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Development of a Psychosocial Intervention to Promote Treatment Adherence in Patients with Bipolar Disorder at Risk of Cardiovascular Disease. J Clin Med 2021; 10:jcm10245890. [PMID: 34945185 PMCID: PMC8706673 DOI: 10.3390/jcm10245890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/09/2021] [Accepted: 12/11/2021] [Indexed: 11/17/2022] Open
Abstract
Nonadherence to treatment is a serious concern that affects the successful management of bipolar disorder (BD) patients. The aim of this study was to pilot test a psychosocial intervention (previously developed by this team) intended to increase adherence to medication and health behaviors targeting cardiovascular disease (CVD) risk factors in BD patients. An open, single-group design was used to assess the feasibility and acceptability of the intervention. The participants had BD, type I/II or unspecified, and CVD risk factors. Baseline demographic measures were taken. We also obtained preliminary effect sizes related to pre-post changes on measures of self-reported adherence to psychiatric medication, depressive and manic symptoms, and pharmacy records. At baseline, 29% of the participants reported recent adherence to psychiatric medications. A total of 71% of the participants completed the intervention. Pre-post improvements by medium and large effect sizes (Cohen’s d = 0.52–0.92) were seen in medication adherence, attitudes toward medication, and mania symptoms. The participants reported high levels of satisfaction with the intervention. A culturally sensitive psychosocial intervention for Puerto Rican BD patients who are at risk of CVD was found to be feasible and acceptable. Improvements in the key outcomes were seen in this small, preliminary study. Further research is needed with a larger sample size.
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Hernández-Gómez A, Andrade-González N, Lahera G, Vieta E. Recommendations for the care of patients with bipolar disorder during the COVID-19 pandemic. J Affect Disord 2021; 279:117-121. [PMID: 33045553 PMCID: PMC7834434 DOI: 10.1016/j.jad.2020.09.105] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 09/15/2020] [Accepted: 09/25/2020] [Indexed: 12/19/2022]
Abstract
In recent months, there has been a rapid spread of coronavirus disease (COVID-19), being now regarded as a global pandemic. In this context, the governments of different countries have established strict containment measures, and subsequent deconfinement measures, with consequential alterations in the rhythms and living habits of the population, including patients with bipolar disorder (BD), who are in an extremely vulnerable situation. The present paper aims to propose a number of recommendations, based on scientific evidence, for mental health professionals who may be in charge of BD patients during this health crisis in the coming months. Among these recommendations, careful monitoring of pharmacological treatment, reinforcing medication adherence, and surveillance of drug-drug interaction risk in cases where the patient is being treated for COVID-19 are of utmost importance.
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Affiliation(s)
| | - Nelson Andrade-González
- Relational Processes and Psychotherapy Research Group, Faculty of Medicine and Health Sciences, University of Alcalá, Alcalá de Henares, Madrid, Spain
| | - Guillermo Lahera
- Faculty of Medicine and Health Sciences, University of Alcalá, Alcalá de Henares, Madrid, Spain; IRyCIS, CIBERSAM, Madrid, Spain; Príncipe de Asturias University Hospital, Alcalá de Henares, Madrid, Spain.
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
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Fernández Guijarro S, Miguel García C, Pomarol-Clotet E, Egea López EN, Burjales Martí MD, Rigol Cuadra MA. Metabolic Syndrome Screening in People With Severe Mental Illness: Results From Two Spanish Community Mental Health Centers. J Am Psychiatr Nurses Assoc 2020; 26:162-171. [PMID: 30741068 DOI: 10.1177/1078390319826686] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND: The excess of mortality in people with severe mental illness is due to unnatural causes such as accidents or suicides and natural causes such as metabolic syndrome. The presence of modifiable risk factors like tobacco consumption increases cardiovascular and metabolic risk. AIMS: The purpose of this study was to identify the prevalence of metabolic syndrome and other cardiovascular risk factors in people with severe mental illness. This study also aimed to identify the prevalence of patients receiving treatment for any metabolic syndrome risk factor. METHOD: A cross-sectional descriptive study was performed. A total of 125 participants from two community mental health centers in Spain were recruited. RESULTS: More than half of the participants (58.4%) were active smokers. The prevalence of metabolic syndrome was 60%. A total of 16.8% received previous treatment for hypertension, 17.6% for hypertriglyceridemia, and 11.2% for diabetes. No differences were found between centers (22.7% vs. 18.7%, p = .9). CONCLUSIONS: The findings underscore the importance of monitoring the physical health of patients on antipsychotic therapy. The identification and management of cardiovascular and metabolic risks factors is an essential part of nursing care for people with severe mental illness. Mental health nurses are ideally positioned to carry out this task by performing physical health screening, health education, and lifestyle interventions.
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Affiliation(s)
| | | | - Edith Pomarol-Clotet
- Edith Pomarol-Clotet, MD, PhD, FIDMAG Hermanas Hospitalarias Research Foundation, Barcelona, Spain
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Fernández Guijarro S, Pomarol-Clotet E, Rubio Muñoz MC, Miguel García C, Egea López E, Fernández Guijarro R, Castán Pérez L, Rigol Cuadra MA. Effectiveness of a community-based nurse-led lifestyle-modification intervention for people with serious mental illness and metabolic syndrome. Int J Ment Health Nurs 2019; 28:1328-1337. [PMID: 31411375 DOI: 10.1111/inm.12644] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/21/2019] [Indexed: 11/29/2022]
Abstract
The development of metabolic syndrome negatively affects the quality of life of people with serious mental illness. Experts agree on the need to evaluate the physical health of patients and intervene in modifiable risk factors, with emphasis on the promotion of healthy lifestyles. Interventions should include nutritional counselling and physical activity. This 24-week randomized trial evaluated the effects of a community-based nurse-led lifestyle-modification intervention in people with serious mental illness meeting metabolic syndrome criteria, and its impact on health-related quality of life and physical activity. Sixty-one participants from two community mental health centres were randomly assigned to the intervention or control group. The intervention consisted of weekly group sessions, with 20 min of theoretical content and 60 min of nurse-led physical activity. Postintervention results between groups showed no differences in weight, waist circumference, fasting glucose, and systolic blood pressure. Differences in body mass index, triglyceride concentrations, and diastolic blood pressure were found to be significant (P = 0.010, P = 0.038, and P = 0.017). Participants who performed the intervention reported an increase in physical activity, which did not occur in the control group (P = 0.035), and also reported better health status (P < 0.001). Our intervention showed positive effects reducing participants' cardiovascular and metabolic risks and improving their physical activity and quality of life. To our knowledge, this is the first clinical trial led and carried out by mental health nurses in community mental health centres which takes into account the effects of a lifestyle intervention on every metabolic syndrome criterion, health-related quality of life, and physical activity.
