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Article: Association between serum alkaline phosphatase and C-reactive protein in the United States National Health and Nutrition Examination Survey 2005-2006

TitleAssociation between serum alkaline phosphatase and C-reactive protein in the United States National Health and Nutrition Examination Survey 2005-2006
Authors
Issue Date2010
PublisherWalter de Gruyter GmbH & Co KG. The Journal's web site is located at http://www.degruyter.de/journals/cclm
Citation
Clinical Chemistry And Laboratory Medicine, 2010, v. 48 n. 2, p. 167-173 How to Cite?
AbstractBackground: Alkaline phosphatase (ALP) is a widely used marker for skeletal and hepatobiliary disorders, but its activity is also increased in atherosclerosis and peripheral vascular disease. It is an inflammatory marker like C-reactive protein (CRP). We therefore analyzed its relationship with CRP in the United States National Health and Nutrition Examination Survey (NHANES) 2005-2006. Methods: The analysis included 4155 men and non-pregnant women over the age of 20 years. The relationship between log-transformed ALP and plasma CRP was analyzed using univariate and multivariate models. Results: ALP activity was significantly correlated with age, waist circumference, body mass index, blood pressure, exercise, alcohol, triglycerides, and other liver enzymes after adjusting for age, gender and ethnicity (p<0.001). ALP was significantly associated with a higher frequency of cardiovascular disease (p=0.02), hypertension (p=0.01) hypercholesterolemia (p=0.04), and diabetes (p=0.02). Compared to the lowest quartile of ALP, the adjusted odds ratio (OR) associated with the highest quartile were 1.9 [95% confidence intervals (CI) 1.1-3.5], 1.6 (95% CI 1.0-2.5), 1.5 (95% CI 1.1-2.1) and 1.7 (95% CI 1.0-2.4) for cardiovascular disease, hypertension, hypercholesterolemia, and diabetes, respectively. In multivariate analysis, log ALP was an independent predictor of log CRP (p=1.0×10-6). A multivariate model that included log ALP, ethnicity, glycohemoglobin, waist circumference, albumin, apolipoprotein B, γ-glutamyltransferase and uric acid explained 40% of the variance in log CRP. Conclusions: ALP is a marker of cardiometabolic risk, but it needs to be tested as part of a multivariate model in prospective studies. © 2010 by Walter de Gruyter Berlin New York.
Persistent Identifierhttp://hdl.handle.net/10722/91603
ISSN
2015 Impact Factor: 3.017
2015 SCImago Journal Rankings: 0.873
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWebber, Men_HK
dc.contributor.authorKrishnan, Aen_HK
dc.contributor.authorThomas, NGen_HK
dc.contributor.authorCheung, BMYen_HK
dc.date.accessioned2010-09-17T10:22:03Z-
dc.date.available2010-09-17T10:22:03Z-
dc.date.issued2010en_HK
dc.identifier.citationClinical Chemistry And Laboratory Medicine, 2010, v. 48 n. 2, p. 167-173en_HK
dc.identifier.issn1434-6621en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91603-
dc.description.abstractBackground: Alkaline phosphatase (ALP) is a widely used marker for skeletal and hepatobiliary disorders, but its activity is also increased in atherosclerosis and peripheral vascular disease. It is an inflammatory marker like C-reactive protein (CRP). We therefore analyzed its relationship with CRP in the United States National Health and Nutrition Examination Survey (NHANES) 2005-2006. Methods: The analysis included 4155 men and non-pregnant women over the age of 20 years. The relationship between log-transformed ALP and plasma CRP was analyzed using univariate and multivariate models. Results: ALP activity was significantly correlated with age, waist circumference, body mass index, blood pressure, exercise, alcohol, triglycerides, and other liver enzymes after adjusting for age, gender and ethnicity (p<0.001). ALP was significantly associated with a higher frequency of cardiovascular disease (p=0.02), hypertension (p=0.01) hypercholesterolemia (p=0.04), and diabetes (p=0.02). Compared to the lowest quartile of ALP, the adjusted odds ratio (OR) associated with the highest quartile were 1.9 [95% confidence intervals (CI) 1.1-3.5], 1.6 (95% CI 1.0-2.5), 1.5 (95% CI 1.1-2.1) and 1.7 (95% CI 1.0-2.4) for cardiovascular disease, hypertension, hypercholesterolemia, and diabetes, respectively. In multivariate analysis, log ALP was an independent predictor of log CRP (p=1.0×10-6). A multivariate model that included log ALP, ethnicity, glycohemoglobin, waist circumference, albumin, apolipoprotein B, γ-glutamyltransferase and uric acid explained 40% of the variance in log CRP. Conclusions: ALP is a marker of cardiometabolic risk, but it needs to be tested as part of a multivariate model in prospective studies. © 2010 by Walter de Gruyter Berlin New York.en_HK
dc.languageengen_HK
dc.publisherWalter de Gruyter GmbH & Co KG. The Journal's web site is located at http://www.degruyter.de/journals/cclmen_HK
dc.relation.ispartofClinical Chemistry and Laboratory Medicineen_HK
dc.subject.meshAge Factorsen_HK
dc.subject.meshAlkaline Phosphatase - blooden_HK
dc.subject.meshBlood Pressureen_HK
dc.subject.meshBody Weights and Measuresen_HK
dc.subject.meshC-Reactive Protein - metabolismen_HK
dc.subject.meshCardiovascular Diseases - epidemiology - ethnology - metabolismen_HK
dc.subject.meshDiabetes Mellitus - epidemiology - ethnology - metabolismen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshHealth Surveysen_HK
dc.subject.meshHumansen_HK
dc.subject.meshHypercholesterolemia - epidemiology - ethnology - metabolismen_HK
dc.subject.meshHypertension - epidemiologyen_HK
dc.subject.meshLipids - blooden_HK
dc.subject.meshLiver - enzymologyen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMultivariate Analysisen_HK
dc.subject.meshNutrition Surveysen_HK
dc.subject.meshProspective Studiesen_HK
dc.subject.meshRisk Factorsen_HK
dc.subject.meshSex Factorsen_HK
dc.subject.meshUnited States - epidemiologyen_HK
dc.titleAssociation between serum alkaline phosphatase and C-reactive protein in the United States National Health and Nutrition Examination Survey 2005-2006en_HK
dc.typeArticleen_HK
dc.identifier.emailCheung, BMY:mycheung@hku.hken_HK
dc.identifier.authorityCheung, BMY=rp01321en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1515/CCLM.2010.052en_HK
dc.identifier.pmid19958209-
dc.identifier.scopuseid_2-s2.0-76649129005en_HK
dc.identifier.hkuros179999-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-76649129005&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume48en_HK
dc.identifier.issue2en_HK
dc.identifier.spage167en_HK
dc.identifier.epage173en_HK
dc.identifier.eissn1437-4331-
dc.identifier.isiWOS:000274286000003-
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridWebber, M=36017887400en_HK
dc.identifier.scopusauthoridKrishnan, A=36016715500en_HK
dc.identifier.scopusauthoridThomas, NG=36017663800en_HK
dc.identifier.scopusauthoridCheung, BMY=7103294806en_HK
dc.identifier.citeulike6870680-

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