A simplified automated algorithm interpreting noninvasive gas exchange from a 3-minute step test successfully differentiated between HF, PAH, OLD, RLD, and healthy cohorts (P<.05).
Observational (n=70)
Does a custom-developed automated algorithm interpreting a 3-minute step test differentiate between healthy subjects and patients with HF, PAH, OLD, and RLD?
A simplified automated algorithm interpreting a 3-minute step test can successfully differentiate between healthy individuals and those with heart failure, pulmonary arterial hypertension, or lung diseases.
p-value: p=<.05
We developed a simplified automated algorithm to interpret noninvasive gas exchange in healthy subjects and patients with heart failure (HF, n = 12), pulmonary arterial hypertension (PAH, n = 11), chronic obstructive lung disease (OLD, n = 16), and restrictive lung disease (RLD, n = 12). They underwent spirometry and thereafter an incremental 3-minute step test where heart rate and SpO 2 respiratory gas exchange were obtained. A custom-developed algorithm for each disease pathology was used to interpret outcomes. Each algorithm for HF, PAH, OLD, and RLD was capable of differentiating disease groups ( P < .05) as well as healthy cohorts (n = 19, P < .05). In addition, this algorithm identified referral pathology and coexisting disease. Our primary finding was that the ranking algorithm worked well to identify the primary referral pathology; however, coexisting disease in many of these pathologies in some cases equally contributed to the cardiorespiratory abnormalities. Automated algorithms will help guide decision making and simplify a traditionally complex and often time-consuming process.
Kim et al. (Sun,) conducted a observational in Heart failure, pulmonary arterial hypertension, chronic obstructive lung disease, and restrictive lung disease (n=70). Automated algorithm interpreting noninvasive gas exchange vs. Between-group comparison (disease groups vs. healthy cohorts) was evaluated on Differentiation of disease groups and healthy cohorts (p=<.05). A simplified automated algorithm interpreting noninvasive gas exchange from a 3-minute step test successfully differentiated between HF, PAH, OLD, RLD, and healthy cohorts (P<.05).