- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT05028686
Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence (PROBE AI)
연구 개요
상세 설명
There is substantial need to better predict outcomes across the spectrum of heart failure (HF) phenotypes in order to provide more efficient care with greater precision. Specifically, no validated methods have been adopted to predict outcomes reflecting transitions in health status across the continuum of HF and changes in cardiac function. A key transition is hospitalization - either readmission or de novo cardiovascular hospital admission. This is a major unmet health care need, to be able to better predict who will require hospital admission.
Novel contributions of biomarkers, -omics, remote patient monitoring, and artificial intelligence (AI). It is anticipated that prediction of readmission and many other outcomes will be further improved by measurement of circulating biomarkers and by incorporating methods from AI including machine learning and probabilistic generative models that can incorporate the lens of how physicians and patients think. Machine learning that incorporates many different types of data, including physician interpretation and a broad array of biomarker/-omics molecular information can lead to significant improvements in predictive accuracy. Novel multimarker strategies coupled with machine learning may enable the ability of physicians to predict a range of outcomes (e.g., transitions in HF health status and LVEF) and refine clinical prediction models. Furthermore, the investigators will collect patient data, including patient reported outcome measures (PROMs), and physiological data (e.g. heart rate, blood pressure, and daily weights data) and integrate these data points into predictive models. The investigators will use the PROMs obtainable using Medly as a predictor of hospitalization, and as an outcome. In this proposal, the investigators will take advantage of recent advances in both deep and high throughput proteomics technologies to perform high-resolution analyses. These novel factors can be integrated into new electronic algorithms to improve HF care in the population.
연구 유형
등록 (예상)
연락처 및 위치
연구 연락처
- 이름: Douglas S Lee, MD, PhD
- 전화번호: 4163403861
- 이메일: dlee@ices.on.ca
연구 연락처 백업
- 이름: Suzanne Perrett
- 전화번호: 4164804055
- 이메일: suzanne.perrett@ices.on.ca
연구 장소
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Ontario
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Toronto, Ontario, 캐나다
- 모병
- University Health Network
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연락하다:
- Douglas Lee, MD, PhD
- 전화번호: 416-340-3861
- 이메일: dlee@ices.on.ca
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연락하다:
- Desana Thayaparan, BSc
- 전화번호: 416-340-3721
- 이메일: desana.thayaparan@uhn.ca
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
설명
Inclusion Criteria:
- Any patient aged 18 years or older admitted to hospital or seen in the emergency department with heart failure defined clinically
- The diagnosis will be guided by the Framingham criteria for HF and/or BNP. A BNP >400 will be defined as definite heart failure and BNP 100-400 classified as possible heart failure.
- Provides informed consent
Exclusion Criteria:
- Patients who cannot communicate due to dementia or severe cognitive deficits
- non-Ontario residents
- nursing home residents
- those who are not discharged home but are discharged to a skilled nursing facility (long-term care or chronic institution)
- those who are unable to communicate who do not have a proxy (e.g. spouse or close family member) to facilitate communication with the patient.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
코호트 및 개입
그룹/코호트 |
개입 / 치료 |
---|---|
Hospitalized heart failure cohort
Patients hospitalized with heart failure
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Observational cohort
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
---|---|---|
Cardiovascular readmission
기간: 30 day
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Non-elective readmission to hospital for a cardiovascular cause
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30 day
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Heart failure readmission
기간: 30 day
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Non-elective readmission to hospital for heart failure
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30 day
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
---|---|---|
Mortality
기간: 30-day
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All-cause death
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30-day
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Cardiovascular death
기간: 30-day
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Death from cardiovascular causes
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30-day
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All-cause readmission
기간: 30-day
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Non-elective readmission to hospital for a any reason
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30-day
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공동 작업자 및 조사자
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (예상)
연구 완료 (예상)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .
심부전에 대한 임상 시험
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Medical University of BialystokInstitute of Cardiology, Warsaw, Poland; Medical University of Lodz; Poznan University of... 그리고 다른 협력자들아직 모집하지 않음심부전, 수축기 | 박출률이 감소된 심부전 | 심부전 New York Heart Association Class IV | 심부전 New York Heart Association Class III폴란드
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Novartis Pharmaceuticals완전한핵심 연구의 12개월 치료 기간을 성공적으로 완료한 환자(de Novo Heart Recipients)는 EC-MPS 치료에 관심이 있었습니다.
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University of WashingtonAmerican Heart Association완전한심부전,울혈 | 미토콘드리아 변경 | 심부전 New York Heart Association Class IV미국
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Otsuka Pharmaceutical Factory, Inc.Celerion완전한
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