Precise genome editing underlines the distinct contributions of mutations in ERG11, ERG3, MRR1, and TAC1 genes to antifungal resistance in Candida parapsilosis.

Candida parapsilosis has recently emerged as a major threat due to the worldwide emergence of fluconazole-resistant strains causing clonal outbreaks in hospitals and poses a therapeutic challenge due to the limited antifungal armamentarium. Here, we used precise genome editing using CRISPR-Cas9 to gain further insights into the contribution of mutations in ERG11, ERG3, MRR1, and TAC1 genes and the influence of allelic dosage to antifungal resistance in C. parapsilosis. Seven of the most common amino acid substitutions previously reported in fluconazole-resistant clinical isolates (including Y132F in ERG11) were engineered in two fluconazole-susceptible C. parapsilosis lineages (ATCC 22019 and STZ5). Each mutant was then challenged in vitro against a large array of antifungals, with a focus on azoles. Any possible change in virulence was also assessed in a Galleria mellonella model. We successfully generated a total of 19 different mutants, using CRISPR-Cas9. Except for R398I (ERG11), all remaining amino acid substitutions conferred reduced susceptibility to fluconazole. However, the impact on fluconazole in vitro susceptibility varied greatly according to the engineered mutation, the stronger impact being noted for G583R acting as a gain-of-function mutation in MRR1. Cross-resistance with newer azoles, non-medical azoles, but also non-azole antifungals such as flucytosine, was occasionally noted. Posaconazole and isavuconazole remained the most active in vitro. Except for G583R, no fitness cost was associated with the acquisition of fluconazole resistance. We highlight the distinct contributions of amino acid substitutions in ERG11, ERG3, MRR1, and TAC1 genes to antifungal resistance in C. parapsilosis.

Educational Concerns About the Safety of Cataract Surgery During Residency: The E3CAPS Pedagogic Study.

INTRODUCTION: Cataract surgery is the most common surgical procedure performed in France. While the incidence of intraoperative complications affecting visual prognosis is extremely low, given the large number of patients operated on, the absolute number of patients affected by complications is quite high. Complication rates are significantly higher when ophthalmology residents (ORs) perform the surgery. Although lack of experience remains the main risk factor, sleep deprivation may adversely affect ORs' successful surgery rate. The value of the EyeSi® surgical simulator in initial training has been demonstrated to increase cataract surgery safety through the transfer of surgical skills from the simulator to the operating room. However, there is no consensus regarding how much training is needed before the first-time ORs are allowed to operate. There is also no scientific evidence that sleep deprivation is associated with a decrease in surgical performance. Establishing a validated protocol for cataract surgery training using the EyeSi surgical simulator (referred to further as the EyeSi) and identifying risk factors for intraoperative complications related to sleep deprivation will improve cataract surgery safety and lead to the reorganization of our healthcare systems. METHODS AND PLANNED OUTCOMES: This multi-centre educational cohort study will include two distinct axes which will both aim to reduce the risks of cataract surgery. Enrollment will include 16 first-year ORs for Axis 1 and 25 experienced residents for Axis 2, all from the University Hospitals of Nantes, Tours, Angers and Rennes. Axis 1 will focus on investigating the learning curve of first-year ORs using the EyeSi, following the training program recommended by the "College des Ophtalmologistes Universitaires de France" in order to set up a future "licence to operate." Axis 2 will evaluate the impact of sleep deprivation on the surgical performance of experienced ORs using the EyeSi. TRIAL REGISTRATION: ClinicalTrial.gov identifier: NCT05722080.

Prevalence of Antimicrobial Resistance and Infectious Diseases in a Hospitalised Migrant Population in Paris, France, a Retrospective Study.

Objectives: The aim of this study was to estimate the prevalence of anti-microbial resistance (AMR) carriage and its risk factors in hospitalized migrants. Additionally, the prevalence of infectious diseases was evaluated, as well as symptoms of psychological trauma. Methods: We conducted a retrospective monocentric cross-sectional study including all migrant patients recently arrived and hospitalised over a one-year period. Results: Among 101 patients, seventy-nine percent originated from Sub-Saharan Africa. The overall AMR carriage rate was 20.7% [95% CI: 12.4; 28.9%]. We isolated 5/92 methicillin-resistant Staphylococcus aureus strains (5.4%) and 15/92 extended-spectrum beta-lactamase-producing Enterobacteriaceae (16.4%). AMR carriage was associated with older age, region of origin and length of migration. Rates of HIV, HBV, and HCV infection were 39.6%, 32.7%, and 5%, reflecting sampling bias linked to reasons for hospitalization. Eleven percent had serological evidence of treponemasis and 7.8% had Chlamydia trachomatis infection. Symptoms of depression or post-traumatic stress disorder were observed for more than half the patients. Conclusion: It appears essential to offer a systematic and comprehensive post-arrival screening of AMR carriage, infectious diseases and psychological trauma to subjects who experienced migration.

