Back to Search
Start Over
DAPT score: predictive model of dual-antiplatelet therapy for acute cerebral infarction.
- Source :
-
Neurological Sciences . 2021, Vol. 42 Issue 2, p681-688. 8p. 6 Charts, 1 Graph. - Publication Year :
- 2021
-
Abstract
- Objective: This article analyzes factors which affect the prognosis of acute cerebral infarction (ACI) patients receiving a course of antiplatelet therapy with aspirin and (or) clopidogrel for 14 days and proposes a simple grading scale to predict the clinical effectiveness of these drugs. Methods: We evaluated the association between ACI and risk factor (univariate analysis) on at day 14 post admission. Factors which potentially affected the 14-day prognosis of the patients were identified by logistic regression. A clinical grading scale, the DAPT score, was developed by weighing the independent predictors based on these factors. Results: It is revealed that the factors which affected 14 days prognosis univariate analysis included age ≥ 50 years (P = 0.007), diabetes (P = 0.017), hypertension (P ≤ 0.001), hyperhomocysteinemia (P = 0.001), and ipsilateral carotid artery stenosis ≥ 50% (P = 0.019). Logistic regression also revealed that the factors which affected 14 days prognosis included age ≥ 50 years (P = 0.007), hypertension (P ≤ 0.001), hyperhomocysteinemia (P = 0.001), and ipsilateral carotid artery stenosis ≥ 50% (P = 0.014).The assigned values of age ≥ 50 years, Grade 1 hypertension, Grade 2 hypertension, Grade 3 hypertension, hyperhomocysteinemia, and ipsilateral carotid artery stenosis ≥ 50% were 1, 1, 2, 3, 1, and 1, respectively. We named this score (DAPT score) and it ranged between 0 and 6. Using 3 as a cutoff, the sensitivity was 90.6% and the specificity was 63.3%. Conclusions: The DAPT Score might be useful to for identifying with ACI who are suitable to receive aspirin combined with clopidogrel. Future large-scale, multi-center prospective studies are necessary. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15901874
- Volume :
- 42
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Neurological Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 148361319
- Full Text :
- https://doi.org/10.1007/s10072-020-04552-w