COVID 19FOUNDNCT04441814
FOUND - Ancillary Study to Smile Protocol NCT03654105
An observational study of COVID 19 and Inflammatory Status, run by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano at 1 site in Italy.
Trial summary
During the current pandemic, in Italy the majority of asymptomatic or pauci-symptomatic COVID-19 cases were not identified nor diagnosed and this fact caused a decrease in the effectiveness of the various containment measures implemented. Read more about this study
- Who is it for?
- Ages 50 to 75 yearsHealthy volunteers can take part
- Conditions the study is for
- COVID 19, Inflammatory Status
- How many people
- 960 participants
- Where
- 1 siteItaly
- Study dates
- 23 Jul 2019to Dec 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 50 to 75 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Subjects who enrolled in SMILE protocol and signed the SMILE protocol NCT03654105 informed consent
Who may be able to join
- Elegibility to annual LDCT screening
- Absence of tumors for at least 5 years
- Signed informed consent form meet inclusion criteria outlined in SMILE Protocol NCT03654105
Who cannot join
- Hypersensitivity to acetylsalicylic acid, salicylates or any of the excipients
- Chronic treatment with acetylsalicylic acid, or other anti-clotting or anti-coagulant drugs
- Treatment with methotrexate
- Existing Mastocytosis
- History of asthma induced by the administration of salicylates or substances to similar activity, particularly non-steroidal anti-inflammatory drugs
- Gastroduodenal ulcer
Show all 11Show fewer
- Hemorrhagic diathesis
- Severe chronic pathology
- Serious psychiatric problems
- Previous treatment with Cytisine
- Abuse of alcohol or other substances
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Frequency and OUtcome of Sub-solid Pulmonary Nodules in Asymptomatic Subjects Tested by Chest CT Screening Versus COVID-19 Patients (FOUND) - Ancillary Study to Smile Protocol NCT03654105
During the current pandemic, in Italy the majority of asymptomatic or pauci-symptomatic COVID-19 cases were not identified nor diagnosed and this fact caused a decrease in the effectiveness of the various containment measures implemented. Therefore, in a future scenario where a new viral swarm is expected, the early identification of all infected cases becomes essential to plan and activate a containment strategy for the spread of the virus, given the current absence of vaccines.
The typical radiological finding of COVID-19 is an interstitial pneumonia, which can be responsible, in a significant portion of patients, of an acute respiratory distress syndrome (ARDS).
Read more
Low-dose chest CT and simple blood tests could identify sub-solid pulmonary nodules (SSNs) indicative of COVID-19 infection in asymptomatic subjects.
Objectives of this observational study are the early detection of COVID-19 markers indicative of prior exposure or persisting viral infection in asymptomatic subjects and the assessment of the frequency and outcome of COVID-19-related SSNs in asymptomatic subjects by time, domicile, and other individual risk factors.
SMILE lung CT screening program cohort has been considered, based on 960 subjects at high lung cancer risk for tobacco smoking (≥20 pack/year) and age (50-75 years), together with inflammatory and respiratory profile. SMILE utilizes a top technology dual-source CT scanner (Somatom Force) with the lowest radiation dose ever applied to lung screening. All chest CT images from screening subjects will be re-evaluated by two additional CAD programs, specifically designed for the analysis of SSNs and quantification of the total volume of lung parenchyma showing an increased density. This re-evaluation will improve the sensitivity and specificity of radiomic assessment.
This study cohort, enriched by the already established longitudinal biobank of frozen plasma samples, represent an ideal opportunity to assess the frequency of SSNs in asymptomatic subjects, due to the effect of COVID-19, particularly among subjects living in areas at high risk of viral exposure. It will also be possible to evaluate if COVID-19-related SSNs are associated with chronic co-morbidity, other individual risk factors, inflammatory (CRP) / immunomodulatory (25(OH)D) blood profile, and/or can be traced by immune markers such as IgM/IgG and other cytokines.
