BackgroundIn several volcanic areas of Italy, arsenic levels exceed European regulatory limits (10 μg/L in drinking water). There is still uncertainty about health risks from arsenic at low-medium doses (<100 μg/L).ObjectivesA large population-based study using an administrative cohort of residents in the Viterbo province (Central Italy), chronically exposed to low-medium arsenic levels via drinking water, was investigated to evaluate the effects of a lifetime exposure to arsenic on mortality from cancers and chronic diseases.MethodsThe study population consisted of 165,609 residents of 17 municipalities, followed from 1990 until 2010. Average individual arsenic exposure at the first residence (AsI) was estimated through a space-time modeling approach using residential history and arsenic concentrations from water supply. A time-dependent Cumulative Arsenic dose Indicator (CAI) was calculated, accounting for daily water intake and exposure duration. Mortality Hazard Ratios (HR) were estimated by gender for different diseases using Cox proportional models, adjusting for individual and area-level confounders. A flexible non-parametric approach was used to investigate dose-response relationships.ResultsMean AsI exposure was 19.3 μg/L, and average exposure duration was 39.5 years. Associations of AsI and CAI indicators with several diseases were found, with greatest risks found for lung cancer in both sexes (HR = 2.61 males; HR = 2.09 females), myocardial infarction, peripheral arterial disease and COPD in males (HR = 2.94; HR = 2.44; HR = 2.54 respectively) and diabetes in females (HR = 2.56). For lung cancer and cardiovascular diseases dose-response relationship is modelled by piecewise linear functions revealing effects even for doses lower than 10 μg/L, and no threshold dose value was identified as safe for health.ConclusionsResults provide new evidence for risk assessment of low-medium concentrations of arsenic and contribute to the ongoing debate about the threshold-dose of effect, suggesting that even concentrations below 10 μg/L carry a mortality risk. Policy actions are urgently needed in areas exposed to arsenic like in the Viterbo province, to comply with current EU regulations.

Despite presenting with a significantly higher rate of comorbidities, transvenous lead extraction can be performed safely and successfully in octogenarians.

Purpose Diffuse large B‐cell lymphoma (DLBCL) is an aggressive lymphoma often refractory to currently available treatments (immuno‐chemotherapy/autologous‐stem‐cell‐transplantation‐ASCT). Recently, new cell therapies have been approved for patients failing two conventional treatments, CAR‐T (Chimeric‐Antigen‐Receptor‐T‐cell), committing payers in planning and implementing their use. We aim to define, using Real World Data (RWD), a reproducible procedure that allows identification of CAR‐T target population for DLBCL. Methods Through the linking of electronic healthcare datasets (EHD), we identified patients with non‐Hodgkin's Lymphoma (NHL), resident in Lazio region (2010–2015), aged ≥20 years. DLBCL patients were followed using pathological anatomy (PA) reports, up to 3 years. To be defined as relapsed after two treatment lines, patients must have had new chemotherapy and/or NHL hospitalization after ASCT or at the end of the second chemotherapy. The incident rate of second relapse (R2‐rate) was extended to the population without PA reports. Result NHL incident patients were 7384, 68% presented a PA report and, 29% of these had DLBCL codes. Patients who relapsed after two treatment lines were 47 (39%) in the subgroup of patients who received ASCT and 138 (41%) in that with second chemotherapy treatment. Patients in the two subgroups were very different in terms of age and comorbidity. The annual incident number of DLBCL was estimated to be 329 which multiplied by R2‐rate (13.7%) gives 45 patients per year eligible for CAR‐T. Discussion This study shows how RWD allows the identification of a target population with new advanced therapies. This approach is rigorous, transparent and verifiable over time.

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