Predictors of long-term all-cause mortality after carotid artery stenting: evaluation of the Naples prognostic score.

IF 2 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biomarkers Pub Date : 2024-12-27 DOI:10.1080/1354750X.2024.2445801
Cemalettin Yılmaz, Muhammet M Tiryaki, Ahmet Karaduman, Büşra Güvendi Şengör, Tuba Unkun, Enise N Özlem Tiryaki, Hüseyin Akçalı, Barkın Kültürsay, Lütfi Öcal, Regayip Zehir
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Abstract

Background: Mortality in patients after carotid artery stenting (CAS), a treatment approach for atherosclerotic carotid artery stenosis, is influenced by numerous factors. This study aimed to investigate the prognostic value of the Naples prognostic score (NPS), which reflects nutritional and inflammatory status, in CAS patients.

Methods: We retrospectively included 697 patients who underwent CAS from January 2016 to December 2020 at our institute. The primary endpoint of the study was long-term all-cause mortality. The study population was divided into two groups based on the NPS value: Low NPS (NPS 0-2) and high NPS (NPS 3-4). Univariable and multivariable Cox regression analysis was used to identify independent predictors of death.

Results: The median follow-up time was 60.8 (46.36-75.36) months. During the follow-up period, all-cause mortality was higher in the high-NPS group compared to the low-NPS group [54% (n = 88) vs. 24% (n = 128) p < 0.001]. Advanced age (p = 0.003), diabetes (p = 0.023), and NPS (hazard ratio: 1.83, confidence interval: 1.58-2.12, p < 0.001) were found to be independent predictors of all-cause mortality at long-term follow-up.

Conclusion: Consequently, NPS as a marker of malnutrition and inflammation, was found to be associated with long-term mortality and serves as an independent predictor of long-term mortality in patients undergoing CAS.

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颈动脉支架植入术后长期全因死亡率的预测因素:那不勒斯预后评分的评估。
背景:颈动脉支架植入术(CAS)是治疗动脉粥样硬化性颈动脉狭窄的一种方法,其死亡率受多种因素影响。本研究旨在探讨那不勒斯预后评分(NPS)在CAS患者中的预后价值,该评分反映了营养和炎症状况。方法:我们回顾性地纳入了2016年1月至2020年12月在我院接受CAS治疗的697例患者。研究的主要终点是长期全因死亡率。根据NPS值将研究人群分为低NPS (NPS 0-2)和高NPS (NPS 3-4)两组。采用单变量和多变量Cox回归分析确定独立的死亡预测因素。结果:中位随访时间为60.8(46.36 ~ 75.36)个月。在随访期间,与低NPS组相比,高NPS组的全因死亡率更高[54% (n = 88)对24% (n = 128)]。结论:因此,NPS作为营养不良和炎症的标志,被发现与长期死亡率相关,并作为CAS患者长期死亡率的独立预测因子。
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来源期刊
Biomarkers
Biomarkers 医学-毒理学
CiteScore
5.00
自引率
3.80%
发文量
140
审稿时长
3 months
期刊介绍: The journal Biomarkers brings together all aspects of the rapidly growing field of biomarker research, encompassing their various uses and applications in one essential source. Biomarkers provides a vital forum for the exchange of ideas and concepts in all areas of biomarker research. High quality papers in four main areas are accepted and manuscripts describing novel biomarkers and their subsequent validation are especially encouraged: • Biomarkers of disease • Biomarkers of exposure • Biomarkers of response • Biomarkers of susceptibility Manuscripts can describe biomarkers measured in humans or other animals in vivo or in vitro. Biomarkers will consider publishing negative data from studies of biomarkers of susceptibility in human populations.
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