Clinical Significance of C-Reactive Protein to Albumin Ratio in Patients with Hepatocellular Carcinoma: A Meta-Analysis.Dis Markers. 2020;2020:4867974. [PMID: 32963635 DOI: 10.1155/2020/4867974]

High C-Reactive Protein/ Albumin Ratio Predicts Mortality and Hemorrhage in Stroke Patients Undergoing Mechanical Thrombectomy: A Systematic Review and Meta-Analysis

BACKGROUND

Stroke outcomes are multifactorial, and the C-Reactive Protein to Albumin Ratio (CAR) has emerged as a potential prognostic marker. This study aims to evaluate CAR prognostic significance in stroke.

METHODS

Systematic searches across ScienceDirect, Medline, and Cochrane databases identified longitudinal studies. Unfavorable outcomes, including poor prognosis (modified rankin scale> 2), mortality, and severe complications like hemorrhage or restenosis, were considered. Analyses for unfavorable outcomes were conducted based on prior intervention, stroke type, and outcome type.

RESULTS

The meta-analysis included 12 cohort studies comprising 5042 participants. Elevated CAR (OR: 1.72; 95% confidence interval [CI]: 1.17-2.52; P = 0.01) and CRP (OR: 1.91; 95% CI: 1.31-2.77; P < 0.001) levels on admission were associated with unfavorable outcomes; no such association was observed for albumin (OR: 0.66; 95%CI: 0.24-1.80; P = 0.42). Elevated CAR levels were associated with unfavorable outcomes in patients undergoing mechanical thrombectomy (odds ratio [OR]: 2.70; 95% CI: 1.14-6.38; P < 0.02) and those with ischemic stroke (OR: 1.99; 95% CI: 1.24-3.18; P < 0.001), but no significant association was found in patients with hemorrhagic stroke. Furthermore, concerning specific outcomes, high CAR levels were associated with mortality (OR: 1.71; 95% CI: 1.00-2.95; P = 0.05) and hemorrhage (OR: 6.02; 95% CI: 1.61-23.87; P = 0.05). The area under the curve for CAR was 0.72 (0.68-0.76), with a sensitivity of 0.61 (0.49-0.71) and specificity of 0.73 (0.64-0.81).

CONCLUSIONS

Elevated CAR emerges as an effective marker in assessing unfavorable outcomes in stroke patients with moderately high sensitivity and specificity. High CAR levels exhibited statistically significant mortality and hemorrhage in stroke patients undergoing mechanical thrombectomy.

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.

Prognostic value of a nomogram model for postoperative liver metastasis of colon cancer

BACKGROUND

Colon cancer is one of the most common malignant tumors of the digestive system. Liver metastasis after colon cancer surgery is the primary cause of death in patients with colon cancer.

AIM

To construct a novel nomogram model including various factors to predict liver metastasis after colon cancer surgery.

METHODS

We retrospectively analyzed 242 patients with colon cancer who were admitted and underwent radical resection for colon cancer in Zhejiang Provincial People's Hospital from December 2019 to December 2022. Patients were divided into liver metastasis and non-liver metastasis groups. Sex, age, and other general and clinicopathological data (preoperative blood routine and biochemical test indexes) were compared. The risk factors for liver metastasis were analyzed using single-factor and multifactorial logistic regression. A predictive model was then constructed and evaluated for efficacy.

RESULTS

Systemic inflammatory index (SII), C-reactive protein/albumin ratio (CAR), red blood cell distribution width (RDW), alanine aminotransferase, preoperative carcinoembryonic antigen level, and lymphatic metastasis were different between groups (P < 0.05). SII, CAR, and RDW were risk factors for liver metastasis after colon cancer surgery (P < 0.05). The area under the curve was 0.93 for the column-line diagram prediction model constructed based on these risk factors to distinguish whether liver metastasis occurred postoperatively. The actual curve of the column-line diagram predicting the risk of postoperative liver metastasis was close to the ideal curve, with good agreement. The prediction model curves in the decision curve analysis showed higher net benefits for a larger threshold range than those in extreme cases, indicating that the model is safer.

