Comparative Visualization of Longitudinal 24-hour Ambulatory Blood Pressure Measurements in Pediatric Patients with Chronic Kidney Disease

dc.contributor.authorÖzmen, Mahmuten_US
dc.contributor.authorJabarulla, Mohamed Yaseenen_US
dc.contributor.authorGrabitz, Carl Roberten_US
dc.contributor.authorMelk, Anetteen_US
dc.contributor.authorWühl, Elkeen_US
dc.contributor.authorOeltze-Jafra, Steffenen_US
dc.contributor.editorGillmann, Christinaen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorLenti, Simoneen_US
dc.date.accessioned2023-06-10T06:31:32Z
dc.date.available2023-06-10T06:31:32Z
dc.date.issued2023
dc.description.abstractPediatric chronic kidney disease (CKD) increases the risk of cardiovascular disease, stroke and other life-threatening conditions. Monitoring blood pressure in CKD patients is crucial to managing these risks. 24-hour ambulatory blood pressure monitoring (ABPM) is recommended for its comprehensive and accurate assessment of blood pressure over 24 hours. Analyzing and comparing 24-hour ABPM data of multiple diagnostic visits is a challenging task. Traditional methods involve comparing individual visits using paper printouts, which can be time-consuming and lacks a systematic overview of deviations over time. In this work, we present a dashboard visualization that allows clinicians (i) to assess the evolution of ABPM data over multiple diagnostic visits, (ii) to compare ABPM data of CKD patients with reference data of a healthy cohort, and (iii) to perform a detailed intra-individual comparison of the ABPM data acquired at two subsequent diagnostic visits. We demonstrate the dashboard in a case study of a patient with mild-to-moderate-stage CKD.en_US
dc.description.seriesinformationEuroVis 2023 - Posters
dc.identifier.doi10.2312/evp.20231059
dc.identifier.isbn978-3-03868-220-2
dc.identifier.pages25-27
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20231059
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evp20231059
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Visual analytics
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.titleComparative Visualization of Longitudinal 24-hour Ambulatory Blood Pressure Measurements in Pediatric Patients with Chronic Kidney Diseaseen_US
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