Naples Prognostic Score, Based on Nutritional and Inflammatory Status, is an Independent Predictor of Long-term Outcome in Patients Undergoing Surgery for Colorectal Cancer

The importance of Naples prognostic score in predicting long-term mortality in heart failure patients

BACKGROUND

Heart failure (HF) remains a significant health problem despite advances in diagnosis and treatment options. Malnutrition and increased inflammation predict poor disease prognosis. The parameters of the Naples prognostic score (NPS) include albumin, total cholesterol, neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR). We aimed to assess the potential of NPS as a predictor of long-term mortality in patients with HF.

METHODS

A total of 1728 patients with HF who applied to our center between 2018 and 2022 were included in this study. The NPS was computed and the patients were divided into three groups according to their NPS values as follows: NPS = 0 (Group 1), NPS = 1-2 (Group 2), and NPS = 3-4 (Group 3). We also evaluated the association between NPS value and HF mortality.

RESULTS

The patients were followed for a mean follow-up duration of 30 months. The mortality rate was 8.3% (145 patients). We carried out Model-1 and -2 Cox regression analyses to identify long-term mortality determinants. Model-2 was constructed by adding NPS to Model-1. NPS was significantly associated with HF mortality (Hazard Ratio: 2.194, 95% Confidence Interval: 1.176-4.091, p = 0.014). According to the Kaplan-Meier plot and log-rank analyses, there was a statistically significant difference in the long-term mortality of patients with HF and their NPS values for the entire cohort.

CONCLUSION

Based on our findings, NPS showed promise as an independent predictor of long-term mortality in individuals with HF.

Predicting postoperative atrial fibrillation after cardiac surgery using the Naples prognostic score

INTRODUCTION

The Naples prognostic score (NPS) is a novel indicator of nutritional and inflammatory statuses in cancer patients. Development of atrial fibrillation after cardiac surgery (POAF) is a common complication that increases the incidence of adverse events. Numerous studies have investigated predictors of POAF. Yet, this study is the first to evaluate the prognostic value of NPS in predicting the development of POAF.

MATERIALS AND METHODS

The population of this retrospective single-center case-control study consisted of all consecutive patients who underwent cardiac surgery between January 2021 and December 2023. The patients included in the study sample were divided into two groups according to whether they had POAF (group POAF) or remained in sinus rhythm (group RSR). Univariate and multivariate analyses were conducted to identify the variables that significantly predicted the development of POAF.

RESULTS

This study consisted of 860 patients with a mean age of 61.77 ± 9.13 years and 77.5% ( n  = 667) were male. The incidence of POAF in the sample was 24.8% ( n  = 214). NPS was significantly higher in group POAF than in group RSR (2.18 ± 0.99 vs. 1.96 ± 1.02, P  = 0.008). Multivariate analysis revealed age [odds ratio (OR): 1.242, 95% confidence interval (CI): 1.020-1.304, P  < 0.001] and high NPS (OR: 1.698, 95% CI: 1.121-1.930, P  < 0.010) as independent predictors of POAF.

CONCLUSION

High NPS values, along with advanced age, were found to be strongly associated with an increased risk of developing POAF. Therefore, it is concluded that NPS is a significant and independent predictor of POAF in patients undergoing cardiac surgery.

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.

Associations of Naples prognostic score with stroke in adults and all cause mortality among stroke patients

This study seeks to assess the associations of Naples Prognostic Score with stroke in adults and all cause mortality among stroke patients. We analyzed data from 44,601 participants in the 2005-2018 National Health and Nutrition Examination Survey (NHANES). The Naples Prognostic Score (NPS) was derived from total cholesterol, serum albumin, neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR). Participants were classified into three groups based on their NPS. Stroke incidence was determined through self-reported questionnaires, and mortality data were diligently tracked using the National Death Index. We investigated the relationship between NPS and stroke prevalence using multiple logistic regression analysis. To explore the association between NPS and all cause mortality in stroke survivors, we applied Kaplan-Meier survival analysis and Cox proportional hazards models. Furthermore, we conducted a detailed subgroup analysis to assess interaction effects on all cause mortality risk within this population. The median age of the participants was 50.00 years [interquartile range: 35.00-64.00], with males comprising 49.36% of the study. The overall stroke prevalence was 3.93%. Participants were categorized into three groups based on their NPS: 6,328 (18.1%) in Group 0 (NPS 0), 24,015 (68.8%) in Group 1 (NPS 1 or 2), and 4,580 (13.1%) in Group 2 (NPS 3 or 4). After adjusting for covariates, individuals in Group 2 exhibited a significantly higher stroke prevalence compared to Group 0, with an odds ratio (OR) of 1.82 [95% confidence interval: 1.48-2.23]. Among the 1372 patients with a history of stroke, with a median follow-up duration of 5.94 years, we utilized Cox proportional hazards models to assess the relationship between NPS and all cause mortality risk. The analysis revealed that, after adjusting for covariates, stroke patients in Group 2 faced a significantly elevated risk of all cause mortality (hazard ratio [HR] = 2.21 [95% confidence interval: 1.44-3.11]) compared to those in Group 0. Subsequent subgroup analyses to explore interaction effects on all cause mortality risk among stroke patients shown no significant interactions (p for interaction > 0.05). This study indicate a positive correlation between NPS and the risk of stroke in adults, as well as all cause mortality in stroke patients.

Relationship between nutritional-inflammatory markers and postoperative outcomes in ovarian cancer: a retrospective study

Background

Elevated inflammatory markers are commonly linked to poor prognoses in cancer patients, while optimal nutritional status correlates with improved survival outcomes. This study aimed to explore the interplay between nutritional and inflammatory markers and their impact on postoperative outcomes in ovarian cancer patients through a retrospective analysis.

Methods

Data were retrospectively retrieved from patients diagnosed with ovarian cancer who required surgical intervention at the Department of Obstetrics and Gynecology. Overall survival (OS) and cancer-specific survival (CSS) were monitored during follow-up. Kaplan-Meier survival curves were employed to assess OS and CSS across different patient cohorts, evaluating the prognostic significance of nutritional and inflammatory markers. Nomograms for predicting OS and CSS at one, three, and five years postoperatively were constructed, followed by external validation.

Results

The prognostic nutritional index (PNI) and Naples prognostic score (NPS) exhibited a significant correlation with OS and CSS in postoperative ovarian cancer patients (p < 0.05). Analysis indicated that patients with a PNI > 51.2 demonstrated the most favorable survival outcomes. Furthermore, those with a low-NPS (L-NPS) had notably better survival rates compared to their high-NPS (H-NPS) counterparts. Independent OS predictors included age, PNI, NPS, histological type, tumor size, targeted therapy, and diabetes. Similarly, the CSS prediction model incorporated age, NPS, tumor size, targeted therapy, and diabetes. The nomograms demonstrated robust predictive accuracy for three- and five-year survival, though one-year calibration curves showed limited agreement. Despite slightly reduced external validation performance compared to the initial sample, the model maintained strong predictive capability.

Conclusions

The nutritional inflammatory index serves as a key independent prognostic marker for OS and CSS in ovarian cancer patients. Nomograms based on PNI and NPS provide valuable prognostic insights for postoperative management. Incorporating these indices into clinical practice could improve patient stratification and guide personalized treatment plans.

Predictive Value of the Naples Prognostic Score for One-Year Mortality in NSTEMI Patients Undergoing Selective PCI

Objectives: Non-ST-elevation myocardial infarction (NSTEMI) is a common and severe condition that requires rapid and accurate risk assessment and treatment. The Naples prognostic score (NPS) is a novel risk score that integrates nutritional and inflammatory parameters. The aim of this study was to investigate the NPS as a predictor of one-year mortality in NSTEMI patients undergoing percutaneous coronary intervention (PCI). Methods: This retrospective study included 197 NSTEMI patients who underwent selective PCI from January 2020 to December 2020. The NPS was calculated based on the total cholesterol, serum albumin, neutrophil/lymphocyte ratio, and lymphocyte/monocyte ratio. Patients were categorized into two groups based on their NPS values: Group 1 (NPS 0-2) and Group 2 (NPS 3 or 4). The one-year mortality status of the patients was determined through phone calls or by querying the national death registry system. Results: During the follow-up period, the overall mortality rate was 19.3% (n = 38). The high NPS group exhibited a significantly higher mortality rate compared to the low NPS group, with rates of 33.7% and 8.1%, respectively (p < 0.001). A Cox regression analysis indicated that a high NPS score is an independent predictor of one-year mortality, with a hazard ratio of 4.52 (95% CI: 1.93-10.58; p < 0.001). Conclusions: The NPS is a simple, cheap, and easily accessible tool that can be used for risk stratification and treatment selection in NSTEMI patients. It also highlights the importance of inflammatory and nutritional status in influencing the prognosis of NSTEMI patients.

Predictive value of the inflammatory indices on wound healing in patients with chronic limb-threatening ischemia revascularized via percutaneous intervention

INTRODUCTION

Peripheral artery disease (PAD) is a common manifestation of atherosclerosis. Despite the effectiveness of endovascular therapy (EVT), patients with PAD often face poor prognoses. This study investigates the relationship between specific inflammatory indices and wound healing in patients with Fontaine stage 4 chronic limb-threatening ischemia (CLTI).

METHODS

From June 2021 to January 2024, 168 patients with Fontaine stage 4 CLTI, totaling 185 affected extremities, who underwent successful EVT, were assessed retrospectively. Patients were categorized based on wound healing post-EVT. The Naples prognostic score (NPS), pan-immune inflammation value (PIV), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) were calculated. Discrimination and decision curve analyses were used to explore the link between inflammation and wound healing.

RESULTS

Wound healing was observed in 142 (76.8%) patients post-EVT. Nonhealing patients exhibited higher indices of NPS, PIV, SII, and SIRI. NPS (aOR = 0.381, 95% CI 0.215-0.675, p = 0.001), PIV (aOR = 0.997, 95% CI 0.996-0.999, p < 0.001), SII (aOR = 0.997, 95% CI 0.996-0.997, p < 0.001), and SIRI (aOR = 0.443, 95% CI 0.313-0.625, p < 0.001) were independently predictive of wound healing. SIRI (AUC = 0.840, 95% CI 0.777-0.904) demonstrated superior predictive ability compared to PIV (AUC = 0.799, 95% CI 0.722-0.876, pdif < 0.001), SII (AUC = 0.788, 95% CI 0.712-0.865, pdif < 0.001), and NPS (AUC = 0.760, 95% CI 0.681-0.838, pdif < 0.001). SIRI also showed higher net reclassification improvement over PIV (68.4%, pdif < 0.001), SII (38.5%, pdif = 0.024), and NPS (29.8%, pdif = 0.079). All inflammatory indices, especially SIRI, provided prognostic value in determining wound healing at high treatment thresholds (> 40%).

CONCLUSION

In patients with CLTI undergoing EVT, SIRI, SII, PIV, and NPS may help predict the potential for wound healing during in-hospital follow up, with SIRI being the strongest predictor.

Association of Naples Prognostic Score with cardiovascular disease risk and its longitudinal prognostic impact on mortality in cardiovascular disease patients: Evidence from NHANES

BACKGROUND AND AIM

The Naples Prognostic Score (NPS) predicts outcomes in various diseases, but its impact on cardiovascular disease (CVD) is understudied. This study investigates the association between NPS and CVD prevalence and mortality among US adults.

METHODS AND RESULTS

This study utilized data from the Continuous National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2016, with mortality follow-up data available through December 31, 2019. NPS was calculated using serum albumin, total cholesterol, neutrophil to lymphocyte ratio, and lymphocyte to monocyte ratio. Participants were stratified into low, moderate, and high NPS groups. Multiple logistic regression estimated odds ratios (OR) for CVD prevalence, while Cox proportional regression estimated hazard ratios (HR) for mortality. Of 39,572 participants, 20.24 % were in the low group, 69.79 % in the moderate group, and 9.96 % in the high group. After adjusting for confounders, the CVD prevalence ORs for moderate and high groups were 1.19 (95 % CI: 1.05, 1.34) and 1.78 (95 % CI: 1.53, 2.07), respectively (P for trend <0.001). Compared to the low group, the high group had adjusted HRs of 1.92 (95 % CI: 1.54, 2.41) for all-cause mortality, 1.61 (95 % CI: 1.12, 2.34) for cardiovascular mortality, and 1.83 (95 % CI: 1.11, 3.02) for cancer-related mortality (all P for trend <0.01). These associations remained significant across all subgroups.

CONCLUSION

NPS is an independent risk factor for CVD and is positively associated with all-cause and cardiovascular mortality in individuals with CVD.

The naples prognostic score as a new predictor for heart failure: A cross-sectional study

BACKGROUND

The Naples prognostic score (NPS), a novel nutritional and inflammatory index, holds great promise for predicting the prognosis of heart failure (HF), but research on its association with HF outcomes is limited.

OBJECTIVE

To analyze the relationship between the NPS and the incidence rate and long-term prognosis of HF.

METHODS

Participants from the National Health and Nutrition Examination Survey (NHANES) data were allocated into three groups (group 0 (the NPS=0), group 1-2 (the NPS=1-2), and group 3-4 (the NPS=3-4)) based on the NPS level. Regression analysis was conducted to examine the relationship between the NPS and HF prevalence, and ROC curve analysis was employed to determine the prediction accuracy. The Cox proportional hazards model and Kaplan-Meier survival curves analyzed mortality risk, with subgroup and sensitivity analyses for model stability.

RESULTS

The study included 47,300 individuals (mean age 47.18 years; 51.07% female; 68.86% non-Hispanic white). The HF prevalence was 2.30% (95% CI: 1.66, 3.17). Among 1,581 HF patients, 851 all-cause deaths occurred during a median follow-up of 6.84 years. In groups 3-4, the risk of all-cause, cardiovascular, and cancer mortality was significantly higher (4.18, 4.89, and 16.93, respectively, all p < 0.05) compared to group 0. Furthermore, a significant difference was observed in the association between the NPS and cancer mortality across age subgroups (p < 0.05). In contrast, there was no significant interaction between the NPS and all-cause mortality or cardiovascular mortality in subgroup analyses.

CONCLUSIONS

The NPS is a low-cost and easy-to-calculate prognostic score that helps predict the clinical course of patients with HF.

The Naples prognostic score as a new predictive index of severe abdominal aortic calcification: a population-based study

Purpose

Abdominal aortic calcification (AAC) is related to inflammation and nutritional status. The Naples prognostic score (NPS) is an innovative biological marker capable of reflecting systemic inflammation and nutritional status. This research seeks to investigate the correlation of NPS with severe abdominal aortic calcification (SAAC).

Methods

The research evaluated data obtained from the National Health and Nutrition Examination Survey (NHANES) conducted between 2013 and 2014. The variables were filtered utilizing the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Weighted logistic regression models were employed to examine the association of NPS with SAAC. The predictive value of NPS for the risk of SAAC was assessed utilizing the receiver operating characteristic (ROC) curve. A subgroup analysis was conducted to assess the strength and reliability of the research findings.

Results

The research encompassed 2,854 participants, among whom 303 (11.87%) exhibited SAAC. The outcomes of multivariate weighted logistic regression revealed that participants with a NPS of 3-4 points was positively correlated with SAAC in comparison to the control group [odds ratio (OR) = 2.07, 95% confidence interval (95%CI): 1.17-3.67]. The area under the curve (AUC) for predicting the risk of SAAC using NPS was 0.635. The subgroup analysis results indicated that there was no significant difference noted in the association of NPS with SAAC across various population subgroups.

Conclusion

A positive association of NPS with SAAC has been observed in this research. This study offers valuable insights into the prevention and diagnosis of SAAC. Future longitudinal studies are warranted to confirm causative relationships and assess the role of NPS in clinical decision-making for SAAC.

The impact of the Naples prognostic score in long-term outcomes after percutaneous coronary intervention for chronic total occlusions

BACKGROUND

Chronic total occlusions (CTOs) of coronary arteries present a significant challenge in cardiology, with long-term outcomes following percutaneous coronary intervention (PCI) for CTOs remaining variable and unpredictable. The Naples prognostic score (NPS), which incorporates markers of nutritional status and systemic inflammation, has shown potential in predicting outcomes in various cardiovascular settings. This study evaluates the NPS as a predictor of long-term outcomes after PCI for CTOs.

METHODS

A retrospective analysis was conducted on 287 patients who underwent coronary angiography. Patients were categorized into non-CTO-PCI and CTO-PCI groups. Patients were further stratified based on survival status. Cox regression and Kaplan-Meier survival analyses were used to evaluate the association between NPS and long-term outcomes.

RESULTS

The mean age of the study population was 63.5 ± 10.6 years, with 28.6% being female. The NPS was significantly higher in the CTO-PCI group compared to the non-CTO-PCI group ( P = 0.004) and was also elevated in the non-survival group ( P = 0.004). Multivariable Cox regression analysis identified NPS as an independent predictor of mortality ( P = 0.015). Kaplan-Meier analysis demonstrated significantly higher mortality in patients with an elevated NPS ( P = 0.009).

CONCLUSION

The NPS is a valuable independent predictor of long-term mortality in patients undergoing CTO-PCI. Incorporating NPS into existing risk stratification models could improve predictive accuracy and guide individualized patient management. Further prospective studies are warranted to validate these findings and explore interventions targeting inflammation and nutrition in this high-risk population.

Predictors of long-term all-cause mortality after carotid artery stenting: evaluation of the Naples prognostic score

BACKGROUND

Mortality in patients after carotid artery stenting (CAS), a treatment approach for atherosclerotic carotid artery stenosis, is influenced by numerous factors. This study aimed to investigate the prognostic value of the Naples prognostic score (NPS), which reflects nutritional and inflammatory status, in CAS patients.

METHODS

We retrospectively included 697 patients who underwent CAS from January 2016 to December 2020 at our institute. The primary endpoint of the study was long-term all-cause mortality. The study population was divided into two groups based on the NPS value: Low NPS (NPS 0-2) and high NPS (NPS 3-4). Univariable and multivariable Cox regression analysis was used to identify independent predictors of death.

RESULTS

The median follow-up time was 60.8 (46.36-75.36) months. During the follow-up period, all-cause mortality was higher in the high-NPS group compared to the low-NPS group [54% (n = 88) vs. 24% (n = 128) p < 0.001]. Advanced age (p = 0.003), diabetes (p = 0.023), and NPS (hazard ratio: 1.83, confidence interval: 1.58-2.12, p < 0.001) were found to be independent predictors of all-cause mortality at long-term follow-up.

CONCLUSION

Consequently, NPS as a marker of malnutrition and inflammation, was found to be associated with long-term mortality and serves as an independent predictor of long-term mortality in patients undergoing CAS.

Clinical significance of the Naples prognostic score in predicting short- and long-term postoperative outcomes of patients with hepatocellular carcinoma

BACKGROUND

The Naples prognostic score (NPS) is a remarkable marker of short- and long-term outcomes in various types of cancer. However, its impact on the postoperative outcomes of hepatocellular carcinoma remains controversial. This study aimed to clarify the impact of the NPS on the prognosis and incidence of postoperative complications in hepatocellular carcinoma.

METHODS

Patients with hepatocellular carcinoma (n = 374) were categorized into high- and low-Naples prognostic score groups; their postoperative outcomes were compared. Prognostic and risk factors for severe postoperative complications were identified using multivariate analyses.

RESULTS

The low-Naples prognostic score group had significantly longer overall and recurrence-free survivals than the high-Naples prognostic score group (p = 0.03 and 0.04, respectively). Subgroup analysis revealed a superior predictive value of the NPS in the group with a single tumor (p = 0.03), tumor diameter ≤5 cm (p = 0.04), and tumor stage I or II (p = 0.04). A high NPS was an independent prognostic factor for overall survival (hazard ratio, 1.45; 95% confidence interval (CI), 1.01-2.05; and p = 0.04). The NPS 2-4 group had a higher incidence of the Clavien-Dindo grade ≥ IIIa postoperative complications than the 0-1 group (p = 0.03) and a score of 2-4 was identified as an independent risk factor for the Clavien-Dindo grade ≥ IIIa postoperative complications (odds ratio, 2.06; 95% CI, 1.01-4.20; and p = 0.05).

CONCLUSIONS

The NPS effectively predicts postoperative outcomes in patients with hepatocellular carcinoma.