CONCLUSION

Liver metastases after colorectal cancer surgery could be well predicted by a nomogram based on the SII, CAR, and RDW.

Association Between C-Reactive Protein and Albumin Ratios and Risk of Mortality in Patients with Chronic Obstructive Pulmonary Disease

Purpose

This study was to evaluate the association between C-reactive protein (CRP) to albumin (ALB) ratio (CAR) and the risk of mortality in patients with chronic obstructive pulmonary disease (COPD).

Methods

In this retrospective cohort study, clinical data were extracted from the National Institutes of Health National Health and Nutrition Examination Survey (NHANES) database between 2007 and 2010. Cox proportional hazard regressions were performed to assess the association between CAR and 5-year mortality in COPD patients. Subgroup analyses were applied to identify the consistency of the association based on the severity of COPD, gender, body mass index (BMI), smoking status, cardiovascular disease (CVD), and chronic kidney disease (CKD), and diabetes. The area under the curve (AUC) of the receiver operator characteristic (ROC) curve analysis was used to evaluate the predictive performance of CAR.

Results

A total of 1210 COPD patients were included, of which 110 COPD patients (9.09%) had 5-year mortality. The mean follow-up was 57.76 (0.33) months. A higher CAR was associated with an increased risk of 5-year mortality in COPD patients [hazard ratio (HR): 1.94, 95% confidence interval (CI): 1.07 to 3.50, P =0.029)]. Subgroup analysis showed that the association between CAR and mortality was especially suitable for COPD patients with mild COPD, in COPD patients who were still smoking, in COPD patients with BMI <=29.9 kg/m2, in COPD patients who were without CVD, in COPD patients who were without diabetes, and COPD patients who were without CKD. The AUCs of CAR for predicting 1-year, 3-year, and 5-year mortality in COPD patients were 0.735, 0.615, and 0.608, respectively.

Conclusion

CAR is strongly correlated with mortality in patients with COPD and CAR could be served as a prognostic biomarker for patients with COPD. This study may provide a promising prognostic biomarker for risk stratification and clinical management of patients with COPD.

Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review

This review assesses how publications interpret factors that influence the serum or plasma albumin (PA) level in prognostic indices, focusing on inflammation and nutrition. On PubMed, a search for "albumin AND prognosis" yielded 23,919 results. From these records, prognostic indices were retrieved, and their names were used as search strings on PubMed. Indices found in 10 or more original research articles were included. The same search strings, restricted to "Review" or "Systematic review", retrieved yielded on the indices. The data comprised the 10 latest original research articles and up to 10 of the latest reviews. Thirty indices had 294 original research articles (6 covering two indices) and 131 reviews, most of which were from recent years. A total of 106 articles related the PA level to inflammation, and 136 related the PA level to nutrition. For the reviews, the equivalent numbers were 54 and 65. In conclusion, more publications mention the PA level as a marker of nutrition rather than inflammation. This is in contrast to several general reviews on albumin and nutritional guidelines, which state that the PA level is a marker of inflammation but not nutrition. Hypoalbuminemia should prompt clinicians to focus on the inflammatory aspects in their patients.

High levels of C-reactive protein-to-albumin ratio (CAR) are associated with a poor prognosis in patients with severe fever with thrombocytopenia syndrome in early stage

