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脑利钠肽前体 N 端片段与临床风险评分对慢性收缩性心力衰竭预后分层的比较。

N-terminal fraction of pro-B-type natriuretic peptide versus clinical risk scores for prognostic stratification in chronic systolic heart failure.

机构信息

1 Division of Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, Italy.

2 Institute of Life Sciences, Scuola Superiore Sant'Anna, Italy.

出版信息

Eur J Prev Cardiol. 2018 May;25(8):889-895. doi: 10.1177/2047487318766580. Epub 2018 Mar 23.

Abstract

Background The Seattle heart failure model or the cardiac and comorbid conditions (3C-HF) scores may help define patient risk in heart failure. Direct comparisons between them or versus N-terminal fraction of pro-B-type natriuretic peptide (NT-proBNP) have never been performed. Methods Data from consecutive patients with stable systolic heart failure and 3C-HF data were examined. A subgroup of patients had the Seattle heart failure model data available. The endpoints were one year all-cause or cardiovascular death. Results The population included 2023 patients, aged 68 ± 12 years, 75% were men. At the one year time-point, 198 deaths were recorded (10%), 124 of them (63%) from cardiovascular causes. While areas under the curve were not significantly different, NT-proBNP displayed better reclassification capability than the 3C-HF score for the prediction of one year all-cause and cardiovascular death. Adding NT-proBNP to the 3C-HF score resulted in a significant improvement in risk prediction. Among patients with Seattle heart failure model data available ( n = 798), the area under the curve values for all-cause and cardiovascular death were similar for the Seattle heart failure model score (0.790 and 0.820), NT-proBNP (0.783 and 0.803), and the 3C-HF score (0.770 and 0.800). The combination of the 3C-HF score and NT-proBNP displayed a similar prognostic performance to the Seattle heart failure model score for both endpoints. Adding NT-proBNP to the Seattle heart failure model score performed better than the Seattle heart failure model alone in terms of reclassification, but not discrimination. Conclusions Among systolic heart failure patients, NT-proBNP levels had better reclassification capability for all-cause and cardiovascular death than the 3C-HF score. The inclusion of NT-proBNP to the 3C-HF and Seattle heart failure model score resulted in significantly better risk stratification.

摘要

背景

西雅图心力衰竭模型或心脏合并症(3C-HF)评分可能有助于确定心力衰竭患者的风险。尚未对它们进行过直接比较,也未与 N 末端脑利钠肽前体(NT-proBNP)进行过比较。

方法

对连续患有稳定收缩性心力衰竭和 3C-HF 数据的患者数据进行了检查。一部分患者具有西雅图心力衰竭模型数据。终点是一年全因或心血管死亡。

结果

该人群包括 2023 例患者,年龄 68±12 岁,75%为男性。在一年时间点,记录了 198 例死亡(10%),其中 124 例(63%)为心血管原因。尽管曲线下面积没有显著差异,但 NT-proBNP 在预测一年全因和心血管死亡方面比 3C-HF 评分具有更好的重新分类能力。将 NT-proBNP 添加到 3C-HF 评分中可显著提高风险预测能力。在有西雅图心力衰竭模型数据的患者中(n=798),西雅图心力衰竭模型评分的全因和心血管死亡的曲线下面积值相似(0.790 和 0.820),NT-proBNP(0.783 和 0.803)和 3C-HF 评分(0.770 和 0.800)。3C-HF 评分和 NT-proBNP 的组合在两个终点对全因和心血管死亡的预后表现与西雅图心力衰竭模型评分相似。在重新分类方面,将 NT-proBNP 添加到西雅图心力衰竭模型评分中比单独使用西雅图心力衰竭模型评分表现更好,但在区分方面并非如此。

结论

在收缩性心力衰竭患者中,NT-proBNP 水平对全因和心血管死亡的重新分类能力优于 3C-HF 评分。将 NT-proBNP 纳入 3C-HF 和西雅图心力衰竭模型评分可显著改善风险分层。

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