Performance of Sokolow-Lyon index in detection of echocardiographically diagnosed left ventricular hypertrophy in a normal Eastern German population - results of the CARLA study

BMC Cardiovascular Disorders

Daniel Medenwald⁵  Johannes Haerting⁵  Jan A. Kors¹  Karin H. Greiser²  Martin Russ³  Alexander Kluttig⁵  Karl Werdan⁴  Ursula Müller-Werdan⁶  Sebastian Nuding⁴  Jochen Schröder⁴ 

[1] Department of Medical Informatics, Erasmus Medical Center Rotterdam, Kamer Na-2617, Rotterdam, 3000 CA, The Netherlands;Division of Cancer Epidemiology, German Cancer Research Centre, Im Neuenheimer Feld 581, Heidelberg, 69129, Germany;Department of Cardiology and Pneumology, Helios Amper Kliniken Dachau, Krankenhausstr.15, Dachau, 85221, Germany;Department of Medicine III, Martin-Luther-University Halle-Wittenberg, University Hospital Halle / Saale, Ernst-Grube-Str. 40, Halle/Saale, 06120, Germany;Martin-Luther-University Halle-Wittenberg, Institute of Medical Epidemiology, Biostatistics and Informatics, Magdeburger Str. 8, Halle/Saale, 06112, Germany;Clinic for Geriatric Medicine of the University Hospital RWTH Aachen, Aachen, Germany

关键词: Obesity;    Sokolow;    Sokolow-Lyon index;    ECG;    Hypertrophy;    Left ventricular hypertrophy;   

Others  :  1219563
DOI  :  10.1186/s12872-015-0066-5

 received in 2015-04-03, accepted in 2015-07-07,  发布年份 2015

【 摘 要 】

Background

Arterial hypertension is a common disease with high prevalence in the general population. Left ventricular hypertrophy (LVH) is an independent risk factor in arterial hypertension. Electrocardiographic indices like the Sokolow-Lyon index (SLI) are recommended as diagnostic screening methods for LVH.

We assessed the diagnostic performance of the SLI in a cohort of a large general population.

Methods

We used electrocardiographic and echocardiographic data from the prospective, population-based cohort study CARdio-vascular Disease, Living and Ageing in Halle (CARLA). Linear and logistic regression models were used to assess the association of SLI with LVH. To assess the impact of the body-mass-index (BMI), we performed interaction analyses.

Results

AUC of SLI to predict LVH was 55.3 %, sensitivity of the SLI was 5 %, specificity 97 %. We found a significant association of SLI after covariate-adjustment with echocardiographically detected LVH (increase of left-ventricular mass index, LVMI 7.0 g/m ²per 1 mV increase of SLI, p < 0.0001). However, this association was mainly caused by an association of SLI with the left-ventricular internal diameter (LVIDd, increase of 0.06 cm/m ²per 1 mV increase of SLI, p < 0.0001). In obese (BMI > 30 kg/m ² ) we found the strongest association with an increase of 9.2 g/m ²per 1 mV.

Conclusions

Although statistically significant, relations of SLI and echocardiographic parameters of LVH were weak and mainly driven by the increase in LVIDd, implicating a more eccentric type of LVH in the collective. The relations were strongest when obese subjects were taken into account. Our data do not favour the SLI as a diagnostic screening test to identify patients at risk for LVH, especially in non-obese subjects without eccentric LVH.

【 授权许可】

   
2015 Schröder et al.

【 图 表 】

Fig. 1.

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