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Background: Heart failure (HF)-related mortality has been exacerbated by the COVID-19 pandemic; however, it is unclear how healthcare reassessment has contributed to the excess mortality versus SARS-CoV-2 infection itself. We aimed to assess how the pandemic affected the therapeutic management and prognosis of HF patients. Methods: We retrospectively reviewed the healthcare utilization databases of the Lombardy region (Italy) to identify all newly-diagnosed HF patients from January 2018 to December 2021. Outcomes were the utilization of HF therapies (Sacubitril/Valsartan; cardiac resynchronization therapy [CRT] and/or implantable cardioverter-defibrillator [ICD]; mechanical circulatory support [MCS]; heart transplantation [HTX]) and mortality. Cox regression models were fitted to estimate the hazard ratios (HR) and 95% confidence intervals (CI) for outcomes associated with the pandemic. Results: 36,130 and 17,263 patients were identified in the pre-pandemic and pandemic eras, respectively. The pandemic reduced Sacubitril/Valsartan utilization (HR = 0.77, 95% CI: 0.65-0.91) and CRT/ICD implantation (HR = 0.85, 95% CI: 0.78-0.92), but not MCS (HR = 1.11, 95% CI: 0.86-1.43) and HTX (HR = 0.88, 95% CI: 0.70-1.09). An increased mortality risk was observed during the pandemic (HR = 1.19, 95% CI: 1.15-1.23), which was attributable to SARS-CoV-2 infection (HR for non-COVID-19-related mortality = 1.01, 95% CI: 0.97-1.04). Conclusions: The COVID-19 pandemic was associated with a reduction in medical and interventional therapies for HF and an increase in mortality for HF patients.

Sodium-glucose cotransoporter-2 inhibitors (SGLT-2Is) improve prognosis in heart failure (HF) patients both with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF). However, these drugs can have some side effects. To estimate the relative risk of side effects in HF patients treated with SGLT-2Is irrespective from left ventricular EF and setting (chronic and non-chronic HF). Five randomized controlled trials (RCTs) enrolling patients with HFrEF, 4 RCTs enrolling non-chronic HF, and 3 RCTs enrolling HFpEF were included. Among side effects, urinary infection, genital infection, acute kidney injury, diabetic ketoacidosis, hypoglycemia, hyperkalemia, hypokalemia, bone fractures, and amputations were considered in the analysis. Overall, 24,055 patients were included in the analysis: 9020 (38%) patients with HFrEF, 12,562 (52%) with HFpEF, and 2473 (10%) with non-chronic HF. There were no differences between SGLT-2Is and placebo in the risk to develop diabetic ketoacidosis, hypoglycemia, hyperkalemia, hypokalemia, bone fractures, and amputations. HFrEF patients treated with SGLT-2Is had a significant reduction of acute kidney injury (RR = 0.54 (95% CI 0.33-0.87), p = 0.011), whereas no differences have been reported in the HFpEF group (RR = 0.94 (95% CI 0.83-1.07), p = 0.348) and non-chronic HF setting (RR = 0.79 (95% CI 0.55-1.15), p = 0.214). A higher risk to develop genital infection (overall 2.57 (95% CI 1.82-3.63), p < 0.001) was found among patients treated with SGLT-2Is irrespective from EF (HFrEF: RR = 1.96 (95% CI 1.17-3.29), p = 0.011; HFpEF: RR = 3.04 (95% CI 1.88-4.90), p < 0.001). The risk to develop urinary infections was increased among SGLT-2I users in the overall population (RR = 1.13 (95% CI 1.00-1.28), p = 0.046) and in the HFpEF setting (RR = 1.19 (95% CI 1.02-1.38), p = 0.029), whereas no differences have been reported in HFrEF (RR = 1.05 (95% CI 0.81-1.36), p = 0.725) and in non-chronic HF setting (RR = 1.04 (95% CI 0.75-1

