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.

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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.

In this study, we aimed to understand how the Naples prognostic score (NPS) scoring system could predict the prognosis for patients with triple-negative breast cancer (TNBC). TNBC is a type of breast cancer that can be difficult to treat. Medical records of 223 women with TNBC were retrospectively analyzed. These women had their blood tested before surgery to check for certain markers related to nutrition and inflammation. NPS was used along with other scores to determine their accuracy in predicting survival. NPS was better at predicting outcomes than the other scores. The patients with higher NPS scores tended to have poorer outcomes. We also created a visual tool called a nomogram to help doctors predict patient outcomes based on the NPS scores. NPS can be a valuable tool for doctors treating patients with TNBC because it can help them predict how well a patient might do after surgery. This information could be used to tailor treatment plans for these patients. The nomogram provides a user-friendly way for doctors to use NPS in their practice. Overall, this study showed that NPS is a powerful tool for predicting outcomes for patients with TNBC, which could lead to better treatment decisions and improved outcomes for these patients.

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.

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.

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.

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

BACKGROUND: Postoperative 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 METHODS: In 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. RESULTS: 20 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. CONCLUSION: Age, 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 REGISTRATION: The registration information for the experiment was shown below. (date: 3rd January 2024; number: ChiCTR2400079459).

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.

Impact of change in the Naples prognostic score after neoadjuvant chemoradiotherapy on survival in esophageal squamous cell carcinoma patients.

OBJECTIVES: To assess the clinical relevance and prognostic value of changes in the Naples prognostic score (NPS) after neoadjuvant chemoradiotherapy (NACR) among esophageal squamous cell carcinoma (ESCC) patients. METHODS: We studied 232 locally advanced ESCC patients who received NACR before undergoing esophagectomy retrospectively. Categorizing individuals into the elevated NPS group and the non-elevated NPS group based on the change in NPS after NACR (ΔNPS > 0 or ∆NPS ≤ 0), we examined and compared the clinicopathological characteristics, survival rates, and postoperative complications between these 2 groups (∆NPS = post-NACR NPS - pre-NACR NPS). RESULTS: Results: Out of the 232 patients enrolled, 105 exhibited elevated NPS levels, while 127 showed non-elevated NPS levels. Survival analyses indicated inferior overall survival (OS) (p=0.024) and recurrence-free survival (RFS) (p=0.047) in the elevated NPS cohort compared to the non-elevated NPS cohort. Subsequent cox regression analyses identified the post-NACR change in NPS as an independent prognostic indicator for RFS (p=0.029) and OS (p=0.036). CONCLUSION: Elevated NPS post-NACR emerged as a significant indicator of worse prognosis for locally advanced ESCC patients who underwent NACR. This finding has great potential to be useful for recognizing high-risk ESCC patients who received NACR before undergoing esophagectomy and making individualized subsequent therapeutic decisions in clinical practice.

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.

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

BACKGROUND/AIM: This study aimed to evaluate the clinical impact of the Naples Prognostic Score (NPS) in patients with gastric cancer and to clarify the potential of the NPS as a nutritional and inflammation evaluation system. PATIENTS AND METHODS: This study included 158 patients who underwent curative treatment for gastric cancer between 2005 and 2020. The prognosis and clinical pathological parameters of the high-NPS (NPS >2) and low-NPS (NPS=0, 1) groups were analyzed. RESULTS: The overall survival (OS) rates at 3 and 5 years were 86.7% and 77.7%, respectively, in the low-NPS group and 55.4% and 47.4%, respectively, in the high-NPS group. There were significant differences in OS between the two groups. Uni- and multivariate analyses demonstrated that the NPS was an independent prognostic factor for OS (HR=2.495, 95%CI=1.240-5.451). In addition, the 3- and 5-year recurrence-free survival (RFS) rates were 82.1% and 76.0%, respectively, in the NPS-low group, and 43.8% and 36.6% in the NPS-high group. Univariate and multivariate analyses demonstrated that the NPS was an independent prognostic factor for RFS (HR=2.739, 95%CI=1.509-4.972). When the first site of recurrence was compared between the low-NPS group and high-NPS group, there were significant differences in peritoneal recurrence (8.7% vs. 34.3%, p=0.001) and hematologic recurrence (5.6% vs. 21.9%, p=0.004). CONCLUSION: The NPS was a significant prognostic factor in patients with gastric cancer who received curative treatment. The NPS may be a promising biomarker for the treatment and management of gastric cancer.

