Abstract

Background: Infants born with congenital heart disease (CHD) typically present different clinical manifestations which make this condition hard to diagnose. Considering serious complications arising from misdiagnosis, inventing new methods and/or improving traditional diagnostic approaches has always been a research objective. Methods: In this cross-sectional analysis, which took place in Children's Medical Center in Tehran, 150 infants admitted to an intensive care unit were evaluated based on echocardiographic findings from 2015 to 2017. Echocardiography was done due to abnormalities in physical examination and/or oxygen saturation level. Results: The sensitivity of clinical study value was 82% and the negative predictive value was 20%. The sensitivity of arterial oxygen saturation immediately after admission to the neonatal intensive care was 92%, the specificity was 34%, positive predictive value was 56% and negative predictive value was 25%. Conclusion: In terms of high sensitivity, clinical symptom including tachypnea, cyanosis, arrhythmias, respiratory distress, cardiac murmur, or arterial oxygen saturation level in newborns may be useful for screening CHD. Among the clinical manifestations, cyanosis and respiratory distress are more valuable.

Highlights

  • Infants born with congenital heart disease (CHD) typically present different clinical manifestations which make this condition hard to diagnose

  • ‫ارزش تشخیصی علایم بالینی و پالساکسیمتری در تشخیص بیماریهای قلبی مادرزادی در نوزادان‬

  • ‫معرفی روشهای جدید یا بهبودبخشی روشهای مرسوم تشخيصی همواره از اهميت بسيار بالایی برخوردار بوده است‪.‬‬ ‫روشکار‪ :‬در این مطالعه مقطعی‪ -‬تحليلی که طی سالهای ‪ 6931-6931‬در مرکز طبی کودکان دانشگاه علوم پزشکی تهران انجام شد بر اساس معاینات‬ ‫فيزیکی یا وضعيت اشباع اکسيژن شریانی در هنگام بستری‪ 651 ،‬نوزاد تحت اکوکاردیوگرافی قرار گرفتند‪ .‬پس از استخراج دادهها‪ ،‬از نرمافزار آماری ‪SPSS‬‬

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Summary

Introduction

Infants born with congenital heart disease (CHD) typically present different clinical manifestations which make this condition hard to diagnose.

Results
Conclusion
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