Diagnostic criteria and management of metabolic syndrome: Evolution overtime
The beginnings of the Metabolic Syndrome (MetS) as a suspected, not yet recognized entity can be traced back to 1923 when a study concerning a particularly common clustering of metabolic entities observed in diabetic patients was first published. Years of research and endless debate yielded the curr...
- Autores:
-
Rojas, Edward
Castro, Ana
Manzano, Alexander
Suarez, Maria Karina
Lameda, Victor
Carrasquero, Ruben
Nava, Manuel
Bermúdez, Valmore
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/13137
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/13137
https://doi.org/10.47307/GMC.2020.128.4.5
- Palabra clave:
- Metabolic syndrome
Diagnostic criteria
Management
MetS updates
Cardiovascular disease
Type 2 diabetes
Síndrome metabólico
criterios diagnósticos
actualizaciones de SM
enfermedad cardiovascular
Diabetes Mellitus tipo 2
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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Diagnostic criteria and management of metabolic syndrome: Evolution overtime |
| title |
Diagnostic criteria and management of metabolic syndrome: Evolution overtime |
| spellingShingle |
Diagnostic criteria and management of metabolic syndrome: Evolution overtime Metabolic syndrome Diagnostic criteria Management MetS updates Cardiovascular disease Type 2 diabetes Síndrome metabólico criterios diagnósticos actualizaciones de SM enfermedad cardiovascular Diabetes Mellitus tipo 2 |
| title_short |
Diagnostic criteria and management of metabolic syndrome: Evolution overtime |
| title_full |
Diagnostic criteria and management of metabolic syndrome: Evolution overtime |
| title_fullStr |
Diagnostic criteria and management of metabolic syndrome: Evolution overtime |
| title_full_unstemmed |
Diagnostic criteria and management of metabolic syndrome: Evolution overtime |
| title_sort |
Diagnostic criteria and management of metabolic syndrome: Evolution overtime |
| dc.creator.fl_str_mv |
Rojas, Edward Castro, Ana Manzano, Alexander Suarez, Maria Karina Lameda, Victor Carrasquero, Ruben Nava, Manuel Bermúdez, Valmore |
| dc.contributor.author.none.fl_str_mv |
Rojas, Edward Castro, Ana Manzano, Alexander Suarez, Maria Karina Lameda, Victor Carrasquero, Ruben Nava, Manuel Bermúdez, Valmore |
| dc.subject.eng.fl_str_mv |
Metabolic syndrome Diagnostic criteria Management MetS updates Cardiovascular disease Type 2 diabetes |
| topic |
Metabolic syndrome Diagnostic criteria Management MetS updates Cardiovascular disease Type 2 diabetes Síndrome metabólico criterios diagnósticos actualizaciones de SM enfermedad cardiovascular Diabetes Mellitus tipo 2 |
| dc.subject.spa.fl_str_mv |
Síndrome metabólico criterios diagnósticos actualizaciones de SM enfermedad cardiovascular Diabetes Mellitus tipo 2 |
| description |
The beginnings of the Metabolic Syndrome (MetS) as a suspected, not yet recognized entity can be traced back to 1923 when a study concerning a particularly common clustering of metabolic entities observed in diabetic patients was first published. Years of research and endless debate yielded the currently accepted MetS definition and diagnostic criteria, even if some components and their cut-off points are still up for discussion. To date, MetS are defined as a clustering of metabolic risk factors that greatly increase the incidence of cardiovascular disease (CVD) and type 2 diabetes (T2D), while also being closely related to various potentially deadly comorbidities. Furthermore, since early detection and management of MetS have been shown to decrease the risk for CVD and T2D, current research has focused on unifying diagnostic criteria and proposing novel parameters to facilitate MetS identification, while also promoting a healthy lifestyle as a preventive measure. With a deeper understanding of MetS pathophysiology comes the broadening of therapeutic targets open for study, thus expanding and enhancing the treatment methods currently in use. This review aims to summarize the evolution of MetS as a concept, development of the diagnostic criteria, current management, and future directions. |
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2020 |
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2020 |
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2023-08-15T12:46:21Z |
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2023-08-15T12:46:21Z |
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Artículo científico |
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Rojas, D. E., Castro, A., Manzano, A., Suarez, M. K., Lameda, V., Carrasquero, R., Nava, M., & Bermúdez, V. (2020). Diagnostic criteria and management of metabolic syndrome: Evolution overtime. Gaceta Médica De Caracas, 128(4), 480–504. Recuperado a partir de http://saber.ucv.ve/ojs/index.php/rev_gmc/article/view/20628 |
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27390012 |
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https://hdl.handle.net/20.500.12442/13137 |
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https://doi.org/10.47307/GMC.2020.128.4.5 |
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Rojas, D. E., Castro, A., Manzano, A., Suarez, M. K., Lameda, V., Carrasquero, R., Nava, M., & Bermúdez, V. (2020). Diagnostic criteria and management of metabolic syndrome: Evolution overtime. Gaceta Médica De Caracas, 128(4), 480–504. Recuperado a partir de http://saber.ucv.ve/ojs/index.php/rev_gmc/article/view/20628 27390012 |
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https://hdl.handle.net/20.500.12442/13137 https://doi.org/10.47307/GMC.2020.128.4.5 |
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eng |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
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Gaceta Médica de Caracas |
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Vol. 128, No. 2S (2020) |
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Rojas, Edward94d56218-0c78-40f2-a501-74feeca9191cCastro, Ana542840db-6b79-4654-9321-1e0b9737ea93Manzano, Alexander0dd1f5fe-19cd-42e0-b698-34b17a178629Suarez, Maria Karina96d323a7-efe3-45e6-b5f1-ba697d45f622Lameda, Victor4b0ac8eb-5565-4068-b1e5-d0c0f13bd502Carrasquero, Rubena5d704bd-cc22-4059-b655-fcbe61fee7f6Nava, Manuelf9865b69-841a-4eea-b7da-6a174b033d10Bermúdez, Valmore29f9aa18-16a4-4fd3-8ce5-ed94a0b8663a2023-08-15T12:46:21Z2023-08-15T12:46:21Z2020Rojas, D. E., Castro, A., Manzano, A., Suarez, M. K., Lameda, V., Carrasquero, R., Nava, M., & Bermúdez, V. (2020). Diagnostic criteria and management of metabolic syndrome: Evolution overtime. Gaceta Médica De Caracas, 128(4), 480–504. Recuperado a partir de http://saber.ucv.ve/ojs/index.php/rev_gmc/article/view/2062827390012https://hdl.handle.net/20.500.12442/13137https://doi.org/10.47307/GMC.2020.128.4.5The beginnings of the Metabolic Syndrome (MetS) as a suspected, not yet recognized entity can be traced back to 1923 when a study concerning a particularly common clustering of metabolic entities observed in diabetic patients was first published. Years of research and endless debate yielded the currently accepted MetS definition and diagnostic criteria, even if some components and their cut-off points are still up for discussion. To date, MetS are defined as a clustering of metabolic risk factors that greatly increase the incidence of cardiovascular disease (CVD) and type 2 diabetes (T2D), while also being closely related to various potentially deadly comorbidities. Furthermore, since early detection and management of MetS have been shown to decrease the risk for CVD and T2D, current research has focused on unifying diagnostic criteria and proposing novel parameters to facilitate MetS identification, while also promoting a healthy lifestyle as a preventive measure. With a deeper understanding of MetS pathophysiology comes the broadening of therapeutic targets open for study, thus expanding and enhancing the treatment methods currently in use. This review aims to summarize the evolution of MetS as a concept, development of the diagnostic criteria, current management, and future directions.Los inicios del síndrome metabólico (SM) como una entidad sospechada, si bien no reconocida, datan de 1923, cuando fue publicado un estudio sobre el agrupamiento bastante común de ciertas alteraciones metabólicas en pacientes diabéticos. En las décadas siguientes, la investigación y debates interminables resultaron en la definición y criterios diagnósticos del SM actualmente aceptados, aún si algunos de sus componentes y respectivos puntos de corte siguen en discusión. Hasta la fecha, el SM es definido como un aglomerado de factores de riesgo metabólico que aumentan de gran manera la incidencia de enfermedad cardiovascular (ECV) y diabetes mellitus tipo 2 (DM2), al tiempo que están íntimamente relacionados con diversas comorbilidades potencialmente mortales. Asimismo, debido a que la detección y manejo temprano del SM han demostrado disminuir el riesgo de padecer ECV y DM2, la investigación al respecto se ha enfocado en unificar los criterios diagnósticos y proponer nuevos parámetros que faciliten la identificación del SM, en conjunto con la promoción de un estilo de vida saludable como medida de prevención. El continuo estudio de las bases fisiopatológicas del SM va de la mano con la expansión de blancos terapéuticos a investigar, de esta manera fortaleciendo y mejorando las líneas de tratamiento actualmente en uso. El objetivo de esta revisión es el resumir la evolución del SM como un concepto y sus criterios diagnósticos, haciendo hincapié en su manejo actual y las actualizaciones en lo concerniente a nuevos parámetros diagnósticos y tratamientos innovadores aún en estudio.pdfengSaber UCV, Universidad Central de VenezuelaAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Gaceta Médica de CaracasVol. 128, No. 2S (2020)Metabolic syndromeDiagnostic criteriaManagementMetS updatesCardiovascular diseaseType 2 diabetesSíndrome metabólicocriterios diagnósticosactualizaciones de SMenfermedad cardiovascularDiabetes Mellitus tipo 2Diagnostic criteria and management of metabolic syndrome: Evolution overtimeinfo:eu-repo/semantics/articleArtículo científicohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Grundy SM. Metabolic syndrome: a multiplex cardiovascular risk factor. J Clin Endocrinol Metab. 2007;92(2):399-404.Grundy SM. Metabolic syndrome: a multiplex cardiovascular risk factor. J Clin Endocrinol Metab. 2007;92(2):399-404.James PT, Rigby N, Leach R, International Obesity Task Force. The obesity epidemic, metabolic syndrome, and future prevention strategies. Eur J Cardiovasc Prev Rehabil Off J Eur Soc Cardiol Work Groups Epidemiol Prev Card Rehabil Exerc Physiol. 2004;11(1):3-8.Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735-2752Kostapanos M, Florentin M, Elisaf M, Mikhailidis D. Hemostatic Factors and the Metabolic Syndrome. Curr Vasc Pharmacol. 2014;11(6):880-905.Kraja AT, Province MA, Arnett D, Wagenknecht L, Tang W, Hopkins PN, et al. Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster? Nutr Metab. 2007;4(1):28.Samad F, Ruf W. Inflammation, obesity, and thrombosis. Blood. 2013;122(20):3415-3422.Edwardson CL, Gorely T, Davies MJ, Gray LJ, Khunti K, Wilmot EG, et al. Association of sedentary behavior with metabolic syndrome: A meta-analysis. PloS One. 2012;7(4):e34916.Agodi A, Maugeri A, Kunzova S, Sochor O, Bauerova H, Kiacova N, et al. Association of Dietary Patterns with Metabolic Syndrome: Results from the Kardiovize Brno 2030 Study. Nutrients. 2018;10(7):898.Grundy SM. Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol. 2008;28(4):629-636.Mozumdar A, Liguori G. Persistent increase of prevalence of metabolic syndrome among U.S. adults: NHANES III to NHANES 1999-2006. Diabetes Care. 2011;34(1):216-219.Katzmarzyk PT, Leon AS, Wilmore JH, Skinner JS, Rao DC, Rankinen T, et al. Targeting the metabolic syndrome with exercise: evidence from the HERITAGE Family Study. Med Sci Sports Exerc. 2003;35(10):1703-1709.He D, Xi B, Xue J, Huai P, Zhang M, Li J. Association between leisure-time physical activity and metabolic syndrome: A meta-analysis of prospective cohort studies. Endocrine. 2014;46(2):231-240.Grundy SM. Adipose tissue and metabolic syndrome: Too much, too little or neither. Eur J Clin Invest. 2015;45(11):1209-1217.Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J Clin Invest. 2011;121(6):2111-2117.Klein S, Allison DB, Heymsfield SB, Kelley DE, Leibel RL, Nonas C, et al. Waist Circumference and Cardiometabolic Risk: A Consensus Statement from Shaping America’s Health: Association for Weight Management and Obesity Prevention; NAASO, The Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Diabetes Care. 2007;30(6):1647-1652.Grundy SM, Barlow CE, Farrell SW, Vega GL, Haskell WL. Cardiorespiratory fitness and metabolic risk. Am J Cardiol. 2012;109(7):988-993Feldeisen SE, Tucker KL. Nutritional strategies in the prevention and treatment of metabolic syndrome. Appl Physiol Nutr Metab Physiol Appl Nutr Metab. 2007;32(1):46-60.Srikanthan K, Feyh A, Visweshwar H, Shapiro JI, Sodhi K. Systematic Review of Metabolic Syndrome Biomarkers: A Panel for Early Detection, Management, and Risk Stratification in the West Virginian Population. int J Med Ser 2016.13 (1):25-38Reaven GM. The metabolic syndrome: Is this diagnosis necessary? Am J Clin Nutr. 2006;83(6):1237-1247Simmons RK, Alberti KGMM, Gale E a. M, Colagiuri S, Tuomilehto J, Qiao Q, et al. The metabolic syndrome: Useful concept or clinical tool? Report of a WHO Expert Consultation. Diabetologia. 