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. 2026 Feb 18;17:1763837. doi: 10.3389/fphys.2026.1763837

FIGURE 1.

Panel a shows a principal component analysis scatter plot with labeled sample points, outliers in red, and point size indicating cos2 values. Panel b presents a PCA scatter plot overlaid with density contours and boxplots comparing four groups. Panels c to f display scatter plots with trend lines for DAHA against SpO2, hemoglobin, hematocrit, and red cell width standard deviation, with positive correlations and adjusted p-values annotated.

Quality control and linear regression analysis of detection parameters correlated with DAHA. (a) PCA plot of outliers based on the detection parameters. Red points indicate outlier samples. (b) PCA plots results and basic statistics between DAHA groups based on the detection parameters. Samples and circles represent the 95% confidence intervals colored according to DAHA groups. Different circles represent the 95% confidence intervals for each DAHA group c–f. Dot plots showing linear regression analyzes between DAHA and the following parameters: SpO2 (c), HGB (d), HCT (e), and RWD-SD. (f) The points are colored according to their DAHA value. r: correlation coefficient, adj_p: adjusted p values by Benjamini & Hochberg method.