Prognostic nutritional index predicts prognosis in patients with metastatic nasopharyngeal carcinoma

Prognostic nutritional index and serum lactate dehydrogenase predict the prognosis of nasopharyngeal carcinoma patients who received intensity-modulated radiation therapy

PURPOSE

This research aimed to evaluate the prognostic significance of baseline prognostic nutritional index (PNI) and lactate dehydrogenase (LDH) for the outcome of individuals diagnosed with non-metastatic nasopharyngeal carcinoma (NPC).

METHODS

A retrospective analysis was conducted on data from 810 patients with non-metastatic NPC who underwent intensity-modulated radiation therapy (IMRT) with or without chemotherapy. The best cut-offs for PNI and LDH were identified by X-tile software to be 48.5 and 150, respectively. To find the independent prognostic factors for survival outcomes, univariate and multivariate regression analyses were conducted, and AUCs were used to compare their prognostic values.

RESULTS

Multivariate analysis revealed that patients with PNI > 48.5 had better overall survival (OS) (HR: 0.502, P < 0.001), progression-free survival (PFS) (HR: 0.618, P < 0.001), and distant metastasis-free survival (DMFS) (HR: 0.637, P = 0.005). Higher LDH was associated with poorer OS (HR: 1.798, P < 0.001), PFS (HR: 1.671, P < 0.001), and DMFS (HR: 1.756, P < 0.001). The combination of low PNI and high LDH in non-metastatic NPC patients was correlated with poor OS (P < 0.001), PFS (P < 0.001), and DMFS (P < 0.001). The combination of PNI and LDH had the highest AUCs for predicting OS, PFS, and DMFS.

CONCLUSIONS

PNI and LDH might become valuable predictors of the prognosis of non-metastatic NPC patients undergoing IMRT with or without chemotherapy. Prognostic accuracy can be enhanced by combining PNI and LDH.

Prognostic significance of the novel nutrition-inflammation marker of lymphocyte-C-reactive protein ratio in patients with nasopharyngeal carcinoma receiving concurrent chemoradiotherapy

BACKGROUND

Recent studies indicate that the novel lymphocyte-C-reactive protein ratio (LCR) is strongly associated with the survival of various tumors, but its prognostic value in nasopharyngeal carcinoma (NPC) is understudied. This study aimed to explore the relationship between LCR and overall survival (OS) in NPC and develop a predictive model.

METHODS

A total of 841 NPC patients who received concurrent chemoradiotherapy (CCRT) between January 2010 and December 2014 were retrospectively enrolled and randomly divided into a training cohort (n = 589) and a validation cohort (n = 252), and 122 patients between January 2015 and March 2015 were included as an additional validation cohort. Univariate and multivariate Cox analyses were performed to identify variables associated with OS and construct a predictive nomogram. The predictive accuracy of the nomogram was evaluated and independently validated.

RESULTS

The LCR score differentiated NPC patients into two groups with distinct prognoses (HR = 0.53; 95% CI: 0.32-0.89, P = 0.014). Multivariate analysis showed that age, T stage, N stage, EBV-DNA status, and LCR score were independently associated with OS, and a predictive nomogram was developed. The nomogram had a good performance for the prediction of OS [C-index = 0.770 (95% CI: 0.675-0.864)]. and outperformed the traditional staging system [C-index = 0.589 (95% CI: 0.385-0.792)]. The results were internally and additionally validated using independent cohorts.

CONCLUSION

The pretreatment LCR could independently predict the overall survival in NPC patients. A novel LCR-based prognostic model of an easy-to-use nomogram was established, and it outperformed the conventional staging system in terms of predictive power. Further external verification remains necessary.

Prognostic significance of pre- and post-treatment hematological biomarkers in patients with head and neck cancer treated with chemoradiotherapy

