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BACKGROUND: The predictive value of systemic inflammatory response index (SIRI) for stroke-associated pneumonia (SAP) risk in patients with acute ischemic stroke (AIS) treated by thrombectomy remains unclear. This study aimed to investigate the predictive value of SIRI for SAP in patients with AIS treated by thrombectomy. METHODS: We included AIS patients treated by thrombectomy between August 2018 and August 2022 at our institute. We used multivariate logistic regression to construct the prediction model and performed a receiver operating characteristic curve analysis to evaluate the ability of SIRI to predict SAP and constructed a calibration curve to evaluate the prediction accuracy of the model. We evaluated the clinical application value of the nomogram using decision curve analysis. RESULTS: We included 84 eligible patients with AIS in the analysis, among which 56 (66.7%) had SAP. In the univariate analysis, there were significant differences in sex (p = 0.035), National Institute of Health Stroke Scale score at admission ≥ 20 (p = 0.019) and SIRI (p < 0.001). The results of multivariable logistic analysis showed that the risk of SAP increased with the SIRI value (OR = 1.169, 95% CI = 1.049-1.344, p = 0.014). Age ≥ 60 (OR = 4.076, 95% CI = 1.251-14.841, p = 0.024) was also statistically significant. A nomogram with SIRI showed good prediction accuracy for SAP in AIS patients treated by thrombectomy (C-index value = 0.774). CONCLUSIONS: SIRI is an independent predictor for SAP in patients with AIS treated by thrombectomy. A high SIRI value may allow for the early identification of patients with AIS treated by thrombectomy at high risk for SAP.

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Systemic inflammatory response index (SIRI) has been proven to be associated with the prognosis of coronary artery disease and many other diseases. However, the relationship between SIRI and acute traumatic spinal cord injury (tSCI) has rarely been evaluated. The study aims to assess the prognostic value of SIRI for clinical outcomes in individuals with acute tSCI. A total of 190 patients admitted within eight hours after tSCI between January 2021 and April 2023 were enrolled in our study. Logistic regression analysis was used to analyze the association between SIRI and American Spinal Injury Association Impairment Scale (AIS) grade at admission and discharge, as well as neurological improvement in tSCI patients, and receiver operating characteristic (ROC) analysis was performed to assess the discriminative ability of SIRI in predicting AIS grade at discharge. After adjusting for confounding factors, SIRI positively correlated with the AIS grade (A to C) at admission and discharge, and negatively correlated with neurological improvement. The area under the curve values in ROC analysis was 0.725 (95% CI 0.647, 0.803). The study suggests that SIRI is significantly associated with an increased risk of poor clinical outcome at discharge in tSCI patients and has a certain discriminative value.

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Purpose: Heart failure with preserved ejection fraction (HFpEF) is inherently a complex inflammatory syndrome, and heightened inflammation is strongly associated with an increased risk of death. However, the association of systemic inflammation levels with total and cardiovascular death among patients with HFpEF remains unknown. We aimed to investigate the prognostic impact of systemic inflammation on all-cause and cardiovascular death among patients with HFpEF. Patients and Methods: Patients with HFpEF were included in this study. Systemic inflammation response index (SIRI) is defined as the multiplication of neutrophil and monocyte divided by lymphocyte count, and patients were divided into four groups based on SIRI quartiles. Cox regression models and competing risk models were used to examine the relationships between SIRI and total and cardiovascular­specific mortality, respectively. Results: 9,986 patients with HFpEF were included in five tertiary hospitals. During a median follow-up period of 4.4 years, a total of 2004 patients died, of which 965 were cardiovascular deaths. After fully adjusting for confounders, elevated SIRI level was significantly related to the increased risk of all-cause death (Q2, Q3, Q4: adjusted hazard ratio (aHR) [95 confidence interval (CI)%] =1.17[1.01-1.35], 1.31[1.13-1.52], 1.51[1.30-1.76], respectively; P for trend <0.001). The elevated quartile of SIRI showed higher risks of cardiovascular death, but there was no statistically significant increased risk of cardiovascular death across the lower SIRI quartile (model 3: Q2, Q3, Q4: aHR [95CI%] =1.22[0.99-1.51], 1.50[1.20-1.86], 1.73[1.37-2.18], respectively; P for trend <0.001). Conclusion: Elevated systemic inflammation level on admission was correlated with an increased risk of all-cause and cardiovascular death among patients with HFpEF. The SIRI may serve as a promising marker of risk stratification for patients with HFpEF.

