CABG-patientsBRASCORE CABGNCT07293533
Brazilian System for Cardiac Operative Risk Evaluation CABG
An observational study of CABG-patients, run by University of Sao Paulo General Hospital at 5 sites in Brazil.
Trial summary
Grouping relevant demographic and clinical information at specific stratified levels, and in correlation with the required resource sets, represents the possibility to adapt, improve, and innovate in cardiac surgery programs. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- CABG-patients
- How many people
- 2,400 participants
- Where
- 5 sitesBrazil
- Study dates
- 1 Apr 2024to 30 Jul 2026
- How long will I take part?
- 30 Days
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: The study population will consist of all consecutive patients undergoing isolated CABG at the participating centers during the study period.
Who may be able to join
- Patients submitted to isolated coronary artery bypass grafting at participating centers
Who cannot join
- Emergency or salvage CABG procedures.
- Associated procedures (e.g., valve surgery, aortic surgery).
- Missing mandatory data in the registry.
Trial locations and contacts
5 sites in 1 country. Contact the study team or a site near you to ask about taking part.
5 sites in 1 country
Brazil5 sites
Hospital de Messejana
Fortaleza, Ceará
Hospital Alberto Urquiza Wanderley
João Pessoa, Paraíba, 58040-300
Instituto Nacional de Cardiologia de Laranjeiras
Rio de Janeiro, 22240-002
USP Heart Institute
São Paulo, São Paulo, 05403-900
Beneficência Portuguesa de São Paulo
São Paulo, 01323-001
About this study
Official title: Estratificação de Risco em Cirurgia de revascularização miocárdica no Brasil: CABG - BraSCORE (Brazilian System for Cardiac Operative Risk Evaluation)
Grouping relevant demographic and clinical information at specific stratified levels, and in correlation with the required resource sets, represents the possibility to adapt, improve, and innovate in cardiac surgery programs. In this path, the pursuit of implementing large databases for continuous improvement cycles becomes the foundation of the entire process. In Brazil, where structural and socioeconomic differences are significant, the standardization and sustainability of a large database become a major challenge. Projects like REPLICCAR (São Paulo Cardiovascular Surgery Registry) and BYPASS Registry, which were created to identify improvement opportunities, were temporary. The absence of a continuous multicenter registry makes it difficult to understand risk-adjusted patient outcomes and to implement cost-effective quality initiatives. For example, in 2022, the Ministry of Health launched the QualiSUS Cardio program, which began to consider hospital reimbursement not only in terms of surgical volume but also in relation to mortality, length of stay, and readmission rates after cardiac surgery. Changes like this already occur in various scenarios where payers, whether public or private, seek reimbursement through value-based models. However, for this to happen, the results need to be adjusted to patient risk. Otherwise, hospitals treating more severe patients would be at a disadvantage. This study aims to develop CABG-BraSCORE, a risk score to stratify patients referred for CABG surgery, adjusting outcomes to patient risk, and seeking continuous improvement for cardiac surgery programs in Brazil.
Read the detailed description
Study Procedure: Data collection will be conducted from patient records, including demographic characteristics, preoperative status, surgical and postoperative data of CABG surgery, and follow-up up to 30 days post-discharge.
Centers with prospective data collection: Participants will be contacted 30 days after surgery and invited to participate in the study. The Free and Informed Consent Form (FICF) will be applied via telephone (Appendix 1). All FICF sessions will be recorded, downloaded, and stored according to the established study protocols.
Centers with retrospective data collection: Thirty days after surgery, it should be recorded whether there was a return visit to the outpatient clinic, readmission to the institution, the reason for readmission, such as surgical complications, stroke, surgical wound infection, myocardial infarction, and mortality at 30 days. All records should be consulted in the patient's medical record. If there is no information recorded about the patient's return visit, loss to follow-up should be considered. A loss of 20% was considered for the sample composition.
After the telephone FICF, a questionnaire (Appendix 2, within the Cardux platform's "Post-discharge Events" section) will be applied to gather information regarding readmissions, death, adverse events, among others, within 30 days after hospital discharge.
Patient data will be entered into the Cardux platform according to study protocol variables.
All inclusion steps will be guided by the coordinating center, providing clarification about the study protocol and ensuring its compliance, respecting the ethical and legal principles of the study.
- Risks to Participants Participants will be exposed to minimal risk as this study will not involve interventions, only a single telephone interview. Therefore, no risks to participants are anticipated, as the data collection will be entirely retrospective and the consent forms will be stored confidentially.
- Benefits to Participants: Participants will not receive any direct benefit from participating in this study. However, in the future, they might benefit from improved risk stratification for CABG surgeries, contributing to enhanced patient care and resource allocation.
- Cardux Platform Cardux platform will be used for data management and analysis. This platform facilitates real-time monitoring and auditing of data, ensuring consistency and accuracy. The platform also supports predictive modeling and quality assessment.
- Quality Audit of Records: To ensure data quality, a series of audits will be conducted. These audits will involve checking data completeness, consistency, and accuracy. Discrepancies will be resolved through communication with the participating centers.
- Data analysis will include statistical methods to evaluate risk factors and develop the BraSCORE. The model's performance will be validated and compared with existing international risk scores (EuroSCORE III and STS)
- Development of Machine Learning Algorithms Machine learning algorithms will be employed to develop predictive models for hospital mortality, readmission risk, and prolonged hospitalization.
- Conditions
- CABG-patients
- Keywords
- Databases, Database Management Systems, Coronary Artery Bypass, Predictions
What is being measured
The primary outcome is the main question the study is designed to answer.
In-hospital mortality
death occurring at any point during the hospitalization for surgery, even if after 30 days
Measured: up to 3 months during hospital admission for CABG
30-day mortality
death occurring after discharge from the hospital, but within 30-days of the procedure
Measured: 30-days of the procedure
Secondary outcomes (2)
Prolonged Hospital Stay
Postoperative hospital stay longer than 14 days, excluding in-hospital deaths
Measured: postoperative hospital stay longer than 14 days
30-day readmission
any unplanned admission for any reason within 30-days of CABG surgery discharge
Measured: 30-days after surgery
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Dec 2025
- Study start1 Apr 2024
- Primary completion1 May 2026 (estimated)
- Study completion30 Jul 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for CABG-patientsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Other
- Enrolment
- 2,400 participants (estimated)
- Target duration
- 30 Days
Sponsor and investigators
- Lead sponsor
- University of Sao Paulo General Hospital
- Sponsor type
- University, hospital or other
- Collaborators
- Instituto Nacional de Cardiologia de Laranjeiras, Beneficência Portuguesa de São Paulo, Santa Casa de Misericórdia de Marília, Professor Fernando Figueira Integral Medicine Institute, Hospital do Coração de Messejana Dr. Carlos Alberto Studart, Instituto de Cardiologia do Rio Grande do Sul, Irmandade da Santa Casa de Misericordia de Curitiba, Hospital Universitário do Maranhão - MA, Hospital do Coração Alagoano Prof. Adib Jatene, Irmandade da Santa Casa de Misericordia de Sao Paulo, Hospital São Francisco de Assis na Providência de Deus - RJ, Hospital Universitario Pedro Ernesto, Cardiac Emergency Hospital of Pernambuco, Hospital Geral de Cuiabá, Hospital Beneficente Portuguesa de Belém, Pronto-Socorro Cardiológico Universitário de Pernambuco, Hospital Alberto Urquiza Wanderley de João Pessoa, Hospital e Maternidade Marieta Konder Bornhausen, Hospital Arquidiocesano Consul Carlos Renaux, Hospital Universitário São Francisco na Providência de Deus (HUSF), Hospital Regional de Jundiaí, Hospital Ruy Azeredo, Hospital de Base, Hospital São Vicente de Paulo, Hospital das Clínicas da UFMG, Hospital de Cirurgia, Hospital Universitário (USP Riberão Preto), Fundação Hospital do Coração Francisca Mendes, Hospital Dom Helder Câmara, Hospital Santa Casa de Curitiba, Hospital São Vicente de Paulo - Jundiai
- Responsible party
- Principal investigator, Omar Asdrúbal Vilca Mejia, University of Sao Paulo General Hospital
- Investigators
- BIANCA MARIA MAGLIA ORLANDI, Post doctoral resercher, Study director
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07293533
- Sponsor's protocol ID
- 76508623.2.1001.0068
- Other IDs
- 7.933.450
- Acronym
- BRASCORE CABG
- Status last verified
- Dec 2025
- First submitted
- 25 Nov 2025
- Last updated
- 19 Dec 2025
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: The Individual Participant Data (IPD) that support the findings of this study are not publicly available due to ethical restrictions imposed by the participating centers and the overseeing ethics committee (Comissão de Ética para Análise de Projetos de Pesquisa - CAPPesq). However, de-identified data may be made available to qualified researchers upon reasonable request, subject to approval by CAPPesq and the execution of a data sharing agreement.