C-reactive protein-to-albumin ratio (CAR) can be used to assess the prognosis of various diseases. This study aimed to evaluate the relationship between CAR on the prognosis of patients with severe fever with thrombocytopenia syndrome (SFTS). This study included 155 SFTS patients from the Public Health Clinical Center of Dalian from January to December 2021. They were divided into survival and deceased groups based on the clinical prognosis. The independent risk factors for poor prognosis of SFTS patients at an early stage were determined by Cox regression. The efficacy of CAR prediction was assessed by the receiver operating characteristic (ROC) curve. A total of 155 patients were included in this study, with an average age of 61.98± 11.70 years, including 77 males and 65 females. The mortality rate of the patients enrolled in this study was 14.19%. Multivariate Cox regression indicated that CAR (hazard ratio = 2.585, 95% confidence interval [CI] 1.405-4.753, p = 0.002) could be an independent predictor for prognosis in SFTS patients at an early stage. CAR had an AUC of 0.781 (95% CI, 0.665-0.898, p = 0.000), a cutoff value of 0.57, a sensitivity of 0.77, and a specificity of 0.80, with better predictive efficacy, compared to neutrophil-to-lymphocyte ratio (NLR). High levels of CAR are associated with poor prognosis in SFTS patients, and CAR can be used as an independent predictor for SFTS patients.

C-reactive protein-to-albumin ratio is a predictor of 1-year mortality following liver transplantation

BACKGROUND

Considering the importance of the inflammatory status of recipients on outcomes following liver transplantation (LT), we investigated the association between C-reactive protein-to-albumin ratio (CAR) and one-year mortality following LT and compared it with other parameters reflecting patients' underlying inflammatory status.

METHODS

A total of 3,614 consecutive adult LT recipients were retrospectively evaluated. Prognostic parameters were analyzed using area under the receiver operating characteristic curve (AUROC) analysis, and subsequent cutoffs were derived. For survival analysis, Cox proportional hazards and Kaplan-Meier analyses were performed.

RESULTS

The AUROC for CAR to predict one-year mortality after LT was 0.68 (0.65-0.72), which was the highest compared with other inflammatory parameters, with the best cutoff of 0.34. A CAR ≥ 0.34 was associated with a significantly higher one-year mortality rate (13.3% vs. 5.8 %, log-rank P < 0.001) and overall mortality rate (24.5% vs. 12.9%, log-rank P = 0.039). A CAR ≥ 0.34 was an independent predictor of one-year mortality (hazard ratio, 1.40 [1.03-1.90], P = 0.031) and overall mortality (hazard ratio 1.39 [1.13-1.71], P = 0.002) after multivariable adjustment.

CONCLUSIONS

Preoperative CAR (≥ 0.34) was independently associated with a higher risk of one-year and overall mortality after LT. This may suggest that CAR, a simple and readily available biomarker, maybe a practical index that may assist in the risk stratification of liver transplantation outcomes.

The C-Reactive Protein to Albumin Ratio Is an Independent Prognostic Factor in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: A Large Cohort Study

BACKGROUND

This study aimed to investigate the prognostic value of C-reactive protein to albumin ratio (CAR) in hepatocellular carcinoma (HCC) patients after transcatheter chemoembolization (TACE).

METHODS

Totally, 958 HCC patients with Barcelona Clinic Liver Cancer (BCLC) stage B were incorporated into the secondary analysis. X-Tile software was applied to determine the optimal cutoff point for CAR, and the total patients were divided into two groups. Cox proportional hazard regression models and Kaplan-Meier analyses were used to estimate the relationship between CAR and overall survival (OS). Stratified analyses were performed to evaluate the prognostic role of CAR in subgroups of major confounding factors, such as alpha-fetoprotein (AFP), diameter of the main tumor, Glasgow prognostic score (GPS) and modified GPS (mGPS).

RESULTS

The optimal cutoff level for the CAR was 0.06. There was a direct correlation between an elevated CAR (≥ 0.06) and shorter OS after adjustment (HR:1.580; 95%CI:1.193-2.092). Kaplan-Meier analysis and log-rank test showed a significant difference in OS curves between the two groups (P < 0.001). CAR showed the distinct value of prognostic stratification in most subgroups, especially in the subgroup of GPS-0 (HR:1.966; 95%CI:1.453-2.660), mGPS-0 (HR:1.984; 95%CI:1.509-2.608) and AFP ≤ 400 ng/ml (HR:1.925; 95%CI:1.393-2.659).

