印度中部儿童先天性心脏病的患病率和模式研究

Pradeep K. Jain, M. Lazarus, A. Tiwari, V. Athwani
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引用次数: 0

摘要

先天性心脏病(CHD)的患病率因地区和研究环境的不同而不同,范围从0.8到6/ 1000不等。出现的年龄取决于冠心病的类型及其严重程度。在印度中部的部落地带,不知道冠心病的负担。本研究的主要目的是了解儿童冠心病的患病率。我们还研究了各种类型冠心病的表现模式和年龄。方法在印度中部部落带三级保健教学机构进行回顾性观察研究。包括儿童门诊(OPD)报告的0至15岁的儿童。疑似病例经超声心动图确诊冠心病。患病率以每1000名门诊患者的冠心病数计算。按照标准指南对冠心病的类型进行分类,并对不同年龄类型冠心病的表现进行了研究。结果本研究人群冠心病患病率为27.7/ 1000,与其他大多数以医院为基础的研究相比较高。大多数患者在1岁和5岁前被发现,分别为60.36%和83.26%。所有危重型冠心病病例均在婴儿期早期发现。结论本研究存在较高的冠心病负担。造成这种情况的可能原因是缺乏专门的设施,而研究期间包括第一波和第二波COVID。此外,需要大样本研究和/或全国登记/数据库来了解冠心病的确切负担。
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Prevalence and Pattern of Congenital Heart Disease in Pediatric Population—A Study from Central India
Abstract Introduction  Prevalence of congenital heart disease (CHD) is variable depending on the region and setting of study ranging from 0.8 to 6/1,000. Age of presentation depends on types of CHD and its severity. Burden of CHD is not known in this tribal belt of Central India. Main objective of this study was to find out prevalence of CHD in children. We have also studied the pattern and age of presentation of various types of CHDs. Methods  This retrospective observational study was conducted at tertiary care teaching institute in tribal belt of Central India. Children aged 0 to 15 years reported to pediatric outpatient department (OPD) were included. CHD was confirmed by echocardiography in suspected cases. Prevalence rate was calculated as number of CHDs per 1,000 OPD patients. Pattern of CHD was categorized as per standard guidelines and age-wise presentations of various types of CHD were studied. Results  The prevalence rate of CHD in our study population was 27.7/1,000, which is high when compared with most of the other hospital-based studies. Most of the patients, 60.36 and 83.26% were detected before the age of 1 year and 5 years, respectively. All critical CHD cases were detected in early infancy. Conclusion  There is a high burden of CHD seen in this study. Possible cause of this may be lack of specialized facility in this reason and study period included first and second wave of COVID. Further, large sample size studies and/or nationwide registry/database are needed to know the exact burden of CHD.
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