دورية أكاديمية
أعرض في EDS

Long COVID exhibits clinically distinct phenotypes at 3–6 months post-SARS-CoV-2 infection: results from the P4O2 consortium

التفاصيل البيبلوغرافية
العنوان: Long COVID exhibits clinically distinct phenotypes at 3–6 months post-SARS-CoV-2 infection: results from the P4O2 consortium
المؤلفون: Annemie M W J Schols, Anke H Maitland-van der Zee, Joop P van den Bergh, Sebastiaan Holverda, Esther J Nossent, Els J M Weersink, Marianne A van de Pol, Firdaus A A Mohamed Hoesein, Lisanne T Schuurman, Ivo van der Lee, Jelle M Blankestijn, Mahmoud I Abdel-Aziz, Nadia Baalbaki, Somayeh Bazdar, Inés Beekers, Rosanne J H C G Beijers, Lizan D Bloemsma, Merel E B Cornelissen, Debbie Gach, Laura Houweling, John J L Jacobs, Reneé Jonker, Paulien M A Linders, Lieke C E Noij, Daphne W Schaminee, Brigitte Sondermeijer, J J Miranda Geelhoed, Yolanda de Wit-van Wijck
المصدر: BMJ Open Respiratory Research, Vol 11, Iss 1 (2024)
بيانات النشر: BMJ Publishing Group, 2024.
سنة النشر: 2024
المجموعة: LCC:Medicine
LCC:Diseases of the respiratory system
مصطلحات موضوعية: Medicine, Diseases of the respiratory system, RC705-779
الوصف: Background Four months after SARS-CoV-2 infection, 22%–50% of COVID-19 patients still experience complaints. Long COVID is a heterogeneous disease and finding subtypes could aid in optimising and developing treatment for the individual patient.Methods Data were collected from 95 patients in the P4O2 COVID-19 cohort at 3–6 months after infection. Unsupervised hierarchical clustering was performed on patient characteristics, characteristics from acute SARS-CoV-2 infection, long COVID symptom data, lung function and questionnaires describing the impact and severity of long COVID. To assess robustness, partitioning around medoids was used as alternative clustering.Results Three distinct clusters of patients with long COVID were revealed. Cluster 1 (44%) represented predominantly female patients (93%) with pre-existing asthma and suffered from a median of four symptom categories, including fatigue and respiratory and neurological symptoms. They showed a milder SARS-CoV-2 infection. Cluster 2 (38%) consisted of predominantly male patients (83%) with cardiovascular disease (CVD) and suffered from a median of three symptom categories, most commonly respiratory and neurological symptoms. This cluster also showed a significantly lower forced expiratory volume within 1 s and diffusion capacity of the lung for carbon monoxide. Cluster 3 (18%) was predominantly male (88%) with pre-existing CVD and diabetes. This cluster showed the mildest long COVID, and suffered from symptoms in a median of one symptom category.Conclusions Long COVID patients can be clustered into three distinct phenotypes based on their clinical presentation and easily obtainable information. These clusters show distinction in patient characteristics, lung function, long COVID severity and acute SARS-CoV-2 infection severity. This clustering can help in selecting the most beneficial monitoring and/or treatment strategies for patients suffering from long COVID. Follow-up research is needed to reveal the underlying molecular mechanisms implicated in the different phenotypes and determine the efficacy of treatment.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2052-4439
Relation: https://bmjopenrespres.bmj.com/content/11/1/e001907.full; https://doaj.org/toc/2052-4439
DOI: 10.1136/bmjresp-2023-001907
URL الوصول: https://doaj.org/article/08cab7016402442e9e9b869081c263bd
رقم الأكسشن: edsdoj.08cab7016402442e9e9b869081c263bd
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20524439
DOI:10.1136/bmjresp-2023-001907