Impact of Naples Prognostic Score at Admission on In-Hospital and Follow-Up Outcomes Among Patients with ST-Segment Elevation Myocardial Infarction

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.

Association Between Naples Prognostic Score and All-Cause and Cardiovascular Mortality in Stroke Patients

OBJECTIVES

Stroke is a primary public health challenge worldwide, with its prognosis profoundly related to inflammation and nutritional status. Naples prognostic score (NPS) is an integrated indicator of combined inflammation and nutrition. The study aimed to elucidate the link between NPS and all-cause and cardiovascular (CVD) deaths in stroke patients.

METHODS

NHANES (2001 to 2018) data set was used. Multivariate corrected Cox models, Kaplan-Meier, and restricted cubic spline analysis were adopted to explore the link between NPS, all-cause, and CVD mortality in stroke patients. Subgroup analyses based on age, sex, BMI, education, alcohol consumption, smoking, hypertension, and diabetes were performed to further explore associations.

RESULTS

Totally, 1247 stroke patients were enrolled. High NPS levels were notably linked with a heightened risk of all-cause mortality (HR: 1.320, 95% CI: 1.180-1.470, P<0.001) and CVD death (HR: 1.390, 95% CI: 1.120-1.730, P=0.003) in stroke patients after adjusting for relevant factors. Compared with group 0 (NPS=0), group 2 (NPS=3-4) had a high hazard ratio for all-cause mortality (HR: 2.920, 95% CI: 1.820-4.670, P<0.001) and CVD mortality (HR: 2.610, 95% CI: 1.140-5.970, P=0.023). The RCS suggested a linear link between NPS and both all-cause (P for nonlinear=0.2202) and CVD deaths (P for nonlinear=0.9841) in stroke patients. These links were mostly consistent in subgroups. There was no pronounced interaction between status and NPS scores for each subgroup (all P<0.05).

CONCLUSIONS

High NPS scores are connected with an augmented risk of all-cause mortality and CVD death in stroke patients. NPS is possibly connected with prognosis in stroke patients.

The Naples prognostic score as a nutritional and inflammatory biomarkers of stroke prevalence and all-cause mortality: insights from NHANES

BACKGROUND

Stroke is a complex neurological condition characterized by high rates of incidence, recurrence, disability, and mortality, making it one of the leading causes of death and disability worldwide. The Naples prognostic score (NPS), an index that combines markers of inflammation and nutritional status, has demonstrated prognostic value in various diseases. This research investigated the relationships among NPS, stroke prevalence, and overall mortality in stroke individuals, drawing on data from the National Health and Nutrition Examination Survey from 2007 to 2018.

METHODS

The cross-sectional analysis included 20,798 participants aged beyond 40 years with 1155 persons with stroke analyzed for mortality. Stroke prevalence was self-reported, and the NPS was derived from serum albumin, total cholesterol, the neutrophil-to-lymphocyte ratio, and the lymphocyte-to-monocyte ratio (Galizia et al. in Cancer 60:1273-1284, 2017). Weighted Logistic regression and Cox models assessed associations among NPS, stroke, and mortality, adjusting for demographic and clinical factors.

RESULTS

Higher NPS scores were linked to increased stroke prevalence (OR 3.573, 95% CI 2.745-4.652, P < 0.001) and elevated all-cause mortality risk (HR 3.281, 95% CI 1.978-5.442, P < 0.001) in stroke individuals. The triglyceride-glucose index (TYG) significantly modified the relationship between the NPS and stroke prevalence.

CONCLUSION

This study supports the clinical utility of the NPS as a predictor of both stroke prevalence and all-cause mortality. The NPS may serve as a valuable tool for risk stratification in stroke prevention and long-term prognosis.

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.

Modification, validation and comparison of Naples prognostic score to determine in-hospital mortality in ST-segment elevation myocardial infarction

AIM

The relationship between inflammatory status and poor outcomes in acute coronary syndromes is a significant area of current research. This study investigates the association between in-hospital mortality and the modified Naples prognostic score (mNPS) as well as other inflammatory biomarkers in STEMI patients.

METHODS

This single-centre, cross-sectional study included 2576 consecutive STEMI patients who underwent primary percutaneous coronary intervention between January 2022 and November 2023. Participants were randomly divided into derivation and validation cohorts in a 6:4 ratio. The following inflammatory indices were calculated: pan-immune-inflammation value (PIV), systemic immune-inflammation-index (SII), systemic inflammation-response index (SIRI) and conventional NPS. The mNPS was derived by integrating hs-CRP into the conventional NPS. The performance of these indices in determining in-hospital mortality was assessed using regression, calibration, discrimination, reclassification and decision curve analyses.

