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4. Polygenic risk scores across the extended psychosis spectrum

Author

Smigielski, Lukasz, Papiol, Sergi, Theodoridou, Anastasia, Heekeren, Karsten, Gerstenberg, Miriam, Wotruba, Diana, Buechler, Roman, Hoffmann, Per, Herms, Stefan, Adorjan, Kristina, Anderson-Schmidt, Heike, Budde, Monika, Comes, Ashley L., Gade, Katrin, Heilbronner, Maria, Heilbronner, Urs, Kalman, Janos L., Klöhn-Saghatolislam, Farahnaz, Reich-Erkelenz, Daniela, Schaupp, Sabrina K., Schulte, Eva C., Senner, Fanny, Anghelescu, Ion-George, Arolt, Volker, Baune, Bernhard T., Dannlowski, Udo, Dietrich, Detlef E., Fallgatter, Andreas J., Figge, Christian, Jäger, Markus, Juckel, Georg, Konrad, Carsten, Nieratschker, Vanessa, Reimer, Jens, Reininghaus, Eva, Schmauß, Max, Spitzer, Carsten, von Hagen, Martin, Wiltfang, Jens, Zimmermann, Jörg, Gryaznova, Anna, Flatau-Nagel, Laura, Reitt, Markus, Meyers, Milena, Emons, Barbara, Haußleiter, Ida Sybille, Lang, Fabian U., Becker, Thomas, Wigand, Moritz E., Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Nöthen, Markus M., Andlauer, Till F. M., Rössler, Wulf, Walitza, Susanne, Falkai, Peter, Schulze, Thomas G., and Grünblatt, Edna

Published
2021
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7. Forschendes Lernen – Interprofessionalität: Lehrforschungsprojekt mit Studierenden in interdisziplinären Forschungsgruppen

Author

Emons, Barbara, Zeyer-Gliozzo, Birgit, Herbert, Franziska, Dürmuth, Markus, and Schäfer, Thorsten

Subjects
Medicine and health
Abstract

Im Rahmen des rektoratsgeförderten Lehrforschungsprojektes zur Datenkompetenz im Gesundheitsbereich an der Ruhr-Universität Bochum arbeiteten Studierende in fachübergreifenden Teams zusammen. Die Studierenden erforschten gruppenweise empirisch aus verschiedenen Perspektiven Nutzen und [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Published
2022
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11. An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings

Author

Dwyer, Dominic B., Kalman, Janos L., Gade, Katrin, Reich-Erkelenz, Daniela, Adorjan, Kristina, Senner, Fanny, Schaupp, Sabrina, Andlauer, Till F. M., Comes, Ashley L., Schulte, Eva C., Klöhn-Saghatolislam, Farah, Gryaznova, Anna, Budde, Monika, Hake, Maria, Bartholdi, Kim, Flatau-Nagel, Laura, Reitt, Markus, Quast, Silke, Stegmaier, Sophia, Meyers, Milena, Emons, Barbara, Haußleiter, Ida Sybille, Juckel, Georg, Kambeitz, Joseph, Nieratschker, Vanessa, Dannlowski, Udo, Yoshida, Tomoya, Schmauß, Max, Zimmermann, Jörg, Reimer, Jens, Wiltfang, Jens, Reininghaus, Eva, Anghelescu, Ion-George, Arolt, Volker, Ruef, Anne, Baune, Bernhard T., Konrad, Carsten, Thiel, Andreas, Fallgatter, Andreas J., Figge, Christian, von Hagen, Martin, Koller, Manfred, Lang, Fabian U., Wigand, Moritz E., Becker, Thomas, Antonucci, Linda A., Jäger, Markus, Dietrich, Detlef E., Scherk, Harald, Spitzer, Carsten, Folkerts, Here, Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Nöthen, Markus M., Kambeitz-Ilankovic, Lana, Mueller, Nikola, Papiol, Sergi, Heilbronner, Urs, Falkai, Peter, Schulze, Thomas G., Koutsouleris, Nikolaos, Hasan, Alkomiet, Kondofersky, Ivan, and Anderson-Schmidt, Heike

