Clinical diagnostic value of methylated SEPT9 combined with NLR, PLR and LMR in colorectal cancer.

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.

A predictive nomogram developed and validated for gastric cancer patients with triple-negative tumor markers.

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.

Lymphocyte-to-Monocyte Ratio Predicts Survival for Intraductal Papillary Mucinous Neoplasm with Associated Invasive Carcinoma of the Pancreas: Results from a High-Volume Center.

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.

Effect of the lymphocyte-to-monocyte ratio on the prognosis of patients with obstructive colorectal cancer with a colonic stent: a retrospective multicenter study in Japan.

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.

Prognostic value of pretreatment lymphocyte-to-monocyte ratio in patients with glioma: a meta-analysis.

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.

Preoperative systemic inflammatory markers as prognostic factors in differentiated thyroid cancer: a systematic review and meta-analysis.

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.

Prognostic significance of absolute monocyte count and lymphocyte to monocyte ratio in mucosa-associated lymphoid tissue (MALT) lymphoma.

To investigate the prognostic significance of peripheral blood absolute monocyte count (AMC) and lymphocyte to monocyte ratio (LMR) in mucosa-associated lymphoid tissue (MALT) lymphoma, we retrospectively analyzed 316 newly diagnosed patients with MALT lymphoma. The best cut-off value of AMC was 0.6 × 109/L and LMR was 1.8 by x-tile according to progression-free survival (PFS). Multivariate analysis showed that MALT-IPI (p < 0.001), Eastern Cooperative Oncology Group performance status (ECOG PS) (p = 0.010), and LMR (p = 0.003) have independent prognostic significance for PFS, MALT-International Prognostic Index (MALT-IPI) (p = 0.018), ß2-microglobulin (ß2-MG) (p = 0.015), and LMR (p = 0.029) predicted poor overall survival (OS). Receiver-operator characteristic (ROC) curves were used to compare the prognostic prediction capability of MALT-IPI and MALT-IPI-M (MALT-IPI combined with LMR); area under the curves (AUCs) for MALT-IPI-M were larger than that for MALT-IPI both PFS (0.682 vs 0.654) and OS (0.804 vs 0.788). Our results indicated that that low level LMR at diagnosis was associated with inferior prognosis. The new prognostic index, MALT-IPI-M, enabled the risk stratification capability for MALT lymphoma survival.

Early reversal of the lymphocyte-to-monocyte ratio after allogeneic-hematopoietic stem cell transplantation is associated with reduced relapse and improved prognosis.

BACKGROUND: The early recovery of lymphocyte and monocyte cells is associated with a favorable prognosis after allogeneic stem cell transplantation (allo-HSCT); however, it is not clear whether the balance of lymphocyte and monocyte recovery affects the post-transplant prognosis. METHODS: We examined whether the time-point at which the number of lymphocytes exceeded the number of monocytes, which we termed lymphocyte-to-monocyte ratio reversal (LMRR), affected the prognosis after allo-HSCT. We retrospectively evaluated 235 patients who underwent their first allo-HSCT at our institution. RESULTS: The median number of days from HSCT to LMRR was 46 (range, 0-214), and the patients were divided into two groups according to the occurrence of LMRR by day 45 (LMRR45). In a multivariate analysis, early LMRR contributed favorably to overall survival (hazard ratio [HR] .519; 95% confidence interval [CI] .332-.812; p = .004) with fewer post-transplant relapses (HR .462; 95% CI, .274-.777; p = .004). Differences in the timing of LMRR did not affect non-relapse mortality (HR 1.477; 95% CI .779-2.80; p = .23) or the incidence of grade II-IV acute GVHD (LMRR45(+): 25.0% vs. LMRR45(-) 35.2%. p = .111). In subgroup analyses, LMRR45(+) was found to be a favorable factor for survival with less relapse, regardless of the disease risk, stem cell source, or the recovery of either lymphocyte or monocyte counts. CONCLUSIONS: An early LMRR may be a novel factor that is associated with reduced relapse and improved survival after allo-HSCT.