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Jaén-Moreno MJ, Feu N, Redondo-Écija J, Montiel FJ, Gómez C, Del Pozo GI, Alcalá JÁ, Gutiérrez-Rojas L, Balanzá-Martinez V, Chauca GM, Carrión L, Osuna MI, Sánchez MD, Caro I, Ayora M, Valdivia F, López MS, Poyato JM, Sarramea F. Smoking cessation opportunities in severe mental illness (tobacco intensive motivational and estimate risk - TIMER-): study protocol for a randomized controlled trial. Trials 2019; 20:47. [PMID: 30642365 PMCID: PMC6332915 DOI: 10.1186/s13063-018-3139-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 12/15/2018] [Indexed: 01/19/2023] Open
Abstract
Background There is an increased risk of premature death in people with severe mental illness (SMI). Respiratory disorders and cardiovascular disease are leading causes of increased mortality rates in these patients, and tobacco consumption remains the most preventable risk factor involved. Developing new tools to motivate patients towards cessation of smoking is a high priority. Information on the motivational value of giving the lung age and prevention opportunities is unknown in this high-risk population. Methods/design This article describes in detail a protocol developed to evaluate an intensive motivational tool, based on the individual risks of pulmonary damage and prevention opportunities. It is designed as a randomized, 12-month, follow-up, multicenter study. A minimum of 204 smokers will be included, aged 40 years and older, all of whom are patients diagnosed with either schizophrenia or bipolar disorder (BD). Chronic obstructive pulmonary disease (COPD) will be evaluated using spirometry, and the diagnosis will then be validated by a pneumologist and the lung age estimated. Based on this value, a motivational message about prevention will be issued for the intervention group, which will be reinforced by individualized text messages over a period of 3 months. The efficacy of the method and the pulmonary damage variables will be evaluated: smoking cessation at the end of follow-up will be confirmed by cooximetry, and the COPD diagnosis and the severity of the staging for disease will be assessed. Discussion In the context of community care, screening and early detection of lung damage could potentially be used, together with mobile technology, in order to produce a prevention message, which may provide patients with SMI with a better chance of quitting smoking. Trial registration ClinicalTrials.gov, ID: NCT03583203. Registered on 11 July 2018. Trial status: recruitment.
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Affiliation(s)
- María José Jaén-Moreno
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.,Departamento de Ciencias Sociosanitarias, Radiología y Medicina Física, Universidad de Córdoba, Córdoba, Spain
| | - Nuria Feu
- Unidad de Gestión Clínica de Neumología, Hospital Universitario Reina Sofía, Córdoba, Spain
| | - Justa Redondo-Écija
- Unidad de Drogas y Adicciones, Instituto Provincial de Bienestar Social, Diputación de Córdoba, Córdoba, Spain
| | | | - Cristina Gómez
- Unidad de Gestión Clínica de Salud Mental, Complejo Hospitalario de Jaén, Córdoba, Spain
| | - Gloria I Del Pozo
- Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía, Avenida Menéndez Pidal s/n 14014, Córdoba, Spain
| | - Jose Ángel Alcalá
- Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía, Avenida Menéndez Pidal s/n 14014, Córdoba, Spain
| | - Luis Gutiérrez-Rojas
- Grupo de Investigación Psiquiatría y Neurociencias (CTS-549), Instituto de Neurociencias, Universidad de Granada, Granada, Spain
| | - Vicente Balanzá-Martinez
- Área de Psiquiatría y Psicología Médica. Departamento de Medicina, Servicio de Psiquiatría, Universidad de Valencia, CIBERSAM, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Geli Marie Chauca
- Unidad de Gestión Clínica de Salud Mental, Hospital Infanta Margarita, Cabra, Spain
| | - Laura Carrión
- Unidad de Gestión Clínica de Salud Mental, Hospital Infanta Margarita, Cabra, Spain
| | - Maria Isabel Osuna
- Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - María Dolores Sánchez
- Unidad de Gestión Clínica de Salud Mental, Complejo Hospitalario de Jaén, Córdoba, Spain
| | - Inmaculada Caro
- Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Miriam Ayora
- Unidad de Psiquiatría del niño y del adolescente, Hospital Universitario Gregorio Marañón, Madrid, Spain
| | - Francisca Valdivia
- Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía, Avenida Menéndez Pidal s/n 14014, Córdoba, Spain
| | - María Soledad López
- Unidad de Gestión Clínica de Salud Mental, Hospital Infanta Margarita, Cabra, Spain
| | - Jose Manuel Poyato
- Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía, Avenida Menéndez Pidal s/n 14014, Córdoba, Spain
| | - Fernando Sarramea
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain. .,Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía, Avenida Menéndez Pidal s/n 14014, Córdoba, Spain. .,Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, 33006, Oviedo, Spain.
