International journal of cardiology · 2023
Cardiometabolic index is associated with urinary albumin excretion and renal function in aged person over 60: Data from NHANES 2011-2018.
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Miao Manti, Deng Xia, Wang Zhaoxiang, Jiang Dan, Lai Shuyuan, Yu Shuping, Yan Lirong
Аннотация
PURPOSE: Cardiometabolic index (CMI) is recently considered to have certain significance in the screening of diabetes, atherosclerosis, and renal dysfunction. Therefore, this study intends to explore the relationship between CMI and the risk of albuminuria.
METHODS: This is a cross-sectional study involving 2732 elderly people (age ≥ 60). The research data are from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. Calculate CMI index: Triglyceride (TG) (mmol/L)/ High density lipid-cholesterol (HDLC) (mmol/L) × WHtR.
RESULTS: The CMI level in microalbuminuria group was significantly higher than that in normal albuminuria group (P < 0.05 or P < 0.01), whether in the general population or in diabetes and hypertensive population respectively. The proportion of abnormal microalbuminuria increased gradually with the increase of CMI tertile interval (P < 0.01). Correlation analysis showed that CMI was positively correlated with urinary albumin-creatinine ratio (UACR), blood urea nitrogen (BUN), and serum creatinine (Scr), and negatively correlated with estimated glomerular filtration rate (eGFR). With the occurrence of albuminuria as the dependent variable, weighted logistic regression analysis showed that CMI was an independent risk factor for microalbuminuria. Weighted smooth curve fitting showed that CMI index was linearly related to the risk of microalbuminuria. Subgroup analysis and interaction test showed that they participated in this positive correlation.
CONCLUSIONS: Obviously, CMI is independently associated with microalbuminuria, suggesting that CMI, a simple indicator, can be used for risk assessment of microalbuminuria, especially in diabetes patients.
METHODS: This is a cross-sectional study involving 2732 elderly people (age ≥ 60). The research data are from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. Calculate CMI index: Triglyceride (TG) (mmol/L)/ High density lipid-cholesterol (HDLC) (mmol/L) × WHtR.
RESULTS: The CMI level in microalbuminuria group was significantly higher than that in normal albuminuria group (P < 0.05 or P < 0.01), whether in the general population or in diabetes and hypertensive population respectively. The proportion of abnormal microalbuminuria increased gradually with the increase of CMI tertile interval (P < 0.01). Correlation analysis showed that CMI was positively correlated with urinary albumin-creatinine ratio (UACR), blood urea nitrogen (BUN), and serum creatinine (Scr), and negatively correlated with estimated glomerular filtration rate (eGFR). With the occurrence of albuminuria as the dependent variable, weighted logistic regression analysis showed that CMI was an independent risk factor for microalbuminuria. Weighted smooth curve fitting showed that CMI index was linearly related to the risk of microalbuminuria. Subgroup analysis and interaction test showed that they participated in this positive correlation.
CONCLUSIONS: Obviously, CMI is independently associated with microalbuminuria, suggesting that CMI, a simple indicator, can be used for risk assessment of microalbuminuria, especially in diabetes patients.