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在一个大型全国队列中,利用人工智能增强对类癌性心脏病当代手术、死亡率和成本趋势的分析,重点关注“被遗忘的肺动脉瓣”。

Artificial intelligence-augmented analysis of contemporary procedural, mortality, and cost trends in carcinoid heart disease in a large national cohort with a focus on the "forgotten pulmonic valve".

作者信息

Monlezun Dominique J, Badalamenti Andrew, Javaid Awad, Marmagkiolis Kostas, Honan Kevin, Kim Jin Wan, Patel Rishi, Akhanti Bindu, Halperin Dan, Dasari Arvind, Koutroumpakis Efstratios, Kim Peter, Lopez-Mattei Juan, Yusuf Syed Wamique, Cilingiroglu Mehmet, Mamas Mamas A, Gregoric Igor, Yao James, Hassan Saamir, Iliescu Cezar

机构信息

Department of Cardiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States.

Center for Artificial Intelligence and Health Equities, Global System Analytics and Structures (GSAS), New Orleans, LA, United States.

出版信息

Front Cardiovasc Med. 2023 Feb 8;9:1071138. doi: 10.3389/fcvm.2022.1071138. eCollection 2022.

Abstract

BACKGROUND

Carcinoid heart disease is increasingly recognized and challenging to manage due to limited outcomes data. This is the largest known cohort study of valvular pathology, treatment (including pulmonary and tricuspid valve replacements [PVR and TVR]), dispairties, mortality, and cost in patients with malignant carcinoid tumor (MCT).

METHODS

Machine learning-augmented propensity score-adjusted multivariable regression was conducted for clincal outcomes in the 2016-2018 U.S. National Inpatient Sample (NIS). Regression models were weighted by the complex survey design and adjusted for known confounders and the likelihood of undergoing valvular procedures.

RESULTS

Among 101,521,656 hospitalizations, 55,910 (0.06%) had MCT. Patients with MCT vs. those without had significantly higher inpatient mortality (2.93 vs. 2.04%, = 0.002), longer mean length of stay (12.20 vs. 4.62, < 0.001), and increased mean total cost of stay ($70,252.18 vs. 51,092.01, < 0.001). There was a stewise increased rate of TVR and PVR with each subsequent year, with significantly more TV (0.16% vs. 0.01, < 0.001) and PV (0.03 vs. 0.00, = 0.040) diagnosed with vs. without MCT for 2016, with comparable trends in 2017 and 2018. There were no significant procedural disparities among patients with MCT for sex, race, income, urban density, or geographic region, except in 2017, when the highest prevalence of PV procedures were performed in the Western North at 50.00% ( = 0.034). In machine learning and propensity score augmented multivariable regression, MCT did not significantly increase the likelihood of TVR or PVR. In sub-group analysis restricted to MCT, neither TVR nor PVR significantly increased mortality, though it did increase cost (respectively, $141,082.30, = 0.015; $355,356.40, = 0.012).

CONCLUSION

This analysis reflects a favorable trend in recognizing the need for TVR and PVR in patients with MCT, with associated increased cost but not mortality. Our study also suggests that pulmonic valve pathology is increasingly recognized in MCT as reflected by the upward trend in PVRs. Further research and updated societal guidelines may need to focus on the "forgotten pulmonic valve" to improve outcomes and disparities in this understudied patient population.

摘要

背景

由于结局数据有限,类癌性心脏病越来越受到关注且管理具有挑战性。这是已知的关于恶性类癌肿瘤(MCT)患者瓣膜病理、治疗(包括肺动脉瓣和三尖瓣置换术[PVR和TVR])、差异、死亡率和成本的最大队列研究。

方法

对2016 - 2018年美国国家住院样本(NIS)中的临床结局进行机器学习增强的倾向评分调整多变量回归分析。回归模型根据复杂的调查设计进行加权,并针对已知的混杂因素以及接受瓣膜手术的可能性进行调整。

结果

在101,521,656例住院病例中,55,910例(0.06%)患有MCT。与未患MCT的患者相比,MCT患者的住院死亡率显著更高(2.93%对2.04%,P = 0.002),平均住院时间更长(12.20天对4.62天,P < 0.001),平均住院总费用增加(70,252.18美元对51,092.01美元,P < 0.001)。随后每年TVR和PVR的发生率呈逐步上升趋势,2016年诊断为MCT的患者中TV(0.16%对0.01%,P < 0.001)和PV(0.03对0.00,P = 0.040)明显多于未患MCT的患者,2017年和2018年趋势相似。MCT患者在性别、种族、收入、城市密度或地理区域方面没有显著的手术差异,除了2017年,当时西北部西部地区PV手术的患病率最高,为50.00%(P = 0.034)。在机器学习和倾向评分增强的多变量回归中,MCT并没有显著增加TVR或PVR的可能性。在仅限于MCT的亚组分析中,TVR和PVR均未显著增加死亡率,但确实增加了成本(分别为141,082.30美元,P = 0.015;355,356.40美元,P = 0.012)。

结论

该分析反映了在认识到MCT患者需要TVR和PVR方面的良好趋势,虽然成本增加但死亡率未增加。我们的研究还表明,如PVR上升趋势所示,MCT中肺动脉瓣病变越来越受到关注。进一步的研究和更新的社会指南可能需要关注“被遗忘的肺动脉瓣”,以改善这一研究不足患者群体的结局和差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4019/9945326/8380b28c4622/fcvm-09-1071138-g0001.jpg

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