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Purpose: The prognostic value of the lymphocyte-to-monocyte (LMR) ratio has been reported for various cancers, including colorectal cancer (CRC). The insertion of colonic stents is considered effective for patients with surgically indicated obstructive CRC, but their LMR can vary depending on factors such as inflammation associated with stent dilation and improvement of obstructive colitis. However, the usefulness of the LMR in patients with obstructive CRC and colonic stents and the optimal timing for its measurement remain unclear. We conducted this study to investigate the relationship between the pre-stent LMR and the mid-term prognosis of patients with obstructive CRC and stents as a bridge to surgery (BTS). Methods: The subjects of this retrospective multicenter study were 175 patients with pathological stage 2 or 3 CRC. Patients were divided into a low pre-stent LMR group (n = 87) and a high pre-stent LMR group (n = 83). Results: Only 3-year relapse-free survival differed significantly between the low and high pre-stent LMR groups (39.9% vs. 63.6%, respectively; p = 0.015). The pre-stent LMR represented a prognostic factor for relapse-free survival in multivariate analyses (hazard ratio 2.052, 95% confidence interval 1.242–3.389; p = 0.005), but not for overall survival. Conclusions: A low pre-stent LMR is a prognostic factor for postoperative recurrence in patients with obstructive CRC and a colonic stent as a BTS. [ABSTRACT FROM AUTHOR]

The objective of this study was to evaluate the utility of inflammation-based prognostic scores (IBPS) in predicting ORN among patients undergoing superselective intra-arterial chemoradiotherapy (SSIACRT). This retrospective cohort study examined the medical records of 54 patients with advanced oral cancer (stage 3 or 4) treated with SSIACRT. The predictor variable was IBPS. The main outcome variable was onset of ORN. Covariates comprised sex, median age, tooth status, tumor size, and pretreatment tooth extraction with professional oral care (pretreatment tooth extraction). For each factor, cumulative incidence and univariate and multivariate analyses of ORN incidence were performed. The cumulative incidence of ORN in patients with pre-treatment lymphocyte-to-monocyte ratio (LMR < 4.95vs LMR ≥4.95, P = 0.01) and pretreatment tooth extraction (no vs. yes, P = 0.03) was significantly different. Univariate and multivariate analyses identified pre-treatment LMR cutoff values < 4.95 and pre-treatment tooth extraction as significantly associated with the development of ORN. Pretreatment tooth extraction reduced the incidence of ORN in low LMR group (P = 0.04). LMR is a useful biomarker to predict ORN in SSIACRT. Pretreatment tooth extraction was a useful treatment to prevent ORN. Pretreatment extraction with LMR may be important for the prevention of ORN in SSIACRT. [ABSTRACT FROM AUTHOR]

Objective To investigate the predictive value of preoperative blood inflammatory markers for the recurrence risk in patients with basal cell carcinoma (BCC). Methods A total of 225 patients with BCC were divided into the high-risk recurrence group (155 cases) and the low-risk recurrence group (70 cases). General information and preoperative hematological indicators were collected in the two groups of patients. The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammation marker (SIM) and platelet-to-lymphocyte ratio (PLR) were calculated. Receiver operating characteristic (ROC) curves were used to determine the predictive value of hematological markers with statistically significant differences between the two groups for BCC recurrence and to establish optimal cutoff values. Univariate and multivariate Logistic regression analyses were conducted to identify factors influencing BCC recurrence. A multivariate Logistic regression model was established to predict the recurrence risk of BCC. Area under the curve (AUC) and the Hosmer-Lemeshow test were used to evaluate the prediction efficiency and goodness-of-fit of the model. Results ROC analysis identified that optimal cutoff values for LMR and SIM were 5.12 and 0.86, respectively. Univariate Logistic regression analysis showed that LMR, SIM, ulceration at the primary tumor site, UV exposure and tumor maximum diameter were factors influencing BCC recurrence. Multivariate Logistic regression revealed that SIM ≥ 0.86, tumor maximum diameter ≥ 2.0 cm and UV exposure were risk factors for BCC recurrence, while LMR ≥ 5.12 had a protective effect. The Logistic prediction model for BCC recurrence risk was Logit (P) = -1.598 - 1.517 × LMR + 1.323 × SIM + 2.406 × UV exposure + 3.465 × tumor maximum diameter, with good model fit (P = 0.725) and an AUC of 0.869 (95% CI: 0.822-0.917) for predicting BCC recurrence risk. Conclusion Monitoring preoperative LMR and SIM levels can assist in assessing the risk of recurrence in BCC patients and provide important guidance for clinical decision-making. [ABSTRACT FROM AUTHOR]

Aim: We aimed to detect subclinical cardiac impairment in children with ulcerative colitis (UC) and test the association between absolute monocytic count (AMC) and lymphocyte‐to‐monocyte ratio (LMR) with disease activity. Methods: A group of children with UC and a comparable group as healthy controls were included. All children underwent history‐taking, clinical examination and blood testing for complete blood counts with white blood cell differentials, LMR and erythrocyte sedimentation rate (ESR). Disease severity was assessed using the Paediatric UC Activity Index score. We used echocardiography for tissue Doppler, M‐Mode, two‐dimensional and three‐dimensional (3D) speckle tracking echocardiography (STE) for left ventricular function assessment. Results: Forty children were included, 20 with UC as cases, and 20 healthy controls. Disease activity was mild in 75% cases and moderate in 25% cases. Cases had significantly higher ESR than the control group (P < 0.001). Among cases, positive correlations were observed between monocytic, and platelet counts with left ventricular end‐diastolic diameter (r = 0.5, P = 0.02; r = 0.5, P = 0.03). Children with UC had significantly lower ejection fraction and impaired left ventricular systolic function compared to the control group (P < 0.001) assessed by 3D STE, yet this observation was not reached by the conventional method (P = 0.3). Conclusions: In children with UC, 3D STE could detect subclinical left ventricular systolic dysfunction that conventional echocardiography could not. AMC and LMR showed no significant difference between children with UC and controls. [ABSTRACT FROM AUTHOR]

Purpose: Postoperative cognitive dysfunction (POCD) is a common postoperative complication. Studies have reported that lymphocyte-to-monocyte ratio (LMR) was a predictor of many diseases associated with inflammation. However, further examination of the relationship between preoperative LMR and POCD is needed. We aimed to investigate the association between POCD and preoperative LMR levels to examine the potential of LMR to predict POCD. Patients and Methods: This was a prospective cohort study that included patients who underwent elective major abdominal surgery at our hospital between January 2019 and January 2022. Multivariate logistic regression analysis was used to analyze the effects of preoperative LMR on POCD development. The optimal threshold of preoperative LMR for predicting POCD was determined by receiver operating characteristic (ROC) approach. A subgroup analysis was performed according to age, sex, type of surgery and hypertension. Results: Of 964 patients, 362 (37.6%) developed POCD. The preoperative LMR level in the Non-POCD group was higher than that in the POCD group. According to the ROC curve, a cutoff value of 3.758 of the preoperative LMR level could be used to predict POCD occurrence and the area under the curve (AUC) was 0.747 (95% CI: 0.715– 0.779, P < 0.001). The results of the subgroup analyses were consistent with the primary ones, and no heterogeneity was observed in the subgroup analyses (P for interaction > 0.05). Conclusion: LMR was significantly associated with the occurrence of POCD after major abdominal surgery. Preoperative low LMR levels can be used to identify patients who may be at high risk of POCD. [ABSTRACT FROM AUTHOR]

Abstract The objective of this study was to evaluate the utility of inflammation-based prognostic scores (IBPS) in predicting ORN among patients undergoing superselective intra-arterial chemoradiotherapy (SSIACRT). This retrospective cohort study examined the medical records of 54 patients with advanced oral cancer (stage 3 or 4) treated with SSIACRT. The predictor variable was IBPS. The main outcome variable was onset of ORN. Covariates comprised sex, median age, tooth status, tumor size, and pretreatment tooth extraction with professional oral care (pretreatment tooth extraction). For each factor, cumulative incidence and univariate and multivariate analyses of ORN incidence were performed. The cumulative incidence of ORN in patients with pre-treatment lymphocyte-to-monocyte ratio (LMR

