Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13106
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dc.contributor.authorChuengsamarn S.
dc.contributor.authorRattanamongkolgul S.
dc.contributor.authorSittithumcharee G.
dc.contributor.authorJirawatnotai S.
dc.date.accessioned2021-04-05T03:22:20Z-
dc.date.available2021-04-05T03:22:20Z-
dc.date.issued2017
dc.identifier.issn18714021
dc.identifier.other2-s2.0-85008627653
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13106-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85008627653&doi=10.1016%2fj.dsx.2016.08.012&partnerID=40&md5=dc7e4bc70fe517b0c4cc10bc3e0ab2c0
dc.description.abstractAims To determine an association between hs-CRP and metabolic control/diabetic chronic vascular complications (DCVCCxs) in the patients with type 2 diabetes (DM). In addition, the possibility of using hs-CRP levels to predict risk of DCVCCxs will also be validated. Methods This cohort study randomly enrolled 608 patients with DM during the 2007–2008 study period. We also recorded basic laboratory findings at baseline and at one year, to include fasting plasma glucose, HbA1c, triglyceride, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and hs-CRP. Results Logistic regressions of odds ratios between hs-CRP and DCVCCxs (coronary arterial disease, cerebrovascular disease, diabetic nephropathy, diabetic retinopathy, and diabetic peripheral neuropathy) showed significant correlations, except for cerebrovascular disease, as follows 0.2 (0.11–0.38), 0.09 (0.01–0.77), 0.06 (0.02–0.16), 0.31 (0.12–0.82), and 0.17 (0.07–0.43), respectively. Linear regression for changes in hs-CRP were significantly correlated with HbA1c (r = 0.38), fasting plasma glucose (r = 0.40), triglyceride (r = 0.20), low-density lipoprotein cholesterol (r = 0.12), and high-density lipoprotein cholesterol (r = −0.12). No correlation was found for total cholesterol (r = 0.06). Based on receiver operating characteristic (ROC) analysis, the cut-off points for hs-CRP levels for prediction of DCVCCxs were 2.89, 2.25, 2.10, 2.25, and 2.82 mg/L, for coronary arterial disease, cerebrovascular disease, diabetic nephropathy, diabetic retinopathy, and diabetic peripheral neuropathy, respectively. Conclusions Our data showed that DCVCCxs were associated with hs-CRP in patients with DM. The cut-off point for hs-CRP can be used to predict association with DCVCCxs. Well-controlled metabolic components in diabetic patients, especially HbA1c, fasting plasma glucose, and triglyceride may reduce the level of hs-CRP. © 2016 Diabetes India
dc.subjectC reactive protein
dc.subjectglucose
dc.subjecthemoglobin A1c
dc.subjecthigh density lipoprotein cholesterol
dc.subjectlow density lipoprotein cholesterol
dc.subjecttriacylglycerol
dc.subjectC reactive protein
dc.subjectglycosylated hemoglobin
dc.subjecthemoglobin A1c protein, human
dc.subjecttriacylglycerol
dc.subjectadult
dc.subjectArticle
dc.subjectcerebrovascular disease
dc.subjectcholesterol blood level
dc.subjectcohort analysis
dc.subjectcoronary artery disease
dc.subjectdiabetic nephropathy
dc.subjectdiabetic neuropathy
dc.subjectdiabetic patient
dc.subjectdiabetic retinopathy
dc.subjectfemale
dc.subjectglucose blood level
dc.subjecthemoglobin blood level
dc.subjecthuman
dc.subjectlaboratory test
dc.subjectmajor clinical study
dc.subjectmale
dc.subjectmetabolic regulation
dc.subjectmiddle aged
dc.subjectnon insulin dependent diabetes mellitus
dc.subjectperipheral neuropathy
dc.subjectpriority journal
dc.subjecttriacylglycerol blood level
dc.subjectaged
dc.subjectblood
dc.subjectcomplication
dc.subjectdiabetic angiopathy
dc.subjectmetabolism
dc.subjectnon insulin dependent diabetes mellitus
dc.subjectAdult
dc.subjectAged
dc.subjectBlood Glucose
dc.subjectC-Reactive Protein
dc.subjectCohort Studies
dc.subjectDiabetes Mellitus, Type 2
dc.subjectDiabetic Angiopathies
dc.subjectFemale
dc.subjectGlycated Hemoglobin A
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectTriglycerides
dc.titleAssociation of serum high-sensitivity C-reactive protein with metabolic control and diabetic chronic vascular complications in patients with type 2 diabetes
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationDiabetes and Metabolic Syndrome: Clinical Research and Reviews. Vol 11, No.2 (2017), p.103-108
dc.identifier.doi10.1016/j.dsx.2016.08.012
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