Implementing opt-out hepatitis C virus (HCV) screening in Canadian provincial prisons: A model-based cost-effectiveness analysis.

BACKGROUND: Implementing opt-out hepatitis C virus (HCV) screening across Canadian provincial prisons is crucial to achieving micro-elimination. Given short incarceration lengths, the most cost-effective screening strategy remains unknown. We compared the cost-effectiveness of current standard of care (venipuncture-based HCV-antibody+HCV RNA) and 13 alternative strategies in Quebec's largest provincial prison. METHODS: A prison cohort was simulated with a Markov micro-simulation model. Strategies differed in the biomarkers, sampling methods, and number of tests used. The model considered incarceration lengths, time to linkage to care (LTC), nursing costs, and tests' costs, performances, acceptability and turnaround times. Outcomes included costs (Canadian dollars, CAD$), number of true positives linked to care, and incremental cost-effectiveness ratios (ICERs, additional $/additional TP-L). A one-year time horizon and health-payer perspective were adopted. RESULTS: Across all analyses, three strategies consistently provided the best value for money: venipuncture-based HCV-antibody+HCV-core antigen, venipuncture-based HCV-core antigen (base-case ICER=~ $720), and point-of-care HCV-antibody+HCV RNA (base-case ICER=$4,310). However, these strategies linked only 23%-29% viremic individuals to care. Main drivers of cost-effectiveness were the seroprevalence, proportion viremic, and time to LTC. CONCLUSION: Alternative strategies would be more cost-effective than standard of care for implementing opt-out screening in provincial prisons. However, interventions to maximize LTC should be explored.

Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa.

BACKGROUND: Whereas 72% of hepatitis C virus (HCV)-infected people worldwide live in low- and middle-income countries (LMICs), only 6% of them have been diagnosed. Innovative technologies for HCV diagnosis provide opportunities for developing testing strategies more adapted to resource-constrained settings. However, studies about their economic feasibility in LMICs are lacking. METHODS: Adopting a health sector perspective in Cameroon, Cote-d'Ivoire, and Senegal, a decision tree model was developed to compare 12 testing strategies with the following characteristics: a one-step or two-step testing sequence, HCV-RNA or HCV core antigen as confirmative biomarker, laboratory or point-of-care (POC) tests, and venous blood samples or dried blood spots (DBS). Outcomes measures were the number of true positives (TPs), cost per screened individual, incremental cost-effectiveness ratios, and nationwide budget. Corresponding time horizon was immediate, and outcomes were accordingly not discounted. Detailed sensitivity analyses were conducted. FINDINGS: In the base-case, a two-step POC-based strategy including anti-HCV antibody (HCV-Ab) and HCV-RNA testing had the lowest cost, €8.18 per screened individual. Assuming a lost-to-follow-up rate after screening > 1.9%, a DBS-based laboratory HCV-RNA after HCV-Ab POC testing was the single un-dominated strategy, requiring an additional cost of €3653.56 per additional TP detected. Both strategies would require 8-25% of the annual public health expenditure of the study countries for diagnosing 30% of HCV-infected individuals. Assuming a seroprevalence > 46.9% or a cost of POC HCV-RNA < €7.32, a one-step strategy based on POC HCV-RNA dominated the two-step POC-based strategy but resulted in many more false-positive cases. CONCLUSIONS: POC HCV-Ab followed by either POC- or DBS-based HCV-RNA testing would be the most cost-effective strategies in the study countries. Without a substantial increase in funding for health or a dramatic decrease in assay prices, HCV testing would constitute an economic barrier to the implementation of HCV elimination programs in LMICs.

Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in people who use injecting drugs in Senegal.

BACKGROUND: Scaling-up the access to hepatitis C virus (HCV) diagnostics for people who use injecting drugs (PWID) is essential to reduce the HCV incidence in low and middle-income countries. METHODS: A decision tree model was developed to compare the cost-effectiveness of 12 strategies for diagnosing HCV in Senegal with a health sector perspective. Strategies included HCV-Ab screening and confirmation of viraemia (based on HCV-RNA or HCV core antigen detection) or only the latter step. Laboratory assays and decentralized tools (point-of-care (POC) tests and dried blood spot (DBS) samples) were included. The base-case assumed a 38.9% seroprevalence, as reported in the PWID population of Dakar. RESULTS: Compared to the cheapest strategy (POC HCV-Ab followed by POC HCV-RNA (S5)), one strategy remained un-dominated in the base-case: POC HCV-Ab followed by venepuncture-based laboratory HCV-RNA (S3). Above a lost to follow-up testing rate of 2.3%, combining POC HCV-Ab with HCV-RNA on DBS (S4) became more cost-effective than S3. Above this threshold, a single-step POC HCV-RNA (S12) was also found un-dominated (ICER to S5=€3,297.50). S5, S12 and S4 cost €14.21, €17.03 and €36.55/screened individual. Incremental cost-effectiveness ratios (€/additional true positive case) were 2,164.82 (S12 versus S5) and 3,297.50 (S4 versus S12). Whenever HCV seroprevalence reached 55.5%, S12 became more cost-effective than S5. Moreover, S4 required a budget 2 to 2.5 times higher than S5 or S12 for diagnosing 90% of HCV-infected PWID in Dakar. CONCLUSION: A two-step POC-based strategy (S5) would be the most cost-effective option among those proposed in this study for diagnosing HCV in PWID in Senegal. This study illustrates how the lack of secure financing and of data on PWID in LMICs, render difficult to identify the most sustainable strategy in those countries, as well as its implementation.

