Ultra-low Dose Chest Computed Tomography: a Rule-out Tool for Community-acquired Pneumonia
1 other identifier
observational
237
1 country
1
Brief Summary
This is a randomized study that sought to compare the rule-out capacity and antibiotics prescriptions associated with two different diagnostic imaging strategies (ultra-low-dose chest computed tomography versus chest radiography) in a group of healthy adults presenting to the emergency department (ED) with suspected community-acquired pneumonia (CAP).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2017
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2018
CompletedFirst Submitted
Initial submission to the registry
September 1, 2020
CompletedFirst Posted
Study publicly available on registry
September 9, 2020
CompletedSeptember 18, 2020
October 1, 2017
9 months
September 1, 2020
September 16, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Community-acquired pneumonia rule-out capability
Number of Participants for whom ULDCT could diagnose absence of imaging signs of pneumonia
1 month
Antibiotics prescription
Number of Participants for whom antibiotics were prescribed to treat bacterial pneumonia
immediate
Study Arms (1)
Suspected community-acquired pneumonia patients
Suspected community-acquired pneumonia patients that will be evaluated by an imaging method
Interventions
Eligibility Criteria
A total of 211 patients were included from the 237 eligible ones. Sixteen patients refused to sign the informed consent form and five were excluded due to technical errors during image acquisition. Two patients exhibited BMIs higher than 35 and did not fulfil the inclusion criteria; three patients could not be reached for follow-up. Among the 211 patients included, 98 (46.45%) were imaged by CR and 113 (53.55%) by ULDCT. There were no significant differences among patients in the CR and ULDCT groups concerning age, gender, height, weight, and BMI.
You may qualify if:
- Suspected CAP;
- At least one respiratory symptom (new or increasing cough, expectoration, dyspnea or chest pain) and
- At least one symptom related to infection (fever ≥ 38°C, chills, sweating, myalgia, mental confusion or headache) and
- Focal auscultatory findings during physical examinations (crackling rales)
- No definitive diagnosis possible by clinical judgment.
You may not qualify if:
- Score in at least one clinical part of the CURB-65 or PSA scores
- Clinical diagnosis of rhinosinusitis and acute nasopharyngitis and who had already been treated with antimicrobial therapy for this episode of disease
- pregnancy;
- the presence of other respiratory diseases such as chronic obstructive pulmonary disease (COPD), asthma, interstitial lung disease, chronic diseases or other chronic airway conditions;
- diagnosis of congestive heart failure;
- body mass index (BMI) greater than 30;
- inability to hold the breath for at least 10 seconds
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hospital Israelita Albert Einstein
São Paulo, São Paulo, 05652-900, Brazil
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 1, 2020
First Posted
September 9, 2020
Study Start
October 1, 2017
Primary Completion
July 1, 2018
Study Completion
December 1, 2018
Last Updated
September 18, 2020
Record last verified: 2017-10
Data Sharing
- IPD Sharing
- Will not share
there is no plan to make individual participant data (IPD) available to other researchers.