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Aim Methods Results Conclusion The relationship between inflammatory status and poor outcomes in acute coronary syndromes is a significant area of current research. This study investigates the association between in‐hospital mortality and the modified Naples prognostic score (mNPS) as well as other inflammatory biomarkers in STEMI patients.This single‐centre, cross‐sectional study included 2576 consecutive STEMI patients who underwent primary percutaneous coronary intervention between January 2022 and November 2023. Participants were randomly divided into derivation and validation cohorts in a 6:4 ratio. The following inflammatory indices were calculated: pan‐immune‐inflammation value (PIV), systemic immune‐inflammation‐index (SII), systemic inflammation‐response index (SIRI) and conventional NPS. The mNPS was derived by integrating hs‐CRP into the conventional NPS. The performance of these indices in determining in‐hospital mortality was assessed using regression, calibration, discrimination, reclassification and decision curve analyses.Inflammatory biomarkers, including PIV, SII, SIRI, NPS and mNPS, were significantly higher in patients who died during in‐hospital follow‐up compared to those discharged alive in both the derivation and validation cohorts. Multivariable logistic regression analyses were performed separately for the derivation and validation cohorts. In the derivation cohort, mNPS was associated with in‐hospital mortality (aOR = 1.490, p < .001). Similarly, in the validation cohort, mNPS was associated with in‐hospital mortality (aOR = 2.023, p < .001). mNPS demonstrated better discriminative and reclassification power than other inflammatory markers (p < .05 for all). Additionally, regression models incorporating mNPS were well‐calibrated and showed net clinical benefit in both cohorts.mNPS may be a stronger predictor of in‐hospital mortality in STEMI patients compared to the conventional scheme and other inflammatory indices. [ABSTRACT FROM AUTHOR]

In recent years, the incidence of tibial plateau fractures (TPF) has been on the rise. Deep vein thrombosis (DVT) may lead to poor prognosis in patients. The systemic immune-inflammation index(SII) are novel biomarkers of inflammation, and this study aims to verify their predictive effect and construct the nomogram model. This study used binary logistic regression analysis to predict the predictive effect of SII on the occurrence of DVT in tibial plateau fracture patients. And use R studio to construct nomogram model. The results showed that Age (1.03 [1, 1.06], p = 0.032), SII (3.57 [1.68, 7.61], p = 0.04), and NC (7.22 [3.21, 16.26], p < 0.001) were independent predictive factors for DVT. The nomogram demonstrated good predictive performance with small errors in both the training and validation groups, and most clinical patients could benefit from them. The nomogram constructed based on SII can assist clinicians in early assessment of the probability of DVT occurrence. [ABSTRACT FROM AUTHOR]

Purpose: To search the relationship between serum neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII) values with the development of retinopathy of prematurity (ROP) and the requirement for laser treatment. Methods: This retrospective cohort study was carried out with 195 preterm infants between 2012 and 2023. The NLR, PLR, LMR, and SII values were calculated on both the first day and at the end of the first month after birth. The association between development of ROP and other risk factors were analyzed using univariate analysis and multivariate logistic regression analysis. Results: Of patients, 92 infants were diagnosed with ROP. Laser treatment was administered to 36 infants. The postnatal first-day NLR and SII values were higher in infants with ROP than in infants without ROP (p < 0.001 for both). Postnatal first-month NLR, LMR, and SII values were higher in infants with ROP (p < 0.001, p = 0.007, and p < 0.001, respectively). In multivariate analyses, postnatal first-day NLR and first-month LMR values were regarded as independent risk factors for the development of ROP (OR:8.867 and 1.286, p = 0.002 and p = 0.009, respectively). In multivariate analyses performed for laser treatment requirement, postnatal first-month PLR and SII values were determined as independent risk factors (OR:0.951 and 1.011, respectively, p = 0.004 for both). Conclusions: Postnatal first-day NLR and first-month LMR values were determined as independent risk factors for the development of ROP. For the requirement of laser treatment, the postnatal first-month PLR and SII values were determined as independent risk factors. [ABSTRACT FROM AUTHOR]

Background: The neutrophil–lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) are emerging inflammatory markers related to cardiovascular outcomes. This study investigated their relationships with cardiovascular disease (CVD) and mortality among individuals with prediabetes or diabetes and assessed their predictive roles. Methods: A cohort of 6871 individuals with diabetes or prediabetes from the NHANES (2001–2018) was included. Weighted multivariate logistic regression models assessed NLR and SII associations with CVD risk, while survey-weighted Cox proportional hazards models evaluated their links to mortality. The predictive accuracy of the biomarkers for mortality was quantified by receiver-operating characteristic (ROC) curve analysis. Results: Individuals in the higher NLR and SII groups exhibited a high incidence of CVD. A total of 1146 deaths occurred throughout an average follow-up duration of 191 months, of which 382 were caused by CVD. Participants with higher NLR markedly increased the risk of all-cause (HR = 1.82) and cardiovascular mortality (HR = 2.07). A similar result was observed in the higher SII group. RCS analysis identified a linear correlation between NLR and CVD risk and mortality (p > 0.05), while SII showed a nonlinear correlation (p < 0.05). ROC results demonstrated that NLR exhibited a higher predictive ability in mortality than SII. Conclusions: Elevated levels of NLR and SII correlated with an increased risk of CVD and both all-cause and cardiovascular mortality in individuals with diabetes or prediabetes. The NLR appears to be particularly valuable for assessing risk and predicting outcomes in these patients. [ABSTRACT FROM AUTHOR]

• The death group exhibits higher APACHE II/SOFA scores and LYM/CRP/Scr levels. • The death group shows higher SII/PCT levels than the survival group. • SII/PCT positively correlate with APACHE II/SOFA scores and LYM/CRP/Scr levels. • SII/PCT are independent risk factors for poor prognosis in septic shock patients. • The SII-PCT combination helps predict the poor prognosis of septic shock patients. Septic shock is the most serious complication of sepsis, with more secure and efficient biomarkers urgently needed. Systemic immune-inflammation index (SII) and serum procalcitonin (PCT) show involvement in predicting septic shock prognosis. Herein, we explored the clinical value of the SII-PCT combination in the short-term prognosis of septic shock patients. Totally 200 septic shock patients were analyzed retrospectively and allocated into the survival and death groups upon 28-day in-hospital outcomes. Correlations of SII, PCT, acute physiology and chronic health evaluation II (APACHE II)/sepsis-related organ failure assessment (SOFA) scores, C-reactive protein (CRP), and serum creatinine (Scr) were analyzed using Spearman. The influencing factors of SII and serum PCT for short-term poor prognosis were analyzed using logistic multivariate regression model. The auxiliary predictive value of SII, PCT, and their combination for short-term adverse septic shock prognosis was evaluated by the receiver operating characteristic curve. Differences in the area under the curve (AUC) were compared using MedCalc. The death group had higher APACHE II/SOFA scores, LYM, CRP, Scr, SII, and PCT levels than the survival group. SII and PCT were positively correlated with APACHE II and SOFA scores, LYM, CRP, and Scr, and were independent risk factors influencing the adverse septic shock prognosis. The AUC of the SII-PCT combination in predicting short-term adverse septic shock prognosis was 0.893 (0.841-0.932), with 76.12% sensitivity and 87.97% specificity, with the combination showing a higher AUC than SII/PCT alone. The SII-PCT combination helps predict the adverse prognosis of septic shock patients. [ABSTRACT FROM AUTHOR]

Immune-inflammatory mediators influence numerous immune and inflammatory pathways, elevating the likelihood of depression. The systemic immune-inflammation index (SII) emerges as an innovative prognostic indicator, integrating various peripheral blood immune cell subpopulations, specifically neutrophils, platelets, and lymphocytes. This exploratory study aims to examine the correlation between SII and depression. Data from the 2005–2020 National Health and Nutrition Examination Survey (NHANES) were utilized. Depression was diagnosed with a Patient Health Questionnaire score of 10 or higher. The relationship between log2-SII and depression incidence was analyzed using a restricted cubic spline (RCS). Logistic regression was employed to calculate the odds ratio of depression concerning log2-SII. In cases of non-linearity, piecewise linear models with change points were applied to assess the associations in both the overall population and specific subgroups. Additionally, subgroup analyses were conducted to determine the applicability of the findings to particular populations. A total of 42,133 participants were included in the study, comprising 49.32 % men and 50.68 % women, with an average age of 47.02 ± 17.45 years. RCS analysis demonstrated a J-shaped non-linear relationship between log2-SII and depression incidence. When log2-SII was ≥8.50, SII showed a positive association with depression incidence, even after adjusting for covariates. Additionally, each unit increase in log2-SII corresponded to an 18 % rise in depression incidence (OR = 1.18, 95 % CI: 1.10–1.27). Subgroup analysis further revealed that the association between SII and depression incidence varied across different populations. Due to the cross-sectional nature of NHANES, causality or long-term implications cannot be inferred. Further research is needed to ascertain if a longitudinal relationship exists between SII and depression. Our findings suggest a significant and complex non-linear association between SII and depression. However, further basic and prospective studies are necessary to explore SII's impact on depression and clarify its underlying mechanisms. Additionally, these studies will provide a foundation for personalized interventions targeting the immune-inflammatory processes in patients with depression and elevated SII. • Systemic immune-inflammation index was associated with depression in a complicated non-linear manner. • High systemic immune-inflammation index was associated with high depression incidence. • Immune-inflammatory mediators may increase the risk of depression. [ABSTRACT FROM AUTHOR]

