Indicator Of Systemic Inflammation Research Articles

Systemic inflammatory response index as a predictor of stroke-associated pneumonia in patients with acute ischemic stroke treated by thrombectomy: a retrospective study

BackgroundThe 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.MethodsWe 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.ResultsWe 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).ConclusionsSIRI 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.

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

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

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in retinal artery occlusion: a meta-analysis.

The goal of this meta-analysis is to examine the association between Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) in patients with Retinal Artery Occlusion (RAO). The analysis aims to provide insight into the potential of NLR and PLR as inflammatory biomarkers for RAO. Following PRISMA guidelines, a systematic search in PubMed, Embase, and Scopus identified eight eligible studies. The analysis assessed serum NLR and PLR levels in RAO and non-RAO groups by employing standardized mean differences (SMDs). Sensitivity analyses and publication bias were examined. The diagnostic performance of these markers was evaluated with a quantitative synthesis. The meta-analysis, involving 1,444 participants, demonstrated significantly elevated NLR (SMD = 0.88, 95% CI: 0.49-1.28, P < 0.001) and PLR (SMD = 0.45, 95% CI: 0.16-0.73, P < 0.001) levels in individuals with RAO. Significant heterogeneity was noted. Sensitivity analysis showed robustness and no significant publication bias was found. Summary results of diagnostic performance revealed promising discriminatory power for NLR and PLR. The results support a possible connection between systemic inflammation, as indicated by NLR and PLR, and the occurrence of RAO. Although there was heterogeneity, sensitivity analyses showed the findings to be robust. While immediate diagnostic applications are limited, understanding the role of NLR and PLR in the pathological process of RAO provides valuable insights for developing future predictive models, risk management approaches, and treatment strategies. Further research exploring mechanistic insights and conducting prospective studies is warranted to validate their clinical utility. What is known Retinal artery occlusion (RAO) is a serious condition with potential links to systemic inflammation and thrombosis. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are emerging inflammatory markers. What is new This is the first meta-analysis examining the association between NLR, PLR and RAO. Elevated NLR and PLR levels were observed in patients with RAO compared to controls. NLR and PLR show potential as indicators of systemic inflammation in RAO pathogenesis.

Hepatic arterial infusion chemotherapy-based conversion hepatectomy in responders versus nonresponders with hepatocellular carcinoma: A multicenter cohort study.

Hepatic arterial infusion chemotherapy (HAIC) has shown satisfactory therapeutic efficacy in unresectable hepatocellular carcinoma (HCC) and is regarded as an important conversion treatment. However, limited information is available regarding the optimal timing of HAIC-based conversion hepatectomy. This study aims to determine the optimal timing for HAIC-based conversion surgery in patients with HCC. Data from a retrospective cohort of patients who underwent HAIC-based conversion hepatectomy were reviewed. Oncological outcomes, surgical information, and risk factors were comparatively analyzed. In total, 424 patients with HCC who underwent HAIC-based conversion hepatectomy were included and were divided into responder (n=312) and nonresponder (n=112) groups. The overall survival (OS) and recurrence-free survival (RFS) rates of both the whole responder cohort and patients who achieved a response after 4-6 cycles of HAIC were significantly better than those of the nonresponder cohort. Higher OS and RFS were observed in responders than in nonresponders with advanced-stage HCC. Patients in the responder group had a shorter occlusion duration and less intraoperative blood loss than those in the nonresponder group. There were no significant differences in other surgical information or postoperative complications between the two groups. Tumor response, differentiation, postoperative alpha-fetoprotein level, postoperative protein induced by vitamin K absence or antagonist-II level, age, microvascular invasion, pre-HAIC neutrophil-to-lymphocyte ratio, and preoperative systemic inflammatory response index were independent risk factors for poor long-term survival. Conversion surgery should be considered when tumor response is achieved. Our findings may be useful in guiding surgeons and patients in decision-making regarding HAIC-based conversion hepatectomy.

