FASB: an integrated processing pipeline for Functional Analysis of simultaneous Spinal cord-Brain fMRI.

Simultaneous functional magnetic resonance imaging (fMRI) of the spinal cord and brain represents a powerful method for examining both ascending sensory and descending motor pathways in humans in vivo . However, its image acquisition protocols, and processing pipeline are less well established. This limitation is mainly due to technical difficulties related to spinal cord fMRI, and problems with the logistics stemming from a large field of view covering both brain and cervical cord. Here, we propose an acquisition protocol optimized for both anatomical and functional images, as well as an optimized integrated image processing pipeline, which consists of a novel approach for automatic modeling and mitigating the negative impact of spinal voxels with low temporal signal to noise ratio (tSNR). We validate our integrated pipeline, named FASB, using simultaneous fMRI data acquired during the performance of a motor task, as well as during resting-state conditions. We demonstrate that FASB outperforms the current spinal fMRI processing methods in three domains, including motion correction, registration to the spinal cord template, and improved detection power of the group-level analysis by removing the effects of participant-specific low tSNR voxels, typically observed at the disk level. Using FASB, we identify significant task-based activations in the expected sensorimotor network associated with a unilateral handgrip force production task across the entire central nervous system, including the contralateral sensorimotor cortex, thalamus, striatum, cerebellum, brainstem, as well as ipsilateral ventral horn at C5-C8 cervical levels. Additionally, our results show significant task-based functional connectivity between the key sensory and motor brain areas and the dorsal and ventral horns of the cervical cord. Overall, our proposed acquisition protocol and processing pipeline provide a robust method for characterizing the activation and functional connectivity of distinct cortical, subcortical, brainstem and spinal cord regions in humans.

Early picc-line infections in non-neutropenic patients are mainly due to E. coli suggesting that third-generation cephalosporin may be used as a first-line antibiotic therapy.

PURPOSE: To describe the rate of peripherally inserted central catheter (PICC) -associated bloodstream infections, and the pathogens involved. METHODS: We prospectively analyzed data collected from all adult patients with a PICC insertion in a hematology unit in a tertiary care center between January 1, 2017 and June 30, 2020. RESULTS: A total of 370 PICCs were inserted in 275 patients with hematological malignancies: 54 (15 %) confirmed cases of central-line associated bloodstream infection (CLABSI) were identified. Enterobacteria were the most frequent bacteria identified, involved in 35 % of CLABSIs. Group 1 enterobacteria bacteremia occurred a much shorter time after insertion (median time to CLABSI 16 days) than group 2 or group 3 enterobacteria (median time to CLABSI 64 days, p-value = 0.049). CONCLUSION: Among Gram-negative bacilli CLABSI among non-neutropenic patients, E. coli identification was the most frequent and occurred earlier after insertion, suggesting that third-generation cephalosporin may be used as a first-line antibiotic therapy for enterobacteria bacteremia among non-neutropenic patients.

Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization.

BACKGROUND: In France an average of 4% of hospitalized patients die during their hospital stay. To aid medical decision making and the attribution of resources, within a few days of admission the identification of patients at high risk of dying in hospital is essential. METHODS: We used de-identified routine patient data available in the first 2 days of hospitalization in a French University Hospital (between 2016 and 2018) to build models predicting in-hospital mortality (at ≥ 2 and ≤ 30 days after admission). We tested nine different machine learning algorithms with repeated 10-fold cross-validation. Models were trained with 283 variables including age, sex, socio-determinants of health, laboratory test results, procedures (Classification of Medical Acts), medications (Anatomical Therapeutic Chemical code), hospital department/unit and home address (urban, rural etc.). The models were evaluated using various performance metrics. The dataset contained 123,729 admissions, of which the outcome for 3542 was all-cause in-hospital mortality and 120,187 admissions (no death reported within 30 days) were controls. RESULTS: The support vector machine, logistic regression and Xgboost algorithms demonstrated high discrimination with a balanced accuracy of 0.81 (95%CI 0.80-0.82), 0.82 (95%CI 0.80-0.83) and 0.83 (95%CI 0.80-0.83) and AUC of 0.90 (95%CI 0.88-0.91), 0.90 (95%CI 0.89-0.91) and 0.90 (95%CI 0.89-0.91) respectively. The most predictive variables for in-hospital mortality in all three models were older age (greater risk), and admission with a confirmed appointment (reduced risk). CONCLUSION: We propose three highly discriminating machine-learning models that could improve clinical and organizational decision making for adult patients at hospital admission.

