Podotimod in pediatric recurrent respiratory tract infections: a cost-utility analysis

Jefferson Antonio Buendía1,2, Diana Guerrero Patiño3, Erika Fernanda Lindarte3

  • 1Research Group in Pharmacology and Toxicology "INFARTO", Department of Pharmacology and Toxicology, University of Antioquia, Medellin, Colombia. jefferson.buendia@gmail.com.

Insights

Pidotimod (PDT) supplementation is a cost-effective strategy for reducing recurrent respiratory tract infections in children. This economic evaluation demonstrates PDT

Area of Science:

  • Pediatric Infectious Diseases
  • Health Economics
  • Pharmacoeconomics

Background:

  • Recurrent respiratory tract infections (RRTIs) pose a significant burden on children's health.
  • Economic evaluations of Pidotimod (PDT) for RRTIs are scarce, despite evidence of its efficacy.
  • This study addresses the need for cost-utility data on PDT in pediatric populations.

Purpose of the Study:

  • To determine the cost-utility of Pidotimod (PDT) supplementation.
  • To evaluate PDT's effectiveness in reducing the incidence of RRTIs in children aged 1-6.
  • To provide economic evidence for decision-makers regarding PDT use.

Main Methods:

  • A decision tree model was employed to assess costs and Quality-Adjusted Life-Years (QALYs).
  • The model simulated outcomes for children with a history of RRTIs.
  • Sensitivity analyses were performed, and cost-effectiveness was evaluated against a willingness-to-pay threshold of US$5180.

Main Results:

  • Pidotimod (PDT) demonstrated absolute dominance over placebo, with lower costs and higher QALYs.
  • The annual cost per patient was US$797 with PDT versus US$1175 with placebo.
  • QALYs per person were 0.95 with PDT compared to 0.94 with placebo, with a Net Monetary Benefit (NMB) of US$4121 for PDT.

Conclusions:

  • Pidotimod (PDT) is a cost-effective strategy for managing recurrent respiratory tract infections in children.
  • The findings support the integration of PDT into clinical practice guidelines.
  • This economic evaluation provides valuable data for healthcare decision-making.
Abstract

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