Neutrophil-to-lymphocyte Ratio Score Research Articles

Cardiac computer tomography-derived radiomics in assessing myocardial characteristics at the connection between the left atrial appendage and the left atrium in atrial fibrillation patients.

To evaluate the feasibility of utilizing cardiac computer tomography (CT) images for extracting the radiomic features of the myocardium at the junction between the left atrial appendage (LAA) and the left atrium (LA) in patients with atrial fibrillation (AF) and to evaluate its asscociation with the risk of AF. A retrospective analysis was conducted on 82 cases of AF and 56 cases in the control group who underwent cardiac CT at our hospital from May 2022 to May 2023, with recorded clinical information. The morphological parameters of the LAA were measured. A radiomics model, a clincal feature model and a model combining radiomics and clinical features were constructed. The radiomics model was built by extracting radiomic features of the myocardial tissue using Pyradiomics, and employing Least absolute shrinkage and selection operator (LASSO) method for feature selection, combining random forest with support vector machine (SVM) classifier. There were 82 cases in the AF group [44 males, 65.00 (59, 70)], and 56 cases in the control group (21 males, 61.09 ± 7.18). Age, BMI, hypertension, CHA2DS-VASC score, neutrophil to lymphocyte ratio (NLR), LAA volume, LA volume, the myocardial thickness at the junction of LAA and LA, the area, circumference, short diameter, and long diameter of the LAA opening, were significantly different between the AF group and the control group (P < 0.05). After conducting multivariate logistic regression analysis, it was found that BMI, the myocardial thickness at the junction of the LAA and the LA, LA volume, NLR and CHA2DS-VASC score were related to AF. 12 radiomics features of the myocardium at the junction of the LAA and the LA were extracted and identified. ROC curve analysis confirmed that the nomogram based on radiomics scores and clinical factors can effectively predict AF (AUC 0.869). Radiomics enables the extraction of the myocardial characteristics at the junction of the LAA and the LA, which are related with AF, facilitating the assessment of its relationship with the risk of AF. The combination of radiomics with clinical characteristics enhances the evaluation capabilities significantly.

Neutrophil-to-Lymphocyte Ratio and System Score Could Predict the Occurrence of Macrophage Activation Syndrome in Patients with Adult-Onset Still's Disease.

To investigate the characteristics of Adult-onset Still's disease (AOSD) patients with macrophage activation syndrome (MAS) and explore the risk factors for the development of MAS. A case-control study. Place and Duration of the Study: Department of Rheumatology and Immunology, the Second Hospital of Anhui Medical University, Anhui, China, from January 2008 to June 2024. AOSD patients with MAS (AOSD-MAS) and without MAS (AOSD-nonMAS) were compared. Clinical features and laboratory results from two groups were analysed using the independent samples t-test or Mann-Whitney U test. Fisher's exact test or Pearson's Chi-square test was used to compare the variables between the two groups. The multivariable logistic regression analysis was applied to identify AOSD with MAS-associated factors. The value of risk factors in predicting MAS occurrence was carried out by a receiver operating characteristic validation analysis. MAS patients showed higher prevalence of sore throat, splenomegaly and abnormal liver function, a lower prevalence of arthrodynia and higher levels of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, alanine aminotransferase, aspartate aminotransferase, lactic dehydrogenase, serum ferritin, D-Dimer levels, and a higher AOSD system score, along with a lower lymphocyte count (p <0.05). Multivariate logistic regression analysis identified NLR and AOSD system scores as predictors of MAS. An optimised threshold of 17.455 and 5.500 for NLR and AOSD system score yielded a sensitivity of 84.60% (38.50) and a specificity of 91.00%, (47.40). Early detection of MAS in AOSD may be facilitated by monitoring these factors, particularly NLR and AOSD system scores. Adult-onset still's disease, Macrophage activation syndrome, Risk factor.

Exploring the Association Between Blood Indices and Skin and Joint Activity of Psoriatic Arthritis

The exact cause of psoriatic arthritis is still unknown, but hypotheses suggest the role of hematological parameters in the onset and severity of the disease. This study evaluated the hematological indices and their association with skin and joint activity in psoriatic arthritis. This cross-sectional study included 74 patients with psoriatic arthritis. Demographical and clinical data, blood indices, psoriasis area and severity index (PASI) score and disease activity in psoriatic arthritis (DAPSA) scores were calculated for all patients. The mean age of the patients was 48.89±12.03 years and most were female (n=49). A significant correlation was observed between age and number of underlying diseases with PASI and DAPSA scores. Mean PASI and DAPSA scores were 5.19 and 15.13, respectively. The severity of psoriasis was mild in 58.1%, moderate in 36.5%, and severe in 4.5% of the cases. The activity of psoriatic arthritis was improved in 2.1%, low in 55.4%, moderate in 24.3%, and high in 1.8% of the patients. A significant association was found between erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), red cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), platelet (PLT) count, mean platelet volume (MPV), and PASI scores, while no statistically significant association was reported for PLR. A significant correlation was observed between ESR, CRP, RDW, NLR, PLR, PLT, and DAPSA scores, while no statistically significant association was found for MPV. The findings indicated that inflammatory and hematological markers can be helpful factors in evaluating the severity of psoriasis and psoriatic arthritis.

