Diagnostic concordance between traditional and digital workflows. A study on 1427 prostate biopsies.

Objective: To evaluate intra-observer diagnostic reproducibility using traditional slides (TS) versus whole slide images (WSI). Methods: TS and WSI of 1427 prostatic biopsies (107 consecutive patients) were evaluated by a single pathologist. Agreement between readings was evaluated with Gwet's Agreement coefficient (AC) and Landis and Koch benchmark scale. Results: The positive/negative agreement between the readings was almost perfect (AC1= 0.962; 95% CI[0.949,0.974]), with method independent distribution of discrepancies. Among positive biopsies, 212 had identical Gleason score (GS) on TS and WSI and discordant GS in 69 cases (AC2 = 0.932; 95% CI[0.907, 0.956]). Concordant negative and positive patient classification was observed in 39 and 64 cases, respectively; two cases were assigned to the positive group on TS and 2 on WSI configuring an almost perfect agreement (AC1=0.929; 95% C1[0.860, 0.998]). ISUP Grade group (ISUP GG) agreement was evaluated in the 60 concordantly positive cases: in 45 cases it was identical on TS and WSI; in 10 biopsies the discrepancy implied a modification of the assigned ISUP GG of ≤ 1 class and in 5 the discrepancy implied a modification of 2 classes. Gwet's agreement coefficient was (95% CI [0.834, 0.962]), i.e.: almost perfect agreement. Conclusions: Our data show almost perfect agreement between digital and traditional diagnostic activity in a routine setting, confirming that digital pathology can be safely introduced into routine workflows.

Organisational models supported by technology for the management of diabetic disease and its complications in a diabetic clinic setting: study protocol for a randomised controlled trial targeting type 2 diabetes individuals with non-ideal glycaemic values (Telemechron study).

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a non-communicable disease representing one of the most serious public health challenges of the twenty-first century. Its incidence continues to rise in both developed and developing countries, causing the death of 1.5 million people every year. The use of technology (e.g. smartphone application-App) in the health field has progressively increased as it has been proved to be effective in helping individuals manage their long-term diseases. Therefore, it has the potential to reduce the use of health service and its related costs. The objective of this study is to evaluate the impact of using a digital platform called "TreC Diabete" embedded into a novel organisational asset targeting poorly controlled T2DM individuals in the Autonomous Province of Trento (PAT), Italy. METHODS: This trial was designed as a multi-centre, open-label, randomised, superiority study with two parallel groups and a 1:1 allocation ratio. Individuals regularly attending outpatient diabetes clinics, providing informed consent, are randomised to be prescribed TreC Diabete platform as part of their personalised care plan. Healthcare staff members will remotely assess the data shared by the participants through the App by using a dedicated online medical dashboard. The primary end-point is the evaluation of the Hb1Ac level at 12-month post-randomisation. Data will be analysed on an intention-to-treat (ITT) basis. DISCUSSION: This trial is the first conducted in the PAT area for the use of an App specifically designed for individuals with poorly controlled T2DM. If the effects of introducing this specific App within a new organisational asset are positive, the digital platform will represent a possible way for people diagnosed with T2DM to better manage their health in the future. Results will be disseminated through conferences and peer-reviewed journals once the study is completed. TRIAL REGISTRATION: ClinicalTrials.gov NCT05629221. Registered on November 29, 2022, prior start of inclusion.

[A suspect cluster of childhood cancer in Valle di Ledro (Province of Trento, Northern Italy). Epidemiological evaluation, risk management, and communication activities, 2018-2020]. / Un sospetto cluster di tumori infantili in Valle di Ledro (provincia di Trento). Valutazione epidemiologica e attività di comunicazione e gestione del rischio. Anni 2018-2020.

