Prognostic Significance of Pretreatment Prognostic Nutritional Index (PNI) in Patients with Nasopharyngeal Carcinoma: A Meta-Analysis

A Joint Model Based on Post-Treatment Longitudinal Prognostic Nutritional Index to Predict Survival in Nasopharyngeal Carcinoma

BACKGROUND

a low PNI in patients with NPC is linked to poor survival, but prior studies have focused on single-timepoint measurements. Our study aims to employ joint modeling to analyze longitudinal PNI data from each routine visit, exploring its relationship with overall survival.

METHODS

In this retrospective study using data from the Chang Gung Research Database (2007-2019), we enrolled patients with NPC undergoing curative treatment. We analyzed the correlation between patient characteristics, including the PNI, and overall survival. A joint model combining a longitudinal sub-model with a time-to-event sub-model was used to further evaluate the prognostic value of longitudinal PNI.

RESULTS

A total of 2332 patient were enrolled for the analysis. Separate survival analyses showed that longitudinal PNI was an independent indicator of a reduced mortality risk (adjusted HR 0.813; 95% CI, 0.805 to 0.821). Joint modeling confirmed longitudinal PNI as a consistent predictor of survival (HR 0.864; 95% CI, 0.850 to 0.879). An ROC analysis revealed that a PNI below 38.1 significantly increased the risk of 90-day mortality, with 90.0% sensitivity and 89.6% specificity.

CONCLUSIONS

Longitudinal PNI data independently predicted the overall survival in patients with NPC, significantly forecasting 90-day survival outcomes. We recommend routine PNI assessments during each clinic visit for these patients.

Prognostic nutritional index (PNI) and risk of non-alcoholic fatty liver disease and advanced liver fibrosis in US adults: Evidence from NHANES 2017-2020

Objective

This study explored the potential association between the Prognostic Nutritional Index (PNI) and the incidence of non-alcoholic fatty liver disease (NAFLD) and advanced liver fibrosis (AF) in the adult population of the United States.

Methods

Information on 6409 participants ≥18 years old was downloaded from the U.S. National Health and Nutrition Examination Survey (NHANES) from 2017 to 2020. Multivariate analysis was combined with demographic factors to assess the relationships between PNI, NAFLD, and AF. A restricted cubic spline (RCS) was used to characterise the nonlinear association between the PNI and NAFLD and AF.

Results

Patients without NAFLD had substantially lower mean values for parameters such as age, lymphocyte count, neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), total cholesterol, triglycerides, HbA1c, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) than patients with NAFLD. Interestingly, non-NAFLD patients showed a pronounced increase in serum albumin levels compared to their NAFLD counterparts. In the subset without AF, there were discernibly lower measures of NLR, age, AST, ALT, γ-glutamyl transferase, triglycerides, neutrophil count, and body mass index (BMI) than in patients with AF. It was evident that those without AF had markedly elevated mean albumin and PNI levels in comparison to AF-affected individuals. In the comprehensive multivariable framework, a direct correlation was observed between PNI and NAFLD (adjusted odds ratio[aOR] = 1.07, 95% confidence interval [CI]: 1.05-1.09; p < 0.001), whereas PNI and AF were inversely correlated (aOR = 0.92; 95% CI: 0.88-0.96; p < 0.001). Within the RCS model, a swift ascendancy was noted in the relationship between the PNI and NAFLD, peaking at approximately 52. Conversely, a non-linear inverse association was observed between PNI and AF.

Conclusion

Our analytical results indicate that elevated PNI levels are positively associated with an increased risk of NAFLD, but inversely related to the risk of AF. For robust validation of these observations, further research is required.

Comparison of three nutritional assessment methods associated with the prognostic impact of laryngeal cancer

BACKGROUND

Several studies have found that the prognostic nutritional index (PNI), controlling nutritional status (CONUT), and Glasgow Prognostic Score (GPS) of patients with laryngeal cancer accurately predict their prognosis. However, there is no consensus regarding the best assessment tool. Therefore, this study aimed to confirm the predictive value of the three nutritional scoring systems for the prognosis of patients with laryngeal cancer.

METHODS

This study analyzed a cohort of 427 patients with laryngeal cancer who visited our hospital. PNI, CONUT, and GPS were calculated, and the relationship between these indicators and prognosis was examined.

RESULTS

The optimal cut-off levels for overall survival (OS) of laryngeal cancer patients determined by PNI, CONUT, and GPS were 45, 3, and 0, respectively. When patients were stratified based on these thresholds, OS and disease-free survival (DFS) were significantly decreased in the malnutrition group (all three, p < 0.05). The OS rates of patients with laryngeal cancer were significantly affected by the three scores according to multivariate analysis.

