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| Name | Class |
|---|---|
| Centre Hospitalier Universitaire Dupuytren de Limoges (CHUL) | UNKNOWN |
| Université de Genève (UNIGE) | UNKNOWN |
| University Medical Center Utrecht (UMCU) | UNKNOWN |
Ventilator-Associated Pneumonia (VAP) is a bacterial respiratory infection that patients in the Intensive Care Unit (ICU) often get when they cannot breathe for themselves and require mechanical ventilation. It is linked to higher chances of death, a longer stay in the hospital, higher costs, and the use of more antibiotics.
Options to help prevent or treat this disease are in development and will require evaluation in future clinical trials.
The goal of POS-VAP is to build and continuously train a network of ICUs to be prepared for doing these trials, to facilitate their execution.
Ventilator associated pneumonia (VAP) is one of the most frequent healthcare associated infections in the Intensive Care Unit (ICU) and a significant burden among ICU patients under invasive mechanical ventilation (IMV).
Several preventive and therapeutic treatment options are being developed in the field of VAP that will require evaluation in future randomized controlled trials (RCTs).
RCTs are the gold standard for evaluating medical interventions but are difficult to perform in a population at risk of, or with, VAP.
These trials are challenging since it is difficult to recruit a large enough volume of high-quality centers to achieve the required number of recruited patients, especially if the focus is on specific patient groups (e.g., VAP due to a specific pathogen), for which site selection can be even more challenging and time consuming. There is a need for a well-organized and well-trained international network of ICUs focusing on VAP research that enables efficient execution of RCTs on diagnostic, preventive and curative interventions in this population.
Through a Perpetual Observational Study (POS) we can provide quick access to a network of sites that fulfill pre-specified criteria. Additionally, the structured network of POS sites within ECRAID will maintain continuous activity to carry out observational studies in this specific field, implementing informed consent (where required), increasing quality and efficiency, and facilitating contracting.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Enrolled population | All patients meeting eligibility criteria (Adult patients, under a documented or expected time under mechanical ventilation of at least >48h) and providing one of:
| ||
| VAP population | Subset of the enrolled population fulfilling U.S. Food and Drug Administration (FDA) criteria for VAP diagnosis at any time during the follow up | ||
| Microbiologically evaluable VAP population | Subset of the VAP population with a documented causative agent (bronchoalveolar lavage [BAL], endotracheal aspirate [ETA], blood sample, sputum, or pleural fluid) within 48 hours from VAP diagnosis |
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| Measure | Description | Time Frame |
|---|---|---|
| Number of research sites recruiting patients | POS-VAP' overarching objective is to build a sustainable European clinical research network of ICUs that serves as platform to facilitate observational and randomized VAP research activities. This objective will be measured by in three ways: 1. Total number of sites in the POS-VAP network that actively recruit patients | 4 years |
| Number of patients recruited in the study | 2. Total number of patients in the POS-VAP network per analysis population (enrolled population, VAP population and microbiologically evaluable VAP population). | 4 years |
| Number of studies implemented through the network | 3. Total number of implemented observational studies and RCTs (stratified by domain: prevention, diagnosis and treatment). | 4 years |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of sites recruiting for an study implemented through the network | Average proportion of sites actively recruiting for at least one embedded study at any time during the study period, overall and stratified by observational and interventional embedded studies. | 4 years |
| Proportion of patients enrolled through POS-VAP that are part of a preventive study implemented through the network |
| Measure | Description | Time Frame |
|---|---|---|
| Incidence of VAP per 1000 ventilation days | Incidence of VAP per 1000 ventilation days, measured among the Enrolled population, overal and per site | 4 years |
| ICU mortality rate in non-VAP patients | ICU mortality, measured among the Enrolled population not developping VAP, overal and per site |
Inclusion criteria:
Exclusion Criteria:
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All patients admitted to an ICU, who are under IMV and documented or expected to be under IMV for more than 48 hours are eligible to participate in the study
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Bruno FRANCOIS, MD | Contact | +33 05 55 05 69 83 | bruno.francois@chu-limoges.fr | |
| Ana HERNANDEZ, MD, PhD | Contact | +33 07 65 15 04 00 | ana.hernandez@chu-limoges.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital of Trauma | Recruiting | Tirana | Albania |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35940566 | Background | Hassoun-Kheir N, van Werkhoven CH, Dunning J, Jaenisch T, van Beek J, Bielicki J, Butler CC, Francois B, Harbarth S, Hernandez Padilla AC, Horby P, Koopmans M, Lee J, Rodriguez-Bano J, Tacconelli E, Themistocleous Y, van der Velden AW, Bonten M, Goossens H, de Kraker MEA; ECRAID-Base consortium. Perpetual observational studies: new strategies to support efficient implementation of observational studies and randomized trials in infectious diseases. Clin Microbiol Infect. 2022 Dec;28(12):1528-1532. doi: 10.1016/j.cmi.2022.07.024. Epub 2022 Aug 5. No abstract available. |
| Label | URL |
|---|---|
| Related Info | View source |
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Data from this study will be used to inform future observational studies and RCTs about expected frequencies of exposures and clinical outcomes and expected recruitment rates for specific patient populations. Furthermore, the data will be used to support simulations to gain insight in the optimal design and required sample size of future RCTs as required for future embedded studies, which will be described in the appendices.
