Herrmann‐Lingen, Christoph

[["dc.bibliographiccitation.artnumber","57"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Psychiatry"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Vitinius, Frank"],["dc.contributor.author","Escherich, Steffen"],["dc.contributor.author","Deter, Hans-Christian"],["dc.contributor.author","Hellmich, Martin"],["dc.contributor.author","Jünger, Jana"],["dc.contributor.author","Petrowski, Katja"],["dc.contributor.author","Ladwig, Karl-Heinz"],["dc.contributor.author","Lambertus, Frank"],["dc.contributor.author","Michal, Matthias"],["dc.contributor.author","Weber, Cora"],["dc.contributor.author","de Zwaan, Martina"],["dc.contributor.author","Herrmann-Lingen, Christoph"],["dc.contributor.author","Ronel, Joram"],["dc.contributor.author","Albus, Christian"],["dc.date.accessioned","2019-07-09T11:49:56Z"],["dc.date.available","2019-07-09T11:49:56Z"],["dc.date.issued","2019"],["dc.description.abstract","Abstract Background Depressive symptoms are common in patients with coronary artery disease (CAD) and are associated with an unfavourable outcome. Establishing prognostic patient profiles prior to the beginning of mental health care may facilitate higher efficacy of targeted interventions. The aim of the current study was to identify sociodemographic and somatic predictors of depression outcome among depressed patients with CAD. Methods Based on the dataset of the multicentre SPIRR-CAD randomised controlled trial (n = 570 patients with CAD and ≥ 8 points on the Hospital Anxiety and Depression Scale (HADS)), 141 potential sociodemographic and somatic predictors of the change in the HADS-D depression score from baseline to 18-month-follow-up were derived in two different ways. We screened for univariable association with response, using either analysis of (co)variance or logistic regression, respectively, both adjusted for baseline HADS-D value and treatment group. To guard against overfitting, multivariable association was evaluated by a linear or binomial (generalised) linear model with lasso regularisation, a machine learning approach. Outcome measures were the change in continuous HADS-D depression scores, as well as three established binary criteria. The Charlson Comorbidity Index (CCI) was calculated to assess possible influences of comorbidities on our results and was also entered in our machine learning approach. Results Higher age (p = 0.002), unknown previous myocardial infarction (p = 0.013), and a higher heart rate variability during numeracy tests (p = .020) were univariably associated with a favourable depression outcome, whereas hyperuricemia (p ≤ 0.003), higher triglycerides (p = 0.014), NYHA class III (p ≤ 0.028), state after resuscitation (p ≤ 0.042), intake of thyroid hormones (p = 0.007), antidiabetic drugs (p = 0.015), analgesic drugs (p = 0.027), beta blockers (p = 0.035), uric acid drugs (p ≤ 0.039), and anticholinergic drugs (p = 0.045) were associated with an adverse effect on the HADS-D depression score. In all analyses, no significant differences between study arms could be found and physical comorbidities also had no significant influence on our results. Conclusion Our findings may contribute to identification of somatic and sociodemographic predictors of depression outcome in patients with CAD. The unexpected effects of specific medication require further clarification and further research is needed to establish a causal association between depression outcome and our predictors. Trial registration www.clinicaltrials.gov   NCT00705965 (registered 27th of June, 2008). www.isrctn.com   ISRCTN76240576 (registered 27th of March, 2008)."],["dc.identifier.doi","10.1186/s12888-019-2026-6"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15810"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59659"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","BioMed Central"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Somatic and sociodemographic predictors of depression outcome among depressed patients with coronary artery disease - a secondary analysis of the SPIRR-CAD study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","374"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Clinical Medicine"],["dc.bibliographiccitation.volume","11"],["dc.contributor.affiliation","Weber, Cora; 1Department of Psychosomatic Medicine and Psychotherapy, Clinic Hennigsdorf, Oberhavel Clinic, 16761 Hennigsdorf, Germany"],["dc.contributor.affiliation","Fangauf, Stella V.; 3Department of Psychosomatic Medicine and Psychotherapy, University of Göttingen Medical Center, 37075 Göttingen, Germany; sfangauf@outlook.com (S.V.F.); cherrma@gwdg.de (C.H.-L.)"],["dc.contributor.affiliation","Michal, Matthias; 4Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Mainz, 55131 Mainz, Germany; matthias.michal@unimedizin-mainz.de (M.M.); manfred.beutel@unimedizin-mainz.de (M.B.)"],["dc.contributor.affiliation","Ronel, Joram; 5Department of Psychosomatic Medicine, Klinik Barmelweid, 5017 Barmelweid, Switzerland; Joram.Ronel@barmelweid.ch"],["dc.contributor.affiliation","Herrmann-Lingen, Christoph; 3Department of Psychosomatic Medicine and Psychotherapy, University of Göttingen Medical Center, 37075 Göttingen, Germany; sfangauf@outlook.com (S.V.F.); cherrma@gwdg.de (C.H.