Systemic Immune-Inflammation Indices Could Be Additional Predictive Markers for Cesarean Scar Pregnancy.

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

Associations between SII, SIRI, and cardiovascular disease in obese individuals: a nationwide cross-sectional analysis.

Background: Systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are comprehensive markers of inflammatory status. However, the correlation between SII and SIRI and the prevalence of cardiovascular disease (CVD) in populations with obesity remains unknown. Methods: This is a cross-sectional study with data obtained from the National Health and Nutrition Examination Survey from 1999 to 2018. SII and SIRI were calculated using the following equations: SII = (platelet count × neutrophil count)/lymphocyte count. SIRI = (neutrophil count × monocyte count)/lymphocyte count. Spearman's rank correlation coefficient was used to assess the relationship between SII and SIRI and baseline variables. Logistic regression models and generalized additive model (GAM) with a spline smoothing function were used to evaluate the association between SIRI and CVD prevalence. Nomogram and receiver operating characteristic curve (ROC) analysis were used to assess the value of the risk prediction model. Results: A total of 17,261 participants with obesity and SII and SIRI publicly available data were used for this study. Multivariate logistic regression analysis revealed that SIRI, rather than SII, was an independent risk factor for CVD prevalence. For every standard deviation increase in SIRI, there was a 13%, 15%, and 28% increase in the odds ratios of CVD prevalence (OR = 1.13, 95% CI: 1.04-1.22, P = 0.01), coronary heart disease (OR = 1.15, 95% CI: 1.05-1.26, P = 0.002), and congestive heart failure (OR = 1.28, 95% CI: 1.16-1.41, P < 0.001). ROC results demonstrated that SIRI had a certain accuracy in predicting CVD prevalence (AUC = 0.604), especially when combined with other variables used in the nomogram (AUC = 0.828). The smooth curve fitting regression analysis demonstrated a significant linear association between the risk of SIRI and the odds ratio of CVD prevalence (P for nonlinear = 0.275). Conclusions: SIRI is a relatively stable indicator of inflammation and is independently associated with the prevalence of CVD. It may serve as a novel inflammatory indicator to estimate CVD prevalence in populations with obesity.

Targeted discovery of gut microbiome-remodeling compounds for the treatment of systemic inflammatory response syndrome.

Systemic inflammatory response syndrome (SIRS) is a severe inflammatory response that can lead to organ dysfunction and death. Modulating the gut microbiome is a promising therapeutic approach for managing SIRS. This study assesses the therapeutic potential of the Xuanfei Baidu (XFBD) formula in treating SIRS. The results showed that XFBD administration effectively reduced mortality rates and inflammation in SIRS mice. Using 16S rRNA sequencing and fecal microbiota transplantation (FMT), we substantiated that the therapeutic effects of XFBD are partly attributed to gut microbiota modulation. We conducted in vitro experiments to accurately assess the gut microbiome remodeling effects of 51 compounds isolated from XFBD. These compounds exhibited varying abilities to induce a microbial structure that closely resembles that of the healthy control group. By quantifying their impact on microbial structure and clustering their regulatory patterns, we devised multiple gut microbiome remodeling compound (GMRC) cocktails. GMRC cocktail C, comprising aucubin, gentiopicroside, syringic acid, gallic acid, p-hydroxybenzaldehyde, para-hydroxybenzoic acid, and isoimperatorin, demonstrated superior efficacy in treating SIRS compared to a single compound or to other cocktails. Finally, in vitro experiments showcased that GMRC cocktail C effectively rebalanced bacteria composition in SIRS patients. This study underscores XFBD's therapeutic potential in SIRS and highlights the importance of innovative treatment approaches for this disease by targeting the gut microbiota.IMPORTANCEDeveloping effective treatment strategies for systemic inflammatory response syndrome (SIRS) is crucial due to its severe and often life-threatening nature. While traditional treatments like dexamethasone have shown efficacy, they also come with significant side effects and limitations. This study makes significant strides by demonstrating that the Xuanfei Baidu (XFBD) formula can substantially reduce mortality rates and inflammation in SIRS mice through effective modulation of the gut microbiota. By quantitatively assessing the impact of 51 compounds derived from XFBD on the gut microbiome, we developed a potent gut microbiome remodeling compound cocktail. This cocktail outperformed individual compounds and other mixtures in efficacy against SIRS. These findings highlight the potential of XFBD as a therapeutic solution for SIRS and underscore the critical role of innovative strategies targeting the gut microbiota in addressing this severe inflammatory condition.

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.

Screening significance of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) in coronary heart disease of symptomatic youth.

BACKGROUND: The incidence of coronary heart disease (CHD) in youth is rapidly increasing but difficultly recognized in the early stage. METHODS AND RESULTS: In this retrospective study, 194 CHD patients under the age of 45 who previously experienced chest pain symptoms and 170 non-CHD patients were included and demographic data were collected. Systemic inflammation index (SII) and systemic inflammation response index (SIRI) were increased in young CHD patients (p < 001). Spearman's correlation analysis showed that both SII and SIRI were negatively correlated with HDL and positively correlated with hypertension, Gensini score, and hsTnI. Logistic regression analysis indicated that SII and SIRI were independently associated with the presence of CHD in youth with chest pain symptoms. The area under the ROC curve (AUC) of the SII model for young CHD patients was 0.805 (0.728-0.869), and the sensitivity and specificity were 0.65 and 0.823, respectively. Meanwhile, the AUC for the SIRI model was 0.812 (0.739-0.872), and the sensitivity and specificity were 0.673 and 0.8022. The calibration curves of both SII and SIRI models are in good agreement with the actual curves. And the decision curves of both models indicated their clinical practicality. CONCLUSION: SII and SIRI are independent risk factors for CHD in young adults, which can quickly and effectively identify CHD patients among young adults who have previously experienced chest pain symptoms.

Role of systemic immune-inflammatory index and systemic inflammatory response index in predicting the diagnosis of necrotizing pneumonia in children.

BACKGROUND: Necrotizing pneumonia (NP) is a rare serious complication of community-acquired pneumonia (CAP) in children, which is characterized by a protracted course of the disease and a prolonged hospital stay. This study aimed to assess the role of systemic immune-inflammatory index and systemic inflammatory response index in predicting early lung necrotization in children with CAP. METHODS: This study included all children hospitalized in Pediatric Pulmonology Unit, Tanta University, Egypt, with CAP between the ages of two months and 18 years. Systemic inflammatory indices, including the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), systemic immune-inflammatory index (SII), and systemic inflammation response index (SIRI), were calculated on patients' admission. RESULTS: The study involved a total of 228 children, 42 patients had NP, 46 patients had parapneumonic effusion, and 140 patients had non-complicated CAP. Patients with NP were substantially younger (p = 0.002), stayed in the hospital longer (p < 0.001), had a longer duration of symptoms before hospital admission (p < 0.001), and had fever for a longer duration than those in the other groups (p < 0.001). Regarding the inflammatory ratios, patients with NP had significantly higher MLR, PLR, SII, and SIRI than those in the other groups (p = 0.020, p = 0.007, p = 0.001, p = 0.037, respectively). ROC curve analysis showed that the combined SII + SIRI + D-dimer showed the highest AUC with a good specificity in predicting the diagnosis of NP. CONCLUSIONS: SII, SIRI, and D-dimer may be beneficial biomarkers for predicting the occurrence of NP in children when performed on patients' admission. In addition, it was found for the first time that combined SII + SIRI + D-dimer had a good sensitivity and specificity in the diagnosis of NP.

Determination of systemic inflammation response index (SIRI), systemic inflammatory index (SII), HMGB1, Mx1 and TNF levels in neonatal calf diarrhea with systemic inflammatory response syndrome.

The objective of this study was to examine the values of MX dynamin-like GTPase 1 (Mx1), high mobility group box-1 (HMGB1), systemic inflammatory response index (SIRI), systemic inflammatory index (SII), tumor necrosis factor (TNF), and other hematological indices in calves with systemic inflammatory response syndrome (SIRS). The study material was divided into two groups: the SIRS group (comprising 13 calves) and the control group (comprising 10 calves). The independent samples t-test and Mann-Whitney U test were employed for normally distributed and non-normally distributed data, respectively. The relationship between the two groups was determined using Spearman correlation coefficient analysis. Significant differences were identified between the SIRS group and the control group with regard to white blood cell (WBC; P < 0.05), neutrophil (NEU; P < 0.01), and neutrophil-to-lymphocyte ratio (NLR; P < 0.001) values, in addition to SIRI (P < 0.05), SII (P < 0.01) values. Furthermore, HMGB1 (P < 0.001), Mx1 (P < 0.05), and TNF values (P < 0.001) demonstrated notable disparities between the two groups. As a result of this study, it was concluded that there were significant increases in inflammatory hematological indices, as well as in the levels of HMGB1, Mx1, and TNF, in calves with SIRS.

Association between obesity and systemic immune inflammation index, systemic inflammation response index among US adults: a population-based analysis.

BACKGROUND: Obesity is characterized by a chronic low-grade inflammatory condition. Two emerging inflammatory biomarkers, the systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI), have gained attention. However, the relationships between obesity and SII/SRI remain unclear. METHODS: In this study, we analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018 among adults. SII-SIRI/SII/SIRI were categorized into three groups based on tertiles. The association between obesity and SII-SIRI/SII/SIRI was assessed by multivariable logistic regression models. Restricted cubic spline (RCS) plots were used to examine the nonlinear association between obesity and SII/SIRI. Finally, potential independent associations between obesity and SII/SIRI were further explored using subgroup analyses. RESULTS: The study included 20,011 adults, of whom 7,890 (39.32%) were obesity. In model 1, participants in the high (Q3) level of SII-SIRI had a significantly association with obesity than those in the low (Q1) level group. The high level of SII and SIRI were positively associated with obesity as compared to low levels. Model 2 revealed a positive association between obesity and high levels of SII-SIRI/SII/SIRI. Model 3 demonstrated a similar trend. RCS curves revealed a nonlinear association linking obesity to SII/SIRI. Subgroup analysis showed an interaction between SII/SIRI and age. CONCLUSIONS: Our research suggested that obesity was positively associated with SII-SIRI/SII/SIRI in U.S. adults. SII/SIRI may represent a cost-effective and direct approach to assessing obesity.

Novel predictors of intravenous immunoglobulin resistance in patients with Kawasaki disease: a retrospective study.

Objective: The aim of this study was to investigate the predictive value of systemic immune inflammation index (SII), systemic inflammatory response index (SIRI), and pan-immune inflammation value (PIV) in predicting intravenous immunoglobulin (IVIG) resistance in children diagnosed with Kawasaki disease (KD). Methods: The clinical data of pediatric patients diagnosed with Kawasaki disease and admitted to our hospital between January 2006 and December 2022 were retrospectively analyzed. Results: In total, 771 children diagnosed with KD were included in this study, 86 (11.2%) of whom were diagnosed with IVIG resistance. The correlation between SII, SIRI, PIV and IVIG resistance was evaluated using univariate testing, binary logistic regression analysis, and receiver operating characteristic (ROC) curve analysis. Our study found that the SII, SIRI, and PIV were independent risk factors (p=0.001, p<0.001, and p=0.02, respectively). The area under the ROC curve (AUC) values of the SII, SIRI, and PIV were 0.626 (95% confidence interval (CI): 0.553-0.698, p<0.001), 0.571 (95% CI: 0.500-0.642, p=0.032), and 0.568 (95% CI: 0.495-0.641, p=0.040), respectively, and the cutoff values were 2209.66, 3.77, and 1387.825, respectively. Conclusion: The SII, SIRI, and PIV have potential value in predicting IVIG resistance in patients with KD.

Analysis of preoperative nutrition, immunity and inflammation correlation index on the prognosis of upper tract urothelial carcinoma surgical patients: a retrospective single center study.

