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使用回顾性算法提高临床医生对转甲状腺素蛋白淀粉样变性的怀疑度。

Increasing clinicians' suspicion of ATTR amyloidosis using a retrospective algorithm.

作者信息

Ammon Jessica, Alexander John, Petit-Frere Woodson, Alkhatib Deya, Rawal Aranyak, Newman Grace, Akbiligic Oguz, Borkowski Brian, Jefferies John, Rhea Isaac B

机构信息

Department of Internal Medicine, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.

Division of Cardiology, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.

出版信息

Cardiooncology. 2024 Nov 8;10(1):78. doi: 10.1186/s40959-024-00282-6.

Abstract

BACKGROUND

This study aimed to increase the index of suspicion for transthyretin amyloidosis (ATTR) among cardiologists leading to increased screening for amyloidosis.

METHODS

A retrospective algorithm was created to identify patients at risk for ATTR. A list of these patients and instructions on how to order amyloidosis testing were given to cardiologists, who then determined if further evaluation was warranted. The ordering trends of Technetium 99 m-Pyrophosphate (PYP) scans and the number of ordering physicians before and after this intervention were recorded across the entire practice.

RESULTS

The algorithm identified 349 potential high-risk patients of which only 23 eventually had PYP scans performed resulting in 2 equivocal and 1 positive results. Across the practice, over the 28 months before initiating this protocol, PYP scans were ordered for 22 patients of which 6 were equivocal or positive. Over the 23-month course of this project, 142 PYP scans were ordered of which 18 were equivocal or positive. The number of ordering providers increased from 7 prior to the protocol's implementation to 22 by the end of this project within 23 months. On change point analysis, PYP scan ordering increased after protocol initiation (regression coefficient 1.27 vs. 6.31, p < 0.001), as well as equivocal or positive PYP results (regression coefficient 0.38 vs. 0.52, p < 0.01).

CONCLUSION

The results of this study suggest that using this algorithm, despite it not being independently predictive of ATTR, did result in our clinicians having a lower threshold for testing for ATTR. More clinicians ordered appropriate testing, and more positive tests were obtained.

摘要

背景

本研究旨在提高心脏病专家对转甲状腺素蛋白淀粉样变性(ATTR)的怀疑指数,从而增加对淀粉样变性的筛查。

方法

创建了一种回顾性算法来识别ATTR风险患者。将这些患者名单以及如何订购淀粉样变性检测的说明提供给心脏病专家,然后由他们确定是否有必要进行进一步评估。记录了整个医疗机构在此次干预前后锝99m焦磷酸盐(PYP)扫描的订购趋势以及订购医生的数量。

结果

该算法识别出349名潜在高危患者,其中最终只有23人进行了PYP扫描,结果为2例可疑和1例阳性。在整个医疗机构中,在启动该方案前的28个月里,有22名患者进行了PYP扫描,其中6例为可疑或阳性。在该项目的23个月期间,共订购了142次PYP扫描,其中18例为可疑或阳性。订购检测的医生数量从方案实施前的7名增加到该项目结束时23个月内的22名。在变化点分析中,方案启动后PYP扫描订购量增加(回归系数1.27对6.31,p<0.001),可疑或阳性的PYP结果也增加(回归系数0 .38对0.52,p<0.01)。

结论

本研究结果表明,使用该算法,尽管它不能独立预测ATTR,但确实使我们的临床医生对ATTR检测的阈值降低。更多的临床医生订购了适当的检测,并且获得了更多阳性检测结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8264/11546096/66cba75643df/40959_2024_282_Fig1_HTML.jpg

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