CONCLUSION

The CAR was one of the prognostic factors for HCC patients undergoing TACE treatment. CAR could also provide further prognostic stratification for HCC patients who appear to have a good prognosis, such as patients with AFP-negative, GPS-0 or mGPS-0 to identify patients at a higher risk of death for closer follow-up or more aggressive treatment.

LEVEL OF EVIDENCE

Level 3, Cohort Study.

A comprehensive analysis of Glasgow Prognostic Score (GPS)/the modified Glasgow Prognostic Score (mGPS) on immune checkpoint inhibitor efficacy among patients with advanced cancer

BACKGROUND

The association between Glasgow Prognostic Score (GPS) and the modified Glasgow Prognostic Score (mGPS) and clinical outcomes in patients receiving immune checkpoint inhibitors (ICIs) remains controversial. Thus, this meta-analysis aimed to examine the prognostic performance of GPS and mGPS in patients treated with ICIs.

METHODS

Eligible studies were retrieved from searches of EMBASE, PubMed, Web of Science, and Cochrane Library until July 2021. The hazard ratio (HR) and 95% confidence intervals (CIs) were pooled by using fixed-effect or random-effects model to evaluate the influence of GPS/mGPS on overall survival (OS) and progression-free survival (PFS).

RESULTS

A total of 1164 patients were included. Overall, mGPS score of 2 and 1 were related to inferior OS (p < 0.001) and PFS (p < 0.001). Subgroup analyses showed no significant association between mGPS score of 1 and OS in patients with non-small cell lung cancer (NSCLC), while this score was significantly associated with poor PFS in patients with NSCLC and head and neck squamous cell carcinoma. Higher GPS (score of 1 or 2) were associated with poor clinical outcomes (OS: p < 0.001; PFS: p = 0.036). Subgroup analysis showed high GPS levels were linked to worse OS in patients with NSCLC and gastric cancer, but not for PFS in these patients. Regarding test time point, GPS was related to worse OS and PFS in pre-treatment GPS group, but not in post-treatment GPS group.

CONCLUSION

GPS and mGPS showed great potential to predict survival in patients treated with ICIs. Large and perspective trial are warranted to further validate these findings.

C-reactive protein to albumin ratio (CAR) in predicting surgical site infection (SSI) following instrumented posterior lumbar interbody fusion (PLIF)

Identification of novel markers would contribute to the individualised risk assessment and development of a risk prediction model. This study aimed to investigate the role of the C-reactive protein to albumin ratio (CAR) in predicting surgical site infection (SSI) following instrumented posterior lumbar interbody fusion (PLIF) of lumbar degenerative diseases. This study enrolled patients who underwent PLIF and instrumentation for treatment of lumbar degenerative diseases between 2015 and 2020. Electronic medical records were inquired for data collection, with follow-up register for identifying SSI cases. The optimal cut-off for CAR was determined by constructing the receiver operator characteristic (ROC) curve. Patients with high- or low-CAR value were compared using the univariate analyses, and the association between CAR and the risk of SSI was investigated using multivariate logistics regression analysis. A total of 905 patients were enrolled, twenty-nine (3.2%) had developed an SSI with 72.4% occurring during index hospitalisation, and 11 (1.2%) had deep and 18 (2.0%) superficial SSIs. An SSI was associated with additional 10.7 days of index total hospital stay (P = .001). The CAR was 0-5.43 (median, 0.05), and the optimal cut-off was 0.09 and area under the curve was 0.720 (P < .001). 336 (37.1%) patients had a CAR ≥0.09 and 22 (6.5%) developed an SSI, with a crude risk of 5.6 relative to those with a low CAR. The multivariate analyses showed CAR ≥0.09 was associated with 8.06-fold increased risk of SSI, together with diabetes (P = .018), while hypertension was identified as a protective factor (OR, 0.34; 95%CI, 0.11-1.00, P = .049). High CAR is found to significantly predict the incident SSI following instrumented PLIF of lumbar degenerative diseases, and can be considered as a useful index in practice only after it is verified by future high-level evidences.

