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心力衰竭住院后死亡率或再入院风险预测指数的比较性能

Comparative performance of risk prediction indices for mortality or readmission following heart failure hospitalization.

作者信息

Averbuch Tauben, Zafari Ali, Islam Shofiqul, Lee Shun Fu, Sankaranarayanan Rajiv, Greene Stephen J, Mamas Mamas A, Pandey Ambarish, Van Spall Harriette Gc

机构信息

Department of Cardiology, University of Calgary, Calgary, AB, Canada.

Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

ESC Heart Fail. 2025 Apr;12(2):1227-1236. doi: 10.1002/ehf2.15129. Epub 2025 Jan 21.

Abstract

AIMS

Risk prediction indices used in worsening heart failure (HF) vary in complexity, performance, and the type of datasets in which they were validated. We compared the performance of seven risk prediction indices in a contemporary cohort of patients hospitalized for HF.

METHODS AND RESULTS

We assessed the performance of the Length of stay and number of Emergency department visits in the prior 6 months (LE), Length of stay, number of Emergency department visits in the prior 6 months, and admission N-Terminal prohormone of brain natriuretic peptide (NT-proBNP (LENT), Length of stay, Acuity, Charlson co-morbidity index, and number of Emergency department visits in the prior 6 months (LACE), Get With The Guidelines Heart Failure (GWTG), Readmission Risk Score (RRS), Enhanced Feedback for Effective Cardiac Treatment model (EFFECT), and Acute Decompensated Heart Failure National Registry (ADHERE) risk indices among consecutive patients hospitalized for HF and discharged alive from January 2017 to December 2019 in a network of hospitals in England. The primary composite outcome was 30-day all-cause mortality or readmission. We assessed model discrimination and overall accuracy using the C-statistic (higher values, better) and Brier score (lower values, better), respectively. Among 1206 patients in the cohort, 45.0% were female, mean (SD) age was 76.6 (11.7) years, and mean (SD) left ventricular ejection fraction was 43.0% (11.6). At 30 days, 236 (19.6%) patients were readmitted and 28 (2.3%) patients died, with 264 (21.9%) patients experiencing either readmission or death. The LENT index offered the combination of greatest risk discrimination and accuracy for the primary composite outcome (C-statistic: 0.97; 95% CI 0.96, 0.98; 0.29; Brier score: 0.05). The LE (C-statistic: 0.95; 95% CI 0.93, 0.96; Brier score: 0.06) and LACE (C-statistic: 0.90; 95% CI 0.88, 0.92; Brier score 0.09) indices had high discrimination and accuracy. Discrimination and accuracy were modest with the RRS (C-statistic: 0.65; 95% CI 0.61, 0.69; Brier score: 0.16) and EFFECT (C-statistic: 0.64; 95% CI 0.60, 0.67; Brier score: 0.16) score; and poor with the GWTG-HF (C-statistic: 0.62; 95% CI 0.58, 0.66; Brier score: 0.17) and ADHERE (C-statistic: 0.54; 95% CI 0.50, 0.57; Brier score: 0.17) scores.

CONCLUSIONS

In a study that compared the performance of seven risk prediction indices in a contemporary cohort of patients hospitalized for HF, the simple LENT index offered the greatest combination of discrimination and accuracy for the primary composite outcome of 30-day all-cause mortality or readmission. This three-variable index -using length of hospital stay, preceding emergency department visits and admission NT-proBNP level- is a practical and reliable way to assess prognosis following hospitalization for HF.

摘要

目的

用于预测心力衰竭(HF)病情恶化的风险预测指数在复杂性、性能以及所验证的数据集类型方面存在差异。我们比较了七种风险预测指数在当代因HF住院患者队列中的性能。

方法与结果

我们评估了前6个月的住院时间和急诊科就诊次数(LE)、前6个月的住院时间、急诊科就诊次数以及入院时脑钠肽前体N末端(NT-proBNP)(LENT)、住院时间、病情严重程度、查尔森合并症指数以及前6个月的急诊科就诊次数(LACE)、遵循心力衰竭治疗指南(GWTG)、再入院风险评分(RRS)、有效心脏治疗强化反馈模型(EFFECT)和急性失代偿性心力衰竭国家注册系统(ADHERE)等风险指数在2017年1月至2019年12月期间于英格兰一家医院网络中连续住院且存活出院的HF患者中的性能。主要复合结局为30天全因死亡率或再入院。我们分别使用C统计量(值越高越好)和Brier评分(值越低越好)评估模型的辨别力和总体准确性。在该队列的1206例患者中,45.0%为女性,平均(标准差)年龄为76.6(11.7)岁,平均(标准差)左心室射血分数为43.0%(11.6)。在30天时,236例(19.6%)患者再入院,28例(2.3%)患者死亡,264例(21.9%)患者经历了再入院或死亡。LENT指数在主要复合结局方面提供了最大的风险辨别力和准确性组合(C统计量:0.97;95%置信区间0.96,0.98;Brier评分:0.05)。LE(C统计量:0.95;95%置信区间0.93,0.96;Brier评分:0.06)和LACE(C统计量:0.90;95%置信区间0.88,0.92;Brier评分0.09)指数具有较高的辨别力和准确性。RRS(C统计量:0.65;95%置信区间0.61,0.69;Brier评分:0.16)和EFFECT(C统计量:0.64;95%置信区间0.60,0.67;Brier评分:0.16)评分的辨别力和准确性中等;GWTG-HF(C统计量:0.62;95%置信区间0.58,0.66;Brier评分:0.17)和ADHERE(C统计量:0.54;95%置信区间0.50,0.57;Brier评分:0.17)评分较差。

结论

在一项比较七种风险预测指数在当代因HF住院患者队列中性能的研究中,简单的LENT指数在30天全因死亡率或再入院这一主要复合结局方面提供了最大的辨别力和准确性组合。这个包含住院时间、之前的急诊科就诊次数和入院时NT-proBNP水平的三变量指数是评估HF住院后预后的一种实用且可靠的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98e8/11911581/0ecb6b6a32a1/EHF2-12-1227-g003.jpg

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