Ihne-Schubert Sandra Michaela, Morbach Caroline, Cejka Vladimir, Steinhardt Maximilian Johannes, Papagianni Aikaterini, Frantz Stefan, Einsele Hermann, Wehler Thomas, Kortüm Klaus Martin, Sommer Claudia, Störk Stefan, Schubert Torben, Geier Andreas
Interdisciplinary Amyloidosis Center of Northern Bavaria, University Hospital of Würzburg, Würzburg, Germany.
Department of Internal Medicine II, Hematology, University Hospital of Würzburg, Würzburg, Germany.
Clin Res Cardiol. 2024 Aug 6. doi: 10.1007/s00392-024-02512-4.
BACKGROUND/AIMS: Congestion is prognostically relevant in cardiac transthyretin amyloidosis (ATTR-CA), but whether congestion has an incremental prognostic value beyond the well-established, congestion-sensitive NT-proBNP is unknown. Therefore, we aimed to comparatively evaluate the prognostic utility of several congestion surrogates over NT-proBNP.
We estimated hazard ratios by Cox proportional hazards regressions with time-varying covariates from a panel data set of the local amyloidosis cohort study AmyKoS. Different models were compared by using chi(χ)-statistics measuring overall model significance.
RESULTS/CONCLUSION: 131 ATTR-CA patients (wild-type 84.0%, hereditary 6.9%, without genetic testing 9.2%; median age 78.7 (quartiles 73.3, 82.1) years; 85.5% male) with 566 observations across a median follow-up of 38.2 (30.6; 48.2) months were analyzed. 83.2% received disease-modifying treatment; 20.6% participated concurrently in placebo-controlled gene silencer trials. Information on congestion improved biomarker-driven risk stratification and identified patients at the highest risk. Echocardiographic congestion markers performed better than clinical findings and daily diuretic use/dosage. Relevant adjusters were daily diuretic dosage, disease-modifying treatment, eGFR, and right atrial volume. NT-proBNP and the tricuspid regurgitation peak velocity (tr-v) provided an easy-to-use stratification with overall model performance similar to NAC and Mayo staging systems. Further analyses are necessary for validation and to identify the optimal cut points of the congestion markers.
背景/目的:在心脏转甲状腺素蛋白淀粉样变性(ATTR-CA)中,充血具有预后相关性,但充血是否具有超出已确立的、对充血敏感的N末端脑钠肽前体(NT-proBNP)的增量预后价值尚不清楚。因此,我们旨在比较评估几种充血替代指标相对于NT-proBNP的预后效用。
我们使用来自当地淀粉样变性队列研究AmyKoS的面板数据集,通过具有时变协变量的Cox比例风险回归估计风险比。通过使用测量总体模型显著性的卡方(χ)统计量比较不同模型。
结果/结论:分析了131例ATTR-CA患者(野生型84.0%,遗传性6.9%,未进行基因检测9.2%;中位年龄78.7岁(四分位数73.3,82.1);85.5%为男性),在中位随访38.2(30.6;48.2)个月期间有566次观察。83.2%接受了疾病修饰治疗;20.6%同时参与了安慰剂对照的基因沉默试验。充血信息改善了生物标志物驱动的风险分层,并识别出风险最高的患者。超声心动图充血标志物的表现优于临床发现和每日利尿剂使用/剂量。相关调整因素为每日利尿剂剂量、疾病修饰治疗、估算肾小球滤过率(eGFR)和右心房容积。NT-proBNP和三尖瓣反流峰值速度(tr-v)提供了一种易于使用的分层方法,总体模型性能与NAC和梅奥分期系统相似。需要进一步分析以进行验证并确定充血标志物的最佳切点。