Association of haematological biomarkers with severity of COVID-19 pneumonia

Background:

Coronavirus disease 2019 (COVID-19) was first reported in Wuhan, China in December 2019. It is caused by SARS-CoV-2, a beta coronavirus. In this study, we assessed the association of biomarkers such as neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte monocyte ratio (LMR) with the severity of COVID-19 in patients.

Methods:

This retrospective observational study was carried out at a tertiary care hospital of the sub-Himalayan region of Uttarakhand over a period of six months from May to October 2020. A total of 350 patients with confirmed RT-PCR COVID-19 infection were included in the study. Detailed clinical, demographic and biochemical data of each patient was obtained from the hospital record section after permission from the Institute Ethical Committee. NLR, PLR and LMR ratios were calculated and compared with the outcomes in each patient. The patients were subdivided into two sub-groups: those with saturation less than 94% and those with saturation more than 94%. The patients were categorised as mild (with SpO₂ of > 94%) and moderate-severe (with SpO₂ of ≤94%) based on oxygen saturation.

Results:

A total of 350 patients with Covid-19 pneumonia were enrolled in the study. The mean age of the patients with oxygen saturation of ≤94% was 54.91 ± 13.29 years, which was comparable to the other group. Absolute neutrophil count (ANC) and NLR were significantly higher in patients with a saturation of < 94%. However, LMR and PLR were significantly lower in the group with saturation of <94%. Thus, a significant association was found between haematological inflammatory ratios and the severity of COVID-19 infection.

Conclusion:

NLR, LMR and PLR ratios can be utilised as point of care markers to assess severity in patients with COVID-19 pneumonia.

Biomarkers of Systemic Inflammation in Patients with Glioblastoma: An Analysis of Correlation with Tumour-Related Factors and Survival

Background

Biomarkers of systemic inflammation (BMSIs), including haemogram cell counts (CC, e.g., absolute neutrophil count) and cell count-ratios (CCR, e.g., the neutrophil-lymphocyte ratio, etc.), have been found to have prognostic significance in many solid-organ cancers.

Aims

In this three-part study, we first examined if the CCs and CCRs were altered in patients with glioblastoma (GBM) when compared with healthy controls. Second, we evaluated for any correlation between the BMSIs and patient- and tumour-related factors. Third, we evaluated the influence of the CCs and CCRs on survival.

Methods

This was a retrospective analysis of patients who underwent surgery/biopsy for a newly diagnosed brain tumour that was subsequently confirmed to be GBM (Cases). Controls were healthy individuals who underwent pre-employment screening blood tests.

Statistical Methods

Parametric tests were used to compare normally distributed continuous variables, whereas non-normally distributed variables were compared using non-parametric tests. Thresholds for the BMSIs were determined using X-tile analysis. Cox regression using the proportional hazards model was used for survival analyses around the determined thresholds.

Results

All CCs and CCRs were altered in Cases compared with Controls. Presentation with raised intracranial pressure, altered sensorium, poor performance status, loss of ATRX, and lack of p53 overexpression was associated with an inflammatory phenotype of changes in the BMSIs. The inflammatory phenotype of changes was associated with poor survival.

Conclusions

A significant inflammatory response was found in patients with GBM and correlated with clinical features, the molecular profile of the tumour and poor survival.

Association of Lymphocyte to Monocyte Ratio and Risk of in-Hospital Mortality in Patients with Cardiogenic Shock: A Propensity Score Matching Study

Background

Lymphocyte to monocyte ratio (LMR) has been long implicated in the prediction of many inflammatory-related diseases. However, the possible value as prognostic marker of LMR have not been evaluated in cardiogenic shock (CS) patients. The aim of the study was to assess the relationship between LMR on admission and in-hospital mortality in CS patients.

Methods

Data on patients diagnosed with CS were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. We performed a single-institution, retrospective study of 1487 CS patients and determined the optimal cut-off for LMR by X-tile software. Propensity score matching (PSM) and inverse probabilities of treatment weighting (IPTW) were conducted to control confounders. Cox proportional hazards model was performed to evaluate the relationship between LMR and in-hospital mortality. Kaplan-Meier curves and receiver operating characteristics (ROC) analysis were applied to assess the prognostic value of LMR.

Results

The optimal cut-off value for LMR was 0.9. Cox proportional hazards model demonstrated that lower LMR (< 0.9) was independently associated with in-hospital mortality with hazard ratio (HR) of 1.40 (1.12-1.74, P = 0.003). The results were consistent with survival analyses (P < 0.001, Log rank test). Adding LMR< 0.9 to the sequential organ failure assessment (SOFA) score improved discrimination and risk stratification for in-hospital mortality.

Conclusion

Lower level of LMR is related to higher risk of in-hospital mortality of patients with CS. As an easily available biomarker, LMR can independently predict the in-hospital mortality in CS patients.

Prognostic role of hematologic parameters of metastatic renal cell carcinoma treated with sunitinib

BACKGROUND

Hemochrome parameters at the diagnosis of metastatic renal cell carcinoma (mRCC) and the development of macrocytosis during sunitinib therapy are considered prognostic.

