Division of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
ESC Heart Fail. 2022 Aug;9(4):2107-2118. doi: 10.1002/ehf2.13917. Epub 2022 Apr 6.
No biomarker has achieved widespread acceptance as a surrogate endpoint for early-phase heart failure (HF) trials. We assessed whether changes over time in a panel of plasma biomarkers were associated with subsequent morbidity/mortality in HF with reduced ejection fraction (HFrEF).
In 1040 patients with HFrEF from the BIOSTAT-CHF cohort, we investigated the associations between changes in the plasma concentrations of 30 biomarkers, before (baseline) and after (9 months) attempted optimization of guideline-recommended therapy, on top of the BIOSTAT risk score and the subsequent risk of HF hospitalization/all-cause mortality using Cox regression models. C-statistics were calculated to assess discriminatory power of biomarker changes/month-nine assessment. Changes in N-terminal pro-B-type natriuretic peptide (NT-proBNP) and WAP four-disulphide core domain protein HE4 (WAP-4C) were the only independent predictors of the outcome after adjusting for their baseline plasma concentration, 28 other biomarkers (both baseline and changes), and BIOSTAT risk score at baseline. When adjusting for month-nine rather than baseline biomarkers concentrations, only changes in NT-proBNP were independently associated with the outcome. The C-statistic of the model including the BIOSTAT risk score and NT-proBNP increased by 4% when changes were considered on top of baseline concentrations and by 1% when changes in NT-proBNP were considered on top of its month-nine concentrations and the BIOSTAT risk score.
Among 30 relevant biomarkers, a change over time was significantly and independently associated with HF hospitalization/all-cause death only for NT-proBNP. Changes over time were modestly more prognostic than baseline or end-values alone. Changes in biomarkers should be further explored as potential surrogate endpoints in early phase HF trials.
目前还没有一种生物标志物被广泛认可为心力衰竭(HF)早期试验的替代终点。我们评估了在射血分数降低的心力衰竭(HFrEF)患者中,一段时间内一系列血浆生物标志物的变化是否与随后的发病率/死亡率相关。
在 BIOSTAT-CHF 队列的 1040 例 HFrEF 患者中,我们研究了在指南推荐治疗优化尝试之前(基线)和之后(9 个月)的血浆生物标志物浓度变化与 BIOSTAT 风险评分之间的关系,以及随后 HF 住院/全因死亡率的风险使用 Cox 回归模型。计算 C 统计量以评估生物标志物变化/每月 9 次评估的判别能力。在调整了其基线血浆浓度、28 种其他生物标志物(基线和变化)和基线 BIOSTAT 风险评分后,N 末端脑利钠肽前体(NT-proBNP)和 WAP 四硫键核心域蛋白 HE4(WAP-4C)的变化是唯一与结局相关的独立预测因素。当调整为每月 9 次而不是基线生物标志物浓度时,只有 NT-proBNP 的变化与结局独立相关。当考虑到基线浓度时,包括 BIOSTAT 风险评分和 NT-proBNP 的模型的 C 统计量增加了 4%,当考虑到其每月 9 次浓度和 BIOSTAT 风险评分时,NT-proBNP 的变化增加了 1%。
在 30 种相关生物标志物中,只有 NT-proBNP 的时间变化与 HF 住院/全因死亡显著且独立相关。与基线或终点值相比,时间变化的预后能力略强。生物标志物的变化应进一步作为早期 HF 试验的潜在替代终点进行探索。