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

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

System Inflammation Response Index and Serum Glucose-Potassium Ratio as Prognostic Indicators for Hemorrhagic Moyamoya Disease

Hemorrhagic moyamoya disease (HMMD) can result in poor outcomes. Serum biomarkers may play a significant role in predicting HMMD outcomes. This study retrospectively analyzed the correlation between serum biomarkers at the time of admission and outcomes for patients with HMMD. We evaluated 270 patients with HMMD admitted to Yijishan Hopital of Wannan Medical College between July 2017 and April 2023. The patients were categorized into 2 groups according to their modified Rankin Scale scores at 3months after discharge. Univariate and multivariate analyses were used to identify the associations between biomarkers and clinical outcomes. Receiver operating characteristic curves were obtained to investigate the potential of the biomarkers for predicting prognosis. Of the 270 patients analyzed, 96 (35.6%) had unfavorable outcomes. The potential predictors were identified using the univariate analysis. The subsequent multivariate logistic regression analysis showed that the systemic inflammatory response index (SIRI) (odds ratio 0.86, 95% confidence interval 0.75-0.98, P=0.028] and serum glucose to potassium ratio (GPR) (odds ratio 0.53, 95% confidence interval 0.38-0.76, P<0.001) were independent risk factors of poor outcomes. The receiver operating characteristic analysis indicated that patients with a higher SIRI (≥2.12) and GPR (≥1.75) levels were more likely to have unfavorable outcomes. An elevated GPR and SIRI at admission were associated with a poor clinical outcome at the 3-month follow-up for patients with HMMD. Therefore, these biomarkers could be considered in future management decisions for these patients.

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 of novel biomarkers of systemic inflammation with atherosclerosis and its severity

Aim. To compare the levels of novel biomarkers of systemic inflammation in pati­ents with and without atherosclerosis, as well as between groups of patients with atherosclerosis of different severity.Material and methods. Patients with suspected coronary artery disease after selective coronary angiography were included. The analysis included 901 patients with mean age of 61±10 years (men, 60% (n=549)). The patients were divided into two following groups: with and without atherosclerosis. The Propensity Score Matching method was used to adjust for baseline clinical differences.Results. In the group with atherosclerosis, the values of the systemic inflam­mation response index (SIRI), systemic immune-inflammation index (SII) and ag­gregate index of systemic inflammation (AISI) were significantly higher than in patients without atherosclerosis: 0,906 (0,632; 1,36) vs 0,745 (0,519; 1,02), p&lt;0,001; 457 (350; 641) vs 425 (313; 547), p=0,005 and 233 (148; 346) vs 179 (121; 263), p&lt;0,001, respectively. ROC analysis showed the following threshold values of the studied parameters: for SIRI &gt;1,05, area under the curve (AUC) confidence interval (CI) — 0,615 (0,571-0,658), p&lt;0,001, sensitivity — 42,6%, specificity — 77,3%; for SII &gt;368, AUC CI — 0,572 (0,528-0,616), p=0,004, sensitivity — 72,1%, specificity — 43,4%; for AISI &gt;248, AUC CI — 0,604 (0,560-0,647), p&lt;0,001, sensitivity 47,4%, specificity 71,1%. SIRI had the highest AUC. When comparing 6 groups according to the Coronary Artery Surgery Study (CASS) classification, significant differences were found in SIRI and AISI, p&lt;0,001 and p=0,0016, respectively. However, these differences did not have a logical pattern.Conclusion. Novel markers of systemic inflammation (SIRI, SII and AISI) were significantly higher in patients with confirmed atherosclerosis than in patients without it. There are following threshold levels associated with atherosclerosis: for SIRI &gt;1,05, for SII &gt;368, for AISI &gt;248.

