Kesztyüs, Tibor I.

[["dc.bibliographiccitation.firstpage","9935"],["dc.bibliographiccitation.issue","18"],["dc.bibliographiccitation.journal","International Journal of Environmental Research and Public Health"],["dc.bibliographiccitation.volume","18"],["dc.contributor.affiliation","Kesztyüs, Dorothea; 1Institute of General Practice, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; petra-1.cermak@uni-ulm.de (P.C.); anne.barzel@uni-ulm.de (A.B.)"],["dc.contributor.affiliation","Cermak, Petra; 1Institute of General Practice, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; petra-1.cermak@uni-ulm.de (P.C.); anne.barzel@uni-ulm.de (A.B.)"],["dc.contributor.affiliation","Kesztyüs, Tibor; 2Department of Medical Informatics, Georg-August University, Von-Siebold-Straße 3, 37075 Göttingen, Germany; tibor.kesztyues@med.uni-goettingen.de"],["dc.contributor.affiliation","Barzel, Anne; 1Institute of General Practice, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; petra-1.cermak@uni-ulm.de (P.C.); anne.barzel@uni-ulm.de (A.B.)"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.author","Cermak, Petra"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.contributor.author","Barzel, Anne"],["dc.contributor.editor","Tchounwou, Paul B."],["dc.date.accessioned","2021-12-01T09:24:05Z"],["dc.date.available","2021-12-01T09:24:05Z"],["dc.date.issued","2021"],["dc.date.updated","2022-02-09T13:20:34Z"],["dc.description.abstract","Time-restricted eating (TRE) has rapidly gained interest in the public and the scientific community. One presumed mechanism of action is the adaptation of the eating–fasting rhythm to the evolutionary circadian rhythm of the metabolism. Study results regarding the suggestion that earlier beginning of food intake leads to better outcomes are heterogeneous. We conducted a secondary analysis of pooled data from two pilot studies on TRE to examine an association between the timing of onset of food intake with obesity-related outcomes. Participants (n = 99, 83 females aged 49.9 ± 10.8 years) were asked to restrict their daily eating to 8–9 h for three months. Tertiles of the onset of food intake were assessed for changes in anthropometry, blood lipid levels, and health-related quality of life. We detected no significant differences in outcomes between early (before 9:47), medium (9:47–10:50), and late onset (after 10:50) of food intake. However, the duration of the eating period was longest in the group with the earliest (8.6 ± 1.0 h) and shortest in the group with the latest onset (7.5 ± 0.8 h). Subsequently, fasting duration was longest in the last group (16.5 h). This may have compromised the results. More research is needed in this area to address this question."],["dc.description.abstract","Time-restricted eating (TRE) has rapidly gained interest in the public and the scientific community. One presumed mechanism of action is the adaptation of the eating–fasting rhythm to the evolutionary circadian rhythm of the metabolism. Study results regarding the suggestion that earlier beginning of food intake leads to better outcomes are heterogeneous. We conducted a secondary analysis of pooled data from two pilot studies on TRE to examine an association between the timing of onset of food intake with obesity-related outcomes. Participants (n = 99, 83 females aged 49.9 ± 10.8 years) were asked to restrict their daily eating to 8–9 h for three months. Tertiles of the onset of food intake were assessed for changes in anthropometry, blood lipid levels, and health-related quality of life. We detected no significant differences in outcomes between early (before 9:47), medium (9:47–10:50), and late onset (after 10:50) of food intake. However, the duration of the eating period was longest in the group with the earliest (8.6 ± 1.0 h) and shortest in the group with the latest onset (7.5 ± 0.8 h). Subsequently, fasting duration was longest in the last group (16.5 h). This may have compromised the results. More research is needed in this area to address this question."],["dc.identifier.doi","10.3390/ijerph18189935"],["dc.identifier.eissn","1660-4601"],["dc.identifier.pii","ijerph18189935"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94842"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.publisher","MDPI"],["dc.relation.eissn","1660-4601"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Early or Delayed Onset of Food Intake in Time-Restricted Eating: Associations with Markers of Obesity in a Secondary Analysis of Two Pilot Studies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Public Health"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Traub, Meike"],["dc.contributor.author","Lauer, Romy"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.contributor.author","Wartha, Olivia"],["dc.contributor.author","Steinacker, Jürgen