Value Of Systemic Immune-inflammation Index Research Articles

Predicting the prognosis of patients with renal cell carcinoma based on the systemic immune inflammation index and prognostic nutritional index

The aim of the study was to analyze and discuss the value of preoperative systemic immune inflammation index (SII) and prognostic nutritional index (PNI) in predicting the prognosis of patients with renal cell carcinoma (RCC) after operation, and to establish a nomogram prediction model for patients with RCC after operation based on SII and PNI. From January 2014 to December 2018, 210 patients with RCC who underwent surgical treatment at the Xuzhou Central Hospital were selected as the research object. The receiver operating characteristic curve (ROC) was used to determine the optimal cut-off value for preoperative SII, PNI, LMR, PLR, NLR and the patients were divided into groups according to the optimal cutoff values. The survival rate of patients was evaluated. The risk factors that affect the prognosis of patients with RCC were determined by LASSO and Cox regression analysis, and a prognostic nomogram was constructed based on this result. The bootstrap method was used for internal verification of the nomogram model. The prediction efficiency and discrimination of the nomogram model were evaluated by the calibration curve and index of concordance (C-index), respectively. The average overall survival (OS) of all patients was 75.385 months, and the 1-, 2-and 3-year survival rates were 95.5%, 86.6% and 77.2%, respectively. The survival curve showed that the 5-year OS rate of low SII group was significantly higher than that of high SII group (89.0% vs. 64.5%; P < 0.05), and low PNI group was significantly lower than those in high PNI group (43.4% vs. 87.9%; p < 0.05). There were significant differences between preoperative SII and CRP, NLR, PLR, LMR, postoperative recurrence, pathological type and AJCC stage (P < 0.05). There were significant differences between preoperative PNI and BMI, platelet, NLR, PLR, LMR, postoperative recurrence, surgical mode and Fuhrman grade (P < 0.05). The ROC curve analysis showed that the AUC of PNI (AUC = 0.736) was higher than that of other inflammatory indicators, followed by the AUC of SII (0.718), and the difference in AUC area between groups was statistically significant (P < 0.05). The results from multivariate Cox regression analysis showed that SII, PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade were independent risk factors for postoperative death of patients with RCC. According to the results of Cox regression analysis, a prediction model for the prognosis of RCC patients was established, and the C-index (0.918) showed that the model had good calibration and discrimination. The subject’s operating characteristic curve indicates that the nomogram has good prediction efficiency (the AUC = 0.953). Preoperative SII and PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade are closely related to the postoperative prognosis of patients with renal cell carcinoma. The nomogram model based on SII, PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade has good accuracy, discrimination and clinical prediction efficiency.

Systemic Inflammatory Indices as Predictors of Lung Maturation in Preterm Infants Born Before 32 Weeks of Gestation

AbstractIncreased inflammation in premature infants in the prenatal period reduces respiratory distress syndrome (RDS). Several systemic inflammatory indices have been used to evaluate inflammatory responses in different pathologies. Our study aimed to determine the systemic inflammatory indices as predictors of lung maturation in preterm infants born before 32 weeks of gestation. In this study, preterm infants born before 32 weeks of gestation were enrolled and categorized based on the diagnosis of RDS. At birth, infants were assessed for various systemic inflammatory indices, including the systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), systemic inflammation response index (SIRI), and the monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). The study included 365 infants, of whom 211 had RDS. The median gestational ages (GA) were 27 (range: 25–29) and 30 (range: 29–31) weeks, and the median birth weights were 850 (range: 660–1,360) and 1,375 (1,090–1,600) g in the RDS and control groups, respectively. Infants in the RDS group had significantly lower MLR, NLR, PIV, SII, and SIRI values (p = 0.001) compared to the control group. The cutoff values for predicting RDS in the whole group were 239 for SII, 0.44 for SIRI, and 78 for PIV. For the group of preterm infants born at ≤28 weeks of gestation, values of 171, 0.5, and 87 for SII, SIRI and PIV, respectively, provided the best ability to predict RDS. For the whole cohort, SII level ≥239 was associated with a reduced risk of RDS, as revealed by multivariate analyses (p = 0.001). To account for GA, we performed regression analyses for infants born at ≤28 weeks. SII ≥171 (odds ratio [OR]: 0.12; 95% confidence interval [CI]: 0.05–0.3), PIV ≥87 (OR: 0.08; 95% CI: 0.03–0.21), and SIRI ≥0.5 (OR: 0.08; 95% CI: 0.03–0.2) were associated with a reduced risk of RDS. Inflammation in the perinatal period may reduce the frequency of RDS in premature infants.