Our aim was to explore the potential relationship between SII and obesity, as well as abdominal obesity. We utilized a weighted multivariable logistic regression model to investigate the relationship between SII and obesity, as well as abdominal obesity. Generalized additive models were employed to test for non-linear associations. Subsequently, we constructed a two-piecewise linear regression model and conducted a recursive algorithm to calculate inflection points. Additionally, subgroup analyses and interaction tests were performed. A total of 7,880 U.S. adult participants from NHANES 2011-2018 were recruited for this study. In the regression model adjusted for all confounding variables, the odds ratios (95% confidence intervals) for the association between SII/100 and obesity, as well as abdominal obesity, were 1.03 (1.01, 1.06) and 1.04 (1.01, 1.08) respectively. There was a non-linear and reverse U-shaped association between SII/100 and obesity, as well as abdominal obesity, with inflection points at 7.32 and 9.98 respectively. Significant positive correlations were observed before the inflection points, while significant negative correlations were found after the inflection points. There was a statistically significant interaction in the analysis of age, hypertension, and diabetes. Moreover, a notable interaction is observed between SII/100 and abdominal obesity within non-Hispanic Asian populations. In adults from the United States, there is a positive correlation between SII and the high risk of obesity, as well as abdominal obesity. Further large-scale prospective studies are needed to analyze the role of SII in obesity and abdominal obesity. • SII was positively associated with an increased likelihood of obesity in U.S. adults. • SII was positively associated with an increased likelihood of abdominal obesity in U.S. adults. • SII was nonlinearly associated with the risk of developing obesity, with a turning point of 7.32. • SII was nonlinearly associated with the risk of developing abdominal obesity with a turning point of 9.98. • The positive association between SII and abdominal obesity was more pronounced in Asian populations. [ABSTRACT FROM AUTHOR]

Background: Depression and tooth loss are associated with the occurrence of systemic disease or the progression of multi-factorial disease, and both are considered important public health issues by World Health Organization (WHO). Previous research just suggested that tooth loss can generate psychological stress, low self-esteem, anxiety and other emotional disturbances. However, the precise correlation and underlying mechanisms between depression and tooth loss remains poorly understood. ​Consequently, we aim to explore the association between depression and tooth loss through a cross-sectional study, as well as investigate potential pathways of influence. Methods: We analyzed data from the National Health and Nutrition Examination Survey (NHANES). Logistic regression models were employed to examine the relationship between depression and tooth loss, as well as the associations among healthy lifestyle, systemic immune-inflammation index (SII), depression and tooth loss. Through the mediating effect analysis by bootstrapping analysis, we evaluated the mediating effects of healthy lifestyle and SII between depression and tooth loss. Results: Depressed patients were more likely to be toothless, and at the same time showed a tendency to have more missing teeth, with odds ratio (OR) = 1.305 (1.098, 1.551), p = 0.003 for 1–7 missing teeth, OR = 1.557 (1.166, 2.079), p = 0.003 for 8–14 missing teeth, and OR = 1.960 (1.476, 2.603), p<0.001 for 15–28 missing teeth. Lower healthy lifestyle scores and higher SII were both associated with more tooth loss. Healthy lifestyle and SII played a partial mediating role in this relationship, with a mediating effect ratio of 41.691% and 3.289%, respectively. Conclusions: ​Depression was positively associated with more severe tooth loss, which was partly mediated by lifestyle and SII. Therefore, attention should also be paid to the effects of depression as a mental disorder on physical health, such as depression and tooth loss. Adopting a healthier lifestyle and controlling systemic inflammation may be potential ways to reduce the impact of depression and tooth loss. [ABSTRACT FROM AUTHOR]

Background: Endoscopic submucosal dissection (ESD) is a widely utilized treatment for early esophageal cancer. However, the rising incidence of postoperative esophageal stricture poses a significant challenge, adversely affecting patients' quality of life and treatment outcomes. Developing precise predictive models is urgently required to enhance treatment outcomes. Materials and Methods: This study retrospectively analyzed clinical data from 124 patients with early esophageal cancer who underwent ESD at Ningbo Medical Center Lihuili Hospital. Patients were followed up to assess esophageal stricture incidence. Binary logistic regression analysis was used to identify factors associated with post‐ESD esophageal stricture. A novel nomogram prediction model based on Systemic Immune‐inflammation Index (SII) was constructed and evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results: ROC curve analysis showed that the optimal value of SII for predicting esophageal stricture was 312.67. Both univariate and multivariate analyses identified lesion infiltration depth (< M2 vs. ≥ M2, p = 0.002), lesion longitudinal length (< 4 cm vs. ≥ 4 cm, p = 0.008), circumferential resection range (< 0.5, 0.5–0.75, ≥ 0.75, p = 0.014), and SII (< 312.67 vs. ≥ 312.67, p = 0.040) as independent risk factors for post‐ESD esophageal stricture. A novel nomogram prediction model incorporating these four risk factors was developed. Validation using ROC curve analysis demonstrated satisfactory model performance, while calibration curves indicated good agreement between model‐predicted risk and observed outcomes. Conclusion: We successfully constructed a novel nomogram prediction model based on SII, which can accurately and intuitively predict the occurrence of esophageal stricture after ESD, providing guidance for clinicians and improving treatment outcomes. [ABSTRACT FROM AUTHOR]

The systemic immune-inflammatory index (SII) has been identified as an independent prognostic factor for multiple diseases. However, the impact of SII on outcome of acute-on-chronic liver failure (ACLF) is scant. A retrospective study enrolled patients with ACLF treated with artificial liver support system. Restricted cubic spline (RCS) (knots at the 10th, 50th, and 90th percentiles) and Cox proportional hazards models were applied to investigate the relationship between SII and 90-day transplant-free survival and overall survival in patients with ACLF. A total of 258 patients with ACLF were included. The 90-day transplant-free survival rate and overall survival rate were 58.5% and 66.3%. The SII was 465.5 (277.3–804.4). Adjusted RCS models showed linear exposure–response relationship between SII and 90-day transplant-free survival (P for overall < 0.001, P for nonlinear = 0.154) and 90-day overall survival (P for overall < 0.001, P for nonlinear = 0.103), and adjusted Cox models confirmed the positive relationship. Compared with patients with SII < 480, patients with ≥ 480 had more serious condition, lower 90-day transplant-free survival rate (46.8% vs. 69.7%, adjusted HR (95% CI) for transplant or death: 2.13 (1.40–3.23), P < 0.001), and lower 90-day overall survival rate (56.3% vs. 75.8%; adjusted HR (95% CI) for death: 2.26 (1.42–3.61), P = 0.001). Stratified Cox models suggested no potential modifiers in the relationship between SII and 90-day transplant-free survival. Our findings suggested SII was positively associated with poor short-term prognosis of ACLF. [ABSTRACT FROM AUTHOR]

