Using the Controlling Nutritional Status (CONUT) Score for Evaluating Patients with Early-Stage Hepatocellular Carcinoma After Radiofrequency Ablation: A Two-Center Retrospective Study

Controlling Nutritional Status (CONUT) Score is Associated with Overall Survival in Patients with Hepatocellular Carcinoma Treated with Conventional Transcatheter Arterial Chemoembolization: A Propensity Score Matched Analysis

PURPOSE

This study aims to evaluate the prognostic value of controlling nutritional status (CONUT) score in determining the prognosis of patients with hepatocellular carcinoma (HCC) treated with conventional transcatheter arterial chemoembolization (cTACE).

METHODS

This study retrospectively analyzed 936 patients who underwent cTACE for HCC between January 2012 and December 2018, and divided them into two groups based on their CONUT score. To balance the bias in baseline characteristics, propensity score matched (PSM) analysis was conducted. The Kaplan-Meier method was used to establish a cumulative survival curve, and the log-rank test was employed to determine differences in overall survival (OS) and progression-free survival (PFS) among the CONUT score groups. Furthermore, the Cox proportional hazard model was employed to assess the correlation between CONUT score and OS and PFS, whereby hazard ratios (HRs) and 95% confidence intervals (95% CIs) were computed.

RESULTS

Before PSM, the median OS for the low (≤ 3) and high (≥ 4) CONUT group (558 vs. 378 patients) was 21.7 and 15.6 months, respectively, and the median PFS was 5.7 and 5 months. Following PSM, both the low and high CONUT score groups comprised 142 patients. The low CONUT score group exhibited a significantly longer OS compared to the high CONUT score group, as determined by the log-rank test (median OS 22.2 vs. 17.0 months, P = 0.014). No significant association was observed between CONUT group and PFS (median PFS 6.4 vs. 4.7 months, log-rank test, P = 0.121). Cox proportional hazard regression analysis revealed that a CONUT score of ≥ 4 was an independent risk factor for OS in patients with HCC who underwent cTACE (HR = 1.361; 95% CI: 1.047-1.771; P = 0.022). These findings were consistent across most subgroup analyses.

CONCLUSION

A high CONUT score has been found to be a prognostic factor for poorer OS in patients with HCC who underwent cTACE.

LEVEL OF EVIDENCE

Level 3, Non-randomized controlled cohort.

Nomograms including the controlling nutritional status score in patients with hepatocellular carcinoma undergoing transarterial chemoembolisation for prediction survival: a retrospective analysis

This retrospective study investigated the predictive value of the Controlling Nutritional Status (CONUT) score in patients with intermediate-stage hepatocellular carcinoma (HCC) who received transarterial chemoembolization (TACE). Nomograms were developed to predict progression-free and overall survival (PFS, OS). The medical data of 228 patients with HCC and treated with TACE were collected. The patients were apportioned to 2 groups according to CONUT score: low or high (<4, ≥4). Univariate and multivariate analyses were performed using Cox regression for OS and PFS. OS and PFS were estimated by the Kaplan-Meier curve and compared with the log-rank test. Nomograms were constructed to predict patient OS and PFS. The nomograms were evaluated for accuracy, discrimination, and efficiency. The cut-off value of CONUT score was 4. The higher the CONUT score, the worse the survival; Kaplan-Meier curves showed significant differences in OS and PFS between the low and high CONUT score groups (P = 0·033, 0·047). The nomograms including CONUT, based on the prognostic factors determined by the univariate and multivariate analyses, to predict survival in HCC after TACE were generated. The CONUT score is an important prognostic factor for both OS and PFS for patients with intermediate HCC who underwent TACE. The cut-off value of the CONUT score was 4. A high CONUT score suggests poor survival outcomes. Nomograms generated based on the CONUT score were good models to predict patient OS and PFS.

Prediction Model and Nomogram of Early Recurrence of Hepatocellular Carcinoma after Radiofrequency Ablation Based on Logistic Regression Analysis

The purpose of this study was to screen for high-risk factors leading to the early recurrence of hepatocellular carcinoma (HCC) after radiofrequency ablation (RFA) and to construct a prediction model and nomogram. This retrospective study included 108 patients with primary HCC who underwent RFA treatment at the Harbin Medical University Cancer Hospital between January 2018 and June 2019. Four risk factors were screened for using univariate and multivariate logistic regression analyses: number of tumors (hazard ratio [HR] = 14.684, 95% confidence interval [CI]: 1.099-196.215, p = 0.042), neutrophil-to-lymphocyte ratio (NLR) (HR = 2.178, 95% CI: 1.003-4.730, p = 0.049), contrast-enhanced ultrasound (CEUS) performance (HR = 6.482, 95% CI: 1.161-36.184, p = 0.033) and α-fetoprotein (AFP) level (HR = 1.001, 95% CI: 1.000-1.003, p = 0.040). We established a prediction model: Logit(p) = -3.096 + 2.827 × (number of tumors >1 = 1) + 1.851 × (CEUS revealing rapid enhancement of blood flow signal in the arterial phase and clearance in the portal phase = 1) + 1.941 × (NLR >1.55 = 1) + 0.257 × (AFP >32.545 = 1). Through clinical decision curve analysis, the model's threshold was 0.043-0.873, indicating a high clinical value. Patients with a high AFP level, typical CEUS enhancement pattern, multiple tumors and elevated NLR are more likely to relapse early.

