Login / Signup

Predictive Performance of Population Pharmacokinetic Models for Amikacin in Term Neonates.

Saikumar MatchaJayashree DillibatchaArun Prasath RajuBhim Bahadur ChaudhariSudheer MoorkothLeslie E LewisSurulivel Rajan M
Published in: Paediatric drugs (2023)
The population pharmacokinetic model reported by the Illamola et al. model was selected as the final model to explain the clinical data with the lowest relative median absolute prediction error and relative root mean square error when compared with other models. An amikacin nomogram was developed for the neonates whose creatinine clearance and body weight ranged between 10 and 90 mL/min and between 2 and 4 kg, respectively. A developed nomogram can assist clinicians to design an optimal dosage regimen of amikacin for term neonates.
Keyphrases
  • body weight
  • low birth weight
  • preterm infants
  • palliative care
  • squamous cell carcinoma
  • machine learning
  • big data
  • artificial intelligence