Systemic Immune-inflammation Index Research Articles

Neutrophil-lymphocyte ratio and systemic immune-inflammation index as predictors of cardiovascular risk and mortality in prediabetes and diabetes: a population-based study.

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

Systemic inflammation and menopausal symptomatology: insights from postmenopausal women.

This study aims to investigate the association between systemic inflammation, measured by the systemic immune-inflammatory index (SII), and menopausal symptoms in postmenopausal women. A cross-sectional study was conducted with 702 postmenopausal women recruited from a tertiary hospital. Participants completed the Menopause Rating Scale (MRS) to assess somatic, psychological, and urogenital symptoms. Blood samples were collected to calculate SII. Statistical analyses included correlation, univariate regression, and multivariate regression to determine the association between SII and menopausal symptoms. The most commonly reported symptoms were muscle and joint problems (75.9%), hot flashes and sweating (72.5%), sleeping problems (71.2%), and depressive mood (69.9%). Women with higher total and somatic subscale scores had significantly elevated SII levels compared with those with lower scores. SII was the most associated variable for high total MRS (odds ratio, 4.77; 95% CI, 3.36-6.78; P < 0.001) and somatic subscale scores (odds ratio, 6.32; 95% CI, 4.45-8.99; P < 0.001). Exercise and gravidity were negatively associated with high total MRS and somatic subscale scores. Conversely, no significant associations were observed between SII and the urogenital or psychological subscale scores. Elevated SII levels were found associated with higher somatic subscale and total MRS scores, suggesting that inflammation may contribute to worsened somatic menopausal symptoms in this group. These findings suggest that exploring inflammatory pathways could be beneficial in managing menopausal symptoms and enhancing quality of life for postmenopausal women.

Prediction of Postoperative Recurrence of Chronic Subdural Hematoma Using Preoperative Systemic Immune Inflammation Index and Eosinophils.

Objective Chronic subdural hematoma (CSDH) is a common neurological problem with significant recurrence after surgery. Risk considerations can vary, ranging from patient-related factors to those related to the surgical procedure. This study explores the association between preoperative eosinophil count and systemic immune inflammation (SII) with CSDH recurrence. Materials and Methods We conducted a prospective analysis of 105 patients with equal numbers of CSDHs who underwent surgery for CSDH between January 2023 and January 2024. The preoperative eosinophil counts, along with other differential leukocyte counts, were measured. The SII index was calculated using the standard formula (SII = neutrophil count × platelet count/lymphocyte count). Multivariate and univariate regression analyses were performed to assess the association between risk factors and CSDH recurrence. Results The preoperative eosinophil count showed a significant correlation with recurrence ( p < 0.001). The SII index was significantly higher in patients with recurrent CSDH ( p = 0.003). Neutrophils were found to be significantly associated with CSDH recurrence ( p = 0.038). Age ( p < 0.001) and SII ( p = 0.005) were found to be independent predictors of CSDH recurrence, whereas hematoma volume ( p < 0.001) and the antiplatelet regimen were a significant predictor of CSDH recurrence ( p = 0.047). Variables like male gender, diabetes mellitus, anticoagulants, and hematoma volume were associated with eosinophil-rich or eosinophil-poor status. Conclusion Preoperative eosinophil count, neutrophils, and the SII index may serve as potential predictors of CSDH recurrence. Further studies with larger sample sizes are needed to validate these findings.

The role of sarcopenia in pre- and postoperative inflammation: implications of outcomes in patients with colorectal cancer

BackgroundPatients with colorectal cancer (CRC) with sarcopenia often have a poor prognosis, and the timing of preoperative intervention to improve sarcopenia is unclear. Sarcopenia can affect the body’s overall inflammatory status. This study aimed to investigate whether sarcopenia exacerbates the inflammatory response in patients with CRC after surgical stimulation and its effect on the prognosis. MethodsA retrospective analysis was conducted on a cohort of 215 patients with CRC who were categorized into either the sarcopenia group or the nonsarcopenia group based on their skeletal muscle index values. Inflammation-related indicators were collected from patients before and after surgery, allowing for the calculation of the differences in preoperative and postoperative changes. In addition, the correlation between inflammatory markers and postoperative complications was assessed. All patients were followed up for a period ranging from 2 to 5 years, with an average follow-up duration of 3 years, during which their recurrence and mortality rates were recorded. In addition, the relationship between inflammation indicators was explored. ResultsOf note, 45 of 215 patients with sarcopenia had higher levels of preoperative baseline inflammation markers, such as C-reactive protein (P = .002), immune-inflammation index (IBI; P < .001), systemic inflammatory response index (SIRI; P = .009), and systemic immune-inflammation index (SII; P = .002) than patients without sarcopenia. There was a significant difference in inflammatory indicators before and after surgery between dIBI, dSIRI, and dSII, with the largest effect observed. In addition, the predictive capabilities of dIBI, dSIRI, and dSII for postoperative complications, as measured using the area under the receiver operating characteristic curve, were found to be 0.938, 0.877, and 0.818, respectively. Furthermore, survival analysis indicated that the differences in preoperative and postoperative alterations in IBI (dIBI), SIRI (dSIRI), and SII (dSII) were effective in predicting long-term postoperative mortality. ConclusionOur findings suggest that sarcopenia plays a significant role in exacerbating postoperative inflammatory response in patients with CRC, leading to an increased risk of postoperative complications and influencing long-term survival outcomes.

Association between admission inflammatory indicators and 3-year mortality risk in geriatric patients after hip fracture surgery: a retrospective cohort study.

Recent research indicates that the monocyte lymphocyte ratio (MLR), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), C-reactive protein (CRP), and systemic immune-inflammation index (SII) may serve as valuable predictors of early postoperative mortality in elderly individuals with hip fractures. The primary objective of the study was to examine the association between preoperative MLR, NLR, PLR, CRP, and SII levels and 3-year mortality risk in geriatric patients after hip fracture surgery. The study included patients aged 65 years or older who underwent hip fracture surgery between November 2018 and November 2019. Admission levels of MLR, NLR, PLR, CRP, and SII were measured. The median follow-up period was 3.1 years. Cox proportional hazards models were used to calculate the hazard ratio (HR) for mortality with adjusting for potential covariates. Time-dependent receiver operating characteristic (ROC) curves were employed to assess the predictive capability of inflammatory indicators for mortality. A total of 760 patients completed the follow-up (79.4 ± 7.8 years, 71.1% female). A higher preoperative MLR was found to be significantly associated with an increased 3-year postoperative mortality risk (HR 1.811, 95% CI 1.047-3.132, P = 0.034). However, no significant correlations were observed between preoperative NLR, PLR, CRP, SII and 3-year mortality. The areas under the ROC curve (AUCs) of MLR for predicting 30-day, 120-day, 1-year, and 3-year mortality were 0.74 (95% CI 0.53-0.95), 0.70 (95% CI 0.57-0.83), 0.67 (95% CI 0.60-0.74), and 0.61 (95% CI 0.56-0.66), respectively. Preoperative MLR is a useful inflammatory marker for predicting 3-year mortality in elderly hip fracture patients, but its predictive ability diminishes over time.

Prediction of Gestational Diabetes by Second Trimester Complete Blood Count Derived Inflammatory Markers

Abstract Aim: To investigate the predictive ability of routine complete blood count (CBC) derived inflammatory markers on gestational diabetes mellitus (GDM) in the second trimester. Methods: A total of 181 patients, whose routine complete blood count (CBC) was measured between 14 and 24 weeks of gestation, were divided into two groups according to a 75 g OGTT results. 99 women were GDM and 82 women had normal glucose tolerance (NGT). The groups were compared regarding mean platelet volume (MPV), platelet distribution width (PDW), plateletocrit (PCT), immature granulocyte count, delta neutrophil index (DNI), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and Systemic Immune-Inflammation Index (SII). Results: PDW, immature granulocyte count, NLR, PLR and SII were higher in the GDM group, but no statistically significant difference was observed. Mean values of DNI were lower in women with GDM than NGT, although not statistically significant (0.84 versus 0.99, p =0.742). Conclusion: Our findings revealed that using second trimester inflammatory CBC parameters prior to screening test is not an accurate method to predict GDM.