The relationship between hematological indices as indicators of inflammation and 25-hydroxyvitamin D3 status in newborns.

BACKGROUND: There is still much unknown about the relationship between hematological parameters and vitamin D status in newborns. The aim of the study is to evaluate the relationship between 25(OH)D3 (vitamin D) status and new defined systemic inflammatory markers neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), and platelet to lymphocyte ratio (PLR) in newborns. METHODS: One hundred newborns were enrolled in the study. Serum vitamin D status, below < 12 ng/mL (< 30 nmol/L) as deficient, 12-20 ng/mL (30-50 nmol/L) as insufficient, and > 20 ng/mL (> 50 nmol/L) was considered as sufficient. RESULTS: Parallel to maternal and newborn vitamin D status were also statistically different between the groups (p < 0.05). Moreover, there was a statistically significant difference was found between the deficient, sufficient and insufficient groups in terms of newborn hemoglobin, neutrophil, monocytes, NLR, PLT, PLR and neutrophil to monocyte ratio (NMR) (p < 0.05, in all). There was also a positive correlation between maternal and newborn vitamin D status (r = 0.975, p = 0.000). The newborn NLR were negative correlated with newborn vitamin D status (r = -0.616, p = 0.000). CONCLUSIONS: The results of this study suggest that there may be potential new biomarkers to predict inflammation associated with the inflammatory state that may arise due to changes in NLR, LMR, and PLR in vitamin D deficiency in newborns. NLR and other hematologic indices may be non-invasive, simple, easily measurable, cost-effective markers of inflammation in newborns.

A novel combined carbohydrate antigen 19-9 and lymphocyte-to-monocyte ratio score can predict early recurrence of resectable pancreatic ductal adenocarcinoma.

PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) often recurs early after radical resection, which causes a poor prognosis. This study aimed to establish a scoring model to assess the optimal treatment in patients who underwent surgery for PDAC. METHODS: This single-center retrospective study included 127 patients who underwent radical resection for PDAC between 2005 and 2021. Early recurrence (ER) was defined as recurrence within 12 months after resection. The predictive effect for ER was evaluated using receiver operating characteristic (ROC) curves of preoperative parameters. RESULTS: ER occurred in 43 (33.9%) patients. The ER group had a significantly worse prognosis than the non-ER group (p < 0.0001). The carbohydrate antigen 19-9 (CA19-9) level and lymphocyte-to-monocyte ratio (LMR) were the strongest diagnostic factors (areas under the ROC curves: 0.74 and 0.68, respectively). The ER prediction score was calculated using optimal cutoff values. A higher CA19-9-LMR score was associated with a worse prognosis in terms of the overall and recurrence-free survival (p = 0.0017 and p < 0.0001, respectively). A multivariate analysis identified a high CA19-9-LMR score as an independent predictor of ER. CONCLUSIONS: The CA19-9-LMR scoring model can predict ER after surgery and is applicable for risk stratification in the assessment of patients with resectable PDAC.

Predictive Values of Hematological Parameters for Determining Imminent Brain Death: A Retrospective Study.

Background and Objectives: The inflammatory cells released after intracranial hemorrhage, such as monocytes, macrophages, and neutrophils, activate the inflammatory system. These parameters can be used to evaluate the clinical course of diseases. This study aims to evaluate these parameters as possible predictors for evaluating the development of brain death. Materials and Methods: Patients with a Glasgow coma scale score below 7 were assigned to Group BD (patients with brain death) and Group ICH (intracranial hemorrhage). The neutrophil, lymphocyte, platelet, monocyte counts, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-neutrophil ratio (PNR) were measured at admission. Results: A high WBC count, neutrophil count, NLR, and PLR and a low lymphocyte count, LMR, and PNR were found to be significant for determining brain death. The area under the curve (AUC) values of NLR, PNR, PLR, and LMR to discriminate brain death were 0.63, 0.61, 0.56, and 0.61, respectively. Conclusion: NLR, PNR, PLR, and LMR are easily accessible and reliable parameters that can be used to predict the development of brain death and can be estimated by a simple complete blood count test.