CONCLUSIONS

The three scoring methods had a high predictive value for the prognosis of patients with laryngeal cancer, with GPS having the strongest correlation with the prognosis of laryngeal cancer patients.

Nutritional intervention for the prognosis of nasopharyngeal carcinoma chemoradiotherapy patients: A meta-analysis

BACKGROUND

To conduct a meta-analysis to investigate the effects of different nutritional interventions on various serum nutritional indicators and patients' prognosis during radiotherapy for nasopharyngeal carcinoma, to assess treatment safety and efficacy.

METHODS

A systematic literature search, mainly randomized controlled trials (RCTs), on the effects of nutritional support on patients undergoing radiotherapy for nasopharyngeal carcinoma was conducted between January 2010 and August 2022 using databases such as China National Knowledge Infrastructure, Wanfang Database, Web of Science, PubMed, Cochrane Library, and Embase. Risk of bias was assessed using the Cochrane Rob2 scale. The meta-analysis was performed using Stata 17.0 software, and the heterogeneity between studies was assessed using the I2 test, and funnel plots were used to qualitatively assess publication bias.

RESULTS

Overall, 10 RCTs with a total sample size of 879 cases were identified. The meta-analysis results showed that body mass index (BMI) (odds ratio = 0.026, 95% confidence interval[1]: -0.348 to 0.401, P > .05), albumin (standardized mean difference [SMD] = 0.13, 95% CI: -0.127 to 0.387, P > .05), and total protein levels were not significantly different between the nasopharyngeal cancer (NPC) radiotherapy group with nutritional support group (SMD = -0.262, 95% CI: -1.062 to 0.537, P > .05) and the control group; pre-albumin (SMD = 0.256, 95% CI: 0.022-0.491, P = .032), hemoglobin (SMD = 0.436, 95% CI: 0.26-0.612, P < .000), and lymphocyte count (SMD = 1.125, 95% CI: 0.868-1.381, P < .000) were significantly higher in the nutritional intervention group than in the control group.

CONCLUSION

Compared with conventional diets, nutritional interventions can improve serum nutritional parameters, nutritional status, treatment tolerance, and prognosis of patients undergoing radiotherapy for nasopharyngeal carcinoma.

A promising predictive biomarker combined EBV NDA with PNI for nasopharyngeal carcinoma in nonendemic area of China

In endemic areas, EBV DNA is used to guide diagnosis, detect recurrence and distant metastasis of NPC. Until now, the importance of EBV DNA in the prediction of NPC has received little attention in non-endemic regions. To explore the prognostic value of EBV DNA alone or in combination with PNI in NPC patients from a non-endemic area of China. In this retrospective study, 493 NPC patients were enrolled. Clinical pathologic data, pre-treatment plasma EBV DNA, and laboratory tests were all performed. A standard anticancer treatment was prescribed, and follow up data were collected. EBV DNA was found to be positively related to clinical stage (r = 0.357, P < 0.001), T stage (r = 0.193, P < 0.001), N stage (r = 0.281, P < 0.001), and M stage (r = 0.215, P < 0.001). The difference in EBV DNA loads between clinical stage, T, N and M stage was statistically significant (P < 0.001). In this study, the best cutoff value for EBV-DNA to distinguish the prognosis of NPC was 262.7 copies/ml. The 5-year OS of patients in the EBV-DNA ≤ 262.7 copies/ml group and EBV-DNA > 262.7 copies/ml group was 88% and 65.3%, respectively (P < 0.001). EBV-DNA and PNI were found to be independent prognostic factors for OS in multivariate analysis (P < 0.05). EBV-DNA was independent prognostic factors for PFS. In predicting NPC patients OS, the novel combination marker of EBV DNA and PNI outperformed TNM staging (AUC: 0.709 vs. 0.675). In addition, the difference between EBV + PNI and EBV + TNM was not statistically significant for OS or PFS (P > 0.05). This novel combination biomarker was a promising biomarker for predicting NPC survival and may one day guide treatment option.

Low prognostic nutritional index is associated with poor outcome in middle-aged and elderly patients with non-metastatic nasopharyngeal carcinoma: a retrospective cohort study

BACKGROUND

Prognostic nutritional index (PNI) and age are effective prognostic factors for patients with non-metastatic nasopharyngeal carcinoma (NPC), and an interaction between them may exist. However, the age cutoff value is generally set at 45 years in current studies. The clinical implications of PNI in middle-aged and elderly patients are unclear. Therefore, we aimed to uncover this issue.