Subjects
Adult, Male, psychology [Psychotic Disorders], genetics [Depressive Disorder, Major], Reproducibility of Results, genetics [Psychotic Disorders], Middle Aged, Prognosis, classification [Psychotic Disorders], Educational Status, Humans, diagnosis [Psychotic Disorders], Female, genetics [Schizophrenia], ddc:610, Longitudinal Studies, genetics [Genetic Predisposition to Disease], genetics [Multifactorial Inheritance], genetics [Bipolar Disorder]
Abstract

Importance Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider a broader clinical spectrum, disentangle illness trajectories, and investigate genetic associations.Objective To detect psychosis subgroups using data-driven methods and examine their illness courses over 1.5 years and polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement.Design, Setting, and Participants This ongoing multisite, naturalistic, longitudinal (6-month intervals) cohort study began in January 2012 across 18 sites. Data from a referred sample of 1223 individuals (765 in the discovery sample and 458 in the validation sample) with DSM-IV diagnoses of schizophrenia, bipolar affective disorder (I/II), schizoaffective disorder, schizophreniform disorder, and brief psychotic disorder were collected from secondary and tertiary care sites. Discovery data were extracted in September 2016 and analyzed from November 2016 to January 2018, and prospective validation data were extracted in October 2018 and analyzed from January to May 2019.Main Outcomes and Measures A clinical battery of 188 variables measuring demographic characteristics, clinical history, symptoms, functioning, and cognition was decomposed using nonnegative matrix factorization clustering. Subtype-specific illness courses were compared with mixed models and polygenic scores with analysis of covariance. Supervised learning was used to replicate results in validation data with the most reliably discriminative 45 variables.Results Of the 765 individuals in the discovery sample, 341 (44.6%) were women, and the mean (SD) age was 42.7 (12.9) years. Five subgroups were found and labeled as affective psychosis (n = 252), suicidal psychosis (n = 44), depressive psychosis (n = 131), high-functioning psychosis (n = 252), and severe psychosis (n = 86). Illness courses with significant quadratic interaction terms were found for psychosis symptoms (R2 = 0.41; 95% CI, 0.38-0.44), depression symptoms (R2 = 0.28; 95% CI, 0.25-0.32), global functioning (R2 = 0.16; 95% CI, 0.14-0.20), and quality of life (R2 = 0.20; 95% CI, 0.17-0.23). The depressive and severe psychosis subgroups exhibited the lowest functioning and quadratic illness courses with partial recovery followed by reoccurrence of severe illness. Differences were found for educational attainment polygenic scores (mean [SD] partial η2 = 0.014 [0.003]) but not for diagnostic polygenic risk. Results were largely replicated in the validation cohort.Conclusions and Relevance Psychosis subgroups were detected with distinctive clinical signatures and illness courses and specificity for a nondiagnostic genetic marker. New data-driven clinical approaches are important for future psychosis taxonomies. The findings suggest a need to consider short-term to medium-term service provision to restore functioning in patients stratified into the depressive and severe psychosis subgroups.