Liying Sun, Xuhui Ye, Junping Yu, Linlin Wang, Yan Wu, Jing Cui, Lihua Dai Intensive Care Unit, Shidong Hospital, Shanghai, People’s Republic of ChinaCorrespondence: Lihua Dai, Intensive Care Unit, Shidong Hospital, Yangpu District, Shanghai, 200438, People’s Republic of China, Tel +86 18917059757, Email gg790516@163.comPurpose: Previous studies have reported that lymphocyte-to-monocyte ratio (LMR) is associated with the prognosis of patients with acute ischemic stroke (AIS); however, the relationship between LMR and early neurological deterioration (END) in AIS patients has not been elucidated.Patients and Methods: Patients were divided into two groups according to LMR by using receiver operating characteristic (ROC) curve analysis. Patients with END were confirmed as the National Institutes of Health Stroke Scale (NIHSS) increased ≥ 4 points between hospital days 0 and 5. Multivariate logistic regression analysis was used to analyze the factors independently related to END in patients with AIS.Results: In total, 202 patients diagnosed with AIS were enrolled in this retrospective study. Using ROC curve analysis, patients were divided into two groups according to LMR: low LMR group (LMR < 3.24, n = 95) and high LMR group (LMR ≥ 3.24, n = 107). The frequencies of END were significantly higher in the low LMR group compared to the high LMR group (41.05 vs.15.89%, p < 0.001). Multivariate logistic regression showed that age (OR = 1.03, 95% CI 1.01– 1.06, p = 0.04), infarct volume (OR = 1.01, 95% CI 1.00– 1.02, p = 0.001), neutrophil count (OR = 1.17, 95% CI 1.03– 1.33, p = 0.018), and LMR (OR = 2.49, 95% CI 1.01– 9.11, p = 0.018) were independently associated with END in AIS patients.Conclusion: A peripheral LMR levels at admission were significantly associated with END and LMR < 3.24 is an independent predictive factor of END in patients with AIS.Keywords: lymphocyte-to-monocyte ratio, acute ischemic stroke, early neurological deterioration, national institutes of health stroke scale

Linbo Tang,1 Xinjing Li,2 Yongbin Wang,1 Yuanhe Tong1 1Department of Radiation Oncology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, 364000, People’s Republic of China; 2Department of Pathology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, 364000, People’s Republic of ChinaCorrespondence: Yuanhe Tong, Department of Radiation Oncology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People’s Republic of China, Email tyhlongyan@126.comPurpose: Inflammatory markers in the blood have been linked to tumor prognosis, but their specific prognostic significance in nasopharyngeal carcinoma (NPC) patients undergoing intensity-modulated radiotherapy (IMRT) is not well established. This study aims to evaluate the prognostic value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in this patient population.Patients and Methods: A total of 406 non-metastatic NPC patients were included in the study. NLR, PLR, and LMR were stratified according to their average values. The Kaplan-Meier method was used to estimate progression-free survival (PFS) and overall survival (OS). Cox multivariate regression analysis was performed to evaluate the associations of NLR, PLR, and LMR with PFS and OS.Results: Patients with NLR > 2.78 had worse PFS (P = 0.008) and OS (P < 0.001); PLR > 162.48 was related to lower PFS (P = 0.018) but not OS (P = 0.29); LMR > 5.05 showed no significant difference in PFS and OS compared to LMR ≤ 5.05 (P values were 0.13 and 0.94, respectively). Multivariate analysis indicated that NLR was an independent prognostic factor for PFS (HR, 1.674; 95% CI, 1.006– 2.784; P = 0.047) and OS (HR, 4.143; 95% CI, 2.111– 8.129; P = 0.000), while PLR and LMR did not demonstrate significant associations with PFS and OS.Conclusion: This study identifies NLR as a novel and independent prognostic indicator for NPC patients receiving IMRT, offering valuable insights that could inform future clinical decision-making. In contrast, PLR and LMR did not demonstrate significant prognostic value in this context.Keywords: nasopharyngeal carcinoma, inflammatory markers, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, lymphocyte to monocyte ratio, prognosis

Ling Hou,1,&ast; Ke Su,2,&ast; Ting He,1 Jinbo Zhao,2 Yuanhong Li2 1Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, Hubei Province, People’s Republic of China; 2Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Enshi, Hubei Province, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yuanhong Li, Email lyh0101@vip.163.comObjective: This study aims to investigate their correlation and predictive utility for in-stent restenosis (ISR) in patients with acute coronary syndrome (ACS) following percutaneous coronary intervention (PCI).Methods: We collected medical records of 668 patients who underwent PCI treatment from January 2022 to December 2022. Based on follow-up results (ISR defined as luminal narrowing ≥ 50% on angiography), all participants were divided into ISR and non-ISR groups. The XGBoost machine learning (ML) model was employed to identify the optimal predictive variables from a set of 31 variables. Discriminatory ability was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), while calibration and performance of the prediction models were assessed using the Hosmer-Lemeshow (HL) test and calibration plots. Clinical utility of each model was evaluated using decision curve analysis (DCA).Results: In the XGBoost importance ranking of predictive factors, LMR and RC ranked first and fourth, respectively. The AUC of the entire XGBoost ML model was 0.8098, whereas the model using traditional stepwise backward regression, comprising five predictive factors, had an AUC of 0.706. The XGBoost model showed superior predictive performance with a higher AUC, indicating better discrimination and predictive accuracy for ISR compared to traditional methods.Conclusion: LMR and RC are identified as cost-effective and reliable biomarkers for predicting ISR risk in ACS patients following drug-eluting stent (DES) implantation. LMR and RC represent cost-effective and reliable biomarkers for predicting ISR risk in ACS patients following drug-eluting stent implantation. Enhances the accuracy and clinical utility of ISR prediction models, offering clinicians a robust tool for risk stratification and personalized patient management.Keywords: Lymphocyte-to-monocyte ratio, residual cholesterol, XGBoost, machine learning, in-stent restenosis, drug-eluting stent

Purpose: In this study, we aimed to compare blood inflammation markers, namely the neutrophil-to-lymphocyte ratio (NLR), plateletto- lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) between patients with IMT and healthy individuals. Material and Methods: Forty-two patients with IMT and 50 healthy controls of similar age and gender without comorbidities were included in the study. Inflammation markers in the blood values of patients and controls were examined. Results: The mean age of the patients with IMT was 60.27 ± 8.47 years, and that of the control group was 60.70 ± 10.38 years. The mean NLR, PLR, LMR, and red cell distribution width (RDW) values were 2.68 ± 0.98, 137 ± 30.30, 4.17 ± 0.98, and 13.85 ± 1.01% respectively, in the IMT group and 1.57 ± 0.32, 100.72 ± 16.78, 4.52 ± 1.29, and 12.93 ± 0.95% respectively, in the control group. In the IMT group, the NLR, PLR and RDW values were statistically significantly higher, and the LMR value statistically significantly lower compared to the control group (p < 0.001, p < 0.001, p = 0.01, p < 0.001, respectively). Conclusion: This study is the first to compare inflammation markers in the blood values of patients with IMT and healthy controls. In this study, the patients with IMT presented with statistically significantly higher NLR, PLR, and RDW values and a statistically significantly lower LMR compared to the control group. We consider that the damage caused by inflammation and oxidative stress to Müller cells is effective in the pathogenesis of IMT. [ABSTRACT FROM AUTHOR]

Background: This study aimed to investigate the value of the peripheral blood neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) in the prognosis of patients with multiple myeloma (MM). Methods: Before treatment, the NLR and LMR and all clinical indicators of 168 patients, diagnosed with MM at the Affiliated Hospital of Southwest Medical University from April 2013 to April 2022, were retrospectively analyzed, and the patients were grouped according to their median NLR counts and median LMR counts. Differences between the groups were compared by using the chi-squared (χ²) test, the Kaplan-Meier survival curve and Logrank test were used for survival analysis and difference comparison, and the COX proportional risk model was constructed to analyze the factors affecting the prognosis of the MM patients. The test level was α = 0.05. Results: The groups were divided into high NLR group (> 2.19) and low NLR group (≤ 2.19) and high LMR group (> 3.45) and low LMR group (≤ 3.45), according to the median NLR and LMR values. The clinical stage, blood β2 microglobulin, and serum creatinine levels in the high NLR group were higher than in the low NLR group, and the differences between the groups were statistically significant (p < 0.05). The clinical stage and blood β2 microglobulin in the low LMR group were higher than in the high LMR group, and the differences between the groups were statistically significant (p < 0.05). The Cox univariate and multivariate analyses showed that peripheral blood NLR < 2.19 and LMR ≤ 3.45 were independent risk factors for the prognosis in patients with MM (p < 0.05). Conclusions: High NLR and low LMR counts of peripheral blood suggest a poor prognosis; NLR and LMR may be prognostic indicators in MM patients. [ABSTRACT FROM AUTHOR]

Background: Stroke-associated pneumonia (SAP) is a common complication of acute ischemic stroke (AIS) and is associated with increased mortality and prolonged hospital stays. The lymphocyte-to-monocyte ratio (LMR) is a novel inflammatory marker that has been shown to be associated with various diseases. However, the relationship between the LMR and SAP in patients with AIS remains unclear. Methods: A retrospective cohort study was conducted on 1,063 patients with AIS admitted to our hospital within 72 hours of symptom onset. Patients were divided into two groups: the SAP group (n = 99) and the non-SAP group (n = 964). The LMR was measured within 24 hours of admission, and the primary outcome was the incidence of SAP. We used univariate and multivariate logistic regression analyses to assess the relationship between the LMR and SAP. Additionally, curve-fitting techniques and subgroup analyses were conducted. Result: The incidence of SAP was 9.31%. We found that the LMR was significantly lower in the SAP group than in the non-SAP group (2.46 ± 1.44 vs. 3.86 ± 1.48, P < 0.001). A nonlinear relationship was observed between the LMR and the incidence of SAP. Subgroup analysis revealed that an elevated LMR was associated with a reduced incidence of SAP in individuals with an LMR below 4. Multivariate logistic regression analysis demonstrated that LMR was an independent predictor of SAP (OR = 0.37, 95% CI [0.27–0.53]). Conclusion: Our study suggests that the LMR is an independent predictor of SAP in patients with AIS, particularly when the LMR is less than 4. The LMR may serve as a promising biomarker for the early identification of patients with AIS at a high risk of SAP. [ABSTRACT FROM AUTHOR]

Abstract Purpose This study aimed to investigate clinical diagnostic values of mSEPT9 combined with NLR, PLR and LMR in CRC. Methods 329 subjects composed of 120 CRC patients, 105 polyps patients and 104 healthy participants were prospectively recruited. Clinicopathologic features were collected and analyzed. Plasma samples were collected for mSEPT9, NLR, PLR and LMR test. The sensitivity, specificity and AUC of each biomarker separately or in combination were estimated by the ROC curve. Results The levels of NLR, PLR and the PDR of mSEPT9 in CRC patients were significantly higher than those in non-CRC subjects, while LMR was the opposite. The PDR of mSEPT9 in CRC patients was significantly correlated with age, tumor size, tumor stage and M stage. ROC curve analysis demonstrated moderate diagnostic values of mSEPT9, NLR, PLR and LMR in CRC patients with AUC of 0.78 (Se = 0.68, and Sp = 0.89), 0.78 (Se = 0.68, and Sp = 0.83), 0.80 (Se = 0.68, and Sp = 0.81), and 0.77 (Se = 0.72, and Sp = 0.73), respectively. Moreover, combination of these four biomarkers dramatically enhanced the diagnostic accuracy of CRC (AUC = 0.92, Se = 0.90, and Sp = 0.87), especially for CRC patients with large tumors (AUC = 0.95) or distal metastasis (AUC = 0.95). Conclusion mSEPT9, NLR, PLR and LMR showed the potential to be reliable biomarkers for the diagnosis of CRC. And the combined application of these biomarkers further improved the diagnostic accuracy of CRC significantly.

Abstract Lymphocyte subsets are the most intuitive expression of the body’s immune ability, and the lymphocyte-to-monocyte ratio (LMR) also clearly reflect the degree of chronic inflammation activity. The purpose of this study is to investigate their predictive value of lymphocyte subsets and LMR to neoadjuvant therapy (NAT) efficacy in breast cancer patients. In this study, lymphocyte subsets and LMR were compared between breast cancer patients (n = 70) and benign breast tumor female populations (n = 48). Breast cancer patients were treated with NAT, and the chemotherapy response of the breast was evaluated using established criteria. The differences in lymphocyte subsets and LMR were also compared between pathological complete response (pCR) and non-pCR patients before and after NAT. Finally, data were analyzed using SPSS. The analytical results demonstrated that breast cancer patients showed significantly lower levels of CD3 + T cells, CD4 + T cells, CD4 + /CD8 + ratio, NK cells, and LMR compared to benign breast tumor women (P

Summary: Objectives: The systemic inflammatory response is strongly involved in the progression of malignant tumors, and it is useful for predicting survival time and determining therapeutic effects. The inflammatory biomarkers, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) are used to assess post-treatment survival and recurrence in various malignant tumors.(Walsh et al., 2005; Burt et al., 2011; Smith et al., 2009) 1,2,3 These indicators may be effective as predictive markers for head and neck malignancies. Methods: The participants were 125 glottic laryngeal and supraglottic cancer cases who received primary treatment in our department from 2010 to 2016. The NLR, LMR, and PLR for each patient were calculated in addition to the association with overall survival (OS) rate, disease-specific survival (DSS) rate, and laryngeal preservation rate for tumor location, T and N classification, TNM stage classification, treatment, and smoking. We investigated whether inflammatory biomarkers are useful for predicting prognosis. Results: The cutoff values for NLR, LMR, and PLR on the ROC curve were 1.88, 5.57, and 108, respectively. Multivariate analysis with LMR 5.57 as the cutoff value showed significant differences in OS, DSS, and laryngeal preservation. However, setting the cutoff values for NLR 1.88 and PLR 108 showed significant differences only in OS and laryngeal preservation. Conclusion: LMR may be a total survival predictor of laryngeal cancer, including OS, DSS, and laryngeal preservation.

Introduction: In the relentless global battle against the Coronavirus Disease-2019 (COVID-19) pandemic, accurate prediction of disease severity remains a critical challenge, with profound implications for patient outcomes and healthcare resource allocation. As the virus continues to evolve and pose new threats, the need for reliable prognostic indicators becomes increasingly urgent. Effective identification of patients at high-risk of developing severe illness not only facilitates timely intervention and personalised treatment strategies but also optimises healthcare resource utilisation. In this context, the exploration of novel biomarkers and predictive models holds immense promise for enhancing ones understanding of disease progression and improving clinical decision-making. Aim: To study the association between haematological parameters, including Neutrophil-to-Lymphocyte Ratio (NLR), Lymphocyte-to-Monocyte Ratio (LMR), and Platelet-to-Lymphocyte Ratio (PLR), with Computed Tomography Scan Severity Score (CTSS) in COVID-19 patients. Materials and Methods: A prospective cohort study was conducted from March 2021 to July 2022 at Government General Hospital (GGH) Nizamabad, Telangana, India. The study encompassed all three COVID-19 waves, included a sample size of 159 Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) positive patients, excluding pregnant women and children under 10 years. Upon admission, CTSS and ratios of NLR, LMR, and PLR were recorded in an MS Excel sheet before any medical intervention and then analysed using Statistical Package for Social Sciences (SPSS) software 22.0. Results: The study comprised 159 patients with a mean age of 50.86±13.89 years (ranging from 16 to 85), predominantly male 90 (56.61%). The highest infection rate 85 (53.45%) was in the 41-60 years age group. The NLR was significantly elevated from a mean value of 4.58 to 11.24 (r value=0.78, p-value=

Purpose: This study aimed to investigate clinical diagnostic values of mSEPT9 combined with NLR, PLR and LMR in CRC. Methods: 329 subjects composed of 120 CRC patients, 105 polyps patients and 104 healthy participants were prospectively recruited. Clinicopathologic features were collected and analyzed. Plasma samples were collected for mSEPT9, NLR, PLR and LMR test. The sensitivity, specificity and AUC of each biomarker separately or in combination were estimated by the ROC curve. Results: The levels of NLR, PLR and the PDR of mSEPT9 in CRC patients were significantly higher than those in non-CRC subjects, while LMR was the opposite. The PDR of mSEPT9 in CRC patients was significantly correlated with age, tumor size, tumor stage and M stage. ROC curve analysis demonstrated moderate diagnostic values of mSEPT9, NLR, PLR and LMR in CRC patients with AUC of 0.78 (Se = 0.68, and Sp = 0.89), 0.78 (Se = 0.68, and Sp = 0.83), 0.80 (Se = 0.68, and Sp = 0.81), and 0.77 (Se = 0.72, and Sp = 0.73), respectively. Moreover, combination of these four biomarkers dramatically enhanced the diagnostic accuracy of CRC (AUC = 0.92, Se = 0.90, and Sp = 0.87), especially for CRC patients with large tumors (AUC = 0.95) or distal metastasis (AUC = 0.95). Conclusion: mSEPT9, NLR, PLR and LMR showed the potential to be reliable biomarkers for the diagnosis of CRC. And the combined application of these biomarkers further improved the diagnostic accuracy of CRC significantly. [ABSTRACT FROM AUTHOR]

