Extreme negative white coat effect (0-2.4th percentile) was associated with increased stroke risk compared to the 2.5-97.5th percentile (adjusted OR 3.12; 95% CI 1.22-7.96; p=0.017).
Observational (n=2,972)
Effect estimate: OR 3.12 (95% CI 1.22-7.96)
p-value: p=0.017
Blood pressure variability (BPV) has been identified as an important risk factor for cardiovascular events. The white coat effect (WCE), which is measured as the first systolic blood pressure (SBP) measurement minus the mean of the second and third measurements, is a BPV indicator within a single visit. In total, 2,972 participants who had three measurements of BP within a single visit were included. The participants were divided into three groups based on their WCE percentiles: Group 1 (WCE2.5-97.5, 2.5–97.5th percentiles of WCE), Group 2 (WCE2.5, 0–2.4th percentiles of WCE), and Group 3 (WCE97.5, 97.6–100th percentiles of WCE). A multiple logistic regression model was used to analyze the relationship between WCE and stroke after adjusting for cardiovascular disease risk factors. Compared with the WCE2.5-97.5 group, the OR for stroke in the WCE2.5 group was 2.78 (95% CI: 1.22, 6.36, p = 0.015 ). After adjusting for cardiovascular factors, OR increased to 3.12 (95% CI: 1.22, 7.96, p = 0.017 ). The OR of WCE for stroke was 0.93 (95%CI: 0.87, 0.99, p = 0.036 ). BPV within a single visit is associated with stroke. The value and direction of the change may be important as well.
Ma et al. (Tue,) conducted a observational in Stroke (n=2,972). White coat effect (WCE) 0-2.4th percentile vs. WCE 2.5-97.5th percentile was evaluated on Stroke (OR 3.12, 95% CI 1.22-7.96, p=0.017). Extreme negative white coat effect (0-2.4th percentile) was associated with increased stroke risk compared to the 2.5-97.5th percentile (adjusted OR 3.12; 95% CI 1.22-7.96; p=0.017).