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未分类的多发性(“综合征性”)无耳/小耳病例中相关成分异常的分布情况

Distribution of associated component abnormalities in cases with unclassified multiple ("syndromic") anota/microtia.

作者信息

Paput László, Bánhidy Ferenc, Czeizel Andrew E

机构信息

Department of Oto-Rhino-Laryngologic and Head/Neck Surgical Department, National Center for Healthcare Audit and Improvement, Budapest, Hungary.

出版信息

Int J Pediatr Otorhinolaryngol. 2011 May;75(5):639-47. doi: 10.1016/j.ijporl.2011.01.041. Epub 2011 Feb 26.

Abstract

OBJECTIVE

To evaluate cases with unclassified multiple congenital abnormalities (CAs) including anotia/microtia (UMAM) in order to reveal the characteristic pattern of associated other component CAs and to attempt the so-called "registry diagnosis" on the pattern of associated CAs and to stimulate the establishment of an international registry of cases with UMAM.

METHOD

The large population-based dataset of the Hungarian Congenital Abnormality Registry, 1980-1996, but component CAs of UMAM were based on medical records.

RESULTS

Finally 156 cases with UMAM were analyzed according to the number of 2-9 component CAs. There was a higher rate of bilateral anotia/microtia and anotia in UMAM cases parallel with the number of component CAs. Of 156 cases, 48 (30.8%) had registry diagnosis. The distribution of most component CAs is not random in UMAM cases, however, most CA-syndromes including anotia/microtia have not been delineated.

CONCLUSIONS

The evaluation of available dataset of cases with UMAM may help the identification of recognizable CA-syndromes and the delineation of new syndromes/associations with better prognosis and recurrence risk estimation, in addition to a better chance for their prevention.

摘要

目的

评估患有未分类多重先天性异常(CAs)包括无耳/小耳(UMAM)的病例,以揭示相关其他组成部分先天性异常的特征模式,并尝试根据相关先天性异常的模式进行所谓的“登记诊断”,并推动建立国际UMAM病例登记处。

方法

基于匈牙利先天性异常登记处1980 - 1996年的大规模人群数据集,但UMAM的组成部分先天性异常基于病历。

结果

最终根据2 - 9个组成部分先天性异常的数量对156例UMAM病例进行了分析。UMAM病例中双侧无耳/小耳和无耳的发生率与组成部分先天性异常的数量呈平行关系。在156例病例中,48例(30.8%)有登记诊断。在UMAM病例中,大多数组成部分先天性异常的分布并非随机,但包括无耳/小耳在内的大多数先天性异常综合征尚未明确。

结论

对UMAM病例现有数据集的评估可能有助于识别可识别的先天性异常综合征,明确新的综合征/关联,更好地估计预后和复发风险,此外还有更好的预防机会。

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