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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Predictors of fatality including radiographic findings in adults with COVID-19
Kaiyan Li1,2, Dian Chen1,2, Shengchong Chen1,2
1Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Insights
Older age, elevated lactate dehydrogenase (LDH), and early CT scan severity scores predict coronavirus disease 2019 (COVID-19) fatality. These factors help identify high-risk patients for prompt intervention.
Area of Science:
- Medical research
- Infectious diseases
- Radiology
Background:
- Older age and elevated d-dimer are known risk factors for COVID-19.
- The predictive value of early radiographic changes for COVID-19 fatality was previously unknown.
Purpose of the Study:
- To investigate early predictors of fatality in COVID-19 patients.
- To determine if early radiographic changes on CT scans correlate with COVID-19 mortality.
Main Methods:
- Retrospective review of 102 laboratory-confirmed COVID-19 patients admitted between January 31 and March 5, 2020.
- Analysis of patient demographics, laboratory results (including LDH and d-dimer), and chest CT findings.
- Independent review of CT images by two radiologists to assess severity and lung involvement.
Main Results:
- Non-survivors were older and had higher rates of decreased lymphocyte count, elevated LDH, and elevated d-dimer on admission compared to survivors.
- Older age and elevated LDH were independent risk factors for fatality.
- In patients with CT scans within the first week, higher total severity score and more involved lung lobes were associated with fatality. Higher total severity score was the sole independent predictor in this subset.
Conclusions:
- Older age, elevated LDH, and early CT scan severity scores are potential predictors of fatality in COVID-19 patients.
- These findings can assist clinicians in identifying patients with poor prognosis early on.
- Early identification enables timely clinical intervention for high-risk individuals.
Background:
Older age and elevated d-dimer are reported risk factors for coronavirus disease 2019 (COVID-19). However, whether early radiographic change is a predictor of fatality remains unknown.
Methods:
We retrospectively reviewed records of all laboratory-confirmed patients admitted to a quarantine unit at Tongji Hospital, a large regional hospital in Wuhan, China, between January 31 and March 5, 2020. Confirmed cases were defined by positive RT-PCR detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in throat-swab specimens. Chest CT images were reviewed independently by two radiologists. The Tongji Hospital ethics committee approved this study.
Results:
A total of 102 patients were confirmed to have SARS-CoV-2 infection. As of March 25, 85 confirmed patients were discharged, 15 died, and 2 remained hospitalized. When compared with survivors, non-survivors were older (median age, 69 [interquartile range, 58-77] vs. 55 [44-66], p = 0.003), and more likely to have decreased lymphocyte count (0.5 vs. 0.9 × 109/L, p = 0.006), elevated lactate dehydrogenase (LDH) (569.0 vs. 272.0 U/L, p < 0.001), elevated d-dimer (> 1 μg/mL, 86% vs. 37%, p = 0.002) on admission. Older age and elevated LDH were independent risk factors for fatality in a multivariate regression model included the above variables. In a subset of patients with CT images within the first week, higher total severity score, and more involved lung lobes (5 involved lobes) in CT images within the first week were significantly associated with fatality. Moreover, in this subset of patients, higher total severity score was the only independent risk factor in a multivariate analysis incorporating the above mentioned variables.
Conclusions:
Older age, elevated LDH on admission, and higher severity score of CT images within the first week are potential predictors of fatality in adults with COVID-19. These predictors may help clinicians identify patients with a poor prognosis at an early stage.
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