  Long-Term Consequences of Worsened Poststroke Status in Patients With Premorbid Disability.

Authors:  Aravind Ganesh; Ramon Luengo-Fernandez; Sarah T Pendlebury; Peter M Rothwell
Journal:  Stroke       Date:  2018-10       Impact factor: 7.914

8.  Shock Index Predicts Patient-Related Clinical Outcomes in Stroke.

Authors:  Phyo Kyaw Myint; Shubin Sheng; Ying Xian; Roland A Matsouaka; Mathew J Reeves; Jeffrey L Saver; Deepak L Bhatt; Gregg C Fonarow; Lee H Schwamm; Eric E Smith
Journal:  J Am Heart Assoc       Date:  2018-09-18       Impact factor: 5.501

  8 in total

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