Cardiac Adverse Events and Remdesivir in Hospitalized Patients with Coronavirus Disease 2019 (COVID-19): A Post Hoc Safety Analysis of the Randomized DisCoVeRy Trial.

BACKGROUND: We aimed to evaluate the cardiac adverse events (AEs) in hospitalized patients with Coronavirus Disease 2019 (COVID-19) receiving remdesivir plus standard of care (SoC) compared to SoC alone (control), as an association was noted in some cohort studies and disproportionality analyses of safety databases. METHODS: This post-hoc safety analysis is based on data from the multicenter, randomized, open-label, controlled DisCoVeRy trial in hospitalized patients with COVID-19 (NCT04315948). Any first AE occurring between randomization and day 29 in the modified intention-to-treat (mITT) population randomized to either remdesivir or control group was considered. Analysis was performed using Kaplan-Meier survival curves and Kaplan-Meier estimates were calculated for event rates. RESULTS: Cardiac AEs were reported in 46 (11.2%) of 410 and 48 (11.3%) of 423 patients in the mITT population (n = 833) enrolled in the remdesivir and control groups, respectively. The difference between both groups was not significant (HR 1.0, 95% CI 0.7-1.5, p = 0.98), even when evaluating serious and non-serious cardiac AEs separately. The majority of reports in both groups were of arrhythmic nature (remdesivir, 84.8%; control, 83.3%) and were associated with a favorable outcome. There was no significant difference between remdesivir and control groups in the occurrence of different cardiac AE subclasses, including arrhythmic events (HR 1.1, 95% CI: 0.7-1.7, p = 0.68). CONCLUSIONS: Remdesivir treatment was not associated with an increased risk of cardiac AEs, whether serious or not, and regardless of AE severity, compared to control, in patients hospitalized with moderate or severe COVID-19. This is consistent with the results of other randomized controlled trials and meta-analyses.

CARECOS study: Medical students' empathy as assessed with the CARE measure by examiners versus standardized patients during a formative Objective and Structured Clinical Examination (OSCE) station.

PURPOSE: To assess the Consultation And Relational Empathy (CARE) measure as a tool for examiners to assess medical students' empathy during Objective and Structured Clinical Examinations (OSCEs), as the best tool for assessing empathy during OSCEs remains unknown. METHODS: We first assessed the psychometric properties of the CARE measure, completed simultaneously by examiners and standardized patients (SP, either teachers - SPteacher - or civil society members - SPcivil society), for each student, at the end of an OSCE station. We then assessed the qualitative/quantitative agreement between examiners and SP. RESULTS: We included 129 students, distributed in eight groups, four groups for each SP type. The CARE measure showed satisfactory psychometric properties in the context of the study but moderate, and even poor inter-rater reliability for some items. Considering paired observations, examiners scored lower than SPs (p < 0.001) regardless of the SP type. However, the difference in score was greater when the SP was a SPteacher rather than a SPcivil society (p < 0.01). CONCLUSION: Despite acceptable psychometric properties, inter-rater reliability of the CARE measure between examiners and SP was unsatisfactory. The choice of examiner as well as the type of SP seems critical to ensure a fair measure of empathy during OSCEs.

Multivariate joint model under competing risks to predict death of hospitalized patients for SARS-CoV-2 infection.

