Indicator Of Systemic Inflammation Research Articles

An Easy-to-Use Nomogram Based on SII and SIRI to Predict in-Hospital Mortality Risk in Elderly Patients with Acute Myocardial Infarction.

Inflammatory response is closely associated with poor prognosis in elderly patients with acute myocardial infarction (AMI). The aim of this study was to develop an easy-to-use predictive model based on medical history data at admission, systemic immune inflammatory index (SII), and systemic inflammatory response index (SIRI) to predict the risk of in-hospital mortality in elderly patients with AMI. We enrolled 1550 elderly AMI patients (aged ≥60 years) with complete medical history data and randomized them 5:5 to the training and validation cohorts. Univariate and multivariate logistic regression analyses were used to screen risk factors associated with outcome events (in-hospital death) and to establish a nomogram. The discrimination, calibration, and clinical application value of nomogram were evaluated based on receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), respectively. The results of multivariate logistic regression showed that age, body mass index (BMI), previous stroke, diabetes, SII, and SIRI were associated with in-hospital death, and these indicators will be included in the final prediction model, which can be obtained by asking the patient's medical history and blood routine examination in the early stage of admission and can improve the utilization rate of the prediction model. The areas under the ROC curve for the training and validation cohorts nomogram were 0.824 (95% CI 0.796 to 0.851) and 0.809 (95% CI 0.780 to 0.836), respectively. Calibration curves and DCA showed that nomogram could better predict the risk of in-hospital mortality in elderly patients with AMI. The nomogram constructed by combining SII, SIRI, and partial medical history data (age, BMI, previous stroke, and diabetes) at admission has a good predictive effect on the risk of in-hospital death in elderly patients with AMI.

Platelet and white blood-cell-based ratios: Differential inflammatory markers of severe mental disorders?

IntroductionNeutrophil/lymphocyte (NLR), monocyte/lymphocyte (MLR), and platelet/lymphocyte (PLR) ratios, and systemic inflammatory index (SII) represent peripheral markers of inflammation associated with different severe mental disorders. Material and methodsIn this study, these parameters were analyzed in a sample of 622 participants [197 patients with major depressive disorder (MDD), 154 with bipolar disorder (BD), 176 with schizophrenia (SCH), and 95 healthy controls (HC)]. Sociodemographic and clinical data of patients were recorded. ResultsDifferences in age and sex were detected among groups (p<0.001), with SCH patients being younger and MDD patients being older. After stratifying by sex, these ratios were compared using the nonparametric ANCOVA (Quade's test) using age as a covariate. In males, no significant statistical differences were found between groups. However, differences were observed in MLR in the subgroup of females [MDD: 0.23 (SD=0.09); BD: 0.23 (SD=0.11); SCH: 0.24 (SD=0.11); HC: 0.29 (SD=0.13); F=5.376, p=0.001]. Post hoc testing revealed that there are MLR differences between HC versus MDD and between HC versus BD, with higher values in HC versus the other two groups. On the other hand, no differences were found in either males or females for any of the studied ratios, among the three diagnostic groups. ConclusionsMLR is reduced in MDD and BD patients versus HC, but exclusively in the female group. However, based on the analyzed indices, it is not possible to differentiate among the three diagnostic groups of patients. As a limitation of this study, note that the effects of psychopharmacological treatments and smoking have not been controlled for.

Relationship between combined systemic inflammatory indices with presence and severity of hyperemesis gravidarum.

