Long COVID Classification: Findings from a Clustering Analysis in the Predi-COVID Cohort Study 2022 Fischer et al

Discussion in 'Long Covid research' started by Andy, Dec 12, 2022.

  1. Andy

    Andy Committee Member

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    Abstract

    The increasing number of people living with Long COVID requires the development of more personalized care; currently, limited treatment options and rehabilitation programs adapted to the variety of Long COVID presentations are available. Our objective was to design an easy-to-use Long COVID classification to help stratify people with Long COVID. Individual characteristics and a detailed set of 62 self-reported persisting symptoms together with quality of life indexes 12 months after initial COVID-19 infection were collected in a cohort of SARS-CoV-2 infected people in Luxembourg. A hierarchical ascendant classification (HAC) was used to identify clusters of people.

    We identified three patterns of Long COVID symptoms with a gradient in disease severity. Cluster-Mild encompassed almost 50% of the study population and was composed of participants with less severe initial infection, fewer comorbidities, and fewer persisting symptoms (mean = 2.9). Cluster-Moderate was characterized by a mean of 11 persisting symptoms and poor sleep and respiratory quality of life. Compared to the other clusters, Cluster-Severe was characterized by a higher proportion of women and smokers with a higher number of Long COVID symptoms, in particular vascular, urinary, and skin symptoms.

    Our study evidenced that Long COVID can be stratified into three subcategories in terms of severity. If replicated in other populations, this simple classification will help clinicians improve the care of people with Long COVID.

    Open access, https://www.mdpi.com/1660-4601/19/23/16018
     
  2. CRG

    CRG Senior Member (Voting Rights)

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    Supplementary Materials - .ZIP https://www.mdpi.com/article/10.3390/ijerph192316018/s1


    Table S2. Full list of features included in the clustering.

    Sociodemographic Characteristics and Initial Severity Classification

    Inclusion at home or at hospital
    Gender
    Age
    BMI
    Weight loss in last 6 months
    Smoking status
    Classification severity initial illness
    Blood type

    Comorbidities

    Hypertension
    Cardiac diseases
    Pulmonary diseases
    Asthma
    Renal diseases
    Hepatic diseases
    Neurological diseases
    Cancer
    Hematological diseases
    Obesity
    Diabetes
    Rheumatological diseases
    Malnutrition
    COPD

    Symptoms at inclusion

    Fever
    Cough
    Cough_sputum
    Cough hemoptysis
    Sore throat
    Rhinorrhea
    Earache
    Wheezing
    Chest_pain
    Myalgia
    Arthralgia
    Fatigue
    Dyspnea
    Chest tightness
    Cephalea
    Confusion
    Abdominal pain
    Nausea
    Diarrhea
    Conjunctivitis
    Skin rash
    Lymphadenopathy
    Fall
    Hemorrhage

    Persisting symptoms at 12 months by categories

    Ear Nose Throat (ENT) symptoms
    Neurological symptoms
    General symptoms
    Cardio‐respiratory symptoms
    Gastrointestinal symptoms
    Vascular symptoms
    Urinary symptoms
    Skin symptoms
     
    Peter Trewhitt and DokaGirl like this.
  3. rvallee

    rvallee Senior Member (Voting Rights)

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    Canada
    Other than in confirming, yet again, the scale and significance of the overall issue, this is just another useless study that is less comprehensive than the patient-led studies published 2 years ago.

    But denial remains firmly cemented in place. Somehow. Well, we know how, and why. But any entry-level study like this will never add anything until serious efforts get under way, with a very different approach than this.
     
    alktipping likes this.

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