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Salagre E, Arango C, Artigas F, Ayuso-Mateos JL, Bernardo M, Castro-Fornieles J, Bobes J, Desco M, Fañanás L, González-Pinto A, Haro JM, Leza JC, Mckenna PJ, Meana JJ, Menchón JM, Micó JA, Palomo T, Pazos Á, Pérez V, Saiz-Ruiz J, Sanjuán J, Tabarés-Seisdedos R, Crespo-Facorro B, Casas M, Vilella E, Palao D, Olivares JM, Rodriguez-Jimenez R, Vieta E. CIBERSAM: Ten years of collaborative translational research in mental disorders. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2018; 12:1-8. [PMID: 30416047 DOI: 10.1016/j.rpsm.2018.10.001] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 10/15/2018] [Accepted: 10/15/2018] [Indexed: 01/08/2023]
Affiliation(s)
- Estela Salagre
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría y Psicología, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España
| | - Celso Arango
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón (IiSGM), Facultad de Medicina, Universidad Complutense, CIBERSAM, Madrid, España
| | - Francesc Artigas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Neuroquímica y Neurofarmacología, Institut d'Investigacions Biomèdiques de Barcelona IIBB-CSIC, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España
| | - José Luis Ayuso-Mateos
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Universidad Autónoma de Madrid, Madrid, España
| | - Miquel Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Unidad Esquizofrenia Clínic, Institut Clínic de Neurociencias, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España
| | - Josefina Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría y Psicología Infantil y Juvenil, Institut Clínic de Neurociencias, IDIBAPS, Hospital Clínic de Barcelona, Barcelona, España
| | - Julio Bobes
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Área de Psiquiatría, Universidad de Oviedo, Servicio de Salud del Principado de Asturias, Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Asturias, España
| | - Manuel Desco
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Instituto de Investigación Sanitaria Gregorio Marañón, Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, España
| | - Lourdes Fañanás
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Secció Zoologia i Antropologia Biològica, Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, España
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Hospital Universitario Araba, Instituto de Investigación Sanitaria Bioaraba; Universidad del País Vasco, Vitoria, España
| | - Josep María Haro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Sant Boi de Llobregat, Barcelona, España
| | - Juan Carlos Leza
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Farmacología, Facultad de Medicina, Universidad Complutense de Madrid, Instituto Universitario de Investigación en Neuroquímica UCM, Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), Madrid, España
| | - Peter J Mckenna
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; FIDMAG Germanes Hospitalàries Research Foundation, Sant Boi de Llobregat, Barcelona, España
| | - José Javier Meana
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Farmacología, Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Leioa, Bizkaia, Instituto de Investigación Sanitaria Biocruces Bizkaia, Barakaldo, Barakaldo, Bizkaia, España
| | - José Manuel Menchón
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría, Hospital Universitari de Bellvitge, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat; Departamento de Ciencias Clínicas, Universitat de Barcelona, Barcelona, España
| | - Juan Antonio Micó
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Grupo de Investigación en Neuropsicofarmacología y Psicobiología,, Departamento de Neurociencias, Universidad de Cádiz, Instituto de Investigación e Innovación en Ciencias Biomédicas de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, Cádiz, España
| | - Tomás Palomo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Hospital 12 de Octubre, Madrid, España
| | - Ángel Pazos
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Fisiología y Farmacología, Facultad de Medicina, Universidad de Cantabria, Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Universidad de Cantabria-CSIC-SODERCAN, Santander, Cantabria, España
| | - Víctor Pérez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Universitat Autònoma de Barcelona, Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, España
| | - Jerónimo Saiz-Ruiz
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Hospital Ramon y Cajal, Universidad de Alcalá, IRYCIS, Madrid, España
| | - Julio Sanjuán
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; INCLIVA, Universidad de Valencia, Hospital Clínico Universitario de Valencia, Valencia, España
| | - Rafael Tabarés-Seisdedos
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Medicina, INCLIVA, Universidad de Valencia, Valencia, España
| | - Benedicto Crespo-Facorro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Medicina y Psiquiatría, Universidad de Cantabria, Hospital Universitario Marqués de Valdecilla, IDIVAL, Santander, Cantabria, España
| | - Miquel Casas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría, Hospital Universitari Vall d'Hebron, Departamento de Psiquiatría y Medicina Legal, Universitat Autònoma de Barcelona, Barcelona, España
| | - Elisabet Vilella
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, Reus, Tarragona, España
| | - Diego Palao
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servei de Salut Mental, Parc Taulí Hospital Universitari, Institut de Recerca i Innovació Parc Taulí (I3PT), Universitat Autònoma de Barcelona, Sabadell, Barcelona, España
| | - Jose Manuel Olivares
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Unidad de Psiquiatría, Hospital Álvaro Cunqueiro, Complejo Hospitalario Universitario de Vigo, Instituto Biomédico Galicia Sur, Vigo, Pontevedra, España
| | - Roberto Rodriguez-Jimenez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), CogPsy-Group, Universidad Complutense de Madrid (UCM), Madrid, España
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría y Psicología, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España.
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Vieta E, Montes JM, Iborra P, Mozos A, Sáez C, Benabarre A. Management of asenapine treatment in clinical practice: Recommendations from a panel of experts. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2018; 12:163-169. [PMID: 29960863 DOI: 10.1016/j.rpsm.2018.03.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 02/19/2018] [Accepted: 03/09/2018] [Indexed: 01/28/2023]
Abstract
INTRODUCTION The choice of an antipsychotic should be based on bipolar disorder (BD) symptoms and the particular needs of each patient, as well as the adverse events potentially associated with treatment. Asenapine is an atypical antipsychotic indicated for the management of type-I BD, with distinct pharmacokinetic and receptor affinity profiles. MATERIAL AND METHODS Recommendations document developed by a panel of experts with extensive experience in the use of asenapine in psychiatric care, including emergency department, hospital, and outpatient care. Recommendations were discussed in a single meeting and were based on both the clinical experience of the panel of experts and the empirical evidence provided in the scientific literature. RESULTS The present document describes the patient profile that best suits the pharmacodynamic characteristics of asenapine, as well as the advantages and limitations of the pharmacokinetics associated with the sublingual route. The document also addresses the main safety issues of asenapine and suggests interventions aimed at mitigating the most frequent adverse reactions associated with asenapine treatment. Finally, the article provides advice on dosing and overall management of asenapine treatment, including the combination with other treatments and the switch from other antipsychotics to asenapine. CONCLUSIONS In this recommendations document, we provide clinicians with guidance on the use of asenapine in real-life practice, including the identification of patients who best suit the characteristics of this antipsychotic.
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Affiliation(s)
- Eduard Vieta
- Hospital Clínic, Universidad de Barcelona, IDIBAPS, CIBERSAM, Barcelona, España.
| | - José Manuel Montes
- Hospital Universitario Ramón y Cajal, Universidad de Alcalá, CIBERSAM, IRYCIS, Madrid, España
| | - Pedro Iborra
- Hospital Clínico Universitario de San Juan de Alicante, Sant Joan d'Alacant, Alicante, España
| | - Alfonso Mozos
- Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, La Coruña, España
| | - Cristina Sáez
- Hospital Psiquiàtric Universitari Institut Pere Mata, Reus, Tarragona, España
| | - Antonio Benabarre
- Hospital Clínic, Universidad de Barcelona, IDIBAPS, CIBERSAM, Barcelona, España
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Montejo ÁL, Arango C, Bernardo M, Carrasco JL, Crespo-Facorro B, Cruz JJ, Del Pino-Montes J, García-Escudero MA, García-Rizo C, González-Pinto A, Hernández AI, Martín-Carrasco M, Mayoral-Cleries F, Mayoral-van Son J, Mories MT, Pachiarotti I, Pérez J, Ros S, Vieta E. Multidisciplinary consensus on the therapeutic recommendations for iatrogenic hyperprolactinemia secondary to antipsychotics. Front Neuroendocrinol 2017; 45:25-34. [PMID: 28235557 DOI: 10.1016/j.yfrne.2017.02.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 02/15/2017] [Accepted: 02/17/2017] [Indexed: 01/08/2023]
Abstract
Hyperprolactinemia is an underappreciated/unknown adverse effects of antipsychotics. The consequences of hyperprolactinemia compromise therapeutic adherence and can be serious. We present the consensus recommendations made by a group of experts regarding the management of antipsychotic-induced hyperprolactinemia. The current consensus was developed in 3 phases: 1, review of the scientific literature; 2, subsequent round table discussion to attempt to reach a consensus among the experts; and 3, review by all of the authors of the final conclusions until reaching a complete consensus. We include recommendations on the appropriate time to act after hyperprolactinemia detection and discuss the evidence on available options: decreasing the dose of the antipsychotic drug, switching antipsychotics, adding aripiprazole, adding dopaminergic agonists, and other type of treatment. The consensus also included recommendations for some specific populations such as patients with a first psychotic episode and the pediatric-youth population, bipolar disorder, personality disorders and the elderly population.