The prognostic significance of malnutrition in older adult patients with acute ischemic stroke

Background

Malnutrition is associated with an unfavorable prognosis; however, malnutrition in hospitalized patients is frequently overlooked by clinicians. This highlights the importance of accurately assessing nutritional status and providing appropriate nutritional supplementation. The most appropriate nutritional assessment tool for predicting the short-term prognosis of older adult patients with Acute Ischemic Stroke (AIS) was identified from five nutritional assessment tools, including the Prognostic Nutrition Index (PNI), the Hemoglobin, Albumin, Lymphocyte and Platelet (HALP) Score, the Naples Prognostic Score (NPS), the Geriatric Nutritional Risk Index (GNRI), and the Controlling Nutritional Status (CONUT) Score.

Methods

A total of 585 older adult patients with Acute Ischemic Stroke (AIS) were retrospectively analyzed and divided into two groups according to the modified Rankin Scale (mRS) score. The first group, comprising 111 cases, was classified as having a poor prognosis (mRS score > 2), while the second group, consisting of 391 cases, was classified as having a good prognosis (mRS score ≤ 2). A total of five nutritional assessment tools, including PNI, HALP Score, NPS, GNRI, and CONUT, were employed to evaluate the nutritional status of older adult patients with AIS and for the analysis of the relationship between nutritional status and prognosis. The incremental value of five nutritional assessment tools in predicting patient prognosis was compared by means of the Integrated Discriminant Improvement Index (IDI) and the Net Reclassification Index (NRI). The efficacy of each nutritional assessment tool in forecasting the incidence of unfavorable outcomes in older adult patients with AIS within a one-year timeframe was evaluated by utilizing the area under the receiver operating characteristic curve (AUC), calibration curves, and decision analysis curves. Comparative analyses were also conducted.

Result

Among the five nutritional assessment tools, the PNI (AUC: 0.619, 95% CI: 0.560-0.679, p < 0.001) and HALP score (AUC: 0.612, 95% CI: 0.552-0.672, p < 0.001) demonstrated a significantly greater area under the ROC curve (AUC) compared to the NPS (AUC: 0.597, 95% CI: 0.536-0.658, p = 0.002), CONUT score (AUC: 0.582, 95% CI: 0.520-0.644, p = 0.009), and GNRI (AUC: 0.590, 95% CI: 0.529-0.651, p < 0.001). When compared to BMI, PNI exhibited a more pronounced improvement in the integrated discrimination index (IDI: 0.0203, p = 0.0061). Similarly, the net reclassification index (NRI) also showed a significant improvement (NRI: 0.2422, p = 0.024), indicating the superior performance of PNI in risk stratification.

Conclusion

Among the five types of nutritional assessment tools employed in this study, the PNI was the most effective at predicting a poor prognosis at one year in older adult patients with AIS.

Evaluation of NAPLES Prognostic Score to Predict Long-Term Mortality in Patients with Pulmonary Embolism

Background/Objectives: Acute pulmonary embolism (APE) is a clinical syndrome characterized by the obstruction of blood flow in the pulmonary artery, whose main pathophysiological features are respiratory and circulatory dysfunction. Acute pulmonary embolism is associated with a high mortality rate. Diagnostic and therapeutic delays can exacerbate mortality and result in prolonged hospitalization. With the increasing understanding that APE is associated with inflammation, various indices based on systemic inflammation have been shown to predict prognosis in patients with APE. The NAPLES Prognostic Score (NPS) is a new scoring system that indicates the inflammatory and nutritional status of the patient based on albumin (ALB) levels, total cholesterol (TC) levels, lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio (NLR). Our study aimed to examinate the effect of NPS on APE prognosis, so the relationship between NPS and APE prognosis was evaluated in our study. In addition, this study seeks to lay the groundwork for further investigations into this association and expand the existing body of knowledge. Methods: The clinical data of patients who applied to the Dicle University Faculty of Medicine and were diagnosed with APE between March 2014 and April 2024 were evaluated retrospectively, with 436 patients aged 18 years and over included in the study. Patients were divided into two groups according to NPS. It was statistically investigated whether there was a significant difference in long-term mortality between the two groups. Statistical analyses were performed using Statistical Package for the Social Sciences (SPSS) version 21.0. Results: Survival was found to be statistically significantly lower in patients with NPS 3-4 (p < 0.05). In the multivariate regression analyses, no statistically significant effect of NPS or other parameters except lactate on 3-month mortality was found (p > 0.05). The short-term prognostic value of the NPS has been found to be equivalent to that of the sPESI score. It may be considered that APE patients with high NPS scores should be monitored more frequently. Conclusions: Increased NPS was found to be associated with poor APE prognosis in our study.

Development of a Prognostic Nomogram Incorporating the Naples Prognostic Score for Postoperative Oral Squamous Cell Carcinoma Patients

Background

The Naples prognostic score (NPS) and its relation to the prognosis of oral squamous cell carcinoma (OSCC) have been inconclusive. This study aimed to investigate the correlation between NPS and the prognosis of postoperative OSCC patients. Additionally, the study sought to develop a new nomogram for predicting disease-free survival (DFS) and overall survival (OS).

Methods

The study included 576 OSCC patients who underwent surgical treatment at two hospitals between August 2008 and June 2018. Univariate and multivariate Cox regression analyses were conducted to identify independent prognostic factors. Subsequently, two nomograms were developed to predict DFS and OS based on these factors and underwent rigorous validation.

Results

The median DFS and OS were 31.5 months and 36.5 months, respectively. Significant differences in DFS and OS were observed among patients with different NPS scores. Adjuvant radiotherapy, age-adjusted Charlson comorbidity index (ACCI), extranodal extension (ENE), NPS, American Joint Committee on Cancer (AJCC) stage, surgical safety margin, eastern cooperative oncology group performance status (ECOG PS), and systemic inflammation score (SIS) were identified as independent predictors of DFS and OS. In the training cohort, the nomogram's concordance index (C-index) for predicting DFS and OS was 0.701 and 0.693, respectively. In the validation group, the corresponding values were 0.642 and 0.635, respectively. Calibration plots confirmed a high level of agreement between the model's predictions and actual outcomes. Decision curve analysis (DCA) demonstrated the nomogram's good clinical utility. Additionally, patients in the low-risk group did not benefit from adjuvant radiotherapy, while those in the medium-risk and high-risk group could benefit from adjuvant radiotherapy.

Conclusion

NPS significantly influences the prognosis of OSCC patients following surgery. The nomogram developed in this study holds significant clinical application potential. The low-risk subgroup of patients was not required to undergo postoperative radiotherapy.

Prognostic value of the pretreatment Naples prognostic score in patients with colorectal cancer: a systematic review and meta-analysis

Background

The prognostic significance of the Naples prognostic score (NPS) in colorectal cancer remains uncertain. This study aims to investigate the correlation between the pretreatment NPS and long-term oncological outcomes in patients with colorectal cancer.

Methods

A comprehensive literature search of electronic databases, including PubMed, Embase, and Web of Science, was conducted up to July 1st, 2024. The primary outcomes assessed were survival outcomes. Subgroup analysis and sensitivity analysis were performed during the pooled analysis.

Results

Eight studies including 2571 patients were included. The pooled results indicated that patients in the high NPS group exhibited significantly worse overall survival (HR= 2.08 95%CI: 1.74-2.48; P<0.01; I2 = 0%) and disease-free survival (HR=2.03; 95%CI: 1.49-2.77; P<0.01; I2 = 30%). Notably, the prognostic significance of NPS on both overall survival and disease-free survival was consistent across different geographical regions, tumor stages, and primary treatments examined in this study. Furthermore, sensitivity analyses confirmed the robustness of these combined results.

Conclusion

The pretreatment NPS could serve as a valuable biomarker for predicting long-term oncological outcomes in patients diagnosed with colorectal cancer.

Predictive value of the Naples prognostic score for no-reflow phenomenon after saphenous vein graft stenting

BACKGROUND

No-reflow is a critical adverse event associated with percutaneous coronary intervention (PCI), particularly during saphenous vein graft (SVG) procedures. The Naples Prognostic Score (NPS) reflects inflammatory status, but its relationship with no-reflow remains unclear. Therefore, we aimed to evaluate the relationship between NPS and no-reflow occurrence following SVG PCI.

METHODS

We retrospectively analyzed 286 patients who underwent SVG PCI from January 2020 to January 2024, with a median age of 65 years and 85.7% male. Participants were categorized into low NPS (0-2, 48.6%) and high NPS (3-4, 51.4%) groups. Two nested models were developed by adding NPS (continuous and categorical, respectively) to the base model.

RESULTS

Higher no-reflow rates were noted in the high-NPS group (48.5% vs. 9.5%, p < 0.05). Multivariable regression revealed that a higher NPS significantly increased no-reflow risk, with odds ratios of 5.966 (95% CI: 3.066-11.611) for continuous NPS and 10.110 (95% CI: 3.194-32.002) for categorical NPS. Adding NPS to the base model significantly improved predictive performance (likelihood-ratio test p < 0.001). Model 1 demonstrated the best performance (X2 : 84.857, R2 : 0.468) and discriminative ability (AUC: 0.888).

CONCLUSION

Our findings suggest that NPS is a strong predictor of no-reflow following SVG PCI.

The association between Naples Prognostic Score and all-cause and cardiovascular mortality in the general population with metabolic syndrome: A cohort study

BACKGROUND AND AIM

The Naples prognostic score (NPS) is a recognized inflammatory and nutritional scoring system used as a prognostic indicator in various cancers and, more recently, in non-cancer diseases. Its association with mortality in individuals with Metabolic Syndrome (MetS) is understudied. This study aims to investigate the link between NPS and both all-cause and cardiovascular disease (CVD) mortality in adults with MetS.

METHODS AND RESULTS

This study included individuals with MetS from the National Health and Nutrition Examination Survey (NHANES) 1999-2016. Mortality data were linked to National Death Index records up to December 31, 2019. MetS was defined using NCEP ATP III criteria. NPS was calculated using serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio, classifying participants into three groups. Survival differences were assessed using Kaplan-Meier analysis and Log-rank tests. Cox proportional hazards regression determined hazard ratios (HR) with 95 % confidence intervals (CI). The study included 13,757 participants, with 2744 (19.95 %) in the low group, 9140 (66.44 %) in the medium group, and 1873 (13.61 %) in the high group. Over a median follow-up of 9.16 years, there were 3292 all-cause deaths and 1136 cardiovascular deaths. Compared to the low group, the high group had adjusted HRs of 1.74 (95 % CI: 1.51, 2.01) for all-cause mortality and 1.60 (95 % CI: 1.25, 2.04) for cardiovascular mortality (all P for trend <0.01).

