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Automated tools for antimicrobial resistance surveillance are critical for improving detection of drug-resistant organisms and informing prevention and control interventions. In this study, the WHONET-SaTScan software was used at a multihospital level in Tuscany, Italy, to identify case clusters consistent with hospital outbreaks caused by drug-resistant pathogens.Antimicrobial resistance surveillance data from all Tuscany hospitals between January 2018 and December 2020 were analyzed using WHONET. The SaTScan package was used to detect case clusters applying a simulated prospective approach and the space-time permutation algorithm. Clusters were identified using resistance profiles and two distinct spatial variables: single medical services ('service') or groups of related services ('metaservice').Data from eight bacterial pathogens were provided from 49 hospitals for 312,779 isolates from 158,809 patients. Single service-based analysis detected 693 hospital clusters, while metaservice-based analysis identified 635. There was no evidence for a difference between the two methods in terms of cluster length, cluster size, recurrence intervals, number of alerts, distribution across years or hospitals. Among clusters involving multiple services identified by both analyses, metaservice-detected clusters were usually larger and more statistically significant.WHONET-SaTScan proved to be a valuable multi-facility cluster detection tool that can be implemented for real-time surveillance.

Aim Long-term-care facility residents are a vulnerable population who experienced reduced healthcare access during the pandemic. This study aimed to assess the indirect impact of the COVID-19 pandemic, in terms of hospitalisation and mortality rates, among this population in two Italian Regions, Tuscany and Apulia, during 2020 in comparison with the pre-pandemic period. Subject and methods We conducted a retrospective cohort study on people residing in long-term-care facilities from 1 January 2018 to 31 December 2020 (baseline period: 1 January 2018–8 March 2020; pandemic period: and 9 March–31 December 2020). Hospitalisation rates were stratified by sex and major disease groups. Standardised weekly rates were estimated with a Poisson regression model. Only for Tuscany, mortality risk at 30 days after hospitalisation was calculated with the Kaplan–Meier estimator. Mortality risk ratios were calculated using Cox proportional regression models. Results Nineteen thousand two hundred and fifty individuals spent at least 7 days in a long-term-care facility during the study period. The overall mean non-Covid hospital admission rate per 100 000 residents/week was 144.1 and 116.2 during the baseline and pandemic periods, with a decrease to 99.7 and 77.3 during the first (March–May) and second lockdown (November–December). Hospitalisation rates decreased for all major disease groups. Thirty-day mortality risk ratios for non-Covid conditions increased during the pandemic period (1.2, 1.1 to 1.4) compared with baseline. Conclusion The pandemic resulted in worse non-COVID-related health outcomes for long-term-care facilities’ residents. There is a need to prioritise these facilities in national pandemic preparedness plans and to ensure their full integration in national surveillance systems.

BackgroundThe pandemic may undermine the equity of access to and utilisation of health services for conditions other than COVID-19. The objective of the study is to evaluate the indirect impact of COVID-19 and lockdown measures on sociodemographic inequalities in healthcare utilisation in seven Italian areas.MethodsIn this multicentre retrospective study, we evaluated whether COVID-19 modified the association between educational level or deprivation and indicators of hospital utilisation and quality of care. We also assessed variations in gradients by sex and age class. We estimated age-standardised rates and prevalence and their relative per cent changes comparing pandemic (2020) and pre-pandemic (2018–2019) periods, and the Relative Index of Inequalities (RIIs) fitting multivariable Poisson models with an interaction between socioeconomic position and period.ResultsCompared with 2018–2019, hospital utilisation and, to a lesser extent, timeliness of procedures indicators fell during the first months of 2020. Larger declines were registered among women, the elderly and the low educated resulting in a shrinkage (or widening if RII ConclusionsThe socially patterned reduction of hospital utilisation may lead to a potential exacerbation of health inequalities among groups who were already vulnerable before the pandemic. The healthcare service can contribute to contrast health disparities worsened by COVID-19 through more efficient communication and locally appropriate interventions.

