Genetic barriers more than environmental associations explain Serratia marcescens population structure.

Bacterial species often comprise well-separated lineages, likely emerged and maintained by genetic isolation and/or ecological divergence. How these two evolutionary actors interact in the shaping of bacterial population structure is currently not fully understood. In this study, we investigate the genetic and ecological drivers underlying the evolution of Serratia marcescens, an opportunistic pathogen with high genomic flexibility and able to colonise diverse environments. Comparative genomic analyses reveal a population structure composed of five deeply-demarcated genetic clusters with open pan-genome but limited inter-cluster gene flow, partially explained by Restriction-Modification (R-M) systems incompatibility. Furthermore, a large-scale research on hundred-thousands metagenomic datasets reveals only a partial habitat separation of the clusters. Globally, two clusters only show a separate gene composition coherent with ecological adaptations. These results suggest that genetic isolation has preceded ecological adaptations in the shaping of the species diversity, an evolutionary scenario coherent with the Evolutionary Extended Synthesis.

Impact of Whole Genome Sequencing to investigate transmission of Serratia marcescens in Neonatal Intensive Care Unit.

Newborns admitted to neonatal intensive care units (NICU) are at increased risk of health care-associated infections. Serratia marcescens represent the third most common pathogen in NICU outbreaks. Here we present an outbreak investigation performed using Whole Genome Sequencing (WGS) analyses and the control measures implemented to limit the spread of S. marcescens in the NICU of an Italian hospital. In February 2023 S. marcescens was isolated from six newborns, when in 2022 this pathogen was isolated only from two samples in the same ward. Measures for infection prevention were adopted. Routinary surveillance screening, performed with rectal swabs collected at admission and weekly thereafter, was implemented to search for S. marcescens presence. Environmental samples were collected. All the isolates, obtained from the conjunctival swab of six newborns, from rectal swab of two newborns who did not develop infections, as well as from the aerators of two faucets, were sequenced. WGS analyses showed no correlation between the isolates from newborns and environmental isolates. The implementation of the measures for infection prevention and control had enabled us to successfully control the outbreak within a short period. WGS analyses proved to be crucial in outbreak investigation to limit the spreading of the pathogens.

Cultivation and sequencing-free protocol for Serratia marcescens detection and typing.

Serratia marcescens is an opportunistic pathogen that survives in inhospitable environments causing large outbreaks, particularly in neonatal intensive care units (NICUs). Genomic studies revealed that most S. marcescens nosocomial infections are caused by a specific clone (here "Infectious clone"). Whole genome sequencing (WGS) is the only portable method able to identify this clone, but it requires days to obtain results. We present a cultivation-free hypervariable-locus melting typing (HLMT) protocol for the fast detection and typing of S. marcescens, with 100% detection capability on mixed samples and a limit of detection that can reach the 10 genome copies. The protocol was able to identify the S. marcescens infectious clone with 97% specificity and 96% sensitivity when compared to WGS, yielding typing results portable among laboratories. The protocol is a cost and time saving method for S. marcescens detection and typing for large environmental/clinical surveillance screenings, also in low-middle income countries.

Optimising machine learning prediction of minimum inhibitory concentrations in Klebsiella pneumoniae.

Minimum Inhibitory Concentrations (MICs) are the gold standard for quantitatively measuring antibiotic resistance. However, lab-based MIC determination can be time-consuming and suffers from low reproducibility, and interpretation as sensitive or resistant relies on guidelines which change over time. Genome sequencing and machine learning promise to allow in silico MIC prediction as an alternative approach which overcomes some of these difficulties, albeit the interpretation of MIC is still needed. Nevertheless, precisely how we should handle MIC data when dealing with predictive models remains unclear, since they are measured semi-quantitatively, with varying resolution, and are typically also left- and right-censored within varying ranges. We therefore investigated genome-based prediction of MICs in the pathogen Klebsiella pneumoniae using 4367 genomes with both simulated semi-quantitative traits and real MICs. As we were focused on clinical interpretation, we used interpretable rather than black-box machine learning models, namely, Elastic Net, Random Forests, and linear mixed models. Simulated traits were generated accounting for oligogenic, polygenic, and homoplastic genetic effects with different levels of heritability. Then we assessed how model prediction accuracy was affected when MICs were framed as regression and classification. Our results showed that treating the MICs differently depending on the number of concentration levels of antibiotic available was the most promising learning strategy. Specifically, to optimise both prediction accuracy and inference of the correct causal variants, we recommend considering the MICs as continuous and framing the learning problem as a regression when the number of observed antibiotic concentration levels is large, whereas with a smaller number of concentration levels they should be treated as a categorical variable and the learning problem should be framed as a classification. Our findings also underline how predictive models can be improved when prior biological knowledge is taken into account, due to the varying genetic architecture of each antibiotic resistance trait. Finally, we emphasise that incrementing the population database is pivotal for the future clinical implementation of these models to support routine machine-learning based diagnostics.

