ClinicalTrials.gg
RecruitingNCT06601998HOMI-LUNG CAPUpdated Nov 6, 2026

Cardiovascular Disease Progression in Survivors of Community Acquired Pneumonia and Lung Infection by Covid-19.

An observational study in Pneumonia, Community-Acquired, COVID-19 Pneumonia and Cardiovascular Diseases, sponsored by Hellenic Institute for the Study of Sepsis. Recruiting at 19 sites in Greece. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-11-06.

Sponsored by Hellenic Institute for the Study of Sepsis · Observational

From the registry’s dates

  • Started Nov 2024; still recruiting 2 years later.
Updated Nov 6, 2026Site recruiting status changed1 site addedGo to Updates ↓
Study type
Observational
Model
Other
Time perspective
Cross-sectional
Enrollment
650
Ages
18 Years and older
Sex
All
01

Study summary

Pneumonia, which can be acquired in the community (including influenza and COVID-19), is a leading cause of mortality. The risk of severe cardiovascular diseases events (stroke, myocardial infarction, pulmonary embolism) increases after infections, but causal mechanisms are not understood yet. There is an essential need for improved understanding of the relationship between pneumonia and cardiovascular diseases and early identification of patients at risk of cardiovascular events to develop tailored therapies.

The overall concept underpinning "Homi-lung" is to investigate the time course of host-microbiome interactions during \& after pneumonia to i) understand the causal relationship between trained immunity, microbiome dysbiosis and cardiovascular and respiratory diseases (CVRD) progressions, ii) define endotypes of pneumonia associated with response to treatment \& CVRD history; iii) develop biomarkers to predict the individual response to the treatment \& CVRD progression, and iv) preclinically validate therapeutical approaches for CVRD during \& after pneumonia.

Read the detailed description

Post-acute pneumonia syndrome People believe that there is a "modern pandemic" beyond the pandemic. This is called the post-acute COVID syndrome (PACS), and it is a constellation of symptoms and medical entities which emerge after acute infection by the new coronavirus SARS-CoV-2 (COVID-19). However, in this definition, people are attracted by the apparent symptomatology and ignore that long-term complications may be even more severe. In this regard, it is reported that the incidence of type 2 diabetes mellitus (T2DM) is increasing almost 1.56-fold after acute COVID-19, which may happen without any symptoms. The increase in the incidence of T2DM is supported by two large-scale meta-analyses involving more than 4.2 million patients during the post-COVID-19 follow-up period.

Recent evidence from the Hellenic Sepsis Study group suggests that circulating monocytes of patients after the acute COVID- 19 illness have increased ability for the biosynthesis of interleukin (IL)-1β, many of them do not present symptoms of PACS.

Taking into consideration the importance of IL-1β for the pathogenesis of T2DM through the destruction of β-pancreatic cell islets, it is evident that increased cardiometabolic (CV) risk may also be a counterpart of PACS. In the CANTOS randomized clinical trial published several years ago, survivors of a first myocardial infarct were randomized to treatment with a placebo or canakinumab, one monoclonal antibody targeting IL-1β, for five years. Results showed that anti-IL-1 treatment decreased by 15% the incidence of secondary cardiovascular events outscoring excess IL-1β production as a driver of CV risk. Consequently, it is reasonable to hypothesize that COVID-19 survivors who over-produce IL-1β may present with long-term CV events.

Beyond state of the art: respiratory dysbiosis, a complete reappraisal of the physiopathology of pneumonia for innovative treatments Healthy distal airways have long been considered sterile, and pneumonia was thus supposed to be caused by the contamination of the lungs by exogenous virulent pathogens (for CAP) or during micro- aspirations of the digestive contents in comatose patients (for HAP). Based on this physiopathology, numerous strategies to rapidly eliminate pathogens are recommended and widely used in Europe and worldwide. However, the limits of CAP and HAP treatments which increase bacterial or viral clearance, are highlighted in almost all randomized trials evaluating antibiotics or antiviral drugs in which the rates of treatment failure commonly exceed 30%, and by the 30%-rate of patients presenting with prolonged symptoms after pathogen clearance. A reappraisal of the physiopathology of pneumonia seemed necessary to overcome the relative failure and improve patient outcomes.

We have demonstrated that pneumonia outcomes depend on pathogen clearance and restoring healthy interactions between a weakened microbiome and altered immunity. Since CVRD progression is associated with disruption of the host-microbiome interactions, we hypothesize that the dysbiosis induced by pneumonia participates in the CVRD progression reported after the infection recovery. We thus propose to perform i) a longitudinal follow-up of host-microbiome interactions in large cohorts of patients cured of pneumonia to demonstrate clinically meaningful associations between immune reprogramming, microbiome dysbiosis and CVRD progression, and ii) preclinical investigations in calibrated mice models to demonstrate causality between dysbiosis and CVRD progression.

It is now well established that airways harbour a rich and diverse microbiome in healthy controls. Respiratory tract invasion by pathogens rapidly causes a loss of microbiome diversity and an impoverishment of host-microbiome interactions. These respiratory microbiome alterations play an essential role in the development of lung inflammation during pneumonia and reflect variation in baseline lung innate immunity. In published studies of mechanically ventilated patients, it has been demonstrated that lung microbiota are correlated with alveolar inflammation and that disruption of the gut microbiome (via anti-anaerobic antibiotics) increases patients risk of prolonged mechanical ventilation and mortality. These studies demonstrate the clinical significance of the microbiome in recovery from lung injury. Alterations of the gut microbiome derived metabolites also participate in the long-term immune reprogramming observed after sepsis.

In the healthy state, respiratory mucosal immunity actively controls the commensal bacterial agents in the airways. Numerous studies have revealed profound immune alterations in septic patients, considered immunocompetent" at the time of hospitalization. Partner Nantes Université has demonstrated that pneumonia induces prolonged immune reprogramming, characterized by the formation of paralyzed dendritic cells (DCs) and low phagocytic alveolar macrophages (MAC), that lasts for months in humans and is associated with prolonged susceptibility to bacterial and viral respiratory infections. These results demonstrate that the required immune response to contain respiratory pathogens and interact with the microbiome is rapidly dampened during pneumonia and that this immune reprogramming lasts for years.

Critically ill patients are highly variable in their recovery from lung injury. Much of this variation is attributable to the differential recovery of alveolar epithelial cell integrity and function. An improved understanding of lung epithelial recovery will be necessary to identify therapeutic targets for resolving lung injury and preventing CVRD progression. Lung epithelial cells are subject to constant exposure to 1) microbiota within the respiratory tract and 2) metabolites and translocated bacterial products from the lower gut microbiome. Yet the role of the microbiome in alveolar epithelial recovery is undetermined.

As a summary, we propose a reappraisal of the physiopathology of pneumonia based on the concept of dysbiosis between a weakened microbiome and sepsis-induced immunosuppression, which have the potential to explain the prolonged susceptibility to non-communicable diseases, notably by sustaining epithelial injuries.

Role of host-microbiome interactions in CVRD progression Current pharmaceutical interventions designed to slow the progression of atherosclerosis focus almost exclusively on reducing plasma cholesterol levels. However, clinical and experimental data support an additional critical role for inflammation in atherothrombosis. Notably, inflammation inhibition targeting the central NLRP3 inflammasome to IL-1 to IL-6 pathway of innate immunity is an emerging method for atherosclerosis treatment and prevention. Macrophage accumulation within the vascular wall is a hallmark of atherosclerosis, and in atherosclerotic lesions, macrophages respond to various environmental stimuli, such as modified lipids and cytokines. We have demonstrated that trained immunity develops early during pneumonia, correlates with the inflammatory response, and can help to predict long-term outcomes after viral pneumonia.

This innate immune reprogramming, lasts for months after sepsis recovery and is characterized by exacerbated inflammatory response and prolonged decrease phagocytic activity of monocytes and macrophages during secondary immune stimulation. We thus propose that the functional reprogramming of monocytes and macrophages observed after pneumonia, can alter the control of atherosclerosis plaques, increasing the risk of major CVD events. The gut microbiome has also emerged as a central factor affecting type 2 diabetes, obesity and the progression of atherosclerotic cardiovascular disease.

Integration of host-microbiome interactions to model the response to pneumonia and identify patients at risk of unfavourable outcomes early Each patient likely responds differently to therapeutic intervention and might recover differently after pneumonia. Indeed, some subgroups of patients suffer rapid CVRD progression, and others return to baseline conditions. Several biomarkers have been associated with pneumonia outcomes, but none have reached the accuracy required for clinical implementation. This is mainly because they are usually developed in small mono-centre cohorts and analyzed separately in the microbiome and host status. So, pneumonia treatments and rehabilitation care are "one-fits-all patients" approach leading to a large proportion of treatment failures and CVRD progression.

There is a critical need for reliable biomarkers for the stratification of patients predicting therapy success/failure and risk of CVRD progression/severe. The gold standard to reach these objectives is to use large cohorts of patients, bar coding of the samples, and high-throughput analysis followed by unbiased algorithm-guided analysis. In this setting, the description that the integration of the host response and the microbiome composition have a fair accuracy for the diagnosis of pneumonia demonstrates the potential of protocols investigating the host/microbiome interactions for the development of personalized treatment for respiratory infections.

The development and validation of endotypes to better understand the functional mechanisms associated with CVRD progression will help clinicians to adapt treatment and better prevent these conditions. The definition of phenotypes will also help identify patients at risk early. We thus propose to combine host background (sex/gender, age, ethnicity, medical history and genetic susceptibility, vaccination), CVRD risk factors (dyslipidemia, diabetes, obesity), inflammation and soluble mediators (metabolome, cytokines), immune status (epigenetic regulation) and microbiome composition during and after pneumonia to capture the complexity of the hostmicrobiome interaction time course and define endotypes and phenotypes associating pneumonia with CVRD.

02

Conditions studied

  • Pneumonia, Community-Acquired
  • COVID-19 Pneumonia
  • Cardiovascular Diseases

Keywords

  • Covid-19
  • SARS-CoV-2
  • Lung infection
  • Cardiovascular disease
  • Respiratory disease
  • Endotypes
  • Biomarkers
  • Cardiorespiratory
  • Economic cost
03

In context

Community-Acquired Pneumonia

324 studies on the registry are indexed under Community-Acquired Pneumonia; 77 are open to participants now.

This study's planned enrollment of 650 is close to the median of 650 across 111 observational studies indexed under Community-Acquired Pneumonia.

Browse Community-Acquired Pneumonia studies →

Lead sponsor

Hellenic Institute for the Study of Sepsis is the lead sponsor of 32 studies on the registry; 7 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

The study needs to enroll four groups of patients to cover the magnitude of the spectrum of community-acquired pneumonia and enroll the required controls:

  • Group A: Controls with no or one comorbidity, predisposing to significant CV events and without a medical history of severe pneumonia. This group is important to provide baseline biological values and control samples to investigate normal host-microbiome interactions. No follow-up is performed for healthy controls.
  • Group B: Controls with comorbidities predisposing to major CV events and without a medical history of severe pneumonia. This group is important to provide normal CVRD progression in patients at risk and control samples for the investigation of host-microbiome interactions in patients with stable CVRD.
  • Group C: Patients cured of acute COVID-19.
  • Group D: Patients cured of severe community-acquired pneumonia.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Group A (healthy controls)

  1. Adults (18 years or more) of both genders (Female/Male: 50/50 ratio)
  2. No history of severe pneumonia (sCAP, COVID-19 or HAP)
  3. Presence of no or one of the following comorbidities: obesity (defined as over 35 kg/m2), type 2 diabetes mellitus, hypercholesterolemia, essential arterial hypertension, or familial history of CVD.

Group B (CVRD controls)

  1. Adults (18 years or more) of both genders (Female/Male ratio: 50/50)
  2. No history of severe pneumonia (sCAP, COVID-19 or HAP)
  3. At least two of the following comorbidities: obesity (defined as body mass index over 35 kg/m2), type 2 diabetes mellitus, hypercholesterolemia, essential arterial hypertension, or familial history of CVD

Group C (COVID-19 survivors)

  1. Adults (18 years or more) of both genders (Female/Male ratio: 50/50)
  2. Survivors from severe COVID-19 pneumonia at hospital discharge; all patients had consolidation in chest X-ray or chest computed tomography during acute infection and were treated for pneumonia
  3. SoC treatment for acute COVID-19 with dexamethasone

Group D (sCAP survivors)

  1. Adults (18 years or more) of both genders
  2. Survivors from sCAP pneumonia; these patients may be either hospitalized in the ward with pO2FiO2 ratio less than 300 or require admission and hospitalization in the Intensive Care Unit.
  3. SoC treatment for sCAP with antibiotics

Exclusion criteria

Exclusion Criteria:

Group A (healthy controls)

  1. Presence of two or more comorbidities
  2. Any other co-existing disorder generating CVRD symptoms
  3. Limited chance of survival for at least six months due to co-existing comorbidity (-ies) according to the judgement of the attending physicians
  4. Pregnancy or lactation

Group B (CVRD controls)

  1. Any other co-existing disorder generating CVRD symptoms
  2. Limited chance of survival for at least six months due to co-existing comorbidity (-ies) according to the judgement of the attending physicians
  3. Pregnancy or lactation

Group C (COVID-19 survivors)

  1. Medical history of severe congestive heart failure (Stage III-IV)
  2. Medical history of stage III or IV dyspnoea according to the classification before the acute COVID-19
  3. Limited chance of survival for at least six months due to co-existing comorbidity (-ies) according to the judgement of the attending physicians
  4. Pregnancy or lactation

Group D (sCAP survivors)

  1. Medical history of severe congestive heart failure (Stage III-IV)
  2. Medical history of stage III or IV dyspnoea according to the New York Heart Association classification before the sCAP
  3. Limited chance of survival for at least six months due to co-existing comorbidity (-ies) according to the judgement of the attending physicians
  4. Pregnancy or lactation
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

NYHA class (heart failure)

The New York Heart Association’s four classes of how much heart failure limits physical activity.

I
No limits: ordinary activity causes no undue tiredness or breathlessness.
II
Slight limits: comfortable at rest, ordinary activity causes symptoms.
III
Marked limits: comfortable at rest, less than ordinary activity causes symptoms.
IV
Symptoms even at rest; any activity makes them worse.

Studies set their own limit — many outside heart failure leave out class III–IV, while heart failure studies may ask for a particular class. Check the class this study names.

05

Study design

Observational model
Other
Time perspective
Cross-sectional
Enrollment
650 participants (estimated)
Patient registry
No

Groups and cohorts

  • Healthy controls

    Controls with no or one comorbidity, predisposing to significant CV events and without a medical history of severe pneumonia.

    Other: Blood samples and Oropharyngeal swab

  • CVRD controls

    Controls with comorbidities predisposing to major CV events and without a medical history of severe pneumonia

    Other: Blood samples and Oropharyngeal swab · Other: Six-minute walk test, Spirometry, ECG, Heart ultrasound and cardiopulmonary exercise stress testing, Completion of questionnaires of symptoms

  • COVID-19 survivors

    Patients cured of acute COVID-19

    Other: Blood samples and Oropharyngeal swab · Other: Six-minute walk test, Spirometry, ECG, Heart ultrasound and cardiopulmonary exercise stress testing, Completion of questionnaires of symptoms

  • sCAP survivors

    Patients cured of severe community-acquired pneumonia

    Other: Blood samples and Oropharyngeal swab · Other: Six-minute walk test, Spirometry, ECG, Heart ultrasound and cardiopulmonary exercise stress testing, Completion of questionnaires of symptoms

Interventions

  • OtherBlood samples and Oropharyngeal swab

    Blood samples: EDTA-plasma (proteome, metabolome and lipidome) and PBMCs (transcriptome, epigenome, immune-phenotype and genetic polymorphism)

  • OtherSix-minute walk test, Spirometry, ECG, Heart ultrasound and cardiopulmonary exercise stress testing, Completion of questionnaires of symptoms

    * Spirometry for forced expiratory volume in the first, second, total lung capacity and diffusion capacity of carbon monoxide. * ECG, Heart ultrasound and cardiopulmonary exercise stress testing: * NYHA * Rhythm or conduction abnormality (yes/no) * Left ventricular ejection fraction (%) * VO2Max

06

What researchers measure

Primary outcomes

  1. The first primary outcome is the rates of major cardiovascular disease event at 6 months.

    Major CVD events are all-cause mortality, stroke, non-fatal acute coronary syndrome, pulmonary embolism or venous thrombosis

    Time frame: From enrollment to Month 6.