The Controlling Nutritional Status (CONUT) Score and Prognosis in Malignant Tumors: A Systematic Review and Meta-Analysis

Increasing evidences indicate that the controlling nutritional status (CONUT) score is associated with cancer prognosis. This study was conducted to investigate the prognostic significance of pretreatment CONUT score on patients with various malignant tumors. The correlation between CONUT score and clinical outcomes of tumor patients were studied by electronic literature retrieval. Pooled hazard ratios (HR), odds ratios (OR) and 95% confidence intervals (95% CI) were calculated to clarify the conclusion. Subgroup analysis were conducted in line with cancer type, cancer stage, treatment, sample size and cut-off value. A total of 62 studies involving 25224 patients were included in this study. Pooled analysis showed that higher CONUT scores were associated with shorter overall survival (HR 1.62, 95% CI 1.45-1.79, p < 0.001), cancer-specific survival (HR 1.80, 95% CI 1.48-2.13, p < 0.001), progress/recurrence-free survival (HR 1.54, 95% CI 1.23-1.85, p < 0.001) and disease-free survival (HR 1.56, 95% CI 1.39-1.74, p < 0.001). In addition, high CONUT score was correlated to higher incidence of postoperative complications (OR 1.64, 95% CI 1.38-1.95, p < 0.001) and mortality (OR 4.22, 95% CI 2.22-8.02, p < 0.001). Consequently, the pretreatment CONUT score is a valuable indicator to predict the clinical outcomes of patients with various malignant tumors.

The value of the controlling nutritional status score in predicting the prognosis of patients with lung cancer: A multicenter, retrospective study

BACKGROUND

The body's immune-nutritional status affects prognosis in patients with lung cancer. The Controlling Nutritional Status (CONUT) score is an immune-nutrition-related index associated with prognosis in other tumors. We aimed to assess the value of CONUT in predicting prognosis in patients with lung cancer.

METHODS

In this retrospective multicenter study, 1,339 patients with lung cancer were divided into low- and high-CONUT score groups. The relationship between CONUT scores and overall survival (OS) was assessed by survival curves and Cox's proportional hazards regression modelling. A nomogram including CONUT and other clinical variables was established.

RESULTS

There were 659 (49.2%; mean age 59.91 years) low- and 680 (50.8%; mean age 62.23 years) high-CONUT score patients. OS was significantly worse in patients with high than in those with low CONUT scores (P < 0.001), even after stratification by pathological types (non-small-cell lung cancer and small-cell lung cancer) and Tumor-Node-Metastasis (TNM) stages. A high CONUT score independently predicted risk in patients with lung cancer (adjusted hazard ratio: 1.48, 95% confidence interval: 1.26-1.73; P < 0.001). The CONUT-based nomogram could predict prognosis well (C-index: 0.701), with better resolution and accuracy than TNM staging for predicting OS at 1, 2, and 3 years (Area under the ROC curve: 0.735 vs. 0.678; 0.742 vs. 0.696; and 0.768 vs. 0.743).

CONCLUSION

The CONUT score can predict prognosis in patients with lung cancer. A CONUT-based nomogram can improve the accuracy of survival prediction in such patients. This article is protected by copyright. All rights reserved.

Development and validation of prognostic nomograms in patients with hepatocellular carcinoma: a population-based study

Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. The existing staging system has a limited budget capacity for HCC recurrence. The authors aimed to establish and verify two nomogram models to predict disease-free survival (DFS) and overall survival (OS) in patients with HCC. Methods: Patients diagnosed with HCC between August 2011 and March 2016 were recruited. Data were randomly divided into a training cohort and a validation cohort. Based on univariate and multivariate Cox regression analysis, independent risk factors for DFS and OS were identified, and two nomogram models were established to predict patient survival. Results: Sex, tumor size, Barcelona Clinic Liver Cancer (BCLC) stage, tumor capsule, macrovascular invasion, AST-to-platelet ratio index, AST-to-lymphocyte ratio index, neutrophil-lymphocyte ratio and alpha-fetoprotein (AFP) were used to build the nomogram for DFS, while age, tumor size, BCLC stage, tumor capsule, macrovascular invasion, systemic immune-inflammation index, AST, total bilirubin and AFP were used to build the nomogram for OS. Calibration curves showed good agreement between the nomogram prediction and actual observation. C-indices in both nomograms were significantly higher than BCLC. Conclusion: The two nomograms improved the accuracy of individualized prediction of DFS and OS, which may help doctors screen patients with a high risk of recurrence to formulate individualized treatment plans.

