Optimal Cut-off Value Of Neutrophil-to-lymphocyte Ratio Research Articles

Association of benign and malignant neoplastic lesions of the eyelid with systemic inflammatory markers

ABSTRACT Clinical relevance The role and prognostic significance of systemic inflammatory markers in various malignancies have been the subject of investigation. The role of these inflammatory markers in eyelid lesions remains to be elucidated. Background Benign and malignant lesions of the eyelid are common presentations in eye clinics. Systemic inflammatory markers derived from a complete blood count may provide insight into the benign-malignant differentiation of the lesion. Methods This study included 134 patients who underwent surgery for eyelid lesions between 2021–2023. The lesions were evaluated by oculoplastic surgeons and operated on with a preliminary diagnosis of benign or malignant. According to the histopathological diagnosis, benign lesions were included in Group 1 and malignant lesions in Group 2. The neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII) (NxP/L) based on neutrophil, lymphocyte, and platelet counts were calculated from the preoperative complete blood count of all patients. Results Eighty-eight patients were included in Group 1 and 46 patients in Group 2. There were 41/47 (Female/Male) in Group 1 and 19/27 (F/M) males in Group 2 (p = 0.345). The mean age was 62.91 ± 9.04 years in Group 1 and 65.41 ± 8.76 years in Group 2 (p = 0.127). The preliminary diagnosis and histopathological diagnosis were incompatible in 5 cases in both groups. In Group 1: NLR = 1.82 ± 0.72, PLR = 124.50 ± 45.19 and SII = 454.51 ± 220.20, in Group 2: NLR = 2.48 ± 0.89, PLR = 128.12 ± 49.58 and SII = 590.22 ± 271.09. NLR and SII differences between groups were statistically significant, while PLR was similar (p < 0.001, p = .002, p = .671). ROC curve analysis showed that the optimal cut-off values for NLR, PLR, and SII were 1.99, 119.16, and 475.21, respectively. Conclusion High levels of NLR and SII in eyelid tumours can be used as an adjunct to examination findings in the preliminary diagnosis of the lesion as benign or malignant and may influence surgical planning.

Systemic Immune-Inflammation Indices Could Be Additional Predictive Markers for Cesarean Scar Pregnancy.

Cesarean scar pregnancy (CSP) is characterized by a gestational sac fully or partially implanted in the scar from a previous cesarean section. Systemic immune-inflammation indices (SIIs) have recently been discussed as additional diagnostic markers in placenta accreta and preeclampsia. CSP shares a similar pathogenesis with these diseases, suggesting that assessing the SIIs and neutrophil-to-lymphocyte ratio (NLR) could enhance additional predictability in diagnosing CSP. In this study, we analyzed the complete blood counts between 264 women who were confirmed with CSP by ultrasound and 295 women who underwent elective termination. The mean counts of total white cells and neutrophils were significantly higher, whereas the counts of monocytes, lymphocytes, and platelets were significantly lower in the CSP group compared to the control group (p<0.001). Additionally, the SII, systemic inflammation response index (SIRI), or NLR was significantly higher in the CSP group compared to the control group (p<0.0001). Given the limited effect of SII and SIRI on the increased risk of developing CSP, the optimal cut-off value for NLR in predicting CSP was 2.87 (area under the curve [AUC] 0.656, 68% sensitivity). The optimal cut-off value for NLR in predicting type 2 CSP was 2.91 (AUC 0.690, 71% sensitivity). Although ultrasound or magnetic resonance imaging images are a gold standard for visualizing the gestational sac's location in the diagnosis of CSP, assessing peripheral blood tests is cost-effective, and NLR may provide additional diagnosis value for CSP.

Neutrophil to lymphocyte ratio and five-year mortality in patients with acute ischemic stroke

