Kersten Daniel J, D'Angelo Kyla, Vargas Juana, Verma Gagan, Malik Uzma, Shavolian Schlomo, Zeltser Roman, Hai Ofek, Makaryus Amgad N
Department of Cardiology, Nassau University Medical Center East Meadow, NY, USA.
New York Institute of Technology College of Osteopathic Medicine Old Westbury, NY, USA.
Am J Cardiovasc Dis. 2021 Jun 15;11(3):375-381. eCollection 2021.
Computerized electrocardiogram (EKG) interpretation technology was developed in the mid-20th century, but its use continues to be controversial. This study aims to determine clinical factors which indicate greater odds of clinical significance of an abnormal computerized EKG interpretation.
The inclusion criteria for this retrospective study were patients who underwent outpatient echocardiography for the indication of an abnormal EKG and had an EKG abnormality diagnosed by the computerized EKG system. Qualifying patients had the results of their computerized EKG, echocardiogram, and charted patient characteristics collected. Computerized diagnoses and patient characteristics were assessed to determine if they were associated with increasing or decreasing the odds of an echocardiographic abnormality via logistic regression. Chi-square and t-test analyses were used for categorical and continuous variables, respectively. Odds ratios are presented as odds ratio [95% confidence interval]. A -value of ≤ 0.05 was considered statistically significant.
A total of 515 patients were included in this study. The population was 59% women with an average age of 57 ± 16 years, and a mean BMI of 30.1 ± 7.3 kg/m. Patients with echocardiographic abnormalities tended to have more cardiac risk factors than patients without abnormalities. In our final odds ratio model consisting of both patient characteristics and EKG diagnoses, age, coronary disease (CAD), and diabetes mellitus (DM) increased the odds of an echocardiographic abnormality (1.04 [1.02-1.06], 2.68 [1.41-5.09], and 1.75 [1.01-3.04], respectively). That model noted low QRS voltage decreased the odds of an abnormal echocardiogram (0.31 [0.10-0.91]).
Our findings suggest that in patients with an abnormal computerized EKG reading, the specific factors of older age, CAD, and DM are associated with higher odds of abnormalities on follow-up echocardiography. These results, plus practitioner overreading, can be used to determine more appropriate management when faced with an abnormal computerized EKG diagnosis.
计算机化心电图(EKG)解读技术于20世纪中叶开发,但它的使用仍存在争议。本研究旨在确定表明计算机化EKG异常解读具有更大临床意义可能性的临床因素。
这项回顾性研究的纳入标准是因EKG异常而接受门诊超声心动图检查且计算机化EKG系统诊断为EKG异常的患者。符合条件的患者收集了其计算机化EKG、超声心动图结果以及记录的患者特征。通过逻辑回归评估计算机化诊断和患者特征,以确定它们是否与超声心动图异常可能性的增加或降低相关。卡方检验和t检验分析分别用于分类变量和连续变量。比值比以比值比[95%置信区间]表示。P值≤0.05被认为具有统计学意义。
本研究共纳入515例患者。该人群中女性占59%,平均年龄为57±16岁,平均体重指数为30.1±7.3kg/m²。与无异常的患者相比,有超声心动图异常的患者往往有更多的心脏危险因素。在我们最终的由患者特征和EKG诊断组成的比值比模型中,年龄、冠心病(CAD)和糖尿病(DM)增加了超声心动图异常的可能性(分别为1.04[1.02 - 1.06]、2.68[1.41 - 5.09]和1.75[1.01 - 3.04])。该模型指出低QRS电压降低了超声心动图异常的可能性(0.31[0.10 - 0.91])。
我们的研究结果表明,在计算机化EKG读数异常的患者中,年龄较大、CAD和DM这些特定因素与后续超声心动图异常的可能性较高相关。这些结果,加上医生的复查,可以用于在面对计算机化EKG异常诊断时确定更合适的管理措施。