Clinical trial NCT06918353: The Severity Assessment Model for AECOPD With Combination of Disease and Syndrome
Official title: Construction and Evaluation of the Severity Assessment Model for AECOPD With Combination of Disease and Syndrome Based on Machine Learning
Study type: OBSERVATIONAL
Overall status: NOT_YET_RECRUITING
Conditions: Acute Exacerbation of Chronic Obstructive Pulmonary Disease
Keywords: Acute Exacerbation of Chronic Obstructive Pulmonary Disease
Severity Assessment Model
Combination of Disease and Syndrome
Classification and Regression Trees
Artificial Neural Network
Lead sponsor: Henan University of Traditional Chinese Medicine
Sponsor class: OTHER
Collaborators: name: The First Affiliated Hospital of Henan University of Traditional Chinese Medicine
name: Henan Provincial People's Hospital
name: Third Affiliated Hospital of Henan University of Traditional Chinese Medicine
name: Jiangsu province hospital of TCM
name: Qingdao Traditional Chinese Medicine Hospital(Qingdao Hiser Hospital)
name: Xiangyang Traditional Chinese Medicine Hospital
name: Yanshi People's Hospital of Luoyang City
name: Shangcai County Traditional Chinese Medicine Hospital
First posted: 2025-04-09
Enrollment: 1500
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: CASE_ONLY
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Brief summary: The establishment of the AECOPD severity assessment model can quickly and accurately evaluate the condition, which is of great significance for standardizing diagnosis and treatment, improving efficacy, and improving prognosis. At the same time, it can provide ideas and methods for the research of disease assessment models in related fields.

Detailed description: Accurate assessment of the condition is the prerequisite and basis for standardized clinical treatment. Traditional Chinese medicine has shown good efficacy and advantages in treating AECOPD, but currently there is no ideal standard for judging the severity, nor is there an accurate, practical, and TCM specific disease assessment tool. Therefore, this project integrates multidimensional variables of traditional Chinese and Western medicine, and intends to conduct research on the construction of a disease syndrome combined AECOPD disease assessment model through literature review, expert consultation, clinical investigation, and machine learning algorithms, and establish preliminary grading standards for the severity of AECOPD disease. Ultimately, it provides ideas and methods for the rapid and accurate assessment of AECOPD, standardized diagnosis and treatment, improved efficacy, improved prognosis, and research on disease assessment models in related fields.

Eligibility criteria: Inclusion Criteria:

* Meets AECOPD diagnostic criteria.
* Voluntarily participate in the research and sign the consent form

Exclusion Criteria:

* Individuals with severe mental disorders and cognitive impairments who are unable to communicate normally

Primary outcomes:
measure: Clinical Investigation Questionnaire on Influencing Factors of the Severity of AECOPD
timeFrame: 24 hours
Secondary outcomes:
Other outcomes:
Locations:
city: Zhengzhou
country: China
facility: The First Affiliated Hospital of Henan University of Traditional Chinese Medicine
state: Henan
Study officials:
References: