Prognostic value of preoperative glucose to lymphocyte ratio in patients with resected pancreatic cancer

Association between glucose-to-lymphocyte ratio and long-term mortality among women after coronary artery bypass grafting: filling gaps in female

BACKGROUND

Inflammation plays a pivotal role in the progression of coronary artery disease and increases the risk of mortality in patients undergoing coronary artery bypass grafting (CABG). The glucose-to-lymphocyte ratio (GLR), calculated from serum glucose levels and peripheral lymphocyte counts, is a novel marker of inflammation, but its relationship with outcomes after CABG remains unexplored. The aim of this study was to evaluate the association between GLR and long-term mortality.

METHODS

This retrospective cohort study used data from the Medical Information Mart for Intensive Care (MIMIC) database to examine baseline and outcome data for CABG patients. Participants were stratified into quartiles based on GLR levels, and the Cox proportional hazards model and restricted cubic spline analysis were used to evaluate the association between GLR and mortality.

RESULTS

A total of 592 adult patients (mean age 70.0 ± 10.3 years, mean BMI 30.6 ± 6.8 kg/m2) were included. After multivariable adjustment, patients in the highest quartile of GLR had a hazard ratio (HR) of 3.3 (95% CI: 1.04-10.49; Q4 vs. Q2), while those in the lowest quartile had a HR of 5.62 (95% CI: 1.71-18.48; Q1 vs. Q2). A U-shaped relationship was observed between GLR and risk of death (P for nonlinearity < 0.05), with sensitivity and subgroup analyses supporting these findings.

CONCLUSIONS

GLR was significantly associated with an increased risk of long-term mortality, with both the highest and lowest quartiles demonstrating elevated hazard ratios compared to the second quartile. Assessing GLR may have clinical relevance for predicting mortality risk, providing valuable insights for preventive strategies and patient management.

Development and validation of a nomogram for a prognostic model for resected pancreatic ductal adenocarcinoma

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant tumor. Surgical resection is the most promising therapeutic strategy for PDAC, and how to improve the survival rate remains a vital key point. This study aimed to establish and validate a nomogram for predicting the prognosis of resected PDAC.

METHODS

A total of 174 patients with PDAC who underwent surgical resection at Lanzhou University Second Hospital and the First Affiliated Hospital of Zhengzhou University from January 2012 to July 2022 were enrolled. The clinicopathological characteristics and survival data were analyzed by R software (version 4.1.3). Univariate and multivariate Cox regression analyses were used to analyze the effects of clinicopathological characteristics on overall survival (OS).

RESULTS

Multivariate Cox regression showed that carbohydrate antigen 19-9 (CA19-9) ≥ 476 U/mL, carbohydrate antigen 125 (CA125) ≥ 32 U/mL, fasting blood glucose (FBG) < 6.86 mmol/L, aspartate aminotransferase (AST) ≥ 107 U/L, positive surgical margin, and more than 4 cycles of postoperative chemotherapy were independent prognostic factors for OS. Patients were divided into the high-risk and low-risk groups based on the median risk score calculated by multivariate Cox regression analysis. Kaplan-Meier survival curves revealed that the 5-year survival rates of the high-risk and low-risk groups in the training cohort were 5.79% and 24.3%, respectively, and those in the validation cohort were 0 and 19.0%, respectively (P < 0.05). Receiver operating characteristic (ROC) curve analysis revealed that area under the ROC curve (AUC) of the risk score in the training set and the validation set were 0.855 and 0.838, respectively. The C-indexes of the nomogram in the training set and validation set were 0.788 (95% CI: 0.745-0.831) and 0.773 (95% CI: 0.718-0.828), respectively.

CONCLUSIONS

We developed a nomogram that predicts OS in patients with resected PDAC, and the validation results showed that the nomogram model had a strong predictive ability. Particularly, FBG < 6.86 mmol/L and more than 4 cycles of postoperative chemotherapy can predict better OS of PDAC after surgery.

Inflammatory Markers and Saphenous Vein Graft Stenosis: Insights into the Use of Glucose-to-Lymphocyte Ratio as a Prognostic Marker

