Articles: sars-cov-2.
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Meta Analysis
Elevated cardiac troponin I as a predictor of outcomes in COVID-19 hospitalizations: a meta-analysis.
Globally, coronavirus is causing more social, economic and healthcare disruption than expected. The emerging literature has reported the complications of coronavirus, and the mortality and risk factors involved, including cardiac injury and multisystem organ failure. In this meta-analysis, we aim to evaluate the association of elevated troponin I levels with outcomes in COVID-19 hospitalized patients. ⋯ In meta-analysis, patients with elevated troponin I levels had higher odds of poor outcomes compared to better outcomes with pooled OR of 7.92 (95% CI: 3.70-16.97; p<0.00001) with 70% heterogeneity (p=0.0005). Our meta-analysis suggests that COVID-19 patients with elevated troponin I levels had a higher risk of poor outcomes. Hence, evaluating the troponin I levels might be helpful in preventing risk of cardiac complications and other organ dysfunction.
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Journal of global health · Dec 2020
Meta AnalysisWhat is the evidence for transmission of COVID-19 by children in schools? A living systematic review.
It is of paramount importance to understand the transmission of SARS-CoV-2 in schools, which could support the decision-making about educational facilities closure or re-opening with effective prevention and control measures in place. ⋯ There is limited high-quality evidence available to quantify the extent of SARS-CoV-2 transmission in schools or to compare it to community transmission. Emerging evidence suggests lower IAR and SARS-CoV-2 positivity rate in students compared to school staff. Future prospective and adequately controlled cohort studies are necessary to confirm this finding.
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Emerg Microbes Infect · Dec 2020
Meta AnalysisMeta-analysis of diagnostic performance of serology tests for COVID-19: impact of assay design and post-symptom-onset intervals.
Serology detection is recognized for its sensitivity in convalescent patients with COVID-19, in comparison with nucleic acid amplification tests (NAATs). This article aimed to evaluate the diagnostic accuracy of serologic methods for COVID-19 based on assay design and post-symptom-onset intervals. Two authors independently searched PubMed, Cochrane library, Ovid, EBSCO for case-control, longitudinal and cohort studies that determined the diagnostic accuracy of serology tests in comparison with NAATs in COVID-19 cases and used QUADAS-2 for quality assessment. ⋯ Lateral flow immunoassay (LFIA) had a lower sensitivity than enzyme-linked immunoassay (ELISA) and chemiluminescent immunoassay (CLIA). Serology tests will play an important role in the clinical diagnosis for later stage COVID-19 patients. ELISA tests, detecting TAB or targeting combined N and S proteins had a higher diagnostic sensitivity compared to other methods.
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Cochrane Db Syst Rev · Nov 2020
Review Meta AnalysisThoracic imaging tests for the diagnosis of COVID-19.
The respiratory illness caused by SARS-CoV-2 infection continues to present diagnostic challenges. Early research showed thoracic (chest) imaging to be sensitive but not specific in the diagnosis of coronavirus disease 2019 (COVID-19). However, this is a rapidly developing field and these findings need to be re-evaluated in the light of new research. This is the first update of this 'living systematic review'. This update focuses on people suspected of having COVID-19 and excludes studies with only confirmed COVID-19 participants. ⋯ Our findings indicate that chest CT is sensitive and moderately specific for the diagnosis of COVID-19 in suspected patients, meaning that CT may have limited capability in differentiating SARS-CoV-2 infection from other causes of respiratory illness. However, we are limited in our confidence in these results due to the poor study quality and the heterogeneity of included studies. Because of limited data, accuracy estimates of chest X-ray and ultrasound of the lungs for the diagnosis of suspected COVID-19 cases should be carefully interpreted. Future diagnostic accuracy studies should pre-define positive imaging findings, include direct comparisons of the various modalities of interest on the same participant population, and implement improved reporting practices. Planned updates of this review will aim to: increase precision around the accuracy estimates for chest CT (ideally with low risk of bias studies); obtain further data to inform accuracy of chest X-rays and ultrasound; and obtain data to further fulfil secondary objectives (e.g. 'threshold' effects, comparing accuracy estimates across different imaging modalities) to inform the utility of imaging along different diagnostic pathways.
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Case Reports Meta Analysis
Recurrent SARS-CoV-2 RNA positivity after COVID-19: a systematic review and meta-analysis.
Present study aimed to estimate the incidence of recurrent SARS-CoV-2 RNA positivity after recovery from COVID-19 and to determine the factors associated with recurrent positivity. We searched the PubMed, MedRxiv, BioRxiv, the Cochrane Library, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry for studies published to June 12, 2020. Studies were reviewed to determine the risk of bias. ⋯ The pooled estimate of the interval from disease onset to recurrence was 35.4 days (95% CI 32.65-38.24 days), and from the last negative to the recurrent positive result was 9.8 days (95% CI 7.31-12.22 days). Patients with younger age and a longer initial illness were more likely to experience recurrent SARS-CoV-2 positivity, while patients with diabetes, severe disease, and a low lymphocyte count were less likely to experience. Present study concluded that the incidence of recurrent SARS-CoV-2 positivity was 14.8% suggesting further studies must be conducted to elucidate the possibility of infectious individuals with prolonged or recurrent RNA positivity.