Correlation and predictive value of systemic immune-inflammation index for dyslipidemia in patients with polycystic ovary syndrome

BackgroundPolycystic ovary syndrome(PCOS) is one of the main factors leading to infertility in women of reproductive age, which is often accompanied by metabolic changes such as obesity and chronic low-grade inflammation. Chronic inflammation may play an important role in the occurrence and development of metabolic diseases. Therefore, it is of great significance to explore the relationship between abnormal lipid metabolism and inflammation in PCOS patients. This study aims to analyze the correlation between systemic immune-inflammatory(SII) markers and dyslipidemia in patients with PCOS and their value in early diagnosis.MethodsA total of 617 PCOS patients aged 20–35 years (according to the Rotterdam diagnostic criteria) who visited the Reproductive Center of the First Hospital of Lanzhou University from January 2020 to December 2022 were included. According to the presence or absence of dyslipidemia, the patients were divided into normal lipid metabolism group and abnormal lipid metabolism group. The clinical data of the patients were collected and analyzed by SPSS software.ResultsThere were 454 patients with normal lipid metabolism and 163 patients with abnormal lipid metabolism. The SII level of the abnormal lipid metabolism group was higher than that of the normal group. As the SII quartile increased, TC, TG and LDL increased, while HDL decreased accordingly. The SII level was positively correlated with TC, TG and LDL, and negatively correlated with HDL (all P < 0.05). Among them, SII had the best predictive efficiency for dyslipidemia of polycyctic ovary syndrome at 489.375 (AUC: 0.718, 95%CI: 0.672–0.764), and SII was still associated with the increased occurrence of PCOS dyslipidemia after excluding confounding factors (P < 0.05). ConclusionThe high level of SII has a correlation with the occurrence of dyslipidemia in PCOS patients, and it has a value in the early diagnosis of PCOS.

Predictive value of the dynamic systemic immune-inflammation index in the prognosis of patients with intracerebral hemorrhage: a 10-year retrospective analysis.

The systemic immune-inflammation index (SII) is a novel immune inflammatory marker which has been proven to have excellent predictive value for many diseases. The aim of this study was to investigate the predictive value of SII at different time points after admission for functional outcome at discharge in patients with intracerebral hemorrhage (ICH). The clinical data of patients with ICH who were treated at a medical center for neurological diseases in China between October 2012 and April 2022 were analyzed in this retrospective study. The SII was calculated based on neutrophil×platelet/lymphocyte counts and collected within the first 14 days after admission to analyze the dynamic changes. Adverse outcome was defined as a modified Rankin Scale (mRS) score of 4-6 at discharge. The correlation between the SII and the outcome was assessed using univariate and multivariate logistic regression analyses. The ability of SII to predict outcome was evaluated by the area under the receiver operating characteristic (ROC) curve (AUC). A total of 1,569 patients with ICH were included, of whom 790 had adverse outcome (50.35%). The Univariate logistic regression analysis showed that SII at any time point within 14 days after admission was significantly associated with adverse outcome. In the multivariate logistic regression analysis, the SII within 7 days after admission was found to be an independent predictor of adverse functional outcome in ICH patients at discharge. The ROC curve demonstrated that compared to other time points, the SII on day 2 after admission exhibited stronger predictive power for the functional outcome of patients with ICH at discharge (AUC:0.733, 95%CI = 0.679-0.787) (sensitivity 47.09%, specificity 87.02%) (OR 1.074, 95%CI = 1.033-1.126, p = 0.001). SII within 7 days after admission, especially on day 2, is independently associated with adverse functional outcome in ICH patients at discharge. This association could be utilized in clinical practice and warrants further investigation.