Aims: A set of indicators to assess the quality of care for patients hospitalized for heart failure was developed by an expert working group of the Italian Health Ministry. Because a better performance profile measured using these indicators does not necessarily translate to better outcomes, a study to validate these indicators through their relationship with measurable clinical outcomes and healthcare costs supported by the Italian National Health System was carried out. Methods and results: Residents of four Italian regions (Lombardy, Marche, Lazio, and Sicily) who were newly hospitalized for heart failure (irrespective of stage and New York Heart Association class) during 2014–2015 entered in the cohort and followed up until 2019. Adherence to evidence-based recommendations [i.e. renin–angiotensin–aldosterone system (RAS) inhibitors, beta-blockers, mineralocorticoid receptor antagonists (MRAs), and echocardiograms (ECCs)] experienced during the first year after index discharge was assessed. Composite clinical outcomes (cardiovascular hospital admissions and all-cause mortality) and healthcare costs (hospitalizations, drugs, and outpatient services) were assessed during the follow-up. The restricted mean survival time at 5 years (denoted as the number of months free from clinical outcomes), the hazard of clinical outcomes (according to the Cox model), and average annual healthcare cost (expressed in euros per person-year) were compared between adherent and non-adherent patients. A non-parametric bootstrap method based on 1000 resamples was used to account for uncertainty in cost-effectiveness estimates. A total of 41 406 patients were included in this study (46.3% males, mean age 76.9 ± 9.4 years). Adherence to RAS inhibitors, beta-blockers, MRAs, and ECCs were 64%, 57%, 62%, and 20% among the cohort members, respectively. Compared with non-adherent patients, those who adhered to ECCs, RAS inhibitors, beta-blockers, and MRAs experienced (i) a delay in the composit

Objectives: This study aims to show the application of flexible statistical methods in real-world cost-effectiveness analyses applied in the cardiovascular field, focusing specifically on the use of proprotein convertase subtilisin-kexin type 9 inhibitors for hyperlipidemia. Methods: The proposed method allowed us to use an electronic health database to emulate a target trial for cost-effectiveness analysis using multistate modeling and microsimulation. We formally established the study design and provided precise definitions of the causal measures of interest while also outlining the assumptions necessary for accurately estimating these measures using the available data. Additionally, we thoroughly considered goodness-of-fit assessments and sensitivity analyses of the decision model, which are crucial to capture the complexity of individuals' healthcare pathway and to enhance the validity of this type of health economic models. Results: In the disease model, the Markov assumption was found to be inadequate, and a "time-reset" timescale was implemented together with the use of a time-dependent variable to incorporate past hospitalization history. Furthermore, the microsimulation decision model demonstrated a satisfying goodness of fit, as evidenced by the consistent results obtained in the short-term horizon compared with a nonmodel-based approach. Notably, proprotein convertase subtilisin-kexin type 9 inhibitors revealed their favorable cost-effectiveness only in the long-term follow-up, with a minimum willingness to pay of 39 000 Euro/life years gained. Conclusions: The approach demonstrated its significant utility in several ways. Unlike nonmodel-based or alternative model-based methods, it enabled to (1) investigate long-term cost-effectiveness comprehensively, (2) use an appropriate disease model that aligns with the specific problem under study, and (3) conduct subgroup-specific cost-effectiveness analyses to gain more targeted insights.

Earlier research has indicated that humans prioritize attention to the space close to their hands, commonly known as the "near-hand effect". This phenomenon also extends to a human partner's hand, but specifically following a shared physical joint action. Consequently, within human dyads, collaborative interaction results in a shared body representation that might impact fundamental attentional mechanisms. Our project investigates whether a similar effect can emerge from a human-robot interaction scenario. In previous work, we have shown that the mere presence of an anthropomorphic robot's hand is not enough to trigger the near-hand effect. Here, we designed an experiment to assess whether a collaborative human-robot interaction with the humanoid robot iCub could bias human attention toward the robot's hand. After the interaction, we replicated a classical psychological paradigm by adding a robotic condition to measure this attentional bias (i.e., the near-hand effect). Our findings indicate the existence of a near-hand effect triggered by the robot's hand, suggesting that HRI can replicate a shared body representation similar to that observed in human dyads, which may influence our basic attentional mechanisms.

Context: Patients with diabetes are at increased risk of dying from liver-related events, but little is known on whether this increased risk changed in recent years. Objective: The aim of the present study is to describe time trends in cause-specific liver-related mortality in people with and without diabetes from the general Italian population. Methods: Data were retrieved from the healthcare utilization databases of Lombardy, a region of Italy that accounts for about 16% (almost ten million) of its population. Annual cause-specific mortality rates and proportionate mortality were computed among individuals with and without diabetes from 2010 to 2019. Liver-related deaths were categorized as viral, alcohol related and non-viral non-alcohol related (NVNA). Results: Liver diseases were responsible for 2% and 1% of deaths in people with and without diabetes (2019). Among patients with diabetes, the crude mortality rate for liver diseases decreased from 1.13 to 0.64 deaths per 1,000 person-years from 2010 to 2019. The largest proportion of liver-related deaths was attributable to NVNA diseases and it increased from 63% in 2010 to 68% in 2019, with a corresponding relative reduction of viral causes (from 27% to 23%). The Standardized Mortality Ratio for patients with diabetes was 3.35 (95% CI 2.96-3.76) for NVNA, 1.66 (95% CI 1.33-2.01) for viral hepatitis and 1.61 (95% CI 1.13-2.17) for alcoholic liver disease and it remained relatively stable over time. Excess mortality risk in patients with diabetes for liver-related mortality was higher than for cardiovascular mortality and cancer. Conclusion: While liver-related mortality rates decreased significantly among patients with diabetes, NVNA causes comprised the majority of cases. Excess mortality for liver-related causes in patients with diabetes compared with controls remained constant in the studied period.

Background: Evidence exists that lowering high blood pressure reduces the risk of dementia. However, the generalizability of this evidence to old patients from the general population remains uncertain. Objectives: This study sought to evaluate the effect of antihypertensive drug treatment on the risk of dementia in a heterogeneous group of new users of antihypertensive drugs. Methods: A nested case-control study was carried out by including the cohort of 215,547 patients from Lombardy, Italy, aged ≥65 years, who started taking antihypertensive drugs between 2009 and 2012. Cases were the 13,812 patients (age 77.5 ± 6.6 years; 40% men) who developed dementia or Alzheimer's disease during follow-up (up to 2019). For each case, 5 control subjects were selected to be matched for sex, age, and clinical status. Exposure to drug therapy was measured by the proportion of the follow-up covered by antihypertensive drugs. Conditional logistic regression was used to model the outcome risk associated with exposure to antihypertensive drugs. Results: Exposure to treatment was inversely associated with the risk of dementia. Compared with patients with very low exposure, those with low, intermediate, and high exposure exhibited a 2% (95% CI: −4% to 7%), 12% (95% CI: 6%-17%), and 24% (95% CI: 19%-28%) risk reduction, respectively. This was also the case for very old (aged ≥85 years) and frail patients (ie, those characterized by a high mortality risk at 1 year). Conclusions: In the old fraction of the general population, antihypertensive drug treatment is associated with a lower risk of dementia. This was also the case in very old and frail patients.

Aims: To evaluate the impact of adherence to glucagon like peptide-1 receptor agonists (GLP1-RA) and sodium-glucose transporter two inhibitors (SGLT2-I) on clinical outcomes and costs in patients with type 2 diabetes mellitus (T2DM). Materials and Methods: The 121,115 residents of the Lombardy Region (Italy) aged ≥40 years newly treated with metformin during 2007–2015 were followed to identify those who started therapy with GLP1-RA or SGLT2-I. Adherence to drug therapy over the first year was defined as the proportion of days covered >80%. Within each drug class, for each adherent patient, one non-adherent patient was matched for age, sex, duration, adherence to metformin treatment and propensity score. The primary clinical outcome was a composite of insulin initiation, hospitalisation for micro- and macrovascular complications and all-cause mortality after the first year of drug treatment. Costs were evaluated based on reimbursements from the national healthcare system. Results: After matching, 1182 pairs of adherent and non-adherent GLP1-RA users and 1126 pairs of adherent and non-adherent SGLT2-I users were included. In both groups, adherent patients experienced a significantly lower incidence of the primary outcome (HR: 0.85, 95% CI 0.72–0.98 for GLP1-RA and HR: 0.69, 95% CI 0.55–0.87 for SGLT2-I). A significant reduction in hospitalizations was found for adherent patients in the GLP1-RA group but not for the SGLT2-I group. Results were consistent when analyses were stratified by age and sex. While higher drug-related costs in the adherent group were counterbalanced by decreased hospitalisation costs in SGLT2-I treated patients, this was not the case for GLP1-RA. Conclusions: Higher adherence to drug treatment with GLP1-RA and SGLT2-I during the first year of the drug intake is associated with a lower incidence of adverse clinical outcomes in a real-world setting.

