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| ID | Type | Description | Link |
|---|---|---|---|
| 5R01HL143070 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| Mayo Clinic | OTHER |
| The Cleveland Clinic | OTHER |
| University of Colorado, Denver | OTHER |
| National Heart, Lung, and Blood Institute (NHLBI) |
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To assess the ability of common genetic variants in aggregate to predict drug-induced QT prolongation in patients being loaded with dofetilide or sotalol.
This study is a multi-center study attempting to identify genetic and other factors that influence QT interval response to dofetilide or sotalol. One of the goals of this study is to determine whether genetics might identify individuals at low enough genetic risk for QT prolongation that outpatient initiation might be feasible. The dofetilide or sotalol use will be solely determined by clinical staff independent of the research study based on standard clinical care. The research components of this study include only the additional collection of blood for genetic analysis, collection of subject data on a CRF and copies of electrocardiograms performed as part of routine clinical care. This study will be overseen and coordinated at MGH. Other hospitals that may participate include Mayo Clinic, Cleveland Clinic, and University of Colorado Hospital; local IRB approval will be sought at each of these centers. Data will be collected at each individual hospital by co-investigators/site PIs and stored locally according to IRB requirements. Copies of CRFs, ECGs and blood samples for genetic analysis will be forwarded to MGH, which will serve as a coordinating and analysis center (as well as a recruiting center). Data will be encoded where possible; however, due to the impracticality of removing patient identifiers from certain data types, such as medication lists and ECGs, some data containing patient information will be transported and stored at MGH. Dr. Newton-Cheh will serve as overall study PI.
The investigators propose to conduct a research study to examine known and explore potentially unknown genetic predictors of QT response in patients being admitted for dofetilide or sotalol initiation as part of their routine clinical care. Any patient being admitted to a participating institution for the purpose of dofetilide or sotalol initiation will be eligible. Patients must be able to understand the risks of genetic testing, and be willing to undergo a venipuncture for blood collection for genotyping. Exclusion criteria include inability to provide informed consent. The investigators have a goal to enroll a total of 1000 study participants across all collaborating centers.
Patients will be identified by investigators based on planned admission for dofetilide or sotalol initiation, and following explanation of the study by co-investigator, will be asked about study participation and informed consent will be obtained. Investigators will complete a data collection form for each patient, which will include contact information, demographic information, clinical information, family history and pedigree, and all electrocardiography information available (tracings, reports). Patients will then undergo venipuncture, and two 5mL blood samples (tubes) will be collected for genotyping. Patients will also be consented for future re-contact about additional data, information, or samples needed for analysis.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Dofetilide patients | Patients admitted for dofetilide initiation |
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| Sotalol patients | Patients admitted for sotalol initiation |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Dofetilide and/or sotalol | Drug | This is an observational study of patients receiving Dofetilide and/or sotalol as part of their routine clinical care. Patients receiving either of these medications will be compared with population controls for genetic analysis. |
| Measure | Description | Time Frame |
|---|---|---|
| QT interval | QT interval will be measured on electrocardiograms, and recorded in the case report form | QT intervals will be measured on each ECG obtained during the index hospitalization |
| Measure | Description | Time Frame |
|---|---|---|
| Successful drug initiation | This outcome will be recorded in the case report form | Patient will be followed for the duration of the hospitalization, which is on average 3 days |
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Inclusion Criteria:
Exclusion Criteria:
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All patients admitted for dovetailed or sotalol initiation for clinical purposes.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Christopher Newton-Cheh, MD, MPH | Contact | 617-724-6158 | cnewtoncheh@mgh.harvard.edu | |
| Elizabeth Farland, BS | Contact | 617-643-6328 | efarland@mgh.harvard.edu |
| Name | Affiliation | Role |
|---|---|---|
| Christopher Newton-Cheh, MD, MPH | Massachusetts General Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Colorado Hospital | Recruiting | Aurora | Colorado | 80045 | United States |
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| ID | Term |
|---|---|
| D008133 | Long QT Syndrome |
| D064420 | Drug-Related Side Effects and Adverse Reactions |
| ID | Term |
|---|---|
| D001145 | Arrhythmias, Cardiac |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D000075224 | Cardiac Conduction System Disease |
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| ID | Term |
|---|---|
| C063533 | dofetilide |
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| NIH |
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Blood samples for DNA extraction
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| Massachusetts General Hospital | Recruiting | Boston | Massachusetts | 02114 | United States |
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| Beth Israel Deaconess Medical Center | Completed | Boston | Massachusetts | 02215 | United States |
| Mayo Clinic | Recruiting | Rochester | Minnesota | 55902 | United States |
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| Cleveland Clinic | Recruiting | Cleveland | Ohio | 44195 | United States |
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| D006330 | Heart Defects, Congenital |
| D018376 | Cardiovascular Abnormalities |
| D000013 | Congenital Abnormalities |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D064419 | Chemically-Induced Disorders |