The Systemic Immune-Inflammation Index is a Predictor of Chemotherapy Sensitivity and Disease-Free Survival in Patients With Hormone Receptor-Positive Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer

BackgroundThe relationship between the systemic immune-inflammation index (SII), chemotherapy sensitivity, and prognosis in HR+HER2– breast cancer (BC) has not been extensively studied. Patients and methodsClinical data from 980 patients diagnosed with HR+HER2– BC between June 2012 and June 2016 were collected. Patients were divided into low- and high-SII groups according to median SII value. Differences among variables were assessed using the chi-squared test. The inverse probability of treatment weighting (IPTW) method was used to control bias. The associations between clinicopathological factors, baseline SII, and disease-free survival (DFS) were analyzed using Kaplan–Meier curves and Cox analyses. ResultsThe median follow-up period was 37 months (5-77). 480 patients underwent neoadjuvant chemotherapy, and low baseline SII values were associated with higher pathological complete response (pCR) rates than those in the high SII group (16.4% vs. 9.2%; P = .019). Multivariate analyses revealed that larger tumor size, more lymph node involvement, high Ki-67 score, and high baseline SII were independent prognostic factors for worse outcomes in patients with HR+HER2– BC. The risk for metastasis/recurrence was higher in the high SII group compared with that in the low SII group (hazard ratio 2.07 [95% CI, 1.35-3.19]; P = .001). After IPTW, a similar result was obtained, in that a high SII value was significantly associated with worse DFS among patients with HR+HER2– BC. ConclusionA low baseline SII was associated with higher pCR rates after neoadjuvant chemotherapy and was an independent prognostic factor for better DFS outcomes in patients with HR+HER2– BC.

The Systemic Inflammatory Response Index as a Novel Diagnostic Indicator for Bell's Palsy.

Aims/Background The systemic inflammatory response index (SIRI), an emerging hematological marker of inflammation, has shown promise as a promising biomarker for a variety of inflammatory conditions. This study aims to explore the diagnostic role of SIRI in Bell's palsy (BP). Methods For this retrospective study, 73 people diagnosed with BP between January 2021 and December 2023 were recruited, along with 73 healthy controls who were age- and sex-matched. The SIRI and other blood inflammatory markers, including the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), were determined for all participants, by enumerating their peripheral blood cell counts. Facial nerve function was assessed upon admission and after one month of treatment using the House-Brackmann Facial Nerve Grading System (H-B). According to this system, patients with an H-B grade of 1-2 are considered recovered, while those with an H-B grade of 3-6 are regarded as not recovered. Results The SIRI (0.94 vs 0.48, p < 0.001), SII (480.3 vs 329.12, p < 0.001), NLR (2.42 vs 1.41, p < 0.001), and PLR (141.05 vs 117.28, p = 0.001) showed a significant increase in the BP group compared to the control group. The receiver operating characteristic (ROC) curve analysis revealed that the area under the curve (AUC) for SIRI was higher than those for SII, NLR, and PLR, respectively. Upon one-month follow-up, significant differences in the values of SIRI, SII, and NLR were observed between the favorable prognosis group and the poor prognosis group (SIRI: 1.07 vs 0.87, p = 0.011; SII: 647.85 vs 422.11, p = 0.005; NLR: 3.31 vs 2.11, p = 0.013). The AUC of ROC curve for SIRI was found to be lower than that of SII but higher than that of NLR. Conclusion The SIRI has the potential to be an important BP diagnostic and prognostic marker.

