Prognostic value of preoperative controlling nutritional status in patients with glioblastoma

Integrating nutritional status and hematological biomarkers for enhanced prognosis prediction in glioma patients: A systematic review

PURPOSE

Multiple inflammatory and nutritional biomarkers have been established as independent prognostic factors across various solid tumors, but their role in outcomes prediction for glioma is still under investigation. Aim of the present systematic review is to report the available evidence regarding the impact of nutritional assessment and intervention for glioma prognosis and patients' quality of life (QoL).

MATERIALS AND METHODS

Our systematic review conformed to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The PubMed and EMBASE databases were searched to identify studies assessing the impact of nutritional status and intervention and hematological biomarkers on survival outcomes and quality of life in patients with newly diagnosed gliomas. In the search strategy Medical Subject Headings (MeSH) terms were used. Search terms included ("nutritional status" or "nutritional assessment" or "nutritional intervention") AND ("glioma" or "glioblastoma" or "high-grade glioma" or "low-grade glioma" or "anaplastic astrocytoma" or "anaplastic oligodendroglioma") AND ("prognosis" or "survival outcomes"). The quality of each study was investigated based on the Newcastle-Ottawa Scale (NOS) criteria. Selected papers were in English and included publications in humans. This study was registered on PROSPERO (Registration No. CRD42024555442).

RESULTS

Our search retrieved 20 papers published between 2015 and 2023, all aiming at investigating correlations between hematological biomarkers (albumin, prealbumin, fibrinogen) and/or nutritional tools (Controlling Nutritional Score, CONUT; Prognostic Nutritional Index, PNI) and survival outcomes and quality of life of glioma patients. Nutritional intervention as well was evaluated for outcomes prediction. Overall, most papers contributed to the evidence of how nutritional assessment and inflammatory biomarkers could play an independent prognostic role also in the management of glioma patients.

CONCLUSIONS

PNI, CONUT score and hematological biomarkers (e.g. albumin, globulin, neutrophils, lymphocytes) may serve as useful predictors in patients with gliomas, potentially influencing clinical decisions. Additional large-scale studies are required to validate these findings and determine the mechanisms by which nutritional status, systemic inflammation and immune status affect prognosis in glioma patients.

Prognostic Value of Preoperative Controlling Nutritional Status in Hypopharyngeal Cancer Patients Undergoing Surgery-Oriented Comprehensive Treatment

OBJECTIVES

The preoperative controlling nutritional status (pCONUT) score has been shown correlated with the prognosis of some cancerous diseases; however, little is known about the effect of pCONUT score on hypopharyngeal cancer (HPC). Therefore, the objective of our study was to demonstrate the relationship between the pCONUT score and the clinical outcome of patients with HPC.

PATIENTS AND METHODS

Ninety-four patients with HPC who underwent surgery between May 2012 and Dec 2020 were enrolled in this study. We evaluated retrospectively their pCONUT scores and calculated the cutoff value regarding the patients' overall survival using the X-tile software. Kaplan-Meier and Cox proportional hazard regression model were used to determine how the pCONUT score affected overall survival.

RESULTS

A cutoff level of 4 was determined to be optimal for the pCONUT score, by which the patients were grouped into high pCONUT score (≥4, n = 22, 23.4%) or low pCONUT score (<4, n = 72, 76.6%) groups. The univariate analysis showed that high pCONUT scores correlated with reduced overall survival (hazard ratio: 2.925, 95% confidence interval: 1.526-5.607, P = .001). Furthermore, the multivariate analysis also showed that high pCONUT scores increased the risk of overall death (hazard ratio: 2.639, 95% confidence interval: 1.365-5.101, P = .004).

CONCLUSIONS

The pCONUT score is considered a useful prognostic factor in patients with HPC.

Prognostic value of prognostic nutritional index score and controlling nutritional status score in patients with glioblastoma: A comprehensive meta-analysis

Introduction

Several nutritional indicators, including the prognostic nutritional index (PNI) score and the controlling nutritional status (CONUT) score, have been shown to predict the prognosis of patients with glioblastoma. The present meta-analysis was performed to further evaluate the prognostic value of PNI and CONUT scores in patients with glioblastoma.

Method

The PubMed, EMBASE and Web of Science databases were comprehensively searched for studies that evaluated the ability of PNI and CONUT scores to predict the prognosis of patients with glioblastoma. Hazard ratios (HR) and 95% confidence intervals (CIs) were calculated by univariate and multivariate analyses.