Antimicrobial resistance (AMR) national surveillance systems in Italy lack alert systems for timely detection of emerging profiles of AMR with potential relevance to public health. Furthermore, the existence of early warning systems (EWS) at subnational level is unclear. This study aims at mapping and characterizing EWS for microbiological threats available at regional level in Italy, focusing on emerging AMR, and at outlining potential barriers and facilitators to their development/implementation. To this end, a three-section, web-based survey was developed and administered to all Italian regional AMR representatives from June to August 2022. Twenty out of twenty-one regions and autonomous provinces (95.2%) responded to the survey. Among these, nine (45%) reported the implementation of EWS for microbiological threats at regional level, three (15%) reported that EWS are in the process of being developed, and eight (40%) reported that EWS are not currently available. EWS characteristics varied widely among the identified systems concerning both AMR profiles reported and data flow: the microorganisms most frequently included were extensively drug-resistant (XDR) Enterobacterales, with the lack of a dedicated regional IT platform reported in most cases. The results of this study depict a highly heterogeneous scenario and suggest that more efforts aimed at strengthening national AMR surveillance systems are needed.

Politics is facing the need to make important decisions about anti-COVID-19 vaccination campaign in uncertain and changing contexts. With reference to the time frame between the administration of the first and second dose, the scientific evidence is still weak and comes from different contexts. New ways to collect and synthesize expert knowledge and opinions are needed with the direct involvement of the citizens in order to explain the uncertainties and maintain trust in institutions and their decisions.

Background Fear of contracting COVID-19 and the large-scale preventing measures may have influenced health service utilization. The aim of the study was to assess the indirect impact of COVID-19 pandemic on the utilization of the emergency medical services (EMS) of Tuscany Region (Italy). Methods The study was carried out on administrative data from the public healthcare system of Tuscany (38 general hospitals and 4 university teaching hospitals). Variations in the utilization of out-of-hospital (i.e. calls for emergency medical assistance and dispatch of mobile medical care units) and in-hospitals (emergency department(ED) visits and hospitalizations from the ED) EMS during the first pandemic wave were analyzed (February - July 2020) in relation with corresponding periods of the previous three years. Furthermore, in order to understand changes in illness severity of patients using the EMS, standardized ratios for hospitalizations requiring ICU and in-hospital mortality were analyzed. Results Significant decreases in the expected volumes of utilizations were observed in each of the considered EMS starting from the week in which the first case of COVID-19 was confirmed in Italy till the last week of the first wave. In particular, during the peak period of COVID-19 pandemic wave a reduction of 73,041 (-67%, 95%CI -69%; -66%) in ED admissions and of 682 (-38% 95%CI -55%; -43%) in hospitalization from ED were observed. Significant decreases in hospitalizations for life threatening medical conditions were observed. No significant differences were found between the observed and the expected in-hospital mortality and hospitalizations requiring ICU during the COVID-19 epidemic peak period (SR 1.1 95%CI 0.72-1.90; SR 1.0 95%CI 0.83-1.23). Conclusions A large and generalized decrease in EMS utilization was observed during the first wave of COVID-19 pandemic. Furthermore, findings suggest that seriously ill patients avoid seeking care as less seriously ill patients did. Key messages The falling in the utilization of emergency medical services during pandemic could portend substantial harm to public health, and not simply the absence of real health need. The preparedness of the healthcare delivery system should not focus solely on confronting the pandemic disease, but also on ensuring access to high quality emergency care for other diseases.

Background Since the outbreak of COVID-19 has raged, large-scale measures for prevent disease transmission have been implemented worldwide. If effectively implemented, these measures may have led to a reduction of the spread of other respiratory infectious diseases at community level. The aim of the present study was to evaluate the indirect impact of COVID-19 large-scale containment measures on the incidence of community-acquired pneumonia (CAP) in the elderly during the first epidemic wave of COVID-19 in Tuscany, Italy. Methods A population based study was carried out on data from the Tuscany healthcare system. Hospitalization rate for CAP, severity of CAP hospitalizations, and outpatient consumptions of antibacterials for CAP in people aged 65 years and older were considered as outcome measures. Percentage changes in the outcome measures were calculated considering corresponding periods of the 2020 and 2017-19. 95% confidence intervals and the statistical significance of the percentage changes were calculated using the Poisson model. Results A total of 3,346 new CAP hospitalizations occurred in people aged 65 years and older in the whole study time-frame. Significant reductions in the weekly hospitalization rates for CAP were observed starting from the week in which the national containment measures were imposed, this negative deviation continued even after the lift of the national lock-down until the end of the first wave of COVID-19 in July (maximum weekly decrease of 46%). All the antibacterial classes for CAP showed a significant decrease in their outpatient consumptions during the COVID-19 epidemic period. Conclusions The implementation of large-scale COVID-19 containment measures likely reduced the incidence of CAP in the elderly during the first wave of COVID-19 pandemic. Furthermore, findings suggests that individual prevention measures that remained mandatory after the lift of the national lock-down also had a relevant role in the reducing CAP incidence. Key messages The potential benefits of pandemic containment measures can extend beyond the prevention of COVID-19 to include the reduction of the burden of respiratory infectious diseases Taking into account the indirect impact of pandemic containment measures on respiratory tract infections may improve the planning of health services during a pandemic.

