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The Diagnostic Value of the First Clinical Impression of Patients Presenting to the Emergency Department (PREKEYDIA)

NCT05597059 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1506

Last updated 2022-10-31

No results posted yet for this study

Summary

Finding a diagnosis for acutely ill patients places high demands on emergency medical personnel. While anamnesis and clinical examination provide initial indications and allow a tentative diagnosis, both laboratory chemistry and imaging tests are used to confirm (or exclude) the tentative diagnosis. The more precise and targeted the additional laboratory chemical or radiological diagnosis, the more quickly and economically the causal treatment of the emergency patient can be initiated.

One examination modality, which in addition to the medical history and clinical examination, could quickly provide information about the condition of the patient, their clinical picture and severity of illness, is the first clinical impression of the patient (so-called "first impression" or "end-of-bed view"). This describes the first sensory impression that the medical staff gathers from a patient. This includes visual (e.g., facial expression, gait, breathing), auditory (e.g., voice pitch, shortness of breath when speaking), and olfactory (e.g., smell of exhaled air, body odor) impressions. Clinical practice shows that a great deal of important additional information can be gathered through this first clinical impression, which, together with the history and clinical examination of the emergency patient, provides valuable clues to the underlying condition.

To date, however, only scattered data and study results exist in the medical literature on the value of the first clinical impression in the care of emergency patients. In the present prospective observational study, the study attempts to evaluate the predictive value of the first clinical impression in identifying a leading symptom and other important clinical parameters.

Conditions

  • Emergencies

Interventions

DIAGNOSTIC_TEST

Machine Learning Prediction

Machine Learning Prediction

Sponsors & Collaborators

  • Kepler University Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-09-01
Primary Completion
2020-02-28
Completion
2021-02-01

Countries

  • Austria

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05597059 on ClinicalTrials.gov