Systemic Immune-inflammation Index Research Articles

Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography

BackgroundThis study aims to evaluate the integration of optical coherence tomography (OCT) and peripheral blood immune indicators for predicting oral cancer prognosis by artificial intelligence.MethodsIn this study, we examined patients undergoing radical oral cancer resection and explored inherent relationships among clinical data, OCT images, and peripheral immune indicators for oral cancer prognosis. We firstly built a peripheral blood immune indicator-guided deep learning feature representation method for OCT images, and further integrated a multi-view prognostic radiomics model incorporating feature selection and logistic modeling. Thus, we can assess the prognostic impact of each indicator on oral cancer by quantifying OCT features.ResultsWe collected 289 oral mucosal samples from 68 patients, yielding 1,445 OCT images. Using our deep radiomics-based prognosis model, it achieved excellent discrimination for oral cancer prognosis with the area under the receiver operating characteristic curve (AUC) of 0.886, identifying systemic immune-inflammation index (SII) as the most informative feature for prognosis prediction. Additionally, the deep learning model also performed excellent results with 85.26% accuracy and 0.86 AUC in classifying the SII risk.ConclusionsOur study effectively merged OCT imaging with peripheral blood immune indicators to create a deep learning-based model for inflammatory risk prediction in oral cancer. Additionally, we constructed a comprehensive multi-view radiomics model that utilizes deep learning features for accurate prognosis prediction. The study highlighted the significance of the SII as a crucial indicator for evaluating patient outcomes, corroborating our clinical statistical analyses. This integration underscores the potential of combining imaging and blood indicators in clinical decision-making.Trial registrationThe clinical trial associated with this study was prospectively registered in the Chinese Clinical Trial Registry with the trial registration number (TRN) ChiCTR2200064861. The registration was completed on 2021.

Utility of the Neutrophil to Lymphocyte Ratio for Predicting Mortality in Pleural Empyema - A Retrospective Study

Purpose: The prognostic qualities of the hematological biomarker neutrophil to lymphocyte ratio (NLR) have not yet been evaluated in pleural empyema. Therefore, we aimed to find if NLR can predict adverse outcome in such clinical setting. Methods: Retrospectively we studied 84 patients with pleural empyema who were operated in emergency setting in a clinic of thoracic surgery of an academic hospital over a 34-month period (01.2021- 10.2023). To assess the prognostic performance of NLR we used the area under the receiver operating characteristics (AUROC) curves. Results: Of a total of 84 patients, nine (10.7%) died. Using ROC Curve analysis we found that NLR has an excellent prognostic ability and outperformed systemic immune inflammation index (SII), platelet to lymphocyte ratio (PLR), quick- sequential organ failure (qSOFA) score and systemic inflammation response syndrome (SIRS) (AUROC = 0.904 vs 0.782 vs 0.749 vs 0.747 vs 0.676, respectively) in outcome prediction. An optimal threshold NLR > 9.88 x 109 /L for prognostication of death was identified with a sensitivity of 85.7% and a specificity of 83.6%. Conclusion: In pleural empyema the neutrophil to lymphocyte ratio demonstrates excellent ability to predict the unfavorable outcome.

Effects of antiretroviral therapy on glycemic and inflammatory indices in people living with HIV (PLWH).

This study explores the relationship between different ART therapy based on NRTIs, and inflammatory markers, along with fasting blood glucose levels in treatment-naïve people living with HIV (PLWH). We retrospectively analyzed the variations in fasting blood glucose and inflammatory markers and their relationship with different ART regimens in 497 treatment-naïve PLWH at the ART clinic of Zhongnan Hospital of Wuhan University from June 2018 to March 2022. From baseline to 24 months, fasting blood glucose, systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV) and lymphocyte-to-monocyte ratio (LMR) in PLWH receiving ART increased, while neutrophillymphocyte ratio (NLR) decreased (p < .05). In the NNRTIs group, fasting blood glucose, SII, PIV and LMR were higher than before (p < .05). In the INSTIs group, fasting blood glucose and LMR increased (p < .05), while NLR was lower (p < .05). Compared to the INSTIs, fasting blood glucose in the NNRTIs group was higher at 12 and 24 months (p < .05). At 24 months, both NLR and SII were higher in the NNRTIs group than in the INSTIs group (p < .05). Despite the virus suppression, fasting blood glucose and certain inflammatory markers in PLWH can gradually increase. Compared to NNRTIs, the INSTIs regimen was associated with favorable alterations in the levels of glucose and inflammatory markers.