Background Residents in long-term care facilities (LTCFs) are at higher risk of contracting and developing serious outcomes from COVID-19. Despite the media attention and the specific survey launched by the Istituto Superiore di Sanità, official data on Italian LTCFs are scarce. The objective of our study was to provide an estimate of the direct and indirect impact of COVID-19 in Tuscan LTCFs by assessing the rate of hospital admissions and the overall mortality rate among LTCF residents in 2020, comparing them with those observed in the period 2018-2019. Methods For the analysis two regional administrative data flows were linked. The first one providing data on the number of LTCFs residents - and deaths - affiliated with the regional health system, while the second on hospital discharges. The monthly hospitalization and mortality rates for 2020 were compared with those of the two previous years. Results The number of residents in LTCFs decreased significantly (-10.4%) and consistently in 2020 compared to the average of the previous two years. The rate of total admissions decreased slightly in 2020 (32.5%, -8.2% compared to 2018/19). However, excluding admissions due to COVID-19, the reduction was more pronounced (-21.9%), with large monthly variations (-33% and -43% in March and November 2020) statistically significant (RR2020/2018-19=0.66 and 0.57; 95%CI: 0.57-0.77; 0.48-0.68). A total of 581 admissions for COVID-19 occurred in 2020, with a monthly average of 0.6% and two peaks observed in April and November (1.86%; 1.82%). The overall mortality rate increased by 31% (2018/19= 18.6%; 2020= 24.4%), with a maximum (+201%) in November 2020 (RR2020/2018-19=3.01; 95%CI: 2.5-3.56). Conclusions The impact of the pandemic on Tuscan LTCFs in terms of deaths and patient care by hospitals has been considerable, with the greatest reduction in hospital admissions occurring mostly in the months characterised by the highest mortality rate and admissions for COVID-19. Key messages The direct and indirect impact of the pandemic on Tuscan LTCFs has been considerable, probably due to the reorganisation of LTCF services and limited coordination with hospital health care. The greatest reduction in hospital admissions, especially those not COVID-related, occurred mostly during the months characterised by the highest mortality rate and admissions for COVID-19.

In Tuscany, Italy, colonisation or infection by New Delhi metallo- beta-lactamase-producing carbapenem-resistant Enterobacterales (NDM-CRE) in hospitalised patients has increasingly been observed since 2018, leading in 2019 to the introduction of enhanced control measures successfully reducing transmission. We describe here the impact of the COVID epidemic on the underlying NDM-CRE prolonged outbreak in Tuscany. Data on patients colonised or infected by NDM-CRE reported by Tuscan laboratory surveillance among hospitalised patients in four Tuscan hospitals were collected from 07/2019 to 10/2020. Since February 2020 COVID-19 diagnosis was recorded. Monthly rates of NDM-CRE cases on hospital days in medical and critical care wards were calculated. In March-October 2020 NDM-CRE rates were calculated and stratified by COVID-19 diagnosis. The number of NDM-CRE cases/hospital days in 2019 decreased due to control interventions, however since March 2020 an increase was observed, temporally associated with COVID-19 admissions. In March-October 2020, compared to previous period, NDM-CRE cases had lower median age (73 yrs vs 75), were less likely to have previous hospitalisation episodes (59% vs 75%) and more likely to be admitted to ICU (32% vs 20%). We observed, in the period March-October 2020 a significantly higher rate of NDM-CRE cases per hospital days (256.71/100,000) in COVID-19 patients, compared to non-COVID-19 ones (452.9/100,000). Our data suggest a resurgence in NDM-CRE spread among hospitalised patients in Tuscany during COVID pandemic, despite evidence of effective control measures in 2019. Risk of NDM-CRE transmission was significantly higher among COVID patients. Several factors may have contributed to this occurrence, including patients case mix, performance of risk-prone procedures (including antibiotic prescriptions), extended length of stay, availability and usage of personal protective equipment and compliance with infection prevention procedures. Key messages We observed a relation between admission for COVID-19 and the risk of a hospital acquisition of NDM-CRE. There is the need to conciliate Health Care Associated Infections control measured with COVID-19 protection ones.

Background The hospital discharge process plays a key role in patient care. Careggi Re-Engineered Discharge (CaRED) aimed at establishing a meaningful relationship among general practitioners (GPs) and patients, throughout the discharge process. Objective The aim is to describe the activities and results in the period 2014–17 of the CaRED. Methods CaRED is a restructured discharge protocol, which foresees a different, more direct form of communication between hospital and GPs, enabled by an ad hoc electronic medical record. The 30-day hospital readmission rate and/or accesses to the emergency department were evaluated as proxy for effective communication. A pre–post survey was launched to assess the GPs’ perceived quality, and patient and family satisfaction. Results A total of 1549 hospitalizations were included, respectively, 717 in the pre and 832 in the post-intervention period. The 30-day hospital readmission rate decreased significantly in the post-intervention period (14.4% vs. 19.4%, χ2(1) = 8.03, P Eighty-two and 52 GPs participated, respectively, in the pre- and post-survey. In the post-phase the percentage of GPs declaring the discharge letter facilitated the communication on the admission causes (χ2(1) = 0.56, P = 0.03) and on what to do if conditions change (χ2(31) = 19.0, P Two-hundred-eighty and 282 patients were enrolled in the pre- and post-survey. The level of understanding of key parts of the discharge letter (reason for hospitalization, post-discharge therapy, follow-up examinations and how to contact the hospital ward) improved significantly (P Conclusions CaRED significantly improved the discharge process and became a benchmark for local improvements in communication patterns with GPs.

The COVID-19 pandemic has a non-negligible indirect impact on hospital care pathways, which is important to estimate. To this aim, we set up the Mimico-19 network of seven Italian regions (62% of the Italian population) representing different socio-demographic areas of the country with also a different burden of the epidemic. We retrospectively analysed regional hospital discharges data, computing twelve indicators of volumes and performance in three clinical areas: cardiology, oncology and orthopaedics, including time-dependent pathways and elective surgery. Weekly indicators for the period January-July 2020 were compared with the average of the corresponding indicators in 2018 and 2019; comparisons were performed within 3 sub-periods: pre-lockdown, lockdown and post-lockdown. The weekly trend of hospitalizations for ST-segment elevation myocardial infarction (STEMI) showed a 40% reduction, but the proportion of STEMI patients with a primary PTCA did not significantly change from previous years. Volumes of malignant neoplasms surgeries differed substantially by site, with a limited reduction for lung cancer (

Objective : to evaluate the indirect effect of COVID-19 large-scale containment measures on the incidence of community-acquired pneumonia (CAP) in the elderly during the first epidemic wave of COVID-19 in Tuscany, Italy. Methods : a population based study was carried out on data from the Tuscany healthcare system. The outcome measures were: hospitalization rate for CAP, severity of CAP hospitalizations, and outpatient consumptions of antibacterials for CAP in people aged 65 years and older. Outcome comparisons between corresponding periods of the 2020 and previous years were made. Results : Compared with the average of the corresponding periods of the previous three years, significant reductions in the weekly hospitalization rates for CAP were observed starting from the week in which the national containment measures were imposed until the end of the first wave of COVID-19 in July. All the antibacterial classes for CAP showed a significant decrease in their outpatient consumptions during the COVID-19 epidemic period. Conclusions : The implementation of large-scale COVID-19 containment measures likely reduced the incidence of CAP in the elderly during the first wave of COVID-19 pandemic. Taking into account this indirect impact of pandemic containment measures on respiratory tract infections may improve the planning of health services during a pandemic.