PATIENTS AND METHODS

We retrospectively collected data from 132 middle-aged and elderly (≥ 45 years old) patients with non-metastatic NPC. The association between covariates and the PNI was analyzed using ² or t-test. The effect of PNI on the prognosis was evaluated using univariate and multivariate Cox regression analyses. Unadjusted and multivariate-adjusted models were applied. Stratified and interactive analyses were performed to investigate the potential source of heterogeneity.

RESULTS

Median age (61.0 years versus 59.5 years) and the proportion of patients aged ≥ 60 years (57.6% versus 50.0%) in the low-PNI group were higher than those in the high-PNI group (P > 0.05). The patients with a low PNI had shorter overall survival (OS) (hazard ratio (HR) = 0.86, 95% confidence interval (CI) = 0.80-0.93; P < 0.001) and progression-free survival (PFS) (HR = 0.93, 95% CI = 0.87-0.99; P = 0.034). The results remained stable after three adjusted models of covariates, including age (P < 0.05). No significant interactions were observed in middle-aged (45-59 years) and elderly (≥ 60 years) subgroups for OS and PFS (P for interaction > 0.05).

CONCLUSION

Although there is an interaction between PNI and age, PNI is an independent prognostic factor in middle-aged and elderly patients with non-metastatic NPC.

Prognostic Nutritional Index Predicts Response and Prognosis in Cancer Patients Treated With Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis

Objective

To investigate the association between pretreatment prognostic nutritional index (PNI) and clinical survival outcomes for advanced-stage cancer patients treated with immune checkpoint inhibitors (ICIs).

Methods

We conducted a comprehensive literature search to identify eligible studies concerning the relationship between pretreatment PNI and survival outcomes in advanced cancer patients treated with ICIs. Published data were extracted and pooled odds ratio (pOR) for objective response rate (ORR), disease control rate (DCR), and pooled hazard ratio (pHR) for overall survival (OS), progressive-free survival (PFS), along with 95% confidence intervals (95% CIs) were calculated.

Results

Twelve studies with 1,359 participants were included in our study. A higher level of PNI indicated a greater ORR (pOR = 2.17, 95% CI = 1.52–3.10) and favorable DCR (pOR = 2.48, 95% CI = 1.87–3.29). Low PNI was associated with a shorter OS (pHR = 2.24, 95% CI = 1.57–3.20) and unfavorable PFS (pHR = 1.61, 95% CI = 1.37–1.88).

Conclusion

Low PNI might be an effective biomarker of poor tumor response and adverse prognosis of advanced cancer patients with ICIs. Further studies are needed to verify the prognostic value of PNI in clinical practice.

Malnutrition Screening and Assessment

Malnutrition is a serious problem with a negative impact on the quality of life and the evolution of patients, contributing to an increase in morbidity, length of hospital stay, mortality, and health spending. Early identification is fundamental to implement the necessary therapeutic actions, involving adequate nutritional support to prevent or reverse malnutrition. This review presents two complementary methods of fighting malnutrition: nutritional screening and nutritional assessment. Nutritional risk screening is conducted using simple, quick-to-perform tools, and is the first line of action in detecting at-risk patients. It should be implemented systematically and periodically on admission to hospital or residential care, as well as on an outpatient basis for patients with chronic conditions. Once patients with a nutritional risk are detected, they should undergo a more detailed nutritional assessment to identify and quantify the type and degree of malnutrition. This should include health history and clinical examination, dietary history, anthropometric measurements, evaluation of the degree of aggression determined by the disease, functional assessment, and, whenever possible, some method of measuring body composition.

Impact of geriatric nutritional risk index on outcomes after gastrectomy in elderly patients with gastric cancer: a retrospective multicenter study in Japan

BACKGROUND

Several studies investigated the utility of inflammation and nutritional markers in predicting the prognosis in patients with gastric cancer; however, the markers with the best predictive ability remain unclear. This retrospective study aimed to determine inflammation and nutritional markers that predicted prognosis in elderly patients over 75 years of age undergoing curative gastrectomy for gastric cancer.

METHODS

Between January 2005 and December 2015, 497 consecutive elderly gastric cancer patients aged over 75 years underwent curative gastrectomy in 12 institutions. The geriatric nutritional risk index (GNRI), prognostic nutritional index, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and C-reactive protein/albumin ratio were examined as prognostic markers for overall survival (OS) and disease-specific survival (DSS) using area under the curve (AUC) using receiver operating characteristic (ROC) curve analysis.

