Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))

Introduction: The Metabolic Syndrome is a set of diverse clinical situations such as diabetes mellitus, hypertension and dyslipidemia. Patients with mental illnesses such as schizophrenia or bipolar disorder have a higher mortality than the general population attributable in 60% to somatic diseases...

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Autores:
Roldan Menco, Consuelo
Díaz-Pérez, Anderson
Barrios Puerta, Zoraida
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
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oai:bonga.unisimon.edu.co:20.500.12442/3021
Acceso en línea:
http://hdl.handle.net/20.500.12442/3021
Palabra clave:
Second generation antipsychotics
Schizophrenic patients
Bipolar disorder
Metabolic syndrome
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.title.eng.fl_str_mv Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))
title Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))
spellingShingle Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))
Second generation antipsychotics
Schizophrenic patients
Bipolar disorder
Metabolic syndrome
title_short Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))
title_full Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))
title_fullStr Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))
title_full_unstemmed Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))
title_sort Second Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))
dc.creator.fl_str_mv Roldan Menco, Consuelo
Díaz-Pérez, Anderson
Barrios Puerta, Zoraida
dc.contributor.author.none.fl_str_mv Roldan Menco, Consuelo
Díaz-Pérez, Anderson
Barrios Puerta, Zoraida
dc.subject.eng.fl_str_mv Second generation antipsychotics
Schizophrenic patients
Bipolar disorder
Metabolic syndrome
topic Second generation antipsychotics
Schizophrenic patients
Bipolar disorder
Metabolic syndrome
description Introduction: The Metabolic Syndrome is a set of diverse clinical situations such as diabetes mellitus, hypertension and dyslipidemia. Patients with mental illnesses such as schizophrenia or bipolar disorder have a higher mortality than the general population attributable in 60% to somatic diseases and metabolic syndrome, where second generation antipsychotics increase the risk of weight gain and insulin resistance. Objectives. Correlate the treatment with second generation antipsychotics (SGAs) as a possible predictor for Metabolic Syndrome according to the NCEP ATP III (a) classification. Methods: Descriptive, cross-sectional correlational study. The sample was of 92 patients, applying an open and convenience sampling due to the mental state of the patients in order to determine their degree of acceptance to the study (Informed Assent) and consent to the legal guardian as the main inclusion criterion. For the analysis, the following variables were considered: blood pressure, weight, height, abdominal circumference, serum levels of triglycerides, glucose and high density lipoproteins. The SPSS 20.0 ® program was used logistic regression analysis with a p-value <0.05 and a confidence level of 95%. Results: SGAs most used was clozapine (54.3%). The correlation analysis showed that sociodemographic aspects such as personal history, habits, physical activity and paraclinical and anthropometric records correlated with the possible diagnosis of metabolic syndrome (p <0.05), but not with SGAs (p> 0.05). ). Conclusion: No correlation was found between the presence of the metabolic syndrome and the type of antipsychotic treatment.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-05-15T20:00:01Z
dc.date.available.none.fl_str_mv 2019-05-15T20:00:01Z
dc.date.issued.none.fl_str_mv 2019
dc.type.eng.fl_str_mv article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.identifier.issn.none.fl_str_mv 19169736
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12442/3021
identifier_str_mv 19169736
url http://hdl.handle.net/20.500.12442/3021
dc.language.iso.eng.fl_str_mv eng
language eng
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dc.publisher.eng.fl_str_mv Canadian Center of Science and Education
dc.source.eng.fl_str_mv Global Journal of Health Sciencia
Vol. 11, No. 1 (2019)
institution Universidad Simón Bolívar
dc.source.uri.eng.fl_str_mv https://doi.org/10.5539/gjhs.v11n1p28