Introduction: Containment measures were established to flatten the curve of COVID-19 contagion in order to avoid a crash of the healthcare system. However, these measures influenced the rate of hospitalization of cardiac patients. In this study, we aimed to analyse the impact of COVID-19 and the effects of lockdown measures on hospital admissions and alerts of emergency medical system (EMS) for cardiac causes in the Tuscany region.Methods: An observational, retrospective analysis from Italian Tuscany region was conducted. We evaluated consecutive patients contacting EMS or admitted to the 39 Emergency Departments (EDs) in Tuscany for cardiac causes in the first trimester of 2020. Data were compared with the same period in 2018/19.Results: The alerts of EMS for cardiac causes significantly decrease in 2020 and the highest difference between 2018/19 and 2020 was found immediately after national lockdown (Δ = −47.4%, p < 0.001). The number of admissions for chest pain in the EDs also decreased, with a maximum difference of −67.6% (p < 0.001) vs. 2018/19. The number of hospital accesses for acute coronary syndromes, atrial fibrillation, and heart failure in the EDs significantly decreased in 2020 as compared to 2018/19 (maximum Δ = −58.9%, p < 0.001; maximum Δ = −63.0%, p < 0.001; maximum Δ = −72.7%, p < 0.001, respectively).Conclusions: A significant decrease in the contacts to EMS for cardiac causes and in cardiac diagnoses was observed during the first trimester of 2020. Fear of contagion has likely played a relevant role. The lesson learnt from first wave of COVID-19 pandemic suggests that appropriate public information strategies and re-education of people are essential.

Background and aims To validate a set of indicators for monitoring the quality of care of patients with diabetes in ‘real-life’ practice through its relationship with measurable clinical outcomes and healthcare costs. Methods and results A population-based cohort study was carried out by including the 20,635 patients, residents in the Lombardy Region (Italy), who in the year 2012 were newly taken-in-care for diabetes. Adherence with clinical recommendations (i.e., controls for glycated haemoglobin, lipid profile, urine albumin excretion and serum creatinine) was recorded during the first year after the patient was taken-in-care, and categorized according whether he/she complied with none or almost none (0 or 1), just some (2) or all or almost all (3 or 4) the recommendations, respectively denoted as poor, intermediate and high adherence. Short- and long-term complications of diabetes, and healthcare cost incurred by the National Health Service, were assessed during follow-up. Compared with patients with poor adherence, those with intermediate and high adherence respectively showed (i) a delay in outcome occurrence of 13 days (95% CI, -2 to 27) and 23 days (9 to 38), and (ii) a lower healthcare cost of 54 € and 77 €. In average, a gain of 18 Euros and 15 Euros for each day free from diabetic complication by increasing adherence respectively from poor to intermediate and from poor to high were observed. Conclusion Close control of patients with diabetes through regular clinical examinations must be considered the cornerstone of national guidance, national audits, and quality improvement incentive schemes.

since the beginning of the COVID-19 pandemic, the importance of developing a serological test has emerged and a debate on test accuracy and reliability become an issue widely discussed in the media. The importance of communication during this pandemic has been strongly underlined by public health experts, epidemiologists, media expert, psychologists, sociologists. In the case of serological tests, there are several aspects that have to be considered: why we perform the test, what population is tested, which are the parameters conditioning the results and their interpretation.to show how to quantify the uncertainty related to the validity of the serological test with respect to its predictive value and in particular the positive predictive value.the evaluation of a qualitative diagnostic test includes four distinct assessments: accuracy, empirical evidence, practical importance, and prevalence of the pathology. Accuracy is measured by the sensitivity and specificity of the test; empirical evidence is quantified by the likelihood ratio, respectively for a positive and negative test result; the practical importance of the result of a diagnostic test is assessed by the positive or negative predictive value. Prevalence of COVID-19 is substantial uncertainty and it is possible to estimate the apparent prevalence starting from the results obtained with a diagnostic test.at the moment, the knowledge about the accuracy of serological tests is limited and little attention is paid to confidence interval on point estimates. In terms of practical importance of testing at individual level, while negative predictive values are high whatever the level of sensitivity of the test, the interpretation of a positive results is very cumbersome. Positive predictive values above 90% can be reached only by tests with specificity above 99% at the expected prevalence rate of 5%. There is a linear relationship between apparent - testing positive - prevalence and real prevalence. The apparent prevalence in the context of serological test for COVID-19 is always larger than real prevalence. The level of specificity is crucial.the main applications of the serological test in the epidemic contest are: to study the seroprevalence of the virus antibodies in the general population; to screen the healthcare workers for the early identification of contagious subjects' health care settings and to screen the general population in order to identify new incident cases. In the first two cases, seroprevalence study and screening of a high-risk population, the consequences of the uncertainty associated to the statistics are already accounted for in the first situation, or are overcome by repeating the screening on the healthcare workers, and using the molecular test to verify the presence of the virus in those tested positive. The case of screening of general population is more complex and of major interest for the implication it may have on individual behaviours and on the implementation of public health interventions by the political decision makers. A positive result has, per se, no practical value for individuals since the probability of being really infected by the virus is low. The uncertainty associated with the different estimates (sensitivity, specificity and disease prevalence) play a double role: it is a key factor in defining the informative content of the test result and it might guide the individual actions and the public policy decisions.

Cardiovascular complications in patients undergoing non-cardiac surgery are associated with longer hospital stays and higher in-hospital mortality. The aim of this study was to assess the incidence of in-hospital myocardial infarction and/or myocardial injury in patients undergoing hip fracture surgery and their association with mortality. Moreover, we evaluated the prognostic value of troponin increase stratified on the basis of peak troponin value. The electronic records of 1970 consecutive hip fracture patients were reviewed. Patients &lt, 70 years, those with myocardial infarction &lt, 30 days, and those with sepsis or active cancer were excluded from the study. Troponin and ECG were obtained at admission and then at 12, 24, and 48 h after surgery. Echocardiography was made before and within 48 h after surgery. Myocardial injury was defined by peak troponin I levels &gt, 99th percentile. A total of 1854 patients were included. An elevated troponin concentration was observed in 754 (40.7%) patients in the study population. Evidence of myocardial ischemia, fulfilling diagnosis of myocardial infarction, was found in 433 (57%). ECG and echo abnormalities were more frequent in patients with higher troponin values, however, mortality did not differ between patients with and without evidence of ischemia. Peak troponin was between 0.1 and 1 &micro, g/L in 593 (30.3%). A total of 191 (10 %) had peak troponin I &ge, 1 &micro, g/L, and 98 died in hospital (5%). Mortality was significantly higher in both groups with troponin increase (HR = 1.37, 95% CI 1.1&ndash, 1.7, p &lt, 0.001 for peak troponin I between 0.1 and 1 &micro, g/L, HR = 2.28, 95% CI 1.72&ndash, 3.02, p &lt, 0.0001 for peak troponin &ge, g/L) in comparison to patients without myocardial injury. Male gender, history of coronary heart disease, heart failure, and chronic kidney disease were also associated with in-hospital mortality. Myocardial injury/infarction is associated with increased mortality after hip fracture surgery. Elevated troponin values, but not ischemic changes, are related to early worse outcome.

Carlotta Montagnani,1 Chiara Tersigni,2 Sara D’Arienzo,3 Andreea Miftode,4 Elisabetta Venturini,1 Barbara Bortone,1 Leila Bianchi,1 Elena Chiappini,1,5 Silvia Forni,3 Fabrizio Gemmi,3 Luisa Galli1,5 1Infectious Disease Unit, Meyer Children’s University Hospital, Florence, Italy; 2Postgraduate School of Paediatrics, University of Florence, Florence, Italy; 3Regional Health Agency of Tuscany, Florence, Italy; 4University of Florence, Florence, Italy; 5Department of Health Sciences, University of Florence, Florence, ItalyCorrespondence: Luisa GalliInfectious Disease Unit, Anna Meyer Children’s University Hospital, Viale Pieraccini 24, Florence, I-50139, ItalyTel +39-055 566 2439Email luisa.galli@unifi.itPurpose: Urinary tract infection (UTI) is a frequent disorder of childhood, caused mainly by Gram negative Enterobacterales. The aim of this study is to evaluate etiology and antimicrobial susceptibility patterns of bacterial isolates in urine cultures of children under the age of 6 and to analyze the relationship between previous hospitalization or antibiotic prescriptions and antimicrobial resistance rates.Patients and Methods: A retrospective study on positive urine cultures from 13 public laboratories in Tuscany, Italy was conducted. Data were obtained by reviewing records of the “Microbiological and Antibiotic-Resistance Surveillance System” (SMART) in Tuscany, Italy. A total of 2944 positive urine cultures were collected from 2445 children.Results: Escherichia coli represented the majority of isolates (54,2%), followed by Enterococcus faecalis (12,3%), Proteus mirabilis (10,3%) and Klebsiella pneumoniae (6,6%). Isolated uropathogens showed high resistance rates to amoxicillin-clavulanate (> 25%), particularly in children under one year of age or hospitalized within the 12 months before the sample collection. High susceptibility rates were reported of aminoglycosides, cephalosporins and quinolones (> 90%). Previous antibiotic prescriptions by general pediatricians did not increase resistance rates.Conclusion: Our results show a rate of amoxicillin-clavulanate resistance of 25%. Higher resistance rates were reported in children under one year of age and with previous hospitalization. Hence, amoxicillin-clavulanate should be used carefully in young children and those with severe symptoms.Keywords: urinary tract infections, infant, antimicrobial resistance, antibiotic therapy

Invasive pneumococcal disease (IPD) is a vaccine-preventable disease characterized by the presence of Streptococcus pneumoniae in normally sterile sites. Since 2007, Italy has implemented an IPD national surveillance system (IPD-NSS). This system suffers from high rates of underreporting. To estimate the level of underreporting of IPD in 2016&ndash, 2017 in Tuscany (Italy), we integrated data from IPD-NSS and two other regional data sources, i.e., Tuscany regional microbiological surveillance (Microbiological Surveillance and Antibiotic Resistance in Tuscany, SMART) and hospitalization discharge records (HDRs). We collected (1) notifications to IPD-NSS, (2) SMART records positive for S. pneumoniae from normally sterile sites, and (3) hospitalization records with IPD-related International Classification of Diseases, Ninth Revision, Clinical Modification (ICD9) codes in discharge diagnoses. We performed data linkage of the three sources to obtain a combined surveillance system (CSS). Using the CSS, we calculated the completeness of the three sources and performed a three-source log-linear capture&ndash, recapture analysis to estimate total IPD underreporting. In total, 127 IPD cases were identified from IPD-NSS, 320 were identified from SMART, and 658 were identified from HDRs. After data linkage, a total of 904 unique cases were detected. The average yearly CSS notification rate was 12.1/100,000 inhabitants. Completeness was 14.0% for IPD-NSS, 35.4% for SMART, and 72.8% for HDRs. The capture&ndash, recapture analysis suggested a total estimate of 3419 cases of IPD (95% confidence interval (CI): 1364&ndash, 5474), corresponding to an underreporting rate of 73.7% (95% CI: 34.0&ndash, 83.6) for CSS. This study shows substantial underreporting in the Tuscany IPD surveillance system. Integration of available data sources may be a useful approach to complement notification-based surveillance and provide decision-makers with better information to plan effective control strategies against IPD.

Few data are available on the validity of "Sepsis-3" criteria in identifying patients with sepsis in internal medicine wards (IMWs). Real-life data about this topic and on the prevalence of sepsis in IMWs could be useful for improving hospital organization.To assess the validity of "Sepsis-3" criteria in identifying patients with community-onset sepsis in IMWs. Secondary objectives: to evaluate the prevalence of these patients in IMWs and to compare "Sepsis-3" and "Sepsis-1" criteria.Multicenter, prospective, observational, cohort study, carried out in 22 IMWs of Tuscany (Italy). All patients admitted to each of the study centers over a period of 21-31 days were evaluated within 48 hours; those with clinical signs of infection were enrolled. The main outcome was in-hospital mortality.2,839 patients were evaluated and 938 (33%) met the inclusion criteria. Patients with sepsis diagnosed according to "Sepsis-3" were 522, representing 55.6% of patients with infection and 18.4% of all patients hospitalized; they were older than those without sepsis (79.4±12.5 vs 74.6±15.2 years, p0.001). In-hospital mortality was significantly higher in patients with sepsis compared to others (13.8% vs 4.6%; p0.001). "Sepsis-3" criteria showed greater predictive validity for in-hospital mortality than "Sepsis-1" criteria (AUROC=0.71; 95%CI, 0.66-0.77 vs 0.60; 95%CI 0.54-0.66; p=0.0038)."Sepsis-3" criteria are able to identify patients with community-onset sepsis in IMWs, whose prevalence and in-hospital mortality are remarkably high. Medical departments should adapt their organization to the needs for care of these complex patients.

