AI Article Synopsis

  • * A study analyzed data from 174 CF patients with severe lung impairment (FEV ≤ 40%), finding that lower peak work rate (W) and peak oxygen uptake were significant predictors of death/LTX.
  • * The research revealed that patients with a peak work rate of 49.2% or lower had a much higher risk (45.2%) of death/LTX compared to those above that threshold (10.9%), indicating that W could be crucial for deciding on transplant referrals.

Article Abstract

Cardiopulmonary exercise testing (CPET) provides prognostic information in cystic fibrosis (CF); however, its prognostic value for patients with advanced CF lung disease is unknown. To determine the prognostic value of CPET on the risk of death or lung transplant (LTX) within 2 years. We retrospectively collected data from 20 CF centers in Asia, Australia, Europe, and North America on patients with a forced expiratory volume in 1 second (FEV) ⩽ 40% predicted who performed a cycle ergometer CPET between January 2008 and December 2017. Time to death/LTX was analyzed using mixed Cox proportional hazards regression. Conditional inference trees were modeled to identify subgroups with increased risk of death/LTX. In total, 174 patients (FEV, 30.9% ± 5.8% predicted) were included. Forty-four patients (25.5%) died or underwent LTX. Cox regression analysis adjusted for age, sex, and FEV revealed percentage predicted peak oxygen uptake ([Formula: see text]o) and peak work rate (W) as significant predictors of death/LTX: adjusted hazard ratios per each additional 10% predicted were 0.60 (95% confidence interval, 0.43-0.90;  = 0.008) and 0.60 (0.48-0.82;  < 0.001). Tree-structured regression models, including a set of 11 prognostic factors for survival, identified W to be most strongly associated with 2-year risk of death/LTX. Probability of death/LTX was 45.2% for those with a W ⩽ 49.2% predicted versus 10.9% for those with a W > 49.2% predicted ( < 0.001). CPET provides prognostic information in advanced CF lung disease, and W appears to be a promising marker for LTX referral and candidate selection.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10913772PMC
http://dx.doi.org/10.1513/AnnalsATS.202304-317OCDOI Listing

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