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Use of Electronic Health Records to Identify Exposure-Response Relationships in Critically Ill Children: An Example of Midazolam and Delirium.

Publication ,  Journal Article
Zimmerman, KO; Spears, TG; Cobbaert, M; Boakye-Agyeman, F; Wu, H; Cohen-Wolkowiez, M; Watt, KM; Benjamin, DK; Becker, ML; Traube, C; Smith, PB
Published in: J Pediatr Intensive Care
December 2022

Adverse drug events are common in critically ill children and often result from systemic or target organ drug exposure. Methods of drug dosing and titration that consider pharmacokinetic alterations may improve our ability to optimally dose critically ill patients and reduce the risk for drug-related adverse events. To demonstrate this possibility, we explored the exposure-response relationship between midazolam and delirium in critically ill children. We retrospectively examined electronic health records (EHRs) of critically ill children <18 years of age hospitalized in the pediatric intensive care unit at Duke University; these children were administered midazolam during mechanical ventilation and had ≥1 Cornell Assessment of Pediatric Delirium (CAPD) score. We used individual-level data extracted from the EHR and a previously published population pharmacokinetic (PK) model developed in critically ill children to simulate plasma concentrations at the time of CAPD scores in 1,000 representative datasets. We used multilevel repeated measures models, with clustering at patient and simulation levels, to evaluate the associations between measures of drug exposure (e.g., concentration and area under concentration time curve) and delirium scores. We included 61 children, median age 1.5 years (range = 0.1-16.3), with 181 CAPD assessments. We identified similarities between simulated Empirical Bayesian parameter estimates from the EHR cohort and those from the PK model population. We identified a stronger association between drug concentration at the time of score and CAPD scores (coefficient 1.78; 95% confidence interval: 1.66-1.90) compared with cumulative dose per kilogram and CAPD scores (coefficient -0.01; 95% confidence interval: -0.01 to -0.01). EHR and PK models can be leveraged to investigate exposure-response relationships in critically ill children.

Duke Scholars

Published In

J Pediatr Intensive Care

DOI

ISSN

2146-4618

Publication Date

December 2022

Volume

11

Issue

4

Start / End Page

300 / 307

Location

Germany
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zimmerman, K. O., Spears, T. G., Cobbaert, M., Boakye-Agyeman, F., Wu, H., Cohen-Wolkowiez, M., … Smith, P. B. (2022). Use of Electronic Health Records to Identify Exposure-Response Relationships in Critically Ill Children: An Example of Midazolam and Delirium. J Pediatr Intensive Care, 11(4), 300–307. https://doi.org/10.1055/s-0041-1725148
Zimmerman, Kanecia O., Tracy G. Spears, Marjan Cobbaert, Felix Boakye-Agyeman, Huali Wu, Michael Cohen-Wolkowiez, Kevin M. Watt, et al. “Use of Electronic Health Records to Identify Exposure-Response Relationships in Critically Ill Children: An Example of Midazolam and Delirium.J Pediatr Intensive Care 11, no. 4 (December 2022): 300–307. https://doi.org/10.1055/s-0041-1725148.
Zimmerman KO, Spears TG, Cobbaert M, Boakye-Agyeman F, Wu H, Cohen-Wolkowiez M, et al. Use of Electronic Health Records to Identify Exposure-Response Relationships in Critically Ill Children: An Example of Midazolam and Delirium. J Pediatr Intensive Care. 2022 Dec;11(4):300–7.
Zimmerman, Kanecia O., et al. “Use of Electronic Health Records to Identify Exposure-Response Relationships in Critically Ill Children: An Example of Midazolam and Delirium.J Pediatr Intensive Care, vol. 11, no. 4, Dec. 2022, pp. 300–07. Pubmed, doi:10.1055/s-0041-1725148.
Zimmerman KO, Spears TG, Cobbaert M, Boakye-Agyeman F, Wu H, Cohen-Wolkowiez M, Watt KM, Benjamin DK, Becker ML, Traube C, Smith PB. Use of Electronic Health Records to Identify Exposure-Response Relationships in Critically Ill Children: An Example of Midazolam and Delirium. J Pediatr Intensive Care. 2022 Dec;11(4):300–307.
Journal cover image

Published In

J Pediatr Intensive Care

DOI

ISSN

2146-4618

Publication Date

December 2022

Volume

11

Issue

4

Start / End Page

300 / 307

Location

Germany