Association between systemic immune-inflammation index and cardiovascular-kidney-metabolic syndrome

This study aims to explore the relationship between the Systemic Immune-Inflammation Index (SII) and Cardiovascular-Kidney-Metabolic (CKM) Syndrome and its components. Data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018 were analyzed. CKM Syndrome is defined as the coexistence of Cardiometabolic Syndrome (CMS) and Chronic Kidney Disease (CKD). The SII is calculated using the formula: SII = (Platelet count × Neutrophil count)/Lymphocyte count. Weighted logistic regression models were used to examine the associations between SII and CKM, as well as its specific components. Restricted cubic splines explored non-linear relationships, and piecewise linear regression models assessed threshold effects. A consistent positive correlation was observed between elevated SII levels and the likelihood of CKM and its related diseases. In the fully adjusted Model 3, an increase of 1000 units in SII was associated with a 1.48-fold increase in the odds of CKM (95% CI 1.20–1.81, p < 0.001). Quartile analysis revealed a dose–response relationship, with the highest quartile of SII (Q4) showing the strongest association with CKM and its components. Nonlinear analyses revealed inflection points for waist circumference, triglycerides, low HDL-C, and cardiometabolic syndrome at specific SII levels, indicating a change in the direction or strength of associations beyond these points. Conversely, a linear relationship was observed between SII and chronic kidney disease. The SII is positively correlated with the risk of CKM Syndrome and its individual components, with evidence of non-linear relationships and threshold effects for some components.

Changes in systemic immune-inflammation index (SII) predict the prognosis of patients with hepatitis B-related hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors.

This study aimed to evaluate the prognostic significance of changes in inflammatory markers in patients with Hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) treated with first-line lenvatinib plus a programmed cell death protein 1 (PD-1) inhibitor. This study retrospectively included 117 HBV-HCC patients treated with first-line lenvatinib in combination with a PD-1 inhibitor. Independent factors affecting progression-free survival (PFS) and overall survival (OS) were explored based on baseline indicators and inflammatory markers changes after one treatment cycle. Multivariate analysis revealed that an alpha-fetoprotein (AFP) level 400 ng/mL [hazard ratio (HR), 1.69; 95% confidence interval (CI), 1.11-2.58; P = 0.01] was identified as an independent risk factor, platelet-to-neutrophil ratio (PNR) 65.43 (HR 0.50; 95% CI 0.30-0.84; P and SII 539.47 (HR 0.54; 95% CI 0.30-0.96; P = 0.03) were identified as independent protective factors for PFS. Additionally, multivariate analysis demonstrated that AFP 400 ng/mL, HBV-HCC patients with diabetes mellitus (DM), and SII were independent risk factors of OS. The patients whose SII had increased after one cycle of treatment showed a poorer PFS (HR 1.61; 95 %CI 1.10-2.37; P = 0.015) and OS (HR 1.76; 95 % CI 1.15-2.70; P = 0.009) than patients whose SII had decreased. The objective response rate (ORR) was higher in the SII-decreased patients (47.5% vs 32.5%, P = 0.11). Mann-Whitney test found a significant difference in therapeutic response between the SII-increased patients and the SII-decreased patients (P = 0.04). SII can be associated with outcomes in patients with HBV-HCC treated with first-line lenvatinib plus PD-1 inhibitors.

Craniospinal irradiation for leptomeningeal metastasis of solid tumors: survival analysis and prognostic factors.

We conducted a study to examine the treatment outcomes and prognostic factors for patients who underwent craniospinal irradiation (CSI) for leptomeningeal metastasis of solid tumors. This retrospective study included patients who received CSI for leptomeningeal metastasis at a single institute between 2010 and 2021. Data from clinical records and the radiation information system were obtained and analyzed. A total of 25 patients were included in the study. Eighteen patients (72%) completed the scheduled CSI. The median overall survival (OS) period was 4.8months (95% confidence interval (CI): 3.2-10.0months). Symptom relief was achieved in four out of 23 symptomatic patients (17%). Non-hematological adverse events occurred in 12 patients (48%), with 1 patient (4%) developing Grade 3 bacterial meningitis and the other patients having Grade 1-2 events. Twenty patients (80%) had hematological adverse events of Grade 3 or higher. Grade 4 hematologic toxicities occurred in 3 patients (12%) due to neutropenia and in 11 patients (44%) due to lymphopenia. In multivariate Cox regression analysis, the systemic immune-inflammation index (SII) was identified as the only significant parameter for predicting OS. The median OS periods for patients with SII < 607 and SII ≥ 607 were 6.1 and 2.1months, respectively (P = 0.003). In conclusion, this study showed the treatment outcomes of CSI for leptomeningeal metastasis of solid tumors. It was shown that a high baseline SII was associated with shorter OS after CSI. The findings will contribute to the evaluation of prognosis after CSI.

Association between systemic inflammation markers and blood pressure among children and adolescents: National Health and Nutrition Examination Survey.

Few studies have estimated the associations of systemic inflammation markers and high blood pressure (HBP) in the pediatric population. Basing on data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, we assessed the associations between four inflammation-related factors based on blood cell counts: systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and risk for pediatric HBP by estimating odds ratios (ORs) using multivariable logistic regression models. A total of 17,936 children aged 8-19 years were included in the analysis, representing about 36.7 million American children. The prevalence rates of elevated blood pressure (EBP) and hypertension (HTN) were 15.79% and 6.77%, respectively. The results showed that the ORs for EBP per standard deviation (SD) increment in SII and NLR were estimated at 1.11 [95% confidence interval (95%CI): 1.04, 1.17] and 1.08 (95%CI: 1.02, 1.15), respectively; and the OR for EBP per SD increment in LMP were estimated at 0.90 (95%CI: 0.83, 0.96). These associations were stronger in boys and younger children. The study suggested that inflammation-related factors could serve as easily accessible early biomarkers for HBP risk prediction and prevention in children and adolescents. The study suggested that inflammation-related factors could serve as easily accessible early biomarkers for HBP risk prediction and prevention in children and adolescents. This is the first study that demonstrates the close association between systemic inflammation markers and HBP in children and adolescents using nationally representative population data. The findings have more public health implications and support that systemic inflammation markers based on blood cell counts could serve as easily accessible biomarkers of HBP risk and prevention in earlier identification of the diseases.

Relative value of novel systemic immune-inflammatory indices and classical hematological parameters in predicting depression, suicide attempts and treatment response

This study compared the power of the novel inflammatory markers systemic immune inflammation index (SII) and the system inflammation response index (SIRI) versus the classical hematological indices neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and platelet counts in distinguishing between major depressive disorder (MDD) with and without suicide attempts and distinguishing the non-response to selective serotonin reuptake inhibitor (SSRI) treatment. A total of 139 young adult MDD patients and 54 healthy controls (HC) were included. We found that, in comparison to HC, baseline NLR, PLR, SII, and SIRI were significantly higher in MDD patients, but only NLR and SII had area under the ROC curve (AUC) values greater than 0.7. MDD patients with suicide attempts (SA) showed significantly higher baseline MLR and SIRI, and a tendency to increase NLR compared to those without SA. In terms of AUC, sensitivity, and specificity, NLR was better than MLR, SIRI, SII, and PLR in distinguishing SA. Non-responders to SSRI treatment showed a significant increase in baseline platelet count and PLR compared to responders with an AUC greater than 0.7. These findings highlight the potential benefit of combining novel and classical hematological indices in predicting depression, suicide attempts and treatment response.

Prognostic significance of the Systemic Immune-Inflammation Index in Steven-Johnson Syndrome and Toxic Epidermal Necrolysis (SJS/TEN) patients.

Inflammatory markers such as neutrophil-lymphocyte ratio (NLR) and eosinophil count are known prognostic indicators for SJS/TEN severity. This study explored the correlation of systemic immune-inflammatory index (SII), platelet-lymphocyte ratio (PLR) and NLR with SCORTEN and patient outcomes. A retrospective audit of 34 SJS/TEN patients (25 SJS, 3 SJS/TEN overlap, 6 TEN) was conducted from 2018 to 2022 revealed mean admission values of SII 1597 (standard deviation (SD) 1904.18), NLR 6.52 (SD 5.99) and PLR 201.74 (SD 135.01). Cut-off values for predicting mortality were SII 1238.25 (area under ROC (AUROC) 0.82), NLR 8.32 (AUROC 0.8) and PLR 284.66 (AUROC 0.78). Multiple logistic regression using a backward stepwise method identified SCORTEN as a significant factor associated with mortality (p=0.029) after adjusting for SII, NLR and PLR. None of the inflammatory markers significantly predicted mortality, although admission PLR may be a potential risk factor (p=0.053).

Role of Systemic Immune Inflammation Index, Systemic Immune Response Index, Neutrophil Lymphocyte Ratio and Platelet Lymphocyte Ratio in Predicting Peritoneal Culture Positivity and Prognosis in Cases of Spontaneous Bacterial Peritonitis Admitted to the Emergency Department.

Background and Objectives: Spontaneous bacterial peritonitis (SBP) is a life-threatening disease that requires early diagnosis and treatment. It is known that a positive culture result for SBP, which is a common reason for admission to the emergency department, is related to the severity and prognosis of the disease. However, as it is not possible to determine the culture result in the early stage of the disease, different methods are required to predict prognosis in the emergency department. This study was conducted to evaluate the success of the SII, SIRI, NLR and PLR in predicting culture results, intensive care needs and mortality in patients with SBP admitted to the emergency department. Materials and Methods: This study was a retrospective, observational study. Patients with SBP who applied to the emergency department were included in this study. Pregnant women, patients with a malignancy, patients with another infection and patients with liver failure were excluded from this study. Data were analyzed in terms of culture results, the need for intensive care and mortality development. Analyses were performed using SPSS version 26. Results are presented with a 95% confidence interval. A p value less than 0.05 was considered statistically significant. Participant data were analyzed using the independent samples t-test or the Mann-Whitney U test based on normality, and ROC analyses were conducted to assess test accuracies and determine cut-off values. Results: A total of 275 patients were included in this study. Although the culture results of 183 patients were positive, 92 were negative. The SII, NLR and PLR were found to be significantly higher in culture-positive patients (p < 0.001, p = 0.013 and p = 0.002, respectively). The SII and NLR were found to be significantly higher in patients with high mortality (p < 0.001 and p = 0.017, respectively). Conclusions: This study showed that the SII, NLR and PLR may be useful in predicting culture positivity and prognosis in SBP patients in the emergency department.

Clostridioides difficile Infection: Use of Inflammatory Biomarkers and Hemogram-Derived Ratios to Predict Mortality Risk in Hospitalized Patients.

Clostridioides difficile infection (CDI) is a significant cause of mortality, especially in healthcare environments. Reliable biomarkers that can accurately predict mortality in CDI patients are yet to be evaluated. Our study aims to evaluate the accuracy of several inflammatory biomarkers and hemogram-derived ratios in predicting mortality in CDI patients, such as the neutrophil-to-lymphocyte ratio (NLR), the systemic immune-inflammation index (SII), the platelet-to-neutrophil ratio (PNR), the derived neutrophil-to-lymphocyte ratio (dNLR), C-reactive protein (CRP), the platelet-to-lymphocyte ratio (PLR), and procalcitonin (PCT). NLR showed a sensitivity of 72.5% and a specificity of 58.42% with an area under curve (AUC) = 0.652. SII had a sensitivity of 77.5%, a specificity of 54.74%, and an AUC = 0.64. PNR, neutrophils, dNLR, and lymphocytes had lower AUCs which ranged from 0.595 to 0.616, with varied sensitivity and specificity. CRP, leukocytes, and platelets showed modest predictive values with AUCs below 0.6. PCT had a sensitivity of 100%, a low specificity of 7.41%, and an AUC = 0.528. We conducted a retrospective analysis of CDI patients from two different hospital settings in Italy and Romania during the COVID-19 pandemic, from 1 January 2020 to 5 May 2023. Statistical analyses included t-tests, Wilcoxon rank-sum tests, χ2 tests, and multivariate logistic regression to identify predictors of mortality. ROC analysis assessed the accuracy of biomarkers and hemogram-derived ratios. A p value < 0.05 was considered significant. Neutrophils, dNLR, NLR, SII, and PNR are valuable biomarkers for predicting mortality in CDI patients. Understanding these predictors can improve risk stratification and clinical outcomes for CDI patients.

Pancreatic cancer - epidemiology, risk factors, nutritional and infl ammatory prognostic and predictive factors.

Pancreatic cancer remains one of the most challenging malignancies to treat, with consistently low survival rates despite advances in medical research. The identification and validation of effective prognostic biomarkers are crucial for improving diagnostic accuracy and treatment outcomes. The aim of the work is to analyze the latest data of the pancreatic cancer incidence and mortality, comparing them with global epidemiological data. The narrative review also aims to summarize current knowledge about various prognostic biomarkers in the pancreatic cancer treatment, including indicators of performance status, nutritional and inflammatory markers. The most recently available national epidemiological data on pancreatic cancer are analyzed. The literature review is focused on markers that evaluate the general condition of patients, such as performance status, body mass index, prognostic nutritional index and markers of the inflammatory response, such as Glasgow prognostic score, C-reactive protein, neutrophil to lymphocyte ratio, systemic inflammatory response index and systemic immune inflammation index. These biomarkers are analyzed for their role in predicting prognosis and response to systemic therapy for pancreatic cancer. Both the Slovak Republic and the Czech Republic are globally ranked in the leading places in terms of pancreatic cancer incidence and mortality, both in estimates and real data. Indicators of nutritional and performance status play a critical role in patient assessment and influence treatment decisions, with potential impact on treatment outcomes. Inflammatory markers have shown significant prognostic value, correlating with the patient's immune response to the tumor and inflammatory processes that may promote disease progression. However, despite their promising predictive capabilities, these biomarkers are not routinely used in clinical practice due to the need for further validation. Integration of new biomarkers into clinical practice could lead to more personalized therapeutic decisions and improved treatment outcomes. Further research is needed for a more comprehensive assessment of the validity of these biomarkers and their use in common clinical conditions.

Treatment of hidradenitis suppurativa with adalimumab in the PIONEER I and II trials reduced indices of systemic inflammation, recognised risk factors for cardiovascular disease.

