Citations

Abstract We report an eightfold increase in sulbactam-durlobactam MICs in a carbapenem-resistant Acinetobacter baumannii cerebrospinal fluid isolate recovered after 14 days of sulbactam-durlobactam plus meropenem therapy. Treatment-emergent mutations in the AdeFGH efflux system were identified, accompanied by a 166-fold increase in adeG expression. Efflux pump inhibition restored sulbactam-durlobactam susceptibility.

ABSTRACT Candida auris is an emerging pathogen known for causing invasive, multidrug-resistant infections and healthcare-associated outbreaks. Measuring the relatedness of C. auris strains is critical for detecting and preventing healthcare-associated transmission. Whole genome sequencing (WGS) and analysis of single-nucleotide polymorphisms (SNPs) offer high-resolution assessments of genetic relatedness and antifungal susceptibility; however, interpretation requires an understanding of inter- and intra-patient C. auris diversity and genotypic markers of resistance, respectively. This study aimed to define SNP thresholds for assessing C. auris relatedness in healthcare-associated outbreak investigations, predict antifungal resistance via genotypic markers, and evaluate patient risk factors to inform future surveillance strategies. WGS was performed on 68 C. auris isolates (clades I and III) obtained from 31 hospitalized patients across a healthcare system between 2021 and 2024. Using MycoSNP analysis, we observed a maximum intra-patient variation of 14 SNPs. Five probable transmission clusters were identified based on epidemiologic links, with patient isolates differing by a median of 5 SNPs (range: 0−12). Analysis with a commercial pipeline (refMLST, BugSeq) showed similar clustering patterns. All new detections occurring more than 1 month after admission were linked to a cluster, representing a highly specific indicator of healthcare-associated infection. WGS detected known genotypic markers for fluconazole (ERG11 Y132F, F126L, and MRR1 N647T) and micafungin (FKS1 F635C) resistance, with the latter emerging during antimicrobial therapy. In addition, putative FUR1 mutations (G207R and Q16::STOP) associated with flucytosine resistance were identified. These findings emphasize the utility of WGS for identifying healthcare-associated clusters of C. auris and predicting antifungal resistance. IMPORTANCE Candida auris is a difficult-to-treat yeast that causes invasive infections in vulnerable patient populations. Healthcare exposure is a key risk factor for becoming colonized or infected with C. auris , and infection prevention groups focus on curbing the spread of this organism within the healthcare environment. Whole genome sequencing approaches are key for supporting these efforts, as they can help define clusters of C. auris transmission and can also provide insight into antifungal resistance. Our work provides practical guidance for interpreting genomic data in this setting, helping infection prevention teams respond more effectively to outbreaks and expanding the use of genotypic predictions for antifungal resistance.

Background A classification system describing clinical presentation before aortic valve replacement (AVR) has recently been proposed (stable valve syndrome [SVS]), mildly symptomatic (progressive valve syndrome), or with acute and severe signs and symptoms (acute valve syndrome [AVS]). We aimed to evaluate the clinical impact, health care costs, and resource use associated with the mode of clinical presentation at the time of AVR among patients presenting with aortic stenosis. Methods Using the Market Clarity database (2017–2023), patients >18 years old with aortic stenosis and undergoing AVR (transcatheter or surgical) were included. Patients were categorized as SVS, progressive valve syndrome, or AVS based on their clinical presentation during the 1 year before AVR. All‐cause death, heart failure hospitalization, total health care costs (index hospitalization plus 1‐year follow‐up), and resource use were compared across clinical presentation groups using adjusted regression models. Results Of the 24 075 patients undergoing AVR for aortic stenosis, 270 (1.1%) had SVS, 10 195 (42.3%) progressive valve syndrome, and 13 610 (56.5%) AVS. Compared with SVS, AVS presentation was associated with increased risk of 1‐year death (adjusted hazard ratio [aHR], 2.93 [95% CI, 1.1–7.8]; P =0.03) and heart failure hospitalization (aHR, 4.15 [95% CI, 1.6–11.1]; P <0.01) after AVR. The total costs of AVR and 1‐year follow‐up were significantly higher in both the progressive valve syndrome (difference $27 410 [$13 507–$41 314]) and AVS groups (difference $36 267 [$22 302–$50 232]) compared with patients with SVS. Conclusions AVS was frequent among patients undergoing AVR and was associated with increase in death, heart failure hospitalization, health care costs, and resource use 1 year after AVR, and SVS presentation was associated with the best clinical and economic outcomes.

