Erdogan Aslan, Genc Omer, Inan Duygu, Yildiz Ufuk, Balaban Ismail, Guler Yeliz, Genc Duygu, Ozkan Eyup, Demirtola Ayse I, Erdinc Berk, Algul Engin, Kilicgedik Alev, Karagoz Ali
Clinic of Cardiology, Cam & Sakura City Hospital, 34480, Istanbul, Turkey.
Clinic of Cardiology, Kartal Kosuyolu Training & Research Hospital, 34865, Istanbul, Turkey.
Biomark Med. 2023 Feb;17(4):219-230. doi: 10.2217/bmm-2022-0689. Epub 2023 Apr 27.
This work was designed to investigate the relationship between cardiac outcomes and Naples Prognostic Score (NPS) among heart failure (HF) patients. 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. 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. NPS was associated with short- and midterm mortality as well as rehospitalization.
这项研究旨在调查心力衰竭（HF）患者的心脏预后与那不勒斯预后评分（NPS）之间的关系。这项回顾性观察性研究纳入了298例因纽约心脏协会3-4级HF连续住院的患者。主要结局是全因死亡率。次要结局是再次住院和院内死亡。高NPS组的全因死亡率在统计学上更高（p<0.001）。在Cox回归分析中，纳入NPS后，完整模型的性能比基线模型有显著改善（调整后的风险比=2.28；p=0.004）。基于时间依赖性受试者工作特征曲线分析，NPS模型在预测生存概率的判别能力方面优于基线模型和CONUT评分模型。NPS与短期和中期死亡率以及再次住院相关。
