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| Name | Class |
|---|---|
| Georgia Institute of Technology | OTHER |
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Dyskalemia, hypo- and hyperkalemia are common in the emergency department and are associated with increased morbidity and mortality.
The potential seriousness of dyskalemia results from the potential alteration of intracardiac conduction and the increase in cardiac rhythm disorders, all associated with a lethal risk. Given the aspecific symptoms of dyskalemia and the complex causal links to be acquired, it is difficult to judge the severity of the disorders in front of an initial clinical presentation of a patient in the emergency room, as the patient may present a serious condition during his stay in the emergency room, related to the dyskalemia and not prejudged at first. The ECG is recommended to judge the severity of the disorder, in association with the level of kalemia, but the electrical changes of its pattern in the context of dyskalemia are sometimes so fine that even the eye of the practitioner is not able to detect them. To date and to our knowledge, there is no tool for predicting the risk of RTA or death in dyskalemia. The existing studies on the subject, including ECGs, seek to detect dyskalemia and not its complications, and the proposed tools only take into account the ECG and not the clinical context of the patient.
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| Measure | Description | Time Frame |
|---|---|---|
| Number of participants with Cardiac arrest and/or rhythm disorder | Number of patients with Cardiac arrest and/or rhythm disorder within 48 hours of the ED visit | within 48 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Rate of Mortality | Rate of Mortality : all causes combined (SAU, hospitalization, SMUR, home) | within 48 hours |
| The type of received treatment for dyskalemia | The type of treatment received for dyskalemia (IV and what type, orally and what type) |
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Inclusion Criteria:
Exclusion Criteria:
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patients consulted in the emergency unit of the participating centre, with quality criteria for the EHCs; this cohort will validate the Artificial Intelligence method developed in partnership with the laboratory
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| Name | Affiliation | Role |
|---|---|---|
| Laure ABENSUR VUILLAUME, MD, PhD | CHR Metz Thionville Hopital de Mercy | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHR Metz-Thionville/Hopital de Mercy | Metz | 57085 | France |
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| ID | Term |
|---|---|
| D004630 | Emergencies |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| within 48 hours |