医学
心力衰竭
比例危险模型
危险系数
内科学
观察研究
接收机工作特性
回顾性队列研究
心脏病学
生存分析
预测模型
总体生存率
置信区间
作者
Aslan Erdoğan,Ömer Genç,Duygu İnan,Ufuk Yıldız,İsmail Balaban,Yeliz Güler,Duygu Genç,Eyüp Özkan,Ayşe Demirtola,Berk Erdinç,Engin Algül,Alev Kılıçgedik,Ali Karagöz
出处
期刊:Biomarkers in Medicine
[Future Medicine]
日期:2023-02-01
卷期号:17 (4): 219-230
被引量:6
标识
DOI:10.2217/bmm-2022-0689
摘要
Aim: This work was designed to investigate the relationship between cardiac outcomes and Naples Prognostic Score (NPS) among heart failure (HF) patients. Materials & methods: 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. Results: 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. Conclusion: NPS was associated with short- and midterm mortality as well as rehospitalization.Heart failure is a serious condition that affects millions of individuals around the world. This study was designed to investigate whether there is a relationship between Naples Prognostic Score (NPS) and worse outcomes in heart failure patients. A total of 298 patients with advanced heart failure were included in the study. Patients with a high NPS are more likely to pass away and need to be readmitted to the hospital. NPS also predicted survival more accurately than some other variables at an average of 15 months follow-up. In conclusion, NPS was found to be useful in predicting short- and medium-term mortality and readmissions in patients with advanced heart failure.
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