CONCLUSIONS

NPS is a significant prognostic indicator for both all-cause and cardiovascular mortality in individuals with MetS, showing a positive correlation with mortality risk, reinforcing its potential clinical utility.

NRS2002 score as a prognostic factor in solid tumors treated with immune checkpoint inhibitor therapy: a real-world evidence analysis

To observe the antitumour efficacy of programmed death 1 (PD-1) inhibitors in the real world and explore the relationship between NRS2002 score or other clinical characteristics and immunotherapy efficacy, we retrospectively analyzed 341 tumor patients who received immune checkpoint inhibitor (ICI) treatment at one center. A total of 341 solid tumor patients treated with ICIs from June 2018 to December 2021 were retrospectively included in this study. Patient characteristics, ICI responses, and survival status were documented, and the relationships between clinical factors and survival were analyzed. Among all patients, the median progression-free survival (PFS) was 5.8 months, and the median overall survival (OS) was 12.5 months. The Performance Status (PS), NRS2002 score, The Naples Prognostic Score (NPS), Lymphocyte and C-reactive protein ratio (LCR), line of therapy, and nutritional support were significantly related to PFS or OS according to univariate analysis. The median PFS and OS were significantly better in the group without nutritional risk (NRS2002 0-2) than those with nutritional risk (NRS2002 ≥ 3) (PFS: HR = 1.82, 95% CI 1.30-2.54, p value < .001; OS: HR = 2.49, 95% CI 1.73-3.59, p value < .001). Cox regression analysis revealed that the NRS2002 score was an independent prognostic factor for both PFS and OS. The objective response rate (ORR) in the group at nutritional risk was lower than that in the group without nutritional risk (8.33% and 19.71%, respectively, p value = .037). Patients at nutritional risk according to the NRS2002 score at initial treatment had a poorer prognosis than those without nutritional risk. The NRS2002 could be used as a preliminary index to predict the efficacy of immune checkpoint inhibitor therapy.

Exploring the link between the Naples prognostic score and the cardio-ankle vascular index

Introduction

Background: the Naples Prognostic Score is a novel scoring system designed to provide a comprehensive assessment of patients' inflammation and nutritional status. Aim: our aim was to investigate the correlation between the Naples Prognostic Score and arterial stiffness, a factor known to be linked with heart failure and acute coronary syndrome. Materials and methods: this prospective study included 142 consecutive patients without a history of cardiovascular disease, inflammatory disease, immunological disease, malignancy, or comorbid conditions other than hypertension. Patients were categorized into two groups based on their Naples Prognostic Scores: Group 1 (score of 0-2) and Group 2 (score of 3 or 4). Arterial stiffness was assessed using the Cardio-Ankle Vascular Index (CAVI) measured with the VaSera VS-1000 device. CAVI values were compared between the groups. Results: the mean age of the patients was 54 ± 9 years. Group 1 comprised 114 (80.3 %) patients, while Group 2 comprised 28 (19.7 %) patients. There were no significant differences in demographic data between the groups (p > 0.005). Additionally, there were no statistically significant differences between Group 1 and Group 2 regarding left CAVI (7.92 ± 1.45 vs. 8.72 ± 1.85; p = 0.295), right CAVI (7.89 ± 1.52 vs. 8.67 ± 1.34; p = 0.332), or left or right ankle brachial index (p > 0.005). Conclusions: despite previous studies indicating a significant association between the Naples Prognostic Score and heart failure or acute coronary syndrome, our study did not observe a significant correlation between this score and arterial stiffness assessed by CAVI.

Blood lipid metabolic biomarkers are emerging as significant prognostic indicators for survival in cancer patients

BACKGROUND

Dyslipidemia is a common comorbidity in patients with cancer, yet the impact of abnormal lipid levels on tumor prognosis remains contentious. This study was conducted to synthesize the current evidence regarding the prognostic utility of blood lipid levels, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), apolipoprotein A1 (ApoA1), and apolipoprotein B (ApoB), in predicting overall survival (OS) and disease-free survival (DFS) in cancer patients.

METHODS

A comprehensive literature search was performed across electronic databases to assess the associations between blood lipid levels and OS or DFS in cancer patients. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to analyze the data. The research protocol was previously submitted to the International Prospective Register of Systematic Reviews (PROSPERO): CRD42023458597.

RESULTS

Our study represents the largest and most extensive evaluation of the prognostic significance of blood lipid levels in cancer to date. It includes a meta-analysis of 156 eligible studies involving 85,173 cancer patients. The findings revealed a significant association between elevated levels of HDL-C, TC, and ApoA1 and improved OS and DFS in cancer patients. In contrast, no significant relationships were identified between LDL-C, TG, and ApoB levels and the OS or DFS of cancer patients.

CONCLUSION

Blood lipids, particularly HDL-C, TC, and ApoA1, emerge as accessible and cost-effective biomarkers that may aid in assessing survival outcomes in cancer patients and potentially inform clinical decision-making.

Prognostic value of the Naples Prognostic Score in adult chronic obstructive pulmonary disease: NHANES 2005-2018

Background

Previous studies have demonstrated that the Naples Prognostic Score (NPS) provides strategic direction in the prognosis of malignant illness. Nevertheless, its relationship with chronic obstructive pulmonary disease (COPD) remains underexplored. Therefore, additional research specifically focusing on the relationship between the Naples Prognostic Score and COPD is necessary to determine its widespread applicability.

Objectives

The objective was to explore the relationship between the NPS and the susceptibility to developing COPD.

Methods

A total of 15,184 participants were included in our research, and statistical analyses were performed after weighting. We used weighted logistic regression to assess whether the NPS and COPD had a relationship, as well as its association with lung function. Subgroup analysis was used to detect the interaction. In addition, Kaplan-Meier survival curves were generated, and adjusted hazard ratios of different causes of death were calculated using Cox regression.

Results

Our investigation examined 15,184 participants' data and then revealed a significant positive link between the NPS and COPD risk, while smoking has an interactive effect on it. A trend toward a decreasing prevalence of lung function indicators such as FEV1 [OR (95%CI), -339.70 (-456.53, -222.87)], FVC [OR (95%CI), -296.70 (-435.34, -158.06)], FEV1/FVC [OR (95%CI), -0.03 (-0.04, -0.02)], predicted FEV1 [OR (95%CI), -0.09 (-0.14, -0.04)], and predicted FVC [OR (95%CI), -0.08 (-0.15, -0.01)] was observed with increased NPS levels. Survival curves were drawn, and Cox regression analysis was conducted by dividing participants into group 0, group 1, and group 2 with NPS values of 0, 1-2, and 3-4, respectively. After assigning participants to groups 0, 1, and 2, with NPS values of 0, 1-2, and 3-4, respectively, the survival curves were created, and the Cox regression analysis was carried out. All-cause mortality [HR (95%CI), 1.68 (1.39-2.85)] and hypertension-related mortality [HR (95%CI), 67.64 (8.88-515.07)] of group 2 were significantly elevated.

Conclusion

The findings of this study suggested that the NPS serves as a robust prognostic indicator of COPD.

Nutritional scores predict the prognosis of patients with pulmonary tuberculosis

Background

Although malnutrition is associated with poor prognosis in Pulmonary Tuberculosis (PTB) patients, no nutrition-based prediction model has been established for PTB. Herein, we explored the clinical utility of common nutrition scores in predicting the prognosis of PTB patients.

Methods

We retrospectively collected clinical baseline data from 167 patients with secondary PTB who had not previously received anti-TB treatment. Subsequently, we determined the CONUT score, PNI index, and NPS score and evaluated the treatment efficacy using changes in lung lesions revealed by the chest CT scan. The Area Under the Receiver Operating Characteristic (AUROC) curve was used to quantify the predictive values of CONUT, PNI, and NPS scores for anti-TB efficacy in new-onset PTB patients, and the critical CONUT, PNI, and NPS values were determined using the Youden Index. We also performed univariate and multivariate analyses of prognostic factors in PTB patients to determine the nutrition scores and other clinical factors associated with the prognosis of patients with the new-onset PTB.

Results

The Youden Index revealed that the critical CONUT score value for patients with PTB was 4.5, with a sensitivity of 72.2% and specificity of 96.6%. In contrast, the critical cut-off values of the PNI index and the NPS score were 39.825 and 3.5, respectively. Univariate analysis of the predictors of poor prognosis in PTB patients showed that patients with diabetes, COPD, pneumonia, and hypoproteinemia (which were risk factors) had a poor prognosis (p < 0.05). Multivariate analysis revealed that the CONUT score, PNI, NPS, and NRS-2002 were independent predictors of unfavorable PTB outcomes, with adjusted ORs of 60.419 (95%CI: 16.186-225.524, p < 0.0001), 23.667 (95% CI: 9.317-60.115, p < 0.0001), 8.512 (95% CI: 3.762-19.257, p < 0.0001), 0.612 (95% CI: 4.961-39.161, p < 0.0001), respectively. The Area Under the Curve (AUC) of the CONUT score in predicting poor prognosis of PTB patients was 0.885 (95% CI:0.830-0.940, p < 0.0001), which is comparable to that of the PNI index (0.862, 95% CI: 0.805-0.920, p < 0.0001), but higher than that of NPS (0.774, 95% CI: 0.702-0.846, p < 0.0001), BMI (0.627, 95% CI: 0.541-0.717, p < 0.0001), and NRS-2002 (0.763, 95% CI: 0.688-0.838, p < 0.0001). We discovered that older patients (p < 0.0001), male participants (p < 0.05), and patients with Diabetes Mellitus (DM) (p < 0.0001) and Chronic Obstructive Pulmonary Disease (COPD) (p < 0.05) were more likely to have a high CONUT score.

Conclusion

The poor prognosis of PTB patients was related to a high CONUT score, low PNI index, and high NPS score, of which the specificity and sensitivity of the CONUT score were higher than those of the PNI index and the NPS score.

