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在实用临床试验中确定死亡事件:来自 TRANSFORM-HF 试验的见解。

Ascertaining Death Events in a Pragmatic Clinical Trial: Insights From the TRANSFORM-HF Trial.

机构信息

Duke Clinical Research Institute, Durham, North Carolina.

Duke Clinical Research Institute, Durham, North Carolina.

出版信息

J Card Fail. 2022 Oct;28(10):1563-1567. doi: 10.1016/j.cardfail.2022.01.020. Epub 2022 Feb 16.

Abstract

BACKGROUND

Death ascertainment can be challenging for pragmatic clinical trials that limit site follow-up activities to usual clinical care.

METHODS AND RESULTS

We used blinded aggregate data from the ongoing ToRsemide comparison with furoSemide FOR Management of Heart Failure (TRANSFORM-HF) pragmatic clinical trial in patients with heart failure to evaluate the agreement between centralized call center death event identification and the United States National Death Index (NDI). Of 2284 total patients randomized through April 12, 2021, 1480 were randomized in 2018-2019 and 804 in 2020-2021. The call center identified 416 total death events (177 in 2018-2019 and 239 in 2020-2021). The NDI 2018-2019 final file identified 178 death events, 165 of which were also identified by the call center. The study's inter-rater reliability metric (Cohen's kappa coefficient, 0.920; 95% confidence interval, 0.889-0.951) demonstrates a high level of agreement. The time between a death event and its identification was less for the call center (median, 47 days; interquartile range, 11-103 days) than for the NDI (median, 270 days; interquartile range, 186-391 days).

CONCLUSIONS

There is substantial agreement between deaths identified by a centralized call center and the NDI. However, the time between a death event and its identification is significantly less for the call center.

摘要

背景

对于限制现场随访活动至常规临床护理的实用临床试验,死亡确定可能具有挑战性。

方法和结果

我们使用正在进行的托塞米与呋塞米治疗心力衰竭(TRANSFORM-HF)实用临床试验的汇总数据进行盲法分析,这些数据来自心力衰竭患者,以评估集中呼叫中心死亡事件识别与美国国家死亡索引(NDI)之间的一致性。在 2021 年 4 月 12 日之前,共随机分配了 2284 例患者,其中 1480 例于 2018-2019 年随机分组,804 例于 2020-2021 年随机分组。呼叫中心共识别出 416 例总死亡事件(2018-2019 年 177 例,2020-2021 年 239 例)。NDI 2018-2019 年最终文件确定了 178 例死亡事件,呼叫中心也识别出其中 165 例。该研究的组内一致性度量(Cohen's kappa 系数,0.920;95%置信区间,0.889-0.951)表明一致性很高。呼叫中心识别死亡事件的时间(中位数,47 天;四分位距,11-103 天)明显短于 NDI(中位数,270 天;四分位距,186-391 天)。

结论

呼叫中心识别的死亡与 NDI 之间存在高度一致。然而,呼叫中心识别死亡事件与实际发生的时间间隔明显更短。

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