Evaluation of IScore validity in a Greek cohort of patients with type 2 diabetes
| Autor: | Konstantinos Krikonis, Konstantinos N. Tzirogiannis, Kalliopi T Kourentzi, Vasileios Dragoumanos, Nikolaos Melas, Georgios I Panoutsopoulos, Evangelos Fousteris, Maria Vourvou, Andreas Melidonis, Georgios Elesnitsalis |
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| Jazyk: | angličtina |
| Předmět: |
Ischemic stroke mortality
Male medicine.medical_specialty Population Clinical Neurology Type 2 diabetes Severity of Illness Index Statistics Nonparametric Cohort Studies Diabetes mellitus Internal medicine medicine Humans Risk factor education Prospective cohort study Stroke Aged Aged 80 and over education.field_of_study Ischemic stroke Greece business.industry Mortality rate Diabetes Age Factors General Medicine Middle Aged medicine.disease Diabetes Mellitus Type 2 ROC Curve Physical therapy Female Neurology (clinical) IScore business Cohort study Research Article |
| Zdroj: | BMC Neurology |
| ISSN: | 1471-2377 |
| DOI: | 10.1186/1471-2377-13-121 |
| Popis: | Background Diabetes constitutes a risk factor for stroke that also aggravates stroke prognosis. Several prognostic models have been developed for the evaluation of neurologic status, severity, short-term functional outcome and mortality of stroke patients. IScore is a novel tool recently developed in order to predict mortality rates within 30 days and 1 year after ischemic stroke and diabetes is not included in the scoring scale of IScore. The aim of the present study was to evaluate and compare IScore validity in ischemic stroke patients with and without diabetes. Methods This prospective study included 312 consecutive Caucasian patients with type 2 diabetes and 222 Caucasian patients without diabetes admitted for ischemic stroke in a tertiary Greek hospital. Thirty-day and 1-year IScores were individually calculated for each patient and actual mortality was monitored at the same time intervals. IScore’s predictive ability and calibration was evaluated and compared for ischemic stroke patients with and without diabetes. The performance of IScore for predicting 30 and 1-year mortality between patients with and without diabetes was assessed by determining the calibration and discrimination of the score. The area under the receiver operating characteristic curve was used to evaluate the discriminative ability of IScore for patients with and without diabetes, whereas the calibration of IScore was assessed by the Hosmer–Lemeshow goodness-of fit statistic. Results Baseline population characteristics and mortality rates did not differ significantly for both cohorts. IScore values were significantly higher for patients with diabetes at 30 days and 1 year after ischemic stroke and patients with diabetes presented more frequently with lacunar strokes. Based on ROC curves analysis IScore’s predictive ability for 30 day mortality was excellent, without statistically significant difference, for both cohorts. Predictive ability for 1 year mortality was also excellent for both groups with significantly better ability for patients with diabetes especially at high score values. Calibration of the model was good for both groups of patients. Conclusions IScore accurately predicts mortality in acute ischemic stroke Caucasian patients with and without diabetes with higher efficacy in predicting 1 year mortality in patients with diabetes especially with high scores. |
| Databáze: | OpenAIRE |
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