Predictive Value of MR-proADM in the Risk Stratification and in the Adequate Care Setting of COVID-19 Patients Assessed at the Triage of the Emergency Department.
Marilena MinieriVito N Di LecceMaria Stella LiaMassimo MauriciFrancesca LeonardisSusanna LongoLuca ColangeliCarla PaganelliStefania LevantesiAlessandro TerrinoniVincenzo MalagninoDomenico J BrunettiAlfredo GiovannelliMassimo PieriCaterina SagnelliCartesio D'AgostiniMariachiara GabrieleSergio BernardiniJacopo M LegramantePublished in: Diagnostics (Basel, Switzerland) (2022)
In the past two pandemic years, Emergency Departments (ED) have been overrun with COVID-19-suspicious patients. Some data on the role played by laboratory biomarkers in the early risk stratification of COVID-19 patients have been recently published. The aim of this study is to assess the potential role of the new biomarker mid-regional proadrenomedullin (MR-proADM) in stratifying the in-hospital mortality risk of COVID-19 patients at the triage. A further goal of the present study is to evaluate whether MR-proADM together with other biochemical markers could play a key role in assessing the correct care level of these patients. Data from 321 consecutive patients admitted to the triage of the ED with a COVID-19 infection were analyzed. Epidemiological; demographic; clinical; laboratory; and outcome data were assessed. All the biomarkers analyzed showed an important role in predicting mortality. In particular, an increase of MR-proADM level at ED admission was independently associated with a threefold higher risk of IMV. MR-proADM showed greater ROC curves and AUC when compared to other laboratory biomarkers for the primary endpoint such as in-hospital mortality, except for CRP. This study shows that MR-proADM seems to be particularly effective for early predicting mortality and the need of ventilation in COVID-19 patients admitted to the ED.
Keyphrases
- emergency department
- sars cov
- coronavirus disease
- end stage renal disease
- magnetic resonance
- contrast enhanced
- ejection fraction
- healthcare
- chronic kidney disease
- electronic health record
- newly diagnosed
- systematic review
- big data
- peritoneal dialysis
- quality improvement
- computed tomography
- pain management
- respiratory syndrome coronavirus
- chronic pain
- deep learning
- extracorporeal membrane oxygenation