Epidemiologia & Prevenzione最新文献

Gli autori hanno aggiornato la tabella 1 (p. 14) e la tabella 2 (p. 15) attribuendo le stime di NO2 all'Health Effects Institute (HEI) anziché alla World Health Organization (WHO). Di conseguenza, è stato modificato il paragrafo "Health impact estimation" a p. 14. I PDF nei quali sono segnalate le modifiche sono disponibili alla pagina dell'articolo.

Registers collecting data from clinical practice (real world data) have gained increasing interest in recent years in the scientific, administrative, and regulatory fields. The value of longitudinal data collection in deepening knowledge about a specific pathology and its healthcare complexity is increasingly recognized. This article describes the development, organizational structure, and technical characteristics of the Italian Multiple Sclerosis and Related Disorders Register (RISM). This multicentre and prospective study gathers demographic, clinical, and epidemiological data from the Italian population with multiple sclerosis and related diseases. The study, officially launched in 2015, but containing data collected since the 1990's, currently involves the active participation of 136 specialized clinical centres and more than 80,000 enrolled patients. The analysis of data in RISM allows for a detailed description of the characteristics of multiple sclerosis and related diseases, providing new insights useful for healthcare planning, cost evaluation, treatment efficacy and safety assessment, and scientific research studies. The main demographic and clinical data of enrolled patients are reported, with a focus on specific study cohorts. In a continuous effort to improve data quality, RISM has implemented specific quality indicators. Starting from the RISM experience, crucial aspects such as the institutional recognition of the disease register, the contribution that register can provide in pharmacovigilance studies, the organizational and management challenges, and privacy issues are discussed.

Objectives: to evaluate the accuracy (completeness of case recording and diagnostic quality) of the Lombardy Mesothelioma Registry (Registro Mesoteliomi Lombardia, RML) through a comparison with the autopsy database of Pavia University (years 2000-2016).

Design: validation study.

Setting and participants: all mesothelioma records with incidence date between 01.01.2000 and 16.09.2016 were extracted from the RML. They were cross-referenced with deaths from any asbestos-related disease subjected to a forensic autopsy extracted from the archive of the Department of Public Health, Experimental and Forensic Medicine of Pavia University.

Main outcomes measures: using the postmortem diagnosis by Pavia University as the gold standard, RML sensitivity and specificity and their 95% confidence intervals (95%CI) were calculated using the Agresti-Coull formula.

Results: based on 141 deaths, the RML showed very good accuracy: specificity was 100% (95%CI 87%-100%; 32/32 deaths) and sensitivity 94% (95%CI 87%-97%; 102/109 deaths). The 7 false negative cases either were missed by the RML (N. 4) or had been wrongly classified as non-mesotheliomas (N. 3) because the diagnosis was made or confirmed only postmortem after a forensic autopsy.

Conclusions: RML accuracy (completeness and diagnostic quality) was very high. No false positive was found and the few false negatives were due to lack of notification of mesotheliomas diagnosed postmortem to the registry. Forensic pathologists should be made aware that mesothelioma notification to the regional mesothelioma registry is important and compulsory.

The Società Lavorazioni Organiche Inorganiche (SLOI) in Trento (North-Eastern Italy) produced tetraethyl lead from 1941 to 1978, when it was closed following an explosion, luckily with no fatalities. Working conditions were very bad. During the 1960s, 325 acute lead intoxications were reported and over 100 workers were hospitalized for neurological conditions attributable to tetraethyl lead. At least 12 SLOI workers were hospitalized in the mental asylum (psychiatric wards).The present work describes the first formal epidemiological study ever carried out on SLOI workers. In the absence of any original SLOI employee registers, a list of 1,742 workers hired since factory startup was assembled using the files of the Italian National Social Security Agency (digitalized in 1974 and perused manually by one of the Authors for the previous period). To date, follow-up for mortality has been completed for the 580 male employees at work in 1961 or hired subsequently and who worked at SLOI for at least 12 months. Twenty-two (3.8%) were lost to follow-up. Mortality in this sub-cohort was compared with that of the population of the province of Trento, gathered since 1986 by the Institute of Statistics of the Trento Province. Excluding deaths occurring at age 90+ years, during the 1986-2016 period, deaths in the SLOI sub-cohort were 295 vs 229.0 deaths expected from age- and period-specific rates in the reference population (standardazied mortality ratio 1.29; 95%CI 1.15-1.44). In the absence of individual data, the possible contribution to the mortality excess by non-occupational risk factors cannot be estimated. Identification of causes of death is underway.

Gli autori hanno aggiornato i dati della tabella 10 (pagina 22) della sezione Genetica. Il PDF contenente la modifica è disponibile dal 20 giugno 2024.

This is a summary of the results of a research work, born from a collaboration between multiple Italian bodies and published by the Italian Workers' Compensation Authority (Inail) in March 2024: Second report on maritime workers. Activities and risk factors of sea workers.To disseminate the contents, the work offers a global overview of safety and health in the sector: with an analysis of accidents in the sector (which also involves some remarks on the event reporting form), workers' risk perception is examined and occupational diseases monitored through the MalProf system, managed by the Inail Research Sector and the local health authorities. Finally, an in-depth study is dedicated to exposure to asbestos on ships.

Objectives: to estimate Amyotrophic Lateral Sclerosis (ALS) incidence and prevalence in three Italian Regions (Lazio, Tuscany, and Umbria), using health administrative databases.

Design: retrospective population-based study.

Setting and participants: ALS patients residing in Lazio, Umbria, and Tuscany were identified through an algorithm based on three different administrative databases: hospital discharge records, exemptions from health care co-payment, and emergency departments (study period 2014-2019). Crude, age- and gender-specific prevalence were calculated on 31.12.2019 and incidence rates of ALS were standardised by region, year, and gender between 2014-2019. Using a clinical dataset available in the Lazio Region, the proportion of individuals residing in the region correctly identified as ALS cases by the algorithm were calculated.

Main outcomes measures: prevalence and incidence rates.

Results: a total of 1,031 ALS patients (>=18 years) were identified: 408 cases in Tuscany, 546 in Lazio, and 77 in Umbria. ALS standardised prevalence (per 100,000) was similar among regions: 12.31 in Tuscany, 11.52 in Lazio, and 9.90 in Umbria. The 5-year crude rates were higher in men, and in people aged 65-79 years. Among 310 patients included in the clinical dataset, 263 (84.8%) were correctly identified by the algorithm based on health administrative databases.

Conclusions: ALS prevalence and incidence in three Central Italy Regions are rather similar, but slightly higher than those previously reported. This finding is plausible, given that previous results relate to at least ten years ago and evidenced increasing trends. Overall, the results of this paper encourage the use of administrative data to produce occurrence estimates, useful to both epidemiological surveillance and research and healthcare policies.

The current humanitarian crises in Ukraine and Gaza, along with the chronic crises, and the climate-related disasters, have exposed the limitations of the humanitarian system. Within these contexts, humanitarian organisations frequently struggle with collecting, analysing, interpreting, and utilising health data, due to the challenging environments in which they operate and funding constraints. It is precisely in these contexts that field epidemiology plays a crucial, but often overlooked role.Field epidemiologists face unique challenges, including rapidly changing conditions, poor-quality data, and biases. Despite these difficulties, accurate epidemiological data are essential for needs assessment, guidance on interventions, and advocacy. Conventional methods often need adaptation for crisis settings, and there are still gaps in measurement.This article discusses the role of epidemiology in such contexts, noting a shortage of trained 'humanitarian epidemiologists' and specialised training as major issues.To address these needs, the Italian Association of Epidemiology organised a course in early 2024 to enhance the epidemiological skills of staff working in humanitarian crises and introduce traditional epidemiologists to crisis-specific challenges. The course covered key concepts and methods of field epidemiology, emphasising the use of secondary health data. Its positive reception underscored the demand for such specialised training.Improving public health information collection and use in humanitarian crises is an ethical and practical necessity. Indeed, investing in field epidemiology and recognising its importance can enhance humanitarian interventions and better serve vulnerable populations.