This study aimed to investigate the prognostic value of hematological biomarkers measured before and after treatment in patients with head and neck cancer (HNC). This study reviewed 124 patients with HNC who received chemoradiotherapy. Hematological biomarkers assessed before and after treatment were investigated. The pretreatment C-reactive protein/albumin ratio (pre-CAR) and post-treatment prognostic nutritional index (post-PNI) showed the highest area under the curve with cutoff values of 0.0945 and 34.9, respectively. Patients in the high pre-CAR group showed significantly worse prognosis than those in the low pre-CAR group with respect to the progression-free survival (PFS) (3-year PFS: 44.8% vs. 76.8%, p < 0.001) and overall survival (OS) (3-year OS: 65.8% vs. 94.0%, p < 0.001). Patients in the low post-PNI group showed significantly worse prognosis than those in the high post-PNI group with respect to the PFS (3-year PFS: 58.6% vs. 77.4%, p = 0.013) and OS (3-year OS: 75.2% vs. 96.9%, p = 0.019). Multivariate analysis revealed that advanced N stage (p = 0.008), high pre-CAR (p = 0.024), and low post-PNI (p = 0.034) were significantly associated with poorer OS. We suggest that the evaluation of hematological markers before and after treatment is useful for predicting disease progression and survival.

The prognostic nutritional index represents a novel inflammation-nutrition-based prognostic factor for nasopharyngeal carcinoma

Purpose

This study explored the relationship between the prognostic nutritional index (PNI) and overall survival rate (OS) in patients with nasopharyngeal carcinoma (NPC), and established and validated an effective nomogram to predict clinical outcomes.

Methods

This study included 618 patients newly diagnosed with locoregionally advanced NPC. They were divided into training and validation cohorts at a ratio of 2:1 based on random numbers. The primary endpoint of this study was OS, progression-free survival (PFS) was the second endpoint. A nomogram was drawn from the results of multivariate analyses. Harrell's concordance index (C-index), area under the receiver operator characteristic curve (AUC), and decision curve analysis (DCA) were used to evaluate the clinical usefulness and predictive ability of the nomogram and were compared to the current 8th edition of the International Union Against Cancer/American Joint Committee (UICC/AJCC) staging system.

Results

The PNI cutoff value was 48.1. Univariate analysis revealed that age (p < 0.001), T stage (p < 0.001), N stage (p = 0.036), tumor stage (p < 0.001), PNI (p = 0.001), lymphocyte-neutrophil ratio (NLR, p = 0.002), and lactate dehydrogenase (LDH, p = 0.009) were significantly associated with OS, age (p = 0.001), T-stage (p < 0.001), tumor stage (p < 0.001), N-stage (p = 0.011), PNI (p = 0.003), NLR (p = 0.051), and LDH (p = 0.03) were significantly associated with PFS. Multivariate analysis showed that age (p < 0.001), T-stage (p < 0.001), N-stage(p = 0.02), LDH (p = 0.032), and PNI (p = 0.006) were significantly associated with OS, age (p = 0.004), T-stage (<0.001), N-stage (<0.001), PNI (p = 0.022) were significantly associated with PFS. The C-index of the nomogram was 0.702 (95% confidence interval [CI]: 0.653-0.751). The Akaike information criterion (AIC) value of the nomogram for OS was 1142.538. The C-index of the TNM staging system was 0.647 (95% CI, 0.594-0.70) and the AIC was 1163.698. The C-index, DCA, and AUC of the nomogram demonstrated its clinical value and higher overall net benefit compared to the 8th edition of the TNM staging system.

Conclusion

The PNI represents a new inflammation-nutrition-based prognostic factor for patients with NPC. In the proposed nomogram, PNI and LDH were present, which led to a more accurate prognostic prediction than the current staging system for patients with NPC.

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.

Correlation of the AKT/mTOR signaling pathway with the clinicopathological features and prognosis of nasopharyngeal carcinoma

The primary aim of this study was to examine the correlation of the AKT/mTOR signaling pathway with the clinicopathological features and prognostic significance in nasopharyngeal carcinoma (NPC). The study tissues were collected from 285 patients with NPC and normal mucosal tissues were obtained from 289 individuals with normal nasopharynxes. Immunohistochemical staining was used to detected the expression of the AKT, mTOR, and p70 ribosomal S6 kinase (P70S6K) proteins. Follow-up was performed for between 8 and 60 months. Spearman’s rank correlation analysis was performed to evaluate the correlation of the expression of the AKT, mTOR, and P70S6K proteins in NPC tissues. Kaplan-Meier curves were plotted to show the survival of patients with NPC. A Cox proportional hazards model was used to explore the independent risk factors for prognosis. The expression of the AKT, mTOR, and P70S6K proteins in NPC tissues was higher than that in healthy nasopharyngeal mucosal tissues, and was correlated with T-staging, N-staging, clinical stage, distant metastasis, and differentiation. The positive expression of the AKT, mTOR, and P70S6K proteins was higher in patients with stage III/IV NPC, low differentiation, and metastasis. The survival rates of patients with NPC with AKT-positive, mTOR-positive, and P70S6K-positive expression were considerably lower than those without the expression of these proteins. Distant metastasis and the overexpression of the AKT, mTOR, and P70S6K proteins were independent risk factors for the prognosis of patients with NPC. The results obtained from this study indicated an association between the AKT/mTOR signaling pathway and the progression of NPC. The upregulation of the AKT/mTOR pathway in patients with NPC is a predictor of poor prognosis.

