Correlation between Chest Computed Tomography Score and Laboratory Biomarkers in the Risk Stratification of COVID-19 Patients Admitted to the Emergency Department

Abstract

Background: It has been reported that mid-regional proadrenomedullin (MR-proADM) could be considered a useful tool to stratify the mortality risk in COVID-19 patients upon admission to the emergency department (ED). During the COVID-19 outbreak, computed tomography (CT) scans were widely used for their excellent sensitivity in diagnosing pneumonia associated with SARS-CoV-2 infection. However, the possible role of CT score in the risk stratification of COVID-19 patients upon admission to the ED is still unclear. Aim: The main objective of this study was to assess if the association of the CT findings alone or together with MR-proADM results could ameliorate the prediction of in-hospital mortality of COVID-19 patients at the triage. Moreover, the hypothesis that CT score and MR-proADM levels together could play a key role in predicting the correct clinical setting for these patients was also evaluated. Methods: Epidemiological, demographic, clinical, laboratory, and outcome data were assessed and analyzed from 265 consecutive patients admitted to the triage of the ED with a SARS-CoV-2 infection. Results and conclusions: The accuracy results by AUROC analysis and statistical analysis demonstrated that CT score is particularly effective, when utilized together with the MR-proADM level, in the risk stratification of COVID-19 patients admitted to the ED, thus helping the decision-making process of emergency physicians and optimizing the hospital resources.

Correlation between Serum Biomarkers and Lung Ultrasound in COVID-19: An Observational Study

“…While this may be perceived as a less favorable outcome, the potential for improved diagnostic measures lies in recognizing the complementary role of serum biomarkers when integrated with lung ultrasound biomarkers. This synergy has the potential to enhance prognostication accuracy, underscoring the importance of a comprehensive approach that harnesses the strengths of both modalities for a more nuanced and clinically relevant assessment [30].…”

Evaluating Mortality Predictors in COVID-19 Intensive Care Unit Patients: Insights into Age, Procalcitonin, Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Ferritin Lactate Index

“…Such a strategy has been validated as both safe and highly effective in a systematic review, contingent upon the careful optimization of patient selection criteria [22]. Research has consistently highlighted several risk factors for severe COVID-19, including older age, the presence of pre-existing comorbidities (such as cardiovascular disease, diabetes, chronic respiratory disease, and cancer), obesity, and specific laboratory markers indicative of systemic inflammation or organ dysfunction [21,23,24]. Recognizing these predictors is crucial for early intervention, risk stratification, and optimizing resource allocation in overwhelmed healthcare settings.…”

“…This includes antiviral medications, immune modulators, supportive care interventions, and, critically, the development and deployment of effective vaccines. The rapid development of multiple vaccines against SARS-CoV-2 represents a monumental achievement in the fight against COVID-19, offering hope for controlling the pandemic [5,13,24].…”