First-line carboplatin-based chemotherapy may be beneficial for HER2-low advanced breast cancer: A retrospective analysis

For patients with human epidermal growth factor receptor 2 (HER2)-low advanced breast cancer who had failed to meet with anthracycline or taxane, the application of HER2-targeted antibody-drug conjugates as second-line therapy could improve patients' outcomes, but it is unclear whether carboplatin-based first-line therapy will benefit these patients. This retrospective study was designed to explore whether carboplatin based first-line treatment could improve outcomes in HER2-low advanced breast cancer, and to analyze potential factors affecting efficacy and prognosis. 103 patients with HER2-negative metastatic breast cancer were treated with carboplatin based first-line therapy. The differences in progression-free survival (PFS), objective response rate (ORR), and adverse events were analyzed in different HER2 expression subgroups. The risk ratio (HR) and 95% confidence interval (CI) for PFS were estimated using Cox proportional risk models. The ORR for the whole group was 42.72% and the median PFS (mPFS) was 7.93 months (m). The ORR of HER2-low patients was significantly higher than HER2-zero patients (56.4% vs 27.1%, P = .003), and HER2-zero was an independent risk factor of ORR (OR 3.478, 95%CI 1.516–7.977, P = .003), especially in the HR-negative subgroup. The mPFS was significantly longer in patients with low neutrophil-to-lymphocyte ratio (NLR) scores than those with high NLR scores (P &lt; .001). Multivariate analysis showed that young breast cancer (age &lt; 40) (P = .006) and high NLR values (P = .001) were prognostic risk factors affecting mPFS. The main grade 3 to 4 adverse reactions were neutropenia (15.53%), anemia (15.53%), and leukopenia (11.65%). The first-line carboplatin-based chemotherapy is quite active and tolerable in patients with HER2-low advanced breast cancer, that higher response rates can be achieved. In cases where CDK4/6 inhibitors are inappropriate for use due to resistance to endocrine therapy or the urgent need for short-term clinical response, chemotherapy remains important. When it is necessary to consider the accessibility of antibody-drug conjugates and the economics of patients, carboplatin-based chemotherapy may be provided to HER2-low patients as a more convenient, cost-effective and efficient option on the front line. Forecasting the efficacy and prognosis via inflammatory index such as NLR before the commencement of the treatment could enhance the precision and efficiency of carboplatin-based regimens.

A potential inflammatory biomarker for advanced endometrial cancer treated with lenvatinib plus pembrolizumab.

To identify prognostic biomarkers that could predict how well patients will respond to lenvatinib/pembrolizumab (LEN/PEM). The utility of certain inflammatory biomarkers in endometrial liquid-based cytology (LBC) or peripheral blood samples, such as neutrophil counts, lymphocyte counts, and neutrophil-to-lymphocyte ratio (NLR) were explored. The study included 25 patients with advanced or recurrent endometrial cancer who had received LEN/PEM between August 2018 and March 2024. Predictors for overall response (OR), disease control, and progression-free survival, based on neutrophil/lymphocyte counts, NLR scores of the endometrial LBC prior to initial treatment, and peripheral blood prior to initial treatment and prior to LEM/PEM treatment were compared using a receiver operating characteristic curve. Significant predictors were evaluated using the log-rank test, and multivariate analysis. Although neutrophil counts and NLR score in endometrial LBC prior to initial treatment were better effective predictors for OR, the most accurate predictor of a progression-free status was NLR score in peripheral blood prior to LEM/PEM (0.722, 95% CI: 0.45-0.99, sensitivity: 57.1%, specificity: 94.4%). In peripheral blood prior to LEN/PEM, the lower NLR (NLR <5.39) group had a significantly longer PFS than the higher NLR (5.39 ≤ NLR) group (p = 0.023, median survival: 13.5 vs. 3.0 months), and tended to be independently correlated with PFS (hazard ratio = 2.571; 95% CI = 0.857-7.719; p = 0.092). Inflammatory biomarkers in endometrial LBC failed to predict the efficacy of LEN/PEM, while peripheral blood NLR score sampled prior to LEN/PEM potentially could be a significant predictor.