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spelling Roldan Menco, Consuelo67bd2bae-c096-40a2-91ad-84a89c6b6ebcDíaz-Pérez, Anderson1c41cfcd-6b03-4ec2-a737-8299ac90ad88Barrios Puerta, Zoraida2d6bac6d-6622-4d8d-bd9a-55b8789da0cb2019-05-15T20:00:01Z2019-05-15T20:00:01Z201919169736http://hdl.handle.net/20.500.12442/3021Introduction: The Metabolic Syndrome is a set of diverse clinical situations such as diabetes mellitus, hypertension and dyslipidemia. Patients with mental illnesses such as schizophrenia or bipolar disorder have a higher mortality than the general population attributable in 60% to somatic diseases and metabolic syndrome, where second generation antipsychotics increase the risk of weight gain and insulin resistance. Objectives. Correlate the treatment with second generation antipsychotics (SGAs) as a possible predictor for Metabolic Syndrome according to the NCEP ATP III (a) classification. Methods: Descriptive, cross-sectional correlational study. The sample was of 92 patients, applying an open and convenience sampling due to the mental state of the patients in order to determine their degree of acceptance to the study (Informed Assent) and consent to the legal guardian as the main inclusion criterion. For the analysis, the following variables were considered: blood pressure, weight, height, abdominal circumference, serum levels of triglycerides, glucose and high density lipoproteins. The SPSS 20.0 ® program was used logistic regression analysis with a p-value <0.05 and a confidence level of 95%. Results: SGAs most used was clozapine (54.3%). The correlation analysis showed that sociodemographic aspects such as personal history, habits, physical activity and paraclinical and anthropometric records correlated with the possible diagnosis of metabolic syndrome (p <0.05), but not with SGAs (p> 0.05). ). Conclusion: No correlation was found between the presence of the metabolic syndrome and the type of antipsychotic treatment.engCanadian Center of Science and EducationAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2Global Journal of Health ScienciaVol. 11, No. 1 (2019)https://doi.org/10.5539/gjhs.v11n1p28Second generation antipsychoticsSchizophrenic patientsBipolar disorderMetabolic syndromeSecond Generation Antipsychotics (SGAs) in Schizophrenic Patients and Bipolar Disorder: Correlation With Metabolic Syndrome (NCEP ATP III(a))articlehttp://purl.org/coar/resource_type/c_6501Aguilar, E., Coronas, R., & Caixàs, A. (2012). Síndrome metabólico en pacientes esquizofrénicos con tratamiento antipsicótico. Medicina clínica, 139(12), 542-546. https://doi.org/10.1016/j.medcli.2012.05.028Correll, C. U., Detraux, J., Lepeleire, J., & De Hert, M. (2015). Efectos de antipsicóticos, antidepresivos y estabilizadores del estado de ánimo sobre el riesgo de enfermedades físicas en personas con esquizofrenia, depresión y trastorno bipolar. WPA, 14, 119-136.Cortés Morales, B. (2011). Síndrome metabólico y antipsicóticos de segunda generación. Revista de la Asociación Espa-ola de Neuropsiquiatría, 31(2), 303-320. https://doi.org/10.4321/S0211-57352011000200009De Hert, M., Dekker, J. M., Wood, D., Kahl, K. G., & Möller, H.-J. (2009). Enfermedad cardiovascular y diabetes en personas con enfermedad mental grave: Declaración de la posición de la Sociedad Psiquiátrica Europea (EPA), respaldada por la Asociación Europea para el Estudio de la Diabetes (EASD) y la Sociedad Europea de Cardiología (ESC). Revista de Psiquiatría y Salud Mental, 2(1), 49-59. https://doi.org/10.1016/S1888-9891(09)70714-1Estévez, M. J. V., Domínguez, M. F., Corti-as, M. J. L., Seoane, M. N., Sánchez, E. P., & Quintas, C. M. G. (2013). Prevalencia del síndrome metabólico en esquizofrenia y trastorno bipolar:?` sería útil un protocolo de control cardiovascular? Cadernos de atención primaria, 19(4), 215–222.García-García, E., la Llata-Romero, D., Kaufer-Horwitz, M., Tusié-Luna, M. T., Calzada-León, R., Vázquez-Velázquez, V., … Velázquez-Fernández, D. (2008). La obesidad y el síndrome metabólico como problema de salud pública. Una reflexión. Acta pediátrica de México, 29(4), 227-245.Jaramillo, C. L., Mejía, A. C., Velásquez, A. H., Palacio, T. F. R., & Zuluaga, J. O. (2013). Síndrome metabólico y trastorno afectivo bipolar: una revisión de la literatura. Revista Colombiana de Psiquiatría, 42(3), 283-291. https://doi.org/10.1016/S0034-7450(13)70021-0Levav, I., Lima, B. R., Somoza Lennon, M., Kramer, M., & Salvatierra-González, R. (1989). Salud mental para todos en America Latina y el Caribe: bases epidemiologicas para la accion.Martinez, M. I. V., León, F., Torres, R., & Crossley, N. A. (2017). 