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AFRICAN RESEARCH NEXUS

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Associations between baseline biomarkers and lung function in HIV-positive individuals

AIDS, Volume 33, No. 4, Year 2019

The aim of this study was to analyse the association of baseline biomarker data with cross-sectional lung function and subsequent decline in lung function in HIV-positive persons.Design:Lung function was modelled in all START pulmonary substudy participants who had baseline biomarker data and good-quality spirometry. In longitudinal analyses, we restricted to those participants with at least one good-quality follow-up spirometry test.Methods:We performed linear regression of baseline forced expiratory volume in 1s (FEV1 ), forced vital capacity (FVC) and FEV1 /FVC and their longitudinal slopes on log2 -transformed baseline biomarkers with adjustment for age, sex, race, region, smoking status, baseline CD4 T-cell counts and baseline HIV-RNA. Biomarkers included D-dimer, high-sensitivity C-reactive protein (hsCRP), interleukin (IL)-6, IL-27, serum amyloid A, soluble intercellular adhesion molecule (sICAM)-1, soluble vascular cell adhesion molecule (sVCAM)-1, albumin and total bilirubin.Results:Among 903 included participants, baseline median age was 36 years, CD4 cell count was 647cells/μl, and 28.5% were current smokers. In adjusted analyses, elevated markers of systemic inflammation (hsCRP, IL-6 and serum amyloid A) were associated with lower baseline FEV1 and FVC. Elevated D-dimer and IL-6 were associated with worse airflow obstruction (lower FEV1 /FVC). Despite these cross-sectional associations at baseline, no associations were found between baseline biomarkers and subsequent longitudinal lung function decline over a median follow-up time of 3.9 years (3293 spirometry-years of follow-up).Conclusion:Commonly available biomarkers, in particular markers of systemic inflammation, are associated with worse cross-sectional lung function, but do not associate with subsequent lung function decline among HIV-positive persons with early HIV infection and baseline CD4 T-cell counts more than 500cells/μl.
Statistics
Citations: 15
Authors: 11
Affiliations: 8
Identifiers
Research Areas
Infectious Diseases
Study Design
Cross Sectional Study
Cohort Study