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Burden of Care of Long COVID Patients After Hospital Discharge (BLOC)

M

Mikhail Dziadzko, MD, PhD

Status

Completed

Conditions

COVID-19
COVID Long

Treatments

Other: COVID-19 required hospitalisation

Study type

Observational

Funder types

Other

Identifiers

NCT05073328
BLOC-HCL/PELyon

Details and patient eligibility

About

Since March 2020, 3.5 million people have been infected with SARS-COV2 in France, and about 250 000 patients have been hospitalized and successfully discharged.

In a majority of cases, the evolution of the disease is favourable, but both hospitalized or patients with a mild form of the disease may present so called "Long-COVID" syndrome - a patient-created term which describes the effects of COVID-19 that continue for weeks or months beyond the initial symptoms. There is thus an urgent need to evaluate the long-term medical resource utilisation (MRU) and health care burden incurred by patients with Long-COVID, as well as risk factors for Long-COVID.

We will use the SNDS database to extract and analyze the data relevant to the project objectives. Indeed, the SNDS database is the French NHS database providing individual anonymous information of primary and secondary care linked at individual level (data from PMSI, the French DRG-based medical information system). It currently covers more than 98% of the French population.

For the first time, our study will provide an estimation of MRU and associated costs of hospitalized COVID-19 patients. It will also provide an estimation of the rate of long COVID forms developed by hospitalized COVID patients, as well as detailed MRU and costs incurred by long COVID patients compared to patients with non-long COVID-19.

Full description

Since March 2020, 3.5 million people have been infected with SARS-COV2 in France, and about 250 000 patients have been hospitalized and successfully discharged . Currently, the French epidemiological situation shows a stable and high level of new cases of COVID-19 (around 20 000 per day) and associated hospitalizations (around 9 000 per week).

COVID19 may present mild or severe forms, the latter possibly requiring conventional (20%) or intensive care unit (ICU) hospitalization (5%). In most cases, the evolution of the disease is favorable, but both hospitalized or patients with a mild form of the disease may present so called "Long-COVID" syndrome - a patient-created term which describes the effects of COVID-19 that continue for weeks or months beyond the initial symptoms. Persistent symptoms have been described in 5 to 36% of the patients, i.e. symptoms persisting for 4 weeks or more after the onset of the disease. There is growing evidence of the post-COVID-19 chronic syndrome as a postinfectious entity, including but not limited to a range of symptoms ranging from cough and shortness of breath, to fatigue, headache, palpitations, chest pain, joint pain, physical limitations, depression, and insomnia, persisting for longer than two months. This post-COVID chronic syndrome is often called "long COVID". As it is more and more described since the start of the pandemic, the French national health agency (Haute Autorité de Santé, HAS) has recently published specific recommendations for the management of patients presenting long COVID forms.

Although the evidence is still scarce, patients who have been hospitalized for COVID19 may be at higher risk of presenting long COVID. Consequently, they may require more healthcare resource use. As they are easy to identify through administrative databases, we propose to focus on hospitalized and discharged COVID-19 patients with persisting symptoms, in order to investigate their healthcare resource use and corresponding costs, and to compared them to patients not presenting the long COVID form of the disease.

The objectives of this study are:

  1. to assess "long-COVID" patients' health care burden (costs) and resource use and to compare them to COVID patients not developing the long form of the disease
  2. to identify predictive variables for the development of "long-COVID",
  3. to investigate whether different patterns of long-COVID healthcare consumption may be identified.

This will be performed using the Système National des Données de Santé (SNDS) French medico-administrative database.

Enrollment

68,822 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Aged 18 years or more
  • Patients hospitalized between February 1st and June 30st 2020 for COVID-19 as the main diagnosis, using the following ICD-10 discharge codes: U07.10, U07.11, U07.14, U07.15
  • Patients alive at the date of discharge

Exclusion criteria

  • not affiliated to the French Social Security
  • not meeting inclusion criteria

Trial design

68,822 participants in 3 patient groups

COVID-19 patients
Description:
COVID-19 patients discharged from all French hospitals from 01 February to 30 June 2020
Treatment:
Other: COVID-19 required hospitalisation
sub group The "long COVID" patients
Description:
this cohort will include patients with at least 4 weeks of claims and specific health care use after hospital admission from the initial cohort (COVID-19 patients) According to the Haute Autorité de Santé (HAS), the most frequent symptoms in the context of long COVID are the following : * Major fatigue * Dyspnoea, cough * Chest pain, often tightness type, palpitations * Problems with concentration and memory, lack of words * Headache, paraesthesia, burning sensation * Disorders of smell, taste, tinnitus, dizziness, odynophagia * Muscle, tendon or joint pain * Sleep disorders (especially insomnia) * Irritability, anxiety * Abdominal pain, nausea, diarrhea, decrease or loss of appetite * Pruritus, urticaria, pseudo-frostbite * Fever, chills
Treatment:
Other: COVID-19 required hospitalisation
sub group "non long COVID" patients
Description:
all other patients from the initial cohort (COVID-19 patients )
Treatment:
Other: COVID-19 required hospitalisation

Trial contacts and locations

1

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Central trial contact

Mikhail DZIADZKO, MD, PhD; Manon BELHASSEN, MD, PhD

Data sourced from clinicaltrials.gov

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