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A pediatric echocardiographic Z-score nomogram for a developing country

R.K. GokhrooDepartment of Cardiology, JLN Medical College and Associated Group of Hospitals, Ajmer, Rajasthan, IndiaAvinash AnantharajDepartment of Cardiology, JLN Medical College and Associated Group of Hospitals, Ajmer, Rajasthan, IndiaDevendra BishtDepartment of Cardiology, Ace Heart and Vascular Institute, Shivalik Hospital Premises, Sector 69, Mohali, Punjab, IndiaKamal KishorDepartment of Cardiology, JLN Medical College and Associated Group of Hospitals, Ajmer, Rajasthan, IndiaNishad PlakkalDepartment of Neonatology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IndiaRajeswari AghoramDepartment of Medicine, Indira Gandhi Medical College and Research Institute, Puducherry, IndiaNivedita MondalDepartment of Neonatology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IndiaShashi K PandeyDepartment of Cardiology, JLN Medical College and Associated Group of Hospitals, Ajmer, Rajasthan, IndiaRamsagar RoyDepartment of Cardiology, JLN Medical College and Associated Group of Hospitals, Ajmer, Rajasthan, India
2016en
ABI

Аннотация

BACKGROUND: Almost all presently available pediatric echocardiography Z-score nomograms are based on Western data. They may not be a suitable reference standard for assessing the sizes of cardiac structures of children from developing countries. OBJECTIVE: This study's objective was to collect normative data of 21 commonly measured cardiovascular structures using M-mode and two-dimensional echocardiography in Indian children aged between 4 and 15 years and to derive Z-score nomograms for each. SUBJECTS AND METHODS: The study was conducted at two centers in India - Ajmer, Rajasthan, and Mohali, Punjab. We studied a community-based sample involving healthy school going children. After excluding children with cardiovascular abnormalities on the screening echocardiogram, 746 children were included in the final analysis. Echocardiographic assessment was performed using a Philips iE33 system. RESULTS AND ANALYSIS: For each parameter measured, seven models were evaluated to assess the relationship of that parameter with the body surface area and the one with the best fit was used to plot the Z-score chart for that parameter. Z score charts were thus derived. CONCLUSIONS: The Z-score nomograms derived by this study may be better alternatives to the Western nomograms for use in India and other developing countries for preprocedural decision making in the pediatric population. However, they will require validation in large-scale studies before they can become clinically applicable.

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