Literature DB >> 33632769

Repeatability and sensitivity to change of non-invasive end points in PAH: the RESPIRE study.

Andrew J Swift1, Frederick Wilson2, Marcella Cogliano3, Lindsay Kendall2, Faisal Alandejani3, Samer Alabed3, Paul Hughes3, Yousef Shahin3, Laura Saunders3, Charlotte Oram3, David Capener3, Alex Rothman3, Pankaj Garg3, Christopher Johns3, Matthew Austin3, Alistair Macdonald3, Jo Pickworth3, Peter Hickey3, Robin Condliffe4, Anthony Cahn2,5, Allan Lawrie3, Jim M Wild3, David G Kiely3,4.   

Abstract

End points that are repeatable and sensitive to change are important in pulmonary arterial hypertension (PAH) for clinical practice and trials of new therapies. In 42 patients with PAH, test-retest repeatability was assessed using the intraclass correlation coefficient and treatment effect size using Cohen's d statistic. Intraclass correlation coefficients demonstrated excellent repeatability for MRI, 6 min walk test and log to base 10 N-terminal pro-brain natriuretic peptide (log10NT-proBNP). The treatment effect size for MRI-derived right ventricular ejection fraction was large (Cohen's d 0.81), whereas the effect size for the 6 min walk test (Cohen's d 0.22) and log10NT-proBNP (Cohen's d 0.20) were fair. This study supports further evaluation of MRI as a non-invasive end point for clinical assessment and PAH therapy trials.Trial registration number NCT03841344. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  imaging/CT MRI etc; primary pulmonary hypertension

Mesh:

Substances:

Year:  2021        PMID: 33632769      PMCID: PMC8461450          DOI: 10.1136/thoraxjnl-2020-216078

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.139


Introduction

Pulmonary arterial hypertension (PAH) is progressive, leading to right ventricular (RV) failure and death.1 Accurate measurement of RV function is important for assessment of disease severity and prognosis.2–4 Despite new therapies and improvements in survival,5 PAH remains a life-shortening condition. MRI is the gold standard for RV assessment,6 has prognostic value2 and predicts clinical worsening7 in PAH. A trial end point that is highly repeatable, is sensitive to treatment and predicts outcomes would be highly desirable.8 9 MRI has been proposed as a trial end point in PAH,8 9 however, there is limited data on repeatability and treatment effect size.

Methods

Patients

Patients with PAH who were treatment-naïve commencing therapy, prevalent undergoing escalation of therapy and clinically stable requiring no escalation of therapy, were recruited. See online supplemental file S1.

Study investigations

Investigations performed at visit 1 included N-terminal pro-brain natriuretic peptide (NT-ProBNP), 6 min walk test (6MWT) and MRI. Follow-up visits 2 and 3 occurred approximately 6 months after study visit 1. Visits 2 and 3 occurred within 24 hours of each other (online supplemental figure S2).

MRI acquisition and analysis

All MRI examinations were performed on either a 1.5 T GE HDx (GE Healthcare, Milwaukee, USA) whole body scanner using an 8-channel cardiac coil or a 3 T Philips Ingenia (Best, The Netherlands) whole body scanner using a 32-channel dStream torso coil (online supplemental file S1). Analysis of MRI was undertaken blinded to the patient’s data. RV parameters and pulmonary arterial flow were analysed on Qmass MEDIS suite (V.3.0.18.0, Medical Imaging Systems, The Netherlands) on short axis and phase contrast images, respectively. Regions of interest were drawn on the pulmonary artery and left atrium of the dynamic contrast-enhanced perfusion images to calculate first pass pulmonary transit time and full width at half maximum using in-house software (see online supplemental figure S3).

Six min walk test and NT-ProBNP

The 6MWT was performed by a respiratory physiologist. NT-ProBNP analysis was performed on patient plasma samples using the Luminex 100/200 multiplex analyser using the cardiovascular marker kit (HCVD1MAG-67K Millipore) at the end of the study.