Clinical data will be integrated with an analysis of the IgG-IgM profile specific for covid-19, on the plasma samples taken at the time of the CT scan, or subsequently, in collaboration with University of Milan, Luigi Devoto Work Clinic.
The lasting collaboration with the Radiological Science Department of the University of Parma in lung screening also offers the opportunity to validate the results obtained in this cohort on chest CT performed at the University Parma Hospital during the last two months in symptomatic subjects for suspected covid-19 pneumonia.
In collaboration with University of Milano Bicocca, Machine Learning (ML) tools will be applied to predict the clinical relevance, severity and ultimate outcome of SSNs, based on radiomic CT features, epidemiologic risk, co-morbidity and inflammatory/immune blood biomarkers. ML analysis will generate a predictive algorithm for clinical outcome of SSNs, and specifically the risk of COV-I9 infection and unfavorable disease prognosis.
- Conditions
- COVID 19, Inflammatory Status
- Keywords
- COVID, Lung cancer screening, Subsolid pulmonary nodules, Low dose CT screening, Blood biomarkers
- Medical subject headings
- COVID-19
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Lung cancer screening subjects | Subjects enrolled in SMILE lung cancer screening trial |
What is being measured
The primary outcome is the main question the study is designed to answer.
Temporal variations in the frequency and morphology of SSNs according to the COVID-19 epidemic
Evaluate the increase of frequency and severity of SSNs according to the COVID-19 epidemic. The results of chest CT performed in different periods will be compared (December 2019 -February 2020; September 2019 - November 2019)
Measured: September 2019 - February 2020
Geographical variations in the frequency and morphology of SSNs according to the COVID-19 epidemic
To this end, subjects domiciled in different geographical areas will be compared: a) high risk (≥ 200 covid cases / 100,000 inhabitants); b) medium risk (100-200 cases / 100,000); low risk (<100 cases / 100,000)
Measured: September 2019 - February 2020
Correlation between sub-solid lesions and individual risk
Establish whether subjects with a higher level of risk and / or individual damage have a higher frequency and / or severity of sub-solid lung injury.
For this purpose, the following parameters will be analyzed: a) inflammatory profile (PCR), b) respiratory capacity (FEV1), c) co-morbidity (e.g. obesity, diabetes, cardio-vascular disease, COPD), d) level of CO; e) age, f) gender.
Measured: September 2019 - February 2020
Correlation between sub-solid lesions and incidence of acute events
Establish whether subjects with greater frequency and/or severity of sub-solid lung lesions, associated or not with other individual risk factors, have a higher incidence of acute pathological events, in particular of respiratory nature, in the three (six) months following the CT exam. For this purpose, information on the time of onset and duration of these events will be collected: fever, cough, dyspnoea, hospitalization, positivity for covid-19, treatment in the ICU, and eventual death.
Measured: September 2019 - August 2020
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 Jun 2020
- Study start23 Jul 2019
- Primary completionDec 2024 (estimated)
- Study completionDec 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (8)Papers the sponsor has linked to this study.
- Other trials for COVID 19Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 960 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
- Sponsor type
- University, hospital or other
- Collaborators
- University of Parma, University of Milan, University of Milano Bicocca
- Responsible party
- Sponsor
- Investigators
- Ugo Pastorino, MD, Principal investigator, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04441814
- Sponsor's protocol ID
- INT 49/20
- Acronym
- FOUND
- Status last verified
- Sep 2023
- First submitted
- 18 Jun 2020
- Last updated
- 7 Mar 2024
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Pan F, Ye T, Sun P, Gui S, Liang B, Li L, Zheng D, Wang J, Hesketh RL, Yang L, Zheng C. Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology. 2020 Jun;295(3):715-721. doi: 10.1148/radiol.2020200370. Epub 2020 Feb 13.
