Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF).
Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF).
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DOI：
10.1007/s10916-018-1066-7
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发表时间：
2018-09-25
影响因子：
5.3
通讯作者：
Murphy SN
中科院分区：
文献类型：
--
作者：
Wagholikar KB;Fischer CM;Goodson A;Herrick CD;Rees M;Toscano E;MacRae CA;Scirica BM;Desai AS;Murphy SN
左心室射血分数（LVEF）是心血管结局的重要预后指标。它在临床上用于确定几种治疗干预的适应症。LVEF最常使用在线工具和心脏病专家根据标准化超声心动图视图进行的一些手动评估得出。LVEF通常记录在自由文本报告中，并且LVEF记录的变化对基于计算机的临床工作流程中LVEF的提取和利用提出了挑战。为了解决这个问题，我们开发了一种计算机化算法，从超声心动图报告中提取LVEF，用于识别射血分数降低的心力衰竭（HFrEF）患者，以便在大型医疗保健系统中进行治疗干预。我们处理了57，158名编码诊断为心力衰竭的患者的超声心动图报告，这些患者在两年期间访问了医疗保健系统。我们的算法共识别出3910例射血分数降低的患者。在处理的46，634份超声心动图报告中，97%提到了LVEF。在这些报告中，85%包含射血分数数值，9%包含范围，其余6%包含定性描述。总体而言，18%的提取数值LVEF ≤ 40%。此外，对339份报告的样本进行人工验证，准确率为1.0。我们的研究表明，基于正则表达式的方法可以准确地从超声心动图中提取LVEF，并且对于描绘射血分数降低的心力衰竭患者是有用的。
Left ventricular ejection fraction (LVEF) is an important prognostic indicator of cardiovascular outcomes. It is used clinically to determine the indication for several therapeutic interventions. LVEF is most commonly derived using in-line tools and some manual assessment by cardiologists from standardized echocardiographic views. LVEF is typically documented in free-text reports, and variation in LVEF documentation pose a challenge for the extraction and utilization of LVEF in computer-based clinical workflows. To address this problem, we developed a computerized algorithm to extract LVEF from echocardiography reports for the identification of patients having heart failure with reduced ejection fraction (HFrEF) for therapeutic intervention at a large healthcare system. We processed echocardiogram reports for 57,158 patients with coded diagnosis of Heart Failure that visited the healthcare system over a two-year period. Our algorithm identified a total of 3910 patients with reduced ejection fraction. Of the 46,634 echocardiography reports processed, 97% included a mention of LVEF. Of these reports, 85% contained numerical ejection fraction values, 9% contained ranges, and the remaining 6% contained qualitative descriptions. Overall, 18% of extracted numerical LVEFs were ≤ 40%. Furthermore, manual validation for a sample of 339 reports yielded an accuracy of 1.0. Our study demonstrates that a regular expression-based approach can accurately extract LVEF from echocardiograms, and is useful for delineating heart-failure patients with reduced ejection fraction.
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影响因子：
3.7
作者：
Liao KP;Ananthakrishnan AN;Kumar V;Xia Z;Cagan A;Gainer VS;Goryachev S;Chen P;Savova GK;Agniel D;Churchill S;Lee J;Murphy SN;Plenge RM;Szolovits P;Kohane I;Shaw SY;Karlson EW;Cai T
通讯作者：
Cai T
影响因子：
2.8
作者：
Sweitzer, Nancy K.;Lopatin, Margarita;Stevenson, Lynne W.
通讯作者：
Stevenson, Lynne W.
影响因子：
37.8
作者：
Yancy, Clyde W.;Jessup, Mariell;Westlake, Cheryl
通讯作者：
Westlake, Cheryl
影响因子：
4.5
作者：
Kim, Youngjun;Garvin, Jennifer. H.;Meystre, Stephane M.
通讯作者：
Meystre, Stephane M.
DOI：
10.1161/circheartfailure.111.966366
发表时间：
2012-11
期刊：
Circulation. Heart failure
影响因子：
--
作者：
Dunlay SM;Roger VL;Weston SA;Jiang R;Redfield MM
通讯作者：
Redfield MM