Integrated patient network and genomic plasmid analysis reveal a regional, multi-species outbreak of carbapenemase-producing Enterobacterales carrying both blaIMP and mcr-9 genes

The incidence of carbapenemase-producing Enterobacterales (CPE) is rising globally, yet Imipenemase (IMP) carbapenemases remain relatively rare. This study describes an investigation of the emergence of IMP-encoding CPE amongst diverse Enterobacterales species between 2016 and 2019 in patients across a London regional hospital network. A network analysis approach to patient pathways, using routinely collected electronic health records, identified previously unrecognised contacts between patients who were IMP CPE positive on screening, implying potential bacterial transmission events. Whole genome sequencing of 85 Enterobacterales isolates from these patients revealed that 86% (73/85) were diverse species (predominantly Klebsiella spp, Enterobacter spp, E. coli) and harboured an IncHI2 plasmid, which carried both blaIMP and the putative mobile colistin resistance gene mcr-9. Detailed phylogenetic analysis identified two distinct IncHI2 plasmid lineages, A and B, both of which showed significant association with patient movements between four hospital sites and across medical specialities. Combined, our patient network and plasmid analyses demonstrate an interspecies, plasmid-mediated outbreak of blaIMPCPE, which remained unidentified during standard microbiology and infection control investigations. With whole genome sequencing (WGS) technologies and large-data incorporation, the outbreak investigation approach proposed here provides a framework for real-time identification of key factors causing pathogen spread. Analysing outbreaks at the plasmid level reveals that resistance may be wider spread than suspected, allowing more targetted interventions to stop the transmission of resistance within hospital networks.

Inter-Regional Hospital Patients’ Mobility in Italy

Background: The federalization of the Italian National Health Service (NHS) gave administrative, financial, and managerial independence to regions. They are in reciprocal competition according to the “quasi-market” model. A network of independent providers replaced the state monopoly. The NHS, based on the Beveridge model in which citizens are free to choose their place of treatment, was consolidated. The aim of our research was to analyze the fulfillment of need for hospital services on site and patients’ migration to hospitals of other regions. Material and Methods: We analyzed data from 2013 to 2017 of Hospital Discharge Cards (HDCs) provided by the Ministry of Health. The subjects of the analysis (catchment areas) were the hospital networks of every Italian region. The study of flows was developed through Internal Demand Satisfaction, Attraction, Escape, Attraction, Absorption, and Escape Production indexes. Graphic representations were produced using Gandy’s Nomogram and Qgis software. Results: In the studied period, the mean number of mobility admission was 678.659 ± 3.388, with an increase of 0.90%; in particular, the trend for ordinary regime increased 1.17%. Regions of central/northern Italy have attracted more than 60% of the escapes of the southern ones. Gandy’s Nomogram showed that only nine regions had optimal public hospital planning (Lombardy, Autonomous Province of Bolzano, Veneto, Friuli V.G., Emilia-Romagna, Tuscany, Umbria, Latium and Molise). Conclusion: The central/northern regions appear more able to meet the care needs of their citizens and to attract patients than the southern ones.

Citywide serosurveillance of the initial SARS-CoV-2 outbreak in San Francisco using electronic health records

Serosurveillance provides a unique opportunity to quantify the proportion of the population that has been exposed to pathogens. Here, we developed and piloted Serosurveillance for Continuous, ActionabLe Epidemiologic Intelligence of Transmission (SCALE-IT), a platform through which we systematically tested remnant samples from routine blood draws in two major hospital networks in San Francisco for SARS-CoV-2 antibodies during the early months of the pandemic. Importantly, SCALE-IT allows for algorithmic sample selection and rich data on covariates by leveraging electronic health record data. We estimated overall seroprevalence at 4.2%, corresponding to a case ascertainment rate of only 4.9%, and identified important heterogeneities by neighborhood, homelessness status, and race/ethnicity. Neighborhood seroprevalence estimates from SCALE-IT were comparable to local community-based surveys, while providing results encompassing the entire city that have been previously unavailable. Leveraging this hybrid serosurveillance approach has strong potential for application beyond this local context and for diseases other than SARS-CoV-2.

TeleNeurological evaluation and Support for the Emergency Department (TeleNS-ED): protocol for an open-label clinical trial

IntroductionThe COVID-19 pandemic compelled health systems to protect patients and medical personnel during transit in hospitals by minimising transfers, prompting the use of telehealth systems. In the field of neurology, telemedicine has been used in emergency settings for acute stroke management between spoke and hub hospital networks, where good outcomes have been achieved. However, data on the use of telemedicine in non-stroke acute neurological conditions accessing the emergency department (ED) are currently missing.Methods and analysesThis is an interventional, open-label trial on the use of teleconsultation in the ED for neurological diseases other than stroke. The study aims to develop a remote consultancy system (TeleNeurological Evaluation and Support, TeleNS) for patients with acute neurological symptoms referred to hospital facilities without a 24-hour availability of a neurologist consultant (spoke hospitals). The study population will include 100 ED patients referred to two spoke hospitals in 6 months, who will be asked to perform teleconsultation instead of inperson visits. As a control group, retrospectively available data from patients admitted to the ED of spoke hospitals during the same time period over the last 2 years will be evaluated. The primary objective is to assess whether a TeleNS for the ED guarantees a faster but qualitatively non-inferior diagnostic/therapeutic work-up if compared with inperson examination, assuring the availability of all the necessary examinations and treatments with consistent time-saving.Ethics and disseminationThe trial was designed following the national guidelines on clinical investigation on telemedicine provided by the Italian Ministry of Health and according to the Standard Protocol Items for Randomized Trials statement guidelines. This research protocol was approved by Comitato Etico Area Vasta Emilia Nord in September 2020 (number/identification: 942/2020/DISP/AOUMO SIRER ID 805) and was written without patient involvement. Patients’ associations will be involved in the dissemination of study design and results. The results of the study will be presented during scientific symposia or published in scientific journals.Trial registration numberNCT04611295.

Abstract P184: Effect of Acute Stroke Care Hospital Networks in Korea

Purpose: Stroke patients generally transport stroke patients either to nearest stroke hospital with secondary transfers or to hub hospitals in selective cases. This study aimed to determine the stroke community of close networks and to evaluate their role for the access the endovascular treatment (EVT). Methods: Using the nationwide acute stroke hospital (ASH) surveillance data assessed the major quality indicators of all stroke patients of South Korea, triage information both initial visit and secondary interhospital transfers were extracted according to the hospitals. Based on them, stroke community with dense linkages were partitioned using the network-based Louvain algorithm. The hierarchical model estimated the function of stroke community for the EVT. Results: For 6-month surveying period, 19113 subjects admitted to the 246 ASHs. Of them, 1831 (9.6%) were transferred from 763 adjacent facilities not ASH, while 1283 (6.7%) from the other ASHs. The algorithm determined the 113 stroke communities where composed median 7 hospitals (2 ASHs and 5 adjacent facilities) and treated about 30 subjects per month. Most of communities formed the spindle shape with higher centralization index and located within 150 Km (Figure). Stroke communities significantly affected 11% of EVT after adjustments. Conclusions: Network analysis method effectively contoured the high centralizing stroke communities and helped the functions on the EVT accessibility.

Citywide serosurveillance of the initial SARS-CoV-2 outbreak in San Francisco

Serosurveillance provides a unique opportunity to quantify the proportion of the population that has been exposed to pathogens. Here, we developed and piloted Serosurveillance for Continuous, ActionabLe Epidemiologic Intelligence of Transmission (SCALE-IT), a platform through which we systematically tested remnant samples from routine blood draws in two major hospital networks in San Francisco for SARS-CoV-2 antibodies during the early months of the pandemic. Importantly, SCALE-IT allows for algorithmic sample selection and rich data on covariates by leveraging electronic medical record data. We estimated overall seroprevalence at 4.2%, corresponding to a case ascertainment rate of only 4.9%, and identified important heterogeneities by neighborhood, homelessness status, and race/ethnicity. Neighborhood seroprevalence estimates from SCALE-IT were comparable to local community-based surveys, while providing results encompassing the entire city that have been previously unavailable. Leveraging this hybrid serosurveillance approach has strong potential for application beyond this local context and for diseases other than SARS-CoV-2.

