Mediastinal lymphadenopathy may predict 30-day mortality in patients with COVID-19

Celal Satici1, Ferhat Cengel2, Okan Gurkan2

  • 1Department of Chest Diseases, Gaziosmanpasa Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.

Clinical Imaging
|February 5, 2021
PubMed

Insights

Enlarged mediastinal lymphadenopathy in patients with coronavirus disease 2019 (COVID-19) is associated with increased 30-day mortality. This finding, along with older age and consolidation patterns, should prompt mediastinal evaluation in all COVID-19 patients.

Area of Science:

  • Medical Imaging
  • Infectious Diseases
  • Pulmonology

Background:

  • Limited data exists on the prognostic impact of mediastinal lymphadenopathy in COVID-19 patients.
  • Mediastinal lymph node status is crucial in various thoracic conditions.

Purpose of the Study:

  • To investigate the association between mediastinal lymphadenopathy and 30-day mortality in hospitalized COVID-19 patients.
  • To identify independent predictors of mortality in COVID-19.

Main Methods:

  • Retrospective cross-sectional study of 650 laboratory-confirmed COVID-19 patients.
  • Exclusion of patients with comorbidities affecting mediastinal lymph nodes.
  • Analysis of CT scans by blinded radiologists and logistic regression for mortality predictors.

Main Results:

  • Enlarged mediastinal lymphadenopathy was present in 9.2% of patients and associated with older age and comorbidities.
  • A higher mortality rate was observed in patients with enlarged mediastinal lymphadenopathy (11/60 vs 45/590).
  • Independent predictors of 30-day mortality included older age, consolidation pattern, and enlarged mediastinal lymphadenopathy.

Conclusions:

  • Enlarged mediastinal lymphadenopathy is an independent predictor of increased 30-day mortality in COVID-19 patients.
  • CT scan findings, including mediastinal lymphadenopathy, are important prognostic indicators.
  • Routine mediastinal evaluation is recommended for all hospitalized COVID-19 patients.
Abstract