Comparation of different malnutrition screening tools according to GLIM criteria in cancer outpatients

BACKGROUND

Many studies have assessed different malnutrition screening tools in oncologic patients. However, very few have been carried out using the new GLIM criteria for malnutrition. The objective of our study is to compare the most recommended screening tools with respect to the new GLIM criteria for malnutrition in cancer patients.

METHODS

Observational, cross-sectional, and single-center study carried out at the Medical Oncology Department at the Lozano Blesa Hospital in Zaragoza. We recruited 165 patients with tumors of the upper-gastrointestinal-tract, colorectal, and head-and-neck region undergoing outpatient treatment. All of them received MST, MUST, Nutriscore, MNA and CONUT screening tools, as well as the GLIM diagnostic criteria, which was used as the gold standard.

RESULTS

MNA-SF showed the best sensitivity (0.99) and lowest specificity while CONUT had the best specificity (0.89) and lowest sensitivity to detect cancer-related malnutrition. We observed high variability in the diagnostic capabilities of Nutriscore when tumor location was considered, reducing sensitivity in patients with colorectal cancer compared to those with tumors of the upper-gastrointestinal-tract or head-and-neck location (0.25, 0.83, and 0.91 respectively). The highest index of agreement between the screening tools was found between MST, MUST and Nutriscore tests. Regarding the GLIM criteria, the highest agreement index was presented by MUST tool (0.66), while CONUT presented the lowest (0.12).

CONCLUSIONS

Selecting the screening tool according to the type of cancer and its location may allow us to optimize its use and increase its performance, exploiting the advantages of each of them in the different populations.

Early recurrence after radiofrequency ablation for hepatocellular carcinoma: a multicenter retrospective study on definition, patterns and risk factors

OBJECTIVE

To define an optimal cutoff time to distinguish early and late recurrence in hepatocellular carcinoma (HCC) patients after radiofrequency ablation (RFA), and to determine the risk factors and patterns of early recurrence.

MATERIALS AND METHODS

This retrospective study included HCC patients who developed recurrence after RFA as the primary therapy at three Chinese hospitals from January 2011 to December 2016. The best cutoff time to define early and late recurrence was determined based on differences in post recurrence survival (PRS). The clinical variables were assessed by univariate and multivariate logistic regression analyses.

RESULTS

A total of 279 eligible patients were included. The optimal cutoff time interval after RFA to differentiate early and late recurrence was identified as 12 months (p = 0.029). The independent risk factors of early recurrence were multiple tumors, alpha fetoprotein (AFP) levels, gamma-glutamyl transferase (γ-GT), and serum albumin (ALB) levels. A well-discriminated nomogram was constructed to predict risk of early recurrence. The incidence of intrahepatic distant recurrence (IDR) alone and IDR + extrahepatic recurrence (ER) in early recurrence group was significantly higher than those in late recurrence group (80.73% vs. 66.47%, p = 0.009).

CONCLUSION

Twelve months was determined as the optimal cutoff time for differentiating early and late recurrence after RFA for HCC patients. The factors affecting early recurrence after RFA were multiple tumors, AFP levels, ALB level, and γ-GT level. Patients in early recurrence cohort were more likely to develop IDR alone or IDR + ER.

Immunonutritive Scoring in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Prognostic Nutritional Index or Controlling Nutritional Status Score?

OBJECTIVES

The Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score are immunonutritive scoring systems with proven predictive ability in various cancer entities, including hepatocellular carcinoma (HCC). We performed the first evaluation of the CONUT score for patients undergoing transarterial chemoembolization (TACE) and compared CONUT and PNI in the ability to predict median overall survival (OS).

METHODS

Between 2010 and 2020, we retrospectively identified 237 treatment-naïve patients with HCC who underwent initial TACE at our institution. Both scores include the albumin level and total lymphocyte count. The CONUT additionally includes the cholesterol level. Both scores were compared in univariate and multivariate regression analyses taking into account established risk factors. In a second step, a subgroup analysis was performed on BCLC stage B patients, for whom TACE is the recommended first-line treatment.

