Learning from pathophysiological aspects of COVID-19 clinical, laboratory, and high-resolution CT features: a retrospective analysis of 128 cases by disease severity

Azab, Sameh M; Zytoon, Ashraf Anas; Kasemy, Zeinab A.; Omar, S.; Ewida, Suzy Fayez; Sakr, Karim Ayman; Ella, Tarek Fawzy Abd

doi:10.1007/s10140-020-01875-1

Cited by 6 publications

(10 citation statements)

References 64 publications

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“…A total of 41 patients (4.9%) experienced severe or critical diseases in the Silicon Valley region, USA [54]. Apart from that, COVID-19 severity was found to be 51.6% in Egypt [55]. South Korea reported 11.96% of cases as severe [56].…”

Section: Discussionmentioning

confidence: 97%

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The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China

et al. 2021

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To analyse the prevalence of severe and critical COVID-19 cases and its determinants, a systematic review and meta-analysis were conducted using Review Manager. Four English and two Chinese databases were used to identify and explore the relationships between the severity of COVID-19 and its determinants, with no restrictions on publication date. The odds ratio and 95% CI were combined to assess the influencing level of all factors. Twenty-three articles containing a total of 15,828 cases of COVID-19 were included in this systematic review. The prevalence of severe and critical COVID-19 cases was 17.84% and 4.9%, respectively. A total of 148 factors were identified, which included behavioural, symptom, comorbidity, laboratory, radiographic, exposure, and other factors. Among them, 35 factors could be included in the meta-analysis. Specifically, for example, the male (OR 1.55, 95% CI 1.42–1.69) and elderly (OR 1.06, 95% CI 1.03–1.10) populations tended to experience severe and critical illness. Patients with cough, dyspnea, fatigue, fever, and gastrointestinal symptoms could have severe and critical diseases. Regarding laboratory results, albumin, aspartate aminotransferase, creatinine, D-dimer, fibrinogen, neutrophils, procalcitonin, platelets, and respiratory rate were potential factors that could be used to predict the severity of COVID.

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Section: Discussionmentioning

confidence: 97%

“…In consideration of symptom factors, cough [31,39,55,72], dyspnoea [22,73,74], fatigue [73][74][75], and fever [30,31,39,72] were the main symptoms of severe COVID-19. Unsurprisingly, the existence of these symptoms could lead to severe illness.…”

Section: Discussionmentioning

confidence: 99%

The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China

et al. 2021

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“…A study demonstrated that age and monocyte–lymphocyte ratio may predict imaging progression on chest CT in COVID-19 patients [ 34 ]. Other studies indicated moderate positive correlations between CT severity score and transferrin, lactate dehydrogenase, troponin, and inflammation-related factors of leucocytes, neutrophils, and IL-2R ( r range 0.45–0.60) [ 17 , 35 ], although we were unable to verify those correlations due to lack of data.…”

Section: Discussionmentioning

confidence: 67%

“…Second, although this study analyzed the effects of pulmonary opacity scores at admission on disease severity, ICU admission and respiratory failure during the whole study period, we only recorded CT at the time of admission; hence it was impossible to analyze the change in pulmonary opacity scores throughout the study period. Third, due to lack of data, we did not analyze associations between CT pulmonary opacity score and some other characteristics, e.g., transferrin, leucocytes and platelet–lymphocyte ratios, which had been reported to be associated with pulmonary opacity score in the previous studies [ 17 , 35 , 49 ]. For the same reason, we did not analyze the association between CT findings and pulmonary embolism although a previous study has showed a high pulmonary embolism prevalence at CT pulmonary angiography in patients testing positive for COVID-19 [ 50 ].…”

Section: Discussionmentioning

confidence: 99%

Associations between CT pulmonary opacity score on admission and clinical characteristics and outcomes in patients with COVID-19

et al. 2021

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This study investigated associations between chest computed tomography (CT) pulmonary opacity score on admission and clinical features and outcomes in COVID-19 patients. The retrospective multi-center cohort study included 496 COVID-19 patients in Jiangsu province, China diagnosed as of March 15, 2020. Patients were divided into four groups based on the quartile of pulmonary opacity score: ≤ 5%, 6–20%, 21–40% and 41% +. CT pulmonary opacity score was independently associated with age, single onset, fever, cough, peripheral capillary oxygen saturation, lymphocyte count, platelet count, albumin level, C-reactive protein (CRP) level and fibrinogen level on admission. Patients with score ≥ 41% had a dramatic increased risk of severe or critical illness [odds ratio (OR), 15.58, 95% confidence interval (CI) 3.82–63.53), intensive care unit (ICU)] admission (OR, 6.26, 95% CI 2.15–18.23), respiratory failure (OR, 19.49, 95% CI 4.55–83.40), and a prolonged hospital stay (coefficient, 2.59, 95% CI 0.46–4.72) compared to those with score ≤ 5%. CT pulmonary opacity score on admission, especially when ≥ 41%, was closely related to some clinical characteristics and was an independent predictor of disease severity, ICU admission, respiratory failure and long hospital stay in patients with COVID-19.

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“…Furthermore, according to the results of the reviewed articles, the extent of lung involvement varied in the studies, indicating the severity of the disease (9,(11)(12)(13)(14)(15)(16)(17)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36). Pan et al (30) reported the highest severity of lung abnormalities in chest CT about ten days after the primary inception of symptoms for recovered COVID-19 patients (without intensive respiratory distress during the disease period).…”

Section: Discussionmentioning

confidence: 99%

Classification of High-Resolution Computed Tomography Manifestations for COVID-19 Patients: A Systematic Review

Alibabaei

Rohollahpour

Tahmasbi

2021

Jundishapur J Health Sci

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Context: The early detection of COVID-19 is of paramount importance for the disease treatment and control. As real-time reverse-transcription polymerase chain reaction indicates a low sensitivity, the computed tomography of patients' chest can play an effective role in the diagnosis of COVID-19, particularly for patients with false-negative RT-PCR tests. It is also effective in monitoring the clinical trends and assessing the severity of the disease. Objectives: Accordingly, this study aimed to review the different manifestations of the COVID-19 infections in High-Resolution Computed Tomography images of patients' chests and analyze the distribution of the disease in the lungs. The results can contribute to providing a comprehensive and concise reference on the appearance of various types of involvement and lung lesions and the extent of these lesions in the COVID-19 patients. Data Sources: We systematically searched four major indexing databases (namely PubMed, Science Direct, Google Scholar, and Cochrane Central) for articles published by May 2021 using the following keywords: High-Resolution Computed Tomography (HRCT), COVID-19, and Manifestations. Results: Overall, 29 studies addressing the role of HRCT in detecting and evaluating the manifestations of the COVID-19 infection in patients' lungs as Ground Glass Opacification (GGO), Consolidation, Irregular Solid Nodules, Fibrous Stripes, Crazy Paving Pattern, Air Bronchogram Sign, etc. were reviewed. Conclusions: GGO was the most common finding, as reported in 96.6% of the reviewed articles, followed by Consolidations (65.5%) and Irregular Solid Nodules (55.2%). Most patients revealed the disease process as a bilateral distribution in the peripheral areas of the lung.

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Learning from pathophysiological aspects of COVID-19 clinical, laboratory, and high-resolution CT features: a retrospective analysis of 128 cases by disease severity

Cited by 6 publications

References 64 publications

The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China

The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China

Associations between CT pulmonary opacity score on admission and clinical characteristics and outcomes in patients with COVID-19

Classification of High-Resolution Computed Tomography Manifestations for COVID-19 Patients: A Systematic Review

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