RT-induced dynamic changes in the lymphocyte-to-monocyte ratio in patients with breast cancer indicate poor prognosis.

PURPOSE: Radiation-induced anti-tumor responses occur in the immune system, particularly in peripheral blood mononuclear cells (PBMCs), which are overly sensitive to ionizing radiation. Irradiation of PBMCs is associated with inflammation. We assessed the association between radiotherapy (RT)-induced changes in peripheral blood cells, utilizing the lymphocyte-to-monocyte ratio (LMR), and survival outcome in breast cancer patients who underwent breast-conserving surgery followed by adjuvant RT. METHODS: LMR values were obtained from retrospective data, and serial sampling of blood before the first and last RT sessions was performed. The cut-off point was analyzed using the Youden index and receiver operating characteristic curve. Recurrence-free survival (RFS) and overall survival (OS) were the main outcomes. RESULTS: Patients with RT-induced low LMR had significantly shorter RFS (hazard ratio [HR] 2.730; 95% confidence interval [CI], 1.607-4.636, P = 0.0002) and OS (HR 2.890; 95% CI 1.410-5.924, P = 0.0038). The results were more robust in the subgroup of patients who received chemotherapy. Multivariate analysis showed that lymph node metastasis and RT-induced low LMR were associated with poor RFS (HR 1.763; 95% CI, 1.017-3.059, P = 0.044) and OS (HR 2.254; 95% CI, 1.060-4.796, P = 0.035). CONCLUSION: This study demonstrates that RT-induced low LMR is a valid prognostic marker for recurrence and survival in breast cancer patients undergoing RT.

Rh-endostatin combined with chemotherapy in patients with advanced or recurrent mucosal melanoma: retrospective analysis of real-world data.

BACKGROUND: Mucosal melanoma is rare and has distinct clinical and genetic features. Even with advances in targeted and immune therapies, the survival of patients with advanced or recurrent mucosal melanomas remains poor. The standard treatment remains controversial and we conducted this real-world study aimed to explore continuous intravenous recombinant human endostatin (Rh-endostatin) infusion plus chemotherapy in this population in the first-line setting. METHODS: Overall, 43 patients with advanced or recurrent mucosal melanoma treated at Fudan University Shanghai Cancer Center between April 2017 and August 2020 were retrospectively included. Patients received dacarbazine plus cisplatin or temozolomide plus cisplatin per the investigators' preference. Rh-endostatin (105 mg/m2) was administered with continuous infusion for 168 h (Civ 168 h). RESULTS: Of the 43 patients, 72.1% had metastatic disease, and the most common primary site was the gastrointestinal tract (51.2%). The most commonly observed mutations were NRAS (23.1%), BRAF (7.7%) and CKIT mutations (5.1%). An objective response was observed in 12 (30.0%) of the 40 evaluable patients, and disease control was achieved in 31 (77.5%) patients. With a median follow-up of 17.6 months, the median progression-free survival (PFS) and overall survival (OS) were 4.9 and 15.3 months, respectively. Additionally, high lymphocyte-to-monocyte ratio (LMR) (p = 0.023, HR 0.29, 95% CI: 0.10-0.84) and BRAF/KIT/RAS mutation (p = 0.028, HR 0.24, 95% CI: 0.07-0.86) were independently correlated with prolonged OS. Toxicity was manageable overall. CONCLUSION: Continuous Rh-endostatin infusion plus chemotherapy was effective and safe for the treatment of advanced or recurrent mucosal melanoma. High LMR was correlated with favorable PFS and OS in this patient population.

Utility of prognostic nutritional index and systemic immune-inflammation index in oral cancer treatment.

