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Mid-regional Proadrenomedullin Biomarker Predicts Coronavirus Disease 2019 Clinical Outcomes: A US-Based Cohort Study
Natalie J Atallah1,2,3, Vahe S Panossian4, Christine J Atallah5
1Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.
Insights
Mid-regional proadrenomedullin (MR-proADM) effectively predicts severe COVID-19 outcomes, including mechanical ventilation or death. Elevated MR-proADM levels identify high-risk patients, aiding early intervention and improving clinical management strategies.
Area of Science:
- Biomarkers
- Infectious Diseases
- Critical Care Medicine
Background:
- Mid-regional proadrenomedullin (MR-proADM) is released upon endothelial damage and has shown potential in predicting coronavirus disease 2019 (COVID-19) outcomes.
- Previous studies indicated a correlation between MR-proADM levels and COVID-19 prognosis.
Purpose of the Study:
- To evaluate baseline MR-proADM as a predictor for a broad spectrum of clinical outcomes in hospitalized COVID-19 patients.
- To compare the predictive performance of MR-proADM against other established biomarkers.
Main Methods:
- Utilized data from the Boston Area COVID-19 Consortium (BACC) Bay Tocilizumab Trial.
- Included patients with available biomarker data, excluding those admitted directly to the ICU.
- Assessed an MR-proADM cutoff of 0.87 nmol/L for predicting clinical outcomes.
Main Results:
- A total of 182 patients were analyzed; 11.0% experienced mechanical ventilation or death within 28 days.
- Patients with MR-proADM >0.87 nmol/L had a 21.1% rate of mechanical ventilation or death, versus 4.5% for those with MR-proADM ≤0.87 nmol/L (P < .001).
- MR-proADM >0.87 nmol/L independently predicted mechanical ventilation/death, ICU admission, prolonged hospitalization, and worse COVID-19 ordinal scale outcomes.
Conclusions:
- MR-proADM serves as a valuable biomarker for early risk stratification in COVID-19 patients.
- It aids in detecting severe disease progression and can outperform other common biomarkers in predicting mortality.
Background:
Mid-regional proadrenomedullin (MR-proADM) is a biomarker released following endothelial damage. Studies have shown a correlation in predicting coronavirus disease 2019 (COVID-19) outcomes with MR-proADM levels. Our study aimed to investigate baseline MR-proADM as a predictor of a wider range of clinical outcomes of varying severity in patients admitted with COVID-19, and to compare to other biomarkers.
Methods:
Data from the Boston Area COVID-19 Consortium (BACC) Bay Tocilizumab Trial was used in this study. Patients with biomarker determinations, and not admitted to the intensive care unit (ICU) on admission, were included. MR-proADM cutoff of 0.87 nmol/L was assessed in predicting clinical outcomes.
Results:
Of 182 patients, 11.0% were mechanically ventilated or dead within 28 days. Of patients with MR-proADM >0.87 nmol/L, 21.1% were mechanically ventilated or dead within 28 days, compared with 4.5% of those with MR-proADM ≤0.87 nmol/L (P < .001). The sensitivity, specificity, negative predictive value, and positive predictive value of MR-proADM cutoff of 0.87 nmol/L in predicting mechanical ventilation or death were 75%, 65%, 95%, and 21%, respectively, with an area under the receiver operating characteristic curve of 0.76. On multivariable logistic regression analysis, MR-proADM >0.87 nmol/L was independently associated with mechanical ventilation or death, ICU admission, prolonged hospitalization beyond day 4, and day 4 COVID-19 ordinal scale equal to or worse than day 1.
Conclusions:
MR-proADM functions as a valuable biomarker for the early risk stratification and detection of severe disease progression of patients with COVID-19. In the prediction of death, MR-proADM performed better compared to many other commonly used biomarkers.
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