Systemic Immune Inflammation Index as a Key Predictor of Dialysis in Pediatric Chronic Kidney Disease with the Use of Random Forest Classifier

Kawalec, Anna; Stojanowski, Jakub; Mazurkiewicz, Paulina; Choma, Anna; Gaik, Magdalena; Pluta, Mateusz; Szymański, Michał; Bruciak, Aleksandra; Gołębiowski, Tomasz; Musiał, Kinga

doi:10.3390/jcm12216911

Cited by 3 publications

(1 citation statement)

References 42 publications

(73 reference statements)

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“…As researchers have gradually recognized the importance of SII, an increasing number of reports have shown that SII is associated with many human health problems, such as hypertension ( 3 ), diabetes ( 4 ), and hyperlipidemia ( 5 ). The associations between SII and heart disease ( 6 ), kidney disease ( 7 ), and respiratory disease ( 8 ) have also been studied. As a relatively new marker of inflammation, much of the current research has focused on the relationship between SII and health problems, and research on the factors influencing SII is currently very limited.…”

Section: Introductionmentioning

confidence: 99%

The single and mixed impacts of cadmium, cobalt, lead, and PAHs on systemic immunity inflammation index in male and female

Nie,

Hu,

Xian

et al. 2024

Front. Public Health

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BackgroundStudies on the association between mixed exposure to common pollutants such as cadmium (Cd), cobalt (Co), lead (Pb), and polycyclic aromatic hydrocarbons (PAHs) with Systemic Immune Inflammatory Index (SII), a novel hemocyte-based inflammatory marker, have not been reported. This study explored the relationship between co-exposure to Cd, Co, Pb, PAHs, and SII.MethodsIn this study, we used data from the National Health and Nutrition Examination Survey and enrolled adults with complete information on Cd, Co, Pb, PAHs, and SII. The linear regression was used to analyze the association of single pollutants with SII. Furthermore, a Bayesian Kernel Machine Regression analysis and a generalized weighted quantile sum regression analysis were used to analyze the association between mixed exposure to Cd, Co, Pb, and six PAHs and SII. We also separated males and females and analyzed the different effects of pollutants on SII, respectively.Results5,176 participants were included in the study. After adjusting for age, gender, race, education, smoking, drinking, physical activity, and sedentary, Cd, Co, 1-OHN, 2-OHN and 2-OHF were positive with SII in the total population. Compared with the 50th percentile, the joint effect of pollutants on SII was positive. In the total population, males, and females, the top contaminant with the highest effect weights on SII were Co, Cd, and 1-OHN, respectively. The result of interaction analysis showed that the low concentrations of Cd had an elevation effect on SII in males.ConclusionThis study found a positive association of mixed exposure to Cd, Co, Pb, and six PAHs with SII, which occurred mainly in females.

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Section: Introductionmentioning

confidence: 99%

The single and mixed impacts of cadmium, cobalt, lead, and PAHs on systemic immunity inflammation index in male and female

Nie,

Hu,

Xian

et al. 2024

Front. Public Health

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Association between Systemic Immune-inflammation Index and Decreased Kidney Function in Patients with Early Chronic Kidney Disease: A Retrospective Study

Zhang,

Liu,

et al. 2024

Preprint

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The systemic immune-inflammation index (SII) is a newly developed biomarker to assess inflammation, which plays a crucial role in chronic kidney disease (CKD). The objective of the investigation was to examine the connection between SII and early CKD. Retrospective clinical data from patients admitted to the Zhejiang Provincial People’s Hospital between 1996 and 2022 were analyzed. SII was calculated as platelet count × neutrophil count/lymphocyte count and estimated glomerular filtration rate (eGFR) slope as the difference between the first and last observed eGFR divided by the year interval. The independent connection between Sll and eGFR slope was explored employing the curves of Kaplan–Meier survival, Multivariable regression analysis, and subgroup analysis. This study included 3,419 patients who were separated into four groups depending on SII quartiles, with early decreased kidney function defined as eGFR slope ≥ 1. After adjustment for covariates, the adjusted HR (95%CIs) for the second, third, fourth quartiles were 1.36(1.18,1.56), 1.28(1.11,1.47) and 1.30(1.13,1.51), respectively. Subgroup analyses showed elevated SII levels were related to early CKD in patients aged ≤ 65, male, with no history of diabetes mellitus, and with or without hypertension. Kaplan–Meier survival curves showed that with increasing SII levels, the cumulative renal survival rate (eGFR slope < 1) significantly decreased. Our findings suggest that SII may act as a valuable novel marker for anticipating prognosis in individuals with early-stage CKD.

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Association between systemic inflammatory indicators with the survival of chronic kidney disease: a prospective study based on NHANES

Chen,

Nie,

et al. 2024

Front. Immunol.

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Backgroundsystemic inflammation disorders were observed in chronic kidney disease (CKD). Whether the systemic inflammatory indicators could be optimal predictors for the survival of CKD remains less studied.MethodsIn this study, participants were selected from the datasets of the National Health and Nutrition Examination Survey (NHANES) between 1999 to 2018 years. Four systemic inflammatory indicators were evaluated by the peripheral blood tests including systemic immune-inflammation index (SII, platelet*neutrophil/lymphocyte), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR). Kaplan-Meier curves, restricted cubic spline (RCS), and Cox regression analysis were used to evaluate the association between the inflammatory index with the all-cause mortality of CKD. Receiver operating characteristic (ROC) and concordance index (C-index) were used to determine the predictive accuracy of varied systemic inflammatory indicators. Sensitive analyses were conducted to validate the robustness of the main findings.ResultsA total of 6,880 participants were included in this study. The mean age was 67.03 years old. Among the study population, the mean levels of systemic inflammatory indicators were 588.35 in SII, 2.45 in NLR, 133.85 in PLR, and 3.76 in LMR, respectively. The systemic inflammatory indicators of SII, NLR, and PLR were all significantly positively associated with the all-cause mortality of CKD patients, whereas the high value of LMR played a protectable role in CKD patients. NLR and LMR were the leading predictors in the survival of CKD patients [Hazard ratio (HR) =1.21, 95% confidence interval (CI): 1.07-1.36, p = 0.003 (3rd quartile), HR = 1.52, 95%CI: 1.35-1.72, p<0.001 (4th quartile) in NLR, and HR = 0.83, 95%CI: 0.75-0.92, p<0.001 (2nd quartile), HR = 0.73, 95%CI: 0.65-0.82, p<0.001 (3rd quartile), and = 0.74, 95%CI: 0.65-0.83, p<0.001 (4th quartile) in LMR], with a C-index of 0.612 and 0.624, respectively. The RCS curves showed non-linearity between systemic inflammatory indicators and all-cause mortality risk of the CKD population.ConclusionOur study highlights that systemic inflammatory indicators are important for predicting the survival of the U.S. population with CKD. The systemic inflammatory indicators would add additional clinical value to the health care of the CKD population.

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Systemic Immune Inflammation Index as a Key Predictor of Dialysis in Pediatric Chronic Kidney Disease with the Use of Random Forest Classifier

Cited by 3 publications

References 42 publications

The single and mixed impacts of cadmium, cobalt, lead, and PAHs on systemic immunity inflammation index in male and female

The single and mixed impacts of cadmium, cobalt, lead, and PAHs on systemic immunity inflammation index in male and female

Association between Systemic Immune-inflammation Index and Decreased Kidney Function in Patients with Early Chronic Kidney Disease: A Retrospective Study

Association between systemic inflammatory indicators with the survival of chronic kidney disease: a prospective study based on NHANES

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