Background: Coronary artery bypass grafting (CABG) for the treatment of ischemic heart disease is still considered an effective treatment option to improve clinical outcomes and reduce mortality. However, the patency rates of saphenous vein grafts (SVGs) are significantly lower compared to those of arterial grafts. Atherosclerosis has emerged as one of the main causes of SVG stenosis (SVGS), especially stenoses that develop after one year. In this study, we aimed to investigate the association of glucose-to-lymphocyte ratio (GLR), a novel inflammatory biomarker, with LVG patency status in patients undergoing CABG surgery. Methods: A total of 778 patients who were diagnosed with chronic coronary syndromes (CCS) according to the 2019 ESC guidelines for the diagnosis and treatment of CCS; had undergone CABG more than one year previously; and had at least one SVG used during surgery were included in this study. GLR was calculated as blood glucose level (mg/dL) divided by lymphocyte count (K/uL). Results: SVGS was detected in 341 patients, while SVGs were intact in 437 patients. Patients with SVGS had a higher prevalence of diabetes mellitus (DM) (p = 0.002) and significantly higher blood glucose levels (p < 0.001). In addition, the interval between CABG operation and coronary angiography (CAG) was longer in the SVGS group (p < 0.001). Neutrophil levels were higher, and lymphocyte levels were lower in this group (p = 0.010 and p = 0.034, respectively). Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), glucose/lymphocyte ratio (GLR) and high-sensitivity C-reactive protein (CRP) levels were significantly higher in patients with SVGS (p < 0.001 for all). According to multivariate logistic regression analysis, DM, CRP level, time since CABG, and GLR were identified as independent predictors of SVGS (p = 0.004, p = 0.048, p < 0.001, and p < 0.001, respectively). ROC analysis showed that SVGS could be predicted with 75.8% sensitivity and 68.6% specificity when the cut-off value for GLR was >315.5 (area under the curve [AUC]: 0.801, 95% CI: 0.765-0.837, p < 0.001). Conclusions: Higher GLR levels are associated with SVGS in patients with coronary artery disease.

Predictive Value of Complete Blood Count (CBC)-Derived Indices-C-Reactive-Protein-Albumin-Lymphocyte index (CALLY), Glucose-to-Lymphocyte Ratio (GLR), Prognostic Nutritional Index (PNI), Hemoglobin, Albumin, Lymphocyte, Platelet (HALP), and Controlling Nutritional Status (COUNT)-on Body Composition Changes After Bariatric Surgery

BACKGROUND/OBJECTIVE

Obesity is linked to increased risks of cardiovascular disease, diabetes, and certain cancers. Bariatric surgery (BS) aids in weight management, significantly altering body composition. This study evaluates the predictive value of five complete blood count (CBC)-derived indices [C-reactive-protein-albumin-lymphocyte (CALLY), glucose-to-lymphocyte ratio (GLR), prognostic nutritional index (PNI), hemoglobin, albumin, lymphocyte, platelet (HALP), and controlling nutritional status (COUNT)] on body composition changes post-BS.

METHOD

A retrospective study was conducted on 240 patients undergoing BS at Sina Hospital, Tehran, Iran. Indices were calculated using routine laboratory tests, and body composition changes were measured using bioelectrical impedance analysis at 3 and 6 months post-surgery.  RESULTS: Higher pre-surgical GLR values positively correlated with increased fat-free mass (FFM) (p = 0.005 1, p = 0.003 2), muscle mass (MM) (p = 0.011 1, p = 0.008 2), and total body water (TBW) (p = 0.005 1, p = 0.005 2) post-surgery. In contrast, higher PNI was negatively associated with changes in FM (p = 0.029 1, p = 0.015 2), FFM (p = 0.002 1, p = 0.018 2), TBW (p = 0.002 1, p = 0.015 2) and MM (p = 0.003 2), particularly after laparoscopic sleeve gastrectomy (LSG). Furthermore, there was a significant correlation between pre-surgical HALP score and changes in FFM (p = 0.002 1, p = 0.042 2), TBW (p = 0.002 1) and MM (p = 0.011 1, p = 0.041 2). In addition, the modified HALP score showed a more significant correlation compared to the HALP score to predict the changes FM (p = 0.002 1, p = 0.002 2), FFM (p = 0.001 1, p = 0.006 2), TBW (p = 0.001 1, p = 0.003 2) and MM (p = 0.001 1, p = 0.023 2) particularly, after 6 months.

CONCLUSION

Our findings suggest that pre-surgical assessment of GLR, PNI, and HALP indices may provide valuable insights into predicting changes in body composition after bariatric surgery. Specifically, these indices could serve as tools for tailoring preoperative nutritional strategies and post-surgical interventions. However, as this study is retrospective, further prospective research with longer follow-ups is required to validate these findings and evaluate their utility in clinical practice. 1 3 months after metabolic bariatric surgery. 2 6 months after metabolic bariatric surgery.

Association between glucose to lymphocyte ratio and prognosis in patients with solid tumors

Background

Glucose-to-lymphocyte ratio (GLR) plays an important role in the prognosis of various tumors. The aim of this study was to comprehensively evaluate the prognostic value of GLR in solid tumors through the meta-analysis.

Methods

A comprehensive search of eligible studies was performed by scrutinizing the Pubmed, Embase and Web of science databases until May 30, 2024. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to evaluate overall survival (OS), disease-free survival (DFS) and recurrence free survival (RFS).

Results

A total of 22 studies from 14 articles involving 9472 patients were included in the study. The pooled analysis showed that cancer patients with high GLR was significantly associated with unfavorable OS (HR:1.48,95% CI:1.34-1.63) and DFS/RFS (HR:2.20,95% CI:1.66-2.92). Subgroup analysis further showed that high GLR had better predictive value in liver cancer (HR:2.66, 95%CI:1.80-3.93), breast cancer (HR:2.13, 95%CI:1.10-4.13) and pancreatic cancer (HR:1.92, 95%CI:1.30-2.84).

Conclusions

GLR can be used as an effective prognostic marker in patients with solid tumors.

Machine learning predicts acute respiratory failure in pancreatitis patients: A retrospective study

PURPOSE

The purpose of the research is to design an algorithm to predict the occurrence of acute respiratory failure (ARF) in patients with acute pancreatitis (AP).

METHODS

We collected data on patients with AP in the Medical Information Mart for Intensive Care IV database. The enrolled observations were randomly divided into a 70 % training cohort and a 30 % validation cohort, and the observations in the training cohort were divided into ARF and non-ARF groups. Feature engineering was conducted using random forest (RF) and least absolute shrinkage and selection operator (LASSO) methods in the training cohort. The model building included logistic regression (LR), decision tree (DT), k-nearest neighbours (KNN), naive bayes (NB) and extreme gradient boosting (XGBoost). Parameters for model evaluation include receiver operating characteristic (ROC) curve, precision-recall curve (PRC), calibration curves, positive predictive value (PPV), negative predictive value (NPV), true positive rate (TPR), true negative rate (TNR), accuracy (ACC) and F1 score.

RESULTS

Among 4527 patients, 445 patients (9.8 %) experienced ARF. Ca, ALB, GLR, WBC, AG and BUN have been included in the prediction model as features for predicting ARF. The AUC of XGBoost were 0.86 (95 %CI 0.84-0.88) and 0.87 (95 %CI 0.84-0.90) in the training and validation cohorts. In the training cohort, XGBoost demonstrates a true positive rate (TPR) of 0.662, a true negative rate (TNR) of 0.884, a positive predictive value (PPV) of 0.380, a negative predictive value (NPV) of 0.960, an accuracy (ACC) of 0.862, and an F1 score of 0.483. In the validation cohort, XGBoost shows a TPR of 0.620, a TNR of 0.895, a PPV of 0.399, an NPV of 0.955, an ACC of 0.867, and an F1 score of 0.486.

CONCLUSION

The XGBOOST model demonstrates good discriminatory ability, which enables clinicians to ascertain the probability of developing ARF in AP patients.

A LASSO Cox Regression Predictive Model for Patients Undergoing Surgery for Pancreatic Body and Tail Adenocarcinoma Patients: Comparative Long-Term Survival Analysis of Radical Antegrade Modular Pancreatosplenectomy (RAMPS) and Standard Retrograde Pancreatosplenectomy (SPRS)

PURPOSE

This study was designed to assess the advantages of radical antegrade modular pancreatosplenectomy (RAMPS) over standard retrograde pancreatosplenectomy (SPRS) in terms of disease-free survival (DFS) by comparing clinical outcomes.

METHODS

Clinical data from 154 patients who underwent distal pancreatectomy at Tianjin Medical University Cancer Institute and Hospital between January 2015 and August 2018 were collected. We compared the preoperative conditions, postoperative complications, and survival outcomes of patients who underwent two different surgical procedures. By creating a LASSO-Cox model, we determined the parameters affecting DFS and the risk ratios of the two surgical procedures on DFS.

RESULTS

The R0 resection rate (85.23% vs. 68.18%, P = 0.003), negative posterior margin rate (96.59% vs. 75.76%, P < 0.001), and tumor bed recurrence rate (15.29% vs. 40.00%, P = 0.001) significantly differed between the RAMPS and SPRS groups. The 1-, 3-, and 5-year survival and DFS rates of the RAMPS group were significantly better than those of the SPRS group (P < 0.05). Disease-free survival analysis based on Kaplan-Meier curves revealed that RAMPS was superior to SPRS (P < 0.001).

CONCLUSIONS

We recommend RAMPS as the preferred procedure for treating ductal adenocarcinoma of the pancreatic body and tail due to its enhanced lymph node repair capacity and visualization of posterior pancreatic sections, which can increase DFS in patients.

GLR in Colorectal Cancers: An Easily Accessible Prognostic Marker

Background and Objectives

Colorectal cancer remains a significant health concern, necessitating reliable prognostic indicators for effective management. This study explores the preoperative prognostic significance of the Glucose/Lymphocyte Ratio (GLR) in colorectal cancers.