Lymphocyte subsets are the most intuitive expression of the body's immune ability, and the lymphocyte-to-monocyte ratio (LMR) also clearly reflect the degree of chronic inflammation activity. The purpose of this study is to investigate their predictive value of lymphocyte subsets and LMR to neoadjuvant therapy (NAT) efficacy in breast cancer patients. In this study, lymphocyte subsets and LMR were compared between breast cancer patients (n = 70) and benign breast tumor female populations (n = 48). Breast cancer patients were treated with NAT, and the chemotherapy response of the breast was evaluated using established criteria. The differences in lymphocyte subsets and LMR were also compared between pathological complete response (pCR) and non-pCR patients before and after NAT. Finally, data were analyzed using SPSS. The analytical results demonstrated that breast cancer patients showed significantly lower levels of CD3 + T cells, CD4 + T cells, CD4 + /CD8 + ratio, NK cells, and LMR compared to benign breast tumor women (P < 0.05). Among breast cancer patients, those who achieved pCR had higher levels of CD4 + T cells, NK cells, and LMR before NAT (P < 0.05). NAT increased CD4 + /CD8 + ratio and decreased CD8 + T cells in pCR patients (P < 0.05). Additionally, both pCR and non-pCR patients exhibited an increase in CD3 + T cells and CD4 + T cells after treatment, but the increase was significantly higher in pCR patients (P < 0.05). Conversely, both pCR and non-pCR patients experienced a decrease in LMR after treatment. However, this decrease was significantly lower in pCR patients (P < 0.05). These indicators demonstrated their predictive value for therapeutic efficacy. In conclusion, breast cancer patients experience tumor-related immunosuppression and high chronic inflammation response. But this phenomenon can be reversed to varying degrees by NAT. It has been found that lymphocyte subsets and LMR have good predictive value for pCR. Therefore, these markers can be utilized to identify individuals who are insensitive to NAT early on, enabling the adjustment of treatment plans and achieving precise breast cancer treatment. [ABSTRACT FROM AUTHOR]

This prospective study investigated the association between elevated neutrophil-to-monocyte ratio (NMR), lymphocyte-to-monocyte ratio (LMR), C-reactive protein (CRP), procalcitonin, and tumor necrosis factor-alpha (TNF-alpha) and the risk of developing neurological complications in mechanically ventilated neonates. The aim was to evaluate these biomarkers' predictive value for neurological complications. Within a one-year period from January to December 2022, this research encompassed neonates born at ≥35 weeks of gestational age who required mechanical ventilation in the neonatal intensive care unit (NICU) from the first day of life. Biomarkers were measured within the first 24 h and at 72 h. Sensitivity, specificity, and area under the curve (AUC) values were calculated for each biomarker to establish the best cutoff values for predicting neurological complications. The final analysis included a total of 85 newborns, of which 26 developed neurological complications and 59 without such complications. Among the studied biomarkers, TNF-alpha at >12.8 pg/mL in the first 24 h demonstrated the highest predictive value for neurological complications, with a sensitivity of 82%, specificity of 69%, and the highest AUC (0.574, p = 0.005). At 72 h, TNF-alpha levels greater than 14.3 pg/mL showed further increased predictive accuracy (sensitivity of 87%, specificity of 72%, AUC of 0.593, p < 0.001). The NMR also emerged as a significant predictor, with a cutoff value of >5.3 yielding a sensitivity of 78% and specificity of 67% (AUC of 0.562, p = 0.029) at 24 h, and a cutoff of >6.1 showing a sensitivity of 76% and specificity of 68% (AUC of 0.567, p = 0.025) at 72 h. Conversely, CRP and procalcitonin showed limited predictive value at both time points. This study identifies TNF-alpha and NMR as robust early predictors of neurological complications in mechanically ventilated neonates, underscoring their potential utility in guiding early intervention strategies. These findings highlight the importance of incorporating specific biomarker monitoring in the clinical management of at-risk neonates to mitigate the incidence of neurological complications. [ABSTRACT FROM AUTHOR]

Introduction: The purpose of the present study was to evaluate the potential relationship of lymphocyte-to-monocyte ratio (LMR) with outcomes of septic patients at intensive care unit (ICU) admission. Material and methods: 3087 septic patients were included in the final cohort by using the Medical Information Mart for Intensive Care (MIMIC) database. We evaluated the association of different groups of LMRmax with 28-day survival and 1-year survival via Kaplan-Meier (K-M) analysis and Cox regression analysis. Subgroups analysis of LMRmax was performed to further explore the effect of LMRmax on survival. Results: According to the optimal cut-off value, the cohort was divided into low-LMRmax and high-LMRmax groups. The 28-day and 1-year survival rates were 47.9% and 19.9%, respectively, in the low-LMRmax group, and 60.4% and 25.9%, respectively, in the high-LMRmax group. Univariate logistic regression and K-M analyses revealed that the 28-day and 1-year survival rates of the high-LMRmax group were higher than those of the low-LMRmax group (both p < 0.001). A subgroup analysis of LMRmax identified a significant stepwise decrease in the risk of death at 28 days and 1 year from group 1 to group 4 (LMRmax increased gradually) after adjustment for multiple variables. Conclusions: We report for the first time that a lower LMRmax value is independently predictive of a poor prognosis in septic patients. Therefore, as an inexpensive and readily available indicator, LMRmax may facilitate stratification of prognosis in septic patients. [ABSTRACT FROM AUTHOR]

We conducted a multi-institutional retrospective study in 100 transplant-ineligible (TI) patients with diffuse large B-cell lymphoma (DLBCL) that relapsed or progressed after first-line R-CHOP (or -like) therapy to develop a robust predictive model for TI relapsed/refractory (r/r) DLBCL, which has a heterogeneous but poor prognosis by currently available treatment modalities other than chimeric antigen receptor T-cell (CAR-T) therapy or bispecific antibodies. The median age at relapse or progression was 76 years. The median progression-free survival (PFS) and overall survival (OS) from the first progression were 11.5 months and 21.9 months, respectively. Multivariate analysis identified low lymphocyte-to-monocyte ratio (LMR), elevated high lactate dehydrogenase, and elevated C-reactive protein at progression as independent predictors of OS. A predictive model based on these three factors, here designated as the Kyoto Prognostic Index for r/r DLBCL (KPI-R), successfully stratified their OS and PFS with statistical significance. In addition, event-free survival less than 24 months for R-CHOP and low LMR were identified as significant predictive factors for non-response in any sequence of salvage therapy. We concluded that LMR is a bonafide predictor of treatment response and prognosis in patients with TI r/r DLBCL, and may be helpful in treatment decision-making. [ABSTRACT FROM AUTHOR]

Introduction: Intraductal papillary mucinous neoplasm (IPMN) is an important precursor lesion of pancreatic cancer. Systemic inflammatory parameters are widely used in the prognosis prediction of cancer; however, their prognostic implications in IPMN with associated invasive carcinoma (IPMN-INV) are unclear. This study aims to explore the prognostic value of systemic inflammatory parameters in patients with IPMN-INV. Methods: From 2015 to 2021, patients with pathologically confirmed IPMN who underwent surgical resection at Peking Union Medical College Hospital were enrolled. The clinical, radiological, and pathological data of the enrolled patients were collected and analyzed. Preoperative systemic inflammatory parameters were calculated as previously reported. Results: Eighty-six patients with IPMN-INV met the inclusion criteria. The lymphocyte-to-monocyte ratio (LMR) was the only systemic inflammatory parameter independently associated with the cancer-specific survival (CSS). An LMR higher than 3.5 was significantly associated with a favorable CSS in univariate (hazard ratio [HR] 0.305, p = 0.003) and multivariate analyses (HR 0.221, p = 0.001). Other independently prognostic factors included the presence of clinical symptoms, cyst size, N stage, and tumor differentiation. Additionally, a model including LMR was established for the prognosis prediction of IPMN-INV and had a C-index of 0.809. Conclusions: Preoperative LMR could serve as a feasible prognostic biomarker for IPMN-INV. A decreased LMR (cutoff value of 3.5) was an independent predictor of poor survival for IPMN-INV. [ABSTRACT FROM AUTHOR]