OBJECTIVE

To evaluate the prognostic role of hematologic parameters and macrocytosis in mRCC treated with sunitinib.

METHODS

We analyzed clinical data of 100 patients with mRCC treated with sunitinib as first-line therapy in a retrospective multicenter study. We calculated neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) at baseline and erythrocyte mean corpuscular volume (MCV) during therapy. We considered the following cutoffs: NLR >3, PLR >150, LMR <3, and MCV >100 fl. Clinical data histology, prior nephrectomy, Fuhrman grading, metastatic sites, Memorial Sloan-Kettering Cancer Center score, and Heng score were collected. Overall survival (OS) and progression-free survival (PFS) were calculated. Univariate and multivariate analysis using Cox regression model with time-dependent (macrocytosis) covariate were applied.

RESULTS

At the univariate analysis, low LMR was associated with shorter PFS and OS (p = 0.02 and p = 0.06, respectively). High PLR was associated with worse PFS (p = 0.005); median OS was 23 vs 28 months (p = 0.13). At the multivariate analysis, poor risk (Heng score), low LMR, and high PLR were associated with shorter PFS (hazard ratio 7.1, 1.5, and 2, respectively); poor PS and poor risk (Heng score) were related to worst OS. Macrocytosis was observed in 26 patients and was not prognostic of survival.

CONCLUSIONS

In our cohort of patients with mRCC treated with sunitinib, low LMR (>3) and high PLR (>150) were associated with shorter PFS. Macrocytosis was not prognostic.

Can Hematological Ratios Predict Outcome of COVID-19 Patients? A Multicentric Study

Introduction

Coronaviruses belong to a large family that leads to respiratory infection of various severity. Hematological ratios are indicators of inflammatory response widely used in viral pneumonia with affordability in developing countries.

Purpose

Study the role of the neutrophil lymphocyte ratio (NLR), derived NLR ratio (d-NLR), platelet lymphocyte ratio (PLR), and lymphocyte monocyte ratio (LMR) in predicting the outcome of COVID-19 Egyptian patients.

Methods

A retrospective study on 496 COVID-19 Egyptian patients, managed in four tertiary centers, grouped into non-severe, severe, and critical. Patients’ laboratory assessment including total leucocyte count (TLC), absolute neutrophil count (ANC), absolute lymphocyte count (ALC), absolute monocyte count (AMC), NLR, d-NLR, LMR and, PLR were reported as well as C reactive protein (CRP), D-dimer and serum ferritin.

Results

TLC, ANC, AMC, NLR, d-NLR and, PLR were highest in the critical group (p<0.001 for all except AMC p=0.033), while this group had the least ALC and LMR (p=0.049 and <0.001, respectively). Higher CRP and d-dimer levels were reported in the critical group (p<0.001). At the same time, higher ferritin was found in the severe group more than the critical and non-severe groups (p<0.001, p=0.005, respectively). We calculated the optimal cut-off values of the hematological ratio; NLR (3.5), d-NLR (2.86), PLR (192), and LMR (3). D-NLR had the highest specificity (89.19%), while NLR had the highest sensitivity (71.38%). By univariate logistic regression, age, DM, HTN, cardiovascular diseases, COPD, NLR, d-NLR, LMR and PLR, CRP, steroid, oxygen aids, and mechanical ventilation were associated with the severity of COVID-19. Still, only age, NLR, CRP, and oxygen aid were independent predictors in multivariate logistic regression.

Conclusion

NLR is a predictor for severity in COVID-19. LMR, d-NLR, and PLR may assist in risk stratification.

Evaluation of the prognostic role of NLR, LMR, PLR, and LCR ratio in COVID-19 patients

We aimed to find the most useful biomarker by examining the prognostic effect of neutrophil‐lymphocyte ratio (NLR), lymphocyte‐monocyte ratio (LMR), platelet‐lymphocyte ratio (PLR), and lymphocyte‐C reactive protein ratio (LCR) in patients with coronavirus disease 2019 (COVID‐19). Three hundred and four patients diagnosed with COVID‐19 infection in our hospital within 5 months (April–August 2020) were examined. Laboratory values and demographic findings of the patients were analyzed retrospectively. Thirty‐six patients were diagnosed with severe cases. The ratio of NLR, LMR, PLR, and LCR of patients with severe and those with nonsevere clinical symptoms were statistically analyzed. The NLR and PLR ratios of those with severe clinical symptoms were significantly higher (p < 0.001), the LCR rate was significantly lower (p < 0.001), and there was no significant difference in the LMR rate (p = 0.199). When we examined other peripheral blood parameters, we found that CRP was high, lymphocyte and monocyte were low (p < 0.001), but neutrophil (p = 0.416) and platelet (p = 0.998) were not statistically different between the groups. According to the results, routine blood values are abnormal in patients with COVID‐19. NLR, PLR, and LCR ratios can be used as more significant biomarkers than other values in predicting the prognosis of patients.

— Coronavirus disease 2019 (COVID‐19) is a respiratory illness caused by the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), a novel coronavirus.

