Indicator Of Systemic Inflammation Research Articles

Association between systemic inflammatory response index and glaucoma incidence from 2005 to 2008

ObjectiveThis study aimed to investigate the association between the Systemic Inflammatory Response Index (SIRI) and glaucoma using data from the 2005–2008 National Health and Nutrition Examination Survey (NHANES).MethodsWe performed a cross-sectional analysis using data from NHANES (2005–2008). Among participants who underwent non-mydriatic retinal imaging and Frequency Doubling Technology (FDT) visual field testing, 4,514 were included after excluding those with missing key variable data. SIRI and other inflammatory indices, including the systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR), were calculated from blood samples. Logistic regression models were employed to assess the relationship between these indices and glaucoma, adjusting for demographic and health-related variables.ResultsA significant positive association was found between elevated log2SIRI levels and the prevalence of glaucoma (Model 3: OR 1.24, 95% CI 1.07–1.44, p < 0.005). We performed an in-depth analysis of the Log2SIRI quartiles and found a significant association between Log2SIRI Q4 and the occurrence of glaucoma (Model 3: OR1.62, 95%CI 1.12–2.34, p = 0.011). This correlation was further validated using the area under the receiver operator characteristic curve (AUC) in Model 3(AUC = 0.674).ConclusionElevated SIRI levels are significantly associated with the prevalence of glaucoma, highlighting the potential role of systemic inflammation in glaucoma pathogenesis. SIRI may serve as a useful biomarker for identifying individuals at risk of glaucoma, facilitating early detection and targeted intervention strategies. Further research is needed to validate these findings and explore their clinical applications.

The association of lipid accumulation product with inflammatory parameters and mortality: evidence from a large population-based study

BackgroundObesity is closely associated with lipid metabolism, and the accumulation of lipids leads to low-level inflammation in the body, which can trigger cardiovascular disease. This study aimed to explore the association between a novel marker of lipid accumulation, the abdominal volume index (AVI), inflammatory parameters, and mortality.MethodsThis study enrolled 2,109 older adult senior citizens (aged over 60 years) with hypertension from the National Health and Nutrition Examination Survey. The primary endpoints included all-cause mortality and cardiovascular mortality, which were assessed by linking the data to the National Death Index records. Cox regression model and subgroup analysis were constructed to investigate the associations between AVI and both all-cause and cardiovascular mortality. Restricted cubic splines were employed to further explore the relationships among AVI, inflammatory parameters, and mortality. By considering inflammatory factors as mediators, we investigate the mediating effects of AVI on mortality.ResultsAfter a median follow-up of 69 months, there were 1,260 deaths, with 337 attributed to cardiovascular causes within the older adult population studied. In the multivariable-adjusted model, AVI was positively associated with both all-cause and cardiovascular mortality [Hazard Ratio (HR) = 1.09, 95% CI = 1.06–1.11 for all-cause mortality; HR = 1.07, 95% CI = 1.03–1.12 for cardiovascular mortality]. Kaplan-Meier survival plots indicated an overall median survival time of 144 months. Mediation analysis revealed that Systemic Inflammatory Response Index (SIRI), Monocyte-to-HDL ratio (MHR), and Neutrophil-to-Lymphocyte ratio (NLR) mediated 27.15%, 35.15%, and 16.55%, respectively, of the association between AVI and all-cause mortality.ConclusionAVI is positively associated with all-cause mortality in older adults with hypertension, and this association appears to be partially mediated by inflammatory parameters.

The association between eight complete blood count-derived inflammatory markers and muscle health

