Modification, validation and comparison of Naples prognostic score to determine in-hospital mortality in ST-segment elevation myocardial infarction.

AIM: The relationship between inflammatory status and poor outcomes in acute coronary syndromes is a significant area of current research. This study investigates the association between in-hospital mortality and the modified Naples prognostic score (mNPS) as well as other inflammatory biomarkers in STEMI patients. METHODS: This single-centre, cross-sectional study included 2576 consecutive STEMI patients who underwent primary percutaneous coronary intervention between January 2022 and November 2023. Participants were randomly divided into derivation and validation cohorts in a 6:4 ratio. The following inflammatory indices were calculated: pan-immune-inflammation value (PIV), systemic immune-inflammation-index (SII), systemic inflammation-response index (SIRI) and conventional NPS. The mNPS was derived by integrating hs-CRP into the conventional NPS. The performance of these indices in determining in-hospital mortality was assessed using regression, calibration, discrimination, reclassification and decision curve analyses. RESULTS: Inflammatory biomarkers, including PIV, SII, SIRI, NPS and mNPS, were significantly higher in patients who died during in-hospital follow-up compared to those discharged alive in both the derivation and validation cohorts. Multivariable logistic regression analyses were performed separately for the derivation and validation cohorts. In the derivation cohort, mNPS was associated with in-hospital mortality (aOR = 1.490, p < .001). Similarly, in the validation cohort, mNPS was associated with in-hospital mortality (aOR = 2.023, p < .001). mNPS demonstrated better discriminative and reclassification power than other inflammatory markers (p < .05 for all). Additionally, regression models incorporating mNPS were well-calibrated and showed net clinical benefit in both cohorts. CONCLUSION: mNPS may be a stronger predictor of in-hospital mortality in STEMI patients compared to the conventional scheme and other inflammatory indices.

Pre-treatment systemic inflammation response index and systemic immune inflammation in patients with primary central nerve system lymphoma as a useful prognostic indicator.

PURPOSE: The systemic inflammation response index (SIRI) and systemic immune-inflammation index (SII) are based on neutrophil, monocyte, platelet, and lymphocyte counts. The SIRI and SII are used to predict the survival of patients with malignant tumors. It is well known that the inflammatory immune response is closely related to cancer occurrence and progression. In the present study, we evaluated the potential prognostic significance of SIRI and SII in patients with primary central nervous system lymphoma (PCNSL). METHODS: Fifty-eight consecutive patients were enrolled in this study between November 2006 and May 2022. Among the 58 patients, 47 patients with sufficient blood test data and follow-up were analyzed. The patients with steroid intake at the time point of the blood test and higher C-reactive protein were excluded. RESULTS: The median follow-up and survival times were 31 and 36 months, respectively. The optimal cutoff SIRI value was based on the receiver operating characteristic curve (ROC) for overall survival (OS) and stratified patients into low (< 1.43 × 109/L, n = 22) and high (≥ 1.43 × 109/L, n = 25) SIRI groups. The optimal cutoff SII value based on the ROC for OS stratified patients into low (< 694.9, n = 28) and high (≥ 694.9, n = 19) SII groups. A low SIRI value was associated with longer OS (p = 0.006). Furthermore, a low SII value was associated with longer OS (p = 0.044). The prognostic factors associated with prolonged survival in univariate analysis using the Cox proportional hazard model were age < 65 years, low SIRI, and low SII. The multivariate analysis demonstrated that age < 65 years and low SIRI independently predicted longer OS. CONCLUSION: Simple, less expensive, and routinely ordered preoperative blood count assessments such as SIRI and SII predict the OS of patients with PCNSL. This study demonstrated that PCNSL is associated with pre-treatment systemic immune-inflammation states.

Association of systemic immune-inflammation index and systemic inflammation response index with chronic kidney disease: observational study of 40,937 adults.

BACKGROUND: Chronic kidney disease (CKD) is linked to immunity and inflammation. Systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are novel measures for gauging an individual's systemic inflammatory activity. We aim to investigate the potential associations between them. METHODS: This study encompassed a cohort of 40,937 adults from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. SII and SIRI were log2-transformed before conducting regression analysis, considering that these inflammatory markers were right skewed distributed. Weighted logistic regression models assessed the association of log2-SII and log2-SIRI levels with CKD prevalence. Weighted Cox regression models were utilized to estimate the risk of death. Subgroup analyses were performed to further clarify the effects of other covariates on the associations. Sensitivity analyses were performed to assess the robustness of our results. RESULTS: 6986 participants with CKD were recorded, and 2818 patients died during a mean follow-up time of 100 months. After adjusting for all covariates, the highest level of log2-SII increased the CKD incidence (odds ratio [OR]: 1.47, 95% confidence intervals [CI]: 1.32-1.65, P < 0.001), as well as log2-SIRI (OR: 1.79, 95% CI 1.60-2.01, P < 0.001) when compared with the lowest level reference group. The highest level of log2-SII significantly increased all-cause mortality (hazard risk [HR]: 1.29; 95% CI 1.13-1.48, P < 0.001), cardiovascular mortality (HR: 1.61, 95% CI 1.25-2.09, P < 0.001), and hypertension mortality (HR: 1.73, 95% CI 1.23-2.42, P = 0.001) in CKD patients. Additionally, the positive associations were also found between log2-SIRI and all cause (HR: 1.54, 95% CI 1.35-1.76, P < 0.001), cardiovascular (HR: 1.90, 95% CI 1.38-2.60, P < 0.001), and hypertension mortality (HR: 2.15, 95% CI 1.56-2.94, P < 0.001). Subgroup analyses unveiled variations in these effects among different populations. CONCLUSION: There existed a substantial association of SII and SIRI levels with CKD prevalence, as well as mortality in patients with CKD in the U.S.

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 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.

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.

Neutrophil-lymphocyte ratio on first and third postoperative days: associated with severe pneumonia in aneurysmal subarachnoid hemorrhage patients undergoing surgeries.

Severe postoperative pneumonia can increase the risk of poor outcomes in patients with aneurysmal subarachnoid hemorrhage (aSAH). We aimed to explore the associations of preoperative or postoperative inflammatory markers calculated from blood cell counts with severe pneumonia. This retrospective study was conducted at the First Affiliated Hospital of Yangtze University from January 2019 to June 2023. The associations of neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) with severe pneumonia were analyzed. There were 159 patients with pneumonia and 21 patients without pneumonia. There were 41 patients with severe pneumonia and 118 patients with non-severe pneumonia. The multivariate logistic regression analysis showed that NLR on the first postoperative (OR = 2.574, 95%CI: 1.035-6.403, p = 0.042) and third postoperative days (OR = 4.296, 95%CI: 1.699-10.860, p = 0.002) were associated with severe pneumonia in aSAH patients. Among patients ≥ 60 years, SIRI on the preoperative day (OR = 7.430, 95%CI: 1.443-38.251, p = 0.016) and NLR on the third postoperative day (OR = 4.748, 95%CI: 1.286-17.801, p = 0.020) were associated with severe pneumonia. Among patients < 60 years, NLR on the first postoperative day (OR = 24.149, 95%CI: 3.476-167.747, p = 0.001) was associated with severe pneumonia. The NLR on the first and third postoperative days were possibly associated with severe pneumonia in aneurysmal subarachnoid hemorrhage patients undergoing clipping or embolization surgeries. Dynamic detection of NLR during early perioperative period may help clinicians to predict the development of severe pneumonia.

A predictive survival model for patients with stage IV oropharyngeal squamous cell carcinoma treated with chemoradiation.

