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February 11, 2026Journal of Personalized Medicine0 citationsOpen Access

Association Between ADA (Age–D-dimer–Albumin) Score and Chest CT Severity Score in COVID-19 Pneumonia

EMEnrico MaggioGBGiacomo BonitoIOIlaria Onnis

Key Points

  • This research aims to evaluate the relationship between the ADA score and pneumonia severity measured by chest CT severity score.
  • Enrolled 350 adult patients with COVID-19-related pneumonia requiring hospitalization.
  • Performed high-resolution chest CT without intravenous contrast in most cases.
  • Calculated ADA score and chest CT severity score for all patients.
  • Conducted logistic and linear regression analyses to assess associations.
  • CT severity score significantly associated with ADA score (p = 0.009).
  • Logistic regression indicated a strong association with ICU needs (p < 0.001).
  • Optimal ADA score cut-off for predicting severe CT findings identified at 44.5 with high sensitivity.

Abstract

Background/Objectives: This study aims to assess the relation between the ADA score with the severity of pneumonia, as evaluated by chest tomography using a severity score. Methods: In this observational study we enrolled 350 consecutive adult patients (≥18 years) with COVID-19-related severe acute pneumonia requiring hospitalization, consecutively admitted to non-intensive care unit (ICU) medical wards from April 2020 to March 2022. A standard high-resolution chest computed tomography (HRCT) was performed in all cases with a multidetector CT scanner without intravenous contrast injection, except in case of suspicion of pulmonary embolism. The ADA score and semi-quantitative 25-point CT Severity Score (CTSS) were calculated for all patients. Results: A total of 350 COVID-19 patients (154 males (44%) and 196 females (56%)) were recruited. A logistic regression analysis showed that CTSS is statistically associated with the ADA score (Exp(B): 1.116; 95% CI: 1.027–1.212; p = 0.009) and the need for ICU (Exp(B): 8.719; 95% CI: 2.994–25.390; p < 0.001), while the linear regression analysis showed a relation between the CTSS and ADA score, GFR and CRP (p = 0.003) (predictors: ADA score β coeff 0.276; 95% CI: 0.041–−0.402; p = 0.017, GFR β coeff −0.219; 95% CI: −0.095–−0.001; p = 0.045, CRP β coeff −0.226; IC 95% −0.077–−0.001; p = 0.044). Furthermore, a ROC curve analysis determined the optimal ADA score cut-off values for predicting severe CT findings at 44.5 (sensibility: 0.971; 1-specificity: 0.670; AUC: 0.750; SE 0.039; p < 0.001; 95% CI: 0.674–0.826; Youden’s J index= 0.301). Conclusions: This study highlights the potential clinical utility of integrating laboratory- and imaging-based scores for a comprehensive assessment of patients hospitalized with SARS-CoV-2 infection. The combined use of these scores may enable a more accurate identification of patients with extensive pulmonary involvement and an increased prothrombotic burden at hospital admission, facilitating the early recognition of high-risk patients.

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Cite This Study

Maggio et al. (2026) studied this question.

synapsesocial.com/papers/698c1bb8267fb587c655d94ehttps://doi.org/10.3390/jpm16020102
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Association between ADA (AGE-D-DIMER-ALBUMIN) and Chest CT severity score in COVID-19 pneumonia2024
  2. 2Chest Computed Tomography Severity Score to Predict Outcome of Patients with COVID 192024
  3. 3Evaluation of the value of chest CT severity score in assessment of COVID-19 severity and short-term prognosis2024 · 1 citations
  4. 4Coronary artery calcification on low-dose chest CT is an early predictor of severe progression of COVID-19—A multi-center, multi-vendor study2021 · 8 citations
  5. 5Correlation Between Disease Severity and Chest Computed Tomography Findings in Coronavirus Disease 2019 Patients in a University Hospital of Bangladesh—An Observational Study2026