Our study aims to determine the levels of systemic inflammation markers and the combined systemic inflammation indices in hyperemesis gravidarum (HG) patients and to investigate the association between the severity of the disease. The study population consisted of 83 pregnant women with HG and 100 healthy pregnant women matched for gestational age as a control group. We grouped the HG patients according to the Modified Pregnancy Unique Quantification of Emesis/Nausea (PUQE) scoring system as mild, moderate, and severe. We calculated the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), MPV-to-lymphocyte ratio (MPVLR), RDW-to-platelet ratio (RPR), Systemic immune-inflammation index (SII), Systemic Inflammation Response Index (SIRI), and Aggregate Systemic Inflammation Index (AISI). NLR, PLR, SII, SIRI, and AISI levels were significantly higher in the HG group. These indices tended to increase as the severity of the disease increased. We found NLR, PLR, SII, SIRI, and AISI indices as the independent risk factors for the presence and severity of HG. The SIRI index, which has the highest area under the curve (AUC), sensitivity, and specificity values, was determined as the most powerful diagnostic tool in the diagnostic evaluation of the presence (AUC: 0.695; p < 0.001; sensitivity: 54%; specificity: 75%; cut-off: 3.14) and severity (AUC: 0.785; p < 0.001, sensitivity: 82%; specificity: 68%; cut-off: 2.74) of HG. Our study results showed that combined systemic inflammatory indices (NLR, PLR, SII, SIRI, and AISI) are associated and correlated with the presence and severity of HG. These indices are independent risk factors for the presence and severity of HG. Combined systemic inflammatory indices are diagnostic in determining the severity of HG. The SIRI index has the best diagnostic power for both the diagnosis of HG and the determination of the severity of HG.

Evaluation of the systemic immune inflammation index and the systemic inflammatory response index as new markers for the diagnosis of acute appendicitis in children.

Abdominal pain is a common and non-specific symptom in children. It is important to be able to distinguish the source of abdominal pain before surgery. Assess importance of the systemic immune inflammation index (SII), systemic inflammation response index (SIRI), and other systemic inflammatory response blood cell indices in predicting the diagnosis and prognosis of acute appendicitis in children. Retrospective cohort SETTING: Single center in Turkey PATIENTS AND METHODS: The files of patients with abdominal pain aged 0-18 years who underwent surgery for appendicitis in our clinic between January 2011 and January 2022 were reviewed. According to the pathology results, patients were divided into two groups, those with pathologic findings of appendicitis (positive for appendicitis) and those without appendicitis. Systemic inflammation markers were statistically compared between the groups. Systemic inflammation markers. 1265 patients RESULTS: Of the 1265 patients, 784 (62%) were male and 481 were female (38%). According to the pathologic examinations, 256 (20.2%) patients did not have appendicitis, and 1009 (79.8%) patients had acute appendicitis. The SIRI level was significantly higher in patients with acute appendicitis compared with patients without acute appendicitis (P<.001). Levels of SII were significantly higher in patients with acute appendicitis (P<.001). In children presenting with abdominal pain, high SIRI and SII values alone support the diagnosis of acute appendicitis at a rate of 95%. When physical examination findings, duration of pain, and imaging test results are added, the diagnosis becomes clear at a rate of 98%. Single-center study and retrospective.

The predictive value of hematological inflammatory markers for acute kidney injury and mortality in adults with hemophagocytic Lymphohistiocytosis: A retrospective analysis of 585 patients.

Hemophagocytic lymphohistiocytosis (HLH) is a rare immunological hyperactivation-related disease with a high mortality rate. The purpose of this study was to examine the relationship between complete blood count parameters and the occurrence of acute kidney injury (AKI) and mortality in patients with HLH. We included 585 adult patients with HLH. Logistic regression models for AKI and 28-day mortality were developed. Multivariate logistic regression models revealed that hemoglobin (HB)≤7.3g/dl (adjusted OR, 1.651; 95% CI, 1.044-2.612), hemoglobin-to-red blood cell distribution width ratio (HRR)<0.49 (adjusted OR, 1.692), neutrophil-to-lymphocyte ratio (NLR)≥3.15 (adjusted OR, 1.697), and neutrophil-to-lymphocyte-platelet ratio (NLPR)≥11.0 (adjusted OR, 1.608) were independent risk factors for the development of AKI. Moreover, lower platelet levels (31×109/L<platelets<84×109/L, adjusted OR, 2.133; platelets≤31×109/L, adjusted OR, 3.545) and higher red blood cell distribution width-to-platelet ratio (RPR) levels (0.20<RPR<0.54, adjusted OR, 2.595; RPR≥0.54, adjusted OR, 4.307), lymphocytes≤0.34×109/L (adjusted OR, 1.793), NLPR≥11.0 (adjusted OR, 2.898), and the aggregate index of systemic inflammation (AISI)≤7 (adjusted OR,1.778) were also independent risk factors for 28-day mortality. Furthermore, patients with AKI had a worse prognosis than those without AKI (P<0.05). In patients with HLH, hematological parameters are of great value for the early identification of patients at high risk of AKI and 28-day mortality.

