Arduino Mangoni

Prof. Arduino Mangoni

Flinders University
orcid

Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 December 2003 in British Journal of Clinical Pharmacology
Verified
Journal Article
Closed access
PDF file
Arduino MangoniArduino Mangoni
Arduino Mangoni
SJS. H. D. Jackson
S. H. D. Jackson

4 December 2020 in Molecules
Verified
Journal Article
Open access
PDF file
Alessandro FoisAlessandro Fois
Alessandro Fois
Panagiotis PaliogiannisPanagiotis Paliogiannis
Panagiotis Paliogiannis
VSValentina Scano
Valentina Scano
SCStefania Cau
Stefania Cau
SBSergio Babudieri
Sergio Babudieri
AZAngelo Zinellu
Angelo Zinellu
Background. The rapid onset of a systemic pro-inflammatory state followed by acute respiratory distress syndrome is the leading cause of mortality in patients with COVID-19. We performed a retrospective observational study to explore the capacity of different complete blood cell count (CBC)-derived inflammation indexes to predict in-hospital mortality in this group. Methods. The neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), platelet to lymphocyte ratio (PLR), mean platelet volume to platelet ratio (MPR), neutrophil to lymphocyte × platelet ratio (NLPR), monocyte to lymphocyte ratio (MLR), systemic inflammation response index (SIRI), systemic inflammation index (SII), and the aggregate index of systemic inflammation (AISI) were calculated on hospital admission in 119 patients with laboratory confirmed COVID-19. Results. Non-survivors had significantly higher AISI, dNLR, NLPR, NLR, SII, and SIRI values when compared to survivors. Similarly, Kaplan–Meier survival curves showed significantly lower survival in patients with higher AISI, dNLR, MLR, NLPR, NLR, SII, and SIRI. However, after adjusting for confounders, only the SII remained significantly associated with survival (HR = 1.0001; 95% CI, 1.0000–1.0001, p = 0.029) in multivariate Cox regression analysis. Conclusions. The SII on admission independently predicts in-hospital mortality in COVID-19 patients and may assist with early risk stratification in this group.

17 November 2020 in Cellular and Molecular Life Sciences
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Journal Article
Closed access
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TPThị Hằng Giang Phan
Thị Hằng Giang Phan
Panagiotis PaliogiannisPanagiotis Paliogiannis
Panagiotis Paliogiannis
Gheyath NasrallahGheyath Nasrallah
Gheyath Nasrallah
RGRoberta Giordo
Roberta Giordo
AEAli Eid
Ali Eid
Gianfranco PintusGianfranco Pintus
Gianfranco Pintus


18 July 2016 in Medical Journal of Australia
Verified
Journal Article
Closed access
GGGenevieve M Gabb
Genevieve M Gabb
Arduino MangoniArduino Mangoni
Arduino Mangoni
CACraig S Anderson
Craig S Anderson
DCDiane Cowley
Diane Cowley
JDJohn S Dowden
John S Dowden
LALeonard Arnolda
Leonard Arnolda
Updated recommendations from the National Heart Foundation take into account the findings of recent meta-analyses, systematic reviews and randomised controlled trials

13 October 2018 in European Journal of Clinical Investigation
Verified
Journal Article
Open access
PDF file
GEGian Luca Erre
Gian Luca Erre
Panagiotis PaliogiannisPanagiotis Paliogiannis
Panagiotis Paliogiannis
FCFloriana Castagna
Floriana Castagna
Arduino MangoniArduino Mangoni
Arduino Mangoni
Ciriaco CarruCiriaco Carru
Ciriaco Carru
AZAngelo Zinellu
Angelo Zinellu
Background: We conducted a meta‐analysis to review the available evidence regarding the associations between peripheral blood neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) and the presence of rheumatoid arthritis (RA).Methods: PubMed, Web of Science and Scopus, from inception to January 2018, were searched for studies reporting on NLR and PLR in RA in comparison with healthy subjects. Standardized mean difference (SMD) was calculated with a confidence interval (CI) of 95%.Results: Thirteen NLR studies (1550 RA patients and 1128 healthy controls) and 8 PLR studies (380 RA patients and 305 healthy controls) were included in the meta‐analysis. NLR and PLR were significantly higher in patients with RA when compared to controls (SMD = 0.79, 95% CI 0.55‐1.03; P < 0.001 and SMD = 0.66, 95% CI 0.43‐0.88; P < 0.001, respectively).Conclusions: The NLR and PLR are significantly associated with the presence of RA. Further studies are required to ascertain the potential clinical use of these simple and relatively inexpensive markers in RA diagnosis.