RESULTS

The GNRI had the highest AUC and predictive value for both OS (0.637, p < 0.001) and DSS (AUC 0.645, p < 0.001). The study cohort was categorized into the high and low GNRI groups based on the optimal GNRI cut-off values for OS (97.0) and DSS (95.8) determined with the ROC analysis. For both OS and DSS, there was a significant correlation between the GNRI and several clinicopathological factors including age, body mass index, albumin, American Society of Anesthesiologists physical status score, depth of tumor invasion, lymph node metastasis, lymphatic invasion, pathological stage, operation duration, bleeding, procedure, approach, death due to primary disease, and death due to other disease. The GNRI remained a crucial independent prognostic factor for both OS (Hazard ratio [HR] = 1.905, p < 0.001) and DSS in multivariate analysis (HR = 1.780, p = 0.043).

CONCLUSIONS

Among a panel of inflammation and nutritional markers, the GNRI exhibited the best performance as a prognostic factor after curative gastrectomy in elderly patients with gastric cancer, indicating its utility as a simple and promising index for predicting OS and DSS in these patients.

Preoperative Prognostic Nutritional Index Predict Survival in Patients With Resectable Esophageal Squamous Cell Carcinoma

BACKGROUND

Prognostic nutritional index (PNI) is one of the most important factors related to prognosis in many types of cancer. This study aimed to evaluate the PNI on predicting the overall survival (OS) in resectable esophageal squamous cell carcinoma (ESCC).

METHODS

A total of 165 patients with resectable ESCC were included in our retrospective study. PNI values before surgery were calculated for each patient [PNI = 10 × albumin (gr/dL) + 0.005 × total lymphocyte count (mm³)]. PNI cutoff value was selected by drawing receiver operating characteristics (ROC) curve, which used OS time as the endpoint. The Kaplan-Meier method and the Cox regression model of multivariate analysis were used to analyze the prognostic relationship between PNI and OS.

RESULTS

Among the 165 patients, 34 (20.6%) were women and 131 (79.4%) were men. The mean age was 62.67 ± 7.95 years, with the age range from 44 to 85 years. The average PNI was 46.68 ± 8.66. ROC curve showed that the best cutoff value was 43.85. All patients were divided into two groups: 72 patients (43.6%) were in the low PNI group (<43.85), while 93 patients (56.4%) were in the high PNI group (≥ 43.85). Univariate analysis demonstrated that PNI, tumor length, and T-stage and pathological stage were related to the prognosis of patients with ESCC (P <0.05). The Kaplan-Meier curve showed that the high PNI group has significantly increased OS compared to low PNI group (p = 0.01). Three-year OS rates were 57.5% in the low PNI group while 77.7% in the high PNI group. Univariate analysis showed that advanced pathological stage, large tumor length, and low PNI (separately, p < 0.05) were significant risk factors for shorter OS. Multivariate analysis showed that tumor length (P = 0.008) and PNI (P = 0.017) were independent prognostic factors in patients with resectable ESCC.

CONCLUSION

PNI is a simple and useful predictive marker for the OS time in patients with radical esophagectomy.

The Prognostic Value of the Prognostic Nutritional Index in Operable High-Grade Glioma Patients and the Establishment of a Nomogram

Background

Studies confirmed the predictive value of the prognostic nutrition index (PNI) in many malignant tumors. However, it did not reach a consensus in glioma. Therefore, this study investigated the prognostic value of preoperative PNI in operable high-grade glioma and established a nomogram.

Methods

Clinical data of high-grade glioma patients were retrospectively analyzed. The primary endpoint was overall survival (OS). Survival analysis was conducted by the Kaplan–Meier method, log-rank test, and Cox regression analysis. A nomogram was established. The prediction effect of the nomogram covering PNI was verified by area under the curve (AUC).

Results

A total of 91 operable high-grade glioma patients were included. Kaplan–Meier analysis showed that among grade IV gliomas (n = 55), patients with higher PNI (>44) showed a trend of OS benefit (p = 0.138). In grade III glioma (n = 36), patients with higher PNI (>47) had longer OS (p = 0.023). However, the intersecting Kaplan–Meier curve suggested that there may be some confounding factors. Cox regression analysis showed that higher PNI was an independent prognostic factor for grade IV glioma (HR = 0.388, p = 0.040). In grade III glioma, there was no statistically relationship between PNI levels and prognosis. When evaluating the prognostic ability of PNI alone by ROC, the AUC in grade III and IV gliomas was low, indicating that PNI alone had poor predictive power for OS. Interestingly, we found that the nomogram including preoperative PNI, age, extent of resection, number of gliomas, and MGMT methylation status could predict the prognosis of patients with grade IV glioma well.

