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Member Research and Reports

Georgia State: Researchers Describe a Method for Estimating Minute Ventilation in Healthy Individuals Using Heart Rate as the Continuously-measured Predictor

Air pollution inhaled dose is the product of pollutant concentration and minute ventilation.  Previous studies have parameterized the relationship between minute ventilation and variables such as heart rate (HR) and have observed substantial inter-subject variability. In this paper, Georgia State University School of Public Health researchers evaluated a method to estimate minute ventilation with easy-to-measure variables in an analysis of pooled-data from eight independent studies. Researchers compiled a large diverse data set that was balanced with respect to age, sex and fitness level. They used linear mixed models to estimate minute ventilation with HR, breath frequency (fB), age, sex, height, and forced vital capacity (FVC) as predictors. FVC was estimated using the Global Lung Function Initiative method. Dependent and independent variables were log-transformed to produce a model in the form of a power function and model performance assessed using a ten-fold cross-validation procedure. The best performing model using HR as the only field-measured parameter was minute ventilation = e-9.59HR2.39age0.274sex-0.204FVC0.520 with HR in beats per minute, age in years, sex is 1 for males and 2 for females, FVC in liters, and a median(IQR) cross-validated percent error of 0.664(45.4) percent. The best performing model overall was minute ventilation = e-8.57HR1.72fB0.611age0.298sex-0.206FVC0.614, where fB is breaths per minute, and a median(IQR) percent error of 1.20(37.9) percent. The performance of these models is substantially better than any previously-published model when evaluated using this large pooled-data set.

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