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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”

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 pat...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945326/
https://www.ncbi.nlm.nih.gov/pubmed/36843627
http://dx.doi.org/10.3389/fcvm.2022.1071138
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author 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
author_facet 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
author_sort Monlezun, Dominique J.
collection PubMed
description 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%, p = 0.002), longer mean length of stay (12.20 vs. 4.62, p < 0.001), and increased mean total cost of stay ($70,252.18 vs. 51,092.01, p < 0.001). There was a step-wise increased rate of TVR and PVR with each subsequent year, with significantly more TV (0.16% vs. 0.01, p < 0.001) and PV (0.03 vs. 0.00, p = 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% (p = 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, p = 0.015; $355,356.40, p = 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.
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spelling pubmed-99453262023-02-23 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” 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 Front Cardiovasc Med Cardiovascular Medicine 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%, p = 0.002), longer mean length of stay (12.20 vs. 4.62, p < 0.001), and increased mean total cost of stay ($70,252.18 vs. 51,092.01, p < 0.001). There was a step-wise increased rate of TVR and PVR with each subsequent year, with significantly more TV (0.16% vs. 0.01, p < 0.001) and PV (0.03 vs. 0.00, p = 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% (p = 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, p = 0.015; $355,356.40, p = 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. Frontiers Media S.A. 2023-02-08 /pmc/articles/PMC9945326/ /pubmed/36843627 http://dx.doi.org/10.3389/fcvm.2022.1071138 Text en Copyright © 2023 Monlezun, Badalamenti, Javaid, Marmagkiolis, Honan, Kim, Patel, Akhanti, Halperin, Dasari, Koutroumpakis, Kim, Lopez-Mattei, Yusuf, Cilingiroglu, Mamas, Gregoric, Yao, Hassan and Iliescu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
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
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”
title 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”
title_full 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”
title_fullStr 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”
title_full_unstemmed 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”
title_short 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”
title_sort 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”
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945326/
https://www.ncbi.nlm.nih.gov/pubmed/36843627
http://dx.doi.org/10.3389/fcvm.2022.1071138
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