PubMed 32053470Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, Huang H, Zhang L, Zhou X, Du C, Zhang Y, Song J, Wang S, Chao Y, Yang Z, Xu J, Zhou X, Chen D, Xiong W, Xu L, Zhou F, Jiang J, Bai C, Zheng J, Song Y. Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern Med. 2020 Jul 1;180(7):934-943. doi: 10.1001/jamainternmed.2020.0994.
PubMed 32167524Li LQ, Huang T, Wang YQ, Wang ZP, Liang Y, Huang TB, Zhang HY, Sun W, Wang Y. COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis. J Med Virol. 2020 Jun;92(6):577-583. doi: 10.1002/jmv.25757. Epub 2020 Mar 23.
PubMed 32162702Grant WB, Lahore H, McDonnell SL, Baggerly CA, French CB, Aliano JL, Bhattoa HP. Evidence that Vitamin D Supplementation Could Reduce Risk of Influenza and COVID-19 Infections and Deaths. Nutrients. 2020 Apr 2;12(4):988. doi: 10.3390/nu12040988.
PubMed 32252338Gallivanone F, Cava C, Corsi F, Bertoli G, Castiglioni I. In Silico Approach for the Definition of radiomiRNomic Signatures for Breast Cancer Differential Diagnosis. Int J Mol Sci. 2019 Nov 20;20(23):5825. doi: 10.3390/ijms20235825.
PubMed 31756987Pastorino U, Silva M, Sestini S, Sabia F, Boeri M, Cantarutti A, Sverzellati N, Sozzi G, Corrao G, Marchiano A. Prolonged lung cancer screening reduced 10-year mortality in the MILD trial: new confirmation of lung cancer screening efficacy. Ann Oncol. 2019 Oct 1;30(10):1672. doi: 10.1093/annonc/mdz169. No abstract available.
PubMed 31168572Silva M, Schaefer-Prokop CM, Jacobs C, Capretti G, Ciompi F, van Ginneken B, Pastorino U, Sverzellati N. Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis. Invest Radiol. 2018 Aug;53(8):441-449. doi: 10.1097/RLI.0000000000000464.
PubMed 29543693Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. doi: 10.1016/0021-9681(87)90171-8.
PubMed 3558716
Study at a glance
From the registry record, last updated by the sponsor on 7 Mar 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Frequency and OUtcome of Sub-solid Pulmonary Nodules in Asymptomatic Subjects Tested by Chest CT Screening Versus COVID-19 Patients (FOUND) - Ancillary Study to Smile Protocol NCT03654105
- ClinicalTrials.gov ID
- NCT04441814
- Acronym / sponsor ID
- FOUND / INT 49/20
- Conditions
- COVID 19, Inflammatory Status
- Keywords
- COVID, Lung cancer screening, Subsolid pulmonary nodules, Low dose CT screening, Blood biomarkers
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 960 participants (estimated)
- Lead sponsor
- Fondazione IRCCS Istituto Nazionale dei Tumori, MilanoUniversity, hospital or other
- Collaborators
- University of Parma, University of Milan, University of Milano Bicocca
- Study start
- 23 Jul 2019 (actual)
- Primary completion
- Dec 2024 (estimated)
- Study completion
- Dec 2024 (estimated)
- First posted
- 22 Jun 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
During the current pandemic, in Italy the majority of asymptomatic or pauci-symptomatic COVID-19 cases were not identified nor diagnosed and this fact caused a decrease in the effectiveness of the various containment measures implemented. Therefore, in a future scenario where a new viral swarm is expected, the early identification of all infected cases becomes essential to plan and activate a containment strategy for the spread of the virus, given the current absence of vaccines.
The typical radiological finding of COVID-19 is an interstitial pneumonia, which can be responsible, in a significant portion of patients, of an acute respiratory distress syndrome (ARDS).
Low-dose chest CT and simple blood tests could identify sub-solid pulmonary nodules (SSNs) indicative of COVID-19 infection in asymptomatic subjects.
