Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Evaluating the Capacity of High-sensitivity Serum CRP Levels to Predict Bronchial Hyper Responsiveness in School Age Children

Rambam Health Care Campus · 2011
ClinicalTrials.gov · Datasets · License: Public Domain · 2011
Open Source ↗
body-mass-indexc-reactive-protein
Background: Bronchial hyper responsiveness (BHR) assessed by methacholine challenge test (MCT) may aid in the diagnosis of asthma, while negative MCT can help to exclude the diagnosis. Laboratory measures that predict the results of MCT are expected to reduce the number of procedures. The possible capacity of High sensitive C-reactive protein (hs-CRP), a marker of systemic inflammation, to predict negative or positive MCT in children has not been evaluated. Aim: to evaluate the capacity of hs-CRP to predict positive or negative MCT in school aged children and to compare it with markers of airway inflammation: Fractional exhaled Nitric Oxide (FeNO) and markers of allergic sensitization (IgE and peripheral blood eosinophils). Design: Prospective study evaluating these parameters in patients with positive and negative MCT. Participant selection: The study population included subjects (age range 6 to 18 years) referred for Methacholine Challenge Test (MCT) Sample size: 130 participants in the two groups. Intervention: Each subject will undergo evaluation including a respiratory questionnaire, methacholine challenge test with determination of PC20(the provocative concentration that reduced FEV1 by 20% from baseline), exhaled nitric oxide (eNO). Venous blood will be analyzed for complete blood count + eosinophils, IGE levels, hs-CRP. All measurements will be evaluated in a single 3 hour visit, with no follow up study visits. Primary end point: hs-CRP levels as add on tool to predict negative or positive MCT in children Secondary outcome parameters: All other parameters are the secondary end points.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 883297
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive