Effect of C-reactive protein/albumin ratio on prognosis in advanced non-small-cell lung cancer

Review of the Predictive Value of Biomarkers in Sepsis Mortality

Sepsis is a leading cause of mortality among severely ill individuals, primarily due to its potential to induce fatal organ dysfunction. For clinicians, it is vital to have appropriate indicators, including the physiological status and personal experiences of patients with sepsis, to monitor the condition and assess prognosis. This approach aids in preventing the worsening of the illness and reduces mortality. Recent guidelines for sepsis focus on improving patient outcomes through early detection and timely treatment. Nonetheless, identifying severe cases and predicting their prognoses remain challenging. In recent years, there has been considerable interest in utilising the C-reactive protein (CRP)/albumin ratio (CAR) to evaluate the condition and forecast the prognosis of patients with sepsis. This research concentrates on the significance of CAR in the pathological process of sepsis, its association with prognosis, and the latest developments in employing procalcitonin, lactic acid, CRP, and other potential biomarkers. The CAR, with its predictive value for sepsis prognosis and mortality, is increasingly used as a clinical biochemical marker in diagnosing and monitoring patients with sepsis.

Efficacy and safety of stereotactic radiotherapy on elderly patients with stage I-II central non-small cell lung cancer

Background

Many studies demonstrated the safety and efficacy of SBRT in the treatment of elderly patients with early-stage non-small cell lung cancer (NSCLC). However, those studies focused on patients with peripheral lung cancer. This study aimed to evaluate the clinical efficacy and toxicity of SBRT in elderly patients with stage I-II central NSCLC in single institution.

Methods

From April 2009 to January 2020, a retrospective study was conducted on patients ≥ 65 years old with stage I-II NSCLC that was centrally localized and treated with SBRT at a single institution. Absolute C-reactive protein (CRP)/albumin ratio (CAR) and body mass index (BMI) recorded at pretreatment were analyzed. Endpoints included overall survival (OS), progression-free survival (PFS), cancer-specific death, noncancer-specific death, local progression (LP) and distant progression (DP).

Results

Stereotactic body radiation treatment (SBRT) was administered to a total of 44 patients. The most common dose fractionation schedule was 60 Gy given in 5 fractions. The median PFS of the cohort was 31 months (95% CI, 19.47-42.53 months). The median OS of all patients was 69 months (95% CI, 33.8-104.2 months). The median time to noncancer-specific death was 54.5 months. The median time to cancer-specific death was 36 months. The cumulative incidences of cancer-specific death at 1 year, 5 years, and 10 years were 11.63% (95%CI, 4.2-23.23%), 42.99% (95%CI, 27.56-57.53%), and 65.94% (95%CI, 45.76-80.1%), respectively. pre-SBRT BMI of ≤ 22.77 (HR 4.60, 95% CI 1.84-11.51, P=0.001) and pre-SBRT CAR of ≤0.91 (HR 5.19, 95% CI 2.15-12.52, P<0.000) were significant predictors of higher OS on multivariable analysis. The median times to LP and DP were 10 months and 11 months, respectively. In terms of acute toxicity, grade 1 including cough (38.64%), radiation pneumonitis (29.55%), anemia (25%), and fatigue (20.45%) was often observed. There was no evidence of grade 4 or 5 acute toxicity. In terms of late toxicity, 2 patients developed grade 1 pulmonary fibrosis during follow-up.

Conclusion

This study showed that SBRT can effectively control local tumor progression, and have acceptable toxicity for elderly patients with centrally located stage I-II NSCLC. Lower pre-SBRT BMI and lower pre-SBRT CAR were associated with a decreased risk of cancer-specific death.

Preoperative Albumin and Postoperative CRP/Albumin Ratio (CARS) are Independent Predictive Factors in Estimating 1-Year Mortality in Patients Operated for Proximal Femoral Metastasis with Endoprosthesis

Background

Proximal femur resection and prosthetic reconstruction are preferred in patients with extensive bone destruction, pathological fractures, tumours resistant to radiation therapy, and patients with more proximal metastatic lesions. There is increasing evidence that the CRP/albumin ratio (CAR) is an independent marker of inflammation in various primary organ cancers and maybe a more accurate prognostic factor. We aimed to evaluate whether preoperative and postoperative CAR values could be a factor in predicting mortality in these patients. We hypothesized that CAR could predict these patients' postoperative 90-day and 1-year mortality.

Methods

The patient's age and gender, primary tumour, number of bone metastases, and presence of visceral metastases were recorded using imaging techniques such as computed tomography and bone scan or positron emission tomography. The following laboratory data were analyzed before and after surgery.

Results

The mean age of the patients was 62.67 ± 14.8; 56.9% were female (n:29), and 43.1% were male (n:22). When the results of the ROC analysis of the parameters in predicting 1-year mortality were examined, and the cut-off value for preoperative albumin was taken as ≤ 3.75, the AUC value was found to be statistically significant as 0.745 (p:0.003). When the cut-off value for postoperative CAR was taken as ≥ 87.32, the AUC value was found to be 0.7 statistically significant (p:0.015).

Conclusion

Length of stay, preoperative albumin and postoperative CAR values can be used as independent predictive values in predicting 1-year mortality in patients undergoing endoprosthesis due to proximal femur metastasis.

Prognostic role of C-reactive protein to albumin ratio in lung cancer: An updated systematic review and meta-analysis

Background

C-reactive protein to albumin ratio (CRP/Alb ratio, CAR) has been suggested as a potential prognostic biomarker in lung cancer. This updated systematic review and meta-analysis aimed to assess the association between CAR and lung cancer prognosis in current literature.

Methods

A systematic search of databases was conducted to identify relevant studies published up to April 2023. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the association between CAR and overall survival (OS) and progression-free survival (PFS) and recurrence-free survival (RF) in lung cancer patients.

Results

This meta-analysis includes 16 studies with a total of 5337 patients, indicating a significant association between higher CAR and poorer OS, PFS, and RFS in lung cancer patients, with a pooled HR of 1.78 (95% CI = 1.60-1.99), 1.57 (95% CI = 1.36-1.80), and 1.97 (95% CI = 1.40-2.77), respectively.

Conclusions

This updated meta-analysis provides evidence for the potential prognostic role of CAR in lung cancer, suggesting its utility as an effective and noninvasive biomarker for identifying high-risk patients and informing treatment decisions in a cost-effective manner. However, further large-scale studies will be necessary to establish the optimal cut-off value for CAR in lung cancer and confirm the present findings.

Increased pretreatment triglyceride glucose-body mass index associated with poor prognosis in patients with advanced non-small cell lung cancer

BACKGROUND

The association between the triglyceride glucose-body mass index (TyG-BMI) and various health outcomes has been postulated. Nonetheless, the application of TyG-BMI in predicting the prognosis of non-small cell lung cancer (NSCLC) remains poorly understood. Our objective was to explore the association between TyG-BMI and both progression-free survival (PFS) and overall survival (OS) in patients with advanced NSCLC.

METHODS

A retrospective study was conducted on the data of 426 patients diagnosed with advanced NSCLC between 2018 and 2022. The TyG-BMI values were derived from the serum triglyceride, fasting plasma glucose, and BMI measurements obtained at the time of diagnosis. Cox proportional hazards regression models were applied to examine the impact of TyG-BMI on both progression-free survival (PFS) and overall survival (OS) in advanced NSCLC.

RESULTS

The median duration of follow-up was 899 days, with an interquartile range of 256-1486 days. In comparison to the lowest tertile of TyG-BMI, the highest tertile model demonstrated a significant association with worse OS (hazard ratio [HR]: 1.85; 95% confidence interval [CI]: 1.21-2.80; P = 0.001) and PFS (HR: 2.10; 95% CI: 1.40-3.10; P < 0.001). Each standard deviation increase in TyG-BMI corresponded to a 10% reduction in OS (95% CI: 1%-24%) and a 14% reduction in PFS (95% CI: 2%-27%). Subgroup analyses indicated that cigarette smokers and individuals with elevated C-reactive protein (CRP) levels exhibited a notably unfavorable prognosis in relation to TyG-BMI-associated advanced NSCLC, as evident in both OS (P for interaction: 0.046 for smoking) and PFS (P for interaction: 0.033 for smoking and 0.049 for CRP).

CONCLUSION

Our data revealed a causal relationship between TyG-BMI and an unfavorable prognosis in patients with advanced NSCLC. Furthermore, this independent association exhibits greater significance in individuals who are smokers and exhibit higher levels of CRP.

Clinical significance of serum high sensitive C-reactive protein/albumin ratio in primary prostate biopsy

Objective

The purpose of this study was to investigate the clinical significance of serum high sensitive C-reactive protein/albumin ratio in primary prostate biopsy.

Methods

Retrospective analysis was done on the clinical data of 1679 patients who had their first transrectal or perineal prostate biopsy at our situation from 2010 to 2018. Prostate cancer (PCa) and benign prostatic hyperplasia (BPH) were the pathologic diagnoses in 819 and 860 cases, respectively. A comparison was made between the HAR differences between PCa and BPH patients as well as the positive prostate biopsy rate differences between groups with increased and normal HAR. The results of the prostate biopsy were examined using logistic regression, and a model for predicting prostate cancer was created. The receiver characteristic curve (ROC) was used to determine the model's prediction effectiveness. The clinical models integrated into HAR were evaluated for their potential to increase classification efficacy using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). According to the Gleason score (GS) categorization system, prostate cancer patients were separated into low, middle, and high GS groups. The differences in HAR between the various groups were then compared. The prevalence of high GSPCa and metastatic PCa in normal populations and the prevalence of higher HAR in prostate cancer patients were compared using the chi-square test.

Result

Patients with PCa had a median HAR (upper quartile to lower quartile) of 0.0379 (10-3), patients with BPH had a median HAR (0.0137 (10-3)), and the difference was statistically significant (p<0.05). Patients with increased HAR and the normal group, respectively, had positive prostate biopsy rates of 52% (435/839)and 46% (384/840), and the difference was statistically significant (p<0.05). Logistic regression analysis showed that HAR (OR=3.391, 95%CI 2.082 ~ 4.977, P < 0.05), PSA density (PSAD) (OR=7.248, 95%CI 5.005 ~ 10.495, P < 0.05) and age (OR=1.076, 95%CI 1.056 ~ 1.096, P < 0.05) was an independent predictor of prostate biopsy results. Two prediction models are built: a clinical model based on age and PSAD, and a prediction model that adds HAR to the clinical model. The two models' ROC had area under the curves (AUC) of 0.814 (95%CI 0.78-0.83) and 0.815 (95%CI 0.79-0.84), respectively. When compared to a single blood total PSA (tPSA) with an AUC of 0.746 (95%CI 0.718-0.774), they were all superior. Nevertheless, there was no statistically significant difference (p<0.05) between the two models. We assessed the prediction model integrated into HAR's capacity to increase classification efficiency using NRI and IDI, and we discovered that NRI>0, IDI>0, and the difference was statistically significant (P>0.05).There was a statistically significant difference in HAR between various GS groups for individuals who had prostate cancer as a consequence of biopsy (p<0.05). The incidence of high GS and metastatic patients was statistically significantly greater (p<0.05) in the HAR elevated group (90.1%and 39.3%, respectively) than in the HAR normal group (84.4% and 12.0%).

Conclusion

Prostate biopsy results that were positive were impacted by HAR, an independent factor that increased with the rate of PCa discovery. Patients with elevated HAR had a greater risk of high GS as well as metastatic PCa among those with recently diagnosed prostate cancer through prostate biopsy.

Prognostic Significance of CONUT Score in Elderly NSCLC

PURPOSE

This study evaluated the Controlling Nutritional Status (CONUT) score as a prognostic predictor in elderly non-small cell lung cancer (NSCLC) patients with surgical resection.

METHODS

Overall, 114 patients over 80 years old undergoing curative resection for NSCLC were retrospectively analyzed. Receiver operating characteristic (ROC) analysis was conducted to evaluate the capacity of immune-inflammatory markers to predict overall survival (OS). Cox-proportional hazards regression analysis was implemented to investigate prognostic markers for OS.

RESULTS

Based on ROC curves, the CONUT score was found to be the most valuable prognostic marker (area under the curve = 0.716). The high CONUT (≥2) group included 54 patients, and the low CONUT (0 or 1) group included 60 patients. The high CONUT group had poorer prognosis rates compared to the low CONUT group with regard to OS (5-year OS: 46.3% vs. 86.0%, p = 0.0006). In the multivariate data analysis, histology, lymphatic invasion, and CONUT score (hazard ratio: 4.23, p = 0.0003) were found to be exclusive and independent prognostic markers for OS.

CONCLUSION

Preoperatively, the CONUT score can be used as a novel prognostic marker in elderly NSCLC patients. CONUT evaluations can also be used to design nutritional interventions to improve patient outcomes.

Association between the High-Sensitivity C-Reactive Protein/Albumin Ratio and New-Onset Chronic Kidney Disease in Chinese Individuals

INTRODUCTION

Inflammation is associated with development of chronic kidney disease (CKD). However, the association of the high-sensitivity C-reactive protein (hs-CRP)/albumin ratio (CAR) on the risk of CKD in the general population is unknown. This study explored the relationship between the CAR and CKD and the ability of this ratio to predict CKD in the general population.

METHODS

A total of 47,472 participants in the Kailuan study who met the inclusion criteria in 2010 were selected and grouped using the quartile method. A Cox proportional hazard regression model was used to evaluate the association of the CAR on the risk of CKD. The C-index, net reclassification index (NRI), and overall identification index (IDI) were calculated to evaluate the ability of the CAR to predict CKD.

RESULTS

During a follow-up of 378,383 person-years, CKD events occurred in 6,249 study participants (13.16%). The Cox proportional hazard regression model showed that the hazard ratio (95% confidence interval) for CKD events was 1.18 (1.10-1.28) in the Q3 group and 1.42 (1.32-1.53) in the Q4 group when compared with the Q1 group. Compared with the single index, the C-index, NRI, and IDI values were significantly improved when the CAR was added for prediction of risk of CKD.

CONCLUSIONS

A higher CAR was an independent risk factor for CKD. The ability of the CAR to predict CKD was better than that of hs-CRP or albumin. The CAR provides an important reference index for predicting the risk of CKD.

Predictive Value of the C-Reactive Protein to Albumin Ratio in 30-Day Mortality after Hip Fracture in Elderly Population: A Retrospective Observational Cohort Study

BACKGROUND

C-reactive protein (CRP) to Albumin ratio (CAR) has been used in multiple clinical settings to predict early mortality. However, there is a lack of evidence on the predictive role of CAR in 30-day mortality after a hip fracture. The purpose of this study was to establish a potential association between CAR and 30-day mortality and to assess if the CAR Receiving Operating Characteristics curve (ROC) can be a reliable predictor of early mortality.

METHODS

We retrospectively reviewed the charts of 676 patients (>65 years) treated for hip fracture between 2006 and 2018. All hip fractures were included. Treatment strategies included closed reduction and internal fixation, open reduction and internal fixation, hemiarthroplasty, or total joint arthroplasty. Statistical analysis included T-test, Pearson correlation for CAR and other markers, ROC curves and area under the curve, Youden Model, and Odds Ratio.

RESULTS

The 30-day mortality rate analysis showed that higher preoperative levels of CAR were associated with higher early mortality. When analyzing the area under the ROC curve (AUROC) for 30-day mortality, the reported value was 0.816. The point of the ROC curve corresponding to 14.72 was considered a cut-off with a specificity of 87% and a sensibility of 40.8%. When analyzing values higher than 14.72, the 30-day mortality rate was 17.9%, whilst, for values lower than 14.72, the 30-day mortality rate was 1.8%.

CONCLUSIONS

Patients older than 65 years affected by a hip fracture with increased preoperative levels of CAR are associated with higher 30-day mortality. Despite a moderate sensibility, considering the low cost and the predictivity of CAR, it should be considered a standard predictive marker.

A novel marker for predicting type 1 retinopathy of prematurity: C-reactive protein/albumin ratio

PURPOSE

We aimed to investigate whether the C-reactive protein (CRP) to albumin ratio (CAR) an inflammatory predictor can be used as a marker for the development of ROP.

METHODS

Gestational age, birth weight, gender, neonatal, and maternal risk factors were recorded. The patients were divided into two groups: those who did not develop ROP (ROP -) and those who developed ROP (ROP +). The ROP + group was further separated into two groups: those who required treatment (ROP + T) and those who were not treated (ROP + NT). The following parameters were noted in the first postnatal week and at the end of the first postnatal month: CRP, albumin, CAR, white blood cell (WBC), neutrophil, lymphocyte, neutrophil-to-lymphocyte ratio (NLR), distribution red cell width (RDW), platelet (Plt), and RDW/platelet ratio.

RESULTS

We evaluated 131 premature infants who met the inclusion criteria. There was no difference between the main groups in hemogram parameters and CAR at the postnatal first week. WBC count (p = 0.011), neutrophil count (p = 0.002), and NLR were high (p = 0.004) in the ROP + group at the end of the postnatal 1st month. The CAR level at the end of the first month was higher in the ROP + group (p = 0.027). CAR was similar between the ROP + T and ROP + NT groups (p = 0.112) in the postnatal first week but higher in the treatment-required group at the end of the first month (p < 0.01).

CONCLUSION

High CAR and high NLR at the end of the postnatal first month can be used to predict the development of severe ROP.

C-Reactive Protein/Albumin Ratio Is Associated with Mortality in Patients with Moderate to Severe Traumatic Brain Injury

BACKGROUND

The C-reactive protein/albumin ratio (CAR), Glasgow coma scale score, and blood glucose level serve as reference values to evaluate the prognosis of critically ill patients. However, the prognostic significance of the admission serum CAR for patients with moderate to severe traumatic brain injury (TBI) has remained unclear. We examined the effect of the admission CAR on the outcomes of patients with moderate to severe TBI.

METHODS

The clinical data from 163 patients with moderate to severe TBI were collected. Before analysis, the patients' records were anonymized and de-identified. Multivariate logistic regression analyses were used to investigate the risk factors and construct a prognostic model of in-hospital mortality. The predictive value of different models was compared by evaluating the areas under the receiver operating characteristic curve.

RESULTS

Of the 163 patients, those who had not survived (nonsurvivors, n = 34) had had a higher CAR than that of the survivors (3.8 vs. 2.6; P < 0.001). The results of multivariate logistic regression analysis indicated that the Glasgow coma scale score (odds ratio [OR], 0.430; P = 0.001), blood glucose (OR, 1.290; P = 0.017), and CAR (OR, 1.609; P = 0.036) were independent risk factors for mortality and were used to construct the prognostic model. The area under the receiver operating characteristic curve of the prognostic model was 0.922 (95% confidence interval, 0.875-0.970), higher than that for the CAR (P = 0.0409). We had screened 195 patients for inclusion in the present study and excluded 32 patients.

CONCLUSIONS

The CAR can serve as an independent risk factor of mortality for patients with moderate to severe TBI. Incorporating CAR into a predictive model could contribute to efficiently predicting the prognosis of adults with moderate to severe TBI.

Prognostic Impact of C-Reactive Protein-to-Lymphocyte Ratio in Non-small Cell Lung Cancer: A Propensity Score-Matching Analysis

BACKGROUND

Many inflammatory and nutritional markers have been used to predict prognosis in lung cancer. The C-reactive protein (CRP)-to-lymphocyte ratio (CLR) is a useful prognostic factor in various cancers. However, the prognostic value of preoperative CLR in patients with non-small cell lung cancer (NSCLC) remains to be established. We examined the significance of the CLR compared with known markers.

METHODS

A total of 1380 surgically resected NSCLC patients treated at two centers were recruited and divided into derivation and validation cohorts. After CLRs were calculated, patients were classified into high and low CLR groups based on the cutoff value determined by receiver operating characteristics curve analysis. Subsequently, we determined the statistical associations of the CLR with clinicopathological factors and prognosis and further analyzed its prognostic impact by propensity-score matching.

RESULTS

Of all the inflammatory markers examined, CLR yielded the highest area-under-the-curve value. The prognostic impact of CLR remained significant after propensity-score matching. Prognosis was significantly worse in the high-CLR group than in the low-CLR group (5-year, disease-free survival [DFS]: 58.1% vs. 81.9%, P < 0.001; 5-year overall survival [OS]: 72.1% vs. 91.2%, P < 0.001). The results were confirmed in the validation cohorts. Multivariable analysis also showed high CLR as an independent factor for both DFS and OS (DFS: hazard ratio [HR] 1.42, P = 0.027; OS: HR 1.95, P = 0.0037).

CONCLUSIONS

Preoperative CLR is a useful marker for predicting the prognosis of NSCLC patients who have undergone surgery.

Inflammatory prognostic factors in advanced or recurrent esophageal squamous cell carcinoma treated with nivolumab

BACKGROUND

In Japan, nivolumab administration is the standard treatment for patients with unresectable advanced or recurrent esophageal squamous cell carcinoma (ESCC) who are refractory or intolerant to fluoropyrimidines and platinum-based chemotherapy. We determined if inflammatory prognostic factors are useful in patients with ESCC treated with nivolumab monotherapy.

METHODS

The clinical data of patients with ESCC treated with nivolumab monotherapy as the second- or later-line treatment were retrospectively analyzed. Neutrophil/lymphocyte, platelet/lymphocyte, and C-reactive protein/albumin ratios (CAR); prognostic index; and prognostic nutritional index were investigated. Cut-off values for each factor were determined according to overall survival using time-dependent receiver operating characteristic curves.

RESULTS

During January 2017-June 2021, 93 consecutive patients with ESCC were enrolled from five institutions (median age, 70 years; male, 77%). With a median follow-up period of 9.1 (range, 1.0-34.7) months, the median overall and progression-free survival were 12.8 (95% confidence interval [CI], 9.0-16.6) and 4.0 (95% CI, 2.6-5.4) months, respectively. Of five inflammatory prognostic factors, the cut-off value for CAR was 0.62; prognosis was significantly longer in those with CAR < 0.62 (hazard ratio, 0.39; 95% CI, 0.22-0.67; p = 0.001).

CONCLUSIONS

Inflammatory prognostic factors were useful in predicting prognosis for ESCC patients pretreated with nivolumab, especially for those with CAR < 0.62, suggesting that CAR adequately reflects prognosis.

Elevated C-reactive protein-to-albumin ratio with fever is a predictor of poor functional outcome in patients with mild traumatic brain injury

Introduction

The C-reactive protein -to-albumin ratio (CAR), a novel inflammation-based prognostic score, is useful in predicting clinical outcomes, including those in central nervous system diseases. However, no report has identified the relationship between CAR and long-term clinical outcomes in patients with mild traumatic brain injury (mTBI). We aimed to evaluate the relationship between CAR and long-term functional outcomes in patients with mTBI and analyze whether CAR is associated with the presence of fever.

Methods

This was a retrospective observational study includes 387 adult patients with mTBI who were treated at a level-1 trauma center between 2017 and 2021. The main exposure variable was an elevated CAR, and the main outcomes were degrees of disability and quality of life measured using the modified Rankin Scale (mRS). A multivariable logistic regression analysis was performed to estimate the effect size of CAR on study outcomes. An interaction analysis was performed between CAR and fever on study outcomes.

Results

Elevated CAR had no significant association with poor functional outcomes (aOR [95% CI]: 1.35 [0.39-4.69]) in patients with mTBI. In the interaction analysis, elevated CAR was not associated with increased poor functional outcomes in the absence of fever (1.08 [0.55-2.13]), but a significant increase in poor functional outcomes was observed when elevated CAR was accompanied by fever (1.32 [1.14-2.56)).

Conclusions

Elevated CAR with fever increased the risk of poor functional recovery at 6 months after hospital discharge in patients with mTBI. Our study findings suggest the need for strategies for the prevention of long-term poor functional recovery in the presence of high CAR and fever in patients with mTBI.

Risk Prediction Model for Synchronous Oligometastatic Non-Small Cell Lung Cancer: Thoracic Radiotherapy May Not Prolong Survival in High-Risk patients

Background and Purpose

On the basis of the promising clinical study results, thoracic radiotherapy (TRT)¹ has become an integral part of treatment of synchronous oligometastatic non–small cell lung cancer (SOM-NSCLC). However, some of them experienced rapid disease progression after TRT and showed no significant survival benefit. How to screen out such patients is a more concerned problem at present. In this study, we developed a risk-prediction model by screening hematological and clinical data of patients with SOM-NSCLC and identified patients who would not benefit from TRT.

Materials and Methods

We investigated patients with SOM-NSCLC between 2011 and 2019. A formula named Risk-Total was constructed using factors screened by LASSO-Cox regression analysis. Stabilized inverse probability treatment weight analysis was used to match the clinical characteristics between TRT and non-TRT groups. The primary endpoint was overall survival (OS).

Results

We finally included 283 patients divided into two groups: 188 cases for the training cohort and 95 for the validation cohort. Ten prognostic factors included in the Risk-Total formula were age, N stage, T stage, adrenal metastasis, liver metastasis, sensitive mutation status, local treatment status to metastatic sites, systemic inflammatory index, CEA, and Cyfra211. Patients were divided into low- and high-risk groups based on risk scores, and TRT was found to have improved the OS of low-risk patients (46.4 vs. 31.7 months, P = 0.083; 34.1 vs. 25.9 months, P = 0.078) but not that of high-risk patients (14.9 vs. 11.7 months, P = 0.663; 19.4 vs. 18.6 months, P = 0.811) in the training and validation sets, respectively.