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.

Association between systemic immune-inflammation index and cataract among outpatient US adults.

While several studies have noted a higher SII correlates with multiple diseases, research on the association between SII and cataract remains limited. Our cross-sectional study seeks to examine the association between SII and cataract among outpatient US adults. This compensatory cross-sectional study utilized NHANES data from 1999 to 2008 cycles, conducting sample-weighted multivariate logistic regression and stratified analysis of subgroups. Among 11,205 adults included in this study (5,571 [46.2%] male; 5,634 [53.8%] female), 2,131 (15.2%) had cataract and 9,074 (84.8%) did not have cataract. A fully adjusted model showed that SII higher than 500 × 109/L was positively correlated with an increased risk of cataracts among women (OR, 1.27; 95% CI, 1.02-1.59) (p = 0.036). However, no difference was found in the men subgroup, and there was no significant interaction between SII and sex. Our results indicated that a SII higher than 500 × 109/L was positively correlated with an increased risk of cataracts in women. This study is the first to specifically investigate the impact of a high SII on cataract risk in outpatient adults in the United States. By effectively addressing inflammation, it is possible to mitigate cataract progression and significantly enhance patient outcomes.

Inflammation-related markers and prognosis of alpha-fetoprotein producing gastric cancer.

Inflammation-related markers including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and prognostic nutritional index (PNI) could reflect tumor immune microenvironment and predict prognosis of cancers. However, it had not been explored in alpha-fetoprotein (AFP) producing gastric cancer (GC). To determine the predictive value of inflammation-related peripheral blood markers including as NLR, PLR, MLR, SII, SIRI and PNI in the prognosis of AFP- producing GC (AFPGC). Besides, this study would also compare the differences in tumor immune microenvironment, clinical characteristics and prognosis between AFPGC and AFP- GC patients to improve the understanding of this disease. 573 patients enrolled were retrospectively studied. They were divided into AFP+ group (AFP ≥ 20 ng/mL) and AFP- group (AFP < 20 ng/mL), comparing the levels of NLR/PLR/MLR/SII/SIRI/PNI and prognosis. In AFP+ group, the impact of NLR/PLR/MLR/SII/SIRI/PNI and their dynamic changes on prognosis were further explored. Compared with AFP- patients, AFP+ patients had higher NLR/PLR/MLR/SII/SIRI and lower PNI levels and poorer overall survival (OS). In the AFP+ group, mortality was significantly lower in the lower NLR/PLR/MLR/SII/SIRI group and higher PNI group. Moreover, the dynamic increase (NLR/PLR/MLR/SII/SIRI) or decrease (PNI) was associated with the rise of mortality within 1 year of follow-up. Compared with AFP- patients, the level of inflammation-related peripheral blood markers significantly increased in AFP+ patients, which was correlated with OS of AFP+ patients. Also, the gradual increase of SII and SIRI was associated with the risk of death within one year in AFP+ patients. AFPGC should be considered as a separate type and distinguished from AFP- GC because of the difference in tumor immune microenvironment. It requires basic experiments and large clinical samples in the future.

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.

Evaluation of Glucose 6-Phosphate Dehydrogenase, Pyruvate Kinase, and New Generation Inflammation Biomarkers in Prolonged Neonatal Jaundice.

Background and Objectives: To evaluate the clinical findings of glucose 6-phosphate dehydrogenase (G6PD) and pyruvate kinase (PK) deficiency in prolonged jaundice and to determine whether the systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) can be used in the diagnosis of neonatal prolonged jaundice. Materials and Methods: Among full-term neonates with hyperbilirubinemia who were admitted to Medicine Hospital between January 2019 and January 2024 with the complaint of jaundice, 167 infants with a serum bilirubin level above 10 mg/dL, whose jaundice persisted after the 10th day, were included in this study. Results: G6PD activity was negatively correlated with NLR, SII, age, and hematocrit (Hct). There was a weak negative correlation between G6PD and NLR and a moderate negative correlation between G6PD activity and SII when adjusted for age and Hct. PK activity showed no significant correlation with G6PD, NLR, PLR, SII, age, and Hct. A linear relationship was observed between G6PD activity and SII and NLR. Conclusions: NLR and SII can be easily calculated in the evaluation of prolonged jaundice in G6PD deficiency has a considerable advantage. NLR and SII levels may contribute by preventing further tests for prolonged jaundice and regulating its treatment. It may be useful to form an opinion in emergencies and in early diagnostic period.

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.

Association of benign and malignant neoplastic lesions of the eyelid with systemic inflammatory markers

ABSTRACT Clinical relevance The role and prognostic significance of systemic inflammatory markers in various malignancies have been the subject of investigation. The role of these inflammatory markers in eyelid lesions remains to be elucidated. Background Benign and malignant lesions of the eyelid are common presentations in eye clinics. Systemic inflammatory markers derived from a complete blood count may provide insight into the benign-malignant differentiation of the lesion. Methods This study included 134 patients who underwent surgery for eyelid lesions between 2021–2023. The lesions were evaluated by oculoplastic surgeons and operated on with a preliminary diagnosis of benign or malignant. According to the histopathological diagnosis, benign lesions were included in Group 1 and malignant lesions in Group 2. The neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII) (NxP/L) based on neutrophil, lymphocyte, and platelet counts were calculated from the preoperative complete blood count of all patients. Results Eighty-eight patients were included in Group 1 and 46 patients in Group 2. There were 41/47 (Female/Male) in Group 1 and 19/27 (F/M) males in Group 2 (p = 0.345). The mean age was 62.91 ± 9.04 years in Group 1 and 65.41 ± 8.76 years in Group 2 (p = 0.127). The preliminary diagnosis and histopathological diagnosis were incompatible in 5 cases in both groups. In Group 1: NLR = 1.82 ± 0.72, PLR = 124.50 ± 45.19 and SII = 454.51 ± 220.20, in Group 2: NLR = 2.48 ± 0.89, PLR = 128.12 ± 49.58 and SII = 590.22 ± 271.09. NLR and SII differences between groups were statistically significant, while PLR was similar (p < 0.001, p = .002, p = .671). ROC curve analysis showed that the optimal cut-off values for NLR, PLR, and SII were 1.99, 119.16, and 475.21, respectively. Conclusion High levels of NLR and SII in eyelid tumours can be used as an adjunct to examination findings in the preliminary diagnosis of the lesion as benign or malignant and may influence surgical planning.

Predictive and Prognostic Role of Systemic Immune-Inflammation Index (SII) in Metastatic Colorectal Cancer Patients Treated with Trifluridine/Tipiracil.

In advanced-stage colorectal cancer (CRC), a strategy based on a sequence of systemic therapies brings survival benefits in most patients. Trifluridine and tipiracil hydrochloride (TT) is a chemotherapy drug effective in patients in the third- or later line setting. No highly specific biomarkers have been established for TT therapy so far. However, a systemic immune-inflammation index (SII), which is based on platelet, neutrophil and lymphocyte counts is applied to predict prognosis. In this retrospective, multicenter study, clinical data on 179 metastatic CRC patients treated with TT were collected. To evaluate factors predicting TT therapy response and overall survival, univariate logistic regression analysis was conducted. Subsequently, factors with p < 0.05 in univariate analysis were included in multivariate analysis. In the multivariate analysis of progression-free survival (PFS), three favorable parameters were significant: good to moderate histological differentiation (p = 0.0038), carcinoembryonic antigen (CEA) < 5 ng/L (p = 0.0316) and SII ≤ 550 (p = 0.007). Favorable prognostic factors revealed in the multivariate analysis of overall survival (OS) were: <3 prior lines of treatment (p = 0.02), good to moderate histological differentiation (p = 0.0003), CEA < 5 ng/L (p = 0.0227) and SII ≤ 550 (p = 0.0001). Our study indicated that pre-treatment SII may be clinically useful for selecting likely responder patients and assessing the prognosis for mCRC patients treated with TT.

