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- Title
Red blood cell distribution width and carotid intima-media thickness in patients with metabolic syndrome.
- Authors
Dongdong Ren; Juan Wang; Hua Li; Yanyan Li; Zhanzhan Li; Ren, Dongdong; Wang, Juan; Li, Hua; Li, Yanyan; Li, Zhanzhan
- Abstract
<bold>Background: </bold>To evaluate the relationship between red blood cell distribution width (RDW) and carotid intima-media thickness (CIMT) in metabolic syndrome (MetS) patients.<bold>Methods: </bold>In this study, we analyzed 803 patients with MetS who underwent carotid ultrasonography examination at Henan Province Hospital of Traditional Chinese Medicine from October 2014 to September 2015. Demographic data were collected using a questionnaire. An automatic biochemistry analyzer measured RDW. Pearson correlation coefficient, multivariate linear and logistic regression was used to evaluate the correlation between RDW and CIMT.<bold>Results: </bold>Compared with control group, case group had higher RDW level (P < 0.001) and CIMT (P < 0.001). CIMT was positively related to RDW (r = 0.436, P < 0.001). Logistic regression indicated that RDW was a predictor of CIMT ≥ 1 mm. Compared with the first quartile, people with third and fourth quartile level gave obvious higher risk of carotid artery atherosclerotic trend (OR = 1.41, 95% CI:1.01-197; OR = 2.10, 95% CI: 1.30-3.40). Using a cutoff point of 13.9%, RDW predicts elevated CIMT with a sensitivity of 62.1% and a specificity of 70.3%.<bold>Conclusion: </bold>High RDW is related to the increased CIMT in MetS patients, which highlights the role of RDW in the progression of elevated CIMT in MetS patients.
- Subjects
CHINA; ERYTHROCYTES; CAROTID intima-media thickness; METABOLIC syndrome; ULTRASONIC imaging; LOGISTIC regression analysis; PATIENTS; BLOOD testing; CAROTID artery diseases; CHI-squared test; MULTIVARIATE analysis; PHARMACOKINETICS; PROGNOSIS; REGRESSION analysis; PREDICTIVE tests; CROSS-sectional method; RECEIVER operating characteristic curves; DISEASE progression; ODDS ratio
- Publication
BMC Cardiovascular Disorders, 2017, Vol 17, p1
- ISSN
1471-2261
- Publication type
journal article
- DOI
10.1186/s12872-017-0481-x