跳至主要内容
临床试验/NCT07374172
NCT07374172进行中(未招募)不适用

SADT in COPD and Oscillometry in Obstructive Airway Disease in Primary Care. The SCOOP-study

General Practitioners Research Institute1 个研究点 分布在 1 个国家目标入组 108 人开始时间: 2024年5月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
进行中(未招募)
发起方
入组人数
108
试验地点
1
主要终点
The predictive value of SADT-c for detecting SAD in patients with COPD.

研究概览

简要总结

Rationale: The Small Airways are a major site of obstruction in many respiratory diseases, including COPD. More insight into a diagnosis of Small Airways Dysfunction (SAD) in patients with COPD is clinically valuable as it might enable tailored pharmacotherapy. Currently, methods to diagnose SAD in COPD are not standardized and are not available in routine clinical practice. The Small Airways Dysfunction Tool (SADT) was developed to identify patients with asthma and SAD. Initially, the SADT included a comprehensive 63-item questionnaire. The number of items has been reduced to a SADT-asthma (SADT a) questionnaire and key patient and disease characteristics for it to be feasible and implementable in clinical practice. Although there are many similarities between asthma and COPD, there might be differences in clinical characteristics and responses to small airways dysfunction between the two diseases. The current study aims to adapt the original 63-item SADT questionnaire for dedicated use in COPD by reducing the number of items, and identifying COPD-SAD-specific items, to enhance its efficiency in identifying SAD when combined with key patient and disease characteristics in individuals with COPD (SADT-c). In addition, a comparison of diagnostic accuracy of spirometry and oscillometry will be made by interpretations by a panel of experts to provide a triage diagnosis. The previously developed machine learning AC/DC tool will be used to explore its diagnostic accuracy using oscillometry and spirometry results. This can contribute to standardizing oscillometry in clinical practice.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Cross Sectional

入排标准

年龄范围
35 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Suspected of having COPD, asthma or ACO as indicated by the referring GP OR a previous diagnosis of COPD

排除标准

  • Inability to understand and sign the written informed consent form.

研究组 & 干预措施

Participants with Small Airway Disease

干预措施: Oscillometer ALDS (Diagnostic Test)

Participants without Small Airway Disease

干预措施: Oscillometer ALDS (Diagnostic Test)

结局指标

主要结局

The predictive value of SADT-c for detecting SAD in patients with COPD.

时间窗: At baseline study visit, during pulmonary function testing

To determine whether SADT-c can be used in patients with COPD to detect SAD.

次要结局

  • To determine whether oscillometry and spirometry are equally effective for triage diagnosis in patients in primary care with respiratory symptoms.(At baseline study visit, during initial diagnostic assessment in primary care)
  • Assess the diagnostic performance of the Asthma/COPD Differentiation Classification (AC/DC) Tool.(At baseline study visit, with expert panel diagnosis based on data collected during the study assessment)
  • Predictive value of SADT-a bronze model for SAD in COPD.(At baseline study visit, during pulmonary function testing)
  • Develop SADT-c.(At baseline study visit, using data collected during pulmonary function testing and clinical assessment)
  • To evaluate how SADT-c compares to SADT-a.(At baseline study visit, during pulmonary function testing)

研究者

发起方
General Practitioners Research Institute
申办方类型
Network
责任方
Sponsor

研究点 (1)

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