PURPOSE: This study aimed to evaluate the utility of inflammation-based prognostic scores (IBPS) and systemic immune-inflammation index (SII) in the treatment of oral cancer patients. METHODS: For the 183 patients enrolled in this study, IBPS and SII were calculated from peripheral blood samples obtained before and after treatment and at the time of relapse. We examined overall survival (OS) and disease-free survival (DFS) using previously reported cut-off values for IBPS. Cut-off values of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) were analyzed as NLR 1.79, PLR 114.97, LMR 5, and PNI 52.44. The cut-off value for SII was set at 569. OS and DFS were analyzed by Kaplan-Meier methods using the cutoff of each IBPS and SII. Univariate analysis and multivariate analysis using Cox proportional hazards were performed for OS and DFS. RESULTS: Kaplan-Meier methods showed the high-PNI group showed good prognosis including OS and DFS, while the high-SII group displayed poor DFS. Univariate analysis showed that pre-treatment high PNI and low SII were significantly associated with better prognosis. Multivariate analysis identified pre-treatment PNI as independently associated with OS. For DFS, univariate analysis using Cox proportional hazards modeling showed that pre-treatment high NLR and high SII were significantly associated with worse prognosis, while high PNI was significantly associated with better prognosis. Multivariate analysis identified pre-treatment PNI and SII as independently associated with DFS. Parameters of PNI and SII components were compared between pre-treatment, post-treatment and at relapse in the high- and low-PNI groups. PNI was predominantly decreased in both high- and low-PNI groups at post-treatment and at relapse compared to pre-treatment. This trend was also observed for albumin. CONCLUSIONS: Higher pre-treatment PNI was associated with better OS, while lower pre-treatment PNI and higher treatment SII were associated with poorer DFS in oral cancer patients. Our data indicated that PNI and SII might offer useful biomarkers for gauging prognosis and the efficacy of conventional therapies.

Predictive Values of the Selected Inflammatory Indexes in Colon Cancer.

PURPOSE: Ample evidence has revealed that the lymphocyte-to-monocyte ratio (LMR), albumin-to-globulin ratio (AGR), and mean platelet volume (MPV) are cancer-related inflammatory markers. The present study aimed to combine these indicators to better assess the progression of colon cancer. METHODS: This retrospective study enrolled 251 patients with colon cancer, 171 patients with benign colon diseases, and 187 healthy control subjects. The receiver operating characteristic curve and area under the curve (AUC) were used to determine the diagnostic values of the selected inflammatory index. RESULTS: The levels of LMR, AGR, and MPV were decreased in the colon cancer group compared with the healthy control and benign colon disease groups. The LMR, AGR, and MPV were all correlated with tumor size. Moreover, LMR and AGR was associated with lymph node metastasis and clinical stage, AGR was related to distant metastasis. Both the LMR (P = .030) and AGR (P = .005) were negatively correlated with the concentration of carcinoembryonic antigen (CEA). The AUC value of MPV combined with CEA had a good diagnostic ability for distinguishing colon cancer cases (AUC = .950) and patients with benign colon diseases (AUC = .886) from controls. Meanwhile, the combination of LMR or AGR with CEA could enhance larger AUC (.746 for LMR + CEA, .737 for AGR + CEA) than CEA, LMR, or AGR alone in detecting colon cancer from benign colon diseases. CONCLUSIONS: CEA combined with the LMR, AGR, or MPV may be used as better blood-based biomarkers in the progression of colon cancer patients.

Lymphocyte-to-monocyte ratio associated with severe post-stenotic aortic dilation in a case-control study.

