Computerized Medical History Taking for Acute Chest Pain

NCT ID: NCT03439449

Last Updated: 2025-03-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

2000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-05-01

Study Completion Date

2025-12-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The aim is to determine the additional value of computerized, patient-entered medical histories for the management of patients presenting at the emergency department with chest pain.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

The purpose of this study is to determine the value of a detailed medical history, acquired by computer-directed, patient self-entry of data, for efficient disposition of patients presenting to the emergency department (ED) with chest pain and non-diagnostic first ECG and/or serum markers for acute coronary syndrome (ACS). The research questions posed are: will the added data and systems-based analysis of the data provided by computerization of these processes, as compared with routine physician-acquired histories and analysis; (1) safely risk stratify patients with chest pain, and (2) save time and resources?

Computerized, patient-entered histories will be collected with the software program CLEOS running on tablets (iPad®, Apple Inc, Cupertino, California, USA). The histories to be collected include demographic data, present illness, systems review, past medical history, prescription drugs, previous adverse drug reactions, social history, life-style risks, and family history. Histories will be collected during wait times in the ED, e.g., before patients are seen by a physician and while patients wait for reports of laboratory data collected by routine care.

Data acquired by CLEOS will be related to clinical outcomes in the acute setting and at 30 days and 1 year post-presentation for patients without documented ACS in the acute setting. Outcomes for all patients will be extracted from hospital records and national registries.

For the validation and future development of CLEOS, interviews with patients for the evaluation of patient experience regarding feasibility, acceptance, comprehensiveness and technical aspects of answering the CLEOS interview will take place within one to three months after the ED visit.

This is an exploratory study in which the calculation of the number of participating patients is based on the desired precision of sensitivity and specificity. Assuming that the prevalence is 0.5 (50 %), a power calculation with nQuery® version 7.0 (Statistical Solutions Ltd, Boston, Massachusetts, USA) shows that with 1000 patients the estimated precision of sensitivity and specificity is ±0.03 (3 %). The more the extreme the result, i.e. sensitivity or specificity approaching 0 or 1 (100 %), the higher the precision. The models will be developed in the first 50% of the data acquired (training data set) and validated in the last 50% of the data acquired (validation data set). We also intend to make estimates in subgroups. To ascertain that such estimates can be done, an even larger number of patients must be recruited. Thus, the study intends to recruit data from approximately 2000 patients.

Taken together, this study:

1. will evaluate established clinical guidelines risk scores, as populated with CLEOS data, and compare these results with data obtained during the concurrent ED visit and made available in the standard hospital medical records;
2. will assess how data collected with CLEOS in combination with established risk scores can rule-in and rule-out a diagnosis of an ACS, we will calculate sensitivity, specificity and negative and positive predictive value;
3. aim to develop new risk prediction scores for patients with chest pain, based on data collected with CLEOS; and
4. will evaluate economic aspects of routine care, as compared with management by CLEOS by using standard health economy procedures and analyses to determine the resource utilization and cost differences between management according to guidelines, based on data collected with CLEOS, and current clinical practice.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Chest Pain Acute Coronary Syndrome

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

CLEOS software program

Computer-assisted history taking program

Intervention Type DEVICE

Physician taken history

Conventional history taking by physicians

Intervention Type PROCEDURE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Chest pain recorded by a triage nurse or registrar
* Fluency in Swedish or English
* Non-diagnostic first ECG and/or serum markers
* Manchester triage 2-5
* Informed consent

Exclusion Criteria

* Inability to carry out computerized history-taking on the dedicated device
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Karolinska Institutet

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Thomas Kahan

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Thomas Kahan, MD, PhD

Role: STUDY_CHAIR

Karolinska Institutet

Helge Brandberg, MD

Role: STUDY_DIRECTOR

Karolinska Institutet

Sabine Koch, PhD

Role: STUDY_DIRECTOR

Karolinska Institutet

Jonas Spaak, MD, PhD

Role: STUDY_DIRECTOR

Karolinska Institutet

Carl Johan Sundberg, MD, PhD

Role: STUDY_DIRECTOR

Karolinska Institutet

David Zakim, MD, PhD

Role: STUDY_DIRECTOR

Karolinska Institutet

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Danderyd University Hospital Corp.

Stockholm, , Sweden

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Sweden

References

Explore related publications, articles, or registry entries linked to this study.

Brandberg H, Sundberg CJ, Spaak J, Koch S, Kahan T. Are medical history data fit for risk stratification of patients with chest pain in emergency care? Comparing data collected from patients using computerized history taking with data documented by physicians in the electronic health record in the CLEOS-CPDS prospective cohort study. J Am Med Inform Assoc. 2024 Jun 20;31(7):1529-1539. doi: 10.1093/jamia/ocae110.

Reference Type RESULT
PMID: 38781350 (View on PubMed)

Sundberg K, Adeli A, Brandberg H, Spaak J, Koch S, Sundberg CJ, Zakim D, Kahan T, Fritzell K. User experience of self-reported computerized medical history taking for acute chest pain: The Clinical Expert Operating System Chest Pain Danderyd Study. Health Expect. 2022 Dec;25(6):3053-3061. doi: 10.1111/hex.13612. Epub 2022 Sep 23.

Reference Type RESULT
PMID: 36148691 (View on PubMed)

Brandberg H, Schierenbeck F, Sundberg CJ, Koch S, Spaak J, Kahan T. Performance of computerized self-reported medical history taking and HEAR score for safe early rule-out of cardiac events in acute chest pain patients: the CLEOS-CPDS prospective cohort study. Eur Heart J Digit Health. 2024 Nov 12;6(1):104-114. doi: 10.1093/ehjdh/ztae087. eCollection 2025 Jan.

Reference Type DERIVED
PMID: 39846077 (View on PubMed)

Zakim D, Brandberg H, El Amrani S, Hultgren A, Stathakarou N, Nifakos S, Kahan T, Spaak J, Koch S, Sundberg CJ. Computerized history-taking improves data quality for clinical decision-making-Comparison of EHR and computer-acquired history data in patients with chest pain. PLoS One. 2021 Sep 27;16(9):e0257677. doi: 10.1371/journal.pone.0257677. eCollection 2021.

Reference Type DERIVED
PMID: 34570811 (View on PubMed)

Brandberg H, Sundberg CJ, Spaak J, Koch S, Zakim D, Kahan T. Use of Self-Reported Computerized Medical History Taking for Acute Chest Pain in the Emergency Department - the Clinical Expert Operating System Chest Pain Danderyd Study (CLEOS-CPDS): Prospective Cohort Study. J Med Internet Res. 2021 Apr 27;23(4):e25493. doi: 10.2196/25493.

Reference Type DERIVED
PMID: 33904821 (View on PubMed)

Brandberg H, Kahan T, Spaak J, Sundberg K, Koch S, Adeli A, Sundberg CJ, Zakim D. A prospective cohort study of self-reported computerised medical history taking for acute chest pain: protocol of the CLEOS-Chest Pain Danderyd Study (CLEOS-CPDS). BMJ Open. 2020 Jan 21;10(1):e031871. doi: 10.1136/bmjopen-2019-031871.

Reference Type DERIVED
PMID: 31969363 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

KI-CLEOS-CPDS

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Role of Oxytocin in Myocardial Infarction
NCT03001635 UNKNOWN PHASE2/PHASE3