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Affiliation(s)
- Ángel L Montejo
- Neurosciences Area, Instituto de Biomedicina de Salamanca (IBSAL), University of Salamanca, Psychiatry Department, University Hospital of Salamanca, Salamanca, Spain.
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), IiSGM, School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Miquel Bernardo
- Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - José L Carrasco
- Instituto de Investigación Sanitaria, Hospital Clínico San Carlos, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Benidicto Crespo-Facorro
- Department of Medicine & Psychiatry, University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
| | - Juan J Cruz
- Department of Medical Oncology, Instituto de Biomedicina de Salamanca (IBSAL), University of Salamanca, University Hospital of Salamanca, Salamanca, Spain
| | | | | | - Clemente García-Rizo
- Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Ana González-Pinto
- International Mood Disorders Research Centre, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Hospital Santiago Apóstol, University of the Basque Country, Vitoria, Spain
| | - Ana I Hernández
- FEA Psiquiatría, Red de Salud Mental de Guipúzcoa, San Sebastián, Spain
| | - Manuel Martín-Carrasco
- Institute of Psychiatric Research, Mª Josefa Recio Foundation, Bilbao, Spain; Psychiatry Clinic Padre Menni, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Pamplona, Spain
| | - Fermín Mayoral-Cleries
- University Regional Hospital of Malaga, Biomedical Research Institute (IBIMA), Malaga, Spain
| | | | - M Teresa Mories
- Endocrinology and Nutrition Department, University Hospital of Salamanca, Salamanca, Spain
| | - Isabella Pachiarotti
- Bipolar Disorders Program, Psychiatry Department, Hospital Clinic, University of Barcelona, IDIBAPS, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Jesús Pérez
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Salvador Ros
- International Institute of Applied Neurosciences, Barcelona, Spain
| | - Eduard Vieta
- Bipolar Disorders Program, Psychiatry Department, Hospital Clinic, University of Barcelona, IDIBAPS, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
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9
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Franch Pato CM, Molina Rodríguez V, Franch Valverde JI. Síndrome metabólico y antipsicóticos atípicos. Posibilidad de predicción y control. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2017; 10:38-44. [DOI: 10.1016/j.rpsm.2016.09.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 09/02/2016] [Accepted: 09/27/2016] [Indexed: 12/19/2022]
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10
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Foguet-Boreu Q, Fernandez San Martin MI, Flores Mateo G, Zabaleta Del Olmo E, Ayerbe García-Morzon L, Perez-Piñar López M, Martin-López LM, Montes Hidalgo J, Violán C. Cardiovascular risk assessment in patients with a severe mental illness: a systematic review and meta-analysis. BMC Psychiatry 2016; 16:141. [PMID: 27176477 PMCID: PMC4866037 DOI: 10.1186/s12888-016-0833-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 04/25/2016] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Cardiovascular risk (CVR) has been observed to be higher in patients with severe mental illness (SMI) than in the general population. However, some studies suggest that CVR is not equally increased in different subgroups of SMI. The purposes of this review are to summarise CVR scores of SMI patients and to determine the differences in CVR between patients with different SMIs and between SMI patients and the control-population. METHODS MEDLINE (via PubMed) was searched for literature published through August 28, 2014, followed by a snowball search in the Web of Science. Observational and experimental studies that reported CVR assessments in SMI patients using validated tools were included. The risk of bias was reported using STROBE and CONSORT criteria. Pooled continuous data were expressed as standardized mean differences (SMD) with 95% confidence intervals (CI). Two reviewers independently selected studies, extracted data and assessed methodological quality. RESULTS A total of 3,608 articles were identified, of which 67 full text papers were assessed for eligibility and 35 were finally included in our review, in which 12,179 psychiatric patients and 225,951 comparative patients had been assessed. The most frequent diagnoses were schizophrenia and related diagnoses (45.7%), depressive disorders (14.7%), SMI (11.4%) and bipolar disorders (8.6%). The most frequent CVR assessment tool used was the Framingham risk score. Subgroups analysis showed a higher CVR in schizophrenia than in depressive disorder or in studies that included patients with multiple psychiatric diagnoses (SMD: 0.63, 0.03, and 0.02, respectively). Six studies were included in the meta-analysis. Total overall CVR did not differ between SMI patients and controls (SMD: 0.35 [95% CI:-0.02 to 0.71], p = 0.06); high heterogeneity was observed (I (2) = 93%; p < 0.001). CONCLUSIONS The summary of results from studies that assessed CVR using validated tools in SMI patients did not find sufficient data (except for limited evidence associated with schizophrenia) to permit any clear conclusions about increased CVR in this group of patients compared to the general population. The systematic review is registered in PROSPERO CRD42013003898 .
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Affiliation(s)
- Quintí Foguet-Boreu
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Universitat Autònoma de Barcelona, Gran Via Corts Catalanes, 587 àtic, 08007, Barcelona, Spain.
- Department of Medical Sciences, School of Medicine, University of Girona, Emili Grahit, 77, 17071, Girona, Spain.
| | - Maria Isabel Fernandez San Martin
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Universitat Autònoma de Barcelona, Gran Via Corts Catalanes, 587 àtic, 08007, Barcelona, Spain
- Técnica de Salud ICS, Unitat Docent AFiC, Sardenya, 375, Entl., 08025, Barcelona, Spain
| | - Gemma Flores Mateo
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Universitat Autònoma de Barcelona, Gran Via Corts Catalanes, 587 àtic, 08007, Barcelona, Spain
| | - Edurne Zabaleta Del Olmo
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Universitat Autònoma de Barcelona, Gran Via Corts Catalanes, 587 àtic, 08007, Barcelona, Spain
- Faculty of Nursing, University of Girona, Emili Grahit, 77, 17071, Girona, Spain
| | - Luís Ayerbe García-Morzon
- The Westborough Road Health Centre, 258 Westborough Road, Westcliff-on-Sea, SS0 9PT, United Kingdom
- Centre of Primary Care and Public Health, Queen Mary University of London, Yvone Carter Building 58 Tuner Street, E1 2AB, London, United Kingdom
| | - Maria Perez-Piñar López
- The Westborough Road Health Centre, 258 Westborough Road, Westcliff-on-Sea, SS0 9PT, United Kingdom
| | - Luis Miguel Martin-López
- Departamento de Psiquiatría y Medicina Legal, Instituto de Neuropsiquiatría y Adicciones (INAD), Hospital del Mar Parc de Salut Mar., Universidad Autónoma de Barcelona, Passeig Marítim 25-29, 08003, Barcelona, Spain
| | - Javier Montes Hidalgo
- Gimbernat School of Nursing, Universitat Autònoma de Barcelona, Avinguda de la Generalitat, 202-206, Sant Cugat del Vallès, 08174, Barcelona, Spain
| | - Concepción Violán
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Universitat Autònoma de Barcelona, Gran Via Corts Catalanes, 587 àtic, 08007, Barcelona, Spain
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Consenso español de salud física del paciente con depresión. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2014; 7:195-207. [DOI: 10.1016/j.rpsm.2014.05.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2014] [Revised: 04/23/2014] [Accepted: 05/08/2014] [Indexed: 01/01/2023]
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Garcia-Portilla MP, Garcia-Alvarez L, Saiz PA, Diaz-Mesa E, Galvan G, Sarramea F, Garcia-Blanco J, Elizagarate E, Bobes J. Effectiveness of a multi-component Smoking Cessation Support Programme (McSCSP) for patients with severe mental disorders: study design. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2013; 11:373-89. [PMID: 24368428 PMCID: PMC3924449 DOI: 10.3390/ijerph110100373] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2013] [Revised: 12/13/2013] [Accepted: 12/14/2013] [Indexed: 11/24/2022]
Abstract
Only a few studies have examined the efficacy and safety of smoking cessation programmes in patients with mental disorders. The aim of this paper is to describe in detail the methodology used in the study as well as the Multi-component Smoking Cessation Support Programme in terms of pharmacological treatments and psychological interventions. An open-label 9-month follow-up study was conducted in Spain. A total of 82 clinically stable outpatients with schizophrenia, schizoaffective or bipolar disorder were enrolled. Treatment consisted of a programme specifically developed by the research team for individuals with severe mental disorders. The programme consisted of two phases: (1) weekly individual motivational therapy for 4–12 weeks, and (2) a 12-week active treatment phase. During this phase, at each study visit patients received a one- or two-week supply of medication (transdermal nicotine patches, varenicline or bupropion) with instructions on how to take it, in addition to group psychotherapy for smoking cessation. Evaluations were performed: (1) at the time of enrolment in the study, (2) during the 12-week active treatment phase of the study (weekly for the first 4 weeks and then biweekly), and (3) after the end of this phase (two follow-up assessments at weeks 12 and 24). Evaluations included: (1) smoking history, (2) substance use, (3) psychopathology, (4) adverse events, and (5) laboratory tests. The importance of this study lies in addressing a topical issue often ignored by psychiatrists: the unacceptably high rates of tobacco use in patients with severe mental disorders.
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Affiliation(s)
- Maria Paz Garcia-Portilla
- Departmento de Psiquiatría, Universidad de Oviedo, 33006 Oviedo, Spain; E-Mails: (M.P.G.-P.); (J.B.)
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Universidad de Oviedo, 33006 Oviedo, Spain; E-Mails: (L.G.-A.); (E.D.-M.)
| | - Leticia Garcia-Alvarez
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Universidad de Oviedo, 33006 Oviedo, Spain; E-Mails: (L.G.-A.); (E.D.-M.)
| | - Pilar Alejandra Saiz
- Departmento de Psiquiatría, Universidad de Oviedo, 33006 Oviedo, Spain; E-Mails: (M.P.G.-P.); (J.B.)
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Universidad de Oviedo, 33006 Oviedo, Spain; E-Mails: (L.G.-A.); (E.D.-M.)
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +34-985-103-552; Fax: +34-985-103-553
| | - Eva Diaz-Mesa
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Universidad de Oviedo, 33006 Oviedo, Spain; E-Mails: (L.G.-A.); (E.D.-M.)
| | - Gonzalo Galvan
- Universidad Nacional de la Patagonia Austral, Puerto San Julián, 9310 Santa Cruz, Argentina; E-Mail:
- Instituto Interuniversitario de Postgrado en Salud, Santa Rosa, 6300 La Pampa, Argentina
| | - Fernando Sarramea
- Complejo Hospitalario de Jaén, Equipo de Salud Mental de Andújar, 23740 Jaén, Spain; E-Mails: (F.S.); (J.G.-B.)
| | - Josefa Garcia-Blanco
- Complejo Hospitalario de Jaén, Equipo de Salud Mental de Andújar, 23740 Jaén, Spain; E-Mails: (F.S.); (J.G.-B.)
| | - Edorta Elizagarate
- Unidad de Psicosis Refractarias, Hospital Psiquiátrico de Álava, 01006 Vitoria, Spain; E-Mail:
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Universidad del País Vasco, 48940 Leioa-Bizkaia, Spain
| | - Julio Bobes
- Departmento de Psiquiatría, Universidad de Oviedo, 33006 Oviedo, Spain; E-Mails: (M.P.G.-P.); (J.B.)
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Universidad de Oviedo, 33006 Oviedo, Spain; E-Mails: (L.G.-A.); (E.D.-M.)
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Bravo MF, Lahera G, Lalucat L, Fernández-Liria A. Guía de práctica clínica sobre el trastorno bipolar: tratamiento farmacológico y psicosocial. Med Clin (Barc) 2013; 141:305.e1-305.e10. [DOI: 10.1016/j.medcli.2013.05.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2013] [Revised: 05/01/2013] [Accepted: 05/02/2013] [Indexed: 10/26/2022]
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Gutiérrez Fraile M, de la Gándara Martín JJ, Bobes García J. Switching to ziprasidone in the clinical practice setting: an open-label study. Int J Psychiatry Med 2013; 45:125-42. [PMID: 23977817 DOI: 10.2190/pm.45.2.c] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE This observational study evaluates the long-term outcome of switching to ziprasidone in patients with schizophrenia in the clinical practice setting. METHODS Patients (208) with schizophrenia who had been switched to ziprasidone monotherapy due to partial response or tolerability problems were followed for 1 year. Efficacy was assessed at baseline and months 1, 3, and 12 with Brief Psychiatric Rating Scale (BPRS), Clinical Global Impression-severity (CGI-S), and CGI-improvement. Quality of life, functionality, and safety measures, including metabolic parameters, were also assessed; 195 subjects comprised the per protocol analysis population. RESULTS A reduction > or = 30% in BPRS total score was observed in 42.5% of the subjects. Mean scores of the BPRS (global and positive and negative clusters), CGI-S and CGI-I significantly decreased at endpoint (p < 0.001). Ziprasidone treatment was also associated with statistically significant improvements in the GAF, WHO-DAS-II, and SF-12. After 1-year follow-up, a mean weight decrease of -1.6 kg (p < 0.05) was observed. Mean levels of LDL cholesterol and triglycerides also decreased (p < 0.01) while HDL cholesterol levels increased (p < 0.05) at endpoint. No significant changes in mean glucose levels at study end were detected. CONCLUSION These findings suggest that switching to ziprasidone is effective and well tolerated in patients with schizophrenia requiring a change in antipsychotic medication.