BackgroundPrevious studies linked neutrophil to lymphocyte ratio (NLR) with short-term mortality after acute ischemic stroke (AIS), but its relationship with long-term mortality remains unclear. This study investigates the association between NLR and five-year mortality in AIS patients. MethodWe analyzed 416 AIS patients from April 2012 to January 2016 at Zhangjiagang TCM Hospital. Admission NLR was divided into quartiles: Q1 (<2.00), Q2 (2.00–3.05), Q3 (3.06–5.46), and Q4 (≥5.46). We assessed 5-year all-cause and vascular mortality using Kaplan-Meier, Cox regression, and receiver operating characteristic (ROC) curve analyses. ResultsOver five years, 134 (32.2 %) all-cause deaths and 114 (27.4 %) vascular deaths occurred. Elevated NLR was significantly associated with increased risks of all-cause and vascular mortality. Multivariate Cox analysis identified stroke history (HR: 1.57, 95 % CI 1.08–2.30), baseline National Institutes of Health Stroke Scale (NIHSS) score (HR: 1.09, 95 % CI 1.05–1.12), and NLR (HR: 1.09, 95 % CI 1.05–1.12) as independent risk factors for all-cause mortality. These factors also predicted 5-year vascular mortality: stroke history (HR: 1.65, 95 % CI 1.10–2.49), NIHSS score (HR: 1.10, 95 % CI 1.06–1.13), and NLR (HR: 1.08, 95 % CI 1.05–1.10). NLR quartiles were significantly linked to both outcomes: all-cause mortality HRs were Q2 (1.87, 95 % CI 1.00–3.51), Q3 (2.40, 95 % CI 1.31–4.39), Q4 (2.77, 95 % CI 1.47–5.24), P for trend = 0.001; vascular mortality HRs were Q2 (1.76, 95 % CI 0.88–3.55), Q3 (2.34, 95 % CI 1.14–4.40), Q4 (2.57, 95 % CI 1.28–5.16), P for trend = 0.002. Kaplan-Meier survival analysis revealed significantly higher mortality rates in higher NLR quartiles (log-rank p < 0.001). ROC analysis identified optimal NLR cutoff values of 3.42 for predicting 5-year all-cause mortality (AUC 0.689) and 3.51 for vascular-cause mortality (AUC 0.700), with moderate sensitivity and specificity. ConclusionsHigher NLR at admission was linked with five-year all-cause mortality and mortality attributed explicitly to vascular causes in AIS patients.

Pre-stereotactic radiosurgery neutrophil-to-lymphocyte ratio predicts post-stereotactic radiosurgery survival of patients with brain metastases concurrently treated with immune checkpoint inhibitors.

Treatment with immune checkpoint inhibitors (ICIs) has shown clinical benefit for a wide range of cancer types. The neutrophil-to-lymphocyte ratio (NLR) reportedly correlates with survival time or progression-free survival in patients treated with ICIs. However, NLR has not yet been assessed in patients with brain metastases (BMs) receiving stereotactic radiosurgery (SRS) combined with concurrent ICIs. The authors investigated the predictive impact of NLR on the survival data of patients with BMs who received SRS with concurrent ICIs. The clinical records of patients who had undergone SRS with concurrent ICIs for BMs between January 2015 and August 2023 were retrospectively analyzed. NLR was calculated using the data obtained from the last examination prior to SRS. The optimal NLR cutoff value was identified by receiver operating characteristic (ROC) curve analysis for time-to-event data (overall survival [OS] ≤ 18 months). OS and intracranial disease progression-free survival (IC-PFS) rates were compared between the two NLR groups. Of the 185 eligible patients included, 132 were male. The median (IQR) patient age was 69 (61-75) years. The primary cancers were lung, genitourinary, skin, breast, gastrointestinal, and others in 132, 23, 22, 2, 2, and 4 patients, respectively. The post-SRS median OS and IC-PFS times for the entire cohort were 18.4 (95% CI 14.0-23.1) months and 9.2 (95% CI 6.9-10.8) months, respectively. ROC curve analysis identified the optimal NLR cutoff value for 18-month OS to be 5.0 (area under the curve 0.64, Youden index 0.31). Kaplan-Meier analysis revealed that patients with high NLR (> 5) had a significantly shorter OS (median survival time 10.9 months for 48 patients vs 22.2 months for 137 patients, HR 2.0, 95% CI 1.3-3.0, p < 0.001). Similarly, a significant difference in median IC-PFS was noted: 4.8 months with high NLR versus 10.7 months with low NLR (HR 1.7, 95% CI 1.2-2.5, p = 0.003). The authors found elevated pre-SRS NLR (> 5) to be associated with shorter OS and IC-PFS after SRS with concurrent ICIs for BMs. NLR is a simple, cost-effective, and widely accessible biomarker, which can thus be used for managing patients with BMs receiving SRS concurrently with ICIs. Further investigation in other large datasets is, however, required to validate these findings.

Role of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in diagnosing neonatal sepsis.

Clinical manifestations of neonatal sepsis are often unspecified. Therefore, sepsis biomarkers could be used to support diagnosis while waiting for blood culture results, such as the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). The aim of this study was to evaluate the role of NLR and PLR as diagnostic markers in neonatal sepsis. A cross-sectional study was conducted at Haji Adam Malik General Hospital, Medan, Indonesia, from April to October 2019. This study included neonates aged less than 28 days, diagnosed with suspected sepsis, and had no previous history of antibiotics administration. Patients underwent clinical assessment, laboratory examination, and blood culture. Patients were grouped into sepsis and non-sepsis based on the blood culture results. The median hematological examination and the range of NLR and PLR in both the sepsis and non-sepsis groups were subjected to analysis using the Mann-Whitney U test to assess differences. NLR and PLR optimal cut-off values were determined using a receiver operator curve (ROC) with a confidence interval of 95%. A total of 137 neonates were enrolled, of which 49 were classified as sepsis and 89 as non-sepsis based on blood culture results. The optimal cutoff values for NLR and PLR were 2.75 and 11.73. Using those cutoff values, NLR and PLR could predict neonatal sepsis with sensitivities of 52.1% and 47.9%, specificities of 50.6% and 47.2%, area under the curve (AUC) of 0.46 and 0.47, with p=0.525 and p=0.662, respectively. Further investigation is warranted to refine the NLR and PLR utility and enhance diagnostic accuracy in clinical practices.