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BACKGROUND: 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. OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

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BACKGROUND: Inflammatory markers for the prognosis of acute ischemic stroke (AIS) with endovascular therapy remain unclear. The purpose of this study was to investigate the association between the systemic inflammatory response index (SIRI) and neutrophil-to-lymphocyte ratio (NLR) with unfavorable functional outcomes at 90-day in individuals of AIS who underwent endovascular therapy. METHODS: A total of 128 AIS patients who had endovascular therapy were enrolled from the Nanjing Stroke Registry between September 2019 and November 2022. Peripheral venous blood was collected from patients within 24 h of admission for information on the following parameters: neutrophil count, lymphocyte count, and monocyte count. Then, the SIRI and NLR values were calculated and the association among SIRI, NLR, and modifled Rankin Scale scores 90 days after endovascular therapy was examined via univariate and multivariate logistic analyses. Receiver operating characteristic curves were utilized to determine the best threshold for SIRI and NLR in predicting negative neurological outcomes following endovascular treatment for patients with AIS. RESULTS: A total of 128 participants were evaluated, among which 50% had unfavorable outcomes. Linear regression analysis showed that the best threshold for SIRI was >1.407 (odds ratio = 1.265; 95% confidence interval, 1.071-1.493; P = 0.006), and for NLR it was >5.347 (odds ratio = 1.088; 95% confidence interval, 1.007-1.175; P = 0.033). These results revealed NLR and SIRI as significant predictors of unfavorable outcomes at 90 days. The area under the curve for SIRI and NLR in predicting 90-day adverse outcomes was 0.643 and 0.609, respectively. CONCLUSIONS: Higher SIRI and NLR levels at admission may lead to unfavorable outcomes at 90 days for AIS patients with endovascular therapy.

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INTRODUCTION: The systemic inflammatory response index (SIRI) is a novel indicator of systemic inflammation derived from the absolute counts of neutrophils, monocytes, and lymphocytes. The aim of this meta-analysis was to evaluate the association between SIRI and functional outcome in patients with acute ischemic stroke (AIS). METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed in this meta-analysis. Relevant cohort studies were retrieved by a search of electronic databases including PubMed, Web of Science, Embase, Wanfang, and China National Knowledge Infrastructure from database inception to February 9, 2024. A poor functional outcome was defined as a modified Rankin Scale ≥ 3 within 3 months after disease onset. A random-effects model was used to combine the data by incorporating the influence of between-study heterogeneity. The protocol of the meta-analysis was not prospectively registered in PROSPERO. RESULTS: Fourteen cohort studies were included. Pooled results showed that a high SIRI at admission was associated with increased risk of poor functional outcome within 3 months (odds ratio [OR]: 1.57, 95% confidence interval: 1.39 to 1.78, p < 0.001; I2 = 0%). Results of the meta-regression analysis suggested that the cutoff for defining a high SIRI was positively related to the OR for the association between SIRI and the risk of poor functional outcome (coefficient = 0.13, p = 0.03), while other variables including sample size, mean age, severity of stroke at admission, percentage of men, current smokers, or patients with diabetes did not significantly modify the results. Subgroup analyses according to study design, main treatments, and study quality scores showed similar results. CONCLUSION: A high SIRI may be associated with a poor functional outcome in patients after AIS.

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BACKGROUND: Patients 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. METHODS: A 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. RESULTS: Of 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. CONCLUSION: Our 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.