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Proportion (%) of POS-VAP enrolled population included in an embedded preventive study, stratified by observational and interventional embedded studies. |
| 4 years |
| Proportion of patients enrolled through POS-VAP that are part of a diagnostic study implemented through the network | Proportion (%) of POS-VAP enrolled population included in an embedded diagnostic study, stratified by observational and interventional embedded studies. | 4 years |
| Proportion of VAP patients enrolled through POS-VAP that are part of a treatment study implemented through the network | Proportion (%) of POS-VAP VAP population enrolled in at least one embedded treatment study with clinical outcome after VAP as endpoint, stratified by observational and interventional embedded studies. | 4 years |
| 4 years |
| Time from intubation until VAP diagnosis (days) | Time from start of invasive mechanical ventilation (IMV) until VAP diagnosis (days), measured among the VAP population, overall and per site | 4 years |
| Time under IMV after VAP diagnosis (days) | Time under IMV after VAP diagnosis (days), measured among the VAP population, measured overall and per site | 4 years |
| IMV-free days from VAP diagnosis till day 28 after VAP diagnosis (days) | IMV-free days from VAP diagnosis till day 28 after VAP diagnosis (days), measured among the VAP population, overall and per site | 4 years |
| Length of ICU stay after VAP diagnosis (days) | Length of ICU stay after VAP diagnosis (days), measured among the VAP population, overall and per site | 4 years |
| All-cause mortality at day 28 after VAP diagnosis (%) | All-cause mortality at day 28 after VAP diagnosis (%), measured among the VAP population, overall and per site | 4 years |
| ICU mortality rate | Mortality rate at ICU discharge, measured among the VAP population, overall and per site | 4 years |
| Resolution of signs and symptoms of VAP between days 7 and 10 from VAP diagnosis (%) | Resolution of signs and symptoms of VAP between days 7 and 10 from VAP diagnosis (%), measured among the VAP population, overall and per site | 4 years |
| Cliniques Universitaires Saint-Luc UCL | Recruiting | Brussels | 1200 | Belgium |
|
| Universitair Ziekenhuis Gent | Recruiting | Ghent | 9000 | Belgium |
|
| Hôpital de Jolimont | Recruiting | La Louvière | 7100 | Belgium |
|
| Centre Hospitalier Universitaire de Liège | Not yet recruiting | Liège | 4000 | Belgium |
|
| Clinique Saint Pierre Ottignies | Active, not recruiting | Ottignies-Louvain-la-Neuve | 1340 | Belgium |
| Clinical Hospital Center Rijeka | Recruiting | Rijeka | Croatia |
|
| General Hospital "Dr. Josip Benčević" Slavonski Brod | Recruiting | Slavonski Brod | Croatia |
|
| University Hospital for Infectious Diseases | Not yet recruiting | Zagreb | Croatia |
|
| University Hospital Kralovske Vinohrady | Recruiting | Brno-Vinohrady | Czechia |
|
| University Hospital Motol | Recruiting | Prague | Czechia |
|
| Centre Hospitalier William Morey | Recruiting | Chalon-sur-Saône | 71100 | France |
|
| Centre Hospitalier Universitaire Dijon Bourgogne | Recruiting | Dijon | 21079 | France |
|
| Centre Hospitalier de Le Mans | Recruiting | Le Mans | 72000 | France |
|
| Centre Hospitalier Régional Universitaire de Lille | Recruiting | Lille | 59035 | France |
|
| Centre Hospitalier Universitaire Dupuytren of Limoges | Recruiting | Limoges | 87000 | France |
|
| Centre Hospitalier Universitaire de Tours | Recruiting | Tours | 37000 | France |
|
| University Hospital Leipzig | Not yet recruiting | Leipzig | 04103 | Germany |
|
| University Hospital of Alexandroupolis | Not yet recruiting | Alexandroupoli | 68100 | Greece |
|
| Evangelismos General Hospital of Athens | Not yet recruiting | Athens | 10676 | Greece |
|
| Sotiria Thoracic Diseases Hospital of Athens | Not yet recruiting | Athens | 11527 | Greece |
|
| General University Hospital of Larissa | Not yet recruiting | Larissa | 41334 | Greece |
|
| IRCCS Ospedale Policlinico Gemelli | Not yet recruiting | Roma | Italy |
|
| Deventer Ziekenhuis | Recruiting | Deventer | 7416 | Netherlands |
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| University Medical Center Utrecht | Recruiting | Utrecht | 3584 | Netherlands |
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| Central Military Emergency University Hospital Dr. Carol Davila | Recruiting | Bucharest | Romania |
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| Elias University Emergency Hospital | Recruiting | Bucharest | Romania |
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| University Clinical Center of Serbia | Recruiting | Belgrade | 11000 | Serbia |
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| Hospital Universitario Reina Sofia | Recruiting | Córdoba | Cordoba | 14004 | Spain |
|
| Hospital Universitario Central de Asturias | Recruiting | Oviedo | Principality of Asturias | 33011 | Spain |
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| IMED Valencia | Recruiting | Burjassot | Valencia | 46100 | Spain |
|
| Vall d'Hebrón University Hospital | Active, not recruiting | Barcelona | 08035 | Spain |
| John V Farman Intensive Care Unit | Not yet recruiting | Cambridge | United Kingdom |
|
| Royal Infirmary of Edinburgh | Not yet recruiting | Edinburgh | EH164SA | United Kingdom |
|
| Royal Victoria Infirmary | Not yet recruiting | Newcastle | NE14LP | United Kingdom |
|
| ID | Term |
|---|---|
| D053717 | Pneumonia, Ventilator-Associated |
| D003428 | Cross Infection |
| ID | Term |
|---|---|
| D000077299 | Healthcare-Associated Pneumonia |
| D007239 | Infections |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D007049 | Iatrogenic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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