Alcohol formula

Prevalence and associations of metabolic syndrome in patients with alcohol use disorders

  • Rochlani, Y., Pothineni, NV, Kovelamudi, S. & Mehta, JL Metabolic syndrome: pathophysiology, management and modulation by natural compounds. The. Adv. Cardiovascular. Say. 11215-225 (2017).

    CAS PubMed PubMed Central Google Scholar

  • Justice, CA et al. Predictive accuracy of the Veterans Aging Cohort Study Index for HIV infection mortality. JAIDS J. Acquire. Immune Challenge. syndr. 62149-163 (2013).

    Google Scholar PubMed

  • Scuteri, A. et al. Metabolic syndrome across Europe: different groups of risk factors. EUR. J. Prev. Cardole. 22486–491 (2015).

    Google Scholar PubMed

  • Alberti, KG & Zimmet, PZ Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus interim report of a WHO consultation. Diabetes. Med. 15539-553 (1998).

    CAS PubMed Google Scholar

  • Einhorn, D. et al. American College of Endocrinology position statement on insulin resistance syndrome. Endocr. Practice. 9237–252 (2003).

    Google Scholar PubMed

  • Alberti, KGMM, Zimmet, P. & Shaw, J. Metabolic syndrome – a new global definition. A consensus statement from the International Diabetes Federation. Diabetes. Med. 23469-480 (2006).

    CAS PubMed Google Scholar

  • Grundy, SM et al. Diagnosis and management of metabolic syndrome: a scientific statement from the American Heart Association/National Heart, Lung, and Blood Institute. Traffic 1122735–2752 (2005).

    Google Scholar PubMed

  • Alberti, KGMM et al. Harmonizing metabolic syndrome: a joint interim statement from the International Diabetes Federation Epidemiology and Prevention Working Group; National Heart, Lung and Blood Institute; American Heart Association; World Heart Federation; International. Traffic 1201640–1645 (2009).

    CAS PubMed Google Scholar

  • Ference, BA, Kastelein, JJP & Catapano, AL Lipids and Lipoproteins in 2020. JAMA J.Am. Med. Assoc. 324595–596 (2020).

    Google Scholar

  • Simmons, RK et al. The metabolic syndrome: useful concept or clinical tool? Report of a WHO expert consultation. Diabetology 53600–605 (2010).

    CAS PubMed Google Scholar

  • Tauler, P. et al. Prevalence of premorbid metabolic syndrome in Spanish adult workers using the IDF and ATPIII diagnostic criteria: Relationship with cardiovascular risk factors. PLoS One 9e89281 (2014).

    ADS PubMed PubMed Central Google Scholar

  • Observatorio Español de las Drogas las Adicciones Delegación del Gobierno para el Plan Nacional sobre Drogas. Monograph. Alcohol 2021: consumption and consequences. (2021). https://pnsd.sanidad.gob.es/profesionales/publicaciones/catalogo/catalogoPNSD/publicaciones/pdf/2021_Monografia_Alcohol_consumos_y_consecuencias.pdf

  • Vancampfort, D. et al. The prevalence of metabolic syndrome in alcohol use disorders: a systematic review and meta-analysis. Alcohol Alcohol. 51515–521 (2016).

    Google Scholar PubMed

  • Jarvis, C.M. et al. Cardiovascular risk factors and metabolic syndrome in men and women dependent on alcohol and nicotine. J. Cardiovascular. Nurses. 22429–435 (2007).

    Google Scholar PubMed

  • Hernandez-Rubio, A. et al. Association of hyperuricemia and gamma glutamyl transferase as a marker of metabolic risk in alcohol use disorders. Science. representing ten20060 (2020).

    PubMed PubMed Central Google Scholar

  • Abdul-Rahman, AK, Card, TR, Grainge, MJ & Fleming, KM All-cause and cause-specific mortality rates of patients treated for alcohol use disorders: a meta-analysis. noun A bus. 39509–517 (2018).

    Google Scholar PubMed

  • Kim, S.J. & Kim, D.-J. Alcoholism and diabetes mellitus. Diabetes Metab. J 36108–115 (2012).

    PubMed PubMed Central Google Scholar

  • Levey, AS et al. A new equation for estimating glomerular filtration rate. Ann. Internal. Med. 150604–612 (2009).

    PubMed PubMed Central Google Scholar

  • Ryan, MC, Fenster Farin, HM, Abbasi, F. & Reaven, GM Comparison of waist circumference versus body mass index in the diagnosis of metabolic syndrome and identification of apparently healthy subjects at risk increased cardiovascular disease. A m. J. Cardiol. 10240–46 (2008).

    Google Scholar PubMed

  • Jayedi, A., Soltani, S., Zargar, MS, Khan, TA & Shab-Bidar, S. Central adiposity and risk of all-cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies. BMJ 370m3324 (2020).

    PubMed PubMed Central Google Scholar

  • Guallar-Castillon, P. et al. Extent and management of the metabolic syndrome in Spain in 2008-2010: the ENRICA study. Rev. Española Cardiol. (English ed.) 67367–373 (2014).

