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Article Abstract
Pulmonary complications remain a significant challenge for COVID-19 survivors, necessitating advanced diagnostic approaches for long-term assessment. We present a curated, open-access dataset of pulmonary function measurements-including nitric oxide (DLNO) and carbon monoxide (DLCO) diffusing capacities-in 572 post-COVID-19 patients and 72 healthy controls (filtered from an original cohort of 726 survivors and 126 controls). Collected across eight international centres, the data include demographics, spirometry, lung volumes, and 5-6 s single-breath DLNO, DLCO, and alveolar volume (VA). Missing values for total lung capacity were imputed, and low-quality or system-specific (Hyp'Air Compact) measurements were excluded in the filtered dataset. A third subset (333 patients, 54 controls) links these measurements to dyspnoea severity (mMRC scale) for correlation and proportional odds analyses. This resource underpins predictive modeling of post-COVID pulmonary impairment via summed z-scores (DLNO + DLCO) and aims to accelerate validation of NO-CO diagnostics. The freely accessible datasets are provided in both SPSS (.sav) and .csv formats at the Mendeley Data Cloud-based repository and includes nominal, ordinal, and scalar data.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361787 | PMC |
| http://dx.doi.org/10.1016/j.dib.2025.111925 | DOI Listing |
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