Dataset Information

Models for improved diagnosis of left ventricular hypertrophy based on conventional electrocardiographic criteria.

ABSTRACT:

Background

Electrocardiogram (ECG) is commonly used clinically due to convenience, but its accuracy is insufficient for left ventricular hypertrophy (LVH) diagnosis. In this study, we attempted to improve diagnostic accuracy of LVH by establishing models with ECG parameters.

Methods

Eighty hundred and twenty eight patients were recruited in the present study which were divided into groups according to gender, age and body mass index (BMI). The sensitivity, specificity, Youden index, positive predictive value, negative predictive value and accuracy were calculated using ultrasonic cardiogram criteria of LVH as the gold standard. Area under the curve was also calculated to assess the diagnostic accuracy of 22 conventional ECG criteria in different groups. Stepwise discriminant analyses were performed to establish models of ECG for LVH.

Results

The diagnostic accuracy of ECG11 (S V₂ + R V_5,6) and ECG12 (S V_1,2 + R V_5,6) was significantly higher than the other 20 criteria, while ECG15 (R V₅/R V₆) was lowest. The ECG12 sensitivity for males was 52.5%, for <60 years old was 44.2%, and for BMI <25 kg/m² was 46.2%,higher than for females (27.5%), for ?60 years old (35.7%), and for BMI ?25 kg/m²(27.6%), respectively. The difference between genders was the most obvious. Based on these observations, the following models for males and females were established:[Formula: see text]and[Formula: see text]respectively. The sensitivities of the two new models were 71.4% and 75.8%, significantly higher than the22 conventional ECG criteria.

Conclusion

Two models developed based on gender can be considered for use to investigate the preliminary assessment of the probability of LVH.

SUBMITTER: Lu N

PROVIDER: S-EPMC5549337 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Publications

Models for improved diagnosis of left ventricular hypertrophy based on conventional electrocardiographic criteria.

Lu Nan N Zhu Jin-Xiu JX Yang Pei-Xuan PX Tan Xue-Rui XR

BMC cardiovascular disorders 20170808 1

<h4>Background</h4>Electrocardiogram (ECG) is commonly used clinically due to convenience, but its accuracy is insufficient for left ventricular hypertrophy (LVH) diagnosis. In this study, we attempted to improve diagnostic accuracy of LVH by establishing models with ECG parameters.<h4>Methods</h4>Eighty hundred and twenty eight patients were recruited in the present study which were divided into groups according to gender, age and body mass index (BMI). The sensitivity, specificity, Youden inde ...[more]

PMID: 28789616

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Project description:BackgroundThe Peguero-Lo Presti criteria are novel electrocardiographic (ECG) diagnostic criteria for the detection of left ventricular hypertrophy (LVH) and represent the sum of the amplitude of the deepest S wave in any lead with the S wave in lead V4 (SD+SV4). The diagnostic efficacy of the Peguero-Lo Presti criteria in LVH is still debatable. We aimed to test the sensitivity and specificity of the Peguero-Lo Presti criteria and compared them with those of the Cornell voltage index to assess their overall performance in LVH diagnosis.MethodsElectronic databases (e.g., Medline, Web of Knowledge, Embase, and the Cochrane Library) were searched from their inception until May 18, 2020. Trials written in English that investigated the Peguero-Lo Presti criteria for detecting LVH were included. Data were independently extracted and analyzed by two investigators.ResultsA total of 51 records were screened, and 6 trials comprising 13,564 patients were finally included. A bivariate analysis showed that the sensitivity of the Peguero-Lo Presti criteria (0.52, 95% confidence interval (CI) 0.46-0.58) was higher than that of the Cornell voltage index (0.29, 95% CI 0.23-0.36) and Sokolow-Lyon criteria (0.24, 95% CI 0.21-0.27); the diagnostic accuracy of the Peguero-Lo Presti criteria (0.69, 95% CI 0.65-0.73) was also higher than that of the Cornell voltage index (0.67, 95% CI 0.62-0.71) and Sokolow-Lyon criteria (0.28, 95% CI 0.25-0.32); and the specificity of the Peguero-Lo Presti criteria (0.85, 95% CI 0.79-0.90) was similar to that of the Cornell voltage index (0.92, 95% CI 0.89-0.95) and Sokolow-Lyon criteria (0.94, 95%CI 0.88-0.97). Two trials (including 12,748 patients) were discharged because they included partly healthy subjects and accounted for substantial heterogeneity. Pooled analysis of the remaining 4 trials (including 816 patients) showed that the sensitivity of the Peguero-Lo Presti criteria (0.56, 95% CI 0.51-0.61) was also higher than that of the Cornell voltage index (0.36, 95% CI 0.31-0.42) and Sokolow-Lyon criteria (0.24, 95% CI 0.18-0.31); the diagnostic accuracy of the Peguero-Lo Presti criteria (0.84, 95% CI 0.80-0.87) was also higher than that of the Cornell voltage index (0.54, 95% CI 0.50-0.58) and Sokolow-Lyon criteria (0.38, 95% CI 0.34-0.42); and the specificity of the Peguero-Lo Presti criteria (0.90, 95% CI 0.87-0.92) was similar to that of the Cornell voltage index (0.93, 95% CI 0.88-0.96) and Sokolow-Lyon criteria (0.97, 95% CI 0.90-0.99). Both the likelihood ratio and posttest probability of the Peguero-Lo Presti criteria and Cornell voltage index were moderate.ConclusionBased on this systematic review and meta-analysis, the Peguero-Lo Presti criteria-based ECG diagnostic method for LVH has high sensitivity, specificity and diagnostic accuracy and should be applied in clinical practice settings.