Association of systemic immune inflammation index and system inflammation response index with clinical risk of acute myocardial infarction.

Systemic immune inflammatory index (SII) and systemic inflammatory response index (SIRI) are combinations of non-specific inflammatory and adaptive immune response impairments associated with cardiovascular disease. Yet little analysis has been done on SII, SIRI and acute myocardial infarction (AMI) prognosis. The purpose of this study was to investigate the correlation of SII and SIRI with clinical risk factors such as GRACE, Gensini, and QTc after acute myocardial infarction. This study enrolled 310 patients with AMI from February 1, 2018, to December 31, 2022, at our institution. Routine blood items calculated SII and SIRI. Two groups were divided according to whether MACE occurred: the MACE group (81 cases) and the NMACE group (229 cases); each group was divided into three groups according to the SII and SIRI tertiles. The relationship between SII, SIRI and MACE was analyzed using multifactorial logistic regression analysis after adjusting for confounders; ROC curves were plotted to examine the predictive value of SII and SIRI for MACE. The correlation between SII and SIRI and potential risk factors such as Gensini, QTc and GRACE was further analyzed. The study enrolled 310 patients, comprising 248 men (80%, mean age 60.73 ± 13.695 years) and 62 women (20%, mean age 69.79 ± 11.555 years). In the regression model completely adjusted for confounders, the risk of MACE was higher in AMI patients with SII > 11.00 [OR = 1.061,95% CI (1.018,1.105)] than in SII < 5.98; the risk of MACE was 115.3% higher in AMI patients with SIRI (1.72-3.68) [OR = 2.153, 95% CI (1.251, 3.705)] was 115.3% higher in AMI patients with SIRI < 1.72 and the risk of MACE was 25.1% higher in AMI patients with SIRI > 3.68 [OR = 1.251, 95% CI (1.123, 1.394)] than in AMI patients with SIRI < 1.72. In addition, SII, SIRI, and potential post-infarction risk factors (Gensini, QTc, and GRACE) were also associated. SII and SIRI have been significantly associated with post-myocardial infarction MACE and the predictive potential clinically integrated risk factors in AMI patients, for which more attention should be paid to targeted anti-inflammatory therapy in AMI patients to further reduce the incidence of prognostic MACE in AMI patients.

Prognostic Value of Multiple Complete Blood Count-Derived Indices in Intermediate Coronary Lesions.

Complete blood count (CBC)-derived indices have been proposed as reliable inflammatory biomarkers to predict outcomes in the context of coronary artery disease. These indices have yet to be thoroughly validated in patients with intermediate coronary stenosis. Our study included 1527 patients only with intermediate coronary stenosis. The examined variables were neutrophil-lymphocyte ratio (NLR), derived NLR, monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), systemic immune inflammation index (SII), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI). The primary endpoint was the composite of major adverse cardiovascular events (MACEs), including all-cause death, non-fatal myocardial infarction, and unplanned revascularization. Over a follow-up of 6.11 (5.73-6.55)years, MACEs occurred in 189 patients. Receiver operator characteristic curve analysis showed that SIRI outperformed other indices with the most significant area under the curve. In the multivariable analysis, SIRI (hazard ratio [HR] 1.588, 95% confidence interval [CI] 1.138-2.212) and AISI (HR 1.673, 95% CI 1.217-2.300) were the most important prognostic factors among all the indices. The discrimination ability of each index was strengthened in patients with less burden of modifiable cardiovascular risk factors. SIRI also exhibited the best incremental value beyond the traditional cardiovascular risk model.

The effect of systemic inflammatory index and systemic inflammatory response index on success of varicoselectomy.

Varicocele is the most common correctable cause of male infertility. The treatment of varicocele is surgery. However, which patients will benefit from the surgery is controversial. Our aims to investigate the effect of systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) on varicocelectomy success. Patients who underwent varicocelectomy in our clinic between January 2016 and June 2022 were analyzed retrospectively. Varicocelectomy success was defined as >50% increase in post-operative total motile sperm count (TMSC) in those with pre- operative TMSC > 5 million and at least 100% increase in those with <5 million. The patients were divided into two groups as benefiting from the treatment (Group 1) and no benefits (Group 2). Of the 207 patients who underwent varicocelectomy, 144 (69.6%) of them improved their semen parameters, and 63 (30.4%) did not. The optimum cut-off value of SII was 334.6, with an AUC of 0.733 (95% CI: 0.665-0.813). The best cut-off value for SIRI of 0.882, with an AUC of 0.692 (95% CI: 0.607-0.772). The highest sensitivity and specificity were 0.692 and 0.601 (p < 0.001). In the multivariate analysis, only SII (OR: 3.152, 95% CI: 1.316-7.358; p = 0.003) and SIRI (OR: 2.919, 95% CI: 1.472-5.774; p = 0.002) were independent predictive factors for varicocelectomy success. Our results showed that preoperative SII and SIRI values were lower in infertile patients who underwent successful varicocelectomy. Therefore, we think that these parameters will be useful in identifying patients who will benefit before varicocelectomy.

Habitual physical activity modulates cardiometabolic health in long-term testicular cancer survivors

PurposesPhysical activity (PA) may mitigate late cardiometabolic toxicity of cisplatin-based chemotherapy in testicular germ cell tumor (TGCT) long-term survivors. In this cross-sectional study, we evaluated the effects of habitual PA on metabolic syndrome (MetS) prevalence, and on the markers of cardiometabolic health and chronic inflammation in a population of long-term TGCT survivors.MethodsMetS prevalence was evaluated, and habitual PA was assessed using Baecke’s habitual PA questionnaire in TGCT survivors (n=195, age=41.1±8.1years, 11.7±5.2years post-therapy) and healthy male controls (n=41, age=38.2±8.8years). Participants were stratified into low- and high-PA groups based on median values. Differences were examined between low- and high-PA groups (in the entire sample, TGCT survivor sub-samples differing in disease stage, and healthy controls), and between TGCT survivors and controls. Next, TGCT survivors were stratified into age- and BMI-matched sub-groups based on post-treatment time (5–15/15/30years) and number of chemotherapy cycles (≤3/>3), allowing us to detect age- and BMI-independent effects of habitual PA on cardiometabolic health in the given TGCT survivor sub-populations. A correlation matrix of habitual PA and sport activity with cardiometabolic and pro-inflammatory markers was generated.ResultsTGCT survivors had higher MetS prevalence than controls. Patients with high habitual PA had lower waist circumference and Systemic Inflammation Index. Habitual PA scores correlated positively with HDL-cholesterol and negatively with waist circumference and atherogenic risk. Furthermore, cardiometabolic benefits of habitual PA were more pronounced in patients with disease stages 1 and 2. Effects of habitual PA on patients sub-populations stratified by chemotherapy dose and post-treatment time clearly showed that higher levels of habitual PA were associated with lower numbers of MetS components, except for patients who received more than 3 chemotherapy cycles and were examined more than15 years post-therapy.ConclusionsHigher levels of habitual PA effectively mitigated cardiometabolic toxicity in TGCT survivors. Patients with higher cumulative doses of chemotherapy may need structured exercise interventions involving higher-intensity physical activity to achieve significant improvements in cardiometabolic health.

Neutrophil to Lymphocyte Ratio and Serum Biomarkers : A Potential Tool for Prediction of Clinically Relevant Cerebral Vasospasm after Aneurysmal Subarachnoid Hemorrhage.

