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      Chronic obstructive pulmonary disease in severe mental illness: A timely diagnosis to advance the process of quitting smoking

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          Abstract

          Background

          This study has two main objectives: to describe the prevalence of undetected chronic obstructive pulmonary disease (COPD) in a clinical sample of smokers with severe mental illness (SMI), and to assess the value of the Tobacco Intensive Motivational Estimated Risk tool, which informs smokers of their respiratory risk and uses brief text messages to reinforce intervention.

          Method

          A multicenter, randomized, open-label, and active-controlled clinical trial, with a 12-month follow-up. Outpatients with schizophrenia (SZ) and bipolar disorder were randomized either to the experimental group—studied by spirometry and informed of their calculated lung age and degree of obstruction (if any)—or to the active control group, who followed the 5 A’s intervention.

          Results

          The study sample consisted of 160 patients (71.9% SZ), 78.1% of whom completed the 12-month follow-up. Of the patients who completed the spirometry test, 23.9% showed evidence of COPD (77.8% in moderate or severe stages). TIMER was associated with a significant reduction in tobacco use at week 12 and in the long term, 21.9% of patients reduced consumption and 14.6% at least halved it. At week 48, six patients (7.3%) allocated to the experimental group achieved the seven-day smoking abstinence confirmed by CO (primary outcome in terms of efficacy), compared to three (3.8%) in the control group.

          Conclusion

          In this clinical pilot trial, one in four outpatients with an SMI who smoked had undiagnosed COPD. An intensive intervention tool favors the early detection of COPD and maintains its efficacy to quit smoking, compared with the standard 5 A’s intervention.

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          Most cited references60

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease 2017 Report. GOLD Executive Summary

            American Journal of Respiratory and Critical Care Medicine, 195(5), 557-582
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              Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis.

              Despite the potential importance of understanding excess mortality among people with mental disorders, no comprehensive meta-analyses have been conducted quantifying mortality across mental disorders.
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                Author and article information

                Journal
                Eur Psychiatry
                Eur Psychiatry
                EPA
                European Psychiatry
                Cambridge University Press (Cambridge, UK )
                0924-9338
                1778-3585
                2021
                26 February 2021
                : 64
                : 1
                : e22
                Affiliations
                [1 ]Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC) , Córdoba, Spain
                [2 ]Departamento de Ciencias Morfológicas y Sociosanitarias, Universidad de Córdoba , Córdoba, Spain
                [3 ]Unidad de Gestión Clínica de Neumología, Hospital Universitario Reina Sofía , Córdoba, Spain
                [4 ]Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía , Córdoba, Spain
                [5 ]Unidad de Gestión Clínica de Salud Mental, Complejo Hospitalario de Jaén , Jaén Spain
                [6 ]Unidad de Gestión Clínica de Salud Mental, Hospital Infanta Margarita , Cabra, Spain
                [7 ]Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Área de gestión de la investigación , Córdoba, Spain
                [8 ]Grupo de Investigación Psiquiatría y Neurociencias (CTS-549), Instituto de Neurociencias, Universidad de Granada , Granada, Spain
                [9 ]Psychiatry Department, School of Medicine, University of Valladolid , Valladolid, Spain; Psychiatry Service, Clinical Hospital of Valladolid, Valladolid, Spain
                [10 ]Neurosciences Institute of Castilla y Leon (INCYL), University of Salamanca , Salamanca, Spain; Instituto de Investigacion Biomedica de Salamanca (IBSAL) , Salamanca, Spain
                [11 ]CIBERSAM (Biomedical Research Network in Mental Health), Instituto de Salud Carlos III , Madrid, Spain
                [12 ]Instituto de Investigación Biomédica de Salamanca (IBSAL) , Salamanca, Spain
                [13 ]Faculty of Medicine and Health Sciences—Psychiatry, Universidad de Oviedo, ISPA, INEUROPA, CIBERSAM , Oviedo, Spain
                [14 ]Unitat Docent de Psiquiatría i Psicología Médica, Departament de Medicina, Universitat de València, CIBERSAM , Valencia, Spain
                [15 ]Unidad de Gestión Clínica de Medicina Familiar y Comunitaria, Hospital Universitario Reina Sofía , Córdoba, Spain
                [16 ]Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM , Oviedo, Spain
                Author notes
                [* ]Vicent Balanzá Martínez, E-mail: vicente.balanza@ 123456uv.es
                Author information
                https://orcid.org/0000-0003-0905-901X
                https://orcid.org/0000-0003-3455-4880
                https://orcid.org/0000-0003-0082-2189
                https://orcid.org/0000-0003-2187-4033
                https://orcid.org/0000-0001-7772-7396
                Article
                S0924933821000122
                10.1192/j.eurpsy.2021.12
                8057420
                33632347
                6e38ca06-299c-4403-9d42-195a3038ef0e
                © The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association 2021

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence ( http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial reuse or in order to create a derivative work.

                History
                : 28 October 2020
                : 12 January 2021
                : 09 February 2021
                Page count
                Figures: 2, Tables: 4, References: 60, Pages: 11
                Categories
                Research Article

                Clinical Psychology & Psychiatry
                bipolar disorder,copd,early detection,schizophrenia,smoking
                Clinical Psychology & Psychiatry
                bipolar disorder, copd, early detection, schizophrenia, smoking

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