Aylsworth Arthur S, Allori Alexander C, Pimenta Luiz A, Marcus Jeffrey R, Harmsen Katherine G, Watkins Stephanie E, Ramsey Barry L, Strauss Ronald P, Meyer Robert E
University of North Carolina at Chapel Hill (UNC-CH), Departments of Pediatrics and Genetics, Chapel Hill, North Carolina.
Duke Children's Hospital and Health Center, Division of Plastic, Maxillofacial, & Oral Surgery, Durham, North Carolina.
Birth Defects Res A Clin Mol Teratol. 2015 Nov;103(11):899-903. doi: 10.1002/bdra.23415. Epub 2015 Aug 6.
Epidemiologic studies involving birth defects are extremely sensitive to phenotype accuracy and precision. We devised a case review and classification protocol for a project to study school achievement in children with idiopathic, nonsyndromic orofacial clefts to improve the reliability of phenotypic classification from the statewide birth defects registry.
Surveillance-program abstraction data and medical records at the birth or treating hospitals were used when available. Exclusion criteria included: median cleft lip; Tessier cleft; premaxillary agenesis; presence of a recognizable syndrome, phenotype, association, or sequence (other than Robin sequence); clefts with other malformations not considered to be normal or common variants in the newborn; and cases with documented or suspected genetic or teratogenic causes.
Of 712 children identified with orofacial clefts, 153 were excluded, leaving 559 nonsyndromic orofacial cleft cases of unknown cause in the final study. These cases were grouped into the following clinically meaningful types: cleft lip with or without cleft alveolus; cleft lip and cleft palate; and cleft palate only. This review and classification process resulted in the elimination of 21.5% of the original cohort of identified cases, with most exclusions being due to suspected syndromic associations.
Verbatim descriptions of the clinical findings are critical for accurate classification of diagnoses. This review process improved the precision of orofacial cleft phenotype classification for our study. Precision would have been further improved if all of the cases had verbatim descriptions of diagnoses and all medical records could have been reviewed by the classification team.
涉及出生缺陷的流行病学研究对表型的准确性和精确性极为敏感。我们为一个研究特发性、非综合征性口腔颌面部裂隙患儿学业成就的项目设计了病例回顾与分类方案,以提高来自全州出生缺陷登记处的表型分类的可靠性。
如有可用信息,使用监测项目摘要数据以及出生医院或治疗医院的病历。排除标准包括:正中唇裂;泰西埃裂;上颌前部发育不全;存在可识别的综合征、表型、关联或序列(罗宾序列除外);伴有其他在新生儿中不被视为正常或常见变异的畸形的腭裂;以及有记录或疑似遗传或致畸原因的病例。
在712例被确定患有口腔颌面部裂隙的儿童中,153例被排除,最终研究中留下559例病因不明的非综合征性口腔颌面部裂隙病例。这些病例被分为以下具有临床意义的类型:唇裂伴或不伴牙槽突裂;唇裂和腭裂;以及仅腭裂。这一回顾与分类过程导致最初确定病例队列中的21.5%被排除,大多数排除是由于疑似综合征关联。
临床发现的逐字描述对于准确的诊断分类至关重要。这一回顾过程提高了我们研究中口腔颌面部裂隙表型分类的精确性。如果所有病例都有诊断的逐字描述且分类团队能够查阅所有病历,精确性将会进一步提高。