Association of Urine Metanephrine Levels with CardiometaBolic Risk: An Observational Retrospective Study
No research has explored the role of catecholamine metabolites in the stratification of cardiovascular risk. We aimed to evaluate the relationship between urine metanephrines and cardiometabolic risk/complications. In this retrospective cross-sectional study, we collected the data of 1374 patients s...
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Published in | Journal of clinical medicine Vol. 10; no. 9; p. 1967 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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04.05.2021
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Abstract | No research has explored the role of catecholamine metabolites in the stratification of cardiovascular risk. We aimed to evaluate the relationship between urine metanephrines and cardiometabolic risk/complications. In this retrospective cross-sectional study, we collected the data of 1374 patients submitted to the evaluation of urine metanephrines at the City of Health and Science University Hospital of Turin between 2007 and 2015, mainly for investigating the suspicion of secondary hypertension or the secretion of an adrenal lesion. The univariate analysis showed associations between metanephrines and cardiometabolic variables/parameters, particularly considering noradrenaline metabolite. At univariate regression, normetanephrine was associated with hypertensive cardiomyopathy (OR = 1.18, 95% CI 1.11–1.25; p < 0.001) and metabolic syndrome (OR = 1.11, 95% CI 1.03–1.20; p = 0.004), while metanephrine was associated with hypertensive cardiomyopathy (OR = 1.23, 95% CI 1.06–1.43; p = 0.006) and microalbuminuria (OR = 1.30, 95% CI 1.03–1.60; p = 0.018). At multivariate regression, considering all major cardiovascular risk factors as possible confounders, normetanephrine retained a significant association with hypertensive cardiomyopathy (OR = 1.14, 95% CI 1.07–1.22; p < 0.001) and metabolic syndrome (OR = 1.10, 95% CI 1.02–1.19; p = 0.017). Moreover, metanephrine retained a significant association with the presence of hypertensive cardiomyopathy (OR = 1.18, 95% CI 1.01–1.41; p = 0.049) and microalbuminuria (OR = 1.34, 95% CI 1.03–1.69; p = 0.019). The study showed a strong relationship between metanephrines and cardiovascular complications/metabolic alterations. Individuals with high levels of these indirect markers of sympathetic activity should be carefully monitored, and they may benefit from an aggressive treatment to reduce the cardiometabolic risk. |
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AbstractList | No research has explored the role of catecholamine metabolites in the stratification of cardiovascular risk. We aimed to evaluate the relationship between urine metanephrines and cardiometabolic risk/complications. In this retrospective cross-sectional study, we collected the data of 1374 patients submitted to the evaluation of urine metanephrines at the City of Health and Science University Hospital of Turin between 2007 and 2015, mainly for investigating the suspicion of secondary hypertension or the secretion of an adrenal lesion. The univariate analysis showed associations between metanephrines and cardiometabolic variables/parameters, particularly considering noradrenaline metabolite. At univariate regression, normetanephrine was associated with hypertensive cardiomyopathy (OR = 1.18, 95% CI 1.11–1.25; p < 0.001) and metabolic syndrome (OR = 1.11, 95% CI 1.03–1.20; p = 0.004), while metanephrine was associated with hypertensive cardiomyopathy (OR = 1.23, 95% CI 1.06–1.43; p = 0.006) and microalbuminuria (OR = 1.30, 95% CI 1.03–1.60; p = 0.018). At multivariate regression, considering all major cardiovascular risk factors as possible confounders, normetanephrine retained a significant association with hypertensive cardiomyopathy (OR = 1.14, 95% CI 1.07–1.22; p < 0.001) and metabolic syndrome (OR = 1.10, 95% CI 1.02–1.19; p = 0.017). Moreover, metanephrine retained a significant association with the presence of hypertensive cardiomyopathy (OR = 1.18, 95% CI 1.01–1.41; p = 0.049) and microalbuminuria (OR = 1.34, 95% CI 1.03–1.69; p = 0.019). The study showed a strong relationship between metanephrines and cardiovascular complications/metabolic alterations. Individuals with high levels of these indirect markers of sympathetic activity should be carefully monitored, and they may benefit from an aggressive treatment to reduce the cardiometabolic risk. No research has explored the role of catecholamine metabolites in the stratification of cardiovascular risk. We aimed to evaluate the relationship between urine metanephrines and cardiometabolic risk/complications. In this retrospective cross-sectional study, we collected the data of 1374 patients submitted to the evaluation of urine metanephrines at the City of Health and Science University Hospital of Turin between 2007 and 