SYSTEMIC IMMUNE INFLAMMATION INDEX AND PAN-IMMUNE INFLAMMATION VALUE IN PREDICTING HUMAN LEUKOCYTE ANTIGEN-B27 POSITIVITY: A STUDY ON ANKYLOSING SPONDYLITIS PATIENTS

Objective: Ankylosing spondylitis (AS) is defined as both an auto-immune and autoinflammatory illness. Human leukocyte antigen B27 (HLA-B27), which is extensively employed in the diagnosis of chronic inflammatory diseases, is the basic laboratory parameter of axial spondylarthritis including AS. Systemic immune-inflammation index (SII) and pan-immune-inflammation value (PIV), obtained by formulating complete blood count parameters, are promising biomarkers that reflect systemic inflammation and local immune response and predict prognosis in diseases. The aim of this study was to investigate the sensitivity and specificity of SII and PIV biomarkers in predicting HLA-B27 positivity in AS patients. Materials and Methods: The research included 68 individuals with HLA-B27 tests (+) (AS group) and 102 patients with HLA-B27 tests (-) (control group). Results: In the AS group, lymphocyte and mean platelet volume values were determined to be lower than in the control group, while other complete blood count parameters, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), were found to be higher. While the SII and PIV values of the AS group determined a positive relation with CRP and ESR levels, they did not show a correlation in the control group. While the sensitivity for PIV in predicting HLA-B27 positivity was found to be 83.80% and the specificity was found to be 84.30%, for SII the sensitivity was found to be 83.80% and the specificity was found to be 86.30%. Conclusion: Easily and rapidly accessible biomarkers SII and PIV can potentially be used to predict HLA-B27 positivity in AS patients.

Impact of Sleep Quality on Hemogram-Derived Inflammatory Indices in Medical Undergraduates: A Cross-Sectional Study

The link between sleep-related disorders and inflammation is well-known, but the association between inflammatory indices and sleep deprivation is still unclear. In our study, we aimed to investigate the relationship between irregular sleep patterns and systemic inflammation using Hemogram-Based Inflammatory Indices. We collected demographic information from 90 undergraduate medical students through a confidential questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Blood samples were obtained for complete blood count analysis, with platelet (P), lymphocyte (L), and neutrophil (N) counts measured. These values were then used to calculate hemogram-based inflammatory indices, including the Systemic Immune-Inflammation Index (SII), Platelet-to-Lymphocyte Ratio (PLR), and Neutrophil-to-Lymphocyte Ratio (NLR). A high prevalence of inconsistent sleep was observed among medical students, with 53% reporting a PSQI score greater than 5(mean score 5.9±2.9). Subjects with poor sleep quality had elevated SII values. Additionally, female participants who experienced poor sleep quality demonstrated a significant positive correlation with SII (r=0.322; p&lt;0.049). Irregular sleep patterns are associated with greater systemic inflammation milieu specifically with SII compared to NLR and PLR. This effect was more pronounced in female participants, suggesting a potential gender-specific influence.

The diagnostic value of systemic inflammation indices in pregnant women with acute appendicitis and their relationship with the duration of hospital stay