Published
2020

12. An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings The PsyCourse Study

Author

Dwyer, Dominic B., Kalman, Janos L., Budde, Monika, Kambeitz, Joseph, Ruef, Anne, Antonucci, Linda A., Kambeitz-Ilankovic, Lana, Hasan, Alkomiet, Kondofersky, Ivan, Anderson-Schmidt, Heike, Gade, Katrin, Reich-Erkelenz, Daniela, Adorjan, Kristina, Senner, Fanny, Schaupp, Sabrina, Andlauer, Till F. M., Comes, Ashley L., Schulte, Eva C., Kloehn-Saghatolislam, Farah, Gryaznova, Anna, Hake, Maria, Bartholdi, Kim, Flatau-Nagel, Laura, Reitt, Markus, Quast, Silke, Stegmaier, Sophia, Meyers, Milena, Emons, Barbara, Haussleiter, Ida Sybille, Juckel, Georg, Nieratschker, Vanessa, Dannlowski, Udo, Yoshida, Tomoya, Schmauss, Max, Zimmermann, Joerg, Reimer, Jens, Wiltfang, Jens, Reininghaus, Eva, Anghelescu, Ion-George, Arolt, Volker, Baune, Bernhard T., Konrad, Carsten, Thiel, Andreas, Fallgatter, Andreas J., Figge, Christian, von Hagen, Martin, Koller, Manfred, Lang, Fabian U., Wigand, Moritz E., Becker, Thomas, Jaeger, Markus, Dietrich, Detlef E., Scherk, Harald, Spitzer, Carsten, Folkerts, Here, Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Noethen, Markus M., Mueller, Nikola, Papiol, Sergi, Heilbronner, Urs, Falkai, Peter, Schulze, Thomas G., Koutsouleris, Nikolaos, Dwyer, Dominic B., Kalman, Janos L., Budde, Monika, Kambeitz, Joseph, Ruef, Anne, Antonucci, Linda A., Kambeitz-Ilankovic, Lana, Hasan, Alkomiet, Kondofersky, Ivan, Anderson-Schmidt, Heike, Gade, Katrin, Reich-Erkelenz, Daniela, Adorjan, Kristina, Senner, Fanny, Schaupp, Sabrina, Andlauer, Till F. M., Comes, Ashley L., Schulte, Eva C., Kloehn-Saghatolislam, Farah, Gryaznova, Anna, Hake, Maria, Bartholdi, Kim, Flatau-Nagel, Laura, Reitt, Markus, Quast, Silke, Stegmaier, Sophia, Meyers, Milena, Emons, Barbara, Haussleiter, Ida Sybille, Juckel, Georg, Nieratschker, Vanessa, Dannlowski, Udo, Yoshida, Tomoya, Schmauss, Max, Zimmermann, Joerg, Reimer, Jens, Wiltfang, Jens, Reininghaus, Eva, Anghelescu, Ion-George, Arolt, Volker, Baune, Bernhard T., Konrad, Carsten, Thiel, Andreas, Fallgatter, Andreas J., Figge, Christian, von Hagen, Martin, Koller, Manfred, Lang, Fabian U., Wigand, Moritz E., Becker, Thomas, Jaeger, Markus, Dietrich, Detlef E., Scherk, Harald, Spitzer, Carsten, Folkerts, Here, Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Noethen, Markus M., Mueller, Nikola, Papiol, Sergi, Heilbronner, Urs, Falkai, Peter, Schulze, Thomas G., and Koutsouleris, Nikolaos

Abstract

This cohort study aims to detect psychosis subgroups and examine their illness courses over 1.5 years and their polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement. Question Will data-driven clustering using high-dimensional clinical data reveal psychosis subgroups with relevance to prognoses and polygenic risk? Findings In this cohort study including 1223 individuals, in the discovery sample of 765 individuals with predominantly bipolar and schizophrenia diagnoses, 5 subgroups were detected with different clinical signatures, illness trajectories, and genetic scores for educational attainment. Results were validated in a sample of 458 individuals. Meaning New data-driven clustering paired with rigorous validation may offer a means to extend symptom-based psychosis taxonomies toward functional outcomes, genetic markers, and trajectory-based stratifications. Importance Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider a broader clinical spectrum, disentangle illness trajectories, and investigate genetic associations. Objective To detect psychosis subgroups using data-driven methods and examine their illness courses over 1.5 years and polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement. Design, Setting, and Participants This ongoing multisite, naturalistic, longitudinal (6-month intervals) cohort study began in January 2012 across 18 sites. Data from a referred sample of 1223 individuals (765 in the discovery sample and 458 in the validation sample) with DSM-IV diagnoses of schizophrenia, bipolar affective disorder (I/II), schizoaffective disorder, schizophreniform disorder, and brief psychotic disorder were collected from secondary and tertiary care sites. Discovery data were extracted in September 2016 and analyzed from November 2016 to January 2018, a

