prognostication in pulmonary arterial hypertension with submaximal exercise testing

prognostication in pulmonary arterial hypertension with submaximal exercise testing

;Vinod Khatri;Jennifer E. Neal;Charles D. Burger;Augustine S. Lee
Technology in society 2015 Vol. 3 pp. 15-23
181
khatri2015diseasesprognostication

Abstract

Introduction: The submaximal exercise test (SET), which gives both a measure of exercise tolerance, as well as disease severity, should be a more robust functional and prognostic marker than the six-minute walk test (6MWT). This study aimed to determine the prognostic value of SET as predicted by the validated REVEAL (Registry to Evaluate Early and Long-Term Pulmonary Artery Hypertension Disease Management) registry risk score (RRRS). Methods: Sixty-five consecutive patients with idiopathic and associated pulmonary arterial hypertension (PAH) underwent right-heart catheterization, echocardiogram, 6MWT and a three-minute SET (Shape-HF™). Analyses explored the association between SET variables and prognosis predicted by the RRRS. Results: Although multiple SET variables correlated with the RRRS on univariate analyses, only VE/VCO2 (r = 0.57, p < 0.0001) remained an independent predictor in multivariate analysis (β = 0.05, p = 0.0371). Additionally, the VE/VCO2 was the most discriminatory (area under receiver operating characteristic curve, 0.84) in identifying the highest-risk category (RRRS ≥ 10), with an optimal cut-off of 40.6, resulting in a high sensitivity (92%) and negative-predictive value (97%), but a lower specificity (67%). Conclusion: SETs, particularly the VE/VCO2, appear to have prognostic value when compared to the RRRS. If validated in prospective trials, SET should prove superior to the 6MWT or the RRRS, with significant implications for both future clinical trials and clinical practice.

Citation

ID: 219579
Ref Key: khatri2015diseasesprognostication
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
219579
Unique Identifier:
10.3390/diseases3010015
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet