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Improving Longitudinal Outcomes, Efficiency, and Equity in the Care of Patients With Congenital Heart Disease.改善先天性心脏病患者护理的纵向结局、效率和公平性。
J Am Coll Cardiol. 2021 Oct 26;78(17):1703-1713. doi: 10.1016/j.jacc.2021.08.040.
2
Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality.更新基于实证的先天性心脏病手术死亡率分析工具。
World J Pediatr Congenit Heart Surg. 2021 Mar;12(2):246-281. doi: 10.1177/2150135121991528.
3
Utility of administrative and clinical data for cardiac surgery research: A case-based approach to guide choice.行政和临床数据在心脏外科研究中的效用:一种基于案例的选择指导方法。
J Thorac Cardiovasc Surg. 2021 Oct;162(4):1157-1165. doi: 10.1016/j.jtcvs.2020.09.135. Epub 2020 Oct 17.
4
RACHS - ANZ : A Modified Risk Adjustment in Congenital Heart Surgery Model for Outcome Surveillance in Australia and New Zealand.RACHS-ANZ:用于澳大利亚和新西兰心脏手术结果监测的改良先天性心脏病风险调整模型。
J Am Heart Assoc. 2019 May 7;8(9):e011390. doi: 10.1161/JAHA.118.011390.
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Refining The Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model With Enhanced Risk Adjustment for Chromosomal Abnormalities, Syndromes, and Noncardiac Congenital Anatomic Abnormalities.完善胸外科协会先天性心脏病手术数据库死亡率风险模型,增强对染色体异常、综合征和非心脏先天性解剖异常的风险调整。
Ann Thorac Surg. 2019 Aug;108(2):558-566. doi: 10.1016/j.athoracsur.2019.01.069. Epub 2019 Mar 7.
6
Development of a Congenital Heart Surgery Composite Quality Metric: Part 2-Analytic Methods.先天性心脏病手术综合质量指标的制定:第 2 部分-分析方法。
Ann Thorac Surg. 2019 Feb;107(2):590-596. doi: 10.1016/j.athoracsur.2018.07.036. Epub 2018 Sep 15.
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Development of a Congenital Heart Surgery Composite Quality Metric: Part 1-Conceptual Framework.先天性心脏病外科学复合质量指标的制定:第 1 部分——概念框架。
Ann Thorac Surg. 2019 Feb;107(2):583-589. doi: 10.1016/j.athoracsur.2018.07.037. Epub 2018 Sep 15.
8
Databases for Congenital Heart Defect Public Health Studies Across the Lifespan.全生命周期先天性心脏病公共卫生研究数据库。
J Am Heart Assoc. 2016 Oct 26;5(11):e004148. doi: 10.1161/JAHA.116.004148.
9
Development and Validation of an Agency for Healthcare Research and Quality Indicator for Mortality After Congenital Heart Surgery Harmonized With Risk Adjustment for Congenital Heart Surgery (RACHS-1) Methodology.与先天性心脏病手术风险调整(RACHS-1)方法协调一致的先天性心脏病手术后死亡率的医疗保健研究与质量机构指标的开发与验证。
J Am Heart Assoc. 2016 May 20;5(5):e003028. doi: 10.1161/JAHA.115.003028.
10
The Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model: Part 2-Clinical Application.胸外科医师协会先天性心脏病手术数据库死亡风险模型:第2部分 - 临床应用
Ann Thorac Surg. 2015 Sep;100(3):1063-8; discussion 1068-70. doi: 10.1016/j.athoracsur.2015.07.011. Epub 2015 Aug 3.

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.

DOI:10.1016/j.jacc.2021.11.036
PMID:35115103
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8962919/
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。