Publications by authors named "Katharina Kock"

Primary cutaneous CD4+ small or medium T-cell lymphoproliferative disorder (PCSM-LPD) is a clonal T-cell proliferation disease confined to the skin. PCSM-LPD shares expression of T follicular helper (Tfh) cell markers with various mature T-cell lymphomas. However, the benign presentation of PCSM-LPD contrasts the clinical behavior of other Tfh-lymphomas.

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Aims: The aim was to gain insight into the biology of primary cutaneous CD4 small/medium T-cell lymphoproliferative disorder (PCSM-LPD).

Methods: We describe the histopathological and clinical characteristics of 177 PCSM-LPD diagnosed at our consultation centre. We performed immunohistochemical multistaining in a subset of cases (n = 46) including PD1, Cyclin D1, and multiple markers of proliferation.

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Objective: This study investigated symptom change trajectory for patients with persistent somatic symptoms (PSS) during psychotherapy and the association of these patterns with pre-treatment characteristics and long-term outcome.

Methods: Growth mixture modeling was used to identify trajectory curves in a sample of  = 210 outpatients diagnosed with PSS and treated either with conventional cognitive behavioral therapy (CBT) or CBT enriched with emotion regulation training (ENCERT).

Results: We identified three subgroups of patients with similar symptom change patterns over the course of treatment (a "no change," "strong response," and "slow change" subgroup).

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Objective: A considerable amount of patients with somatoform disorders do not benefit from psychotherapy as much as expected. Our aim was to explore whether readiness to change moderates the relationship between the intensity of symptoms and therapy outcome in the early stages of psychotherapy.

Method: 144 patients with somatoform disorders received an outpatient cognitive-behavioural intervention.

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Several different approaches have been applied to identify early positive change in response to psychotherapy so as to predict later treatment outcome and length as well as use this information for outcome monitoring and treatment planning. In this study, simple methods based on clinically significant change criteria and computationally demanding growth mixture modeling (GMM) are compared with regard to their overlap and uniqueness as well as their characteristics in terms of initial impairment, therapy outcome, and treatment length. The GMM approach identified a highly specific subgroup of early improving patients.

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Systems providing feedback on treatment progress have been implemented in outpatient psychotherapy. They are recognized as a helpful tool to identify possible treatment failures. This report presents the ideas underlying the planning of feedback interventions and the implementation of such programs into practice settings.

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Introduction: It is internationally agreed that diabetes mellitus (DM) is associated with increased maternal and fetal morbidity and long-term complications. To avoid these complications, it is often necessary to induce birth before term. The impact of DM on spontaneous preterm birth (spontaneous labor, preterm premature rupture of membranes and/or cervical incompetence resulting in delivery before the completion of 37 gestation weeks) is still unexplained.

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Background: While highlighting the efficacy of different treatments for major depressive disorders (MDD), findings of the National Institute of Mental Health (NIMH) Treatment of Depression Collaborative Research Program (TDCRP) often are interpreted as supporting the idea of treatment non-specificity for MDD. However, heterogeneity in treatment courses and outcomes might be undetected when focusing only on types of treatment in terms of sample means without taking into account early change in treatment.

Method: In this study, growth mixture models (GMM) were used in the completer sample of N=162 patients from the NIMH TDCRP to identify meaningful patterns of early change of depression severity that are shared by many individual patients.

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