During the coronavirus disease 2019 (COVID-19) pandemic, several clinical prognostic scores have been proposed and evaluated in hospitalized patients, relying on variables available at admission. However, capturing data collected from the longitudinal follow-up of patients during hospitalization may improve prediction accuracy of a clinical outcome. To answer this question, 327 patients diagnosed with COVID-19 and hospitalized in an academic French hospital between January and July 2020 are included in the analysis. Up to 59 biomarkers were measured from the patient admission to the time to death or discharge from hospital. We consider a joint model with multiple linear or nonlinear mixed-effects models for biomarkers evolution, and a competing risks model involving subdistribution hazard functions for the risks of death and discharge. The links are modeled by shared random effects, and the selection of the biomarkers is mainly based on the significance of the link between the longitudinal and survival parts. Three biomarkers are retained: the blood neutrophil counts, the arterial pH, and the C-reactive protein. The predictive performances of the model are evaluated with the time-dependent area under the curve (AUC) for different landmark and horizon times, and compared with those obtained from a baseline model that considers only information available at admission. The joint modeling approach helps to improve predictions when sufficient information is available. For landmark 6 days and horizon of 30 days, we obtain AUC [95% CI] 0.73 [0.65, 0.81] and 0.81 [0.73, 0.89] for the baseline and joint model, respectively (p = 0.04). Statistical inference is validated through a simulation study.

Incidence, risk factors and treatment of central nervous system immune reconstitution inflammatory syndrome in non-HIV patients with tuberculous meningitis: a multicentre observational study.

BACKGROUND: Immune reconstitution inflammatory syndrome (IRIS) affecting the central nervous system (CNS) is associated with poor outcomes. AIMS: To report on risk factors for CNS-IRIS following tuberculous meningitis (TBM) in HIV-negative patients. METHODS: In this retrospective multicentre study, all HIV-negative adult patients admitted between 2003 and 2021 with microbiologically proven TBM were included. The primary outcome measure was IRIS onset over follow-up. Characteristics of patients who developed IRIS were described. Factors associated with IRIS were identified using a multivariable logistic regression procedure. RESULTS: Fifty-six patients (33.0 (27.0-44.3) years, 39 (69.6%) men) with microbiologically proven TBM were studied. All patients received antituberculosis treatment and 48 (n = 48/56; 85.7%) steroids at TBM diagnosis. During a median follow-up of 18.0 (12.0-27.3) months, IRIS occurred in 28 (n = 28/56, 50.0%) patients, at a median time of 2.0 (1.0-3.0) months after antituberculosis treatment was started. IRIS involved the CNS in all but one case. Imaging revealed new (n = 23/28, 82.1%) and/or worsening (n = 21/28; 75.0%) of previously recognised lesions. Multivariable analysis showed that meningeal enhancement on brain magnetic resonance imaging (MRI) (odds ratio (OR): 15.3; 95% confidence interval (CI): (1.19-1193.5)) at TBM diagnosis and high blood albumin level (OR: 1.21; 95% CI: (1.02-1.60)) were associated with the occurrence of CNS-IRIS during follow-up. CONCLUSION: CNS-IRIS following TBM in non-HIV patients appears frequent and severe. Meningeal enhancement on brain MRI at tuberculosis diagnosis is a risk factor for CNS-IRIS.

Prior participation as a standardized patient improves OSCE scores of third-year medical students: A pilot comparative study at Université Paris Cité Medical School.

OBJECTIVE: Objective structured clinical examinations (OSCE) are one of the main modalities of skills' assessment of medical students. We aimed to evaluate the educational value of the participation of third-year medical students in OSCE as standardized patients. METHODS: We conducted a pilot OSCE session where third-year students participated in sixth-year students' OSCE as standardized patients (cases). Their scores in their own subsequent OSCE exams were compared with third-year students who had not participated (controls). Students' perceptions (stress, preparedness, ease) regarding their OSCE were compared with self-administered questionnaires. RESULTS: A total of 42 students were included (9 cases and 33 controls). Median [IQR] overall score (out of 20 points) obtained by the cases was 17 [16.3-18] versus 14.5 [12.7-16.3] for controls (p < 0.001). Students' perception of their evaluation (difficulty, stress, communication) was not significantly different between cases and controls. Most cases agreed that their participation was beneficial in reducing their stress (67%), increasing their preparedness (78%) and improving their communication skills (100%). All cases agreed that this participation should be offered more widely. CONCLUSION: Students' participation in OSCE as standardized patients led to better performance on their own OSCE and were considered beneficial. This approach could be more broadly generalized to improve student performance.