Publications
Atik FA. Registries and Evidence-Based Medicine. Arq Bras Cardiol. 2024 Aug 2;121(6):e20240330. doi: 10.36660/abc.20240330. eCollection 2024. No abstract available. English, Portuguese.
PubMed 39109690
Study at a glance
From the registry record, last updated by the sponsor on 19 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Estratificação de Risco em Cirurgia de revascularização miocárdica no Brasil: CABG - BraSCORE (Brazilian System for Cardiac Operative Risk Evaluation)
- ClinicalTrials.gov ID
- NCT07293533
- Acronym / sponsor ID
- BRASCORE CABG / 76508623.2.1001.0068
- Conditions
- CABG-patients
- Keywords
- Databases, Database Management Systems, Coronary Artery Bypass, Predictions
- Study type
- Observational
- Recruitment status
- Enrolling by invitation
- Enrolment
- 2,400 participants (estimated)
- Lead sponsor
- University of Sao Paulo General HospitalUniversity, hospital or other
- Collaborators
- Instituto Nacional de Cardiologia de Laranjeiras, Beneficência Portuguesa de São Paulo, Santa Casa de Misericórdia de Marília, Professor Fernando Figueira Integral Medicine Institute, Hospital do Coração de Messejana Dr. Carlos Alberto Studart, Instituto de Cardiologia do Rio Grande do Sul, Irmandade da Santa Casa de Misericordia de Curitiba, Hospital Universitário do Maranhão - MA, Hospital do Coração Alagoano Prof. Adib Jatene, Irmandade da Santa Casa de Misericordia de Sao Paulo, Hospital São Francisco de Assis na Providência de Deus - RJ, Hospital Universitario Pedro Ernesto, Cardiac Emergency Hospital of Pernambuco, Hospital Geral de Cuiabá, Hospital Beneficente Portuguesa de Belém, Pronto-Socorro Cardiológico Universitário de Pernambuco, Hospital Alberto Urquiza Wanderley de João Pessoa, Hospital e Maternidade Marieta Konder Bornhausen, Hospital Arquidiocesano Consul Carlos Renaux, Hospital Universitário São Francisco na Providência de Deus (HUSF), Hospital Regional de Jundiaí, Hospital Ruy Azeredo, Hospital de Base, Hospital São Vicente de Paulo, Hospital das Clínicas da UFMG, Hospital de Cirurgia, Hospital Universitário (USP Riberão Preto), Fundação Hospital do Coração Francisca Mendes, Hospital Dom Helder Câmara, Hospital Santa Casa de Curitiba, Hospital São Vicente de Paulo - Jundiai
- Study start
- 1 Apr 2024 (actual)
- Primary completion
- 1 May 2026 (estimated)
- Study completion
- 30 Jul 2026 (estimated)
- First posted
- 19 Dec 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Grouping relevant demographic and clinical information at specific stratified levels, and in correlation with the required resource sets, represents the possibility to adapt, improve, and innovate in cardiac surgery programs. In this path, the pursuit of implementing large databases for continuous improvement cycles becomes the foundation of the entire process. In Brazil, where structural and socioeconomic differences are significant, the standardization and sustainability of a large database become a major challenge. Projects like REPLICCAR (São Paulo Cardiovascular Surgery Registry) and BYPASS Registry, which were created to identify improvement opportunities, were temporary. The absence of a continuous multicenter registry makes it difficult to understand risk-adjusted patient outcomes and to implement cost-effective quality initiatives. For example, in 2022, the Ministry of Health launched the QualiSUS Cardio program, which began to consider hospital reimbursement not only in terms of surgical volume but also in relation to mortality, length of stay, and readmission rates after cardiac surgery. Changes like this already occur in various scenarios where payers, whether public or private, seek reimbursement through value-based models. However, for this to happen, the results need to be adjusted to patient risk. Otherwise, hospitals treating more severe patients would be at a disadvantage. This study aims to develop CABG-BraSCORE, a risk score to stratify patients referred for CABG surgery, adjusting outcomes to patient risk, and seeking continuous improvement for cardiac surgery programs in Brazil.
Detailed description
Study Procedure: Data collection will be conducted from patient records, including demographic characteristics, preoperative status, surgical and postoperative data of CABG surgery, and follow-up up to 30 days post-discharge.
Centers with prospective data collection: Participants will be contacted 30 days after surgery and invited to participate in the study. The Free and Informed Consent Form (FICF) will be applied via telephone (Appendix 1). All FICF sessions will be recorded, downloaded, and stored according to the established study protocols.
Centers with retrospective data collection: Thirty days after surgery, it should be recorded whether there was a return visit to the outpatient clinic, readmission to the institution, the reason for readmission, such as surgical complications, stroke, surgical wound infection, myocardial infarction, and mortality at 30 days. All records should be consulted in the patient's medical record. If there is no information recorded about the patient's return visit, loss to follow-up should be considered. A loss of 20% was considered for the sample composition.
After the telephone FICF, a questionnaire (Appendix 2, within the Cardux platform's "Post-discharge Events" section) will be applied to gather information regarding readmissions, death, adverse events, among others, within 30 days after hospital discharge.
Patient data will be entered into the Cardux platform according to study protocol variables.
All inclusion steps will be guided by the coordinating center, providing clarification about the study protocol and ensuring its compliance, respecting the ethical and legal principles of the study.
- Risks to Participants Participants will be exposed to minimal risk as this study will not involve interventions, only a single telephone interview. Therefore, no risks to participants are anticipated, as the data collection will be entirely retrospective and the consent forms will be stored confidentially.
- Benefits to Participants: Participants will not receive any direct benefit from participating in this study. However, in the future, they might benefit from improved risk stratification for CABG surgeries, contributing to enhanced patient care and resource allocation.
- Cardux Platform Cardux platform will be used for data management and analysis. This platform facilitates real-time monitoring and auditing of data, ensuring consistency and accuracy. The platform also supports predictive modeling and quality assessment.
- Quality Audit of Records: To ensure data quality, a series of audits will be conducted. These audits will involve checking data completeness, consistency, and accuracy. Discrepancies will be resolved through communication with the participating centers.
- Data analysis will include statistical methods to evaluate risk factors and develop the BraSCORE. The model's performance will be validated and compared with existing international risk scores (EuroSCORE III and STS)
- Development of Machine Learning Algorithms Machine learning algorithms will be employed to develop predictive models for hospital mortality, readmission risk, and prolonged hospitalization.
Study design
- Observational model
- Cohort
- Time perspective
- Other
- Target follow-up
- 30 Days
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- The study population will consist of all consecutive patients undergoing isolated CABG at the participating centers during the study period.
Key inclusion criteria (1 listed)
- Patients submitted to isolated coronary artery bypass grafting at participating centers
Key exclusion criteria (3 listed)
- Emergency or salvage CABG procedures.
- Associated procedures (e.g., valve surgery, aortic surgery).
- Missing mandatory data in the registry.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
In-hospital mortality
Time frame: up to 3 months during hospital admission for CABG
death occurring at any point during the hospitalization for surgery, even if after 30 days
30-day mortality
Time frame: 30-days of the procedure
death occurring after discharge from the hospital, but within 30-days of the procedure
2 secondary outcomes
Prolonged Hospital Stay
Time frame: postoperative hospital stay longer than 14 days
30-day readmission
Time frame: 30-days after surgery
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Dec 2025.
- Background: PubMed 39109690Atik FA. Registries and Evidence-Based Medicine. Arq Bras Cardiol. 2024 Aug 2;121(6):e20240330. doi: 10.36660/abc.20240330. eCollection 2024. No abstract available. English, Portuguese.
- Individual participant dataSharing planned: Undecided. The Individual Participant Data (IPD) that support the findings of this study are not publicly available due to ethical restrictions imposed by the participating centers and the overseeing ethics committee (Comissão de Ética para Análise de Projetos de Pesquisa - CAPPesq). However, de-identified data may be made available to qualified researchers upon reasonable request, subject to approval by CAPPesq and the execution of a data sharing agreement.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
BIANCA MARIA MAGLIA ORLANDI, Post doctoral resercher study director
5 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of CABG-patients, run by University of Sao Paulo General Hospital at 5 sites in Brazil.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 19 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 5 sites in Brazil. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
In-hospital mortality (time frame: up to 3 months during hospital admission for CABG). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07293533, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 Dec 2025.