NCT03286491

Brief Summary

Acute coronary syndromes are among main complains for patients presenting to emergency department. Risk classification systems are used to classify patients to appropriate risks and help physicians manage diagnosis strategies and treatments. Purpose of this study is to develop a clinical decision support system for patients presenting to emergency department with the help of statistical machine learning.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
400

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Aug 2017

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

August 12, 2017

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

September 15, 2017

Completed
3 days until next milestone

First Posted

Study publicly available on registry

September 18, 2017

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 12, 2017

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

February 1, 2018

Completed
Last Updated

September 18, 2017

Status Verified

September 1, 2017

Enrollment Period

4 months

First QC Date

September 15, 2017

Last Update Submit

September 15, 2017

Conditions

Keywords

acute coronary syndrome, risk classification, 30 day adverse event, clinical decision support system

Outcome Measures

Primary Outcomes (1)

  • Non fatal myocardial infarction, cardiac related death or coronary intervention in 30 days

    Patients will be screened for 30 days for Non fatal myocardial infarction, cardiac related death or coronary intervention (coronary angiogram, coronary artery bypass surgery)

    30 days

Study Arms (1)

Patients presenting with acute coronary syndrome

Patients presenting to emergency department with acute coronary syndrome

Diagnostic Test: Further cardiac imaging

Interventions

Study patients will be reviewed whether they will have coronary interventions in 30 days

Patients presenting with acute coronary syndrome

Eligibility Criteria

Age18 Years+
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Patients presenting to emergency deparmtent with acute chest pain consistent with acute coronary syndrome will be included for analysis.

You may qualify if:

  • Presenting to emergency department with acute chest pain consistent with acute coronary syndrome

You may not qualify if:

  • Patients with less than 18 years old
  • Patients presenting with ST-segment elevation myocardial infarction
  • Patients presenting with other causes of acute chest pain (pneumothorax, pulmonary -embolism, aortic dissection
  • Decline to participate in study

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Izmir Bozyaka Training and Research Hospital

Izmir, 35000, Turkey (Türkiye)

RECRUITING

MeSH Terms

Conditions

Acute Coronary Syndrome

Condition Hierarchy (Ancestors)

Myocardial IschemiaHeart DiseasesCardiovascular DiseasesVascular Diseases

Central Study Contacts

Nesli Belen, M.D.

CONTACT

Serhat Akay, M.D.

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
M.D.

Study Record Dates

First Submitted

September 15, 2017

First Posted

September 18, 2017

Study Start

August 12, 2017

Primary Completion

December 12, 2017

Study Completion

February 1, 2018

Last Updated

September 18, 2017

Record last verified: 2017-09

Data Sharing

IPD Sharing
Will not share

Locations