Differential Diagnosis of Persistent COVID-19 by Artificial Intelligence
DICOPERIA
1 other identifier
interventional
136
1 country
7
Brief Summary
The pandemic caused by SARS-CoV-2 infection has resulted, in addition to the well-known acute symptoms, in the emergence of persistent, diffuse and heterogeneous symptoms referred to as persistent COVID. Common symptoms include fatigue, shortness of breath, and cognitive dysfunction, among others, and result in an impact on daily functioning. Symptoms may be new onset, appear after initial recovery from an acute episode of COVID-19, or persist after the initial illness. Cardiac variability (HRV) was initially used in COVID-19 to predict mortality in the acute setting. Dysautonomia which partly evaluates HRV is frequent in patients with persistent COVID. Several groups have used voice or other respiratory noise analysis for the diagnosis of acute COVID. Patients in the persistent COVID cohort will be able to be differentiated from an age, sex and vaccination status matched cohort of recovered COVID patients without sequelae by means of a model created by Machine Learning that will be trained using cardiac variability (HRV), skin conductance and acoustic analysis data. The primary objetive will be to obtain a classification algorithm by Machine Learning to differentiate the group of patients with persistent COVID diagnosis from the paired group of recovered COVID patients without sequelae.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable covid19
Started Dec 2022
7 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 18, 2022
CompletedFirst Posted
Study publicly available on registry
November 29, 2022
CompletedStudy Start
First participant enrolled
December 14, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
November 1, 2023
CompletedNovember 29, 2022
November 1, 2022
11 months
November 18, 2022
November 28, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Differences of the group of patients with a persistent diagnosis of COVID from the age-matched group, sex and vaccination status of patients recovered from COVID without sequelae.
Through an algorithm model created by Machine Learning that will be trained using cardic variability (HRV), skin conductance and acoustic analysis data.
8 weeks
Secondary Outcomes (6)
Cardiac variability
8 weeks
Voice recording
8 weeks
Skin conductance
8 weeks
6MWT
8 weeks
1minSTST
8 weeks
- +1 more secondary outcomes
Other Outcomes (10)
Age
8 weeks
Sex
8 weeks
Current treatment
8 weeks
- +7 more other outcomes
Study Arms (2)
Persistent COVID group
EXPERIMENTALPatients with persistent COVID will be recruited by the physicians of the Post COVID-19 Multidisciplinary Clinic of the Complexo Hospitalario Universitario de Ourense.
Recovered COVID group
EXPERIMENTALThe controls will be recruited in a matched manner with the clinical sample in age, sex, epidemic wave and vaccination status, from among previously COVID-positive patients cured without sequelae and attended in Primary Care in the Health Centers of A Cuña, Valle Inclán and Novoa Santos in Ourense.
Interventions
Walking for 6 minutes, sitting down and getting up from a chair for 1 minute and finally the cold test (Cold pressor) where the hand is introduced for 1 minute in water at 4ºC. The patient will be monitored by means of a Polar H10 chest strap, as used in sports, continuously and 02 saturation, TA and voice (exhalation while saying /a/ and dry cough) will be collected before and after the tests. Finally, skin conductance will be monitored by performing baseline tracing and then control while performing the cold test.
Eligibility Criteria
You may qualify if:
- Age ≥18 and ≤70 years of age
- Confirmed infection (PCR) with SARS- CoV-2 until 03/28/2022 and thereafter date.
- Symptoms include: fatigue, respiratory distress or cognitive dysfunction, among others.
- Symptoms persist or appear more than 3 months after onset of infection.
- Symptoms last longer than 2 months and are not better explained by another diagnosis.
- Symptoms appeared after initial recovery or persisted since disease debut.
- Symptoms may fluctuate or remit over time.
- Patients have capacity to consent and agree to participate in the study.
You may not qualify if:
- Active COVID-19 infection.
- Cardiac arrhythmia, pacemaker carrier.
- Other pathologies with dysautonomia.
- Raynaud's phenomenon.
- Other diseases that may affect exercise capacity or be aggravated by exercise shall also be excluded, such as: Uncontrolled heart failure, severe or symptomatic aortic stenosis, pulmonary edema, acute respiratory failure, recent pulmonary thromboembolism, lower limb thrombosis, infections, thyrotoxicosis, or orthopedic inability to walk.
- Recovery COVID group
- Age ≥18 and ≤70 years of age
- Confirmed infection (PCR) with SARS- CoV-2 until 03/28/2022 and thereafter date.
- Full functional recovery.
- Follow-up by Primary Care.
- They have not presented three months after the onset of the disease: fatigue, respiratory distress or cognitive dysfunction, among others.
- Patients have capacity to consent and agree to participate in the study.
- Active COVID-19 infection.
- Cardiac arrhythmia, pacemaker carrier.
- Other pathologies with dysautonomia.
- +2 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Fundacin Biomedica Galicia Surlead
- University of Vigocollaborator
- Galician South Health Research Institutecollaborator
Study Sites (7)
Complexo Hospitalario Universitario de Ourense
Ourense, 32002, Spain
Health Center Novoa Santos
Ourense, 32003, Spain
Health Center Valle Inclán
Ourense, 32004, Spain
S.S. Computer Engineering (University of Vigo)
Ourense, 32004, Spain
Health Center A Cuña
Ourense, 32005, Spain
Galicia Sur Health Research Institute (IISGS) - Hospital Álvaro Cunqueiro
Vigo, 36213, Spain
School of Telecommunication Engineering (University of Vigo)
Vigo, 36310, Spain
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- SINGLE
- Who Masked
- INVESTIGATOR
- Masking Details
- The investigators performing the tests will be blinded to the diagnostic group.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 18, 2022
First Posted
November 29, 2022
Study Start
December 14, 2022
Primary Completion
November 1, 2023
Study Completion
November 1, 2023
Last Updated
November 29, 2022
Record last verified: 2022-11