Statistical analysis

Repeatability was determined by the intraclass correlation coefficient (ICC) using a two-way mixed absolute agreement model with the average measure recorded. An ICC of ≥0.75 was considered excellent, 0.60–0.74 good, 0.40–0.59 fair and <0.40 poor. Mean difference and 95% CIs were presented where appropriate. Cohen’s d (calculated with the averaged SD, dav) was used to assess the standardised treatment effect size between visit 1 and visit 2.10 A Cohen’s d value of <0.20 was considered no change, 0.20–0.49 was considered fair change, 0.50–0.79 was considered a medium change and ≥0.80 was considered a large change. All analysis was performed on SPSS V.22 and GraphPad Prism V.16.

Results

Of 42 patients who completed the study, 16 were incident and treatment-naïve and initiated PAH therapy, 12 were prevalent and underwent an escalation of therapy and 14 were stable on therapy with no change in treatment occurring between the study visits.(online supplemental table S5).

Test–test repeatability (visits 2 and 3)

In patients with PAH, test–test repeatability was assessed between visits 2 and 3; 6MWT (ICC 0.987) and log10NT-ProBNP (ICC 0.772) had excellent repeatability. Of cardiac MRI metrics (table 1), all showed excellent repeatability. Data for MRI pulmonary flow and perfusion transit times are shown in table 1.
Table 1

Repeatability in all patients with PAH (ICC), and treatment effect size for patients with PAH initiating or escalating PAH therapy

All PAHPatients with PAH initiating or escalating therapy
NICCNVisit 1Visit 2Change(Visit 1–visit 2)95% CICohen’s d
MeanSDMeanSDMean differenceSDSEMLowerUpper
Walk test
6MWT distance (m)390.98724325.63156.30361.50166.29−35.8879.0616.14−69.26−2.490.22
Blood tests
Log NT-ProBNP320.772242.760.462.670.410.090.320.07−0.050.220.20
MRI metrics
SA with threshold
RVEDM (g)400.97026117.8045.7299.4043.9618.4030.906.065.9230.880.41
RVESM (g)400.98026106.6839.7394.6142.0812.0626.795.251.2422.880.29
RVEDV (mL)400.96926145.7139.12146.0355.87−0.3229.135.71−12.0811.450.01
RVESV (mL)400.9832693.9334.6681.2841.4012.6522.024.323.7621.550.33
RVEF (%)400.8832636.5611.4845.6911.12−9.1210.452.05−13.35−4.900.81
RVSV (mL)400.8642651.7817.3064.7523.92−12.9723.274.56−22.37−3.570.62
RVCO (L/min)400.886263.951.454.481.55−0.531.540.30−1.150.090.35
Systolic septal angle (o)400.85227163.3316.45156.8114.006.5211.282.172.0610.980.43
Diastolic septal angle (o)400.89727153.1114.73145.4810.447.6310.151.953.6111.650.60
Q flow
Net flow volume (mL)410.8932658.0530.1869.4931.30−11.4434.836.83−25.512.620.37
Forward flow volume (mL)410.8602660.3727.5872.3329.15−11.9631.976.27−24.880.950.42
Backward flow volume (mL)410.817262.326.762.845.74−0.525.851.15−2.881.850.08
Regurgitant fraction (%)410.731266.2819.585.4211.520.8718.773.68−6.718.450.05
Average flow velocity (cm/s)410.909267.313.608.253.69−0.943.690.72−2.430.550.26
Peak flow velocity (cm/s)410.5822652.9716.3767.6822.71−14.7119.353.79−22.53−6.900.74
Diastolic vessel area (mm2)410.93326981.10257.92961.84242.9619.26104.5220.5−22.9661.480.08
Systolic vessel area (mm2)410.953261077.57279.961083.62266.78−6.05101.0819.82−46.8834.770.02
Pulmonary arterial pulsatility (%)410.776269.964.8713.005.12−3.043.620.71−4.50−1.580.61
DCE imaging
Pulmonary transit time (s)360.728216.761.816.121.880.641.600.35−0.091.370.35
FWHM (s)320.906187.893.146.202.401.682.190.520.602.770.60

Data are shown for all patients with PAH initiating or escalating PAH therapy.

DCE, dynamic contrast-enhanced imaging; FWHM, full width at half maximum; ICC, intraclass correlation coefficient; Log10NT-ProBNP, log to base 10 N-terminal pro-brain natriuretic peptide; 6MWT, six min walk test; PAH, pulmonary arterial hypertension; RVCO, right ventricular cardiac output; RVEDM, right ventricle end-diastolic mass; RVEDV, right ventricle end-systolic volume; RVEF, right ventricle end-systolic volume; RVESM, right ventricle end-systolic mass; RVSV, right ventricle stroke volume; SA, short axis.

Repeatability in all patients with PAH (ICC), and treatment effect size for patients with PAH initiating or escalating PAH therapy Data are shown for all patients with PAH initiating or escalating PAH therapy. DCE, dynamic contrast-enhanced imaging; FWHM, full width at half maximum; ICC, intraclass correlation coefficient; Log10NT-ProBNP, log to base 10 N-terminal pro-brain natriuretic peptide; 6MWT, six min walk test; PAH, pulmonary arterial hypertension; RVCO, right ventricular cardiac output; RVEDM, right ventricle end-diastolic mass; RVEDV, right ventricle end-systolic volume; RVEF, right ventricle end-systolic volume; RVESM, right ventricle end-systolic mass; RVSV, right ventricle stroke volume; SA, short axis.

Treatment effect size (visits 1 and 2)

For all patients, initiating or escalating therapy (n=28), the only measurement with a large treatment effect size was RV ejection fraction (Cohen’s d 0.81). The 6MWT (Cohen’s d 0.22) and NT-ProBNP (Cohen’s d 0.20) demonstrated a fair treatment effect size (table 1). Figure 1 shows Cohen’s d values for the top three MRI end points, the 6MWT and NT-proBNP. Figure 2 shows ICC versus Cohen’s d value for all end points. In patients initiating PAH therapy, RV ejection fraction (Cohen’s d 0.99), diastolic septal angle (Cohen’s d 0.88) and peak pulmonary arterial flow velocity (Cohen’s d 0.92) had a large treatment effect size. In patients escalating therapy, RV ejection fraction, RV stroke volume and pulmonary arterial pulsatility had a medium effect size, whereas NT-ProBNP (Cohen’s d 0.02) and 6MWT (Cohen’s d 0.07) demonstrated no treatment effect (see online supplemental figure S4). The stable patient group showed either no or fair changes across all measured parameters (online supplemental table S6).
Figure 1

Comparison of treatment effect size using Cohen’s d results in patients initiating and/or escalating pulmonary arterial hypertension (PAH) therapy. 6MWT, 6 min walk test; Log10NT-ProBNP, log to base 10 N-terminal pro-brain natriuretic peptide; RV, right ventricular.

Figure 2

Cohen’s d versus interstudy intraclass correlation coefficient (ICC) for study measurements. DCE, dynamic contrast-enhanced imaging; Log10NT-ProBNP, log to base 10 N-terminal pro-brain natriuretic peptide; PAFWHM, pulmonary arterial full width at half maximum; RVEF, right ventricular ejection fraction; RVSV, right ventricle stroke volume; 6MWT 6 min walk test. ICC >0.75=excellent repeatability. Cohen’s d value of <0.20 was considered no change, 0.20–0.49 was considered fair change, 0.50–0.79 was considered a medium change and ≥0.80 was considered a large change.

Comparison of treatment effect size using Cohen’s d results in patients initiating and/or escalating pulmonary arterial hypertension (PAH) therapy. 6MWT, 6 min walk test; Log10NT-ProBNP, log to base 10 N-terminal pro-brain natriuretic peptide; RV, right ventricular. Cohen’s d versus interstudy intraclass correlation coefficient (ICC) for study measurements. DCE, dynamic contrast-enhanced imaging; Log10NT-ProBNP, log to base 10 N-terminal pro-brain natriuretic peptide; PAFWHM, pulmonary arterial full width at half maximum; RVEF, right ventricular ejection fraction; RVSV, right ventricle stroke volume; 6MWT 6 min walk test. ICC >0.75=excellent repeatability. Cohen’s d value of <0.20 was considered no change, 0.20–0.49 was considered fair change, 0.50–0.79 was considered a medium change and ≥0.80 was considered a large change.