Ratio of immune indices in women of the semi-arid region

Environmental and climatic factors have a significant impact on the immune system, shaping its composition and functions. The semiarid region of Aleppo, characterized by hot, dry summers and moderate, wet and cold winters, is also characterized by environmental pollution such as air pollutants and industrial chemicals. The interaction of these environmental and climatic factors can impair immune function by causing inflammatory responses, compromising the integrity of immune cells, and impairing the body’s ability to mount an effective immune response. To date, the physiological characteristics of the parameters of the human blood system and the development of physiological reactions of adaptive immune homeostasis depending on the territory of residence have not been sufficiently studied. In this work, we studied the state of immune indices in women living in the semi-arid region. Thirty women aged from 20 to 60 years without chronic and acute diseases were examined. Immunocompetence was assessed using white blood cell count, lymphocyte subset analysis and calculation of immune indices including neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), systemic inflammatory response index (SIRI), immunoregulatory index (CD4+/ CD8+) and lymphoproliferation ratio and apoptosis (CD10+/CD95+ and CD71+/CD95+). The results of the analysis showed that the median NLR was 2.18 (1.50-2.90), LMR 6.66 (5.47-8.87), SIRI 0.64 (0.45-0.98), immunoregulatory index 0.99 (0.84-1.27) and the ratio of lymphoproliferation processes to apoptosis (CD10+/ CD95+ and CD71+/CD95+) 0.95 (0.65-1.29) and 0.94 (0.78-1.11), respectively, which indicates a stressful state of immune homeostasis and signs of premature aging of the immune system. Neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), systemic inflammatory response index (SIRI), immunoregulatory index (CD4+/CD8+) and lymphoproliferation-apoptosis ratio were determined. (CD10+/ CD95+ and CD71+/ CD95+) in the examined women of the semiarid climate zone of residence, emphasizes the stressful level of immune homeostasis. The results obtained highlight the need for systematic individual biomedical monitoring to maintain immune homeostasis in populations inhabiting similar environmental conditions.

Prognostic value of immuno-nutritional status in patients with cancer treated by immune checkpoint inhibitors.

226 Background: The treatment efficacy of immune checkpoint inhibitors (ICIs) may relate to tumor factors or host factors, such as systemic inflammation status or nutritional status. In this study, we investigated the prognostic value of immuno-nutritional status in cancer patients treated by ICIs, and develop nomogram models for predicting overall survival (OS). Methods: We used Chang Gung Research Database to retrospectively evaluate cancer patients who received ICIs during January 2015 to December 2021. Patients had double cancer or received only one cycle of ICI were excluded. All patients were divided into a training cohort and a validation cohort. The training cohort was used to analyze the risk factors and develop nomogram models. The models were validated by the validation cohort. The univariate analysis, stepwise multivariate analysis, receiver operator characteristics (ROC) analysis were used to find out the independent risk factors. The calibration plot were used to evaluate the reliability of the models. Results: All patients (3219 cases) could be categorized into lung cancer (22.1%), genitourinary cancer (14.9%), upper gastrointestinal tract cancer (8.1%), colorectal cancer (3.1%), hepatocellular carcinoma (24.6%), pancreatobiliary cancer (3.8%), head and neck cancer (12.9%), melanoma (4.0%), breast cancer (1.9%) and lymphoma (0.5%). 80.2% of patients received anti-PD1, 19.8% of patients received anti-PD-L1. In training cohort, the cut-off value was set for neutrophil-to-lymphocyte ratio (NLR), total lymphocyte count (TLC), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), systemic inflammation index (SII), prognostic nutrition index (PNI) and hemoglobin-albumin-lymphocyte-platelet (HALP) score. The above risk factors showed significant difference in median OS in validation cohort respectively (Table). The multivariate analysis demonstrated that NLR, PNI and HALP score were independent risk factors in predicting OS. The hazard ratio were 1,439 (95% CI 1.149-1.801), 0.689 (95% CI 0.549-0.865) and 0.784 (95% CI 0.626-0.982) respectively. Conclusions: We developed nomogram models to investigate the immuno-nutritional status and predict the OS of cancer patients who received ICIs therapy. High NLR, low PNI and low HALP score were associated with worse OS. [Table: see text]

