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先天性心脏病手术的 ICD-10 行政数据风险分层(RACHS-2)。

Risk Stratification for Congenital Heart Surgery for ICD-10 Administrative Data (RACHS-2).

机构信息

Columbia University Mailman School of Public Health, New York, New York, USA.

Division of Cardiac Surgery, Cincinnati Children's Hospital, Cincinnati, Ohio, USA.

出版信息

J Am Coll Cardiol. 2022 Feb 8;79(5):465-478. doi: 10.1016/j.jacc.2021.11.036.

Abstract

BACKGROUND

As the cardiac community strives to improve outcomes, accurate methods of risk stratification are imperative. Since adoption of International Classification of Disease-10th Revision (ICD-10) in 2015, there is no published method for congenital heart surgery risk stratification for administrative data.

OBJECTIVES

This study sought to develop an empirically derived, publicly available Risk Stratification for Congenital Heart Surgery (RACHS-2) tool for ICD-10 administrative data.

METHODS

The RACHS-2 stratification system was iteratively and empirically refined in a training dataset of Pediatric Health Information Systems claims to optimize sensitivity and specificity compared with corresponding locally held Society of Thoracic Surgeons-Congenital Heart Surgery (STS-CHS) clinical registry data. The tool was validated in a second administrative data source: New York State Medicaid claims. Logistic regression was used to compare the ability of RACHS-2 in administrative data to predict operative mortality vs STAT Mortality Categories in registry data.

RESULTS

The RACHS-2 system captured 99.6% of total congenital heart surgery registry cases, with 1.0% false positives. RACHS-2 predicted operative mortality in both training and validation administrative datasets similarly to STAT Mortality Categories in registry data. C-statistics for models for operative mortality in training and validation administrative datasets-adjusted for RACHS-2-were 0.76 and 0.84 (95% CI: 0.72-0.80 and 0.80-0.89); C-statistics for models for operative mortality-adjusted for STAT Mortality Categories-in corresponding clinical registry data were 0.75 and 0.84 (95% CI: 0.71-0.79 and 0.79-0.89).

CONCLUSIONS

RACHS-2 is a risk stratification system for pediatric cardiac surgery for ICD-10 administrative data, validated in 2 administrative-registry-linked datasets. Statistical code is publicly available upon request.

摘要

背景

随着心脏医学领域努力提高治疗效果,精确的风险分层方法至关重要。自 2015 年采用国际疾病分类第 10 版(ICD-10)以来,对于行政数据,尚无用于先天性心脏病手术风险分层的既定方法。

目的

本研究旨在为 ICD-10 行政数据开发一种经验衍生的、公开可用的先天性心脏病手术风险分层(RACHS-2)工具。

方法

通过对儿科健康信息系统索赔数据的训练数据集进行迭代和经验性的完善,与相应的当地胸外科医师学会-先天性心脏病外科学会(STS-CHS)临床注册数据相比,对敏感性和特异性进行优化,以实现 RACHS-2 分层系统的优化。该工具在第二个行政数据源(纽约州医疗补助索赔)中进行了验证。使用逻辑回归比较了 RACHS-2 在行政数据中预测手术死亡率的能力与注册数据中 STAT 死亡率分类的能力。

结果

RACHS-2 系统捕获了 99.6%的先天性心脏病手术注册病例,假阳性率为 1.0%。RACHS-2 在训练和验证行政数据集预测手术死亡率的能力与注册数据中的 STAT 死亡率分类相似。在训练和验证行政数据集模型中,校正 RACHS-2 后手术死亡率的 C 统计量分别为 0.76 和 0.84(95%CI:0.72-0.80 和 0.80-0.89);在相应的临床注册数据中,校正 STAT 死亡率分类后手术死亡率模型的 C 统计量分别为 0.75 和 0.84(95%CI:0.71-0.79 和 0.79-0.89)。

结论

RACHS-2 是一种用于 ICD-10 行政数据的儿科心脏手术风险分层系统,在 2 个行政登记-注册关联数据集中进行了验证。统计代码可应要求公开提供。

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