Clinical Implications of Naples Prognostic Score for Patients with Resected Cholangiocarcinoma: A Real-World Experience.

Purpose: The Nutritional Prognostic Score (NPS) is a composite indicator that effectively reflects the preoperative nutritional and inflammation status of patients. Its prognostic value has been extensively confirmed in various types of tumors. Our study aims to investigate the clinical implications of the NPS in the postoperative patients with cholangiocarcinoma (CCA). Patients and Methods: Data on clinicopathological characteristics were collected from CCA patients who underwent radical surgery between 2014 and 2019 at Harbin Medical University Cancer Hospital. NPS was calculated using relevant indicators to categorize the patients, and association of NPS with clinicopathological characteristics and survival outcomes were analyzed. To assess differences in survival rates between different groups, we utilized the Kaplan-Meier method. Independent prognostic risk factors were identified by Cox regression analysis. A CONomogram was created, and its accuracy in survival prediction was evaluated using receiver operating characteristic (ROC) curves. Independent verification was conducted in the validation group. Results: For this study, a cohort of 232 patients was enlisted and subsequently divided into training group (N=162) and validation group (N=70). An evident correlation was detected between NPS and preoperative malnutrition. Patients with higher NPS exhibited a worse overall survival (OS), with 5-year OS rates of 79.1%, 33.1%, and 10.6%. Multivariate analysis revealed that NPS was an independent risk factor for OS in resected CCA patients (P<0.001). The NPS-based Nomogram was developed to accurately assess the risk of patients. Conclusion: The NPS was identified as a significant risk factor that impacts the prognosis of patients with resected CCA. In order to improve prognosis management, the NPS-based Nomogram has been demonstrated to be a precise and efficient tool.

Thevalue of naples scores in predicting prognosis in breast cancer patients / 现代医院

Breast cancer is one of the most common cancers in women,but there is currently a lack of accurate prognos-tic assessment systems.The Naples Prognostic Score(NPS)is a prognostic prediction system that incorporates inflammatory and nutritional indicators.It has been proven to have important clinical utility in predicting the prognosis of patients with malignancies such as colon cancer,gallbladder cancer,endometrial cancer,and lung cancer.In recent years,research has found that NPS may be superior to TNMstaging in predicting the prognosis of breast cancer patients.It is an independent predictor of overall sur-vival(OS)and progression-free survival(PFS)in breast cancer patients.This suggests that NPS has great potential for applica-tion in predicting the prognosis of breast cancer.

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.

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

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

A novel 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 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.

Modified Naples prognostic score for evaluating the prognosis of patients with obstructive colorectal cancer.

BACKGROUND: Inflammatory, immune, and nutritional status are key factors in obstructive colorectal cancer (OCRC). This study aims to investigate the value of modified Naples prognostic score (M-NPS) in evaluating OCRC prognosis. METHODS: A total of 196 OCRC patients were retrospectively analyzed to construct M-NPS based on serum albumin (ALB), total cholesterol (CHOL), neutrophil:lymphocyte ratio (NLR), and lymphocyte:monocyte ratio (LMR), and then they were divided into three groups. The Kaplan-Meier (KM) method and Cox proportional hazard regression analysis were performed for overall survival (OS) and disease-free survival (DFS) of OCRC patients. RESULTS: Patients with high M-NPS had worse OS and DFS (P = 0.0001, P = 0.0011). Multivariate COX analysis showed that M-NPS was an independent prognostic factor for OCRC patients. Patients in the M-NPS 2 group had significantly worse OS (hazard ratio [HR] = 4.930 (95% confidence interval [95% CI], 2.217-10.964), P < 0.001) and DFS (HR = 3.508 (95% CI, 1.691-7.277), P < 0.001) than those in the 0 group. CONCLUSION: M-NPS was an independent prognostic factor for OCRC patients; it might provide a potential reference for immunonutritional intervention in patients with obstruction.

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.