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年龄特异性舒张功能障碍通过心力衰竭 B 期改善对有症状心力衰竭的预测。

Age-specific diastolic dysfunction improves prediction of symptomatic heart failure by Stage B heart failure.

机构信息

Department of Cardiology, St. Vincent's Hospital, Melbourne, Australia.

Molecular Cardiology, St. Vincent's Institute of Medical Research, 41 Victoria Parade, Fitzroy, Victoria, 3065, Australia.

出版信息

ESC Heart Fail. 2019 Aug;6(4):747-757. doi: 10.1002/ehf2.12449. Epub 2019 May 15.

Abstract

AIMS

We investigated whether addition of diastolic dysfunction (DD) and longitudinal strain (LS) to Stage B heart failure (SBHF) criteria (structural or systolic abnormality) improves prediction of symptomatic HF in participants of the SCReening Evaluation of the Evolution of New Heart Failure study, a self-selected population at increased cardiovascular disease risk recruited from members of a health insurance fund in Melbourne and Shepparton, Australia. Both American Society of Echocardiography and European Association of Cardiovascular Imaging (ASE/EACVI) criteria and age-specific Atherosclerosis Risk in Communities (ARIC) study criteria, for SBHF and DD, and ARIC criteria for abnormal LS, were examined.

METHODS AND RESULTS

Inclusion criteria were age ≥60 years with one or more of self-reported ischaemic or other heart disease, irregular or rapid heart rhythm, cerebrovascular disease, renal impairment, or treatment for hypertension or diabetes for ≥2 years. Exclusion criteria were known HF, or ejection fraction <50% or >mild valve abnormality detected on previous echocardiography or other imaging. Echocardiography was performed in 3190 participants who were followed for a median of 3.9 (interquartile range: 3.4, 4.5) years after echocardiography. Symptomatic HF was diagnosed in 139 participants at a median of 3.1 (interquartile range: 2.1, 3.9) years after echocardiography. ARIC structural, systolic, and diastolic abnormalities predicted HF in univariate and multivariable proportional hazards analyses, whereas ASE/EACVI structural and systolic, but not diastolic, abnormalities predicted HF. ARIC and ASE/EACVI SBHF criteria predicted HF with sensitivities of 81% and 55%, specificities of 39% and 76%, and C statistics of 0.60 (95% confidence interval: 0.57, 0.64) and 0.66 (0.61, 0.71), respectively. Adding ARIC DD to SBHF increased sensitivity to 94% with specificity of 24% and C statistic of 0.59 (0.57, 0.61), whereas addition of ASE/EACVI DD to SBHF increased sensitivity to 97% but reduced specificity to 9% and the C statistic to 0.52 (0.50, 0.54, P < 0.0001). Addition of LS to ARIC or ASE/EACVI SBHF criteria had minimal impact on prediction of HF.

CONCLUSIONS

Age-specific ARIC DD criteria, but not ASE/EACVI DD criteria, predicted symptomatic HF, and addition of age-specific ARIC DD criteria to ARIC SBHF criteria improved prediction of symptomatic HF in asymptomatic individuals with cardiovascular disease risk factors. Addition of LS to ASE/EACVI or ARIC SBHF criteria did not improve prediction of symptomatic HF.

摘要

目的

我们研究了在 SCReening Evaluation of the Evolution of New Heart Failure 研究的参与者中,将舒张功能障碍 (DD) 和纵向应变 (LS) 添加到心力衰竭 B 期 (SBHF) 标准(结构性或收缩性异常)中是否能改善对有症状 HF 的预测。该研究为一项自选择人群,参与者来自澳大利亚墨尔本和谢帕顿的健康保险基金的心血管疾病风险增加的成员。我们检查了美国超声心动图学会和欧洲心血管成像协会 (ASE/EACVI) 以及年龄特异性社区动脉粥样硬化风险研究 (ARIC) 标准对 SBHF 和 DD 的标准,以及 ARIC 对异常 LS 的标准。

方法和结果

纳入标准为年龄≥60 岁,有一项或多项自述的缺血性或其他心脏病、不规则或快速的心律、脑血管疾病、肾功能损害或高血压或糖尿病治疗≥2 年。排除标准为已知 HF 或射血分数<50%或以前的超声心动图或其他影像学检查发现轻度瓣膜异常。对 3190 名参与者进行了超声心动图检查,在超声心动图检查后中位 3.9 年(四分位距:3.4,4.5)进行随访。在中位 3.1 年(四分位距:2.1,3.9)的超声心动图检查后,诊断出 139 名有症状 HF 患者。在单变量和多变量比例风险分析中,ARIC 结构性、收缩性和舒张性异常预测 HF,而 ASE/EACVI 结构性和收缩性异常,而非舒张性异常预测 HF。ARIC 和 ASE/EACVI SBHF 标准预测 HF 的敏感性分别为 81%和 55%,特异性分别为 39%和 76%,C 统计量分别为 0.60(95%置信区间:0.57,0.64)和 0.66(0.61,0.71)。将 ARIC DD 添加到 SBHF 中可将敏感性提高到 94%,特异性为 24%,C 统计量为 0.59(0.57,0.61),而将 ASE/EACVI DD 添加到 SBHF 中可将敏感性提高到 97%,但特异性降低至 9%,C 统计量降低至 0.52(0.50,0.54,P<0.0001)。LS 添加到 ARIC 或 ASE/EACVI SBHF 标准对 HF 的预测影响很小。

结论

年龄特异性 ARIC DD 标准,但不是 ASE/EACVI DD 标准,可预测有症状 HF,在有心血管疾病危险因素的无症状个体中,将年龄特异性 ARIC DD 标准添加到 ARIC SBHF 标准中可改善对有症状 HF 的预测。将 LS 添加到 ASE/EACVI 或 ARIC SBHF 标准中并不能改善对有症状 HF 的预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/6676278/f8434ac791af/EHF2-6-747-g001.jpg

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