Objectives of this observational study are the early detection of COVID-19 markers indicative of prior exposure or persisting viral infection in asymptomatic subjects and the assessment of the frequency and outcome of COVID-19-related SSNs in asymptomatic subjects by time, domicile, and other individual risk factors.
SMILE lung CT screening program cohort has been considered, based on 960 subjects at high lung cancer risk for tobacco smoking (≥20 pack/year) and age (50-75 years), together with inflammatory and respiratory profile. SMILE utilizes a top technology dual-source CT scanner (Somatom Force) with the lowest radiation dose ever applied to lung screening. All chest CT images from screening subjects will be re-evaluated by two additional CAD programs, specifically designed for the analysis of SSNs and quantification of the total volume of lung parenchyma showing an increased density. This re-evaluation will improve the sensitivity and specificity of radiomic assessment.
This study cohort, enriched by the already established longitudinal biobank of frozen plasma samples, represent an ideal opportunity to assess the frequency of SSNs in asymptomatic subjects, due to the effect of COVID-19, particularly among subjects living in areas at high risk of viral exposure. It will also be possible to evaluate if COVID-19-related SSNs are associated with chronic co-morbidity, other individual risk factors, inflammatory (CRP) / immunomodulatory (25(OH)D) blood profile, and/or can be traced by immune markers such as IgM/IgG and other cytokines.
Clinical data will be integrated with an analysis of the IgG-IgM profile specific for covid-19, on the plasma samples taken at the time of the CT scan, or subsequently, in collaboration with University of Milan, Luigi Devoto Work Clinic.
The lasting collaboration with the Radiological Science Department of the University of Parma in lung screening also offers the opportunity to validate the results obtained in this cohort on chest CT performed at the University Parma Hospital during the last two months in symptomatic subjects for suspected covid-19 pneumonia.
In collaboration with University of Milano Bicocca, Machine Learning (ML) tools will be applied to predict the clinical relevance, severity and ultimate outcome of SSNs, based on radiomic CT features, epidemiologic risk, co-morbidity and inflammatory/immune blood biomarkers. ML analysis will generate a predictive algorithm for clinical outcome of SSNs, and specifically the risk of COV-I9 infection and unfavorable disease prognosis.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Lung cancer screening subjects | – | –Subjects enrolled in SMILE lung cancer screening trial |
Who may qualify
- Ages
- 50 to 75 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Subjects who enrolled in SMILE protocol and signed the SMILE protocol NCT03654105 informed consent
Key inclusion criteria (3 listed)
- Elegibility to annual LDCT screening
- Absence of tumors for at least 5 years
- Signed informed consent form meet inclusion criteria outlined in SMILE Protocol NCT03654105
Key exclusion criteria (11 listed)
- Hypersensitivity to acetylsalicylic acid, salicylates or any of the excipients
- Chronic treatment with acetylsalicylic acid, or other anti-clotting or anti-coagulant drugs
- Treatment with methotrexate
- Existing Mastocytosis
- History of asthma induced by the administration of salicylates or substances to similar activity, particularly non-steroidal anti-inflammatory drugs
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Temporal variations in the frequency and morphology of SSNs according to the COVID-19 epidemic
Time frame: September 2019 - February 2020
Evaluate the increase of frequency and severity of SSNs according to the COVID-19 epidemic. The results of chest CT performed in different periods will be compared (December 2019 -February 2020; September 2019 - November 2019)
Geographical variations in the frequency and morphology of SSNs according to the COVID-19 epidemic
Time frame: September 2019 - February 2020
To this end, subjects domiciled in different geographical areas will be compared: a) high risk (≥ 200 covid cases / 100,000 inhabitants); b) medium risk (100-200 cases / 100,000); low risk (<100 cases / 100,000)
Correlation between sub-solid lesions and individual risk
Time frame: September 2019 - February 2020
Establish whether subjects with a higher level of risk and / or individual damage have a higher frequency and / or severity of sub-solid lung injury. For this purpose, the following parameters will be analyzed: a) inflammatory profile (PCR), b) respiratory capacity (FEV1), c) co-morbidity (e.g. obesity, diabetes, cardio-vascular disease, COPD), d) level of CO; e) age, f) gender.
