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A final model for infant's cytokine was created with maternal cytokine producer status and confounding factors for maternal and child cytokine production.
The final model for infant mortality explained 70% of the observed heterogeneity in outcome between PCTs.
The final model for infant blood lead included breast milk lead, umbilical cord lead at delivery, breast-feeding status (exclusive vs. partial), and infant weight change.
Out of the 12 candidate variables, the final model for infant mortality included three which were highly statistically significantly predictive of outcome (see tables 2 and 4).
Nonetheless, it has consistently been found to be the best structural model for infant growth (Berkey and Reed, 1987; Chirwa et al., 2014; Johnson, 2010; Pizzi et al., 2014; Simondon et al., 1992).
Both models explained substantial amounts of the observed variability between PCTs, with the final model for infant mortality explaining 70.0% of the between-PCT heterogeneity, and the final model for perinatal mortality explaining 80.5% of the between-PCT heterogeneity.
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Because ECMO and CPB are 'comparable' procedures, the developed PK/PD model for infants after cardiac surgery might also be applicable for patients treated with ECMO [ 8, 19].
Since ECMO and CPB are 'comparable' procedures, the developed PK/PD model for infants after CPB surgery might also be applicable for neonates treated with ECMO [ 9].
With the developed PK/PD model for infants after cardiac surgery, we simulated various furosemide regimens and observed the effect of a furosemide loading bolus on urine production as well as on the time to reach the predefined urine output [ 8, 19].
Programs use a variety of models for infant feeding counseling.
Backward model selection was used to derive separate models for infant mortality and perinatal mortality.
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