PURPOSE: To evaluate the pre-treatment and post-treatment clinical factors associated with rate of survival at 1, 3, and 5 years in stage IV oropharyngeal cancer patients treated with concurrent chemoradiation with/without neoadjuvant chemotherapy. METHODS: This retrospective cohort study involved 128 Stage IV oropharyngeal cancer patients that were treated at our tertiary referral center between 2008 and 2020. The pre-treatment and post-treatment clinical parameters including nutritional status and inflammatory markers were retrospectively reviewed. RESULTS: The 5-year overall survival rate for all patients was 36.72%. The disease-specific survival (DSS) at 1-year and 3-year were 80% and 63%, whereas the disease-free survival (DFS) at 1-year and 3-year were 49% and 40%, respectively. In multivariate analyses, pretreatment hemoglobin (Hb) < 12 g/dL (hazard ratio [HR] 2.551, 95% confidence interval [CI] 1.366-4.762, p = 0.003), pretreatment systemic immune inflammation (SII) ≥ 1751 (HR 2.173, 95% CI 1.015-4.652, p = 0.046), and posttreatment systemic inflammation response index (SIRI) ≥ 261 (HR 2.074, 95% CI 1.045-4.115, p = 0.037) were independent indicators for worsened DSS. Pretreatment Hb < 12 g/dl (HR 1.692, 95% CI 1.019-2.809, p = 0.032), pretreatment SII ≥ 1751 (HR 1.968, 95% CI 1.061-3.650, p = 0.032), and posttreatment SII ≥ 1690 (HR 1.922, 95% CI 1.105-3.345, p = 0.021) were independent indicators for worsened DFS. A nomogram was developed using pretreatment Hb, pretreatment SII, and posttreatment SIRI to forecast DSS. CONCLUSIONS: The pretreatment Hb, pretreatment SII, posttreatment SII, and posttreatment SIRI are associated with survival in patients with stage IV oropharyngeal cancers. The developed nomogram aids in survival prediction and treatment adjustment.

Predictive effect of the systemic inflammation response index (SIRI) on the efficacy and prognosis of neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer.

BACKGROUND: Inflammation is a part of tumours, and inflammatory cells can affect the proliferation, invasion, and development of tumour cells. An increasing number of peripheral blood inflammatory markers have been found to play very important roles in the treatment and prognosis of cancer patients. The systemic inflammatory response index (SIRI) is a newer inflammatory marker, and its role in colorectal cancer, especially in locally advanced rectal cancer, is still unclear. METHODS: From 2015 to 2020, 198 patients with locally advanced rectal cancer (LARC) who underwent surgery following neoadjuvant chemoradiotherapy (Neo-CRT) were analysed. Patients were categorized into good- and poor- response groups according to their pathological results, and clinical characteristics and baseline parameters were compared between the two groups. The optimal cutoff values for inflammatory indicators were determined using receiver operating characteristic (ROC) analysis. Univariate and multivariate analyses were performed using the Cox proportional hazard model. Survival analysis was performed via the Kaplan‒Meier method. RESULTS: After patients were grouped into good and poor response groups, indicator differences were found in CEA, neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and SIRI. According to the ROC analysis, the NLR (P = 0.015), SII (P = 0.001), and SIRI (P = 0.029) were significant prognostic factors. After univariate and multivariate analyses of the Cox proportional hazards regression model, only the SIRI was found to be an independent prognostic factor for overall survival (OS) and disease-free survival (DFS). Finally, Kaplan‒Meier survival curves also confirmed the ability of the SIRI to predict survival. CONCLUSION: The preoperative SIRI can be used to predict the response to Neo-CRT in LARC patients and is an independent predictor of OS and DFS in postoperative patients. A high SIRI was associated with poor radiotherapy response and predicted poor OS and DFS.

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.

The Impact of Systemic Inflammation Response Index on the Prognosis of Patients with ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention.