А COMPREHENSIVE STUDY OF PATIENTS WITH ISCHEMIC HEART DISEASE: AGE, GENDER, AND COMORBIDITY ASPECTS

The purpose of the study was to analyze the clinical characteristics, comorbid status, individual biochemical indicators, and systemic inflammation activity in patients with ischemic heart disease (IHD) depending on age, gender distribution, and diagnosis influence.Materials and methods. The study included 144 patients with IHD, who were divided into two groups – the main and the control. The main group comprised 120 patients with stable angina pectoris (SAP) II-III functional class (FC). The control group consisted of 24 patients with STEMI. All patients underwent a comprehensive examination: general clinical, anthropometric, laboratory (complete blood count, biochemical analysis), and instrumental (office blood pressure measurement, heart rate, and echocardiography). The comorbid profile of patients with IHD was assessed using the Charlson comorbidity index. The severity of systemic inflammation syndrome in the selected patient groups was assessed by the cellular composition of peripheral blood upon admission to the hospital, and based on the obtained data, the values of leukocyte inflammatory markers were calculated.Results. Patients in the main group were younger than those in the control group (54.78 ± 1.11 vs. 63.50 ± 1.82) (p&lt;0.001). A statistically significant predominance of men over women was found among the cohort of IHD patients (63.33% and 36.67%, respectively) (p&lt;0.001), with a tendency towards male predominance among patients with SAP II-III FC compared to those with STEMI (p = 0.074). Patients in the main group compared to those in the control group had significantly higher left ventricular ejection fraction (p&lt;0.001), systolic blood pressure (p&lt;0.001), and diastolic blood pressure (p=0.001). In the control group compared to the main group, more cases of patients with high levels of comorbidity were found (p&lt;0.001). Lower levels of creatinine, fibrinogen, prothrombin time, and glucose were observed in patients in the main group. Patients with SAP II-III FC compared to those with STEMI had lower levels of leukocyte inflammatory markers, such as neutrophil-to-lymphocyte ratio (NLR) (p&lt;0.001), systemic immune inflammation index (SII) (p=0.002), systemic inflammation response index (SIRI) (p=0.007), and aggregate index of systemic inflammation (AISI) (p=0.011).Conclusions. The study underscores the need for an individualized approach to each patient with ischemic heart disease, considering their age, gender, and comorbid characteristics, as well as laboratory peculiarities, to improve therapy outcomes and prevent complications.

The association of inflammatory markers with frailty and in-hospital mortality in older COVID-19 patients

IntroductionDuring the COVID19 pandemic, older patients hospitalized for COVID-19 exhibited an increased mortality risk compared to younger patients. While ageing is associated with compromised immune responses and frailty, their contributions and interplay remain understudied. This study investigated the association between inflammatory markers and mortality and potential modification by frailty among older patients hospitalized for COVID-19. MethodsData were from three multicenter Dutch cohorts (COVID-OLD, CliniCo, Covid-Predict). Patients were 70 years or older, hospitalized for COVID-19and categorized into three frailty groups: fit (Clinical frailty score (CFS) 1–3), pre-frail (CFS 4–5), and frail (CFS 6–9). Immunological markers (lymphocyte count, neutrophil count, C-reactive protein, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic inflammation index (SII)) were measured at baseline. Associations with in hospital mortality were examined using logistic regression. ResultsA total of 1697 patients were included from COVID-OLD, 656 from Covid-Predict, and 574 from CliniCo. The median age was 79, 77, and 78 years for each cohort. Hospital mortality rates were 33 %, 27 % and 39 % in the three cohorts, respectively. A lower CRP was associated with a higher frailty score in all three cohorts (all p < 0.01). Lymphocyte count, neutrophil count, NLR, PLR, or SII, were similar across frailty groups. Higher CRP levels were associated with increased in-hospital mortality risk across all frailty groups, across all cohorts (OR (95 % CI), 2.88 (2.20–3.78), 3.15 (1.95–5.16), and 3.28 (1.87–5.92)), and frailty did not modify the association between inflammatory markers and in-hospital mortality (all p-interaction>0.05). ConclusionWhile frailty is a significant factor in determining overall outcomes in older patients, our study suggests that the elevated risk of mortality in older patients with frailty compared to fit patients is likely not explained by difference in inflammatory responses.

Inflammation: Is It a Healer, Confounder, or a Promoter of Cardiometabolic Risks?

Inflammation is the body's non-specific response to injury or infection. It is a natural defense mechanism that helps to maintain homeostasis and promotes tissue repair. However, excessive inflammation can lead to cellular, tissue, or organ dysfunction, as well as contribute to the development of acute vascular events and diseases like Crohn's disease, psoriasis, obesity, diabetes, and cancer. The initial response to injury involves the activation of platelets and coagulation mechanisms to stop bleeding. This is followed by the recruitment of immune cells and the release of cytokines to promote tissue repair. Over time, the injured tissue undergoes remodeling and returns to its pre-injury state. Inflammation is characterized by the activation of inflammatory signaling pathways involving cytokines, chemokines, and growth factors. Mast cells play a role in initiating inflammatory responses. Pattern recognition receptors (PRRs) such as Toll-like receptors (TLRs) and nucleotide-binding domain (NOD)-like receptors (NLRs) are involved in the activation of these inflammatory pathways. Inflammasomes, which are cytoplasmic complexes, also contribute to inflammation by activating cytokines. Inflammation can also be triggered by factors like dietary components and the composition of the gut microbiota. Dysregulation of the gut microbiome can lead to excessive inflammation and contribute to diseases like atherosclerosis and irritable bowel syndrome (IBS). The immune system and gut-associated lymphoid tissue (GALT) play crucial roles in the inflammatory response and the development of conditions like colorectal cancer. Anti-inflammatory therapy can play a significant role in reducing or inducing the remission of inflammatory diseases such as Crohn's disease and ulcerative colitis. The fetal origin of adult diseases theory suggests that conditions during fetal development, such as low birth weight and maternal obesity, can influence the risk of cardiometabolic diseases later in life. All of the known risk factors associated with cardiometabolic diseases such as hypertension, excess weight, obesity, type-2 diabetes, and vascular diseases are accompanied by chronic low-grade inflammation. Inflammation seems to have a role in precipitating even acute vascular events such as heart attacks and stroke. Common markers of inflammation associated with cardiometabolic disease include interleukin (IL)-1β, IL-6, tumor necrosis factor (TNF-α), C-reactive protein (CRP), and soluble TNF receptors such as sTNFR1 and sTNFR2. These markers serve as indicators of systemic inflammation. However, these markers are not disease-specific but provide an insight into the overall chronic inflammatory status. In fact, inflammation has been identified as a potential target for future treatments to reduce or reverse the risk of atherosclerosis-related complications. The regulation of inflammation is complex, and further research is needed to better understand its mechanisms and develop strategies for managing inflammatory disorders. In summary, inflammation is a natural response to injury or infection, but excessive or prolonged inflammation can lead to the progression of various diseases. Understanding the underlying mechanisms of inflammation is important for developing treatments and preventive measures for inflammatory disorders.

The Effect of Prognostic Nutritional Index and Systemic Inflammatory Index in Endometrioid Type Endometrial Cancer

OBJECTIVES: The primary goal of the cohort was to show the relationship between systemic inflammatory index (SII) and prognostic nutritional index (PNI) values and the prognostic factors of endometrial cancer (EC), especially lymph node (LN) involvement, and lymphovascular space invasion (LVSI), which can not generally be evaluated preoperatively. STUDY DESIGN: This is a retrospective cohort based on reviews of patient records who were diagnosed with EC and underwent treatment between January 2014 and 2021. Complete blood counts and albumin level measurements were performed within 2 weeks before treatment. RESULTS: Two hundred twenty-seven patients with endometrioid type EC were included in the cohort. The mean follow-up was 35.4 ± 19.6 months. LVSI positivity was 8.2% in the presence of low SII and 44.1% in the presence of high SII (p&lt;0.001). LVSI positivity was 23.3% in the presence of low PNI and 11.1% in the presence of high PNI (p=0.025). Low and high PNI values do not affect disease-free (DFS) and overall survival (OS) significantly. 5-year mean DFS and OS differ significantly with low and high SII values. CONCLUSİON: SII and PNI values can be used to predict the presence of LVSI in the preoperative period, and to determine the extent of LN dissection and the surgical procedure Patients with high SII values had worse survival outcomes.