— It is important to anticipate which patients may be more fatal.

— Circulating biomarkers that show inflammation can be good indicators for prognosis of COVID‐19 patients.

— COVID‐19 causes changes in peripheral blood parameters.

— NLR, PLR, and LCR values were significantly higher in severe COVID 19 positive patients, supporting the fact that it can be a prognostic biomarker.

Understanding LSTM Network Behaviour of IMU-Based Locomotion Mode Recognition for Applications in Prostheses and Wearables

Human Locomotion Mode Recognition (LMR) has the potential to be used as a control mechanism for lower-limb active prostheses. Active prostheses can assist and restore a more natural gait for amputees, but as a medical device it must minimize user risks, such as falls and trips. As such, any control system must have high accuracy and robustness, with a detailed understanding of its internal operation. Long Short-Term Memory (LSTM) machine-learning networks can perform LMR with high accuracy levels. However, the internal behavior during classification is unknown, and they struggle to generalize when presented with novel users. The target problem addressed in this paper is understanding the LSTM classification behavior for LMR. A dataset of six locomotive activities (walking, stopped, stairs and ramps) from 22 non-amputee subjects is collected, capturing both steady-state and transitions between activities in natural environments. Non-amputees are used as a substitute for amputees to provide a larger dataset. The dataset is used to analyze the internal behavior of a reduced complexity LSTM network. This analysis identifies that the model primarily classifies activity type based on data around early stance. Evaluation of generalization for unseen subjects reveals low sensitivity to hyper-parameters and over-fitting to individuals’ gait traits. Investigating the differences between individual subjects showed that gait variations between users primarily occur in early stance, potentially explaining the poor generalization. Adjustment of hyper-parameters alone could not solve this, demonstrating the need for individual personalization of models. The main achievements of the paper are (i) the better understanding of LSTM for LMR, (ii) demonstration of its low sensitivity to learning hyper-parameters when evaluating novel user generalization, and (iii) demonstration of the need for personalization of ML models to achieve acceptable accuracy.

Predictive values of the postoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio for the diagnosis of early periprosthetic joint infections: a preliminary study

Background

Several studies have been conducted to report diagnostic values of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in the many diseases, such as oncological, inflammatory, and some infectious diseases. However, the predictive value of these laboratory parameters for early periprosthetic joint infections (PJIs) has not yet been reported. The aim of this study was to determine predictive values of the postoperative NLR, PLR, and LMR for the diagnosis of PJIs.

Methods

In this retrospective study, 104 patients (26 early PJI cases and 78 non-PJI cases) who underwent total joint arthroplasty were enrolled in this study. All the patients were then categorized into two groups: PJI group, patients with the diagnosis of PJI (26 patients; 14 males, 12 females; mean age = 65.47 ± 10.23 age range = 51–81 ) and non-PJI group, patients without PJI (78 patients; 40 males, 38 females; mean age = 62.15 ± 9.33, age range = 41–92). We defined “suspected time” as the time that any abnormal symptoms or signs occurred, including fever, local swelling, or redness around the surgical site between 2 and 4 weeks after surgery and before the diagnosis. Suspected time and laboratory parameters, including NLR, PLR, LMR, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP), were compared between both groups. The trends of postoperative NLR, LMR, PLR, CRP, and ESR were also reviewed. The predictive ability of these parameters at the suspected time for early PJI was evaluated by multivariate analysis and receiver operating characteristic (ROC) curve analysis.

Results

NLR, PLR, and LMR returned to preoperative levels within 2 weeks after surgery in the two groups. In the PJI group, NLR and PLR were significantly increased during the incubation period of infection or infection, and LMR was significantly reduced, although 61.5% (16/26) of the patients had normal white blood cells. Interestingly, ESR and CRP were still relatively high 2 weeks after surgery and were not different between the two groups before infection started (p = 0.12 and 0.4, respectively). NLR and PLR were significantly correlated with early PJI (Odds ratios for NLR and PLR = 88.36 and 1.12, respectively; p values for NLR and PLR = 0.005 and 0.01, respectively). NLR had great predictive ability for the diagnosis of early PJI, with a cut-off value of 2.77 (sensitivity = 84.6%, specificity = 89.7%, 95% CI = 0.86–0.97).

Conclusions

ESR and CRP seem not to be sensitive for the diagnosis of early PJI due to their persistently high levels after arthroplasty. The postoperative NLR at the suspected time may have a great ability to predict early PJI.

Cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy in patients with peritoneal carcinomatosis from colorectal cancer: The prognostic impact of baseline neutrophil-lymphocyte, platelet-lymphocyte and lymphocyte-monocyte ratios

PURPOSE

In this retrospective analysis we sought to determine if the preoperative neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) were predictive of both operability and survival in those patients presenting with peritoneal carcinomatosis (PC) from colorectal cancer (CRC) who underwent cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC).

METHODS

Analysis included all patients admitted between 2009 and 2017 with PC from CRC who were treated with curative intent by CRS-Mitomycin C-HIPEC. Patients were assessed pre- and intra-operatively by the PC index (PCI) and by a completeness of cytoreduction (CC) score with calculation of Kaplan-Meier survival curves and multivariate analysis of prognostic factors. Discrimination was made for NLR >3.5, PLR >168.8 and LMR >4.4.