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Affiliation(s)
- Miguel Gutiérrez Fraile
- Servicio de Psiquiatría, Hospital Santiago Apóstol, Universidad País Vasco, Vitoria Gasteiz.
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15
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Foguet Boreu Q, Roura Poch P, Bullón Chia A, Mauri Martin C, Gordo Serra N, Cecília Costa R. [Cardiovascular risk factors, cardiovascular risk and quality of life in patients with a severe mental disorder]. Aten Primaria 2013; 45:141-8. [PMID: 23200694 PMCID: PMC6985505 DOI: 10.1016/j.aprim.2012.10.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2012] [Revised: 10/10/2012] [Accepted: 10/13/2012] [Indexed: 12/30/2022] Open
Abstract
AIM To determine the cardiovascular risk factors (CVRF), level of cardiovascular risk (CVR) and to analyse the relationship between CVR and quality of life in patients with severe mental illness (SMI). DESIGN OF STUDY Cross sectional study. SETTING Mental Health Service, Consorci Hospitalari de Vic (Barcelona). SUBJECTS Patients over 18 years diagnosed with SMI. MAIN MEASUREMENTS Data was collected on, socio-demographic variables, toxic habits, previous pathologies, family history of premature cardiovascular disease, psychiatric diagnoses, physical parameters and laboratory findings. The CVR was determined by the SCORE and REGICOR scales. Quality of life was measured by Euro-QoL and Seville Questionnaires. RESULTS A total of 137 patients with SMI were included; 64.9% female, and a mean age 51.1 years (SD 12.9). Major CVRF distribution: 40.1% smoking, 37.9% hypertension, 56.2% dyslipidemia, and 11.1% diabetes. The criteria for obesity and metabolic syndrome were met by 37.9% and 48.4% of the patients, respectively. The average major CVRF was 1.5 factors. The CVR was high in 4.6% of the sample by SCORE and in 5.4% by REGICOR. Neither the patients who accumulated more CVRF or those with high CVR scores showed a worse quality of life. CONCLUSIONS The most prevalent CVRF in patients with SMI are smoking and dyslipidemia, with a prevalence that exceeded population-based studies. The subgroup of depressive disorders showed a higher CVR and worse quality of life. No relationships were found between the CVR and the quality of life.
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Al-Halabi S, Garcia-Portilla MP, Saiz PA, Fonseca E, Bobes-Bascaran MT, Galván G, Iglesias C, Arrojo M, Benabarre A, Goikolea JM, Sanchez E, Sarramea F, Bobes J. Psychometric properties of the Spanish version of the Body Weight, Image and Self-Esteem Evaluation Questionnaire in patients with severe mental disorders. Compr Psychiatry 2012; 53:1237-42. [PMID: 22578984 DOI: 10.1016/j.comppsych.2012.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2011] [Revised: 03/19/2012] [Accepted: 04/05/2012] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Clinicians need brief and valid instruments to monitor the psychosocial impact of weight gain in persons with psychiatric disorders. We examined the psychometric properties of the Spanish version of the Body Weight, Image and Self-Esteem Evaluation (B-WISE) questionnaire in patients with severe mental disorders. METHOD The data come from a naturalistic, cross-sectional, validation study conducted at 6 centres in Spain. A total of 211 outpatients with severe mental disorders, 118 with schizophrenia and 93 with bipolar disorder, were evaluated using the B-WISE, the Visual Analogue Scale for Weight and Body Image, and the Clinical Global Impression-Severity (CGI-S). The body mass index was also obtained. RESULTS The principal component analysis confirms 3 components explaining 50.93% of the variance. The Cronbach α values for B-WISE scales ranged between .55 and .73. Significant Pearson correlations were found between B-WISE total score and CGI-S (r = -0.25; P < .001) and Visual Analogue Scale for Weight and Body Image (r = 0.47; P < .001). The B-WISE discriminates among patients with mild, moderate, and severe mental disorders according to CGI-S scores (F = 6.52; P < .005). Body mass index categorization significantly influenced total B-WISE scores (F = 3.586, P < .050). The B-WISE score corresponding to the 5th and 10th percentiles was 22. CONCLUSIONS We were able to demonstrate that the Spanish version of the B-WISE is a valid instrument for assessing psychosocial impact of weight gain in patients with severe mental disorders in daily clinical practice.
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Affiliation(s)
- Susana Al-Halabi
- Department of Psychiatry, University of Oviedo. Centro de Investigación Biomédica en Red de Salud Mental, Oviedo, Spain.
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Chacón F, Mora F, Gervás-Ríos A, Gilaberte I. Efficacy of lifestyle interventions in physical health management of patients with severe mental illness. Ann Gen Psychiatry 2011; 10:22. [PMID: 21929761 PMCID: PMC3189180 DOI: 10.1186/1744-859x-10-22] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2010] [Accepted: 09/19/2011] [Indexed: 02/08/2023] Open
Abstract
Awareness of the importance of maintaining physical health for patients with severe mental illnesses has recently been on the increase. Although there are several elements contributing to poor physical health among these patients as compared with the general population, risk factors for cardiovascular disease such as smoking, diabetes mellitus, hypertension, dyslipidemia, metabolic syndrome, and obesity are of particular significance due to their relationship with mortality and morbidity. These patients present higher vulnerability to cardiovascular risk factors based on several issues, such as genetic predisposition to certain pathologies, poor eating habits and sedentary lifestyles, high proportions of smokers and drug abusers, less access to regular health care services, and potential adverse events during pharmacological treatment. Nevertheless, there is ample scientific evidence supporting the benefits of lifestyle interventions based on diet and exercise designed to minimize and reduce the negative impact of these risk factors on the physical health of patients with severe mental illnesses.
