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. 2021 Jul 3;13(13):3338.
doi: 10.3390/cancers13133338.

Effect of Asbestos Consumption on Malignant Pleural Mesothelioma in Italy: Forecasts of Mortality up to 2040

Enrico Oddone  1   2 , Jordy Bollon  3 , Consuelo Rubina Nava  4 , Dario Consonni  5 , Alessandro Marinaccio  6 , Corrado Magnani  3 , Antonio Gasparrini  7   8 , Francesco Barone-Adesi  3
Affiliations

Effect of Asbestos Consumption on Malignant Pleural Mesothelioma in Italy: Forecasts of Mortality up to 2040

Enrico Oddone et al. Cancers (Basel). .

Abstract

Statistical models used to forecast malignant pleural mesothelioma (MPM) trends often do not take into account historical asbestos consumption, possibly resulting in less accurate predictions of the future MPM death toll. We used the distributed lag non-linear model (DLNM) approach to predict future MPM cases in Italy until 2040, based on past asbestos consumption figures. Analyses were conducted using data on male MPM deaths (1970-2014) and annual asbestos consumption using data on domestic production, importation, and exportation. According to our model, the peak of MPM deaths is expected to occur in 2021 (1122 expected cases), with a subsequent decrease in mortality (344 MPM deaths in 2039). The exposure-response curve shows that relative risk (RR) of MPM increased almost linearly for lower levels of exposure but flattened at higher levels. The lag-specific RR grew until 30 years since exposure and decreased thereafter, suggesting that the most relevant contributions to the risk come from exposures which occurred 20-40 years before death. Our results show that the Italian MPM epidemic is approaching its peak and underline that the association between temporal trends of MPM and time since exposure to asbestos is not monotonic, suggesting a lesser role of remote exposures in the development of MPM than previously assumed.

Keywords: asbestos consumption; distributed lag non-linear model (DLNM); epidemiology; forecasts; occupational medicine; pleural mesothelioma.

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Conflict of interest statement

E.O., D.C., C.M. and F.B.-A. served as consultants for the court in trials concerning asbestos-related diseases.

Figures

Figure 1
Figure 1
Comparisons of predictions based on the five best performing models. Model A assumes an age range for exposure equal to 20–70 years and a post-ban asbestos exposure equal to 10% of that estimated in 1992. Models B, C, D, and E assume (20–70 years; 5%), (20–70 years; 20%), (20–65; 10%), and (20–65; 5%), respectively. Black dots indicate observed cases.
Figure 2
Figure 2
Fitted and predicted (after 2014) MPM cases with related 95% CI. To the left, asbestos per capita consumption in the period 1946–1992 in Italy.
Figure 3
Figure 3
Exposure–lag–response association between the number of MPM deaths and the related past asbestos exposure (tons/100,000 inhabitants). Tridimensional exposure–lag surface.
Figure 4
Figure 4
Exposure–response curve at lag 20 years (left) and lag–response curve for annual asbestos exposure of 4.2 tons/100,000 inhabitants (right), with 95% CI.
Figure 5
Figure 5
Predictions based on different assumption on asbestos exposure after 1992. Black dots indicate observed cases.
See this image and copyright information in PMC

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