Predictive value of preoperative C-reactive protein/serum albumin ratio and gamma-glutamyl transpeptidase for early recurrence in patients with hepatocellular carcinoma after resection

BACKGROUND

In recent years, some studies have reported that increased C-reactive protein/serum albumin ratio (CRP/Alb) and gamma-glutamyl transpeptidase (GGT) predict a poor prognosis in hepatocellular carcinoma (HCC) after treatment; however, there are few studies on their predictive value for the prognosis after HCC resection.

AIM

To evaluate the predictive value of preoperative CRP/Alb and GGT for early recurrence in patients with HCC after resection.

METHODS

A retrospective analysis was performed on the clinical data of 80 initially treated patients who were pathologically confirmed as having hepatocellular carcinoma after radical resection at our hospital from January 1, 2016 to January 20, 2019 and then followed for the prognosis. The patients were divided into either an early recurrence group or a non-early recurrence group based on the presence of recurrence in 2 years or not. The χ² test was used for univariate analysis, and Cox proportional hazards model was used for multivariate analysis. The tumor-free survival curves of independent risk factors were plotted using the Kaplan-Meier method, and log-rank method was used to compare their difference.

RESULTS

The best cut-off values of CRP/Alb and GGT were 0.041 and 75.5 U/L, respectively, according to the results of ROC curve analysis. The recurrence-free survival rates within 1 and 2 years were 70% and 56.25%, respectively, in this group of patients. Univariate analysis showed that microvascular invasion (MVI), CRP/Alb, and GGT were risk factors for early recurrence in patients with hepatocellular carcinoma after resection. Multivariate analysis showed that MVI and GGT were independent risk factors for early recurrence in patients with hepatocellular carcinoma after resection. The tumor-free survival time of HCC patients with MVI was significantly shorter than that of patients without (P ＜ 0.001). The tumor-free survival time in the GGT > 75.5 U/L group was significantly shorter than that of the GGT ≤ 75.5 U/L group (P = 0.001).

CONCLUSION

CRP/Alb, GGT, and MVI have potential predictive value for early tumor recurrence in patients with hepatocellular carcinoma after resection.

Novel mortality-predicting index at diagnosis can effectively predict all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis

Background

This study investigated whether the inflammation prognostic index (IPI) and the mortality predicting index (MPI) at diagnosis could predict all‐cause mortality in patients with antineutrophil cytoplasmic antibody (ANCA)‐associated vasculitis (AAV).

Methods

We included 223 AAV patients and reviewed their medical records. Clinical and laboratory data and AAV‐specific indices at diagnosis were assessed. The IPI was calculated as neutrophil‐to‐lymphocyte ratio (NLR) × C‐reactive protein to albumin ratio (CAR). Here, we newly developed an MPI (NLR × CAR × monocyte counts).

Results

The mean age of 223 patients (122 MPA, 57 GPA and 44 EGPA patients) was 59 years. The rate of mortality was 11.2%. Using the receiver operator characteristic curve for all‐cause mortality, the cut‐offs were calculated as NLR: 3.22, CAR: 3.25, IPI: 18.53 and MPI: 8367.82. In the univariable Cox hazard analysis, age, gender, smoking history, BVAS, FFS and over the cut‐off of each index showed statistical significance. As the indices share at least two mutual variables, the multivariable analysis was conducted four times based on each index. An IPI ≥18.53 (HR 3.162) and MPI ≥8367.82 (HR 3.356) were significantly associated with all‐cause mortality.

Conclusions

This study developed a novel indicator, MPI, that uses the existing NLR and CAR indices and proved that it could predict all‐cause mortality in AAV patients.