Prognostic nutritional index and its dynamics after curative treatment are independent prognostic factors on survival in non-metastatic nasopharyngeal carcinoma

PURPOSE

We aimed to identify the prognostic and predictive values of post-treatment prognostic nutritional index (PNI) and PNI dynamics in nasopharyngeal cancer patients (NPC) in this study.

METHODS

One hundred seven non-metastatic NPC patients were included. PNI was calculated by using the following formula: [10 × serum albumin value (gr/dL)] + [0.005 × total lymphocyte count (per mm3)]. ROC analysis was used for determining prognostic PNI values and univariate and multivariate statistical analyses for prognostic characterization of PNI.

RESULTS

The statistically significant cut-off values for pre- and post-treatment PNI were 50.65 and 44.75, respectively. Of the pre-treatment PNI analysis, PNI ≤ 50.65 group had shorter loco-regional recurrence-free survival (LRRFS), distant metastasis-free survival (DMFS), and overall survival (OS). Furthermore, for post-treatment PNI analysis, PNI ≤ 44.75 group had shorter LRRFS and OS. In univariate analysis, only pre-treatment PNI was associated with LRRFS and DMFS, while pre- and post-treatment PNI were both associated with OS. In multivariate analysis, both PNI were independent prognostic markers for OS. In the combined analysis, pre- and post-treatment PNI, differences between the groups were statistically significant, and the PNI dynamics was an independent prognostic indicator for OS.

CONCLUSION

PNI is a useful, independent prognostic marker for non-metastatic NPC patients. It is used for either pre- or post-treatment patients. Furthermore, changes in pre-treatment PNI value after curative treatment is a significant indicator for OS.

Complement 3 and the Prognostic Nutritional Index Distinguish Kawasaki Disease from Other Fever Illness with a Nomogram

Objective: This study aimed to establish a model to distinguish Kawasaki disease (KD) from other fever illness using the prognostic nutritional index (PNI) and immunological factors. Method: We enrolled a total of 692 patients (including 198 with KD and 494 children with febrile diseases). Of those, 415 patients were selected to be the training group and 277 patients to be the validation group. Laboratory data, including the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the prognostic nutritional index (PNI), and immunological factors, were retrospectively collected for an analysis after admission. We used univariate and multivariate logistic regressions and nomograms for the analysis. Result: Patients with KD showed significantly higher C3 and a lower PNI. After a multivariate logistic regression, the total leukocyte count, PNI, C3, and NLR showed a significance (p < 0.05) and then performed well with the nomogram model. The areas under the ROC in the training group and the validation group were 0.858 and 0.825, respectively. The calibration curves of the two groups for the probability of KD showed a near agreement to the actual probability. Conclusions: Compared with children with febrile diseases, patients with KD showed increased C3 and a decreased nutritional index of the PNI. The nomogram established with these factors could effectively identify KD from febrile illness in children.

Prognostic significance of a combined and controlled nutritional status score and EBV-DNA in patients with advanced nasopharyngeal carcinoma: a long-term follow-up study

OBJECTIVE

Several studies have reported that the controlling nutritional status (CONUT) score is a prognostic predictor for survival among patients with different types of cancer. We assessed the prognostic value of changes in the CONUT score during treatment and the ΔCONUT-EBV DNA score in patients with advanced nasopharyngeal carcinoma (NPC).

METHODS

We retrospectively analyzed 433 patients with advanced NPC having no evidence of metastasis from January 2007 to June 2011; the patients underwent radical concurrent chemoradiotherapy (CCRT) at Sun Yat-sen University Cancer Center and were grouped based on their ΔCONUT and ΔCONUT-EBV DNA scores. Kaplan-Meier curves were used to compare the patient outcomes according to the cut-off ΔCONUT score and the ΔCONUT-EBV DNA scoring system.

