Statistical Analysis
The Bland-Altman method was used to assess agreement between arterial (A) and central venous (V) measurements of pH, Pco2, and bicarbonate. The A-V difference versus the average value ([A_V]/2)
was plotted. Means, SDs, and 95% prediction intervals (limits of agreement) of the A-V differences are reported as well as the Pearson correlation between A-V and (A_V)/2. If there is no trend in the A-V differences, then this correlation should be 0. In addition, Pearson correlations between the arterial and central venous values are reported and linear regression was used to establish equations for estimation of arterial values from central venous values. Because there were multiple A and V measurements for a single patient, components of variance computations were carried out to determine whether there was between-patient SD heterogeneity, and a random slope and intercept model was used to determine whether there was between-patient heterogeneity in the regression analyses. A sample size of 40 patients was based on estimating the central venous minus arterial differences (lack of agreement) and their SD
(SDe) to within _23% with 95% confidence for Pco2, bicarbonate, or pH differences.
Statistical Analysis
The Bland-Altman method was used to assess agreement between arterial (A) and central venous (V) measurements of pH, Pco2, and bicarbonate. The A-V difference versus the average value ([A_V]/2)
was plotted. Means, SDs, and 95% prediction intervals (limits of agreement) of the A-V differences are reported as well as the Pearson correlation between A-V and (A_V)/2. If there is no trend in the A-V differences, then this correlation should be 0. In addition, Pearson correlations between the arterial and central venous values are reported and linear regression was used to establish equations for estimation of arterial values from central venous values. Because there were multiple A and V measurements for a single patient, components of variance computations were carried out to determine whether there was between-patient SD heterogeneity, and a random slope and intercept model was used to determine whether there was between-patient heterogeneity in the regression analyses. A sample size of 40 patients was based on estimating the central venous minus arterial differences (lack of agreement) and their SD
(SDe) to within _23% with 95% confidence for Pco2, bicarbonate, or pH differences.
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