Electrical storm (ES) is defined as three or more episodes of sustained ventricular tachycardia (VT) or fibrillation (VF) within 24 h, or an incessant VT/VF lasting more than 12 h. It usually occurs in implantable cardioverter-defibrillator (ICD) recipients, and three or more device interventions are typically used for the diagnosis. ES incidence is particularly high in case of ICD implanted in secondary prevention (10-30%), with recurrences occurring in up to 80% of patients. A comprehensive evaluation of triggers, predictive factors of high-risk patients and an appropriate management of the acute/subacute and chronic phases are pivotal to reduce mortality and recurrences. Medical therapy with antiarrhythmic and anesthetic drugs, with appropriate device reprogramming and neuroaxial modulation if needed, are used to cool down the ES, which should ultimately be treated with ablation therapy or, less often, with an alternative treatment, such as denervation or stereotactic radiosurgery. An optimization of the clinical pathway in a network modeling is crucial to achieve the best treatment, eventually addressing patients to centers with VT ablation programs, and identifying the most challenging procedures and the most critical patients that should be treated only in high-volume tertiary centers. In this paper, we present a proposal of healthcare network modeling for ES treatment in a regional setting.

In Tuscany, Italy, New Delhi metallo-beta-lactamase-producing carbapenem-resistant Enterobacterales (NDM-CRE) have increased since November 2018. Between November 2018 and October 2019, 1,645 samples were NDM-CRE-positive: 1,270 (77.2%) cases of intestinal carriage, 129 (7.8%) bloodstream infections and 246 (14.9%) infections/colonisations at other sites. Klebsiella pneumoniae were prevalent (1,495; 90.9%), with ST147/NDM-1 the dominant clone. Delayed outbreak identification and response resulted in sustained NDM-CRE transmission in the North-West area of Tuscany, but successfully contained spread within the region.

Limited data about New Delhi metallo-β-lactamase (NDM) bacteremia are available. Blood isolates from 40 patients with NDM bacteremia were studied for antibiotic susceptibility and whole-genomic sequencing. NDM bacteremia has high 30-day mortality. In most cases, aztreonam-avibactam is active in vitro. Ceftazidime-avibactam plus aztreonam may represent a feasible therapeutic option.

Background Multimorbidity is a growing concern for healthcare systems, with many countries experiencing demographic transition to older population profiles. A simple multisource comorbidity score (MCS) has been recently developed and validated. A very large real-world investigation was conducted with the aim of measuring inequalities in the MCS distribution across Italy. Methods Beneficiaries of the Italian National Health Service aged 50–85 years who in 2018 were resident in one of the 10 participant regions formed the study population (15.7 million of the 24.9 million overall resident in Italy). MCS was assigned to each beneficiary by categorizing the individual sum of the comorbid values (i.e. the weights corresponding to the comorbid conditions of which the individual suffered) into one of the six categories denoting a progressive worsening comorbidity status. MCS distributions in women and men across geographic partitions were compared. Results Compared with beneficiaries from northern Italy, those from centre and south showed worse comorbidity profile for both women and men. MCS median age (i.e. the age above which half of the beneficiaries suffered at least one comorbidity) ranged from 60 (centre and south) to 68 years (north) in women and from 63 (centre and south) to 68 years (north) in men. The percentage of comorbid population was lower than 50% for northern population, whereas it was around 60% for central and southern ones. Conclusion MCS allowed of capturing geographic variability of multimorbidity prevalence, thus showing up its value for addressing health policy in order to guide national health planning.

Rural and urban spaces in Africa, art historians are increasingly finding, are bound to one another by webs of complex relationships, resulting in a blurring of boundaries long held to be structura...