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A score using left ventricular diastolic dysfunction to predict 90-day mortality in acute ischemic stroke: The DONE score

Authors :
Nobutaka Horie
Yoichi Morofuji
Tadashi Kanamoto
Tsuyoshi Izumo
Yohei Tateishi
Akira Tsuneto
Hirokazu Shiraishi
Akira Tsujino
Kenjiro Nakaoka
Shimpei Morimoto
Koji Maemura
Teiichiro Miyazaki
Shunsuke Yoshimura
Source :
Journal of the Neurological Sciences. 398:157-162
Publication Year :
2019
Publisher :
Elsevier B.V., 2019.

Abstract

Purpose: The aim of this study was to identify whether diastolic dysfunction predicts death at 90 days after acute ischemic stroke.Methods: We retrospectively analyzed patients with ischemic stroke. All patients underwent transthoracic echocardiography to evaluate systolic function and diastolic function by means of assessing ejection fraction and septal E/e’.We evaluated the initial National Institute of Health Stroke Scale (NIHSS) score,arterial occlusion, and laboratory data. We used multivariate regression models to identify independent predictors of 90-day mortality. Results: Among 1208 patients, the overall 90-day mortality rate was 8%. In multivariate logistic regression analysis, a higher initial NIHSS score,plasma D-dimer level and E/e’ and occlusion of internal carotid artery or basilar artery were independent predictors of 90-day mortality.The DONE score derived from these valuables showed good discrimination with area under the curve (AUC) value of 0.82 (95% confidence interval [CI],0.78?0.87) to predict 90-day mortality. The DONE score also predicted poor outcome (modified Rankin scale score, 4?6) at 90 days (AUC, 0.82;95% CI 0.80?0.85). Conclusions: Higher E/e’ indicating diastolic dysfunction,may be associated with 90-day mortality in patients with acute ischemic stroke. The DONE score could readily predict poor outcome after acute ischemic stroke.<br />Journal of the Neurological Sciences, 398, pp.157-162; 2019

Details

Language :
English
ISSN :
0022510X
Volume :
398
Database :
OpenAIRE
Journal :
Journal of the Neurological Sciences
Accession number :
edsair.doi.dedup.....b7f35a9a5480c1a29749b713361ec02a