Erratum: Considerations for de-escalating universal masking in healthcare centers - CORRIGENDUM.

[This corrects the article DOI: 10.1017/ash.2023.200.].

Considerations for de-escalating universal masking in healthcare centers.

Three years after the beginning of the COVID-19 pandemic, better knowledge on the transmission of respiratory viral infections (RVI) including the contribution of asymptomatic infections encouraged most healthcare centers to implement universal masking. The evolution of the SARS-CoV-2 epidemiology and improved immunization of the population call for the infection and prevention control community to revisit the masking strategy in healthcare. In this narrative review, we consider factors for de-escalating universal masking in healthcare centers, addressing compliance with the mask policy, local epidemiology, the level of protection provided by medical face masks, the consequences of absenteeism and presenteeism, as well as logistics, costs, and ecological impact. Most current national and international guidelines for mask use are based on the level of community transmission of SARS-CoV-2. Actions are now required to refine future recommendations, such as establishing a list of the most relevant RVI to consider, implement reliable local RVI surveillance, and define thresholds for activating masking strategies. Considering the epidemiological context (measured via sentinel networks or wastewater analysis), and, if not available, considering a time period (winter season) may guide to three gradual levels of masking: (i) standard and transmission-based precautions and respiratory etiquette, (ii) systematic face mask wearing when in direct contact with patients, and (iii) universal masking. Cost-effectiveness analysis of the different strategies is warranted in the coming years. Masking is just one element to be considered along with other preventive measures such as staff and patient immunization, and efficient ventilation.

Cohort profile for development of machine learning models to predict healthcare-related adverse events (Demeter): clinical objectives, data requirements for modelling and overview of data set for 2016-2018.

PURPOSE: In-hospital health-related adverse events (HAEs) are a major concern for hospitals worldwide. In high-income countries, approximately 1 in 10 patients experience HAEs associated with their hospital stay. Estimating the risk of an HAE at the individual patient level as accurately as possible is one of the first steps towards improving patient outcomes. Risk assessment can enable healthcare providers to target resources to patients in greatest need through adaptations in processes and procedures. Electronic health data facilitates the application of machine-learning methods for risk analysis. We aim, first to reveal correlations between HAE occurrence and patients' characteristics and/or the procedures they undergo during their hospitalisation, and second, to build models that allow the early identification of patients at an elevated risk of HAE. PARTICIPANTS: 143 865 adult patients hospitalised at Grenoble Alpes University Hospital (France) between 1 January 2016 and 31 December 2018. FINDINGS TO DATE: In this set-up phase of the project, we describe the preconditions for big data analysis using machine-learning methods. We present an overview of the retrospective de-identified multisource data for a 2-year period extracted from the hospital's Clinical Data Warehouse, along with social determinants of health data from the National Institute of Statistics and Economic Studies, to be used in machine learning (artificial intelligence) training and validation. No supplementary information or evaluation on the part of medical staff will be required by the information system for risk assessment. FUTURE PLANS: We are using this data set to develop predictive models for several general HAEs including secondary intensive care admission, prolonged hospital stay, 7-day and 30-day re-hospitalisation, nosocomial bacterial infection, hospital-acquired venous thromboembolism, and in-hospital mortality.

Altered Spinal Cord Functional Connectivity Associated with Parkinson's Disease Progression.

BACKGROUND: Parkinson's disease (PD) has traditionally been viewed as an α-synucleinopathy brain pathology. Yet evidence based on postmortem human and animal experimental models indicates that the spinal cord may also be affected. OBJECTIVE: Functional magnetic resonance imaging (fMRI) seems to be a promising candidate to better characterize spinal cord functional organization in PD patients. METHODS: Resting-state spinal fMRI was performed in 70 PD patients and 24 age-matched healthy controls, the patients being divided into three groups based on their motor symptom severity: PDlow (n = 24), PDmed (n = 22), and PDadv (n = 24) groups. A combination of independent component analysis (ICA) and a seed-based approach was applied. RESULTS: When pooling all participants, the ICA revealed distinct ventral and dorsal components distributed along the rostro-caudal axis. This organization was highly reproducible within subgroups of patients and controls. PD severity, assessed by Unified Parkinson's Disease Rating Scale (UPDRS) scores, was associated with a decrease in spinal functional connectivity (FC). Notably, we observed a reduced intersegmental correlation in PD as compared to controls, the latter being negatively associated with patients' upper-limb UPDRS scores (P = 0.0085). This negative association between FC and upper-limb UPDRS scores was significant between adjacent C4-C5 (P = 0.015) and C5-C6 (P = 0.20) cervical segments, levels associated with upper-limb functions. CONCLUSIONS: The present study provides the first evidence of spinal cord FC changes in PD and opens new avenues for the effective diagnosis and therapeutic strategies in PD. This underscores how spinal cord fMRI can serve as a powerful tool to characterize, in vivo, spinal circuits for a variety of neurological diseases. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps.