Interprofessional exchanges during COVID-19 at the Bichat Claude-Bernard Hospital: insights for research / Échanges interprofessionnels en temps de COVID-19 à l'hôpital Bichat Claude-Bernard : éclairages pour la recherche

The management of the COVID-19 epidemic has disrupted the organization of healthcare in hospitals. As part of a research project on the resilience of hospitals and their staff to the COVID-19 pandemic (HoSPiCOVID), we have documented their adaptation strategies in five countries (France, Mali, Brazil, Canada, Japan). In France, at the end of the first wave (June 2020), a team of researchers and health professionals from the Bichat Claude-Bernard Hospital organized focus groups to acknowledge these achievements and to share their experiences. One year later, further exchanges were held to discuss and validate the research results. The objective of this short contribution is to describe the insights of these interprofessional exchanges conducted at the Bichat Claude-Bernard Hospital. We show that these exchanges allowed: 1) to create spaces for professionals to speak, 2) to enrich and validate the data collected through a collective acknowledgment of salient aspects related to the experiences of the crisis, and 3) to account for the attitudes, interactions, and power dynamics for these professionals in a crisis management context.

La gestion de l'épidémie de COVID-19 a bouleversé l'organisation des soins dans les hôpitaux. Dans le cadre d'un projet de recherche portant sur la résilience des hôpitaux et des professionnel·le·s de santé face à la pandémie de COVID-19 (HoSPiCOVID), nous avons documenté leurs stratégies d'adaptation dans cinq pays (France, Mali, Brésil, Canada, Japon). En France, dès la fin de la première vague (juin 2020), une équipe de chercheur·se·s et des professionnel·le·s de santé de l'hôpital Bichat Claude-Bernard ont organisé des groupes de discussion pour prendre acte de ces accomplissements et pour partager leurs expériences vécues. Un an plus tard, d'autres échanges ont permis de discuter et de valider les résultats de la recherche. L'objectif de cette contribution courte est de décrire les apports de ces temps d'échanges interprofessionnels conduits à l'hôpital Bichat Claude-Bernard. Nous montrons que ceux-ci ont permis : 1) de créer des espaces de parole pour les professionnel·le·s, 2) d'enrichir et de valider les données collectées au travers d'une (re)connaissance collective d'aspects saillants relatifs aux vécus de la crise, et 3) de rendre compte des attitudes, interactions et rapports de pouvoir de ces professionnel·le·s dans un contexte de gestion de crise.

Use of Feedback Data to Reduce Surgical Site Infections and Optimize Antibiotic Use in Surgery: A Systematic Scoping Review.

OBJECTIVE: Surgical site infection (SSI) prevention remains significant, particularly in the era of antimicrobial resistance. Feedback on practices and outcomes is known to be key to reduce SSI rates and optimize antibiotic usage. However, the optimal method, format and frequency of feedback for surgical teams remains unclear. The objective of the study is to understand how data from surveillance and audit are fed back in routine surgical practice. METHODS: A systematic scoping review was conducted, using well-established implementation science frameworks to code the data. Two electronic health-oriented databases (MEDLINE, EMBASE) were searched to September 2019. We included studies that assessed the use of feedback as a strategy either in the prevention and management of SSI and/or in the use of antibiotics perioperatively. RESULTS: We identified 21 studies: 17 focused on SSI rates and outcomes and 10 studies described antimicrobial stewardship for SSI (with some overlap in focus). Several interventions were reported, mostly multimodal with feedback as a component. Feedback was often provided in written format (62%), either individualized (38%) or in group (48%). Only 25% of the studies reported that feedback cascaded down to the frontline perioperative staff. In 65% of the studies, 1 to 5 implementation strategies were used while only 5% of the studies reported to have utilized more than 15 implementation strategies. Among studies reporting antibiotic usage in surgery, most (71%) discussed compliance with surgical antibiotic prophylaxis. CONCLUSIONS: Our findings highlight the need to provide feedback to all levels of perioperative care providers involved in patient care. Future research in this area should report implementation parameters in more detail.

