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Arduino A. Mangoni

Researcher at Flinders Medical Centre

Publications -  397
Citations -  10350

Arduino A. Mangoni is an academic researcher from Flinders Medical Centre. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 42, co-authored 348 publications receiving 7835 citations. Previous affiliations of Arduino A. Mangoni include University of Cambridge & King's College London.

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Journal ArticleDOI

Large and medium sized artery abnormalities in untreated and treated hypothyroidism

TL;DR: Hypothyroidism is associated with early arterial structural and functional alterations, which involve more muscular than elastic arteries, however, these alterations are reversible by hormonal replacement therapy.
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The De Ritis ratio as prognostic biomarker of in-hospital mortality in COVID-19 patients.

TL;DR: The De Ritis ratio on admission was significantly associated with in‐hospital mortality in COVID‐19 patients and larger studies are required to confirm the capacity of this parameter to independently predict mortality in this group.
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Serum Complement C3 and C4 and COVID-19 Severity and Mortality: A Systematic Review and Meta-Analysis With Meta-Regression.

Abstract: Activation of the complement system has been observed in coronavirus disease 19 (COVID-19). We conducted a systematic review and meta-analysis with meta-regression to investigate possible differences in the serum concentrations of two routinely measured complement components, C3 and C4, in COVID-19 patients with different severity and survival status. We searched PubMed, Web of Science and Scopus, between January 2020 and February 2021, for studies reporting serum complement C3 and C4, measures of COVID-19 severity, and survival. Eligibility criteria were a) reporting continuous data on serum C3 and C4 concentrations in COVID-19 patients, -b) investigating COVID-19 patients with different disease severity and/or survival status, c) adult patients, d) English language, e) ≥10 patients, and f) full-text available. Using a random-effects model, standardized mean differences (SMD) with 95% confidence intervals (CIs) were calculated to evaluate differences in serum C3 and C4 concentrations between COVID-19 patients with low vs. high severity or survivor vs. non-survivor status. Risk of bias was assessed using the Newcastle-Ottawa scale whereas publication bias was assessed with the Begg's and Egger's tests. Certainty of evidence was assessed using GRADE. Nineteen studies in 3,764 COVID-19 patients were included in the meta-analysis. Both C3 and C4 concentrations were significantly lower in patients with high disease severity or non-survivor status than patients with low severity or survivor status (C3 SMD=-0.40, 95% CI -0.60 to -0.21, p<0.001; C4 SMD=-0.29, 95% CI -0.49 to -0.09, p=0.005; moderate certainty of evidence). Extreme between-study heterogeneity was observed (C3, I2 = 82.1%; C4, I2 = 84.4%). Sensitivity analysis, performed by sequentially removing each study and re-assessing the pooled estimates, showed that the magnitude and direction of the effect size was not modified. There was no publication bias. In meta-regression, the SMD of C3 was significantly associated with white blood cell count, C-reactive protein (CRP), and pro-thrombin time, whereas the SMD of C4 was significantly associated with CRP, pro-thrombin time, D-dimer, and albumin. In conclusion, lower concentrations of C3 and C4, indicating complement activation, were significantly associated with higher COVID-19 severity and mortality. C3 and C4 might be useful to predict adverse clinical consequences in these patients. Systematic Review Registration: PROSPERO, Registration number: CRD42021239634.
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Relative hyperglycemia is associated with complications following an acute myocardial infarction: a post-hoc analysis of HI-5 data.

TL;DR: Relative, but not absolute, glycemia during insulin treatment is independently associated with complications after an acute myocardial infarction, and future studies should investigate whether basing therapeutic glycaemic targets on relativeglycemia improves patient outcomes.