[Excess deaths for haematological tumours in Falconara Marittima (Marche Region, Central Italy): short story from the epidemiological survey up to now]. / EPICHANGE/3. Eccesso di morti per tumori ematologici a Falconara Marittima: breve storia dall'indagine epidemiologica a oggi.

API is a company refining petroleum products located in Falconara Marittima (Ancona Province, Marche Region, Central Italy). Thanks to the pressure made by citizens' committees, which considered the plant as a risk source for the population residing in the surroundings municipalities, Marche Region as institution asked for an epidemiological survey. This survey found a significative excess in deaths for haematological tumours in women and in a sub-group of retired and elderly. The results were published in one report and two scientific journals, and were also presented during a public meeting. It was urgent to made public health intervention, which were called for, but up to now nothing has been done. Here, the reconstruction of this affair, from the start of the epidemiological survey up to the more recent development in terms of public health.

Spatial variation in mortality risk for hematological malignancies near a petrochemical refinery: A population-based case-control study.

INTRODUCTION: The study investigated the geographic variation of mortality risk for hematological malignancies (HMs) in order to identify potential high-risk areas near an Italian petrochemical refinery. MATERIAL AND METHODS: A population-based case-control study was conducted and residential histories for 171 cases and 338 sex- and age-matched controls were collected. Confounding factors were obtained from interviews with consenting relatives for 109 HM deaths and 267 controls. To produce risk mortality maps, two different approaches were applied and compared. We mapped (1) adaptive kernel density relative risk estimation for case-control studies which estimates a spatial relative risk function using the ratio between cases and controls' densities, and (2) estimated odds ratios for case-control study data using Generalized Additive Models (GAMs) to smooth the effect of location, a proxy for exposure, while adjusting for confounding variables. RESULTS: No high-risk areas for HM mortality were identified among all subjects (men and women combined), by applying both approaches. Using the adaptive KDE approach, we found a significant increase in death risk only among women in a large area 2-6 km southeast of the refinery and the application of GAMs also identified a similarly-located significant high-risk area among women only (global p-value<0.025). Potential confounding risk factors we considered in the GAM did not alter the results. CONCLUSION: Both approaches identified a high-risk area close to the refinery among women only. Those spatial methods are useful tools for public policy management to determine priority areas for intervention. Our findings suggest several directions for further research in order to identify other potential environmental exposures that may be assessed in forthcoming studies based on detailed exposure modeling.

Risk of death for hematological malignancies for residents close to an Italian petrochemical refinery: a population-based case-control study.

PURPOSE: We investigated the risk of death for hematological malignancies (HMs) in the area surrounding an Italian petrochemical refinery, where atmospheric concentrations of benzene (known carcinogen) had not been adequately monitored in the past. METHODS: We performed a population-based case-control study, using conditional logistic regression to estimate odds ratios (ORs) of HM death, with 95 % confidence intervals (CIs), and p trends, in relation to tertiles of time-weighted average residential proximity to the refinery. We identified 177 HM deaths and 349 sex- and age-matched controls from municipal files. Confounding factors were investigated from interviews with consenting relatives for 109 HM deaths and 178 matched controls. RESULTS: For males and females combined, risk of HM death was unrelated to residential proximity. For females, ORs of HM death by increasing tertiles of proximity were 1, 2.74 (95 % CI 1.48-5.09, significant) and 1.49 (95 % CI 0.76-2.92) (p trend 0.184). For the subgroup of persons who plausibly spent most of their time at home (long-term retired, homemakers or unemployed, 53 cases, 79 controls), the ORs of leukemia plus non-Hodgkin lymphoma death (38 cases, 56 controls) by increasing tertiles of proximity were 1, 3.44 (95 % CI 1.04-11.37, significant) and 3.25 (95 % CI 0.82-12.87) (p trend 0.083). CONCLUSIONS: No increased risk of HM death for males and females combined living close to the refinery was found. However, the findings for females and a subgroup plausibly spending most of their time at home suggest a relation between increased risk of HM death and residential proximity to the refinery.