Objective:To explore the association between the systemic immune-inflammation index (SII) and obesity metabolic phenotypes, as well as metabolic features in children and adolescents.Methods:A cross-sectional study was conducted using the random cluster sampling method from March 2023 to May 2024. Children and adolescents aged 9-17 years in Guangzhou were surveyed through questionnaires, physical measurements, and blood tests. According to BMI and metabolic status, participants were classified into normal-weight groups [metabolically healthy normal weight (MHNW) and metabolically unhealthy normal weight (MUNW)] and overweight/obese groups [metabolically healthy overweight/obese (MHO/O) and metabolically unhealthy overweight/obese (MUO/O)]. After natural log-transformation of SII values (lnSII), multinomial logistic regression was used to assess the association between SII and obesity metabolic phenotypes, while binary logistic regression was applied to assess the relationship between SII and metabolic phenotypes in the overweight/obese subgroup. Linear regression model and restricted cubic spline (RCS) were employed to examine the relationship between SII and metabolic features among the entire population.Results:A total of 3 749 participants were included. After adjusting for covariates, for every unit increase in lnSII, the risk of MHO/O and MUO/O increased by 93% ( OR=1.93, 95% CI: 1.56-2.40, P<0.001) and 156% ( OR=2.56, 95% CI: 2.02-3.25, P<0.001), respectively. In the overweight/obesity subgroup, for every unit increase in lnSII, the risk of MUO/O increased by 37% ( OR=1.37, 95% CI: 1.01-1.87, P=0.045). Linear regression model and RCS showed that lnSII was positively correlated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) (SBP: β=1.39, 95% CI: 0.67-2.11, P<0.001; DBP: β=1.27, 95% CI: 0.79-1.75, P<0.001). lnSII also had a non-linear relationship with triglyceride ( Pnonlinear=0.032) and high-density lipoprotein cholesterol ( Pnonlinear=0.002). Conclusion:Elevated SII levels are associated with unfavorable obesity metabolic phenotypes, higher blood pressure, and altered lipid profiles in children and adolescents. SII may be a potential driving factor for metabolic heterogeneity in children and adolescents.

Objective:To explore the association between the systemic immune-inflammation index (SII) and obesity metabolic phenotypes, as well as metabolic features in children and adolescents.Methods:A cross-sectional study was conducted using the random cluster sampling method from March 2023 to May 2024. Children and adolescents aged 9-17 years in Guangzhou were surveyed through questionnaires, physical measurements, and blood tests. According to BMI and metabolic status, participants were classified into normal-weight groups [metabolically healthy normal weight (MHNW) and metabolically unhealthy normal weight (MUNW)] and overweight/obese groups [metabolically healthy overweight/obese (MHO/O) and metabolically unhealthy overweight/obese (MUO/O)]. After natural log-transformation of SII values (lnSII), multinomial logistic regression was used to assess the association between SII and obesity metabolic phenotypes, while binary logistic regression was applied to assess the relationship between SII and metabolic phenotypes in the overweight/obese subgroup. Linear regression model and restricted cubic spline (RCS) were employed to examine the relationship between SII and metabolic features among the entire population.Results:A total of 3 749 participants were included. After adjusting for covariates, for every unit increase in lnSII, the risk of MHO/O and MUO/O increased by 93% ( OR=1.93, 95% CI: 1.56-2.40, P<0.001) and 156% ( OR=2.56, 95% CI: 2.02-3.25, P<0.001), respectively. In the overweight/obesity subgroup, for every unit increase in lnSII, the risk of MUO/O increased by 37% ( OR=1.37, 95% CI: 1.01-1.87, P=0.045). Linear regression model and RCS showed that lnSII was positively correlated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) (SBP: β=1.39, 95% CI: 0.67-2.11, P<0.001; DBP: β=1.27, 95% CI: 0.79-1.75, P<0.001). lnSII also had a non-linear relationship with triglyceride ( Pnonlinear=0.032) and high-density lipoprotein cholesterol ( Pnonlinear=0.002). Conclusion:Elevated SII levels are associated with unfavorable obesity metabolic phenotypes, higher blood pressure, and altered lipid profiles in children and adolescents. SII may be a potential driving factor for metabolic heterogeneity in children and adolescents.

Objective To explore the value of energy spectrum CT based material imaging for quantitatively and qualitatively evaluating lumbar intervertebral disc degeneration.Methods Lumbar energy spectrum CT and MRI were collected from 82 patients with back and leg pain,and 74 keV CT,water(chondroitin sulfate[CS])and CS(water)material images were obtained.Intervertebral discs Pfirrmann grading(PG)was performed based on MRI.CT values,water(CS)and CS(water)concentration of nucleus pulposus(NP)and annulus fibrosus(AF)in lumbar intervertebral disc with different PG grades were compared,and the relations with PG grades were analyzed.Visual classification of lumbar intervertebral disc was performed based on water(CS)and CS(water)falsecolor map,while PG distribution of different visual classification were compared,and the relations with PG grades were observed.Results Totally 250 lumbar intervertebral discs were enrolled,including 22 of PG Ⅰ,49 of PG Ⅱ,83 of PG Ⅲ and 96 of PG Ⅳ.CT values,water(CS)and CS(water)concentration of anterior AF,NP and posterior AF of intervertebral disc with different PG grades were significantly different(all P＜0.001),and CT values were negatively correlated with PG grades(rs=-0.504,-0.399,-0.258,all P＜0.001),while water(CS)concentration was positively correlated(rs=0.476,0.753,0.324,all P＜0.001)but CS(water)concentration was negatively correlated with PG grades(rs=-0.486,-0.760,-0.329,all P＜0.001).Significant differences of PG grades were found among different water(CS)and CS(water)falsecolor images visual classification(all P＜0.001),while water(CS)and CS(water)falsecolor images visual classification were all positively correlated with PG grades(all rs≥0.700,all P＜0.001).Conclusion Energy spectrum CT based material imaging could be used for quantitatively and qualitatively evaluating lumbar intervertebral disc degeneration.

The signs and results of 14 patients with small hepatocelular carcinoma HCC of a diameter less than 3 cm (in 10 of them the daignosis was proven by pathology after surgery) obtained by CT,angiography and CT angiography were described in this article. The value of the above imaging modalities in the detection and diagnosis of small HCC was discussed with emphasis on the significance of the sequential staining sign from interior to exterior in CT and angiography.