Background: Knowledge about the effectiveness of antidepressants in pregnancy is limited. We aimed to evaluate the association of antidepressant continuation in pregnancy and adherence with the risk of antenatal hospitalization for depression/anxiety. Methods: In a population-based study based on the healthcare databases of the Lombardy region, Italy (2010–2020), we included 17,033 live-birth pregnancies within 16,091 women with antidepressant use before pregnancy. Antidepressant exposure was classified as continued in pregnancy versus discontinued proximal to pregnancy. Outcome measure was antenatal hospitalization for depression/anxiety. Propensity score matching analysis was performed to control for measured confounding. Stratification by pre-pregnancy antidepressant adherence based on the proportion of days covered (PDC) with antidepressants served to address confounding by disease severity. We applied 60 days lag-time for antidepressant exposure to minimize the risk of protopathic bias. Results: There were 362 (2.1 %) antenatal hospitalizations for depression/anxiety. Among the matched pairs, the cumulative incidence was 3.5 (continued antidepressant) versus 2.1 (discontinued antidepressant) per 1000 person-months, yielding a hazard ratio (HR) of 1.76 (95 % confidence interval (CI): 1.34–2.33)). The HR declined to the null (1.02, 95 % CI: 0.62–1.69) in the stratified analysis of pregnancies with moderate-high adherence pre-pregnancy. Moderate-high adherence in pregnancy was associated with 85 % greater risk of the antenatal outcome, but the HR decreased with the 60 days lag-time (HR: 1.40, 95 % CI: 0.79–2.50). Limitations: Lack of information regarding antidepressant dosage. Conclusion: We found no difference in risk for antenatal hospitalization for depression/anxiety with antidepressant continuation or higher adherence in pregnancy, relative to discontinuation or lower adherence.

The aim of this study was to assess whether angiotensin receptor/neprilysin inhibitor (ARNI) decreases ventricular arrhythmic burden compared to angiotensin-converting enzyme inhibitors or angiotensin receptor antagonist (ACE-I/ARB) treatment in chronic heart failure with reduced ejection fraction (HFrEF) patients. Further, we assessed if ARNI influenced the percentage of biventricular pacing. A systematic review of studies (both RCTs and observational studies) including HFrEF patients and those receiving ARNI after ACE-I/ARB treatment was conducted using Medline and Embase up to February 2023. Initial search found 617 articles. After duplicate removal and text check, 1 RCT and 3 non-RCTs with a total of 8837 patients were included in the final analysis. ARNI was associated with a significative reduction of ventricular arrhythmias both in RCT (RR 0.78 (95% CI 0.63-0.96); p = 0.02) and observational studies (RR 0.62; 95% CI 0.53-0.72; p < 0.001). Furthermore, in non-RCTs, ARNI also reduced sustained (RR 0.36 (95% CI 0.2-0.63); p < 0.001), non-sustained VT (RR 0.67 (95% CI 0.57-0.80; p = 0.007), ICD shock (RR 0.24 (95% CI 0.12-0.48; p < 0.001), and increased biventricular pacing (2.96% (95% CI 2.25-3.67), p < 0.001). In patients with chronic HFrEF, switching from ACE-I/ARB to ARNI treatment was associated with a consistent reduction of ventricular arrhythmic burden. This association could be related to a direct pharmacological effect of ARNI on cardiac remodeling.Trial registration: CRD42021257977.

Objective:To compare adherence to antihypertensive treatment between patients prescribed a three-drug single-pill combination (SPC) of perindopril/amlodipine/indapamide (P/A/I) vs. the combination of an angiotensin-converting enzyme inhibitor (ACEI), a calcium-channel blocker (CCB), and a diuretic (D) as a two-drug SPC plus a third drug given separately.Methods:Using the healthcare utilization database of the Lombardy Region (Italy), the 28 210 patients, aged at least 40 years, who were prescribed P/A/I SPC during 2015-2018 were identified and the date of the first prescription was defined as the index date. For each patient prescribed the SPC, a comparator who started ACEI/CCB/D treatment as a two-pill combination was considered. Adherence to the triple combination was assessed over the year after the index date as the proportion of the follow-up days covered by prescription (PDC). Patients who had a PDC >75% were defined as highly adherent to drug therapy. Log-binomial regression models were fitted to estimate the risk ratio of treatment adherence in relation to the drug treatment strategy.Results:About 59 and 25% of SPC and two-pill combination users showed high adherence, respectively. Compared with patients under a three-drug two-pill combination, those who were treated with the three-drug SPC had a higher propensity to be highly adherent to the triple combination (2.38, 95% confidence interval: 2.32-2.44). This was the case regardless of the sex, age, comorbidities, and number of co-treatments.Conclusions:In a real-life setting, patients under three-drug SPC exhibited more frequently a high adherence to antihypertensive treatment than those prescribed a three-drug two-pill combination.

Objectives: This study aimed to assess the cost-effectiveness profile of adherence to recommendations for the community management of patients discharged with a diagnosis of acute coronary syndrome (ACS). Methods: The cohort of 50 282 residents in the Lombardy Region (Italy) who were discharged with a diagnosis of ACS during 2011 to 2015 was followed up until 2018. Adherence to selected recommendations including drug therapies (DTs), outpatient controls, and rehabilitation, experienced during the first year after index discharge, was considered. Adherent and nonadherent cohort members were matched on high-dimensional propensity scores. Composite clinical outcomes (cardiovascular hospital admissions and all-cause mortality) and healthcare costs were assessed for a time horizon of 5 years. Cost-effectiveness profile of adherence to recommendations was measured through the incremental cost-effectiveness ratio, that is, the incremental cost for 1 day free from the composite clinical outcome. Results: Adherence to DTs, outpatient controls, and rehabilitation, respectively, regarded 39%, 81%, and 3% of cohort members. Compared with nonadherent patients, those adherent to DTs, outpatient controls, and rehabilitation had (1) a delay in the occurrence of the composite clinical outcome of 50, 43, and 73 days, respectively, and (2) lower (on average, €199 per year for DTs) and higher costs (€292 and €1024 for outpatient controls and rehabilitation). Cost-effectiveness profiles were better for patients with myocardial infarction than those with angina and for patients with more severe clinical complexity than those with milder conditions. Conclusions: Health-related and economic benefits are expected from improving adherence to international guidelines recommendations concerning outpatient treatments and monitoring of patients with ACS.

Background. Limited evidence exists on the balance between the benefits and harms of the COVID-19 vaccines. The aim of this study is to compare the benefits and safety of mRNA-based (Pfizer-BioNTech and Moderna) and adenovirus-vectored (Oxford-AstraZeneca) vaccines in subpopulations defined by age and sex. Methods. All citizens who are newly vaccinated from 27 December 2020 to 3 May 2021 are matched to unvaccinated controls according to age, sex, and vaccination date. Study outcomes include the events that are expected to be avoided by vaccination (i.e., hospitalization and death from COVID-19) and those that might be increased after vaccine inoculation (i.e., venous thromboembolism). The incidence rate ratios (IRR) of vaccinated and unvaccinated citizens are separately estimated within strata of sex, age category and vaccine type. When suitable, number needed to treat (NNT) and number needed to harm (NNH) are calculated to evaluate the balance between the benefits and harm of vaccines within each sex and age category. Results. In total, 2,351,883 citizens are included because they received at least one dose of vaccine (755,557 Oxford-AstraZeneca and 1,596,326 Pfizer/Moderna). A reduced incidence of COVID-19-related outcomes is observed with a lowered incidence rate ranging from 55% to 89% and NNT values ranging from 296 to 3977. Evidence of an augmented incidence of harm-related outcomes is observed only for women aged <50 years within 28 days after Oxford-AstraZeneca (being the corresponding adjusted IRR of 2.4, 95% CI 1.1–5.6, and NNH value of 23,207, 95% CI 10,274–89,707). Conclusions. A favourable balance between benefits and harms is observed in the current study, even among younger women who received Oxford-AstraZeneca.

