Naples Prognostic Score Research Articles

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

Abstract Background/Introduction APE mortality rates are still not satisfactory despite new diagnosis and treatment methods (1). Thus, risk classification is crucial due to the wide range of clinical presentations. Several risk stratifications have been developed such as simplified Pulmonary Embolism Severity Index (sPESI) (2). Nonetheless, there remains a need for an optimal indicator that can be conveniently measured with a high degree of precision to predict clinical outcomes. Naples prognostic score (NPS) is a newly defined index that is developed to determine the prognosis of cancer patients and reflects the inflammatory and nutritional status of the patients (3). Purpose The aim of our study was to determine the long-term prognostic value of NPS in APE patients. Methods Two hundred ninety-three patients diagnosed with APE between November 2016 and February 2022 were included in the study. NPS consists of 4 parameters: serum albumin, total cholesterol (TC) concentration, neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR). Naples scores of all patients were calculated and the patients were divided into 2 groups according to their NPS and their long-term mortality was compared. The primary endpoint of the study was long-term mortality. Results The long-term mortality was observed in 38 patients out of 293 patients in the mean follow-up of 24 (16-42) months. In the low-Naples risk group (group 1), there were 215 patients, while the high-Naples risk group (group 2) had 78 patients. Multivariate analysis showed that NPS as a categorical parameter (HR: 3.458, 95%CI:1.734-6.896, p<0.001), NPS as a numerical parameter, (HR:1.651, 95%CI:1.217-2.241, p=0.001) and simplified pulmonary embolism severity index (sPESI) (HR:1.887, 95%CI:1.223-2.911), p=0.004) score were independent predictors of long-term mortality. The receiver operating characteristic curve analysis showed that the model 2 with NPS as continuous had higher discriminative ability than the baseline model for detecting patients with mortality (Area under curve (AUC) values = 0.791 vs. 0.723, respectively, p=0.04) (Figure 1A). The long-term predictive capability of NPS was non-inferior than the sPESI score (Figure 1B). Conclusions The current study highlights that NPS, which reflects systemic inflammation and nutritional status may have potential to predict long-term mortality in APE patients. To our knowledge, this is the first study to show the relationship between long-term mortality and NPS in APE patients.

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.

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.

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

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

The association between Naples Prognostic Score and all-cause and cardiovascular mortality in the general population with Metabolic Syndrome: a cohort study

Background and aimThe 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 resultsThis 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 2,744 (19.95%) in the low group, 9,140 (66.44%) in the medium group, and 1,873 (13.61%) in the high group. Over a median follow-up of 9.16 years, there were 3,292 all-cause deaths and 1,136 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). ConclusionsNPS 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.

TCT-150 Impact of Naples Prognostic Score on Clinical Outcomes After Transcatheter Aortic Valve Replacement in Patients With Severe Aortic Stenosis: A Systematic Review and Meta-Analysis With Reconstructed Time-to-Event Data

TCT-150 Impact of Naples Prognostic Score on Clinical Outcomes After Transcatheter Aortic Valve Replacement in Patients With Severe Aortic Stenosis: A Systematic Review and Meta-Analysis With Reconstructed Time-to-Event Data

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 &lt; .001; MODEL 2: AUC: 0.624, P &lt; .001, respectively). Kaplan–Meier survival analysis of two groups showed that high-risk group had higher incidence of MACE ( P &lt; .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.

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. 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. 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. 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.

The Naples Score: Can it Outperform Existing Scores in Predicting Gastric Cancer Mortality?

Objective: Gastric surgery, including curative and palliative procedures, is crucial in managing gastric cancer. Despite advancements, postoperative mortality remains a significant concern, influenced by factors such as patient nutritional status. Accurate assessment of nutritional status is essential for risk stratification and improving patient outcomes.This study aims to investigate the correlation between four nutritional scores: Naples Prognostic Score , Controlling Nutritional Status score, Prognostic Nutritional Index, and Systemic Inflammation Score and the mortality rate following gastric surgery, to identify the most reliable predictors of postoperative mortality. Materials and methods: This retrospective study evaluated 50 patients diagnosed with gastric adenocarcinoma and operated on at Erol Olçok Training and Research Hospital between April 2021 and September 2023. Data collected included age, gender, operation type, laparoscopy usage, albumin, cholesterol, neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, mortality rates, and TNM stages. Nutritional scores were calculated, and their predictive accuracy for mortality was assessed using time-dependent Receiver Operating Characteristic curve analysis. Results: The study included 50 patients. Significant differences in albumin levels, neutrophil-to-lymphocyte rate, lymphocyte-to-monocyte ratio, and nutritional scores were found between deceased and surviving patients. Prognostic Nutritional Index had the highest predictive accuracy with an Area under the curve of 0.792, sensitivity of 76%, and specificity of 86.2%, outperforming others. Conclusion: The Prognostic Nutritional Index is the most effective predictor of postoperative mortality among the evaluated scores.