Conclusion

We developed a prediction model to help identify patients with SOM-NSCLC who would not benefit from TRT, and TRT could not improve the survival of high-risk patients.

Prognostic predictors of non-small cell lung cancer treated with curative resection: the role of preoperative CT texture features, clinical features, and laboratory parameters

AIM

To explore the value of preoperative contrast-enhanced computed tomography (CT) tumour texture characteristics, and clinical and laboratory parameters on the prognosis of curative resection for non-small-cell lung cancer (NSCLC).

MATERIALS AND METHODS

This retrospective study included 64 patients (34 men and 30 women) with NSCLC who underwent curative resection and were then followed up for 5 years or until death. Preoperative contrast-enhanced CT images, clinical features, and laboratory parameters were collected for these patients. CT texture features of the primary tumour before surgery were extracted from the contrast-enhanced CT images using ImageJ software. Based on the cut-off values determined by X-tile software, the preoperative CT texture features, clinical features, and laboratory parameters were divided into two groups. Kaplan-Meier survival curves and log-rank tests were used to compare the 5-year overall survival (OS) of patients. Multivariate Cox regression analysis was used to determine the independent factors influencing the prognosis.

RESULTS

The mean survival was 51.5 months. Tumour volume, entropy, platelet-to-lymphocyte ratio (PLR), prognostic nutritional index (PNI), and albumin-to-globulin ratio (AGR) were shown to be significantly associated with 5-year OS (p<0.05). Multivariate Cox regression analysis revealed that entropy was the independent factor of prognosis (hazard ratio 4.375, 95% confidence interval [CI]: 1.646-11.620, p=0.003).

CONCLUSION

Entropy is an important and potentially non-invasive imaging biomarker for predicting the prognosis of NSCLC undergoing curative resection.

Elucidation of the Application of Blood Test Biomarkers to Predict Immune-Related Adverse Events in Atezolizumab-Treated NSCLC Patients Using Machine Learning Methods

Background

Development of severe immune-related adverse events (irAEs) is a major predicament to stop treatment with immune checkpoint inhibitors, even though tumor progression is suppressed. However, no effective early phase biomarker has been established to predict irAE until now.

Method

This study retrospectively used the data of four international, multi-center clinical trials to investigate the application of blood test biomarkers to predict irAEs in atezolizumab-treated advanced non-small cell lung cancer (NSCLC) patients. Seven machine learning methods were exploited to dissect the importance score of 21 blood test biomarkers after 1,000 simulations by the training cohort consisting of 80%, 70%, and 60% of the combined cohort with 1,320 eligible patients.

Results

XGBoost and LASSO exhibited the best performance in this study with relatively higher consistency between the training and test cohorts. The best area under the curve (AUC) was obtained by a 10-biomarker panel using the XGBoost method for the 8:2 training:test cohort ratio (training cohort AUC = 0.692, test cohort AUC = 0.681). This panel could be further narrowed down to a three-biomarker panel consisting of C-reactive protein (CRP), platelet-to-lymphocyte ratio (PLR), and thyroid-stimulating hormone (TSH) with a small median AUC difference using the XGBoost method [for the 8:2 training:test cohort ratio, training cohort AUC difference = −0.035 (p < 0.0001), and test cohort AUC difference = 0.001 (p=0.965)].

Conclusion

Blood test biomarkers currently do not have sufficient predictive power to predict irAE development in atezolizumab-treated advanced NSCLC patients. Nevertheless, biomarkers related to adaptive immunity and liver or thyroid dysfunction warrant further investigation.

Prognostic Value of Glasgow Prognostic Score in Non-small Cell Lung Cancer: A Systematic Review and Meta-Analysis

Background: Systemic inflammation is a key factor in tumor growth. The Glasgow Prognostic Score (GPS) has a certain value in predicting the prognosis of lung cancer. However, these results still do not have a unified direction.

Methods: A systematic review and meta-analysis were performed to investigate the relationship between GPS and the prognosis of patients with non-small cell lung cancer (NSCLC). We set patients as follows: GPS = 0 vs. GPS = 1 or 2, GPS = 0 vs. GPS = 1, GPS = 0 vs. GPS = 2. We collected the hazard ratio (HR) and the 95% confidence interval (CI).

Results: A total of 21 studies were included, involving 7333 patients. We observed a significant correlation with GPS and poor OS in NSCLC patients (HR_{GPS=0 vs. GPS=1 or 2} = 1.62, 95% CI: 1.27–2.07, p ≤ .001; HR_{GPS=0 vs GPS=1} = 2.14, 95% CI:1.31–3.49, p ≤ .001; HR_{GPS=0 vs. GPS=2} = 2.64, 95% CI: 1.45–4.82, p ≤ .001). Moreover, we made a subgroup analysis of surgery and stage. The results showed that when divided into GPS = 0 group and GPS = 1 or 2 group, the effect of high GPS on OS was more obvious in surgery (HR = 1.79, 95% CI: 1.08–2.97, p = .024). When GPS was divided into two groups (GPS = 0 and GPS = 1 or 2), the III-IV stage, higher GPS is associated with poor OS (HR = 1.73, 95% CI: 1.43–2.09, p ≤ .001). In the comparison of GPS = 0 and GPS = 1 group (HR = 1.56, 95% CI: 1.05–2.31, p = .026) and the grouping of GPS = 0 and GPS = 2(HR = 2.23, 95% CI: 1.17–4.26, p = .015), we came to the same conclusion.

Conclusion: For patients with NSCLC, higher GPS is associated with poor prognosis, and GPS may be a reliable prognostic indicator. The decrease of GPS after pretreatment may be an effective way to improve the prognosis of NSCLC.

The C-reactive protein to albumin ratio is a prognostic factor for stage I non-small cell lung cancer in elderly patients: JACS1303

PURPOSE

To establish the prognostic significance of C-reactive protein (CRP) and albumin in octogenarians with non-small cell lung cancer (NSCLC) based on the study of the Japanese Association for Chest Surgery (JACS 1303).

METHODS

A total of 618 octogenarians with pathological stage I NSCLC, who underwent pulmonary resection, were included in the analysis. We conducted multivariable Cox regression analysis to evaluate the CRP to albumin ratio (CAR) as a potential prognostic factor. Other clinicopathological factors were also evaluated.

RESULTS

The median age was 82 years. Operations included lobectomy (n = 388; 62.8%) segmentectomy (n = 95; 15%), and wedge resection (n = 135; 22%). Pathological stage IA was diagnosed in 380 (61.5%) patients. The 3-year (OS) and cancer-specific survival (CS) rates were 86.7% and 94.6%, respectively. OS was significantly higher for patients with low CAR (< 0.106) than for those with high CAR (≥ 0.106) (hazard ratio = 3.13, 95% confidence interval: 1.99-4.93, p < 0.0001). Univariate analysis identified sex, poor performance status, smoking status, comorbidity, solid tumor, histology, high Glasgow prognostic scale, and high CAR as significant prognostic factors. Multivariate analysis identified only the CAR as a significant prognostic factor for both OS and CS.

CONCLUSIONS

Our analysis of the nationwide data demonstrated that the CAR is a useful prognostic factor for elderly patients with stage I NSCLC.

The Relation Between C-Reactive Protein-Albumin Ratio and Carotid Intima-Media Thickness in Psoriasis

Psoriasis vulgaris is associated with an increased risk of atherosclerosis. The C-Reactive Protein-to-Albumin Ratio (CAR) has received increasing attention as an independent prognostic factor for inflammatory diseases. The carotid intima-media thickness (cIMT) is a predictor of atherosclerosis. We assessed the correlation between CAR and cIMT in patients with psoriasis vulgaris. We enrolled 147 participants (72 with psoriasis vulgaris and 75 controls). Disease severity was assessed using the "Psoriasis Area Severity İndex (PASI)." Patient and control groups were similar with regard to gender, age, and body mass index (BMI). cIMT was measured in both the left and the right common carotid arteries. CAR values were higher in patients with psoriasis compared with controls (0.93 (0.06-4.32) vs 0.51 (0.10-2.99), p < .001). The patients with psoriasis had a significantly greater cIMT compared with control subjects. (0.53 (0.42-0.65) vs 0.50 (0.41-0.65) mm, p = .03). PASI scores were positively correlated with CAR values (r = 0.532, p < .001). A positive correlation between cIMT and CAR was found in patients with psoriasis vulgaris (r = 0.463, p < .001). CAR is an easily derived reproducible marker that could prove useful for assessing the inflammatory status of patients with psoriasis in clinical practice. CAR may also prove useful as a cardiovascular risk marker in these patients.

The use of the ratio of C-reactive protein to albumin for the diagnosis of complicated appendicitis in children

PURPOSE

No reliably specific marker for complicated appendicitis has been identified. The ratio of serum C-reactive protein (CRP) to albumin (ALB) (CRP/ALB ratio) is a new inflammation-based prognostic score that is associated with the severity of inflammation. The aim of this study was to evaluate the predictive value of CRP/ALB ratio for the diagnosis of complicated appendicitis in children.

METHODS

A retrospective study of 296 children with acute appendicitis was conducted with assessments of demographic data, clinical symptoms, pre-operative laboratory results, abdominal ultrasound examinations and clinical outcomes. According to the postoperative pathological results, patients were divided into a simple appendicitis group (169 patients) and a complicated appendicitis group (127 patients). SPSS version 22.0 was used to analyse the data.

RESULTS

Of the 296 patients, CRP/ALB ratio was higher in complicated appendicitis than in simple appendicitis (P < 0.05). Logistic regression analysis showed that higher levels of white blood cell count (WBC), CRP, CRP/ALB ratio, and increased incidence in submucosal layer loss and appendicolith were independent risk factors for complicated appendicitis in children. Receiver operating characteristic curve analysis showed that the area under the curve of the CRP/ALB ratio (0.883) was larger than that of WBC (0.702), CRP (0.802), ALB (0.835), submucosal layer loss (0.633) and appendicolith (0.673). A CRP/ALB ratio ≥ 1.39 was found to be a significant marker in the prediction of complicated appendicitis, with 86.61% sensitivity and 84.62% specificity. Patients with a CRP/ALB ratio ≥ 1.39 had a 31.263 times higher chance of having complicated appendicitis (95% CI: 16.449-59.418) than those with a CRP/ALB ratio < 1.39.

CONCLUSION

The admission CRP/ALB ratio was significantly higher in children with complicated appendicitis. The CRP/ALB ratio is a novel but promising haematological marker that aids in the differentiation of acute complicated and simple appendicitis.

Does C-reactive protein to serum Albumin Ratio correlate with diabEtic nephropathy in patients with Type 2 dIabetes MEllitus? The CARE TIME study

AIMS

Diabetic Nephropathy (DN) is a complication of Diabetes Mellitus and is associated with chronic and low-grade inflammatory burden. Novel inflammatory predictors, such as, C-reactive protein to serum albumin ratio (CAR) has been studied various inflammatory conditions, recently. Increased inflammatory burden accompany to both type 2 Diabetes Mellitus (T2DM) and DN, hence we aimed to compare CAR levels of the T2DM subjects with DN to those of without DN.

METHODS

Patients with T2DM were enrolled to the study. Study population grouped into two according to the presence (group A) or absence (group B) of DN. Characteristics and laboratory data, as well as CAR levels; of the study groups were compared.

RESULTS

Median CAR levels of the groups A and B were 2.17% (0.02-13.2) and 0.39% (0.02-4.39), respectively (p < 0.001). CAR was found to be an independent risk factor for diabetic nephropathy (adjusted to age, BMI, fasting glucose, HbA1c, and body weight). One unit (0.1%) elevation in CAR increased the risk of nephropathy by 3.5 folds (p < 0.001, 95%CI: 2.24-5.45). CAR levels greater than 0.82% have 79% sensitivity and 78% specificity in predicting DN (AUC: 0.86 [95% CI: 0.80-0.92]; p < 0.001).

CONCLUSIONS

In conclusion, elevated CAR levels are higher in type 2 diabetic patients with diabetic nephropathy. According to the ROC curve, a level higher than 0.82% presents the best sensitivity and specificity in the association with the presence of DN.

Relationship between CANLPH score and in-hospital mortality in patients undergoing coronary artery bypass grafting

Aim: To evaluate the CANLPH score in in-hospital mortality after coronary artery bypass grafting. Materials & methods: The 999 patients were included in this retrospective cohort study. Neutrophil/lymphocyte ratio, C-reactive protein/albumin ratio and platelet/hemoglobin ratio were determined and the CANLPH score was calculated as the sum score of 0 or 1 by the cutoff in each ratio. Results: Twenty-five patients who reached the primary end point were defined as the mortality group and the remaining as the nonmortality group. The CANLPH score was noninferior to the European System for Cardiac Operative Risk Evaluation II in receiver-operating characteristic curve analysis with difference between AUC: 0.0162, standard error (SE): 0.0394, z statistics: 0.682 and p = 0.494. Conclusion: The CANLPH score may be more appropriate in assessing the risk of in-hospital mortality after coronary artery bypass grafting.

Prognostic Value of Blood Urea Nitrogen to Serum Albumin Ratio in Intensive Care Unit Patients with Lung Cancer

Background

We aimed to evaluate the prognostic ability of blood urea nitrogen (BUN) to serum albumin ratio (BAR) to predict in-hospital mortality in patients with lung cancer in the intensive care unit (ICU).

Methods

Medical Information Mart for Intensive Care IV (MIMIC-IV v1.0) database was used to identify patients who were diagnosed with lung cancer. The primary outcome was in-hospital mortality. Multivariate COX regression was used to investigate the association between BAR and in-hospital mortality and propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were also used to ensure the robustness of our findings. eICU-CRD database (validation cohort) was also applied to validate our findings.

Results

The optimal cut-off value for BAR was 6.8mg/g. Among 1202 patients who were diagnosed with lung cancer, 287 high-BAR group (≥6.8mg/g) patients and 287 low-BAR group (<6.8mg/g) patients, who had similar propensity scores were included in this study. After matching, the high-BAR group had significantly higher in-hospital mortality (hazard ratio, HR, 2.24, 95% confidence index, 95% CI, 1.57–3.19, P<0.001) even after adjustment for confounding factors. Moreover, the performance of BAR was superior to that of BUN and serum albumin alone and could add net benefit in predicting in-hospital mortality. Those results were further confirmed in the validation cohort.

Conclusion

As an easily accessible and cost-effective parameter, BAR could serve as a good prognostic predictor for lung cancer patients in ICU.

Clinical Relevance and Prognostic Value of Inflammatory Biomarkers: A prospective Study in Terminal Cancer Patients Receiving Palliative Care

CONTEXT

Inflammatory biomarkers have prognostic value in cancer patients, but the feasibility of their use with terminal cancer patients and the related cutoff points are poorly explored.

OBJECTIVES

To describe the percentiles values of inflammatory biomarkers; to identify their cutoff points in relation to death; and to determine the prognostic value of C-reactive protein (CRP), leukocytes, neutrophils, neutrophil/lymphocyte ratio (NLR), CRP/albumin ratio (CAR), and modified Glasgow Prognostic Score for death within 90 days, in terminal cancer patients receiving palliative care.

METHODS

Prospective cohort study that included patients who received palliative care at the Palliative Care Unit of the National Cancer Institute (Brazil) between October 2019 and March 2020. Receiver operating characteristic curves were used to identify the optimal cutoff points of the inflammatory biomarkers for the prediction of death in 90 days. Kaplan-Meier curves and Cox regression were used to verify the prognostic value of these cutoff points and concordance statistic (C-statistic) was used to test their predictive accuracy.

RESULTS

A total 205 patients (mean age: 62.5 years; female: 59%) were included in the study. The optimal cutoff points were CRP ≥6.7mg/L, CAR ≥2.0, leukocytes ≥9300/μL, neutrophils ≥7426/μL and NLR ≥6.0. All biomarkers showed prognostic value and good predictive accuracy when their cutoff points were used, especially CAR, which presented excellent discrimination power (C-statistic: 0.80).

CONCLUSION

The inflammatory biomarkers analyzed are independent predictive factors for death within 90 days in terminal cancer patients. CAR appears to be the most useful parameter for predicting survival in these patients.

Body composition and inflammation impact in non-small-cell lung cancer patients treated by first-line immunotherapy

Background: Immunotherapy changed the landscape of non-small-cell lung cancer (NSCLC). Efforts were made to implement its action. This study aims to describe body composition, nutritional and inflammatory status in NSCLC patients treated by first-line immunotherapy, their correlation, variation and impact. Patients and methods: We retrospectively analyzed 44 consecutive patients who received pembrolizumab treatment. Results: During the therapy, inflammation and visceral fat increased, whereas muscle and subcutaneous fat decreased. Parameters related to inflammation had an interesting prognostic impact. High numbers of white blood cells remained significantly correlated with a high risk of death in multivariate model. Conclusion: For the best treatment choice, a combination of clinical and biological factors will be most likely be necessary. Prospective and larger studies with a multidimensional approach are needed.

Neutrophil-to-lymphocyte ratio and C-reactive protein-to-albumin ratio as prognostic factors for unresectable advanced or recurrent gastric cancer

PURPOSE

This study evaluated the prognostic value of C-reactive protein-to-albumin (CAR) and neutrophil-to-lymphocyte ratios (NLR) in conjunction with host-related factors in patients with unresectable advanced or recurrent gastric cancer.

METHODS

A total of 411 patients with unresectable advanced gastric cancer were treated at Kochi Medical School between 2007 and 2019. Associations between clinicopathological parameters and systemic inflammatory and nutritional markers, including CAR and NLR, with overall survival were analyzed retrospectively.

RESULTS

The optimal cut-off values of predicted median survival time were 0.096 (sensitivity, 74.9%; specificity, 42.5%) for CAR and 3.47 (sensitivity, 64.1%; specificity, 57.5%) for NLR, based on the results of receiver operating characteristic analysis. A weak significant positive correlation was identified between CAR and NLR (r = 0.388, P < 0.001). The median survival time was significantly higher in patients with intestinal-type than those with diffuse-type histology (18.3 months vs. 9.5 months; P = 0.001), CAR < 0.096 than those with CAR ≥ 0.096 (14.8 months vs. 9.9 months; P < 0.029), and those with NLR < 3.47 than NLR ≥ 3.47 (14.7 months vs. 8.8 months; P < 0.001). Multivariate survival analysis revealed that diffuse-type histology (hazard ratio (HR) 1.865; 95% confidence interval (CI) 1.397-2.490; P < 0.001)), 1 or more performance status (HR 11.510; 95% CI 7.941-16.683; P < 0.001), and NLR ≥ 3.47 (HR 1.341; 95% CI 1.174-1.769; P = 0.023) were significantly associated with independent predictors of worse prognosis.

CONCLUSIONS

High CAR and NLR are associated with poor survival in patients with unresectable and recurrent gastric cancer.

Prognostic significance of the preoperative C-reactive protein-to-albumin ratio in patients with colorectal cancer

Background

The aim of the present study was to determine the utility of the C-reactive protein-to-albumin ratio (CAR) for predicting the overall survival (OS) in locally advanced colorectal cancer (CRC) patients.

Patients and Methods

This retrospective multicenter study was performed using data from a prospectively maintained database of pathological Stage II or III patients undergoing CRC surgery at the Yokohama City University, Department of Surgery, and its affiliated institutions between April 2000 and March 2016. The risk factors for the OS were identified.

Results

A CAR of 0.03 was considered to be the optimal cutoff point for classification based on the 1-, 3-, and 5-year survival rates and receiver operating characteristic curve. The OS rates at 3 and 5 years after surgery were 92.4% and 85.7% in the CAR-low group, respectively, and 86.7% and 81.1% in the CAR-high group. A multivariate analysis showed that the CAR was a significant independent risk factor for the OS. When comparing the patients' demographic and clinical characteristics between the CAR ≤0.03 and >0.03 groups, the incidence of patients who received adjuvant chemotherapy and the incidence of postoperative complications were significantly different between the two groups.

Conclusion

The present study showed that the preoperative CAR was a risk factor for the OS in patients who underwent surgery for CRC. To improve the patients' survival, CAR might be a useful tool for devising treatment strategies.

Preoperative Serum Hypersensitive-c-Reactive-Protein (Hs-CRP) to Albumin Ratio Predicts Survival in Patients with Luminal B Subtype Breast Cancer

Objective

To evaluate the clinical prognostic significance of preoperative serum hypersensitive-c-reactive-protein (Hs-CRP) to albumin ratio (CAR) in patients with luminal B subtype breast cancer.

Methods

A total of 199 patients with luminal B subtype breast cancer enrolled in this study were analyzed retrospectively. The optimal cutoff value of CAR was performed by the receiver operating characteristic curve (ROC). The associations between luminal B subtype breast cancer and clinicopathological variables by CAR were performed by chi-square test. Kaplan–Meier and log rank method were used for survival analysis. The independent prognostic factors were determined by univariate and multivariate Cox’s proportional hazards regression model.

Results

The patients were divided into low CAR group (CAR<0.044) and high CAR group (CAR≥0.044) by ROC. CAR was the independent factor by univariate and multivariate analysis, and the mean DFS and OS in the low CAR group survived longer than those in the high CAR group (p<0.05). According to the endocrine therapy with aromatase inhibitors, the mean survival time of DFS and OS in the low CAR group was significantly higher than that in the high CAR group (p<0.05). Moreover, patients with pathological I+II stage survived longer than those with pathological III stage, and the mean survival time of DFS and OS in the low CAR group was significantly higher than that in the high CAR group (p<0.05). Patients without lymph vessel invasion survived longer than those with lymph vessel invasion (p<0.05), and the mean survival time of DFS and OS in low the CAR group was significantly higher than that in the high CAR group (p<0.05).

Conclusion

Preoperative CAR was significantly associated with survival and prognosis of breast cancer, and it can be used as a routine prognostic indicator to predict the prognosis of luminal B subtype breast cancer.

Inflammatory Markers and Procalcitonin Predict the Outcome of Metastatic Non-Small-Cell-Lung-Cancer Patients Receiving PD-1/PD-L1 Immune-Checkpoint Blockade

Peripheral-immune-checkpoint blockade (P-ICB) with mAbs to PD-1 (nivolumab and pembrolizumab) or PD-L1 (atezolizumab, durvalumab, avelumab) alone or combination with chemotherapy represents a novel active treatment for mNSCLC patients. However, this therapy can be associated to immune-related adverse events (irAEs) and high cost. Therefore, finding reliable biomarkers of response and irAEs is strongly encouraged to accurately select patients who may potentially benefit from the immuno-oncological treatment. This is a retrospective multi-institutional analysis performed on ninety-five mNSCLC patients who received real-world salvage therapy with nivolumab or atezolizumab between December 2015 and April 2020. The outcome of these patients in term of PFS and OS was evaluated in comparison with different serum levels of C-reactive protein (CRP), Erythrocyte Sedimention Rate (ESR) and Procalcitonin (PCT) by performing Kaplan-Meier and Log-rank test and multivariate analysis. We found that high baseline levels of CRP, ESR, and PCT were strongly predictive of poor outcome (P <0.05) with the worse prognosis detected in those patients with a baseline levels of both ESR and PCT over the pre-established cut off (median OS recorded in patients with no marker over the cut off vs. those with just one marker over the cut off vs. those with both markers over the cut off: 40 ± 59 vs. 15.5 ± 5.5 vs. 5.5 ± 1.6 months, respectively; P <0.0001). Our results suggest the predictive value of systemic inflammation and suggest a potential role of PCT in predicting a poor outcome in mNSCLC receiving PD-1/PD-L1 blocking mAbs. This finding also suggests a potential role of subclinical bacterial infections in defining the response to PD-1/PD-L1 blocking mAbs that deserves further and more specific investigations.

Impact of body composition, nutritional and inflammatory status on outcome of non-small cell lung cancer patients treated with immunotherapy

BACKGROUND AND AIMS

Body composition and balance of nutritional and inflammatory status are important for the immune system. Alterations of these aspects may impact on response, outcome and toxicities of immunotherapy. In this review we try to clarify some definitions and tools used for the assessment of the different aspects of nutritional disorders, body composition and inflammatory status with a focus on lung cancer.

METHODS

We primary investigate the definitions of malnutrition, cachexia, sarcopenia and overweight. Secondary, tools used to measure body composition, nutritional and inflammatory status, mainly in lung cancer are reviewed.

RESULTS

All these features, in the time of precision medicine may improve assessment and selection of patients, incorporating also early palliative care in standard therapy.

CONCLUSIONS

A multimodal approach based on nutrition assessment and physical exercise should be evaluated to improve aspects of the immune response against cancer and to propose the best treatment to every patient.

Prognostic Value of C-Reactive Protein-to-Albumin Ratio in Head and Neck Cancer: A Meta-Analysis

The C-reactive protein-to-albumin ratio is a proven prognostic predictor of nasopharyngeal carcinoma. However, the role of the C-reactive protein-to-albumin ratio in other head and neck cancers remains unclear. This meta-analysis explored the prognostic value of the C-reactive protein-to-albumin ratio in head and neck cancers. A systematic search was conducted. Outcomes of interest included overall survival, disease-free survival, and distant metastasis-free survival. The hazard ratio with 95% confidence interval was pooled using a random-effects model. A total of 11 publications from the literature were included, allowing for the analysis of 7080 participants. Data pooling demonstrated that pretreatment C-reactive protein-to-albumin ratio had a hazard ratio of 1.88 (95% CI: 1.49-2.37, p < 0.001) for predicting overall survival, 1.91 (95% CI: 1.18-3.08, p = 0.002) for disease-free survival, and 1.46 (95% CI: 1.08-1.96, p = 0.001) for distant metastasis-free survival. Subgroup analysis showed that the C-reactive protein-to-albumin ratio is a significant prognostic marker for various head and neck cancers. An elevated pretreatment C-reactive protein-to-albumin ratio predicts a worse prognosis for patients with head and neck cancers. Therefore, the C-reactive protein-to-albumin ratio could serve as a potential prognostic biomarker facilitating treatment stratification.

The hepatic microenvironment promotes lung adenocarcinoma cell proliferation, metastasis, and epithelial-mesenchymal transition via METTL3-mediated N6-methyladenosine modification of YAP1

The inflammatory microenvironment plays an important role in the onset and progression of lung adenocarcinoma (LUAD), and the liver is a suitable site of metastasis for LUAD cells. However, whether the inflammatory microenvironment of the liver is conducive to the proliferation, invasion, and metastasis of LUAD cells remains unclear. In this study, we confirmed that the hepatic inflammatory microenvironment stimulated by IL-6 promoted the proliferation, migration, invasion, and epithelial–mesenchymal transition of LUAD cells, increased the m6A methylation of total RNA, and transcriptionally activated METTL3 expression. Additionally, METTL3 activated the YAP1/TEAD signaling pathway by increasing the m6A modification and expression of YAP1 mRNA. These results indicate that the hepatic inflammatory microenvironment plays a role in regulating the biological functions of LUAD cells. Further, our study identifies a molecular mechanism that may provide a new strategy for the early diagnosis, treatment, and prognosis of liver metastasis in LUAD patients.

Prognostic assessment in palliative cancer care: is there a difference between adult and older patients?

OBJECTIVE: To compare factors associated with death in adults and older people with advanced cancer who were hospitalized in a palliative care unit (PCU). METHODS: Case-control study with patients (adults vs older people) admitted to a PCU of National Cancer Institute José Alencar Gomes da Silva (INCA), in Rio de Janeiro, Brazil. Logistic regressions (odds ratio [OR] and 95% confidence interval [95%CI]) were used to identify factors associated with death. RESULTS: The study included 205 patients, most of which were aged over 60 years old (60.5%). Among the adult patients, a Karnofsky Performance Status ≤ 40% (OR 2.54 [95%CI 1.11–3.45]) and neutrophil-to-lymphocyte ratio (NLR) (OR 1.09 [95%CI 1.02–1.24]) were risk factors for death, while albumin (OR 0.30 [95%CI 0.12–0.78]) was a protective factor. Among older patients, NLR (OR: 1.13 [95%CI 1.02–1.24]), C-reactive protein (CRP) (OR 1.09 [95%CI 1.02–1.17]), modified Glasgow Prognostic Score (mGPS) 1 and 2 (OR 4.66 [95%CI 1.35–16.06]), CRP-to-albumin ratio (CAR) (OR 1.27 [95%CI 1.03–1.58]), and nutritional risk (OR 1.11 [95%CI 1.03–1.19]) were risk factors, whereas albumin (OR 0.23 [95%CI 0.09–0.57]) was a protective factor against death. CONCLUSIONS: Prognostic factors differed between groups. The NLR was a risk factor, and albumin was a protective factor regarding death in both groups. Additionally, CRP, mGPS, CAR, and nutritional risk were associated with an increased risk of death only among older people.

Is C-Reactive Protein/Albumin Ratio of Advanced-Stage Non-small Cell Lung Cancer Patients Able to Predict Mortality in the Admission for Palliative Care?

Context:

Lung cancer is frequent and mortal cancer. The predicting mortality may be helpful for cancer management.

Aim:

The purpose of the study was to evaluate the role of baseline C-reactive protein (CRP)/albumin ratio (CAR) in relation to hospital mortality, the setting of advanced stage non-small cell lung cancer (NSCLC).

Materials and Methods:

The present study is a retrospective analysis and included 77 adult patients with Stage IV NSCLC who were hospitalized for supportive care. All patients are divided into two groups as survivors and nonsurvivors. CAR on the admission was compared between groups. The correlation between CAR and the death time was investigated. The cutoff level of CAR was calculated, and patients with a high level were described in two groups.

Results:

For all participants, the mean age was 63.0 ± 9.9 years, and the median values of CRP and albumin levels were 15.3 mg/dl (1–51.5) and 5.7 g/dl (0.02–22.7), respectively. CAR was significantly lower in the survivor group. By receiver operation curve analysis, the cutoff levels of CRP and CAR were determined as 10.8 and 3.5, respectively. The odds ratio of mortality was 3.85 (1.49–9.94 95% confidence interval [CI], P = 0.006) for higher than cutoff levels of CAR. The odds ratio was 3.38 (1.32–8.65 95% CI, P = 0.01) for higher CRP levels. There was a significant but weak negative correlation between the time of death and both CRP and CAR in the nonsurvivor group (r = −0.46, P = 0.002; r = −0.48, P = 0.001, respectively).

Conclusion:

The present study showed that CAR was significantly increased in nonsurvivors. CAR may be a cheap, easy, and effective tool for predicting the death and its time of hospitalized NSCLC patients.

Serum C-reactive protein to albumin ratio and mortality associated with peritoneal dialysis

Background: Serum C-reactive protein to albumin ratio (CAR) was recently identified as a poor marker of prognosis among various populations. The current study aimed to examine the association between CAR and all-cause mortality among patients undergoing peritoneal dialysis (PD).Methods: A total of 758 patients with PD were included in this study during the period from 1 November 2005 to 28 February 2017 and followed up until 31 May 2017. The primary outcome was all-cause mortality. We used multivariate Cox proportional hazard models and Kaplan-Meier survival curves to assess the relationship between CAR and all-cause mortality in these patients.Results: Among 758 participants, mean age was 49.1 ± 14.2 years, with 56% males and 18.6% prevalence of diabetes. Median CAR was 0.13 (interquartile range [IQR], 0.07-0.34). After 27 months (IQR, 14-40 months) of follow-up, 157 deaths had been reported. After adjusting for confounding factors, we found a significant association between serum CAR and all-cause mortality among those in the highest CAR group (hazard ratio 1.91, 95% confidence interval 1.05- 3.47, p = 0.034).Conclusions: In patients undergoing PD, an increase in serum CAR is independently associated with increased risk for all-cause mortality.

Identification of the Best Prognostic Marker Among Immunonutritional Parameters Using Serum C-Reactive Protein and Albumin in Non-Small Cell Lung Cancer

BACKGROUND

Three immune-nutritional parameters exist for malignant tumors using serum C-reactive protein (CRP) and albumin: the Glasgow prognostic score (GPS), the modified GPS (mGPS), and the CRP-albumin ratio (CAR). However, it remains unclear which of the three parameters is the most predictive of prognosis. Therefore, this study compared the clinical and prognostic significance of these parameters for non-small cell carcinoma (NSCLC).

METHODS

The study retrospectively enrolled 596 NSCLC patients who underwent surgical resection at the authors' institution from January 2010 to December 2015 and investigated the clinicopathologic significance of GPS, mGPS, and CAR. The optimal cutoff value for CAR was determined by a receiver operating curve (ROC).

RESULTS

The median age of the patients was 69 years. Lymph node metastases were identified in 99 patients, and 455 patients had a diagnosis of stage 1 disease. The positivity for GPS was 7.6%, and that of mGPS (score, 1 or 2) was 12.2%. Of the 596 patients, 480 patients (80.5%) were classified in the high CAR group. In univariate survival analyses, all three parameters were associated significantly with postoperative survival. The multivariate analyses showed CAR to be an independent prognostic factor. Additionally, survival analyses of the stage 1 subgroup were performed because CAR was higher for patients with an advanced stage of disease or lymph node metastases. In these subgroup analyses, CAR also was an independent prognostic factor.

CONCLUSION

As the most prognostic index, CAR may be useful among the immunonutritional parameters using CRP and albumin for resected NSCLC.

CRP Albumin ratio is positively associated with poor outcome in patients with traumatic brain injury

OBJECTIVES

The C-reactive protein/albumin ratio (CAR), a novel inflammation-based index, has been proved useful in predicting outcome of various diseases. We designed this study to explore the prognostic value of CAR in patients with traumatic brain injury (TBI).

PATIENTS AND METHODS

We retrospectively included 151 patients diagnosed with TBI and collected related clinical and laboratory data. Univariate and multivariate logistic regression were conducted to find independent risk factors of mortality. Then, we incorporated CAR into prognostic model and drew receiver operating characteristic (ROC) curve of models. Finally, we compared the predictive value of different models by evaluating the area under the receiver operating characteristic curves (AUC).

RESULTS

In this study, a total of 54 patients had poor survival outcome with mortality rate of 35.8 %. Results of multivariate analysis showed that GCS score in admission (OR 0.700, 95 %Cl 0.570-0.860, p=0.001), acute kidney injury (AKI) (OR 3.952, 95Cl 1.631-9.577, p=0.002) and CAR (OR 1.202, 95Cl 1.039-1.390, p=0.013) were independently associated with in-hospital mortality. The AUC value of predictive model composed of the above three factors was higher than GCS or CAR alone.

CONCLUSION

CAR is an independent risk factor of mortality in patients with TBI. Incorporating CAR into predictive model could increase the value in predicting outcome of TBI patients.

The prognostic value of the C-reactive protein to albumin ratio in cancer: An updated meta-analysis

BACKGROUND

Previous studies have demonstrated that the C-reactive protein to albumin ratio (CAR) is correlated with the clinical outcomes of solid tumors. However, the available data have not been systematically evaluated. The objective of the present meta-analysis was to explore the prognostic value of the CAR in solid tumors.

METHODS

Eligible studies were identified from the PubMed, EMBASE and Web of Science electronic databases. The clinical characteristics, disease -free survival (DFS) /progression-free survival (PFS) and overall survival (OS) were extracted from the eligible studies. The pooled hazard ratios (HRs) and 95% confidence intervals were calculated with STATA 12.0 software. We also performed subgroup, meta-regression and sensitivity analyses.

RESULTS

In total, twenty-seven eligible studies including 10556 patients were enrolled in the present meta-analysis. The pooled HRs with 95% confidence intervals showed that the CAR was significantly associated with poor OS (HR = 1.95, 95% CI: 1.71-2.22) and DFS/PFS (HR = 1.82, 95% CI: 1.61-2.07) in patients with solid tumors. Although publication bias was found in the studies with regard to OS, a further trim and fill analysis revealed that the adjusted HR was 1.82 (95% CI: 1.69-1.96), which was close to the original HR. Subgroup analysis confirmed the CAR as a strong prognostic marker in patients with solid tumors, regardless of the tumor type, detection time, cut-off value, sample size and area.

CONCLUSION

Our meta-analysis indicated that a high CAR might be an unfavorable prognostic marker for OS and DFS/PFS in patients with solid tumors.

Prognostic impact of C-reactive protein-albumin ratio for the lethality in castration-resistant prostate cancer

This study aimed to assess the clinical value of C-reactive protein-albumin ratio (CAR) at the initiation of first-line treatment for castration-resistant prostate cancer (CRPC). We identified 221 CRPC patients treated with either androgen-signaling inhibitors (ASIs: abiraterone and enzalutamide) or docetaxel as the first-line treatment. The value of CAR was evaluated at the initiation of first-line treatment. The optimal cutoff value of CAR for the prediction of lethality was defined by the receiver operating characteristic curve and the Youden Index. The primary endpoints of the study included overall survival (OS) and cancer-specific survival (CSS). The median age was 74 years. The optimal cutoff value of CAR in newly diagnosed CRPC patients was 0.5 (CAR > 0.5: n = 77 and CAR ≤ 0.5: n = 144). The 3-year OS and CSS rate in patients with CAR > 0.5 were significantly lower than those with CAR ≤ 0.5 (OS: 30.9% vs 55.5%, p < 0.001) (CSS: 42.5% vs 65.4%, p < 0.001). A multivariate analysis consistently demonstrated that CAR was an independent predictor for both OS and CSS. When stratified by the first-line treatments, patients with CAR > 0.5 has significantly shorter CSS than those with CAR ≤ 0.5 in abiraterone (median of 23 vs 49 months, p < 0.001) and enzalutamide (median of 23 vs 41 months, p = 0.0016), whereas no difference was observed in patients treated with docetaxel as the first-line treatment (median of 34 and 37 months, p = 0.7708). Despite the limited cohort size and retrospective design, increased CAR seemed to serve as an independent predictor of OS and CSS for patients newly diagnosed with CRPC.

The CRP/Albumin Ratio Predicts Survival And Monitors Chemotherapeutic Effectiveness In Patients With Advanced Pancreatic Cancer

PURPOSE

The CRP/albumin (Alb) ratio, a recently reported predictor, has shown value for prognosis in various human cancers. This study aimed to determine the prognostic value of baseline CRP/Alb and to explore the relevance between postchemotherapy CRP/Alb and the efficacy of chemotherapy in advanced pancreatic cancer patients.

PATIENTS AND METHODS

Five hundred and ninety-five patients diagnosed with locally advanced or metastatic adenocarcinoma of the pancreas were enrolled. Cut-off Finder was used to calculate the best cut‑off value for baseline CRP/Alb. The primary endpoint was overall survival, which was analyzed by Kaplan-Meier survival curves with 95% confidence intervals. The log rank test and Cox proportional hazard model were used to evaluate the univariate and multivariate analyses.

RESULTS

The optimal cut-off value for baseline CRP/Alb was determined to be 0.18. Both the baseline CRP/Alb (CRP/Alb≥0.18 vs. CRP/Alb<0.18, hazard ratio [HR] = 2.506; p<0.001) and postchemotherapy CRP/Alb (CRP/Alb≥0.18 vs. CRP/Alb<0.18, HR = 1.854; p =0.002) were significant predictors of overall survival according to multivariate analysis and were independent of other factors. Patients with a baseline and postchemotherapy CRP/Alb ≥0.18 had the worst prognosis.

CONCLUSION

CRP/Alb is a strong and useful indicator of prognosis for advanced pancreatic cancer. Both baseline and postchemotherapy CRP/Alb can be used in predicting the survival of patients and monitoring the effectiveness of chemotherapy in clinical practice.

Prognostic Value of Pretreatment Lymphocyte-to-Monocyte Ratio in Non-Small Cell Lung Cancer: A Meta-Analysis

Past evidence has shown that lymphocyte-to-monocyte ratio (LMR) could be considered as a potential prognostic factor in non-small cell lung cancer (NSCLC). We conducted the current meta-analysis based on published studies to elucidate the prognostic value of pretreatment LMR on survival outcomes in NSCLC. Comprehensive searches of available electronic databases were implemented to identify potentially related studies that focused on the role of pretreatment LMR in predicting the prognosis of NSCLC patients. The hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to assess the association of pretreatment LMR with overall survival (OS) and progression-free survival (PFS). A total of 20 articles including 8,304 patients were analyzed. Compared with patients with higher LMR, patients with lower LMR had poorer OS (HR = 1.63, 95% CI: 1.44-1.85, p < 0.001) and PFS (HR = 1.49, 95% CI: 1.25-1.77, p < 0.001). The subgroup analysis outcomes were similar to the overall analysis. Pretreatment LMR may be a useful prognostic marker in patients with NSCLC. However, more well-designed studies are warranted to confirm our findings.

Pretreatment albumin/fibrinogen ratio as a promising predictor for the survival of advanced non small-cell lung cancer patients undergoing first-line platinum-based chemotherapy

BACKGROUND

This study aimed to identify potential predictive factors for the survival of advanced non small-cell lung cancer (NSCLC) patients undergoing first-line platinum-based chemotherapy.

METHODS

A total of 270 advanced NSCLC patients who underwent first-line platinum-based chemotherapy from June, 2011 to June, 2015 were enrolled. A receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of the albumin-to-fibrinogen ratio (AFR) for overall survival (OS). The predictive factors for survival were evaluated by univariate and multivariate analyses via the Cox proportional hazards regression model. The OS and progression free survival (PFS) results were determined via the Kaplan-Meier method using the log-rank analysis.

RESULTS

Based on the results of the ROC curve analysis, 8.02 was accepted as the cut-off AFR value for OS. The metastasis stage (M0 vs M1a/b, HR: 1.73, 95% CI: 1.15-2.59, P = 0.020) and AFR (≤8.02 vs > 8.02, HR: 1.80, 95% CI: 1.09-2.78, P = 0.025) were two independent risk factors for PFS by multivariate Cox regression analysis. The AFR (≤8.02 vs > 8.02, HR: 1.79, 95% CI: 1.11-2.59, P = 0.029) was a significant predictive factor for OS in advanced NSCLC patients. The PFS (P = 0.008) and OS (P = 0.003) in the high AFR group were significantly improved compared with those in the low AFR group via the Kaplan-Meier method using the log-rank analysis.

CONCLUSIONS

The AFR could be a potential effective predictive factor for the survival in advanced NSCLC patients undergoing first-line platinum-based chemotherapy.