Skip to main content
OpenTrials
Completed

NCT Number: NCT05888350

Biomarkers for Predicting the Response to Inhaled Corticosteroid in Patients With Chronic Cough.

To investigate the value of blood eosinophils, FeNO and total IgE in predicting the response to inhaled corticosteroid in patients with chronic cough.

Completed

Looking for future studies?

Notify Me

Key information

Age range

18 year–70 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

The First Affiliated Hospital of Guangzhou Medical University

Guangzhou, Guangdong, 520120, China

About this study

Chronic cough is a frequent complaint in respiratory specialists clinic. CVA, UACS, EB, GERC and AC are common causes of chronic cough, among whom, CVA, EB and AC can be classified as corticosteroid responsive cough.

To recognize the eosinophilic airway inflammation and assess the response of inhaled corticosteroid, induced sputum analysis is the most widely used examination but not all the subjects can provide an suitable sample of sputum for measurements and it's time-consuming.

Recently, blood eosinophils, FeNO and total IgE were detected to be biomarkers of eosinophilic airway inflammation for asthmatics. However, whether can they predict the response to corticosteroid in chronic cough remains uncertain.

The present prospective, multi-center, randomized placebo-controlled study aims to explore the value of blood eosinophils, FeNO and total IgE in predicting the response to inhaled corticosteroid in patients with chronic cough.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age: 18-70 years;
  • Coughing lasting ≥ 8 weeks;
  • No abnormality in chest imaging in the past 3 months (or there is abnormality but the investigator judges it not the cause of chronic cough);
  • FEV1% pred>70%;FEV1/FVC>70%;
  • VAS≥30 in the past 48 hours;
  • Non-smokers or patients smoked less than 10 pack-years;
  • Candidates voluntarily participate in and abide by the relevant regulations of the study, can cooperate with corresponding inspections, follow the follow-up plan, and voluntarily sign written informed consent.

Exclusion criteria

  • Patients received inhaled or oral corticosteroids or leukotriene receptor antagonist in previous 4 weeks;
  • Patients with history of upper respiratory tract infection in the past 8 weeks;
  • Patients taking angiotensin-converting enzyme inhibitors in previous 8 weeks;
  • Female subjects who are pregnant, breast-feeding or risk of becoming pregnant during the study;
  • Combined with a definite history of pulmonary diseases such as bronchiectasis, pulmonary interstitial disease, and pulmonary hypertension. Combined with other serious diseases (such as cardiovascular system diseases, metabolic system diseases, immune system diseases, nervous system diseases, etc.) that may affect the normal process of this study;
  • Participating in other drug clinical trial projects.

Treatment and study plan

Beclometasone Dipropionate and Formoterol Inhalation Aerosol

Drug

Inhaled Foster (Beclometasone Dipropionate and Formoterol Inhalation Aerosol) , 1puff, BID, 4weeks

Placebo

Drug

Inhaled Placebo, 1puff, BID, 4weeks

Primary outcomes

  1. Cough VAS change from baseline to the 4th week

    Time frame: the 4th week

    the percentage change in cough VAS score from baseline at week 4, calculated as (VAS baseline-VAS week 4) / VAS baseline×100%.

Secondary outcomes

  1. Cough VAS change from baseline to the 4th week

    Time frame: the 4th week

    The proportion of patients achieving a reduction of ≥30 mm in cough VAS score

  2. LCQ change from baseline to the 4th week

    Time frame: the 4th week

    The percentage change in Leicester cough questionnaire (LCQ) and cough evaluation test (CET) from baseline at week 4. The proportion of patients achieving an improvement of ≥1.3 in LCQ score

  3. CET change from baseline at week 4

    Time frame: the 4th week

    The percentage change in cough evaluation test (CET) from baseline at week 4; The proportion of patients achieving a reduction of ≥2 in CET

  4. patient-reported global treatment response

    Time frame: the 4th week

    patient-reported global treatment response (very effective, effective, partially effective or ineffective)

Other outcomes

  1. The AUC of blood eosinophils, FeNO in predicting the response to inhaled corticosteroid in patients with chronic cough.

    Time frame: the 4th week

    The area under the receiver operating curve (AUC) of blood eosinophils in predicting the response to inhaled corticosteroid in patients with chronic cough. The area under the receiver operating curve (AUC) of FeNO in predicting the response to inhaled corticosteroid in patients with chronic cough.

  2. The optimal cut-off value of blood eosinophils in cells/μL-1 in predicting the response to inhaled corticosteroid in patients with chronic cough.

    Time frame: the 4th week

    The optimal cut-off value of blood eosinophils in cells/μL-1 in predicting the response to inhaled corticosteroid in patients with chronic cough

  3. The optimal cut-off value of FeNO in pbb in kU/L in predicting the response to inhaled corticosteroid in patients with chronic cough.

    Time frame: the 4th week

    The optimal cut-off value of FeNO in pbb in predicting the response to inhaled corticosteroid in patients with chronic cough.

  4. The sensitivity and specificity in percentage of blood eosinophils, FeNO and total IgE in predicting the response to inhaled corticosteroid in patients with chronic cough.

    Time frame: the 4th week

    The sensitivity and specificity in percentage of blood eosinophils in predicting the response to inhaled corticosteroid in patients with chronic cough. The sensitivity and specificity in percentage of FeNO in predicting the response to inhaled corticosteroid in patients with chronic cough. The sensitivity and specificity in percentage of total IgE in predicting the response to inhaled corticosteroid in patients with chronic cough.

  5. Clinical characteristics of responders and non-responders

    Time frame: baseline

    Clinical characteristics including gender, age and cough duration would be registered in a specific case report form in baseline.

Sponsors and collaborators

Lead sponsor

The First Affiliated Hospital of Guangzhou Medical University

Other

Collaborators

  • Beijing Chao Yang Hospital
  • China-Japan Friendship Hospital
  • Chongqing Songshan Hospital
  • First Hospital of China Medical University
  • Guangdong Provincial Hospital of Traditional Chinese Medicine
  • Henan Provincial People's Hospital
  • Inner Mongolia People's Hospital
  • Nanfang Hospital, Southern Medical University
  • Ruijin Hospital
  • SSL Central Hospital of Dongguan City
  • Second Hospital of Jilin University
  • Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
  • Shenzhen People's Hospital
  • The First Affiliated Hospital of Henan University of Traditional Chinese Medicine
  • The First Affiliated Hospital of Shanxi Medical University
  • The First People's Hospital of Yunnan
  • The Third People's Hospital of Huizhou
  • Tongji Hospital
  • Zunyi Medical College

Registry information

Official study title

The Value of FeNO, Blood Eosinophils and TIgE in Predicting the Response to Corticosteroid in Patients With Chronic Cough

Acronym: CC-ICS

Important dates

Study start
2023
Primary completion
2025
Study completion
2025
First posted
Jun 5, 2023
Registry last updated
Feb 18, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.