Background: The evolution of SARS-CoV-2 has led to the emergence of several new variants, and few data are available on the impact of vaccination on SARS-CoV-2 variants. We aimed to assess the association between natural (previous infection) and induced (partial or complete vaccination) exposure to SARS-CoV-2 and the onset of new infection supported by the delta variant, and of comparing it with that supported by alpha. Methods: We performed a test-negative case-control study, by linking population-based registries of confirmed diagnoses of infection with SARS-CoV-2, vaccinations against Covid-19 and healthcare utilization databases of the Italian Lombardy Region. Four hundred ninety-six persons who between 27 December 2020 and 16 July 2021 had an infection by the delta variant were 1:1 matched with citizens affected by alphavariant and 1:10 matched with persons who had a negative molecular test, according to gender, age and date of molecular ascertainment. We used a conditional logistic regression for estimating relative risk reduction of either variants associated with natural and/or induced immunization and corresponding 95% confidence interval (CI). Results: Previous infection was associated with 91% (95% CI 85% to 95%) reduced relative risk of reinfection, without evidence of significant differences between delta and alpha cases (p=0.547). Significant lower vaccinal protection against delta than alpha variant infection was observed with reduced relative risk associated with partial vaccination respectively of 29% (7% to 45%), and 62% (48% to 71%) (p=0.001), and with complete vaccination respectively of 75% (66% to 82%) and 90% (85% to 94%) (p=0.003). Conclusions: Lower protection towards infections caused by the delta variant with respect to alpha variant was noticed, even after the completion of the vaccination cycle. This finding would support efforts to maximize both vaccine uptake with two doses and fulfilment with individual protection measures, especially

Objective: This study aims to assess whether the role of neurologists in the emergency department changed during the coronavirus (COVID)-19 pandemic. Methods: Data from an Italian national survey investigating the role of neurologists in the emergency room conducted in December 2020 were compared with those of the same survey of the previous year. These surveys involved a questionnaire being completed filled in for patients who received a neurological consultation following a visit to the emergency room. Information gathered included demographic characteristics, triage level according to both the emergency physician and neurologist, reason for the consultation, neurological evaluation, and discharge mode. Results: In both years, approximately half of the patients were women, and the median age was 61 years. More patients in 2020 arrived by ambulance and had a greater need for assistance based on triage level than in 2019. During 2020, the proportion of consultancy requests judged by the neurologist was higher than that in 2019 (77% vs. 73%). Moreover, in 2020, fewer patients required consultation for headache, muscle pain, fever, and neurological signs, whereas coma was more prevalent. The diagnosis of ischemic stroke was the most prevalent in both years, followed by transient ischemic attack. In 2020, the status epilepticus increased and discopathy decreased. Conclusion: This study showed the significant role played by neurologists in emergency activities, especially during the COVID-19 pandemic, and highlighted the differences in patients admitted between the year of the epidemic and the year previous.

