ArticleAmerican journal of translational research2020
The predictive value of serum amyloid A and C-reactive protein levels for the severity of coronavirus disease 2019.
Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Serum amyloid A concentrations, COVID-19 severity and mortality: An updated systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Pooled it
- Article
- The utility of serum amyloid A and other acute-phase reactants determination in ambulatory care COVID-19 patients.Journal of medical biochemistry · 2023Article
- Sportomics method to assess acute phase proteins in Olympic level athletes using dried blood spots and multiplex assay.Scientific reports · 2022Article
- Role of Serum Amyloid A as a Biomarker for Predicting the Severity and Prognosis of COVID-19.Journal of immunology research · 2022Article
- Hypothesis: AA amyloidosis is a factor causing systemic complications after coronavirus disease.Prion · 2021Article
- Article
- Mechanism involved in the pathogenesis and immune response against SARS-CoV-2 infection.Virusdisease · 2021Review
- Circulating Calprotectin as a Biomarker of COVID-19 Severity.Expert review of clinical immunology · 2021Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was designed to assess the levels of human serum amyloid A (SAA) and C-reactive protein (CRP) in patients with coronavirus disease 2019 (COVID-19) to determine their prognostic value in predicting the severity of disease. Patients with COVID-19 who presented with acute respiratory distress syndrome (ARDS) shared distinct characteristics. For example, the patients were older, and had higher levels of inflammatory indicators [i.e., levels of CRP, SAA, procalcitonin (PCT), and interleukin-6; CRP-to-PCT ratio; SAA-to-CRP ratio; and neutrophil-to-lymphocyte ratio (NLR)], higher inflammatory cell counts (i.e., white blood cell count and neutrophil count), and lower lymphocyte counts compared with patients without ARDS. Patients without ARDS still exhibited mild illness and had elevated SAA levels but not CRP levels. In patients with elevated SAA and CRP levels, the NLR was statistically associated with disease severity. According to the receiver operating characteristic curve analysis, the combined predictive probability of CRP and SAA levels, along with white blood cell count, showed the highest area under the curve (AUC; 0.878), and was able to distinguish between patients with and without ARDS. The cut-off level for SAA to predict the severity of COVID-19 was 92.900, with a sensitivity of 95.8%, a specificity of 53.7%, and an AUC of 0.712. For patients with elevated levels of SAA but not CRP, a mild condition was predicted. For patients with elevated levels of both SAA and CRP, and a high NLR, a severe infection was predicted, requiring medical attention. Therefore, CRP and SAA levels demonstrate a prognostic value for predicting the severity of COVID-19.
Indexed as
Identifiers
32913530PMC7476119W3086979766What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.