-L.)"],["dc.contributor.affiliation","Ladwig, Karl-Heinz; 6Department of Psychosomatic Medicine and Psychotherapy, University Hospital Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; karl-heinz.ladwig@tum.de"],["dc.contributor.affiliation","Beutel, Manfred; 4Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Mainz, 55131 Mainz, Germany; matthias.michal@unimedizin-mainz.de (M.M.); manfred.beutel@unimedizin-mainz.de (M.B.)"],["dc.contributor.affiliation","Albus, Christian; 7Department of Psychosomatics and Psychotherapy, University of Cologne, 50937 Cologne, Germany; christian.albus@uk-koeln.de"],["dc.contributor.affiliation","Söllner, Wolfgang; 8Department of Psychosomatic Medicine and Psychotherapy, Paracelsus Medical University, Nuremberg Medical Hospital, 90419 Nuremberg, Germany; Wolfgang.Soellner@klinikum-nuernberg.de"],["dc.contributor.affiliation","Perschel, Frank Holger; 9Institute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Charité Universitätsmedizin Berlin, 13353 Berlin, Germany; frank.perschel@charite.de"],["dc.contributor.affiliation","de Zwaan, Martina; 11Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, 30625 Hannover, Germany; deZwaan.Martina@mh-hannover.de"],["dc.contributor.affiliation","Fritzsche, Kurt; 12Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Freiburg, 79104 Freiburg, Germany; kurt.fritzsche@uniklinik-freiburg.de"],["dc.contributor.affiliation","Deter, Hans-Christian; 2Department of Psychosomatics and Psychotherapy, Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, 12203 Berlin, Germany; deter@charite.de"],["dc.contributor.author","Weber, Cora"],["dc.contributor.author","Fangauf, Stella V."],["dc.contributor.author","Michal, Matthias"],["dc.contributor.author","Ronel, Joram"],["dc.contributor.author","Herrmann-Lingen, Christoph"],["dc.contributor.author","Ladwig, Karl-Heinz"],["dc.contributor.author","Beutel, Manfred"],["dc.contributor.author","Albus, Christian"],["dc.contributor.author","Söllner, Wolfgang"],["dc.contributor.author","Perschel, Frank Holger"],["dc.contributor.author","Deter, Hans-Christian"],["dc.contributor.author","de Zwaan, Martina"],["dc.contributor.author","Fritzsche, Kurt"],["dc.contributor.editor","Waller, Christiane"],["dc.contributor.editor","Radermacher, Peter"],["dc.contributor.editor","Henein, Michael"],["dc.date.accessioned","2022-02-01T10:31:50Z"],["dc.date.available","2022-02-01T10:31:50Z"],["dc.date.issued","2022"],["dc.date.updated","2022-02-09T13:17:59Z"],["dc.description.abstract","Disturbances of HPA axis functioning as represented by cortisol awakening reaction (CAR) belong to the mediating pathways linking psychosocial distress and cardiovascular risk. Both depression and anxiety have been confirmed as independent risk factors for coronary artery disease (CAD). However, data on anxiety and cortisol output in CAD patients are scarce. Based on previous data, we hypothesized that anxiety would be associated with higher cortisol output and a more pronounced morning increase in moderately depressed CAD patients. 77 patients (60 y, 79% male) underwent saliva sampling (+0, +30, +45, +60 min after awakening, midday and late-night sample). Anxiety was measured using the Hospital Anxiety and Depression Scale (HADS) and patients were grouped into anxious versus non anxious subjects based upon the recommended score (≥11). A repeated measures ANOVA yielded a significant time and quadratic time effect referring to the typical CAR. Anxious patients showed a significantly steeper 30 min increase, higher AUCi, lower waking and late-night cortisol levels. The steeper cortisol increase in the anxious group is in line with previous data and may be interpreted as a biological substrate of affect regulation. The lower basal and late-night levels coupled with greater AUCi mirror a more dynamic reactivity pattern compared to depressed subjects without anxiety."],["dc.description.abstract","Disturbances of HPA axis functioning as represented by cortisol awakening reaction (CAR) belong to the mediating pathways linking psychosocial distress and cardiovascular risk. Both depression and anxiety have been confirmed as independent risk factors for coronary artery disease (CAD). However, data on anxiety and cortisol output in CAD patients are scarce. Based on previous data, we hypothesized that anxiety would be associated with higher cortisol output and a more pronounced morning increase in moderately depressed CAD patients. 77 patients (60 y, 79% male) underwent saliva sampling (+0, +30, +45, +60 min after awakening, midday and late-night sample). Anxiety was measured using the Hospital Anxiety and Depression Scale (HADS) and patients were grouped into anxious versus non anxious subjects based upon the recommended score (≥11). A repeated measures ANOVA yielded a significant time and quadratic time effect referring to the typical CAR. Anxious patients showed a significantly steeper 30 min increase, higher AUCi, lower waking and late-night cortisol levels. The steeper cortisol increase in the anxious group is in line with previous data and may be interpreted as a biological substrate of affect regulation. The lower basal and late-night levels coupled with greater AUCi mirror a more dynamic reactivity pattern compared to depressed subjects without anxiety."],["dc.identifier.doi","10.3390/jcm11020374"],["dc.identifier.eissn","2077-0383"],["dc.identifier.pii","jcm11020374"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/98956"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-517"],["dc.publisher","MDPI"],["dc.relation.eissn","2077-0383"],["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.title","Cortisol Awakening Reaction and Anxiety in Depressed Coronary Artery Disease Patients"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Cardiovascular Disorders"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Herrmann-Lingen, Christoph"],["dc.contributor.author","Albus, Christian"],["dc.contributor.author","de Zwaan, Martina"],["dc.contributor.author","Geiser, Franziska"],["dc.contributor.author","Heinemann, Katrin"],["dc.contributor.author","Hellmich, Martin"],["dc.contributor.author","Michal, Matthias"],["dc.contributor.author","Sadlonova, Monika"],["dc.contributor.author","Tostmann, Ralf"],["dc.contributor.author","Wachter, Rolf"],["dc.contributor.author","Herbeck Belnap, Birgit"],["dc.date.accessioned","2021-04-14T08:32:17Z"],["dc.date.available","2021-04-14T08:32:17Z"],["dc.date.issued","2020"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1186/s12872-020-01810-9"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17702"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83871"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","1471-2261"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Efficacy of team-based collaborative care for distressed patients in secondary prevention of chronic coronary heart disease (TEACH): study protocol of a multicenter randomized controlled trial"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]