2015, mainly for investigating the suspicion of secondary hypertension or the secretion of an adrenal lesion. The univariate analysis showed associations between metanephrines and cardiometabolic variables/parameters, particularly considering noradrenaline metabolite. At univariate regression, normetanephrine was associated with hypertensive cardiomyopathy (OR = 1.18, 95% CI 1.11–1.25; p < 0.001) and metabolic syndrome (OR = 1.11, 95% CI 1.03–1.20; p = 0.004), while metanephrine was associated with hypertensive cardiomyopathy (OR = 1.23, 95% CI 1.06–1.43; p = 0.006) and microalbuminuria (OR = 1.30, 95% CI 1.03–1.60; p = 0.018). At multivariate regression, considering all major cardiovascular risk factors as possible confounders, normetanephrine retained a significant association with hypertensive cardiomyopathy (OR = 1.14, 95% CI 1.07–1.22; p < 0.001) and metabolic syndrome (OR = 1.10, 95% CI 1.02–1.19; p = 0.017). Moreover, metanephrine retained a significant association with the presence of hypertensive cardiomyopathy (OR = 1.18, 95% CI 1.01–1.41; p = 0.049) and microalbuminuria (OR = 1.34, 95% CI 1.03–1.69; p = 0.019). The study showed a strong relationship between metanephrines and cardiovascular complications/metabolic alterations. Individuals with high levels of these indirect markers of sympathetic activity should be carefully monitored, and they may benefit from an aggressive treatment to reduce the cardiometabolic risk. |
Author | Ghigo, Ezio Parasiliti-Caprino, Mirko Obert, Chiara Lopez, Chiara Bioletto, Fabio Settanni, Fabio Gasco, Valentina Maccario, Mauro Egalini, Filippo Berton, Alessandro Maria Mengozzi, Giulio Prencipe, Nunzia Bollati, Martina Bima, Chiara |
AuthorAffiliation | 1 Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, City of Health and Science University Hospital, University of Turin, 10126 Turin, Italy; chiara.obert@unito.it (C.O.); chiara.lopez@fastewebnet.it (C.L.); bollati.martina@gmail.com (M.B.); fabio.bioletto@unito.it (F.B.); chiara.bimetta@gmail.com (C.B.); filippoegalini@gmail.com (F.E.); alessandro.m.berton@gmail.com (A.M.B.); nunzia.prencipe@gmail.com (N.P.); valentina.gasco@unito.it (V.G.); ezio.ghigo@unito.it (E.G.); mauro.maccario@unito.it (M.M.) 2 Clinical Biochemistry Laboratory, City of Health and Science University Hospital, 10126 Turin, Italy; fabio.settanni@unito.it (F.S.); giulio.mengozzi@unito.it (G.M.) |
AuthorAffiliation_xml | – name: 2 Clinical Biochemistry Laboratory, City of Health and Science University Hospital, 10126 Turin, Italy; fabio.settanni@unito.it (F.S.); giulio.mengozzi@unito.it (G.M.) – name: 1 Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, City of Health and Science University Hospital, University of Turin, 10126 Turin, Italy; chiara.obert@unito.it (C.O.); chiara.lopez@fastewebnet.it (C.L.); bollati.martina@gmail.com (M.B.); fabio.bioletto@unito.it (F.B.); chiara.bimetta@gmail.com (C.B.); filippoegalini@gmail.com (F.E.); alessandro.m.berton@gmail.com (A.M.B.); nunzia.prencipe@gmail.com (N.P.); valentina.gasco@unito.it (V.G.); ezio.ghigo@unito.it (E.G.); mauro.maccario@unito.it (M.M.) |
Author_xml | – sequence: 1 givenname: Mirko orcidid: 0000-0002-6930-7073 surname: Parasiliti-Caprino fullname: Parasiliti-Caprino, Mirko – sequence: 2 givenname: Chiara surname: Obert fullname: Obert, Chiara – sequence: 3 givenname: Chiara surname: Lopez fullname: Lopez, Chiara – sequence: 4 givenname: Martina surname: Bollati fullname: Bollati, Martina – sequence: 5 givenname: Fabio orcidid: 0000-0001-7550-7023 surname: Bioletto fullname: Bioletto, Fabio – sequence: 6 givenname: Chiara surname: Bima fullname: Bima, Chiara – sequence: 7 givenname: Filippo surname: Egalini fullname: Egalini, Filippo – sequence: 8 givenname: Alessandro Maria orcidid: 0000-0002-4745-2624 surname: Berton fullname: Berton, Alessandro Maria – sequence: 9 givenname: Nunzia surname: Prencipe fullname: Prencipe, Nunzia – sequence: 10 givenname: Fabio surname: Settanni fullname: Settanni, Fabio – sequence: 11 givenname: Valentina surname: Gasco fullname: Gasco, Valentina – sequence: 12 givenname: Giulio orcidid: 0000-0003-0431-8369 surname: Mengozzi fullname: Mengozzi, Giulio – sequence: 13 givenname: Ezio surname: Ghigo fullname: Ghigo, Ezio – sequence: 14 givenname: Mauro surname: Maccario fullname: Maccario, Mauro |
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Snippet | No research has explored the role of catecholamine metabolites in the stratification of cardiovascular risk. We aimed to evaluate the relationship between... |
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StartPage | 1967 |
SubjectTerms | Clinical medicine Creatinine Dopamine Hypertension Metabolic syndrome Metabolites Sample size Urine Womens health |
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Title | Association of Urine Metanephrine Levels with CardiometaBolic Risk: An Observational Retrospective Study |
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