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Latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study

OBJECTIVES: To visualise the trajectories of pulmonary arterial pressure (PAP) in systemic sclerosis (SSc) and identify the clinical phenotypes for each trajectory, by applying latent trajectory modelling for PAP repeatedly estimated by echocardiography. METHODS: This was a multicentre, retrospectiv...

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Autores principales: Kida, Takashi, Matsuzaki, Keiichi, Yokota, Isao, Kawase, Nozomu, Kadoya, Masatoshi, Inoue, Hironori, Kukida, Yuji, Kaneshita, Shunya, Inoue, Takuya, Wada, Makoto, Kohno, Masataka, Fukuda, Wataru, Kawahito, Yutaka, Iwami, Taku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806097/
https://www.ncbi.nlm.nih.gov/pubmed/36581382
http://dx.doi.org/10.1136/rmdopen-2022-002673
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author Kida, Takashi
Matsuzaki, Keiichi
Yokota, Isao
Kawase, Nozomu
Kadoya, Masatoshi
Inoue, Hironori
Kukida, Yuji
Kaneshita, Shunya
Inoue, Takuya
Wada, Makoto
Kohno, Masataka
Fukuda, Wataru
Kawahito, Yutaka
Iwami, Taku
author_facet Kida, Takashi
Matsuzaki, Keiichi
Yokota, Isao
Kawase, Nozomu
Kadoya, Masatoshi
Inoue, Hironori
Kukida, Yuji
Kaneshita, Shunya
Inoue, Takuya
Wada, Makoto
Kohno, Masataka
Fukuda, Wataru
Kawahito, Yutaka
Iwami, Taku
author_sort Kida, Takashi
collection PubMed
description OBJECTIVES: To visualise the trajectories of pulmonary arterial pressure (PAP) in systemic sclerosis (SSc) and identify the clinical phenotypes for each trajectory, by applying latent trajectory modelling for PAP repeatedly estimated by echocardiography. METHODS: This was a multicentre, retrospective cohort study conducted at four referral hospitals in Kyoto, Japan. Patients with SSc who were treated at study sites between 2008 and 2021 and who had at least three echocardiographic measurements of systolic PAP (sPAP) were included. A group-based trajectory model was applied to the change in sPAP over time, and patients were classified into distinct subgroups that followed similar trajectories. Pulmonary hypertension (PH)-free survival was compared for each trajectory. Multinomial logistic regression analysis was performed for baseline clinical characteristics associated with trajectory assignment. RESULTS: A total of 236 patients with 1097 sPAP measurements were included. We identified five trajectories: rapid progression (n=9, 3.8%), early elevation (n=30, 12.7%), middle elevation (n=54, 22.9%), late elevation (n=24, 10.2%) and low stable (n=119, 50.4%). The trajectories, in the listed order, showed progressively earlier elevation of sPAP and shorter PH-free survival. In the multinomial logistic regression analysis with the low stable as a reference, cardiac involvement was associated with rapid progression, diffuse cutaneous SSc was associated with early elevation and anti-centromere antibody was associated with middle elevation; older age of onset was associated with all three of these trajectories. CONCLUSION: The pattern of changes in PAP over time in SSc can be classified into five trajectories with distinctly different clinical characteristics and outcomes.
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spelling pubmed-98060972023-01-03 Latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study Kida, Takashi Matsuzaki, Keiichi Yokota, Isao Kawase, Nozomu Kadoya, Masatoshi Inoue, Hironori Kukida, Yuji Kaneshita, Shunya Inoue, Takuya Wada, Makoto Kohno, Masataka Fukuda, Wataru Kawahito, Yutaka Iwami, Taku RMD Open Systemic Sclerosis OBJECTIVES: To visualise the trajectories of pulmonary arterial pressure (PAP) in systemic sclerosis (SSc) and identify the clinical phenotypes for each trajectory, by applying latent trajectory modelling for PAP repeatedly estimated by echocardiography. METHODS: This was a multicentre, retrospective cohort study conducted at four referral hospitals in Kyoto, Japan. Patients with SSc who were treated at study sites between 2008 and 2021 and who had at least three echocardiographic measurements of systolic PAP (sPAP) were included. A group-based trajectory model was applied to the change in sPAP over time, and patients were classified into distinct subgroups that followed similar trajectories. Pulmonary hypertension (PH)-free survival was compared for each trajectory. Multinomial logistic regression analysis was performed for baseline clinical characteristics associated with trajectory assignment. RESULTS: A total of 236 patients with 1097 sPAP measurements were included. We identified five trajectories: rapid progression (n=9, 3.8%), early elevation (n=30, 12.7%), middle elevation (n=54, 22.9%), late elevation (n=24, 10.2%) and low stable (n=119, 50.4%). The trajectories, in the listed order, showed progressively earlier elevation of sPAP and shorter PH-free survival. In the multinomial logistic regression analysis with the low stable as a reference, cardiac involvement was associated with rapid progression, diffuse cutaneous SSc was associated with early elevation and anti-centromere antibody was associated with middle elevation; older age of onset was associated with all three of these trajectories. CONCLUSION: The pattern of changes in PAP over time in SSc can be classified into five trajectories with distinctly different clinical characteristics and outcomes. BMJ Publishing Group 2022-12-29 /pmc/articles/PMC9806097/ /pubmed/36581382 http://dx.doi.org/10.1136/rmdopen-2022-002673 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Systemic Sclerosis
Kida, Takashi
Matsuzaki, Keiichi
Yokota, Isao
Kawase, Nozomu
Kadoya, Masatoshi
Inoue, Hironori
Kukida, Yuji
Kaneshita, Shunya
Inoue, Takuya
Wada, Makoto
Kohno, Masataka
Fukuda, Wataru
Kawahito, Yutaka
Iwami, Taku
Latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study
title Latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study
title_full Latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study
title_fullStr Latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study
title_full_unstemmed Latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study
title_short Latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study
title_sort latent trajectory modelling of pulmonary artery pressure in systemic sclerosis: a retrospective cohort study
topic Systemic Sclerosis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806097/
https://www.ncbi.nlm.nih.gov/pubmed/36581382
http://dx.doi.org/10.1136/rmdopen-2022-002673
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