Published
2020

14. An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings

Author

Dwyer, Dominic B., primary, Kalman, Janos L., additional, Budde, Monika, additional, Kambeitz, Joseph, additional, Ruef, Anne, additional, Antonucci, Linda A., additional, Kambeitz-Ilankovic, Lana, additional, Hasan, Alkomiet, additional, Kondofersky, Ivan, additional, Anderson-Schmidt, Heike, additional, Gade, Katrin, additional, Reich-Erkelenz, Daniela, additional, Adorjan, Kristina, additional, Senner, Fanny, additional, Schaupp, Sabrina, additional, Andlauer, Till F. M., additional, Comes, Ashley L., additional, Schulte, Eva C., additional, Klöhn-Saghatolislam, Farah, additional, Gryaznova, Anna, additional, Hake, Maria, additional, Bartholdi, Kim, additional, Flatau-Nagel, Laura, additional, Reitt, Markus, additional, Quast, Silke, additional, Stegmaier, Sophia, additional, Meyers, Milena, additional, Emons, Barbara, additional, Haußleiter, Ida Sybille, additional, Juckel, Georg, additional, Nieratschker, Vanessa, additional, Dannlowski, Udo, additional, Yoshida, Tomoya, additional, Schmauß, Max, additional, Zimmermann, Jörg, additional, Reimer, Jens, additional, Wiltfang, Jens, additional, Reininghaus, Eva, additional, Anghelescu, Ion-George, additional, Arolt, Volker, additional, Baune, Bernhard T., additional, Konrad, Carsten, additional, Thiel, Andreas, additional, Fallgatter, Andreas J., additional, Figge, Christian, additional, von Hagen, Martin, additional, Koller, Manfred, additional, Lang, Fabian U., additional, Wigand, Moritz E., additional, Becker, Thomas, additional, Jäger, Markus, additional, Dietrich, Detlef E., additional, Scherk, Harald, additional, Spitzer, Carsten, additional, Folkerts, Here, additional, Witt, Stephanie H., additional, Degenhardt, Franziska, additional, Forstner, Andreas J., additional, Rietschel, Marcella, additional, Nöthen, Markus M., additional, Mueller, Nikola, additional, Papiol, Sergi, additional, Heilbronner, Urs, additional, Falkai, Peter, additional, Schulze, Thomas G., additional, and Koutsouleris, Nikolaos, additional

Published
2020
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15. Enhanced Nitric Oxide (NO) and Decreased ADMA Synthesis in Pediatric ADHD and Selective Potentiation of NO Synthesis by Methylphenidate

Author

Jansen, Kathrin, primary, Hanusch, Beatrice, additional, Pross, Saskia, additional, Hanff, Erik, additional, Drabert, Kathrin, additional, Bollenbach, Alexander, additional, Dugave, Irina, additional, Carmann, Christina, additional, Siefen, Rainer Georg, additional, Emons, Barbara, additional, Juckel, Georg, additional, Legenbauer, Tanja, additional, Tsikas, Dimitrios, additional, and Lücke, Thomas, additional

Published
2020
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18. Cover Image, Volume 180B, Number 2, March 2019

Author

Budde, Monika, primary, Anderson‐Schmidt, Heike, additional, Gade, Katrin, additional, Reich‐Erkelenz, Daniela, additional, Adorjan, Kristina, additional, Kalman, Janos L., additional, Senner, Fanny, additional, Papiol, Sergi, additional, Andlauer, Till F. M., additional, Comes, Ashley L., additional, Schulte, Eva C., additional, Klöhn‐Saghatolislam, Farah, additional, Gryaznova, Anna, additional, Hake, Maria, additional, Bartholdi, Kim, additional, Flatau, Laura, additional, Reitt, Markus, additional, Quast, Silke, additional, Stegmaier, Sophia, additional, Meyers, Milena, additional, Emons, Barbara, additional, Haußleiter, Ida Sybille, additional, Juckel, Georg, additional, Nieratschker, Vanessa, additional, Dannlowski, Udo, additional, Schaupp, Sabrina K., additional, Schmauß, Max, additional, Zimmermann, Jörg, additional, Reimer, Jens, additional, Schulz, Sybille, additional, Wiltfang, Jens, additional, Reininghaus, Eva, additional, Anghelescu, Ion‐George, additional, Arolt, Volker, additional, Baune, Bernhard T., additional, Konrad, Carsten, additional, Thiel, Andreas, additional, Fallgatter, Andreas J., additional, Figge, Christian, additional, von Hagen, Martin, additional, Koller, Manfred, additional, Lang, Fabian U., additional, Wigand, Moritz E., additional, Becker, Thomas, additional, Jäger, Markus, additional, Dietrich, Detlef E., additional, Stierl, Sebastian, additional, Scherk, Harald, additional, Spitzer, Carsten, additional, Folkerts, Here, additional, Witt, Stephanie H., additional, Degenhardt, Franziska, additional, Forstner, Andreas J., additional, Rietschel, Marcella, additional, Nöthen, Markus M., additional, Falkai, Peter, additional, Schulze, Thomas G., additional, and Heilbronner, Urs, additional

Published
2019
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21. A longitudinal approach to biological psychiatric research: The PsyCourse study

Author

Budde, Monika, primary, Anderson‐Schmidt, Heike, additional, Gade, Katrin, additional, Reich‐Erkelenz, Daniela, additional, Adorjan, Kristina, additional, Kalman, Janos L., additional, Senner, Fanny, additional, Papiol, Sergi, additional, Andlauer, Till F. M., additional, Comes, Ashley L., additional, Schulte, Eva C., additional, Klöhn‐Saghatolislam, Farah, additional, Gryaznova, Anna, additional, Hake, Maria, additional, Bartholdi, Kim, additional, Flatau, Laura, additional, Reitt, Markus, additional, Quast, Silke, additional, Stegmaier, Sophia, additional, Meyers, Milena, additional, Emons, Barbara, additional, Haußleiter, Ida Sybille, additional, Juckel, Georg, additional, Nieratschker, Vanessa, additional, Dannlowski, Udo, additional, Schaupp, Sabrina K., additional, Schmauß, Max, additional, Zimmermann, Jörg, additional, Reimer, Jens, additional, Schulz, Sybille, additional, Wiltfang, Jens, additional, Reininghaus, Eva, additional, Anghelescu, Ion‐George, additional, Arolt, Volker, additional, Baune, Bernhard T., additional, Konrad, Carsten, additional, Thiel, Andreas, additional, Fallgatter, Andreas J., additional, Figge, Christian, additional, von Hagen, Martin, additional, Koller, Manfred, additional, Lang, Fabian U., additional, Wigand, Moritz E., additional, Becker, Thomas, additional, Jäger, Markus, additional, Dietrich, Detlef E., additional, Stierl, Sebastian, additional, Scherk, Harald, additional, Spitzer, Carsten, additional, Folkerts, Here, additional, Witt, Stephanie H., additional, Degenhardt, Franziska, additional, Forstner, Andreas J., additional, Rietschel, Marcella, additional, Nöthen, Markus M., additional, Falkai, Peter, additional, Schulze, Thomas G., additional, and Heilbronner, Urs, additional

Published
2018
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22. A Longitudinal Approach to Biological Psychiatric Research: The PsyCourse Study

Author

Budde, Monika, primary, Anderson-Schmidt, Heike, additional, Gade, Katrin, additional, Reich-Erkelenz, Daniela, additional, Adorjan, Kristina, additional, Kalman, Janos L., additional, Senner, Fanny, additional, Papiol, Sergi, additional, Andlauer, Till F. M., additional, Comes, Ashley L., additional, Schulte, Eva C., additional, Klöhn-Saghatolislam, Farah, additional, Gryaznova, Anna, additional, Hake, Maria, additional, Bartholdi, Kim, additional, Flatau, Laura, additional, Reitt, Markus, additional, Quast, Silke, additional, Stegmaier, Sophia, additional, Meyers, Milena, additional, Emons, Barbara, additional, Haußleiter, Ida Sybille, additional, Juckel, Georg, additional, Nieratschker, Vanessa, additional, Dannlowski, Udo, additional, Schmauß, Max, additional, Zimmermann, Jörg, additional, Reimer, Jens, additional, Schulz, Sybille, additional, Wiltfang, Jens, additional, Reininghaus, Eva, additional, Anghelescu, Ion-George, additional, Arolt, Volker, additional, Baune, Bernhard T., additional, Konrad, Carsten, additional, Thiel, Andreas, additional, Fallgatter, Andreas J., additional, Figge, Christian, additional, von Hagen, Martin, additional, Koller, Manfred, additional, Lang, Fabian U., additional, Wigand, Moritz E., additional, Becker, Thomas, additional, Jäger, Markus, additional, Dietrich, Detlef E., additional, Stierl, Sebastian, additional, Scherk, Harald, additional, Spitzer, Carsten, additional, Folkerts, Here, additional, Witt, Stephanie H., additional, Degenhardt, Franziska, additional, Forstner, Andreas J., additional, Rietschel, Marcella, additional, Nöthen, Markus M., additional, Falkai, Peter, additional, Schulze, Thomas G., additional, and Heilbronner, Urs, additional