Methods

The study retrospectively analyzed records of patients who underwent surgery for elective colorectal cancers between January 1, 2013, and December 31, 2021, at the Koşuyolu Training and Research Hospital Gastroenterologic Surgery Department. Demographic, clinicopathological, and follow-up data were comprehensively assessed. A cutoff was established from GLR ratios and patients were divided into two groups for prognosis analysis.

Results

The study enrolled 222 eligible patients, examining variables such as age, sex, ASA score, neoadjuvant treatment, lymphovascular and perineural invasion, tumor grade, TNM stage, and GLR. The groups consisted of 128 patients with low GLR and 94 patients with high GLR. Statistical analyses revealed relations between GLR levels (p ≤ 0.001) and various prognostic factors such as age (p = 0.034), Perineural Invasion (PNI) (p = 0.002), tumor grade (p = 0.017), TNM stage (p = 0.003), and surgery time (p = 0.029), individuals with GLR ≥ 3.04 were observed to show higher mortality rates (p = 0.001). Above GLR cutoff point of 3.04 patients showed better overall survival rates. All survival related parameters were related with prognosis in univariant Cox regression tests. In multivariant cox regression tests GLR ≥ 3.04 significantly increased mortality by 2.9 times. (p = 0.003).

Conclusion

This study demonstrates that GLR, calculated from preoperative glucose and lymphocyte values serves as an independent prognostic factor in colorectal cancers. The findings suggest potential applications for GLR in survival analyses, with significant associations identified in age, PNI, tumor grade, TNM stage, and surgery time. Further investigations are warranted in homogeneous patient populations.

Glucose-to-Lymphocyte Ratio (GLR) as an Independent Prognostic Factor in Patients with Resected Pancreatic Ductal Adenocarcinoma-Cohort Study

Background: We retrospectively evaluated the usefulness of an elevated glucose-to-lymphocyte ratio (GLR) as a sensitive prognostic biomarker of disease-specific survival in 338 patients who underwent surgical resection of pancreatic ductal adenocarcinoma (PDAC). Methods: The optimal GLR cutoff value was determined using the method of Contal and O'Quigley. Patient demographics, clinical information, and imaging data were analyzed to identify preoperative predictors of long-term survival outcomes. Results: Elevated GLR correlated significantly with aggressive tumor biologic behaviors, such as a high carbohydrate antigen (CA) 19-9 level (p = 0.003) and large tumor size (p = 0.011). Multivariate analysis identified (1) GLR > 92.72 [hazard ratio (HR) = 2.475, p < 0.001], (2) CA 19-9 level > 145.35 (HR = 1.577, p = 0.068), and (3) symptoms (p = 0.064) as independent predictors of long-term, cancer-specific survival. These three risk factors were used to group patients into groups 1 (0 factors), 2 (1-2 factors), and 3 (3 factors), which corresponded to significantly different 5-year overall survival rates (50.2%, 34.6%, and 11.7%, respectively; p < 0.001). Conclusions: An elevated preoperative GLR is associated with aggressive tumor characteristics and is an independent predictor of poor postoperative prognosis in patients with PDAC. Further prospective studies are required to verify these findings.

Association between glucose-to-lymphocyte ratio and in-hospital mortality in acute myocardial infarction patients

BACKGROUND

Inflammation is involved in the development and progression of atherosclerosis. Recent studies indicated that glucose-to-lymphocyte ratio (GLR) level were significantly associated with the risk of mortality from inflammatory diseases, and showed a specific prognostic value. Herein, this study intended to explore the association between GLR level and in-hospital mortality in patients with acute myocardial infarction (AMI), and evaluate the predictive value of GLR on AMI prognosis.

METHODS

Data of patients with AMI were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database in 2012-2019 in this retrospective cohort study. Univariate COX proportional hazard model was used to screen covariates. The associations between GLR and in-hospital mortality were evaluated using univariate and multivariate COX proportional hazard models. Subgroup analysis of age, gender, vasopressor use, SOFA scores, renal replacement therapy, coronary artery bypass graft, and β blockers use were performed. The evaluated index was hazard ratios (HRs) and 95% confidence intervals (CIs). In addition, the predictive performance of GLR, glucose, and lymphocytes on in-hospital mortality was assessed respectively.

RESULTS

Among eligible patients, 248 (13.74%) died in the hospital. After adjusting for covariates, we found that a higher GLR level was associated with an increased risk of in-hospital mortality [HR = 1.70, 95%CI: (1.24-2.34)]. This relationship was also found in patients who were male, aged ≥65 years old, did not have renal replacement therapy, coronary artery bypass graft, or β blockers, used vasopressor or not, and whatever the SOFA scores (all P<0.05). Moreover, the predictive performance of GLR on in-hospital mortality seemed superior to that of glucose or lymphocytes.

