The Naples Prognostic Score Is an Independent Prognostic Factor for Gastric Cancer Patients Who Receive Curative Treatment

BACKGROUND/AIM

This study aimed to evaluate the clinical impact of the Naples Prognostic Score (NPS) in patients with gastric cancer and to clarify the potential of the NPS as a nutritional and inflammation evaluation system.

PATIENTS AND METHODS

This study included 158 patients who underwent curative treatment for gastric cancer between 2005 and 2020. The prognosis and clinical pathological parameters of the high-NPS (NPS >2) and low-NPS (NPS=0, 1) groups were analyzed.

RESULTS

The overall survival (OS) rates at 3 and 5 years were 86.7% and 77.7%, respectively, in the low-NPS group and 55.4% and 47.4%, respectively, in the high-NPS group. There were significant differences in OS between the two groups. Uni- and multivariate analyses demonstrated that the NPS was an independent prognostic factor for OS (HR=2.495, 95%CI=1.240-5.451). In addition, the 3- and 5-year recurrence-free survival (RFS) rates were 82.1% and 76.0%, respectively, in the NPS-low group, and 43.8% and 36.6% in the NPS-high group. Univariate and multivariate analyses demonstrated that the NPS was an independent prognostic factor for RFS (HR=2.739, 95%CI=1.509-4.972). When the first site of recurrence was compared between the low-NPS group and high-NPS group, there were significant differences in peritoneal recurrence (8.7% vs. 34.3%, p=0.001) and hematologic recurrence (5.6% vs. 21.9%, p=0.004).

CONCLUSION

The NPS was a significant prognostic factor in patients with gastric cancer who received curative treatment. The NPS may be a promising biomarker for the treatment and management of gastric cancer.

The Naples Prognostic Score Is a Useful Tool to Assess Surgical Treatment in Non-Small Cell Lung Cancer

Different prognostic scores have been applied to identify patients with non-small cell lung cancer who have a higher probability of poor outcomes. In this study, we evaluated whether the Naples Prognostic Score, a novel index that considers both inflammatory and nutritional values, was associated with long-term survival. This study presents a retrospective propensity score matching analysis of patients who underwent curative surgery for non-small cell lung cancer from January 2016 to December 2021. The score considered the following four pre-operative parameters: the neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, serum albumin, and total cholesterol. The Kaplan-Meier method and Cox regression analysis were performed to evaluate the relationship between the score and disease-free survival, overall survival, and cancer-related survival. A total of 260 patients were selected for the study, though this was reduced to 154 after propensity score matching. Post-propensity Kaplan-Meier analysis showed a significant correlation between the Naples Prognostic Score, overall survival (p = 0.018), and cancer-related survival (p = 0.007). Multivariate Cox regression analysis further validated the score as an independent prognostic indicator for both types of survival (p = 0.007 and p = 0.010, respectively). The Naples Prognostic Score proved to be an easily achievable prognostic factor of long-term survival in patients with non-small cell lung cancer after surgical treatment.

A Novel Score to Predict One-Year Mortality after Transcatheter Aortic Valve Replacement, Naples Prognostic Score

Background and Objectives: Aortic stenosis (AS) is a widespread valvular disease in developed countries, primarily among the elderly. Transcatheter aortic valve replacement (TAVR) has become a viable alternative to aortic valve surgery for patients with severe AS who are deemed a high surgical risk or for whom the AS is found to be inoperable. Predicting outcomes after TAVR is essential. The Naples Prognostic Score (NPS) is a new scoring method that evaluates nutritional status and inflammation. Our study is aims to examine the relationship between the NPS and outcomes for patients receiving TAVR. Material and Methods: We conducted a retrospective study of 370 patients who underwent TAVR across three tertiary medical centres from March 2019 to March 2023. The patients were divided into two groups based on their NPS, namely, low (0, 1, and 2) and high (3 and 4). Our study is primarily aimed to determine the one-year mortality rate. Results: Within one year, the mortality rate for the entire group was 8.6%. Nonetheless, the low-NPS group had a rate of 5.0%, whereas the high-NPS group had a rate of 13%. The difference between the two groups was statistically significant, with a p-value of 0.06. Conclusions: Our results show that NPS is an independent predictor of one-year mortality in patients undergoing TAVR.

Impact of Naples Prognostic Score on midterm all-cause mortality in patients with decompensated heart failure

Aim: This work was designed to investigate the relationship between cardiac outcomes and Naples Prognostic Score (NPS) among heart failure (HF) patients. Materials & methods: This retrospective observational study enrolled 298 consecutive individuals hospitalized for New York Heart Association class 3-4 HF. The primary outcome was all-cause mortality. Secondary outcomes were rehospitalization and in-hospital death. Results: The high NPS group had a statistically greater rate of all-cause mortality (p < 0.001). In Cox regression analysis, integrating NPS considerably improved the performance of the full model over the baseline model (adjusted hazard ratio = 2.28; p = 0.004). Based on time-dependent receiver operating characteristic curve analysis, the NPS model outperformed the baseline and CONUT score models in discriminatory power in predicting the probability of survival. Conclusion: NPS was associated with short- and midterm mortality as well as rehospitalization.

Predictive value of the Naples prognostic score on postoperative outcomes in patients with rectal cancer

PURPOSE

The Naples prognostic score (NPS) is a prognostic index based on the nutritional and inflammatory status. However, its utility in predicting postoperative complications (POCs) has not been examined in rectal cancer (RC). We evaluated the predictive value of the preoperative NPS for POCs in RC.

METHODS

We retrospectively analyzed 235 patients who underwent surgery for RC. The NPS was calculated based on serum albumin, serum total cholesterol, the neutrophil-to-lymphocyte ratio (NLR) and the lymphocyte-to-monocyte ratio (LMR). Severe POCs were defined as Clavien-Dindo classification grade ≥ III. The optimal cut-off value of the NPS was determined by a receiver operator characteristic (ROC) curve analysis. The NPS, NLR, LMR, platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP)-to-albumin ratio (CAR), Glasgow prognostic score (GPS), Onodera prognostic nutritional index (PNI) and controlling nutritional status score (CONUT) were investigated as inflammation-based and/or nutritional markers. Predictors of severe POCs were analyzed by logistic regression modeling.

RESULTS

Severe POCs were observed in 64 patients (27.2%). Male sex, operation time (> 257 min), blood loss (≥ 30 mL), albumin (< 4.0 g/dL), CRP (≥ 1.0 mg/dL), total cholesterol (≤ 180 mg/dL), NPS (≥ 2), LMR (≥ 3.48), PLR (≥ 103.6), CAR (> 0.025), GPS (≥ 1), PNI (< 48.1) and CONUT (≥ 2) were significantly associated with severe POCs. The multivariate analysis revealed that male sex, operation time (> 257 min), and a high NPS (≥ 2) were independent predictors of severe POCs. The ROC curve analysis revealed that the NPS had the greatest predictive value among the inflammation-based and/or nutritional markers.

CONCLUSION

The NPS is a valuable predictor of severe POCs in RC.

Clinical Significance of Preoperative Naples Prognostic Score in Patients With Non-Small Cell Lung Cancer

Background: Naples Prognostic Score (NPS) is a novel score based on inflammatory-nutritional indicators. We aimed to analyze the prognostic value of the Naples Prognostic Score in non-small cell lung cancer (NSCLC) patients following surgery. Methods: A total of 319 NSCLCpatients following surgery were analyzed in the retrospective cohort study. We analyzed the predictive value of Naples Prognostic Score for overall survival and recurrence-free survival in postoperative non-small cell lung cancer patients by using Kaplan-Meier survival curves and multivariate Cox regression analysis. At the same time, the time-dependent ROC and the area under curves were also created to compare the accuracy of different scoring systems. Results: According to NPS, we divided all patients into 3 groups，120 patients were divided into group 0, 161 patients were divided into group 1, and 38 patients were divided into group 2. The median survival time for all patients is 32 months, and the median survival times for different groups were 35 months, 31 months, and 28 months, respectively. The overall survival and recurrence-free survival survival curves of different groups were significantly different (both P < .05), and patients in the higher NPS groups had a disappointing prognosis. NPS may be an independent prognostic factor for overall survival and recurrence-free survival, according to the results of multivariate analysis (both P < .05). The area under curve showed that the accuracy of the NPS was significantly better than other score systems. Conclusions: The NPS is closely related to the long-term survival prognosis of patients with NSCLC, especially in stage III patients.

Prevalence and Prognostic Significance of Malnutrition in Hypertensive Patients in a Community Setting

BACKGROUND

Malnutrition is a significantly poor prognostic factor for a variety of cardiovascular diseases. However, its prevalence and prognostic value in hypertensive patients is still unclear. The present study sought to determine the prevalence and prognostic value of malnutrition in hypertensive patients in a community setting.

METHODS

We included 9,949 hypertensive patients from the National Health and Nutrition Examination Survey (NHANES) (2005-2014). The Controlling Nutritional Status (CONUT) score, the Nutritional Risk Index (NRI), and the Naples Prognostic Score (NPS) were applied to assess the nutritional status of participants. A Cox regression model was established to examine the association between malnutrition and cardiovascular and all-cause mortality.

RESULTS

In all, 19.9, 3.9, and 82.9% hypertensive patients were considered to have malnutrition as evaluated by the CONUT, NRI, and NPS, respectively. Malnutrition assessed by CONUT and NRI was independently associated with cardiovascular mortality (HR [95% CI]) for mild and moderate-to-severe degree of malnutrition, respectively: 1.41 (1.04-1.91) and 5.79 (2.34-14.29) for CONUT; 2.60 (1.34-5.07) and 3.30 (1.66-6.56) for NRI (all P < 0.05), and for all-cause mortality (HR [95% CI]) for mild and moderate-to-severe degree of malnutrition, respectively: 1.48 (1.30-1.70) and 4.87 (3.40-6.98) for CONUT; 1.72 (1.24-2.39) and 2.60 (1.96-3.44) for NRI (all P < 0.01). Naples Prognostic Score could only independently predict all-cause mortality.

CONCLUSIONS

Malnutrition was common among hypertensive patients and was closely associated with both long-term cardiovascular and all-cause mortality.

Corrigendum: Prevalence and Prognostic Significance of Malnutrition in Hypertensive Patients in a Community Setting

[This corrects the article DOI: 10.3389/fnut.2022.822376.].

Which Nutritional Scoring System Is More Suitable for Evaluating the Short- or Long-Term Prognosis of Patients with Gastric Cancer Who Underwent Radical Gastrectomy?

OBJECTIVE

To evaluate the effects of three nutritional scoring systems: Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT), and Naples Prognostic Score (NPS) on the short- or long-term prognosis of gastric cancer (GC) patients who underwent radical gastrectomy.

METHODS

The clinicopathological data of 2182 patients who underwent radical gastrectomy at the Fujian Medical University Union Hospital (FMUUH) from 2009 to 2014 were retrospectively analyzed. The effects of the PNI, CONUT, and NPS on the short- or long-term prognosis of GC patients were analyzed.

RESULTS

Overall, 359 (16.5%) patients had postoperative complications. There was no significant association between the PNI, CONUT, and NPS and postoperative complications (P > 0.05); however, high CONUT and NPS were significantly associated with severe postoperative complications (P < 0.05). Univariate analysis showed that PNI, CONUT, and NPS were all associated with overall survival (OS) (P < 0.001). However, multivariate analysis showed that only PNI was an independent risk factor for OS (P = 0.004), and the 5-year OS rate in the low PNI group was significantly lower than that in the normal PNI group (55.5% vs 75.4%, P < 0.05). The area under the curve (AUC) and the c-index of PNI were significantly higher than those of CONUT and NPS. The prognostic efficiency of combining PNI and TNM stage was also significantly better than that of TNM staging alone (P < 0.05).

CONCLUSION

The current study demonstrated that CONUT and NPS are important for assessing the risk of severe postoperative complications. However, PNI is an independent risk factor for the long-term prognosis of GC patients who underwent radical gastrectomy and can improve the prognostic efficiency of TNM staging.