Hidradenitis suppurativa (HS) is associated with increased cardiovascular disease (CVD) risk. Systemic immune inflammation index (SII), neutrophil/lymphocyte (NLR), platelet/lymphocyte (PLR) and monocyte/lymphocyte ratios (MLR) are biomarkers of systemic inflammation and CVD. One small study identified a lower NLR and PLR in patients treated with adalimumab. Our aim was to assess changes in SII, NLR, PLR and MLR in a larger cohort, and to evaluate their association with disease severity and treatment response. This was a post-hoc analysis of PIONEER I and PIONEER II, two phase 3 randomised placebo-controlled clinical trials of adalimumab for HS. SII, NLR, PLR and MLR were log10-transformed and linear mixed model was used to estimate treatment effect. SII, NLR, PLR and MLR reduced from baseline levels with adalimumab treatment by week 12, when the primary response endpoint was assessed. Significant changes first appeared at week 4 and were maintained to week 36. In contrast, no significant changes were observed in placebo-treated patients. In patients re-randomised at week 12 from placebo to adalimumab, SII, NLR, PLR and MLR also reduced within 4 weeks. In patients re-randomised from adalimumab to placebo, these biomarkers returned to baseline by week 36. In addition, SII, NLR and PLR correlated with draining fistula count (r=0.26-0.43, p<0.001). Adalimumab non-responders in PIONEER I had a higher SII, NLR and PLR at baseline and week 12, but this was not significant when adjusted for draining fistulae. Treatment of HS patients with adalimumab results in rapid sustained reduction in systemic inflammation measured by SII, NLR, PLR and MLR which correlate with CVD risk. SII, NLR and PLR may predict adalimumab response, although dependent on their interaction with the number of draining fistulae.

Prognostic Significance of Inflammatory and Nutritional Indices for Serous Ovary Cancer

Background: Cancer prognoses have been indicated to be associated with Onodera’s prognostic nutritional index (OPNI), the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), and the systemic immune-inflammatory index (SII). We investigated the prognostic value of the OPNI, NLR, PLR, and SII for serous ovary cancer (SOC). Methods: We retrospectively analyzed the cases of 133 patients with SOC treated at our institution from 2014 to 2021. The survival of the patients was assessed utilizing the Kaplan-Meier method to analyze overall survival (OS). Additionally, a multivariate analysis employing the Cox proportional hazard regression model was conducted to identify the independent prognostic factors for SOC. The positive event for the ROC diagnosis is mortality during follow-up. Results: The results revealed the following optimal cut-off points: OPNI, 45.5; NLR, 2.3; PLR, 224.4; and SII, 747.5. A comparative analysis demonstrated significant differences between high- and low-OPNI score groups in the treatment method, tumor stage, lymph node metastasis, albumin, NLR, PLR, and SII; other indicators are not irrelevant. We also observed that the OPNI, NLR, PLR, and SII were related to OS: the OPNI score was positively correlated with OS whereas the NLR, PLR, and SII values were negatively correlated with OS. These results identified the OPNI as the best prognostic indicator for SOC. Conclusions: Our findings demonstrate that the OPNI, NLR, PLR, and SII could be used as predictive and prognostic parameters for SOC.

Effect of Ticagrelor Versus Clopidogrel After Off-Pump Coronary Artery Bypass Grafting on Postoperative Atrial Fibrillation: A Cohort Study.

This study aimed to explore the effect of a P2Y12 inhibitor regimen on the occurrence of postoperative atrial fibrillation (POAF) after off-pump coronary artery bypass graft surgery in carriers with the cytochrome P450 family 2 subfamily C member19 loss-of-function allele. From May 2019 to November 2023, patients containing the cytochrome P450 family 2 subfamily C member19*2 or *3 allele undergoing elective first-time off-pump coronary artery bypass graft surgery including aspirin 100 mg/d and ticagrelor 180 mg/d (AT group; n=95) versus clopidogrel 75 mg/d (aspirin and clopidogrel group; n=95) were prospectively followed. The primary end point was the cumulative incidence of POAF in a week. The secondary end points were POAF burden, platelet aggregability, systemic immune-inflammation index and heart rate variability. The incidence of POAF was 21.1% in the AT group versus 41.1% in the aspirin and clopidogrel group (hazard ratio, 0.46 [95% CI, 0.27-0.76]; P=0.003). POAF burden, ADP-induced platelet aggregation and systemic immune-inflammation index was notably lower in the AT group than the aspirin and clopidogrel group. Heart rate variability data showed an increase in both high-frequency and SD of normal-to-normal RR intervals in the AT group with a decreased low-frequency/high-frequency ratio, suggesting that the sympathetic/parasympathetic activation was balanced. In patients carrying the cytochrome P450 family 2 subfamily C member19 loss-of-function allele, an AT regimen after off-pump coronary artery bypass grafting was associated with a lower incidence of POAF, paralleled by lower atrial fibrillation burden, ADP-induced platelet aggregation, lower systemic immune-inflammation index reaction, and a balanced automatic nerve system compared with an aspirin and clopidogrel regimen. Inhibiting the systemic immune-inflammation response and sustaining automatic nerve balance may underlie the therapeutic effect of POAF by a potent antiplatelet combination.

Role of paranasal abnormalities and systemic inflammation on primary acquired nasolacrimal duct obstruction

BackgroundTo determine the paranasal changes and inflammatory markers that may cause primary acquired nasolacrimal duct obstruction (PANDO) and to determine their relationship with success rates on different types of surgeries.Main bodyWe retrospectively reviewed the blood sample and computed tomography (CT) results on 92 patients who underwent dacryocystorhinostomy (DCR) surgery for PANDO and 82 healthy controls. Age, gender, paranasal abnormalities, hemogram values, International Normalized Ratio (INR) values, type of surgery, and recurrence rate were recorded; systemic Immune-inflammation Index (SII), neutrophil-to-lymphocyte ratio (NLR), monocytes-to- lymphocyte ratio (MLR) and platelet-to-lymphocyte ratio (PLR) were calculated in both groups. In the case group, total white blood cells, monocytes, and INR values were significantly lower (p < 0.05). Platelet, lymphocyte, neutrophil, PLR, MLR, NLR, and SII values did not differ significantly between the control and case groups (p > 0.05). There was no significant difference in the CT results between the groups (p > 0.05). No correlation was found between CT findings and inflammatory markers. Dacryocystitis (DC) was seen in 20% of patients and they were all in the case group. No correlation was found between recurrence rate and age, gender, type of surgery, CT findings, and blood results (p > 0.05). The recurrence rate was significantly higher in patients with bilateral PANDO and with DC (p < 0.05).Short conclusionThe incidence of PANDO may not be directly related to paranasal abnormalities and systemic inflammation. Low INR values may cause obstruction in the nasolacrimal duct. Age, gender, type of surgery, CT findings, and inflammation level do not affect the success of the surgery.

Relationship between systemic immune-inflammation index and osteoarthritis: a cross-sectional study from the NHANES 2005-2018.

The study aimed to explore the relationship between systemic inflammatory response index (SIRI) levels and osteoarthritis (OA) using cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) database from 2005 to 2018. Using cross-sectional data from the NHANES database from 2005 to 2018, we included 11,381 study participants divided into OA (n = 1,437) and non-OA (n = 9,944) groups. Weighted multivariable regression models and subgroup analyses were employed to investigate the relationship between SIRI and OA. Additionally, restricted cubic spline models were used to explore nonlinear relationships. This study enrolled 11,381 participants aged ≥20 years, including 1,437 (14%) with OA. Weighted multivariable regression analysis in the fully adjusted Model 3 indicated a correlation between higher levels of SIRI (log2-transformed) and an increased OA risk (odds ratio: 1.150; 95% confidence interval: 1.000-1.323, p < 0.05). Interaction tests showed that the variables did not significantly affect this correlation (p for interaction all >0.05). Additionally, a restricted cubic spline model revealed a nonlinear relationship between log2(SIRI) and OA risk, with a threshold effect showing 4.757 as the critical value of SIRI. SIRI <4.757 showed almost unchanged OA risk, whereas SIRI >4.757 showed rapidly increasing OA risk. The positive correlation between SIRI and OA risk, with a critical value of 4.757, holds clinical value in practical applications. Additionally, our study indicates that SIRI is a novel, clinically valuable, and convenient inflammatory biomarker that can be used to predict OA risk in adults.