COVID-19 early warning score: a multi-parameter screening tool to identify highly suspected patients

Song, Cong Ying; Xu, Jin; He, Jun-Hua; Lu, Yuping

doi:10.1101/2020.03.05.20031906

Cited by 153 publications

(210 citation statements)

References 17 publications

(22 reference statements)

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“…The guarantors had full access to all the data in the study, take responsibility for the integrity of the data and the accuracy of the data analysis, and had final responsibility for the decision to submit for publication. 35 unclear low low high Meng, Wang, et al 12 high low high high Song, Xu, et al 30 high unclear low high Yu, Shao, et al 24 unclear unclear unclear high…”

Section: Acknowledgmentsmentioning

confidence: 99%

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Wynants

Calster

Bonten

et al. 2020

Preprint

165

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words)Objective To review and critically appraise published and preprint reports of models that aim to predict either (i) presence of existing COVID-19 infection, (ii) future complications in individuals already diagnosed with COVID-19, or (iii) models to identify individuals at high risk for COVID-19 in the general population.Design Rapid systematic review and critical appraisal of prediction models for diagnosis or prognosis of COVID-19 infection. Data sourcesPubMed, EMBASE via Ovid, Arxiv, medRxiv and bioRxiv until 24 th March 2020. Study selectionStudies that developed or validated a multivariable COVID-19 related prediction model. Two authors independently screened titles, abstracts and full text. Data extractionData from included studies were extracted independently by at least two authors based on the CHARMS checklist, and risk of bias was assessed using PROBAST.Data were extracted on various domains including the participants, predictors, outcomes, data analysis, and prediction model performance.Results 2696 titles were screened. Of these, 27 studies describing 31 prediction models were included for data extraction and critical appraisal. We identified three models to predict hospital admission from pneumonia and other events (as a proxy for covid-19 pneumonia) in the general population; 18 diagnostic models to detect COVID-19 infection in symptomatic individuals (13 of which were machine learning utilising computed tomography (CT) results); and ten prognostic models for predicting mortality risk, progression to a severe state, or length of hospital stay. Only one of these studies used data on COVID-19 cases outside of China.Most reported predictors of presence of COVID-19 in suspected patients included age, body temperature, and signs and symptoms. Most reported predictors of severe prognosis in

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Section: Acknowledgmentsmentioning

confidence: 99%

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Wynants

Calster

Bonten

et al. 2020

Preprint

165

View full text Add to dashboard Cite

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“…Elevated levels of blood neutrophils are an early indicator of SARS-CoV-2 infection, predicting severe respiratory disease and worse outcomes (2,3). Over the past decade, our group and many others have revealed a pathogenic role for neutrophil-derived neutrophil extracellular traps (NETs) in various thrombo-inflammatory states including sepsis (4,5), thrombosis (6)(7)(8), and respiratory failure (9,10).…”

Section: Introductionmentioning

confidence: 99%

Neutrophil extracellular traps in COVID-19

Zuo¹,

Yalavarthi²,

Shi³

et al. 2020

JCI Insight

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1,386

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“…In COVID-19, elevated levels of blood neutrophils predict severe respiratory disease and unfavorable outcomes [2,3]. Neutrophil-derived neutrophil extracellular traps (NETs) play a pathogenic role in many thrombo-inflammatory states including sepsis [4,5], thrombosis [6][7][8], and respiratory failure [9,10].…”

Section: Introductionmentioning

confidence: 99%

Neutrophil extracellular traps and thrombosis in COVID-19

Zuo

Yalavarthi

et al. 2020

Preprint

129

115

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Background: Early studies of patients with COVID-19 have demonstrated markedly dysregulated coagulation and a high risk of morbid arterial and venous thrombotic events. While elevated levels of blood neutrophils and neutrophil extracellular traps (NETs) have been described in patients with COVID-19, their potential role in COVID-19-associated thrombosis remains unknown. Objectives: To elucidate the potential role of hyperactive neutrophils and NET release in COVID-19-associated thrombosis. Patients/Methods: This is a retrospective, case-control study of patients hospitalized with COVID-19 who developed thrombosis (n=11), as compared with gender- and age-matched COVID-19 patients without clinical thrombosis (n=33). In addition to capturing clinical data, we measured remnants of NETs (cell-free DNA, myeloperoxidase-DNA complexes, and citrullinated histone H3) and neutrophil-derived S100A8/A9 (calprotectin) in patient sera. Results: The majority of patients (9/11) were receiving at least prophylactic doses of heparinoids at the time thrombosis was diagnosed. As compared with controls, patients with COVID-19-associated thrombosis had significantly higher blood levels of markers of NETs (cell-free DNA, myeloperoxidase-DNA complexes, citrullinated histone H3) and neutrophil activation (calprotectin). The thrombosis group also had higher levels of D-dimer, CRP, ferritin, and platelets, but not troponin or neutrophils. Finally, there were strong associations between markers of hyperactive neutrophils (calprotectin and cell-free DNA) and D-dimer. Conclusion: Elevated levels of neutrophil activation and NET formation in patients hospitalized with COVID-19 are associated with higher risk of morbid thrombotic complications. These observations underscore the need for urgent investigation into the potential relationship between NETs and unrelenting thrombosis in COVID-19.

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COVID-19 early warning score: a multi-parameter screening tool to identify highly suspected patients

Cited by 153 publications

References 17 publications

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Neutrophil extracellular traps in COVID-19

Neutrophil extracellular traps and thrombosis in COVID-19

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