Objective: Methodological challenges for investigating the changes in healthcare utilization during COVID-19 pandemic must be considered for obtaining unbiased estimates. Study design and setting: A population-based study in the Lombardy region (Italy) measured the association between the level of epidemic restrictions (increasing exposure during pre-epidemic, post-lockdown, and lockdown periods) and the recommended healthcare (outcome) for patients with schizophrenia, heart failure, chronic obstructive pulmonary disease, breast cancer, and pregnancy women. Two designs are applied: the self-controlled case series (SCCS) and the usual cohort design. Adjustments for between-patients unmeasured confounders and seasonality of medical services delivering were performed. Results: Compared with pre-epidemic, reductions in delivering recommended healthcare during lockdown up to 73% (95% confidence interval: 63%–80%) for timeliness of breast cancer surgery, and up to 20% (16%–23%) for appropriated gynecologic visit during pregnancy were obtained from SCCS and cohort design, respectively. Healthcare provision came back to pre-epidemic levels during the post-lockdown, with the exception of schizophrenic patients for whom the SCCS showed a reduction in continuity of care of 11% (11%–12%). Conclusion: Strategies for investigating the changes in healthcare utilization during pandemic must be implemented. Recommendations for taking into account sources of systematic uncertainty are discussed and illustrated by using motivating examples.

Objective: The aim of the presentstudy was to assess emergency neurology management in Italy by comparing patients admitted to the hub and spoke hospitals. Methods: Data obtained from the annual Italian national survey (NEUDay) investigating the activity and facilities of neurology in the emergency room conducted in November 2021 were considered. Information for each patient who received a neurologic consultation after accessing the emergency room was acquired. Data on facilities were also gathered, including hospital classification (hub vs spoke), number of consultations, presence of neurology and stroke unit, number of beds, availability of neurologist, radiologist, neuroradiologist, and instrumental diagnostic accessibility. Results: Overall, 1,111 patients were admitted to the emergency room and had neurological consultation across 153 facilities (out of the 260 Italian ones). Hub hospitals had significantly more beds, availability of neurological staff, and instrumental diagnostic accessibility. Patients admitted to hub hospital had a greater need for assistance (higher number of yellow/red codes at neurologist triage). A higher propensity to be admitted to hub centers for cerebrovascular problems and to receive a diagnosis of stroke was observed. Conclusions: The identification of hub and spoke hospitals is strongly characterized by the presence of beds and instrumentation mainly dedicated to acute cerebrovascular pathologies. Moreover, the similarity in the number and type of accesses between hub and spoke hospitals suggests the need to look for adequate identification of all the neurological pathologies requiring urgent treatment.

Human perception and motion are continuously influenced by prior experience. However, when humans have to share the same space and time, different previous experience could lead towards opposite percepts and actions, consequently failing in coordination. This study presents a novel experimental setup that aims at exploring the interplay between human perceptual mechanisms and motor strategies during human-robot interaction. To achieve this goal, we developed a complex system to enable the realization of an interactive perceptual task, where the participant has to perceive and estimate temporal durations together with iCub, with the goal of coordinating with the robotic partner. Results show that the experimental setup continuously monitor how participants implement their perceptual and motor behavior during the interaction with a controllable interacting agent. Therefore, it will be possible to produce quantitative models describing the interplay between perceptual and motor adaptation during an interaction.

Previous studies have revealed that humans prioritize attention to the space near their hands (the so-called near-hand effect). This effect may also occur towards a human partner's hand, but only after sharing a physical joint action. Hence, in human dyads, interaction leads to a shared body representation that may influence basic attentional mechanisms. Our project investigates whether a collaborative interaction with a robot might similarly influence attention. To this aim, we designed an experiment to assess whether the mere presence of a robot with an anthropomorphic hand could bias the human partner's attention.We replicated a classical psychological paradigm to measure this attentional bias (i.e., the near-hand effect) by adding a robotic condition. Preliminary results found the near-hand effect when performing the task with the self-hand near the screen, leading to shorter reaction times on the same side of the hand. On the contrary, we found no effect on the robot's hand in the absence of previous collaborative interaction with the robot, in line with studies involving human partners.

