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Lipids Health Dis ; 23(1): 153, 2024 May 23.
Artigo em Inglês | MEDLINE | ID: mdl-38783361

RESUMO

BACKGROUND: With the development of pathophysiology, cardiorenal syndrome (CRS), a complex and severe disease, has received increasing attention. Monocyte to high-density lipoprotein-cholesterol ratio (MHR) and body mass index (BMI) are independent risk factors for cardiovascular diseases, but their association with CRS remains unexplored. This study aims to explore the independent and joint effects of MHR and BMI on CRS. METHODS: We included 42,178 NHANES participants. The determination of CRS referred to the simultaneous presence of cardiovascular disease (identified through self-report) and chronic kidney disease (eGFR < 60 mL/min per 1.73 m²). We employed multivariate weighted logistic regression to evaluate the odds ratio (OR) and 95% confidence interval (CI) for the independent and joint associations of MHR and BMI with CRS. We also conducted restricted cubic spines to explore nonlinear associations. RESULTS: The prevalence of CRS was 3.45% among all participants. An increase in both MHR and BMI is associated with a higher risk of CRS (MHR: OR = 1.799, 95% CI = 1.520-2.129, P < 0.001, P-trend < 0.001; BMI: OR = 1.037, 95% CI = 1.023-1.051, P < 0.001). Individuals who simultaneously fall into the highest quartile of MHR and have a BMI of 30 or more face the highest risk of CRS compared to those in the lowest MHR quartile with a BMI of less than 25 (OR = 3.45, 95% CI = 2.40-4.98, P < 0.001). However, there is no interactive association between MHR and BMI with CRS. CONCLUSIONS: Higher MHR and BMI are associated with higher odds of CRS. MHR and BMI can serve as tools for early prevention and intervention of CRS, respectively.


Assuntos
Índice de Massa Corporal , Síndrome Cardiorrenal , HDL-Colesterol , Monócitos , Humanos , Masculino , Feminino , Monócitos/metabolismo , Pessoa de Meia-Idade , Síndrome Cardiorrenal/sangue , Síndrome Cardiorrenal/epidemiologia , HDL-Colesterol/sangue , Idoso , Fatores de Risco , Adulto , Inquéritos Nutricionais , Razão de Chances , Modelos Logísticos
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