RESULTS

Among all patients, overall survival (OS) was independently predicted by a high ΔCONUT score (P = 0.031) and high EBV DNA (P < 0.001). The ΔCONUT-EBV DNA score [OS area under the curve (AUC) = 0.621; progression free survival (PFS)-AUC = 0.612; distant metastasis-free survival (DMFS)-AUC = 0.622] was more predictive of OS, PFS, and DMFS in patients with advanced NPC than the ΔCONUT score (OS-AUC = 0.547; PFS-AUC = 0.533; DMFS-AUC = 0.522) and pretreatment plasma EBV DNA levels alone (OS-AUC = 0.600; PFS-AUC = 0.591, DMFS-AUC = 0.610). The ΔCONUT-EBV DNA score was significantly correlated with OS, PFS, and DMFS in patients with advanced NPC treated with CCRT.

CONCLUSIONS

The ΔCONUT-EBV DNA score may be useful in clinical practice as a convenient biomarker for predicting the outcomes in patients with advanced NPC treated with CCRT.

Baseline Low Prognostic Nutritional Index Predicts Poor Survival in Locally Advanced Nasopharyngeal Carcinomas Treated With Radical Concurrent Chemoradiotherapy

BACKGROUND

To retrospectively assess the impact of prognostic nutritional index (PNI) on survival outcomes of patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC) treated with concurrent chemoradiotherapy (CCRT).

METHODS

This study incorporated 154 patients with LA-NPC who received exclusive cisplatinum-based CCRT. Receiver operating characteristic (ROC) curve analysis was utilized for accessibility of pretreatment PNI cutoffs influencing survival results. The primary end point was the interaction between the overall survival (OS) and PNI values, while cancer-specific survival (CSS) locoregional progression-free survival (LR-PFS), distant metastasis-free survival (DMFS), and PFS were the secondary end points.

RESULTS

A rounded PNI cutoff value of 51 was identified in ROC curve analyses to exhibit significant link with CSS, OS, DMFS, and PFS outcomes, but not LR-PFS. Patients grouping per PNI value (≥51 [N = 95] vs <51 [N = 49]) revealed that PNI < 51 group had significantly shorter median CSS (P < .001), OS (P < .001), DMFS (P < .001), and PFS (P < .001) times than the PNI ≥ 51 group, and the multivariate results confirmed the PNI < 51 as an independent predictor of poor outcomes for each end point (P < .05 for each). The unfavorable impact of the low PNI was also continued at 10-year time point with survival rates of 77.9% versus 42.4%, 73.6% versus 33.9%, 57.9% versus 27.1%, and 52.6% versus 23.7% for CSS, OS, DMFS, and PFS, respectively. Additionally, we found that PNI < 51 was significantly associated with higher rates of weight loss >5% over past 6 months (49.2% versus 11.6%; P = .002) compared to PNI < 51 group.

CONCLUSION

Low pre-CCRT PNI levels were independently associated with significantly reduced CSS, OS, DMFS, and PFS outcomes in patients with LA-NPC treated with definitive CCRT.

Predicting short-term life expectancy of patients with end-stage gastric cancer using Onodera's prognostic nutritional index

BACKGROUND

Although the Onodera's prognosis nutritional index (O-PNI) has been used to predict long-term life expectancy, its use to predict life expectancy within 12 weeks has not been discussed. In this study, we examined the usefulness of the O-PNI to predict short-term life expectancy in patients with end-stage gastric cancer.

METHODS

Blood samples from 425 patients who underwent surgery for gastric cancer at Toho University Omori Hospital from January 2001 to the end of December 2018 were analyzed. In 184 of 425 patients, a complete set of four blood sampling data were available at 12, 8, 4, and 1 week before death. The cutoff values and c-indices of O-PNI for predicting short-term life expectancy was calculated using the receiver operating characteristic curve.

RESULTS

The shorter the life expectancy, the lower the O-PNI. For life expectancy of 8, 4, and 1 week, the optimal cutoff values for O-PNI were 40.4 (sensitivity 80.1%, specificity 44.6%); 38.3 (sensitivity 80.2%, specificity 54.1%); and 35.5 (sensitivity 80.4%, specificity 55.3%), respectively.