Subarachnoid hemorrhage (SAH) is a condition characterized by bleeding in the subarachnoid space, often resulting from the rupture of a cerebral aneurysm. Delayed cerebral ischemia (DCI) caused by vasospasm is a significant cause of mortality and morbidity in SAH patients, and inflammatory markers such as systemic inflammatory response index (SIRI), systemic inflammatory index (SII), neutrophil-to-lymphocyte ratio (NLR), and derived NLR (dNLR) have shown potential in predicting clinical vasospasm and outcomes in SAH patients. This article aims to investigate the relationship between inflammatory markers and cerebral vasospasm after aneurysmatic subarachnoid hemorrhage (aSAH) and evaluate the predictive value of various indices, including systemic inflammatory response index (SIRI), systemic inflammatory index (SII), neutrophil-to-lymphocyte ratio (NLR), and derived NLR (dNLR), in predicting clinical vasospasm. A retrospective analysis was performed on a cohort of 96 patients who met the inclusion criteria out of a total of 139 patients admitted XXXXXXXXXXX hospital with a confirmed diagnosis of aneurysmal subarachnoid hemorrhage (aSAH) between January 2013 and December 2021. Diagnostic procedures, neurological examinations, and laboratory tests were performed to assess the patients' condition. The Student's t-test compared age variables, while the chi-square test compared categorical variables between the non-vasospasm (NVS) and vasospasm (VS) groups. Receiver operating characteristic (ROC) curve analyses were used to evaluate the diagnostic accuracy of laboratory parameters, calculating the area under the ROC curve (AUC), cut-off values, sensitivity, and specificity. A significance level of p < 0.05 was considered statistically significant. The study included 96 patients divided into two groups: NVS (non-vasospasm) and VS (vasospasm). Various laboratory parameters, such as NLR, SII, and dNLR, were measured daily for 15 days, and statistically significant differences were found in NLR on seven days, with specific cut-off values identified for each day. SII showed a significant difference on day 9, while dNLR had significant differences on days 2, 4, and 9. Graphs depicting the values of these markers for each day are provided. Neuroinflammatory biomarkers, when used alongside radiology and scoring scales, can aid in predicting prognosis, determining severity and treatment decisions for aneurysmal subarachnoid hemorrhage (aSAH), and further studies with larger patient groups are needed to gain more insights.

Serum Hepcidin and C Reactive Proteins as Predictive Markers for Post Acne Scarring

Abstract Background Acne vulgaris is a common inflammatory skin condition affecting a large section of population. Hepcidin, a small peptide produced by the liver, is a recently discovered key regulator of iron homeostasis that was classified as a typeII acute phase protein. The synthesis of hepcidin is greatly stimulated by inflammation or by iron overload. C‑reactive protein (CRP) is one of the best indicators of systemic inflammation, considering that its serum levels show no circadian change across the 24 hrs. IL‑1, IL‑6 and TNF‑α that are found in the acne lesions are also major inducers of CRP production by the liver. Thus, CRP levels could be elevated in acne if the amount of local inflammation is high enough. Aim of the Work To measure serum Hepcidin and C reactive proteins in acne vulgaris patients &amp; assess their ability as predictive serum markers for postacne scarring. Patients and Methods This Observational Cross sectional study, was carried out on 60 moderate, severe &amp; very severe acne patients aged from 16 to 40 years old (with and without postacne scarring), recruited from the outpatient clinics of Dermatology, Venereology &amp; Andrology departments of Ain-Shams University and MUST university Hospitals, from February 2019 toFebruary 2020. Results Levels of serum hepcidin protein of studied acne pateints were higher than normal range, while CRP serum levels were almost within normal range. Besides, Pateints with post acne scars had significantly lower serum hepcidin levels and higher CRP levels than pateints without. Furthermore, there was highly significant negative correlation between Hepcidin protein serum levels and duration and grade of acne, as well as post acne scarring grade. However, there was highly significant positive correlation between CRP serum levels and duration and grade of acne, as well as post acne scarring grade. Conclusion Serum hepcidin and CRP levels may provide an objective tool to predict the clinical outcome of acne vulgaris lesions and might help in determining the susceptible patients for scarring thus, configuring the therapeutic plan to start an aggressive treatment in patients prone to scar formation regardless of the clinical severity of acne vulgaris itself.

HORMON RESEPTÖR POZİTİF, HER-2 NEGATİF METASTATİK MEME KANSERLİ HASTALARDA CDK4/6 İNHİBİTÖRÜ TEDAVİSİ ÖNCESİ SİSTEMİK İMMÜN İNFLAMASYON İNDEKSLERİNİN VE PROGNOSTİK NUTRİSYONEL İNDEKSİN PROGNOSTİK ÖNEMİ

Abstract&#x0D; Purpose: As systemic inflammatory indices and prognostic nutritional index are associated with poor prognosis in many tumor types, the goal of the present study was to ascertain their effect along with the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, lymphocyte/monocyte ratio, C-reactive protein/albumin ratio, and systemic inflammatory response index on the progression-free survival (PFS) and overall survival (OS) of hormone receptor-positive HER2-negative (HR+/HER2−) metastatic breast cancer patients before CDK4/6 inhibitor treatment. &#x0D; Materials and Method: The medical records of 79 patients with HR+/HER2− metastatic breast cancer who presented at the Medical Oncology Outpatient Clinic between January 2018 and May 2022 were retrospectively analyzed to gather relevant data measured before CDK4/6 inhibitor treatment in order to establish the effect of key markers on their PFS and OS.&#x0D; Results: The median age of the participating patients, 70 (88.6%) of whom were postmenopausal, was 53 years (range 26−80 years). While 68 patients (86.1%) had a 0 performance score, 10 (12.7%) developed metastases during adjuvant endocrine therapy. Factors affecting PFS were age

Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?

Breast cancer research has focused on the early detection and treatment of breast cancer. Axillary lymph node status is essential for primary breast cancer staging, recurrence, and survival. The current quest for precision medicine is to identify predictive markers that offer the advantage of individualized treatment options. This study aimed to investigate the value of inflammatory indices in predicting positive sentinel nodes in breast cancer. We studied 602 patients with early-stage breast cancer who underwent sentinel lymph node biopsies (SLNB) at the Bülent Ecevit University General Surgery Clinic. We obtained data, including the clinical and demographic characteristics of the patients, such as age, histological type, and sentinel lymph nodes. Neutrophil, lymphocyte, platelet, and monocyte counts were obtained from preoperative complete blood count test data from the patient registry. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory index (SII), and sentinel lymph node biopsy were analyzed. Sentinel LAP was negative in 391 (65%) patients and positive in 211 (35%). In the receiver operating characteristic curve analysis, no significant difference was found between SLNB positivity and negativity in terms of NLR, PLR, LMR, or SII. In contrast to previous research, NLR, PLR, LMR, or SII did not affect SLNB positivity prediction in our study.

Clinical characteristics and prognostic factors of 75 cases with acquired hemophagocytic syndrome

ABSTRACTObjectivesThe study's aim was to enhance awareness of acquired hemophagocytic syndrome (HPS) in adults by analyzing clinical features, and investigating the relationship between factors such as the Systemic Inflammation Index (SII) and the prognosis of HPS.MethodsClinical characteristics, survival data, and prognostic factors of 75 HPS patients admitted to our hospital between January 2012 and October 2022 were analyzed.ResultsIn the high SII group, red blood cells, white blood cells, platelets, neutrophils, fibrinogen, and CD4 + cell activity were higher, and survival time was longer compared to the low SII group. Conversely, total bilirubin and direct bilirubin were higher in the low SII group (P ≤ 0.05). After applying the log-Rank or Breslow tests, HPS patients in the high SII group and those following the HLH-2004 protocol experienced a notably longer survival time. (χ2 = 4.291, P < 0.05; χ2 = 5.210, P < 0.05). Patients with poor prognosis showed higher age of onset, elevated levels of total, direct, and indirect bilirubin, and a greater rate of EBV infection, but reduced levels of red blood cells, platelets, hemoglobin, albumin, globulin, and HLH-2004 protocol usage rate(P < 0.05). Multivariate analysis and ROC curve results indicate that special attention is needed for patients with platelets < 42.5 × 109/L, albumin < 27.7 g/L, fibrinogen < 1.085 g/L, those not following the HLH-2004 protocol, and those who are EBV (+).Discussion and ConclusionEarly diagnosis and following the HLH-2004 protocol are essential for patients with HPS clinical manifestations to improve prognosis. Additional research is necessary to examine the link between SII and HPS patients’ prognosis.

Baseline inflammation indexes and neutrophil-to-LDH ratio for prediction of the first mobilization failure without plerixafor-based regimens in multiple myeloma and lymphoma patients: A single-center retrospective study.