Michael"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.authorgroup","the Research Group “Join the Healthy Boat”"],["dc.date.accessioned","2022-06-08T07:57:17Z"],["dc.date.available","2022-06-08T07:57:17Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1186/s12889-018-5262-7"],["dc.identifier.pii","5262"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110049"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1471-2458"],["dc.title","Skipping breakfast, overconsumption of soft drinks and screen media: longitudinal analysis of the combined influence on weight development in primary schoolchildren"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Ritter, Zully"],["dc.contributor.author","Vogel, Stefan"],["dc.contributor.author","Schultze, Frank"],["dc.contributor.author","Pischek-Koch, Kerstin"],["dc.contributor.author","Schirrmeister, Wiebke"],["dc.contributor.author","Walcher, Felix"],["dc.contributor.author","Röhrig, Rainer"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.contributor.author","Krefting, Dagmar"],["dc.contributor.author","Blaschke, Sabine"],["dc.contributor.editor","Séroussi, Brigitte"],["dc.contributor.editor","Weber, Patrick"],["dc.contributor.editor","Dhombres, Ferdinand"],["dc.contributor.editor","Grouin, Cyril"],["dc.contributor.editor","Liebe, Jan-David"],["dc.contributor.editor","Pelayo, Sylvia"],["dc.contributor.editor","Pinna, Andrea"],["dc.contributor.editor","Rance, Bastien"],["dc.contributor.editor","Sacchi, Lucia"],["dc.contributor.editor","Ugon, Adrien"],["dc.contributor.editor","Benis, Arriel"],["dc.contributor.editor","Gallos, Parisis"],["dc.date.accessioned","2022-06-01T09:39:49Z"],["dc.date.available","2022-06-01T09:39:49Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.3233/SHTI220529"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108571"],["dc.notes.intern","DOI-Import GROB-572"],["dc.publisher","IOS Press"],["dc.relation.crisseries","Studies in Health Technology and Informatics"],["dc.relation.eisbn","9781643682853"],["dc.relation.isbn","9781643682846"],["dc.relation.ispartof","Challenges of Trustable AI and Added-Value on Health : Proceedings of MIE 2022"],["dc.title","Using Explainable Artificial Intelligence Models (ML) to Predict Suspected Diagnoses as Clinical Decision Support"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","343"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","CYBERPSYCHOLOGY & BEHAVIOR"],["dc.bibliographiccitation.lastpage","349"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Kesztyues, T. I."],["dc.contributor.author","Mehlitz, M."],["dc.contributor.author","Schilken, E."],["dc.contributor.author","Weniger, Godehard"],["dc.contributor.author","Wolf, S."],["dc.contributor.author","Piccolo, U."],["dc.contributor.author","Irle, Eva"],["dc.contributor.author","Rienhoff, Otto"],["dc.date.accessioned","2018-11-07T10:46:50Z"],["dc.date.available","2018-11-07T10:46:50Z"],["dc.date.issued","2000"],["dc.description.abstract","The University of Goettingen the Interdisciplinary Virtual Reality Research Group developed a neuropsychological test system that was supported by virtual reality (VR). The test system was designed in order to evaluate VR technology for the diagnostics of neuropsychological orientation disorders. To identify application problems, a preclinical evaluation study has been done. Side effects and task performance have been documented and analyzed for 22 probands. Focusing on side effects, we evaluated the difference between two projection modalities (head mounted display [HMD] and one-wall projection [OWP]). Furthermore two different VR environments (maze and park) were applied. The VR system demonstrated a good overall functionality, only a few problems occurred during the tests with the HMD. In regard to simulator sickness, a higher level of simulator sickness was observed in the HMD group. All other parameters did not differ substantially. Our VR-system with the neuropsychological tests for orientation disorders proved to be suitable for testing patients under controlled conditions. However, the application of VR-environments in clinical use with patients needs further investigation."],["dc.identifier.doi","10.1089/10949310050078788"],["dc.identifier.isi","000168235800007"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/47834"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Mary Ann Liebert Inc Publ"],["dc.publisher.place","Larchmont"],["dc.relation.conference","Virtual Reality and Mental Health Symposium"],["dc.relation.eventlocation","NEWPORT BEACH, CALIFORNIA"],["dc.relation.issn","1094-9313"],["dc.title","Preclinical evaluation of a virtual reality neuropsychological test system: Occurrence of side