Literature DB >> 32656712

DAPT score: predictive model of dual-antiplatelet therapy for acute cerebral infarction.

Yang Liu1,2, Jia Yang1,2, Panpan Jiang1,2, Shan Wang3, Mingming Wang2, Mayan Wang1,2, Tiankang Guo4, Jianxiong Liu5.   

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.

Entities:  

Keywords:  Acute cerebral infarction; Dual antiplatelet therapy; Scale

Mesh:

Substances:

Year:  2020        PMID: 32656712     DOI: 10.1007/s10072-020-04552-w

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


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