Aim: Physiological and anatomical changes occurring during pregnancy can complicate the diagnosis of acute appendicitis (AA). This study aimed to evaluate the diagnostic performance of systemic inflammation indices in distinguishing AA in pregnant women and to assess their relationship with hospital stay duration. Material and Methods: This retrospective study encompassed 32 pregnant patients who underwent appendectomy and 32 healthy pregnant (control group). Systemic inflammation indices were calculated based on neutrophil (N), platelet (P), and lymphocyte (L) levels as follows: The neutrophil-to-lymphocyte ratio (NLR) = N/L; the platelet-to-lymphocyte ratio (PLR) = P/L; systemic immune-inflammation index (SII) = (N×P)/L. Results: The AA group had higher median levels of PLR (30.9 vs. 22.4, p = 0.035), NLR (6.1 vs. 3.5, p &lt; 0.001), and SII (1370 vs. 807, p &lt; 0.001) compared to the control group. Systemic inflammation indices showed a positive correlation with the Alvarado score and the length of hospital stay. SII values demonstrated superior diagnostic performance in predicting AA compared to NLR and PLR values. The threshold value for SII in predicting AA was identified as &gt;1316, with a sensitivity of 85.8% and a specificity of 72.5%. Conclusions: Systemic inflammation indices, particularly SII, demonstrate strong diagnostic value in distinguishing AA in pregnant women. SII demonstrated superior accuracy over NLR and PLR, correlating with both the Alvarado score and hospital stay, suggesting its utility as a diagnostic and prognostic marker.

Prognostic role of systemic immune-inflammation index versus other cardiac markers in acute myocarditis in young adults.

Aim: Myocarditis, an inflammatory disease of the myocardium, can range from asymptomatic cases to severe forms such as fulminant myocarditis. The systemic immune-inflammation index (SII) has emerged as a potential biomarker for various inflammatory diseases. This study aimed to determine the effect of SII on the prognosis of young adults with acute myocarditis and compare it with other cardiac markers.Methods: We retrospectively analyzed patients aged 18-40years who were admitted to the emergency department with a diagnosis of acute myocarditis between January 2014 and January 2024. Patients were divided into non-fulminant and fulminant myocarditis groups based on diagnostic criteria.Results: SII, troponin I and N-terminal pro-brain natriuretic peptide (NT-proBNP) levels were significantly higher in the fulminant myocarditis group (p<0.001 for all). Logistic regression analysis identified SII and NT-proBNP as independent predictors of fulminant myocarditis but not for troponin I (p=0.064). The optimal cutoff value for SII in diagnosing fulminant myocarditis was 1020, with a sensitivity of 91% and specificity of 83%, outperforming troponin I. Patients with SII ≥1020 had a significantly higher risk of adverse outcomes.Conclusion: The SII enables early detection of adverse outcomes and is an independent predictor of prognosis in young adults with myocarditis.

Body Mass Index Combined With Inflammatory Factors Can Better Predict Varicocele.

Most patients with VC have no symptoms, so they are often discovered due to male infertility. Early identification of them is a matter of concern for clinicians. A retrospective analysis of clinical data from patients between January 1, 2021, and February 1, 2024, was conducted. Patients were divided into VC and non-VC groups. Propensity score matching (PSM) was performed at a ratio of 1:1, and two cohorts with homogeneous baseline status were selected. Multivariate binary logistic regression and receiver operating characteristic (ROC) curve were used to analyze independent risk factors and protective factors and to evaluate their diagnostic value individually and in combination. A p-value <0.05 was considered statistically significant. A total of 256 patients with similar clinical characteristics were further analyzed after PSM in a 1:1 ratio of the 423 patients included in the study. The two groups had statistically significant differences in systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and body mass index (BMI) (p<0.05). Multivariate binary logistic regression analysis showed that SII and NLR were independent risk factors for VC, while high BMI could reduce the prevalence of VC. The PLR differences were not significant. The ROC analysis showed that BMI, SII, and NLR could predict VC, with areas under the curve of 68.3% (cut-off value 22.32), 83.4% (cut-off value 357.57), and 83.2% (cut-off value 1.8), respectively. The combination of BMI and inflammatory factors was more accurate for predicting VC than BMI alone (87.5% vs. 68.3%, p=0.0001), SII (87.5% vs. 83.4%, p=0.0106), and NLR (87.5% vs 83.2%, p=0.0058). Both SII and NLR are independent risk factors for VC while BMI is an independent protective factor. The BMI, SII, and NLR values have the potential to predict VC. The BMI combined with these inflammatory factors can improve the accuracy of prediction.

