The researchers compared the individuals having presented symptoms suggestive of acute respiratory infection based on the results of their serological test. They observed that symptomatic individuals seropositive for SARS-CoV-2 had more persistent anosmia/dysgeusia, dyspnea and fatigue than those who were seronegative. The frequency of the other symptoms was equivalent.
Many people report symptoms that persist for several months after infection with SARS-CoV-2. Still poorly understood, "long COVID” is currently the subject of rigorous research in order to better define its prevalence in the general population and decipher its underlying pathophysiological mechanisms.
The persistent symptoms most commonly described in the scientific literature include dyspnea (difficulty breathing), asthenia (fatigue), joint and muscle pain, cognitive complaints, digestive complaints, and anosmia/dysgeusia (loss of smell and taste).
Apart from anosmia/dysgeusia, these clinical manifestations are not specific to COVID-19 and may, for example, be related to other infections occurring during the same period or to more restricted access to health care during the pandemic.
In order to better understand and treat long COVID, it is therefore essential for scientists to determine which persistent symptoms are more specifically associated with SARS-CoV-2 infection than with other conditions.
A general population study
A new study published in The Lancet Regional Health has examined this issue. One of the aspects that makes this research original is that it was carried out in a general population cohort.General population cohorts differ from cohorts constructed from samples of COVID patients (who, by definition, are all "symptomatic”, often with severe clinical forms or hospitalized), which are not representative of everyone with the infection.
General population cohorts therefore make it possible to understand public health problems through the creation of comparison groups, for example focusing on the severity of symptoms at the time of infection.
Another novel aspect is that the participants all underwent a serological test to screen for a history of SARS-CoV-2 infection. This differentiates this study from the majority of its counterparts, which focus on those having performed a PCR test and who have presented symptoms.
For example, this study compared the persistence of symptoms seven to eight months after the first wave of the pandemic in four groups of participants [1] distributed according to the symptoms they had during that first wave and their serological status (whether or not they had been infected with SARS-CoV-2).
Long-term symptoms according to serological status
A total of 25,910 participants from the Constances cohort (see box) completed two questionnaires during the first wave of COVID-19 to determine the presence of symptoms during the fifteen days prior. They then underwent a serological test, between May and November 2020, to identify those who had been exposed to the virus.Finally, between December 2020 and February 2021, they completed a third questionnaire, which looked at symptoms having persisted or persisting for at least two months. This questionnaire included the list of symptoms focused on during the first waves of questionnaires, as well as new symptoms presented by people with long COVID (problems with concentration and attention, chest pains, etc.).
The researchers then explored the link between infection, acute symptoms, and persistent symptoms. The results of their statistical analyses show that SARS-CoV-2 mainly affects the persistence of symptoms if it induces certain symptoms during the acute phase of the infection.
"Our findings confirm the importance of the clinical expression of the initial infectious episode in the risk of developing persistent symptoms. They can help guide public policies by providing more accurate data on the type of persistent COVID-19 symptoms and encourage the development of strategies for more effective treatment. Promoting preventive therapies and approaches, such as vaccination, that reduce symptoms in the acute phase of the disease could also have a beneficial effect on long COVID,” the study authors noted.
These findings reflect the complexity of the mechanisms that can explain the persistent symptoms, emphasizing that these symptoms may be related to the virus, to the initial clinical presentation of the infection, and to other non-specific causes.
They also suggest the importance of conducting studies on post-infectious conditions, regardless of the micro-organism in question.
Further research is under way to understand the mechanisms behind long COVID and to quantify the extent to which these persistent symptoms can be attributed to SARS-CoV-2 infection
The Constances cohort
Constances is a large-scale French epidemiological cohort, composed of a representative sample of 220,000 adults aged 18 to 69 years at the time of their inclusion. Participants are asked to have a health check every four years and to complete an annual questionnaire. Each year, their data are matched with the French national health insurance databases. This large-scale cohort is supported by the National Health Insurance Fund and financed by the Investments for the Future Program.The data collected, which concern health, socio-professional characteristics, use of health care services, and biological, physiological, physical and cognitive parameters, enable us to learn more about the determinants of many diseases.
Constances is one of three cohorts on which is based the SAPRIS-SERO project led by Inserm and ANRS Emerging Infectious Diseases - a project which aims to quantify the incidence of SARS-CoV-2 in the French population on the basis of serological tests.
[1] The members of the first group of participants all had a positive COVID-19 serological test and had reported symptoms during the first wave. Those of the second group had a positive test but no symptoms. Those of the third group had a negative test and symptoms, while those of the fourth group were asymptomatic during the first wave and with a negative test.