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Affiliation(s)
| | - Fernando Mora
- Servicio de Psiquiatría, Hospital Infanta Leonor, Madrid, Spain
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De Hert M, Vancampfort D, Correll CU, Mercken V, Peuskens J, Sweers K, van Winkel R, Mitchell AJ. Guidelines for screening and monitoring of cardiometabolic risk in schizophrenia: systematic evaluation. Br J Psychiatry 2011; 199:99-105. [PMID: 21804146 DOI: 10.1192/bjp.bp.110.084665] [Citation(s) in RCA: 143] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Metabolic and cardiovascular health problems have become a major focus for clinical care and research in schizophrenia. AIMS To evaluate the content and quality of screening guidelines for cardiovascular risk in schizophrenia. METHOD Systematic review and quality assessment of guidelines/recommendations for cardiovascular risk in people with schizophrenia published between 2000 and 2010, using the Appraisal of Guidelines for Research and Evaluation (AGREE). RESULTS The AGREE domain scores varied between the 18 identified guidelines. Most guidelines scored best on the domains 'scope and purpose' and 'clarity of presentation'. The domain 'rigour of development' was problematic in most guidelines, and the domains 'stakeholder involvement' and 'editorial independence' scored the lowest. The following measurements were recommended (in order of frequency): fasting glucose, body mass index, fasting triglycerides, fasting cholesterol, waist, high-density lipoprotein/low-density lipoprotein, blood pressure and symptoms of diabetes. In terms of interventions, most guidelines recommended advice on physical activity, diet, psychoeducation of the patient, treatment of lipid abnormalities, treatment of diabetes, referral for advice and treatment, psychoeducation of the family and smoking cessation advice. Compared across all domains and content, four European guidelines could be recommended. CONCLUSIONS Four of the evaluated guidelines are of good quality and should guide clinicians' screening and monitoring practices. Future guideline development could be improved by increasing its rigour and assuring user and patient involvement.
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Affiliation(s)
- M De Hert
- University Psychiatric Centre, KU Leuven, campus Kortenberg Leuvensesteenweg 517, 3070 Kortenberg, Belgium.
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Fraguas D, Correll CU, Merchán-Naranjo J, Rapado-Castro M, Parellada M, Moreno C, Arango C. Efficacy and safety of second-generation antipsychotics in children and adolescents with psychotic and bipolar spectrum disorders: comprehensive review of prospective head-to-head and placebo-controlled comparisons. Eur Neuropsychopharmacol 2011; 21:621-45. [PMID: 20702068 DOI: 10.1016/j.euroneuro.2010.07.002] [Citation(s) in RCA: 116] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2010] [Revised: 06/28/2010] [Accepted: 07/12/2010] [Indexed: 10/19/2022]
Abstract
OBJECTIVE To review data on efficacy and safety of second-generation antipsychotics (SGAs) in children and adolescents with psychotic and bipolar spectrum disorders. METHODS Medline/PubMed/Google Scholar search for studies comparing efficacy and/or tolerability: (i) between two or more SGAs; (ii) between SGAs and placebo; and (iii) between at least one SGA and one first-generation antipsychotic (FGA). The review focused on three major side-effect clusters: 1. body weight, body mass index, and cardiometabolic parameters, 2. prolactin levels, and 3. neuromotor side effects. RESULTS In total, 34 studies with 2719 children and adolescents were included. Studies lasted between 3 weeks and 12 months, with most studies (79.4%) lasting 3 months or less. Nine studies (n=788) were conducted in patients with schizophrenia, 6 (n=719) in subjects with bipolar disorder, and 19 (n=1212) in a mixed population. Data on efficacy showed that, except for clozapine being superior for refractory schizophrenia, there were no significant differences between SGAs. By contrast, safety assessments showed relevant differences between SGAs. Mean weight gain ranged from 3.8 kg to 16.2 kg in patients treated with olanzapine (n=353), from 0.9 kg to 9.5 kg in subjects receiving clozapine (n=97), from 1.9 kg to 7.2 kg in those on risperidone (n=571), from 2.3 kg to 6.1 kg among patients taking quetiapine (n=133), and from 0 kg to 4.4 kg in those treated with aripiprazole (n=451). Prolactin levels increased the most in subjects on risperidone (mean change ranging from 8.3 ng/mL to 49.6 ng/mL), followed by olanzapine (-1.5 ng/mL to +13.7 ng/mL). Treatment with aripiprazole was associated with decreased prolactin levels, while clozapine and quetiapine were found to be mostly neutral. With respect to neuromotor side effects, SGAs were associated with less parkinsonism and akathisia than FGAs. Most of the studies comparing neuromotor side effects between SGAs found no significant differences. CONCLUSIONS SGAs do not behave as a homogeneous group in children and adolescents with psychotic and mood disorders. Except for clozapine, the heterogeneity within the SGA group is mainly due to differences in the rates and severity of adverse events, especially regarding weight gain as a proxy for the risk of cardiometabolic disturbances.
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Affiliation(s)
- David Fraguas
- Servicio de Salud Mental, Complejo Hospitalario Universitario de Albacete, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Albacete, Spain
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DE Hert M, Correll CU, Bobes J, Cetkovich-Bakmas M, Cohen D, Asai I, Detraux J, Gautam S, Möller HJ, Ndetei DM, Newcomer JW, Uwakwe R, Leucht S. Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry 2011; 10:52-77. [PMID: 21379357 PMCID: PMC3048500 DOI: 10.1002/j.2051-5545.2011.tb00014.x] [Citation(s) in RCA: 1521] [Impact Index Per Article: 108.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The lifespan of people with severe mental illness (SMI) is shorter compared to the general population. This excess mortality is mainly due to physical illness. We report prevalence rates of different physical illnesses as well as important individual lifestyle choices, side effects of psychotropic treatment and disparities in health care access, utilization and provision that contribute to these poor physical health outcomes. We searched MEDLINE (1966 - August 2010) combining the MeSH terms of schizophrenia, bipolar disorder and major depressive disorder with the different MeSH terms of general physical disease categories to select pertinent reviews and additional relevant studies through cross-referencing to identify prevalence figures and factors contributing to the excess morbidity and mortality rates. Nutritional and metabolic diseases, cardiovascular diseases, viral diseases, respiratory tract diseases, musculoskeletal diseases, sexual dysfunction, pregnancy complications, stomatognathic diseases, and possibly obesity-related cancers are, compared to the general population, more prevalent among people with SMI. It seems that lifestyle as well as treatment specific factors account for much of the increased risk for most of these physical diseases. Moreover, there is sufficient evidence that people with SMI are less likely to receive standard levels of care for most of these diseases. Lifestyle factors, relatively easy to measure, are barely considered for screening; baseline testing of numerous important physical parameters is insufficiently performed. Besides modifiable lifestyle factors and side effects of psychotropic medications, access to and quality of health care remains to be improved for individuals with SMI.
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Garcia-Portilla MP, Saiz PA, Benabarre A, Florez G, Bascaran MT, Díaz EM, Bousoño M, Bobes J. Impact of substance use on the physical health of patients with bipolar disorder. Acta Psychiatr Scand 2010; 121:437-45. [PMID: 19895620 DOI: 10.1111/j.1600-0447.2009.01498.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To describe the impact of tobacco, alcohol and cannabis on metabolic profile and cardiovascular risk in bipolar patients. METHOD Naturalistic, cross-sectional, multicenter Spanish study. Current use of tobacco, alcohol and cannabis was determined based on patient self-reports. Metabolic syndrome was defined using the National Health and Nutrition Examination Survey 1999-2000 and the American Heart Association/National Heart, Lung and Blood Institute criteria, and cardiovascular risk using the Framingham and the Systematic Coronary Risk Evaluation functions. RESULTS Mean age was 46.6 years, 49% were male. Substance use: 51% tobacco, 13% alcohol and 12.5% cannabis. Patients who reported consuming any substance were significantly younger and a higher proportion was male. After controlling for confounding factors, tobacco was a risk factor for coronary heart disease (CHD) (unstandardized linear regression coefficient 3.47, 95% confidence interval 1.85-5.10). CONCLUSION Substance use, mainly tobacco, was common in bipolar patients. Tobacco use negatively impacted CHD risk.