Computerized decision support system (CDSS) use for surveillance of antimicrobial resistance in urinary tract infections in primary care.

BACKGROUND: Hospital-based surveillance of antimicrobial resistance may be irrelevant as a guide to antimicrobial use for urinary tract infections (UTIs) in primary care. OBJECTIVES: To highlight the value of online computerized decision support systems (CDSS) in providing information on the surveillance of antimicrobial resistance in community-acquired UTIs. METHODS: We collected the susceptibility profile for key antibiotics by type of UTI involving Escherichia coli from 2017 to 2020, using queries for UTI (Q-UTI) submitted to a French CDSS. We compared these results with those from the MedQual French surveillance system for community-acquired UTI and the European Antimicrobial Resistance Surveillance Network (EARS-NET) for invasive infections. RESULTS: We collected 43 591 Q-UTI, of which 10 192 (23%) involved E. coli: 40% cystitis, 32% male-UTI, and 27% pyelonephritis. Resistance was 41.3% (95% CI, 40.3%-42.2%) for amoxicillin, 16.6% (95% CI, 15.9%-17.3%) for fluoroquinolones, 6.6% (95% CI, 6.1%-7.0%) for third-generation cephalosporins (3GC), and 5.7% (95% CI, 5.2%-6.1%) for aminoglycosides. Resistance to amoxicillin was lower than that reported in MedQual (42.7%, P value = 0.004), and in EARS-NET (55.2%, P value < 0.001). For fluoroquinolones, resistance was higher than in MedQual (12.0%, P value < 0.001) and EARS-NET (15.8%, P value = 0.041). In complicated pyelonephritis and male UTI, fluoroquinolone resistance peaked at ∼20%. For 3GC, all UTI had higher resistance than in MedQual (3.5%, P value < 0.001), but lower than in EARS-NET (9.5%, P value < 0.001). Aminoglycoside resistance was not reported by MedQual, and was lower than in EARS-NET (7.1%, P value < 0.001). CONCLUSIONS: CDSS can inform prescribers in real-time about the ecology and surveillance of E. coli resistance in community-acquired UTI. In complicated upper UTIs, they can underline the risk of empirical use of fluoroquinolones and suggest preferential use of 3GC.

Effect of remdesivir on viral dynamics in COVID-19 hospitalized patients: a modelling analysis of the randomized, controlled, open-label DisCoVeRy trial.

BACKGROUND: The antiviral efficacy of remdesivir in COVID-19 hospitalized patients remains controversial. OBJECTIVES: To estimate the effect of remdesivir in blocking viral replication. METHODS: We analysed nasopharyngeal normalized viral loads from 665 hospitalized patients included in the DisCoVeRy trial (NCT04315948; EudraCT 2020-000936-23), randomized to either standard of care (SoC) or SoC + remdesivir. We used a mathematical model to reconstruct viral kinetic profiles and estimate the antiviral efficacy of remdesivir in blocking viral replication. Additional analyses were conducted stratified on time of treatment initiation (≤7 or >7 days since symptom onset) or viral load at randomization (< or ≥3.5 log10 copies/104 cells). RESULTS: In our model, remdesivir reduced viral production by infected cells by 2-fold on average (95% CI: 1.5-3.2-fold). Model-based simulations predict that remdesivir reduced time to viral clearance by 0.7 days compared with SoC, with large inter-individual variabilities (IQR: 0.0-1.3 days). Remdesivir had a larger impact in patients with high viral load at randomization, reducing viral production by 5-fold on average (95% CI: 2.8-25-fold) and the median time to viral clearance by 2.4 days (IQR: 0.9-4.5 days). CONCLUSIONS: Remdesivir halved viral production, leading to a median reduction of 0.7 days in the time to viral clearance compared with SoC. The efficacy was larger in patients with high viral load at randomization.

Machine learning, antimicrobial stewardship, and solid organ transplantation: Is this the future?

BACKGROUND: The use of machine learning (ML) in infectious diseases is expanding. OBJECTIVES: This review aims to provide an overview of the literature on ML for clinical decision support in antimicrobial stewardship in the particular context of solid organ transplantation (SOT). METHODS: References for this review were identified through searches of MEDLINE/PubMed and Google Scholar databases up to July 2022. RESULTS: ML may improve the prediction of infectious complications and the diagnosis and treatment of infectious diseases in SOT recipients. One of the most studied applications for antimicrobial stewardship is the individual prediction of antimicrobial resistance that could guide the empiric use of anti-infective treatments. ML may also guide the choice of antimicrobial dose taking into account the interactions with immunosuppressive drugs. The main challenge to the development of ML clinical decision support systems (CDSSs) in SOT is the development of large clinical databases, accessible to all, with good quality, comprehensive, and diversified data. ML-driven CDSSs are still at an experimental stage, and the education of clinicians about the benefits and limits of ML is essential. CONCLUSION: ML could improve antimicrobial stewardship for SOT, but literature on that specific topic is scarce. Future studies are needed to design ML-CDSS in the particular population of solid organ recipients and report clinical outcomes following use in routine practice.

Perceptions, current practices, and interventions of community pharmacists regarding antimicrobial stewardship: A qualitative study.

BACKGROUND: Community health care accounts for the vast majority of antibiotic use in Europe. Given the threat of antimicrobial resistance (AMR), there is an urgent need to develop new antimicrobial stewardship (AMS) interventions in primary care that could involve different health care providers, including community pharmacists. OBJECTIVES: This study aimed to explore the perceptions, currents practices, and interventions of community pharmacists regarding AMS. METHODS: Semistructured qualitative interviews were conducted with community pharmacists in France. Participants were recruited through a professional organization of community pharmacists combined with a snowballing technique. Interviews were audio recorded, transcribed, and analyzed using thematic analysis. The Consolidated Framework for Implementation Research was used while developing the interview guide and carrying out thematic analysis. RESULTS: Sixteen community pharmacists participated. All the respondents had good awareness about antimicrobial resistance and believed that community pharmacists had an important role in tackling AMR. Some barriers to community pharmacists' participation in AMS were identified such as difficult interactions with prescribers, lack of time, and lack of access to patient medical records and diagnosis. Increased patient education, audits and feedback of antibiotic prescribing, increased point-of-care testing, and delayed prescribing were interventions suggested by the pharmacists to improve antibiotic use in primary care. Strategies cited by participants to facilitate the implementation of such interventions are increased pharmacist-general practitioner collaboration, specialized training, clinical decision support tools, and financial incentives. CONCLUSION: This study suggests that community pharmacists could play a greater role in infection management and AMS interventions. Further interprofessional collaboration is needed to optimize antibiotic prescribing and utilization in community health care.

Added value of rapid respiratory syndromic testing at point of care versus central laboratory testing: a controlled clinical trial.

BACKGROUND: Virus-associated respiratory infections are in the spotlight with the emergence of SARS-CoV-2 and the expanding use of multiplex PCR (mPCR). The impact of molecular testing as a point-of-care test (POCT) in the emergency department (ED) is still unclear. OBJECTIVES: To compare the impact of a syndromic test performed in the ED as a POCT and in the central laboratory on length of stay (LOS), antibiotic use and single-room assignment. METHODS: From 19 November 2019 to 9 March 2020, adults with acute respiratory illness seeking care in the ED of a large hospital were enrolled, with mPCR performed with a weekly alternation in the ED as a POCT (week A) or in the central laboratory (week B). RESULTS: 474 patients were analysed: 275 during A weeks and 199 during B weeks. Patient characteristics were similar. The hospital LOS (median 7 days during week A versus 7 days during week B, P = 0.29), the proportion of patients with ED-LOS <1 day (63% versus 60%, P = 0.57) and ED antibiotic prescription (59% versus 58%, P = 0.92) were not significantly different. Patients in the POCT arm were more frequently assigned a single room when having a positive PCR for influenza, respiratory syncytial virus and metapneumovirus [52/70 (74%) versus 19/38 (50%) in the central testing arm, P = 0.012]. CONCLUSIONS: Syndromic testing performed in the ED compared with the central laboratory failed to reduce the LOS or antibiotic consumption in patients with acute respiratory illness, but was associated with an increased single-room assignment among patients in whom a significant respiratory pathogen was detected.

