Clinical trial NCT04682756: A Multicenter Study on Early Diagnosis of NSTE-ACS Patients Based on Machine Learning Model
Official title: A Multicenter Study on Early Diagnosis of NSTE-ACS Patients Based on Machine Learning Model
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: NSTEMI - Non-ST Segment Elevation MI
Unstable Angina
Keywords: NSTEMI
UA
Machine Learning
Lead sponsor: First Affiliated Hospital of Xinjiang Medical University
Sponsor class: OTHER
Collaborators: name: Shihezi University
First posted: 2020-12-24
Enrollment: 2500
Sex: ALL
Minimum age (years): 18
Maximum age (years): 75
Standard ages: ADULT
OLDER_ADULT
Observational model: CASE_CONTROL
Time perspective: OTHER
Sampling method: PROBABILITY_SAMPLE
Study population: Patients with NSTEMI and UA were included in the Chest Pain Center of the First Affiliated Hospital of Xinjiang Medical University and the First Affiliated Hospital of Medical College of Shihezi University from 2017 to 2019.

Brief summary: Early diagnosis of NSTEMI and UA patients is mainly through the construction of machine learning model.

Detailed description: The patients with NSTEMI and UA were included. After manual labeling, the admiss- ion record characteristics of patients were selected. 75% of the data is used to build the model, and 25% of the data is used to verify the validity of the model. Five classification models of one-dimensional convolution (CNN), naive Bayesian (NB), support vector machine (SVM), random forest (RF) and ensemble learning were constructed to identify and diagnose NSTEMI and UA patients. Multi-fold cross-validation and ROC-AUC curve are used to measure the advantages and disadvantages of the models.

Eligibility criteria: Inclusion Criteria:

* Patients were included and excluded strictly according to the diagnostic criteria of Chinese guidelines for diagnosis and treatment of Non-STsegment elevation acute coronary syndrome (2016). The patients were admitted to the hospital with chest pain as the main complaint, and were admitted to the first affiliated Hospital of Xinjiang Medical University and the first affiliated Hospital of Medical College of Shihezi Univ- ersity. the patients were diagnosed as NSTEMI and UA by coronary angiography (age range from 30 to 75 years old).

Exclusion Criteria:

- 1. Patients with STEMI, aortic dissecting aneurysm, pneumothorax and other non-cardiogenic chest pain. 2.Severe hepatorenal failure, primary tumor without surgical treatment, non-severe infection complicated with shock and pregnant women. 3.Previous severe valvular disease, viral myocarditis, pericardial effusion, cardiac pacemaker implantation, cardiogenic shock with serious complications, hypertensive heart disease, various cardiomyopathy, congenital heart disease, etc.

4.Patients with heart disease, AECOPD, lung tumor and hyperthyroidism were diagnosed in the past.

Primary outcomes:
measure: Accurate diagnosis of NSTEMI from patients with acute chest pain
timeFrame: Within 1 year
Secondary outcomes:
Other outcomes:
Locations:
city: Ürümqi
country: China
facility: The first affiliated Hospital of Xinjiang Medical University
state: Xinjiang
Study officials:
affiliation: First Affiliated Hospital of Xinjiang Medical University
name: Aikeliyaer Ainiwaer, M.D
role: PRINCIPAL_INVESTIGATOR
affiliation: College of Information and Technology, Shihezi University
name: Quan Qi, Ph.D
role: STUDY_DIRECTOR
affiliation: First Affiliated Hospital of Xinjiang Medical University
name: Yi Ying Du, M.D
role: PRINCIPAL_INVESTIGATOR
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