Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies

Hashemi-Madani, Nahid; Emami, Zahra; Janani, Leila; Khamseh, Mohammad E.

doi:10.1016/j.clinimag.2020.12.037

Cited by 14 publications

(11 citation statements)

References 35 publications

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“…Based on this prediction, our study was planned that the CT score could be a good predictor of mortality. Many studies have investigated the relationship between score and disease severity [7,8]. However, a few studies have focused on score and prognosis.…”

Section: Introductionmentioning

confidence: 99%

Risk factors associated with mortality in ıntensive care COVID-19 patients: the importance of chest CT score and intubation timing as risk factors

et al. 2021

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Background/aim: Coronavirus disease 2019 (COVID-19) is a disease with a high rate of progression to critical illness. However, the predictors of mortality in critically ill patients admitted to the intensive care unit (ICU) are not yet well understood. In this study, we aimed to investigate the risk factors associated with ICU mortality in our hospital. Materials and methods:In this single-centered retrospective study, we enrolled 86 critically ill adult patients with COVID-19 admitted to ICU of Dokuz Eylül University Hospital (İzmir, Turkey) between 18 March 2020 and 31 October 2020. Data on demographic information, preexisting comorbidities, treatments, the laboratory findings at ICU admission, and clinical outcomes were collected. The chest computerized tomography (CT) of the patients were evaluated specifically for COVID-19 and CT score was calculated. Data of the survivors and nonsurvivors were compared with survival analysis to identify risk factors of mortality in the ICU. Results:The mean age of the patients was 71.1 ± 14.1 years. The patients were predominantly male. The most common comorbidity in patients was hypertension. ICU mortality was 62.8%. Being over 60 years old, CT score > 15, acute physiology and chronic health evaluation (APACHE) II score ≥ 15, having dementia, treatment without favipiravir, base excess in blood gas analysis ≤ -2.0, WBC > 10,000/mm³, D-dimer > 1.6 µg/mL, troponin > 24 ng/L, Na ≥ 145 mmol/L were considered to link with ICU mortality according to Kaplan-Meier curves (log-rank test, p < 0.05). The APACHE II score (HR: 1.055, 95% CI: 1.021-1.090) and chest CT score (HR: 2.411, 95% CI:1.193-4.875) were associated with ICU mortality in the cox proportional-hazard regression model adjusted for age, dementia, favipiravir treatment and troponin. Howewer, no difference was found between survivors and nonsurvivors in terms of intubation timing.Conclusions: COVID-19 patients have a high ICU admission and mortality rate. Studies in the ICU are also crucial in this respect. In our study, we investigated the ICU mortality risk factors of COVID-19 patients. We determined a predictive mortality model consisting of APACHE II score and chest CT score. It was thought that this feasible and practical model would assist in making clinical decisions.

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Section: Introductionmentioning

confidence: 99%

Risk factors associated with mortality in ıntensive care COVID-19 patients: the importance of chest CT score and intubation timing as risk factors

et al. 2021

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“…However, sociocultural approaches and published guidelines for imaging of suspected or confirmed cases of COVID-19 differ for these diagnostic modalities with a temporal and regional variation. Peripheral/subpleural ground-glass opacification with a predilection to bilateral posterior lung segments, multifocal consolidations, crazy paving pattern, vascular dilatation with interlobular septal thickening, traction bronchiectasis and reverse halo sign are some of the typical features of COVID-19 encountered on CT[ 43 ]. Whether it is COVID-19 or bronchogenic carcinoma, radiologists play an important role for the diagnosis and monitoring of disease progression in these patients.…”

Section: Implication Of Covid-19 On Radiologymentioning

confidence: 99%

Imaging diagnosis of bronchogenic carcinoma (the forgotten disease) during times of COVID-19 pandemic: Current and future perspectives

Ravikanth¹

2021

WJCO

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Patients with bronchogenic carcinoma comprise a high-risk group for coronavirus disease 2019 (COVID-19), pneumonia and related complications. Symptoms of COVID-19 related pulmonary syndrome may be similar to deteriorating symptoms encountered during bronchogenic carcinoma progression. These resemblances add further complexity for imaging assessment of bronchogenic carcinoma. Similarities between clinical and imaging findings can pose a major challenge to clinicians in distinguishing COVID-19 super-infection from evolving bronchogenic carcinoma, as the above-mentioned entities require very different therapeutic approaches. However, the goal of bronchogenic carcinoma management during the pandemic is to minimize the risk of exposing patients to COVID-19, whilst still managing all life-threatening events related to bronchogenic carcinoma. The current pandemic has forced all healthcare stakeholders to prioritize per value resources and reorganize therapeutic strategies for timely management of patients with COVID-19 related pulmonary syndrome. Processing of radiographic and computed tomography images by means of artificial intelligence techniques can facilitate triage of patients. Modified and newer therapeutic strategies for patients with bronchogenic carcinoma have been adopted by oncologists around the world for providing uncompromised care within the accepted standards and new guidelines.

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“…Therefore, imaging-based diagnosis is essential in guiding early isolation and treatment. Previous studies have suggested that typical chest CT features can be used to determine the severity of COVID-19 and to predict COVID-19 clinical progress [3][4][5][6]. A recent study published in the Lancet on January 9, 2021, has evaluated the long-term outcomes of patients with COVID-19 [7] and found that 76% of patients still have at least one persistent symptom 6 months after onset.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Changes in Chest CT Images Over 167 Days in 11 Patients with COVID-19: A Case Series and Literature Review

Liang¹,

Liu

et al. 2021

Zoonoses

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Background: Recently, CT findings have been widely reported to be associated with the clinical severity of COVID-19. However, few studies have reported the correlation between CT findings and long-term outcomes in patients with COVID-19. Case presentation: Herein, we conducted a 167 day long-term follow-up of CT examination on 11 patients with COVID-19 to evaluate their long-term prognosis, particularly in severe cases. We found that the course of COVID-19 can be divided into four stages according to the characteristics of CT images: 1) early stage (1–4 days), with chest CT showing quasi-circular ground-glass shadows and fine mesh shadows; 2) progressive stage (5–10 days), showing lesion spread through the axial interstitium along the bronchi and gradual diffusion to the whole lung; 3) recovery stage (11–74 days), showing gradual absorption of the fibre cord, ground-glass, and consolidation shadows; and 4) normal stage (74 days later), indicating no serious permanent lung injuries. Conclusions: Our data indicate that chest CT can enable early detection of COVID-19 and determination of the different stages of COVID-19. Furthermore, mild cases tended to have better prognosis, whereas severe cases still showed cord-like fibrosis in the lungs in follow-up at the 167th day after symptom onset.

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Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies

Cited by 14 publications

References 35 publications

Risk factors associated with mortality in ıntensive care COVID-19 patients: the importance of chest CT score and intubation timing as risk factors

Risk factors associated with mortality in ıntensive care COVID-19 patients: the importance of chest CT score and intubation timing as risk factors

Imaging diagnosis of bronchogenic carcinoma (the forgotten disease) during times of COVID-19 pandemic: Current and future perspectives

Dynamic Changes in Chest CT Images Over 167 Days in 11 Patients with COVID-19: A Case Series and Literature Review

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