Predicting severity of inpatient acute cholangitis: combined neutrophil-to-lymphocyte ratio and prognostic nutritional index

The indicators for rapid assessment of the severity of acute cholangitis remain highly debated. Therefore, this study aimed to evaluate the efficacy of various inflammatory and immune-nutritional markers in predicting the severity of acute cholangitis. The prognostic roles of the following markers were investigated: Systemic Immune-Inflammatory Index (SII), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Albumin (Alb), and Prognostic Nutritional Index (PNI). A total of 139 patients with acute cholangitis were included in the study. The inflammatory and immune-nutritional markers with better predictive efficacy were selected to construct a combined predictive score. According to the survival ROC curve analysis, the combined NLR and PNI score, termed PNS, demonstrated the best prognostic performance with an AUC of 0.853. Multivariable survival analysis identified the following independent prognostic factors: PNS (p = 0.010) and Prothrombin Time (PT) (p = 0.003). The results indicate that PNS = 2 is associated with a higher incidence of severe cholangitis.

Comparative performance of prognostic models in predicting mortality in cirrhotic patients with spontaneous bacterial peritonitis

BACKGROUND: Prognostic models are widely used to predict mortality and management outcomes in liver cirrhosis patients with spontaneous bacterial peritonitis (SBP). However, it remains unclear whether these prognostic models can be applied to SBP. OBJECTIVES: To determine the predictive value of prognostic models, including Child-Turcotte-Pugh (CTP), Model for End-stage Liver Disease score- Sodium (MELD-Na), Albumin to Bilirubin (ALBI), and Neutrophil-to-Lymphocyte Ratio (NLR) in cirrhotic patients with SBP. METHODS: Seventy-four hospitalized cirrhotic patients with SBP were selected. Diagnosis was based on clinical, biochemical, ultrasonographic, and ascitic fluid analysis. CTP, MELD-Na, ALBI, and NLR scores at admission were calculated. The area under the ROC curve (AUC) was used to measure accuracy. Sensitivity and specificity were calculated for the optimal cut-off points. RESULTS: Our results revealed that patients who died had higher scores in NLR (MD: 7.51; 95% CI: 1.46–13.56; p: 0.0150), MELD-Na (MD: 10.09; 95% CI: 6.91–13.27; p: 0.0000), CTP (MD: 2.57; 95% CI: 1.82–3.32; p: 0.0000), and ALBI (MD: 0.47; 95% CI: 0.22–0.73; p: 0.0000) compared to survivors. Among these scores, the highest AUC in univariate logistic regression analysis were CTP, MELD-Na, NLR, and ALBI with 0.87, 0.82, 0.73, and 0.72, respectively. CONCLUSION: The combination of CTP and MELD-Na scores was superior to ALBI and NLR prognostic models. These can be used to assess liver function and prognosis in cirrhotic patients with SBP.

Significance of the geriatric nutritional risk index and neutrophil-to-lymphocyte ratio as prognostic indicators in older patients with gastric cancer: a retrospective cohort study

BackgroundThe number of older patients with cancer is increasing with the progression of aging societies. In the current study, we sought to clarify the prognostic values of the geriatric nutritional risk index (GNRI) as a nutritional index and the neutrophil-to-lymphocyte ratio (NLR) as an inflammatory index in older patients with gastric cancer.MethodsBetween January 2007 and December 2016, a total of 197 consecutive gastric cancer patients aged ≥ 75 years who underwent radical gastrectomy were enrolled in this study. The prognostic values of preoperative GNRI and NLR were assessed using time-dependent receiver operating characteristic curve analysis, log-rank tests, and Cox regression analysis.ResultsThe areas under the curve (AUCs) predicting 5-year overall survival (OS) were 0.668 for GNRI and 0.637 for NLR. The 5-year OS rates in the groups with low GNRI and NLR were 40.1% and 74.1% (p < 0.001), and those with high GNRI and NLR were 70.7% and 41.5% (p < 0.001), respectively. Multivariate analysis showed that GNRI (hazard ratio (HR): 0.584; 95% confidence interval (CI): 0.356–0.960; p = 0.034) and NLR (HR: 2.470; 95% CI: 1.503–4.059; p < 0.001) were independent predictors for OS. The GNRI–NLR score constructed with GNRI and NLR had a higher AUC (0.698) than those of GNRI or NLR alone and was an independent prognostic factor (HR, 0.486; 95% CI: 0.363–0.651; p < 0.001).ConclusionsGNRI and NLR are useful prognostic biomarkers in older patients with gastric cancer aged ≥ 75 years. The GNRI–NLR score could contribute to a more personalized and holistic approach to cancer treatment in this patient population.

