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Using Recursive Logistic Regression to Develop a Patient-reported Outcome in Non-cystic Fibrosis Bronchiectasis

Year: 2015

Type: conference-paper

Abstract: Many patient reported outcomes for non-cystic fibrosis bronchiectasis are time-consuming self-report surveys such as the St. George's Respiratory Questionnaire. Using data from the EMBRACE multi-center RCT, we use recursive logistic regression to develop a new outcome that only requires responses to three simple questions about pulmonary symptoms (sputum volume, sputum purulence, and dyspnoea). The low response burden means that the outcome can be calculated for each day of follow-up in real-time. The new outcome is constructed such that it is a good predictor of event-based exacerbation, a sustained worsening of condition requiring treatment with antibiotics, and validated against self-reported quality of life.

Source: Tuwhera (Auckland University of Technology)

Authors: MC Wheldon, AC Vandal, AC Bourien, Lata Jayaram, Noel Karalus, C. Tong, Hans Hockey, Conroy Wong

Language: English

Topic: Cystic Fibrosis Research Advances

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2744319538

FWCI:

Cites: 3

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Related to: 10