Open science saves lives: lessons from the COVID-19 pandemic.

In the last decade Open Science principles have been successfully advocated for and are being slowly adopted in different research communities. In response to the COVID-19 pandemic many publishers and researchers have sped up their adoption of Open Science practices, sometimes embracing them fully and sometimes partially or in a sub-optimal manner. In this article, we express concerns about the violation of some of the Open Science principles and its potential impact on the quality of research output. We provide evidence of the misuses of these principles at different stages of the scientific process. We call for a wider adoption of Open Science practices in the hope that this work will encourage a broader endorsement of Open Science principles and serve as a reminder that science should always be a rigorous process, reliable and transparent, especially in the context of a pandemic where research findings are being translated into practice even more rapidly. We provide all data and scripts at https://osf.io/renxy/ .

Learning from public health and hospital resilience to the SARS-CoV-2 pandemic: protocol for a multiple case study (Brazil, Canada, China, France, Japan, and Mali).

BACKGROUND: All prevention efforts currently being implemented for COVID-19 are aimed at reducing the burden on strained health systems and human resources. There has been little research conducted to understand how SARS-CoV-2 has affected health care systems and professionals in terms of their work. Finding effective ways to share the knowledge and insight between countries, including lessons learned, is paramount to the international containment and management of the COVID-19 pandemic. The aim of this project is to compare the pandemic response to COVID-19 in Brazil, Canada, China, France, Japan, and Mali. This comparison will be used to identify strengths and weaknesses in the response, including challenges for health professionals and health systems. METHODS: We will use a multiple case study approach with multiple levels of nested analysis. We have chosen these countries as they represent different continents and different stages of the pandemic. We will focus on several major hospitals and two public health interventions (contact tracing and testing). It will employ a multidisciplinary research approach that will use qualitative data through observations, document analysis, and interviews, as well as quantitative data based on disease surveillance data and other publicly available data. Given that the methodological approaches of the project will be largely qualitative, the ethical risks are minimal. For the quantitative component, the data being used will be made publicly available. DISCUSSION: We will deliver lessons learned based on a rigorous process and on strong evidence to enable operational-level insight for national and international stakeholders.

Rationale of a loading dose initiation for hydroxychloroquine treatment in COVID-19 infection in the DisCoVeRy trial.

Around the world, several dose regimens of hydroxychloroquine have been used for COVID-19 infection treatment, with the objective of identifying a short-term course. Hydroxychloroquine was found to decrease the viral replication in a concentration-dependent manner in vitro and to be more active when added prior to the viral challenge. A loading dose is used to rapidly attain a target drug concentration, which is usually considered as approximately the steady-state concentration. With a loading dose, the minimum effective concentration is reached much more rapidly than when using only the maintenance dose from the start. Thus, we propose a hydroxychloroquine sulphate dose regimen of 400 mg twice daily at Day 1 then 400 mg once daily from Day 2 to Day 10. We aim to evaluate this in the C-20-15 DisCoVeRy trial.

A computerized decision support system (CDSS) for antibiotic prescription in primary care-Antibioclic: implementation, adoption and sustainable use in the era of extended antimicrobial resistance.