2010;53(4):600-605.Bremer AA, Mietus-Snyder M, Lustig RH. Toward a unifying hypothesis of metabolic syndrome. Pediatrics. 2012;129(3):557-570.Kylin E. Studien über das Hypertonie-Hyperglykämie- Hyperurikämie- Syndrom. Z Inn Med. 1923;44:105- 127.Albrink MJ, Meigs JW. 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Nat Med. 2006;12(1):62-66.Hossain P, Kawar B, El Nahas M. Obesity and diabetes in the developing world--a growing challenge. N Engl J Med. 2007;356(3):213-215.Engin A. The Definition and Prevalence of Obesity and Metabolic Syndrome. In: Engin AB, Engin A, editors. Obesity and Lipotoxicity [Internet]. Cham: Springer International Publishing; 2017 [cited 2020 Aug 7]. p. 1–17. (Advances in Experimental Medicine and Biology; vol. 960). Available from: http://link. springer.com/10.1007/978-3-319-48382-5_1Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: Findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287(3):356-359.Azizi F, Salehi P, Etemadi A, Zahedi-Asl S. Prevalence of metabolic syndrome in an urban population: Tehran Lipid and Glucose Study. Diabetes Res Clin Pract. 2003;61(1):29-37.El Brini O, Akhouayri O, Gamal A, Mesfioui A, Benazzouz B. Prevalence of metabolic syndrome and its components based on a harmonious definition among adults in Morocco. Diabetes Metab Syndr Obes Targets Ther. 2014;7:341-346.El Brini O, Akhouayri O, Gamal A, Mesfioui A, Benazzouz B. Prevalence of metabolic syndrome and its components based on a harmonious definition among adults in Morocco. Diabetes Metab Syndr Obes Targets Ther. 2014;7:341-346.Marbou WJT, Kuete V. Prevalence of Metabolic Syndrome and Its Components in Bamboutos Division’s Adults, West Region of Cameroon. BioMed Res Int. 2019;2019:9676984.Jaspers Faijer-Westerink H, Kengne AP, Meeks KAC, Agyemang C. Prevalence of metabolic syndrome in sub-Saharan Africa: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis NMCD. 2020;30(4):547-565.Prasad DS, Kabir Z, Dash AK, Das BC. Prevalence and risk factors for metabolic syndrome in Asian Indians: A community study from urban Eastern India. J Cardiovasc Dis Res. 2012;3(3):204-211.Chen S-H, Chen S-C, Lai Y-P, Chen P-H, Yeh K-Y. Abdominal obesity and hypertension are correlated with health-related quality of life in Taiwanese adults with metabolic syndrome. BMJ Open Diabetes Res Care. 2020;8(1):e000947.Hong AR, Lim S. Clinical characteristics of metabolic syndrome in Korea, and its comparison with other Asian countries. J Diabetes Investig. 2015;6(5):508- 515.Li Y, Zhao L, Yu D, Wang Z, Ding G. Metabolic syndrome prevalence and its risk factors among adults in China: A nationally representative cross-sectional study. PloS One. 2018;13(6):e0199293.Herningtyas EH, Ng TS. Prevalence and distribution of metabolic syndrome and its components among provinces and ethnic groups in Indonesia. BMC Public Health. 2019;19(1):377.Scuteri A, Laurent S, Cucca F, Cockcroft J, Cunha PG, Mañas LR, et al. Metabolic syndrome across Europe: Different clusters of risk factors. Eur J Prev Cardiol. 2015;22(4):486-491.Corbatón-Anchuelo A, Martínez-Larrad MT, Fernández-Pérez C, Vega-Quiroga S, Ibarra-Rueda JM, Serrano-Ríos M, et al. Metabolic syndrome, adiponectin, and cardiovascular risk in Spain (the Segovia study): Impact of consensus societies criteria. Metab Syndr Relat Disord. 2013;11(5):309-318.Ragino Y, Kovalkova N, Travnikova N, Denisova D, Voevoda M. Prevalence of metabolic syndrome in young adults in Russia. Atherosclerosis. 2017;263:e172.Salvi V, D’Ambrosio V, Rosso G, Bogetto F, Maina G. Age-specific prevalence of metabolic syndrome in Italian patients with bipolar disorder. Psychiatry Clin Neurosci. 2011;65(1):47-54.Vernay M, Salanave B, de Peretti C, Druet C, Malon A, Deschamps V, et al. Metabolic syndrome and socioeconomic status in France: The French Nutrition and Health Survey (ENNS, 2006-2007). Int J Public Health. 2013;58(6):855-864.Moebus S, Hanisch J, Bramlage P, Lösch C, Hauner H, Wasem J, et al. Regional differences in the prevalence of the metabolic syndrome in primary care practices in Germany. Dtsch Arzteblatt Int. 2008;105(12):207- 213.Setayeshgar S, Whiting SJ, Vatanparast H. 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