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开发一种新的胸外科医生学会成人先天性死亡率风险模型。

Development of a Novel Society of Thoracic Surgeons Adult Congenital Mortality Risk Model.

机构信息

Department of Cardiovascular Services, Nemours Children's Health, Orlando, Florida; Department of Surgery, University of Central Florida College of Medicine, Orlando, Florida.

Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.

出版信息

Ann Thorac Surg. 2023 Aug;116(2):331-338. doi: 10.1016/j.athoracsur.2023.01.015. Epub 2023 Jan 22.

Abstract

BACKGROUND

Operative mortality risk models for adults with congenital heart disease (ACHD) undergoing cardiac operations are essential, given the growing population of these patients, yet they are currently unavailable. Existing adult Society of Thoracic Surgeons (STS) models exclude congenital procedures, whereas existing congenital models exclude operations for acquired disease. We aimed to develop an STS mortality risk model for ACHD patients undergoing cardiac operations.

METHODS

Leveraging a comprehensive list of diagnostic and procedure codes, ACHD patients who underwent cardiac operations were identified from the STS Adult Cardiac Surgery Database (versions: v2.73, v2.81, and v2.9) between 2011 and 2019. The model was developed and validated in the ACHD population using a 60/40 development/validation split. Univariate analyses and clinical expertise informed the addition of ACHD-relevant procedure and diagnosis variables to existing STS adult risk model variables. Model performance was assessed overall and in 38 subgroups based on patient demographics, procedures, and diagnoses.

RESULTS

Forty-seven procedure and diagnosis variables relevant to ACHD were added to existing STS adult risk model variables. The derived ACHD model for operative mortality was well calibrated within demographic, procedural, and diagnosis subgroups and the overall ACHD population, and discrimination in the validation cohort was excellent (C statistic, 0.815) compared with the model using only existing STS adult risk model variables (C statistic, 0.79; P < .0001).

CONCLUSIONS

A novel, high-performing STS ACHD mortality risk model has been developed on the basis of contemporary patient data. The ACHD risk model represents an important expansion of the STS portfolio. Implementation with an online risk calculator is planned.

摘要

背景

考虑到此类患者人群的不断增长,对于接受心脏手术的成人先天性心脏病(ACHD)患者,制定手术死亡率风险模型至关重要,但目前尚无此类模型。现有的成人胸外科医师学会(STS)模型排除了先天性手术,而现有的先天性模型则排除了后天性疾病的手术。我们旨在为接受心脏手术的 ACHD 患者制定 STS 死亡率风险模型。

方法

利用全面的诊断和手术代码列表,我们从 STS 成人心脏手术数据库(版本:v2.73、v2.81 和 v2.9)中确定了 2011 年至 2019 年间接受心脏手术的 ACHD 患者。我们使用 60/40 的开发/验证分割在 ACHD 人群中开发和验证模型。单变量分析和临床专业知识为向现有的 STS 成人风险模型变量中添加与 ACHD 相关的手术和诊断变量提供了依据。我们总体上评估了模型性能,并根据患者人口统计学、手术和诊断进行了 38 个亚组评估。

结果

我们向现有的 STS 成人风险模型变量中添加了 47 个与 ACHD 相关的手术和诊断变量。在亚组分析中,包括人口统计学、手术和诊断在内的所有分组中,衍生的 ACHD 手术死亡率模型均具有良好的校准度,并且在验证队列中的区分度也非常出色(C 统计量为 0.815),优于仅使用现有的 STS 成人风险模型变量的模型(C 统计量为 0.79;P<0.0001)。

结论

我们基于当代患者数据制定了一种新颖的、性能出色的 STS ACHD 死亡率风险模型。该 ACHD 风险模型代表了 STS 产品组合的重要扩展。计划与在线风险计算器一起实施。

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