Prognostic nutritional index and naples prognostic score as biomarkers for the prognosis of incisional wound healing after thoracolumbar tuberculosis surgery

OBJECTIVES

This study aimed to evaluate and compare the clinical predictive value of prognostic nutritional index (PNI) and naples prognostic score (NPS) as biomarkers for the prognosis of incisional wound healing in patients who underwent thoracolumbar tuberculosis surgery through the posterior approach.

METHODS

From January 2019 to October 2021, a total of 124 patients with thoracolumbar tuberculosis who underwent posterior approach debridement and internal fixation were included in this study. We retrospectively analyzed the clinical data, including PNI and NPS. They were divided into poor wound healing (PWH) and non-PWH groups according to whether PWH developed after the operation. And according to the receiver operating characteristic curve, patients were divided into two groups through the threshold value. Risk factors were found using logistic regression analysis.

RESULTS

The unfavorable outcome group had lower hemoglobin, serum albumin, Pre-albumin, PNI, and higher estimated blood loss, instrumented segments, neutrophil count, and NPS (P < 0.05). Both PNI and NPS were strongly correlated with PWH (r = 0.373, P < 0.05; r = -0.306, P < 0.05, respectively). The area under the curve (AUC) of PNI for predicting unfavorable outcomes was 0.764 (95% CI 0.662-0.865, P < 0.001), which was similar to NPS (0.808, 95% CI: 0.719-0.897, P < 0.001). Multivariate stepwise logistic regression analysis showed that PNI, NPS, the neutrophil count, the level of serum albumin, and the number of instrumented segments were independent risk factors for PWH.

CONCLUSION

Both PNI and NPS might be novel independent biomarkers and predictors of poor outcomes in incisional wound healing after STB surgery.

Association of the Naples Prognostic Score with Long-Term Adverse Events in Chronic Limb-Threatening Ischemia After Below-the-Knee Endovascular Revascularization

OBJECTIVES

Chronic limb-threatening ischemia (CLTI) is the most severe manifestation of peripheral artery disease (PAD) and is associated with high morbidity and mortality. The Naples prognostic score (NPS), a composite marker incorporating serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR), has shown prognostic value in various cardiovascular conditions. This study aimed to evaluate the prognostic significance of the NPS in predicting all-cause mortality and any kind of amputation in patients with CLTI undergoing endovascular treatment (EVT) for below-the-knee (BTK) lesions.

METHODS

In this retrospective analysis, 191 patients diagnosed with CLTI and treated with EVT for BTK lesions between 2017 and 2023 were stratified into three groups based on the NPS: low (0-1), intermediate (2), and high (3-4). The primary endpoint was all-cause mortality, while the secondary endpoint was any kind of amputation.

RESULTS

A higher NPS was significantly associated with increased all-cause mortality (hazard ratio: 3.66; 95% confidence interval: 1.72-7.78; p < 0.001), while no significant association was observed between the NPS and major amputation. Independent predictors of mortality included a high NPS, reduced left ventricular ejection fraction, and impaired renal function.

CONCLUSIONS

The NPS is an independent predictor of long-term mortality in CLTI patients undergoing EVT for BTK lesions.

The Prognostic Value of a Naples Score in Determining in-Hospital Mortality in Patients with Acute Ischemic Stroke Undergoing Endovascular Treatment

Background/Objectives: The Naples prognostic score (NPS), reflecting inflammation and nutritional status, has prognostic value, especially in cancer. This study evaluated its ability to predict in-hospital mortality in acute ischemic stroke (AIS) patients undergoing endovascular treatment (EVT). Methods: We retrospectively studied 244 patients with AIS who were admitted between April 2020 and December 2023. Patients were included if they presented within 6 h of symptom onset with evidence of intracranial proximal arterial occlusion. The EVT was performed using aspiration catheters, stent retrievers, or both. The NPS was calculated based on the neutrophil-lymphocyte ratio, lymphocyte-monocyte ratio, and albumin and total cholesterol levels. Results: We found a significant association between higher NPS scores and in-hospital mortality. Patients with a high NPS (3 or 4) had a mortality rate of 41.6% compared to 21.0% in the low-NPS group (0, 1, or 2). The full model incorporating NPS showed superior predictive ability for in-hospital mortality compared with the baseline model (areas under the curve 0.881 vs. 0.808). A receiver-operating characteristic analysis at a cutoff of >2.5 for the NPS showed a sensitivity of 86.6% and specificity of 41.9%. This study demonstrated that incorporating the NPS into the predictive model improved the accuracy and calibration for predicting in-hospital mortality. A decision curve analysis showed the net benefit of using the full model incorporating NPS over the baseline model, emphasizing its potential clinical application in prognostication. Conclusions: NPS is a reliable predictor of in-hospital mortality in AIS patients undergoing EVT. Incorporating NPS into clinical practice could help to identify high-risk patients and improve outcomes through tailored interventions.

Association of naples prognostic score and lung health: A population-based study

BACKGROUND

The Naples Prognostic Score (NPS) is a novel indicator of inflammatory and nutritional status, but its relationship to lung health is unknown.

OBJECTIVE

To evaluate the relationship of NPS to lung health problems.

METHODS

A total of 15,600 participants aged 20 years or older with an available assessment of chronic lung diseases were enrolled from the National Health and Nutrition Examination Survey 2007-2012. The NPS was calculated based on serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. Associations of NPS with chronic lung disease (diagnosed asthma, chronic bronchitis, and emphysema), respiratory symptoms (cough, phlegm production, wheeze, and exertional dyspnea), and spirometric measurements (FEV1, FVC, and obstructive or restrictive spirometry pattern) were evaluated. Kaplan-Meier survival analysis and multiple Cox regressions were used to assess the significance of NPS in relation to all-cause mortality and chronic lower respiratory diseases mortality in participants. Furthermore, to comprehensively assess the association between NSP and chronic lower respiratory diseases mortality, Fine-Gray subdistribution hazards model was performed to analyze non-chronic lower respiratory diseases mortality as a competitive risk.

RESULTS

People with a higher NPS score were associated with greater odds of asthma, chronic bronchitis, respiratory symptoms (including phlegm production, wheeze, and exertional dyspnea), and a greater risk of obstructive and restrictive spirometry. A higher NPS score was significantly associated with decreased FEV1 and FVC in both overall participants and those with lung health problems. Longitudinally, we found that those in the category with highest NPS were at greater risk of all-cause mortality and chronic lower respiratory diseases mortality in those with chronic lung disease, and respiratory symptoms.

CONCLUSIONS

An elevated NPS is associated with a host of adverse pulmonary outcomes. Prospective studies to define NPS as a biomarker for impaired lung health are warranted.

Predictive Value of the Naples Prognostic Score for Cardiovascular Outcomes in Patients With Chronic Kidney Disease Receiving Percutaneous Coronary Intervention

The Naples prognostic score (NPS) is a novel multidimensional inflammatory and nutritional assessment system in cancer patients. However, its significance in patients with chronic kidney disease (CKD) after percutaneous coronary intervention (PCI) remains unclear. The study has a single-center, retrospective design and included 631 patients with CKD who underwent index PCI between 2019 and 2022. All participants were divided into 2 groups according to the NPS (Low-risk group: n = 209; High-risk group: n = 422) and followed up until November 2022. The primary endpoint was Major Adverse Cardiac Events (MACE). NPS predicted MACE events better than other scores, besides, high-risk NPS with severe renal dysfunction (RD) group (MODEL 2) had superior MACE diagnostic efficiency than NPS high-risk group lonely. (NPS: AUC: 0.605, P < .001; MODEL 2: AUC: 0.624, P < .001, respectively). Kaplan-Meier survival analysis of two groups showed that high-risk group had higher incidence of MACE (P < .001). Meanwhile, high-risk group had higher MACE events [adjusted Hazard Ratio (aHR) 2.013, 95% CI 1.294, 3.132; P = .002]. NPS is an independent prognostic factor for CKD patients undergoing index PCI before operation whose predictive value for survival prognosis is better than other nutritional and inflammatory indicators. Compared with low NPS, patients with high NPS have a relatively poor prognosis.

Clinical significance of the modified Naples prognostic score in patients with stage II-III colon cancer undergoing curative resection: a retrospective study from the real world

Background

The Naples prognostic score (NPS) determined by the nutritional and inflammatory condition of an individual is attracting growing attention for predicting postoperative outcomes in a variety of malignancies. The study aimed to assess the clinical significance of a modified NPS (M-NPS) and establish and validate nomograms incorporating M-NPS in curative stage II-III colon cancer patients.

Methods

We retrospectively analyzed 328 stage II-III colon cancer patients receiving radical surgical resection at our hospital from January 2011 to December 2016. Kaplan-Meier (KM) survival analysis and Cox regression analysis were executed for overall survival (OS) and cancer-specific survival (CSS). Independent predictive indicators were applied to develop nomograms. The model's performance was evaluated using many different methods.

Results

Of a total of 328 cases, 153 cases were in group 0, 145 in group 1, and 30 in group 2. In terms of OS or CSS, there were obvious differences between groups 0 and 1, and between groups 0 and 2. Age, obstruction, N stage, gross tumor type, and M-NPS group were independent prognostic indicators for OS, while obstruction, gross tumor type, M-NPS group, and N stage were independent predictive parameters for CSS. Furthermore, the training and validation sets were randomly allocated among a cohort of 328 patients. OS and CSS prediction nomograms were developed. In the training and validation cohort, the C-index and ROC analysis showed good discrimination, calibration curves exhibited an excellent level of consistency between model-predicted survival and actual survival outcomes, and DCA curves demonstrated good clinical performance.

Conclusion

M-NPS is a reliable survival predictor in patients with curative stage II-III colon cancer. Nomograms incorporating M-NPS for OS and CSS have good predictive performance and clinical utility.

Evaluation of Naples Score for Long-Term Mortality in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention

The Naples score (NS), which is a composite of cardiovascular adverse event predictors including neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, albumin, and total cholesterol, has emerged as a prognostic risk score in cancer patients. We aimed to investigate the predictive value of NS for long-term mortality in ST-segment elevation myocardial infarction patients (STEMI). A total of 1889 STEMI patients were enrolled in this study. The median duration of the study was 43 months (IQR: 32-78). Patients were divided into 2 groups according to NS as group 1 and group 2. We created 3 models as a baseline model, model 1 (baseline + NS in continuous), and model 2 (baseline + NS as categorical). Group 2 patients had higher long-term mortality rates than group 1 patients. The NS was independently associated with long-term mortality and adding NS to a baseline model improved the model performance for prediction and discrimination of long-term mortality. Decision curve analysis demonstrated that model 1 had a better net benefit probability for detecting mortality compared with the baseline model. NS had the highest contributive significant effect in the prediction model. An easily accessible and calculable NS might be used for risk stratification of long-term mortality in STEMI patients undergoing primary percutaneous coronary intervention.

