Pharmacy Department, Kaiser Permanente Colorado, Aurora, CO, USA.
Cardiology Department, Colorado Permanente Medical Group, Aurora, CO, USA.
Perm J. 2023 Jun 15;27(2):51-60. doi: 10.7812/TPP/22.135. Epub 2023 Mar 27.
Introduction Transthyretin amyloid cardiomyopathy (ATTR-CM) is a progressive, infiltrative form of heart failure (HF). Nevertheless, ATTR-CM is a largely underrecognized and misdiagnosed condition. This study's objective was to develop an efficient model to assess the chance of ATTR-CM in patients with HF. Methods This was an observational study of patients with HF who had a confirmed diagnosis of ATTR-CM and those with HF but without known ATTR-CM between January 1, 2019, and July 1, 2021. Patient characteristics were extracted from administrative and claims electronic databases and compared between the groups. A propensity score for having ATTR-CM was modeled. Samples of 50 control patients with the highest and lowest propensity scores were adjudicated to assess whether further workup to evaluate for ATTR-CM was warranted for each patient. The sensitivity and specificity of the model were calculated. Results Thirty-one patients with confirmed ATTR-CM and 7620 patients without known ATTR-CM were included in the study. Patients with ATTR-CM were more likely to be Black and to have atrial flutter/fibrillation, cardiomegaly, HF with preserved ejection fraction, pericardial effusion, carpal tunnel syndrome, joint disorders, and lumbar spinal stenosis and to use a diuretic (all p < 0.05). A propensity model with 16 inputs was developed (c-statistic = 0.875). The model's sensitivity and specificity were 71.9% and 95.2%, respectively. Conclusion The propensity model developed in this study provided an efficient means for identifying patients with HF who are more likely to have ATTR-CM and may warrant further workup.
简介
转甲状腺素蛋白淀粉样心肌病(ATTR-CM)是一种进行性、浸润性心力衰竭(HF)形式。然而,ATTR-CM 是一种很大程度上未被认识和误诊的疾病。本研究的目的是开发一种有效的模型来评估 HF 患者发生 ATTR-CM 的可能性。
方法
这是一项观察性研究,纳入了 2019 年 1 月 1 日至 2021 年 7 月 1 日期间确诊为 ATTR-CM 的 HF 患者和 HF 但无已知 ATTR-CM 的患者。从行政和索赔电子数据库中提取患者特征,并在两组之间进行比较。对是否患有 ATTR-CM 进行倾向评分建模。对具有最高和最低倾向评分的 50 名对照患者进行样本裁决,以评估是否需要对每位患者进行进一步检查以评估是否存在 ATTR-CM。计算模型的敏感性和特异性。
结果
研究纳入了 31 例确诊为 ATTR-CM 的患者和 7620 例无已知 ATTR-CM 的患者。ATTR-CM 患者更可能为黑人,更可能患有心房颤动/扑动、心脏扩大、射血分数保留的心力衰竭、心包积液、腕管综合征、关节疾病和腰椎椎管狭窄,并且更可能使用利尿剂(均 P<0.05)。开发了一个具有 16 个输入的倾向模型(c 统计量=0.875)。该模型的敏感性和特异性分别为 71.9%和 95.2%。
结论
本研究中开发的倾向模型为识别更有可能患有 ATTR-CM 的 HF 患者提供了一种有效的方法,可能需要进一步检查。