Age and chest computed tomography severity score are predictors of long-COVID

Merve Erkan1

  • 1University of Health Sciences, Bursa Yuksek Ihtisas Training and Research Hospital, Department of Radiology, Bursa, Turkey.

Insights

Age and chest CT severity score are key predictors of long-COVID. These factors can help identify patients at higher risk for developing persistent symptoms after acute coronavirus disease 2019 (COVID-19).

Area of Science:

  • Medical Research
  • Pulmonology
  • Infectious Diseases

Background:

  • Approximately one-third of coronavirus disease 2019 (COVID-19) survivors experience long-term symptoms, a condition known as long-COVID.
  • Factors like age and COVID-19 severity influence long-COVID development.
  • Initial damage from acute COVID-19 can manifest in blood assays and chest CT scans.

Purpose of the Study:

  • To investigate the association between initial blood assay and chest CT findings and the development of long-COVID.
  • To identify predictors of long-COVID among patients hospitalized with acute COVID-19.

Main Methods:

  • A cohort of patients with acute COVID-19 was studied.
  • Laboratory tests and chest CT scans were performed upon hospital admission.
  • A multivariable regression model was used to determine factors independently associated with long-COVID.

Main Results:

  • The study included 60 patients with long-COVID and 97 without.
  • Age and chest CT severity score were significantly different between groups.
  • Multivariable analysis revealed that chest CT severity score (OR: 1.059) and age (OR: 0.953) were independently associated with long-COVID.

Conclusions:

  • Higher chest CT severity scores and older age are independently associated with an increased risk of developing long-COVID.
  • These parameters may serve as valuable tools for predicting long-COVID risk in patients recovering from acute COVID-19.
Abstract

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