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OBJECTIVES: To uncover the predictive value of systemic immune-inflammatory index (SII) and systemic inflammatory response index (SIRI) on early pregnancy loss. METHODS: A total of 535 individuals were enrolled in this retrospective analysis. The early pregnancy losses (EPL) group included patients between 18-35 years old who experienced EPL. The control group comprised healthy pregnant women who gave birth at ≥37 weeks. RESULTS: The EPL group had significantly lower plateletcrit (p=0.04), platelet distribution width (PDW, p<0.0001), and RDW (p<0.0001) and higher monocyte (p<0.0001) and SIRI (p<0.0001) values than the control group. The hemoglobin, white blood cells, platelet count, neutrophil count, lymphocyte count, mean platelet volume, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and SII values were not significantly different between the EPL and control groups (p>0.05). The cut-off value for the SIRI that offers the best sensitivity/specificity balance was 1.48 (sensitivity of 63%; specificity of 63%) in the receiver operating characteristics curve. Among the inflammatory parameters for predicting EPL, PDW had highest specificity (84%), and RDW had the highest sensitivity (80%). CONCLUSION: This study provides compelling evidence that various inflammatory pathways may significantly contribute to EPL pathogenesis. Moreover, our findings suggest that SIRI could be a more effective marker than NLR, PLR, MLR, and SII in predicting EPL in an ongoing pregnancy, thereby potentially revolutionizing early pregnancy loss diagnostics.

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Background: The development of chronic obstructive pulmonary disease (COPD) following tuberculosis (TB) is known as tuberculosis-associated obstructive pulmonary disease (TOPD). This study aimed to explore the predictive value of inflammatory indicators for TOPD in TB patients. Methods: Data for this cross-sectional study were collected between January 2014 and January 2022 at Wuhan Jinyintan Hospital. The ratio of inflammatory indicators, including Systemic Inflammatory Response Index (SIRI), C-reactive protein-to-lymphocyte ratio (CLR), eosinophil count-to-lymphocyte count ratio (ELR), were calculated. Univariate and multivariate logistic regression analyses were conducted to explore the association between the ratio of inflammatory indicators and TOPD. Furthermore, the relationship between the ratio of inflammatory indicators and TOPD was investigated using propensity score matching (PSM) and receiver operating characteristic (ROC) curve analysis was performed to evaluate their predictive value for TOPD. Results: The present study included a total of 737 patients, of whom 83 participants (11.26%) had TOPD. Sixty-nine TOPD patients and 69 non-TOPD (NTOPD) patients were successfully matched. Univariate and multivariable logistics regression analysis, conducted before and after PSM, revealed that SIRI was independently significantly associated with an increased risk of TOPD. The area under curve (AUC) of SIRI were 0.702 and 0.668 before and after PSM, respectively. Additionally, patients were stratified into four different groups based on SIRI quartiles for further analysis. The prevalence of TOPD in TB patients showed an increase with higher SIRI values, both before and after PSM. Conclusion: Levels of inflammatory indicators were higher in TOPD patients when compared to NTOPD patients. SIRI may be a simple and useful inflammatory index for assessing TOPD, and TB patients with higher values of SIRI are more likely to be high-risk group for TOPD.

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Objective: Immunoinflammatory response can participate in the development of cancer. To investigate the relationship between pretreatment systemic immune inflammatory response index (SII), systemic inflammatory response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and lymph node metastasis in patients with papillary thyroid carcinoma (PTC). Methods: A retrospective analysis was performed on 547 PTC patients treated in Meizhou People's Hospital from January 2018 to December 2021. Clinicopathological data were collected, including gender, age, Hashimoto's thyroiditis, maximum tumor diameter, extra-membrane infiltration, disease stage, BRAF V600E mutation, pretreatment inflammatory index levels, and lymph node metastasis. The optimal cutoff values of SII, SIRI, NLR, PLR and LMR were calculated by receiver operating characteristic (ROC) curve, and the relationship between inflammatory indexes and other clinicopathological features and lymph node metastasis was analyzed. Results: There were 303 (55.4%) PTC patients with lymph node metastasis. The levels of SII, SIRI, NLR, and PLR in patients with lymph node metastasis were significantly higher than those in patients without lymph node metastasis, while the levels of LMR were significantly lower than those in patients without lymph node metastasis (all p<0.05). When lymph node metastasis was taken as the endpoint, the critical value of SII was 625.375, the SIRI cutoff value was 0.705, the NLR cutoff value was 1.915 (all area under the ROC curve >0.6). The results of regression logistic analysis showed that age <55 years old (OR: 1.626, 95% CI: 1.009-2.623, p=0.046), maximum tumor diameter >1cm (OR: 2.681, 95% CI: 1.819-3.952, p<0.001), BRAF V600E mutation (OR: 2.709, 95% CI: 1.542-4.759, p=0.001), SII positive (≥625.375/<625.375, OR: 2.663, 95% CI: 1.560-4.546, p<0.001), and NLR positive (≥1.915/<1.915, OR: 1.808, 95% CI: 1.118-2.923, p=0.016) were independent risk factors for lymph node metastasis of PTC. Conclusion: Age <55 years old, maximum tumor diameter >1cm, BRAF V600E mutation, SII positive, and NLR positive were independent risk factors for lymph node metastasis in PTC.