Background: The systemic immune-inflammation index (SII) is a novel inflammatory marker used to assess the immune-inflammatory status of the human body. The systemic immune inflammation has an interplay and mutual relationship with neurological disorders. Serum neurofilament light chain (sNfL) is widely regarded as a potential biomarker for various neurological diseases. The study aimed to examine the association between SII and sNfL. Methods: This cross-sectional investigation was conducted in a population with complete data on SII and sNfL from the 2013-2014 National Health and Nutrition Examination Survey (NHANES). The SII was calculated by dividing the product of platelet count and neutrophil count by the lymphocyte count. Multivariate linear regression models and smooth curves were used to explore the linear connection between SII and sNfL. Sensitivity analyses, interaction tests, and diabetes subgroup smoothing curve fitting were also performed. Results: A total of 2,025 participants were included in our present research. SII showed a significant positive association with the natural logarithm-transformed sNfL (ln-sNfL) in crude model [0.17 (0.07, 0.28)], partially adjusted model [0.13 (0.03, 0.22)], and fully adjusted model [0.12 (0.02, 0.22)]. In all participants, the positive association between SII and ln-sNfL served as a linear relationship, as indicated by a smooth curve. Interaction tests showed that age, gender, BMI, hypertension, and diabetes did not have a significant impact on this positive association (p for interaction >0.05). The subgroup analysis of diabetes was conducted using smooth curve fitting. It was found that compared to the group without diabetes and the group in a pre-diabetic state, the effect was more pronounced in the group with diabetes. Conclusion: Our findings suggest that there is a positive association between SII and sNfL. Furthermore, in comparison to individuals without diabetes and those in a pre-diabetic state, the positive association between SII and sNfL was more pronounced in individuals with diabetes. Further large-scale prospective studies are needed to confirm the association between SII and sNfL. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the systemic immune-inflammation (SII) index in patients with rheumatoid arthritis (RA) stratified by systemic inflammatory status. Methods: Seropositive patients with RA (n=58) were divided into two groups based on serum hs-C-reactive protein (hs-CRP) levels: RA patients with hs-CRP levels of at or 3 mg/L or above (high systemic inflammatory status; n=38) and RA patients with hs-CRP levels of less than 3 mg/L (low systemic inflammatory status; n=20). The control group comprised 31 healthy individuals. Blood samples were tested for the next parameters: leukocytes, neutrophilic granulocytes, lymphocytes, thrombocytes [platelet (PLT)], high-sensitivity hs-CRP, sed rate [erythrocyte sedimentation rate (ESR)], neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR). The SII index was derived as Neu x PLT/Lym. Results: In patients with RA, the SII index was elevated compared with that of healthy individuals and positively correlated with hs-CRP, erythrocyte sedimentation rate, NLR, MLR, PLR, tender joint count, and swollen-to-tender joint count ratio. Patients with RA who had hs-CRP levels of 3 mg/L above exhibited a statistically significant increase in the SII compared with those with hs-CRP levels below 3 mg/L. Additionally, within the cohort of RA patients with hs-CRP levels at or above 3 mg/L, a positive correlation was found between the SII index and both NLR and PLR. The SII index was positively correlated with NLR, MLR, and PLR in RA patients with hs-CRP levels below 3 mg/L. The cut-off point of the SII index for distinguishing between RA cases with hs-CRP levels 3 mg/L and those with hs-CRP levels 3 mg/L or higher was ≥323.4, with a sensitivity of 77.6% and a specificity of 54.8%. Conclusions: The serum SII index can be a potentially useful marker for evaluating the inflammatory process and clinical progression of RA. [ABSTRACT FROM AUTHOR]

Problem: Cesarean scar pregnancy (CSP) is characterized by a gestational sac fully or partially implanted in the scar from a previous cesarean section. Systemic immune‐inflammation indices (SIIs) have recently been discussed as additional diagnostic markers in placenta accreta and preeclampsia. CSP shares a similar pathogenesis with these diseases, suggesting that assessing the SIIs and neutrophil‐to‐lymphocyte ratio (NLR) could enhance additional predictability in diagnosing CSP. Method of Study: In this study, we analyzed the complete blood counts between 264 women who were confirmed with CSP by ultrasound and 295 women who underwent elective termination. Results: The mean counts of total white cells and neutrophils were significantly higher, whereas the counts of monocytes, lymphocytes, and platelets were significantly lower in the CSP group compared to the control group (p < 0.001). Additionally, the SII, systemic inflammation response index (SIRI), or NLR was significantly higher in the CSP group compared to the control group (p < 0.0001). Given the limited effect of SII and SIRI on the increased risk of developing CSP, the optimal cut‐off value for NLR in predicting CSP was 2.87 (area under the curve [AUC] 0.656, 68% sensitivity). The optimal cut‐off value for NLR in predicting type 2 CSP was 2.91 (AUC 0.690, 71% sensitivity). Conclusions: Although ultrasound or magnetic resonance imaging images are a gold standard for visualizing the gestational sac's location in the diagnosis of CSP, assessing peripheral blood tests is cost‐effective, and NLR may provide additional diagnosis value for CSP. [ABSTRACT FROM AUTHOR]

Objective: There is increasing evidence for the effect of inflammation on the etiology of febrile seizure (FS) patients. We aimed to investigate the role of easily accessible inflammatory markers such as the neutrophil–lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil–lymphocyte–platelet ratio (NLPR), and pan-immune-inflammation value (PIV) in febrile seizure. Methods: A total of 300 children, including 100 with febrile convulsions (FS), 100 febrile controls (FCs), and 100 healthy controls (HCs), were included in this retrospective study. The FS group was compared with the FC and HC groups in terms of these inflammatory indexes. Results: Between the FS group and the FC group, the neutrophil count was significantly higher in the FS group (p = 0.001) and the lymphocyte count was significantly lower (p < 0.001). The NLR (p < 0.001), SII (p < 0.001), SIRI (p < 0.001), NLPR (p < 0.001), and PIV (p < 0.001) were significantly higher in the FS group than in both the FC and healthy control groups. The optimal cut-off values for predicting FS in febrile conditions were 3.59> for NLR, >870.47 for SII, >1.96 for SIRI, 0.96> for NLPR, and >532.75 for PIV. Conclusions: The inflammatory indices are inexpensive, easily accessible hematological markers that can contribute to the diagnosis of FS. [ABSTRACT FROM AUTHOR]

Hypertension (HT) is a common chronic disease that often causes target-organ damage and severe complications, contributing to cardiovascular morbidity and mortality worldwide. Accumulating evidence suggests that inflammation plays a prominent role in the initiation and progression of HT. Multiple inflammatory biomarkers have been proposed to predict HT. Several new hematological parameters can reflect the inflammatory response and platelet activation. The major advantage of hematological parameters over conventional inflammatory markers is that they are relatively inexpensive and easily obtained from routine blood tests. Numerous studies have investigated several hematological parameters for their utility as predictive biomarkers for the diagnosis and prognosis of HT. Among them, the neutrophil to lymphocyte ratio (NLR), monocyte to high density lipoprotein cholesterol ratio (MHR), red cell distribution width (RDW), platelet to lymphocyte ratio (PLR), mean platelet volume (MPV), platelet distribution width (PDW), and systemic immune-inflammation index (SII) have recently received attention. We searched PubMed and Embase databases (up to September 18, 2022) to assess the relationships between hematological parameters and HT. This review discusses the diagnostic and prognostic value of these hematological parameters in HT, providing an important basis for early screening, risk stratification, and optimal management of hypertensive patients. [ABSTRACT FROM AUTHOR]

Purpose: Gestational diabetes mellitus (GDM) is a prevalent complication during pregnancy. This study aimed to explore the associations between inflammatory indices during pregnancy and the development of GDM. Methods: Data from the Fujian Birth Cohort Study between March 2019 and December 2022 were used. Participants who delivered a live-born singleton were included and categorized into GDM and non-GDM groups. Two inflammatory indices, the systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI), were calculated for each trimester of pregnancy via hematological parameters from complete blood count tests. The distributions of inflammatory indicators across trimesters were compared between the GDM and non-GDM groups. Additionally, multivariable logistic regression models were employed to investigate the associations between inflammatory indices and the incidence of GDM. Results: A total of 17297 participants were included, 21.2% of whom were diagnosed with GDM. In the first trimester, the median SIIs for the GDM and non-GDM groups were 817.7× 109/L and 756.9× 109/L, respectively, whereas the median SIRIs were 1.6× 109/L and 1.5× 109/L, respectively. In both groups, the SII increased to its peak in the second trimester before declining, whereas the SIRI progressively increased throughout pregnancy. The SII and SIRI were greater in the GDM group than in the non-GDM group during the first two trimesters but lower in the third trimester. Nonlinear positive associations between first-trimester SII and SIRI levels and GDM were observed, with extreme quartile odds ratios of 1.32 (95% CI: 1.19, 1.48) and 1.39 (95% CI: 1.24, 1.55), respectively. Conclusion: The SII and SIRI increased and reached their peak values in the second and third trimesters of pregnancy, respectively. Elevated levels of the SII and SIRI in early pregnancy were linked to an increased risk of GDM, suggesting their potential utility as screening tools for GDM. [ABSTRACT FROM AUTHOR]

Background: The efficiency of systemic immune-inflammation index (SII) in predicting prognosis of osteosarcoma (OSA) patients has been extensively analyzed, but no consistent findings are obtained. Therefore, this meta-analysis focused on identifying the precise prognostic value of SII for OSA. Methods: We comprehensively searched electronic databases of PubMed, Embase, Web of Science, Cochrane Library, and China National Knowledge Infrastructure (CNKI) from inception to 24 February, 2024. Meanwhile, the efficiency of SII in predicting prognosis of OSA was evaluated by calculating pooled hazard ratios (HRs) as well as 95% confidence intervals (CIs). Additionally, the correlation of SII with the OSA clinicopathological characteristics was analyzed based on pooled odds ratios (ORs) and 95%CIs. Results: Six studies with 1015 cases were enrolled into this work. According to the combined data, the higher SII was markedly related to poor overall survival (OS) (HR=2.01, 95%CI=1.30-3.09, p=0.002) and Enneking stage III (OR=2.21, 95% CI=1.11-4.39, p=0.024) of patients with OSA. Nonetheless, SII was not significantly related to gender, age, pathological fracture, tumor size, tumor location, tumor differentiation, and metastasis in patients with OSA. Conclusions: In summary, the higher SII is markedly related to poor OS and advanced Enneking stage in OSA patients. [ABSTRACT FROM AUTHOR]

Objective: Maintenance hemodialysis (MHD) patients suffer from enormous physical, mental stress and poor quality of life, so an increasing number of patients are in a long-term state of depression. A prominent feature of MHD patients is chronic persistent inflammation, which is also an important mechanism for the onset of depression. Therefore, finding economically convenient inflammatory markers to predict and diagnose the onset of depression in MHD patients is of great value. As a novel inflammatory marker, systemic immune inflammation index (SII) can more comprehensively reflect the inflammation and immunity level of patients. This study aims to explore the relationship between SII and depressive symptoms in MHD patients. Methods: A cross-sectional studywas conducted on 206MHD patients fromthree dialysis centers. Based on the Hospital Anxiety and Depression Scale (HADS) scores, patients were divided into non-depression and depression groups. Inter group comparison and multivariate logistic regression analysis were performed to determinewhether SII is an independent risk factor for depression inMHD patients. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of SII on depression symptoms in MHD patients. Results: According to the HADS scale score, 38.83% of the included patients were in a state of depression. After adjusting for all confounding factors, MHD patients with SII>963.93 had a 4.709 times higher risk of depression than those with SII = 478.32 (OR=4.709, 95% CI 1.821-12.178, P<0.01). ROC analysis showed that SII>685.11 was the best cutoff value for MHD depression patients, and the area under the curve (AUC) was 0.681. Conclusions: High SII is an independent risk factor for depressed MHD patients and an ideal inflammatory marker for predicting and identifying depression in MHD patients as assessed by the HADS scale. [ABSTRACT FROM AUTHOR]

Neonatal respiratory distress syndrome (NRDS) is one of the leading causes of neonatal mortality in low-income countries. It is caused by a lack of surface-active substances in the lungs, and the maternal inflammatory response plays an important role in the formation of surface-active substances in the fetal lungs. We aimed to investigate the correlation between maternal prenatal systemic inflammatory indices and respiratory distress syndrome in preterm neonates. This is a retrospective case–control study that collected data from all patients who delivered between 28 and 36 weeks of gestation at Longhua District People's Hospital in Shenzhen City and whose infants were admitted to the neonatal unit, newborns with respiratory distress syndrome were in the experimental group (NRDS group), and newborns without NRDS were in the control group (non-NRDS group). To minimize the effect of confounders on the results, propensity score matching was performed on baseline characteristics. Totally, 524 patients were included (93 in the NRDS group and 431 in the non-NRDS group), and 71 matched pairs (142 patients). The neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI) and neutrophil lymphocyte to platelet ratio (NLPR) were higher in the NRDS group than in the non-NRDS group (p < 0.05). The ROC curves of NLR, dNLR, SII, SIRI, AISI and NLPR for the diagnosis of NRDS were plotted, and it was found that the combined diagnostic efficacy of these six systemic inflammatory markers was better (AUC: 0.643, P = 0.003). Patients were divided into two groups based on the cut-off values determined from the ROC curves, and analysis using binary regression models revealed that SII ≥ 1199.94 (OR, 2.554; 95% CI 1.245–5.239, P = 0.011) and NLPR ≥ 0.0239 (OR, 2.175; 95% CI 1.061–4.459, P = 0.034) were independent risk factors predicting NRDS. Maternal prenatal SII ≥ 1199.94 and NLPR ≥ 0.0239 are independent risk factors for NRDS, and clinicians may be used to prevent neonatal respiratory distress in advance to reduce the incidence of NRDS. [ABSTRACT FROM AUTHOR]

Introduction: The systemic immune-inflammation index (SII), based on peripheral lymphocyte, neutrophil, and platelet counts, has recently been investigated as a prognostic marker in several tumors. However, the SII has rarely been reported in skin cancers. In this study, we aimed to assess the association between SII values and the risk of occurrence of skin cancers. Material and methods: This cross-sectional study was based on National Health and Nutrition Examination Survey data from 2010 to 2018 and involved 32,012 participants. The SII was calculated as the platelet count × neutrophil count/lymphocyte count. A weighted multivariate logistic analysis was conducted to examine the relationship between SII values and the occurrence of skin cancers. In addition, a subgroup analysis and a sensitivity analysis were conducted to identify underlying moderators and the stability of the relationship, respectively. Results: Compared with participants in the lowest quartile of SII values, the odds ratios for non-melanoma skin cancer were 1.650 (95% CI: 1.158-2.352) for participants in the quartile with the highest SII values after multivariate adjustments. In subgroup analyses, we found significant interactions between log-transformed SII values and age (p < 0.001 for interaction), race (p < 0.001 for interaction), education level (p < 0.001 for interaction), marital status (p < 0.001 for interaction), and annual household incomes (p < 0.001 for interaction) in the association with non-melanoma skin cancer. Conclusions: Our findings suggest a positive association between high SII values and skin cancers in the U.S. population. Age, levels of education, marital status, and annual household incomes affect the positive association between high SII values and non-melanoma skin cancers. [ABSTRACT FROM AUTHOR]

Psoriasis is an immune-mediated disorder which primarily affects skin and has systemic inflammatory involvement. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte-to-lymphocyte ratio (MLR) are novel complete blood count (CBC)-derived markers which can reflect systemic inflammation. This study aimed to systematically investigate the associations of NLR, PLR, SII, and MLR with psoriasis. This study was performed in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement. A comprehensive search of Pubmed, Embase, Scopus, and Google Scholar was conducted for relevant studies. Observational studies evaluating the correlations of NLR, PLR, SII, or MLR with psoriasis were included. The primary outcomes were the associations of these inflammatory markers with the presence and severity of psoriasis. The random-effect model was applied for meta-analysis. 36 studies comprising 4794 psoriasis patients and 55,121 individuals in total were included in the meta-analysis. All inflammatory markers were significantly increased in psoriasis groups compared to healthy controls (NLR: MD = 0.59, 95% CI: 0.47–0.7; PLR: MD = 15.53, 95% CI: 8.48–22.58; SII: MD = 111.58, 95% CI: 61.49-161.68; MLR: MD = 0.034, 95% CI: 0.021–0.048; all p < 0.001). Between-group mean differences in NLR and PLR were positively correlated with the mean scores of Psoriasis Area Severity Index (NLR: p = 0.041; PLR: p = 0.021). NLR, PLR, SII, and MLR are associated with the presence of psoriasis. NLR and PLR serve as significant indicators of psoriasis severity. These novel CBC-derived markers constitute potential targets in the screening and monitoring of psoriasis. [ABSTRACT FROM AUTHOR]

Introduction: The 2018 Tokyo Guidelines are insufficient for preoperative prediction of severe acute cholecystitis (AC) preoperatively. The Parkland Grading Scale (PGS) aids in intraoperative assessment but lacks preoperative utility. Biomarkers like C-reactive protein/ albumin ratio (CAR) and systemic immune-inflammation index (SII) were explored for preoperative prediction of severe AC. The present study aimed to investigate the efficacy of biomarkers against severe AC. Methods: A retrospective analysis at the University of Health Sciences Turkey, Fatih Sultan Mehmet Training and Research Hospital covered patients undergoing early laparoscopic cholecystectomy for AC from January 2014 and January 2023. AC was defined according to the 2018 Tokyo Guidelines criteria. Patients were categorized into two groups based on the PGS for intraoperative findings: Group 1 (grades 1-3) for mild AC and group 2 (grades 4-5) for severe AC. Clinical parameters, intraoperative findings, postoperative outcomes, and biomarkers, including CAR and SII, were analyzed. Results: Of 141 patients, 93 were included in group 1 and 48 in group 2. Group 2 exhibited longer operation times, higher rates of conversion to open cholecystectomy, and complications, and prolonged hospital stays. Clinical parameters such as age, sex, symptom duration, and ASA score were varied between the groups. Biomarkers including C-reactive protein and white blood cell count differed significantly between the groups, with CAR and SII identified as predictive factors for severe AC. The cut-off points were 1.86 for CAR and 1327.69 for SII. Conclusion: Preoperative biomarkers, particularly CAR and SII, can effectively predict severe AC. Levels exceeding 1.86 for CAR and 1327.69 for SII indicate increased conversion to open cholecystectomy and postoperative complication risk. [ABSTRACT FROM AUTHOR]