Project description:BackgroundLeft ventricular hypertrophy (LVH) strongly predicts cardiovascular diseases (CVD) and death. One-fourth of Thai adults suffer from hypertension. Nevertheless, the information on LVH among Thai patients with hypertension is not well characterized. We aimed to identify the prevalence and factors associated with electrocardiographic LVH (ECG-LVH) among patients with hypertension in Thailand.MethodsThe present study obtained the dataset from the Thailand Diabetes Mellitus/Hypertension study, which included hypertension patients aged 20 years and older receiving continuous care at outpatient clinics in hospitals nationwide in 2011-2015 and 2018. Meanwhile, those without a record of 12-lead electrocardiography (ECG) were excluded from the analysis. ECG-LVH was defined as the LVH noted regarding ECG interpretation in the medical records. Multivariable logistic regression analysis was utilized for determining factors associated with ECG-LVH and presented as the adjusted odds ratio (AOR) and 95% confidence interval (CI).ResultsFrom 226,420 hypertensive patients in the Thailand Diabetes Mellitus/Hypertension study, 38,807 individuals (17.1%) with ECG data recorded were included in the analysis. The mean age was 64.8 ± 11.5 years, and 62.2% were women. Overall, 1,557 study participants had ECG-LVH, with an estimated prevalence of 4.0% (95% CI, 3.8-4.2%). Age-adjusted ECG-LVH prevalence among women and men was 3.4 and 5.1%, respectively (P < 0.001). Multivariable analysis determined factors associated with ECG-LVH, including being men (AOR, 1.49; 95% CI, 1.31-1.69), individuals aged 70 to 79 years (AOR, 1.56; 95% CI, 1.20-2.02) and ≥ 80 years (AOR, 2.10; 95% CI, 1.58-2.78) compared to individuals aged less than 50 years, current smokers (AOR, 1.26; 95% CI, 1.09-1.46) compared to those who never smoked, systolic blood pressure ≥ 140 mmHg and diastolic blood pressure ≥ 90 mmHg (AOR, 1.58; 95% CI, 1.30-1.92) compared to systolic blood pressure < 140 mmHg and diastolic blood pressure < 90 mmHg.ConclusionsThe current study illustrated the prevalence of ECG-LVH among Thai patients with hypertension who had ECG recorded and identified high-risk groups who tended to have ECG-LVH. The findings underscore the need for targeted interventions, particularly among high-risk groups such as older individuals, men, and current smokers, to address modifiable factors associated with ECG-LVH.

Dataset Information

Models for improved diagnosis of left ventricular hypertrophy based on conventional electrocardiographic criteria.

Background

Methods

Results

Conclusion

Publications

Models for improved diagnosis of left ventricular hypertrophy based on conventional electrocardiographic criteria.

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