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The variability in QoL explained by these unmodifiable factors is, however, small and the remaining independent predictors appear to have potential for intervention.
In concordance with the nucleotide sequence results, the very same three predictors appear to significantly influence asymmetry between paralogs at the amino acid level, accounting for ~13% of the variation.
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However, the relative importance of these predictors appears to vary depending on a client's level of service-related experience.
However, no baseline predictors appeared to predict both the lack of progression and clinical remission.
Besides coping, no other predictors appeared to have a direct relation with HRQoL.
We evaluated predictors of low response in patients who had sepsis at admission and who met criteria for sepsis at the time of the ACTH test separately; these predictors appeared to be similar, in multivariate analyses.
Although none of these predictors appears to be sufficiently sensitive or specific in predicting weaning success, paediatric studies have used integrated indices, including respiratory drive, respiratory load, muscle strength and quality of gas exchange.
Expert selected predictors appeared to be different from that of a statistically derived model, however both models confirmed the importance of symptom duration, baseline level of disability and multisite pain.
The strongest predictors appeared to fall into three general categories: (i) physical performance measures, (ii) contrast sensitivity scores from a visual exam, and (iii) self-rated health assessments based on a self-administered questionnaire (Table 1).
The EMA-based predictor appears to be doing a good job on predicting these types of loads.
While Jacobson's RTT predictor appears to present strong variation with the mobility level, the proposed experts algorithm presents little variation when changing the speed of the nodes.
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