Background: Inflammation is essential in cardiovascular disease (CVD) development and progression. A novel inflammatory parameter, the systemic inflammation response index (SIRI), has been proven to predict cancer prognosis strongly. Little is known about the relationship between SIRI and outcomes in patients with ST-segment elevation myocardial infarction (STEMI). Methods: 1312 STEMI patients who underwent percutaneous coronary intervention (PCI) in Beijing Anzhen hospital from January 2019 to December 2021 were analyzed. SIRI was calculated as neutrophils × monocytes/lymphocytes. Our primary outcome was a 30-day major adverse event (MACE), including all-cause mortality, non-fatal myocardial infarction (MI), stroke, incident heart failure (HF), cardiogenic shock, and cardiac arrest. Results: Patients were stratified into four groups according to quartiles of SIRI: SIRI < 1.58 (n = 328), 1.58 ≤ SIRI < 3.28 (n = 328), 3.28 ≤ SIRI < 7.80 (n = 328), SIRI ≥ 7.80 (n = 328). Higher SIRI was associated with a higher incidence of the 30-day MACE. The rates of 30-day MACE were 6.1%, 8.8%, 12.8%, and 17.1% (p < 0.001) for the lowest SIRI quartile to the highest quartile, respectively. This association was consistent in the outcome of HF but no other components. Higher SIRI indicated higher 30-day MACE incidence in most participants except in those with very high inflammatory indicators. Subgroup analysis showed this correlation was consistent in various subgroups (p for interaction > 0.05). Conclusions: In patients with STEMI, higher SIRI indicated a higher incidence of 30-day MACE, except for those with very high inflammatory indicators. In most STEMI patients, SIRI might be a trustworthy indicator of short-term prognosis.

Salvage radiotherapy strategy and its prognostic significance for patients with locoregional recurrent cervical cancer after radical hysterectomy: a multicenter retrospective 10-year analysis.

OBJECTIVE: We aimed to evaluate the clinical efficacy and prognostic significance of intensity-modulated radiotherapy (IMRT)-based salvage concurrent chemoradiotherapy (CCRT) for patients with locoregional recurrence cervical cancer after radical hysterectomy and evaluated two salvage radiotherapy modes-regional RT (involved-field RT combined with regional lymph nodes) and local RT (involved-field RT). METHODS: Patients were enrolled retrospectively from January 2011 to January 2022 in three medical centers. Clinical outcomes were analyzed using the Kaplan-Meier method and a Cox proportional hazards model. Propensity score (PS) matching analysis was used to compare the two RT groups. RESULTS: There were 72 patients underwent IMRT-based salvage CCRT. The 5-year overall survival and progression-free survival rates were 65.9% and 57.6%, respectively. Univariate analysis showed that patients with stump recurrence, a lower systemic inflammation response index (SIRI), only one metastatic lesion, and received regional RT had better prognosis than their counterparts. In multivariate analysis, recurrence site was the independent prognostic factor of OS, and SIRI was that of PFS. After PS matching, there were 15 patients each in the regional RT group and local RT group. The 5-year OS rate of regional RT group was better than that of local RT group (90.9 vs. 42.4, p = 0.021). However, there was no significant difference between them in terms of PFS rate (47.1 vs. 38.1, p = 0.195). CONCLUSION: Locoregional recurrent cervical cancer treated with IMRT-based salvage therapy has a good prognosis. Recurrence site and SIRI were independent prognostic factors. Regional RT may be a better option for patients with locoregional recurrent.

Prognostic significance of the systemic inflammation response index in gastrointestinal malignancy patients: a pooled analysis of 10,091 participants.

Background: We performed a meta-analysis to investigate the association of the systemic inflammation response index (SIRI) with long-term survival outcomes in patients with gastrointestinal malignancy. Methods: PubMed, Web of Science and Embase were searched for relevant studies evaluating the prognostic significance of the SIRI in gastrointestinal malignancies until May 2023. Results: 30 studies with 10,091 patients were included. The pooled results identified that patients in the high SIRI group had a worse overall survival and disease-free survival, which was observed across various tumor types, tumor stages and primary treatments. Conclusion: An elevated SIRI is negatively associated with worse survival outcomes of gastrointestinal malignancy patients and can be used as a risk stratification index for gastrointestinal malignancies.

Predictive Ability of Systemic Inflammation Response Index for the Risk of Pneumonia in Patients with Acute Ischemic Stroke.

INTRODUCTION: Several studies have examined the crucial role of inflammatory indexes such as the ratio of monocyte and lymphocyte (MLR), systemic-immune-inflammation-index, and the ratio of neutrophil and lymphocyte (NLR) in stroke-associated pneumonia (SAP). However, the function of the systemic inflammation response index (SIRI) in SAP is not known. This study investigated whether SIRI at admission could predict the incidence of SAP in patients with acute ischemic stroke (AIS). PATIENTS AND METHODS: 2,802 AIS patients collected from 2013 to 2021 were divided into the SAP and non-SAP groups. The predictive performance of SIRI in SAP was evaluated by the receiver operating characteristic curve. Multivariate regression analysis and the restricted cubic spline (RCS) were performed to explore the relationship between SIRI and SAP risk. RESULTS: The SIRI at admission in SAP patients was significantly higher than that in non-SAP patients (median [IQR]: 3.75 [2.05, 6.99] vs. 1.51 [0.94, 2.62], p < 0.001). SIRI had a predictive ability for predicting the incidence of SAP with area under the curve of 0.757, better than NLR and MLR (both p < 0.05). SIRI ≥2.74 was an independent risk factor for the incidence of SAP (odds ratio: 5.82, 95% confidence interval: 4.54, 7.49, p < 0.001). The RCS model showed an increasing trend of the SAP risk with the increase of SIRI. CONCLUSION: SIRI showed a good predictive value for SAP. In clinical practice, AIS patients with high SIRI levels (SIRI ≥2.74) should be aware of the risk of SAP.

Systemic immune-inflammation index may predict the acute kidney injury and prognosis in patients with spontaneous cerebral hemorrhage undergoing craniotomy: a single-center retrospective study.

BACKGROUND: The systemic immune-inflammation index (SII) is an emerging prognostic marker of cancer. We aimed to explore the predictive ability of the SII on acute kidney injury (AKI) and prognosis in patients with spontaneous cerebral hemorrhage (SCH) who underwent craniotomy. METHODS: Patients with SCH who underwent craniotomy between 2014 and 2021 were enrolled in this study. The epidemiology and predictive factors for AKI after SCH were analyzed. The prognostic factors for clinical outcomes in patients with SCH and AKI were further investigated. The prognostic factors were then analyzed using a logistic regression model and a receiver operating characteristic curve. RESULTS: In total, 305 patients were enrolled in this study. Of these, 129 (42.3%) patients presented with AKI, and 176 (57.7%) patients were unremarkable. The SII (odds ratio [OR], 1.261; 95% confidence interval [CI], 1.036-1.553; P = 0.020) values and serum uric acid levels (OR, 1.004; 95% CI, 1.001-1.007; P = 0.005) were significant predictors of AKI after SCH craniotomy. The SII cutoff value was 1794.43 (area under the curve [AUC], 0.669; 95% CI, 0.608-0.730; P < 0.001; sensitivity, 65.9%; specificity, 65.1%). Of the patients with AKI, 95 and 34 achieved poor and good outcomes, respectively. SII values (OR, 2.667; 95% CI, 1.167-6.095; P = 0.020), systemic inflammation response index values (OR, 1.529; 95% CI, 1.064-2.198; P = 0.022), and Glasgow Coma Scale (GCS) scores on admission (OR, 0.593; 95% CI, 0.437-0.805; P = 0.001) were significant in the multivariate logistic regression analysis. The cutoff SII value was 2053.51 (AUC, 0.886; 95% CI, 0.827-0.946; P < 0.001; sensitivity, 78.9%; specificity, 88.2%). CONCLUSIONS: The SII may predict AKI in patients with SCH who underwent craniotomy and may also predict the short-term prognosis of these patients.

High preoperative CEA and systemic inflammation response index (C-SIRI) predict unfavorable survival of resectable colorectal cancer.

BACKGROUND: CEA and systemic inflammation were reported to correlate with proliferation, invasion, and metastasis of colorectal cancer. This study investigated the prognostic significance of the preoperative CEA and systemic inflammation response index (C-SIRI) in patients with resectable colorectal cancer. METHODS: Two hundred seventeen CRC patients were recruited from Chongqing Medical University, the first affiliated hospital, between January 2015 and December 2017. Baseline characteristics, preoperative CEA level, and peripheral monocyte, neutrophil, and lymphocyte counts were retrospectively reviewed. The optimal cutoff value for SIRI was defined as 1.1, and for CEA, the best cutoff values were 4.1 ng/l and 13.0 ng/l. Patients with low levels of CEA (< 4.1 ng/l) and SIRI (< 1.1) were assigned a value of 0, those with high levels of CEA (≥ 13.0 ng/l) and SIRI (≥ 1.1) were assigned a value of 3, and those with CEA (4.1-13.0 ng/l) and SIRI (≥ 1.1), CEA (≥ 13.0 ng/l), and SIRI (< 1.1) were assigned a value of 2. Those with CEA (< 4.1 ng/l) and SIRI (≥ 1.1) and CEA (4.1-13.0 ng/l) and SIRI (< 1.1) were assigned a value of 1. The prognostic value was assessed based on univariate and multivariate survival analysis. RESULTS: Preoperative C-SIRI was statistically correlated with gender, site, stage, CEA, OPNI, NLR, PLR, and MLR. However, no difference was observed between C-SIRI and age, BMI, family history of cancer, adjuvant therapy, and AGR groups. Among these indicators, the correlation between PLR and NLR is the strongest. In addition, high preoperative C-SIRI was significantly correlated with poorer overall survival (OS) (HR: 2.782, 95% CI: 1.630-4.746, P < 0.001) based on univariate survival analysis. Moreover, it remained an independent predictor for OS (HR: 2.563, 95% CI: 1.419-4.628, p = 0.002) in multivariate Cox regression analysis. CONCLUSION: Our study showed that preoperative C-SIRI could serve as a significant prognostic biomarker in patients with resectable colorectal cancer.

Prognostic value of the systemic immune-inflammation index, systemic inflammation response index, and prognostic nutritional index in head and neck cancer.

PURPOSE: This study sought to investigate the prognostic value of the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and prognostic nutritional index (PNI) in patients with head and neck cancer. METHODS: The data of 310 patients with head and neck cancer who were referred to the Radiation Oncology Clinic of Sivas Cumhuriyet University Faculty of Medicine (n = 271, 87%) and to S.B.U. Dr. Abdurrahman Yurtaslan Ankara Oncology Health Practice and Research Centre (n = 39, 13%) between January 2009 and March 2020 were retrospectively analysed. At the time of diagnosis, patients' neutrophil, lymphocyte, monocyte, platelet and albumin levels were used to calculate their SII, SIRI and PNI indices. RESULTS: Multivariate analysis found the after variables to be independent prognostic factors for overall survival (OS): SII [hazard ratio (HR) 1.71, 95% confidence interval (CI) 1.18-2.47; p = 0.002] and PNI (HR 0.66, 95% CI 0.43-0.97; p = 0.038), stage (HR 2.11, 95% CI 1.07-4.16; p = 0.030), fraction technique (HR 0.49, 95% CI 0.28-0.85; p = 0.011) and age (HR 2.51, 95% CI 1.77-3.57; p = 0.001).The following variables were found to be independent prognostic factors for disease-free survival (DFS) in multivariate analysis: SII (HR 2.16, 95% CI 1.22-3.83; p = 0.008), fractionation technique (HR 0.17, 95% CI 0.004-0.64; p = 0.017) and age (HR 2.11, 95% CI 1.13-3.93; p = 0.019). CONCLUSION: This study found a high SII to be an independent poor prognostic factor for both OS and DFS, while a low PNI was found to be an independent poor prognostic factor only for OS.

The systemic inflammation indexes predict all-cause mortality in peritoneal dialysis patients.

