Pulmonary Function Trajectories in People with HIV: Analysis of the Pittsburgh HIV Lung Cohort

Ioannis Konstantinidis, Shulin Qin, Meghan Fitzpatrick, Cathy Kessinger, Heather Gentry, Deborah McMahon, R. Dawn Weinman, Phyllis Tien, Laurence Huang, Meredith McCormack, Igor Barjaktarevic, Divya Reddy, Robert Foronjy, Deepa Lazarous, Mardge H. Cohen, Heather McKay, Adaora A. Adimora, Caitlin Moran, Margaret A. Fischl, Jodie Dionne-OdomValentina Stosor, M. Bradley Drummond, Sushma K. Cribbs, Ken Kunisaki, Charles Rinaldo, Alison Morris, S. Mehdi Nouraie

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Rationale: Human immunodeficiency virus (HIV) infection is associated with chronic lung disease and impaired pulmonary function; however, longitudinal pulmonary function phenotypes in HIV are undefined. Objectives: To identify pulmonary function trajectories, their determinants, and outcomes. Methods: We used data from participants with HIV in the Pittsburgh HIV Lung Cohort with three or more pulmonary function tests between 2007 and 2020. We analyzed post-bronchodilator forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and FEV1/FVC, and diffusing capacity of the lung for carbon monoxide (DlCO) using group-based trajectory modeling to identify subgroups of individuals whose measurements followed a similar pattern over time. We examined the association between participant characteristics and trajectories using multivariable logistic regression. In exploratory adjusted analyses restricted to individuals with available plasma cytokine data, we investigated the association between 18 individual standardized cytokine concentrations and trajectories. We compared mortality, dyspnea prevalence, respiratory health status, and 6-minute-walk distance between phenotypes. Results: A total of 265 participants contributed 1,606 pulmonary function measurements over a median follow-up of 8.1 years. We identified two trajectories each for FEV1 and FVC: "low baseline, slow decline" and "high baseline, rapid decline." There were three trajectory groups for FEV1/FVC: "rapid decline," "moderate decline," and "slow decline." Finally, we identified two trajectories for DlCO: "baseline low" and "baseline high." The low baseline, slow decline FEV1 and FVC, rapid decline, and moderate decline FEV1/FVC, and baseline low DlCO phenotypes were associated with increased dyspnea prevalence, worse respiratory health status, and decreased 6-minute-walk distance. The baseline low DlCO phenotype was also associated with worse mortality. Current smoking and pack-years of smoking were associated with the adverse FEV1, FEV1/FVC, and DlCO phenotypes. Detectable viremia was the only HIV marker associated with the adverse DlCO phenotype. C-reactive protein and endothelin-1 were associated with the adverse FEV1 and FVC phenotypes, and endothelin-1 trended toward an association with the adverse DlCO phenotype. Conclusions: We identified novel, distinct longitudinal pulmonary function phenotypes with significant differences in characteristics and outcomes. These findings highlight the importance of lung dysfunction over time in people with HIV and should be validated in additional cohorts.

Original languageEnglish (US)
Pages (from-to)2013-2020
Number of pages8
JournalAnnals of the American Thoracic Society
Volume19
Issue number12
DOIs
StatePublished - Dec 1 2022

Keywords

  • group-based trajectory modeling
  • human immunodeficiency virus
  • pulmonary function

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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