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ORIGINAL RESEARCH article

Front. Pharmacol.
Sec. Pharmacogenetics and Pharmacogenomics
Volume 15 - 2024 | doi: 10.3389/fphar.2024.1515523

Pharmacogenetic and pharmacokinetic factors for dexmedetomidine-associated hemodynamic instability in pediatric patients

Provisionally accepted
  • 1 School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, Guangdong Province, China
  • 2 Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong Province, China
  • 3 The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

The final, formatted version of the article will be published soon.

    The incidence of hemodynamic instability associated with dexmedetomidine (DEX) sedation has been reported to exceed 50%, with substantial inter-individual variability in response. Genetic factors have been suggested to contribute significantly to such variation. The study was to identify the clinical, pharmacokinetic and genetic factors associated with DEX-induced hemodynamic instability in pediatric anesthesia patients.A cohort of 270 pediatric patients, scheduled for elective interventional surgery, received an intranasal dose of 3 mcg·kg -1 of dexmedetomidine and subsequent propofol induction was conducted when patients had a UMSS of 2-4. The primary endpoint was hemodynamic instability: defined as a composite of hypotension and/or bradycardia, characterized by a 20% reduction from age-specific baseline values. Plasma concentrations of dexmedetomidine were determined, and single nucleotide polymorphisms (SNPs) were genotyped. A validated population pharmacokinetic model was used to estimate pharmacokinetic parameters. Lasso regression was used to identify significant factors and a Cox's proportional hazards model-derived nomogram for hemodynamic instability was developed. Results: Hemodynamic instability was observed in 52 out of 270 patients (209 events), resulting in a cumulative incidence of 16.30% at 90 minutes, as estimated by Kaplan-Meier estimation, and was associated with a median time to event of 35 minutes. The interval time between DEX initiation and propofol induction was 16 min (IQR: 12-22 min). The cumulative incidence was 8.2% within 22 minutes after DEX initiation. The identified significant risk factors included weight, DEX clearance, concomitant propofol use, and the following gene variants UGT2B10 rs1841042 (Hazard ratio (HR):1.41, 95% confidence interval (CI): 1.12-1.79), CYP2A6 rs8192733(HR:0.28, 95%CI:0.09-0.88), ADRA2B rs3813662 (HR:1.39,95%CI:1.02-1.89), CACNA2D2 rs2236957(HR:1.46, 95%CI:1.09-1.96),NR1I2 rs3814057 (HR:0.64, 95%CI:0.43-0.95) and CACNB2 rs10764319 (HR:1.40,95%CI:1.05-1.87) were identified as significant risk factors for DEX-associated hemodynamic instability. The area under the curve for the train and test cohorts were 0.881 and 0.762, respectively. Calibration curve indicated excellent agreement. Conclusion: The predictive nomogram, which incorporates genetic variants (UGT2B10, CYP2A6, ADRA2B, CACNA2D2, NR1I2, and CACNB2), along with clinical factors such as weight, DEX clearance, and propofol use, may help prevent DEX-associated hemodynamic instability. Delayed hemodynamic instability is likely to occur after 35-min DEX initiation in patients with lower DEX clearance after propofol induction.

    Keywords: Dexmedetomidine, Hemodynamic instability, Polymorphism, Single Nucleotide, pharmacokinetics, pediatric anesthesia Dexmedetomidine, pediatric anesthesia

    Received: 23 Oct 2024; Accepted: 25 Nov 2024.

    Copyright: © 2024 Guan, Li, Zhang, Luo, Wang, Bai, Zheng, Huang, Wei, Huang, Song and Zhong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Guoping Zhong, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong Province, China

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