Determination of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and systemic immune-inflammation index in dogs with leptospirosis

Leptospirosis is a globally distributed zoonosis with multisystemic involvement in canine species, capable of causing a pulmonary hemorrhagic syndrome (LPHS) in the most severe cases. In humans, the neutrophil to lymphocyte ratio (NLR), platelets to lymphocytes (PLR) and systemic immune-inflammation index (SII) have been described as predictors of morbidity and mortality in various pathologies, but no such studies have been developed for canine leptospirosis. Hence, we aimed to assess the usefulness of NLR, PLR and SII in dogs affected with leptospirosis, focusing on those that died or survived after hospitalization, whether or not they developed LPHS. The leptospirosis group was composed by 36 dogs while the control group consisted of 32 healthy dogs. The NLR, associated with inflammation, demonstrated a threefold or greater increase in all leptospirosis groups compared to the control group (median 2.44 ± 1.66) (developing or not LPHS). Dogs that died (median 67.78 ± 158.67), developed LHPS (median 85.17 ± 143.77), or both developed LHPS and died (median 67.78 ± 155,14) had a lower PLR in comparison to the control group (median 101,82 ± 53,75) and the rest of groups, but no statistically significant differences were observed (p > 0.05). The SII was higher in leptospirosis-affected dogs that survived (median 1356,92 ± 2726,29) and statistically significant differences were observed in those who did not develop LPHS (median 1770,41 ± 2630,77; p < 0.05) compared to the control group (median 555,21 ± 313,26). Our data shows that NLR may be used as inflammation indicator, while more studies are needed for PLR and SII in canine leptospirosis.

Hematologic Indices and Chronic Subdural Hematoma: A Single-Center Cohort Study.

Objective Chronic subdural hematoma (cSDH) is common, predominantly affects the elderly, often recurs after treatment, and can have serious complications, including death. Inflammation plays an important role in cSDH and it has been previously shown that some laboratory indices are useful as prognostic markers. The aim was to research the role of hematologic and inflammatory markers in cSDH. Materials and Methods A single-center archival database review to retrieve data on cSDH cases operated on between 2018 and 2020, including: (1) sociodemography (age, gender), (2) clinics (Glasgow Coma Score [GCS], anticoagulants, chronic conditions), (3) laboratory (leukocyte, neutrophil, platelet, C-reactive protein, hemoglobin, red cell distribution width [RDW], neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio [PLR], systemic immune-inflammatory index [SII]), (4) cSDH (size, location, midline shift), and (5) treatment (craniotomy/craniostomy, drainage). Primary outcome was Glasgow Outcome Score (GOS) at discharge and at 1 year, and secondary outcomes were 1 year mortality, resurgery, and recurrence. Hematological and inflammatory indices were compared across two cSDH thickness groups. Results Seventy-two patients were included, 25 women and 47 men, median age 77 years. Seventeen (23.6%) patients had chronic anticoagulant treatment. The majority had a chronic comorbidity: 19 (26.4%) diabetes, 48 (66.7%) hypertension, and 56 (77.8%) other chronic diseases. Median preoperative GCS was 15. Median cSDH thickness was 22.9 mm, sidedness was equally distributed, and midline shift occurred in 60 (83.3 %) patients, with median midline shift of 8.4 mm. The majority of patients underwent a single craniostomy ( n = 44, 61.1%), and in all patients a subdural drainage was placed. Median GOS at discharge and at 1 year postoperatively was 5. Mortality was 11.1%, and 16.7% of patients were lost to follow-up. Within the 1-year follow-up, 27.8% of patients had disease recurrence, 25% underwent a repeat surgery. In the "above" versus "below" 15 mm cSDH thickness group there were significant differences in P count (211.5 vs. 279.5 × 10 9 /L, p = 0.009), RDW (13.3 vs. 12.6, p = 0.031), SII (1782 vs. 2653, p = 0.025), and PLR (26.2 vs. 36.7, p = 0.042). Conclusion Hematological indices bear a diagnostic and prognostic potential in cSDH management.