BackgroundMost studies have evaluated sarcopenia and muscle health solely based on muscle mass. This study comprehensively examined the associations between eight inflammatory indicators and muscle mass and strength, with the aim of identifying an indicator capable of evaluating muscle health across multiple dimensions.MethodsThis study included 10,440 participants from the National Health and Nutrition Examination Survey (NHANES, 2011–2018) and 5,384 participants from NHANES (2011–2014). Multivariate logistic regression, smooth curve fitting, restricted cubic spline (RCS) analysis, subgroup analysis, and Spearman's correlation were used to comprehensively assess the associations between the eight inflammatory indicators and muscle mass and strength. Receiver operating characteristic (ROC) curves were used to compare the predictive abilities of the different indices for low muscle mass and muscle strength. Additionally, NHANES data were cross-validated with data from 554 patients at our hospital to evaluate the ability of the systemic immune inflammatory index (SII) to distinguish between low muscle mass and strength.ResultsAfter controlling for all potential confounding factors, multiple logistic regression analysis revealed that apart from the platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and derived NLR (dNLR), the neutrophil-to-monocyte-plus-lymphocyte ratio (NMLR), neutrophil-to-lymphocyte ratio (NLR), SII, systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV) were significantly negatively correlated with muscle mass and strength. However, NMLR and NLR were significantly associated with changes in muscle mass only in Q4 (P < 0.05). In the stratified analysis by body mass index (BMI), only the SII, NLR, and NMLR were unaffected by BMI. In the cross-validation, the predictive performance of the SII for low muscle mass [area under the curve (AUC) = 0.699, 0.677, and 0.685] and low muscle strength (AUC = 0.857, 0.849, and 0.840) demonstrated a good reference value. RCS and smooth curve fitting analyses indicated that most inflammatory markers were linearly correlated with muscle health (P < 0.05).ConclusionCompared with other inflammatory markers (e.g., PIV and dNLR), the SII demonstrated a more robust predictive ability, was less influence by covariates, and exhibited high generalization performance in internal and external validation. SII may be crucial in identifying “hidden sarcopenia” and the early stages of muscle functional decline.

Low Serum Methylglyoxal Levels Correlate with Psoriasis Severity and Inflammatory Response Indices

Psoriasis is a multifactorial inflammatory disease. Methylglyoxal (MG) is a highly reactive dicarbonyl compound responsible for dicarbonyl stress in some inflammatory conditions, and it may play a role in the etiopathogenesis of psoriasis. Methods: A total of 50 patients with psoriasis and 35 healthy individuals participated in this study. The following indices were assessed in patients: Body Surface Area (BSA), Psoriasis Area and Severity Index (PASI), and Dermatology Life Quality Index (DLQI). MG concentration was evaluated in blood samples. The following inflammatory response indices were calculated: Systemic Inflammation Response Index (SIRI), Systemic Immuno-inflammation Index (SII), and Aggregate Index of Systemic Inflammation (AISI). Results: An analysis of the obtained data showed a statistically significant decrease in the mean serum MG concentration in patients with psoriasis when compared to the healthy individuals (1.19 ± 0.4 μg/mL vs. 1.75 ± 0.6 μg/mL; p = 0.000002). In the patients, MG concentration correlated negatively with psoriasis disease severity indicators (BSA and PASI), C-reactive protein (CRP) concentration, and inflammatory response indicators (SII and AISI). Conclusions: The decreased concentration of MG may be attributed to an increased accumulation of its derivatives (advanced glycation end-products) in the inflamed skin and/or scavenging by polyamines.

Association of First-Trimester Combined Inflammatory Markers (NLR, SII, SIRI, and AISI) With Poor Obstetric Outcomes in Pregnancies With Ulcerative Colitis.

To compare the first-trimester combined inflammatory markers between pregnant women diagnosed with ulcerative colitis (UC) and healthy pregnant women. Furthermore, to investigate the predictive value of these markers for adverse obstetric outcomes in pregnant women affected by UC. In this retrospective study, data were collected from pregnant women with UC who gave birth at our hospital between January 2021 and May 2024 and from a control group of healthy pregnant women. A comparison was made between the two groups in terms of their demographic characteristics, neonatal outcomes, and the values of the first-trimester neutrophil-to-lymphocyte ratio (NLR), systemic inflammation index (SII), systemic inflammatory response index (SIRI), and aggregated index of systemic inflammation (AISI). Furthermore, the relationship between these combined inflammatory markers and adverse obstetric outcomes in pregnant women with UC was investigated. No notable discrepancy was observed between the UC group and the control group with respect to SIRI and AISI. The first-trimester NLR and SII values were observed to be higher in the UC group in comparison to the control group. The data indicated that pregnant women with UC who experienced poor obstetric outcomes exhibited elevated levels of NLR, SII, SIRI, and AISI during the first trimester. In the ROC analysis, the predictive capacity of all four parameters for poor obstetric outcomes in UC patients was statistically significant. There is an association between elevated combined inflammatory markers in the first trimester and poor obstetric outcomes in pregnant women with UC.