OBJECTIVES: Experience of Nextstrain [1,2] and its approach adapted to the local context encouraged us to carry out real-time monitoring of COVID-19 nosocomial clusters in our establishment, the Grenoble Alpes University Hospital. PATIENTS AND METHODS, RESULTS: Through identification from electronic health records of nosocomial pathways and clusters and calculation of genetic distances from sequenced samples of COVID-19 patients, we were able to identify potential nosocomial clusters in very close to real time with a significant time saving compared to classical epidemiological surveillance, and to better understand and characterize nosocomial clusters. CONCLUSION: Through early detection and characterization of clusters, we may prevent infection of our patients by further implementing the appropriate measures.

Review of literature: Knowledge and practice of standard precautions by nursing student and teaching techniques used in training.

INTRODUCTION: Standard precautions (SP) help to combat health care-associated infections. It is of paramount importance that they be taught during nursing studies. The objective of this review of the literature was to determine the level of knowledge and practice of SP and hand hygiene (HH) of nursing students (NSs) and to identify the different pedagogical hygiene techniques applied in nursing training. METHODS: A review of the relevant literature was carried out according to the PRISMA method between January 2010 and April 2021. RESULTS: Eighty-one articles were selected: 36 studies were dedicated to NSs' knowledge, 43 to the SP practice of NSs, and 21 to hygiene teaching techniques in nursing training. While NSs knowledge of HH was found to be moderate, their knowledge of SP was moderate or good. Alcohol-based hand rub were little known. SP practice and compliance with SP and HH was moderate. The hygiene training programs set up in view of improving knowledge and practices have applied diversified pedagogical techniques. Multimodal approaches have proposed different associations of pedagogical techniques. As of now, no single teaching methods has been found clearly superior to the others. CONCLUSION: Enhanced training for nurses by means of new technologies and a combination of different approaches is indispensable in view of improving their levels of knowledge and practice.

Self-reported antibiotic stewardship and infection control measures from 57 intensive care units: An international ID-IRI survey.

We explored the self-reported antibiotic stewardship (AS), and infection prevention and control (IPC) activities in intensive care units (ICUs) of different income settings. A cross-sectional study was conducted using an online questionnaire to collect data about IPC and AS measures in participating ICUs. The study participants were Infectious Diseases-International Research Initiative (IDI-IR) members, committed as per their institutional agreement form. We analyzed responses from 57 ICUs in 24 countries (Lower-middle income (LMI), n = 13; Upper-middle income (UMI), n = 33; High-income (HI), n = 11). This represented (~5%) of centers represented in the ID-IRI. Surveillance programs were implemented in (76.9%-90.9%) of ICUs with fewer contact precaution measures in LMI ones (p = 0.02); (LMI:69.2%, UMI:97%, HI:100%). Participation in regional antimicrobial resistance programs was more significantly applied in HI (p = 0.02) (LMI:38.4%,UMI:81.8%,HI:72.2%). AS programs are implemented in 77.2% of institutions with AS champions in 66.7%. Infectious diseases physicians and microbiologists are members of many AS teams (59%&50%) respectively. Unqualified healthcare professionals(42.1%), and deficient incentives(28.1%) are the main barriers to implementing AS. We underscore the existing differences in IPC and AS programs' implementation, team composition, and faced barriers. Continuous collaboration and sharing best practices on APM is needed. The role of regional and international organizations should be encouraged. Global support for capacity building of healthcare practitioners is warranted.

Effect of a multimodal strategy for prevention of nosocomial influenza: a retrospective study at Grenoble Alpes University Hospital from 2014 to 2019.

