Revised Definitions of Tuberculosis Resistance and Treatment Outcomes, France, 2006-2019.

Definitions of resistance in multidrug-resistant tuberculosis (MDR TB) and extensively drug-resistant tuberculosis (XDR TB) have been updated. Pre-XDR TB, defined as MDR TB with additional resistance to fluoroquinolones, and XDR TB, with additional resistance to bedaquiline or linezolid, are frequently associated with treatment failure and toxicity. We retrospectively determined the effects of pre-XDR/XDR TB resistance on outcomes and safety of MDR TB treatment in France. The study included 298 patients treated for MDR TB at 3 reference centers during 2006-2019. Of those, 205 (68.8%) cases were fluoroquinolone-susceptible MDR TB and 93 (31.2%) were pre-XDR/XDR TB. Compared with fluoroquinolone-susceptible MDR TB, pre-XDR/XDR TB was associated with more cavitary lung lesions and bilateral disease and required longer treatment. Overall, 202 patients (67.8%) had favorable treatment outcomes, with no significant difference between pre-XDR/XDR TB (67.7%) and fluoroquinolone-susceptible MDR TB (67.8%; p = 0.99). Pre-XDR/XDR TB was not associated with higher risk for serious adverse events.

Streptococcal and Staphylococcus aureus prosthetic joint infections: are they really different?

BACKGROUND: Staphylococci and streptococci are the most frequent pathogens isolated from prosthetic joint infections (PJIs). The aim of this study was to analyze the outcome of streptococcal and methicillin-susceptible Staphylococcus aureus (MSSA) PJIs. METHODS: All monomicrobial streptococcal and MSSA PJIs managed in a French Referral Center (2010-2017) were sampled from the prospective PJIs cohort study. The primary outcome of interest was the cumulative reinfection-free survival at a 2-year follow-up. RESULTS: Two hundred and nine patients with 91 streptococcal and 132 staphylococcal infections were analyzed. Patients with streptococcal PJI were older, and infection was more frequently hematogenous. Reinfection-free survival rates at 2-years after all treatment strategies were higher for patients with streptococcal PJI (91% vs 81%; P = .012), but differed according to the strategy. After exchange arthroplasty, no outcome differences were observed (89% vs 93%; P = .878); after debridement, antibiotics and implant retention (DAIR), the reinfection-free survival rate was higher for patients with streptococcal PJI (87% vs 60%; P = .062). For patients managed with prolonged suppressive antibiotic therapy (SAT) alone, those with streptococcal PJIs had a 100% infection-free survival (100% vs 31%; P < .0001). CONCLUSIONS: Reinfection-free survival after DAIR and SAT was better for patients with streptococcal than those with MSSA PJIs. No difference was observed after prosthesis exchange.

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.

The ADAMTS131239-1253 peptide is a dominant HLA-DR1-restricted CD4+ T-cell epitope.

Acquired thrombotic thrombocytopenic purpura is a rare and severe disease characterized by auto-antibodies directed against "A Disintegrin And Metalloproteinase with Thrombospondin type 1 repeats, 13th member" (ADAMTS13), a plasma protein involved in hemostasis. Involvement of CD4+ T cells in the pathogenesis of the disease is suggested by the IgG isotype of the antibodies. However, the nature of the CD4+ T-cell epitopes remains poorly characterized. Here, we determined the HLA-DR-restricted CD4+ T-cell epitopes of ADAMTS13. Candidate T-cell epitopes were predicted in silico and binding affinities were confirmed in competitive enzyme-linked immunosorbent assays. ADAMTS13-reactive CD4+ T-cell hybridomas were generated following immunization of HLA-DR1 transgenic mice (Sure-L1 strain) and used to screen the candidate epitopes. We identified the ADAMTS131239-1253 peptide as the single immunodominant HLA-DR1-restricted CD4+ T-cell epitope. This peptide is located in the CUB2 domain of ADAMTS13. It was processed by dendritic cells, stimulated CD4+ T cells from Sure-L1 mice and was recognized by CD4+ T cells from an HLA-DR1-positive patient with acute thrombotic thrombocytopenic purpura. Interestingly, the ADAMTS131239-1253 peptide demonstrated promiscuity towards HLA-DR11 and HLA-DR15. Our work paves the way towards the characterization of the ADAMTS13-specific CD4+ T-cell response in patients with thrombotic thrombocytopenic purpura using ADAMTS131239-1253-loaded HLA-DR tetramers.

Statistics of Rare Events.