RESULTS

We identified 98 CRC patients undergoing 105 CRS-HIPEC procedures. There were no associations detected between NLR/PLR/LMR and the rates of incomplete or abandoned CRS cases. Overall survival (OS) after CRS-HIPEC was worse with high versus low NLR (19.9 mths vs. 45.7 mths, respectively; P = 0.009) and also with low versus high LMR (27.1 mths vs. 53.2 mths, respectively; P = 0.01). On multivariate analysis, a low LMR (P = 0.008), the preoperative CT PCI value (P = 0.004), poor tumor differentiation (P = 0.023) and the preoperative CEA level (P < 0.001) were all independent variables associated with a worse OS after surgery.

CONCLUSIONS

The baseline LMR value may have potential value as a selection tool for CRS-HIPEC in patients with CRC-related PC.

The Relationship between Hematological Markers of Systemic Inflammation (Neutrophil-To-Lymphocyte, Platelet-To-Lymphocyte, Lymphocyte-To-Monocyte Ratios) and Ultrasound Disease Activity Parameters in Patients with Rheumatoid Arthritis

Background: An accurate measurement of disease activity is essential for the appropriate management of a patient with rheumatoid arthritis (RA). Hematological markers of systemic inflammation (Neutrophil-to-Lymphocyte (NLR), Platelet-to-Lymphocyte (PLR) and Lymphocyte-to-Monocyte (LMR) ratios) are reported to be novel, sensitive measures of inflammatory response, in addition to conventional markers (erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Disease Activity Score (DAS28)). The goal of the study was to assess the relationship of NLR, PLR, and LMR with ultrasonography (US) parameters of disease activity in RA patients. Methods: The study group consisted of 126 consecutive RA patients (100 women, 26 men). The following assessments were performed: joint counts, DAS28, complete blood cell counts, ESR, CRP, and US of 24 small joints. Results: NLR and PLR were significantly positively correlated with all US parameters of disease activity (Grey Scale US, Power Doppler US, and Global scores). The mean values of NLR and PLR were significantly higher in patients with poor prognostic factors: moderate/high vs. low disease activity (NLR: p < 0.001; PLR: p = 0.007), anti-CCP positive vs. anti-CCP negative (NLR: p = 0.01; PLR: p = 0.006). In multiple regression tests, significant correlations were confirmed for: NLR and DAS28 (p = 0.04), and CRP (p = 0.001); PLR and Power Doppler US (p = 0.04), and ESR (p = 0.02). No correlation was found for LMR. Conclusion: NLR and PLR are associated with US disease activity parameters and may serve as reliable, inexpensive markers, with prognostic significance in RA.

Blood Cell Count Derived Inflammation Indexes in Patients with Idiopathic Pulmonary Fibrosis

Purpose

Inflammation and immunity play a pivotal but yet unclear role in idiopathic pulmonary fibrosis (IPF), a chronic disorder characterized by progressive damage of lung parenchyma and severe loss of lung function despite optimal treatment. However, the pathophysiological and predictive role of combined blood cell count indexes of inflammation in IPF is uncertain.

Methods

Seventy-three patients with IPF and 62 healthy subjects matched for age, gender and smoking status were included in this cross-sectional study.

Results

We found significant differences in neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), systemic inflammation response index (SIRI) and aggregate index of systemic inflammation (AISI) between IPF patients and healthy controls. In logistic regression, all combined blood inflammation indexes, barring PLR, were independently associated with the presence of IPF after adjusting for age, gender, body mass index and smoking status. Furthermore, significant associations between FVC% and NLR, LMR, SIRI and AISI, and between DLCO% and NLR, dNLR, LMR, SIRI and AISI, were observed.

Conclusions

In conclusion, our data indicate significant alterations of combined blood cell count indexes of inflammation in IPF.

Neutrophil and lymphocyte blood count as potential predictive indicators of nivolumab efficacy in metastatic non-small-cell lung cancer

Aim: We retrospectively evaluated the role of neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) as prognostic factors in metastatic non-small-cell lung cancer patients treated with nivolumab. Materials & methods: Medical records of 65 patients were reviewed. NLR and LMR were calculated at baseline (t0) and at first radiological tumor assessment (t1). Results: At univariate analysis, low NLR or high LMR values at t0 were associated with longer overall survival (p = 0.0001). At multivariate analysis including NLR and LMR at t0 and t1 and their trend, only NLR at t1 (p < 0.0001) and NLR trend (p < 0.0001) were significantly associated with overall survival outcomes. Conclusion: Our study suggests that NLR value at first tumor assessment or NLR trend could be used as prognostic indicators during nivolumab treatment in metastatic non-small-cell lung cancer.