CONCLUSION

GLR may be a potential predictor for AMI prognosis, which provided some references for identifying and managing high-risk populations early in clinical.

Clinical significance of serum glucose to lymphocyte ratio as a prognostic marker in peritoneal dialysis patients

BACKGROUND

The glucose-to-lymphocyte ratio (GLR), a glucose metabolism and systemic inflammatory response parameter, is associated with an adverse prognosis for various diseases. However, the association between serum GLR and prognosis in patients undergoing peritoneal dialysis (PD) is poorly understood.

METHODS

In this multi-center cohort study, 3236 PD patients were consecutively enrolled between 1 January 2009 and 31 December 2018. Patients were divided into four groups according to the quartiles of baseline GLR levels (Q1: GLR ≤ 2.91, Q2:2.91 < GLR ≤ 3.91, Q3:3.91 < GLR < 5.59 and Q4: GLR ≥ 5.59). The primary endpoint was all-cause and cardiovascular disease (CVD) related mortality. The correlation between GLR and mortality was examined using Kaplan-Meier and multivariable Cox proportional analyses.

RESULTS

During the follow-up period of 45.93 ± 29.01 months, 25.53% (826/3236) patients died, of whom 31% (254/826) were in Q4 (GLR ≥ 5.59). Multivariable analysis revealed that GLR was significantly associated with all-cause mortality (adjusted HR 1.02; CI 1.00 ∼ 1.04, p = .019) and CVD mortality (adjusted HR 1.02; CI 1.00 ∼ 1.04, p = .04). Compared with the Q1 (GLR ≤ 2.91), placement in Q4 was associated with an increased risk of all-cause mortality (adjusted HR: 1.26, 95% CI: 1.02 ∼ 1.56, p = .03) and CVD mortality (adjusted HR 1.76; CI 1.31 ∼ 2.38, p < .001). A nonlinear relationship was found between GLR and all-cause or CVD mortality in patients undergoing PD (p = .032).

CONCLUSION

A higher serum GLR level is an independent prognostic factor for all-cause and CVD mortality in patients undergoing PD, suggesting that more attention should be paid to GLR.

Circulating biomarkers in perioperative management of cancer patients

Owing to the advances in surgical technology, most solid tumours can be controlled by surgical excision. The priority should be tumour control, while some routine perioperative management might influence cancer progression in an unnoticed way. Moreover, it is increasingly recognized that effective perioperative management should include techniques to improve postoperative outcomes. These influences are elucidated by the different functions of circulating biomarkers in cancer patients. Here, circulating biomarkers with two types of clinical functions were reviewed: (i) circulating biomarkers for cancer progression monitoring, for instance, those related to cancer cell malignancy, tumour microenvironment formation, and early metastasis, and (ii) circulating biomarkers with relevance to postoperative outcomes, including systemic inflammation, immunosuppression, cognitive dysfunction, and pain management. This review aimed to provide new perspectives for the perioperative management of patients with cancer and highlight the potential clinical translation value of circulating biomarkers in improving outcomes.

Prognostic Power of Nutrition-Inflammation Indicators in Patients With Breast Cancer

BACKGROUND

Inflammation and nutritional statuses are closely related to the survival of patients with cancer. Breast cancer is the one with low level of inflammation and low risk of malnutrition. Does inflammation burden and nutrition status affect the prognosis of patients with breast cancer?

METHODS

Totally 1158 patients with breast cancer from Nutrition Status and its Clinical Outcome of Common Cancers study were included, 15 nutrition-inflammation indicators (NIIs) from literatures were adopted in this study. Area under the curve and C-index were used to compare the predictive value of 15 NIIs in overall patients and subgroup in different menstrual statuses.

RESULTS

Nutrition status indicators prognostic nutritional index, controlling nutritional status score, glucose-to-lymphocyte ratio among 15 NIIs were found to be significantly associated with prognosis of breast cancer, and remained stable in patients in different menstrual statuses. The C-index of inflammation indicators lymphocyte-to-C-reactive protein ratio, lymphocyte-C-reactive protein ratio score, and C-reaction protein (CRP) increased with age, but the predictive value of 3 inflammation indicators did not exceed the value of nutritional indicators throughout the whole life of patients with breast cancer.

CONCLUSIONS

Prognostic nutritional index, controlling nutritional status score, glucose-to-lymphocyte ratio had better predictive value for the survival of patients with breast cancer. Nutritional indicators surpassed inflammation indicators in prognostic ability for patients in different menstrual statuses. These results provide an important insight for the care of patients with breast cancer.