The Association of Neutrophil to Lymphocyte Ratio and Other Complete Blood Count Parameters with Global Registry of Acute Coronary Events Risk Score in Patients with Non-ST Segment Elevation - Acute Coronary Syndrome: A Single-Center Study.

The involvement of inflammation in the start and advancement of atherosclerotic plaques in acute coronary syndrome has been clarified. White blood cell count and its differential are key inflammatory markers in cardiovascular disease, with the neutrophil-to-lymphocyte ratio (NLR) emerging as a marker of inflammation and a predictor of mortality in patients with acute coronary syndrome. The study aims to investigate the utility of neutrophil to lymphocyte ratio and other complete blood count parameters as a risk stratification tool and independent predictor of Global Registry for Acute Coronary Events (GRACE) risk score in Non-ST segment elevation acute coronary syndrome (NSTE-ACS). This was a cross-sectional retrospective single-center study conducted in Baghdad Teaching Hospital. A total of 110 patients diagnosed with NSTE-ACS were enrolled in this study. Demographic data and components that determine the GRACE risk score were recorded at admission to the emergency department alongside risk factors for coronary artery disease. Venous blood for relevant laboratory analysis was obtained from all patients. Patients were categorized into three risk groups according to the GRACE risk score. The study results were statistically analyzed using the one-way Analysis of Variance (ANOVA) test and the Kruskal Wallis test. Spearman test and multiple linear regression analysis were used for correlation and identification of independent predictors respectively. The mean age of patients was 59.4 years with a standard deviation of 21.1 years. The majority of them were males (61.8%). The predominant portion (102) had non-ST elevation myocardial infarction (NSTEMI). The mean total white blood cell count, absolute neutrophil count, absolute lymphocyte count, and neutrophil to lymphocyte ratio of the patients were 11.1 ×103/ml, 8.7 ×103/ml, 1.7 ×103/ml, and 5.9 respectively. The mean admission left ventricle ejection fraction (LV EF) of the patients was 52.5 % with a standard deviation of 9.6 %. There is a significant positive correlation between NLR and GRACE risk score (r = 0.339, P < 0.001) and a statistically significant negative correlation between NLR and LV EF (r = -0.385, P = 0.005). This study showed a statistically significant association and positive correlation between neutrophil-to-lymphocyte ratio (NLR) and Global Registry of Acute Coronary Events (GRACE) risk score, so neutrophil-to-lymphocyte ratio (NLR) is a valuable marker for risk stratification and prognosis in NSTE-ACS patients, serving as an independent predictor of the GRACE risk score.

Association Between Neutrophil-to-Lymphocyte Ratio and Sepsis Severity in ICU Patients.

Background Sepsis is a potentially fatal condition that necessitates prompt identification and assessment of its severity for effective management. However, evaluating sepsis severity using the Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE II) scores can be complex and costly. This study aimed to assess the association between neutrophil-to-lymphocyte ratio (NLR) and sepsis severity, as well as the role of NLR as a predictive indicator of sepsis severity in ICU patients. Methods This cross-sectional study was conducted among 180 ICU-admitted patients at Benazir Bhutto Hospital (BBH) in Rawalpindi, Pakistan, from January 2022 to January 2023. Participants were enrolled using defined inclusion and exclusion criteria along with consecutive sampling. Following ethical approval and informed consent, data were collected using a self-structured form. The study population was divided into three groups based on sepsis severity, which was assessed via the SOFA score. Data analysis was performed using IBM SPSS Statistics for Windows, Version 25.0 (Released 2017; IBM Corp., Armonk, NY, USA) through chi-squared tests, one-way ANOVA, Pearson's correlation, and a simple linear regression model, with a significance threshold set at p < 0.05. Results In the study population of 180 patients, the frequencies of sepsis, severe sepsis, and septic shock were 69 (38.34%), 86 (47.78%), and 25 (13.88%), respectively. Significant variations were observed among the three study groups in the means of the PaO2/FiO2 ratio, mean arterial pressure, Glasgow Coma Scale score, total bilirubin level, serum creatinine level, platelet count, SOFA score, neutrophil count, lymphocyte count, and NLR (p < 0.05). Pearson's correlation analysis indicated a strong positive correlation between the NLR and SOFA score, with a correlation coefficient (r) of 0.80 and significance at p < 0.001. Furthermore, linear regression analysis identified NLR as a significant predictor of sepsis severity, with a beta coefficient (β) of 3.55 and a 95% CI of 1.92-5.60 (p < 0.001). Conclusions In the current study, a positive and significant correlation was found between the NLR and the severity of sepsis. Higher NLR values were associated with increased SOFA scores, indicating a greater severity of sepsis. This study supports the use of NLR as a complementary and cost-effective tool for the early detection of high-risk patients with sepsis, facilitating timely interventions and improving outcomes, particularly in under-resourced healthcare settings.