BACKGROUND: Calcific aortic valve stenosis (CAVS) represents a serious health threat to elderly patients. Post-stenotic aortic dilation, a common feature in CAVS patients, might progress into aneurysm and even dissection, potential consequences of CAVS, and predicts a poor prognosis. This study sought to investigate the association of lymphocyte-to-monocyte ratio (LMR), an inflammatory biomarker, with severe post-stenotic aortic dilation in a case-control study in Chinese population. MATERIALS AND METHODS: 208 consecutive patients with CAVS were recruited retrospectively in a case-control study in Chinese population, from July 1, 2015 to June 31, 2018. LMR was statistically analyzed using the ROC curve and binary logistic regression analyses for its prognostic value in severe post-stenotic aortic dilation. RESULTS: LMR was significantly reduced in patients with severe post-stenotic aortic dilation (2.72 vs. 3.53, p = 0.002 < 0.05) compared to patients without severe post-stenotic aortic dilation. There was an inverse correlation observed between the maximal diameter of ascending aorta and LMR in the overall patients (r = - 0.217, p = 0.002 < 0.05). For post-stenotic aortic dilation, the prevalence of high-LMR group was statistically lower than that of low-LMR group (19.7% vs. 43.9%, p < 0.001). The maximal diameter of ascending aorta was significantly reduced in the high-LMR group (4.35 vs. 4.76, p = 0.003 < 0.05) compared to low-LMR group. Additionally, LMR was identified in the multivariate analysis independently associated with severe post-stenotic aortic dilation (AUC 0.743, 95% CI: [0.573-0.964], p = 0.025). CONCLUSIONS: This study provided the evidence of an inverse correlation between severe post-stenotic aortic dilation and LMR. LMR is potentially independently associated with severe post-stenotic aortic dilation.

The prognostic value of admission lymphocyte-to-monocyte ratio in critically ill patients with acute myocardial infarction.

BACKGROUND: Inflammation plays a critical role in acute myocardial infarction (AMI). Recent studies have shown the value of hematologic indicators in MI risk stratification and prognostic assessment. However, the association between lymphocyte-to-monocyte ratio (LMR) and the long-term mortality of critically ill MI patients remains unclear. METHODS: Clinical data were extracted from the Medical Information Mart for Intensive Care III database. Patients diagnosed with AMI on admission in the intensive care units were include. The optimal cutoff value of LMR was determined by X-tile software. The Cox proportional hazard model was applied for the identification of independent prognostic factors of 1-year mortality and survival curves were estimated using the Kaplan-Meier method. In order to reduce selection bias, a 1:1 propensity score matching (PSM) method was performed. RESULTS: A total of 1517 AMI patients were included in this study. The cutoff value for 1-year mortality of LMR determined by X-Tile software was 3.00. A total of 534 pairs of patients were matched after PSM. Multivariate analysis (HR = 1.369, 95%CI 1.110-1.687, P = 0.003) and PSM subgroups (HR = 1.299, 95%CI 1.032-1.634, P = 0.026) showed that 1-year mortality was significantly higher in patients with LMR < 3.00 than patients with LMR ≥ 3.00 in Cox proportional hazard models. The survival curves showed that patients with LMR < 3.00 had a significantly lower 1-year survival rate before (63.83 vs. 81.03%, Log rank P < 0.001) and after PSM (68.13 vs. 74.22%, Log rank P = 0.041). CONCLUSION: In this retrospective cohort analysis, we demonstrated that a low admission LMR (< 3.00) was associated with a higher risk of 1-year mortality in critically ill patients with AMI.

The association of vitamin D deficiency with hemogram-derived inflammatory biomarkers in children.

