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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT05597059
Other study ID # PREKEYDIA
Secondary ID
Status Completed
Phase
First received
Last updated
Start date September 1, 2019
Est. completion date February 1, 2021

Study information

Verified date October 2022
Source Kepler University Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


Recruitment information / eligibility

Status Completed
Enrollment 1506
Est. completion date February 1, 2021
Est. primary completion date February 28, 2020
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Patients presenting to the emergency department between 2019-09-01 and 2020-02-28. Exclusion Criteria: - None.

Study Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
Machine Learning Prediction
Machine Learning Prediction

Locations

Country Name City State
Austria Kepler University Hospital Linz Upper Austria

Sponsors (1)

Lead Sponsor Collaborator
Kepler University Hospital

Country where clinical trial is conducted

Austria, 

Outcome

Type Measure Description Time frame Safety issue
Primary AUROC for Classification of Shortness of Breath AUROC for Classification of Shortness of Breath 2019-09-01 to 2020-02-28
Primary AUROC for Classification of Extremity Pathologies AUROC for Classification of Extremity Pathologies 2019-09-01 to 2020-02-28
Primary AUROC for Classification of Abdominal Pain AUROC for Classification of Abdominal Pain 2019-09-01 to 2020-02-28
Primary AUROC for Classification of Urological Pathologies AUROC for Classification of Urological Pathologies 2019-09-01 to 2020-02-28
Primary AUROC for Classification of Chest Pain AUROC for Classification of Chest Pain 2019-09-01 to 2020-02-28
Primary AUROC for Classification of Back Pain AUROC for Classification of Back Pain 2019-09-01 to 2020-02-28
Secondary AUROC for Classification of Hospital Admission AUROC for Classification of Hospital Admission 2019-09-01 to 2020-02-28
Secondary Confusion Matrix Confusion Matrix Results: true positives, true negatives, false positive, false negatives and values calculated from these results. 2019-09-01 to 2020-02-28
Secondary Descriptive Statistics Descriptive Statistics (e. g. age in years) 2019-09-01 to 2020-02-28
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