Inventory of the Management of Acute Community-acquired Pneumonia in the Pneumology Department of the Strasbourg University Hospitals
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Infection, Lung Parenchyma
- Sponsor
- University Hospital, Strasbourg, France
- Enrollment
- 1000
- Locations
- 1
- Primary Endpoint
- Retrospectively determine the epidemiological, clinical, biological and imaging characteristics of people admitted for acute community-acquired pneumonia
- Status
- Recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
Acute community-acquired pneumonia (CAP) refers to an acute infection of the lung parenchyma, occurring within the first 48 hours of hospitalization. It is a frequent, serious pathology with a strong economic impact. Viruses (rhinovirus, respiratory syncitial virus, influenza virus for the most common) and Streptococcus pneumoniae are the most frequently encountered pathogens. However, more than half of the PACs have no microbiological documentation. The management of CAPs is based on national and international recommendations. Several studies have shown imperfect compliance by clinicians with recommendations with a prognostic impact.
The various published studies insist on the variability of the incidence, the type of pathogen, the severity and the economic impact, depending on the series. They also insist on the need to know the local epidemiology, in particular microbiological, in order to adapt the recommendations.
Detailed Description
The objective of the study is to determine the epidemiological, clinical, biological and imaging characteristics of people admitted for acute community-acquired pneumonia.
Investigators
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
Retrospectively determine the epidemiological, clinical, biological and imaging characteristics of people admitted for acute community-acquired pneumonia
Time Frame: Files analysed retrospectively from January 01, 2015 to December 31, 2019 will be examined
Retrospective analysis of health data from patients' medical records