Prognostic value of systemic inflammatory factors NLR, LMR, PLR and LDH in penile cancer

Background

Penile squamous cell carcinoma (PSCC) represents an important public health problem for developing countries. The major prognostic factors in PSCC are pathological subtype, perineural invasion, lymphovascular invasion, depth of invasion and grade, which are hard to obtain precisely before the operation. Besides, micro-metastases will be detected in about 30% of intermediate-risk patients with clinically non-palpable inguinal lymph nodes after inguinal lymph node dissection (ILND). It means approximately 70% of patients are unable to benefit from ILND who might suffered from the complications of surgery. We hope some biomarkers could be found which are able to predict the outcome before surgery and reflect the inguinal lymph nodes metastasis.

Methods

A total of 349 consecutive patients of penile cancer in Yunnan cancer hospital in China between October 2002 and December2017. Two hundred twenty-five was succeed to follow-up. The association between NLR, LMR, PLR, LDH and Overall survival (OS), progression free survival (PFS), inguinal lymph node (N stage) was analyzed with K-M analysis, univariable, multivariable logistic regression and Kendall’s tau-b correlation coefficient.

Results

Multivariable analysis reveal that only PLR was significant independent factor which is associated with inferior OS and PFS; Age and LDH was associated with inferior OS; Lymph node and metastatic status remained significant for OS and PFS as NCCN and EAU Guidelines indicated; the tumor type, initial treatment and NLR LMR were not significant in predicting both OS and PFS. NLR, LMR and PLR were corresponded to N stage, while LDH was not associated with the N stage based on logistic regression model analysis. NLR, LMR and PLR were found weakly related to N stage through an application of Kendall’s tau-b correlation coefficient.

Conclusions

PLR was significant independent factors for OS and PFS, Age and LDH was significant independent factors for OS. NLR, LMR, PLR was corresponded to N stage.

A Simple Model Established by Blood Markers Predicting Overall Survival After Radical Resection of Pancreatic Ductal Adenocarcinoma

Background: The prognostic prediction after radical resection of pancreatic ductal adenocarcinoma (PDAC) has not been well-established. We aimed to establish a prognostic model for PDAC based on a new score system, which included a clinical routine serum marker.

Methods: A total of 438 patients who underwent curative PDAC at the First Affiliated Hospital of Anhui Medical University from January 2007 to January 2014 were included in this study. Univariate and multivariate analyses were used to screen for prognostic risk factors. We constructed the nomogram based on Cox proportional hazard regression models. The construction of the new score models was analyzed by the receiver operator characteristic curve (ROC curve), which were compared with other clinical indexes.

Results: Multivariate analysis showed that TNM stage, CA199, CEA, globulin, neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR) were independent prognostic factors. The new score system had a higher AUC value than other risk factors, and the C-index of the nomogram was highly consistent for evaluating survival of PDAC patients in the validation groups and training group, and the external population also verified the nomogram.

Conclusions: For the patients with PDAC after radical surgery, we developed a precise model to predict the prognosis based on the serum markers and other clinical indicators. For surgeons and patients, this score system can be an effective help.

Prognostic Significance of the Preoperative Lymphocyte to Monocyte Ratio in Patients with Gallbladder Carcinoma

Background

This study was designed to investigate the prognostic value of the lymphocyte to monocyte ratio (LMR) in patients with gallbladder carcinoma (GBC).

Patients and Methods

We retrospectively enrolled 154 consecutive GBC patients from 2005 to 2017 in this study. The LMR of preoperative blood samples was calculated by dividing the lymphocyte count by the monocyte count. A receiver operating characteristic (ROC) curve was employed to identify the optimal cut-off value of the LMR in the determination of overall survival (OS). The Kaplan–Meier method was utilized to assess OS, and the Log rank test was employed to compare survival differences. Univariate and multivariate Cox regression analyses were conducted to detect independent prognostic indicators.

Results

The optimal cut-off point for the LMR was 4.76 according to the ROC curve. Patients ≤60 years old with an LMR ≤4.76 experienced significantly worse OS than those with an LMR >4.76 (hazard ratio (HR): 0.399, 95% confidence interval (CI): 0.265–0.602, P<0.001); however, the prognostic value of the LMR was not determined in patients >60 years old or among the entire study cohort (both P>0.05). Significantly poorer OS was observed in patients >60 years with an LMR ≤4.21 compared to those with an LMR >4.21 (HR: 1.830, 95% CI: 1.129–2.967, P=0.014). Multivariate Cox regression analysis indicated that both the high and low LMR cut-off values were independent risk factors for OS (HR: 0.272, 95% CI: 0.105–0.704, P=0.007; HR: 0.544, 95% CI: 0.330–0.895, P=0.017).

Conclusion

The LMR is an independent prognostic indicator for GBC patients, the cut-off value of which is age dependent.

Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients

Background

The aim of this study was to evaluate a series of blood count inflammation indexes in predicting anastomotic leakage (AL) in elective colorectal surgery.

Methods

Demographic, pathologic, and clinical data of 1432 consecutive patients submitted to colorectal surgery in eight surgical centers were retrospectively evaluated. The neutrophil to lymphocyte (NLR), derived neutrophil to lymphocyte (dNLR), lymphocyte to monocyte (LMR), and platelet to lymphocyte (PLR) ratios were calculated before surgery and on the 1st and 4th postoperative days, in patients with or without AL.