Inflammatory indexes and anemia in chronic kidney disease: correlation and survival analysis of the National Health and Nutrition Examination Survey 2005–2018

Background There is currently no research on the correlation between novel inflammatory indexes systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and the risk of anemia in chronic kidney disease (CKD) population, as well as survival analysis in CKD with anemia. Methods This investigation encompassed 4444 adult subjects out of the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. The study utilized multi-variable logistic regression to assess the relationship between SII, NLR, PLR, and anemia risk occurrence in CKD population. Survival differences in CKD patients with anemia, based on varying levels of SII, NLR, and PLR were evaluated employing Kaplan–Meier and Cox proportional hazards models. Results The adjusted logistic regression model demonstrates that SII, NLR, and PLR are associated with the risk of anemia occurrence in CKD population. Kaplan–Meier’s analysis reveals significant differences in survival rates among CKD patients with anemia stratified by NLR levels. The adjusted Cox proportional hazards model shows that the higher NLR group has a 30% elevated risk of all-cause mortality contrasted with lower group (hazard ratio, HR: 1.30, confidence interval (CI) [1.01, 1.66], p value <.04). Restricted cubic spline (RCS) demonstrates no nonlinear relationship between NLR and all-cause mortality. Lastly, sub-cohort analysis indicates that in populations with diabetes, hypertension, and hyperuricemia, NLR levels have a greater impact on all-cause mortality. Conclusions Controlling inflammation may reduce the occurrence of anemia in CKD populations, with NLR serving to be a potential prognostic indicator for survival results within CKD patients suffering from co-morbid anemia.

Association of body composition and systemic inflammation for patients with locally advanced cervical cancer following concurrent chemoradiotherapy

Systemic inflammation and body composition are associated with survival outcomes of cancer patients. This study aimed to examine the combined prognostic value of systemic inflammatory markers and body composition parameters in patients with locally advanced cervical cancer (LACC). Patients who underwent concurrent chemoradiotherapy (CCRT) for LACC at a tertiary referral teaching hospital between January 2010 and January 2018 were enrolled. A predictive model was established based on systemic immune-inflammation index (SII) and computer tomography-derived visceral fat-to-muscle ratio (vFMR). Overall survival (OS) and progression-free survival (PFS) were assessed using the Kaplan-Meier method and Cox regression models. The model performance was assessed using discrimination, calibration, and clinical usefulness. In total, 212 patients were enrolled. The SII and vFMR were closely related, and both independently predicted survival (P < 0.05). A predictive model was established based on the above biomarkers and included three subgroups: high-risk [both high SII (>828) and high vFMR (>1.1)], middle-risk (either high SII or high vFMR), and low-risk (neither high SII nor high vFMR). The 3-year OS (PFS) rates for low-, middle-, and high-risk patients were 90.5% (86.0%), 73.9% (58.4%), and 46.8% (36.1%), respectively (P < 0.05). This model demonstrated satisfactory predictive accuracy (area under the curve values for predicting 3-year OS and PFS were 0.704 and 0.718, respectively), good fit (Hosmer-Lemeshow tests: P > 0.05), and clinical usefulness. Systemic inflammatory markers combined with body composition parameters could independently predict the prognosis of patients with LACC, highlighting the utilization of commonly collected indicators in decision-making processes. The SII and vFMR, as well as their composite indices, were promising prognostic factors in patients with LACC who received definitive CCRT. Future studies are needed to explore novel therapies to improve the outcomes in high-risk patients.

Prognostic model for predicting recurrence in hepatocellular carcinoma patients with high systemic immune-inflammation index based on machine learning in a multicenter study.

This study aims to use machine learning to conduct in-depth analysis of key factors affecting the recurrence of HCC patients with high preoperative systemic immune-inflammation index (SII) levels after receiving ablation treatment, and based on this, construct a nomogram model for predicting recurrence-free survival (RFS) of patients. This study included clinical data of 505 HCC patients who underwent ablation therapy at Beijing You'an Hospital from January 2014 to January 2020, and accepted 65 HCC patients with high SII levels from Beijing Ditan Hospital as an external validation cohort. 505 patients from Beijing You'an Hospital were divided into low SII and high SII groups based on the optimal cutoff value of SII scores. The high SII group was further randomly divided into training and validation cohorts in a 7:3 ratio. eXtreme Gradient Boosting (XGBoost), random survival forest (RSF), and multivariate Cox regression analysis, were used to explore the factors affecting the post-ablation RFS of HCC patients. Based on the identified key factors, a nomogram model were developed to predict RFS in HCC patients, and their performance were evaluated using the concordance index (C index), receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA). The optimal cutoff value for nomogram scores was used to divide patients into low- and high-risk groups, and the effectiveness of the model in risk stratification was evaluated using Kaplan-Meier (KM) survival curves. This study confirmed that age, BCLC stage, tumor number, and GGT level were independent risk factors affecting RFS in HCC patients. Based on the selected risk factors, an RFS nomogram was successfully constructed. The C-index, ROC curve, calibration curve, and DCA curve each demonstrated the discrimination, accuracy, and decision-making utility of the nomogram, indicating that it has good predictive performance. KM curve revealed the nomogram could significantly differentiate patient populations with different recurrence risk. We developed a reliable nomogram that can accurately predict the 1-, 3-, and 5-year RFS for HCC patients with high SII levels following ablation therapy.

Predictive Value of Neutrophil-Lymphocyte Ratio and Other Inflammation Indices in Febrile Seizures in Children.

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.

Can Inflammatory Indexes Predict the Severity of Mucosal Inflammation in Ulcerative Colitis?

Aim: Inflammatory indexes can relate to disease activity in ulcerative colitis (UC). This study aimed to evaluate whether the inflammatory indexes of neutrophil-lymphocyte ratio (NLR), C-reactive protein (CRP)-albumin ratio (CAR), CRP-lymphocyte ratio (CLR), and systemic immune-inflammation index (SIII) might predict the severity of mucosal inflammation in UC. Material and Methods: This retrospective case-control study included 184 UC patients and 101 healthy controls. The Mayo clinical score and Mayo endoscopic score were used for the clinical and endoscopic features of UC. Truelove and Richards’s method for the severity of mucosal inflammation determined the histological activity index (HAI). Results: The inflammatory index values, were higher in UC patients compared to the control group (p=0.007 for NLR, and p&amp;lt;0.001 for the others). The patients having endoscopic, clinic, and histologically active disease had higher inflammatory index values than those in remission (p&amp;lt;0.001 for all). UC patients with extensive disease had higher inflammatory index values than the patients who had limited disease (p&amp;lt;0.001 for all). The HAI values were positively correlated to all inflammatory indexes, and the correlation was the strongest between the HAI and CLR (rho=0.737, p&amp;lt;0.001). Regarding HAI, the diagnostic accuracy of all inflammatory indexes for detecting the clinically active disease was statistically significant, and there was no significant difference between them in terms of diagnostic accuracy. Conclusion: The inflammatory indexes of NLR, CAR, CLR, and SII might predict the severity of histological inflammation in UC.

Systemic Immune-inflammation Index in Evaluation of Inflammation in Rheumatoid Arthritis Patients.

To evaluate the systemic immune-inflammation (SII) index in patients with rheumatoid arthritis (RA) stratified by systemic inflammatory status. 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. 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%. The serum SII index can be a potentially useful marker for evaluating the inflammatory process and clinical progression of RA.

The Relationship between Vitamin D, Inflammatory Markers, and Insulin Resistance in Children.

In this study, we investigated 25-hydroxyvitamin D (25(OH)D, vitamin D), inflammatory hematologic ratios such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), monocyte/HDL-C ratio (MHR) and plasma atherogenic index (PAI) and possible relationships with insulin resistance (IR) in children. A total of 210 individuals, including 96 children with IR and 114 children without IR, aged 6-18 years, who were admitted to the Pediatric Endocrinology Outpatient Clinic at Medicine Hospital, Istanbul Atlas University were included in our study. Compared to patients without IR, NLR, PLR, SII, and MHR were significantly higher in patients with IR. Fasting insulin, PAI, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA-β were significantly higher and quantitative insulin sensitivity check index (QUICKI) was considerably lower in patients with IR compared to those without IR. NLR, SII, and MHR were lower in normal vitamin D groups than the others (p < 0.001). PLR was lower in the group with normal vitamin D levels than the groups with insufficient or deficient levels of vitamin D (D < 21). We found that vitamin D deficiency in childhood is related to increased levels of circulating inflammatory markers (NLR, PLR, MHR, PAI), IR, and decreased insulin sensitivity. According to our results, supplementation of vitamin D may be beneficial in averting IR and enhanced systemic inflammation.