CEDRN Pandemic Preparedness Registry
NCT07933861, Recruiting, University of British Columbia
Trial 8
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
| Field | Value | Source |
|---|---|---|
| Title | CEDRN Pandemic Preparedness Registry | ClinicalTrials.gov |
| NCT number | NCT07933861 | ClinicalTrials.gov |
| Status | Recruiting | ClinicalTrials.gov |
| Enrollment | 4,376 participants, estimated | ClinicalTrials.gov |
| Lead sponsor | University of British Columbia | ClinicalTrials.gov |
| Conditions | Respiratory Pathogens, Influenza (Pandemic), COVID-19 (Coronavirus Disease 2019), RSV | ClinicalTrials.gov |
| First posted | 2026-11-12 | ClinicalTrials.gov |
| Last updated | 2026-11-12 | ClinicalTrials.gov |
Registered outcomes 3
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description | Source |
|---|---|---|---|---|
| Primary | Number of patient presentations, disease severity, treatments, procedures, health services utilization, and in-hospital mortality by subgroup, over time and by geographic region. | From enrollment until patient is discharged from the emergency department or hospital within 7 days. | We will use summary statistics with measures of variance will describe patients, symptoms, disease severity, treatments, procedures (e.g., mechanical ventilation), health services utilization (e.g., admission), and in-hospital mortality. We will assess associations between treatments and procedures, and outcomes (e.g., admission, in-hospital mortality) while adjusting for patient factors (e.g., age, comorbidities) and the 7-day mean incident case count of new infections in the patient's health region, a method developed for COVID-19. We will stratify analyses by biological sex to understand sex-based differences in outcomes, age to understand illness in adults versus children, and race/ethnicity and geographic factors to understand health disparities. | ClinicalTrials.gov |
| Secondary | Derive and validate prediction rules for safe ED discharge and mortality. | From enrollment until patient is discharged from the emergency department or hospital within 7 days | We will randomly assign sites to the derivation or validation cohort, with \~75% of eligible patients and outcomes of interest (i.e., in-hospital mortality, and all-cause mortality) assigned to derivation. We will ascertain in-hospital mortality using data collected as part of the CEDRN Pandemic Preparedness Registry and all-cause mortality through linkage with Statistics Canada's Vital Statistics Deaths data. The initial logistic regression model will consider all candidate predictors. We will use a fast step-down procedure to reduce the model to key predictors. We will conduct internal bootstrapping to provide an optimism-corrected area under the receiver-operating curve. A nomogram will assign points to form a point score. We will calculate the sensitivity and specificity at different point thresholds, along with discrimination and calibration. Clinical decision rules require \>100 outcome events to achieve sufficiently narrow 95% CIs for high sensitivity. | ClinicalTrials.gov |
| Other | Vaccine effectiveness in vulnerable subgroups of the population | From enrollment until patient is discharged from the emergency department or hospital within 7 days. | Patients with non-influenza viruses (e.g., RSV) may enter the study as controls, as influenza vaccinations do not confer protection against other respiratory viruses. We will ascertain vaccination status using data linkage with provincial vaccination registries. We will calculate vaccine effectiveness as: VE = (1 - OR) x 100%, where OR is the ratio of the odds of vaccination among cases over the odds of vaccination among test negative controls. We will use logistic regression to model outcomes of interest (e.g., severe disease) on the exposure (e.g., vaccination) in patients seeking ED care (e.g., homeless, ethnic subgroups, immune compromised). | ClinicalTrials.gov |
Outcomes 0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
| Type | Outcome | Time frame | Population | Units | Measured as | Source |
|---|
Results by group 0
Each measurement the trial posted, group by group, in the words and numbers it posted.
| Outcome | Group | Category | Value | Spread | Units | Source |
|---|
Participant flow 0
How many started, completed or left each group, period by period.
| Period | Milestone | Group | Participants | Units counted | Source |
|---|
Adverse events 0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
| Type | Event | Organ system | Group | Affected | At risk | Events | Source |
|---|
Adverse event totals 0
The totals the trial posted for each group.
| Total | Group | Affected | At risk | Source |
|---|
Papers 0
The papers the trial lists on ClinicalTrials.gov.
| PMID | Listed as | Source |
|---|
Grants 0
The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.
| Project | Title | Principal investigators | Organization | Funder | Fiscal years | Source |
|---|
Trial comparisons 0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
| Comparison | Source |
|---|
Tests 0
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
| Test | Named as | Source |
|---|
Source 5
| Field | Value | Source |
|---|---|---|
| Release | trials-2026-11-12-0.4.0 | ClinicalTrials.gov |
| Release manifest SHA-256 | 0f4a8d8c48aee2a7573ae0fa94ecbeab70c1adbe449bbc95c424bc7d3e97b9d4 | ClinicalTrials.gov |
| Registry capture | 2026-11-12 | ClinicalTrials.gov |
| Results copy, AACT | 2026-03-23 | ClinicalTrials.gov |
| NIH clinical studies file | 2026-11-13 | ClinicalTrials.gov |
Release trials-2026-11-12-0.4.0
ClinicalTrials.gov's posted results, through CTTI's AACT: ClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299 ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
ClinicalTrials.gov: none stated ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
NIH RePORTER's clinical studies and project files: Public domain (NIH RePORTER)