Press Release: From COVID-19 is Joint Hypermobility Linked to Self-Reported Non-Recovery

Posted on March 21, 2024 by Admin

Researchers investigated whether generalized joint hypermobility (GJH), which indicates varying connective tissue, was associated with self-reported severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection recovery failure.

Study

In the present prospective-type observational study, researchers investigate whether widespread joint hypermobility is related to an increased risk of not fully recovering from SARS-CoV-2 infection.

To this end, the researchers examined the United Kingdom COVID-19 Symptom Study Biobank (CSSB) data, linked with demographic information, COVID-19 reports, and symptom ratings from ZOE Global's COVID-19 Symptom Study digital application. Researchers from Massachusetts Hospital, Uppsala and Lund Universities, and King's College London created the mobile application.

During August 2022, 81% of respondents experienced a minimum of one COVID-19-related illness and self-reported their recovery status. All study participants completed a five-component Hakim and Grahame questionnaire (5PQ) to determine widespread joint hypermobility.

The primary research outcome was a lack of self-documented recovery from SARS-CoV-2 infection. Secondary outcomes included 5PQ scores and self-documented fatigue levels.

Binary logistic regression analysis was performed to determine whether widespread joint hypermobility predicted non-recovery after SARS-CoV-2 infection. Age, gender, ethnicity, socioeconomic situation, educational attainment, and received COVID-19 vaccinations were considered as potential variables in the sequential models.

Linear regression was used to investigate the relationship between generalized joint hypermobility and fatigue. Furthermore, mediation studies using Hayes' technique allowed the researchers to explore potential mediation of the association between widespread joint hypermobility and COVID-19 non-recovery by fatigue levels.

Results

Among 3,064 individuals who reported a minimum of one SARS-CoV-2-related infection, data on self-documented COVID-19 recovery were accessible for 2,854 participants, 82% of whom were female and 97% identified as white, with an average age of 58 years.

Among 32% of the study cohort who reported incomplete recovery from acute COVID-19, 269 individuals exhibited widespread joint hypermobility, 29% of whom were female. Among recovered individuals, 439 of 1,940 patients experienced widespread joint hypermobility.

Generalized joint hypermobility was not significantly associated with the reported SARS-CoV-2 infection risk. Nevertheless, joint hypermobility was strongly associated with incomplete recovery from acute COVID-19, with an odds ratio (OR) of 1.4. This association persisted in sequential modeling studies controlling for age, gender, ethnicity, educational attainment, multiple deprivation index, and COVID-19 vaccination doses received with an OR of 1.3.

Hypermobility also strongly predicted greater fatigue levels in models that controlled for all factors. Fatigue levels influenced the relationship between widespread joint hypermobility and COVID-19 non-recovery.

Conclusion

The study findings indicate that individuals with widespread joint hypermobility are 30% more likely to not recover from acute COVID-19. These observations provide critical information needed to identify long COVID phenotypes for screening, appropriate patient classification, and personalized treatment implementation.

Taken together, the current study emphasizes the importance of stratified individualized healthcare for individuals, which influences policy and interdisciplinary services for individuals with long-term COVID and related illnesses. These findings also have implications for clinical practice, future research, and population healthcare, including precision techniques.

There remains an urgent need to investigate predisposing variables and comorbidities associated with joint hypermobility. Future research is also needed to explore the role of pre-existing illnesses as possible risk factors, particularly those linked with numerous physical symptoms, including larger sample sizes, more diverse populations, and a stringent long COVID definition to improve the generalizability and validity of the study findings.

Source:

https://www.news-medical.net/news/20240320/Joint-hypermobility-linked-to-longer-COVID-19-recovery-time.aspx