NCT05597059

Brief 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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,506

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Sep 2019

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

September 1, 2019

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 28, 2020

Completed
11 months until next milestone

Study Completion

Last participant's last visit for all outcomes

February 1, 2021

Completed
1.7 years until next milestone

First Submitted

Initial submission to the registry

October 25, 2022

Completed
2 days until next milestone

First Posted

Study publicly available on registry

October 27, 2022

Completed
Last Updated

October 31, 2022

Status Verified

October 1, 2022

Enrollment Period

6 months

First QC Date

October 25, 2022

Last Update Submit

October 28, 2022

Conditions

Outcome Measures

Primary Outcomes (6)

  • AUROC for Classification of Shortness of Breath

    AUROC for Classification of Shortness of Breath

    2019-09-01 to 2020-02-28

  • AUROC for Classification of Extremity Pathologies

    AUROC for Classification of Extremity Pathologies

    2019-09-01 to 2020-02-28

  • AUROC for Classification of Abdominal Pain

    AUROC for Classification of Abdominal Pain

    2019-09-01 to 2020-02-28

  • AUROC for Classification of Urological Pathologies

    AUROC for Classification of Urological Pathologies

    2019-09-01 to 2020-02-28

  • AUROC for Classification of Chest Pain

    AUROC for Classification of Chest Pain

    2019-09-01 to 2020-02-28

  • AUROC for Classification of Back Pain

    AUROC for Classification of Back Pain

    2019-09-01 to 2020-02-28

Secondary Outcomes (3)

  • AUROC for Classification of Hospital Admission

    2019-09-01 to 2020-02-28

  • Confusion Matrix

    2019-09-01 to 2020-02-28

  • Descriptive Statistics

    2019-09-01 to 2020-02-28

Study Arms (6)

Shortness of breath

Diagnostic Test: Machine Learning Prediction

Extremity pathologies

Diagnostic Test: Machine Learning Prediction

Abdominal pain

Diagnostic Test: Machine Learning Prediction

Urological pathologies

Diagnostic Test: Machine Learning Prediction

Chest pain

Diagnostic Test: Machine Learning Prediction

Back pain

Diagnostic Test: Machine Learning Prediction

Interventions

Machine Learning Prediction

Abdominal painBack painChest painExtremity pathologiesShortness of breathUrological pathologies

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Adults presenting to the emergency department.

You may qualify if:

  • Patients presenting to the emergency department between 2019-09-01 and 2020-02-28.

You may not qualify if:

  • None.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Kepler University Hospital

Linz, Upper Austria, 4021, Austria

Location

MeSH Terms

Conditions

Emergencies

Condition Hierarchy (Ancestors)

Disease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 25, 2022

First Posted

October 27, 2022

Study Start

September 1, 2019

Primary Completion

February 28, 2020

Study Completion

February 1, 2021

Last Updated

October 31, 2022

Record last verified: 2022-10

Data Sharing

IPD Sharing
Will not share

Locations