BACKGROUND: Chronic inflammation is a common complication in peritoneal dialysis (PD) patients. The aim of this study is to investigate the capacity of aggregate index of systemic inflammation (AISI), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) to predict all-cause mortality in PD patients. METHODS: This was a single-center retrospective study. The optimal cutoff values were identified by receiver operating characteristic (ROC) curve analysis. The area under the curve (AUC) was calculated to evaluate the predictive ability of these indexes. The Kaplan-Meier curves and log-rank test were performed to estimate cumulative survival rate. Cox proportional hazards regression analyses were conducted to determine the independent prognostic power of inflammation indexes. RESULTS: A total of 369 incident PD patients were involved. During a median follow-up period of 32.83 months, 65 patients (24.2%) died. The ROC analysis indicated the largest value of AUC was obtained for SII (AUC = 0.644, 95% CI = 0.573-0.715, p < .001), followed in order by AISI (AUC = 0.617, 95% CI = 0.541-0.693, p = .003), and SIRI (AUC = 0.612, 95% CI = 0.535-0.688, p = .004). The Kaplan-Meier survival curves revealed significantly lower survival rate with higher AISI (p = .001), higher SSI (p = .001), and higher SIRI (p = .003). Even after adjustment for the confounding factors, higher AISI [hazard ratio (HR)=2.508, 95% confidence intervals (CI)=1.505-4.179, p < .001), SII (HR = 3.477, 95% CI = 1.785-6.775, p < .001), and SIRI (HR = 1.711, 95% CI = 1.012-2.895, p = .045) remained as independent predictors of all-cause mortality. CONCLUSIONS: The higher AISI, SII, and SIRI were independent indicators of all-cause mortality in PD patients. Furthermore, they could provide comparable predictive value and assist clinicians to ameliorate PD management.

Postchemoradiotherapy systemic inflammation response index predicts treatment response and overall survival for patients with locally advanced nasopharyngeal cancer.

BACKGROUND/PURPOSE: To explore the clinical utility of the systemic inflammation response index (SIRI) in the prediction of patients with poor treatment response to concurrent chemoradiotherapy (CCRT) in locally advanced nasopharyngeal cancer (NPC). METHODS: A total of 167 stage III-IVB (AJCC 7th edition) nasopharyngeal cancer patients who received CCRT were retrospectively collected. The SIRI was calculated using the following formula: SIRI = neutrophil count × monocyte count/lymphocyte count (109/L). The optimal cutoff values of the SIRI for noncomplete response were determined by receiver operating characteristic curve analysis. Logistic regression analyses were performed to identify factors predictive of treatment response. We used Cox proportional hazards models to identify predictors of survival. RESULTS: Multivariate logistic regression showed that only the posttreatment SIRI was independently associated with treatment response in locally advanced NPC. A posttreatment SIRI≥1.15 was a risk factor for developing an incomplete response after CCRT (odds ratio 3.10, 95% confidence interval (CI): 1.22-9.08, p = 0.025). A posttreatment SIRI≥1.15 was also an independent negative predictor of progression-free survival (hazard ratio 2.38, 95% CI: 1.35-4.20, p = 0.003) and overall survival (hazard ratio 2.13, 95% CI: 1.15-3.96, p = 0.017). CONCLUSION: The posttreatment SIRI could be used to predict the treatment response and prognosis of locally advanced NPC.

Prognostic value of the systemic inflammation response index in patients with aneurismal subarachnoid hemorrhage and a Nomogram model construction.

OBJECTIVE: To investigate the prognostic value of inflammatory markers, including neutrophil/lymphocyte ratio (NLR), derived neutrophil/lymphocyte ratio (dNLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), prognostic nutritional index (PNI), and systemic inflammation response index (SIRI) in patients with aneurismal subarachnoid hemorrhage (aSAH), and then develop a Nomogram prognostic model. METHODS: We analysed 178 aSAH patients who underwent surgery at Subei People's Hospital of Jiangsu province from January 2015 to December 2017. Patients were divided into two groups according to Glasgow outcome scale (GOS) score at 3 months. Univariate and multivariate analysis were used to identify the association between inflammatory markers and prognosis. Subsequently, we identified the best cutoff of SIRI for unfavorable outcome using receiver operating characteristic (ROC) curve analysis and compared the clinical data between high and low SIRI levels. We further evaluated the additive value of SIRI by comparing prognostic nomogram models with and without it. RESULTS: A total of 47 (26.4%) patients had a poor outcome. Multivariate logistic regression analysis showed that SIRI was an independent risk factor of poor outcome. The SIRI of 4.105 × 109/L was identified as the optimal cutoff value, patients with high SIRI levels had worse clinical status and higher rates of unfavorable outcome. ROC analysis showed that a nomogram model combining the SIRI and other conventional factors showed more favorable predictive ability than the model without the SIRI. CONCLUSIONS: SIRI was independently correlated with unfavorable outcome in SAH patients, and the nomogram model combining the SIRI had more favorable discrimination ability.