ABSTRACT Antimicrobial resistance mediated by carbapenemases significantly complicates treatment options. A case report by Morelan et al. (ASM Case Reports 1:e00094-25, 2025, https://doi.org/10.1128/asmcr.00094-25 ) illustrates how delayed recognition of Klebsiella pneumoniae carbapenemase (KPC) production in an Escherichia coli urinary tract infection resulted in suboptimal cefepime therapy, despite in vitro susceptibility. This case underscores the urgent need for clinical laboratories to implement on-site carbapenemase testing, as recommended by the Infectious Diseases Society of America and the Clinical and Laboratory Standards Institute (CLSI). Timely detection of KPC, coupled with reporting strategies for cefepime susceptibility results (suppression or editing results as resistant) in carbapenemase producers, may have facilitated earlier administration of a more appropriate antimicrobial and prevented recurrent infections and readmissions. In this commentary, we highlight recent updates to CLSI guidance for carbapenemase testing and antimicrobial susceptibility reporting strategies. Using this case report as an example, we outline the potential impact of these strategies on patient management and outcomes, further emphasizing the role of the clinical microbiology laboratory in antimicrobial stewardship.

Background Many patients with symptomatic severe aortic stenosis do not undergo aortic valve replacement (AVR) despite clinical guidelines. This study analyzed the association of managing provider type with cardiac specialist follow‐up, AVR, and mortality for patients with newly diagnosed severe aortic stenosis (sAS). Methods and Results We identified adults with newly diagnosed sAS per echocardiography performed between January 2017 and March 2019 using Optum electronic health record data. We then selected from those meeting all eligibility criteria patients managed by a primary care provider (n=1707 [25%]) or cardiac specialist (n=5039 [75%]). We evaluated the association of managing provider type with cardiac specialist follow‐up, AVR, and mortality, as well as the independent association of cardiac specialist follow‐up and AVR with mortality, within 1 year of echocardiography detecting sAS. A subgroup analysis was limited to patients with symptomatic sAS. Patient characteristics and comorbidities at baseline were used for covariate‐adjusted cause‐specific and multivariable Cox proportional hazard models assessing group differences in outcomes by managing provider type. An adjusted Cox proportional hazard model with additional time‐dependent covariates for follow‐up and AVR was used to assess these practices' association with mortality. Within 1 year of echocardiography detecting sAS, data revealed that primary care provider management was associated with lower rates of cardiac specialist follow‐up (hazard ratio [HR], 0.47 [95% CI, 0.43–0.50], P <0.0001) and AVR (HR, 0.58 [95% CI, 0.53–0.64], P <0.0001) and with higher 1‐year mortality (HR, 1.45 [95% CI, 1.26–1.66], P <0.0001). Cardiac specialist follow‐up and AVR were independently associated with lower mortality (follow‐up: HR, 0.55 [95% CI, 0.48–0.63], P <0.0001; AVR: HR, 0.70 [95% CI, 0.60–0.83], P <0.0001). Results were similar for patients with symptomatic sAS. All analyses were adjusted for baseline patient characteristics and comorbidities. Conclusions For patients newly diagnosed with sAS, we observed differences in rates of cardiac specialist follow‐up and AVR and risk of mortality between primary care provider‐ versus cardiologist‐managed patients with sAS. In addition, a lower likelihood of receiving follow‐up and AVR was independently associated with higher mortality.