Results

There were 106 patients with AL (65 males, mean age 67.4 years). The NLR, dNLR, and PLR were significantly higher in patients with AL in comparison to those without, on both the 1st and 4th postoperative days, but significance was greater on the 4th postoperative day. An NLR cutoff value of 7.1 on this day showed the best area under the curve (AUC 0.744; 95% CI 0.719–0.768) in predicting AL.

Conclusions

Among the blood cell indexes of inflammation evaluated, NLR on the 4th postoperative day showed the best ability to predict AL. NLR is a low cost, easy to perform, and widely available index, which might be potentially used in clinical practice as a predictor of AL in patients undergoing elective colorectal surgery.

The prognostic impact of neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) in patients with distal bile duct cancer

Background

A growing body of evidence suggests that inflammatory response markers such as the neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) are associated with outcomes of various malignancies. However, no study has reported the prognostic value of NLR and LMR in patients with distal bile duct cancer (DBDC) to date. We investigated the prognostic significance of these inflammatory markers in patients with DBDC who underwent radical resection.

Methods

The study included 40 patients diagnosed with DBDC who underwent pancreaticoduodenectomy at Narita Red Cross Hospital between January 2000 and December 2017. The cutoff values for these markers were determined by receiver operating characteristic curve analysis. Survival curves are estimated for each group in the study considered separately using the Kaplan-Meier method. The association between overall survival (OS) and the NLR, LMR, and other prognostic factors was investigated using log-rank test and multivariate Cox proportional hazards regression analysis.

Results

Corresponding to the point with the maximum combined sensitivity and specificity on the ROC curve, the best cutoff value for NLR and LMR was determined to be 3.14 and 4.55, respectively. Most clinicopathological factors were not associated with the NLR and LMR based on these cutoff values. However, serum albumin levels were associated with both the NLR and LMR (P = 0.011 and P = 0.023, respectively), and serum carbohydrate antigen 19-9 (CA 19-9) levels were also associated with the LMR (P = 0.030). Univariate analysis showed that a high NLR (P < 0.001), low LMR (P = 0.002), hypoalbuminemia (P = 0.004), high serum CA 19-9 levels (P = 0.008), and lymph node metastasis (P = 0.033) were significantly associated with poor survival rates. Multivariate analysis showed that a high NLR (hazard ratio 5.799, 95% confidence interval 1.188–28.32, P = 0.030) and a low LMR (hazard ratio 4.837, 95% confidence interval 1.826–2.331, P = 0.025) were independent prognostic factors for OS.

Conclusion

Both NLR and LMR may serve as significant independent preoperative prognostic indicators of disease in patients with DBDC who undergo radical resection.

Preoperative lymphocyte count in relation to sarcoma prognosis

PURPOSE

Inflammation plays a major role in tumour development, progression and metastasis. Multiple inflammatory markers such as absolute lymphocyte count, neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR) and platelet-lymphocyte ratio have been discovered as prognostic markers for various malignancies. We investigate preoperative lymphocyte count and other cell count ratios and their relation to survival and prognosis of sarcoma patients after surgery.

METHODS

A total of 142 patients from the Orthopaedics Oncology Database were included into this retrospective study. Kaplan-Meier curve and multivariate Cox proportional models were used to calculate the overall survival of patients with sarcoma who underwent radical excision surgery.

RESULTS

High preoperative LMR is significantly associated with better overall survival and prognosis in sarcoma patients, whereas high preoperative NLR is significantly associated with shorter overall survival and poorer prognosis. Multivariate analysis shows that LMR and NLR are good predictors for overall survival at 3 and 5 years after surgery, respectively. Patients with high preoperative lymphocytes count are associated with longer overall survival, but this association is not statistically significant. Our findings suggest that preoperative NLR and LMR are good predictive markers for survival of sarcoma patients.

CONCLUSION

LMR and NLR can be used to identify patients at risk for poor clinical outcome, so that a more aggressive course of treatment can be applied to improve outcome. These are cost-effective prognostic tools as they are calculated from routine preoperative peripheral blood counts. In conclusion, preoperative NLR and LMR are good prognostic markers for predicting the clinical outcome of patients with sarcoma.

A Comprehensive Review: Materials for the Fabrication of Optical Fiber Refractometers Based on Lossy Mode Resonance

Lossy mode resonance based sensors have been extensively studied in recent years. The versatility of the lossy mode resonance phenomenon has led to the development of sensors based on different configurations that make use of a wide range of materials. The coating material is one of the key elements in the performance of a refractometer. This review paper intends to provide a global view of the wide range of coating materials available for the development of lossy mode resonance based refractometers.

Lymphocyte-To-Monocyte Ratio as the Best Simple Predictor of Bacterial Infection in Patients with Liver Cirrhosis

Background and aim: The aim of this study was to assess the diagnostic performance of new morphology-related indices and Child–Turcotte–Pugh (CTP) and Model for End-Stage Liver Disease (MELD) scores during hospitalization in predicting the onset of bacterial infection in patients with liver cirrhosis. Material and methods: A total of 171 patients (56.9% males; median age 59 years; total number of hospitalizations 209) with liver cirrhosis were included in this observational study. The diagnosis of cirrhosis was made on the basis of clinical, biochemical, ultrasonic, histological, and endoscopic findings. The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), modified aspartate aminotransferase-to-platelet ratio index (APRI), aspartate aminotransferase-to-alanine aminotransferase ratio (AAR), Fibrosis-4 index (FIB-4), platelet-to-lymphocyte ratio (PLR), neutrophil-to-monocyte ratio (NMR), and CTP and MELD scores were calculated for the cases of patients with cirrhosis. Results: Bacterial infection was diagnosed in 60 of the 209 (28.7%) hospitalizations of patients with cirrhosis. The most common infections were urinary tract infection (UTI), followed by pneumonia and sepsis. The more severe the liver failure, the greater the bacterial infection prevalence and mortality. Patients with decompensated liver cirrhosis were infected more often than subjects with compensated cirrhosis (50.0% vs. 12.9%, p = 0.003). The calculated MELD score, CTP, NLR, LMR, AAR, monocyte count, and C-reactive protein (CRP) concentration were also related to the bacterial infection prevalence, and mortality areas under the curve (AUC) were 0.629, 0.687, 0.606, 0.715, 0.610, 0.648, and 0.685, respectively. The combined model with two variables (LMR and CTP) had the best AUC of 0.757. The most common bacteria isolated from patients with UTI were Escherichia coli, Enterococcus faecalis, and Klebsiella pneumonia. Gram-negative bacteria were also responsible for spontaneous bacterial peritonitis (SBP), and together with gram-positive streptococci and staphylococci, these microorganisms were isolated from blood cultures of patients with sepsis. Significant differences were found between CTP classification, MELD score, NLR, LMR, AAR, CRP, and PLR in patients with cirrhosis with, or without, bacterial infection. Conclusions: Bacterial infection prevalence is relatively high in patients with liver cirrhosis. Although all analyzed scores, including the LMR, NLR, aspartate aminotransferase (AST)/alanine aminotransferase (ALT), CRP, CTP, and MELD, allowed the prediction of bacterial occurrence, the LMR had the highest clinical utility, according to the area under the curve (AUC) and odds ratio (OR).

The Research Progress on the Prognostic Value of the Common Hematological Parameters in Peripheral Venous Blood in Breast Cancer

Breast carcinoma is one of the most malignant tumors, severely influencing the physical and mental health of people. The latest epidemiological and clinical studies have found that breast tumor and inflammation are determinate relationships with each other. Inflammation is an essential component of the tumor microenvironment, and the change of inflammatory cells might influence tumor progression, such as neoplastic cell proliferation, migration, invasion, the collapse of antitumor immunity, metastasis and so forth. Peripheral blood tests at the time of diagnosis and treatment can reflect inflammatory conditions within the neoplasm. Evaluation of peripheral blood parameters including white blood cell, neutrophil, lymphocyte, monocyte, platelet counts, as well as neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (d-NLR) (neutrophil count divided by the result of white blood cell count minus neutrophil count), platelet-to-lymphocyte ratio (PLR) and lymphocyte-to-monocyte ratio (LMR), which are indicators of systematic inflammatory response, have been widely proposed as prognostic factors for many malignancies. To intensively study the relationship between the common markers in peripheral blood and the treatment or prognosis of breast cancer will have critical clinical significance and application prospect, and can provide useful information for the clinicians. Herein, we review the research progress in the prognostic role of the peripheral blood in breast cancer to provide a new method for the treatment and prognosis of breast cancer.

Long-term outcomes and significance of preoperative lymphocyte-to-monocyte ratio as a prognostic indicator in patients with invasive pancreatic neoplasms after repeat pancreatectomy

Background

Invasive pancreatic neoplasms have a high propensity for recurrence even after curative resection. Recently, patients who underwent pancreatectomy have an opportunity of undergoing secondary pancreatic resection, so-called “repeat pancreatectomy” to achieve curative operation and prolong their survival. We evaluated the long-term clinical outcomes and identified the prognostic factors, including systemic inflammation markers and the lymphocyte-to-monocyte ratio (LMR) of patients who underwent repeat pancreatectomy for invasive pancreatic tumors.

Methods

Twenty-eight consecutive patients with invasive pancreatic neoplasms (22 pancreatic ductal adenocarcinomas, 2 pancreatic acinar cell carcinomas, and 4 invasive intra-papillary mucinous carcinomas) with isolated local recurrence only in the remnant pancreas were analyzed retrospectively. To identify factors for the selection of optimal patients who should undergo repeat pancreatectomy, perioperative clinical parameters were analyzed by Cox proportional regression models.

Results

Of 28 patients, 12 patients experienced recurrence within 3 years after repeat pancreatectomy. Kaplan–Meier analysis showed that the median cancer-specific overall survival time of patients with invasive pancreatic neoplasms was 61 months, showing favorable outcomes. High preoperative LMR (LMR ≥ 3.3) (p = 0.022), no portal vein resection (p = 0.021), no arterial resection (p = 0.037), and pathological lymph node negative (p = 0.0057) were identified as favorable prognostic parameters on univariate analysis, and LMR ≥ 3.3 (p = 0.0005), and pathological lymph node negative (p = 0.018) on multivariate analysis.

Conclusions

Preoperative LMR is potentially a good indicator for selecting suitable patients to undergo repeat pancreatectomy in patients with isolated local recurrence of invasive pancreatic neoplasms.

Lymphocyte-Monocyte Ratio Significantly Predicts Recurrence in Papillary Thyroid Cancer

BACKGROUND

A growing body of evidences shows that systemic inflammatory responses are involved in patient prognosis in multiple cancers. Combinations of peripheral leukocyte fractions have been shown to be useful markers for the inflammatory responses. However, significance of such systemic inflammatory responses is still unknown in thyroid cancer. Accordingly, we aimed to clarify clinical impact of peripheral leukocyte fractions in papillary thyroid cancer (PTC).

METHODS

Clinicopathological analyses were performed including preoperative leukocyte fractions in 570 patients with curatively resected PTC. Receiver operating characteristic curves were used to determine cutoffs of leukocyte fraction or inflammation indexes such as lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio. A Kaplan-Meier analysis and a Cox's proportional hazard model were used to conduct prognostic analysis. A multivariable logistic regression analysis was performed for correlation assay.

RESULTS

Preoperative low LMR predicted recurrence with high sensitivity (63.3%) and specificity (68.7%) (P = 0.002). The multivariable prognostic analyses revealed that preoperative low LMR (P = 0.025), pathological N1b (P = 0.019), high metastatic lymph node ratio (node density) (P = 0.014), and high thyroglobulin level (P = 0.002) independently predicted worse prognosis. The combination of these independent parameters clearly enriched high-risk patients (P < 0.001). Of note, low LMR was dramatically associated with recurrence especially in patients with advanced PTC.

CONCLUSIONS

Preoperative low LMR dramatically predicts high-risk patients for recurrences. The results in this study give rational to focusing on immune cell profiles to tackle advanced PTC.

Prognostic Value of Peripheral Inflammatory Markers in Preoperative Mucosal Melanoma: A Multicenter Retrospective Study

Background: Peripheral neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have been widely reported prognostic predictors for many cancers. However, data predicting prognosis on mucosal melanoma is currently limited. This study aimed to identify the value of these inflammatory markers in predicting prognosis in preoperative mucosal melanoma.

Methods: In this multicenter retrospective study, we assessed patients with preoperative mucosal melanoma for 7 years. Connection between baseline inflammatory markers (NLR, PLR, and LMR) and overall survival (OS) and progression-free survival (PFS) was analyzed by Kaplan–Meier curve with a log-rank test. Then, NLR, PLR, and LMR, along with characteristics of patients, were included in the univariate and multivariate Cox hazards regression model to examine the correlation with OS and PFS. The optimal cutoff value of these inflammatory markers was stratified by receiver operating characteristic (ROC) curve.

Results: Patients with baseline NLR > 3.07, PLR > 118.70, or LMR ≤ 7.38 had significantly poorer OS and PFS according to Kaplan–Meier curve with a log-rank test. Univariate analysis indicated that surgery, alkaline phosphatase (ALP), NLR, PLR, and LMR were statistically connected to both OS and PFS. In multivariate analysis, LMR (hazard ratio [HR] = 0.113; 95% CI: 0.017–0.772; P = 0.026) and surgery (HR = 0.166; 95% CI: 0.033–0.846; P = 0.031) maintained significant relevance with OS.

Conclusions: This research revealed that a higher NLR and PLR and a lower LMR than the cutoff point was associated with a worse prognosis of preoperative mucosal melanoma. Thus, we assumed that NLR, PLR, and especially LMR were potential prognostic predictors of preoperative mucosal melanoma.

Elevated NLR May Be a Feature of Pediatric Brain Cancer Patients

Pediatric brain tumors are the most common solid tumor type and the leading cause of cancer-related death in children. The immune system plays an important role in cancer pathogenesis and in the response to immunotherapy treatments. T lymphocytes are key elements for the response of the immune system to cancer cells and have been associated with prognosis of different cancers. Neutrophils on the other hand, which secrete pro-angiogenic and anti-apoptotic factors, enhance the ability of tumor cells to grow and develop into metastases. We conducted a retrospective study of 120 pediatric brain cancer patients and 171 elective pediatric patients hospitalized in Dana Children's Hospital and Sheba Medical Center. Data on age, sex, treatment, lymphocyte, neutrophil, and monocyte count were collected from routinely performed preoperative blood tests. Neutrophil-to-lymphocyte ratio (NLR), and the lymphocyte-to-monocyte ratio (LMR) were calculated and significance was determined by paired T test. p < 0.05 was considered as statistically significant. NLR was significantly higher in the pediatric brain cancer patients. The high NLR in pediatric brain cancer patients is the result of a combination of low lymphocytes and high neutrophils. Both of these factors can have a role in cancer development and propagation and also in response to therapy.