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Bland-Altman plots of the anaemia recovery times and multiples of anaemia half-times are shown in Fig. 4.
The limits of agreement between anaemia recovery times and 9 or 10 multiples of anaemia half-times were narrow.
Greater than 8 multiples of anaemia half-times showed an insignificant bias when a Bland-Altman analysis was used.
Bland-Altman analysis of 9 or 10 multiples of anaemia half-time and anaemia recovery times showed narrow limit of agreement with insignificant biases (P = 0.19 or 0.63, respectively).
Thus, confirming that >8 multiples of anaemia half-times can be used interchangeably with anaemia recovery time for the evaluation of recovery from uncomplicated malaria-associated anaemia following artemisinin-based combination treatments.
Therefore, the agreement between 9 or 10 multiples of anaemia half-times and anaemia recovery time was not unexpected since it takes 9 or 10 half-times for 99.6 or 99.9%% completion of an elimination process in a simple one compartment pharmacokinetic model.
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The bias at multiples of 9 or 10 anaemia half-times was statistically insignificant (P = 0.19 and 0.63, respectively).
However, there was a statistically significant bias at multiples of 7 or 8 anaemia half-times (P < 0.0001 and P = 0.002, respectively).
In the Philippines, it was demonstrated that even at low infection intensities, multiple parasite infections enhance the risk of anaemia [ 25, 26].
Multiple pathogenic mechanisms contribute towards the development of anaemia in critically ill patients.
Significant factors were included in a multiple logistic regression model to determine those which were independently associated with presence of anaemia.
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