Introduction: In the relentless global battle against the Coronavirus Disease-2019 (COVID-19) pandemic, accurate prediction of disease severity remains a critical challenge, with profound implications for patient outcomes and healthcare resource allocation. As the virus continues to evolve and pose new threats, the need for reliable prognostic indicators becomes increasingly urgent. Effective identification of patients at highrisk of developing severe illness not only facilitates timely intervention and personalised treatment strategies but also optimises healthcare resource utilisation. In this context, the exploration of novel biomarkers and predictive models holds immense promise for enhancing ones understanding of disease progression and improving clinical decision-making. Aim: To study the association between haematological parameters, including Neutrophil-to-Lymphocyte Ratio (NLR), Lymphocyte-to-Monocyte Ratio (LMR), and Platelet-to-Lymphocyte Ratio (PLR), with Computed Tomography Scan Severity Score (CTSS) in COVID-19 patients. Materials and Methods: A prospective cohort study was conducted from March 2021 to July 2022 at Government General Hospital (GGH) Nizamabad, Telangana, India. The study encompassed all three COVID-19 waves, included a sample size of 159 Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) positive patients, excluding pregnant women and children under 10 years. Upon admission, CTSS and ratios of NLR, LMR, and PLR were recorded in an MS Excel sheet before any medical intervention and then analysed using Statistical Package for Social Sciences (SPSS) software 22.0. Results: The study comprised 159 patients with a mean age of 50.86±13.89 years (ranging from 16 to 85), predominantly male 90 (56.61%). The highest infection rate 85 (53.45%) was in the 41-60 years age group. The NLR was significantly elevated from a mean value of 4.58 to 11.24 (r value=0.78, p-value=<0.001), and LMR notably reduced from 8.27 to 3.80 (r value=0.67, p-value=0.003) in correlation with the severity as indicated by CTSS. Although PLR values were higher in severe cases, increasing from 173.07 in mild cases to 272.29 in severe cases, there was no significant correlation with CTSS (r-value=-0.78, p-value=0.177). Conclusion: CTSS emerges as a valuable radiological biomarker for predicting COVID-19 severity. However, due to its cost and limited availability in grassroots-level hospitals, there is a need for alternative severity prediction models. Present study proposes a predictive model using NLR and LMR biomarkers as alternatives to CTSS for assessing COVID-19 severity. [ABSTRACT FROM AUTHOR]

This study explored the associations between peripheral immunity with cerebral small vessel diseases. Older adults without dementia from the Alzheimer's Disease Neuroimaging Initiative were investigated. Peripheral blood was obtained, and magnetic resonance imaging was performed to measure cerebral microbleeds (CMB), lacunar infarctions (LI), and white matter hyperintensities (WMH). Multivariable-adjusted regression models, linear mixed-effects models, and the Spearman correlations were used to evaluate the associations. At baseline, individuals with greater neutrophils (odds ratio [OR] =1.10, 95% confidence interval [CI] 1.00–1.20, p =0.042) and monocytes (OR=1.12, 95% CI 1.02–1.22, p =0.016) had higher WMH volume. On the contrary, a higher lymphocyte-to-monocyte ratio (LMR) was related to lower WMH volume (OR=0.91, 95% CI 0.82–1.00, p =0.041). Longitudinally, higher neutrophils (ρ=0.084, p =0.049) and NLR (ρ=0.111, p =0.009) predicted accelerated progression of WMH volume, while a greater LMR (ρ=−0.101, p =0.018) was linked to slower growth of WMH volume. Nevertheless, associations between peripheral immunity with CMB or LI were not observed at baseline and follow-up. Our study found that peripheral immune indexes could serve as convenient noninvasive biomarkers of WMH. • Participants with higher LMR at baseline had a lower risk of WMH. • Lower LMR or higher NLR at baseline predicted faster WMH progression longitudinally. • Innate immunity and adaptive immunity may play opposite roles in CSVD. [ABSTRACT FROM AUTHOR]

The systemic inflammatory response is strongly involved in the progression of malignant tumors, and it is useful for predicting survival time and determining therapeutic effects. The inflammatory biomarkers, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) are used to assess post-treatment survival and recurrence in various malignant tumors.(Walsh et al., 2005; Burt et al., 2011; Smith et al., 2009) 1,2,3 These indicators may be effective as predictive markers for head and neck malignancies. The participants were 125 glottic laryngeal and supraglottic cancer cases who received primary treatment in our department from 2010 to 2016. The NLR, LMR, and PLR for each patient were calculated in addition to the association with overall survival (OS) rate, disease-specific survival (DSS) rate, and laryngeal preservation rate for tumor location, T and N classification, TNM stage classification, treatment, and smoking. We investigated whether inflammatory biomarkers are useful for predicting prognosis. The cutoff values for NLR, LMR, and PLR on the ROC curve were 1.88, 5.57, and 108, respectively. Multivariate analysis with LMR 5.57 as the cutoff value showed significant differences in OS, DSS, and laryngeal preservation. However, setting the cutoff values for NLR 1.88 and PLR 108 showed significant differences only in OS and laryngeal preservation. LMR may be a total survival predictor of laryngeal cancer, including OS, DSS, and laryngeal preservation. [ABSTRACT FROM AUTHOR]

Ustekinumab (UST) is an anti–IL-12/23p40 monoclonal antibody used to treat inflammatory bowel disease. The aim of this retrospective, multicenter study was to investigate the effectiveness of UST administration in achieving remission in patients with ulcerative colitis (UC) and to determine patient characteristics that influence its effectiveness. Of 88 UC patients who received UST from March 2020 to August 2023, 47 with traceable data and for whom 56 weeks had elapsed since the start of treatment received UST to induce remission. The remission rates at 8 weeks were 66% overall, 73.7% for Bio Naïve (never used biologics/JAK inhibitors), and 60.7% for Bio Failure (used biologics/JAK inhibitors) groups. Remission rates at 56 weeks were 70.2% overall, 73.7% for Bio Naïve, and 67.9% for Bio Failure groups. Ustekinumab showed good mid-to-long-term results in the induction of remission of UC in both Bio Naïve and Bio Failure groups. The group showing remission at 8 weeks had a significantly higher non-relapse or continuation rate (proportion of patients with no worsened symptoms necessitating surgery/drug change) at 56 weeks. Predictive factors for achieving remission after UST in UC were female gender, low body mass index, and low lymphocyte-to-monocyte ratio. Thus, UST is effective for moderate-to-severe UC. [ABSTRACT FROM AUTHOR]

Aim: To predict the prognosis of gastric cancer patients with triple-negative tumor markers. Materials & methods: Prognostic factors of the nomogram were identified through univariate and multivariate Cox regression analyses. Calibration and receiver operating characteristic curves were used to assess accuracy. Decision curve analysis and concordance indexes were utilized to compare the nomogram with the pathological tumor, node, metastasis stage. Results: A nomogram incorporating log odds of positive lymph nodes, tumor size and lymphocyte-to-monocyte ratio was constructed. The calibration and receiver operating characteristic curves (area under the curve >0.85) showed high accuracy in predicting overall survival. The concordance indexes (0.832 vs 0.760; p < 0.001) and decision curve analysis demonstrated that the nomogram was superior to the pathological tumor, node, metastasis stage. Conclusion: A prediction and risk stratification nomogram has been developed and validated for gastric cancer patients with triple-negative tumor markers. [ABSTRACT FROM AUTHOR]

Background Stroke-associated pneumonia (SAP) is a common complication of acute ischemic stroke (AIS) and is associated with increased mortality and prolonged hospital stays. The lymphocyte-to-monocyte ratio (LMR) is a novel inflammatory marker that has been shown to be associated with various diseases. However, the relationship between the LMR and SAP in patients with AIS remains unclear. Methods A retrospective cohort study was conducted on 1,063 patients with AIS admitted to our hospital within 72 hours of symptom onset. Patients were divided into two groups: the SAP group (n = 99) and the non-SAP group (n = 964). The LMR was measured within 24 hours of admission, and the primary outcome was the incidence of SAP. We used univariate and multivariate logistic regression analyses to assess the relationship between the LMR and SAP. Additionally, curve-fitting techniques and subgroup analyses were conducted. Result The incidence of SAP was 9.31%. We found that the LMR was significantly lower in the SAP group than in the non-SAP group (2.46 ± 1.44 vs. 3.86 ± 1.48, P

Xuejiao Liu, Lei Teng, Junzhu Dai, Hongxue Shao, Rui Chen, Haixiang Li, Jing Li, Huichao Zou Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of ChinaCorrespondence: Huichao Zou, Email zouhuichao@hrbmu.edu.cnBackground: The neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) are inflammatory biomarkers. Until now, it is unknown the impact of opioid dosage on perioperative immunity in glioma patients. The aim of this study was to explore the effect of intraoperative opioid dosage on perioperative immune perturbations using NLR and LMR as inflammatory biomarkers and evaluate the correlation between inflammatory biomarkers and pathological grade of glioma.Methods: The study included 208 patients with primary glioma who underwent glioma resection from February 2012 to November 2019 at Harbin Medical University Cancer Hospital. Complete blood count (CBC) was collected at 3 time points: one week before surgery, and 24 hours and one week after surgery. Patients were divided into high-dose and low-dose groups, based on the median value of intraoperative opioid dose. The relationships between perioperative NLR, LMR and intraoperative opioid dosage were analyzed using repeated measurement analysis of variance (ANOVA). Correlations between preoperative various factors and pathological grade were analyzed by Spearman analysis. Receiver operating characteristic (ROC) curves were performed to assess the predictive performance of the NLR and LMR for pathological grade.Results: The NLR (P=0.020) and lower LMR (P=0.037) were statistically significant different between high-dose and low-dose groups one week after surgery. The area under the curve (AUC) of the NLR to identify poor diagnosis was 0.685, which was superior to the LMR (AUC: 0.607) and indicated a correlation between the NLR with pathological grade. The preoperative NLR (P=0.000), LMR (P=0.009), age (P=0.000) and tumor size (P=0.001) exhibited a significant correlation with the pathological grade of glioma.Conclusion: Intraoperative opioids in the high-dose group were associated with higher NLR and lower LMR in postoperative glioma patients. The preoperative NLR and LMR demonstrated predictive value for distinguishing between high-grade and low-grade gliomas.Keywords: glioma, intraoperative opioid dosage, neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, pathological grade