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BACKGROUND: The systemic inflammatory response index (SIRI), a straightforward and easily accessible measure of inflammation and prognosis, has drawn more attention lately. It is unknown, however, if SIRI is important for IgA nephropathy (IgAN) patients' outcomes. To better clarify these concerns, we conducted this investigation. METHOD: This retrospective study involved 981 patients with biopsy-confirmed IgAN from West China Hospital of Sichuan University between 2008 and 2019. The patients were divided into two groups based on the SIRI's optimal cut-off value calculated by the X-tile: the low SIRI group (SIRI ≤ 0.63, n = 312) and the high SIRI group (SIRI > 0.63, n = 669). Basic clinical characteristics at the time of renal biopsy were evaluated, and the relationship between SIRI and the combined endpoint was analyzed. We also used the Cox proportional hazard model and Kaplan‒Meier curve to evaluate the renal prognosis of IgAN. RESULTS: A total of 981 IgAN patients were included. During a median follow-up period of 56.7 months (36.8-80.4 months), 122 patients progressed to the combined endpoint (12.4%). Patients were divided into a low SIRI group (SIRI ≤ 0.63, n = 312) and a high SIRI group (SIRI > 0.63, n = 669) according to the optimal cut-off value of the systemic inflammatory response index (SIRI). Further analysis showed that a higher SIRI value was significantly associated with the risk of IgAN patients reaching the composite endpoint (HR 1.62, 95% CI 1.02-2.56, p = 0.041). CONCLUSION: High SIRI is a significant and independent risk factor for renal disease progression in IgAN patients.

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Background: The systemic inflammatory response index (SIRI) is a novel composite biomarker of inflammation. However, there is limited information on its use in the context of osteoporotic fractures. Hence, this study aimed to investigate the association between baseline SIRI values and bone turnover markers (BTMs) in Chinese patients diagnosed with osteoporotic fractures (OPFs), to offer a more precise method for assessing bone health and inflammation in clinical settings. Methods: A retrospective cross-sectional study was conducted on 3,558 hospitalized patients with OPFs who required surgery or hospitalization at the First People's Hospital of Kunshan City from January 2017 to July 2022. Baseline measurements of SIRI, ß-CTX (beta-C-terminal telopeptide of type I collagen), and P1NP (procollagen type I N-terminal propeptide) were obtained. The analyses were adjusted for variables, including age, sex, body mass index (BMI), and other initial laboratory and clinical findings. Furthermore, multivariable logistic regression, smooth curve fitting, and threshold analysis were also performed. Results: The results revealed a negative correlation between baseline SIRI values and both ß-CTX and P1NP levels. After adjusting for covariates in the regression analysis, each unit increase in SIRI was found to be inked to a reduction of 0.04 (ß = -0.04; 95% confidence interval [CI], -0.05 to -0.03; with p-value <0.001) in ß-CTX levels and a decrease of 3.77 (ß = 3.77; 95% CI, 5.07 to 2.47; with p-value <0.001) in P1NP levels. Furthermore, a curvilinear relationship and threshold effect were also identified. Turning points were identified at SIRI values of 1.41 and 1.63 on the adjusted smooth curve. Conclusion: The results showed a negative correlation between the baseline SIRI value and ß-CTX level, as well as the level of P1NP. This suggests a possible link between the systemic inflammatory response and reduced bone metabolism. If these findings are verified, SIRI has the potential to function as a predictive indicator for BTMs. Nevertheless, additional research is necessary to verify these findings.

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BACKGROUND: The diagnostic accuracy of suspicious lesions that are classified as PI-RADS 3 in multiparametric prostate magnetic-resonance imaging (mpMRI) is controversial. This study aims to assess the predictive capacity of hematological inflammatory markers such as neutrophil-lymphocyte ratio (NLR), pan-immune-inflammation value (PIV), and systemic immune-response index (SIRI) in detecting prostate cancer in PI-RADS 3 lesions. METHODS: 276 patients who underwent mpMRI and subsequent prostate biopsy after PI-RADS 3 lesion detection were included in the study. According to the biopsy results, the patients were distributed to two groups as prostate cancer (PCa) and no cancer (non-PCa). Data concerning age, PSA, prostate volume, PSA density, PI-RADS 3 lesion size, prostate biopsy results, monocyte counts (109/L), lymphocyte counts (109/L), platelet counts (109/L), neutrophils count (109/L) were recorded from the complete blood count. From these data; PIV value is obtained by monocyte × neutrophil × platelet/lymphocyte, NLR by neutrophil/lymphocyte, and SIRI by monocyte number × NLR. RESULTS: Significant variations in neutrophil, lymphocyte, and monocyte levels between PCa and non-PCa patient groups were detected (p = 0.009, p = 0.001, p = 0.005 respectively, p < 0.05). NLR, PIV, and SIRI exhibited significant differences, with higher values in PCa patients (p = 0.004, p = 0.001, p < 0.001 respectively, p < 0.05). The area under curve of SIRI was 0.729, with a cut-off value of 1.20 and with a sensitivity 57.70%, and a specificity of 68.70%. CONCLUSION: SIRI outperformed NLR and PIV in detecting PCa in PI-RADS 3 lesions, showcasing its potential as a valuable biomarker. Implementation of this parameter to possible future nomograms has the potential to individualize and risk-stratify the patients in prostate biopsy decision.

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BACKGROUND: Periprosthetic joint infection (PJI) is an extremely damaging complication that can occur after total knee arthroplasty (TKA). There is no study in the literature investigating the relationship between systemic inflammatory response index (SIRI) and systemic inflammation immune index (SII) values and prognosis and infection in patients who have undergone TKA. The aim of the study was to determine the relationship between the inflammatory index values and the rate of PJI in patients who had previously had TKA. METHODS: A total of 187 patients who underwent TKA between 2015 and 2023 years were retrospectively analyzed. RESULTS: The median value of the postoperative SII index was 1862.3 (1146.6-2630.4) in the infected group, while it was 1058.2 (605.0-1762.8) in the non-infected group (p < 0.001). In the infected group, the median value of preoperative SIRI was observed as 2.3 (1.7-3.5), while in the non-infected group it was 0.9 (0.7-1.5) (p < 0.001). The cutoff value for postoperative SIRI was observed to be 2.19, with a sensitivity value of 95%, a specificity value of 46%, the AUC value observed was 65%. The cutoff value for the postoperative SII index was observed to be 1058.96, with a sensitivity value of 100%, a specificity value of 50%. CONCLUSIONS: Our study has associated the inflammatory markers SIRI, SII, neutrophil lymphocyte ratio, and platelet lymphocyte ratio with PJI, which are easy and inexpensive to obtain. There is no widely recognized serum biomarker that can be used alone with good sensitivity and specificity. This study contributes to finding the gold standard inflammatory marker for diagnosing PJI.

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Purpose: Comparing the efficacy and safety of programmed cell death protein-1 (PD-1) inhibitors combined with tyrosine kinase inhibitors (TKIs) with or without hepatic artery infusion chemotherapy (HAIC) in HBV-related advanced HCC and exploring prognostic predictors of the combined regimen. Patients and Methods: A total of 194 patients diagnosed with HBV-related advanced HCC between 2020 and 2022 were included in the study, including 99 in the HAIC combined with PD-1 inhibitors plus TKIs (HPT group) and 95 in the PD-1 inhibitors plus TKIs (PT group). The efficacy was evaluated according to the tumor response rate and survival, and the safety was evaluated according to the adverse events. Results: The HPT group showed higher overall response rate and disease control rate than the PT group. The median overall survival (OS) of the HPT group and the PT group were 18.10 months and 12.57 months, respectively, and the difference was statistically significant (hazard ratio (HR) = 0.519, 95% confidence interval (CI): 0.374-0.722, P < 0.001). The median progression-free survival (PFS) was 9.20 months in the HPT group and 6.33 months in the PT group (HR = 0.632, 95% CI: 0.470-0.851, P = 0.002). In addition, albumin bilirubin (ALBI) and systemic inflammatory response index (SIRI) are independent prognostic factors affecting HAIC combined with targeted immunotherapy and can be used as prognostic predictors. Almost all patients included in the study experienced treatment-related adverse events (TRAEs) of varying degrees of severity, with grade 1-2 adverse events predominating. Conclusion: The HPT group had better OS and PFS than the PT group in patients with HBV-related advanced HCC. In addition, high ALBI and high SIRI were associated with poor prognosis in the HAIC combined group.