BACKGROUND: A multimodal strategy to prevent nosocomial influenza was implemented in 2015-2016 in Grenoble Alpes University Hospital. Three modalities were implemented in all units: promotion of vaccination among healthcare workers, epidemiologic surveillance and communication campaigns. Units receiving a high number of patients with influenza implemented 2 additional modalities: improvement of diagnosis capacities and systematic surgical mask use. The main objective was to assess the effectiveness of the strategy for reducing the risk of nosocomial influenza. METHODS: A study was conducted retrospectively investigating 5 epidemic seasons (2014-2015 to 2018-2019) including all patients hospitalized with a positive influenza test at Grenoble Alpes University Hospital. The weekly number of nosocomial influenza cases was analyzed by Poisson regression and incidence rate ratios (IRR) were estimated. RESULTS: A total of 1540 patients, resulting in 1559 stays, were included. There was no significant difference between the 5 influenza epidemic seasons in the units implementing only 3 measures. In the units implementing the 5 measures, there was a reduction of nosocomial influenza over the seasons when the strategy was implemented compared to the 2014-2015 epidemic season (IRR = 0.56, 95% CI = 0.23-1.34 in 2015-2016; IRR = 0.39, 95% CI = 0.19-0.81 in 2016-2017; IRR = 0.50, 95% CI = 0.24-1.03 in 2017-2018; IRR = 0.48, 95% CI = 0.23-0.97 in 2018-2019). CONCLUSIONS: Our data mainly suggested that the application of the strategy with 5 modalities, including systematic surgical mask use and rapid diagnosis, seemed to reduce by half the risk of nosocomial influenza. Further data, including medico-economic studies, are necessary to determine the opportunity of extending these measures at a larger scale.

Epidemiology and outcome of occult bacteremia in patients discharged from emergency departments or ambulatory units: one-year study.

Microbiological diagnosis of bloodstream infection (BSI) is made several hours after blood culture sampling. This delay could be critical in ambulatory clinics, emergency departments, and hospital day care units, as the patient may be discharged prior to blood culture positivity. Our aim was to evaluate the clinical outcome (including the number of readmissions) of patients diagnosed with BSI after discharge. We prospectively included all adult patients with positive blood culture for BSI that was confirmed after discharge from our center (Grenoble-Alpes University Hospital) in 2016. Patients were contacted about their blood culture results, and their clinical status was controlled via an external consultation or their family physician, with hospital readmission if necessary. Clinical outcome, accuracy of initial diagnosis, microbiological epidemiology, and antibiotic prescription were assessed. In 2016, 1433 episodes of positive blood culture were detected in our hospital, with 50 (3.5%) occurring after patient discharge. Clinically relevant bacteria were determined in 32/50 cases (64%), while other positive blood culture results were considered to be contaminants. Clinical reevaluation was performed in 45 patients (90%). The diagnosis was changed during the clinical reassessment of 24/49 patients (49%). Antibiotics were prescribed prior to discharge for 24/50 patients (48%), modified during follow-up for 15/45 (33%), and initiated for 13/45 (29%) at the reevaluation. Overall, 24/45 (53%) patients were readmitted to hospital units after reevaluation. The clinical follow-up of patients with positive blood culture after discharge led to diagnostic changes and hospital readmission in around half of patients.

Reuse of medical face masks in domestic and community settings without sacrificing safety: Ecological and economical lessons from the Covid-19 pandemic.

The need for personal protective equipment increased exponentially in response to the Covid-19 pandemic. To cope with the mask shortage during springtime 2020, a French consortium was created to find ways to reuse medical and respiratory masks in healthcare departments. The consortium addressed the complex context of the balance between cleaning medical masks in a way that maintains their safety and functionality for reuse, with the environmental advantage to manage medical disposable waste despite the current mask designation as single-use by the regulatory frameworks. We report a Workflow that provides a quantitative basis to determine the safety and efficacy of a medical mask that is decontaminated for reuse. The type IIR polypropylene medical masks can be washed up to 10 times, washed 5 times and autoclaved 5 times, or washed then sterilized with radiations or ethylene oxide, without any degradation of their filtration or breathability properties. There is loss of the anti-projection properties. The Workflow rendered the medical masks to comply to the AFNOR S76-001 standard as "type 1 non-sanitory usage masks". This qualification gives a legal status to the Workflow-treated masks and allows recommendation for the reuse of washed medical masks by the general population, with the significant public health advantage of providing better protection than cloth-tissue masks. Additionally, such a legal status provides a basis to perform a clinical trial to test the masks in real conditions, with full compliance with EN 14683 norm, for collective reuse. The rational reuse of medical mask and their end-of-life management is critical, particularly in pandemic periods when decisive turns can be taken. The reuse of masks in the general population, in industries, or in hospitals (but not for surgery) has significant advantages for the management of waste without degrading the safety of individuals wearing reused masks.

Is it possible to hospitalize patients in multiple-bed room without increasing the risk of hospital-acquired influenza? Description of a pragmatic preventive strategy in a French university hospital.

BACKGROUND: Large inrush of patients through Emergency Department during influenza season can be dramatic. The purpose of this study was to evaluate the impact of an emergency preventive strategy, namely admission of patients with influenza in multiple-bed room with patients free from influenza, on the occurrence of hospital-acquired influenza (HAI). METHODS: When a patient with an influenza RT-PCR diagnosis was hospitalized in a multiple-bed room, the emergency preventive strategy was applied: selection of non-immunocompromised neighbor, implementation of physical barriers (rigid screen pulled between beds, surgical mask for healthcare workers and visitors), preemptive Oseltamivir therapy for the neighbor. RESULTS: From 29/11/2017 to 10/05/2018 a total of 464 hospitalized influenza patients were included; 318 were placed in multiple-bed room and 141 in single room. Emergency preventive strategy was correctly applied for 75.1% of patients in multiple-bed room. A total of 8 exposed neighbors matched HAI definition despite strategy. 7 were already exposed to the case before the set-up of the strategy. Only one case of documented transmission of influenza occurred after application of an incorrect emergency preventive strategy: preventive posology of Oseltamivir was not correct. CONCLUSIONS: These preliminary results suggest that the occurrence of HAI in multiple-bed rooms can be limited by the implementation of maximum precautions and urge us to promote further evaluation of the strategy. A detection bias should be considered without a systematic neighbors monitoring.

Investigating the human spinal sensorimotor pathways through functional magnetic resonance imaging.

Most of our knowledge about the human spinal ascending (sensory) and descending (motor) pathways comes from non-invasive electrophysiological investigations. However, recent methodological advances in acquisition and analyses of functional magnetic resonance imaging (fMRI) data from the spinal cord, either alone or in combination with the brain, have allowed us to gain further insights into the organization of this structure. In the current review, we conducted a systematic search to produced somatotopic maps of the spinal fMRI activity observed through different somatosensory, motor and resting-state paradigms. By cross-referencing these human neuroimaging findings with knowledge acquired through neurophysiological recordings, our review demonstrates that spinal fMRI is a powerful tool for exploring, in vivo, the human spinal cord pathways. We report strong cross-validation between task-related and resting-state fMRI in accordance with well-known hemicord, postero-anterior and rostro-caudal organization of these pathways. We also highlight the specific advantages of using spinal fMRI in clinical settings to characterize better spinal-related impairments, predict disease progression, and guide the implementation of therapeutic interventions.

Profiles of multidrug-resistant organisms among patients with bacteremia in intensive care units: an international ID-IRI survey.

Evaluating trends in antibiotic resistance is a requisite. The study aimed to analyze the profile of multidrug-resistant organisms (MDROs) among hospitalized patients with bacteremia in intensive care units (ICUs) in a large geographical area. This is a 1-month cross-sectional survey for blood-borne pathogens in 57 ICUs from 24 countries with different income levels: lower-middle-income (LMI), upper-middle-income (UMI), and high-income (HI) countries. Multidrug-resistant (MDR), extensively drug-resistant (XDR), or pan-drug-resistant isolates were searched. Logistic regression analysis determined resistance predictors among MDROs. Community-acquired infections were comparable to hospital-acquired infections particularly in LMI (94/202; 46.5% vs 108/202; 53.5%). Although MDR (65.1%; 502/771) and XDR (4.9%; 38/771) were common, no pan-drug-resistant isolate was recovered. In total, 32.1% of MDR were Klebsiella pneumoniae, and 55.3% of XDR were Acinetobacter baumannii. The highest MDR and XDR rates were in UMI and LMI, respectively, with no XDR revealed from HI. Predictors of MDR acquisition were male gender (OR, 12.11; 95% CI, 3.025-15.585) and the hospital-acquired origin of bacteremia (OR, 2.643; 95%CI, 1.462-3.894), and XDR acquisition was due to bacteremia in UMI (OR, 3.344; 95%CI, 1.189-5.626) and admission to medical-surgical ICUs (OR, 1.481; 95% CI, 1.076-2.037). We confirm the urgent need to expand stewardship activities to community settings especially in LMI, with more paid attention to the drugs with a higher potential for resistance. Empowering microbiology laboratories and reports to direct prescribing decisions should be prioritized. Supporting stewardship in ICUs, the mixed medical-surgical ones in particular, is warranted.