Conclusion

The PNI level before surgery was an independent prognostic factor for patients with grade IV glioma. The nomogram covering PNI in patients with grade IV glioma also proved the value of PNI. However, the value of PNI in grade III glioma needs to be further evaluated. More prospective studies are needed to verify this conclusion.

Prognostic and Clinicopathological Correlations of Pretreatment Prognostic Nutritional Index in Renal Cell Carcinoma: A Meta-Analysis

INTRODUCTION

Prognostic nutritional index (PNI) was indicted as a potential prognostic biomarker for cancer. However, the conclusion remains uncertain for renal cell carcinoma (RCC). This study was to confirm the association of PNI with prognosis and clinicopathological features in RCCs.

METHODS

The PubMed, EMBASE, Cochrane Library, CNKI, and Wan Fang databases were searched to retrieve eligible studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were pooled to assess the strength of the association.

RESULTS

Fifteen studies were included. The results showed a low pretreatment PNI level was significantly associated with poor overall survival (HR = 1.67, 95% CI: 1.45-1.92), progression-free survival (HR = 1.72, 95% CI: 1.23-2.42), cancer-specific survival (HR = 1.17, 95% CI: 1.09-1.26), disease-free survival (HR = 1.28, 95% CI: 1.09-1.26), and recurrence-free survival (HR = 2.14, 95% CI: 1.38-3.31). This prognostic role of PNI was almost not changed by subgroup analysis based on study design, HR source, RCC type, sample size, cutoff, follow-up, treatment, and country. Furthermore, low PNI was correlated with old age, large tumor size and high T stage, Fuhrman grade, lymph node, and distant metastases.

CONCLUSION

Pretreatment PNI might be a promising indicator to beforehand predict the progression and prognosis for RCC patients.

Long-term and short-term prognostic value of the prognostic nutritional index in cancer: a narrative review

Objective

To perform a narrative review of the prognostic value of prognostic nutritional index (PNI) in cancers.

Background

Prognostic estimation greatly determines the treatment approach in various cancers. The PNI, calculated using the serum albumin level and total lymphocyte count, is a useful indicator to assess nutritional and immunological conditions. The PNI represents a low-cost, easy-to-perform, noninvasive, rapid, and standardized tool for estimating the prognosis of cancer. Many studies have aimed to clarify the prognostic value of PNI for various types of cancer.

Methods

We summarize the studies, particularly the systematic reviews and meta-analyses, that have examined the prognostic value of PNI in common cancers.

Conclusions

The relevant studies indicate that low PNI is an independent prognostic factor for decreasing overall survival in many types of cancers. Disease-free survival and progression-free survival were also associated with PNI in some types of cancer including lung cancer and renal cell carcinoma. Therefore, we suggest that the measurement of PNI is a useful method to identify cancer patients that have a worse prognosis and that the treatment strategy for these patients be adjusted accordingly. We hypothesize that maintaining good nutritional status during treatment may improve outcomes of various cancers.

Prognostic Value of Pretreatment Prognostic Nutritional Index in Patients With Renal Cell Carcinoma: A Meta-Analysis

Background

The pretreatment prognostic nutritional index (PNI) is correlated with poor prognosis in several malignancies. However, the prognostic role of PNI in patients with renal cell carcinoma (RCC) remains unclear. Therefore, we performed a meta-analysis to investigate the prognostic significance of PNI in patients with RCC.

Methods

We searched the PubMed, Web of Science, Embase, Scopus, and Cochrane Library databases up to February 2021. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate correlation between PNI and survival endpoints in RCC.

Results

Ten studies with 4,908 patients were included in the meta-analysis. The pooled results indicated that a low PNI associated with poor overall survival (HR = 2.10, 95% CI = 1.67–2.64, p<0.001), shorter progression-free survival, disease-free survival, recurrence-free survival (HR = 1.99, 95% CI = 1.67–2.36, p<0.001), and poor cancer-specific survival (HR = 2.95, 95% CI = 1.61–5.39, p<0.001). Additionally, the prognostic ability of PNI was not affected by subgroup analysis factors.

Conclusion

The meta-analysis indicated that low PNI associated with shorter survival outcomes in patients with RCC. Therefore, PNI could be used as an effective prognostic indicator in RCC.