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Moreno C, Merchán-Naranjo J, Alvarez M, Baeza I, Alda JA, Martínez-Cantarero C, Parellada M, Sánchez B, de la Serna E, Giráldez M, Arango C. Metabolic effects of second-generation antipsychotics in bipolar youth: comparison with other psychotic and nonpsychotic diagnoses. Bipolar Disord 2010; 12:172-84. [PMID: 20402710 DOI: 10.1111/j.1399-5618.2010.00797.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Despite known metabolic effects of second-generation antipsychotics (SGAs) on children and adolescents, comparative effects in youth with different diagnoses remain underreported. We compared differences in metabolic changes three months after starting treatment with SGAs in youth with bipolar disorder and with other psychotic and nonpsychotic disorders. METHODS Weight and metabolic differences among diagnostic groups before and three months after starting treatment with SGAs were compared in a naturalistic cohort of children and adolescents (14.9 +/- 3.0 years) diagnosed with bipolar disorder (n = 31), other psychotic disorders (n = 29), and other nonpsychotic disorders (n = 30), with no (35.6%) or very little (6.6 +/- 9.0 days) previous exposure to antipsychotics. Composite measurements of significant weight gain [weight increase > or = 5% at three months or increase > or = 0.5 in body mass index (BMI) z-score] and 'risk for adverse health outcome' (> or = 95(th) BMI percentile, or > or = 85(th) BMI percentile plus presence of one other obesity-related complication) were included. SGAs (risperidone, olanzapine, and quetiapine) were prescribed in comparable proportion among groups. RESULTS Baseline weight and metabolic indices were not significantly different among diagnoses. Three months after starting treatment with SGAs, more than 70% patients had significant weight gain, BMI z-score increased in all diagnostic groups (p < 0.001 for all comparisons), total cholesterol increased in the bipolar (p = 0.02) and psychotic (p = 0.01) disorder groups, low-density lipoprotein cholesterol increased in the bipolar group (p = 0.02), and free T4 decreased in the psychotic disorder group (p = 0.05). More patients with bipolar disorder presented overweight plus > or = 1 obesity-related complication at follow-up. CONCLUSIONS There are early weight gain and metabolic changes across diagnoses in youth treated with SGAs.
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Affiliation(s)
- Carmen Moreno
- Unidad de Adolescentes, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain.
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Guillén JMB, Company ES. Use of antipsychotics during pregnancy and breastfeeding. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2009; 2:138-45. [PMID: 23034313 DOI: 10.1016/s1888-9891(09)72405-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2009] [Accepted: 04/28/2009] [Indexed: 12/21/2022]
Abstract
There is growing acceptance that pregnancy itself is not a protective factor against mental disorders. Indeed, some mental disorders such as psychotic and bipolar disorders may become worse during pregnancy and the immediate postpartum period. In pregnant women with a mental disorder that can be treated with antipsychotics, the known risks -teratogenic, obstetric, neonatal and those affecting the mother- indicate that, in general, the risk of the non-treated disorder is higher than that resulting from the use of antipsychotics and that the reduction in psychoticism improves the overall prognosis of these women. All the antipsychotics marketed in Spain are included in category C of the US Food and Drug Administration, with the exception of clozapine and piperazine, which are included in category B. The use of all of these drugs should be avoided during breast feeding as far as possible. The most reliable current recommendations indicate that optimal control of severe mental disorders should be maintained during pregnancy, the postpartum and subsequent periods. These recommendations also indicate that women with mental disorders must be considered as high risk and that both these women and their pregnancies should be constantly monitored. The currently available scientific information does not allow more than relatively secure individually-tailored recommendations to be made. When taking the decision of whether or not to treat with antipsychotics, the use of a risk-benefit relationship is crucial, with the participation of the woman's partner or legal representative, other physicians and even the clinical pharmacist if necessary.
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Affiliation(s)
- José Manuel Bertolín Guillén
- Unidad de Hospitalización Psiquiátrica, Servicio de Psiquiatría, Departamento de Salud Valencia-Arnau de Vilanova, Agència Valenciana de Salut, Valencia, España.
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Garcia-Portilla MP, Saiz PA, Bascaran MT, Martínez A S, Benabarre A, Sierra P, Torres P, Montes JM, Bousoño M, Bobes J. Cardiovascular risk in patients with bipolar disorder. J Affect Disord 2009; 115:302-8. [PMID: 18954911 DOI: 10.1016/j.jad.2008.09.008] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2008] [Revised: 09/07/2008] [Accepted: 09/08/2008] [Indexed: 11/29/2022]
Abstract
BACKGROUND To date, little is known about cardiovascular risk (CVR) in terms of coronary heart disease (CHD) and cardiovascular mortality risk (CMR) in patients with bipolar disorder. This study provides data on the overall risk of any fatal or non-fatal coronary heart disease (CHD) and on the cardiovascular mortality risk (CMR) within 10 years in these patients. METHODS Naturalistic, cross-sectional, multicenter study conducted in Spain. Patients were evaluated for cardiovascular risk using the Framinghan function (CHD) and the Systematic COronary Risk Evaluation (SCORE) function (CMR). RESULTS The mean age was 46.6 years and 49% were male. Forty-six percent were in remission. Ten-year CHD risk was 7.6% (males 10.2% versus females 4.7%, p<0.001) and 10-year CMR was 1.8% (males 2.2% versus females 1.3%, p 0.161). Fifty-one percent smoked and 34% was obese. Metabolic syndrome was present in 22.4% of the sample (35.6% according to AHA and NHLBI criteria). Cardiovascular risk significantly increases with age, body mass index and presence of metabolic syndrome. LIMITATIONS The cross-sectional design of the study. CONCLUSIONS Cardiovascular risk is high in patients with bipolar disorder. It is associated with age, body mass index and metabolic syndrome. Psychiatrists should be aware of this issue and carefully monitor these patients for cardiovascular risk factors, including cigarette smoking, as part of the standard of care when treating them.
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Affiliation(s)
- Maria P Garcia-Portilla
- Department of Psychiatry, University of Oviedo, Spain; Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain.
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