The value of pretreatment glucose-to-lymphocyte ratio for predicting survival of metastatic gastric cancer

Aim: To demonstrate the prognostic importance of glucose-to-lymphocyte ratio (GLR) in metastatic gastric cancer (mGC). Methods: Retrospectively, 159 mGC patients were enrolled. Kaplan–Meier curve and Cox regression analysis were used to determine the prognostic value of the systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), prognostic nutritional index (PNI) and GLR. Results: Progression-free survival (PFS) and overall survival (OS) were associated with NLR, PNI, SII and GLR by univariate analysis. Moreover, OS was associated with Eastern Cooperative Oncology Group performance status and the chemotherapy regimen. In multivariate analysis, only GLR was found to be independently prognostic for both PFS and OS. Conclusion: In mGC, GLR may be a new prognostic marker for both OS and PFS.

Prognostic value of glucose to lymphocyte ratio for patients with renal cell carcinoma undergoing laparoscopic nephrectomy: A multi-institutional, propensity score matching cohort study

Background

We evaluated the prognostic value of preoperative blood glucose to lymphocyte ratio (GLR) in renal cell carcinoma (RCC) patients who underwent laparoscopic nephrectomy through a multi-institutional clinical study.

Methods

A total of 420 patients with RCC from three medical centers from 2014 to 2019 were included in this study. The effect of GLR on overall survival (OS) and cancer-specific survival (CSS) in RCC patients was assessed by Kaplan-Meier survival curves, univariate and multivariate Cox regression analysis. Moreover, a 1:1 propensity score matching (PSM) analysis of different GLR groups was utilized to further confirm the prognostic ability of GLR.

Results

The optimal cut-off value for GLR was 6.8. Patients were divided into high GLR and low GLR groups according to the optimal cut-off value. GLR was significant association with diabetes, cardiovascular disease and AJCC stage. High GLR predicted adverse OS (P = 0.002) and CSS (P < 0.01) in RCC patients. Multivariate Cox regression analysis revealed that high GLR was an independent prognostic factor for OS [hazard ratio (HR): 2.389, 95% confidence interval (CI), 1.136–5.027, P = 0.008] and CSS (HR: 3.474, 95% CI, 1.555–7.761, P = 0.002). After PSM analysis of the patients in the high GLR and low GLR groups, high GLR still predicted poor OS (P = 0.021) and CSS (P = 0.037).

Conclusions

High GLR is associated with adverse prognosis in RCC patients, and GLR can serve as an independent prognostic marker for OS and CSS in RCC patients receiving laparoscopic nephrectomy.

The prognostic importance of glucose-to-lymphocyte ratio and uric acid in metastatic breast cancer patients treated with Cdk 4/6 inhibitors

Aim: To demonstrate the prognostic importance of glucose-to-lymphocyte ratio (GLR) and uric acid (UA) in patients with metastatic breast cancer (MBC) receiving Cdk 4/6 inhibitors. Materials & methods: Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, GLR, UA and CA15-3 were analyzed to assess their prognostic value using Kaplan-Meier curves and Cox regression analysis in 101 patients with MBC, retrospectively. Results: Importantly, both progression-free survival and overall survival were shorter in the group with high neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), GLR and UA. In the multivariate analysis, GLR and UA levels were independent prognostic factors for both progression-free survival and overall survival. Conclusion: In patients with MBC, GLR and UA are independent factors that predict survival times.

Association between glucose-to-lymphocyte ratio and in-hospital mortality in intensive care patients with sepsis: A retrospective observational study based on Medical Information Mart for Intensive Care IV

Background

This study aimed to evaluate the association between the glucose-to-lymphocyte ratio (GLR) and in-hospital mortality in intensive care unit (ICUs) patients with sepsis.

Methods

This is a retrospective cohort study. Patients with sepsis from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database had their baseline data and in-hospital prognosis retrieved. Multivariable Cox regression analyses were applied to calculate adjusted hazard ratios (HR) with 95% confidence intervals (CI). Survival curves were plotted, and subgroup analyses were stratified by relevant covariates. To address the non-linearity relationship, curve fitting and a threshold effect analysis were performed.

Results

Of the 23,901 patients, 10,118 patients with sepsis were included. The overall in-hospital mortality rate was 17.1% (1,726/10,118). Adjusted for confounding factors in the multivariable Cox regression analysis models, when GLR was used as a categorical variable, patients in the highest GLR quartile had increased in-hospital mortality compared to patients in the lowest GLR quartile (HR = 1.26, 95% CI: 1.15–1.38). When GLR was used as a continuous variable, each unit increase in GLR was associated with a 2% increase in the prevalence of in-hospital mortality (adjusted HR = 1.02, 95% CI: 1.01–1.03, p = 0.001). Stratified analyses indicated that the correlation between the GLR and in-hospital mortality was stable. The non-linear relationship between GLR and in-hospital mortality was explored in a dose-dependent manner. In-hospital mortality increased by 67% (aHR = 1.67, 95% CI: 1.45–1.92) for every unit GLR increase. When GLR was beyond 1.68, in-hospital mortality did not significantly change (aHR: 1.04, 95% CI: 0.92–1.18).

Conclusion

There is a non-linear relationship between GLR and in-hospital mortality in intensive care patients with sepsis. A higher GLR in ICU patients is associated with in-hospital mortality in the United States. However, further research is needed to confirm the findings.

Usefulness of Glucose to Lymphocyte Ratio to Predict in-Hospital Mortality in Patients with AECOPD Admitted to the Intensive Care Unit

The purpose of this study was to investigate the relationship between glucose to lymphocyte ratio (GLR) and the outcome of acute exacerbation chronic obstructive pulmonary disease (AECOPD) patients admitted to the intensive care unit (ICU). This study included 3573 patients from the eICU Collaborative Research Database (eICU-CRD) and 926 AECOPD patients admitted to ICU from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. The optimal cutoff value for GLR was 5.6. Kaplan-Meier analysis demonstrated that patients in lower GLR (< 5.6) group showed a better overall survival than patients in higher GLR (≥ 5.6) group in all sets. Multivariate Cox regression analysis demonstrated that age, Sequential Organ Failure Assessment (SOFA) score, SpO2, albumin and GLR are independent predictors of poor overall survival in the training cohort and were incorporated into the nomogram for in-hospital mortality as independent factors. The nomogram exhibited excellent discrimination with C-indexes in training cohort, internal validation and external validation cohort were (0.801, 95%CI: 0.769-0.863), (0.805, 95%CI: 0.759-0.851) and (0.811, 95%CI: 0.772-0.850), respectively. The calibration plot indicated an adequate fit of the nomogram for predicting the risk of in-hospital mortality in all sets. Moreover, the ROC analyses demonstrated that the discrimination abilities of GLR were better than other blood-based inflammatory biomarkers. As an easily available biomarker, GLR can independently predict the in-hospital mortality in AECOPD patients admitted to ICU. The nomogram combining GLR with other significant indicators exhibited excellence predictive performance for in-hospital mortality.

Preoperative Glucose-to-Lymphocyte Ratio is an Independent Predictor for Acute Kidney Injury After Cardiac Surgery in Patients in Intensive Care Unit

Background

We aimed to investigate the association between preoperative glucose-to-lymphocyte ratio (GLR) and cardiac surgery associated with acute kidney injury (CSA-AKI) in patients in the intensive care unit (ICU).

Methods

The Medical Information Mart for Intensive Care IV (MIMIC-IV version 1.0) database was used to identify adults' patients who performed cardiac surgery during ICU stay. The primary outcome was the development of AKI based on the KDIGO criteria. Multivariable logistic regression was applied to investigate the association between GLR and clinical outcomes, and propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were also used to validate our findings.

Results

The optimal cut-off value for GLR was 1.28. Among the 7181 patients who conducted cardiac surgery, 2072 high-GLR group (≥1.28) patients and 2072 low-GLR group (<1.28) patients, had similar propensity scores were included in this study. After matching, the high-GLR group had a significantly higher incidence of AKI (odds ratio, OR, 3.28, 95% confidence index, 95% CI, 2.81-3.84, P <0.001) even after adjustment for confounding factors. Moreover, the performance of GLR was superior to that of SOFA scores and GLR plus clinical model could add more net benefit for CSA-AKI than clinical model alone.

Conclusion

Preoperative GLR could serve as a good predictor for CSA-AKI in patients in ICU.

Prognostic Value of Glucose-to-Lymphocyte Ratio in Critically Ill Patients with Acute Pancreatitis

Background

Glucose metabolism and systemic inflammation have been associated with prognosis in acute pancreatitis (AP) patients. However, the possible value as a prognostic marker of the glucose-to-lymphocyte ratio (GLR) has not been evaluated in critically ill patients with AP.

Methods

This study included 1,133 critically ill patients with AP from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database, who were randomly divided into the training cohort (n=806) and the validation cohort (n=327) at a ratio of 7:3. X-tile software was used to determine the optimal cut-off values for GLR. Area under the curve (AUC) analysis was performed to compare the performance between GLR and other blood-based inflammatory biomarkers. Univariate and multivariate Cox regression analyses were applied to select prognostic factors associated with in-hospital mortality. A nomogram model was developed based on the identified prognostic factors and the validation cohort was used to further validate the nomogram.