Our study focuses on the relationship between inflammatory biomarkers and hypertension among sedentary adults in the United States, using data from the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2018. We categorized 24,614 participants into two groups based on their daily sedentary time: 9607 individuals in the sedentary group (≥7 h) and 15,007 in the non‐sedentary group (<7 h). We found that the sedentary group had a significantly higher prevalence of hypertension than the non‐sedentary group. Using weighted multiple logistic regression and smoothing curves, we assessed the correlation between inflammatory biomarkers and hypertension among the sedentary adults. The odds ratios for hypertension were 1.92 for the monocyte to high‐density lipoprotein ratio (MHR), 1.15 for the systemic inflammation response index (SIRI), and 1.19 for the natural logarithm of the systemic immune‐inflammation index (lnSII), all showing nonlinear associations. Furthermore, a significant positive correlation was found between sedentary time and inflammatory biomarkers (MHR, SIRI, and lnSII). Our findings suggest that prolonged sedentary behavior in the US significantly increases hypertension risk, likely due to marked increases in inflammation markers. [ABSTRACT FROM AUTHOR]

Objective: This study aims to investigate the correlation between changes in bone mineral density (BMD) in postmenopausal women and circulating inflammatory markers. Methods: This retrospective study focused on postmenopausal women admitted to the orthopedic department of Suzhou Benq Medical Center from June 2022 to December 2023, following predetermined inclusion and exclusion criteria. We retrospectively collected data on initial blood routine test results and bone density measurements for all study subjects upon admission, including parameters such as white blood cell count (WBC), C‐reactive protein, interleukin‐6 (IL‐6), and procalcitonin (PCT). Additionally, the systemic immune‐inflammation index (SII) was calculated using neutrophil count, lymphocyte count, and platelet count. Statistical analyses using SPSS and GraphPad software were performed to assess the correlation between bone density and inflammatory markers. Results: Patients were classified into three groups based on BMD results, including 60 individuals in the osteoporosis (OP) group, 127 individuals in the osteopenia group, and 37 individuals in the Normal group, respectively. Principal component analysis analysis suggested that WBC, SII, and postmenopausal OP (PMOP) held significant feature values. Correlation analysis indicated a correlation between WBC (p = 0.021), IL‐6 (p = 0.044), SII (p = 0.034), and PMOP. One‐way ANOVA analysis revealed significant differences in IL‐6 (p = 0.0179), SII (p = 0.0210), and PCT (p = 0.0200) among the three groups. Finally, ROC curve analysis demonstrated that SII (area under the curve = 0.716) has predictive value for PMOP. Conclusion: This study identified a certain predictive value for PMOP through the assessment of inflammatory markers in peripheral blood using routine blood tests. [ABSTRACT FROM AUTHOR]

Background: Erectile dysfunction (ED) is associated with inflammation. The systematic immune‐inflammation index (SII), as a new inflammation marker, was applied to predict the risk of diseases. However, no research explores the relationship between SII and ED. Hence, the purpose of this study was to investigate the association between SII and ED. Methods: Related data were obtained from the National Health and Nutrition Examination Survey (NHANES) 2001−2004. Based on self‐report, all participants were classified into ED and non‐ED group. Weighted multivariate regression analysis the relationship between categorical SII and ED in unadjusted and adjusted models. Restricted cubic spline (RCS) was used to examine the association of continuous SII and ED risk. Furthermore, the association between categorical SII and the risk of ED was evaluated among subgroups of age, body mass index, hypertension, diabetes and cardiovascular disease. Finally, weighted multivariate regression analysis and RCS were performed to assessed the connection between SII and the risk of severe ED. Results: Initially, data on 21,161 participants were obtained. After implementing the inclusion and exclusion criteria, 3436 participants were included in analyses. Weighted multivariate regression analysis demonstrated that Q4 group SII was associated with an increased risk of ED (OR = 1.03, 95% confidence intervals: 1.00−1.05, p =.03). RCS showed SII was nonlinearly associated with the risk of ED, and the inflection point of SII was at 485.530. In addition, subgroup analyses demonstrated that participants in the SII > 485.530 group had a higher ED risk than SII ≤ 485.530 group among subgroups of age ≥50, hypertension, and non‐diabetes. Weighted multivariate regression analysis and RCS found no relationship of SII and the risk of severe ED. Conclusion: In US adults, SII > 485.530 was correlated with an increased risk of ED. While, no significant association between SII and severe ED risk. Additional studies are required to support our results. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to explore the association of inflammatory markers such as the Systemic Immune-Inflammatory Index (SII) and LANR with the comorbidity of Chronic Obstructive Pulmonary Disease (COPD) and lung cancer. Patients and Methods: A cross-sectional analysis was conducted on the clinical data of 309 patients with COPD only and 193 patients with COPD and lung cancer who attended the First Affiliated Hospital of Anhui Medical University. Additionally, we examined autonomous risk factors that contribute to the simultaneous development of COPD and lung cancer through univariate and multivariate logistic regression analyses. This analysis resulted in the development of a nomogram model for visual representation. The effectiveness of the model was assessed using a receiver operating characteristic (ROC) curve, calibration curve, and clinical decision analysis (DCA) curve, with internal validation conducted via repeated sampling methods. Results: Multivariate analysis of clinical characteristics and inflammatory markers showed that smoking history of > 60 pack-years, hemoptysis, emphysema, WBC count > 5.53 (× 10^9/L), SII > 629.285, and LANR < 11.39 were significantly associated with the comorbidity of COPD and lung cancer. These factors were subsequently integrated into the nomogram model. The AUC of the model stood at 0.849 (95% CI: 0.815– 0.882), demonstrating a notable improvement over the COPD-LUCSS scoring system (AUC: 0.716, 95% CI: 0.671– 0.761). The DCA curve indicated a notable clinical advantage provided by the model. Additionally, patients with stage IV tumors exhibited elevated SII levels and reduced LANR levels compared to earlier stages, indicating potential prognostic significance for both markers. Conclusion: Increased levels of the inflammatory markers SII and LANR are associated with the risk of comorbidity of COPD and lung cancer. [ABSTRACT FROM AUTHOR]

Background: We conducted a post-hoc analysis of the RICAMIS trial to investigate the effect of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) on the efficacy of remote ischemic conditioning treatment. Methods: In this post-hoc analysis, NLR, PLR, and SII were measured before randomization. Patients were divided into two groups based on their cut-off values: high vs low NLR, high vs low PLR, and high vs low SII groups. Each group was further subdivided into RIC and control groups. The primary endpoint was a poor outcome (mRS 2– 6 at 90 days). Differences in the primary endpoint between the RIC and control subgroups were compared, and the interactions of treatment assignment with NLR, PLR, and SII were evaluated. Results: A total of 1679 patients were included in the final analysis. Compared with the control group, RIC significantly improved functional outcomes regardless of the inflammation status. The improved probability of poor outcome in the RIC vs control group was numerically greater in the high vs low inflammation group (NLR, 7.8% vs 5.1%; PLR, 7% vs 6.5%; SII, 9% vs 5.3%). However, we did not find an interaction effect of an intervention (RIC or control) with different NLR, PLR, or SII on clinical outcomes (P > 0.05). In addition, the NLR and SII were independently associated with functional outcomes in all patients, regardless of whether they received RIC. Conclusion: Inflammation may not affect the efficacy of RIC in patients with acute moderate ischemic stroke, although a lower probability of poor outcome at 90 days was identified in patients with a high vs low inflammatory status. [ABSTRACT FROM AUTHOR]

Objective: Predictive value of systemic immune-inflammation index (SII) has been shown in clinical outcomes and complexity of coronary artery disease, acute coronary syndrome, and heart failure. We sight to evaluate value of SII in patients with lower extremity arterial disease (LEAD). Methods: A total of 271 patients diagnosed with LEAD were included to our study. Blood samples of the patients were collected and analyzed for biochemical variables and complete blood count parameters. SII value of each patient was calculated. The complexity of atherosclerotic disease was classified according to Trans-Atlantic Inter-Society Consensus (TASC II) classification. Results: Patients with TASC C-D were older than patients in TASC A-B group (63.06 ± 9.24 years and 60.85 ± 8.75 years, respectively). Other co-morbidities were comparable in both groups. Hemoglobin level and lymphocyte count were significantly lower, neutrophil, platelet counts, and SII values were significantly higher in patients with TASC C-D disease compared to that of patients with TASC A-B disease. SII showed significant correlation with the severity of LEAD (r = 0.363, p <.001). SII value of 664.24 predicted TASC C-D disease with a sensitivity and specificity of 60.8% and 73.3%, respectively. Results of multivariate logistic regression analysis showed that SII had higher odds ratio compared to platelet, neutrophil, and lymphocyte counts. Conclusion: Higher SII may indicate probability of more complex LEAD. This relationship seems plausible in terms of similar pathophysiology of coronary artery disease and peripheral artery disease. [ABSTRACT FROM AUTHOR]

Objects This study aimed to explore the association between the Systemic Immune-Inflammation Index (SII) and diabetes mellitus (DM) and to assess its influence on the prognosis of the DM and no-DM groups. Methods The study used data from the National Health and Nutrition Examination Survey; 9643 participants were included. Logistic regression analysis was employed to evaluate connections between SII and DM. We used the Cox proportional hazards model, restricted cubic spline, and Kaplan–Meier curve to analyze the relationship between SII and mortality. Results The logistic regression analysis indicated that a significant increase in the likelihood of developing DM with higher SII levels (odds ratio, 1.31; 95% CI, 1.09-1.57, P =.003). The Cox model showed that there is a positive association between increased SII and higher all-cause mortality. The hazard ratios for SII were 1.53 (1.31, 1.78), 1.61 (1.31, 1.98), and 1.41 (1.12, 1.78) in the total, DM and non-DM groups, respectively. We observed a linear correlation between SII and all-cause mortality in DM participants, whereas non-DM participants and the total population showed a nonlinear correlation. Conclusion Elevated SII levels are linked to an augmented risk of DM. Those with DM and higher SII levels demonstrated an elevated risk of mortality. [ABSTRACT FROM AUTHOR]

Introduction: Glioblastoma is the most common primary brain tumor in adults. Recently, research has been published on the potential prognostic indicators associated with different types of cancer. Due to the limited availability of data investigating the relationship between the CALLY index and glioblastoma patients, we aimed to conduct this study. Materials and methods: Between January 2017 and December 2023, we conducted a study on patients diagnosed with glioblastoma. We collected demographic data and routine laboratory tests at the time of admission. To calculate the CALLY index, we used the formula (albumin value × lymphocyte count) / CRP value × 104. Parameters were compared for in-hospital mortality across different groups. Results: The study analyzed 202 patients who met the inclusion criteria. Of these, 165 (81.7%) were classified as "survivors" and 37 (18.3%) as "deceased." A comparison of hematologic parameters between the two groups showed a significantly lower CALLY index in the "deceased" group (3.05 (4.92)) compared to the "survivor" group (10.13 (13.69)) (p < 0.001). The study compared the parameters between groups with regard to in-hospital mortality. Conclusions: Based on the results of the study, we conclude that the CALLY index can be considered an easily applicable indicator for the mortality of glioblastoma patients. [ABSTRACT FROM AUTHOR]

Objective: Trauma is a leading cause of morbidity and mortality in children. One in every four patients with trauma has abdominal trauma. Abdominal trauma is the third leading cause of death associated with trauma. Mortality increases in patients with inflammation because of the body's reaction to trauma. The systemic immune-inflammation index (SIII) is a test indicative of body inflammation based on complete blood count alone. Index value may indicate prognosis of pediatric patients with blunt abdominal trauma. Materials and Methods: The present study was designed as a retrospective, single-center research. The study included pediatric patients with isolated blunt abdominal trauma who were admitted to the emergency department between June 01, 2021 and June 01, 2022 and met the inclusion criteria. Patient demographic data; medical history; leukocytes, platelet, and neutrophil count; SIII; and outcome status were captured in the case form. Results: The study included 103 patients, of whom 64.1% were male and the mean age was 7.32±5.12 years. Mortality was noted in 6.8% of the patients included in the study. The sensitivity and specificity for a cut-off value of 890.47×103/L SIII were 95.7% and 62.5%, respectively (area under the curve: 0.832; 95% confidence interval: 0.820-0.944, p<0.003), in pediatric patients with blunt abdominal trauma. Conclusion: High SIII scores, a rapid, inexpensive, reliable, and radiation-free test, could be used as a predictor of mortality in pediatric patients admitted to the emergency department with blunt abdominal trauma. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to investigate the extent to which the systemic immune-inflammatory index (SII) is associated with patients with acute pulmonary embolism (PE), compare the SII with other commonly used biomarkers and scoring systems, and evaluate its suitability for routine use in PE risk classification. Materials and Methods: Patients with acute PE admitted in 2021 were retrospectively reviewed. A cut-off value for the SII was obtained to examine the predictive value of the SII for 30-day mortality as the primary outcome. The secondary outcome of the study was to compare the SII with other predictors of 30-day mortality in patients with acute PE. Results: A total of 139 patients with a mean age of 68.33±14.58 years were included in the study. The cut-off value for 30-day mortality was an SII of =0.904 (sensitivity: 88.5%; specificity: 58.4%; area under the curve: 0.803; p<0.001). Lactate, age, right ventricular dysfunction (RVD), and SII =0.904 were independent risk factors for 30-day mortality in PE (p<0.05). The SII has a strong correlation with lactate and the presence of RVD (p<0.001). Conclusion: The SII was found to be strongly associated with RVD, age, and lactate in patients with acute PE. Prospective studies may prove that the SII can fill the gap of inexpensive, rapid, and accessible prognostic biomarkers in rural emergency departments where echocardiography is not accessible. [ABSTRACT FROM AUTHOR]

Abstract In recent years, the incidence of tibial plateau fractures (TPF) has been on the rise. Deep vein thrombosis (DVT) may lead to poor prognosis in patients. The systemic immune-inflammation index(SII) are novel biomarkers of inflammation, and this study aims to verify their predictive effect and construct the nomogram model. This study used binary logistic regression analysis to predict the predictive effect of SII on the occurrence of DVT in tibial plateau fracture patients. And use R studio to construct nomogram model. The results showed that Age (1.03 [1, 1.06], p = 0.032), SII (3.57 [1.68, 7.61], p = 0.04), and NC (7.22 [3.21, 16.26], p

Background Erythropoietin (EPO) hypo-responsiveness is one of the main reasons for the low compliance rate of renal anemia in maintenance hemodialysis (MHD) patients, and it is also an independent risk factor for death in MHD patients. Early identification and early intervention is the key to improve prognosis. Blood inflammatory markers may be associated with EPO hypo-responsiveness in MHD patients. Objective To explore the correlation between systemic immune-inflammation index (SII) and EPO hypo-responsiveness in MHD patients. Methods A total of 180 patients who underwent regular MHD at the hemodialysis center of Henan Province Hospital of Traditional Chinese Medicine from June 2022 to June 2023 were selected as the study objects. EPO resistance index (ERI) was used to evaluate the EPO reactivity of the patients, and they were divided into EPO hypo-responsiveness group and non-EPO hypo-responsiveness group according to the ERI value. The general data and laboratory index data of the two groups were compared. Pearson correlation analysis and Spearman rank correlation analysis were used to assess the correlation of ERI with other various indicators. Multivariate Logistic regression analysis was used to explore the independent correlation factors of EPO hypo-responsiveness in MHD patients. The predictive value of SII for EPO hypo-responsiveness in MHD patients was analyzed using receiver operating characteristic (ROC) curves. Results A total of 180 patients with MHD were included, including 104 males (57.8%) and 76 females (42.2%), aged (56.1±8.6) years. There were 52 cases (28.9%) in EPO hypo-responsiveness group and 128 cases (71.1%) in non-EPO hypo-responsiveness group. There were significant differences in dialysis age, post-dialysis body weight, weekly rHuEPO dosage, white blood cells, neutrophils, lymphocytes, red blood cells, hemoglobin, platelets, albumin, parathyroid hormone, triglyceride, ERI, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and SII between EPO hypo-responsiveness group and non-EPO hypo-responsiveness group (P

Abstract The systemic immune-inflammatory index (SII) has been identified as an independent prognostic factor for multiple diseases. However, the impact of SII on outcome of acute-on-chronic liver failure (ACLF) is scant. A retrospective study enrolled patients with ACLF treated with artificial liver support system. Restricted cubic spline (RCS) (knots at the 10th, 50th, and 90th percentiles) and Cox proportional hazards models were applied to investigate the relationship between SII and 90-day transplant-free survival and overall survival in patients with ACLF. A total of 258 patients with ACLF were included. The 90-day transplant-free survival rate and overall survival rate were 58.5% and 66.3%. The SII was 465.5 (277.3–804.4). Adjusted RCS models showed linear exposure–response relationship between SII and 90-day transplant-free survival (P for overall

Objective To investigate the relationship between systemic immune-inflammation index (SII) and lower extremity vascular disease in patients with type 2 diabetes mellitus (T2DM). Methods A cross-sectional study was conducted on 390 T2DM patients admitted in our department from January 2013 to January 2024. According to the diagnostic criteria for lower extremity vascular disease in T2DM patients, they were divided into a lower extremity vascular disease group (n=158) and a control group (n=232). General data and results of laboratory tests were compared between the 2 groups. Spearman correlation analysis was used to identify the related factors for lower extremity vascular diseases in T2DM patients. The correlation between SII and lower extremity vascular diseases in T2DM patients was analyzed using the Row Mean Scores and Cochran-Armitage Trend analysis. Multivariate logistic regression analysis was applied to identify the risk factors for lower limb vascular lesions in T2DM patients. Receiver operating characteristic (ROC) curve was plotted to evaluate the diagnostic efficacy of SII for lower extremity vascular disease in the patients. Results Compared with T2DM patients without lower extremity vascular disease, those with lower extremity vascular disease were older, had higher levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), SII, larger proportion of carotid vascular lesions, and increased proportion of no-taking statins. The lower extremity vascular disease in T2DM patients was positively correlated with SII/100 (r=0.429, P

Abstract Background Depression and tooth loss are associated with the occurrence of systemic disease or the progression of multi-factorial disease, and both are considered important public health issues by World Health Organization (WHO). Previous research just suggested that tooth loss can generate psychological stress, low self-esteem, anxiety and other emotional disturbances. However, the precise correlation and underlying mechanisms between depression and tooth loss remains poorly understood. ​Consequently, we aim to explore the association between depression and tooth loss through a cross-sectional study, as well as investigate potential pathways of influence. Methods We analyzed data from the National Health and Nutrition Examination Survey (NHANES). Logistic regression models were employed to examine the relationship between depression and tooth loss, as well as the associations among healthy lifestyle, systemic immune-inflammation index (SII), depression and tooth loss. Through the mediating effect analysis by bootstrapping analysis, we evaluated the mediating effects of healthy lifestyle and SII between depression and tooth loss. Results Depressed patients were more likely to be toothless, and at the same time showed a tendency to have more missing teeth, with odds ratio (OR) = 1.305 (1.098, 1.551), p = 0.003 for 1–7 missing teeth, OR = 1.557 (1.166, 2.079), p = 0.003 for 8–14 missing teeth, and OR = 1.960 (1.476, 2.603), p

Abstract This study aims to explore the relationship between the Systemic Immune-Inflammation Index (SII) and Cardiovascular-Kidney-Metabolic (CKM) Syndrome and its components. Data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018 were analyzed. CKM Syndrome is defined as the coexistence of Cardiometabolic Syndrome (CMS) and Chronic Kidney Disease (CKD). The SII is calculated using the formula: SII = (Platelet count × Neutrophil count)/Lymphocyte count. Weighted logistic regression models were used to examine the associations between SII and CKM, as well as its specific components. Restricted cubic splines explored non-linear relationships, and piecewise linear regression models assessed threshold effects. A consistent positive correlation was observed between elevated SII levels and the likelihood of CKM and its related diseases. In the fully adjusted Model 3, an increase of 1000 units in SII was associated with a 1.48-fold increase in the odds of CKM (95% CI 1.20–1.81, p

Introduction: The 2018 Tokyo Guidelines are insufficient for preoperative prediction of severe acute cholecystitis (AC) preoperatively. The Parkland Grading Scale (PGS) aids in intraoperative assessment but lacks preoperative utility. Biomarkers like C-reactive protein/albumin ratio (CAR) and systemic immune-inflammation index (SII) were explored for preoperative prediction of severe AC. The present study aimed to investigate the efficacy of biomarkers against severe AC. Methods: A retrospective analysis at the University of Health Sciences Turkey, Fatih Sultan Mehmet Training and Research Hospital covered patients undergoing early laparoscopic cholecystectomy for AC from January 2014 and January 2023. AC was defined according to the 2018 Tokyo Guidelines criteria. Patients were categorized into two groups based on the PGS for intraoperative findings: Group 1 (grades 1-3) for mild AC and group 2 (grades 4-5) for severe AC. Clinical parameters, intraoperative findings, postoperative outcomes, and biomarkers, including CAR and SII, were analyzed. Results: Of 141 patients, 93 were included in group 1 and 48 in group 2. Group 2 exhibited longer operation times, higher rates of conversion to open cholecystectomy, and complications, and prolonged hospital stays. Clinical parameters such as age, sex, symptom duration, and ASA score were varied between the groups. Biomarkers including C-reactive protein and white blood cell count differed significantly between the groups, with CAR and SII identified as predictive factors for severe AC. The cut-off points were 1.86 for CAR and 1327.69 for SII. Conclusion: Preoperative biomarkers, particularly CAR and SII, can effectively predict severe AC. Levels exceeding 1.86 for CAR and 1327.69 for SII indicate increased conversion to open cholecystectomy and postoperative complication risk.

Abstract Neonatal respiratory distress syndrome (NRDS) is one of the leading causes of neonatal mortality in low-income countries. It is caused by a lack of surface-active substances in the lungs, and the maternal inflammatory response plays an important role in the formation of surface-active substances in the fetal lungs. We aimed to investigate the correlation between maternal prenatal systemic inflammatory indices and respiratory distress syndrome in preterm neonates. This is a retrospective case–control study that collected data from all patients who delivered between 28 and 36 weeks of gestation at Longhua District People's Hospital in Shenzhen City and whose infants were admitted to the neonatal unit, newborns with respiratory distress syndrome were in the experimental group (NRDS group), and newborns without NRDS were in the control group (non-NRDS group). To minimize the effect of confounders on the results, propensity score matching was performed on baseline characteristics. Totally, 524 patients were included (93 in the NRDS group and 431 in the non-NRDS group), and 71 matched pairs (142 patients). The neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI) and neutrophil lymphocyte to platelet ratio (NLPR) were higher in the NRDS group than in the non-NRDS group (p

Abstract Our study focuses on the relationship between inflammatory biomarkers and hypertension among sedentary adults in the United States, using data from the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2018. We categorized 24,614 participants into two groups based on their daily sedentary time: 9607 individuals in the sedentary group (≥7 h) and 15,007 in the non‐sedentary group (

Background The pan-immune inflammatory value (PIV) and systemic immune-inflammatory index (SII) are considered novel inflammatory markers for assessing the risk of atherosclerotic cardiovascular diseases. However, few studies have confirmed the impact of PIV and SII on atherosclerotic plaques. Objective To explore the relationship between PIV, SII, and vulnerable atherosclerotic plaques in patients with acute coronary syndrome (ACS) using optical coherence tomography (OCT) . Methods This retrospective study included 525 ACS patients treated at the Second Affiliated Hospital of Zhengzhou University from December 2020 to June 2023. All patients underwent coronary angiography and OCT imaging. Patients were further categorized into low PIV (

• Early prediction of severe COVID-19 in autoimmune patients using NLR, PLR, and SII. • PLR, NLR, and SII significantly higher in severe COVID-19 cases. • Increased PLR, NLR, and SII are identified as risk factors for severe COVID-19. • Study addresses scarce data on Chinese population with autoimmune diseases. Early identification of risk factors for adverse COVID-19 progression in patients with autoimmune diseases is crucial for patient management, but data on the Chinese population are scarce. The purpose of this study was to identify predictors of severe COVID-19 in patients using blood cell ratios, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and other inflammatory markers. A retrospective study of 855 patients (746 females; median age 49 years) with autoimmune diseases and concurrent COVID-19 was conducted from December 2022 to February 2023 at the Rheumatology and Immunology Department of the First Affiliated Hospital of Nanchang University. Disease severity was assessed according to the 8th edition of the National Health Commission of the People's Republic of China's COVID-19 Diagnosis and Treatment Guidelines. The clinical classification criteria group mild and moderate cases as nonsevere cases and severe and critical cases as severe cases. A multivariate logistic regression model was established to evaluate the relationships between COVID-19 severity and demographic characteristics, comorbidities, medication use, and laboratory findings. The PLR, NLR, and SII were significantly greater in the severe COVID-19 group than in the nonsevere group (all P < 0.05). In addition to classical independent clinical risk factors, increases in the PLR (OR: 1.004, 95 % CI: 1.001∼1.007, p = 0.001), NLR (OR: 1.180, 95 % CI: 1.041∼1.337, p = 0.010), and SII (OR: 0.999, 95 % CI: 0.998∼1.000, p = 0.005) were identified as risk factors for severe COVID-19 in patients with autoimmune diseases. After adjusting for clinical risk factors, the PLR (AUC: 0.592 vs. 0.865; P < 0.05), NLR (AUC: 0.670 vs. 0.866; P < 0.05), and SII (AUC: 0.616 vs. 0.864; P < 0.05) demonstrated higher predictive values. Early prediction of severe COVID-19 in patients with autoimmune diseases can be achieved using the NLR, PLR, and SII. [ABSTRACT FROM AUTHOR]

Abstract Background Despite the known association between chronic inflammation and reduced muscle mass, there is a gap in research regarding the association between the systemic immune-inflammation index (SII) and sarcopenic obesity (SO). This study aims to assess the relationship between SII and SO in middle-aged and elderly adults and the mediating role of triglyceride-glucose index (TyG). Methods This cross-sectional study involved 2,719 participants aged 45–90 years who underwent health check-ups. SO was evaluated by combining sarcopenia [assessed by handgrip strength and appendicular skeletal muscle index (ASMI)] with obesity (determined by body fat percentage). Association between SII and SO, sarcopenia, and obesity in middle-aged and elderly individuals was examined using multivariable logistic regression, restricted cubic spline analysis, and subgroup analysis. Bidirectional mediation analysis was conducted to determine the direct and indirect effects through SII and TyG. Results The study included 2,719 participants, of which 228 had SO (8.4%). SO prevalence increased as the SII quartiles rose (P for trend 0.05). Conclusions Elevated levels of SII were associated with an increased risk of SO in middle-aged and elderly adults, especially in the elderly population, and elevated TyG levels played a role in this relationship.

