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      Predictors of post-stroke depression: Validation of established risk factors and introduction of a dynamic perspective in two longitudinal studies

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          Abstract

          Introduction

          Cerebral insults lead in many cases not only to cognitive impairment but also to disturbed emotionality. After stroke, one in three survivors develops a depression which impacts quality of life and rehabilitation. Meta-analyses have identified five main predictors of post-stroke depression (PSD): history of mental disorder, stroke severity, physical disability, cognitive impairment, and social support. However, these five established variables have never been conjointly investigated in a sample of stroke survivors. Therefore, their independent predictive values remain unclear. Moreover, predictors are most often used as time-invariant factors (status scores), neglecting the intraindividual dynamics after stroke.

          Methods

          Our study analyses the data of two prospective longitudinal studies, investigating stroke survivors from two rehabilitation hospitals ( N 1 = 273) and one acute care hospital ( N 2 = 226). Baseline assessments included the five established predictors and depressive symptoms. After 6 months, depressive symptoms were reassessed in both studies ( n 1 = 176, n 2 = 183), and physical disability and social support were reassessed in study 2. The predictivity of the five predictors and the additional predictivity of intraindividual dynamics for PSD were examined in multiple linear regression analyses.

          Results

          History of mental disorder was a risk factor for depressive symptoms after stroke at all measurement times ( B = 3.32 to 3.97; p < 0.01). Physical disability was a risk factor at all measurement times ( B = −0.09 to −0.03; p < 0.05) except 6 months after rehabilitation. Social support was a protective factor ( B = −2.69 to −1.91; p < 0.01) outside the acute phase ( R 2 = 0.15–0.39). Intraindividual changes in physical disability and perceived social support were independent predictors of PSD 6 months after the acute phase ( B = −0.08/−0.14; p < 0.01), in addition to status scores on established variables (Δ R 2 = 0.08, p < 0.001).

          Discussion

          History of mental disorder, physical disability, and social support are independent predictors of depressive symptoms in the first year post-stroke, also when considered conjointly. Future studies should control for these variables when investigating new predictors of PSD. In addition, intraindividual changes in known predictors after stroke play a relevant role in the pathogenesis of PSD and should be considered in clinical practice and future research.

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          Most cited references60

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          “Mini-mental state”

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            Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire.

            The Primary Care Evaluation of Mental Disorders (PRIME-MD) was developed as a screening instrument but its administration time has limited its clinical usefulness. To determine if the self-administered PRIME-MD Patient Health Questionnaire (PHQ) has validity and utility for diagnosing mental disorders in primary care comparable to the original clinician-administered PRIME-MD. Criterion standard study undertaken between May 1997 and November 1998. Eight primary care clinics in the United States. Of a total of 3000 adult patients (selected by site-specific methods to avoid sampling bias) assessed by 62 primary care physicians (21 general internal medicine, 41 family practice), 585 patients had an interview with a mental health professional within 48 hours of completing the PHQ. Patient Health Questionnaire diagnoses compared with independent diagnoses made by mental health professionals; functional status measures; disability days; health care use; and treatment/referral decisions. A total of 825 (28%) of the 3000 individuals and 170 (29%) of the 585 had a PHQ diagnosis. There was good agreement between PHQ diagnoses and those of independent mental health professionals (for the diagnosis of any 1 or more PHQ disorder, kappa = 0.65; overall accuracy, 85%; sensitivity, 75%; specificity, 90%), similar to the original PRIME-MD. Patients with PHQ diagnoses had more functional impairment, disability days, and health care use than did patients without PHQ diagnoses (for all group main effects, P<.001). The average time required of the physician to review the PHQ was far less than to administer the original PRIME-MD (<3 minutes for 85% vs 16% of the cases). Although 80% of the physicians reported that routine use of the PHQ would be useful, new management actions were initiated or planned for only 117 (32%) of the 363 patients with 1 or more PHQ diagnoses not previously recognized. Our study suggests that the PHQ has diagnostic validity comparable to the original clinician-administered PRIME-MD, and is more efficient to use.
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              R: A Language and Environment for Statistical Com- puting

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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                13 February 2023
                2023
                : 14
                : 1093918
                Affiliations
                [1] 1Clinical Neuropsychology and Psychotherapy, Department of Psychology, Faculty of Psychology and Sport Science, Universität Bielefeld , Bielefeld, Germany
                [2] 2Department of Neurology, Klinikum Ernst von Bergmann , Potsdam, Germany
                [3] 3Department of Neurology, Heinrich-Heine-Universität , Düsseldorf, Germany
                [4] 4Clinical Psychology I, Department of Psychology, Faculty of Human Sciences, Universität Kassel , Kassel, Germany
                Author notes

                Edited by: Guido Gainotti, Agostino Gemelli University Polyclinic (IRCCS), Italy

                Reviewed by: Julian Packheiser, Ruhr University Bochum, Germany; Thibaut Dondaine, Université de Lille, France

                *Correspondence: Simon Ladwig ✉ simon.ladwig@ 123456uni-bielefeld.de

                This article was submitted to Neuroimaging, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2023.1093918
                9969555
                36860505
                b331318d-3d35-4baa-8fe2-0934251d4711
                Copyright © 2023 Ladwig, Werheid, Südmeyer and Volz.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 November 2022
                : 30 January 2023
                Page count
                Figures: 2, Tables: 1, Equations: 0, References: 60, Pages: 10, Words: 8764
                Funding
                Funded by: Universität Bielefeld, doi 10.13039/501100005721;
                Funded by: Universität Kassel, doi 10.13039/501100012687;
                Funded by: Humboldt-Universität zu Berlin, doi 10.13039/501100006211;
                The authors received funds for open access publication fees from Universität Bielefeld (Department of Psychology, Clinical Neuropsychology and Psychotherapy) and Universität Kassel (Department of Psychology, Clinical Psychology). During the implementation of the Berlin PSD study, MV was supported by the Humboldt University Structured Graduate Programme (Self-Regulation Dynamics Across Adulthood and Old Age). The funding sources had no role in the planning, implementation or writing of this research or manuscript.
                Categories
                Psychiatry
                Original Research

                Clinical Psychology & Psychiatry
                stroke,depression,dynamic risk factors,multivariable analysis,prospective longitudinal

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