| Electrocardiograph and chest X-ray in prediction of left ventricular systolic dysfunction. | |
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MedLine Citation:
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PMID: 21105556 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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INTRODUCTION: Echocardiography is the definitive diagnostic tool for left ventricular systolic dysfunction. But it's expensive and requires trained manpower and thus might not be available in the primary care set up. ECG and Chest X ray, the more basic investigations, may help diagnose LVSD or at least streamline those who absolutely require echocardiography in primary care setup. METHODS: ECG, Chest X ray and Echocardiography along with clinical assessment were performed on 35 patients with some form of complaints related to heart. The inferences on systolic function obtained from ECG, Chest X ray were compared with Echocardiography findings. RESULTS: Out of 35 participants, 25 had left ventricular ejection fraction less than 45%, 28 had abnormal ECG, 30 had cardiomegaly in chest X-ray. A set of pre-selected ECG abnormalities had a sensitivity of 100% (83.4-100), specificity of 70% (35.4-91.9) and a positive predictive value of 89.3% (70.6-97.2) in diagnosing LVSD. Likewise, the figures were 92% (72.5-98.6), 30% (8.1-64.6) and 76.7% (57.3-89.4) respectively for a cardio-thoracic ratio of more than 0.5 in chest X-ray. CONCLUSIONS: Although, ECG and Chest X ray could not replace Echocardiography, they could very well give an idea of the systolic function of an individual and suggest the need or no need for an echo-study in primary care setup. |
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Authors:
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B K Basnet; K Manandhar; R Shrestha; S Shrestha; M Thapa |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: JNMA; journal of the Nepal Medical Association Volume: 48 ISSN: 0028-2715 ISO Abbreviation: JNMA J Nepal Med Assoc Publication Date: 2009 Oct-Dec |
Date Detail:
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Created Date: 2010-11-25 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0045233 Medline TA: JNMA J Nepal Med Assoc Country: Nepal |
Other Details:
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Languages: eng Pagination: 310-3 Citation Subset: IM |
Affiliation:
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Department of Medicine, Bir Hospital, NAMS, Kathmandu. bkb_dr@yahoo.com |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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