Many factors were identified for mobilization failure (MF) in autologous hematopoietic stem-cell transplantation. To our knowledge, this is the first study to investigate the efficacy of baseline inflammation indexes and neutrophil-to-lactate dehydrogenase (LDH) ratio to predict MF in multiple myeloma (MM) and lymphoma. A total of 240 patients with lymphoma or MM hospitalized between January 2014 and June 2022 for the first stem cell mobilization were included in this retrospective single-center study. We evaluated the impact of baseline demographic, clinical, and laboratory data (before granulocyte colony-stimulating factor and chemotherapy implementation), including neutrophil, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), neutrophil-to-C-reactive protein, and neutrophil-to-LDH ratios on MF. A total of 240 patients were divided into successful (214 patients, 89.16%) and poor mobilizers (26 patients, 10.84%). Poor mobilizers had lower neutrophil, NLR, SII, and neutrophil-to-LDH ratios (P values were .001, .022, .001, and .001, respectively). Among these markers, only the neutrophil-to-LDH ratio was statistically low in both poor mobilizer MM and lymphoma patients. Receiving operator characteristic curve analysis was performed to evaluate neutrophil, SII, and neutrophil-to-LDH ratios for MF. Neutrophil-to-LDH ratio had the highest specificity (93.93%, for ≤9.904 cut-off) compared to the other two variables. Multivariate logistic regression analysis showed that neutrophil-to-LDH ratio ≤ 9.904 (cut-off) (odds ratio: 7.116, P = .001), neutrophil counts ≤3300/mm3 (cut-off) (odds ratio: 3.248, P = .021), and lymphoma diagnosis (odds ratio: 2.674, P = .039) were independent risks for MF. The neutrophil-to-LDH ratio could be a novel marker in lymphoma and MM patients to predict the first MF. New studies should be conducted for the optimization of this index.

The significance of biomarkers of inflammation in predicting the activity of Lupus nephritis.

Lupus nephritis (LN) is one of the most severe manifestations of systemic lupus erythematosus (SLE). There are increased studies examining the role of different markers that would facilitate diagnosis, LN activity monitoring, relapse occurrence, and the right time to introduce maintenance therapy. We aimed to examine the importance of determining the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), systemic immuneinflammatory index (SII) and systemic inflammatory response index (SIRI) in LN, comparing their significance with other standard parameters of active disease. The clinical examination included 66 patients (34 with active and 32 with LN in remission) and 23 healthy controls. The investigated parameters were CRP, CBC, creatinine, albumin, GFR, C3, C4, ANA, anti-ds DNA Ab, in urine: sediment analysis, SLEDAI/r, proteinuria 24h and Up/cre. We determined the derived markers: NLR, PLR, SIRI, and SII and their correlation with other parameters of active disease.

The Prognostic Value of Inflammatory Indices in Predicting Poor Postoperative Outcomes in Isolated Coronary Artery Bypass Graft Surgery.

This study aimed to analyze the predictive effect of various inflammatory indices and inflammatory biomarkers on prognosis after coronary artery bypass grafting (CABG). In this retrospective observational study, data were recorded from 99 patients who underwent isolated elective CABG between January 2019 and June 2021 and met the inclusion criteria. The patients were divided into two main groups according to the postoperative clinical results: "favorable outcome" and "poor outcome." Preoperative inflammatory parameters, inflammatory indices (such as systemic inflammation index (SII), neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR)), and clinical variables were compared between the groups. Poor postoperative outcomes developed in 31 (31.3%) patients. In the univariate analysis, white blood cell count (p=0.008), neutrophil count (p=0.002), SII (p=0.018), NLR (p=0.003), and dNLR (p=0.003) were found to be significant predictors for poor outcomes. In the multivariate analysis, only the presence of chronic obstructive pulmonary disease (COPD) (OR=8.765; 95% CI 1.308-58.702; p=0.025) and high creatinine levels (OR=1.049; 95% CI 1.005-1.094; p=0.027) were independent risk factors for poor outcomes. Optimal cut-off values were 603.08 (areas under the curve (AUC)=0.632, p=0.036) for SII, 2.34 (AUC=0.669, p=0.007) for NLR, and 1.76 (AUC=0.667, p=0.008) for dNLR. SII, NLR, dNLR, and inflammatory markers, such as white blood cell and neutrophil counts, are feasible markers for predicting poor outcomes following CABG procedures. These parameters may aid in the development of early therapeutic interventions to improve patient outcomes.