Maternal prenatal systemic inflammation indexes predicts premature neonatal respiratory distress syndrome

Neonatal respiratory distress syndrome (NRDS) is one of the leading causes of neonatal mortality in low-income countries. It is caused by a lack of surface-active substances in the lungs, and the maternal inflammatory response plays an important role in the formation of surface-active substances in the fetal lungs. We aimed to investigate the correlation between maternal prenatal systemic inflammatory indices and respiratory distress syndrome in preterm neonates. This is a retrospective case–control study that collected data from all patients who delivered between 28 and 36 weeks of gestation at Longhua District People's Hospital in Shenzhen City and whose infants were admitted to the neonatal unit, newborns with respiratory distress syndrome were in the experimental group (NRDS group), and newborns without NRDS were in the control group (non-NRDS group). To minimize the effect of confounders on the results, propensity score matching was performed on baseline characteristics. Totally, 524 patients were included (93 in the NRDS group and 431 in the non-NRDS group), and 71 matched pairs (142 patients). The neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI) and neutrophil lymphocyte to platelet ratio (NLPR) were higher in the NRDS group than in the non-NRDS group (p < 0.05). The ROC curves of NLR, dNLR, SII, SIRI, AISI and NLPR for the diagnosis of NRDS were plotted, and it was found that the combined diagnostic efficacy of these six systemic inflammatory markers was better (AUC: 0.643, P = 0.003). Patients were divided into two groups based on the cut-off values determined from the ROC curves, and analysis using binary regression models revealed that SII ≥ 1199.94 (OR, 2.554; 95% CI 1.245–5.239, P = 0.011) and NLPR ≥ 0.0239 (OR, 2.175; 95% CI 1.061–4.459, P = 0.034) were independent risk factors predicting NRDS. Maternal prenatal SII ≥ 1199.94 and NLPR ≥ 0.0239 are independent risk factors for NRDS, and clinicians may be used to prevent neonatal respiratory distress in advance to reduce the incidence of NRDS.

Prognostic Utility of dNLR, ALRI, APRI, and SII in COVID-19 Patients with Diabetes: A Cross-Sectional Study.

The coronavirus disease 2019 (COVID-19) pandemic has necessitated the identification of biomarkers that can predict disease severity, particularly in vulnerable populations such as individuals with diabetes. This study aims to evaluate the predictive value of inflammatory and liver function markers, specifically derived Neutrophil to Lymphocyte Ratio (dNLR), aspartate aminotransferase (AST)-to-lymphocyte ratio (ALRI), AST to Platelet Ratio Index (APRI), and Systemic Inflammation Index (SII), in COVID-19 patients with and without diabetes. This cross-sectional study included 336 participants, comprising 168 patients with diabetes matched with 168 without, based on gender, body mass index (BMI), and COVID-19 severity at hospitalization. The study was conducted at Victor Babes Hospital for Infectious Diseases and Pulmonology from January 2021 to December 2023. All participants had a confirmed SARS-CoV-2 infection and met the inclusion criteria of being 18 years or older with type 1 or type 2 diabetes as per American Diabetes Association guidelines. At 3 days post symptom onset, significant differences in inflammatory and liver function markers were observed between the two groups. The dNLR, ALRI, APRI, and SII were notably higher in diabetic patients. At a dNLR cutoff of 2.685, the sensitivity and specificity were 70.312% and 65.978%, respectively, with an AUC of 0.624 (p < 0.001). The ALRI showed a cutoff of 0.812, with a sensitivity of 76.429% and specificity of 69.541% (AUC 0.752, p < 0.001). These markers demonstrated statistically significant hazard ratios at both 3 and 7 days, indicating their predictive relevance for severe COVID-19 outcomes. For instance, at 7 days, SII demonstrated a hazard ratio of 2.62 (CI: 1.29-5.04, p < 0.001), highlighting its strong prognostic capability. The study successfully identified significant differences in inflammatory and liver function markers between COVID-19 patients with and without diabetes, with these markers showing good predictive value for disease severity. The results underscore the potential of these biomarkers, particularly ALRI and SII, as valuable tools in managing COVID-19, aiding in the timely identification of patients at increased risk of severe outcomes.

