| Literature DB >> 32447007 |
Antonio Frontera1, Lorenzo Cianfanelli2, Konstantinos Vlachos3, Giovanni Landoni4, George Cremona5.
Abstract
OBJECTIVES: In areas of SARS-CoV-2 outbreak worldwide mean air pollutants concentrations vastly exceed the maximum limits. Chronic exposure to air pollutants have been associated with lung ACE-2 over-expression which is known to be the main receptor for SARS-CoV-2. The aim of this study was to analyse the relationship between air pollutants concentration (PM 2.5 and NO2) and COVID-19 outbreak, in terms of transmission, number of patients, severity of presentation and number of deaths.Entities:
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Year: 2020 PMID: 32447007 PMCID: PMC7240268 DOI: 10.1016/j.jinf.2020.05.031
Source DB: PubMed Journal: J Infect ISSN: 0163-4453 Impact factor: 6.072
Distribution of SARS-CoV-2 cases on March 31th 2020 (total number of cases, ICU admitted patients, deaths) according to each Italian region and the mean value of PM 2.5 registered in each region during February 2020, the month before the beginning of the outbreak in Italy. (Air pollution data have been collected from Air-matters app which include daily measurements from air quality measurement stations all over Italian territory. Data from P.A. Bolzano, Sardegna, Valle d'Aosta, Molise and Basilicata were unavailable at the time of writing).
| Italian regions | Mean PM 2.5 in February 2020 (µg/m3) | Total number of cases (n) | DEATHS (n) | Total number of hospitalized patients (n) | ICU admissions (n) |
|---|---|---|---|---|---|
| Lombardia | 35 | 43,208 | 7199 | 13,207 | 1324 |
| Emilia-Romagna | 30 | 14,074 | 1644 | 4118 | 353 |
| Piemonte | 39 | 9301 | 854 | 3626 | 452 |
| Veneto | 35 | 9155 | 477 | 2036 | 356 |
| Toscana | 12 | 4608 | 244 | 1413 | 293 |
| Marche | 5 | 3825 | 452 | 1115 | 169 |
| Liguria | 5 | 3416 | 428 | 1332 | 179 |
| Lazio | 12 | 3095 | 162 | 1300 | 173 |
| Campania | 12 | 2092 | 133 | 634 | 133 |
| Puglia | 11 | 1803 | 110 | 714 | 105 |
| P.A. Trento | 11 | 1746 | 164 | 434 | 80 |
| Sicilia | 7 | 1647 | 81 | 575 | 72 |
| Friuli Venezia Giulia | 23 | 1593 | 113 | 275 | 60 |
| Abruzzo | 8 | 1401 | 115 | 408 | 73 |
| P.A. Bolzano | n/a | 1371 | 76 | 311 | 62 |
| Umbria | 7 | 1078 | 37 | 219 | 43 |
| Sardegna | n/a | 722 | 31 | 141 | 28 |
| Calabria | 8 | 659 | 36 | 149 | 17 |
| Valle d'Aosta | n/a | 628 | 56 | 117 | 26 |
| Basilicata | n/a | 226 | 7 | 54 | 17 |
| Molise | n/a | 144 | 9 | 37 | 8 |
Correlations between mean PM 2.5 registered in February 2020 and COVID-19 cases in terms of total number, hospitalized patients, ICU admissions per cumulative days and deaths (data updated to 31st March 2020).
| Correlations | Pearson's coefficient (r-value) | Significance (p-value) |
|---|---|---|
| Mean PM 2.5 – Total number cases | 0.64 | 0.0074 |
| Mean PM 2.5 – ICU admissions per day | 0.65 | 0.0051 |
| Mean PM 2.5 – Deaths | 0.53 | 0.032 |
| Mean PM 2.5 – Hospitalized | 0.62 | 0.0089 |
Fig. 1Scatter plot showing the correlation of the mean concentration of PM 2.5 during February 2020 with the number of ICU admissions for severe COVID-19 infection per cumulative days (patient data updated at 31st March 2020). Regions which presented with the highest level of air pollution during the month of February 2020 are the ones presenting with more severe patients requiring ICU treatments). The size of the circles represents the proportion of population over 65 years of age.
Fig. 2Hypothesis of the SARS-CoV-2 infection mechanisms and severe lung disease induced by the combined effect of PM 2.5 and NO2. ACE-2 plays a bifunctional role as sort of “double-edged sword”: it turns off the RAS system and leads to beneficial effects but also mediates unique susceptibility to lung and CV disease in COVID-19 patients by serving as the SARS-CoV-2 receptor.