BACKGROUND: leukaemia is the most prevalent form of childhood cancer, an overall rare condition in childhood. Even few cases occurring in a small community can cause considerable apprehension among the population. From 2014 to 2017, 4 cases of childhood cancer occurred in Valle di Ledro, a municipality of 5,300 inhabitants in Province of Trento (Northern Italy), and a group of concerned citizens asked provincial health authorities for an investigation. OBJECTIVES: to address the community's health needs by verifying the hypothesis of a cluster of childhood cancer and through effective risk communication activities. DESIGN: retrospective cohort analysis based on data from the Cancer registry of the Autonomous Province of Trento and data collected from hospital discharge records. The communication activities were carried out according to the recommendations published by Epidemiologia&Prevenzione in 2016 in a Supplement "Childhood cancers, risk factors and investigation models for the evaluation of spatio-temporal clusters". SETTING AND PARTICIPANTS: Valle di Ledro, a municipality of 5,300 inhabitants in the Province of Trento. The participants in risk communication process were: city council; grassroot committee of concerned parents; health workforce of different services (epidemiology, cancer registry, public health; environmental health; primary health care; personnel of the Environmental Protection Agency; journalists; general population. The participants in the statistical analyses were: children of 0-14 years of age who were diagnosed a cancer from 1998 to 2014 in the Province of Trento (N. 212); leukaemia (N. 84) and acute lymphoblastic leukaemia (N. 66) incident cases in the period 1998-2017 in Trento province. MAIN OUTCOME MEASURES: verification of the presence of a cluster of childhood cancers; degree of consensus and collaboration of the different community stakeholders to the survey procedures and acceptance of the final results; atmosphere in public assemblies and feedback in the local press. RESULTS: a total of 212 incident cancer cases in children 0-14 years have been registred in Province of Trento from 1998 to 2014, leukaemia in 35% (N. 74) cases. From 2015 to 2017, another 10 cases of leukaemia occurred, for a total of 84 cases of leukaemia from 1998 to 2017. In the years from 1998 to 2017, in Valle di Ledro, taking the Italian population as reference group, the standardized incidence ratios (SIRs) were the following: cancer, all types 1,47 (IC95% 0,40-3,76); leukaemia 3,39 (IC95% 0,70-9,90), LLA 2,81 (IC95% 0,34-10,16). No cluster emerged from the geographical analyses. From the very beginning of the risk management approach, a decision-making working group was set up applying a participatory approach. Group members included the city council and the local committee of concerned parents and experts from different services of the local health unit. Data analyses was delegated to a technical working group that reported back to the decision-making group. Members of the technical working group were supervised by external experts. Following this approach, it was possible to establish a climate of trust and credibility. The involvement of all stakeholders right from the start in a totally transparent process was a key element of success. CONCLUSIONS: the cluster hypothesis was rejected for both childhood cancer (all types) and leukaemia (all types and ALL). The implementation of the risk communication process recommended by the AIE guidelines was successful in establishing a climate of reciprocal trust that allowed to overcome inevitable moments of conflict in a productive manner. Thanks to this positive atmosphere, the communication of the results of the statistical analyses was effective in reassuring the population.

COVID-19 hospitalizations in children in the Autonomous Province of Trento (Northern Italy), year 2020.

BACKGROUND: hospitalization rate of patients with SARS-CoV-2 infection can be considered as an indicator of severe COVID-19 burden. In children, however, hospital admissions may overestimate such burden. OBJECTIVES: to describe the hospitalizations with COVID-19-related discharge diagnoses in the population <18 years of age in the 545,000 inhabitants of the Autonomous Province of Trento (Trentino-Alto Adige Region, North-Eastern Italy) in year 2020. DESIGN: hospitalization characteristics and main and secondary discharge diagnosis codes were abstracted from anonymous hospital discharge records in all cases with at least one COVID-19-specific ICD-9-CM code. SETTING AND PARTICIPANTS: hospitalized patients 0-17 and >=18 years of age. MAIN OUTCOME MEASURES: in-hospital deaths, median length of stay and cost, frequency of main discharge diagnoses. RESULTS: from March to December 2020, 61 admissions with COVID-19-specific codes regarded patients 0-17 years and 3,811 patients >=18 years. No in-hospital deaths were observed in the younger group. Median hospital stay was not significantly different in the two groups, but cost was higher among patients >=18 years. In adult patients, more than 70% had a pneumonia or other lung or respiratory disease main discharge diagnosis; in children, they were only 6.5%. Almost half of the children admitted with SARS-CoV-2 infection had a main discharge diagnosis of either trauma or encounter with the health system for procedures and aftercare (ICD-9-CM V-codes). CONCLUSIONS: in the Province of Trento, a considerable proportion of hospitalizations of young patients with SARS-CoV-2 infection may be due to other underlying conditions requiring hospital care, supporting the hypothesis that hospitalization rate might overestimate the burden of serious COVID-19 in children.

A first evaluation of breast radiological density assessment by QUANTRA software as compared to visual classification.

Breast radiological density is a determinant of breast cancer risk and of mammography sensitivity and may be used to personalize screening approach. We first analyzed the reproducibility of visual density assessment by eleven experienced radiologists classifying a set of 418 digital mammograms: reproducibility was satisfactory on a four (BI-RADS D1-2-3-4: weighted kappa = 0.694-0.844) and on a two grade (D1-2 vs D3-4: kappa = 0.620-0.851), but subjects classified as with dense breast would range between 25.1 and 50.5% depending on the classifying reader. Breast density was then assessed by computer using the QUANTRA software which provided systematically lower density percentage values as compared to visual classification. In order to predict visual classification results in discriminating dense and non-dense breast subjects on a two grade scale (D3-4 vs, D1-2) the best fitting cut off value observed for QUANTRA was ≤22.0%, which correctly predicted 88.6% of D1-2, 89.8% of D3-4, and 89.0% of total cases. Computer assessed breast density is absolutely reproducible, and thus to be preferred to visual classification. Thus far few studies have addressed the issue of adjusting computer assessed density to reproduce visual classification, and more similar comparative studies are needed.