国际疾病分类第 10 版编码在先天性心脏病手术基准程序中的映射算法。
A mapping algorithm for International Classification of Diseases 10th Revision codes for congenital heart surgery benchmark procedures.
机构信息
The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Columbia University Mailman School of Public Health, New York, NY.
出版信息
J Thorac Cardiovasc Surg. 2022 Jun;163(6):2232-2239. doi: 10.1016/j.jtcvs.2021.10.015. Epub 2021 Oct 21.
BACKGROUND
Administrative billing data are critical to many initiatives in congenital heart surgery. Mapping algorithms for International Classification of Disease, 10th Revision diagnosis and procedure codes to clinical registry procedure definitions will allow identification of surgical cases and account for patient and procedural factors within administrative data. Our objectives were to develop mapping logic to crosswalk International Classification of Disease, 10th Revision procedure codes to 10 Society of Thoracic Surgeons Congenital Heart Surgery Database benchmark and beta-test the algorithm.
METHODS
Patients undergoing Society of Thoracic Surgeons Congenital Heart Surgery Database benchmark procedures from 2015 to 2019 were identified and served as the gold standard. Cases were linked on direct identifiers to cases from the Pediatric Health Information System Database. Two independent teams developed International Classification of Disease, 10th Revision-based algorithms for cases capture. Algorithms were compared and iteratively refined to optimize sensitivity and specificity. Operative mortalities for cases identified in the administrative versus registry data were compared.
RESULTS
Overall sensitivity was 91% and specificity was 99% for capture of benchmark operations using International Classification of Diseases 10th Revision codes. Sensitivity was more than 90% in identifying 6 of the 10 individual benchmark procedures and more than 98% sensitive in identifying Fontan, Glenn, and arterial switch with ventricular septal defect procedures. Specificity was more than 98% for all benchmark operations. There were no statistical differences in operative mortality between cases identified in the administrative versus the registry data.
CONCLUSIONS
Novel mapping algorithm for International Classification of Disease, 10th Revision procedure codes enables identification of congenital heart benchmark procedures within administrative billing data. This crosswalk facilitates population-based congenital heart surgical research and quality assessment.
背景
行政计费数据对于先天性心脏病手术的许多计划至关重要。将国际疾病分类第 10 版诊断和程序代码映射算法转换为临床注册表程序定义，将允许识别手术病例并在行政数据中考虑患者和程序因素。我们的目标是开发映射逻辑，将国际疾病分类第 10 版程序代码与 10 个胸外科协会先天性心脏病手术数据库基准和测试算法进行交叉核对。
方法
确定了 2015 年至 2019 年接受胸外科协会先天性心脏病手术数据库基准手术的患者，并将其作为金标准。病例通过直接标识符与儿科健康信息系统数据库中的病例相关联。两个独立的团队为病例采集开发了基于国际疾病分类第 10 版的算法。比较算法并进行迭代改进，以优化敏感性和特异性。比较行政与登记数据中识别的病例的手术死亡率。
结果
使用国际疾病分类第 10 版代码捕获基准操作时，总体敏感性为 91%，特异性为 99%。在识别 10 个基准程序中的 6 个时，敏感性超过 90%，在识别 Fontan、Glenn 和动脉切换伴室间隔缺损手术时，敏感性超过 98%。所有基准操作的特异性均超过 98%。在行政与登记数据中识别的病例之间，手术死亡率无统计学差异。
结论
用于国际疾病分类第 10 版程序代码的新映射算法可在行政计费数据中识别先天性心脏病基准程序。这种交叉核对有助于基于人群的先天性心脏病手术研究和质量评估。
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