Prediction of outcomes after chemoradiotherapy for cervical cancer by neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio

Background Cervical cancer ranks as the second most fatal tumour globally among females. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been widely applied to the diagnosis of cancers. Methods The clinicopathologic data of 180 patients with stage IB2-IIB cervical cancer who underwent radical concurrent chemoradiotherapy from January 2018 to December 2019 were retrospectively analysed. Receiver operating characteristic (ROC) curves were plotted to analyse the optimal cut-off values of NLR and PLR for predicting the therapeutic effects of concurrent chemoradiotherapy. The associations of PLR and other clinicopathological factors with 1-year survival rates were explored through univariate analysis and multivariate Cox regression analysis, respectively. Results NLR was significantly associated with the therapeutic effects of neoadjuvant therapy, with the optimal cut-off value of 2.89, area under the ROC curve (AUC) of 0.848 (95% confidence interval [CI]: 0.712–0.896), sensitivity of 0.892 (95% CI: 0.856–0.923) and specificity of 0.564 (95% CI: 0.512–0.592). PLR had a significant association with the therapeutic effects of neoadjuvant therapy, with the optimal cut-off value of 134.27, AUC of 0.766 (95% CI: 0.724–0.861), sensitivity of 0.874 (95% CI: 0.843–0.905) and specificity of 0.534 (95% CI: 0.512–0.556). Lymphatic metastasis ([95% CI: 1.435–5.461], [95% CI: 1.336–4.281], depth of invasion ([95% CI: 1.281–3.546], [95% CI: 1.183–3.359]) and tumour size ([95% CI: 1.129–3.451], [95% CI: 1.129–3.451]) were independent factors influencing the overall survival and disease-free survival (DFS) of patients with cervical cancer. NLR (95%CI: 1.256-4.039) and PLR (95%CI:1.281-3.546) were also independent factors affecting DFS. Conclusion NLR and PLR in the peripheral blood before treatment may predict DFS of patients with stage IB2-IIB cervical cancer.

The role of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and systemic immune inflammation index in predicting the necessity for surgery and therapeutic surgery in patients with anterior abdominal stab wounds.

In this diagnostic accuracy study, we examined the effectiveness of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) in predicting the need for surgical intervention in patients with anterior abdominal stab wounds (AASW) who exhibit unclear findings on physical examination yet remain hemodynamically stable. Over a 7-year period, patients with AASW were retrospectively analyzed. Patients were divided into two groups as surgical (SG) and nonsurgical group (nSG). The SG were also divided into two groups as therapeutic surgery (TS) group and the non-therapeutic surgery (nTS) group. The groups were compared in terms of NLR, PLR values and SII scores. In a retrospective analysis of 199 patients with AASW, NLR, PLR and SII obtained during clinical follow-up of patients with AASW in whom the necessity for immediate surgery was unclear significantly predicted therapeutic surgery (p<0.001 for all). These parameters did not show a significant difference in predicting the need for surgery at the admission. NLR showed an AUC of 0.971 and performed significantly better than PLR and SII (AUC=0.874 and 0.902, respectively) in predicting TS. The optimal cut-off value for NLR was 3.33, with a sensitivity of 98.2%, a specificity of 90%, and a negative likelihood ratio of 0.02. Time from admission to surgery was significantly shorter in the TS group (p=0.001). NLR, PLR and SII values may be useful in predicting therapeutic surgery during clinical follow-up in AASW patients with unclear physical examination findings and in whom immediate surgical decisions cannot be made.

The Role of Different Systemic Inflammatory Indexes Derived from Complete Blood Count in Differentiating Acute from Chronic Calculus Cholecystitis and Predicting Its Severity.