CONCLUSIONS

In most patients, the O-PNI was below 40.4, 38.3, and 35.5 at 8, 4, and 1 week, respectively, before death, with 80% sensitivities. The O-PNI may be useful for predicting the short-term life expectancy in patients with end-stage gastric cancer.

The prognostic role of prognostic nutritional index in nasopharyngeal carcinoma: A systematic review and meta-analysis

PURPOSE

The prognostic utility of the prognostic nutritional index (PNI) in nasopharyngeal carcinoma (NPC) has never been systematically reviewed. Therefore, we performed this meta-analysis.

METHODS

We performed comprehensive research via Embase, PubMed, Web of Science and the Cochrane Library. The pooled hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were applied to explore the relationship between PNI and overall survival (OS), progression-free survival (PFS), locoregional failure-free survival (LRFFS), distant metastasis-free survival (DMFS) and clinical features. Both univariate analysis (UVA) and multivariate analysis (MVA) were used.

RESULTS

A total of 8 eligible studies including 3631 patients were ultimately enrolled. A low PNI level was significantly associated with a shorter OS [(HR 2.06, P < 0.00001; UVA) and (HR 1.78, P < 0.00001; MVA)], PFS [(HR 2.27, P = 0.006; UVA) and (HR 1.45, P = 0.0003; MVA)] and DMFS [(HR 2.06, P < 0.00001; UVA) and (HR 2.04, P < 0.00001; MVA)]. However, only one study reported the LRFFS of NPC patients, and there was no significant difference [HR 1.68, P = 0.26]. Furthermore, female patients, higher tumor stage, a lower alanine transaminase (ALT) level and a lower white blood cell (WBC) level were associated with a lower PNI level.

CONCLUSION

Our meta-analysis indicated that NPC patients with a low PNI level had worse OS, PFS and DMFS, and a low PNI level was associated with female patients, higher tumor stage, a lower ALT level and a lower WBC level. These findings indicate that PNI is a promising prognostic biomarker.

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

OBJECTIVE

Previous studies have investigated the pretreatment prognostic nutritional index (PNI) as a prognostic factor in patients with nasopharyngeal carcinoma (NPC); however, the results remained inconsistent. We aimed to assess the prognostic value of PNI in patients with NPC through conducting meta-analysis. Methods: Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for low PNI of overall survival (OS), progression-free survival (PFS), distant metastasis-free survival (DMFS), loco-regional recurrence-free survival (LRFS), and cancer-specific survival (CSS). Results: Totally, eight studies involving 4299 patients were included in this meta-analysis. A low pretreatment PNI was associated with poor OS (HR = 1.86, 95% CI = 1.55-2.33, P < 0.001), DMFS (HR = 2.03, 95% CI = 1.69-2.44, P < 0.001), PFS (HR = 1.57, 95% CI = 1.31-1.90, P < 0.001), and CSS (HR = 2.29, 95% CI = 1.54-3.42, P < 0.001). The subgroup analysis showed that low PNI remained a significant factor for poor OS, DMFS, and PFS irrespective of treatment, country, and cutoff value of PNI. In addition, low PNI was correlated to female gender (OR = 1.35, 95% CI = 1.12-1.62, P = 0.002), older age (OR = 1.75, 95% CI = 1.17-2.62, P = 0.007), and T3-T4 stage (OR = 1.27, 95% CI = 1.06-1.53, P = 0.011). Conclusions: A low PNI was associated with poor survival outcomes in patients with NPC. Moreover, PNI could serve as an index to help guide clinical management for older patients.

Prognostic value of prognostic nutritional index in nasopharyngeal carcinoma: A meta-analysis containing 4511 patients

OBJECTIVES

The prognostic nutritional index (PNI) is an index reflecting the nutritional and inflammatory status of patients and is explored for prognosis in nasopharyngeal carcinoma (NPC). However, the data are conflicting. In the current study, a meta-analysis was performed to comprehensively clarify the association between PNI and prognosis of NPC.

MATERIALS AND METHODS

PubMed, Web of Science, the Cochrane library, China National Knowledge Infrastructure (CNKI), and Wanfang database were searched up to July 25, 2020. Hazard ratio (HR) and with 95% confidence interval (CI) were calculated to assess the impact of PNI on the survival outcomes of patients with NPC.

