Kang Yue, Tan Yingjian, Tie Yongxin, Zhang Yujing, Cui Chenyu, Zhao Yuanyuan
Department of Pulmonary and Critical Care Medicine, Xinxiang Central Hospital, Xinxiang, China.
Department of Pulmonary and Critical Care Medicine, The Fourth Clinical College of Xinxiang Medical University, Xinxiang, China.
Front Nutr. 2024 Dec 16;11:1502266. doi: 10.3389/fnut.2024.1502266. eCollection 2024.
Previous studies have demonstrated that the Naples Prognostic Score (NPS) provides strategic direction in the prognosis of malignant illness. Nevertheless, its relationship with chronic obstructive pulmonary disease (COPD) remains underexplored. Therefore, additional research specifically focusing on the relationship between the Naples Prognostic Score and COPD is necessary to determine its widespread applicability.
The objective was to explore the relationship between the NPS and the susceptibility to developing COPD.
A total of 15,184 participants were included in our research, and statistical analyses were performed after weighting. We used weighted logistic regression to assess whether the NPS and COPD had a relationship, as well as its association with lung function. Subgroup analysis was used to detect the interaction. In addition, Kaplan-Meier survival curves were generated, and adjusted hazard ratios of different causes of death were calculated using Cox regression.
Our investigation examined 15,184 participants' data and then revealed a significant positive link between the NPS and COPD risk, while smoking has an interactive effect on it. A trend toward a decreasing prevalence of lung function indicators such as FEV1 [OR (95%CI), -339.70 (-456.53, -222.87)], FVC [OR (95%CI), -296.70 (-435.34, -158.06)], FEV1/FVC [OR (95%CI), -0.03 (-0.04, -0.02)], predicted FEV1 [OR (95%CI), -0.09 (-0.14, -0.04)], and predicted FVC [OR (95%CI), -0.08 (-0.15, -0.01)] was observed with increased NPS levels. Survival curves were drawn, and Cox regression analysis was conducted by dividing participants into group 0, group 1, and group 2 with NPS values of 0, 1-2, and 3-4, respectively. After assigning participants to groups 0, 1, and 2, with NPS values of 0, 1-2, and 3-4, respectively, the survival curves were created, and the Cox regression analysis was carried out. All-cause mortality [HR (95%CI), 1.68 (1.39-2.85)] and hypertension-related mortality [HR (95%CI), 67.64 (8.88-515.07)] of group 2 were significantly elevated.
The findings of this study suggested that the NPS serves as a robust prognostic indicator of COPD.
先前的研究表明,那不勒斯预后评分(NPS)为恶性疾病的预后提供了战略指导。然而,其与慢性阻塞性肺疾病(COPD)的关系仍未得到充分研究。因此,有必要进行专门针对那不勒斯预后评分与COPD之间关系的进一步研究,以确定其广泛适用性。
目的是探讨NPS与患COPD易感性之间的关系。
我们的研究共纳入了15184名参与者,并在加权后进行了统计分析。我们使用加权逻辑回归来评估NPS与COPD是否有关系,以及其与肺功能的关联。亚组分析用于检测相互作用。此外,生成了Kaplan-Meier生存曲线,并使用Cox回归计算了不同死因的调整后风险比。
我们的调查分析了15184名参与者的数据,并揭示了NPS与COPD风险之间存在显著的正相关,而吸烟对其有交互作用。随着NPS水平的升高,肺功能指标如FEV1[比值比(95%置信区间),-339.70(-456.53,-222.87)]、FVC[比值比(95%置信区间),-296.70(-435.34,-158.06)]、FEV1/FVC[比值比(95%置信区间),-0.03(-0.04,-0.02)]、预计FEV1[比值比(95%置信区间),-0.09(-0.14,-0.04)]和预计FVC[比值比(95%置信区间),-0.08(-0.15,-0.01)]呈下降趋势。绘制了生存曲线,并将参与者按NPS值分别为0、1-2和3-4分为第0组、第1组和第2组进行Cox回归分析。将参与者分别归入NPS值为0、1-2和3-4的第0组、第1组和第2组后,创建了生存曲线并进行了Cox回归分析。第2组的全因死亡率[风险比(95%置信区间),1.68(1.39-2.85)]和高血压相关死亡率[风险比(95%置信区间),67.64(8.88-515.07)]显著升高。
本研究结果表明,NPS是COPD的一个有力预后指标。