Clinical isolates of ST131 blaOXA-244-positive Escherichia coli, Italy, December 2022 to July 2023.

The dissemination of carbapenemase-producing Escherichia coli, although still at low level, should be continuously monitored. OXA-244 is emerging in Europe, mainly in E. coli. In Italy, this carbapenemase was reported from an environmental river sample in 2019. We report clinical isolates of OXA-244-producing ST131 E. coli in four patients admitted to an acute care hospital in Pavia, Italy. The association of this difficult-to-detect determinant with a globally circulating high-risk clone, ST131 E. coli, is of clinical relevance.

Phenotypic and Genotypic Assays to Evaluate Coagulase-Negative Staphylococci Biofilm Production in Bloodstream Infections.

Coagulase-negative staphylococci (CoNS) are commensal on human body surfaces and, for years, they were not considered a cause of bloodstream infection and were often regarded as contamination. However, the involvement of CoNS in nosocomial infection is increasingly being recognized. The insertion of cannulas and intravascular catheters represents the primary source of CoNS entry into the bloodstream, causing bacteremia and sepsis. They owe their pathogenic role to their ability to produce biofilms on surfaces, such as medical devices. In this study, we evaluate the adhesive capacity of CoNS isolated from blood cultures by comparing a spectrophotometric phenotypic assay with genotypic analysis based on the evidence of the ica operon. We retrospectively reviewed the database of CoNS isolated from blood cultures from January to December 2021 that were considered responsible for 361 bloodstream infections. Eighty-nine CoNS were selected among these. Our data show that Staphylococcus epidermidis was the predominant species isolated, expressing greater adhesive capacities, especially those with the complete operon. Knowledge of the adhesive capabilities of a microorganism responsible for sepsis can be useful in implementing appropriate corrective and preventive measures, since conventional antibiotic therapy cannot effectively eradicate biofilms.

Concomitant Resistance to Cefiderocol and Ceftazidime/Avibactam in Two Carbapenemase-Producing Klebsiella pneumoniae Isolates from Two Lung Transplant Patients.

In this study, we present two cases of Klebsiella pneumoniae, one KPC-33- and one NDM-1-producing, showing resistance to cefiderocol and ceftazidime/avibactam, collected in the intensive care unit of a hospital in Northern Italy from two patients who had recently undergone lung transplantation. Whole-genome sequencing was performed to investigate the molecular features of these strains.

Rapid spread of a novel NDM-producing clone of Klebsiella pneumoniae CC147, Northern Italy, February to August 2023.

New Delhi metallo-beta-lactamase (NDM)-producing Klebsiella pneumoniae (Kp) ST147 caused a large multi-hospital outbreak in Italy from 2018 to 2021. We describe a new ST6668 NDM-producing Kp clone, belonging to CC147, which rapidly spread across hospitals in the Pavia province (Northern Italy) from February to August 2023. Genomic analyses revealed that ST6668 is different from ST147 and fast evolving. As shown here, genomic surveillance programmes are useful for tracking the spread of new clones with reduced susceptibility to most antibiotics.

Population structure and antimicrobial resistance among Klebsiella isolates sampled from human, animal, and environmental sources in Ghana: a cross-sectional genomic One Health study.

BACKGROUND: One Health approaches to address the increasing threat of antimicrobial resistance (AMR) are gaining attention. However, data on the distribution and movement of bacteria and their AMR-associated genes between clinical and non-clinical sources are scarce, especially from low-income and middle-income countries. We aimed to analyse Klebsiella isolates from various sources in Ghana and compare the prevalence of AMR with datasets from two other countries. METHODS: We conducted a cross-sectional genomic One Health study. Multiple clinical, environmental, and animal sources were sampled from 78 locations (eg, hospitals, residential areas, and farms) in and around Tamale, Ghana. Clinical samples were collected through routine screening and in cases of suspected infection between March 15 and Sept 15, 2019, and samples from the wider environment were collected during a dedicated sampling effort between the dates of Aug 19, 2018, and Sept 26, 2019. Sampling locations were approximately evenly distributed from the centre of the city and steadily outwards to capture both rural and urban locations. Samples with positive growth for Klebsiella were included. Isolates of Klebsiella were obtained from the samples using Simmons citrate agar medium and characterised by antimicrobial susceptibility testing and whole-genome sequencing. A comparative analysis with Klebsiella population surveys from Pavia, Italy, and Tromsø, Norway, was performed. AMR-associated and virulence genes were detected, and the population distribution of these genes was studied. FINDINGS: Of 957 samples collected around Tamale, Ghana, 620 were positive for Klebsiella spp. 573 Klebsiella isolates were successfully sequenced, of which 370 were Klebsiella pneumoniae. Only two hospital isolates were carbapenem-resistant. Extended-spectrum ß-lactamase (ESBL) genes were relatively common among the Ghanaian clinical isolates but rare in the environmental samples. Prevalence of ESBL genes in human-hospital disease samples was 64% (14 of 22 isolates) in Ghana and 44% (four of nine isolates) in Italy, and prevalence in human-hospital carriage samples was 7% (eight of 107) in Ghana and 13% (54 of 428) in Italy; the prevalence was higher in human-hospital disease samples than in human-hospital carriage samples in both countries, and prevalence across both samples in both countries was higher than in Norway. Ghanaian isolates showed evidence of high recombination rates (recombination events compared with point mutations [r/m] 9·455) and a considerable accessory gene overlap with isolates from Italy and Norway. INTERPRETATION: Although several AMR-associated gene classes were observed relatively frequently in non-clinical sources, ESBL, carbapenemase, and virulence genes were predominantly present only in hospital samples. These results suggest that interventions should be focused on clinical settings to have the greatest effect on the prevalence and dissemination of AMR-associated genes. FUNDING: European Research Council (742158), Academy of Finland EuroHPC grant, Trond Mohn Foundation (BATTALION grant), and Wellcome Trust.

Outbreak of Candida parapsilosis fungemia in an intensive care unit during a COVID surge: an epidemic within a pandemic.

We sought to investigate epidemiology, risk factors, clinical features, and outcome of the C. parapsilosis blood stream infection (BSI) outbreaks observed during the first surges of COVID-19 pandemic in our population. Retrospective, monocentric observational study in the 24 bed intensive care unit (ICU) of a tertiary care medical center in northern Italy, from 2019 to 2021 first 5 months. 2030 patients were enrolled, of whom 239 were COVID-19 positive. The total incidence of Candida-BSI was 41.9 per 1000 admissions, with two outbreaks during 2020 spring and winter's COVID surges. The total numbers of C. parapsilosis BSI cases are 94, of which 21 during the first outbreak and 20 during the second. In our population, COVID-19 was strongly associated with C. parapsilosis BSI (OR 4.71, p < 0.001), as well as continuous renal replacement therapy (CRRT) (OR 3.44, p = 0.001), prolonged antibiotic therapy (OR 3.19, p = 0.004), and delayed infusion sets replacements (OR 2.76, p = 0.015). No statistically significant association was found between Candida-BSI episodes and mortality, when adjusted for other known outcome risk factors. COVID surges undermined the infectious control measures in our ICU, leading to two outbreak of C. parapsilosis BSI. A stricter, thorough management of intravascular devices and infusion set is crucial in prevention of catheter related BSI, and awareness must be kept high, especially in emergencies circumstances, such as the ongoing COVID-19 pandemic.

Gut Microbiota and B Cell Receptor (BCR) Inhibitors for the Treatment of Chronic Lymphocytic Leukemia: Is Biodiversity Correlated with Clinical Response or Immune-Related Adverse Event Occurrence? A Cross-Sectional Study.

Several studies have strengthened the link between the gut microbiota (GM) and the response to immunotherapy in patients with tumors, highlighting the potential role of GM as a biomarker of response. Targeted therapies including B-cell receptor (BCR) inhibitors (BCRi) represent the newest approach to the treatment of chronic lymphocytic leukemia (CLL); however, not all patients achieve a satisfactory response, and immune-related adverse events (irAEs) can also impact the efficacy. The aim of the study was to compare GM biodiversity in patients with CLL, treated with BCRi for at least 12 months. Twelve patients were enrolled: 10 patients in the responder group (R) and 2 patients in the non-responder group (NR). We identified seven patients (58.3%) who experienced adverse reactions (AE). Although we did not observe a significant difference across the study population in terms of relative abundance and alpha and beta diversity, we found a differing distribution of bacterial taxa between the analyzed groups. We noted a higher level of the class Bacteroidia and the order Bacteroidales in the R group, and an inversion in the Firmicutes and Bacteroidetes ratio in the AE group. No prior studies have focused on linking GM and response to BCRi in these patients. Although the analyses are preliminary, they provide suggestions to guide future research.

Reduction of BSI associated mortality after a sepsis project implementation in the ER of a tertiary referral hospital.

The emergency room (ER) is the first gateway for patients with sepsis to inpatient units, and identifying best practices and benchmarks to be applied in this setting might crucially result in better patient's outcomes. In this study, we want to evaluate the results in terms of decreased the in-hospital mortality of patients with sepsis of a Sepsis Project developed in the ER. All patients admitted to the ER of our Hospital from the 1st January, 2016 to the 31stJuly 2019 with suspect of sepsis (MEWS score ≥ of 3) and positive blood culture upon ER admission were included in this retrospective observational study. The study comprises of two periods: Period A: From the 1st Jan 2016 to the 31st Dec 2017, before the implementation of the Sepsis project. Period B: From the 1st Jan 2018 to the 31stJul 2019, after the implementation of the Sepsis project. To analyze the difference in mortality between the two periods, a univariate and multivariate logistic regression was used. The risk of in-hospital mortality was expressed as an odds ratio (OR) and a 95% confidence interval (95% CI). Overall, 722 patients admitted in ER had positive BC on admissions, 408 in period A and 314 in period B. In-hospital mortality was 18.9% in period A and 12.7% in period B (p = 0.03). At multivariable analysis, mortality was still reduced in period B compared to period A (OR 0.64, 95% CI 0.41-0.98; p = 0.045). Having an infection due to GP bacteria or polymicrobial was associated with an increased risk of death, as it was having a neoplasm or diabetes. A marked reduction in in-hospital mortality of patients with documented BSI associated with signs or symptoms of sepsis after the implementation of a sepsis project based on the application of sepsis bundles in the ER.

The COVID-19 Pandemic Sparked Off a Large-Scale Outbreak of Carbapenem-Resistant Acinetobacter baumannii from the Endemic Strains at an Italian Hospital.

Acinetobacter baumannii is a nosocomial pathogen that poses a serious threat due to the rise of incidence of multidrug-resistant (MDR) strains. During the COVID-19 pandemic, MDR A. baumannii clones have caused several outbreaks worldwide. Here, we describe a detailed investigation of an MDR A. baumannii outbreak that occurred at Policlinico San Matteo (Pavia, Italy). A total of 96 A. baumannii strains, isolated between January and July 2020 from 41 inpatients (both SARS-CoV-2 positive and negative) in different wards, were characterized by phenotypic and genomic analyses combining Illumina and Nanopore sequencing. Antibiotic susceptibility testing revealed that all isolates were resistant to carbapenems, and the sequence analysis attributed this to the carbapenemase gene blaOXA-23. Virulence factor screening unveiled that all strains carried determinants for biofilm formation, while plasmid analysis revealed the presence of two plasmids, one of which was ~100 kbp long and encoded a phage sequence. A core genome-based phylogeny was inferred to integrate outbreak strain genomes with background genomes from public databases and the local surveillance program. All strains belonged to the globally disseminated sequence type 2 (ST2) clone and were mainly divided into two clades. Isolates from the outbreak clustered with surveillance isolates from 2019, suggesting that the outbreak was caused by two strains that were already circulating in the hospital before the start of the pandemic. The intensive spread of A. baumannii in the hospital was enhanced by the extreme emergency situation of the first COVID-19 pandemic wave that resulted in reduced attention to infection prevention and control practices. IMPORTANCE The COVID-19 pandemic, especially during the first wave, posed a great challenge to the hospital management and generally promoted nosocomial pathogen dissemination. MDR A. baumannii can easily spread and persist for a long time on surfaces, causing outbreaks in health care settings. Infection prevention and control practices, epidemiological surveillance, and microbiological screening are fundamental in order to control such outbreaks. Here, we sequenced the genomes of 96 isolates from an outbreak of MDR A. baumannii strains using both short- and long-read technology in order to reconstruct the outbreak events in fine detail. The sequence data demonstrated that two endemic clones of MDR A. baumannii were the source of this large hospital outbreak during the first COVID-19 pandemic wave, confirming the effect of COVID-19 emergency disrupting the protection provided by the use of the standard prevention procedures.

Surveillance in a Neonatal Intensive Care Unit Allowed the Isolation of a Strain of VIM-Producing Pantoea brenneri.

Here, we describe the isolation of a strain of the genus Pantoea encoding a VIM carbapenemase, the first to our knowledge. The strain, isolated from a rectal swab of a 10-day-old newborn admitted to a neonatal intensive care unit (NICU), was identified through whole-genome sequencing analyses as Pantoea brenneri. The strain harbored the carbapenemases gene blaVIM-1. The prompt application of contact measures and the isolation of the newborn prevented the dissemination of VIM-producing P. brenneri and of the plasmid carrying the VIM-1 gene to other newborns.

The Bio-Diversity and the Role of Gut Microbiota in Postmenopausal Women with Luminal Breast Cancer Treated with Aromatase Inhibitors: An Observational Cohort Study.

The interactions between aromatase inhibitors (AI) in breast cancer (BC) and gut microbiota (GM) have not been completely established yet. The aim of the study is to evaluate the bio-diversity of GM and the relationship between GM, inflammation and tumor-infiltrating lymphocytes (TILs) in postmenopausal women with BC during adjuvant AI treatment compared to women with disease relapse during or after one year of AI therapy ("endocrine-resistant"). We conducted a monocenter observational case-control study. Eighty-four women with BC (8 cases, 76 controls) were enrolled from 2019 to 2021. We observed a significant difference in the mean microbial abundance between the two groups for the taxonomic rank of order (p 0.035) and family (p 0.029); specifically, the case group showed higher diversity than the control group. Veillonella reached its maximum abundance in cases (p 0.022). Cytokine levels were compared among the groups created considering the TILs levels. We obtained a statistically significant difference (p 0.045) in IL-17 levels among the groups, with patients with low TILs levels showing a higher median value for IL-17 (0.15 vs. 0.08 pg/mL). Further studies about the bio-diversity in women with BC may lead to the development of new biomarkers and targeted interventions.

A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings.

The Klebsiella group, found in humans, livestock, plants, soil, water and wild animals, is genetically and ecologically diverse. Many species are opportunistic pathogens and can harbour diverse classes of antimicrobial resistance genes. Healthcare-associated Klebsiella pneumoniae clones that are non-susceptible to carbapenems can spread rapidly, representing a high public health burden. Here we report an analysis of 3,482 genome sequences representing 15 Klebsiella species sampled over a 17-month period from a wide range of clinical, community, animal and environmental settings in and around the Italian city of Pavia. Northern Italy is a hotspot for hospital-acquired carbapenem non-susceptible Klebsiella and thus a pertinent setting to examine the overlap between isolates in clinical and non-clinical settings. We found no genotypic or phenotypic evidence for non-susceptibility to carbapenems outside the clinical environment. Although we noted occasional transmission between clinical and non-clinical settings, our data point to a limited role of animal and environmental reservoirs in the human acquisition of Klebsiella spp. We also provide a detailed genus-wide view of genomic diversity and population structure, including the identification of new groups.

Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs.

Pathogen typing is pivotal to detecting the emergence of high-risk clones in hospital settings and to limit their spread. Unfortunately, the most commonly used typing methods (i.e., pulsed-field gel electrophoresis [PFGE], multilocus sequence typing [MLST], and whole-genome sequencing [WGS]) are expensive or time-consuming, limiting their application to real-time surveillance. High-resolution melting (HRM) can be applied to perform cost-effective and fast pathogen typing, but developing highly discriminatory protocols is challenging. Here, we present hypervariable-locus melting typing (HLMT), a novel approach to HRM-based typing that enables the development of more effective and portable typing protocols. HLMT types the strains by assigning them to melting types (MTs) on the basis of a reference data set (HLMT-assignment) and/or by clustering them using melting temperatures (HLMT-clustering). We applied the HLMT protocol developed on the capsular gene wzi for Klebsiella pneumoniae on 134 strains collected during surveillance programs in four hospitals. Then, we compared the HLMT results to those obtained using wzi, MLST, WGS, and PFGE typing. HLMT distinguished most of the K. pneumoniae high-risk clones with a sensitivity comparable to that of PFGE and MLST+wzi. It also drew surveillance epidemiological curves comparable to those obtained using MLST+wzi, PFGE, and WGS typing. Furthermore, the results obtained using HLMT-assignment were consistent with those of wzi typing for 95% of the typed strains, with a Jaccard index value of 0.9. HLMT is a fast and scalable approach for pathogen typing, suitable for real-time hospital microbiological surveillance. HLMT is also inexpensive, and thus, it is applicable for infection control programs in low- and middle-income countries. IMPORTANCE In this work, we describe hypervariable-locus melting typing (HLMT), a novel fast approach to pathogen typing using the high-resolution melting (HRM) assay. The method includes a novel approach for gene target selection, primer design, and HRM data analysis. We successfully applied this method to distinguish the high-risk clones of Klebsiella pneumoniae, one of the most important nosocomial pathogens worldwide. We also compared HLMT to typing using WGS, the capsular gene wzi, MLST, and PFGE. Our results show that HLMT is a typing method suitable for real-time epidemiological investigation. The application of HLMT to hospital microbiology surveillance can help to rapidly detect outbreak emergence, improving the effectiveness of infection control strategies.