Aim: To compare safety and functional outcomes of intravenous thrombolysis (IVT) between females and males with acute ischaemic stroke (AIS) in relation to preadmission use of antiplatelets. Methods: Multicentre cohort study of patients admitted from 1 January 2014 to 31 January 2020 to hospitals participating in the Swiss Stroke Registry, presenting with AIS and receiving IVT. Primary safety outcome was in-hospital symptomatic intracerebral haemorrhage (sICH). Primary functional outcome was functional independence at 3 months after discharge. Multivariable logistic regression models were fitted to assess the association between sex and each outcome according to preadmission use of antiplatelets. Results: The study included 4996 patients (42.51 % females, older than males, median age 79 vs 71 years, p < 0.0001). Comparable proportions of females (39.92 %) and males (40.39 %) used antiplatelets before admission (p = 0.74). In total, 3.06 % females and 2.47 % males developed in-hospital sICH (p = 0.19), with similar odds (adjusted odds ratio, [AOR] 0.93, 95 % confidence interval, [CI] 0.63–1.39). No interaction was found between sex and preadmission use of either single or dual antiplatelets in relation to in-hospital sICH (p = 0.94 and p = 0.23). Males had higher odds of functional independence at 3 months (AOR 1.34, 95 % CI 1.09–1.65), regardless of preadmission use of antiplatelets (interaction between sex and preadmission use of either single or dual antiplatelets p = 0.41 and p = 0.58). Conclusion: No sex differences were observed in the safety of IVT regarding preadmission use of antiplatelets. Males showed more favourable 3-month functional independence than females; however, this sex difference was apparently not explained by a sex-specific mechanism related to preadmission use of antiplatelets.

BackgroundDuring the COVID-19 pandemic, large-scale diagnostic testing and contact tracing have proven insufficient to promptly monitor the spread of infections.AimTo develop and retrospectively evaluate a system identifying aberrations in the use of selected healthcare services to timely detect COVID-19 outbreaks in small areas.MethodsData were retrieved from the healthcare utilisation (HCU) databases of the Lombardy Region, Italy. We identified eight services suggesting a respiratory infection (syndromic proxies). Count time series reporting the weekly occurrence of each proxy from 2015 to 2020 were generated considering small administrative areas (i.e. census units of Cremona and Mantua provinces). The ability to uncover aberrations during 2020 was tested for two algorithms: the improved Farrington algorithm and the generalised likelihood ratio-based procedure for negative binomial counts. To evaluate these algorithms' performance in detecting outbreaks earlier than the standard surveillance, confirmed outbreaks, defined according to the weekly number of confirmed COVID-19 cases, were used as reference. Performances were assessed separately for the first and second semester of the year. Proxies positively impacting performance were identified.ResultsWe estimated that 70% of outbreaks could be detected early using the proposed approach, with a corresponding false positive rate of ca 20%. Performance did not substantially differ either between algorithms or semesters. The best proxies included emergency calls for respiratory or infectious disease causes and emergency room visits.ConclusionImplementing HCU-based monitoring systems in small areas deserves further investigations as it could facilitate the containment of COVID-19 and other unknown infectious diseases in the future.

Background: The stratification of the general population according to health needs allows to provide better-tailored services. A simple score called Multisource Comorbidity Score (MCS) has been developed and validated for predicting several outcomes. The aim of this study was to evaluate whether the ability of MCS in predicting 1-year mortality improves by incorporating socioeconomic data (as measured by a deprivation index). Methods: Beneficiaries of the Italian National Health Service who in the index year (2018) were aged 50–85 years and were resident in the Sicily region for at least 2 years were identified. For each individual, the MCS was calculated according to his/her clinical profile, and the deprivation index of the census unit level of the individual’s residence was collected. Frailty models were fitted to assess the relationship between the indexes (MCS and deprivation index) and 1-year mortality. Akaike information criterion and Bayesian information criterion statistics were used to compare the goodness of fit of the model that included only MCS and the model that also contained the deprivation index. The models were further compared by means of the area under the receiver operating characteristic curve (AUC). Results: The final cohort included 1,062,221 individuals, with a mortality rate of 15.6 deaths per 1,000 person-years. Both MCS and deprivation index were positively associated with mortality. The goodness of fit statistics of the two models were very similar. For MCS only and MCS plus deprivation index models, Akaike information criterion were 17,013 and 17,038, respectively, whereas Bayesian information criterion were 16,997 and 17,000, respectively. The AUC values were 0.78 for both models. Conclusion: The present study shows that socioeconomic features as measured by the deprivation index did not improve the capability of MCS in predicting 1-year risk of death. Future studies are needed to investigate other sources of data to enhance the risk