Complete blood count and systemic inflammation indices in individuals with Alzheimer's disease: A case-control study.

Alzheimer's disease (AD) is the most common cause of dementia, characterized by progressive cognitive and functional decline and is associated with aging. Chronic inflammatory processes are also involved in its the etiology, as the consequence or cause of proteinopathy (amyloid and tau load in the brain). This study aimed to investigate the complete blood count and systemic inflammation indices in 61 individuals with AD, compared to 59 cognitively healthy individuals as controls. The diagnosis of AD dementia was based on the NIA-AA criteria and patients presented biomarkers in the cerebrospinal fluid compatible with the diagnosis of AD. The complete blood count (CBC) was conducted using an automated system. The neutrophil count (p=0.011), neutrophil-to-lymphocyte ratio (p=0.023), and Systemic Inflammation Response Index (SIRI) (p=0.044) were significantly higher, whereas the lymphocyte count (p=0.018) and platelet count (p=0.038) were significantly lower in the AD group compared to the control group. After a multivariategeneralized linear model analyses, neutrophils count and SIRI maintained significant difference between the groups, even after correcting for age, sex, body mass index and ApoE ε4 carrier status. The overall results suggest that AD is associated with a low-grade pro-inflammatory profile, characterized by alterations in blood inflammatory and immune cells, leading to a higher systemic inflammatory index. The CBC and its derived inflammatory indices, routinely obtained in clinical practice, have potential utility in the context of AD.

Comparison of Platelet Indices, Lymphocyte, and Systemic Inflammation Indices on Days 1 and 8 in Surviving and Non-Surviving COVID-19 Patients at Hasan Sadikin General Hospital, Bandung, Indonesia

Comparison of Platelet Indices, Lymphocyte, and Systemic Inflammation Indices on Days 1 and 8 in Surviving and Non-Surviving COVID-19 Patients at Hasan Sadikin General Hospital, Bandung, Indonesia

The Order of Concurrent Training Affects Acute Immunological Stress Responses and Measures of Muscular Fitness in Female Youth Judo Athletes.

This study aimed to examine the acute effects of concurrent muscle strength and sport-specific endurance exercise order on immunological stress responses, metabolic response, muscular-fitness, and rating-of-perceived-exertion (RPE) in highly trained youth female judo athletes. Thirteen female participants randomly performed two concurrent training (CT) sessions; strength-endurance and endurance-strength. Immune response, metabolic response, muscular fitness (i.e., countermovement jump-derived force and power [CMJ-force and CMJ-power]), and RPE were measured at different time points (i.e., PRE, MID, POST, POST6h, and POST22h). There were significant time×order interactions for lymphocytes (p=0.006, ES=1.31), granulocyte-lymphocyte ratio (p=0.002, ES=1.56), and systemic inflammation index (p=0.029, ES=1.11), blood glucose and lactate (p<0.001, ES=2.09 and p=0.0018, ES=1.51, respectively), CMJ-force (p=0.033, ES=1.26), and CMJ-power (p=0.007, ES=1.40) as well as RPE (p<0.001, ES=2.05). CT-induced acute (i.e., POST) but not delayed (i.e., POST6h and POST22h) order-dependent immune cell count alterations in highly trained youth female judo athletes. All markers of the immune system went back to baseline values at POST22h. Metabolic responses were slightly higher following the endurance exercise (irrespective of the applied exercise order). CMJ-measures and RPE fluctuated during both CT sessions but returned to baseline 6h post-exercise.

Interpretable prediction of acute ischemic stroke after hip fracture in patients 65 years and older based on machine learning and SHAP

BackgroundHip fracture and acute ischemic stroke (AIS) are prevalent conditions among the older population. The prognosis for older patients who experience AIS subsequent to hip fracture is frequently unfavorable. MethodsPatients were categorized into the AIS group and the non-AIS group. A predictive model was developed using six different machine learning algorithms. The SHapley Additive exPlanations (SHAP) method was then utilized to provide both local and global explanations. We performed adjusted mediation analyses. Furthermore, a nomogram was created to present the outcomes obtained from the LASSO regression examination. The main objective was to ascertain influential elements that can predict the occurrence of AIS. To alleviate the influence of confounding variables, propensity score matching was utilized to compare the occurrence of additional complications. Survival was compared by Kaplan-Meier methods. ResultsThe AUC of 6 ML models ranged from 0.73 to 0.87. The SVM model exhibited the greatest efficacy in forecasting AIS among older individuals with hip fractures. The leading 6 variables in the support vector machines (SVM) model were identified as systemic inflammatory response index (SIRI), carotid atherosclerosis, prior stroke, C-reactive protein (CRP), fibrinogen (FIB), and hypertension. The leading 2 variables in SHAP were identified as FIB at admission and SIRI index. There wasn't potential mediating effect of admission FIB between the SIRI index and AIS. There were statistically significant differences between the two groups in survival (P=0.003). ConclusionsThe model displayed good performance for prediction of AIS after hip fracture in patients 65 years and older, which might facilitate to establishment of a better clinical assessment plan.

Evaluation of Complete Blood Parameters and Inflammation Markers in Spontaneous Preterm Labor.

This study aims to evaluate the relationship between systemic inflammatory markers, derived from complete blood count (CBC) parameters, and spontaneous preterm labor. By comparing these markers between preterm and term pregnancies, the study seeks to determine their potential predictive value for adverse neonatal outcomes, including birth weight, APGAR (appearance, pulse, grimace, activity, and respiration) scores, and neonatal intensive care unit (NICU) admission. This study evaluated inflammatory markers in 478 women with spontaneous preterm labor and a gestational age-matched control group. Blood samples were collected prior to the onset of labor to assess CBC parameters (white blood cells [WBC], red blood cells [RBC], neutrophils, lymphocytes, and platelet counts), as well as various inflammatory ratios, such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI). Neonatal outcomes, such as birth weight, APGAR scores, and NICU admission, were recorded. The preterm group showed significantly higher WBC, RBC, neutrophil, lymphocyte, and platelet counts compared to the control group. MLR, MPR, and MPVLR were notably lower in the preterm group. However, these hematological parameters and inflammatory markers demonstrated limited predictive value for adverse neonatal outcomes, with area under the curve (AUC) values hovering around 0.5. WBC, RBC, neutrophils, lymphocytes, and platelet counts, along with inflammatory markers such as MLR, MPR, and MPVLR differ between preterm and term groups and can be derived from a simple CBC test. However, their predictive value for adverse neonatal outcomes remains limited.

Association of systemic inflammatory response index and stroke: a cross-sectional study of NHANES, 2005–2018

Association of systemic inflammatory response index and stroke: a cross-sectional study of NHANES, 2005–2018

The Prognostic Value of Inflammatory Indices in Acute Pulmonary Embolism

Background: Acute pulmonary embolism (PE) is a condition with increased morbidity and mortality. It is important to identify patients with high mortality risk. Inflammation and thrombosis are interconnected in the pathophysiology of PE. The aim of the study was to investigate the prognostic value of multiple blood cellular indices such as neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte platelet ratio (NLPR), systemic immune–inflammation index (SII), systemic inflammation response index (SIRI) and aggregate index of systemic inflammation (AISI) in acute PE. Methods: A total of 157 patients with acute PE confirmed by chest computed tomographic angiography (CTPA) were enrolled. These patients were divided into two categories according to the simplified pulmonary embolism severity index (sPESI): high risk and low risk. Results: Univariate logistic regression analysis showed that right ventricle dysfunction, NLR, SII and SIRI were significantly associated with high risk of acute PE. NLR of 4.32 was associated with high-risk PE with a sensitivity of 57.4% and specificity of 65.7% (AUC = 0.635). SII of 1086.55 was associated with high-risk PE with a sensitivity of 55.7% and specificity of 71.4% (AUC = 0.614). SIRI of 2.87 was associated with high-risk PE with a sensitivity of 59% and specificity of 62.9% (AUC = 0.624). Multivariate logistic regression analysis demonstrated that right ventricle dysfunction, NLR, PLR and NLPR are independent predictors of high-risk acute PE. Secondly, NLR, NLPR, SII and SIRI were significantly correlated with in-hospital mortality of acute PE. Based on receiver-operating characteristic (ROC) curve values of 7.66 for NLR (AUC 0.911, sensitivity of 85.7% and sensibility of 83%), 0.02 for NLPR (AUC 0.871, sensitivity of 85.7% and sensibility of 70%), 1542.71 for SII (AUC 0.782, sensitivity of 71.4% and sensibility of 72%) and 5.72 for SIRI (AUC 0.788, sensitivity of 71.4% and sensibility of 73%) could predict in-hospital mortality. Conclusions: The blood cellular indices (NLR, NLPR, SII and SIRI) are associated with high-risk acute PE and in-hospital mortality. Right ventricular dysfunction, NLR and NLPR are independent predictors for high-risk acute PE.

Evaluation of placental growth factor, Vitamin D, and systemic inflammatory index as predictive biomarkers for preeclampsia severity: a retrospective cohort study

AimOur study aimed to evaluate the predictive value of Placental growth factor (PlGF), Vitamin D, and systemic inflammatory index for assessing preeclampsia risk and severity.Materials and methodsThis retrospective cohort study included 457 pregnant individuals who delivered at our hospital between March 2023 and October 2024. Participants were divided into three groups: control (n = 217), mild preeclampsia (n = 101), and severe preeclampsia (n = 67). A separate validation cohort (n = 72) was used to test model performance. Data on demographic, clinical, and laboratory characteristics, including PlGF, Vitamin D, neutrophil, lymphocyte, and monocyte counts, were collected between 16 and 20 weeks of gestation. Logistic regression analysis was performed to identify independent risk factors, and receiver operating characteristic (ROC) curve analysis was used to assess the predictive power of PlGF, Vitamin D, lymphocyte count, and Pan-immune-inflammation value (PIV). The regression models adjusted for potential confounders, including maternal age, body mass index (BMI), and parity.ResultsIn the training cohort, significant differences were observed among control, mild, and severe preeclampsia groups, with severe cases showing elevated PIV (515.8 ± 126.7) and reduced levels of PlGF (12.5 ± 5.8 pg/mL) and Vitamin D (8.4 ± 1.9 ng/mL) compared to controls (P < 0.001). Logistic regression identified lower levels of PlGF (P < 0.001) and Vitamin D (P < 0.001) as significant independent risk factors for severe preeclampsia. PIV was also a strong predictor, showing a high hazard ratio (P < 0.001). In the training and validation cohorts, ROC analysis showed AUC values of 0.774 and 0.751 for PlGF, 0.805 and 0.796 for Vitamin D, 0.688 and 0.675 for Lymphocyte, and 0.724 and 0.752 for PIV, respectively, indicating strong predictive value for PlGF, Vitamin D, and PIV in assessing preeclampsia risk.ConclusionLower levels of PlGF and Vitamin D, along with higher PIV, were independently associated with an increased risk of severe preeclampsia. These findings suggest that PlGF, Vitamin D, and PIV are valuable biomarkers for early identification of high-risk preeclampsia patients, potentially aiding in timely intervention and improved outcomes.

P0691 Impact of Ozanimod (OZA) on Circulating Neutrophils: Results from the Phase 3 Japanese True North (J-TN) Study of Patients (Pts) With Moderately to Severely Active Ulcerative Colitis (UC)

Abstract Background OZA was approved for treatment (tx) of moderately to severely active UC in adults based on TN study results. Increases in circulating neutrophils are an indicator of systemic inflammation, and increased infiltration of activated neutrophils in intestinal mucosa contributes to mucosal inflammation in inflammatory bowel disease (IBD). Human neutrophil elastase-mediated degradation of calprotectin (CPa9-HNE) is a measure of neutrophil activity. Methods The effect of OZA on neutrophils and CPa9-HNE levels and the association of neutrophils and CPa9-HNE levels with OZA efficacy were assessed in all J-TN pts. During the 12-wk induction period, pts were randomized to OZA 0.46 mg, OZA 0.92 mg or placebo (PBO). OZA clinical responders at Week (W) 12 were continually assigned treatment to OZA or PBO for maintenance through W52. Circulating neutrophil and CPa9-HNE levels were analyzed at baseline and throughout the induction periods. Neutrophil and CPa9-HNE levels were explored by clinical response status at W12 and W52. Results Absolute neutrophil counts remained within the normal range throughout the induction and maintenance periods. Circulating neutrophil levels decreased with OZA 0.46 mg and 0.92 mg during induction and were significantly lower than those observed with PBO. Neutrophil levels significantly decreased by 2 weeks of treatment with OZA at 0.92mg dose groups compared to baseline. Circulating neutrophils remained low with continued OZA during induction period. Decreases in circulating neutrophil levels were greater in patients with clinical response starting at Week 9 (responders) than those without clinical response at Week 12 (nonresponders) in both dose Oza-treated pts groups during the induction period. CPa9-HNE levels also decreased with OZA 0.92 mg during induction period as compared with PBO and baseline. However, No significant difference of circulating Cpa9-HNE levels between responder vs nonresponser with Oza treatment at week 12. Baseline NEUT was positively associated with baseline stool frequency, 9-point Mayo and CRP. Baseline Cpa9-HNE levels was positively associate with baseline CRP. Furthermore, CfB NEUT was positively associated with CfB Physician Global Assessment, Rectal Bleeding and CRP with Oza 0.92mg treatment at week 12. CfB NEUT and Cpa9-HNE was positively associated with CfB CRP with both dose Oza treatments at week 12. Conclusion Circulating inflammatory markers of neutrophils and CPa9-HNE decreased with ozanimod use. These findings support the use of circulating neutrophils and CPa9-HNE, a measure of neutrophil activity, as pharmacodynamic markers for ozanimod treatment effect and potential disease markers in patients with UC.

Exploring and validating associations between six systemic inflammatory indices and ischemic stroke in a middle-aged and old Chinese population

BackgroundInflammation and maladaptive immune mechanisms have been substantiated as integral components in the critical pathological processes of the injury cascade in ischemic stroke (IS). This study aimed to explore the associations between six systemic inflammatory indices and IS in a Chinese population.MethodsThis was a case-control study based on the retrospective review of electronic medical records from two hospitals in Shandong Province, China. Systemic inflammatory indices, including the systemic inflammation response index (SIRI), systemic immune inflammation index (SII), pan-immune-inflammation value (PIV), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and lymphocyte monocyte ratio (LMR), were calculated. Logistic regression models and classification analyses were employed to evaluate associations and discriminatory abilities.ResultsIn total, 9392 participants aged 40–83 years old were included in the discovery (3620 pairs of IS-present cases and healthy controls) and validation (1076 pairs of IS-present cases and IS-absent controls with IS mimics) datasets. After adjusting for potential confounding factors, IS was found to be associated with all six systemic indices in the discovery dataset, including SIRI (odd ratio [OR] 8.77, 95% confidence interval [CI] 7.48–10.33), SII (1.03, 1.01–1.04), PIV (1.01, 1.01–1.01), NLR (2.23, 2.08–2.39), PLR (1.01, 1.01–1.01), and LMR (0.77, 0.75–0.78). Notably, only LMR exhibited significant associations with IS in both discovery and validation datasets (0.88, 0.83–0.93), suggesting an independent protective role of this index. SIRI, SII, PIV, NLR, and LMR showed good discriminative ability between IS patients and healthy controls in the discovery dataset (AUCs > 0.70). However, they performed poorly in distinguishing IS patients from IS mimics in the validation dataset (AUCs < 0.60).ConclusionThis study provides valuable insights into the associations between systemic inflammatory indices and IS, offering potential implications for risk stratification. While these inflammatory indices are potential indicators for distinguishing IS from healthy conditions, additional biomarkers may be needed when differentiating IS from other chronic inflammatory conditions in clinical practice.

Association between abnormal systemic coagulation inflammation index and recurrence of deep venous thrombosis as well as quality of life: A retrospective study.

Deep vein thrombosis (DVT) of the lower limb is a significant clinical challenge with the potential for recurrence, which can lead to increased morbidity and reduced quality of life. A retrospective case-control study was conducted involving 367 patients diagnosed with lower limb DVT from June 2020 to June 2023. Patients were categorized into a recurrence group (n = 121) and a non-recurrence group (n = 246) based on DVT occurrence. Data were systematically collected from medical records, including demographic information, thrombus characteristics, patient compliance, coagulation parameters, inflammatory markers, and quality of life assessments using the CIVIQ-20 and SF-36 scales. The recurrence group had significantly higher mean age, history of orthopedic diseases, and pregnancy, reduced compliance with compression therapy and anticoagulation, and elevated inflammatory markers including IL-6, IL-8, and TNF-α. Prolonged coagulation times (PT, APTT, TT) were associated with a lower risk of recurrence. The SCI index was significantly lower in the recurrence group. Multivariate logistic regression identified age, IL-6, IL-8, PT, APTT, TT, and SCI index as significant predictors of recurrence. Quality of life scores were lower in the recurrence group, indicating a higher impact on mental and overall health. ROC analyses demonstrated strong predictive capacity (AUC = 0.905) of SCI index. The study underscores the multifactorial nature of DVT recurrence, highlighting the role of age, systemic inflammation, coagulation times, and compliance with therapeutic interventions. The SCI index emerges as a compelling prognostic marker for assessing the risk of DVT recurrence. These findings emphasize the need for comprehensive management strategies incorporating these parameters to prevent recurrence and improve patients' quality of life.

Early and Long-Term Outcomes of Patients Undergoing Surgery for Native and Prosthetic Valve Endocarditis: The Role of Preoperative Neutrophil-to-Lymphocyte Ratio, Neutrophil-to-Platelet Ratio, and Monocyte-to Lymphocyte Ratio.

Background/Objectives: Previous studies evaluated the prognostic role of hematological parameters in predicting outcome in patients with infective endocarditis (IE). However, only a few studies evaluated the role of hematological parameters in patients undergoing surgery for IE. The aim of this study was to review our 20-year experience with the treatment of native (NVE) and prosthetic (PVE) valve endocarditis and to evaluate the role of neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-platelet ratio (NPR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), neutrophil-to monocyte ratio (NMR), and systemic inflammatory index (SII) on early and long-term outcomes of patients undergoing surgery for NVE and PVE. Methods: All adult patients undergoing surgery for NVE and PVE at our institution between January 2001 and December 2022 were included in the study. Preoperative NLR, NPR, PLR, MLR, NMR, and SII were calculated using hemograms with complete blood count. Results: During the study period, 503 patients, 371 (74%) males, median age 65 (52-73) years, underwent surgery for NVE (n = 337, 67%) or PVE (n = 166, 33%). Patients with PVE had significantly more aortic annulus abscess (95 (57%) vs. 51 (15%); p < 0.001), longer CPB (180 (131-235) vs. 105 (84-145) min; p < 0.001) and aortic cross-clamping times (129 (96-175) vs. 82 (64-114) min; p < 0.001), and received more aortic homografts (47 (28%) vs. 28 (9%); p < 0.001) and postoperative pacemaker implantation (25 (15%) vs. 20 (6%); p < 0.001 compared to patients with NVE. Preoperative NLR was 3.7 (2.4-6.1), NPR was 23 (16-37), PLR was 159 (106-210), NMR was 8.4 (6.6-12), MRL was 0.41 (0.29-0.62], and SII was 790 (485-1396). NLR, NPR, and MLR were significantly lower in patients with NVE compared to patients with PVE and in survivors compared to non-survivors. Overall mean survival time was 12.2 ± 0.5 years, with patients with NVE having better early and late survival compared to patients with PVE. Patients with preoperative NLR < 3.8, NPR < 30.9, and MLR < 0.4 had significantly better mean survival time compared to patients with preoperative NLR > 3.8, NPR > 30.9, and MLR > 0.4, respectively. Conclusions: In patients undergoing surgery for IE, preoperative higher NLR, NPR, and MLR are associated with increased early and long-term mortality.

