Qing-Shan Lyu1, Bin Liu1, Cheng Huang2, Yu-Qing Huang3. 1. Department of Cardiology, the Central hospital of Yongzhou, Yongzhou, Hunan, China. 2. Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Hypertension Research Laboratory, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China. 3. Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Hypertension Research Laboratory, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China hyq513@126.com.
Abstract
AIMS: To explore the association between platelet distribution width (PDW) and stroke in atrial fibrillation (AF) patients. METHODS: This study included 150 AF patients who were divided into stroke and non-stroke groups. Multivariate logistic regression analysis and area under the receiver operating characteristic curve were performed. RESULTS: Among the 150 patients, 50 and 100 were grouped into the stroke and non-stroke groups, respectively. There were significant differences in systolic blood pressure, total cholesterol, C-reactive protein, and PDW between the groups (P<0.05). Multiple logistic regression analysis showed that PDW (OR: 1.56, P=0.002) was a risk factor for stroke. CONCLUSIONS: PDW was an important risk factor for stroke in AF patients, suggesting it has the potential to be a new biomarker for predicting stroke.
AIMS: To explore the association between platelet distribution width (PDW) and stroke in atrial fibrillation (AF) patients. METHODS: This study included 150 AFpatients who were divided into stroke and non-stroke groups. Multivariate logistic regression analysis and area under the receiver operating characteristic curve were performed. RESULTS: Among the 150 patients, 50 and 100 were grouped into the stroke and non-stroke groups, respectively. There were significant differences in systolic blood pressure, total cholesterol, C-reactive protein, and PDW between the groups (P<0.05). Multiple logistic regression analysis showed that PDW (OR: 1.56, P=0.002) was a risk factor for stroke. CONCLUSIONS: PDW was an important risk factor for stroke in AFpatients, suggesting it has the potential to be a new biomarker for predicting stroke.