This study aimed to evaluate the diagnostic value of the different Complete blood count-derived systemic inflammation indexes, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and neutrophil to lymphocyte × platelet ratio (NLPR) in differential diagnosing the chronic calculus cholecystitis (CCC) and the acute calculus cholecystitis (ACC), as well as determining the severity of ACC. 105 CCC and 88 ACC patients were enrolled. NLR, PLR, SII, and NLPR were evaluated in both cohorts as well as in different severity levels of ACC. The severity of ACC was determined based on the Tokyo Guidelines. Receiver operating characteristic (ROC) curve and Univariate/multivariate regression analyses were conducted. The levels of NLR, PLR, SII, and NLPR were significantly higher in the ACC group compared to the CCC group. The optimal cutoff values for NLR, PLR, SII, and NLPR were determined to be 3.89, 144.7, 896.8, and 0.031 respectively. NLR>3.89 demonstrates the highest predictive capability with an AUC of 0.801 and a sensitivity of 72.73%. Multivariate analysis showed that NLR>3.89 (OR: 4.169, p = 0.004) and NLPR>0.031 (OR: 4.304, p = 0.005) were dominant in distinguishing ACC from CCC. In ACC patients, the levels of NLR, SII, and NLPR were significantly higher in the Moderate to Severe-degree ACC (MS-ACC) group than in Mild-Degree ACC (M-ACC). NLPR > 0.044 exhibited the highest predictive ability with an AUC of 0.778 and a specificity of 91.67%. Multivariate analysis showed that NLR>6.399 (OR: 10.308, p = 0.000) was a possible independent prognostic factor for accessing the severity of ACC. Systemic inflammation indexes can be useful in predicting the risk of ACC and MS-ACC. NLR demonstrates the best distinguishing power and sensitivity for distinguishing ACC from CCC, while NLPR shows the best predictive power and specificity for predicting the severity of ACC.

An analysis of neutrophil-to-lymphocyte ratios and monocyte-to-lymphocyte ratios with six-month prognosis after cerebral contusions.

Neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) have been identified as potential prognostic markers in various conditions, including cancer, cardiovascular disease, and stroke. This study aims to investigate the dynamic changes of NLR and MLR following cerebral contusion and their associations with six-month outcomes. Retrospective data were collected from January 2016 to April 2020, including patients diagnosed with cerebral contusion and discharged from two teaching-oriented tertiary hospitals in Southern China. Patient demographics, clinical manifestations, laboratory test results (neutrophil, monocyte, and lymphocyte counts) obtained at admission, 24 hours, and one week after cerebral contusion, as well as outcomes, were analyzed. An unfavorable outcome was defined as a Glasgow Outcome Score (GOS) of 0-3 at six months. Logistic regression analysis was performed to identify independent predictors of prognosis, while receiver characteristic curve analysis was used to determine the optimal cutoff values for NLR and MLR. A total of 552 patients (mean age 47.40, SD 17.09) were included, with 73.19% being male. Higher NLR at one-week post-cerebral contusion (adjusted OR = 4.19, 95%CI, 1.16 - 15.16, P = 0.029) and higher MLR at admission and at 24h (5.80, 1.40 - 24.02, P = 0.015; 9.06, 1.45 - 56.54, P = 0.018, respectively) were significantly associated with a 6-month unfavorable prognosis after adjustment for other risk factors by multiple logistic regression. The NLR at admission and 24 hours, as well as the MLR at one week, were not significant predictors for a 6-month unfavorable prognosis. Based on receiver operating characteristic curve analysis, the optimal thresholds of NLR at 1 week and MLR at admission after cerebral contusion that best discriminated a unfavorable outcome at 6-month were 6.39 (81.60% sensitivity and 70.73% specificity) and 0.76 (55.47% sensitivity and 78.26% specificity), respectively. NLR measured one week after cerebral contusion and MLR measured at admission may serve as predictive markers for a 6-month unfavorable prognosis. These ratios hold potential as parameters for risk stratification in patients with cerebral contusion, complementing established biomarkers in diagnosis and treatment. However, further prospective studies with larger cohorts are needed to validate these findings.

Effect of neutrophil to lymphocyte ratio on prognosis of elderly patients with severe sepsis combined with diabetes mellitus

BackgroundTo investigate the predictive value of neutrophil-to-lymphocyte ratio (NLR) in the short-term prognosis of elderly patients with severe sepsis combined with diabetes mellitus (DM).MethodsThe clinical data of 162 elderly patients with severe sepsis combined with DM from January 2018 to December 2022 were retrospectively collected. These patients were divided into a survival group (n = 104) and a death group (n = 58) according to 90-day prognosis. The number of neutrophils, lymphocytes, and NLR were compared. The optimal cut-off value for NLR to predict 90-day prognosis in elderly patients with severe sepsis combined with DM was determined using Receiver Operator Characteristic (ROC) curves, and the patients were divided into high and low NLR groups depending on the optimal cut-off value. The Kaplan-Meier method was used to plot the survival curves of the high and low NLR groups. Risk factors for the 90-day death in elderly patients with severe sepsis combined with DM were analyzed by a multivariate cox regression model.ResultsThere were no significant differences in gender, age, history of hypertension and hyperlipidemia, intensive care unit (ICU) stay, duration of mechanical ventilation, and oxygenation index between the survival group and death group (p > 0.05). However, acute physiological and chronic health evaluation II (APACHE II) scores, and sepsis-related organ failure assessment (SOFA) scores were significantly lower in the survival group compared with the death group (p < 0.05). In the survival group, neutrophils counts and NLR were much lower than those in the death group, while lymphocytes counts were much higher (p < 0.05). ROC curves showed that the optimal cut-off value for NLR to predict 90-day mortality in elderly patients with severe sepsis combined with DM was 3.482. Patients were divided into high NLR and low NLR groups based on whether NLR was ≥ 3.482. In terms of the log-rank test results, patients in the low NLR group had a significantly higher 90-day survival rate than those in the high NLR group (Logrank χ2 = 8.635, p = 0.003). The multivariate cox regression model showed that the length of ICU stay longer than 15 days and NLR ≥ 3.482 were independent risk factors for 90-day prognosis in elderly patients with severe sepsis combined with DM.ConclusionNLR ≥ 3.482 can be used to predict whether poor prognosis occurs in the short term after illness in elderly patients with severe sepsis combined with DM, and has good assessment value.

