TY - JOUR
T1 - The Value of Hemodynamic Measurements or Cardiac MRI in the Follow-up of Patients With Idiopathic Pulmonary Arterial Hypertension
AU - van der Bruggen, Cathelijne Emma
AU - Handoko, Martin Louis
AU - Bogaard, Harm Jan
AU - Marcus, Johannes Timotheus
AU - Oosterveer, Franciscus Petrus Theodorus
AU - Meijboom, Lilian Jacoba
AU - Westerhof, Berend Eric
AU - Vonk Noordegraaf, Anton
AU - de Man, Frances S.
N1 - Funding Information: FUNDING/SUPPORT: C. E. v. d. B., H. J. B., A. V., F. S. d. M., and M. L. H. were supported by the Netherlands Cardiovascular Research Initiative: the Dutch Heart Foundation, the Dutch Federation of University Medical Centers, the Netherlands Organization for Health Research and Development, and the Royal Netherlands Academy of Sciences [CVON-2012-08 PHAEDRA, CVON-2018-29 PHAEDRA-IMPACT, CVON-2017-10 Dolphin-Genesis, and CVON-2015-10 EARLY-HFpEF]. H. J. B. and A. V. were supported by research grants from Actelion, GlaxoSmithKline, and Ferrer (Therabel). B. E. W., A. V., and F. S. d. M. were further supported by the Netherlands Organization for Scientific Research [NWO-VICI, 918.16.610; NWO-VIDI, 917.18.338]. F. S. d. M. was supported by a Dutch Heart Foundation Dekker senior postdoctoral grant [2018T059]. Publisher Copyright: © 2020 The Authors Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Background: Treatment of patients with pulmonary arterial hypertension (PAH) is conventionally based on functional plus invasive measurements obtained during right heart catheterization (RHC). Whether risk assessment during repeated measurements could also be performed on the basis of imaging parameters is unclear, as a direct comparison of strategies is lacking. Research Question: How does the predictive value of noninvasive parameters compare with that of invasive hemodynamic measurements 1 year after the diagnosis of idiopathic PAH? Study Design and Methods: One hundred and eighteen patients with idiopathic PAH who underwent RHC and cardiac MRI (CMR) were included in this study (median time between baseline evaluation and first parameter measures, 1.0 [0.8-1.2] years). Forty-four patients died or underwent lung transplantation. Forward Cox regression analyses were done to determine the best predictive functional, hemodynamic, and/or imaging model. Patients were classified as high risk if the event occurred < 5 years after diagnosis (n = 24), whereas patients without event were classified as low risk. Results: A prognostic model based on age, sex, and absolute values at follow-up of functional parameters (6-min walk distance) performed well (Akaike information criterion [AIC], 279; concordance, 0.67). Predictive models with only hemodynamic (right atrial pressure, mixed venous oxygen saturation; AIC, 322; concordance, 0.66) or imaging parameters (right ventricular ejection fraction; AIC, 331; concordance, 0.63) at 1 year of follow-up performed similarly. The predictive value improved when functional data were combined with either hemodynamic data (AIC, 268; concordance, 0.69) or imaging data (AIC, 273; concordance, 0.70). A model composed of functional, hemodynamic, and imaging data performed only marginally better (AIC, 266; concordance, 0.69). Finally, changes between baseline and 1-year follow-up were observed for multiple hemodynamic and CMR parameters; only a change in CMR parameters was of prognostic predictive value. Interpretation: At 1 year of follow-up, risk assessment based on CMR is at least equal to risk assessment based on RHC. In this study, only changes in CMR, but not hemodynamic parameters, were of prognostic predictive value during the first year of follow-up.
AB - Background: Treatment of patients with pulmonary arterial hypertension (PAH) is conventionally based on functional plus invasive measurements obtained during right heart catheterization (RHC). Whether risk assessment during repeated measurements could also be performed on the basis of imaging parameters is unclear, as a direct comparison of strategies is lacking. Research Question: How does the predictive value of noninvasive parameters compare with that of invasive hemodynamic measurements 1 year after the diagnosis of idiopathic PAH? Study Design and Methods: One hundred and eighteen patients with idiopathic PAH who underwent RHC and cardiac MRI (CMR) were included in this study (median time between baseline evaluation and first parameter measures, 1.0 [0.8-1.2] years). Forty-four patients died or underwent lung transplantation. Forward Cox regression analyses were done to determine the best predictive functional, hemodynamic, and/or imaging model. Patients were classified as high risk if the event occurred < 5 years after diagnosis (n = 24), whereas patients without event were classified as low risk. Results: A prognostic model based on age, sex, and absolute values at follow-up of functional parameters (6-min walk distance) performed well (Akaike information criterion [AIC], 279; concordance, 0.67). Predictive models with only hemodynamic (right atrial pressure, mixed venous oxygen saturation; AIC, 322; concordance, 0.66) or imaging parameters (right ventricular ejection fraction; AIC, 331; concordance, 0.63) at 1 year of follow-up performed similarly. The predictive value improved when functional data were combined with either hemodynamic data (AIC, 268; concordance, 0.69) or imaging data (AIC, 273; concordance, 0.70). A model composed of functional, hemodynamic, and imaging data performed only marginally better (AIC, 266; concordance, 0.69). Finally, changes between baseline and 1-year follow-up were observed for multiple hemodynamic and CMR parameters; only a change in CMR parameters was of prognostic predictive value. Interpretation: At 1 year of follow-up, risk assessment based on CMR is at least equal to risk assessment based on RHC. In this study, only changes in CMR, but not hemodynamic parameters, were of prognostic predictive value during the first year of follow-up.
KW - imaging
KW - pulmonary hypertension
KW - right ventricle
UR - http://www.scopus.com/inward/record.url?scp=85102235377&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.chest.2020.10.077
DO - https://doi.org/10.1016/j.chest.2020.10.077
M3 - Article
C2 - 33197401
SN - 0012-3692
VL - 159
SP - 1575
EP - 1585
JO - Chest
JF - Chest
IS - 4
ER -