| Literature DB >> 35246098 |
Felice Giordano1, Valeria Margherita Petrolini2, Domenico Spagnolo3, Rosanna Maria Fidente3, Lucrezia Lanciotti3, Lucilla Baldassarri3, Francesco Luca Moretti3, Elena Brambilla2, Davide Lonati2, Azzurra Schicchi2, Carlo Alessandro Locatelli2, Rosa Draisci3.
Abstract
BACKGROUND: In response to the COVID-19 health emergency, mass media widely spread guidelines to stop the virus transmission, leading to an excessive and unaware use of detergents and disinfectants. In Italy and in other countries this tendency caused a significant increase of exposures to these products in 2020. Evaluating data collected by the Italian Pavia Poison Centre (PPC), this study intends to examine the relationship between the COVID-19 lockdown and the variations of exposures to specific product categories possibly associated to the containment measures implemented. Simultaneously, this work shows the effectiveness of the European Product Categorisation System (EuPCS) in surveillance activities of dangerous chemicals.Entities:
Keywords: Disinfectants; Hand sanitizers; Hazardous substances; Poison control centers; Poisoning; Preventive health services; Public health surveillance; SARS-CoV-2 virus
Mesh:
Year: 2022 PMID: 35246098 PMCID: PMC8896978 DOI: 10.1186/s12889-022-12860-3
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Main steps of the case series study performed
Product categories (EuPCS) involved in patients’ inadvertent exposures: observed and expected values in the lockdown period (March–May 2020)
| Variables | March–May 2020 | Increase (%) | ||
|---|---|---|---|---|
| Observed | Expected | |||
| Adhesives and sealants (PC-ADH) | 26 | 27.5 | −5.5 | .557 |
| Air care products (PC-AIR) | 35 | 36.4 | −3.8 | .698 |
| Products for animals (PC-ANI) | 2 | 1.5 | + 33.3 | *1.000 |
| Art materials (PC-ART) | 44 | 39.7 | + 10.8 | .244 |
| Cleaning, care and maintenance products (excludes biocidal products) (PC-CLN) | 840 | 848.3 | −1.0 | .582 |
| Bleaching products for cleaning or laundry use (PC-CLN-3) | 322 | 308.8 | + 4.3 | .132 |
| Drain cleaning products (PC-CLN-5) | 59 | 68.5 | ||
| Colourants (PC-COL) | 1 | 1.4 | −28.6 | *1.000 |
| Construction products (PC-CON) | 10 | 8.5 | + 17.6 | *.465 |
| Detergents and auxiliaries for laundry and dishwashing (excludes biocidal products) (PC-DET) | 278 | 281.1 | −1.1 | .720 |
| Laundry detergents (PC-DET-1) | 66 | 76.7 | ||
| - LLDC | 35 | 46.1 | ||
| Dishwashing detergents (PC-DET-3) | 127 | 119.1 | +6.6 | .138 |
| E-liquids and mixtures for electronic cigarettes (PC-ELQ) | 13 | 14.0 | −7.1 | .632 |
| Fertilisers and fertilising products (PC-FER) | 45 | 46.4 | −3.0 | .653 |
| Fuels (and fuel additives) (PC-FUE) | 70 | 78.6 | −10.9 | .081 |
| Inks, toners and related printing materials (PC-INK) | 12 | 16.8 | ||
| Paints and coatings (and related auxiliaries) (PC-PNT) | 36 | 37.4 | −3.7 | .683 |
| Pyrotechnic products (PC-PYR) | – | – | – | – |
| Products for chemical or technical processes (PC-TEC) | 121 | 124.2 | −2.6 | .618 |
| Biocidal products (PP-BIO) | 382 | 364.3 | ||
| -Disinfectants (PP-BIO-1 to PP-BIO-5) | 265 | 246.0 | ||
| Biocidal products for human hygiene (PP-BIO-1) | 79 | 72.6 | + 8.8 | .108 |
| Disinfectants and algaecides not intended for direct application to humans or animals (PP-BIO-2) | 182 | 170.4 | ||
| Plant protection products (excludes biocidal products) (PP-PRD) | 76 | 80.7 | −5.8 | .161 |
| Cosmetics | 289 | 276.5 | + 4.5 | .145 |
| Handwashing soaps (excludes biocidal products) | 23 | 18.4 | ||
| Handwashing gel products (excludes biocidal products) | 52 | 47.4 | ||
*Fisher Exact Test
Fig. 2Distribution of monthly exposures managed by the PPC per year
Fig. 3Exposure cases managed by the PPC: comparison between January–February and March–May of 2017–2019 and 2020
Biological and poisoning characteristics of patients exposed: observed and expected values in the lockdown period (March–May 2020)
| Variables | March–May 2020 | % of increase | ||
|---|---|---|---|---|
| Observed | Expected | |||
| Gender | ||||
| Male | 1293 | 1325.9 | −2.5 | .077 |
| Female | 1233 | 1223.5 | + 0.8 | .599 |
| Unknown | – | 0.5 | −100 | 1 |
| Age class (years) | ||||
| < 1 | 65 | 70.4 | −7.7 | .208 |
| 1–5 | 959 | 933.2 | + 2.8 | .099 |
| 6–10 | 80 | 82.8 | −3.4 | .544 |
| 11–19 | 96 | 117.0 | ||
| 20–65 | 1020 | 1027.3 | −0.7 | .659 |
| 66+ | 247 | 258.4 | −4.4 | .156 |
| Unknown | 59 | 54.8 | + 7.7 | .291 |
| Circumstance | ||||
| Inadvertent | 2181 | 2187.5 | −0.3 | .786 |
| Occupational | 118 | 133.6 | ||
| Intentional | 328 | 339.6 | −3.4 | .242 |
| Unknown | 17 | 17.4 | −2.3 | .839 |
| Caller | ||||
| Hospital | 1279 | 1433.5 | ||
| Non-hospital | 1247 | 1128.3 | ||
| Citizen | 1083 | 971.1 | ||
| Route of exposure | ||||
| Ingestion | 1701 | 1709.5 | −0.5 | .693 |
| Inhalation | 393 | 409.1 | −3.9 | .114 |
| Dermal | 197 | 208.5 | −5.5 | .103 |
| Ocular | 166 | 155.5 | +6.8 | .083 |
| Injection | 8 | 8.7 | −8.0 | *.745 |
| Symptoms | ||||
| Yes | 1413 | 1451.9 | ||
| Minor | 1102 | 1105.1 | −0.3 | .856 |
| Moderate | 288 | 320.4 | ||
| Severe-Fatal | 23 | 27.0 | −14.8 | .139 |
| Total | 2526 | 2544.9 | −0.7 | .467 |
*Fisher Exact Test