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

Preoperative systemic inflammation response index enhances the prognostic value of tumor multifocalityin upper tract urothelial carcinoma.

In cancer, tumor-related inflammation affects disease progression and survival outcomes. However, the role of systemic inflammation in tumor multifocality in upper tract urothelial carcinoma (UTUC) is not well understood. The aim of the present study was to evaluate the impact of the systemic inflammation response index (SIRI) on tumor multifocality for predicting oncological outcomes in patients with UTUC after radical nephroureterectomy (RNU). For this purpose, data from 645 patients with non-metastatic UTUC who underwent RNU between 2008 and 2020 were retrospectively analyzed. Survival outcomes such as overall survival (OS), cancer-specific survival (CSS) and recurrence-free survival (RFS) RATES were assessed using the Kaplan-Meier method, and independent prognostic factors were identified through a multivariable Cox proportional hazards regression model. Of the 645 patients with UTUC included in the present study, 163 (25%) had multifocal UTUC. Kaplan-Meier analysis indicated that multifocal UTUC synchronous with a high-level SIRI was significantly associated with poorer outcomes after RNU. Furthermore, the results of the multivariate Cox proportional hazards model analysis demonstrated that multifocal tumor coupled with a high-level SIRI was an independent factor for predicting a shorter survival and disease progression. In conclusion, the results of the present study indicated that an elevated SIRI significantly influenced the survival rate of patients with multifocal UTUC. Specifically, integrating multifocal UTUC with a high-level SIRI emerged as an independent risk factor for poorer OS, CSS and RFS. These findings highlighted the potential role of SIRI in the risk stratification and management of patients with multifocal UTUC.

Association between inflammatory biomarkers and hypertension among sedentary adults in US: NHANES 2009-2018.

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

The Clinical Value of the Neutrophil-to-Lymphocyte Ratio, the C-Reactive Protein-to-Albumin Ratio, the Systemic Inflammatory Index, and the Systemic Inflammatory Response Index in Patients with the Anti-Synthetase Syndrome.

Objective: There are no studies examining the role of the neutrophil-to-lymphocyte ratio (NLR), the C-reactive protein-to-albumin ratio (CAR), the systemic inflammatory index (SII), and the systemic inflammatory response index (SIRI) in anti-synthetase syndrome (ASS). We aim to compare NLR, CAR, SII, and SIRI in ASS and dermatomyositis/polymyositis (DM/PM), as well as to examine potential correlations between NLR, CAR, SII, and SIRI and clinical features and laboratory parameters in ASS. Methods: Retrospective collection of data from 111 patients with ASS and 175 patients with DM/PM. A Spearman rank correlation analysis was utilized to analyze the correlation between NLR, CAR, SII, and SIRI and inflammatory indexes. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value. Univariate logistic regression analysis was performed to assess risk factors for interstitial lung disease (ILD). Results: Compared with DM/PM, NLR, CAR, SII, and SIRI were significantly greater in ASS patients (p < 0.05). NLR, CAR, SII, and SIRI were correlated with albumin, lactic dehydrogenase (LDH), C-reactive protein (CRP), ferritin, white blood cell (WBC), platelets, and myositis disease activity assessment visual analog scales (MYOACT) score (p < 0.05). The ROC curves analysis showed that NLR, SII, and SIRI were all highly predictive of the occurrence of ASS. Comparisons based on clinical characteristics showed elevated levels of NLR, CAR, SII, and SIRI in ASS patients with ILD, fever, and infection (p < 0.05). Univariate logistic regression analysis revealed that NLR, CAR, and SII were significant risk factors for ASS-ILD (p < 0.05). Conclusion: The levels of NLR, CAR, SII, and SIRI were higher in ASS than in DM/PM and correlated with disease activity and specific clinical features. NLR, CAR, SII, and SIRI may be an aid in differentiating ASS from DM/PM and maybe promising biomarkers for ASS.

A Mediation Analysis of the Association Between Systemic Inflammation Response Index, in-Hospital Complications, and Poor Long-Term Functional Outcomes in Patients with Aneurysmal Subarachnoid Hemorrhage: Insights from a Large Prospective Cohort Study.

Purpose: Early systemic inflammatory changes are increasingly recognized as factors influencing outcomes after aneurysmal subarachnoid hemorrhage (aSAH). Systemic inflammation response index (SIRI), an inflammation biomarker, was thought to be associated with adverse outcomes in many other diseases. However, in aSAH, research on SIRI remains limited. Thus, our objective was to investigate the association between SIRI and poor long-term functional outcomes while evaluating the mediating role of in-hospital complications in this association. Patients and Methods: SIRI was defined as neutrophil count × monocyte count/lymphocyte count. Patients were categorized according to SIRI quartiles. Stabilized inverse probability of treatment weighting (sIPTW) was utilized to minimize group differences. The association between SIRI and in-hospital complications as well as poor 90-day functional outcomes (mRS 3-6) was estimated by multivariable logistic regression analyses. Mediation analysis was performed to investigate the relationship between SIRI and poor functional outcomes mediated by in-hospital complications. Results: A total of 650 patients were prospectively included. After sIPTW, compared to the lowest quartile, an elevated SIRI was associated with delayed cerebral ischemia (DCI) (OR 2.12, 95% CI 1.20-3.74), post-operative pneumonia (POP) (OR 2.16, 95% CI 1.29-3.62) and poor 90-day functional outcomes (OR 3.03, 95% CI 1.55-5.91). In-hospital complications including DCI (mediation proportion, 18.18% before sIPTW and 20.0% after sIPTW) and POP (mediation proportion, 18.18% before sIPTW and 26.7% after sIPTW) partially mediated the association between SIRI and poor 90-day functional outcomes. Mediation analysis yielded comparable results in subgroups stratified by age and sex. Conclusion: In this study, SIRI was associated with poor long-term functional outcomes in aSAH, which was partially mediated by DCI and POP with a mediation proportion exceeding 18%. Our findings might underscore the potential utility of SIRI in prompting physicians to address systemic inflammatory status timely to prevent in-hospital complications, including DCI and POP, and ultimately improve long-term functional outcomes.

Systemic inflammation response index is associated with increased all-cause and cardiovascular mortality in US adults with rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) stands as a persistent systemic inflammatory autoimmune condition. Despite this understanding, the precise impact of the systemic inflammation response index (SIRI) on the prognosis of RA patients remains elusive. This study aims to elucidate the correlation between the inflammatory biomarker SIRI and both all-cause mortality and cardiovascular mortality among RA patients. METHODS: Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2020, a retrospective analysis was conducted. Survival data were depicted through Kaplan-Meier survival curves, while the relationship between SIRI and all-cause or cardiovascular mortality in RA patients was scrutinized via multivariable Cox proportional hazards regression analysis and restricted cubic spline plots. Furthermore, subgroup analysis and mediation analysis were also performed. RESULTS: This study encompassed 2656 RA patients with a comprehensive 20-year follow-up, during which 935 all-cause deaths and 273 deaths attributed to cardiovascular disease were recorded. We observed a nonlinear positive correlation between SIRI with both all-cause and cardiovascular mortality in RA patients. Notably, at a SIRI level of 1.12, the hazard ratio reached 1, indicating a shift from low to high mortality risk. Furthermore, mediation analysis revealed that 12.6% of the association between RA and mortality risk was mediated through SIRI. Subgroup analysis indicated a more pronounced association between SIRI and mortality in female patients or those with a high BMI. CONCLUSION: This study underscores a non-linear positive correlation between the biomarker SIRI and both all-cause mortality and cardiovascular mortality in RA patients.

Association of systemic inflammation response index with mortality risk in older patients with hip fracture: a 10-year retrospective cohort study.

Objective: With a rapidly aging global population, the assessment of mortality risk following hip fracture in older adults has received increasing attention. Recently, the system inflammation response index (SIRI) has been identified as a novel prognostic marker to reflect both systemic inflammation and immune status. However, it is not yet known whether SIRI is a potential predictor of subsequent death in hip fracture patients. Therefore, this study aimed to investigate the association between SIRI and mortality in older patients with hip fracture. Methods: A total of 1,206 older hip fracture patients undergoing surgery between January 2013 and December 2022 were consecutively derived from our longitudinal database. Patients were divided into three groups according to SIRI tertiles, calculated as neutrophil × monocyte / lymphocyte. Survival status was obtained from medical records or telephone interviews, and the study outcome was all-cause mortality after hip fracture at the longest follow-up. Multivariate Cox proportional hazard model and restricted cubic spline (RCS) regression model were used to evaluate the association between SIRI and mortality. Moreover, a series of sensitivity analyses were conducted to further validate the robustness of the association. Results: During a median follow-up of 43.85 months, 337 patients (27.94%) died. After full adjustment, each unit increase in SIRI was significantly associated with a 2.2% increase in overall mortality (95% confidence interval [CI]: 1.001-1.042, p = 0.029). Similarly, compared with the first tertile of SIRI, the second and third tertile showed a 1.335-fold (95% CI: 1.011-1.762, p = 0.042) and 1.447-fold (95% CI, 1.093-1.917, p = 0.010) higher risk of death. Sensitivity analyses confirmed the stability of the association. Moreover, RCS analysis revealed a positive non-linear relationship between SIRI and mortality (P for nonlinearity = 0.021). Conclusion: High SIRI level at admission was significantly and positively associated with an increased risk of death, suggesting that SIRI may be an independent predictor of mortality in older patients with hip fracture.

Prognostic value of systemic inflammation response indexes obtained from the complete blood count in patients treated for advanced ovarian carcinoma in front line.

OBJECTIVE: Various systemic inflammation response indexes (SIRI) have repeatedly been described as prognostic factors in ovarian cancer. They have not been validated in prospective trials and published results are sometimes contradictory. We aimed to explore their role in a cohort of patients diagnosed with stage III and IV ovarian cancer treated at our institution. METHODS: We retrospectively examined the prognostic influence of the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the monocyte-to-lymphocyte ratio (MLR), the red cell distribution width (RDW), and the mean platelet volume (MPV). RESULTS: A total of 77 patients were analyzed. NLR > 2.243 at diagnosis, NLR before primary surgery, MLR at diagnosis, PLR > 289.1 at diagnosis, and PLR at diagnosis were significant in univariate Cox regression for progression-free survival, but none of them retained their significance in the multivariate Cox regression analysis. For overall survival, NLR > = 2.53 at diagnosis, MLR > = 0.245 at diagnosis, and PLR > = 198.3 at diagnosis resulted significant in univariate COX regression; only PLR > = 198.3 at diagnosis retained its significance in the multivariate analysis. CONCLUSION: In our cohort, PLR > = 198.3 was an independent prognostic factor for worse OS. The definitive role of SIRI in ovarian cancer has not yet been established. If their value as prognostic factors could finally be established, they would become a simple and economical method to predict prognosis in patients with advanced ovarian cancer. Therefore, it is time to conduct prospective, multicenter studies with larger samples to definitively establish its role in ovarian cancer, if any.

Systemic immune-inflammation index upon admission correlates to post-stroke cognitive impairment in patients with acute ischemic stroke.

BACKGROUND: The purpose of this prospective study was to evaluate the association of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI), with PSCI in patients with acute ischemic stroke (AIS). METHODS: First-onset AIS patients were consecutively included from January 1, 2022 to March 1, 2023. The baseline information was collected at admission. Fasting blood was drawn the next morning. Cognitive function was assessed by the Montreal Cognitive Assessment (MoCA) 3 months after onset. Logistic regression analysis was performed to explore the correlation between SII, SIRI, and PSCI. Receiver operating characteristic (ROC) was conducted to evaluate the predictive ability of SII. RESULTS: 332 participants were recruited, and 193 developed PSCI. Compared with patients without PSCI, the patients with PSCI had higher SII (587.75 (337.42, 988.95) vs. 345.66 (248.44, 572.89), P<0.001) and SIRI (1.59 (0.95, 2.84) vs. 1.02 (0.63, 1.55), P=0.007). SII and SIRI negatively correlated with MoCA scores (both P<0.05). The multivariable logistic regression analysis indicated that SII was independently associated with PSCI (P<0.001), while SIRI was not. The optimal cutoff for SII to predict PSCI was 676.83×109/L. CONCLUSIONS: A higher level of SII upon admission was independently correlated to PSCI three months later in AIS patients.

