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Neurology

24-hour ambulatory blood pressure and cryptogenic ischemic stroke in young adults

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Article: 2203513 | Received 28 Sep 2022, Accepted 11 Apr 2023, Published online: 22 Apr 2023

Figures & data

Table 1. Characteristics of patients and controls included in the study.

Table 2. Characteristics of ambulatory blood pressure monitoring.

Table 3. Comparison of blood pressure levels between patients and controls.

Table 4. Prevalence of different hypertension and non-dipping phenotypes in patients and controls.

Table 5. Odds ratios and 95% confidence intervals from multivariable binary logistic regression models on the associations of non-dipping patterns of blood pressure and a dip in blood pressure with cryptogenic ischemic stroke.

Table 6. Odds ratios and 95% confidence intervals from multivariable binary logistic regression models on the associations of non-dipping patterns of blood pressure and a dip in blood pressure with cryptogenic ischemic stroke (as a difference to Table 5, the confounder ‘a history of hypertension’ was replaced with ‘hypertension by any definition’.

Table 7. Odds ratios and 95% confidence intervals from multivariable binary logistic regression models on the associations of non-dipping patterns of blood pressure and a dip in blood pressure with cryptogenic ischemic stroke stratified by the status of patent foramen ovale.

Table 8. Selected characteristics, blood pressure levels, and different hypertension and non-dipping phenotypes of patients stratified by the delay between the stroke and ambulatory blood pressure monitoring.

Data availability

The corresponding author had full access to all the data in the study and takes responsibility for its integrity and the data analysis. The data of this study may be available from the corresponding author upon reasonable request.