OBJECTIVES: To describe the implementation and use of a computerized decision support system (CDSS) for antibiotic prescription in primary care in France (Antibioclic). The CDSS targets 37 infectious diseases and has been freely available on a website since 2011. METHODS: Description and implementation of the architecture of a CDSS for antibiotic prescription in general practice. Analysis of the queries made between 2012 and 2018 on the CDSS by GPs. Analysis of two cross-sectional studies of users in 2014 and 2019. RESULTS: The number of queries increased from a median of 796/day [IQR, 578-989] in 2012 to 11 125/day [5592-12 505] in 2018. Unique users increased from 414/day [245-494] in 2012 to 5365/day [2891-5769] in 2018. Time taken to make a query was 2 min [1.9-2.1]. Among 3 542 347 queries in 2018, 78% were for adults. Six situations accounted for ≥50% of queries: cystitis; acute otitis media; acute sinusitis; community-acquired pneumonia; sore throat; and pyelonephritis. Queries concerned pathologies for which antibiotic prescription was necessary (64%), was conditional on additional clinical steps (34%) or was not recommended (2%). Most users (81%) were GPs, with median age of 38 years [31-52] and 58% were female. Among the 4016 GPs who responded to the surveys, the vast majority (96%) reported using the CDSS during the consultation, with 24% systematically using Antibioclic to initiate an antibiotic course and 93% having followed the CDSS recommendation for the latest prescription. Most GPs were comfortable using the CDSS in front of a patient. CONCLUSIONS: Antibioclic has been adopted and is widely used in primary care in France. Its interoperability could allow its adaptation and implementation in other countries.

Performance and impact of a multiplex PCR in ICU patients with ventilator-associated pneumonia or ventilated hospital-acquired pneumonia.

BACKGROUND: Early appropriate antibiotic therapy reduces morbidity and mortality of severe pneumonia. However, the emergence of bacterial resistance requires the earliest use of antibiotics with the narrowest possible spectrum. The Unyvero Hospitalized Pneumonia (HPN, Curetis) test is a multiplex PCR (M-PCR) system detecting 21 bacteria and 19 resistance genes on respiratory samples within 5 h. We assessed the performance and the potential impact of the M-PCR on the antibiotic therapy of ICU patients. METHODS: In this prospective study, we performed a M-PCR on bronchoalveolar lavage (BAL) or plugged telescoping catheter (PTC) samples of patients with ventilated HAP or VAP with Gram-negative bacilli or clustered Gram-positive cocci. This study was conducted in 3 ICUs in a French academic hospital: the medical and infectious diseases ICU, the surgical ICU, and the cardio-surgical ICU. A multidisciplinary expert panel simulated the antibiotic changes they would have made if the M-PCR results had been available. RESULTS: We analyzed 95 clinical samples of ventilated HAP or VAP (72 BAL and 23 PTC) from 85 patients (62 males, median age 64 years). The median turnaround time of the M-PCR was 4.6 h (IQR 4.4-5). A total of 90/112 bacteria were detected by the M-PCR system with a global sensitivity of 80% (95% CI, 73-88%) and specificity of 99% (95% CI 99-100). The sensitivity was better for Gram-negative bacteria (90%) than for Gram-positive cocci (62%) (p = 0.005). Moreover, 5/8 extended-spectrum beta-lactamases (CTX-M gene) and 4/4 carbapenemases genes (3 NDM, one oxa-48) were detected. The M-PCR could have led to the earlier initiation of an effective antibiotic in 20/95 patients (21%) and to early de-escalation in 37 patients (39%) but could also have led to one (1%) inadequate antimicrobial therapy. Among 17 empiric antibiotic treatments with carbapenems, 10 could have been de-escalated in the following hours according to the M-PCR results. The M-PCR also led to 2 unexpected diagnosis of severe legionellosis confirmed by culture methods. CONCLUSIONS: Our results suggest that the use of a M-PCR system for respiratory samples of patients with VAP and ventilated HAP could improve empirical antimicrobial therapy and reduce the use of broad-spectrum antibiotics.

Paving the Way for the Implementation of a Decision Support System for Antibiotic Prescribing in Primary Care in West Africa: Preimplementation and Co-Design Workshop With Physicians.