BACKGROUND AND AIMS: One of the extraosseous effects of vitamin D is that it is a potent modulator of inflammatory processes. Many studies have demonstrated the inverse association between vitamin D and inflammation. Therefore, we hypothesize that vitamin D deficiency may affect the inflammatory markers derived from hemogram parameters [neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), platelet distribution width (PDW), red blood cell distribution width (RDW)] in healthy children. METHODS AND RESULTS: We conducted a retrospective study on healthy children. From 2015 to 2020, 16,321 children with simultaneous vitamin D and hemogram measurements were identified from electronic records. Participants were divided into 2 groups according to whether they had vitamin D deficiency or not. The relationship between vitamin D status and the levels of inflammatory markers was analyzed. All inflammatory markers showed statistically significant differences between vitamin D status (p < 0.001 for all). Vitamin D levels were significantly negatively correlated with NLR (r = -0.285), PLR (r = -0.257), PDW (r = -0.181), and positively correlated with LMR (r = 0.218), and RDW (r = 0.057). In logistic regression analysis, age (OR = 1.15, 95% CI: 1.14-1.16), gender (OR = 1.66, 95% CI: 1.54-1.78), LMR (OR = 0.96, 95% CI: 0.95-0.98), PLR (OR = 1.003, 95% CI: 1.001-1.004), and RDW (OR = 1.10, 95%CI: 1.07-1.13) were found to be independent predictors for vitamin D deficiency. CONCLUSIONS: Statistically significant differences were detected between vitamin D status and inflammatory parameters. However, the difference between the median values of vitamin D groups was very small and the degree of correlation was very weak. Therefore, the clinical significance of the difference should be questioned.

Predictive value of lymphocyte-to-monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis.

BACKGROUND: Inflammation plays a key role in the initiation and progression of atrial fibrillation (AF). Lymphocyte-to-monocyte ratio (LMR) has been proved to be a reliable predictor of many inflammation-associated diseases, but little data are available on the relationship between LMR and AF. We aimed to evaluate the predictive value of LMR in predicting all-cause mortality among AF patients. METHODS: Data of patients diagnosed with AF were retrieved from the Medical Information Mart for Intensive Care-III (MIMIC-III) database. X-tile analysis was used to calculate the optimal cutoff value for LMR. The Cox regression model was used to assess the association of LMR and 28-day, 90-day, and 1-year mortality. Additionally, a propensity score matching (PSM) method was performed to minimize the impact of potential confounders. RESULTS: A total of 3567 patients hospitalized with AF were enrolled in this study. The X-tile software indicated that the optimal cutoff value of LMR was 2.67. A total of 1127 pairs were generated, and all the covariates were well balanced after PSM. The Cox proportional-hazards model showed that patients with the low LMR (≤2.67) had a higher 1-year all-cause mortality than those with the high LMR (>2.67) in the study cohort before PSM (HR = 1.640, 95% CI: 1.437-1.872, p < 0.001) and after PSM (HR = 1.279, 95% CI: 1.094-1.495, p = 0.002). The multivariable Cox regression analysis for 28-day and 90-day mortality yielded similar results. CONCLUSIONS: The lower LMR (≤2.67) was associated with a higher risk of 28-day, 90-day, and 1-year all-cause mortality, which might serve as an independent predictor in AF patients.

Predictive Value of Blood Markers in Pediatric Brain Tumors Using Machine Learning.

BACKGROUND: The brain tumor is the most common solid tumor in children. Blood markers in most malignancies are altered due to the effect of inflammatory mediators on the bone marrow. OBJECTIVE: This study aimed to predict the malignancy of pediatric brain tumors using blood markers. METHODS: The pediatric brain tumors were divided into benign and malignant groups. Blood markers, including RBC, WBC, neutrophil, lymphocyte, monocyte, platelet, neutrophil to lymphocyte ratio, lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio, and derived neutrophil to lymphocyte ratio were extracted. Differences in blood markers between two groups were assessed using statistical analysis. The accuracy of machine learning to determine pediatric brain tumors' malignancy was evaluated using blood markers and demographic information. RESULTS: Among 113 patients, 55 patients were in the benign tumor group, and 58 patients were in the malignant tumor group. In the statistical study of blood markers in two groups, LMR was significantly different and positively correlated with malignancy. Other blood markers were not significantly different between two groups. This study showed that support-vector machines using blood markers, age, and sex can differentiate benign and malignant pediatric brain tumors with 71.6% accuracy. CONCLUSIONS: Despite the statistically significant differences in blood markers in different grades of brain tumors in adults, their differences in pediatric brain tumors, except LMR, were not significant. Machine learning using blood markers can differentiate between benign and malignant pediatric brain tumors with 71.6% accuracy.