The value of preoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and red blood cell distribution width in predicting positive surgical margin after laparoscopic radical prostatectomy.

Prostate cancer (PCa) is one of the most common malignant tumors in men, and laparoscopic radical prostatectomy (LRP) is commonly used to treat localized and advanced PCa. Positive surgical margin (PSM) is one of the most frequent problems faced by surgeons. This study aimed to explore the value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and red blood cell distribution width (RDW) in predicting PSM after LRP. Three hundred and twenty patients with PCa were admitted and underwent LRP in Beijing Chaoyang Hospital from January 2017 to June 2023. Patients were randomly divided into a training set (225 cases) and a validation set (95 cases) in a 7:3 ratio. NLR, PLR, and RDW were significantly higher in the PSM group than in the negative surgical margins (NSM) group. In addition, the NLR, PLR, and RDW values correlated with clinical T stage, Gleason score, and seminal vesicle invasion in the PSM group. In training set, ROC curve analysis revealed that the optimal cutoff values of NLR, PLR, and RDW for predicting postoperative PSM in PCa were 2.31, 115.40, and 12.85%, respectively. Multivariate Logistic regression analysis showed NLR and RDW were the clinical independent predictors. The area under the curve (AUC, 0.770, 95% CI 0.709-0.831) for postoperative PSM was the highest when a combination of the three parameters was used, with sensitivity and specificity of 62.5% and 85.2%, respectively. In validation set, the AUC values for NLR, PLR, RDW and the three markers combined were 0.708, 0.675, 0.723, and 0.780, respectively. Correlation analysis showed that in the PSM group, NLR was positively correlated with PLR and RDW, and PLR was positively correlated with RDW. By contrast, in the NSM group, a positive association was only found between NLR and PLR. Higher preoperative NLR, PLR, and RDW values were associated with postoperative PSM. Additionally, the three markers combined may be useful to predict PSM.

Neutrophil-to-lymphocyte ratio associated with symptomatic saccular unruptured intracranial aneurysm

Background and purposeWhether symptomatic unruptured intracranial aneurysms (UIAs) lead to change in circulating inflammation remains unclear. This study aims to evaluate the role of hematological inflammatory indicators in predicting symptomatic UIA.MethodsAdult patients diagnosed with saccular intracranial aneurysm from March 2019 to September 2023 were recruited retrospectively. Clinical and laboratory data, including the white blood cells (WBC), neutral counts (NEUT), lymphocyte counts (LYM), and monocyte counts (MONO) of each patient, were collected. The neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) were calculated as NLR = NEUT/LYM, LMR = LYM/MONO, SII = PLT*NEUT/LYM. The hematological inflammatory indicators were compared in symptomatic saccular and asymptomatic UIA patients. Multivariable logistic regression analyses were performed to explore the factors predicting symptomatic UIA.ResultsOne hundred and fifty UIA patients with a mean age of 58.5 ± 12.4 were included, of which 68% were females. The NLR and LMR were significantly associated with symptomatic UIA, and the association remained in small UIAs (< 7 mm). The multiple logistic regression analysis showed that NLR was independently associated with symptomatic UIA. On ROC curve analysis, the optimal cutoff value of NLR to differentiate symptomatic from asymptomatic was 2.38. In addition, LMR was significantly associated with symptomatic UIA smaller than 7 mm.ConclusionThere was a significant correlation between NLR and symptomatic UIA. The NLR was independently associated with symptomatic UIA.

Predictive Value of NLR and PLR in Driver-Gene-Negative Advanced Non-Small Cell Lung Cancer Treated with PD-1/PD-L1 Inhibitors: A Single Institutional Cohort Study.

