scispace - formally typeset
Open AccessJournal ArticleDOI

Stroke Severity Is a Crucial Predictor of Outcome: An International Prospective Validation Study

Reads0
Chats0
TLDR
In this prospective pilot study, the baseline NIHSS score was essential for prediction of acute ischemic stroke outcomes, followed by age; whereas traditional comorbidity index contributed little to the overall model.
Abstract
Background Stroke is among the leading causes of morbidity and mortality worldwide. Without reliable prediction models and outcome measurements, comparison of care systems is impossible. We analyzed prospectively collected data from 4 countries to explore the importance of stroke severity in outcome prediction. Methods and Results For 2 months, all acute ischemic stroke patients from the hospitals participating in the Global Comparators Stroke GOAL (Global Outcomes Accelerated Learning) collaboration received a National Institutes of Health Stroke Scale (NIHSS) score on admission and a modified Rankin Scale score at 30 and 90 days. These data were added to the administrative data set, and risk prediction models including age, sex, comorbidity index, and NIHSS were derived for in‐hospital death within 7 days, all in‐hospital death, and death and good outcome at 30 and 90 days. The relative importance of each variable was assessed using the proportion of explained variation. Of 1034 admissions for acute ischemic stroke, 614 had a full set of NIHSS and both modified Rankin Scale values recorded; of these, 507 patients could be linked to administrative data. The marginal proportion of explained variation was 0.7% to 4.0% for comorbidity index, and 11.3 to 25.0 for NIHSS score. The percentage explained by the model varied by outcome (16.6–29.1%) and was highest for good outcome at 30 and 90 days. There was high agreement between 30‐ and 90‐day modified Rankin Scale scores (weighted κ=0.82). Conclusions In this prospective pilot study, the baseline NIHSS score was essential for prediction of acute ischemic stroke outcomes, followed by age; whereas traditional comorbidity index contributed little to the overall model. Future studies of stroke outcomes between different care systems will benefit from including a baseline NIHSS score.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Prediction of Outcome in Patients With Acute Ischemic Stroke Based on Initial Severity and Improvement in the First 24 h.

TL;DR: In this cohort, the prediction of GFO was improved by adding change in stroke severity after 24 h to the model, and B-NIHSS is a predictor of stroke outcome.
Journal ArticleDOI

Validity of a stroke severity index for administrative claims data research: a retrospective cohort study

TL;DR: The SSI correlated with functional outcomes after AIS and improved the case-mix adjustment of mortality models and can act as a valid proxy for stroke severity in claims data-based studies.
Journal ArticleDOI

Social networks and neurological illness.

TL;DR: An agenda for research and clinical practice is proposed that includes mapping the networks of patients with diverse neurological disorders, evaluating the impact of the networks on patient outcomes, and testing network interventions.
Journal ArticleDOI

Biological Age is a predictor of mortality in Ischemic Stroke.

TL;DR: As estimated by DNA methylation, biological age is an independent predictor of 3-month mortality in ischemic stroke regardless of chronological age, NIHSS, previous modified Rankin scale, and vascular risk factors.
References
More filters
Book

Applied Logistic Regression

TL;DR: Hosmer and Lemeshow as discussed by the authors provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets.
Journal ArticleDOI

Applied Logistic Regression.

TL;DR: Applied Logistic Regression, Third Edition provides an easily accessible introduction to the logistic regression model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables.
Journal ArticleDOI

Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.

TL;DR: The Kw provides for the incorpation of ratio-scaled degrees of disagreement (or agreement) to each of the cells of the k * k table of joi.
Related Papers (5)
Trending Questions (2)
What is the relationship between stroke severity and stroke recovery?

The paper states that stroke severity is an essential predictor of post-stroke outcomes, indicating that there is a relationship between stroke severity and stroke recovery.

Is there a relationship between the outcome destination of stroke patients and the severity of GNRI?

The study did not analyze the relationship between the outcome destination of stroke patients and the severity of GNRI.