Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
JCR Impact Factor (IF) – 2.1
5-Year Impact Factor – 2.2
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Index Copernicus  – 161.11; MEiN – 140 pts

ISSN 1899–5276 (print)
ISSN 2451-2680 (online)
Periodicity – monthly

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Advances in Clinical and Experimental Medicine

2014, vol. 23, nr 6, November-December, p. 907–912

Publication type: original article

Language: English

The Role of Metabolic Syndrome and Related Clinical Variables in Determining CEA Levels

Alireza Esteghamati1,A,E,F, Ali Zandieh1,A,B,C,D, Afshin Saadipoor1,B,C, Nima Hafezi-Nejad1,B,C,D, Sina Noshad1,B,C,D, Abdoulreza Esteghamati1,2,E,F, Seyedomid Seyedahmadinejad1,B, Manouchehr Nakhjavani1,E,F

1 Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

2 Department of Pediatrics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran


Objectives. The aim of the study was to investigate how metabolic syndrome (MetS) and related clinical variables correlate with high levels of carcinoembryonic antigen (CEA).
Material and Methods. Variables related to MetS as well as the serum CEA levels of 366 subjects were assayed. Logistic regression analyses were used to determine the associations between various clinical variables and high CEA levels, which were defined as values greater than the median (i.e., 1.4 ng/mL).
Results. MetS, as an entity, and diabetes were more prevalent in subjects with high CEA levels (for MetS: 64.2% in subjects with CEA ≥ 1.4 vs. 51.1% in subjects with CEA < 1.4 ng/mL, p < 0.05; for diabetes: 72.6% vs. 59.1% respectively, p < 0.05). Waist circumference, triglycerides, fasting plasma glucose (FPG), homeostasis-model assessment of insulin resistance index (HOMA-IR), and HbA1c as well as systolic and diastolic blood pressures were directly associated with CEA levels, after adjusting for age and sex (p < 0.05). Subjects with a greater number of MetS components tended to have high CEA levels. Multivariate regression analysis revealed that the association of waist circumference and FPG with CEA is independent of other MetS components, age and sex.
Conclusion. MetS and related clinical variables contribute to CEA values. Thus, the reference interval of CEA may differ according to the clinical status of the subjects.

Key words

CEA, metabolic syndrome, obesity, insulin resistance.

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