Research gaps in viral hepatitis.

INTRODUCTION: The World Health Organization has aimed for global elimination of both hepatitis B virus (HBV) and hepatitis C virus (HCV) by 2030. Treatments available to cure HCV and control HBV, as well as vaccination to prevent HBV infection, have certainly allowed for such bold goals, yet the final steps to usher in elimination require further evidence. DISCUSSION: We broadly discuss the needs for three major public health approaches. First, an effective vaccine exists for HBV and mass-vaccination campaigns have resulted in decreases in hepatitis B surface antigen seroprevalence and overall rates of liver-related morality. Still, HBV vaccination coverage is poor in certain regions of the world, while the reasons for such low coverage require further study. A prophylactic vaccine is probably needed to eliminate HCV, but is not being readily developed. Second, identifying HBV/HCV infected individuals remains a priority to increase awareness of disease status, particularly for key populations. Research evaluating large-scale implementation of novel, rapid and mobile point-of-care tests would be helpful to determine whether increased awareness is achievable in these settings. Third, antiviral therapy allows for strong HBV suppression and HCV cure, while its access depends on financial factors among many others. Although there is strong evidence to treat key populations and specific groups with progressed disease, as stated in current guidelines, the advantages of extending treatment eligibility to decrease onward spread of HBV/HCV infection and prevent further burden of disease are lacking "real world" evidence. Novel anti-HBV treatments are being developed to target intrahepatocellular HBV replication, but are still in the early phases of clinical development. Each of the strategies mentioned above has specific implications for HIV infection. CONCLUSIONS: There are certainly effective tools to combat the spread of viral hepatitis and treat infected individuals - yet how they are able to reach key populations, and the infrastructure required to do so, continue to represent the largest research gap when evaluating the progress towards elimination. Continuously adapted and informed research is required to establish the priorities in achieving elimination goals.

HCV Ag quantification as a one-step procedure in diagnosing chronic hepatitis C infection in Cameroon: the ANRS 12336 study.

INTRODUCTION: The diagnostic procedure for chronic hepatitis C infection (CHC) usually combines anti-HCV antibody (HCV-Ab) and HCV-RNA measurement. Quantifying HCV core antigen (cAg) as a one-step procedure could shorten the diagnostic process. We aimed to assess the performance of cAg quantification in diagnosing CHC and how it is influenced by concomitant HIV or HBV infections. METHODS: The cAg was quantified by an automated assay (Abbott Diagnostics) in 465 HCV-Ab negative serum samples and 544 HCV-RNA positive serum samples (n = 1009) collected in patients from the Pasteur Center in Cameroon, some of whom were infected by HBV or HIV. Its performance was evaluated in comparison to the gold standard (ELISA or PCR) by estimating its sensitivity (Se) and specificity (Sp), and by comparing the area under ROC (AUROC) curves in each patient population: HCV mono-infected, HCV-HBV and HIV-HCV co-infected. RESULTS: Among the 465 HCV-Ab negative patients, 51 and 79 were HIV- and HBV-infected, respectively, whereas among the 544 patients with CHC, 27 and 28 were HIV- and HBV-infected, respectively. The Spearman ρ correlation coefficient between cAg and HCV-RNA was 0.75 (p < 0.00001). The assay had a sensitivity of 95.7% (95% CI: 93.2-97.5) and a specificity of 99.7% (95% CI: 98.1-10) in diagnosing CHC, corresponding to an AUROC of 0.99 (95% CI: 0.98-1.0). Being HIV- or HBV-infected did not impact the performance of cAg (Se = 96.4%, Sp = 96.2% and AUROC = 0.98 (95% CI: 0.95-1.0) in the HBV group, Se = 100%, Sp = 88.2% and AUROC = 0.99 (95% CI: 0.97-1.0) in the HIV group, p between AUROC = 0.69). CONCLUSIONS: The cAg quantification displayed a high specificity and sensitivity for the diagnosis of CHC in Cameroon, and its performance was not significantly modified by a concomitant HIV or HBV infection. In the context of CHC elimination on a global scale, using cAg quantification as a screening tool to directly identify CHC could be a reliable tool in a "test and treat" strategy.