Food Aversion, Systemic Inflammation and Intramuscular Adipose Tissue are Mortality Predictors in Advanced Lung Cancer Patients

ABSTRACTBackgroundCancer cachexia, systemic inflammation and muscle wasting are associated with poor survival in non–small cell lung cancer (NSCLC) patients (pts). We hypothesized whether neutrophil‐to‐lymphocyte ratio (NLR) and intramuscular adipose tissue/skeletal muscle index (IMAT/SMI) would predict prognosis in metastatic NSCLC (mNSCLC). In addition, we verified the role of a cancer cachexia questionnaire (EORTC‐QLQ‐CAX24) in the survival prediction.MethodsWe analysed a prospective cohort of 128 treatment‐naive mNSCLC pts (April 2017 to May 2020). We evaluated QoL using the EORTC‐QLQ‐C30 and EORTC‐QLQ‐CAX24 scales. We used the baseline NLR as a surrogate of systemic inflammation. We did evaluate IMAT/SMI using baseline plain computed tomography imaging. Cox multivariate regression, including age, sex, ECOG‐PS and histology as covariates, was performed.ResultsElevated NLR (hazard ratio [HR] 1.26, 95% confidence interval [CI]: 1.01–1.59, p = 0.038), IMAT/SMI ratio (HR 1.37, 95% CI: 1.03–1.84, p = 0.032) and high CAX24 scores for food aversion (HR 1.52, 95% CI: 1.13–2.03, p = 0.006) were associated with worse prognosis in mNSCLC. Indeed, higher ECOG‐PS (Spearman rho = 0.208, p = 0.027), CAX24 scores for food aversion (Spearman rho = 0.197, p = 0.036), loss of control (Spearman rho = 0.212, p = 0.024) and eating and weight loss worry domains (Spearman rho = 0.219, p = 0.020) were associated with elevated NLR levels.ConclusionsElevated NLR, IMAT/SMI ratio and CAX24 score for food aversion are independently associated with worse survival in mNSCLC. These data underscored the importance of cachexia features as negative prognostic factors in mNSCLC and revealed the EORTC‐QLQ‐CAX24 questionnaire as a new tool for helping clinical decision‐making.Trial Registration: ClinicalTrials.gov identifier: NCT03960034 and NCT04306094

The Prognostic Role of Advanced Lung Cancer Inflammation Index in Patients with Idiopathic Pulmonary Fibrosis

Background: The advanced lung cancer inflammation index (ALI) is an innovative and thorough measure designed to assess both inflammation and nutritional status. It includes parameters such as albumin, body mass index (BMI), and the neutrophil-to-lymphocyte ratio (NLR). This research seeks to evaluate the prognosis of idiopathic pulmonary fibrosis (IPF) patients by integrating both inflammation and nutritional status, distinguishing it from conventional inflammation biomarkers. Methods: This study included 102 patients with IPF. Clinical data were extracted from the patients’ medical records. NLR and ALI scores were calculated based on data collected at the initiation of antifibrotic treatment using the following formulas: Neut/Lym for NLR and albumin × BMI/NLR for ALI. Results: ALI values were assessed across various IPF patient subgroups based on gender–age–physiology (GAP) stages (1, 2, and 3), forced vital capacity (FVC) (median split: &lt;70% vs. ≥70%), diffusing capacity for carbon monoxide (DLCO) (&lt;51% vs. ≥51%), 6-Minute Walk Test (6MWT) (&lt;350 vs. ≥350), and the Charlson comorbidity index (CCI) (≤1 vs. &gt;1). Significant differences in ALI were observed with respect to GAP stages, FVC, DLCO, and 6MWT categories (p = 0.000 for all), but not for CCI categories (p = 0.233). Receiver operating characteristic (ROC) curve analysis revealed that ALI had a sensitivity of 63.6% and a specificity of 98.9% at a threshold of 11.2 (AUC = 0.945, 95% CI 0.892–0.998, p &lt; 0.000). Conclusions: Our findings indicate that ALI levels are significantly associated with disease severity and mortality in IPF patients.

Comparison of Trends of Procalcitonin and Neutrophil to Lymphocyte Ratio in Patients of Sepsis in Intensive Care Unit.

This study examines the trends of procalcitonin (PCT), neutrophil-to-lymphocyte ratio (NLR), and sequential organ failure assessment (SOFA) scores in intensive care unit (ICU) sepsis patients from different infection sources. Elevations in PCT and NLR reflect infection severity and predict sepsis prognosis. Combining them may enhance diagnostic accuracy and prognostic capabilities, despite variations in cut-off values. The study emphasizes the significance of these biomarkers in improving sepsis management and patient outcomes. This was a prospective observation study of ICU sepsis patients from different infection sources. Procalcitonin and NLR levels were measured on days 0, 2, and 4 of admission. Sequential organ failure assessment scores on these days were also analyzed. The cut-off values were obtained for predicting the prognosis of sepsis ICU patients. The study included 100 sepsis patients with an equal distribution of males and females and a mean age of 72 years. Procalcitonin showed a significant decrease over time, while NLR initially increased before decreasing on day 4, and SOFA scores showed no significant changes. Deceased patients had significantly higher PCT and SOFA scores on days 2 and 4. Receiver operating characteristic curve analysis showed promising predictive results for PCT on day 4 and SOFA scores on days 2 and 4. Understanding the trends of PCT and NLR concerning the infection source can provide deeper insights into their diagnostic and prognostic capabilities. This comparative analysis of PCT, NLR, and SOFA score trends contributes to the improvement of patient outcomes through accurate assessment of sepsis severity and progression, early diagnosis, and timely intervention. Jayara A, Mascarenhas J, Gandhi B, Nimbolkar J. Comparison of Trends of Procalcitonin and Neutrophil to Lymphocyte Ratio in Patients of Sepsis in Intensive Care Unit. Indian J Crit Care Med 2024;28(10):942-951.

The relationship between severity of periapical periodontitis and next-generation systemic inflammatory biomarkers in children with early childhood caries

IntroductionEarly childhood caries (ECC) is closely associated with poor oral hygiene and cariogenic diet. Untreated ECC results in recurrent odontogenic infections and local and systemic consequences. In this study, our goal is to assess the relationship between the intensity of odontogenic infection-associated periapical periodontitis and new generation of systemic inflammatory markers (SII, NLR, PLR) in ECC-affected children.Material and method95 healthy patients in early childhood and demonstrating periapical periodontitis who underwent dental treatment under general anesthesia (GA) in the last two years were included in the present study. Their periapical statuses were dichotomized as mild and severe. Periapical Index (PAI) scores of 2 and 3 were regarded as “mild” whereas 4 and 5 as “severe”. Of the complete blood test (CBC) parameters, systemic inflammatory index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), neutrophilic granulocyte (NEUT), lymphocyte (LYMPH) and platelet (PLT) were recorded. The relationship between the degree of periapical pathology and the evaluated markers was assessed using Receiver Operating Characteristic (ROC) analysis.ResultsResults of the present study revealed that mean NLR, SII and NEUT index scores of the patients having severe periapical periodontitis were statistically higher than those of the ones with mild pathology (p < 0.05). A positive, statistically significant interrelationship was found between the number of teeth demonstrating a PAI score of severe periapical periodontitis with the signs of exacerbation (PAI 5) and NLR and SII values (p < 0.05). Area under the ROC curve (AUC) values for NLR and SII were determined as 66.8% and 66.6% respectively, indicating that classification performance was sufficient and statistically significant (p < 0.05).ConclusionPostponing the management of odontogenic infections will induce some complications such as, infective endocarditis and cause the systemic inflammatory process to continue by aggravating the systemic effects of local lesions. Thus, underlying mechanism should be eliminated and oral hygiene should be maintained, also novel biomarkers may be recommended to be used for the decision-making process for the teeth with persistent periapical lesions unresponsive to treatment.

Assessment of Severity of ST-Elevation Myocardial Infarction Using Neutrophil-to-Lymphocyte Ratio and Its Correlation With Thrombolysis in Myocardial Infarction Risk Score.

