Correlation study and predictive value of systemic inflammation composite index with hypertension in non-overweight or non-obese population

Li Meijie; Qiu Linjie; Ren Yan; Li Jixin; Zou Chacha; Wu Zijing; Zhang Jin

doi:10.3760/j.issn.1673-4777.2026.02.007

Abstract：Objective To explore the correlation and predictive value of the aggregate index of systemic inflammation(AISI)with hypertension in non-overweight or non-obese population.Methods A total of 8 920 non-overweight or non-obese adults who underwent health checkups at Xiyuan Hospital of China Academy of Chinese Medical Sciences from January 1,2021 to September 30,2024 were enrolled.They were divided into hypertension group and control group(non-hypertensive population)according to the presence of hypertension.Due to the skewed distribution of AISI,logarithmic transformation(Log2)was performed for subsequent analysis,and baseline characteristics were observed with hypertension status as the grouping basis.Receiver operating characteristic(ROC)curve was used to evaluate the predictive efficacy of AISI for hypertension in non-overweight or non-obese population.Results Among 8 920 non-overweight or non-obese subjects,1 289 were hypertensive patients(hypertension group)and the rest were non-hypertensive(control group).The hypertension group had significantly higher levels of age,body mass index,total cholesterol,triglycerides,low-density lipoprotein cholesterol,fasting blood glucose,serum creatinine,serum uric acid,and Log2 AISI(all P<0.05).In addition,there were statistically significant differences between the two groups in the proportions of drinking history,diabetes mellitus,kidney disease history,other cardio-cerebrovascular disease history,and family history of hypertension(all P<0.05).In the continuous variable analysis,Model 1 without covariate adjustment showed that for each 1-unit increase in Log2 AISI in non-overweight or non-obese individuals,the risk of hypertension increased by 24％.This association remained significant even after full adjustment for covariates(both P<0.001).In the categorical variable analysis,Model 1 without covariate adjustment revealed that individuals in the highest quartile of Log2 AISI had a significantly higher risk of hypertension than those in the lowest quartile,and this association persisted in the fully adjusted Model 3(both P<0.001).ROC curve analysis showed that the area under the curve of Log2 AISI for predicting the risk of hypertension in non-overweight or non-obese population was 0.615(95％confidence interval:0.599-0.629).Conclusion In the non-overweight or non-obese population,AISI is significantly non-linearly and positively correlated with the risk of hypertension and has good predictive efficacy,which can be used for the early diagnosis of hypertension in non-overweight or non-obese individuals.