effects"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","11070"],["dc.bibliographiccitation.issue","21"],["dc.bibliographiccitation.journal","International Journal of Environmental Research and Public Health"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.author","Lampl, Josefine"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.contributor.editor","Tchounwou, Paul B."],["dc.date.accessioned","2021-12-01T09:22:49Z"],["dc.date.available","2021-12-01T09:22:49Z"],["dc.date.issued","2021"],["dc.description.abstract","The prevalence of obesity already reached epidemic proportions many years ago and more people may die from this pandemic than from COVID-19. However, the figures depend on which measure of fat mass is used. The determination of the associated health risk also depends on the applied measure. Therefore, we will examine the most common measures for their significance, their contribution to risk assessment and their applicability. The following categories are reported: indices of increased accumulation of body fat; weight indices and mortality; weight indices and risk of disease; normal weight obesity and normal weight abdominal obesity; metabolically healthy obesity; the obesity paradox. It appears that BMI is still the most common measure for determining weight categories, followed by measures of abdominal fat distribution. Newer measures, unlike BMI, take fat distribution into account but often lack validated cut-off values or have limited applicability. Given the high prevalence of obesity and the associated risk of disease and mortality, it is important for a targeted approach to identify risk groups and determine individual risk. Therefore, in addition to BMI, a measure of fat distribution should always be used to ensure that less obvious but risky manifestations such as normal weight obesity are identified."],["dc.description.abstract","The prevalence of obesity already reached epidemic proportions many years ago and more people may die from this pandemic than from COVID-19. However, the figures depend on which measure of fat mass is used. The determination of the associated health risk also depends on the applied measure. Therefore, we will examine the most common measures for their significance, their contribution to risk assessment and their applicability. The following categories are reported: indices of increased accumulation of body fat; weight indices and mortality; weight indices and risk of disease; normal weight obesity and normal weight abdominal obesity; metabolically healthy obesity; the obesity paradox. It appears that BMI is still the most common measure for determining weight categories, followed by measures of abdominal fat distribution. Newer measures, unlike BMI, take fat distribution into account but often lack validated cut-off values or have limited applicability. Given the high prevalence of obesity and the associated risk of disease and mortality, it is important for a targeted approach to identify risk groups and determine individual risk. Therefore, in addition to BMI, a measure of fat distribution should always be used to ensure that less obvious but risky manifestations such as normal weight obesity are identified."],["dc.identifier.doi","10.3390/ijerph182111070"],["dc.identifier.pii","ijerph182111070"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94491"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.publisher","MDPI"],["dc.relation.eissn","1660-4601"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","The Weight Problem: Overview of the Most Common Concepts for Body Mass and Fat Distribution and Critical Consideration of Their Usefulness for Risk Assessment and Practice"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","23"],["dc.bibliographiccitation.journal","International Journal of Environmental Research and Public Health"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.author","Kämpfer, Johanna"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.date.accessioned","2022-12-07T15:54:26Z"],["dc.date.available","2022-12-07T15:54:26Z"],["dc.date.issued","2022-11-22"],["dc.date.updated","2022-12-07T13:53:23Z"],["dc.description.abstract","Therapies with the continuous administration of anti-hormonal agents in sex-hormone-dependent malignancies such as prostate and breast carcinomas often lead to the development of resistant tumor cells. A systematic evaluation of the use and effects of the intermittent application of endocrine therapy could provide information on the state of knowledge in this research area. PubMed, Cochrane Library, Embase, and Web of Science will be systematically searched using pretested search strategies. Randomized and non-randomized controlled trials, pragmatic trials, case–control, and comparative cohort studies will be eligible. Primary outcomes will be progression-free survival, disease-free survival, and overall survival. The literature retrieved will be selected based on predefined inclusion and exclusion criteria. Relevant data will be extracted from included references into a pre-designed table. The risk of bias will be assessed, and the report of the results will follow PRISMA recommendations and include any deviations from this protocol. The increasing prevalence of breast and prostate cancer and limitations of current therapeutic approaches require a closer look at alternatives. Additionally, to explore new therapeutic agents, modalities of administration should be rigorously reviewed to determine the best regimens for patients. This proposed systematic review aims to summarize and evaluate the current knowledge regarding intermittent endocrine cancer therapy to provide a basis for further research."],["dc.identifier.doi","10.3390/ijerph192315486"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118480"],["dc.language.iso","en"],["dc.relation.eissn","1660-4601"],["dc.rights","CC BY 4.0"],["dc.title","Intermittent Use of Anti-Hormonal Agents for the Endocrine Therapy of Sex-Hormone-Dependent Breast and Prostate Cancer: A Protocol for a Systematic Review"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Deutsches Ärzteblatt international"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.author","Schönsteiner, Dorothée"],["dc.contributor.author","Erhardt, Julia"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.date.accessioned","2022-06-08T07:57:33Z"],["dc.date.available","2022-06-08T07:57:33Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.3238/arztebl.2019.0040"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110134"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1866-0452"],["dc.title","In Reply"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","76"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC nutrition"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.author","Fuchs, Monika"],["dc.contributor.author","Cermak, Petra"],["dc.contributor.author","Kesztyüs, Tibor I."],["dc.date.accessioned","2020-12-20T04:47:07Z"],["dc.date.accessioned","2021-10-27T13:22:27Z"],["dc.date.available","2020-12-20T04:47:07Z"],["dc.date.available","2021-10-27T13:22:27Z"],["dc.date.issued","2020"],["dc.date.updated","2020-12-20T04:47:07Z"],["dc.description.abstract","Background Therapeutic fasting may improve health-related quality of life (HRQoL) and sleep but is not applicable for everyone. Time-restricted eating (TRE) offers a low threshold alternative but research on associations with HRQoL and sleep is rare. Methods We conducted a secondary analysis of two pilot studies in a pre-post design, which examined TRE in healthy employees at the Ulm University and in abdominal obese patients in a general practitioners office. Participants reported their HRQoL (EQ-5D visual analogue scale) before and after 3 months of restricting their daily eating to 8–9 h. They kept a diary to protocol timing of first and last meal, sleep quality (analogue scale) and duration. Pearson’s correlation coefficient was applied to test bivariate correlations between continuous variables and linear regression analyses were conducted to identify associated factors with the pre-post differences in HRQoL and the differences in sleep quality. Results Ninety-nine participants (aged aged 48.9 ± 1.1, 83.8% female) reached the fasting target of 15–16 h on average on 77.2 ± 18.7% of all recorded days. HRQoL increased by 7.8 ± 12.6 and sleep quality by 9.6 ± 13.9 points, but sleep duration was not extended. Regression analysis revealed mean fasting duration and baseline sleep quality as significant factors associated with changes in HRQoL. Improvements in sleep quality correlated with baseline sleep quality and HRQoL at follow-up but not with fasting. Changes in anthropometry did not correlate with the HRQoL or sleep quality. Conclusions TRE correlates with increased HRQoL and sleep quality independent from weight loss. TRE is easily applicable with or without medical supervision. The potential effects of TRE on health and sleep should be further investigated in larger randomized trials. Trial registration German Register for Clinical Trials (DRKS), DRKS-ID: DRKS00015057 . Registered 4 July 2018."],["dc.identifier.doi","10.1186/s40795-020-00402-2"],["dc.identifier.pmid","33327959"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17713"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/92095"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.relation.orgunit","Universitätsmedizin Göttingen"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Associations of time-restricted eating with health-related quality of life and sleep in adults: a secondary analysis of two pre-post pilot studies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2854"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Nutrients"],["dc.bibliographiccitation.volume","11"],["dc.contributor.affiliation","Kesztyüs, Dorothea; \t\t \r\n\t\t Institute of General Practice, Ulm University, Helmholtzstr. 20, 89081 Ulm, Germany, dorothea.kesztyues@uni-ulm.de"],["dc.contributor.affiliation","Cermak, Petra; \t\t \r\n\t\t Institute of General Practice, Ulm University, Helmholtzstr. 20, 89081 Ulm, Germany, petra-1.cermak@uni-ulm.de"],["dc.contributor.affiliation","Gulich, Markus; \t\t \r\n\t\t Institute of General Practice, Ulm University, Helmholtzstr. 20, 89081 Ulm, Germany, markus.gulich@uni-ulm.de"],["dc.contributor.affiliation","Kesztyüs, Tibor; \t\t \r\n\t\t Institute of Medical Informatics, Georg-August University, Von-Siebold-Str. 3, 37075 Göttingen, Germany, tibor.kesztyues@med.uni-goettingen.de"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.author","Cermak, Petra"],["dc.contributor.author","Gulich, Markus"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.date.accessioned","2020-12-10T18:47:17Z"],["dc.date.available","2020-12-10T18:47:17Z"],["dc.date.issued","2019"],["dc.date.updated","2022-02-09T13:22:25Z"],["dc.identifier.doi","10.3390/nu11122854"],["dc.identifier.eissn","2072-6643"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78710"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-6643"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Adherence to Time-Restricted Feeding and Impact on Abdominal Obesity in Primary Care Patients: Results of a Pilot Study in a Pre–Post Design"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","749"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Life"],["dc.bibliographiccitation.volume","12"],["dc.contributor.affiliation","Sommer, Kim K.; 1Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; sommer.kimkatrin@mh-hannover.de (K.K.S.); gietzelt.matthias@mh-hannover.de (M.G.); marschollek.michael@mh-hannover.de (M.M.)"],["dc.contributor.affiliation","Amr, Ali; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.affiliation","Bavendiek, Udo; 4Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Straße, 130625 Hannover, Germany; bavendiek.udo@mh-hannover.de"],["dc.contributor.affiliation","Beierle, Felix; 5Institute of Clinical Epidemiology and Biometry, University of Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; felix.beierle@uni-wuerzburg.de (F.B.); peter.heuschmann@uni-wuerzburg.de (P.H.); pryss_r@ukw.de (R.P.)"],["dc.contributor.affiliation","Brunecker, Peter; 6Core Facility IT, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; peter.brunecker@charite.de (P.B.); jennifer.hoos@charite.de (J.D.E.H.)"],["dc.contributor.affiliation","Dathe, Henning; 8Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; henning.dathe@med.uni-goettingen.de (H.D.); tibor.kesztyues@med.uni-goettingen.de (T.K.); dagmar.krefting@med.uni-goettingen.de (D.K.); jendrik.richter@med.uni-goettingen.de (J.R.)"],["dc.contributor.affiliation","Eils, Jürgen; 9Center Digital Health, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; juergen.eils@charite.de"],["dc.contributor.affiliation","Ertl, Maximilian; 10Datenintegrationszentrum (DIZ), Servicezentrum Informatik (SMI), Universitätsklinikum Würzburg (UKW), Schweinfurter Strasse 4, 97078 Würzburg, Germany; ertl_m@ukw.de (M.E.); georg.fette@uni-wuerzburg.de (G.F.)"],["dc.contributor.affiliation","Fette, Georg; 10Datenintegrationszentrum (DIZ), Servicezentrum Informatik (SMI), Universitätsklinikum Würzburg (UKW), Schweinfurter Strasse 4, 97078 Würzburg, Germany; ertl_m@ukw.de (M.E.); georg.fette@uni-wuerzburg.de (G.F.)"],["dc.contributor.affiliation","Gietzelt, Matthias; 1Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; sommer.kimkatrin@mh-hannover.de (K.K.S.); gietzelt.matthias@mh-hannover.de (M.G.); marschollek.michael@mh-hannover.de (M.M.)"],["dc.contributor.affiliation","Heidecker, Bettina; 11Medizinische Klinik für Kardiologie, Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; bettina.heidecker@charite.de (B.H.); ulf.landmesser@charite.de (U.L.)"],["dc.contributor.affiliation","Hellenkamp, Kristian; 12Department of Cardiology and Pneumology/Heart Center, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; kristian.hellenkamp@med.uni-goettingen.de"],["dc.contributor.affiliation","Heuschmann, Peter; 5Institute of Clinical Epidemiology and Biometry, University of Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; felix.beierle@uni-wuerzburg.de (F.B.); peter.heuschmann@uni-wuerzburg.de (P.H.); pryss_r@ukw.de (R.P.)"],["dc.contributor.affiliation","Hoos, Jennifer D. E.; 6Core Facility IT, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; peter.brunecker@charite.de (P.B.); jennifer.hoos@charite.de (J.D.E.H.)"],["dc.contributor.affiliation","Kesztyüs, Tibor; 8Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; henning.dathe@med.uni-goettingen.de (H.D.); tibor.kesztyues@med.uni-goettingen.de (T.K.); dagmar.krefting@med.uni-goettingen.de (D.K.); jendrik.richter@med.uni-goettingen.de (J.R.)"],["dc.contributor.affiliation","Kerwagen, Fabian; 13Department Klinische Forschung und Epidemiologie, Deutsches Zentrum für Herzinsuffizienz, Am Schwarzenberg 15, 97078 Würzburg, Germany; kerwagen_f@ukw.de (F.K.); stoerk_s@ukw.de (S.S.)"],["dc.contributor.affiliation","Kindermann, Aljoscha; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.affiliation","Krefting, Dagmar; 8Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; henning.dathe@med.uni-goettingen.de (H.D.); tibor.kesztyues@med.uni-goettingen.de (T.K.); dagmar.krefting@med.uni-goettingen.de (D.K.); jendrik.richter@med.uni-goettingen.de (J.R.)"],["dc.contributor.affiliation","Landmesser, Ulf; 11Medizinische Klinik für Kardiologie, Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; bettina.heidecker@charite.de (B.H.); ulf.landmesser@charite.de (U.L.)"],["dc.contributor.affiliation","Marschollek, Michael; 1Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; sommer.kimkatrin@mh-hannover.de (K.K.S.); gietzelt.matthias@mh-hannover.de (M.G.); marschollek.michael@mh-hannover.de (M.M.)"],["dc.contributor.affiliation","Meder, Benjamin; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.affiliation","Merzweiler, Angela; 17Institute of Medical Informatics, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120 Heidelberg, Germany; angela.merzweiler@med.uni-heidelberg.de"],["dc.contributor.affiliation","Prasser, Fabian; 18Medical Informatics Group, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; fabian.prasser@bih-charite.de"],["dc.contributor.affiliation","Pryss, Rüdiger; 5Institute of Clinical Epidemiology and Biometry, University of Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; felix.beierle@uni-wuerzburg.de (F.B.); peter.heuschmann@uni-wuerzburg.de (P.H.); pryss_r@ukw.de (R.P.)"],["dc.contributor.affiliation","Richter, Jendrik; 8Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; henning.dathe@med.uni-goettingen.de (H.D.); tibor.kesztyues@med.uni-goettingen.de (T.K.); dagmar.krefting@med.uni-goettingen.de (D.K.); jendrik.richter@med.uni-goettingen.de (J.R.)"],["dc.contributor.affiliation","Schneider, Philipp; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.affiliation","Störk, Stefan; 13Department Klinische Forschung und Epidemiologie, Deutsches Zentrum für Herzinsuffizienz, Am Schwarzenberg 15, 97078 Würzburg, Germany; kerwagen_f@ukw.de (F.K.); stoerk_s@ukw.de (S.S.)"],["dc.contributor.affiliation","Dieterich, Christoph; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.author","Sommer, Kim K."],["dc.contributor.author","Amr, Ali"],["dc.contributor.author","Bavendiek, Udo"],["dc.contributor.author","Beierle, Felix"],["dc.contributor.author","Brunecker, Peter"],["dc.contributor.author","Dathe, Henning"],["dc.contributor.author","Eils, Jürgen"],["dc.contributor.author","Ertl, Maximilian"],["dc.contributor.author","Fette, Georg"],["dc.contributor.author","Gietzelt, Matthias"],["dc.contributor.author","Dieterich, Christoph"],["dc.contributor.author","Heidecker, Bettina"],["dc.contributor.author","Hellenkamp, Kristian"],["dc.contributor.author","Heuschmann, Peter"],["dc.contributor.author","Hoos, Jennifer D. E."],["dc.contributor.author","Kesztyüs, Tibor"],["dc.contributor.author","Kerwagen, Fabian"],["dc.contributor.author","Kindermann, Aljoscha"],["dc.contributor.author","Krefting, Dagmar"],["dc.contributor.author","Landmesser, Ulf"],["dc.contributor.author","Marschollek, Michael"],["dc.contributor.author","Meder, Benjamin"],["dc.contributor.author","Merzweiler, Angela"],["dc.contributor.author","Prasser, Fabian"],["dc.contributor.author","Pryss, Rüdiger"],["dc.contributor.author","Richter, Jendrik"],["dc.contributor.author","Schneider, Philipp"],["dc.contributor.author","Störk, Stefan"],["dc.date.accessioned","2022-06-01T09:39:59Z"],["dc.date.available","2022-06-01T09:39:59Z"],["dc.date.issued","2022"],["dc.date.updated","2022-06-05T22:44:40Z"],["dc.description.abstract","Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care."],["dc.description.sponsorship","the Federal Ministry of Education and Research (BMBF)"],["dc.identifier.doi","10.3390/life12050749"],["dc.identifier.pii","life12050749"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108610"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","2075-1729"],["dc.title","Structured, Harmonized, and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk Scores"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]