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

BackgroundNecrotizing 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.MethodsThis 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.ResultsThe 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.ConclusionsSII, 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.

Clinical and Biomarker Characteristic of Lymphoma Patients in Hasan Sadikin Lymphoma Registry.

No specific data have been systematically collected regarding lymphoma patient characteristics, while non-Hodgkin lymphoma (NHL) is identified as the 7th most common cancer and Hodgkin lymphoma (HL) is the 28th. Inflammation plays an important role in the pathogenesis and progression of lymphoma. Malnutrition is an adverse prognostic factor in lymphoma. Systemic Inflammatory Index (SII), Prognostic Nutritional Index (PNI), and Advanced Lung Cancer Inflammation Index (ALI) were biomarkers depicting inflammation and nutritional status. This study aims to describe the clinical and biomarker characteristics of both HL and NHL patients. This descriptive study used a cross-sectional design, and data were collected from Hasan Sadikin Hospital lymphoma registry from January 2020 to November 2023. Demographic, staging, and histopathological data were extracted. Three biomarkers were evaluated. Survival curves were drawn using Kaplan-Meier curve analysis, and the log rank test was used for comparison of survival between early and advanced stage. A total of 271 patients were recruited as participants, and the majority (80.5%) had NHL, with diffuse large B-cell lymphoma (DLBCL) being the most common histopathological type (50.5%). Early disease was observed in two-thirds of patients, and low-risk International Prognostic Index (IPI) score was the most common prognostic score found (95%). SII was slightly higher in early compared to advanced stages. Treatment response was evaluated from 101 patients, and complete response was observed in 44.5%. Two-year overall survival (OS) was 93.1%, with median survival 22.7 (95% CI 21.9-23.5) months. In early stage, the median survival was slightly longer than in advanced stage [23.0 (95% CI 22.2-23.8) vs 21.6 (95% CI 19.3-23.8) months, P=0.09]. Hodgkin lymphoma and DLBCL had similar clinical and biomarker characteristics. There were slight differences between the three biomarkers SII, ALI, and PNI based on the disease stage. Almost all patients still survived at 2-year follow-up.

Association of Systemic Inflammatory Response Index and Neutrophil-to-Lymphocyte Ratio on Unfavorable Functional Outcomes in Acute Ischemic Stroke Patients After Endovascular Therapy

BACKGROUNDInflammatory 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. METHODS128 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, monocyte count. Then, the SIRI and NLR values were calculated, and the association among SIRI, NLR, and modified Rankin Scale (mRS) scores 90 days after endovascular therapy was examined via univariate and multivariate logistic analyses. ROC curves were utilized to determine the best threshold for SIRI and NLR in predicting negative neurological outcomes following endovascular treatment for patients with AIS. RESULTS128 participants were evaluated, among which 50% had unfavorable outcomes. Linear regression analysis showed that the best threshold for SIRI was >1.407 (OR = 1.265; 95% CI, 1.071-1.493; P = 0.006), and for NLR it was >5.347 (odds ratio; OR = 1.088; 95% confidence interval [CI], 1.007-1.175; P = 0.033). These results revealed NLR and SIRI as significant predictors of unfavorable outcomes at 90 days. The AUC for SIRI and NLR in predicting 90-day adverse outcomes was 0.643 and 0.609, respectively. CONCLUSIONSHigher SIRI and NLR levels at admission may lead to unfavorable outcomes at 90 days for AIS patients with endovascular therapy.

Inflammatory markers in systemic immune-inflammatory index and inflammatory response index to predict early pregnancy loss.

To uncover the predictive value of systemic immune-inflammatory index (SII) and systemic inflammatory response index (SIRI) on early pregnancy loss. 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. 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%). 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.