  2. The second primary endpoint is poor cardiorespiratory fitness at 36 months.

    Poor fitness is a VO2max lower than normal values for age.

    Time frame: From enrollment to Month 36.

Secondary outcomes

  1. Rates of unplanned hospitalisation

    Rates of unplanned hospitalisation

    Time frame: From enrollment to Month 36.

  2. Rates of COPD exacerbation, hospitalization for respiratory failure and/or respiratory-related mortality at 3 years

    Rates of COPD exacerbation, hospitalization for respiratory failure and/or respiratory-related mortality at 3 years

    Time frame: From enrollment to Month 36.

  3. Rates of secondary episodes of pneumonia, the incidence of non-respiratory infections

    Rates of secondary episodes of pneumonia, the incidence of non-respiratory infections

    Time frame: From enrollment to Month 36.

  4. The rates of major cardiovascular disease event and of poor cardiorespiratory fitness

    The rates of major cardiovascular disease event at 6 months and of poor cardiorespiratory fitness at 36 months according to the microbiology of sCAP (viral vs bacterial vs mixed etiology)

    Time frame: At 6 and 36 months

  5. The rates of major cardiovascular disease event and of poor cardiorespiratory fitness

    The rates of major cardiovascular disease event at 6 months and of poor cardiorespiratory fitness at 36 months according to the antibiotic treatments for sCAP

    Time frame: At 6 and 36 months

  6. Changes in health-related quality of life (HRQoL)

    Changes in health-related quality of life (HRQoL) from six (M6) to eighteen months (M18) after hospital discharge measured with the Short Form (SF)-36 scale validated in Greek and Spanish

    Time frame: From six (M6) to eighteen months (M18) after hospital discharge

  7. Changes in anxiety and depression

    Changes in anxiety and depression from M6 to M18, measured with the Hospital Anxiety and Depression Scale (HADS) validated in Greek and Spanish

    Time frame: From Month 6 to Month 18

  8. Changes in subjective well-being

    Changes in subjective well-being from M6 to M18 measured with the Satisfaction With Life Scale (SWLS) validated in Greek and Spanish.

    Time frame: From Month 6 to Month 18

  9. New metabolic disease

    New metabolic disease, as evaluated by laboratory tests: diabetes (HbA1c \> 6.5%), dyslipidemia, denutrition (pre-albumin and albumin blood levels) at hospital discharge, M6 and M18

    Time frame: At hospital discharge (i.e. an average of 1 Month after enrollment), Month 6 and Month18

  10. Distance at the 6-min walk-test

    Distance at the 6-min walk-test at hospital discharge, M6 and M18

    Time frame: At hospital discharge (i.e. an average of 1 Month after enrollment), Month 6 and Month18

  11. Mean values of lung functions

    Mean values of lung functions (maximum expiratory volume per second, vital capacity, expiratory reserve volume and inspiratory reserved volume, DLC50) at hospital discharge, M6 and M18

    Time frame: At hospital discharge (i.e. an average of 1 Month after enrollment), Month 6 and Month18

  12. Cardiopulmonary exercise stress testing

    Cardiopulmonary exercise stress testing: VO2Max at hospital discharge, M6 and M18

    Time frame: At hospital discharge (i.e. an average of 1 Month after enrollment), Month 6 and Month18

  13. ECG: Percentages of patients with rhythm cardiac alterations, repolarisation abnormality

    ECG: Percentages of patients with rhythm cardiac alterations, repolarisation abnormality at hospital discharge, M6 and M18

    Time frame: At hospital discharge (i.e. an average of 1 Month after enrollment), Month 6 and Month18

  14. Mean values of left ventricular ejection fraction

    Mean values of left ventricular ejection fraction at hospital discharge, M6 and M18

    Time frame: At hospital discharge (i.e. an average of 1 Month after enrollment), Month 6 and Month18

07

Study locations

14 of 19 sites recruiting
  • 2nd Department of Internal Medicine, University General Hospital of Alexandroupolis
    Alexandroupoli, Greece
    Not yet recruiting
  • 10th Department of Pulmonary Medicine, Sotiria Athens Hospital of Chest Diseases
    Athens, Greece
    Recruiting
  • 1st Department of Internal Medicine, General Hospital of Athens G. GENNIMATAS
    Athens, Greece
    Recruiting
  • 1st Department of Internal Medicine, General Hospital of Athens KORGIALENIO-BENAKIO E.E.S.
    Athens, Greece
    Recruiting
  • 1st Department of Internal Medicine, General Hospital of Voula ASKLEPIEIO
    Athens, Greece
    Recruiting
  • 1st Intensive Care Clinic of the Medical School of the University of Athens, Evangelismos General Hospital
    Athens, Greece
    Recruiting
  • 1st University Department of Internal Medicine, General Hospital of Athens LAIKO
    Athens, Greece
    Recruiting
  • 1st University Department of Pulmonary Medicine, Sotiria Athens Hospital of Chest Diseases
    Athens, Greece
    Recruiting
  • 2nd Department of Internal Medicine, General Hospital of Voula ASKLEPIEIO
    Athens, Greece
    Recruiting
  • 2nd Department of Pulmonary Medicine, Sotiria Athens Hospital of Chest Diseases
    Athens, Greece
    Recruiting
  • 3rd University Department of Internal Medicine, Sotiria Athens Hospital of Chest Diseases
    Athens, Greece
    Recruiting
  • 4th Department of Internal Medicine, ATTIKON University General Hospital
    Athens, Greece
    Recruiting
  • Intensive Care Unit, General Hospital of Voula ASKLEPIEIO
    Athens, Greece
    Recruiting
  • Out-patients clinic, General Hospital of Voula ASKLEPIEIO
    Athens, Greece
    Recruiting
  • 1st Department of Internal Medicine, Thriasio General Hospital of Elefsina
    Elefsina, Greece
    Recruiting
  • Department of Internal Medicine, University General Hospital of Patras PANAGIA I VOITHIA
    Pátrai, Greece
    Not yet recruiting
  • 1st Department of Internal Medicine, AHEPA University General Hospital of Thessaloniki
    Thessaloniki, Greece
    Not yet recruiting
  • Intensive Care Unit 2, AHEPA University General Hospital of Thessaloniki
    Thessaloniki, Greece
    Not yet recruiting
  • Intensive Care Unit, "Ippokrateion" General Hospital of Thessaloniki
    Thessaloniki, Greece
    Not yet recruiting
08

Updates

1 registry update since Sep 25, 2026
Sites
1 site added. 1st Department of Internal Medicine, Thriasio General Hospital of Elefsina is now Recruiting
Show site
  • Department of Internal Medicine, University General Hospital of Patras PANAGIA I VOITHIA · Pátrai, Greece
Nov 6, 2026
Show all 1 update
  1. Nov 6, 2026
    1 site added. 1st Department of Internal Medicine, Thriasio General Hospital of Elefsina is now Recruiting
    Show site
    • Department of Internal Medicine, University General Hospital of Patras PANAGIA I VOITHIA · Pátrai, Greece

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

09

Registry details

Key details

Study ID
NCT06601998
Lead sponsor
Hellenic Institute for the Study of Sepsis
Responsible party
Sponsor
First posted
Sep 19, 2024
Start date
Nov 8, 2024
Primary completion
Nov 8, 2027 (estimated)
Completion
Jun 8, 2028 (estimated)
Last update
Nov 6, 2026

Study contacts

Prof. Evangelos Giamarellos-Bourboulis
Contact
egiamarel@med.uoa.gr
00302105831994
Prof. Evangelos Giamarellos-Bourboulis
study chair · Hellenic Institute for the Study of Sepsis

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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