Result

Ten articles were included in this meta-analysis, involving 1406 patients with glioblastoma. Univariate analyses showed that a high PNI score was predictive of greater overall survival (OS; HR 0.50; 95% CI, 0.43, 0.58; I^{2 =} 0%) and progression free survival (PFS; HR 0.63; 95% CI, 0.50, 0.79; I^{2 =} 0%), whereas a low CONUT score predictive of longer OS (HR 2.39; 95% CI, 1.77, 3.23; I^{2 =} 25%). Multivariate analyses showed that high PNI score (HR 0.64; 95% CI, 0.49, 0.84; I^{2 =} 24%) and low CONUT score (HR 2.79; 95% CI, 2.01, 3.89; I^{2 =} 39%) were independently associated with longer OS, whereas PNI score was not significantly associated with PFS (HR 1.02; 95% CI, 0.65, 1.59; I^{2 =} 0%).

Conclusion

PNI scores and CONUT scores have prognostic value in patients with glioblastoma. Additional large-scale studies, however, are required to confirm these results.

Preoperative Naples prognostic score is a reliable prognostic indicator for newly diagnosed glioblastoma patients

Background

Glioblastoma (GBM) accounts for approximately 80% of malignant gliomas and is characterized by considerable cellularity and mitotic activity, vascular proliferation, and necrosis. Naples prognostic score (NPS), based on inflammatory markers and nutritional status, has a prognostic ability in various cancers. In the current study, we aim to explore the prognostic value of operative NPS in GBM patients and compare the prognostic ability between NPS and controlling nutritional status (CONUT).

Materials and methods

The retrospective analysis was carried out on consecutive newly diagnosed GBM patients who had underwent tumor resection at West China Hospital from February 2016 to March 2019. All statistical analyses were conducted using SPSS software and R software.

Results

A total of 276 newly diagnosed GBM patients were enrolled in the current study. Overall survival (OS) (p < 0.001) and tumor location (p = 0.007) were significantly related to NPS. Serum albumin concentrate, cholesterol concentrate, neutrophil-to-lymphocyte ratio, lymphocyte ratio, and CONUT score were all significantly associated with NPS (p < 0.001). The Kaplan–Meier curve indicated that NPS (log-rank test, p < 0.001) and CONUT score (log-rank test, p = 0.023) were significantly associated with OS. Multivariate Cox regression revealed that both NPS and CONUT score served as independent prognostic indicators. The prognostic model with NPS had the strongest prognostic capability and best model-fitting.

Conclusion

In the current study, NPS is found as an independent prognostic indicator for patients with newly diagnosed GBM, and the prognostic ability of NPS is superior to CONUT score.

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.

Clinical significance of postoperatif controlling nutritional status (CONUT) score in glioblastoma multiforme

PURPOSE

The Controlling Nutritional Status (CONUT) Score, a new parameter that reflects the immuno-nutritional status, has been closely associated with prognosis in many cancer types. However, the prognostic significance of the CONUT score in Glioblastoma Multiforme (GBM) is not known. In this study, we aimed to show the prognostic significance of the CONUT score in the postoperative period in patients with GBM.

METHODS

120 patients followed up with GBM were included in the study, retrospectively. According to the receiver operating characteristic (ROC) curve analysis, the optimal cut-off values were determined for the CONUT score, and the patients were divided into low (<2.5) and high (≥2.5) CONUT groups. Systemic immune inflammation index (SII), prognostic nutritional index (PNI), and neutrophil-lymphocyte ratio (NLR) were grouped according to the cut-off point of 1111, 46.5, and 4.48, respectively. Cox regression analyzes were used to assess their prognostic significance for progression-free survival (PFS) and overall survival (OS).

RESULTS

The high CONUT score group was found to have worse PFS and OS than the low CONUT score group (p < 0.001, p < 0.001). In univariate analysis, age, gender, comorbidity, CONUT score, SII, PNI, NLR were found to be significant for both PFS and OS. In multivariate analysis, only age and CONUT score were found as independent prognostic factors for both PFS (p: 0.040, p < 0,001) and OS (p: 0,041, p < 0,001).

CONCLUSION

The CONUT score in the postoperative period in patients with GBM is an independent prognostic parameter that predicts progression and survival.