RESULTS

Inflammatory biomarkers, including PIV, SII, SIRI, NPS and mNPS, were significantly higher in patients who died during in-hospital follow-up compared to those discharged alive in both the derivation and validation cohorts. Multivariable logistic regression analyses were performed separately for the derivation and validation cohorts. In the derivation cohort, mNPS was associated with in-hospital mortality (aOR = 1.490, p < .001). Similarly, in the validation cohort, mNPS was associated with in-hospital mortality (aOR = 2.023, p < .001). mNPS demonstrated better discriminative and reclassification power than other inflammatory markers (p < .05 for all). Additionally, regression models incorporating mNPS were well-calibrated and showed net clinical benefit in both cohorts.

CONCLUSION

mNPS may be a stronger predictor of in-hospital mortality in STEMI patients compared to the conventional scheme and other inflammatory indices.

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 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.

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.

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.

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.

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.

Clinical implication of the Naples prognostic score on transcatheter aortic valve replacement in patients with severe aortic stenosis

BACKGROUND

One of the hallmarks of frailty in patients with severe aortic stenosis (AS) is malnutrition, for which one of the most up-to-date scoring systems is the Naples prognostic score (NPS). This study sought to investigate the predictive role of the NPS in determining mortality in patients undergoing transcatheter aortic valve replacement (TAVR) under long-term follow-up.

METHODS

A total of 430 consecutive patients with symptomatic severe AS who underwent TAVR were included retrospectively. The primary endpoint of the study was the long-term all-cause mortality. The study population was divided into two groups according to the NPS value, including Group 1 (NPS 0-2) and Group 2 (NPS 3-4).

RESULTS

The all-cause mortality occurred in 250 patients (62.5%) patients during a follow-up time of 40.6 (22.0-69.4) months. During the follow-up period, all-cause mortality was higher in Group 2 compared with Group 1 (87.9% vs. 42.9%, p < 0.001). Older age (p < 0.001), chronic obstructive pulmonary disease (p = 0.015), left ventricular ejection fraction (p = 0.021), and being in Group 2 (high NPS) (hazard ratio: 7.058, 95% confidence interval: 5.174-9.629, p < 0.001) were found to be independent predictors of all-cause mortality at long-term follow-up.

CONCLUSION

The NPS as a malnutrition and inflammation marker in patients with severe aortic stenosis who underwent TAVR provides valuable information for all-cause mortality under long-term follow-up.

Comparison of Systemic Immune-Inflammation Index and Naples Prognostic Score for Prediction Coronary Artery Severity Patients Undergoing Coronary Computed Tomographic Angiography

This study compared the predictive power of the systemic immune-inflammation index (SII) and Naples prognostic score (NPS) in determining the severity of coronary artery disease (CAD). The study included 1138 patients who underwent coronary computed tomographic angiography (CCTA). The primary outcome was the evaluation of CAD severity, determined by the Coronary Artery Disease-Reporting and Data System (CAD-RADS) obtained from the CCTA scans. A basic statistical model including age, gender, chest pain, diabetes mellitus, hypertension, hyperlipidemia, and smoking was built, and categorical variables, NPS (Naples 3,4 vs 0,1,2) and SII, were added to the basic statistical model. The net benefits of the predictive parameters were determined by a decision curve analysis, and the association between CAD-RADS and NPS, SII was quantified by odds ratios (OR) and 95% confidence intervals (CI). The decision curve analysis showed that adding SII to the statistical model had a better full range of probability of clinical net benefit compared with the baseline model (OR: 5.77, 95% CI 4.15-8.02, P < .001). However, adding the NPS (P = .11) to the model did not outperform the basic statistical model. In conclusion, the SII may have a net predictive effect on top of traditional risk factors.

A novel prognostic prediction indicator in patients with acute pulmonary embolism: Naples prognostic score

Acute pulmonary embolism (APE) is a potentially fatal disease. Early risk stratification is essential to determining appropriate treatment. We aimed to investigate the predictive value of the Naples Prognostic Score (NPS) for 30-day all-cause mortality in patients with APE. In this retrospective analysis, 325 hospitalized patients with APE were divided into Groups 0 (n = 131), 1 (n = 153), and 2 (n = 41) according to the NPS. The primary outcome event was all-cause mortality during 30 days of follow-up from the day of admission. The correlation between NPS, clinical features, and outcomes in each group was evaluated. The patients were divided into two groups, survivor (n = 294) and nonsurvivor (n = 31), according to their prognosis. The results of the comparison between the three NPS groups revealed that patients with older age, faster heart rate, lower systolic blood pressure, low albumin and total cholesterol levels, high neutrophil to lymphocyte ratio (NLR), low lymphocyte-to-monocyte ratio (LMR), right heart dilatation, heart failure, malignancy, and lower extremity venous thrombosis had significantly higher 30-day all-cause mortality (P < 0.05). Area under the receiver operating characteristic curve (AUC) for NPS to predict all-cause death within 30 days in patients with APE was 0.780 (95% confidence interval [CI] = 0.678-0.855), with sensitivity being 80.6% (95% CI = 0.667-0.946) and specificity being 72.1% (95% CI = 0.670-0.772). Kaplan-Meier (KM) curves showed that Group 2 APE patients had the highest risk of all-cause mortality compared with the other two groups (log-rank test, P = 0.0004). Forest plot visualization using the Cox proportional hazard model showed a significant increase in the risk of 30-day all-cause mortality by 239% (hazard ratio [HR] = 3.385 [1.115-10.273], P = 0.031) and 338% (HR = 4.377 [1.228-15.598], P = 0.023), and the trend test showed a statistical difference (P = 0.042). The study concluded that NPS is a novel, reliable, and multidimensional prognostic scoring system with good prediction of 30-day all-cause mortality in patients with APE.

Naples score is associated with SYNTAX Score in patients with ST-segment elevation myocardial infarction

OBJECTIVE

The Naples Score (NS) predicts adverse outcomes in ST-elevation myocardial infarction (STEMI) patients, but the relationship between NS and the severity of coronary artery disease (CAD) in patients with STEMI has not been studied. In this study, we aimed to evaluate the role of NS at admission in predicting SYNTAX Score (SS).

METHOD

We gathered the data from 499 consecutive STEMI patients who underwent percutaneous coronary intervention between January 2018 and September 2020. Patients were divided into two groups: low SS group (≤22) and intermediate to high SS group (>22). NS was calculated for both groups besides baseline clinical and demographic variables.

RESULTS

NS was higher in the intermediate to high SS group and the SS was increasing as the NS escalates. In multivariate logistic regression analysis, the NS was an independent predictor of intermediate to high SS. Additionally, there was a positive correlation between SS and NS.

CONCLUSION

Presentation NS predicts CAD complexity in patients with STEMI.

Naples prognostic score as a novel prognostic prediction indicator in adult asthma patients: A population-based study

Objective

This study was to evaluate the prognostic value of the Naples prognostic score (NPS) in adult patients with asthma.

Methods

Data on 44 601 participants from the 1999-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. The NPS was calculated based on serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR), and participants were divided into 3 groups. Self-administered questionnaires were used to collect information on asthma, and mortality was identified using the National Death Index through December 31, 2019. Multiple logistic regressions were used to analyze the relationship between NPS and its components and the prevalence of asthma. Kaplan-Meier survival analysis, Cox proportional regressions, and the random survival forest (RSF) were used to assess the significance of NPS and its components in predicting all-cause and cause-specific (cardiovascular, cancer, and respiratory diseases) mortality in asthma patients.

Results

The mean age of the participants was 47.59 ± 0.18 years, and 48.47% were male. The prevalence of asthma was 13.11%. The participants were categorized into 3 groups: 8306 (18.6%) participants were in group 0 (NPS 0), 30 842 (69.2%) were in group 1 (NPS 1 or 2), and 5453 (11.2%) were in group 2 (NPS 3 or 4). Compared to the reference group, participants in group 2 had a higher prevalence of asthma (odds ratio [OR] = 1.40 [1.24-1.56]). Participants with asthma in group 2 had a significantly increased risk of all-cause mortality (hazard ratio [HR] = 2.42 [1.67-3.50]), cardiovascular mortality (HR = 2.68 [1.50-4.79]), cancer mortality (HR = 2.10 [1.00-4.45]), and respiratory disease mortality (HR = 3.00 [1.18-7.65]) compared to those with asthma in group 0. The RSF showed that NPS had the highest value in predicting all-cause mortality in adults with asthma, compared to its components.

Conclusions

The results of this study indicate that the NPS is a powerful prognostic indicator for outcomes in asthma patients.

Naples Prognostic Score and Clinical Outcomes in Pulmonary Arterial Hypertension Patients

Objectives

Pulmonary arterial hypertension (PAH) is a specific form of pulmonary hypertension characterized by an increased mean pulmonary arterial pressure. Risk stratification is crucial in managing PAH, using various clinical, laboratory, and imaging parameters. The Naples prognostic score (NPS), incorporating nutritional and inflammatory markers, has demonstrated prognostic value in other conditions but not in PAH. The goal of this study was to appraise the importance of NPS as a prognostic indicator for patients with PAH.

Methods

This retrospective study involved 101 PAH patients. Echocardiographic, laboratory, and right heart catheterization data were collected. Statistical analyses compared variables between survivors and non-survivors, and multivariate logistic regression identified mortality risk factors.

Results

Among the 101 patients, 18 died within the follow-up period. The mortality group showed elevated levels of B-type natriuretic peptide (BNP) and significantly higher median NPS. Patients were categorized based on their NPS scores, revealing higher mortality in Group 2. Multivariate logistic regression identified age and BNP levels as independent predictors of mortality. The inclusion of NPS in the model further reinforced its association with mortality.

Conclusion

The study suggests that NPS is linked to poor outcomes in PAH patients. NPS, a straightforward and easily calculated score, holds the potential to predict the clinical trajectory of PAH, offering advantages for risk assessment in this population.

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

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

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

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