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A Bland−Altman plot was used to summarize the differences between the two formulae 26.
Figure 1 shows a Bland−Altman plot of the agreement between the two formulae, which varied according to the mean eGFR.
The discrepancy increases as the eGFR rises but even within the range where CKD classification depends on eGFR, the disparity between the two formulae can be large.
Differences in growth are likely then to primarily reflect increases in protein intake (because the protein: energy ratio was also different between the two formulae).
Differences in the incidence or Kaplan−Meier progression rates of advanced CKD between the two formulae were much smaller than those seen for moderate CKD (Table 2).
We chose to use the Gehan and George formula for BSA estimation, since the Pearson correlation coefficient between this equation and the guideline-recommended Haycock equation was r = 1.0 (P <0.001), with excellent Bland-Altman agreement between the two formulae.
Similar(54)
Derive the equivalence between the two formulas for F measure shown in Equation 40, given that.
After a single dose, the elimination rate and initial retention were similar between the two formulas; however, after repeat dosing, the initial retention was higher for the 0.2% CHX-alcohol group (84,010.90 vs. 68,208.62 ng/ml), but the elimination rate was slower for the 0.2% CHX-alcohol-free group (−0.15 vs. −0.08 1/hr).
Bacterial translocation to the lower mesenteric lymph nodes or to the spleen did not vary significantly between the two formulas, irrespective of age (data not shown).
The numerical comparison between the two formulas will be given in the section of simulation study.
However, the HM supplementation intake was not different between the two formula feeding groups (Table 4).
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