Jiang Yan, Chen Yaqin, Lu Wen, Peng Yanchun, Chen Liangwan, Lin Yanjuan
School of Nursing, Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
Department of Nursing, Fujian Medical University Union Hospital, Fuzhou, Fujian, People's Republic of China.
J Inflamm Res. 2025 May 30;18:6999-7012. doi: 10.2147/JIR.S527868. eCollection 2025.
The Naples Prognostic Score (NPS) is a tool for assessing inflammation and nutrition, widely used in outcome evaluation. However, its association with adverse outcomes in patients with coronary artery disease (CAD) has not been explored. This study aims to investigate the prognostic value of NPS in CAD patients.
This retrospective cohort study included 2453 patients with CAD who visited the Fujian Heart Medical Center between 2017 and 2022. Patients were divided into three groups based on NPS. The NPS was calculated based on serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. Univariate and multivariate regression analyses, along with Cox models, were used to assess the impact of NPS on adverse outcomes. Receiver operating characteristic (ROC) curves evaluated NPS's accuracy in predicting all-cause in-hospital mortality.
Patients with lower NPS scores are less likely to have comorbidities such as hyperlipidemia and chronic kidney disease. Additionally, they tend to use fewer medications for treatment. Multivariate analysis revealed that elevated NPS levels were independently associated with poorer clinical outcomes. Compared to group 1, the risk of all-cause mortality was significantly higher in groups 2 and 3 [group 2, adjusted odds ratio (aOR)=0.33; group 3, aOR=1.82; =0.037], the risk of acute myocardial infarction was higher (group 2, aOR=2.41; group 3, aOR=4.05; <0.001), and the risk of stroke was also higher (group 2, aOR=1.26; group 3, aOR=1.80; =0.039). ROC curve analysis showed that NPS could independently predict the risk of all-cause mortality in patients with CAD.
This study suggests that the NPS, a novel metric integrating inflammation and nutritional status, is closely associated with the prognosis of CAD.
那不勒斯预后评分(NPS)是一种用于评估炎症和营养状况的工具,广泛应用于预后评估。然而,其与冠状动脉疾病(CAD)患者不良结局的关联尚未得到探讨。本研究旨在调查NPS在CAD患者中的预后价值。
这项回顾性队列研究纳入了2017年至2022年间就诊于福建心脏医学中心的2453例CAD患者。根据NPS将患者分为三组。NPS基于血清白蛋白、总胆固醇、中性粒细胞与淋巴细胞比值以及淋巴细胞与单核细胞比值进行计算。采用单因素和多因素回归分析以及Cox模型来评估NPS对不良结局的影响。受试者工作特征(ROC)曲线评估NPS预测全因院内死亡率的准确性。
NPS评分较低的患者患高脂血症和慢性肾病等合并症的可能性较小。此外,他们使用的治疗药物往往较少。多因素分析显示,NPS水平升高与较差的临床结局独立相关。与第1组相比,第2组和第3组的全因死亡率风险显著更高[第2组,调整优势比(aOR)=0.33;第3组,aOR=1.82;P=0.037],急性心肌梗死风险更高(第2组,aOR=2.41;第3组,aOR=4.05;P<0.001),中风风险也更高(第2组,aOR=1.26;第3组,aOR=1.80;P=0.039)。ROC曲线分析表明,NPS能够独立预测CAD患者的全因死亡风险。
本研究表明,NPS作为一种整合炎症和营养状况的新指标,与CAD的预后密切相关。