Using Pharmacokinetic Modeling and Electronic Health Record Data to Predict Clinical and Safety Outcomes after Methylprednisolone Exposure during Cardiopulmonary Bypass in Neonates.
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| Title: | Using Pharmacokinetic Modeling and Electronic Health Record Data to Predict Clinical and Safety Outcomes after Methylprednisolone Exposure during Cardiopulmonary Bypass in Neonates. |
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| Authors: | Foote HP; Department of Pediatrics, Duke University, Durham, USA., Wu H; Duke Clinical Research Institute, Durham, USA., Balevic SJ; Department of Pediatrics, Duke University, Durham, USA.; Duke Clinical Research Institute, Durham, USA., Thompson EJ; Department of Pediatrics, Duke University, Durham, USA.; Duke Clinical Research Institute, Durham, USA., Hill KD; Department of Pediatrics, Duke University, Durham, USA.; Duke Clinical Research Institute, Durham, USA., Graham EM; Department of Pediatrics, Medical University of South Carolina, Charleston, USA., Hornik CP; Department of Pediatrics, Duke University, Durham, USA.; Duke Clinical Research Institute, Durham, USA., Kumar KR; Department of Pediatrics, Duke University, Durham, USA.; Duke Clinical Research Institute, Durham, USA. |
| Source: | Congenital heart disease [Congenit Heart Dis] 2023; Vol. 18 (3), pp. 295-313. Date of Electronic Publication: 2023 Jun 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Tech Science Press Country of Publication: United States NLM ID: 101256510 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1747-0803 (Electronic) Linking ISSN: 1747079X NLM ISO Abbreviation: Congenit Heart Dis Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1747-0803 |
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| DOI: | 10.32604/chd.2023.026262 |