Introduction ST-segment elevation myocardial infarction (STEMI) is an acute presentation of myocardial infarction (MI). It is caused by the complete occlusion of coronary arteries by a thrombus secondary to atherosclerotic plaque formation within these vessels. The Thrombolysis in Myocardial Infarction (TIMI) risk score is a seven-item scale used to categorize patients based on risk and to predict mortality in acute MI patients. The neutrophil-to-lymphocyte ratio (NLR) is an independent assessor of prognosis in cardiovascular diseases; it holds a pivotal role in inflammation and atherosclerotic plaque formation. Methodology A hospital-based cross-sectional study was undertaken among 76 patients who had acute MI, out of which 50 patients who had STEMI were included and 26 patients were excluded (13 patients had non-ST-segment elevation myocardial infarction (NSTEMI), four patients had unstable angina, nine patients had arrhythmias). After detailed clinical and laboratory evaluation, NLR was calculated for all 50 patients, and they were distributed into low NLR, intermediate NLR and high NLR groups based on the ratio. Patients then underwent coronary angiography, and their TIMI-STEMI score was calculated and compared with their NLR score. Using SPSS software (IBM Corp., Armonk, NY, USA), the collected data was statistically analyzed. Results Fifty patients with acute coronary syndrome (ACS) based on their NLR were distributed into three categories: Category A with low NLR of <1.7 (n=2), Category B with intermediate NLR of 1.7-3 (n=10), and Category C with high NLR of >3 (n=38). In this study, there were more male patients (two in Category A, six in Category B, 28 in Category C), mean age group was 55 +/- 10 (one in Category A, five in Category B, 32 in Category C), the most common presentation was chest pain (two in Category A, nine in Category B, 37 in Category C), the most common risk factor was smoking (two in Category A, six in Category B, 15 in Category C), the angiographic TIMI-STEMI score was calculated and two, six, and two patients in Category A, Category B, Category C respectively had a low score of <4, four and 36 patients in Category B and C respectively had a high score of >4, and there was a significant correlation between high NLR and high TIMI-STEMI score (P = 0.001). Conclusion This study infers that a simple bedside parameter like the NLR, which is easily available and affordable, can predict the outcome in STEMI patients and stands on par with conventional angiographic scores.

Neutrophil-to-Lymphocyte Ratio, Lymphocyte-to-Monocyte Ratio and Platelet-to-Lymphocyte Ratio as Predictors of Short- and Long-Term Outcomes in Ischemic Stroke Patients with Atrial Fibrillation.

Inflammatory response plays essential roles in the pathophysiology of both ischemic stroke and atrial fibrillation (AF). We aimed to investigate whether composite inflammatory markers, including neutrophil to lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR), can serve as early predictors of short- and long-term outcomes in ischemic stroke patients with AF. Ischemic stroke patients with AF were enrolled in this cohort study. The primary outcome was 1-year functional dependence or death (modified Rankin scale (mRS) score 3-6). Secondary outcomes included hemorrhagic transformation (HT) and early neurological deterioration (END, increase in the National Institutes of Health Stroke Scale (NIHSS) ≥4 within 7 days). Partial correlations were performed to assess the correlation between systemic inflammation markers and admission NIHSS scores. Univariate and multivariate logistic analyses were performed to investigate whether systemic inflammatory markers were independent predictors of adverse outcomes. A total of 408 patients were included. Partial correlation analysis revealed statistically significant but weak correlations between the NLR (r = 0.287; P < 0.001), PLR (r = 0.158; P = 0.001) and admission NIHSS score. Compared with patients without HT or END, patients who developed HT or END had higher NLR and PLR, and lower LMR. Patients in the functional dependence or death group had significantly higher NLR and PLR, and lower LMR than those in the functional independence group (all P < 0.001). Multivariate logistic analysis indicated that NLR, LMR and PLR were independent predictors of HT (OR = 1.069, 0.814 and 1.003, respectively), END (OR = 1.100, 0.768 and 1.006, respectively) and adverse 1-year functional outcome (OR = 1.139, 0.760 and 1.005, respectively). NLR, LMR and PLR were independent predictors for in-hospital HT, END and long-term functional outcome in ischemic stroke patients with AF. Close monitoring of these inflammatory markers may help guide risk stratification and clinical treatment strategies.

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]

Neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio associated with 28-day all-cause mortality in septic patients with coronary artery disease: a retrospective analysis of MIMIC-IV database

BackgroundHigh Neutrophil-to-Lymphocyte Ratio (NLR), Monocyte-to-Lymphocyte Ratio (MLR), Platelet-to-Lymphocyte Ratio (PLR) were associated with worse prognosis of patients with sepsis. In-hospital mortality has been reported to be higher in patients with coronary artery disease (CAD) and sepsis than those with sepsis alone. However, the relationship between NLR, MLR, PLR and mortality in septic patients with coronary artery disease (CAD) remains unclear. The study aimed to explore the association between NLR, MLR, PLR and 28-day all-cause mortality in septic patients with CAD.MethodsWe performed an observational cohort study of septic patients with CAD from the Medical Information Mart for Intensive Care (MIMIC)-IV database between 2008 and 2019. The patients were categorized by three group (Q1: low levels, Q2: medium levels, Q3: high levels) based on tertiles of NLR, MLR, and PLR. The associations between NLR, MLR, PLR and 28-day all-cause mortality were examined using the Cox proportional hazards model. Subsequently, we applied receiver operating characteristic (ROC) analysis for predicting 28-day mortality in septic patients with CAD by combining NLR, MLR and PLR with the modified sequential organ failure assessment (mSOFA) scores.ResultsOverall 1,175 septic patients with CAD were included in the study. Observed all-cause mortality rates in 28 days were 27.1%. Multivariate Cox proportional hazards regression analysis results showed that 28-day all-cause mortality of septic patients with CAD was significantly related to rising NLR levels (adjusted hazard ratio [aHR]: 1.02; 95% confidence interval [CI]: 1.01–1.02; P < 0.001), MLR levels (aHR: 1.29; 95%CI: 1.18–1.41; P < 0.001), and PLR levels (aHR: 1.0007; 95%CI: 1.0004–1.0011; P < 0.001). Meanwhile, the higher levels (Q3) group of NLR, MLR, and PLR also had a higher risk of 28-day all-cause mortality than the lower (Q1) group. The area under the ROC curve of NLR, MLR, PLR, and mSOFA score were 0.630 (95%CI 0.595–0.665), 0.611 (95%CI 0.576–0.646), 0.601 (95%CI 0.567–0.636) and 0.718 (95%CI 0.689–0.748), respectively. Combining NLR, MLR, and PLR with mSOFA scores may improve ability of predicting 28-day mortality (AUC: 0.737, 95%CI 0.709–0.766).ConclusionHigher levels of NLR, MLR and PLR were associated with 28-day all-cause mortality in septic patients with CAD. Further investigation will be needed to improve understanding of the pathophysiology of this relationship.