Rare events can sometime arise in clinical development of treatments. For example, CYPIDES was a single-arm study of the CYP11A1 inhibitor ODM-208 to treat metastatic prostate cancer.1 Preclinical testing of the compound identified elevated thyroid-stimulating hormone (TSH) and bilirubin in rats and dogs. Unusual findings in preclinical testing focus attention and magnify evidence if similar results occur in humans. By analogy, imagine a murder trial in which the only evidence against the defendant arose from a database search of DNA matching the partial profile found at the crime scene. Multiple people could match, so without other evidence, the perpetrator could be any of them.

Availability of drugs and resistance testing for bedaquiline, pretomanid, linezolid, and moxifloxacin (BPaL(M)) regimen for rifampicin-resistant tuberculosis in Europe.

OBJECTIVES: Multidrug-resistant/rifampicin-resistant tuberculosis is a major obstacle to successful tuberculosis control. The recommendation by the WHO to use bedaquiline, pretomanid, linezolid, and moxifloxacin (BPaL(M)) for 6 months, based on results of two trials with high efficacy and low toxicity, has revolutionized treatment options. METHODS: In this study, representatives of the Tuberculosis Network European Trials group in 44 of 54 countries of the WHO Europe region documented the availability of the medicines and drug susceptibility testing (DST) of the BPaL(M) regimen through a structured questionnaire between September and November 2023. RESULTS: In total, 24 of 44 (54.5%), 42 of 44 (95.5%), 43 of 44 (97.7%), and 43 of 44 (97.7%) countries had access to pretomanid, bedaquiline, linezolid, and moxifloxacin, respectively. Overall, 23 of 44 (52.3%) countries had access to all the drugs composing the BPaL(M) regimen. In total, 21 of 44 (47.7%), 37 of 44 (84.1%), 40 of 44 (90.9%), and 41 of 44 (93.2%) countries had access to DST for pretomanid, bedaquiline, linezolid, and moxifloxacin, respectively. Overall, DST was available for all medicines composing the BPaL(M) regimen in 21 of 44 (47.7%) countries, including countries where pretomanid DST was available at specialized laboratories. The availability of DST for the drugs the countries had access to, varied from 87.5% to 95.3% (pretomanid 21 of 24 (87.5%), bedaquiline 37 of 42 (88.1%), linezolid 40 of 43 (93.1%) and moxifloxacin 41 of 43 (95.3%)). DISCUSSION: In only about half of the countries participating in the survey, clinicians had access to all the BPaL(M) regimen drugs. A complete DST for the BPaL(M) medicines was possible in less than half of the countries, because of the low accessibility of DST for pretomanid. Equal access to new regimens is urgently needed in Europe and a rapid scale up of DST, especially for pretomanid, is important to prevent unnoticed spread of drug resistance.

Machine learning to predict antimicrobial resistance: future applications in clinical practice?

INTRODUCTION: Machine learning (ML) is increasingly being used to predict antimicrobial resistance (AMR). This review aims to provide physicians with an overview of the literature on ML as a means of AMR prediction. METHODS: References for this review were identified through searches of MEDLINE/PubMed, EMBASE, Google Scholar, ACM Digital Library, and IEEE Xplore Digital Library up to December 2023. RESULTS: Thirty-six studies were included in this review. Thirty-two studies (32/36, 89 %) were based on hospital data and four (4/36, 11 %) on outpatient data. The vast majority of them were conducted in high-resource settings (33/36, 92 %). Twenty-four (24/36, 67 %) studies developed systems to predict drug resistance in infected patients, eight (8/36, 22 %) tested the performances of ML-assisted antibiotic prescription, two (2/36, 6 %) assessed ML performances in predicting colonization with carbapenem-resistant bacteria and, finally, two assessed national and international AMR trends. The most common inputs were demographic characteristics (25/36, 70 %), previous antibiotic susceptibility testing (19/36, 53 %) and prior antibiotic exposure (15/36, 42 %). Thirty-three (92 %) studies targeted prediction of Gram-negative bacteria (GNB) resistance as an output (92 %). The studies included showed moderate to high performances, with AUROC ranging from 0.56 to 0.93. CONCLUSION: ML can potentially provide valuable assistance in AMR prediction. Although the literature on this topic is growing, future studies are needed to design, implement, and evaluate the use and impact of ML decision support systems.

Epidemiology, treatment and outcomes of infected pancreatic necrosis in France: a bicenter study.

INTRODUCTION: Acute necrotizing pancreatitis (ANP) mortality increases when pancreatic necrosis is infected (IPN). Current treatment of IPN relies on prolonged antibiotic therapies associated with a step-up strategy of drainage. The objective of this study was to analyze IPN treatment outcomes in two referral centers in France. METHODS: Data of consecutive patients with documented IPN hospitalized in two expert centers in France between 2014 and 2019 were retrospectively reviewed. The composite primary outcome was the proportion of unsuccessful management outcome, defined as new emergency drainage to treat sepsis with organ failure, an unplanned new antibiotic course, an unplanned prolongation of antibiotic course and/or death by septic shock, within three months following the diagnosis of ANP. RESULTS: All in all, 187 patients (138 males; 74.0%), with documented IPN were included. The most frequently identified microorganism was Escherichia coli (26.2%). Ninety-eight patients (52.4%) were admitted to an intensive care unit or resuscitation ward within the first two days of ANP care. Overall, 126 patients (67.4%) endured an unsuccessful outcome: new emergency drainage to treat acute sepsis (62.0%), unplanned new antibiotic course (47.1%), unplanned prolongation of antibiotic course (44.9%) and/or death by septic shock complicating IPN (8.0%). CONCLUSION: The unfavorable evolution in two thirds of patients shows that determination of optimal drainage timing and choice of antibiotic therapy remain major challenges in 2024.

Incidence of COVID-19 mRNA vaccine symptomatic breakthrough infections during Omicron circulation in adults with or without infection prior to vaccination.

OBJECTIVES: COVID-19 vaccine breakthrough infections were frequently reported during circulation of the Omicron variant. The ANRS|MIE CoviCompareP study investigated these infections in adults vaccinated and boosted with BNT162b2 [Pfizer-BioNTech] and with/without SARS-CoV-2 infection before vaccination. METHODS: In the first half of 2021, healthy adults (aged 18-45, 65-74 and 75 or older) received either one dose of BNT162b2 (n = 120) if they had a documented history of SARS-CoV-2 infection at least five months previously, or two doses (n = 147) if they had no history confirmed by negative serological tests. A first booster dose was administered at least 6 months after the primary vaccination, and a second booster dose, if any, was reported in the database. Neutralizing antibodies (NAbs) against the European (D614G) strain and the Omicron BA.1 variant were assessed up to 28 days after the first booster dose. A case-control analysis was performed for the 252 participants who were followed up in 2022, during the Omicron waves. RESULTS: From January to October 2022, 78/252 (31%) had a documented symptomatic breakthrough infection after full vaccination: 21/117 (18%) in those who had been infected before vaccination vs. 57/135 (42%) in those who had not. In a multivariate logistic regression model, factors associated with a lower risk of breakthrough infection were older age, a higher number of booster doses, and higher levels of Omicron BA.1 NAb titers in adults with infection before vaccination, but not in those without prior infection. CONCLUSION: Our results highlight the need to consider immune markers of protection in association with infection and vaccination history.

Infectious Complications of Targeted Therapies for Solid Cancers or Leukemias/Lymphomas.

BACKGROUND: Infections are well known complications of some targeted drugs used to treat solid organ cancer and hematological malignancies. Furthermore, Individual patient risk factors are associated with underlying pathologies, concomitant immunosuppressive treatment, prior treatment and use of anti-infective prophylaxis. Immune-related adverse events (irAEs) are frequent among patients treated with new targeted drugs. OBJECTIVES: In this narrative review, we present the current state of knowledge concerning the infectious complications occurring in patients treated with immune checkpoint inhibitors (ICIs), Bruton's tyrosine kinase (BTK) inhibitors, phosphatidylinositol 3-kinase (PI3K) inhibitors, antiapoptotic protein BCL-2 inhibitors, Janus kinase inhibitors or CAR-T cell infusion. SOURCES: We searched for studies treating infectious complications of ICIs, BTK inhibitors, PI3K inhibitors, antiapoptotic protein BCL-2 inhibitors and CAR-T cell therapy. We included randomized, observational studies and case reports. CONTENT: Immune-related adverse events (irAEs) are frequent among patients treated with new targeted drugs. Treatment of irAEs with corticosteroids and other immunosuppressive agents can lead to opportunistic infections. Bruton's tyrosine kinase (BTK) inhibitors are associated with higher rate of infections, including invasive fungal infections. IMPLICATIONS: Infections, particularly fungal ones, are common in patients treated with BTK inhibitors even though most of the complications occurring among patients treated by ICIs or CART-cells infusion are associated with the treatment of side effects related to the use of these new treatments. The diagnosis of these infectious complications can be difficult and may require extensive investigations.