Abstract Background: Inflammation, which is associated with an unhealthy lifestyle, plays a critical role in the development of both cardiometabolic diseases (CMD) and cancer. Carcinoembryonic antigen (CEA) is a tumor marker which also has proinflammatory properties. Recent studies have reported CEA to be associated with atherosclerosis, metabolic syndrome, and visceral adiposity. Epicardial adipose tissue (EAT) can exhibit highly inflammatory and pathogenic properties, and is a known risk factor for CMD. However, its relationship with CEA is still unknown. Objectives: This study aimed to investigate the possible association of CEA with EAT. Methods: A total of 134 Caucasian (males = 56, females = 78) individuals, aged (22-83 years), who were admitted for routine health control, were enrolled in this cross-sectional study. CEA was measured with chemiluminescent microparticle immunoassay (CMIA). EAT was measured by transthoracic echocardiography, and the visceral fat rating (VFR) was assessed by a body composition analyzing machine. The p-value <0.05 was considered statistically significant. Results: CEA levels were categorized as tertiles: T1, 0.5-1.04; T2, 1.06–1.69; and T3, ≥1.7 ng/ml. The mean age, weight, VFR, EAT, and fasting glucose, as well as the median of systolic blood pressure (SBP), creatinine, and AST increased with the increasing CEA tertiles. CEA was significantly associated with EAT (r = 0.55, P<0.001) and VFR (r = 0.36, P<0.001). Multivariate linear regression analysis confirmed that gender, age, and EAT were the significant independent variables associated with CEA. Conclusion: Individuals with increased EAT have higher levels of CEA, suggesting that this biomarker is most likely produced by EAT; however, additional investigations are required to improve the present work.

Resumo Fundamentos A determinação precisa do colesterol de lipoproteína de baixa densidade (LDL-C) é importante para se alcançar concentrações de LDL-C recomendadas por diretrizes e para reduzir resultados cardiovasculares adversos em pacientes diabéticos. A equação de Friedewald comumente usada (LDL-Cf) produz resultados imprecisos em pacientes diabéticos devido a dislipidemia diabética associada. Recentemente, duas novas equações – Martin/Hopkins (LDL-CMH) e Sampson (LDL-Cs) – foram desenvolvidas para melhorar a precisão da estimativa de LDL-C, mas os dados são insuficientes para sugerir a superioridade de uma equação sobre a outra. Objetivos O presente estudo comparou a precisão e a utilidade clínica das novas equações de Martin/Hopkins e Sampson em pacientes diabéticos. Método Foram incluídos no estudo quatrocentos e dois (402) pacientes com diabetes. O risco cardiovascular dos pacientes e as metas de LDL-C foram calculadas por diretrizes europeias. As concentrações de LDL-Cmh, LDL-Cs, e LDL-Cf calculadas foram comparadas à concentração de LDL-C direto (LDL-Cd) para testar a concordância entre essas equações e LDL-Cd. Um P valor <0,05 foi aceito como estatisticamente significativo. Resultados A LDL-CMH e a LDL-Cs tiveram concordância melhor com o LDL-Cd em comparação com a LDL-Cf, mas não houve diferenças estatísticas entre as novas equações para concordância com o LDL-Cd (Alfa de Cronbach de 0,955 para ambos, p=1). Da mesma forma, a LDL-CMH e a LDL-Cs tinham um grau semelhante de concordância com o LDL-Cd para determinar se o paciente estava dentro da meta de LDL-C (96,3% para LDL-Cmh e 96,0% para LDL-Cs), que eram ligeiramente melhores que a LDL-Cf (94,6%). Em pacientes com uma concentração de triglicérides >400 mg/dl, a concordância com o LDL-Cd foi ruim, independentemente do método usado. Conclusão As equações de Martin/Hopkins e Sampson mostram uma precisão similar para o cálculo de concentrações de LDL-C nos pacientes com diabetes, e ambas as equações são ligeiramente melhores que a equação de Friedewald.

Abstract Background The accurate determination of low-density lipoprotein cholesterol (LDL-C) is important to reach guideline-recommended LDL-C concentrations and to reduce adverse cardiovascular outcomes in diabetic patients. The commonly used Friedewald equation (LDL-Cf), gives inaccurate results in diabetic patients due to accompanying diabetic dyslipidemia. Recently two new equations – Martin/Hopkins (LDL-Cmh) and Sampson (LDL-Cs) – were developed to improve the accuracy of LDL-C estimation, but data are insufficient to suggest the superiority of one equation over the other one. Objective The present study compared the accuracy and clinical usefulness of novel Martin/Hopkins and Sampson equations in diabetic patients. Methods This study included 402 patients with diabetes. Patients’ cardiovascular risk and LDL-C targets were calculated per European guidelines. Calculated LDL-Cmh, LDL-Cs, and LDL-Cf concentrations were compared with direct LDL-C concentration (LDL-Cd) to test agreement between these equations and LDL-Cd. A p-value <0.05 was accepted as statistically significant. Results Both LDL-Cmh and LDL-Cs had a better agreement with LDL-Cd as compared to LDL-Cf, but no statistical differences were found among novel equations for agreement with LDL-Cd (Cronbach’s alpha 0.955 for both, p=1). Likewise, LDL-Cmh and LDL-Cs showed a similar degree of agreement with LDL-Cd in determining whether a patient was in a guideline-recommended LDL-C target (96.3% for LDL-Cmh and 96.0% for LDL-Cs), which were marginally better than LDL-Cf (94.6%). In patients with a triglyceride concentration >400 mg/dl, agreement with LDL-Cd was poor, regardless of the method used. Conclusion Martin/Hopkins and Sampson’s equations show a similar accuracy for calculating LDL-C concentrations in patients with diabetes, and both equations were marginally better than the Friedewald equation.