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±31months. 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.

Prognostic value of Naples Prognostic Score in locally advanced cervical cancer patients undergoing concurrent chemoradiotherapy.

This study aimed to investigate the prognostic value of the Naples Prognostic Score (NPS) in patients with locally advanced cervical cancer (LACC) who received curative concurrent chemoradiotherapy (CCRT). Clinicopathological data from 213 (training set) and 106 (validation set) LACC cases undergoing CCRT were retrospectively analyzed. The receiver operating characteristic curve (ROC) was used to compare the predictive ability of NPS and other indicators for survival. Cox proportional hazard regression was conducted for overall survival (OS) and progression-free survival (PFS). A prediction model using a nomogram was developed with independent prognostic factors in the training set and validated in the validation set. The 5-year OS for the NPS = 1, 2, and 3 groups was 56.8%, 45.4%, and 28.9% (P < 0.001), and the 5-year PFS for the NPS = 1, 2, and 3 groups was 44.9%, 36.7%, and 28.4% (P = 0.001), respectively. NPS showed better predictive ability for OS and PFS compared to other indicators. Multivariate regression analysis identified NPS as an independent prognostic factor for OS (P < 0.001) and PFS (P < 0.001). A predictive nomogram based on NPS was established and validated. The C-indices of the nomogram in the training set were 0.722 for OS and 0.683 for PFS, while in the validation set the C-indices were 0.731 for OS and 0.693 for PFS. This study confirmed that preoperative NPS could serve as a useful independent prognostic factor in LACC patients treated with CCRT.

The Value of Naples Prognostic Score in Predicting Ischemia on Myocardial Perfusion Scintigraphy

Objectives: Naples prognostic score (NPS) is a recently established score that measures inflammation and nutritional conditions. This score includes lymphocyte-to-monocyte ratio, neutrophil-to-lymphocyte ratio, total cholesterol levels, and serum albumin levels. Initial studies have shown that the NPS score has more prognostic value than other inflammatory parameters in some cancer diseases. Recently, the association of the NPS score with various cardiovascular diseases has started to be evaluated. The association between ischemia in myocardial perfusion scanning and the Naples score has not yet been investigated. In this study, we evaluated if the NPS may help predict ischemia in myocardial perfusion scanning. Methods: This study included a total of 110 patients. All patients underwent myocardial perfusion scintigraphy (MPS) at the nuclear medicine department, with dipyridamole or adenosine administered as the pharmaceutical stressor. The subjects were divided into two groups according to the presence or absence of ischemia on gated single-photon emission computed tomography (SPECT) MPI. Laboratory values within the past month before MPS were obtained from digital records for both groups. The NPS was calculated for each group. Laboratory values and NPSs of the groups were compared. Results: All individuals in the trial had gated SPECT MPI. The average age of individuals was 59.8±11.1 years, with 62 patients (56%) being male. Subjects were divided into two groups according to the presence or absence of ischemia on gated SPECT MPI. Table 1 displays the demographics of the whole study population. Based on the laboratory data (Table 2), there was no significant difference in the demographic features of the groups. The ischemia group had significantly higher levels of white blood cell count (cells/ μL), neutrophil count (cells/µL), hemoglobin (g/dL), CRP (mg/L), and NPS (8.6±2.2, 7.7±1.9, p=0.040; 5.0±2.1, 4.1±1.3, p=0.014; 12.6±1.7, 13.4±1.8, p=0.025; 8.2±2.0, 7.9±2.0, p=0.004; 2.6±1.0, 1.5). Other laboratory results did not differ across the groups. Conclusion: Our findings indicated an association between NPS and the detection of ischemia in MPS. NPS is an independent variable for diagnosing myocardial ischemia in stable coronary artery disease patients.

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

BackgroundThe Naples Prognostic Score (NPS) is a novel indicator of inflammatory and nutritional status, but its relationship to lung health is unknown. ObjectiveTo evaluate the relationship of NPS to lung health problems. MethodsA 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. ResultsPeople 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. ConclusionsAn 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.

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

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

The Value of Preoperative C-Reactive Protein to Albumin Ratio as a Prognostic Biomarker in Colon Cancer Patients.

Inflammatory acute phase proteins have been reported to play a crucial role in cancer progression. Various hematologic and inflammatory markers and scores, such as the lymphocyte-to-monocyte ratio, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic inflammation score (SIS), prognostic nutritional index (PNI), Glasgow prognostic score, and, more recently, the Naples prognostic score, have been reported as significant prognostic markers. The aim of this prospective study was to evaluate the prognostic significance of the C reactive protein-to-albumin ratio (CAR) in patients with colon cancer. Materials and Methods: We conducted a prospective observational study on a series of patients who underwent curative surgery for colon cancer. The C reactive protein-to-albumin ratio was determined preoperatively, and we evaluated the correlations between the CAR and various clinical and pathological parameters, as well as the correlation with Overall and Relapse-free survival. Furthermore, we compared the accuracy of the CAR with that of the Naples score. Results: One hundred and ten patients were included in the study. We set 0.4927 as the cut-off value for the CAR according to a receiver operating characteristic curve analysis. Based on the cut-off value, patients were divided into a low CAR group and a high CAR group. The preoperative CAR exhibited statistically significant correlation with tumor volume, T and N stage, number of positive lymph nodes, and grade of tumor differentiation. We also demonstrated a positive correlation between high CAR values and a higher Naples score (p = 0.0005), even when a subgroup analysis was performed for each group individually. Conclusions: The preoperative CAR is a useful prognostic marker in patients with colon cancer. These results may help to design strategies to personalize targeted management approaches among colon cancer patients.

Predictive value of the Naples prognostic score on postoperative delirium in the elderly with gastrointestinal tumors: a retrospective cohort study

BackgroundPostoperative delirium (POD) is a common complication among elderly patients after surgery. The Naples Prognostic Score (NPS), a novel prognostic marker based on immune-inflammatory and nutritional status, was widely used in the assessment of the prognosis of surgical patients. However, no study has evaluated the relationship between NPS and POD. The aim of this article was to investigate the association between NPS and POD and test the predictive efficacy of preoperative NPS for POD in elderly patients with gastrointestinal tumors.Materials and methodsIn the present study, we retrospectively collected perioperative data of 176 patients (≥ 60 years) who underwent elective gastrointestinal tumor surgery from June 2022 to September 2023. POD was defined according to the chart-based method and the NPS was calculated for each patient. We compared all the demographics and laboratory data between POD and non-POD groups. Univariate and multivariate logistic regression analysis was used to explore risk factors of POD. Moreover, the accuracy of NPS in predicting POD was further assessed by utilizing receiver operating characteristic (ROC) curves.Results20 had POD (11.4%) in a total of 176 patients, with a median age of 71 (65–76). The outcomes by univariate analysis pointed out that age, ASA status ≥ 3, creatinine, white blood cell count, fasting blood glucose (FBG), and NPS were associated with the risk of POD. Multivariate logistic regression analysis further showed that age, ASA grade ≥ 3, FBG and NPS were independent risk factors of POD. Additionally, the ROC curves revealed that NPS allowed better prognostic capacity for POD than other variables with the largest area under the curve (AUC) of 0.798, sensitivity of 0.800 and specificity of 0.667, respectively.ConclusionAge, ASA grade ≥ 3, and FBG were independent risk factors for POD in the elderly underwent gastrointestinal tumor surgery. Notably, the preoperative NPS was a more effective tool in predicting the incidence of POD, but prospective trials were still needed to further validate our conclusion.Trial registrationThe registration information for the experiment was shown below. (date: 3rd January 2024; number: ChiCTR2400079459)

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

AimThis 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). MethodsData 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). ResultsNPS 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. ConclusionsThis 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.

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

BackgroundThe 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.MethodsPatients 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.ResultsA 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.ConclusionsNPS 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

ObjectiveInflammation, 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.MethodsData 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.ResultsThe 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.ConclusionsThis 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 role of Naples prognostic score for survival in esophageal cancer: A meta-analysis.

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