Strickland Matthew J, Riehle-Colarusso Tiffany J, Jacobs Jeffrey P, Reller Mark D, Mahle William T, Botto Lorenzo D, Tolbert Paige E, Jacobs Marshall L, Lacour-Gayet Francois G, Tchervenkov Christo I, Mavroudis Constantine, Correa Adolfo
National Center on Birth Defects and Developmental Disabilities, US Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
Cardiol Young. 2008 Dec;18 Suppl 2(0 2):92-100. doi: 10.1017/S1047951108002515.
Administrative databases are often used for congenital cardiac disease research and evaluation, with little validation of the accuracy of the diagnostic codes.
Metropolitan Atlanta Congenital Defects Program surveillance records were reviewed and classified using a version of the International Pediatric and Congenital Cardiac Code. Using this clinical nomenclature as the referent, we report the sensitivity and false positive fraction (1 - positive predictive value) of the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes for tetralogy of Fallot, transposition of the great arteries, and hypoplastic left heart syndrome.
We identified 4918 infants and foetuses with congenital cardiac disease from the surveillance records. Using only the International Classification of Diseases diagnosis codes, there were 280 records with tetralogy, 317 records with transposition, and 192 records with hypoplastic left heart syndrome. Based on the International Pediatric and Congenital Cardiac Code, 330 records were classified as tetralogy, 163 records as transposition, and 179 records as hypoplastic left heart syndrome. The sensitivity of International Classification of Diseases diagnosis codes was 83% for tetralogy, 100% for transposition, and 95% for hypoplastic left heart syndrome. The false positive fraction was 2% for tetralogy, 49% for transposition, and 11% for hypoplastic left heart syndrome.
Analyses based on International Classification of Diseases diagnosis codes may have substantial misclassification of congenital heart disease. Isolating the major defect is difficult, and certain codes do not differentiate between variants that are clinically and developmentally different.
行政数据库常用于先天性心脏病的研究与评估,但对诊断编码准确性的验证较少。
回顾了大亚特兰大先天性缺陷项目的监测记录,并使用国际儿科和先天性心脏病编码的一个版本进行分类。以这种临床命名法作为参照,我们报告了《疾病分类第九版,临床修订本》中关于法洛四联症、大动脉转位和左心发育不全综合征诊断编码的敏感性和假阳性率(1-阳性预测值)。
我们从监测记录中识别出4918例患有先天性心脏病的婴儿和胎儿。仅使用《疾病分类》诊断编码时,有280条法洛四联症记录、317条大动脉转位记录和192条左心发育不全综合征记录。根据国际儿科和先天性心脏病编码,330条记录被分类为法洛四联症,163条记录为大动脉转位,179条记录为左心发育不全综合征。《疾病分类》诊断编码的敏感性在法洛四联症中为83%,在大动脉转位中为100%,在左心发育不全综合征中为95%。假阳性率在法洛四联症中为2%,在大动脉转位中为49%,在左心发育不全综合征中为11%。
基于《疾病分类》诊断编码的分析可能对先天性心脏病有大量错误分类。分离主要缺陷很困难,并且某些编码无法区分临床上和发育上不同的变体。