Prediction Of Serious Adverse Event in Emergency Department With dysKAlemia, Retrospective Study

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05788523

Acronym

PODKA-R

Enrollment

500

Registered

2023-03-29

Start date

2023-01-02

Completion date

2023-12-31

Last updated

2025-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Emergencies

Keywords

artificial intelligence, kalemia, dyskalemia

Brief summary

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

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

Design outcomes

Primary

Measure	Time frame	Description
Number of participants with Cardiac arrest and/or rhythm disorder	within 48 hours	Number of patients with Cardiac arrest and/or rhythm disorder within 48 hours of the ED visit

Secondary

Measure	Time frame	Description
Rate of Mortality	within 48 hours	Rate of Mortality : all causes combined (SAU, hospitalization, SMUR, home)
The type of received treatment for dyskalemia	within 48 hours	The type of treatment received for dyskalemia (IV and what type, orally and what type)

Countries

France

Outcome results