Results

The optimal cut-off value for GLR was 0.9. The ROC analyses showed that the discrimination abilities of GLR were better than other blood-based inflammatory biomarkers. Multivariate Cox regression analysis demonstrated that age, platelet, albumin, bilirubin, Sequential Organ Failure Assessment (SOFA) score, and GLR are independent predictors of poor overall survival in the training cohort and were incorporated into the nomogram for in-hospital mortality as independent factors. The nomogram exhibited better discrimination with C-indexes in the training cohort and the validation cohort of 0.886 (95% CI=0.849–0.922) and 0.841 (95% CI=0.767–0.915), respectively. The calibration plot revealed an adequate fit of the nomogram for predicting the risk of in-hospital mortality in both sets.

Conclusion

As an easily available biomarker, GLR can independently predict the in-hospital mortality of critically ill patients with AP. The nomogram combining GLR with other significant features exerted favorable predictive performance for in-hospital mortality.

The importance of the glucose-to-lymphocyte ratio in patients with hepatocellular carcinoma treated with sorafenib

Aim: To show the prognostic significance of the glucose-to-lymphocyte ratio (GLR) in hepatocellular carcinoma (HCC). Patients & methods: A total of 150 patients with advanced HCC who were treated with sorafenib in our center between January 2011 and December 2019 were included in the study retrospectively. Neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio, prognostic nutritional index and GLR were analyzed to assess their prognostic value using Kaplan-Meier and Cox regression analysis before and after propensity score matching (PSM). Results: In univariate analysis before and after PSM, albumin-bilirubin grade, neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, lymphocyte-to-monocyte ratio, prognostic nutritional index, AFP level and GLR were found to be significantly associated with both progression-free and overall survival. In multivariate analysis before and after PSM, GLR, albumin-bilirubin grade and AFP were determined to be independent prognostic factors for progression-free and overall survival. Conclusion: The GLR prior to sorafenib treatment is a new prognostic biomarker that may predict survival in advanced HCC.

Frailty is associated with poor prognosis after resection for pancreatic cancer

BACKGROUND

With population aging, the number of frail patients with pancreatic cancer has increased. The Clinical Frailty Scale (CFS) is a simple and validated tool to assess frailty, and higher scores predict worse clinical outcomes after cardiovascular surgery. In this retrospective study, we aimed to examine the association of preoperative frailty with prognosis after resection for pancreatic cancer.

METHODS

We retrospectively analyzed data from 142 consecutive patients undergoing resection for pancreatic cancer between April 2010 and December 2018. We used the CFS: 1 (very fit) to 9 (terminally ill) to assess frailty and examined associations of the CFS scores with recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS). Multivariable Cox proportional hazards models were used to calculate hazard ratios (HRs), controlling for potential confounders.

RESULTS

Of the 142 patients, 113 (80%) had CFS scores of ≤ 3, 13 (9.2%) scores of 4, and 16 (11%) scores of ≥ 5. Scores of ≥ 5 on the CFS were associated with worse CSS (univariable HR: 2.62, 95% confidence interval [CI]: 1.19-5.18, P = 0.019; multivariable HR: 2.49, 95% CI 1.05-5.34, P = 0.039) and OS (univariable HR: 2.42, 95% CI 1.19-4.46, P = 0.016; multivariable HR: 2.25, 95% CI 1.05-4.43, P = 0.038). The association between CFS scores and RFS was not significant in multivariable analysis (univariable HR: 2.11, 95% CI 1.08-3.79, P = 0.030; multivariable HR: 1.47, 95% CI 0.71-2.83, P = 0.29).

CONCLUSION

Higher scores on the CFS are associated with worse CSS and OS after resection for pancreatic cancer. Preoperative measurement of frailty may improve risk assessment among patients with pancreatic cancer.

Oversupply of Limiting Cell Resources and the Evolution of Cancer Cells: A Review

Cancer prevention is superior to cancer treatment—indeed, understanding and controlling cancer risk is a key question in the fields of applied ecology and evolutionary oncology. Ecological cancer risk models offer the dual benefit of being generalizable across cancer types, and unveiling common mechanisms underlying cancer development and spread. Understanding the biological mechanisms of cancer risk may also guide the design of interventions to prevent cancer. Ecological considerations are central to many of these mechanisms; as one example, the ecologically-based hypothesis of metabolic cancer suppression posits that restricted vascular supply of limiting resources to somatic tissues normally suppresses the evolution of somatic cells toward cancer. Here we present a critical review of published evidence relevant to this hypothesis, and we conclude that there is substantial evidence that cancer risk does increase with an abnormal excess of limiting cell resources, including both dietary macronutrients as well as certain micronutrients.