Suppr超能文献

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

The Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model: Part 2-Clinical Application.

作者信息

Jacobs Jeffrey P, O'Brien Sean M, Pasquali Sara K, Gaynor J William, Mayer John E, Karamlou Tara, Welke Karl F, Filardo Giovanni, Han Jane M, Kim Sunghee, Quintessenza James A, Pizarro Christian, Tchervenkov Christo I, Lacour-Gayet Francois, Mavroudis Constantine, Backer Carl L, Austin Erle H, Fraser Charles D, Tweddell James S, Jonas Richard A, Edwards Fred H, Grover Frederick L, Prager Richard L, Shahian David M, Jacobs Marshall L

机构信息

Johns Hopkins All Children's Heart Institute, Saint Petersburg, Tampa, and Orlando, Florida; Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; Florida Hospital for Children, Orlando, Florida.

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.

出版信息

Ann Thorac Surg. 2015 Sep;100(3):1063-8; discussion 1068-70. doi: 10.1016/j.athoracsur.2015.07.011. Epub 2015 Aug 3.

Abstract

BACKGROUND

The empirically derived 2014 Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model incorporates adjustment for procedure type and patient-specific factors. The purpose of this report is to describe this model and its application in the assessment of variation in outcomes across centers.

METHODS

All index cardiac operations in The Society of Thoracic Surgeons Congenital Heart Surgery Database (January 1, 2010, to December 31, 2013) were eligible for inclusion. Isolated patent ductus arteriosus closures in patients weighing less than or equal to 2.5 kg were excluded, as were centers with more than 10% missing data and patients with missing data for key variables. The model includes the following covariates: primary procedure, age, any prior cardiovascular operation, any noncardiac abnormality, any chromosomal abnormality or syndrome, important preoperative factors (mechanical circulatory support, shock persisting at time of operation, mechanical ventilation, renal failure requiring dialysis or renal dysfunction (or both), and neurological deficit), any other preoperative factor, prematurity (neonates and infants), and weight (neonates and infants). Variation across centers was assessed. Centers for which the 95% confidence interval for the observed-to-expected mortality ratio does not include unity are identified as lower-performing or higher-performing programs with respect to operative mortality.

RESULTS

Included were 52,224 operations from 86 centers. Overall discharge mortality was 3.7% (1,931 of 52,224). Discharge mortality by age category was neonates, 10.1% (1,129 of 11,144); infants, 3.0% (564 of 18,554), children, 0.9% (167 of 18,407), and adults, 1.7% (71 of 4,119). For all patients, 12 of 86 centers (14%) were lower-performing programs, 67 (78%) were not outliers, and 7 (8%) were higher-performing programs.

CONCLUSIONS

The 2014 Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model facilitates description of outcomes (mortality) adjusted for procedural and for patient-level factors. Identification of low-performing and high-performing programs may be useful in facilitating quality improvement efforts.

摘要

背景

通过经验得出的2014年胸外科医师协会先天性心脏病手术数据库死亡率风险模型纳入了对手术类型和患者特定因素的调整。本报告的目的是描述该模型及其在评估各中心结局差异中的应用。

方法

胸外科医师协会先天性心脏病手术数据库(2010年1月1日至2013年12月31日)中的所有首次心脏手术均符合纳入标准。体重小于或等于2.5kg患者的单纯动脉导管未闭封堵术被排除,数据缺失超过10%的中心以及关键变量数据缺失的患者也被排除。该模型包括以下协变量:主要手术、年龄、既往任何心血管手术、任何非心脏异常、任何染色体异常或综合征、重要术前因素(机械循环支持、手术时持续存在的休克、机械通气、需要透析的肾衰竭或肾功能不全(或两者兼有)以及神经功能缺损)、任何其他术前因素、早产(新生儿和婴儿)以及体重(新生儿和婴儿)。评估了各中心之间的差异。观察到的与预期死亡率之比的95%置信区间不包括1的中心被确定为手术死亡率方面表现较差或较好的项目。

结果

纳入了来自86个中心的52224例手术。总体出院死亡率为3.7%(52224例中的1931例)。按年龄分类的出院死亡率为:新生儿,10.1%(11144例中的1129例);婴儿,3.0%(18554例中的564例);儿童,0.9%(18407例中的167例);成人,1.7%(4119例中的71例)。对于所有患者,86个中心中有12个(14%)是表现较差的项目,67个(78%)不是异常值,7个(8%)是表现较好的项目。

结论

2014年胸外科医师协会先天性心脏病手术数据库死亡率风险模型有助于描述经手术和患者层面因素调整后的结局(死亡率)。识别表现较差和较好的项目可能有助于推动质量改进工作。

相似文献

1
The Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model: Part 2-Clinical Application.
Ann Thorac Surg. 2015 Sep;100(3):1063-8; discussion 1068-70. doi: 10.1016/j.athoracsur.2015.07.011. Epub 2015 Aug 3.
2
The Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model: Part 1-Statistical Methodology.
Ann Thorac Surg. 2015 Sep;100(3):1054-62. doi: 10.1016/j.athoracsur.2015.07.014. Epub 2015 Aug 3.
3
The importance of patient-specific preoperative factors: an analysis of the society of thoracic surgeons congenital heart surgery database.
Ann Thorac Surg. 2014 Nov;98(5):1653-8; discussion 1658-9. doi: 10.1016/j.athoracsur.2014.07.029. Epub 2014 Sep 26.
5
The Society of Thoracic Surgeons Congenital Heart Surgery Database Public Reporting Initiative.
Semin Thorac Cardiovasc Surg Pediatr Card Surg Annu. 2017 Jan;20:43-48. doi: 10.1053/j.pcsu.2016.09.008.
6
Mortality Trends in Pediatric and Congenital Heart Surgery: An Analysis of The Society of Thoracic Surgeons Congenital Heart Surgery Database.
Ann Thorac Surg. 2016 Oct;102(4):1345-52. doi: 10.1016/j.athoracsur.2016.01.071. Epub 2016 Aug 31.
7
Estimating Mortality Risk for Adult Congenital Heart Surgery: An Analysis of The Society of Thoracic Surgeons Congenital Heart Surgery Database.
Ann Thorac Surg. 2015 Nov;100(5):1728-35; discussion 1735-6. doi: 10.1016/j.athoracsur.2015.07.002. Epub 2015 Sep 26.
8
Variation in Case-Mix Across Hospitals: Analysis of The Society of Thoracic Surgeons Congenital Heart Surgery Database.
Ann Thorac Surg. 2023 Feb;115(2):485-492. doi: 10.1016/j.athoracsur.2022.06.053. Epub 2022 Aug 6.
9
Predictors of 90-day mortality after congenital heart surgery: the first report of risk models from a Japanese database.
J Thorac Cardiovasc Surg. 2014 Nov;148(5):2201-6. doi: 10.1016/j.jtcvs.2013.01.053. Epub 2014 Jan 15.

引用本文的文献

2
Antibiotic route and outcomes for children hospitalized with pneumonia.
J Hosp Med. 2024 Aug;19(8):693-701. doi: 10.1002/jhm.13382. Epub 2024 Apr 28.
3
Adjusting for Congenital Heart Surgery Risk Using Administrative Data.
J Am Coll Cardiol. 2023 Dec 5;82(23):2212-2221. doi: 10.1016/j.jacc.2023.09.826.
4
Perioperative Metabolites Are Associated With Adverse Neonatal Congenital Heart Disease Surgical Outcomes.
J Am Heart Assoc. 2022 Aug 16;11(16):e024996. doi: 10.1161/JAHA.121.024996. Epub 2022 Aug 10.
5
Risk Stratification for Congenital Heart Surgery for ICD-10 Administrative Data (RACHS-2).
J Am Coll Cardiol. 2022 Feb 8;79(5):465-478. doi: 10.1016/j.jacc.2021.11.036.
8
Weight impacts 1-year congenital heart surgery outcomes independent of race/ethnicity and payer.
Cardiol Young. 2021 Feb;31(2):279-285. doi: 10.1017/S1047951120003911. Epub 2020 Nov 19.
9
Why national databases are necessary for pediatric and congenital heart surgery practice?
Turk Gogus Kalp Damar Cerrahisi Derg. 2019 Jun 21;27(3):418-422. doi: 10.5606/tgkdc.dergisi.2019.17945. eCollection 2019 Jul.
10
Rationale and design of the STeroids to REduce Systemic inflammation after infant heart Surgery (STRESS) trial.
Am Heart J. 2020 Feb;220:192-202. doi: 10.1016/j.ahj.2019.11.016. Epub 2019 Dec 9.

本文引用的文献

1
The Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model: Part 1-Statistical Methodology.
Ann Thorac Surg. 2015 Sep;100(3):1054-62. doi: 10.1016/j.athoracsur.2015.07.014. Epub 2015 Aug 3.
2
The importance of patient-specific preoperative factors: an analysis of the society of thoracic surgeons congenital heart surgery database.
Ann Thorac Surg. 2014 Nov;98(5):1653-8; discussion 1658-9. doi: 10.1016/j.athoracsur.2014.07.029. Epub 2014 Sep 26.
3
Quality measures for congenital and pediatric cardiac surgery.
World J Pediatr Congenit Heart Surg. 2012 Jan 1;3(1):32-47. doi: 10.1177/2150135111426732.
4
An empirically based tool for analyzing morbidity associated with operations for congenital heart disease.
J Thorac Cardiovasc Surg. 2013 Apr;145(4):1046-1057.e1. doi: 10.1016/j.jtcvs.2012.06.029. Epub 2012 Jul 24.
5
Variation in outcomes for risk-stratified pediatric cardiac surgical operations: an analysis of the STS Congenital Heart Surgery Database.
Ann Thorac Surg. 2012 Aug;94(2):564-71; discussion 571-2. doi: 10.1016/j.athoracsur.2012.01.105. Epub 2012 Jun 15.
7
Variation in outcomes for benchmark operations: an analysis of the Society of Thoracic Surgeons Congenital Heart Surgery Database.
Ann Thorac Surg. 2011 Dec;92(6):2184-91; discussion 2191-2. doi: 10.1016/j.athoracsur.2011.06.008.
8
Public reporting of cardiac surgery performance: Part 1--history, rationale, consequences.
Ann Thorac Surg. 2011 Sep;92(3 Suppl):S2-11. doi: 10.1016/j.athoracsur.2011.06.100.
9
Public reporting of cardiac surgery performance: Part 2--implementation.
Ann Thorac Surg. 2011 Sep;92(3 Suppl):S12-23. doi: 10.1016/j.athoracsur.2011.06.101.
10
Report of the 2010 society of thoracic surgeons congenital heart surgery practice and manpower survey.
Ann Thorac Surg. 2011 Aug;92(2):762-8; discussion 768-9. doi: 10.1016/j.athoracsur.2011.03.133.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验