Table 1.
Baseline characteristics.
Fig 1.
A restricted cubic spline model of the relationship between gamma gap and HIV adjusted for age, gender, and race with three knots.
Adjusted prevalence ratio (solid line) and 95% CI were plotted against the gamma gap. Plot was truncated at the 0.5th and 99.5th percentiles. Gamma gap distribution in the case (positive for HIV) sample (red) compared to the control (negative for HIV) sample (black) are also included. The vertical grey line at 4g/dL indicates the commonly used gamma gap cutoff.
Table 2.
Diagnostic performance of gamma gap for HIV using different gamma gap thresholds, N = 25,680.
Fig 2.
A restricted cubic spline model of the relationship between gamma gap and HCV adjusted for age, gender, and race with three knots.
Adjusted prevalence ratio (solid line) and 95% CI were plotted against the gamma gap. Plot was truncated at the 0.5th and 99.5th percentiles. Gamma gap distribution in the case (positive for HCV) sample (red) compared to the control (negative for HCV) sample (black) are also included. The vertical grey line at 4g/dL indicates the commonly used gamma gap cutoff.
Table 3.
Diagnostic performance of gamma gap for HCV using different gamma gap threshold, N = 45,134.
Fig 3.
A restricted cubic spline model of the relationship between gamma gap and MGUS adjusted for age, gender, and race with three knots.
Adjusted prevalence ratio (solid line) and 95% CI were plotted against the gamma gap. Plot was truncated at the 0.5th and 99.5th percentiles. Gamma gap distribution in the case (positive for MGUS) sample (red) compared to the control (negative for MGUS) sample (black) are also included. The vertical grey line at 4g/dL indicates the commonly used gamma gap cutoff.
Table 4.
Diagnostic performance of gamma gap for MGUS using different gamma gap thresholds, N = 6,118.