Systemic Inflammatory Immune Index (SII) Predicts Disease Activity in Systemic Lupus Erythematosus (SLE) Patients: A Cross-Sectional Study

Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by widespread inflammation and diverse clinical manifestations. The systemic inflammatory immune index (SII), calculated as platelet count * neutrophil count/lymphocyte count, has emerged as a potential marker of systemic inflammation in various conditions. This study aimed to investigate the relationship between SII and disease activity in SLE patients. Methods: We conducted a cross-sectional study involving 60 SLE patients diagnosed according to the 2019 EULAR/ACR classification criteria. Demographic and clinical data were collected, and disease activity was assessed using the Mexican Systemic Lupus Erythematosus Disease Activity Index (MEX-SLEDAI). Blood samples were analyzed to determine SII values. Statistical analysis included Spearman's correlation to assess the relationship between SII and MEX-SLEDAI scores. Results: The study population predominantly consisted of women (98.3%), with a median age of 29 years. A strong positive correlation was observed between SII and MEX-SLEDAI scores (r = 0.931, p &lt; 0.001). Patients with higher SII values exhibited significantly greater disease activity. Conclusion: Our findings suggest that SII is a promising predictor of disease activity in SLE patients. This readily available index may aid clinicians in assessing disease severity and tailoring treatment strategies. Further research is warranted to validate these findings and explore the utility of SII in monitoring disease progression and treatment response.

The role of the Systemic Inflammatory Response Index (SIRI) and other maternal biochemical markers in determining the severity of intrahepatic cholestasis of pregnancy.

To investigate the roles of the systemic inflammatory response index (SIRI) and other biochemical markers obtained from maternal blood in determining the diagnosis and severity of pregnancy cholestasis. In this retrospective case-control study, a total of 815 pregnant women including 546 healthy pregnant women [serum total bile acid (TBA) level < 10 μmol/L, control group], 185 patients with mild cholestasis [serum TBA level < 40 μmol/L, mild intrahepatic cholestasis of pregnancy (ICP) group] and 84 patients with severe cholestasis (serum TBA level ≥ 40 μmol/L, severe ICP group) were evaluated. The groups were compared regarding demographic data, clinical characteristics, SIRI (neutrophilcount*monocytecount/lymphocyte count), and other laboratory data. Cut-off values that could predict ICP were calculated. The average neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic inflammatory response index (SIRI) were found to be statistically significantly higher in the severe ICP group compared with the control group and mild ICP group (p < 0.01 and p < 0.05). The best SIRI cut-off value was 2.3302 (60.3% sensitivity and 52.2% specificity) [area under the curve: 0.590 ± 0.023, 95% confidence interval (CI): 0.546-0.634; p < 0.001]. SIRI may be a useful marker in determining the diagnosis and severity of ICP. However, were commend that studies be conducted in larger groups and indifferent trimesters.

Systemic inflammatory response index improves prognostic predictive value in intensive care unit patients with sepsis

Sepsis is a severe infectious disease with high mortality. However, the indicators used to evaluate its severity and prognosis are relatively complicated. The systemic inflammatory response index (SIRI), a new inflammatory indicator, has shown good predictive value in chronic infection, stroke, and cancer. The purpose of this study was to investigate the connection between sepsis and SIRI and evaluate its predictive usefulness. A total of 401 patients with sepsis were included in this study. Multiple linear regression and logistic regression analyses were performed to evaluate the relationship between SIRI and sepsis. The restricted cubic spline (RCS) method was employed to illustrate the dose-response relationship. The area under the curve (AUC) and decision curve analysis (DCA) were used to evaluate the prognostic value of SIRI. Multiple linear regression analysis revealed a significant positive correlation between SIRI and both blood cell count and Sequential Organ Failure Assessment (SOFA) score. Additionally, higher SIRI levels were significantly linked to a higher risk of sepsis worsening, according to logistic regression analysis. The RCS curve demonstrated that the risk of poor prognosis rose with increasing SIRI, particularly when SIRI exceeded 6.1. Furthermore, AUC and DCA results showed that SIRI had superior predictive value compared to traditional indicators. A higher SIRI is linked to a worse prognosis and more severe sepsis. SIRI may serve as a novel prognostic indicator in sepsis, though further clinical studies are necessary to confirm these findings.