RESULTS

A total of 10 studies containing with 4511 patients were identified. The pooled results showed that NPC patients with a low PNI would have a worse overall survival (OS) (HR = 1.89, 95%CI = 1.59-2.25, p < 0.001), distant metastasis-free survival (DMFS) (HR = 2.01. 95%CI = 1.66-2.43, p < 0.001), progression-free survival (PFS) (HR = 1.59, 95%CI = 1.32-1.91, p < 0.001), and locoregional recurrence-free survival (LRRFS) (HR = 1.51, 95%CI = 1.04-2.21, p = 0.032). Subgroup analysis showed that the low PNI was still a significant prognostic factor for OS and DMFS.

CONCLUSIONS

Our meta-analysis demonstrated that a low PNI was significantly correlated to poor OS, DMFS, PFS, and LRRFS in NPC. Therefore, we suggest PNI applied as an indicator for prediction of the short- and long- term survival outcomes in patients with NPC.

Use of prognostic nutritional index in the evaluation of disease activity in patients with Behçet's disease

OBJECTIVE

Behçet's disease (BD) is a chronic, multisystem disorder that can cause severe morbidity and mortality. Monitoring tools that measure disease activity are required for effective management of BD. We aimed to investigate the association of prognostic nutritional index (PNI) with disease activity in BD.

METHODS

In this cross-sectional study, we enrolled 88 adult patients with BD and 51 healthy controls. The patients were divided into patients with active and inactive BD according to their disease activities. PNI was calculated using the following formula: 10×serum albumin (g/dL)+0.005×peripheral lymphocyte count (per mm3). To evaluate BD activity, the Behçet Disease Current Activity Form was used. The relations of BD activity with PNI, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, erythrocyte sedimentation rate, and C-reactive protein were investigated. A receiver operator characteristic curve analysis was used to define the optimum cutoff value of PNI for active BD.

RESULTS

A total of 48 patients were classified as having active BD and 40 as having inactive BD. Patients with active BD had lower mean PNI than patients with inactive BD and healthy controls (51.8±4.2, 57.4±2.9, and 56.6±3.6, respectively; p<0.001). In multivariate analysis, PNI was the only independent predictor of BD activity (odds ratio, -0.687; 95% confidence interval 0.548-0.861; p=0.001). The optimum cutoff of PNI for active BD was 55.35 with 79.2% sensitivity and 77.75% specificity.

CONCLUSION

PNI was significantly associated with BD activity. PNI may be a useful tool for the assessment of disease activity in BD.

Is the prognostic nutritional index a prognostic and predictive factor in metastatic non-small cell lung cancer patients treated with first-line chemotherapy?

PURPOSE

We aimed to assess the prognostic and predictive significance of pretreatment Onodera's prognostic nutritional index (OPNI) in metastatic non-small cell lung cancer patients (NSCLC) treated with first-line chemotherapy.

MATERIALS AND METHODS

Patients with metastatic NSCLC who attended five different medical oncology clinics between December 2008 and January 2018 were retrospectively analyzed. The optimal cut-off point for OPNI was performed by a receiver operating characteristic (ROC) curve analysis. Patients were assigned to either the low OPNI group or high OPNI group.

RESULTS

A total of 333 patients were included in the study. Significant differences between the low and high OPNI groups were found regarding the rates of response to chemotherapy, sex, and hemoglobin level (p < 0.05). The patients in high OPNI group had a longer overall survival (OS) (15.3 vs. 10.6 months, p < 0.001) and progression-free survival (PFS) (6.7 vs. 5.3 months, p < 0.001) compared to the patients in low OPNI group. A multivariate analysis using Cox regression model revealed that a high OPNI score was an independent prognostic factor of OS (HR = 1.535, p = 0.002) and PFS (HR = 1.336, p = 0.014), but failed to demonstrate a statistical significance of pretreatment OPNI scores in predicting treatment response (p = 0.56).

CONCLUSIONS

Pretreatment OPNI is an independent prognostic factor for OS and PFS in metastatic NSCLC patients treated with first-line chemotherapy. Thus, it may be used as easily calculated and low-cost prognostic tool in the routine clinical practice in this patient group.