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OBJECTIVES: Placental abruption (PA) is associated with adverse maternal and neonatal outcomes and has an etiological mechanism that is not yet fully understood. The prediction of PA, which has been the subject of numerous studies, remains a challenge. In particular, there is evidence that PA can be considered a chronic process. So, this study aimed to show inflammatory biomarkers based on complete blood count parameters may be used to predict PA. STUDY DESIGN: A sample of 110 cases (pregnant women with PA) and 110 controls (healthy pregnant women with spontaneous labor) were required the study. The present case-control study included a total of 220 pregnant women. Inflammatory makers were used to evaluate the PA prediction RESULTS: Increases in body mass index, mean corpuscular volume and paletelet lymphocyte ratio are considered protective factors, while increases in neutrophil, the systemic inflammatory response index, neutrophil lymphocyte ratio and the pan-immune inflammation score are considered risk factors. Each 1 unit increase in neutrophil count increases the risk of a PA diagnosis by 1.81 times. CONCLUSION: Recent studies indicate a strong heterogeneity of clinical courses leading to PA in premature and term births. In the present study, our results showed that, inflammation is associated with PA.

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Background and Aim: Accurate prediction of severe acute pancreatitis (SAP) is crucial for timely intervention. This study focuses on the Systemic Inflammatory Response Index (SIRI) to assess its clinical value in predicting the severity of AP in the Vietnamese context. Methods: A cross-sectional prospective study was conducted with acute pancreatitis patients at a national hospital in Ho Chi Minh City. The patients were classified into nonsevere and severe groups, and the clinical characteristics were analyzed. The predictive abilities of SIRI, calculated using neutrophil × monocyte/lymphocyte, was assessed for predictive abilities. Multivariate regression and receiver operating characteristics (ROC) curves evaluated the prognostic factors and predictive accuracy. Results: Among 207 patients, 78.7% had nonsevere AP, and 21.3% had SAP. The severe group exhibited a significantly higher median SIRI (12.0) than the nonsevere group (4.9) (P < 0.001). Multivariate regression identified SIRI (odds ratio [OR] = 1.623) as an independent predictor of SAP. The ROC curve determined a SIRI cutoff of 7.82 with an area under the curve (AUC) of 0.737. Combining the SIRI and Bedside Index for Severity in Acute Pancreatitis (BISAP) score improved the predictive ability (AUC = 0.820) with increased sensitivity (90.91%) (P < 0.001). Conclusion: SIRI, particularly when combined with the BISAP score, shows significant potential to predict SAP severity in the Vietnamese clinical setting, providing valuable information for effective patient management.

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INTRODUCTION: The contribution of individual and combined inflammatory markers for the prognosis of acute ischemic stroke (AIS) remains elusive. This study investigated the effect of systemic inflammatory response index (SIRI), and neutrophil to high-density lipoprotein ratio (NHR), which is mediated by fasting blood glucose (FBG), on 90-day prognosis of patients with AIS. METHODS: In this pre-specified substudy of an observational cohort study, 2,828 patients with AIS were enrolled from the Nanjing Stroke Registry between January 2017 and July 2021. Peripheral venous blood was collected from patients fasting for at least 8 h within 24 h of admission to gather information on the following parameters: neutrophil count, lymphocyte count, monocyte count, HDL level, and fasting blood glucose level. Then, the SIRI and NHR values were calculated. Following this, the correlation among SIRI, NHR, and modified Rankin Scale (mRS) scores 90 days after onset was examined via univariate and multivariate logistic analyses. Lastly, mediation analysis was performed to examine the relationship between systematic inflammatory response and study outcomes mediated by FBG. RESULTS: SIRI and NHR were both negatively correlated with clinical outcomes (p < 0.05). Logistic regression analysis revealed that SIRI and NHR were independently associated with poor outcomes after adjusting for potential confounders. Subgroup analyses further validated these correlations. Meanwhile, mediation analysis corroborated that FBG partially mediated the associations between SIRI and a poor prognosis at 90 days (indirect effect estimate = 0.0038, bootstrap 95% CI 0.001-0.008; direct effect estimate = 0.1719, bootstrap 95% CI 0.1258-0.2179). Besides, FBG also played a mediating role between NHR and poor outcomes (indirect effect estimate = 0.0066, bootstrap 95% CI 0.002-0.120; direct effect estimate = 0.1308, bootstrap 95% CI 0.0934-0.1681). CONCLUSION: Our study demonstrated that SIRI and NHR are positively associated with poor clinical and mortality outcomes at 90 days in AIS patients, which was partially mediated by FBG.

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Background: The systemic inflammatory response index (SIRI) is a novel inflammatory-immune biological marker that has prognostic value in various cardiovascular diseases. This study aims to investigate the relationship between SIRI and short-term and long-term prognosis in patients with acute type A aortic dissection (AAAD) underwent surgical treatment. Methods: We conducted a retrospective analysis of patients with AAAD who underwent emergency surgical treatment at our center. Through multifactorial logistics regression analysis and cox proportional hazards regression analysis, we identified SIRI as an independent risk factor for major adverse events (MAEs) and long-term aorta-related adverse events (ARAEs) post-surgery. The optimal cutoff value of preoperative SIRI was determined using receiver operating characteristic (ROC) curve analysis, and patients were divided into low SIRI group and high SIRI group. The prognostic outcomes at different time points post-surgery for the two groups of patients were analyzed using Kaplan-Meier survival analysis, and the significance was determined by log-rank test. Results: A total of 691 AAAD patients were included in this study. Among them, 50 patients (7.2%) died within 30 days post-surgery, and 175 patients (25.3%) experienced MAEs. A total of 641 patients were followed up, with an average follow-up time of 33.5 ± 17.5 months, during which 113 patients (17.6%) experienced ARAEs. The results of multifactorial logistics regression analysis and cox proportional hazards regression analysis showed that SIRI was an independent risk factor for postoperative MAEs (OR=3.148, 95%CI[1.650-6.006], p<0.001) and ARAEs (HR=2.248, 95%CI[1.050-4.809], p<0.037). Kaplan-Meier analysis demonstrated that the MAEs-free survival in the high SIRI group was significantly lower than that in the low SIRI group, and a similar trend was observed in the ARAEs-free survival during follow-up (log-rank test, p<0.001). Conclusion: Preoperative SIRI is significantly associated with the short-term and long-term prognosis of AAAD patients underwent emergency open surgery, demonstrating its valuable prognostic value. Therefore, preoperative SIRI is a reliable biological marker that can serve as a valuable tool for preoperative risk stratification and decision management.

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OBJECTIVES: This study sought to investigate the relationship between the systemic inflammatory response index (SIRI) and bone mineral density (BMD), osteoporosis, and future fracture risk in elderly hypertensive patients. METHODS: Elderly hypertensive patients (age ≥60 years) who attended our hospital between January 2021 and December 2023 and completed BMD screening were included in the study. Analyses were performed with multivariate logistic and linear regression. RESULTS: The multiple linear regression indicated that SIRI levels were significantly negatively correlated with lumbar 1 BMD (ß = -0.15, 95% CI: -0.24, -0.05), lumbar 2 BMD (ß = -0.15, 95% CI: -0.24, -0.05), lumbar 3 BMD (ß = -1.35, 95% CI: -0.23, -0.02), lumbar 4 BMD (ß = -0.11, 95% CI: -0.30, -0.10), femur neck BMD (ß = -0.11, 95% CI: -0.18, -0.05) and Ward's triangle BMD (ß = -0.12, 95% CI: -0.20, -0.05) among elderly hypertensive patients, after fully adjusting for confounders. Furthermore, we observed that SIRI was positively associated with future fracture risk in elderly hypertensive patients. Specifically, SIRI was associated with an increased risk of major osteoporotic fractures (ß = 0.33) and hip fractures (ß = 0.25). The logistic regression analysis indicated that there is an association between the SIRI level and an increased risk of osteoporosis (OR = 1.60, 95% CI = 1.37, 1.87), after fully adjusting for confounders. CONCLUSIONS: Our findings indicate a potential association between SIRI and BMD, osteoporosis, and the risk of future fractures in elderly hypertensive patients. However, further studies are warranted to confirm these findings.

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