The predictive value of neutrophil–lymphocyte ratio combined with the Global Registry of Acute Coronary Events score for inhospital adverse cardiovascular events in patients with acute ST-elevation myocardial infarction

Background: The research explores the predictive efficacy of the neutrophil-to-lymphocyte ratio (NLR) in conjunction with the Global Registry of Acute Coronary Events (GRACEs) score for inhospital major adverse cardiovascular events (MACEs) among acute ST-segment elevation myocardial infarction (STEMI) subjects with primary percutaneous coronary intervention (PCI) history. Materials and Methods: Patients were categorized into MACE (n = 58) and non-MACE cohorts (n = 184) based on MACE occurrence events during hospitalization. The predictive value of the NLR, GRACE score, and their combination for inhospital MACE events in STEMI subjects was assessed by the receiver operating characteristic curve (ROC). Results: NLR (8.99 [5.06, 12.01] vs. 5.15 [3.13, 7.66]) and GRACE scores (159.62 ± 43.39 vs. 116.96 ± 28.15) within MACE group notably surpassed the non-MACE group (P &lt; 0.05). ROC curve analysis demonstrated that the area under the curve (AUC) for NLR in forecasting inhospital MACE events was 0. 72 (95% confidence interval [CI]: 0.645–0.795), with 0.655 sensitivity and 0.723 specificity, and optimal cutoff value as 7.01. The AUC for the GRACE score was 0.791 (95% CI: 0.717–0.865), with 0.862 sensitivity and 0.598 specificity, and the optimal cutoff value was 121.5. The combined AUC of NLR and GRACE score was 0.814 (95% CI: 0.745–0.884), with 0.707 sensitivity and 0.837 specificity. Conclusion: Both NLR and GRACE score independently predict inhospital MACE events in STEMI patients post-PCI. Integration of the NLR and GRACE score enhances accuracy in forecasting inhospital MACE event occurrences.

The Role of Neutrophil-to-Lymphocyte Ratio (NLR) in Urosepsis-Associated Delirium.

Introduction Urosepsis is a systemic, dysregulated, inflammatory reaction to a urinary tract infection and can have severeeffects on all systems, which can often leadto multi-organ failure and death. Sepsis-associated delirium is a common complication in critically ill patients, contributing to adverse outcomes and prolonged hospital stays. The neutrophil-to-lymphocyte ratio (NLR) has emerged as a potential biomarker for sepsis severity and prognosis. Material and methods Our study investigates the utility of NLR in the diagnostic strategies for urosepsis-associated delirium in a cohort of 76 patients with sepsis and septic shock admitted to the Intensive Care Unit (ICU).We performed a single-centre retrospective observational study in the Craiova Clinical Emergency Hospital between June and October 2023. Results Patients with urological conditions that were diagnosed with urosepsis included 76 patients. These patients were clustered as follows: a group with delirium (37 patients, 48.7%) and another group without delirium (39 patients, 51.3%). Complete blood count parameters were obtained upon admission, and delirium was assessed using standardized diagnostic criteria. We identified a strong significant positive correlation between elevated NLR values on ICU admission and the development of delirium during hospitalization in urosepsis patients. Receiver operating characteristic (ROC) analysis showed similar diagnostic performance for NLR score. Conclusions The findings suggest that NLR may serve as a valuable biomarker for early detection, risk stratification, and guiding therapeutic interventions in urosepsis-associated delirium, thus improving outcomes in critically ill patients.