Combined systemic inflammatory indexes as reflectors of outcome in patients with COVID‑19 infection admitted to ICU.

The principal etiology of mortality in COVID-19 patients is the systemic pro-inflammatory processes which may lead to acute respiratory distress syndrome. Hematologic indices are reachable representatives of inflammation in patients with COVID-19 infection. The purpose of the current study was to evaluate the potential predictive value of these inflammatory indices in the in-hospital mortality of ICU-admitted COVID-19 patients. The studied indexes included AISI, dNLR, NLPR, NLR, SII, and SIRI. 315 COVID-19 patients admitted to ICU managed in Imam Khomeini Hospital of Urmia, Iran, during the last 6months of 2020 were retrospectively enrolled in the study and divided into two subgroups based on their final outcome, discharge or death. Total leucocyte count (TLC), absolute neutrophil count (NLC), urea, Cr, RDW, AISI, dNLR, NLPR, NLR, SII, and SIRI were drastically elevated in the dead patients (P < 0.05). The optimal cut-off points for AISI (378.81), dNLR (5.66), NLPR (0.03), NLR (5.97), SII (1589.25), and SIRI (2.31) were obtained using ROC curves. NLR and SII had the highest sensitivity (71.4%) and specificity (73.6%), respectively. Patients with above-cut-off levels of ISI, dNLR, NLPR, NLR, and SII had lower average survival time. Age (OR = 1.057, CI95%: 1.030-1.085, p < 0.001) and dNLR (OR = 1.131, CI95%: 1.061-1.206, p < 0.001) were the independent predictors for mortality in the studied COVID-19 patients based on multivariate logistic regression. Age and dNLR are valuable predictive factors for in-hospital death of ICU-admitted COVID-19 patients. Besides, other indices, AISI, NLPR, NLR, SII, and SIRI, may have an additional role that requires further investigation.

Prognostic value of the combined preoperative plasma fibrinogen and systemic inflammatory indexes in ESCC patients

The prognostic indexes based on the combination of preoperative fibrinogen and systemic inflammatory indexes may have greater predictive value in esophageal squamous cell carcinoma (ESCC). It was found that the predictive ability of F-NLR was more valuable than other systemic inflammatory indexes. The preoperative F-NLR score was closely related to the TNM stage, and could be used as an important independent prognostic index for patients with ESCC. Then the nomogram model constructed by F-NLR and TNM stage had higher prognostic ability than that of AJCC stage for ESCC patients. Preoperative F-NLR is a new independent prognostic index and a potential marker for treatment response monitoring in patients with ESCC.

Classical Prognostic Factors Predict Prognosis Better than Inflammatory Indices in Locally Advanced Cervical Cancer: Results of a Comprehensive Observational Study including Tumor-, Patient-, and Treatment-Related Data (ESTHER Study).

Systemic inflammation indices were found to be correlated with therapeutic outcome in several cancers. This study retrospectively analyzes the predictive role of a broad range of systemic inflammatory markers in patients with locally advanced cervical cancer (LACC) including patient-, tumor-, and treatment-related potential prognostic factors. All patients underwent definitive chemoradiation and pretreatment values of several inflammatory indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio, monocyte/lymphocyte ratio, systemic immune inflammation index (SII), leukocyte/lymphocyte ratio, combination of platelet count and NLR, aspartate aminotransferase/platelet ratio index, aspartate aminotransferase/lymphocyte ratio index, systemic inflammatory response index, and aspartate transaminase/neutrophil ratio index) were calculated. Their correlation with local control (LC), distant metastasis-free (DMFS), disease-free (DFS), and overall survival (OS) was analyzed. One hundred and seventy-three patients were included. At multivariable analysis significant correlations were recorded among clinical outcomes and older age, advanced FIGO stage, lower hemoglobin levels, larger tumor size, and higher body mass index values. The multivariate analysis showed only the significant correlation between higher SII values and lower DMFS rates (p < 0.01). Our analysis showed no significant correlation between indices and DSF or OS. Further studies are needed to clarify the role of inflammation indices as candidates for inclusion in predictive models in this clinical setting.