To investigate the predictive value of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) for the efficacy and prognosis of programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) inhibitors in driver-gene-negative advanced non-small-cell lung cancer (NSCLC). A retrospective analysis of 107 advanced NSCLC patients without gene mutations who received PD-1/PD-L1 inhibitors in our hospital from January 2020 to June 2022 was performed. NLR and PLR were collected before PD-1/PD-L1 inhibitors, the optimal cut-off values of NLR and PLR were determined according to the receiver operating characteristic (ROC) curve, and the effects of NLR and PLR on the efficacy of PD-1/PD-L1 inhibitors in advanced NSCLC patients were analyzed. A total of 107 patients were included in this study. Receiver operating characteristic analysis showed that the optimal cut-off values of NLR and PLR were 3.825, 179, respectively. Kaplan-Meier curve showed that low baseline levels NLR and PLR were associated with an improvement in both progression-free survival (PFS) (P < .001, < .001, respectively) and overall survival (OS) (P = .009, .006, respectively). In first-line treatment and non-first-line treatment, low baseline levels NLR and PLR were associated with an improvement in PFS. In multivariate analysis, low baseline NLR and PLR showed a strong association with both better PFS (P = .011, .027, respectively) and longer OS (P = .042, .039, respectively). Low baseline NLR and PLR levels are significantly associated with better response in advanced NSCLC patients treated with PD-1/PD-L1 inhibitors, which may be indicators to predict the efficacy of immunotherapy in advanced NSCLC with driver-gene-negative.

Quantitative CT parameters combined with preoperative systemic inflammatory markers for differentiating risk subgroups of thymic epithelial tumors

BackgroundThymic epithelial tumors (TETs) are the most common primary neoplasms of the anterior mediastinum. Different risk subgroups of TETs have different prognosis and therapeutic strategies, therefore, preoperative identification of different risk subgroups is of high clinical significance. This study aims to explore the diagnostic efficiency of quantitative computed tomography (CT) parameters combined with preoperative systemic inflammatory markers in differentiating low-risk thymic epithelial tumors (LTETs) from high-risk thymic epithelial tumors (HTETs).Methods74 Asian patients with TETs confirmed by biopsy or postoperative pathology between January 2013 and October 2022 were collected retrospectively and divided into two risk subgroups: LTET group (type A, AB and B1 thymomas) and HTET group (type B2, B3 thymomas and thymic carcinoma). Statistical analysis were performed between the two groups in terms of quantitative CT parameters and preoperative systemic inflammatory markers. Multivariate logistic regression analysis was used to determine the independent predictors of risk subgroups of TETs. The area under curve (AUC) and optimal cut-off values were calculated by receiver operating characteristic (ROC) curves.Results47 TETs were in LTET group, while 27 TETs were in HTET group. In addition to tumor size and CT value of the tumor on plain scan, there were statistical significance comparing in CT value of the tumor on arterial phase (CTv-AP) and venous phase (CTv-VP), and maximum enhanced CT value (CEmax) of the tumor between the two groups (for all, P < 0.05). For systemic inflammatory markers, HTET group was significantly higher than LTET group (for all, P < 0.05), including platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII). Multivariate logistic regression analysis showed that NLR (odds ratio [OR] = 2.511, 95% confidence interval [CI]: 1.322–4.772, P = 0.005), CTv-AP (OR = 0.939, 95%CI: 0.888–0.994, P = 0.031) and CTv-VP (OR = 0.923, 95%CI: 0.871–0.979, P = 0.008) were the independent predictors of risk subgroups of TETs. The AUC value of 0.887 for the combined model was significantly higher than NLR (0.698), CTv-AP (0.800) or CTv-VP (0.811) alone. The optimal cut-off values for NLR, CTv-AP and CTv-VP were 2.523, 63.44 Hounsfeld Unit (HU) and 88.29HU, respectively.ConclusionsQuantitative CT parameters and preoperative systemic inflammatory markers can differentiate LTETs from HTETs, and the combined model has the potential to improve diagnostic efficiency and to help the patient management.

The neutrophil-lymphocyte ratio predicts all-cause and cardiovascular mortality among U.S. adults with rheumatoid arthritis: results from NHANES 1999-2020.

The neutrophil-to-lymphocyte ratio (NLR) is recognized as a biomarker for systemic inflammation and immune activation. However, its connection with the mortality risk in individuals with rheumatoid arthritis (RA) is not well understood. This study aimed to investigate the association between NLR and all-cause and cardiovascular mortality risk in U.S. adults with RA. Data were gathered from the National Health and Nutrition Examination Survey (NHANES) cycles spanning 1999 to March 2020. We included adults aged ≥20 years. The NLR was computed by dividing the neutrophil count by the lymphocyte count from complete blood counts. The maximally selected rank statistics method helped identify the optimal NLR cutoff value associated with significant survival outcomes. Multivariable logistic regression models were performed to investigate the relationship between the NLR and the all-cause and cardiovascular mortality of RA. Restricted cubic spline (RCS) analyses were utilized to detect whether there were linear or non-linear relationships between NLR and mortality. In this study, 2002 adults with RA were included, with 339 having a higher NLR (≥3.28) and 1663 having a lower NLR (<3.28). During a median follow-up of 84 months, 79 RA individuals died. Participants with higher NLR had a 2-fold increased risk of all-cause (HR = 2.02, 95% CI: 1.53-2.66) and cardiovascular mortality (HR = 2.48, 95% CI: 1.34-4.57) versus lower NLR, after adjusting for demographics, socioeconomic status, and lifestyle factors. Kaplan-Meier analysis revealed that the survival rate for the higher NLR group was significantly lower than the lower NLR group, in terms of both all-cause and cardiovascular mortality (both P<0.0001). The RCS curve demonstrated a positive linear association between the NLR and all-cause and cardiovascular mortality. A higher NLR was independently predictive of elevated long-term mortality risk in U.S. adults with RA. The NLR may serve as an inexpensive, widely available prognostic marker in RA.

Peripheral blood cell count ratios as a predictor of poor functional outcome in patients with acute ischemic stroke

ABSTRACT Background and aims Acute ischemic stroke (AIS) is a leading cause of death and long-term disability worldwide. Thromboinflammation plays an important role in the pathophysiology of stroke. The peripheral blood cell count ratios (PBCCR): neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), and lymphocyte‐to‐monocyte ratio (LMR), are global inflammatory indicators with prognostic value for the clinical outcome after stroke. We aimed to determine the relationship between NLR, PLR, or LMR and the functional outcome three months post-stroke. Methods A prospective, hospital-based study, including 141 participants with AIS, was conducted at a referral stroke center in North-Eastern Bulgaria. The PBCCRs were obtained during the first 24 hours after stroke onset. Stroke severity was measured using the NIHSS scale, and functional outcome was assessed with the modified Rankin Scale (mRS) at discharge and 3 months post-stroke. Results We found significantly lower total lymphocyte counts, and higher NLR, PLR, and C-reactive protein in the poor-outcome group (mRS>3) three months post-stroke. A positive correlation was found between the NIHSS score and mRS score on discharge, NLR, and PLR with the worse outcome on the third month. The receiver operating characteristic (ROC) curves showed the predictability of NLR (AUC, 0.626, 95%CI: 0.524–0.724, p = 0.018), and for PLR– (AUC, 0.613, 95%CI: 0.510–0.716, p = 0.031). The optimal cutoff value for NLR was 2.68 (sensitivity 77.8% and specificity 60.4%), and for PLR - 122.6 (sensitivity 77.8% and specificity 61.5%). Conclusion Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio are simple, widely available, and cost-effective biomarkers with high prognostic value for the clinical outcome three months post-stroke.

First-trimester neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and systemic immune-response index (SIRI) as predictors of composite adverse outcomes in pregnant women with Familial Mediterranean fever.

To evaluate the utility of the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and systemic immune-response index (SIRI) in the prediction of adverse pregnancy outcomes in pregnant women with Familial Mediterranean fever (FMF) MATERIAL AND METHODS: This retrospective case-control study was conducted between 2019-2023. First-trimester NLR, SII (NLR X platelet count), and SIRI (NLR X monocyte count) values were compared between pregnant women with FMF (n=85) and without FMF (n=105). Thereafter, pregnant women with FMF were divided into two groups: 1) FMF with perinatal complications (n=30), and 2) FMF without perinatal complications (n=55). NLR, SII, and SIRI values were compared between the two subgroups. Finally, an ROC analysis was performed to determine optimal cut-off values for NLR, SII, and SIRI in the prediction of composite adverse pregnancy outcomes. The FMF group had significantly higher first-trimester NLR, SII, and SIRI values compared to the controls. The FMF with perinatal complications group had significantly higher NLR, SII, and SIRI values than the FMF group without perinatal complications (p<0.05). Optimal cut-off values were 4.89 (80% sensitivity, 78.2% specificity), 1180.6 (76.7% sensitivity, 72.7% specificity), and 1.9 (83.3% sensitivity,72.7% specificity) for NLR, SII, and SIRI, respectively. SII, SIRI, and NLR may be used to predict adverse pregnancy outcomes in pregnant women with FMF.

A single center retrospective study assessing the prognostic significance of pre-treatment neutrophil/lymphocyte ratio in locally advanced nasopharyngeal carcinoma.