Naples prognostic score as a predictor of mortality in surgical aortic valve replacement

Aim: Investigating the impact of nutritional and inflammatory status, assessed by the Naples-Prognostic-Score (NPS), on postoperative mortality in 173 older adults undergoing surgical aortic valve replacement(SAVR) for aortic stenosis(AS).Methods: Retrospective study calculating NPS from neutrophils/lymphocytes, lymphocytes/monocytes, total cholesterol and serum albumin.Results: Mean age was 69.39 ± 6.153 with 45.1% females. The post-operative mortality was 23.7% over a follow-up period of 50 ± 31 months. The 1-month mortality rate is 2.89%. High NPS significantly associated with increased mortality; multivariate logistic regression confirmed its independence (odds-ratio:3.494, 95% confidence-interval:1.555-7.849, p = 0.002). NPS cutoff of 2 showed 73.2% sensitivity, 56.8% specificity and area-under-the-curve of 0.758 for predicting all-cause mortality. Kaplan-Meier analysis supported lower NPS correlating with better survival.Conclusion: NPS independently predicts postoperative mortality in SAVR patients.

Naples Prognostic Score: A Novel Predictor of Survival in Patients with Triple-Negative Breast Cancer

Purpose

This study investigated the correlation between the Naples prognostic score (NPS), clinicopathological traits, and the postoperative prognoses of patients with triple-negative breast cancer (TNBC). Based on NPS, a predictive nomogram was developed to estimate the long-term survival probabilities of patients with TNBC post-surgery.

Patients and Methods

We retrospectively examined the clinical records of 223 women with TNBC treated at Ningbo Medical Center, Lihuili Hospital between January 1, 2016 and December 31, 2020. Blood tests and biochemical analyses were conducted before surgery. The prognostic nutritional index (PNI), controlling nutritional status (CONUT), neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and NPS were determined based on blood-related markers. A Kaplan-Meier survival analysis assessed the association between NPS, PNI, CONUT score, overall survival (OS), and breast cancer-specific survival (BCSS). Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC) and C index. The patients were randomly divided into the training and the validation group (6:4 ratio). A nomogram prediction model was developed and evaluated using the R Software for Statistical Computing (RMS) package.

Results

NPS outperformed other scores in predicting inflammation outcomes. Patients with an elevated NPS had a poorer prognosis (P<0.001). Lymph node ratio (LNR), surgical method, postoperative chemotherapy, and NPS independently predicted OS, whereas M stage, LNR, and NPS independently predicted BCSS outcome. The OS and BCSS predicted by the nomogram model aligned well with the actual OS and BCSS. The decision curve analysis showed significant clinical utility for the nomogram model.

Conclusion

In this study, NPS was an important prognostic indicator for patients with TNBC. The nomogram prognostic model based on NPS outperformed other prognostic scores for predicting patient prognosis. The model demonstrated a clear stratification ability for patient prognosis, which emphasized the potential benefits of early intervention for high-risk patients.

Prediction Model for Early-Stage CKD Using the Naples Prognostic Score and Plasma Indoleamine 2,3-dioxygenase Activity

Purpose

Changes in inflammation, immunity, and nutritional status can promote the development of chronic kidney disease (CKD), and the Naples prognostic score (NPS) reflects changes in these three general clinical parameters. Indoleamine 2.3-dioxygenase (IDO) can block the function of inflammatory cells and inhibit the production of inflammatory cytokines. We examined use of the NPS and IDO activity to predict early-stage CKD.

Patients and Methods

Clinical and demographic parameters and the NPS were recorded for 47 CKD patients and 30 healthy controls. A one-way ANOVA or the rank sum test was used to compare variables in the different groups. Spearman or Pearson correlation coefficients were calculated, and logistic regression was used to identify significant factors. Receiver operating characteristic (ROC) analysis was also performed.

Results

The NPS had a positive correlation with plasma IDO activity and IDO activity was lowest in controls, and increased with CKD stage. ROC analysis indicated that NPS had an area under the curve (AUC) of 0.779 when comparing controls with all CKD patients. A prediction model for CKD (-4.847 + [1.234 × NPS] + [6.160 × plasma IDO activity]) demonstrated significant differences between controls and patients with early-stage CKD, and for patients with different stages of CKD. This model had AUC values of 0.885 (control vs CKD1-4), 0.876 (control vs CKD2), 0.818 (CKD2 vs CKD3), and 0.758 (CKD3 vs CKD4).

Conclusion

A prediction model based on the NPS and IDO provided good to excellent predictions of early-stage CKD.

Inflammation, nutrition, and biological aging: The prognostic role of Naples prognostic score in nonalcoholic fatty liver disease outcomes

AIM

This study aimed to evaluate the prognostic value of the Naples Prognostic Score (NPS) for predicting mortality in patients with nonalcoholic fatty liver disease (NAFLD) and compare its performance with established non-invasive fibrosis scores, including the fibrosis-4 index (FIB-4) and NAFLD fibrosis score (NFS).

METHODS

Data from 10,035 NAFLD patients identified within the 1999-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. Cox regression models assessed the association between NPS and all-cause mortality, while time-dependent ROC analysis compared its predictive accuracy with FIB-4 and NFS. Mediation analysis explored the role of phenotypic age acceleration (PhenoAgeAccel).

RESULTS

NPS was significantly associated with all-cause mortality, with each point increase corresponding to a 26 % increased risk (HR = 1.26, 95 % CI: 1.19-1.34). NPS demonstrated comparable predictive performance to FIB-4 and NFS, with further improvement when combined with either score (HRs of 2.03 and 2.11 for NPS + FIB-4 and NPS + NFS, respectively). PhenoAgeAccel mediated 31.5 % of the effect of NPS on mortality.

CONCLUSIONS

This study found that NPS has the potential to be an independent, cost-effective, and reliable novel prognostic indicator for NAFLD that may complement existing tools and help improve risk stratification and management strategies for NAFLD, thereby preventing adverse outcomes.

Predictive Value of the Naples Prognostic Score for Acute Kidney Injury in ST-Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention

The purpose of this investigation was to investigate whether there was an association between the Naples prognostic score and the development of acute kidney injury (AKI) in ST-elevation myocardial infarction (STEMI) patients following primary percutaneous coronary intervention (pPCI). The study comprised 2901 consecutive STEMI patients who had pPCI. For each patient, the Naples prognostic score was determined. To evaluate the predictive performance of the Naples score (which included either continuous and categorical variables), we developed a Nested model and a nested model combined with the Naples score. The Naples prognostic score was the most significant predictor of AKI occurrence after admission creatinine, age, and contrast volume. The continuous Naples prognostic score model provided the best prediction performance and discriminative ability. The C-index of the Nested and full models with continuous Naples prognostic score were significantly higher than that of the Nested model. The decision curve analysis found that the overall model had a higher full range of probability of clinical net benefit than the baseline model, with a 10% AKI likelihood. The present study found that the Naples prognostic score may be useful to predict the risk of AKI in STEMI patients undergoing pPCI.

The ratio of skeletal muscle mass to body mass index combined with inflammatory immune markers to stratify survival of pancreatic cancer after pancreatoduodenectomy

BACKGROUND

We sought to combine skeletal muscle index and inflammatory immune markers to stratify long-term survival in patients with pancreatic cancer after pancreatoduodenectomy (PD).

METHODS

A total of 581 patients with pancreatic cancer underwent PD were included, and divided into the training and validation cohort. Image analysis of computed tomography scans was used to calculate the ratio of skeletal muscle (SM) area to body mass index (BMI). Naples prognostic score (NPS) was calculated from blood-test inflammatory immune markers. Propensity score matching (PSM) analysis was performed to minimize biases of clinicopathological characteristics. To estimate the overall survival (OS), a nomogram was developed using the training cohort. The predictive accuracy of nomogram was estimated by concordance index (C-index), calibration curve, and receiver operating characteristics (ROC) curve.

RESULTS

After PSM analysis, SM/BMI ratio, NPS, lymph node metastasis, TNM stage, surgical margin, tumor grade and adjuvant therapy were independent predictors of OS, which were all assembled into nomogram. The SM/BMI ratio was the best single-predictor for 3- and 5-year OS, with an AUC of 0.805 (95% CI: 0.755-0.855) and 0.812 (95% CI: 0.736-0.888), respectively. Harrell's c-index of the nomogram in the training cohort was 0.786 (95% CI: 0.770-0.802), and the area under ROC curve of 1-year, 3- and 5-year OS prediction were 0.869 (95%CI: 0.837-0.901), 0.846 (95%CI: 0.810-0.882) and 0.849 (95%CI: 0.801-0.896).

CONCLUSIONS

The nomogram based on SM/BMI ratio and NPS had excellent predictive performance, which should be incorporated to conventional risk scores to stratify survival of patients with PDAC after PD.

The impact of the Naples Prognostic Score on the short- and long-term prognosis of patients undergoing transcatheter aortic valve implantation

BACKGROUND

Preoperative systemic inflammation and nutritional status have been shown to affect prognosis in patients undergoing transcatheter aortic valve implantation (TAVI). In this study, we investigated the effect of the Naples Prognostic Score (NPS), which consists of four different parameters including these two components on short- and long-term prognosis in patients undergoing TAVI.

METHODS

In 343 patients (mean age 78.1 ± 8.4 years, 51.3% female) who underwent TAVI, the NPS score was calculated from the blood tests obtained before the procedure and the study population was divided into three according to the NPS value: those with 0 and 1 were divided into Group-1, those with 2 into Group-2, and those with 3 and 4 into Group-3. The relationship between NPS group and in-hospital adverse events and long-term survival was evaluated.

