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An Italian individual-level data study investigating on the association between air pollution exposure and Covid-19 severity in primary-care setting.
BMC Public Health. 2021 05 12; 21(1):902.BP

Abstract

BACKGROUND

Several studies have been focusing on the potential role of atmospheric pollutants in the diffusion and impact on health of Covid-19. This study's objective was to estimate the association between ≤10 μm diameter particulate matter (PM10) exposure and the likelihood of experiencing pneumonia due to Covid-19 using individual-level data in Italy.

METHODS

Information on Covid-19 patients was retrieved from the Italian IQVIA® Longitudinal Patient Database (LPD), a computerized network of general practitioners (GPs) including anonymous data on patients' consultations and treatments. All patients with a Covid-19 diagnosis during March 18th, 2020 - June 30th, 2020 were included in the study. The date of first Covid-19 registration was the starting point of the 3-month follow-up (Index Date). Patients were classified based on Covid-19-related pneumonia registrations on the Index date and/or during follow-up presence/absence. Each patient was assigned individual exposure by calculating average PM10 during the 30-day period preceding the Index Date, and according to GP's office province. A multiple generalized linear mixed model, mixed-effects logistic regression, was used to assess the association between PM10 exposure tertiles and the likelihood of experiencing pneumonia.

RESULTS

Among 6483 Covid-19 patients included, 1079 (16.6%) had a diagnosis of pneumonia. Pneumonia patients were older, more frequently men, more health-impaired, and had a higher individual-level exposure to PM10 during the month preceding Covid-19 diagnosis. The mixed-effects model showed that patients whose PM10 exposure level fell in the second tertile had a 30% higher likelihood of having pneumonia than that of first tertile patients, and the risk for those who were in the third tertile was almost doubled.

CONCLUSION

The consistent findings toward a positive association between PM10 levels and the likelihood of experiencing pneumonia due to Covid-19 make the implementation of new strategies to reduce air pollution more and more urgent.

Authors+Show Affiliations

IQVIA Solutions Italy S.r.l., RWS, Via Fabio Filzi 29, 20124, Milan, Italy. valeria.pegoraro@iqvia.com.IQVIA Solutions Italy S.r.l., RWS, Via Fabio Filzi 29, 20124, Milan, Italy.IQVIA Solutions Italy S.r.l., RWS, Via Fabio Filzi 29, 20124, Milan, Italy.IQVIA Solutions Italy S.r.l., RWS, Via Fabio Filzi 29, 20124, Milan, Italy.IQVIA Solutions Italy S.r.l., RWS, Via Fabio Filzi 29, 20124, Milan, Italy.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33980180

Citation

Pegoraro, Valeria, et al. "An Italian Individual-level Data Study Investigating On the Association Between Air Pollution Exposure and Covid-19 Severity in Primary-care Setting." BMC Public Health, vol. 21, no. 1, 2021, p. 902.
Pegoraro V, Heiman F, Levante A, et al. An Italian individual-level data study investigating on the association between air pollution exposure and Covid-19 severity in primary-care setting. BMC Public Health. 2021;21(1):902.
Pegoraro, V., Heiman, F., Levante, A., Urbinati, D., & Peduto, I. (2021). An Italian individual-level data study investigating on the association between air pollution exposure and Covid-19 severity in primary-care setting. BMC Public Health, 21(1), 902. https://doi.org/10.1186/s12889-021-10949-9
Pegoraro V, et al. An Italian Individual-level Data Study Investigating On the Association Between Air Pollution Exposure and Covid-19 Severity in Primary-care Setting. BMC Public Health. 2021 05 12;21(1):902. PubMed PMID: 33980180.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - An Italian individual-level data study investigating on the association between air pollution exposure and Covid-19 severity in primary-care setting. AU - Pegoraro,Valeria, AU - Heiman,Franca, AU - Levante,Antonella, AU - Urbinati,Duccio, AU - Peduto,Ilaria, Y1 - 2021/05/12/ PY - 2021/02/15/received PY - 2021/04/26/accepted PY - 2021/5/13/entrez PY - 2021/5/14/pubmed PY - 2021/5/18/medline KW - Air pollution KW - Covid-19 KW - Individual-level data KW - Particulate matter KW - Pneumonia KW - Primary-care SP - 902 EP - 902 JF - BMC public health JO - BMC Public Health VL - 21 IS - 1 N2 - BACKGROUND: Several studies have been focusing on the potential role of atmospheric pollutants in the diffusion and impact on health of Covid-19. This study's objective was to estimate the association between ≤10 μm diameter particulate matter (PM10) exposure and the likelihood of experiencing pneumonia due to Covid-19 using individual-level data in Italy. METHODS: Information on Covid-19 patients was retrieved from the Italian IQVIA® Longitudinal Patient Database (LPD), a computerized network of general practitioners (GPs) including anonymous data on patients' consultations and treatments. All patients with a Covid-19 diagnosis during March 18th, 2020 - June 30th, 2020 were included in the study. The date of first Covid-19 registration was the starting point of the 3-month follow-up (Index Date). Patients were classified based on Covid-19-related pneumonia registrations on the Index date and/or during follow-up presence/absence. Each patient was assigned individual exposure by calculating average PM10 during the 30-day period preceding the Index Date, and according to GP's office province. A multiple generalized linear mixed model, mixed-effects logistic regression, was used to assess the association between PM10 exposure tertiles and the likelihood of experiencing pneumonia. RESULTS: Among 6483 Covid-19 patients included, 1079 (16.6%) had a diagnosis of pneumonia. Pneumonia patients were older, more frequently men, more health-impaired, and had a higher individual-level exposure to PM10 during the month preceding Covid-19 diagnosis. The mixed-effects model showed that patients whose PM10 exposure level fell in the second tertile had a 30% higher likelihood of having pneumonia than that of first tertile patients, and the risk for those who were in the third tertile was almost doubled. CONCLUSION: The consistent findings toward a positive association between PM10 levels and the likelihood of experiencing pneumonia due to Covid-19 make the implementation of new strategies to reduce air pollution more and more urgent. SN - 1471-2458 UR - https://www.unboundmedicine.com/medline/citation/33980180/An_Italian_individual_level_data_study_investigating_on_the_association_between_air_pollution_exposure_and_Covid_19_severity_in_primary_care_setting_ L2 - https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-10949-9 DB - PRIME DP - Unbound Medicine ER -