The Italian Patients’ Mobility as Hospital Policies Assessment

Background: The analysis of mobility flows (movement of patients to hospital away from the place of residence) involves aspects of services quality (real/perceived), equity of access to healthcare and considerable financial flows. This work has a methodological meaning and summarizes the author’s experience over the years in order to demonstrate the usefulness of Gandy’s Nomogram (Cartesian graphic tool) to evaluate hospital patients’ mobility at MACRO, MESO and MICRO level. Materials and Methods: We analysed data of Hospital Discharge Cards (HDCs) produced by Italian hospital and provided by the HDCs Database of General Directorate for Health Planning of Ministry of Health from 1998 to 2019. We used also data produced by Management Control of Polyclinic of Siena from 1988 to 2007. The subjects of the analysis (catchment areas) were hospital networks of single Italian regions and in particular the Province of Siena. The study of flows was developed through Gandy’s Nomogram. The trend analysis was carried out through STATA 14. Results: Gandy’s Nomogram of inter-regional mobility showed that there was a concentration of critical situations, especially in southern Italy, where only Basilicata seemed to have embarked on a clear path for enhancing hospital supply during the studied period. The regions of Centre-North, in particular Lombardy, Emilia Romagna and Friuli-Venezia Giulia appeared to be in virtuous conditions. Conclusion: Gandy’s Nomogram, used to represent health mobility flows, has proven to be a practical graphical tool that can provide a geographical interpretation of access to health services and it is useful for health policy evaluation and planning

Pilot study of a combined genomic and epidemiologic surveillance program for hospital-acquired multidrug-resistant pathogens across multiple hospital networks in Australia

Objectives: To conduct a pilot study implementing combined genomic and epidemiologic surveillance for hospital-acquired multidrug-resistant organisms (MDROs) to predict transmission between patients and to estimate the local burden of MDRO transmission. Design: Pilot prospective multicenter surveillance study. Setting: The study was conducted in 8 university hospitals (2,800 beds total) in Melbourne, Australia (population 4.8 million), including 4 acute-care, 1 specialist cancer care, and 3 subacute-care hospitals. Methods: All clinical and screening isolates from hospital inpatients (April 24 to June 18, 2017) were collected for 6 MDROs: vanA VRE, MRSA, ESBL Escherichia coli (ESBL-Ec) and Klebsiella pneumoniae (ESBL-Kp), and carbapenem-resistant Pseudomonas aeruginosa (CRPa) and Acinetobacter baumannii (CRAb). Isolates were analyzed and reported as routine by hospital laboratories, underwent whole-genome sequencing at the central laboratory, and were analyzed using open-source bioinformatic tools. MDRO burden and transmission were assessed using combined genomic and epidemiologic data. Results: In total, 408 isolates were collected from 358 patients; 47.5% were screening isolates. ESBL-Ec was most common (52.5%), then MRSA (21.6%), vanA VRE (15.7%), and ESBL-Kp (7.6%). Most MDROs (88.3%) were isolated from patients with recent healthcare exposure. Combining genomics and epidemiology identified that at least 27.1% of MDROs were likely acquired in a hospital; most of these transmission events would not have been detected without genomics. The highest proportion of transmission occurred with vanA VRE (88.4% of patients). Conclusions: Genomic and epidemiologic data from multiple institutions can feasibly be combined prospectively, providing substantial insights into the burden and distribution of MDROs, including in-hospital transmission. This analysis enables infection control teams to target interventions more effectively.

Use of Cardiac Noninvasive Testing After Emergency Department Discharge: Association of Hospital Network Testing Intensity and Outcomes in Ontario, Canada

Background The relationship between noninvasive cardiac diagnostic testing intensity and downstream clinical outcomes is unclear. Our objective was to examine the relationship between hospital network noninvasive cardiac diagnostic testing intensity and downstream clinical outcomes in patients who were discharged from the emergency department after assessment for chest pain. Methods and Results We employed a retrospective cohort study design of 387 809 patients evaluated for chest pain in the emergency department between April 1, 2010 and March 31, 2016. Hospital networks were divided into tertiles based on usage of noninvasive cardiac diagnostic testing. The primary outcome was a composite of acute myocardial infarction or all‐cause mortality. Adjusted Cox proportional hazards models were used to compare the hazard of the composite outcome of myocardical infarction and/or all‐cause mortality between the tertiles. After adjustment for clinically relevant covariates, patients evaluated for chest pain in intermediate noninvasive cardiac diagnostic testing usage tertile hospital networks did not have significantly different hazards of the composite outcome when compared with those evaluated in low usage tertile hospital networks >90 days (hazard ratio [HR], 1.00; 95% CI, 0.83–1.21), 6 months (HR, 1.07; 95% CI, 0.92–1.24), and 1 year (HR, 1.03; 95% CI, 0.94–1.14). Patients evaluated in the high usage tertile also did not have significantly different hazards of the composite outcome compared with those evaluated in the low usage tertile at 90 days (HR, 0.98; 95% CI, 0.80–1.19), 6 months (HR, 1.01; 95% CI, 0.87–1.17); and 1 year (HR, 0.95; 95% CI, 0.86–1.05). Conclusions Our population‐based study demonstrated that high noninvasive cardiac diagnostic testing use intensity was not associated with reductions in downstream myocardial infarction or all‐cause mortality.