Aim:To explore the relationship between serum sodium concentration and coro-nary atherosclerosis.Methods:The study population consisted of 896 consecu-tive patients(684 males and 212 females)who underwent coronary angiographyfor suspected or known coronary atherosclerosis.Smoking and drinking wereinvestigated.The anthropometric measurements,including body mass index,systolic blood pressure and diastolic blood pressure,and the serum measurements,including sodium,potassium,chlorine,lipids,blood glucose,urea,creatinine,anduric acid for every patient were conducted.The severity of coronary atheroscle-rosis was defined by the Gensini score system.The statistical methods,includingone-way ANOVA,Kruskal-Wallis test,Spearman correlation analysis,partial cor-relation analysis,multivariate stepwise linear regression analysis,and multinomiallogistic regression analysis were employed to explore the relationship betweenserum sodium concentration and the Gensini score.Results:The analysis of theKruskal-Wallis test indicated that the distribution of the Gensini score(P=0.000)differed among the groups according to serum sodium concentration,quartilevalues of which were used as cut-off points.The Spearman correlation and partialcorrelation analysis controlling for gender,smoking status,and drinking statusindicated that the Gensini score significantly correlated with the sodium concen-tration(r=-0.241,P=0.000 for the Spearman correlation,r=-0.114,P=0.000 for thepartial correlation).The results from the multivariate stepwise linear regressionanalysis showed that the left ventricular ejection fraction(β=-0.228,P=0.000),age(β=0.137,P=0.010),glucose level(β=0.129,P=0.000),and sodium level(β=-0.106,P=0.004)were significantly and independently associated with the Gensini score.The results of the multinomial logistic regression analysis suggested that thehyponatremia was the risk factor for the higher Gensini score.Conclusion:Theserum sodium concentration was significantly and negatively associated with theGensini score;and the actual mechanism underlying the association needs furtherstudy. Aim: To explore the relationship between serum sodium concentration and coro-nary atherosclerosis. Methods: The study population consisted of 896 consecu- tive patients (684 males and 212 females) who underwent coronary angiography for suspected or known coronary atherosclerosis. Moking and drinking were investigated. The anthropometric measurements, including body mass index, systolic blood pressure and diastolic blood pressure, and the serum measurements, including sodium, potassium, chlorine, lipids, blood glucose, urea, creatinine, anduric acid for every patient were. The severity of coronary atheroscle-rosis was defined by the Gensini score system. The statistical methods, including one-way ANOVA, Kruskal-Wallis test, Spearman correlation analysis, partial cor-relation analysis, multivariate stepwise linear regression analysis, and multinomial logistic regression analysis were employed to explore the relationship betweenserum sodium concentration and the Gensini score. Results: The analysis of the Krusk al-Wallis test indicated that the distribution of the Gensini score (P = 0.000) differed among the groups according to serum sodium concentration, quartile values ​​of which were used as cut-off points. The Spearman correlation and partial correlation analysis controlling for gender, smoking status , and drinking statusindicated that the Gensini score significantly correlated with the sodium concen- tration (r = -0.241, P = 0.000 for the Spearman correlation, r = -0.114, P = 0.000 for thepartial correlation). The results from the multivariate stepwise linear regressionanalysis showed that the left ventricular ejection fraction (β = -0.228, P = 0.000), age (β = 0.137, P = 0.010), glucose level , P = 0.004) were significantly and independently associated with the Gensini score. The results of the multinomial logistic regression analysis suggested that thehyponatremia was the risk factor for the higher Gensini score. Conlusion: The serum sodium concentration was significantly and negatively associated with the Gensini score; and the actual mechanism underlying the association needs further study.