Description of an influenza outbreak in a French university hospital and risk factors of nosocomial influenza.

Our objective was to evaluate risk factors of nosocomial influenza (NI) in an university hospital during the 2015/2016 influenza season. All hospitalized patients with influenza-like illness associated with laboratory confirmation by polymerase chain reaction were included in a prospective observational study. We identified 44 cases (19%) of NI among the 233 cases of influenza: 38/178 (21%) in adults and 6/55 (11%) in children. Among adults, hospitalization in a double or multi-occupancy room was independently associated with NI (adjusted Odds Ratio, 3.42; 95% CI, 1.29-9.08; p = 0.013). The results of the study underline the importance of single room to prevent NI.

Incidence of Asymptomatic and Symptomatic Influenza Among Healthcare Workers: A Multicenter Prospective Cohort Study.

BACKGROUND: Influenza is an important cause of viral hospital-acquired infection involving patients, healthcare workers (HCW), and visitors. The frequency of asymptomatic influenza among HCW with possible subsequent transmission is poorly described. The objective is to determine the cumulative incidence of asymptomatic, paucisymptomatic, and symptomatic influenza among HCW. METHOD: A multicenter prospective cohort study was done in 5 French university hospitals, including 289 HCW during the 2016-2017 influenza season. HCW had 3 physical examinations (time [T] 0, before epidemic onset; T.1, before epidemic peak; T.2, T.3, after epidemic peak). A blood sample was taken each time for influenza serology and a nasal swab was collected at T1 and T2 for influenza detection by polymerase chain reaction (PCR). Positive influenza was defined as either a positive influenza PCR, and/or virus-specific seroconversion against influenza A, the only circulating virus, with no vaccination record during follow-up. Symptoms were self-reported daily between T1 and T2. Cumulative incidence of influenza was stratified by clinical presentation per 100 HCW. RESULTS: Of the 289 HCW included, 278 (96%) completed the entire follow-up. Overall, 62 HCW had evidence of influenza of whom 46.8% were asymptomatic, 41.9% were paucisymptomatic, and 11.3% were symptomatic. Cumulative influenza incidence was 22.3% (95% confidence interval [CI]: 17.4%-27.2%). Cumulative incidence of asymptomatic influenza was 5.8% (95% CI: 3.3%-9.2%), 13.7% (95% CI: 9.9%-18.2%) for paucisymptomatic influenza, and 2.9% (95% CI: 1.3%-5.5%) for symptomatic influenza. CONCLUSIONS: Asymptomatic and paucisymptomatic influenza were frequent among HCW, representing 47% and 42% of the influenza burden, respectively. These findings highlight the importance of systematic implementation of infection control measures among HCW regardless of respiratory symptoms from preventing nosocomial transmission of influenza. CLINICAL TRIALS REGISTRATION: NCT02868658.

Seasonal flu vaccination, a matter of emotion? An experimental study on role of compassion, socioeconomic status and perceived threat among healthcare workers.

OBJECTIVE: This study tests the impact of threat on compassion and vaccination intention among healthcare workers (HCWs) with low and high socio-economic status (SES) in France. DESIGN: A total of 309 HCWs were analyzed (Mage=39.29, SD = 11.76). Participants with high (n = 138) or low (n = 171) SES were randomly assigned to a Threat (n = 187) versus a No-Threat (n = 122) condition through filling in MacArthur's scale. During this manipulation, participants read about an interaction involving a HCW with an SES higher than that of the participant. After filling in the MacArthur scale, all participants went through a compassion manipulation. Finally, participants read a text describing a patient's distress. MAIN OUTCOME MEASURES: The primary outcome was the vaccination intention score. The secondary outcome included the compassion score. RESULTS: The interaction of the Group X SES Subjective on compassion was not significant (p = .34, ηp2 = .003, 95%CI [-.39,.07]). The interaction of the Group X Diploma on vaccination intention with high compassion was significant (p<.001, ηp2 = .173, 95%CI [.11,1.68]). Planned comparisons revealed a significant difference in vaccination intention score between HCWs with low SES between Threat (M = 3.58, SD = 2.56) and No-Threat (M = 5.27, SD = 2.27; p=.01) conditions. CONCLUSION: Ultimately, compassion inhibited the distress elicited in the threat condition in HCWs with high compassion.