Discussion

Investigations used to monitor disease severity in patients with PAH, namely 6MWT distance, NT-ProBNP level and MRI metrics, had excellent repeatability. In contrast, only MRI (RVEF) demonstrated a large treatment effect size in patients initiating or escalating therapies, whereas for the 6MWT and NT-ProBNP the treatment effect sizes were fair. As observed in previous clinical trials1 and highlighted at the 6th World Symposium,9 all metrics evaluated in patients with PAH escalating therapy had a lower treatment effect size compared with treatment-naïve patients initiating therapy. This represents a challenge when studying the effects of new therapies in PAH where the standard of care is combination treatment.1 Importantly, MRI was still able to detect a medium treatment effect size in patients receiving background PAH therapy. Due to the large cost of conducting PAH therapy trials, strategies to reduce the size of studies and their duration using a surrogate end point that is repeatable and has a large treatment effect size would be highly desirable.9 This study has a number of limitations including the small sample size and the lack of comparison with invasively measured pulmonary haemodynamics. Nonetheless, we have demonstrated in this exploratory study that MRI, the gold standard for RV function assessment, detects a larger treatment effect than the 6MWT or NT-proBNP. This may reflect the ceiling effect of the 6MWT and the effect of comorbidities (including chronic kidney disease) that may influence 6MWT distance and NT-proBNP levels. MRI metrics predict clinical worsening7 and mortality2–4 fulfilling many of the criteria of a surrogate end point.9 Given that pulmonary haemodynamics are commonly used in early phase PAH studies,1 a direct comparison of MRI metrics and pulmonary haemodynamics, to detect longitudinal change following PAH therapy, is now required if MRI imaging is to be considered a primary end-point for PAH therapy trials.8 9 This study demonstrates the high repeatability of MRI metrics in PAH and the large treatment effect size support further evaluation of MRI as a non-invasive endpoint in PAH therapy trials.
  10 in total

1.  ASPIRE registry: assessing the Spectrum of Pulmonary hypertension Identified at a REferral centre.

Authors:  J Hurdman; R Condliffe; C A Elliot; C Davies; C Hill; J M Wild; D Capener; P Sephton; N Hamilton; I J Armstrong; C Billings; A Lawrie; I Sabroe; M Akil; L O'Toole; D G Kiely
Journal:  Eur Respir J       Date:  2011-09-01       Impact factor: 16.671

2.  Progressive right ventricular dysfunction in patients with pulmonary arterial hypertension responding to therapy.

Authors:  Mariëlle C van de Veerdonk; Taco Kind; J Tim Marcus; Gert-Jan Mauritz; Martijn W Heymans; Harm-Jan Bogaard; Anco Boonstra; Koen M J Marques; Nico Westerhof; Anton Vonk-Noordegraaf
Journal:  J Am Coll Cardiol       Date:  2011-12-06       Impact factor: 24.094

3.  2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: The Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT).

Authors:  Nazzareno Galiè; Marc Humbert; Jean-Luc Vachiery; Simon Gibbs; Irene Lang; Adam Torbicki; Gérald Simonneau; Andrew Peacock; Anton Vonk Noordegraaf; Maurice Beghetti; Ardeschir Ghofrani; Miguel Angel Gomez Sanchez; Georg Hansmann; Walter Klepetko; Patrizio Lancellotti; Marco Matucci; Theresa McDonagh; Luc A Pierard; Pedro T Trindade; Maurizio Zompatori; Marius Hoeper
Journal:  Eur Heart J       Date:  2015-08-29       Impact factor: 29.983

4.  Interstudy reproducibility of right ventricular volumes, function, and mass with cardiovascular magnetic resonance.

Authors:  Frank Grothues; James C Moon; Nicholas G Bellenger; Gillian S Smith; Helmut U Klein; Dudley J Pennell
Journal:  Am Heart J       Date:  2004-02       Impact factor: 4.749

5.  Magnetic Resonance Imaging in the Prognostic Evaluation of Patients with Pulmonary Arterial Hypertension.

Authors:  Andrew J Swift; Dave Capener; Chris Johns; Neil Hamilton; Alex Rothman; Charlie Elliot; Robin Condliffe; Athanasios Charalampopoulos; Smitha Rajaram; Allan Lawrie; Michael J Campbell; Jim M Wild; David G Kiely
Journal:  Am J Respir Crit Care Med       Date:  2017-07-15       Impact factor: 21.405

6.  Clinical trial design and new therapies for pulmonary arterial hypertension.

Authors:  Olivier Sitbon; Mardi Gomberg-Maitland; John Granton; Michael I Lewis; Stephen C Mathai; Maurizio Rainisio; Norman L Stockbridge; Martin R Wilkins; Roham T Zamanian; Lewis J Rubin
Journal:  Eur Respir J       Date:  2019-01-24       Impact factor: 16.671

7.  EXPRESS: Statement on imaging and pulmonary hypertension from the Pulmonary Vascular Research Institute (PVRI).

Authors:  David G Kiely; David Levin; Paul Hassoun; David D Ivy; Pei-Ni Jone; Jumaa Bwika; Steven M Kawut; Jim Lordan; Angela Lungu; Jeremy Mazurek; Shahin Moledina; Horst Olschewski; Andrew Peacock; Goverdhan Dutt Puri; Farbod Rahaghi; Michal Schafer; Mark Schiebler; Nicholas Screaton; Merryn Tawhai; Edwin Jr Van Beek; Anton Vonk-Noordegraaf; Rebecca R Vanderpool; John Wort; Lan Zhao; Jim Wild; Jens Vogel-Claussen; Andrew J Swift
Journal:  Pulm Circ       Date:  2019-03-18       Impact factor: 3.017

8.  Identification of Cardiac Magnetic Resonance Imaging Thresholds for Risk Stratification in Pulmonary Arterial Hypertension.

Authors:  Robert A Lewis; Christopher S Johns; Marcella Cogliano; David Capener; Euan Tubman; Charlie A Elliot; Athanasios Charalampopoulos; Ian Sabroe; A A Roger Thompson; Catherine G Billings; Neil Hamilton; Kathleen Baster; Peter J Laud; Peter M Hickey; Jennifer Middleton; Iain J Armstrong; Judith A Hurdman; Allan Lawrie; Alexander M K Rothman; Jim M Wild; Robin Condliffe; Andrew J Swift; David G Kiely
Journal:  Am J Respir Crit Care Med       Date:  2020-02-15       Impact factor: 21.405

Review 9.  Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs.

Authors:  Daniël Lakens
Journal:  Front Psychol       Date:  2013-11-26

10.  Cardiac-MRI Predicts Clinical Worsening and Mortality in Pulmonary Arterial Hypertension: A Systematic Review and Meta-Analysis.

Authors:  Samer Alabed; Yousef Shahin; Pankaj Garg; Faisal Alandejani; Christopher S Johns; Robert A Lewis; Robin Condliffe; James M Wild; David G Kiely; Andrew J Swift
Journal:  JACC Cardiovasc Imaging       Date:  2020-09-30
  10 in total
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Journal:  Radiology       Date:  2022-06-14       Impact factor: 29.146

2.  Imaging and Risk Stratification in Pulmonary Arterial Hypertension: Time to Include Right Ventricular Assessment.

Authors:  Faisal Alandejani; Abdul Hameed; Euan Tubman; Samer Alabed; Yousef Shahin; Robert A Lewis; Krit Dwivedi; Aqeeb Mahmood; Jennifer Middleton; Lisa Watson; Dheyaa Alkhanfar; Christopher S Johns; Smitha Rajaram; Pankaj Garg; Robin Condliffe; Charlie A Elliot; A A Roger Thompson; Alexander M K Rothman; Athanasios Charalampopoulos; Allan Lawrie; Jim M Wild; Andrew J Swift; David G Kiely
Journal:  Front Cardiovasc Med       Date:  2022-03-25

3.  Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements.

Authors:  Rob Van Der Geest; Andrew J Swift; Faisal Alandejani; Samer Alabed; Pankaj Garg; Ze Ming Goh; Kavita Karunasaagarar; Michael Sharkey; Mahan Salehi; Ziad Aldabbagh; Krit Dwivedi; Michail Mamalakis; Pete Metherall; Johanna Uthoff; Chris Johns; Alexander Rothman; Robin Condliffe; Abdul Hameed; Athanasios Charalampoplous; Haiping Lu; Sven Plein; John P Greenwood; Allan Lawrie; Jim M Wild; Patrick J H de Koning; David G Kiely
Journal:  J Cardiovasc Magn Reson       Date:  2022-04-07       Impact factor: 6.903

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