In light of the growing evidence suggesting the impact of inflammatory parameters on the survival of individuals with cancer, this research assessed the prognostic significance of the neutrophil-to-lymphocyte ratio (NLR) in individuals diagnosed with locally advanced nasopharyngeal carcinoma (NPC) prior to undergoing intensity-modulated radiation therapy (IMRT). A total of 163 individuals diagnosed with locally advanced NPC treated with IMRT at our hospital between January 2012 and December 2017 were included in this research. For each patient, the absolute counts of neutrophils and lymphocytes were recorded, and the NLR was calculated at the first diagnosis. To determine the optimal cut-off values for NLR, receiver operating characteristic (ROC) curve analysis was conducted. The effects of the determined cut-off value on local failure-free survival (LFFS), overall survival (OS), progression-free survival (PFS), and distant failure-free survival (DFFS) were evaluated employing the Cox regression model. The median follow-up duration for the individuals in this study was 15 months (ranging from 6 to 79 months). According to the determined NLR cut-off value of 3.27, individuals were classified into two groups (high NLR and low NLR). Individuals in the high-NLR group had remarkably poorer 3-year OS (62.8% vs. 91.7%), PFS (51.4% vs. 82.4%), and DFFS (70.7% vs. 89.6%) compared to the low-NLR group. Furthermore, the outcomes of univariate and multivariate survival analyses revealed that NLR served as an independent predictor of DFFS (HR: 2.81, 95% CI: 1.195-6.608, P=0.018), OS (HR: 3.1, 95% CI: 1.211-7.935, P=0.018), and PFS (HR: 2.21, 95% CI: 1.133-4.292, P=0.02). Elevated NLR exhibited a significant correlation with reduced OS, DFFS, and PFS. These findings suggest that NLR holds promise as a cost-effective and reliable marker for the prediction of clinical outcomes among patients with locoregionally advanced nasopharyngeal carcinoma (LANPC). Furthermore, incorporating NLR into clinical decision-making regarding LANPC treatment strategies may contribute to a more targeted approach aimed at reducing the risk of distant failure.

The role of first-trimester NLR (neutrophil to lymphocyte ratio), systemic immune-inflammation index (SII), and, systemic immune-response index (SIRI) in the prediction of composite adverse outcomes in pregnant women with systemic lupus erythematosus

To evaluate the utility of neutrophil to lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and systemic immune-response index (SIRI) in the prediction of adverse pregnancy outcomes in pregnant women with systemic lupus erythematosus (SLE). This retrospective case-control study was conducted in Ankara City Hospital perinatology clinic between 2019 and 2023. First-trimester NLR, SII (NLR X platelet count), and SIRI (NLR X monocyte count) values were compared between pregnant women with SLE (n = 29) and low-risk controls (n = 110). Afterward, pregnant women with SLE were divided into two groups: 1) SLE with perinatal complications (n = 15) and 2) SLE without perinatal complications (n = 14). NLR, SII, and SIRI values were compared between the two subgroups. Finally, a ROC analysis was performed to determine optimal cut-off values for NLR, SII, and SIRI in the prediction of composite adverse pregnancy outcomes. The study group had significantly higher first-trimester NLR, SII, and SIRI values compared to the controls. The SLE with perinatal complications group had significantly higher NLR, SII, and SIRI values than the SLE group without perinatal complications (p < 0.05). Optimal cut-off values were 6.5 (66.7% sensitivity,71.4% specificity), 1612.6 (73.3% sensitivity, 71.4% specificity), and, 4.7 (73.3% sensitivity, 77.6% specificity) for NLR, SII, and SIRI, respectively. SII, SIRI, and NLR may be used to predict adverse pregnancy outcomes in pregnant women with SLE.

A clinical utility of neutrophil lymphocyte ratio as an independent predictor of systemic lupus erythematosus disease activity

Background: Systemic lupus erythematosus (SLE) is an autoimmune inflammatory disease and is associated with considerable morbidity. The neutrophil-to-lymphocyte ratio (NLR) has been chosen as a potential marker of inflammation in SLE. Objective: To evaluate the role of NLR as an independent predictor of SLE activity. Methods: This was a cross-sectional comparative study conducted in the Department of Physiology, Dhaka Medical College, Dhaka, Bangladesh from July 2016 to June 2017. In this study, 30 SLE patients, aged 18 to 55 years, were considered as the study group and 30 aged matched healthy subjects were considered as control group. SLE Disease Activity Index (SLEDAI) score was used to assess disease activity.NLR and ESR was estimated. Independent samples t-test, Chi Square test, Pearson’s correlation co-efficient (r) test, Regression analysis and ROC curve analysis were performed as applicable. 95% confident interval was calculated and p value &lt;0.05 was accepted as level of significance. Results: In this study, NLR was significantly (p=0.003) higher in SLE patients than control. SLEDAI score was 10 (1-18) and majority (19; 63.33%) of the SLE patients had SLEDAI score &gt;9 (active disease). NLR was significantly (p=0.001) increased more in active SLE than inactive SLE and showed a significant association among NLR and active disease (OR; 6.56, 95% CI; 1.26 to 34.20, p=0.001). NLR was positively correlated with SLEDAI score and ESR in patients with SLE. The optimal NLR cutoff value of 2.2 had 95% sensitivity and73% specificity {AUC = 0.957, 95% CI, 0.892–1.000, p = &lt;0.001}. Conclusion: This study concludes that NLR is significantly increased in SLE patients and can be served as an independent predictor of SLE activity. Bangladesh J Medicine 2023; 34(2): 137-142