RESULTS

Systolic pulmonary artery pressure, STS score, presence of chronic lung disease and being in NPS Group-3 [adjusted odds ratio (adjOR): 3.93, 95% confidence interval (CI) (1.02-15.17), P  = 0.047] were found to be independent predictors of in-hospital mortality. According to the multivariate Cox-regression model, both Group-2 NPS [adjusted hazard ratio (adjHR): 4.81, 95% CI (1.09-21.14), P  = 0.037] and Group-3 NPS [adjHR: 10.1, 95% CI (2.31-43.36), P  = 0.002] was an independent predictor of 2-year all-cause mortality after TAVI. There was no significant difference in perioperative adverse events between the groups except for postprocedural acute kidney injury. According to receiver-operating characteristic analysis, the optimal predictive value of NPS for in-hospital and long-term mortality was 2.5.

CONCLUSION

In patients who will be candidates for TAVI, NPS is a simple and effective tool for determining both short- and long-term prognosis.

Prognostic value of the Naples prognostic score in patients with intrahepatic cholangiocarcinoma after hepatectomy

BACKGROUND

The Naples Prognostic Score (NPS), integrating inflammatory and nutritional biomarkers, has been reported to be associated with the prognosis of various malignancies, but there is no report on intrahepatic cholangiocarcinoma (ICC). This study aimed to explore the prognostic value of NPS in patients with ICC.

METHODS

Patients with ICC after hepatectomy were collected, and divided into three groups. The prognosis factors were determined by Cox regression analysis. Predictive efficacy was evaluated by the time-dependent receiver operating characteristic (ROC) curves.

RESULTS

A total of 174 patients were included (Group 1: 33 (19.0%) patients; Group 2: 83 (47.7%) patients; and Group 3: 58 (33.3%) patients). The baseline characteristics showed the higher the NPS, the higher the proportion of patients with cirrhosis and Child-Pugh B, and more advanced tumors. The Kaplan-Meier curves reflect higher NPS were associated with poor survival. Multivariable analysis showed NPS was an independent risk factor of overall survival (NPS group 2 vs. 1: HR = 1.671, 95% CI: 1.022-3.027, p = 0.009; NPS group 3 vs. 1: HR = 2.208, 95% CI: 1.259-4.780, p = 0.007) and recurrence-free survival (NPS group 2 vs. 1: HR = 1.506, 95% CI: 1.184-3.498, p = 0.010; NPS group 3 vs. 1: HR = 2.141, 95% CI: 2.519-4.087, P = 0.001). The time ROC indicated NPS was superior to other models in predicting prognosis.

CONCLUSIONS

NPS is a simple and effective tool for predicting the long-term survival of patients with ICC after hepatectomy. Patients with high NPS require close follow-up, and improving NPS may prolong the survival time.

The Naples prognostic score serves as a predictor and prognostic indicator for cancer survivors in the community

OBJECTIVE

Inflammation, malnutrition, and cancer are intricately interconnected. Despite this, only a few studies have delved into the relationship between inflammatory malnutrition and the risk of death among cancer survivors. This study aimed to specifically investigate the association between the categorically defined Naples prognostic score (NPS) and the prognosis of cancer survivors.

METHODS

Data from 42,582 participants in the National Health and Nutrition Examination Survey (NHANES, 1999-2018) were subjected to analysis. Naples prognostic scores (NPS) were computed based on serum albumin (ALB), total cholesterol (TC), neutrophil to lymphocyte ratio (NLR), and lymphocyte to monocyte ratio (LMR), and participants were stratified into three groups accordingly. Cancer status was ascertained through a self-administered questionnaire, while mortality data were sourced from the National Death Index up to December 31, 2019. Multiple logistic regression was employed to estimate the odds ratio (OR) with a 95% confidence interval (CI) between NPS and cancer prevalence within the U.S. community population. Kaplan-Meier survival analysis and the Log-rank test were utilized to compare survival disparities among the three groups. Additionally, Cox proportional regression was utilized to estimate the hazard ratio (HR) with a 95% CI.

RESULTS

The incidence of cancers was 9.86%. Among the participants, 8140 individuals (19.1%) were classified into Group 0 (NPS 0), 29,433 participants (69.1%) into Group 1 (NPS 1 or 2), and 5009 participants (11.8%) into Group 2 (NPS 3 or 4). After adjusting for confounding factors, the cancer prevalence for the highest NPS score yielded an odds ratio (OR) of 1.64 (95% CI: 1.36, 1.97) (P(for trend) < 0.05). In comparison to cancer survivors in Group 0, those with the highest NPS had adjusted hazard ratios (HRs) of 2.57 (95% CI: 1.73, 3.84) for all-cause mortality, 3.44 (95% CI: 1.64, 7.21) for cardiovascular mortality, 1.60 (95% CI: 1.01, 2.56) for cancer mortality, and 3.15 (95% CI: 1.74, 5.69) for other causes of mortality (All P(for trend) < 0.05). These associations remained consistent when stratified by age, sex, race, and body mass index.

CONCLUSIONS

This study indicates that the Naples prognostic score (NPS), serving as a novel prognostic metric integrating inflammation and nutritional status, is closely linked to cancer prognosis within the general population.

A scoping review of lung cancer surgery with curative intent: workup, fitness assessment, clinical outcomes

Lung cancer surgery with curative intent has significantly developed over recent years, mainly focusing on minimally invasive approaches that do not compromise medical efficiency and ensure a decreased burden on the patient. It is directly linked with an efficient multidisciplinary team that will perform appropriate pre-operative assessment. Caution is required in complex patients with several comorbidities to ensure a meaningful and informed thoracic surgery referral leading to optimal patient outcomes.

Predictive role of Naples prognostic score for survival in esophageal cancer: A meta-analysis

BACKGROUND

To further clarify the predictive value of pretreatment Naples prognostic score (NPS), calculating based on the serum albumin concentration, total cholesterol level, neutrophil to lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR), among esophageal cancer patients based on available evidence.

METHODS

The PubMed, EMBASE, Web of Science and CNKI databases were searched up to December 1, 2023 for relevant studies. Overall survival (OS), progression-free survival (PFS) and cancer-specific survival (CSS) were endpoints and the hazard ratio (HR) with 95% confidence interval (CI) was combined to evaluate the predictive role of NPS for survival. Subgroup analysis based on pathological type and treatment were further conducted.

RESULTS

Ten retrospective studies with 2250 cases were included in our analysis. Pooled results demonstrated that higher pretreatment NPS predicted poorer OS (HR = 2.24, 95% CI: 1.57-3.20, P < .001), PFS (HR = 3.03, 95% CI: 1.84-4.98, P < .001) and CSS (HR = 2.90, 95% CI: 1.80-4.68, P < .001). Then subgroup analysis for the OS and PFS stratified by the pathological type (squamous cell carcinoma vs esophageal cancer) and treatment (surgery vs non-surgery) were further conducted, which showed similar results.

CONCLUSION

Pretreatment NPS is significantly associated with prognosis in esophageal cancer and higher NPS predicts worse survival among patients with esophageal cancer.

Predictive potential of preoperative Naples prognostic score-based nomogram model for the prognosis in surgical resected thoracic esophageal squamous cell carcinoma patients: A retrospective cohort study

The present study aimed to establish an effective prognostic nomogram model based on the Naples prognostic score (NPS) for resectable thoracic esophageal squamous cell carcinoma (ESCC). A total of 277 patients with ESCC, who underwent standard curative esophagectomy and designated as study cohort, were retrospectively analyzed. The patients were divided into different groups, including NPS 0, NPS 1, NPS 2, and NPS 3 or 4 groups, for further analysis, and the results were validated in an external cohort of 122 ESCC patients, who underwent surgery at another cancer center. In our multivariate analysis of the study cohort showed that the tumor-node-metastasis (TNM) stage, systemic inflammation score, and NPS were the independent prognostic factors for the overall survival (OS) and progression-free survival (PFS) durations. In addition, the differential grade was also an independent prognostic factor for the OS in the patients with ESCC after surgery (all P < .05). The area under the curve of receiver operator characteristics for the PFS and OS prediction with systemic inflammation score and NPS were 0.735 (95% confidence interval [CI] 0.676-0.795, P < .001) and 0.835 (95% CI 0.786-0.884, P < .001), and 0.734 (95% CI 0.675-0.793, P < .001) and 0.851 (95% CI 0.805-0.896, P < .001), respectively. The above independent predictors for OS or PFS were all selected in the nomogram model. The concordance indices (C-indices) of the nomogram models for predicting OS and PFS were 0.718 (95% CI 0.681-0.755) and 0.669 (95% CI 0.633-0.705), respectively, which were higher than that of the 7th edition of American Joint Committee on Cancer TNM staging system [C-index 0.598 (95% CI 0.558-0.638) for OS and 0.586 (95% CI 0.546-0.626) for PFS]. The calibration curves for predicting the 5-year OS or PFS showed a good agreement between the prediction by nomogram and actual observation. In the external validation cohort, the nomogram discrimination for OS was better than that of the 7th edition of TNM staging systems [C-index: 0.697 (95% CI 0.639-0.755) vs 0.644 (95% CI 0.589-0.699)]. The calibration curves showed good consistency in predicting the 5-year survival between the actual observation and nomogram predictions. The decision curve also showed a higher potential of the clinical application of predicting the 5-years OS of the proposed nomogram model as compared to that of the 7th edition of TNM staging systems. The preoperative NPS-based nomogram model had a certain potential role for predicting the prognosis of ESCC patients.

Impact of Pretransplant C-Reactive Protein, Neutrophiles, Platelets, and Albumin Levels on Recipient Survival After Simultaneous Pancreas and Kidney Transplantation

BACKGROUND

Long-lasting diabetes mellitus type 1 and end-stage renal disease induce severe metabolic and immunologic deterioration. Pretransplant C-reactive protein (CRP) and albumin (ALB) levels impact kidney transplantation. We evaluated the effects of preoperative CRP, ALB, neutrophils (NEU), and platelet (PLT) counts on 1- and 5-year recipient survival after simultaneous pancreas and kidney transplantation (SPK).

METHODS

Among 103 SPK recipients, the parameters were as follows: CRP (mean: 4.5 ± 4.97 mg/L); NEU (mean: 5.12 ± 2.13 × 103/mm3); PLT (mean: 244 ± 84 × 103/mm3); ALB (mean 4.5 ± 0.75 g/dL) were obtained before transplantation. Cox regression, uni-, multivariate analysis for 1- and 5-year survivals were performed with 95% CIs, and the area under the receiver operating characteristic (ROC) curve (AUC) was assessed.

RESULTS

In Cox regression, ALB <3.65 g/dL significantly affected 1- and 5-year survivors with hazard ratios of 8 (95% CI, 1.5-38.28; P < .05) and 3.13 (95% CI, 1.45-6.73; P < .05), respectively. In univariate analysis, we found significantly decreased 1-year survival when PLT <180×103/mm3, ALB <3.65 g/dL, NEU >5.8×103/mm3 and CRP >2.25 mg/L with odds ratios (OR) of 6.75 (95% CI, 2.12-21.15); 4.05 (95% CI, 1.3-12.09); 2.97 (95% CI, 1.02-8.64) and 5.51 (95% CI, 1.67-18.19), respectively. Independent factors for 5-year survival were CRP, ALB, and PLT with OR of 4.72 (95% CI, 1.67-13.29), 3.31 (95% CI, 1.18-9.25), and 4.2 (95% CI, 1.39-12.68), respectively. In multivariate analysis, we built 2 models for 1-year survival. Model 1 (ALB+PLT) with ORs of 3.12 (95% CI, 0.97-10.07) and 5.55 (95% CI, 1.67-18.4); and model 2 (CRP+PLT) with ORs of 5.51 (95% CI, 1.5-17.3) and 4.3 (95% CI, 1.2-15.06), respectively. The AUC for models 1 and 2 were 0.74 and 0.759, respectively.

CONCLUSIONS

NEU, PLT, ALB, and CRP levels assessed before transplantation are independent factors for 1- and 5-year SPK recipient survival.

Predictive Value of the Naples Prognostic Score on Long-Term Outcomes in Patients with Peripheral Artery Disease Revascularized via Percutaneous Intervention

BACKGROUND

Lower extremity peripheral artery disease (PAD) is the third most common clinical manifestation of atherosclerosis after coronary artery disease and stroke. Despite successful endovascular treatment (EVT), mortality and morbidity rates still remain higher in patients with PAD. Naples prognostic score (NPS) is a novel scoring system, reflects the patient's nutritional and immunological statuses as well as systemic inflammatory responses. In this study, we aimed to investigate the relationship between NPS and long-term outcomes in patients with PAD.

METHODS

The population of this retrospective study consisted of 629 PAD patients who underwent EVT at Kafkas University Hospital between 2020 and 2023. For each patient, the NPS was calculated and then patients were divided into 3 groups based on their NPS. The primary end point of the study was the rate of major adverse cardiovascular (MACEs) and limb events (MALEs), that is, all-cause death or development of critical limb ischemia with consequent amputation.

RESULTS

Of a total of 629 patients, 62 were classified into group 0 (NPS 0), 315 into group 1 (NPS 1 or 2), and 252 into group 2 (NPS 3 or 4). The distribution of patients' baseline characteristics, angiographic features and MACEs and MALEs according to the NPS groups was analyzed. Significant adverse outcomes differences were observed among the 3 groups (P < 0.001). Multivariate logistic regression analysis revealed that age, diabetes mellitus, chronic kidney disease, lowest preprocedure ankle-brachial index, left ventricular ejection fraction and NPS (hazard ratio 1.916, 95% confidence interval [CI] 1.530-2.398, P < 0.001) were independent predictors of MACE whereas diabetes mellitus, presence of previous PAD, hemoglobin level, in-hospital acute thrombotic occlusion and NPS (odds ratio 1.963, 95% CI 1.489-2.588, P < 0.001) were independent predictors of MALE.

CONCLUSIONS

The inflammatory and nutritional state reflected by NPS levels was strongly associated with all-cause mortality and amputation after EVT in patients with PAD. Furthermore, NPS was found to be an independent predictor of these clinical outcomes.

Serum α-hydroxybutyrate dehydrogenase as a biomarker for predicting survival outcomes in patients with UTUC after radical nephroureterectomy

PURPOSE

We aimed to determine the prognostic value of α-hydroxybutyrate dehydrogenase (α-HBDH) in upper tract urothelial carcinoma (UTUC) patients after radical nephroureterectomy (RNU).

MATERIALS AND METHODS

We retrospectively enrolled the data of 544 UTUC patients at West China Hospital from May 2003 to June 2019. Cancer-specific survival (CSS) was the endpoint of interest. The optimal cutoff value of α-HBDH was identified by X-Tile program. After propensity score matching (PSM), we utilized Kaplan‒Meier curves to estimate survival and Cox proportional hazard model for risk assessment. A nomogram was built based on the results of multivariate analysis, and calibration curve, time-dependent receiver operating characteristic (ROC) curves and decision curve analysis were also performed to evaluate the predictive accuracy.

RESULTS

Overall, 394 and 150 patients were divided into the α-HBDH-low group and α-HBDH -high group at the cutoff value of 158 U/L, respectively. After PSM, the two groups were well matched for all confounding factors. High α-HBDH was associated with inferior CSS (P = 0.006), and preoperative α-HBDH was an independent predictor for CSS (HR: 1.36; 95% CI:1.08, 1.80), especially in localized UTUC patients (HR: 2.04; 95% CI:1.11, 3.74). Furthermore, the nomogram based on α-HBDH achieved great predictive ability for CSS with areas under the curves of 0.800 and 0.778 for 3-year and 5-year CSS, respectively.

CONCLUSION

Serum α-HBDH was a novel and reliable biomarker for predicting survival outcomes in UTUC patients after RNU but should be further explored.

Study on the correlation between controlling nutritional status score and clinical biochemical indicators in patients with colorectal cancer

Purpose

The controlling nutritional status (CONUT) score is an important tool for predicting the prognosis of colorectal cancer (CRC); however, its effectiveness is relatively insufficient. This study aimed to screen for more effective clinical indicators as supplements to the CONUT scoring system and improve the predictive value of CRC prognosis.

Patients and methods

Between 2014 and 2020, the clinical information of all CRC patients in our unit was retrospectively collected, and the CONUT scores were calculated based on the levels of serum albumin (ALB), lymphocytes (LC), and total cholesterol. The included patients were divided into the following three groups: normal nutrition (0-1), mild malnutrition (2-4), and moderate-to-severe malnutrition (5-12). The correlations between the CONUT score and baseline characteristics and clinical indicators were evaluated.

Results

This study ultimately included 5014 CRC patients. The nutritional status of patients with colon cancer (CC) was worse than that of rectal cancer (RC). The nutritional status was worse in men than in women. The older the patient, the poorer the nutritional status, and the poorer the nutritional status, the longer the hospital stay. In addition, poor nutritional status in patients is indicated by higher values of neutrophils (NE), monocytes (MC), eosinophils (EOS), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), carcinoembryogenic antigen (CEA), and lower values of white blood cells (WBC), basophils (BAS), haemoglobin (HB), total protein (TP), triglycerides (TG), low density lipoprotein (LDL), aspartate transaminase (AST), and blood urea nitrogen (BUN), which was statistically significant (P < 0.05). Indicators that significantly correlated with the CONUT score reflected the immune nutritional status, including WBC (odds ratio [OR] = 0.036, P < 0.001), NE (OR = 30.815, P < 0.001), MC (OR = 41.388, P < 0.001), EOS (OR = 27.577, P < 0.001), BAS (OR = 0.006, P = 0.046), and LDL (OR = 0.319, P < 0.001).

Conclusion

Additional variables such as WBC, NE, MC, EOS, BAS, and LDL may be used as supplementary indicators in the CONUT scoring system to more effectively predict the clinical prognosis of CRC patients.

Evaluation of Naples prognostic score to predict long-term mortality in patients with pulmonary embolism

Background: The Naples prognostic score (NPS), which reflects the inflammatory and nutritional status of patients, is often used to determine prognosis in cancer patients. The aim of this study was to determine the long-term prognostic value of the NPS in acute pulmonary embolism (APE) patients. Methods: Two hundred thirty-nine patients diagnosed with APE were divided into two groups according to their NPS, and long-term mortality was compared. Results: The long-term mortality was observed in 38 patients out of 293 patients in the mean follow-up of 24 months. Multivariate analysis showed that NPS as a categorical parameter and NPS as a numeric parameter were independent predictors of long-term mortality. Conclusion: This study highlights that NPS may have the potential to predict long-term mortality in APE patients.

Association of preoperative muscle-adipose index measured by computed tomography with survival in patients with esophageal squamous cell carcinoma

BACKGROUND

Conventional nutritional metrics are closely associated with the prognosis of patients with radically resected esophageal squamous cell carcinoma (ESCC). Nevertheless, the prognostic implications of muscle and adipose tissue composite indexes in ESCC remain unknown.

METHODS

We retrospectively analyzed clinicopathological data of 304 patients who underwent resected ESCC. To obtain measurements of the muscle and adipose indexes, preoperative computed tomography (CT) images were used to quantify skeletal-muscle adipose tissue. The diagnostic threshold for muscle-adipose imbalance was determined using X-tile software and used to analyze the association between the muscle-adipose index (MAI) and survival. Instantaneous risk of recurrence was assessed using a hazard function. We constructed a nomogram based on the MAI and other clinical characteristics and established a novel predictive model with independent prognostic factors. The prognostic capabilities of these nomograms were evaluated using calibration curves, receiver operating characteristic (ROC) curves, and decision-curve analysis (DCA).

RESULTS

The overall survival (OS) and disease-free survival (DFS) rates in the muscle-adipose-balanced group were significantly better than those in the muscle-adipose-imbalanced group. Multivariate analyses revealed that the MAI, prognostic nutritional index (PNI), tumor stage, and tumor differentiation were independent prognostic factors for OS and DFS in patients with resected ESCC (P < 0.05). The nuclear density curve indicated a lower risk of recurrence for patients in the muscle-adipose-balanced group than that for their imbalanced counterparts. Conversely, the nuclear density curve for PNI was confounded. Postoperative radiotherapy- (RT) benefit analysis demonstrated that patients with ESCC in the muscle-adipose-balanced group could benefit from adjuvant RT.

CONCLUSION

This study confirmed that preoperative MAI could serve as a useful independent prognostic factor in patients with resected ESCC. A nomogram based on the MAI and other clinical characteristics could provide individualized survival prediction for patients receiving radical resection. Timely and appropriate nutritional supplements may improve treatment efficacy.