BACKGROUND: Suboptimal use of antibiotics is a driver of antimicrobial resistance (AMR). Clinical decision support systems (CDSS) can assist prescribers with rapid access to up-to-date information. In low- and middle-income countries (LMIC), the introduction of CDSS for antibiotic prescribing could have a measurable impact. However, interventions to implement them are challenging because of cultural and structural constraints, and their adoption and sustainability in routine clinical care are often limited. Preimplementation research is needed to ensure relevant adaptation and fit within the context of primary care in West Africa. OBJECTIVE: This study examined the requirements for a CDSS adapted to the context of primary care in West Africa, to analyze the barriers and facilitators of its implementation and adaptation, and to ensure co-designed solutions for its adaptation and sustainable use. METHODS: We organized a workshop in Burkina Faso in June 2019 with 47 health care professionals representing 9 West African countries and 6 medical specialties. The workshop began with a presentation of Antibioclic, a publicly funded CDSS for antibiotic prescribing in primary care that provides personalized antibiotic recommendations for 37 infectious diseases. Antibioclic is freely available on the web and as a smartphone app (iOS, Android). The presentation was followed by a roundtable discussion and completion of a questionnaire with open-ended questions by participants. Qualitative data were analyzed using thematic analysis. RESULTS: Most of the participants had access to a smartphone during their clinical consultations (35/47, 74%), but only 49% (23/47) had access to a computer and none used CDSS for antibiotic prescribing. The participants considered that CDSS could have a number of benefits including updating the knowledge of practitioners on antibiotic prescribing, improving clinical care and reducing AMR, encouraging the establishment of national guidelines, and developing surveillance capabilities in primary care. The most frequently mentioned contextual barrier to implementing a CDSS was the potential risk of increasing self-medication in West Africa, where antibiotics can be bought without a prescription. The need for the CDSS to be tailored to the local epidemiology of infectious diseases and AMR was highlighted along with the availability of diagnostic tests and antibiotics using national guidelines where available. Participants endorsed co-design involving all stakeholders, including nurses, midwives, and pharmacists, as central to any introduction of CDSS. A phased approach was suggested by initiating and evaluating CDSS at a pilot site, followed by dissemination using professional networks and social media. The lack of widespread internet access and computers could be circumvented by a mobile app with an offline mode. CONCLUSIONS: Our study provides valuable information for the development and implementation of a CDSS for antibiotic prescribing among primary care prescribers in LMICs and may, in turn, contribute to improving antibiotic use, clinical outcomes and decreasing AMR.

How and why do French medical students choose the specialty of infectious and tropical diseases? A national cross-sectional study.

BACKGROUND: Infectious and tropical diseases (ID) physicians are needed now more than ever to tackle existing and emerging global threats. However, in many countries, ID is not recognized as a qualifying specialty. The creation of ID residency in 2017 in France offers the opportunity to know how and why the specialty is chosen by medical students. METHODS: We first analyzed the choice of specialty of all French medical students in 2017 and 2018 according to their rank at the national exam that ends medical studies. A web questionnaire was then sent in January 2019 to all ID residents in France (n = 100) to assess the factors influencing their choice of specialty and their career plan. RESULTS: We analyzed the choice of 17,087 medical students. ID was the first-chosen specialty with a median national rank of 526/8539, followed by plastic surgery and ophthalmology. The questionnaire was completed by 90% of the French ID residents (n = 100). The most encouraging factors to choose ID were the multi-system approach of the specialty, the importance of diagnostic medicine and having done an internship in ID during medical school. The potential deterrents were the work-life balance, the workload and the salary. CONCLUSIONS: The recent recognition of ID as a qualifying specialty in France can be considered a success insofar as the specialty is the most popular among all medical and surgical specialties. Individuals who choose ID are attracted by the intellectual stimulation of the specialty but express concerns about the working conditions and salaries.