Published
2017
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24. A longitudinal approach to biological psychiatric research: The PsyCourse study

Author

Budde, Monika, Anderson‐Schmidt, Heike, Gade, Katrin, Reich‐Erkelenz, Daniela, Adorjan, Kristina, Kalman, Janos L., Senner, Fanny, Papiol, Sergi, Andlauer, Till F. M., Comes, Ashley L., Schulte, Eva C., Klöhn‐Saghatolislam, Farah, Gryaznova, Anna, Hake, Maria, Bartholdi, Kim, Flatau, Laura, Reitt, Markus, Quast, Silke, Stegmaier, Sophia, Meyers, Milena, Emons, Barbara, Haußleiter, Ida Sybille, Juckel, Georg, Nieratschker, Vanessa, Dannlowski, Udo, Schaupp, Sabrina K., Schmauß, Max, Zimmermann, Jörg, Reimer, Jens, Schulz, Sybille, Wiltfang, Jens, Reininghaus, Eva, Anghelescu, Ion‐George, Arolt, Volker, Baune, Bernhard T., Konrad, Carsten, Thiel, Andreas, Fallgatter, Andreas J., Figge, Christian, von Hagen, Martin, Koller, Manfred, Lang, Fabian U., Wigand, Moritz E., Becker, Thomas, Jäger, Markus, Dietrich, Detlef E., Stierl, Sebastian, Scherk, Harald, Spitzer, Carsten, Folkerts, Here, Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Nöthen, Markus M., Falkai, Peter, Schulze, Thomas G., and Heilbronner, Urs

Abstract

In current diagnostic systems, schizophrenia and bipolar disorder are still conceptualized as distinct categorical entities. Recently, both clinical and genomic evidence have challenged this Kraepelinian dichotomy. There are only few longitudinal studies addressing potential overlaps between these conditions. Here, we present design and first results of the PsyCourse study (N= 891 individuals at baseline), an ongoing transdiagnostic study of the affective‐to‐psychotic continuum that combines longitudinal deep phenotyping and dimensional assessment of psychopathology with an extensive collection of biomaterial. To provide an initial characterization of the PsyCourse study sample, we compare two broad diagnostic groups defined by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM‐IV) classification system, that is, predominantly affective (n= 367 individuals) versus predominantly psychotic disorders (n= 524 individuals). Depressive, manic, and psychotic symptoms as well as global functioning over time were contrasted using linear mixed models. Furthermore, we explored the effects of polygenic risk scores for schizophrenia on diagnostic group membership and addressed their effects on nonparticipation in follow‐up visits. While phenotypic results confirmed expected differences in current psychotic symptoms and global functioning, both manic and depressive symptoms did not vary between both groups after correction for multiple testing. Polygenic risk scores for schizophrenia significantly explained part of the variability of diagnostic group. The PsyCourse study presents a unique resource to research the complex relationships of psychopathology and biology in severe mental disorders not confined to traditional diagnostic boundaries and is open for collaborations.