Predictors of response to accelerated rTMS in the treatment of treatment-resistant depression.

Accelerated repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for treatment-resistant depression (TRD). We aimed to investigate the existence of clinical predictive factors in response to accelerated rTMS in the treatment of TRD. In total, 119 TRD patients who received accelerated rTMS were included in this study. The stimulation protocol was 15Hz stimulation over the the left dorsolateral prefrontal cortex. The protocol consisted of 25 sessions, each session lasting 30min for a total of 3000 pulses. Five sessions were applied per day for 5 consecutive days. At baseline (T0), day 5 (immediately after treatment) (T1), 4 weeks after treatment (T2), depression severity was evaluated using the 17-item Hamilton Depression Rating Scale (HAMD-17), cognitive function was evaluated using Wisconsin Card Sorting Test (WCST), the intensity of suicidal ideation was evaluated using the Columbia-Suicide Severity Rating Scale (C-SSRS). Systemic immune-inflammation index (SII) was calculated at T0 and T2. The HAMD-17 scores, WCST performance, the C-SSRS scores at T1 and T2 were improved from T0 (P < 0.01). The SII at T2 was lower than at T0 (P < 0.01). The response rates at T1 and T2 were 57.98% (69/119) and 48.74% (58/119), respectively. The results of binary logistic analysis showed that shorter course of depression, two failed antidepressant trials, no history of ECT treatment, and lower levels of SII were predictive factors for accelerated rTMS treatment response at T1 and T2 (P < 0.05), while not having a history of hospitalization was a predictive factor for response at T2 (P < 0.05) but not at T1 (P > 0.05). Based on ROC curve analysis, the optimal cut-off values of SII for discriminating responders from non-responders at T1 and T2 were < 478.56 and < 485.03, respectively. The AUC of SII at T0 predicting response for T1 and T2 were 0.729 and 0.797. We found several clinical predictors of better responses to the accelerated rTMS. Identifying clinical predictors of response is relevant to personalize and adapt rTMS protocols in TRD patients.

Increased Systemic Immune-Inflammation Index as a Novel Indicator of Alzheimer's Disease Severity.

Inflammatory processes and neurodegeneration are common features of Alzheimer's disease (AD). The systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) are easily accessible, cost-effective prognostic indicators of inflammation status. We assessed the diagnostic value of SII and compared the efficacies of NLR, PLR, and SII in predicting AD severity. Between January 2021 and December 2022, this prospective, cross-sectional clinical study included 175 patients with AD and 61 controls. SII, NLR, and PLR were calculated. Age, white blood cell and lymphocyte counts, and NLR and PLR values were significantly different between the patient and control groups (P <.05). Age, hemoglobin, neutrophil, NLR, and SII values were significantly different among dementia severity subgroups (P <.05). Compared with PLR and SII, NLR was more strongly correlated with dementia severity. In the analysis of adjusted data by gender, it was found that hemoglobin level is significantly negatively associated with dementia severity in males, while in females, age and PLR are significantly positively associated with dementia severity, and lymphocyte count and SII are negatively associated. SII, a novel inflammatory marker, was associated with dementia severity in patients with AD. Compared with PLR and SII, NLR was more strongly correlated with dementia severity. In future studies with larger populations, SII and NLR values can be used to determine dementia severity and establish follow-up plans for patients with high dementia risk.

Prognostic Value of Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index on Functional Status and Mortality in Patients with Critical Acute Ischemic Stroke.

Prognostic Value of Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index on Functional Status and Mortality in Patients with Critical Acute Ischemic Stroke.

Investigation of the effect of oral ivermectin on systemic inflammatory response and quality of life in scabies patients.