RESULTS

A high CONUT score and low PNI were associated with impaired median OS (8.7 vs. 22.3 months, p<0.001 and 6.8 vs. 20.1 months, p<0.001, respectively). In multivariate analysis, only the PNI remained an independent prognostic predictor (p=0.003), whereas the CONUT score lost its predictive ability (p=0.201). In the subgroup of recommended TACE candidates, both CONUT and PNI were able to stratify patients according to their median OS (6.6 vs. 17.9 months, p<0.001 and 10.3 vs. 22.0 months, p<0.001, respectively). Again, in the multivariate analysis, only the PNI remained an independent prognostic factor (p=0.012).

CONCLUSION

Both scores were able to stratify patients according to their median OS, but only the PNI remained an independent prognostic factor. Therefore, PNI should be preferred when evaluating the nutritional status of patients undergoing TACE.

Late recurrence of hepatocellular carcinoma after radiofrequency ablation: a multicenter study of risk factors, patterns, and survival

OBJECTIVE

This study aims to determine the risk factors, patterns, and long-term survival outcomes of late recurrence after radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC) within the Milan criteria and develop a nomogram to predict the recurrence-free survival (RFS).

MATERIALS AND METHODS

This retrospective study included patients with HCC within the Milan criteria, who received RFA at three hospitals in China from January 2011 to December 2016. The clinical variables were assessed by univariate and multivariate Cox regression analyses.

RESULTS

A total of 398 patients were included. The median follow-up was 58.7 months (range: 24.1-96.0). Ninety-eight patients had late recurrence. Furthermore, 14 patients (14.29%) had local tumor progression (LTP) alone, 43 patients (43.88%) had intrahepatic distant recurrence (IDR) alone, 15 patients (15.31%) had extrahepatic recurrence (ER) alone, three patients (3.06%) had both LTP and IDR, six patients (6.12%) had both LTP and ER, and 17 patients (17.35%) had both IDR and ER. Patients without late recurrence had better long-term overall survival (OS) compared to those with late recurrence (p < 0.001). Male gender, multiple tumors, and cirrhosis were the independent risk factors of late recurrence. A well-discriminated and calibrated nomogram was constructed to predict the probability of RFS.

CONCLUSION

Male gender, multiple tumors, and cirrhosis are the independent risk factors of late recurrence after RFA for HCC within the Milan criteria. Late recurrence might mainly occur from de novo HCC under the background of cirrhosis. An individualized surveillance and prevention strategy for HCC patients after RFA should be developed.

KEY POINTS

• In the present retrospective study of 398 patients, male gender, multiple tumors, and cirrhosis were the independent risk factors of late recurrence (> 2 years) of HCC after RFA. • The most common pattern of late recurrence was intrahepatic distant recurrence alone (n = 43, 43.88%). Late recurrence might mainly occur from de novo HCC under the background of cirrhosis. • A prognostic nomogram was built to predict the individualized recurrence-free survival after RFA, which achieved good calibration and discriminatory ability with a concordance index of 0.763.

Prognostic significance of controlling nutritional status score-based nomogram for hepatocellular carcinoma within Milan criteria after radiofrequency ablation

Background

Radiofrequency ablation (RFA) is a curative therapy for hepatocellular carcinoma (HCC) within Milan criteria. This study was conducted to evaluate the association between controlling nutritional status (CONUT) score and oncological outcomes in HCC patients within Milan criteria after RFA. Nomograms were constructed for the prediction of prognosis.

Methods

The study included 403 HCC patients within Milan criteria who underwent RFA at National Cancer Center and the First Hospital of Shanxi Medical University from January 2010 to December 2014. Oncological outcomes included disease-free survival (DFS) and overall survival (OS). The clinical variables were assessed by univariate and multivariate Cox regression analyses. C-index, time-dependent receiver operating characteristic (t-ROC) curve (t-AUC) and calibration plots were used to evaluate discrimination and calibration of the nomograms.

Results

Patients were divided into CONUT ≤4 and ≥5 groups. The common prognostic factors affecting DFS and OS were number of lesions, tumor differentiation, and CONUT score. Age and total bilirubin (TBIL) were prognostic factors for OS only. Both DFS and OS rates in CONUT ≤4 group were significantly higher than those in CONUT ≥5 group (P=0.033, P<0.001). Two well-discriminated and calibrated nomograms were constructed to predict the probability of 1-, 2-, and 3-year DFS and 1-, 2-, 3-, 5-year OS with C-indexes of 0.798 and 0.757, respectively.

Conclusions

CONUT score is an independent prognostic factor for HCC after RFA treatment and a reliable indicator for nutritional interventions. Higher CONUT scores were associated with poor oncological outcomes. Nomograms based on CONUT score could efficiently predict DFS and OS for HCC patients within Milan criteria after RFA.