Rottmann, Thorsten

[["dc.bibliographiccitation.firstpage","516"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","ESC Heart Failure"],["dc.bibliographiccitation.lastpage","525"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Werhahn, Stefanie Maria"],["dc.contributor.author","Dathe, Henning"],["dc.contributor.author","Rottmann, Thorsten"],["dc.contributor.author","Franke, Thomas"],["dc.contributor.author","Vahdat, Dan"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Seidler, Tim"],["dc.date.accessioned","2019-07-09T11:51:51Z"],["dc.date.available","2019-07-09T11:51:51Z"],["dc.date.issued","2019"],["dc.description.abstract","AIMS: Health data captured by commercially available smart devices may represent meaningful patient-reported outcome measures (PROMs) in heart failure (HF) patients. The purpose of this study was to test this hypothesis by evaluating the feasibility of a new telemonitoring concept for patients following initial HF hospitalization. METHODS AND RESULTS: We designed a cardio patient monitoring platform (CPMP) that comprised mobile iOS-based applications for patients' smartphone/smartwatch and the equivalent application on a physicians' tablet. It allowed for safe and continuous data transmission of self-measured physiological parameters, activity data, and patient-reported symptoms. In a prospective feasibility trial with 692 patient days from 10 patients hospitalized for newly diagnosed HF with reduced ejection fraction (mean left ventricular ejection fraction (LVEF) 26.5 ± 9.8%), we examined the CPMP during the first 2 months following discharge (69 ± 15 observation days per patient). The mean daily step count recorded by the mobile devices emerged as a promising new PROM. Its 14 day average increased over the study period (3612 ± 3311 steps/day at study inclusion and 7069 ± 5006 steps/day at end of study; P < 0.0001). It is unique for continuously reflecting real-life activity and correlated significantly with traditional surrogate parameters of cardiac performance including LVEF (r = 0.44; 95% CI 0.07-0.71; P = 0.0232), 6 min walk test (r = 0.67; 95% CI 0.38-0.84; P = 0.0002), and scores in health-related quality of life questionnaires. CONCLUSIONS: We provide the first patient monitoring platform for HF patients that relies on commercially available iOS/watchOS-based devices. Our study suggests it is ready for implementation as a tool for recording meaningful PROMs in future HF trials and telemonitoring."],["dc.description.sponsorship","Department of Cardiology of the University Medical Center Göttingen"],["dc.identifier.doi","10.1002/ehf2.12425"],["dc.identifier.pmid","30868756"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16213"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60028"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY-NC-ND 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/4.0"],["dc.subject.ddc","610"],["dc.title","Designing meaningful outcome parameters using mobile technology: a new mobile application for telemonitoring of patients with heart failure"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Information Technology"],["dc.bibliographiccitation.volume","59"],["dc.contributor.author","Baum, Benjamin"],["dc.contributor.author","Bauer, Christian R."],["dc.contributor.author","Franke, Thomas"],["dc.contributor.author","Kusch, Harald"],["dc.contributor.author","Parciak, Marcel"],["dc.contributor.author","Rottmann, Thorsten"],["dc.contributor.author","Umbach, Nadine"],["dc.contributor.author","Sax, Ulrich"],["dc.date.accessioned","2018-04-24T15:08:22Z"],["dc.date.available","2018-04-24T15:08:22Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1515/itit-2016-0031"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13765"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/176"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | INF: Unterstützung der SFB 1002 Forschungsdatenintegration, -visualisierung und -nachnutzung"],["dc.relation.workinggroup","RG Nußbeck"],["dc.title","Opinion paper: Data provenance challenges in biomedical research"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","overview_ja"],["dspace.entity.type","Publication"]]