Scabies is a prevalent ectoparasitic infectious disease, caused by the mite Sarcoptes scabiei. As a consequence of the infestation, localised cutaneous inflammation, pruritus and polymorphic skin lesions develop. The primary symptoms of scabies manifest as hypersensitivity-like reactions and immune responses, the precise mechanisms of which remain poorly defined. The objective of this study was to evaluate the effects of oral ivermectin treatment in patients with scabies on the systemic immune response and the patient's quality of life (QoL). Patients admitted to the dermatology outpatient clinic and diagnosed with scabies were administered oral ivermectin treatment following diagnosis at week 0 and 2. Laboratory tests were conducted to measure complete blood count (CBC), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) levels before treatment and at week 4. The systemic immune-inflammation index (SII) was calculated using the platelet, neutrophil and lymphocyte counts. Additionally, data pertaining to the Dermatological Life Quality Index (DLQI) were recorded. In 119 patients (51 males) diagnosed with scabies, increases in ESR, CRP, and SII values and decreases in inflammatory cell counts and DLQI scores were observed one month after treatment with oral ivermectin. The results of the study showed that the use of oral ivermectin, a scabicidal agent, triggered the inflammatory response and improved the QoL of the patients.

Prognostic value of systemic immune-inflammation index in patients with locally advanced renal cell carcinoma

Purpose: To assess the prognostic value of systemic immune-inflammation index (SII) for disease progression in locally advanced renal cell carcinoma (RCC). Materials and methods: A total of 97 patients with locally advanced RCC who underwent curative surgery between January 1, 2010 and December 31, 2018 were included in this retrospective study. The study was approved by the Institutional Review Board of Linkou Chang Gung Memorial Hospital with an IRB number of 202000092B0. Outcomes analyzed were the disease-free survival (DFS) of patients with locally advanced RCC and the prognostic value of SII. Results: Among 97 locally advanced RCC patients, disease progression was noted in 48.5% of the patients. The median DFS was 55.6 months (95% confidence interval: 45.1–66.2 months). An elevated SII greater or equal to 514 was associated with a poorer DFS. After multivariate analyses of possible predictive factors, SII remained statistically associated with a poorer DFS. Conclusion: An elevated SII was associated with a poorer DFS in patients with locally advanced RCC. SII could be used as a prognostic factor to guide the use of adjuvant therapy after curative surgery for patients with locally advanced RCC.

Predictive value of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and systemic inflammatory index for detection of recurrence of pleomorphic adenoma of the major salivary glands: a multicenter study

BackgroundThe aim of this study was to investigate the correlation between inflammatory biomarkers such as the systemic immune-inflammation index (SII), the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) and the recurrence of pleomorphic adenomas (PAs). MethodsRetrospective multicenter study. 608 patients diagnosed with PA and treated by tumor enucleation were included in the analyses. The patients. were extracted from a twenty-year database of two referral centers (January 2000 to January 2020). Data about age, sex, voluntary habits, tumor characteristics, tumor treatment and values of NLR, PLR and SII were collected. A receiver operating characteristic (ROC) curve was used to calculate the optimal cut-off values for SII, PLR and NLR. A linear regression model (LRM) and a non-linear logistic regression model (NLRM) were implemented for NLR, PLR and SII. ResultsAll three inflammatory parameters were statistically significant correlated to the recurrence of the tumor. The best performance was achieved by NLR (cut-off 2.960) with AUC = 0.91, accuracy of 96.1%, sensitivity of 78.4% and specificity of 97.2%, PPV = 64.4% and NPV = 98.6%. LRM and NLRM including all hematological parameters did not improve performance in terms of recurrence detection. ConclusionThe use of three inflammatory biomarkers could be a useful tool to predict recurrence of tumor in case of PA ≤ 3 cm. NLR in particular could be sensitive with a cut-off of 2.960. The use of NLR, PLR and SII could be a good reference point for surgical decision making and follow-up in clinical practice.

Enhancing Patient Outcomes: A Novel Nomogram PredictionModel Based on Systemic Immune-Inflammation Index for Esophageal Stricture After Endoscopic SubmucosalDissection.