A novel prognostic marker based on risk stratification with prognostic nutritional index and age for nasopharyngeal carcinoma patients who received neoadjuvant chemotherapy

Aim: To evaluate the prognostic value of pretreatment prognostic nutritional index (PNI) in nasopharyngeal carcinoma (NPC) patients treated with neoadjuvant chemotherapy followed by concurrent chemoradiotherapy. Materials & methods: We conducted a retrospective study on prognostic value of PNI in NPC patients. A new prognostic marker was explored based on risk stratification with PNI and age. Results: PNI and age were two independent prognostic factors for overall survival (OS) and progression free survival besides node stage and clinical stage. Low prognostic nutritional index and high age (LPNI-HAge) was identified as an independent prognostic factor for both OS (p < 0.001) and progression free survival (p = 0.008), which has a better predict value than sole PNI or age. Conclusion: The novel prognosis index LPNI-HAge provides prognostication of OS and progression free survival for NPC patients treated with neoadjuvant chemotherapy plus concurrent chemoradiotherapy.

Prognostic nutritional index is associated with disease severity and relapse in ANCA-associated vasculitis

AIM

The prognostic nutritional index (PNI), calculated by serum albumin and peripheral blood lymphocyte count, is considered to reflect immune-related nutritional status. In this study, we first investigated the clinical significance of PNI in patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV).

METHOD

Medical records of 160 patients classified as AAV from October 2000 to September 2017 were reviewed. We calculated the Birmingham vasculitis activity score (BVAS) and collected laboratory data including erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) level, white blood cell, lymphocyte, and platelet counts, and serum albumin, aspartate aminotransferase, and alanine aminotransferase levels at diagnosis. PNI at diagnosis was calculated as (10 × serum albumin [g/dL] + 0.005 × lymphocyte count [/mm³ ]). Associations between laboratory variables, PNI, and BVAS were assessed by linear regression analyses, and Cox proportional hazard analysis was used to evaluate factors associated with disease relapse.

RESULTS

The mean age was 55.2 years and 48 patients (30.0%) were male. In univariable linear regression analysis, BVAS was positively correlated with ESR and CRP and negatively with lymphocyte count, serum albumin, and PNI (r = -0.307). In multivariable linear regression analysis, among ESR, CRP, and PNI, PNI was associated with BVAS (β = -0.299). PNI also significantly correlated with the included laboratory data. In Cox proportional hazard analysis, myeloperoxidase-antineutrophil cytoplasmic antibody positivity (odds ratio [OR] 2.875, P = 0.003) and PNI ≤36.75 (OR 2.066, P = 0.042) revealed to be independent predictors of disease relapse during the follow-up period.

CONCLUSIONS

Prognostic nutritional index at diagnosis might be useful for assessing disease severity and predicting the prognosis of AAV patients.

Low pre-treatment nutritional index is significantly related to poor outcomes in small cell lung cancer

Background

The importance of nutritional status and chronic inflammation has been emphasized in cancer. We investigated the impact of Onodera's prognostic nutritional index (OPNI) on clinical outcomes in small cell lung cancer (SCLC) patients.

Methods

Data from 220 SCLC patients treated with first‐line platinum‐based chemotherapy from 2006 to 2017 were retrospectively reviewed. The OPNI was calculated as 10 × serum albumin level (g/dL) + 0.005 × absolute lymphocyte count (/mm³). Patients with an OPNI of > 45, 40–45, or < 40 were categorized in high, intermediate, or low OPNI groups, respectively.

Results

The proportion of non‐responders to first‐line therapy increased as the OPNI decreased (high, intermediate, low OPNI groups: 6.7%, 18.0%, and 30.8%, respectively; P < 0.001). Early discontinuation of first‐line therapy because of treatment toxicity occurred more frequently in the lower OPNI groups (high, intermediate, low OPNI groups: 5.8%, 21.3%, and 25.6%, respectively; P < 0.001). The one‐year progression‐free and overall survival rates in the high, intermediate, and low OPNI groups were 29%, 19%, and 3%, and 61%, 46%, and 23%, respectively. In multivariate analyses, the low OPNI group was independently associated with poor progression‐free (hazard ratio 1.592; 95% confidence interval 1.009–2.511; P = 0.046) and overall (hazard ratio 1.911; 95% confidence interval 1.208–3.024; P = 0.006) survival compared to the high OPNI group.

Conclusion

SCLC patients with an OPNI < 40 showed a low tolerance to chemotherapy and a poor prognosis. Further evaluation is needed to validate these findings.