HIV-1 & Coronavirus-Coinfection in Europe: Morbidity & Risk Factors of COVID-19 in People Living With HIV (HIV CoCo)

March 3, 2025 updated by: NEAT ID Foundation

HIV CoCo is a European multi-centre, multi-country, retrospective, observational case-control study that will aim to describe clinical outcomes and identify risk factors for People Living With HIV (PLWHIV) who are co-infected with the SARS-CoV-2 coronavirus.

The study will address two central questions:

  1. Is there a particular risk for COVID-19 in PLWHIV as compared to HIV seronegative control COVID-19 cases?
  2. Are there particular factors, within the group of PLWHIV, which put them at risk for a more severe COVID-19 disease course?

The study will address these questions by recruiting patients co-infected with both HIV and SARS-CoV-2 and comparing them to two control groups - one group infected with SARS-CoV-2 only and another group infected with HIV only. Only deidentified, real-world retrospective data will be used for the study, collected as part of standard, routine clinical care.

Additionally, this study will also look to:

  1. Describe the differences in the clinical manifestation of COVID-19 in PLWHIV compared to HIV seronegative controls
  2. Describe the response to treatment, including supportive care and novel therapies against COVID-19, including antiviral or immunomodulatory therapy
  3. Describe the co-morbidities in PLWHIV and controls with COVID-19
  4. Compare the severity of COVID-19 between PLWHIV and the COVID-19 only controls at diagnosis and hospital admission.

Data will be collected about patient outcomes from COVID-19 (including hospitalisation for COVID-19, length of stay in hospital, critical care admission, ventilation/oxygenation requirements, and need for kidney replacement therapy), as well as pre-existing health conditions, and relevant blood results at COVID-19 diagnosis.

Study Overview

Status

Completed

Study Type

Observational

Enrollment (Actual)

2598

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Brussels, Belgium
        • CHU Saint Pierre
      • Marseille, France
        • Hôpital Européen Marseille
      • Paris, France
        • Hopital Saint Louis
      • Rotterdam, Netherlands
        • Erasmus Medical Center
      • Barcelona, Spain
        • Hospital de la Santa Creu i Sant Pau
      • Barcelona, Spain
        • Hospital Universitari de Bellvitge
      • Barcelona, Spain
        • Hospital Clinic Barcelona
      • Bilbao, Spain
        • Hospital Universitario Basurto
      • Elche, Spain
        • Hospital General Universitario de Elche
      • Logroño, Spain
        • Hospital Universitario San Pedro
      • Madrid, Spain
        • Hospital Ramon y Cajal
      • Madrid, Spain
        • Hospital Universitario 12 de Octubre
      • Madrid, Spain
        • Hospital Universitario La Paz
      • Majadahonda, Spain
        • Hospital Universitario Puerta de Hierro Majadahonda
      • Bradford, United Kingdom
        • Bradford Teaching Hospitals NHS Foundation Trust
      • Bristol, United Kingdom
        • Southmead Hospital (North Bristol)
      • Derby, United Kingdom
        • University Hospitals of Derby & Burton NHS Foundation Trust
      • Glasgow, United Kingdom
        • Brownlee Centre, Gartnavel General Hospital
      • London, United Kingdom
        • Royal Free London NHS Foundation Trust
      • London, United Kingdom
        • King's College Hospital NHS Foundation Trust
      • London, United Kingdom
        • Guy's and St Thomas' NHS Foundation Trust
      • London, United Kingdom
        • Chelsea & Westminster Hospital NHS Foundation Trust
      • London, United Kingdom
        • Barts Health (The Royal London Hospital)

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The study population will consist of adult PLWHIV with and without COVID-19 disease, followed up at the study sites for routine clinical care. Data from adult COVID-19 patients without HIV infection will be used as controls.

500 cases (PLWHIV + COVID-19) will be recruited. These patients will be at least 18 years old with documented HIV-1 infection and SARS-CoV-2 infection by documented, or patient-reported, positive result on PCR testing of a nasopharyngeal or respiratory sample, before 1st April 2021.

500 COVID-19 controls will be recruited. These patients will be at least 18 years old without documented HIV-1 infection but confirmed SARS-CoV-2 infection by documented, or patient-reported, positive result on PCR testing of a nasopharyngeal or respiratory sample, before 1st April 2021.

1000 PLWHIV control patients will be recruited for the second control group. This group will include individuals at least 18 years old with documented HIV-1 infection.

Description

Inclusion Criteria:

  • • Cases (PLWHIV + COVID-19)

    1. Any gender
    2. At least 18 years of age
    3. Documented HIV-1 infection
    4. Confirmed SARS-CoV-2 infection by documented, or patient-reported, positive result on PCR testing of a nasopharyngeal or respiratory sample, before 1st April 2021

      • Controls (COVID-19)
    1. Any gender
    2. At least 18 years of age
    3. No documented HIV-1 infection
    4. Confirmed SARS-CoV-2 infection by documented, or patient-reported, positive result on PCR testing of a nasopharyngeal or respiratory sample, before 1st April 2021
    5. Meet the matching criteria

For comparing PLWHIV & COVID-19 versus HIV seronegative COVID-19 patients, a 1:1 matching will be performed according to the following criteria:

  • Age (+/- 5 years)
  • Sex
  • Ethnicity (where available)
  • Month of COVID-19 diagnosis (+/- 2 months)
  • COVID-19 diagnosis inpatient OR
  • COVID-19 diagnosis outpatient (ambulatory)
  • Controls (PLWHIV)

    1. Any gender
    2. At least 18 years of age
    3. Documented HIV-1 infection
    4. No evidence of SARS-CoV-2 infection
    5. Meet the matching criteria

For comparing PLWHIV & COVID-19 versus PLWHIV without COVID-19, a 1:2 matching for similar risk of acquiring COVID-19 will be performed according to the following criteria:

  • Age (+/- 5 years)
  • Sex
  • Ethnicity (where available)

Exclusion Criteria

For cases (PLWHIV + COVID-19) and for COVID-19 only controls:

  • COVID-19 diagnosed based on clinical criteria

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Retrospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
PLWHIV with COVID-19 cases
Patients who are at least 18 years of age with documented HIV-1 infection and confirmed SARS-CoV-2 infection by documented, or patient-reported, positive result on PCR testing of a nasopharyngeal or respiratory sample, before 1st April 2021.
Diagnosed with COVID-19 infection
Diagnosed with HIV-1 infection
PLWHIV without COVID-19 controls
Patients at least 18 years of age with documented HIV-1 infection.
Diagnosed with HIV-1 infection
HIV seronegative patients with COVID-19 controls
Patients at least 18 years of age with confirmed SARS-CoV-2 infection by documented, or patient-reported, positive result on PCR testing of a nasopharyngeal or respiratory sample, before 1st April 2021.
Diagnosed with COVID-19 infection

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of Composite Primary End Point (Critical Care Admission, Palliative Discharge When Discharged From Hospital, or Mortality Within the 6 Weeks After Diagnosis of COVID-19) Events
Time Frame: From baseline (diagnosis of COVID-19) to Week 6

The primary endpoint is a composite of the number of critical care admission (high dependency unit or intensive care unit), mortality in hospital or palliative discharge when discharged from hospital, or mortality at 6 weeks after diagnosis of COVID-19 or at discharge from hospital (where applicable) events. Time-to-event methods, including Kaplan-Meier survival curves and Cox proportional-hazards models, will be used for this analysis. The time to the primary endpoints will be defined as:

  • For participants admitted to critical care Time = [Date of Critical care admission - Date of positive PCR test for COVID-19] + 1
  • For participants admitted to critical care before diagnosis of COVID-19, Time=1 day.
  • For participants with palliative discharge when discharged from hospital Time = [Date of discharge from hospital to palliative care - Date of positive PCR test for COVID-19] + 1.
  • For participants died Time = [Date of death - Date of positive PCR test for COVID-19] + 1.
From baseline (diagnosis of COVID-19) to Week 6
Kaplan-Meier Estimate of Primary End Point
Time Frame: From Baseline (diagnosis of COVID-19 ) to week 6
Kaplan-Meier estimate of the composite number of critical care admission, palliative discharge and death events
From Baseline (diagnosis of COVID-19 ) to week 6
Number of Palliative Discharge
Time Frame: Baseline (diagnosis of COVID-19) to week 6
Number of palliative discharge at discharge from hospital following hospitalisation for COVID-19 events
Baseline (diagnosis of COVID-19) to week 6
Mortality
Time Frame: Baseline (diagnosis of COVID-19) to week 6
Mortality at 6 weeks after diagnosis of COVID-19 or at discharge from hospital
Baseline (diagnosis of COVID-19) to week 6
Number of Critical Care Admission Events
Time Frame: Baseline (diagnosis of COVID-19) to week 6
Number of admission events to a high dependency unit or intensive care unit
Baseline (diagnosis of COVID-19) to week 6
HIV Viral Load
Time Frame: Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Identification of risk factors for COVID-19 infection within the group of PLHIV: HIV viral load
Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Time Since HIV Diagnosis
Time Frame: Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Identification of risk factors for COVID-19 infection within the group of PLHIV: Time since HIV diagnosis
Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Chronic Obstructive Pulmonary Disease
Time Frame: Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Identification of risk factors for COVID-19 infection within the group of PLHIV: Chronic Obstructive Pulmonary Disease
Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
CD4 Cell Count
Time Frame: Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Identification of risk factors for COVID-19 infection within the group of PLHIV: CD4 cell count
Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Chronic Kidney Disease
Time Frame: Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Identification of risk factors for COVID-19 infection within the group of PLHIV: Chronic Kidney Disease
Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Body Weight
Time Frame: Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)
Identification of risk factors for COVID-19 infection within the group of PLHIV: Body weight
Baseline(Last CD4 cell count and HIV-RNA before COVID-19 diagnosis, or most recent for PLHIV without COVID-19)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of Hospitalisation Events
Time Frame: Baseline (diagnosis of COVID-19) to week 6
Number of hospital admission for COVID-19 events
Baseline (diagnosis of COVID-19) to week 6
Length of Hospital Stay
Time Frame: Baseline (diagnosis of COVID-19) to week 6
Length of stay in hospital following hospitalisation for COVID-19
Baseline (diagnosis of COVID-19) to week 6
Length of Stay in ICU
Time Frame: Baseline (diagnosis of COVID-19) to week 6
Median Length of Stay in Intensive Care Unit
Baseline (diagnosis of COVID-19) to week 6
Ventilator-free Days (VFDs)
Time Frame: 6 weeks after diagnosis of COVID-19
Number of ventilator-free days
6 weeks after diagnosis of COVID-19
Extracorporeal Membrane Oxygenation (ECMO)
Time Frame: Baseline (diagnosis of COVID-19) to week 6
Length of extracorporeal membrane oxygenation
Baseline (diagnosis of COVID-19) to week 6
Need for Kidney Replacement Therapy
Time Frame: Baseline(diagnosis of COVID-19) to week 6
The number of patients requiring kidney replacement therapy
Baseline(diagnosis of COVID-19) to week 6
Measurement of Total Comorbidity Burden
Time Frame: 6 weeks after diagnosis of COVID-19
Charlson Comorbidity Index predicts the ten-year mortality for a patient who may have a range of comorbid conditions. Index consists of 19 conditions, each with an assigned weight from 1 to 6 according to the relative risk of dying. The total score is derived by summing up the weights of comorbid conditions presented. Based on the CCI score, the severity of comorbidity was categorized into three grades: mild, with CCI scores of 1-2; moderate, with CCI scores of 3-4; and severe, with CCI scores ≥5. The minimum score value is 0 and maximum is 37. A higher score means a more greater mortality risk.
6 weeks after diagnosis of COVID-19
Estimate Risk of 30-day Mortality After COVID-19 Infection
Time Frame: Baseline (diagnosis of COVID-19) to week 6
Estimate risk of 30-day mortality after COVID-19 infection using pre-COVID health status (estimated using the Veterans Health Administration COVID-19 (VACO) index). The VACO index is expressed as a percentage and calculated based on age, sex, Charlson comorbidity index (CCI), and the presence of myocardial infarction (MI) or peripheral vascular disease (PVD). The index range is from 0.2 to 48.0. A higher score means a greater risk of mortality.
Baseline (diagnosis of COVID-19) to week 6
Blood Cell Counts at COVID-19 Diagnosis
Time Frame: Baseline (Diagnosis of COVID-19)
The endpoint is the blood cell counts at COVID-19 diagnosis. The analyses will be performed with all PLHIV with COVID-19 and matched HIV-uninfected individual with COVID-19 who have data regarding the blood cell count of interest at COVID-19 diagnosis
Baseline (Diagnosis of COVID-19)
Liver Function and Tissue Damage Parameters at COVID-19 Diagnosis
Time Frame: Baseline(COVID-19 diagnosis)
The endpoint is the liver function (ALT, AST) and tissue damage (lactate dehydrogenase) parameters at COVID-19 diagnosis.
Baseline(COVID-19 diagnosis)
Inflammatory Markers and Kidney Function Tests
Time Frame: Baseline (COVID-19 Diagnosis)
Inflammatory markers and Kidney Function tests at COVID-19 diagnosis
Baseline (COVID-19 Diagnosis)
Biological Parameters at COVID-19 Diagnosis
Time Frame: Baseline(COVID-19 diagnosis)
Biological parameters (D-dimer and Ferritin levels) at COVID-19 diagnosis
Baseline(COVID-19 diagnosis)
Cholesterol, Triglyceride and Glucose Levels
Time Frame: Baseline(COVID-19 diagnosis)
Cholesterol, Triglyceride and Glucose levels at COVID-19 diagnosis
Baseline(COVID-19 diagnosis)
Red Blood Cell Count
Time Frame: Baseline(COVID-19 Diagnosis)
Red blood cell (RBC) count at COVID-19 Diagnosis
Baseline(COVID-19 Diagnosis)
Haemoglobin Levels
Time Frame: Baseline(COVID-19 diagnosis)
Haemoglobin levels at COVID-19 diagnosis
Baseline(COVID-19 diagnosis)
Haematocrit
Time Frame: Baseline (COVID-19 diagnosis)
Haematocrit levels at COVID-19 diagnosis
Baseline (COVID-19 diagnosis)
MCV Levels
Time Frame: Baseline(COVID-19 diagnosis)
Mean Corpuscular volume (MCV) levels at COVID-19 diagnosis
Baseline(COVID-19 diagnosis)
MCH Levels
Time Frame: Baseline(COVID-19 diagnosis)
Mean Corpuscular Haemoglobin levels at COVID-19 diagnosis
Baseline(COVID-19 diagnosis)
HbA1C Levels
Time Frame: Baseline(COVID-19 diagnosis)
Glycated Haemoglobin (HbA1C) levels at COVID-19 diagnosis
Baseline(COVID-19 diagnosis)
C-reactive Protein Levels
Time Frame: Baseline(COVID-19 diagnosis)
C-reactive protein levels at COVID-19 diagnosis
Baseline(COVID-19 diagnosis)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 29, 2022

Primary Completion (Actual)

March 31, 2023

Study Completion (Actual)

August 31, 2023

Study Registration Dates

First Submitted

July 29, 2022

First Submitted That Met QC Criteria

July 29, 2022

First Posted (Actual)

August 1, 2022

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

March 3, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Only anonymised summary-format data will be shared.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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