Abstract Background Non-alcoholic fatty liver disease (NAFLD) is a growing health crisis in the general population of the United States (U.S.), but the relationship between systemic immune-inflammation (SII) index and NAFLD is not known. Methods We collected data from the National Health and Nutrition Examination Survey 2017–2018. Next, propensity score matching (PSM), collinearity analysis, restricted cubic spline (RCS) plot, logistic regression, quantile regression analysis, subgroup analysis, mediation analysis, and population attributable fraction were used to explore the association of the SII with risk of NAFLD. Results A total of 665 participants including the 532 Non-NAFLD and 133 NAFLD were enrolled for further analysis after PSM analysis. The RCS results indicated that there was a linear relationship between the SII and controlled attenuation parameter (p for nonlinear = 0.468), the relationship also existed after adjustment for covariates (p for nonlinear = 0.769). The logistic regression results indicated that a high SII level was an independent risk factor for NAFLD (OR = 3.505, 95% CI: 1.092–11.249, P

Abstract Background SII, PNI, SIRI, AAPR, and LIPI are prognostic scores based on inflammation, nutrition, and immunity. The purpose of this study was to examine the prognostic value of the SII, PNI, SIRI, AAPR, and LIPI in patients with UTUC who underwent radical nephroureterectomy with bladder cuff excision. Materials and methods Data of UTUC patients in Sichuan Provincial People's Hospital from January 2017 to December 2021 were collected. The optimal critical values of SII, PNI, SIRI, and AAPR were determined by ROC curve, and LIPI was stratified according to the dNLR and LDH. The Kaplan–Meier method was used to draw the survival curve, and Cox proportional hazard model was used to analyze the factors affecting the prognosis of UTUC patients. Results A total of 81 patients with UTUC were included in this study. The optimal truncation value of PNI, SII, SIRI and AAPR were determined to be 48.15, 596.4, 1.45 and 0.50, respectively. Univariate Cox proportional hazard regression showed that low PNI, high SII, high SIRI, low AAPR and poor LIPI group were effective predictors of postoperative prognosis of UTUC patients. Multivariate Cox proportional hazard regression showed that high SII was an independent risk factor for postoperative prognosis of UTUC patients. According to ROC curve, the prediction efficiency of fitting indexes of PNI, SII, SIRI, AAPR and LIPI is better than that of using them alone. Conclusions The SII, PNI, SIRI, AAPR, and LIPI was a potential prognostic predictor in UTUC patients who underwent radical nephroureterectomy with bladder cuff excision.

Abstract Background Bilirubin is known for its multifaceted attributes, including antioxidant, anti-inflammatory, immunomodulatory, and antiapoptotic properties. The systemic immune-inflammation index (SII) is a recent marker that reflects the balance between inflammation and immune response. Despite the wealth of information available on bilirubin’s diverse functionalities, the potential correlation between the total bilirubin (TB) levels and SII has not been investigated so far. Methods Leveraging data from the National Health and Nutrition Examination Survey spanning 2009–2018, the TB levels were categorized using tertiles. Employing the chi-squared test with Rao and Scott’s second-order correction and Spearman’s rank correlation analysis, the association between TB and SII was examined. The potential nonlinearities between TB and SII were evaluated using restricted cubic spline (RCS) analysis. Weighted linear regression, adjusted for covariates, was used to explore the correlation between TB and SII, with further subgroup analyses. Results A total of 16,858 participants were included, and the findings revealed significant SII variations across TB tertiles (p 0.05), thereby providing support for a linear relationship. Weighted linear regression analysis underscored the negative correlation between TB and SII (β 95% CI − 3.9 [− 5.0 to − 2.9], p

Abstract The systemic immune-inflammation index (SII), a metric reflecting systemic inflammatory response and immune activation, remains underexplored concerning its correlation with mortality among rheumatoid arthritis (RA) patients. This study aimed to delineate the association between SII and both all-cause and cardiovascular mortality within the cohort of American adults diagnosed with RA, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. The investigation extracted data from NHANES cycles between 1999 and 2018, identifying RA patients through questionnaire responses. The SII was computed based on complete blood counts, employing the formula: (platelets × neutrophils) / lymphocytes. The optimal SII cutoff value for significant survival outcomes was determined using maximally selected rank statistics. Multivariable Cox proportional hazards models assessed the relationship between SII levels and mortality (all-cause and cardiovascular) among RA patients, with subgroup analyses examining potential modifications by clinical confounders. Additionally, restricted cubic spline (RCS) analyses were conducted to explore the linearity of the SII-mortality association. The study encompassed 2070 American adults with RA, among whom 287 exhibited a higher SII (≥ 919.75) and 1783 a lower SII (

Abstract Background and aims The cardiotoxicity related to 5-Fluorouracil (5-FU) in cancer patients has garnered widespread attention. The systemic immune-inflammation index (SII) has recently been identified as a novel predictive marker for the development of cardiovascular illnesses in individuals without pre-existing health conditions. However, it remains unclear whether the levels of SII are linked to cardiotoxicity related to 5-FU. This retrospective study aims to fill this knowledge gap by examining the correlation between SII and cardiotoxicity related to 5-FU in a colorectal cancer cohort. Methods The study comprised colorectal cancer patients who received 5-FU-based chemotherapy at the affiliated cancer hospital of Guizhou Medical University between January 1, 2018 and December 31, 2020. After adjustment for confounders and stratification by tertiles of the interactive factor, linear regression analyses, curve fitting and threshold effect analyses were conducted. Results Of the 754 patients included final analysis, approximately 21% (n = 156) of them ultimately experienced cardiotoxicity related to 5-FU. Monocytes (M) was found as an influential element in the interaction between SII and cardiotoxicity related to 5-FU. In the low tertile of M (T1: M ≤ 0.38 × 109/L), increasing log SII was positively correlated with cardiotoxicity related to 5-FU (Odds Ratio [OR], 8.04; 95% confidence interval [95%CI], 1.68 to 38.56). However, a curvilinear relationship between log SII and cardiotoxicity was observed in the middle tertile of M (T2: 0.38 0.52 × 109/L), there was a tendency towards a negative linear correlation between the log SII and cardiotoxicity was observed (OR, 0.85; 95%CI, 0.37 to 1.98). Conclusion Our findings suggest that SII may serve as a potential biomarker for predicting cardiotoxicity related to 5-FU in colorectal cancer patients. SII is an independent risk factor for cardiotoxicity related to 5-FU with low monocytes levels (T1). Conversely, in the middle monocytes levels (T2), SII is a protective factor for cardiotoxicity related to 5-FU but with a threshold effect.

Objective To investigate the associations of multiple immunoinflammatory markers in peripheral blood before and after operation, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI), with postoperative recurrence and metastasis in oral squamous cell carcinoma (OSCC) patients, to provide a reference for predicting the prognosis of OSCC patients. Methods This study was approved by the hospital ethics committee, and informed consent was obtained from the patients. A total of 160 patients with primary OSCC who underwent radical surgery were grouped according to preoperative lymph node metastasis, degree of differentiation, clinical T stage, and postoperative recurrence and metastasis. The last preoperative and 1-month postoperative routine blood test results of all the patients were collected to analyze the relationship between peripheral blood inflammatory indicators, including the NLR, PLR, LMR, SII, and SIRI, before and after surgery.The above clinicopathological indicators and postoperative recurrence and metastasis were evaluated in OSCC patients. Results Among the 160 patients, there was a significant difference in the preoperative SII between the preoperative lymph node metastasis group and the no metastasis group (PPPP