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. 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). 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. 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.

Novel predictive factor for erectile dysfunction: systemic immune inflammation index.

Systemic immune inflammation index (SII) is a global parameter that comprehensively reflects body inflammation, this study aims to assess the correlation between this index and erectile dysfunction (ED). This cross-sectional study incorporated 164 ED patients and 95 healthy adult males. The collection of general demographic information and pertinent hematological data from the participants enabled the computation of corresponding SII values. Statistical analysis, encompassing descriptive statistics as well as normality and logistic regression analyses, was carried out employing SPSS version 26. The findings of the univariate analysis revealed a noteworthy distinction in triglyceride levels (TG) (P = 0.017) and SII (P < 0.001) between ED patients and the healthy population. Subsequent multivariate logistic regression analysis unveiled a significant association between SII (odd ratio (OR):1.012, 95% confidence interval (CI):1.008-1.015; P < 0.001) and the occurrence of ED. Since the impact value is not clearly visible, SII/100 is utilized to magnify the effect value one hundredfold. The regression analysis results indicate that the OR value of SII/100 is 3.171, and the 95% CI is 2.339-4.298 (P < 0.001). The Receiver Operating Characteristic (ROC) curve analysis ascertained an AUC of 0.863 (P < 0.001) for SII, with a determined cut-off value of 391.53(109/L), exhibiting a sensitivity of 81.7% and specificity of 83.2%. Moreover, when comparing patients with varying degrees of ED severity, both univariate (P < 0.001) and subsequent multivariate logistic regression analyses (OR: 1.007, 95% CI: 1.004-1.010; P < 0.001) underscored the significance of the SII value. At this point, SII/100 OR: 1.971, 95% CI: 1.508-2.576 (P < 0.001). The ROC curve analysis in this context demonstrated an AUC of 0.799 (P < 0.001), with a determined cut-off value of 746.63(109/L), featuring a sensitivity of 60.6% and specificity of 91.6%. These discerned outcomes affirm a correlation between SII and ED, establishing its potential not only in predicting the onset of ED but also in differentiating among various levels of ED severity.

Unraveling the Predictive Value of the Novel Global Immune-Nutrition-Inflammation Index (GINI) on Survival Outcomes in Patients with Grade 4 Adult-Type Diffuse Gliomas.

This investigation evaluated the predictive and prognostic efficacy of the newly developed global immune-nutrition-inflammation index (GINI) in patients with grade 4 adult-type diffuse gliomas, comparing it with other established indices such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV). A retrospective cohort included 198 patients diagnosed with isocitrate dehydrogenase (IDH)-mutant gr4 (grade 4) astrocytoma and IDH-wt (wilde-type) glioblastoma (GBM) gr4 treated with surgical resection, radiotherapy, and temozolomide. Patients were stratified into two groups based on their GINI values: low GINI (<5815) and high GINI (≥5815). The primary endpoint was overall survival (OS). High GINI was significantly associated with older age, poor performance status, multifocal tumors, and higher SII, SIRI, and PIV values (p < 0.005). The GINI demonstrated strong correlations with SII (r = 0.694), SIRI (r = 0.516), and PIV (r = 0.657) (p < 0.001). Patients with high GINI exhibited poorer OS (5.0 vs. 17.0 months) and PFS (5.0 vs. 13.0 months) in comparison to those with low GINI. Kaplan-Meier survival analysis revealed significantly prolonged OS and PFS among patients with low GINI (p < 0.001). Multivariate analysis identified high GINI as an independent negative risk factor for both PFS and OS. GINI is a robust predictor of clinical outcomes in IDH-mutant gr4 astrocytoma and IDH-wt GBM gr4, highlighting the crucial impact of nutrition and cancer cachexia. It shows superior prognostic value relative to the SII, SIRI, and PIV.