l-characterized relationship between the exposure to pollutants emitted by the cement plant and the onset of chronic diseases. The excess of mortality and hospitalization for cardiovascular and cerebrovascular diseases, reported especially in older women, deserves further investigation, because of the complex cause-effect relations of these diseases. to define the most frequent health pathways of cases affected by malignant pleural mesothelioma according to those suggested and evaluated by the most recent specific guidelines. epidemiological descriptive study. 100 cases histologically or cytologically well defined during 2015-2017 are extracted from the archive of two Regional Mesothelioma Registries in Tuscany Region (Central Italy) they are randomly extracted, while in Lombardy Region (Northern Italy) cases treated by a highly-specialized health centre are collected. frequency of the diagnostic and therapeutic procedures; development and application of the checklist with evaluation of the duration of some phases of the predefined pathway. all hospital medical records were collected only for 34 cases in Tuscany and 20 cases in Lombardy. The health examinations were supplied according to each case's health condition and it was not possible to define one or more structured and standardized pathways. https://www.selleckchem.com/products/cobimetinib-gdc-0973-rg7420.html The pre-diagnostic phase has a variable duratioects of the pathway. The regional mesothelioma registries could give a high contribution thanks to their epidemiological skills which are necessary for the monitoring. to obtain the best health pathways for malignant pleural mesotheliomas, it is necessary a strong network among the health regional services with a clinical multiprofessional coordination located in hospitals characterized by a long experience on these cases, and with an active regional monitoring on all clinical, psychological, epidemiological, and legal aspects of the pathway. The regional mesothelioma registries could give a high contribution thanks to their epidemiological skills which are necessary for the monitoring. multimorbidity analysis provides essential information to support health policy in the field of prevention, clinical management, and resources allocation in order to guarantee personalized and adequate strategies for patients with multiple chronic pathologies. to present the application of a methodology based upon data retrieved in healthcare administrative databases to investigate the extent of multimorbidity (coexistence of two or more chronic condition), evaluating its epidemiology, its impact on healthcare resources, and identifying patterns of associative multimorbidity, based on non-random association among chronic diseases.DESIGN observational study based on regional healthcare data record linkage. all people aged 18 years or older permanently or temporarily resident in Emilia-Romagna Region (Northern Italy) during 2017 (amounting to 3,901,252 persons) were included. period prevalence and incidence of 32 chronic diseases; identification of patients affected by two or more concurrent chronic diss and 72% of the costs incurred by Regional Health Service was allocated to multimorbid patients (81% and 86.7%, respectively, among the elderly). healthcare administrative databases are a valuable tool to assess the frequency of multimorbidity and its impact on healthcare resources. Patients belonging to the four common patterns of multimorbidity identified in this study explained a high proportion of multimorbidity prevalence and healthcare resources use. healthcare administrative databases are a valuable tool to assess the frequency of multimorbidity and its impact on healthcare resources. Patients belonging to the four common patterns of multimorbidity identified in this study explained a high proportion of multimorbidity prevalence and healthcare resources use. to investigate heart failure (HF) hospitalizations, the following one-year follow-up, and any possible connection between rehospitalizations due to HF and patients' characteristics derived from administrative databases. retrospective longitudinal design. the study was conducted analyzing public hospital records of a district in Abruzzo Region (Central Italy), which counts more than 300,000 inhabitants. Patients hospitalized for HF from 01.01.2016 to 31.12.2017 (index event) were included in the study and followed-up for one year. frequency of repeated hospital admissions, time intervals from the index HF hospitalizations, and causes of readmissions were investigated. a total of 1,587 patients discharged alive after an index hospitalization for HF were included in the study. The mean age of the patients was 79.6 years and the majority of them were females (53.7%). The mean length of stay (LOS) for the index hospitalizations was 8.8 ±6.8 days. During the follow-up period, 336 (21.2%) patients underwenzations. The results underline the need for a close and careful follow-up after the discharge of old HF patients with multiple pathologies in order to avoid further HF admissions in a short time. this study shows that about one HF patient out of five experienced at least one re-hospitalization for HF within one year from index hospitalization. In addition to having a longer index hospitalization, these patients were older and frequently suffered from comorbidities which also led to hospitalizations. The results underline the need for a close and careful follow-up after the discharge of old HF patients with multiple pathologies in order to avoid further HF admissions in a short time. hepatitis E is a disease spread all over the world, with endemic levels varying according to ecological and socioeconomic factors. In developing countries, large epidemics spread mainly through contaminated water; in developed countries, hepatitis E has always been considered a sporadic disease, closely associated to the travels to endemic areas, especially in Southeastern Asia. In the last years, this perception is significantly changing, because of an increasing number of autochthonous cases reported in many European countries. to describe the epidemiological picture of hepatitis E in Italy from 2007 to 2019. descriptive study based on the cases reported to the special surveillance of acute viral hepatitis (SEIEVA); case-control analytical study for the analysis of risk factors associated with hepatitis E. hepatitis E cases reported to SEIEVA in the period 2007-2019. number of cases notified by year, percentages of cases exposed to known risk factors, odds ratios. from January 2007 to June 2019, 385 hepatitis E cases were notified to SEIEVA.