External phenome analysis enables a rational federated query strategy to detect changing rates of treatment-related complications associated with multiple myeloma.
External phenome analysis enables a rational federated query strategy to detect changing rates of treatment-related complications associated with multiple myeloma.
复制标题
外部表组分析使合理的联合查询策略能够检测与多发性骨髓瘤相关的治疗相关并发症的变化率。
DOI:
10.1136/amiajnl-2012-001355
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发表时间:
2013
期刊:
影响因子:
--
通讯作者:
Joyce,RobinM
中科院分区:
文献类型:
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作者:
Warner,JeremyL;Alterovitz,Gil;Bodio,Kelly;Joyce,RobinM
Electronic health records (EHRs) are increasingly useful for health services research. For relatively uncommon conditions, such as multiple myeloma (MM) and its treatment-related complications, a combination of multiple EHR sources is essential for such research. The Shared Health Research Information Network (SHRINE) enables queries for aggregate results across participating institutions. Development of a rational search strategy in SHRINE may be augmented through analysis of pre-existing databases. We developed a SHRINE query for likely non-infectious treatment-related complications of MM, based upon an analysis of the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC II) database. Using this query strategy, we found that the rate of likely treatment-related complications significantly increased from 2001 to 2007, by an average of 6% a year (p=0.01), across the participating SHRINE institutions. This finding is in keeping with increasingly aggressive strategies in the treatment of MM. This proof of concept demonstrates that a staged approach to federated queries, using external EHR data, can yield potentially clinically meaningful results.