Correlation between sub-solid lesions and incidence of acute events
Time frame: September 2019 - August 2020
Establish whether subjects with greater frequency and/or severity of sub-solid lung lesions, associated or not with other individual risk factors, have a higher incidence of acute pathological events, in particular of respiratory nature, in the three (six) months following the CT exam. For this purpose, information on the time of onset and duration of these events will be collected: fever, cough, dyspnoea, hospitalization, positivity for covid-19, treatment in the ICU, and eventual death.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 Mar 2024.
- Results publication: PubMed 32053470Pan F, Ye T, Sun P, Gui S, Liang B, Li L, Zheng D, Wang J, Hesketh RL, Yang L, Zheng C. Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology. 2020 Jun;295(3):715-721. doi: 10.1148/radiol.2020200370. Epub 2020 Feb 13.
- Results publication: PubMed 32167524Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, Huang H, Zhang L, Zhou X, Du C, Zhang Y, Song J, Wang S, Chao Y, Yang Z, Xu J, Zhou X, Chen D, Xiong W, Xu L, Zhou F, Jiang J, Bai C, Zheng J, Song Y. Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern Med. 2020 Jul 1;180(7):934-943. doi: 10.1001/jamainternmed.2020.0994.
- Results publication: PubMed 32162702Li LQ, Huang T, Wang YQ, Wang ZP, Liang Y, Huang TB, Zhang HY, Sun W, Wang Y. COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis. J Med Virol. 2020 Jun;92(6):577-583. doi: 10.1002/jmv.25757. Epub 2020 Mar 23.
- Results publication: PubMed 32252338Grant WB, Lahore H, McDonnell SL, Baggerly CA, French CB, Aliano JL, Bhattoa HP. Evidence that Vitamin D Supplementation Could Reduce Risk of Influenza and COVID-19 Infections and Deaths. Nutrients. 2020 Apr 2;12(4):988. doi: 10.3390/nu12040988.
- Results publication: PubMed 31756987Gallivanone F, Cava C, Corsi F, Bertoli G, Castiglioni I. In Silico Approach for the Definition of radiomiRNomic Signatures for Breast Cancer Differential Diagnosis. Int J Mol Sci. 2019 Nov 20;20(23):5825. doi: 10.3390/ijms20235825.
- Results publication: PubMed 31168572Pastorino U, Silva M, Sestini S, Sabia F, Boeri M, Cantarutti A, Sverzellati N, Sozzi G, Corrao G, Marchiano A. Prolonged lung cancer screening reduced 10-year mortality in the MILD trial: new confirmation of lung cancer screening efficacy. Ann Oncol. 2019 Oct 1;30(10):1672. doi: 10.1093/annonc/mdz169. No abstract available.
- Results publication: PubMed 29543693Silva M, Schaefer-Prokop CM, Jacobs C, Capretti G, Ciompi F, van Ginneken B, Pastorino U, Sverzellati N. Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis. Invest Radiol. 2018 Aug;53(8):441-449. doi: 10.1097/RLI.0000000000000464.
- Results publication: PubMed 3558716Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. doi: 10.1016/0021-9681(87)90171-8.
- Data of Italian Ministry of HealthLink provided by the sponsor.
- Data of "Istituto Superiore di Sanità"Link provided by the sponsor.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Ugo Pastorino, MD principal investigator
Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of COVID 19 and Inflammatory Status, run by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano at 1 site in Italy.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 11 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 7 Mar 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Italy. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Temporal variations in the frequency and morphology of SSNs according to the COVID-19 epidemic (time frame: September 2019 - February 2020). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04441814, which also lists 8 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Mar 2024; AzTrials last refreshed its copy on 30 Oct 2026.