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

Overview of attention for article published in BMC Cardiovascular Disorders, August 2017
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Title
Models for improved diagnosis of left ventricular hypertrophy based on conventional electrocardiographic criteria
Published in
BMC Cardiovascular Disorders, August 2017
DOI 10.1186/s12872-017-0637-8
Pubmed ID
Authors

Nan Lu, Jin-Xiu Zhu, Pei-Xuan Yang, Xue-Rui Tan

Abstract

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. 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. The diagnostic accuracy of ECG11 (S V2 + R V5,6) and ECG12 (S V1,2 + R V5,6) 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/m(2) was 46.2%,higher than for females (27.5%), for ≧60 years old (35.7%), and for BMI ≧25 kg/m(2)(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. Two models developed based on gender can be considered for use to investigate the preliminary assessment of the probability of LVH.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 13%
Student > Doctoral Student 2 9%
Other 2 9%
Researcher 2 9%
Student > Master 2 9%
Other 4 17%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 8 35%
Nursing and Health Professions 2 9%
Agricultural and Biological Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Earth and Planetary Sciences 1 4%
Other 1 4%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2017.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Cardiovascular Disorders
#1,437
of 1,726 outputs
Outputs of similar age
#280,178
of 319,590 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#42
of 48 outputs
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So far Altmetric has tracked 1,726 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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