    Google Scholar

  • Kassi, E., Pervanidou, P., Kaltsas, G. & Chrousos, G. Metabolic syndrome: definitions and controversies. BMC Med. 948 (2011).

    PubMed PubMed Central Google Scholar

  • Zhang, X. & Lerman, LO Metabolic syndrome and chronic kidney disease. Transl. Res. 18314–25 (2017).

    CAS PubMed Google Scholar

  • Garofalo, C. et al. A systematic review and meta-analysis suggest that obesity predicts the onset of chronic kidney disease in the general population. Kidney Int. 911224-1235 (2017).

    Google Scholar PubMed

  • Yamagata, K. et al. Effect of behavior modification on outcome in early-to-moderate chronic kidney disease: a cluster-randomised trial. PLoS One 11e0151422 (2016).

    PubMed PubMed Central Google Scholar

  • Câmara, NOS, Iseki, K., Kramer, H., Liu, ZH and Sharma, K. Kidney disease and obesity: epidemiology, mechanisms and treatment. Nat. Rev. Nephrol. 13181-190 (2017).

    Google Scholar PubMed

  • Park, S. et al. Reduced risk of chronic kidney disease after recovery from metabolic syndrome: a national population-based study. Kidney Res. Clin. Practice. 39180-191 (2020).

    PubMed PubMed Central Google Scholar

  • Choi, J.I. et al. The association between obesity phenotypes and early decline in renal function in adults without hypertension, dyslipidemia and diabetes. Korean J. Fam. Med. 40176–181 (2019).

    PubMed PubMed Central Google Scholar

  • Wu, Z. et al. Metabolic syndrome is associated with a rapid decrease in estimated glomerular filtration rate in a Chinese communal population. Diabetes Metab. syndr. Obese. Thermal targets. 122085-2093 (2019).

    CAS Google Scholar

  • Kawamoto, R., Akase, T., Ninomiya, D., Kumagi, T. & Kikuchi, A. Metabolic syndrome is a predictor of decreased kidney function in middle-aged and elderly Japanese living in the community . Int. Urol. Nephrol. 512285-2294 (2019).

    CAS PubMed Google Scholar

  • Lee, DS et al. Gamma glutamyl transferase and metabolic syndrome, cardiovascular disease and mortality risk: The Framingham Heart Study. Arterioscler. Thromb. Vasc. Biol. 27127–133 (2007).

    CAS PubMed Google Scholar

  • Voruganti, VS et al. Genetic influence on variation in serum uric acid among American Indians: the strong heart family study. Hmm. Broom. 126667–676 (2009).

    CAS PubMed PubMed Central Google Scholar

  • Kunutsor, SK, Apekey, TA & Seddoh, D. Gamma glutamyltransferase and risk of metabolic syndrome: systematic review and dose-response meta-analysis. Int. J. Clin. Practice. 69136–144 (2015).

    CAS PubMed Google Scholar

  • Bonomini, F., Rodella, LF & Rezzani, R. Metabolic syndrome, aging and the involvement of oxidative stress. Aging Dis. 6109-120 (2015).

    PubMed PubMed Central Google Scholar

  • Bo, S. et al. Associations between gamma-glutamyl transferase, metabolic abnormalities and inflammation in healthy subjects from a population-based cohort: a possible implication for oxidative stress. World J. Gastroenterol. 117109–7117 (2005).

    CAS PubMed PubMed Central Google Scholar

  • Koenig, G. & Seneff, S. Gamma-Glutamyltransferase: a predictive biomarker of cellular antioxidant insufficiency and disease risk. Say. Mark. 2015818570 (2015).

    Google Scholar

  • Lai, X. et al. Dose-response relationship between serum uric acid levels and risk of incident coronary heart disease in the Dongfeng-Tongji cohort. Int. J. Cardiol. 224299–304 (2016).

    Google Scholar PubMed

  • Yadav, D. et al. Prospective study of serum uric acid levels and incident metabolic syndrome in a Korean rural cohort. Atherosclerosis 241271–277 (2015).

    CAS PubMed Google Scholar

  • Lil. et al. Is hyperuricemia an independent risk factor for new-onset chronic kidney disease? : A systematic review and meta-analysis based on observational cohort studies. BMC Nephrol. 15122 (2014).

    PubMed PubMed Central Google Scholar

  • Razzouk, L. & Muntner, P. Ethnic, sex, and age differences in patients with metabolic syndrome. Running. Hypertens. representing 11127-132 (2009).

    Google Scholar PubMed

  • Jiang, B. et al. Age and sex distribution of metabolic syndrome components in eastern China: role of hypertriglyceridemia in the SPECT-China study. Lipids Health Dis. 1792 (2018).

    PubMed PubMed Central Google Scholar

  • Yamaki, N. et al. Telomere shortening in alcohol dependence: roles of alcohol and acetaldehyde. J. Psychiatrist. Res. 10927–32 (2019).

    Google Scholar PubMed

  • Wu, HF et al. Age, gender, and socioeconomic gradients in metabolic syndrome: biomarker evidence from a large sample in Taiwan, 2005-2013. Ann. Epidemiol. 27315-322.e2 (2017).

    Google Scholar PubMed