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Síndrome metabólico y riesgo cardiovascular en pacientes con diagnóstico de esquizofrenia, trastorno esquizoafectivo y trastorno bipolar. Nutrición Hospitalaria, 32(6), 2715–2717.Ortiz Lobo, A., & Ibá-ez Rojo, V. (2011). Iatrogenia y prevención cuaternaria en salud mental. Revista Espa-ola de Salud Pública, 85(6), 513-525. https://doi.org/10.1590/S1135-57272011000600002Pato, C. M. F., Rodríguez, V. M., & Valverde, J. I. F. (2017). Síndrome metabólico y antipsicóticos atípicos. Posibilidad de predicción y control. Revista de Psiquiatría y Salud Mental, 10(1), 38-44. https://doi.org/10.1016/j.rpsm.2016.09.003Pineda, C. A. (2008). Síndrome metabólico: definición, historia, criterios. Colombia médica, 39(1).Rojo, L., Mesa, F., & Martínez-Ortega, J. M. (2014). Prevalencia del síndrome metabólico en pacientes espa-oles con esquizofrenia y sobrepeso. El estudio CRESSOB. Actas Esp Psiquiatr, 42(1), 9-17.Alberti, K. G. M. M., Zimmet, P., & Shaw, J. (2006). 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W., Mak, A., Ho, R. C. (2014). Metabolic syndrome in psychiatry: advances in understanding and management. Advances in Psychiatric Treatment, 20, 101-112. https://doi.org/10.1192/apt.bp.113.011619Kavey, R.-E. W., Daniels, S. R., Lauer, R. M., Atkins, D. L., Hayman, L. L., & Taubert, K. (2003). American Heart Association guidelines for primary prevention of atherosclerotic cardiovascular disease beginning in childhood. Circulation, 107(11), 1562–1566. https://doi.org/10.1161/01.CIR.0000061521.15730.6ELakka, H.-M., Laaksonen, D. E., Lakka, T. A., Niskanen, L. K., Kumpusalo, E., Tuomilehto, J., & Salonen, J. T. (2002). The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. Jama, 288(21), 2709-2716. https://doi.org/10.1001/jama.288.21.2709McEvoy, J. P., Meyer, J. M., Goff, D. C., Nasrallah, H. A., Davis, S. M., Sullivan, L., … Lieberman, J. A. (2005). Prevalence of the metabolic syndrome in patients with schizophrenia: baseline results from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial and comparison with national estimates from NHANES III. Schizophrenia research, 80(1), 19-32. https://doi.org/10.1016/j.schres.2005.07.014Newcomer, J. W. (2007a). Antipsychotic medications: metabolic and cardiovascular risk. The Journal of clinical psychiatry.Newcomer, J. W. (2007b). Metabolic syndrome and mental illness. The American journal of managed care, 13(7 Suppl), S170-7.Park, B., & Lee, Y.-J. (2018). Metabolic syndrome and its components as risk factors for prolonged corrected QT interval in apparently healthy Korean men and women. Journal of Clinical Lipidology. https://doi.org/10.1016/j.jacl.2018.07.004Stergiou, G. S., Asmar, R., Myers, M., Palatini, P., Parati, G., Shennan, A., … Monitoring, E. S. of H. W. G. on B. P. (2018). Improving the accuracy of blood pressure measurement: the influence of the European Society of Hypertension International Protocol (ESH-IP) for the validation of blood pressure measuring devices and future perspectives. LWW. https://doi.org/10.1097/HJH.0000000000001635Thomas, G. N., Ho, S.-Y., Janus, E. D., Lam, K. S., Hedley, A. J., Lam, T. H., & Committee, H. K. C. R. F. P. S. S. (2005). The US national cholesterol education programme adult treatment panel III (NCEP ATP III) prevalence of the metabolic syndrome in a Chinese population. Diabetes research and clinical practice, 67(3), 251-257. https://doi.org/10.1016/j.diabres.2004.07.022Vancampfort, D., Stubbs, B., Mitchell, A. J., De Hert, M., Wampers, M., Ward, P. B., … Correll, C. U. (2015). Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta-analysis. World Psychiatry, 14(3), 339-347. https://doi.org/10.1002/wps.20252Williams, B., Poulter, N. R., Brown, M. J., Davis, M., McInnes, G. T., Potter, J. F., … Thom, S. M. (2004). Guidelines for management of hypertension: report of the fourth working party of the British Hypertension Society, 2004-BHS IV. 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