Ventilator-Associated Pneumonia Due to MRSA vs. MSSA: What Should Guide Empiric Therapy?

The guidelines on ventilator-associated pneumonia (VAP) recommend an empiric therapy against methicillin-resistant Staphylococcus aureus (MRSA) according to its prevalence rate. Considering the MRSA and MSSA VAP prevalence over the last 9 years in our tertiary care hospital, we assessed the clinical value of the MRSA nasal-swab screening in either predicting or ruling out MRSA VAP. We extracted the data of 1461 patients with positive bronchoalveolar lavage (BAL). Regarding the MRSA nasal-swab screening, 170 patients were positive for MRSA or MSSA. Overall, MRSA had a high prevalence in our ICU. Despite the COVID-19 pandemic, there was a significant downward trend in MRSA prevalence, while MSSA remained steady over time. Having VAP due to MRSA did not have any impact on LOS and mortality. Finally, the MRSA nasal-swab testing demonstrated a very high negative predictive value for MRSA VAP. Our results suggested the potential value of a patient-centered approach to improve antibiotic stewardship.

Sars-Cov 2 versus Flu: ECMO-associated bloodstream infections.

SARS-CoV-2 and flu may lead to severe acute respiratory distress syndrome (ARDS) requiring extracorporeal membrane oxygenation (ECMO). The aim of the present study is to compare the incidence of bloodstream infections (BSIs) and outcome in patients with flu and SARS-CoV-2 infection hospitalized in ICU and undergoing ECMO. This study is a retrospective analysis of the San Matteo COVID-19 Registry (SMACORE) cohort. The study was conducted from January 2018 to April 2020. Demographic data and microbiological data were recorded during hospitalization. BSIs occurring during ECMO were analyzed. Eighteen patients treated with ECMO, 22 subjects with SARS-CoV-2 infection and 7 with flu, median age 61years for SARS-CoV-2 and 50 for flu (p=NS). Median ECMO duration was similar in the two pathologies. Median time to bloodstream infection from ECMO initiation was similar. Bloodstream infection incidence rate was 2.65 per 100 patients/days for flu and 2.2 per 100 patients/days for SARS-CoV-2. Global infection rate was 5 per 100 patients/days for SARS-CoV-2 patients and 5.3 per 100 patients/days for flu. Mortality during ECMO was 40.9% (5 out of 22 patients) for SARS-CoV-2 infection while none died among flu patients. ECMO-associated mortality was higher in SARS-CoV-2 infection compared with flu infection.

Isolation of a Colistin-Susceptible MDR Pantoea calida Harboring the mcr-9 Gene Suggests the Silent Spread of the Resistance Factor.

Pantoea spp. are bacteria that are often detected in the environment and as symbionts of arthropods. They sporadically cause infections in humans and recently extended spectrum beta-lactamases (ESBL)- and carbapenemase-producing strains have started to emerge. In this study, we report the isolation and the complete genome sequence of a strain of Pantoea calida encoding the colistin-resistance gene mcr-9. The strain was isolated from a preterm newborn in a neonatal pathology ward. On clinical examination, his vital signs were normal and blood culture was negative. Rectal swab screening for ESBL-producing Enterobacterales allowed to isolate the bacterium, and a complete genome was obtained using both short and long read sequencing. The mcr-9 gene was found to be encoded on a IncHI2 superplasmid, which confers resistance to six classes of antibiotics, including beta lactams (ESBL). Despite the presence of mcr-9, the isolate retains susceptibility to colistin, which could be explained by the absence of compatible regulatory genes (qseBC) from the genome. The presence of the resistance gene is undetectable with the routine clinical procedures, that is, phenotypic tests. This suggests that a silent spread might be ongoing in the ward. To our knowledge, this is the first description of an MDR P. calida and of a Pantoea spp. encoding any mobile colistin resistance gene.