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

AbstractAn outbreak of pneumonia, caused by a novel coronavirus (COVID-19) was Identified in China in Dec 2019. This virus expanded worldwide, causing global concern. Clinical, laboratory and imaging features of this infection are characterized in some observational studies. We undertook a systematic review and meta-analysis to assess the frequency of clinical, laboratory, and CT features in COVID-19 patients.We did a systematic review and meta-analysis using three databases to identify clinical, laboratory, and CT features of rRT-PCR confirmed cases of COVID-19. Data for 3420 patients from 30 observational studies were included.Overall, the results showed that fever (84.2%, 95%CI 82.6-85.7), cough (62%, 95%CI 60-64), and fatigue (39.4%, 95%CI 37.2-41.6%) were the most prevalent symptoms in COVID-19 patients. Increased CRP level, decreased lymphocyte count, and increased D-dimer level were the most common laboratory findings. Among COVID-19 patients, 92% had a positive CT finding, most prevalently GGO (60%, 95%CI 58-62) and peripheral distribution (64%, 95%CI 60-69).These results demonstrate the clinical, paraclinical, and imaging features of COIVD-19.

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Typical chest CT features can determine the severity of Coronavirus Disease 2019 (COVID-19): a systematic review and meta-analysis of observational studies

10.21203/rs.3.rs-52445/v1 ◽

2020 ◽

Author(s):

Nahid Hashemimadani ◽

Zahra Emami ◽

Leila Janani ◽

Mohammad E. Khamseh

Keyword(s):

Observational Studies ◽

Fixed Effects ◽

Clinical Presentation ◽

Meta Analysis ◽

Chest Ct ◽

Clinical Severity ◽

Cochrane Library ◽

Forest Plot ◽

The Relationship ◽

Ct Features

Abstract Background It remains unclear whether a specific chest CT characteristic is associated with the clinical severity of COVID-19. This meta-analysis was performed to assess the relationship between different chest CT features and severity of clinical presentation in COVID-19.Methods PubMed, Embase, Scopus, web of science databases (WOS), Cochrane library, and Google scholar were searched up to May 19, 2020 for observational studies that assessed the relationship of different chest CT manifestations and the severity of clinical presentation in COVID-19 infection. Risk of bias assessment was evaluated applying the Newcastle-Ottawa Scale. A random-effects model or fixed-effects model, as appropriately, were used to pool results. Heterogeneity was assessed using Forest plot, Cochran's Q test, and I2. Publication bias was assessed applying Egger’s test.Results A total of 18 studies involving 3323 patients were included. Bronchial wall thickening (OR 11.64, 95% CI 1.81- 74.66) was more likely to be associated with severe cases of COVID-19 infection, followed by linear opacity (OR 3.27, 95% CI 1.10- 9.70), and GGO (OR 1.37, 95% CI 1.08- 1.73). However, there was no significant association between the presence of consolidation and severity of clinical presentation (OR 2.33, 95% CI 0.85- 6.36). Considering the lesion distribution bilateral lung involvement was more frequently associated with severe clinical presentation (OR 3.44, 95% CI 1.74- 6.79).Conclusions Our meta-analysis of observational studies suggests some specific chest CT features. The presence of these CT features can help the physicians to early and appropriately approach to the severe and fatal cases of COVID-19.

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The association between dietary inflammatory index and risk of central obesity in adults: An updated systematic review and meta-analysis

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000648 ◽

2020 ◽

Vol 90 (5-6) ◽

pp. 535-552 ◽

Cited By ~ 2

Author(s):

Mahdieh Abbasalizad Farhangi ◽

Mahdi Vajdi

Keyword(s):

Systematic Review ◽

Observational Studies ◽

Central Obesity ◽

Assessment Tool ◽

Weighted Mean Difference ◽

Meta Analysis ◽

Dietary Factors ◽

Cross Sectional ◽

Inflammatory Status ◽

Obesity Indices

Abstract. Backgrounds: Central obesity, as a pivotal component of metabolic syndrome is associated with numerous co-morbidities. Dietary factors influence central obesity by increased inflammatory status. However, recent studies didn’t evaluate the association between central obesity and dietary inflammation index (DII®) that give score to dietary factors according to their inflammatory potential. In the current systematic review and meta-analysis, we summarized the studies that investigated the association between DII® with central obesity indices in the general populations. Methods: In a systematic search from PubMed, SCOPUS, Web of Sciences and Cochrane electronic databases, we collected relevant studies written in English and published until 30 October 2019. The population of included studies were apparently healthy subjects or individuals with obesity or obesity-related diseases. Observational studies that evaluated the association between DII® and indices of central obesity including WC or WHR were included. Results: Totally thirty-two studies were included; thirty studies were cross-sectional and two were cohort studies with 103071 participants. Meta-analysis of observational studies showed that higher DII® scores were associated with 1.81 cm increase in WC (Pooled weighted mean difference (WMD) = 1.813; CI: 0.785–2.841; p = 0.001). Also, a non-significant increase in the odds of having higher WC (OR = 1.162; CI: 0.95–1.43; p = 0.154) in the highest DII category was also observed. In subgroup analysis, the continent, dietary assessment tool and gender were the heterogeneity sources. Conclusion: The findings proposed that adherence to diets with high DII® scores was associated with increased WC. Further studies with interventional designs are necessary to elucidate the causality inference between DII® and central obesity indices.

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