Suppr超能文献

利用儿科健康信息系统研究罕见先天性儿科外科疾病:食管闭锁患者队列的发展。

Using the Pediatric Health Information System to study rare congenital pediatric surgical diseases: development of a cohort of esophageal atresia patients.

机构信息

Department of Surgery, Nationwide Children's Hospital, Columbus, OH, USA; Center for Surgical Outcomes Research and the Center for Innovation in Pediatric Practice, The Research Institute at Nationwide Children's Hospital, Columbus OH, USA.

出版信息

J Pediatr Surg. 2013 Sep;48(9):1850-5. doi: 10.1016/j.jpedsurg.2013.02.062.

Abstract

BACKGROUND/PURPOSE: Administrative databases include large multi-institutional cohorts of patients with rare congenital anomalies that can potentially be used to characterize these diseases and study variations in practice and outcomes. The purpose of this study was to develop a methodology to accurately identify a cohort of patients with a rare disease (esophageal atresia and tracheoesophageal fistula, EA/TEF) in the Pediatric Health Information System (PHIS) database.

METHODS

Patients with EA/TEF treated from 2001 to 2010 were identified by chart review at two institutions and then located within the PHIS database to find ICD-9-CM coding patterns unique to EA/TEF. Subsequently, a step-wise search strategy for PHIS was developed to identify patients with EA/TEF: this included searching the ICD-9-CM diagnosis code for congenital EA/TEF; adding the ICD-9-CM code for acquired TEF; limiting age to ≤ 30 days; and adding at least one of a number of specified ICD-9-CM procedure codes. The PHIS search results were subsequently validated by chart review at each institution.

RESULTS

The institutional chart reviews identified 207 patients with EA/TEF. The most refined PHIS search strategy identified 221 patients. The positive predictive value of the search increased incrementally from 65% with using only the correct ICD-9 code to 96% with the full methodology. A cohort of 2977 patients with EA/TEF is identified when this search strategy is applied to the entire PHIS database.

CONCLUSION

Administrative databases such as PHIS can be utilized to identify cohorts of patients with rare congenital anomalies; however, cohort development requires a systematic search strategy and validation process to ensure correct identification of patients.

摘要

背景/目的:行政数据库包含大量多机构的罕见先天性畸形患者队列,这些数据库可用于对这些疾病进行特征描述,并研究实践和结果的差异。本研究的目的是开发一种方法,以准确识别儿科健康信息系统(PHIS)数据库中罕见疾病(食管闭锁和气管食管瘘,EA/TEF)患者的队列。

方法

通过在两家机构进行病历审查,确定了 2001 年至 2010 年期间接受 EA/TEF 治疗的患者,并在 PHIS 数据库中查找 EA/TEF 特有的 ICD-9-CM 编码模式。随后,为 PHIS 开发了逐步搜索策略,以识别 EA/TEF 患者:包括搜索先天性 EA/TEF 的 ICD-9-CM 诊断代码;添加后天性 TEF 的 ICD-9-CM 代码;将年龄限制在≤30 天;并添加许多指定的 ICD-9-CM 手术代码之一。然后,通过在每家机构进行病历审查来验证 PHIS 搜索结果。

结果

机构病历审查确定了 207 例 EA/TEF 患者。最精细的 PHIS 搜索策略确定了 221 例患者。随着仅使用正确的 ICD-9 代码的搜索的阳性预测值从 65%逐渐增加到使用完整方法的 96%,搜索的阳性预测值逐渐增加。当将此搜索策略应用于整个 PHIS 数据库时,确定了一个包含 2977 例 EA/TEF 患者的队列。

结论

行政数据库(如 PHIS)可用于识别罕见先天性畸形患者的队列;然而,队列开发需要系统的搜索策略和验证过程,以确保正确识别患者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验