This prospective study investigated the association between elevated neutrophil-to-monocyte ratio (NMR), lymphocyte-to-monocyte ratio (LMR), C-reactive protein (CRP), procalcitonin, and tumor necrosis factor-alpha (TNF-alpha) and the risk of developing neurological complications in mechanically ventilated neonates. The aim was to evaluate these biomarkers’ predictive value for neurological complications. Within a one-year period from January to December 2022, this research encompassed neonates born at ≥35 weeks of gestational age who required mechanical ventilation in the neonatal intensive care unit (NICU) from the first day of life. Biomarkers were measured within the first 24 h and at 72 h. Sensitivity, specificity, and area under the curve (AUC) values were calculated for each biomarker to establish the best cutoff values for predicting neurological complications. The final analysis included a total of 85 newborns, of which 26 developed neurological complications and 59 without such complications. Among the studied biomarkers, TNF-alpha at >12.8 pg/mL in the first 24 h demonstrated the highest predictive value for neurological complications, with a sensitivity of 82%, specificity of 69%, and the highest AUC (0.574, p = 0.005). At 72 h, TNF-alpha levels greater than 14.3 pg/mL showed further increased predictive accuracy (sensitivity of 87%, specificity of 72%, AUC of 0.593, p < 0.001). The NMR also emerged as a significant predictor, with a cutoff value of >5.3 yielding a sensitivity of 78% and specificity of 67% (AUC of 0.562, p = 0.029) at 24 h, and a cutoff of >6.1 showing a sensitivity of 76% and specificity of 68% (AUC of 0.567, p = 0.025) at 72 h. Conversely, CRP and procalcitonin showed limited predictive value at both time points. This study identifies TNF-alpha and NMR as robust early predictors of neurological complications in mechanically ventilated neonates, underscoring their potential utility in guiding early intervention strategies. These findings highlight the importance of incorporating specific biomarker monitoring in the clinical management of at-risk neonates to mitigate the incidence of neurological complications.

Objective: In this study, we investigated the prognostic values of various pathological and inflammatory parameters in patients with high-grade lamina propriainvasive (T1G3) bladder cancer (BC). Materials and Methods: Between 2006 and 2018, patients with pathological evaluation of T1G3 bladder urothelial carcinoma in our institution who did not meet the exclusion criteria were included in the study. Parameters such as gender, tumor diameter, tumor number, lamina propria invasion depth, presence of carcinoma in situ, presence of lymphovascular invasion (LVI), presence of variant histology, lymphocyte monocyte ratio (LMR), platelet lymphocyte ratio (PLR), neutrophil lymphocyte ratio (NLR), and systemic inflammatory markers (SIM) were statistically analyzed. Results: After the exclusion criteria were evaluated, 76 patients were included in the study from 157 patients. Recurrence was observed in 37 (48.68%) patients, and progression was observed in 21 (27.63%) patients. A significant relationship was discovered between LMR (p<0,001), PLR (p<0.004), NLR (p<0.002), tumor diameter (p<0.002), number of tumors (p<0,007), and SIM score (p<0,001) with the probability of recurrence. The probability of progression was associated with NLR (p<0.023), LVI (p<0.005), tumor diameter (p<0.012) and tumor number (p<0.001). A significant relationship was found between SIM (p<0.041) and recurrence-free survival. We found a significant relationship between LVI (p<0.022) and progression-free survival. Conclusions: In this study, we found positive correlations between some inflammatory markers and recurrence/progression in patients with T1G3 BC. According to our study, inflammatory parameters such as NLR, PLR, LMR, and SIM score should be evaluated while investigating the possibility of recurrence/progression in patients with T1G3 BC. [ABSTRACT FROM AUTHOR]

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. 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. 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%). 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. [ABSTRACT FROM AUTHOR]

Background: Inflammation plays a pivotal role in the pathogenesis of Parkinson's disease (PD). However, the correlation between peripheral inflammatory markers and the severity of PD remains unclear. Methods: The following items in plasma were collected for assessment among patients with PD (n = 303) and healthy controls (HCs; n = 303) were assessed for the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-high-density-lipoprotein ratio (NHR) in plasma, and neuropsychological assessments were performed for all patients with PD. Spearman rank or Pearson correlation was used to evaluate the correlation between the NLR, the LMR and the NHR and the severity of PD. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the NLR, LMR and NHR for PD. Results: The plasma NLR and NHR were substantially higher in patients with PD than in HCs, while the plasma LMR was substantially lower. The plasma NLR was positively correlated with Hoehn and Yahr staging scale (H&Y), Unified Parkinson's Disease Rating Scale (UPDRS), UPDRS-I, UPDRS-II, and UPDRS-III scores. Conversely, it exhibited a negative relationship with Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Furthermore, the plasma NHR was positively correlated with H&Y, UPDRS, UPDRS-I, UPDRS-II and UPDRS-III scores. Moreover, negative associations were established between the plasma LMR and H&Y, UPDRS, UPDRS-I, UPDRS-II, and UPDRS-III scores. Finally, based on the ROC curve analysis, the NLR, LMR and NHR exhibited respectable PD discriminating power. Conclusion: Our research indicates that a higher NLR and NHR and a lower LMR may be relevant for assessing the severity of PD and appear to be promising disease-state biomarker candidates. [ABSTRACT FROM AUTHOR]

Background: Young patients with tongue squamous cell carcinoma (TSCC) mostly lack typical prognostic markers and face a dire prognosis. The aim of this study was to analyze the prognostic relevance of lymphocyte-to-monocyte ratio (LMR) in TSCC patients, with a special emphasis on patients under 45 years. Methods: This retrospective study included all patients primarily treated for TSCC. The prognostic relevance of LMR was investigated in terms of predicting the overallsurvival (OS) and disease-free survival (DFS). Results: A total of 74 patients were included and the young cohort (<45 years) comprised 27 individuals. The mortality and recurrence rates were 39.2% (n = 29) and 37.8% (n = 28), respectively. OS and DFS were significantly shorter in the low LMR group within the whole cohort. Furthermore, low LMR was associated with worse prognosis, particularly inferior OS (median OS 1.7 vs. 14.6 years, p = 0.0156) and worse DFS (median DFS 0.8 years vs. not reached, p = 0.0405) in the young patient cohort. Conclusions: Our results reveal that pretreatment LMR might become a prognostic tool for young TSCC patients, especially due to its availability. However, further studies on larger cohorts are necessary to validate our results. [ABSTRACT FROM AUTHOR]

Abstract Background and purpose Whether 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. Methods Adult 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. Results One 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 (

Rui Zhao, Jing Zhao, Yichuan Song, Wenxuan Fu, Qingtao Wang, Rui Zhang Department of Clinical Laboratory, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Qingtao Wang; Rui Zhang, Department of Clinical Laboratory, Beijing Chao-yang Hospital, Capital Medical University, No. 8, Gongtinan Road, Chao-Yang District, Beijing, 100020, People’s Republic of China, Tel +86 1085231660, Email wqt36@163.com; zr189169@163.comPurpose: Outcomes after autologous stem cell transplantation (ASCT) are quite variable and difficult to predict. Second-generation flow, second-generation sequencing, and other tests are invasive and expensive for patients. In this study, we aimed to analyze laboratory data before and after transplantation to look for laboratory indicators that could predict disease progression in patients with newly diagnosed multiple myeloma (NDMM) patients underwent ASCT.Patients and Methods: Standard complete blood count (CBC) parameters, clinical biochemical, and immunological indicators on day -5 and day 90 after ASCT were obtained. Receiver-operating characteristic (ROC) curve was used to determine the cutoff values, we evaluated the predictive abilities of laboratory parameters for progression-free survival (PFS). Univariate and multivariate analyses were performed to evaluate the prognostic significance of variables associated with the PFS of 166 NDMM who underwent ASCT.Results: At day-5, a low absolute monocyte count (AMC, p=0.001), systemic inflammation response index< 1.56 (SIRI, P=0.03), serum calcium (p=0.02), and albumin (p=0.006) can predict for superior PFS. At Day +90, a high absolute neutrophil count (ANC, p = 0.008) and lymphocyte-to-monocyte ratio (LMR, p = 0.02), a low neutrophil-to-lymphocyte ratio (NLR, p =0.02) and SIRI< 0.41 (p=0.02) predicted for superior PFS.Conclusion: There are inflammation-related indicators derived from peripheral blood cell count (WBCC) – ANC, NLR, SIRI, and LMR - which can serve as potential biomarkers for predicting PFS of NDMM patients underwent ASCT.Keywords: multiple myeloma, autologous stem cell transplantation, SIRI, lymphocyte-to-monocyte ratio

Abstract Background Many studies have explored the prognostic role of the lymphocyte-to-monocyte ratio (LMR) in patients with glioma, but the results have been inconsistent. We therefore conducted the current meta-analysis to identify the accurate prognostic effect of LMR in glioma. Methods The electronic databases of PubMed, Web of Science, Embase, and Cochrane Library were thoroughly searched from inception to July 25, 2023. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to estimate the prognostic role of LMR for glioma. Results A total of 16 studies comprising 3,407 patients were included in this meta-analysis. A low LMR was significantly associated with worse overall survival (OS) (HR = 1.35, 95% CI = 1.13–1.61, p = 0.001) in glioma. However, there was no significant correlation between LMR and progression-free survival (PFS) (HR = 1.20, 95% CI = 0.75–1.91, p = 0.442) in glioma patients. Subgroup analysis indicated that a low LMR was significantly associated with inferior OS and PFS in glioma when using a cutoff value of ≤ 3.7 or when patients received mixed treatment. Conclusions This meta-analysis demonstrated that a low LMR was significantly associated with poor OS in glioma. There was no significant correlation between LMR and PFS in glioma patients. The LMR could be a promising and cost-effective prognostic biomarker in patients with glioma in clinical practice.

Abstract This study aimed to investigate the potential of inflammatory markers, including platelet‐to‐lymphocyte ratio (PLR), neutrophil‐to‐lymphocyte ratio (NLR), lymphocyte‐to‐monocyte ratio (LMR), and C‐reactive protein‐to‐lymphocyte ratio (CLR), in identifying sacroiliitis. Present retrospective study was conducted at the Abant Izzet Baysal University Hospital, including patients diagnosed with sacroiliitis between August 2020 and March 2023. Control subjects with normal sacroiliac joints were also included. Sacroiliitis patients were further categorized into active and chronic sacroiliitis groups. Demographic data and laboratory characteristics, such as erythrocyte sedimentation rate (ESR), C‐reactive protein (CRP), and various blood parameters, were recorded. Inflammatory markers were calculated, including PLR, NLR, LMR, and CLR. Statistical analyses were performed to compare the study groups and evaluate the diagnostic performance of these markers. A total of 226 subjects, including 132 sacroiliitis patients and 94 control subjects, were included in the study. Serum CRP levels were significantly higher in sacroiliitis patients compared to the control group. NLR, PLR, and CLR values were elevated in sacroiliitis patients, while LMR was decreased. There were significant correlations between these markers and established inflammatory markers. Receiver operating characteristic (ROC) analysis demonstrated moderate diagnostic performance for NLR, PLR, LMR and CLR in detecting sacroiliitis. Inflammatory markers, specifically NLR, PLR, LMR and CLR, showed significant differences between sacroiliitis patients and the control group. In addition PLR is useful in distinguishing active and chronic sacroiliitis. These markers, in conjunction with established inflammatory markers, may serve as supportive diagnostic tools for sacroiliitis.

Objective: It is known that coronavirus disease-2019 (COVID-19) showed a clinical course with milder symptoms in children than in adults. However, a multisystem inflammatory syndrome in children (MIS-C), which developed 2-4 weeks after COVID-19 infection, emerged in April 2021. Other respiratory viruses such as influenza, respiratory syncytial virus, and parainfluenza spread worldwide after loosening pandemic restrictions. Pediatricians were challenged to distinguish COVID-19, MIS-C, and other viral infections from each other. Herein, we have aimed to determine basic, simple hematological parameters that can predict the prognosis and outcomes of the patients with COVID-19 and MIS-C. Method: In this study, 300 pediatric inpatients including those with MIS-C, COVID-19, and other respiratory virus infections admitted to Ege University Faculty of Medicine between January 2018 and September 2021, were retrospectively evaluated. Results: The neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-monocyte ratio (NMR), derived NLR, and the systemic inflammatory index were higher in the MIS-C patients compared to others. The lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR) were lower in children with COVID-19 disease than those with MIS-C (p

Jincheng Guan,1 Qiong Wang,2 Qingshi Zhao1 1Department of Neurology, People’s Hospital of Longhua, Shenzhen, People’s Republic of China; 2Department of Neurology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People’s Republic of ChinaCorrespondence: Qingshi Zhao, Department of Neurology, People’s Hospital of Longhua, 38 Jinglong Construction Road, Shenzhen, 518109, People’s Republic of China, Email zhaoqingshi1978@163.comBackground and Purpose: Acute ischemic stroke (AIS) caused by large artery occlusion (LAO) poses considerable risks in terms of mortality and disability. Endovascular treatment (EVT) has emerged as a primary intervention for this condition. However, the occurrence of futile recanalization (FR) following EVT remains common, necessitating the identification of predictive markers for treatment outcomes. Although the lymphocyte to monocyte ratio (LMR) has been linked to various diseases, its association with FR after EVT in AIS patients has not been investigated.Methods: An analysis was conducted on patients with AIS who underwent EVT within 24 hours of symptom onset. The success of reperfusion was evaluated using the modified Thrombolysis in Cerebral Infarction (mTICI) scale, with patients achieving an mTICI score of ≥ 2b being included in the study. Various clinical, radiological, and laboratory variables, including lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), were collected. Logistic regression analysis was used to determine factors associated with FR, and receiver operating characteristic (ROC) analysis was performed to assess the predictive value of LMR.Results: Among the cohort of 101 patients, it was observed that 52.4% experienced FR. Upon admission, lower levels of lymphocyte-to-monocyte ratio (LMR) were found to be associated with older age, higher baseline NIHSS scores, lower ASPECTS, and poorer mRS scores at 90 days. Both univariate and multivariate logistic regression analyses indicated that low LMR independently predicted FR, with an adjusted odds ratio of 0.64 (95% CI = 0.412– 0.984, p = 0.042). ROC analysis further demonstrated that LMR had an area under the curve (AUC) of 0.789 for predicting FR.Conclusion: This study establishes the potential value of the lymphocyte-to-monocyte ratio (LMR) as a prognostic marker for predicting FR in patients with AIS undergoing EVT. Decreased LMR levels are associated with unfavorable clinical outcomes.Keywords: acute ischemic stroke, large artery occlusion, endovascular therapy, lymphocyte-to-monocyte ratio, futile recanalization, prognostic marker, inflammation, treatment outcomes

Inflammation is a hallmark of tumors and plays an important role in tumorigenesis, progression, metastasis and prognosis. Neutrophils, platelets, monocytes/macrophages and lymphocytes are the important components of the solid tumor-associated microenvironment such as lung cancer, and exert pro- and anti-inflammatory effects through multiple mechanisms. Their associated neutrophil-to-lymphocyte ratio, platelet-to-lymphocyteratio and lymphocyte-to-monocyte ratio can reflect the body inflammatory status and the balance between pro- and anti-tumor effects. They are the promising indicators for lung cancer screening, monitoring disease progression, efficacy and prognosis assessment. This paper reviews the relationship among inflammation, immunity and lung cancer, and the application of novel inflammatory markers in lung cancer. [ABSTRACT FROM AUTHOR]