A significant proportion of patients diagnosed with symptomatic severe aortic stenosis (ssAS) do not receive treatment with aortic valve replacement (AVR) despite current ACC/AHA guidelines. Delayed care leads to increased hospitalizations, worsening heart failure and death. Timely referral to a cardiac specialist is a critical step in the treatment pathway. We sought to identify the impact of managing provider type on follow-up care for newly diagnosed patients with severe aortic stenosis (sAS). We analyzed Optum® electronic medical records to identify adults with a new outpatient sAS echo diagnosis in the pre-COVID era (1/2017 - 3/2019). We identified integrated delivery network patients alive 1d post echo excluding those with missing data or AVR within 3d of echo, then selected those managed by a primary care provider (PCP) or a cardiologist (n=5,683). Baseline characteristics were used for covariate-adjusted Cumulative Incidence Function and Fine-Gray subdistribution hazard models. We estimated the impact of managing provider type on the specialist follow-up visit rate (cardiologist, interventional cardiologist and/or cardiothoracic surgeon) for all sAS patients and of surgical or transcatheter AVR for ssAS patients within 1 year of diagnosis. Within 90d of sAS diagnosis, 47% of PCP- vs. 73% of cardiologist-managed patients had a follow-up visit (1-year rates: PCP, 69% vs. cardiologist, 90%; Hazard ratio [HR]=0.54, 95% confidence interval [CI]: 0.49-0.59, p<0.0001). Within 1 year of diagnosis, 36% of PCP- vs. 51% of cardiologist-managed ssAS patients underwent AVR (HR=0.72, CI: 0.63-0.82, p<0.0001) (Figure). Analysis suggests lower referral rates for PCP- than cardiologist-managed patients. In ssAS, 1-year AVR rates were low, particularly for PCPs. These data underscore the importance of timely follow up of all severe AS patients for symptom assessment and appropriate treatment, presenting an opportunity for initiatives to drive behavior change.

Abstract Background Understanding the relationship between clinical and patient-reported outcomes (PROs) will help support clinical care and future clinical trial design of novel therapies for focal segmental glomerulosclerosis (FSGS). Methods FSGS patients ≥8 years of age enrolled in the Nephrotic Syndrome Study Network completed Patient-Reported Outcomes Measurement Information System PRO measures of health-related quality of life (HRQoL) (children: global health, mobility, fatigue, pain interference, depression, anxiety, stress and peer relationships; adults: physical functioning, fatigue, pain interference, sleep impairment, mental health, depression, anxiety and social satisfaction) at baseline and during longitudinal follow-up for a maximum of 5 years. Linear mixed-effects models were used to determine which demographic, clinical and laboratory features were associated with PROs for each of the eight children and eight adults studied. Results There were 45 children and 114 adult FSGS patients enrolled that had at least one PRO assessment and 519 patient visits. Multivariable analyses among children found that edema was associated with global health (−7.6 points, P = 0.02) and mobility (−4.2, P = 0.02), the number of reported symptoms was associated with worse depression (−2.7 per symptom, P = 0.009) and anxiety (−2.3, P = 0.02) and the number of emergency room (ER) visits in the prior 6 months was associated with worse mobility (−2.8 per visit, P &lt; 0.001) and fatigue (−2.4, P = 0.03). Multivariable analyses among adults found the number of reported symptoms was associated with worse function in all eight PROMIS measures and the number of ER visits was associated with worse fatigue, pain interference, sleep impairment, depression, anxiety and social satisfaction. Laboratory markers of disease severity (i.e. proteinuria, estimated glomerular filtration rate and serum albumin) did not predict PRO in multivariable analyses, with the single exception of complete remission and better pain interference scores among children (+9.3, P = 0.03). Conclusions PROs provide important information about HRQoL for persons with FSGS that is not captured solely by the examination of laboratory-based markers of disease. However, it is critical that instruments capture the patient experience and FSGS clinical trials may benefit from a disease-specific instrument more sensitive to within-patient changes.