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Related Experiment Video

Updated: May 12, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

A cough algorithm for chronic cough in children: a multicenter, randomized controlled study.

Anne Bernadette Chang¹, Colin Francis Robertson, Peter Paul van Asperen

¹Child Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Australia. annechang@ausdoctors.net

|April 24, 2013

Summary

This summary is machine-generated.

A standardized clinical pathway for pediatric chronic cough significantly improved cough resolution and quality of life in children. Early implementation of this cough algorithm demonstrated superior clinical outcomes compared to delayed use.

Keywords:

children cough guidelines randomized controlled trial

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Published on: January 10, 2025

Area of Science:

Pediatric Pulmonology
Clinical Trial Methodology
Health Outcomes Research

Background:

Chronic cough in children is a common and often persistent issue.
Standardized management pathways can potentially improve care efficiency and effectiveness.
Evaluating the reliability and validity of such pathways is crucial for clinical adoption.

Purpose of the Study:

To evaluate if a standardized clinical management pathway improves clinical outcomes for chronic cough in children within 6 weeks.
To assess the reliability and validity of this standardized pathway for pediatric chronic cough.

Main Methods:

A pragmatic, multicenter randomized controlled trial involving 272 children with chronic cough.
Children were allocated to either early or delayed use of a standardized cough algorithm.
Primary outcomes included cough resolution and cough-specific quality of life at 6 weeks.

Main Results:

Significantly higher cough resolution rates at 6 weeks in the early-arm group (24.7% absolute risk reduction).
Improved cough-specific quality of life scores at 6 weeks in the early-arm group.
Shorter cough duration post-randomization and high reliability (κ = 1) and validity (93%-100%) of the algorithm were observed.

Conclusions:

Management of pediatric chronic cough using a standardized algorithm improves clinical outcomes.
The standardized algorithm is reliable, valid, and feasible for primary care settings.
Further validation of this clinical algorithm in diverse settings is recommended.