Objective: To explore the immune status and chronic inflammation of breast cancer patients, this study aims to analyze the diagnostic value of peripheral blood lymphocyte subsets (CD3+T, CD4+T, CD8+T, CD3+CD4−CD8−T, CD19+B, and NK cells) and lymphocyte-to-monocyte ratio (LMR) for breast cancer. Furthermore, it seeks to examine the correlation between these subsets and LMR with clinicopathological features. Methods: A total of 100 breast cancer patients were selected as the experimental group, while 55 patients with benign breast diseases were included in the control group. Statistical analysis, including the Wilcoxon test, Kruskal–Wallis test and the receiver operating characteristic curve, was employed to investigate the association between these serum indexes and the clinicopathological characteristics of the patients. Results: The levels of CD3+T cells, CD4+T cells, CD8+T cells, CD4+/CD8+ ratio, NK cells, CD3+CD4−CD8−T cells, and LMR were found to be related to the occurrence of breast cancer when analyzing data from patients with benign and malignant breast diseases. Among these biomarkers, CD3+T cells, CD4+T cells, CD4+/CD8+ ratio, CD3+CD4−CD8−T cells, and LMR were identified as independent risk factors for breast cancer development, and the AUCs were 0.760, 0.750, 0.598, 0.697, and 0.761 (P < 0.05), respectively. Furthermore, we observed varying degrees of differences in the expression of CD3+T cells, CD4+T cells, CD8+T cells, CD4+/CD8+ ratio, and LMR in lymph node metastasis, clinical staging, molecular typing, Ki-67 level (P < 0.05). However, statistical differences in histologic grade and pathology type were not found (P ≥ 0.05). Conclusion: Lymphocyte subsets and LMR reflect the immune status and chronic inflammation of the body, respectively. They have certain value in the diagnosis of benign and malignant breast diseases, and correlate with lymph node metastasis, clinical staging, molecular typing and other clinicopathological features of breast cancer. Therefore, monitoring the expression of lymphocyte subsets and LMR in the body may help the auxiliary diagnosis and condition analysis of breast cancer in the clinic. [ABSTRACT FROM AUTHOR]

Background: Emerging evidence suggests a correlation between the lymphocyte-monocyte ratio (LMR) and the prognosis in patients with gastric cancer (GC) undergoing immune checkpoint inhibitor (ICI) therapy. Nevertheless, the existing findings remain contentious. Methods: A comprehensive search of literature was conducted in databases including PubMed, Embase, Web of Science, and the Cochrane Library, spanning from the inception of each database to August 30, 2023 to collect studies exploring the interplay between LMR and clinical outcomes. Eligible studies were selected following predefined inclusion and exclusion criteria. Primary outcomes encompassed progression-free survival (PFS) and overall survival (OS), which were estimated using hazard ratios (HR) and corresponding 95% confidence intervals (CI). Results: Our analysis incorporated eight cohort studies, involving 815 patients. Aggregate data revealed associations between an elevated LMR at baseline and prolonged PFS (HR=0.58; 95% CI: 0.47–0.71, p<0.00001) and improved OS (HR=0.51, 95% CI: 0.33–0.79; p=0.003). Furthermore, LMR exhibited a favorable association with PFS after treatment (HR=0.48; 95% CI: 0.29–0.79; p= 0.004), while such a correlation was not evident in the OS analysis. Importantly, a high level of LMR was associated with prolonged PFS across varying sample sizes, follow-up duration, treatment combinations, line of therapy, and cut-off values. Conclusion: A high pre-treatment LMR is associated with improved OS and PFS in GC patients treated with ICIs. LMR emerges as a potent biomarker for prognostic assessment in these patients, offering valuable insights for informed treatment decisions within the domain of GC immunotherapy. [ABSTRACT FROM AUTHOR]

Background: Many studies have explored the prognostic role of the lymphocyte-to-monocyte ratio (LMR) in patients with glioma, but the results have been inconsistent. We therefore conducted the current meta-analysis to identify the accurate prognostic effect of LMR in glioma. Methods: The electronic databases of PubMed, Web of Science, Embase, and Cochrane Library were thoroughly searched from inception to July 25, 2023. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to estimate the prognostic role of LMR for glioma. Results: A total of 16 studies comprising 3,407 patients were included in this meta-analysis. A low LMR was significantly associated with worse overall survival (OS) (HR = 1.35, 95% CI = 1.13–1.61, p = 0.001) in glioma. However, there was no significant correlation between LMR and progression-free survival (PFS) (HR = 1.20, 95% CI = 0.75–1.91, p = 0.442) in glioma patients. Subgroup analysis indicated that a low LMR was significantly associated with inferior OS and PFS in glioma when using a cutoff value of ≤ 3.7 or when patients received mixed treatment. Conclusions: This meta-analysis demonstrated that a low LMR was significantly associated with poor OS in glioma. There was no significant correlation between LMR and PFS in glioma patients. The LMR could be a promising and cost-effective prognostic biomarker in patients with glioma in clinical practice. [ABSTRACT FROM AUTHOR]

Objective: Neutrophil, lymphocyte, monocyte, thrombocyte counts and as novel inflammatory factors, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and red cell distribution width (RDW) play an important role in the occurrence and development of diseases. In this study, it was aimed to investigate the relationship between preoperative NLR, PLR, LMR and RDW values of patients hospitalized in the intensive care unit (ICU) after oncological surgery, and the length of intensive care and mortality rates. In addition, it was aimed to compare the demographic, clinical characteristics and laboratory parameters of the patients between both groups. Methods: Patients hospitalized in the ICU after oncological surgery were included in the study. The patients were divided into two groups as patients undergoing gastrointestinal malignancy (colorectal, stomach and hepatocellular) surgery (group 1) and patients who had undergoing urologic malignancy (kidney, bladder and prostate) surgery (group 2). Information regarding demographics (age and gender), comorbidities, neutrophil-lymphocyte-platelet counts, NLR-PLR-LMR-RDW values, length of ICU stay, acute physiology and chronic health evaluation II (APACHE-II) score, Glasgow coma scale and mortality rates were recorded. Results: Two hundred sixty-eight patients were analyzed including 144 patients (99 women, 45 men) undergoing gastrointestinal malignancy surgery (group 1), 124 patients (28 women, 96 men) undergoing urologic malignancy surgery (group 2). We found differences in lymphocyte count, LMR, and PLR values between the two groups. We found that NLR, PLR, LMR, and RDW values, as well as the counts of neutrophils, lymphocytes, and platelets, can predict mortality at specific cut-off points. Furthermore, we also identified an association between NLR, PLR, RDW values, and the APACHE-II score with the length of ICU stay. There was a difference in lymphocyte count, LMR and PLR values between the two groups. Conclusion: By utilizing cost-effective and practically applicable laboratory parameters, we can anticipate the mortality rates of patients following after cancer surgery. Patients predicted to have a high mortality rate can be followed more closely and comprehensively. [ABSTRACT FROM AUTHOR]

Objective: It is known that coronavirus disease-2019 (COVID-19) showed a clinical course with milder symptoms in children than in adults. However, a multisystem inflammatory syndrome in children (MIS-C), which developed 2-4 weeks after COVID-19 infection, emerged in April 2021. Other respiratory viruses such as influenza, respiratory syncytial virus, and parainfluenza spread worldwide after loosening pandemic restrictions. Pediatricians were challenged to distinguish COVID-19, MIS-C, and other viral infections from each other. Herein, we have aimed to determine basic, simple hematological parameters that can predict the prognosis and outcomes of the patients with COVID-19 and MIS-C. Method: In this study, 300 pediatric inpatients including those with MIS-C, COVID-19, and other respiratory virus infections admitted to Ege University Faculty of Medicine between January 2018 and September 2021, were retrospectively evaluated. Results: The neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-monocyte ratio (NMR), derived NLR, and the systemic inflammatory index were higher in the MIS-C patients compared to others. The lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR) were lower in children with COVID-19 disease than those with MIS-C (p<0.05). Conclusions: In this study, we have shown that commonly used hematological tests, especially higher values of NLR, NMR for children with MIS-C, and lower levels of LMR for children with COVID-19, are significant and can help to determine the possible disease course of children at an early stage. [ABSTRACT FROM AUTHOR]

Background: Inflammation has been associated with tumor development and circulating inflammatory biomarkers have been proposed as possible predictors of recurrence of several solid tumors. However, the role of inflammation markers in differentiated thyroid carcinoma (DTC) is still uncertain. Objective: This meta-analysis aimed to assess the prognostic value of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in patients with DTC. Methods: Studies investigating the association between survival and preoperative circulating inflammatory markers in DTC patients were included. The primary outcome was disease-free survival (DFS). Cumulative logarithms of the hazard ratio (log-HRs) with 95% CI were calculated through the inverse variance method using a random-effects model. Results: A total of 7599 patients with a mean age of 48.89 (95% CI 44.16–53.63) were included. The estimated pooled log-HRs for DFS were 0.07 for NLR (95% CI -0.12–0.26; p = 0.43), -0.58 for LMR (95% CI -1.21–0.05; p = 0.06), and 0.01 (95% CI 0–0.01; p = 0.21) for PLR. Conclusions: Our meta-analysis showed no association between NLR, PLR, LMR and DFS in DTC; however, more prospective data are needed to better define the association between inflammatory status and prognosis of DTC. [ABSTRACT FROM AUTHOR]

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