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Factors Associated with Self-Reported Post/Long-COVID-A Real-World Data Study.

Anja Thronicke1, Maximilian Hinse1, Stefanie Weinert1

  • 1Research Institute Havelhöhe, Kladower Damm 221, 14089 Berlin, Germany.

International Journal of Environmental Research and Public Health
|December 11, 2022
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Summary
This summary is machine-generated.

Post/Long-COVID (PLC) affects quality of life. Anxiety, hyposmia, heart palpitations, and fatigue during COVID-19 increase PLC risk, with hyposmia being a novel predictor.

Keywords:
COVID-19PLCassociation factorslong COVIDpost-acute COVID-19 syndromepost/long COVIDreal-world data study

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Area of Science:

  • Medical Research
  • Public Health
  • Epidemiology

Background:

  • Post/Long-COVID (PLC) is linked to reduced health-related quality of life.
  • Risk factors contributing to PLC remain poorly understood.
  • Identifying predictors is crucial for patient management and public health strategies.

Purpose of the Study:

  • To investigate factors associated with the development of Post/Long-COVID (PLC).
  • To analyze real-world data from a national online survey to identify PLC risk factors.
  • To evaluate the predictive value of specific symptoms for PLC development.

Main Methods:

  • Prospective, real-world data study utilizing a national online survey.
  • Inclusion of 99 registered individuals reporting PLC symptoms.
  • Adjusted multivariable regression analyses performed using R software.

Main Results:

  • 13% of individuals with prior COVID-19 reported subsequent PLC.
  • COVID-19-associated anxiety, hyposmia, and heart palpitations significantly increased PLC odds (ORs 8.28, 4.74, 2.62 respectively).
  • Pre-existing COVID-19 fatigue strongly predicted PLC fatigue (OR 6.52). Hyposmia identified as a novel independent predictor.

Conclusions:

  • COVID-19-associated anxiety, hyposmia, heart palpitations, and fatigue are significant determinants for developing PLC.
  • Hyposmia is a newly identified independent predictive factor for PLC.
  • Close monitoring of patients with COVID-19-induced fatigue, heart palpitations, and anxiety is recommended due to their predictive potential for PLC.