<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>10</volume><submitter>Beger C</submitter><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Self-monitoring of blood pressure at home is a better predictor of prognosis and recommended in hypertension guidelines. However, the influence of baseline blood pressure category and measurement schedule on BP values during a period of home blood pressure monitoring (HBPM) are still poorly defined, particularly when used in conjunction with a digital application.&lt;h4>Methods&lt;/h4>We analysed temporal BP changes and performed BP classification tracking in users with self-reported hypertension performing HBPM with a digital and interactive blood pressure coach.&lt;h4>Results&lt;/h4>Of 3175 users who enrolled in HBPM, 74.1% completed the first measurement period. Overall, mean systolic BP dropped significantly after the first day, but stratification by BP category demonstrated t</pubmed_abstract><journal>Frontiers in cardiovascular medicine</journal><pagination>1115987</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10113611</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Blood pressure dynamics during home blood pressure monitoring with a digital blood pressure coach-a prospective analysis of individual user data.</pubmed_title><pmcid>PMC10113611</pmcid><pubmed_authors>Wagner S</pubmed_authors><pubmed_authors>Haller H</pubmed_authors><pubmed_authors>Volland D</pubmed_authors><pubmed_authors>Lenz A</pubmed_authors><pubmed_authors>Limbourg FP</pubmed_authors><pubmed_authors>Beger C</pubmed_authors><pubmed_authors>Ruegger D</pubmed_authors><pubmed_authors>Schmidt-Ott KM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Blood pressure dynamics during home blood pressure monitoring with a digital blood pressure coach-a prospective analysis of individual user data.</name><description>&lt;h4>Introduction&lt;/h4>Self-monitoring of blood pressure at home is a better predictor of prognosis and recommended in hypertension guidelines. However, the influence of baseline blood pressure category and measurement schedule on BP values during a period of home blood pressure monitoring (HBPM) are still poorly defined, particularly when used in conjunction with a digital application.&lt;h4>Methods&lt;/h4>We analysed temporal BP changes and performed BP classification tracking in users with self-reported hypertension performing HBPM with a digital and interactive blood pressure coach.&lt;h4>Results&lt;/h4>Of 3175 users who enrolled in HBPM, 74.1% completed the first measurement period. Overall, mean systolic BP dropped significantly after the first day, but stratification by BP category demonstrated t</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-18T14:53:33.945Z</modification><creation>2025-04-07T01:10:29.223Z</creation></dates><accession>S-EPMC10113611</accession><cross_references><pubmed>37089883</pubmed><doi>10.3389/fcvm.2023.1115987</doi></cross_references></HashMap>