U-shaped relationship found between fibrinogen-to-albumin ratio and systemic inflammation response index in osteoporotic fracture patients.

The relationship between the Systemic Inflammatory Response Index (SIRI) and the Fibrinogen-to-albumin ratio (FAR) has not been extensively investigated. The objective of this study was to determine the independent relationship between FAR and SIRI in people with osteoporotic fractures (OPF). A cross-sectional study was conducted using retrospective data from 3431 hospitalized OPF patients. The exposure variable in this study was the baseline FAR, while the outcome variable was the SIRI. Covariates, including age, gender, BMI, and other clinical and laboratory factors, were adjusted. Cross-correlation analysis and linear regression models were applied. The generalized additive model (GAM) investigated non-linear relationships. Adjusted analysis revealed an independent negative association between FAR and SIRI in OPF patients (ß = - 0.114, p = 0.00064, 95% CI - 0.180, - 0.049). A substantial U-shaped association between FAR and SIRI was shown using GAM analysis (p < 0.001). FAR and SIRI indicated a negative association for FAR below 6.344% and a positive correlation for FAR over 6.344%. The results of our study revealed a U-shaped relationship between SIRI and FAR. The lowest conceivable FAR for a bone-loose inflammatory disease might be 6.344%, suggesting that this has particular significance for the medical diagnosis and therapy of persons with OPF. Consequently, the term "inflammatory trough" is proposed. These results offer fresh perspectives on controlling inflammation in individuals with OPF and preventing inflammatory osteoporosis.

Peripheral Blood Inflammatory Markers as A Reliable Predictor of Gastric Mucosal Metaplasia Change in the Middle-aged Population.

Purpose: The study aims to evaluate the efficacy of peripheral blood inflammatory markers as clinical predictors for gastric intestinal metaplasia (IM), a known precursor to gastric cancer. This research investigates the potential of these markers to serve as reliable indicators for detecting gastric IM. Methods: A retrospective cohort study was conducted on 59,143 individuals who underwent checkups at the Taoyuan Chang Gung Memorial Hospital Health Clinic Center from 2010 to 2014. Of these, 11,355 subjects who received gastroscopic biopsies were recruited. After omitting cases with incomplete blood data, the sample was narrowed to 10,380 participants. After exclusion and propensity score matching, subjects in the group with IM and control patients without IM were balanced and included in the study. These subjects were stratified by gender and age, and predictors such as the Systemic Inflammation Response Index (SIRI), Systemic Immune Inflammation Index (SII), and Monocyte-to-Lymphocyte Ratio (MLR) were evaluated. Multivariate logistic regression models were employed to analyze the presence or absence of IM accurately. Results: Out of the 10,380 subjects, 2,088 (20.1%) were diagnosed with IM, while 8,292 (79.9%) did not have IM. In our analysis, inflammation indices were found to have a limited impact on younger patients. For middle-aged and elderly individuals, SII showed statistical significance for predicting IM in males (p=0.0019), while SIRI and MLR were significant for females (SIRI p=0.0001, MLR p=0.0009). Additionally, the Area Under the Curve (AUC) value indicated that inflammation indices were more influential in females (55.1%) than males. Conclusions: The study results reveal that peripheral blood inflammatory markers could be useful in predicting gastric mucosal metaplasia changes, particularly in middle-aged and elderly populations. Although the markers' predictive power varies with gender, they represent a significant step forward in the non-invasive detection of gastric IM. This could aid in the early identification and management of precancerous conditions.