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Prediction Of Serious Adverse Event in Emergency Department With dysKAlemia, Retrospective Study (PODKA-R)

C

Centre Hospitalier Régional Metz-Thionville

Status

Completed

Conditions

Emergencies

Study type

Observational

Funder types

Other

Identifiers

NCT05788523
2023-01Obs-CHRMT

Details and patient eligibility

About

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.

Enrollment

500 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Major patient consulting in an emergency department participating in the study
  • who received at least a digital ECG AND an ionogram in the emergency department during the study period

Exclusion criteria

  • Patient who has expressed opposition to the reuse of their data for the study

Trial contacts and locations

1

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Central trial contact

Arpiné EL NAR, PhD

Data sourced from clinicaltrials.gov

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