Published
2019
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28. Voluntary versus involuntary hospital admission in child and adolescent psychiatry: a German sample

Author

Jendreyschak, Jasmin, primary, Illes, Franciska, additional, Hoffmann, Knut, additional, Holtmann, Martin, additional, Haas, Claus-Rüdiger, additional, Burchard, Falk, additional, Emons, Barbara, additional, Schaub, Markus, additional, Armgart, Carina, additional, Schnieder, Hildegard, additional, Juckel, Georg, additional, and Haussleiter, Ida-Sibylle, additional

Published
2013
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29. Negative Emotionen und Verständnis - Zwangsmaßnahmen aus Patientensicht

Author

Armgart, Carina, additional, Schaub, Markus, additional, Hoffmann, Knut, additional, Illes, Franciska, additional, Emons, Barbara, additional, Jendreyschak, Jasmin, additional, Schramm, Anja, additional, Richter, Stefan, additional, Leßmann, Josef, additional, Juckel, Georg, additional, and Haußleiter, Ida, additional

Published
2013
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33. Impact of social-psychiatric services and psychiatric clinics on involuntary admissions.

Author

Emons, Barbara, Haussleiter, Ida Sybille, Kalthoff, Jörg, Schramm, Anja, Hoffmann, Knut, Jendreyschak, Jasmin, Schaub, Markus, Armgart, Carina, Juckel, Georg, and Illes, Franciska

Subjects
*REHABILITATION of people with mental illness, *HOSPITAL utilization, *STATISTICAL correlation, *FACTOR analysis, *HOME care services, *RESEARCH methodology, *PATIENTS, *QUESTIONNAIRES, *REGRESSION analysis, *RESEARCH funding, *T-test (Statistics), *ORGANIZATIONAL structure, *SOCIAL support, *SOCIOECONOMIC factors, *RESIDENTIAL care, *INVOLUNTARY hospitalization, *PREDICTIVE validity, *RETROSPECTIVE studies, *DESCRIPTIVE statistics, MULTIHOSPITAL system statistics, PSYCHIATRIC hospital statistics
Abstract

Background: Germany provides a wide range of highly developed mental health care to its citizens. The aim of this study was to identify factors influencing the voluntariness of admissions to psychiatric hospitals. Especially the impact of demographic factors of the region, characteristics of the psychiatric hospitals and characteristics of the psychosocial services was analyzed. Method: A retrospective analysis of hospital admission registers from 13 German adult psychiatric hospitals in 2009 was conducted. Public data on the regional psychiatric accommodation and demographic situation were added. Hospitals were dichotomously divided according to their index of involuntary admissions. Group comparisons were performed between the clinics with low and high involuntary admission indices. Analysis was conducted with clinical, psychiatric provision and demographic data related to inpatients in the Landschaftsverbands Westfalen-Lippe (LWL)-PsychiatryNetwork. Results: Especially the range of services provided by the social-psychiatric services in the region such as number of supervised patients and home visits had an influence on the proportion of involuntary admissions to a psychiatric hospital. Some demographic characteristics of the region such as discretionary income showed further influence. Contrary to our expectations, the characteristics of the individual hospital seem to have no influence on the admission rate. Conclusion: Social-psychiatric services show a preventive impact on involuntary acute psychiatry interventions. Sociodemographic factors and patient variables play a role with regard to the number of involuntary hospitalizations, whereas characteristics of hospitals seemed to play no role. [ABSTRACT FROM AUTHOR]

Published
2014
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34. Telemedicine for outpatient treatment of depressive disorders.

Author

Juckel G, Neumann E, Jäger A, Welz M, Heinrich J, Pehnke K, Haussleiter IS, and Emons B

Subjects
Humans, Quality of Life, Outpatients, Psychotherapy, Telemedicine, Depressive Disorder therapy, Depressive Disorder psychology
Abstract

Background: The newly developed app TellUs is a digital offering for psychiatric outpatient treatment that includes diagnostic and therapeutic tools. The aim of this study was to test the clinical efficiency and patient satisfaction of TellUs., Methods: Sixty-four patients with depressive disorder took part in the study for 3 months. The intervention group was treated digitally with TellUs and the control group received visiting treatment (treatment as usual) during that time., Results: In both groups, a significant decrease of depressive symptoms and general strain through psychological symptoms, along with an increase of quality of life in the psychological domain, was shown. Furthermore, both groups were highly satisfied with the treatment., Conclusions: TellUs was shown to be equivalent to treatment as usual in terms of clinical efficiency and patient satisfaction.

Published
2022
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35. [Negative emotions and understanding - patients' perspective on coercion].

Author

Armgart C, Schaub M, Hoffmann K, Illes F, Emons B, Jendreyschak J, Schramm A, Richter S, Lessmann JJ, Juckel G, and Haußleiter IS

Subjects
Adolescent, Adult, Aged, Female, Germany, Hospitals, Psychiatric, Humans, Male, Middle Aged, Mood Disorders psychology, Mood Disorders rehabilitation, Personality Disorders psychology, Personality Disorders rehabilitation, Psychotic Disorders psychology, Retrospective Studies, Schizophrenia rehabilitation, Schizophrenic Psychology, Substance-Related Disorders psychology, Young Adult, Coercion, Commitment of Mentally Ill, Comprehension, Patient Satisfaction, Psychotic Disorders rehabilitation, Psychotropic Drugs administration & dosage, Restraint, Physical psychology, Substance-Related Disorders rehabilitation
Abstract

Objective: This study evaluated involuntarily admitted psychiatric patients' and their perception of coercive measures (i. e. involuntary admission and physical or pharmacological restraint) by asking retrospectively which emotions were induced during the process of coercion., Method: Interviews were carried out around 3 weeks after coercion. The interview consisted of 31 items categorized into demographic, nosological and coercion-related themes. Patients were also asked about their subjective experiences of the coercion. 40 patients were recruited, with 72 % suffering from psychosis-related and 21 % with affective disorders. For 22.5 % of the patients, this was their first psychiatric hospitalization. The most frequently reported emotions were rage, anger and despair. Patients who were more stable, according to the Clinical Global Impressions scale (CGI), generally evaluated the coercion as being worse., Conclusion: More than half of the patients were satisfied with the treatment received during hospitalization. The potential suffering caused as a result of patients' perceptions of the coercion, and the impact of this on the course of the disease should be taken into account when developing new treatment strategies., (© Georg Thieme Verlag KG Stuttgart · New York.)

Published
2013
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36. Efficacy of recombinant adeno-associated viral vectors serotypes 1, 2, and 5 for the transduction of pancreatic and colon carcinoma cells.

Author

Teschendorf C, Emons B, Muzyczka N, Graeven U, and Schmiegel W

Subjects
Cell Line, Dependovirus classification, HT29 Cells, Humans, Serotyping, Colonic Neoplasms therapy, Dependovirus genetics, Genetic Therapy, Genetic Vectors, Pancreatic Neoplasms therapy, Transduction, Genetic
Abstract

Background: The development of efficient and specific vector systems remains a central issue in gene therapy. Several different adeno-associated virus (AAV) serotypes have so far been characterized so far which show different tissue tropisms., Materials and Methods: The vectors used here contained AAV2 transgene cassette containing green fluorescent protein (GFP) in AAV1, AAV2, or AAV5 capsids, producing the recombinant pseudotypes rAAV2/1, rAAV2/2, and rAAV2/5. The transduction efficiency of the different pseudotyped AAV vectors was tested in vitro in pancreatic and colon cancer cells lines (HT-29, BXPC3, and Hs766T)., Results: For all three serotypes, the percentage of GFP-positive cells was below 10% at multiplicities of infection (MOI) 100 rAAV vectors when used alone for infection. However, transduction efficiency for rAAV vectors increased dramatically when the cells were co-infected with wild-type adenovirus (wtAd). The percentage of GFP-positive cells ranged from 19.8-65.3% for AAV2/1 and 16.9-70.2% for AAV2/5, respectively. It was highest for rAAV2/2, at 40.9-88.4%. Variation between the cell lines was observed, with BXPC3 scoring the highest transduction rates and HT-29 the lowest., Conclusion: This study indicates that vectors based on distinct AAV serotypes 1, 2, and 5 all transduce pancreatic and colon cell lines poorly when used alone. Co-infection with wtAd increase transduction rates dramatically indicating that slow second-strand synthesis is a reason for the poor transduction efficiency. Due to the poor transduction rates, none of the rAAV serotypes tested here seem to be feasible for the treatment of malignant tumors.

Published
2010

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