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Mortality in neonates with Gram-negative bloodstream infections has remained unacceptably high. Very few data are available on the impact of resistance profiles, virulence factors, appropriateness of empirical treatment and clinical characteristics on patients' mortality. A survival analysis to investigate 28-day mortality probability and predictors was performed including (I) infants <90 days (II) with an available Enterobacterales blood isolate with (III) clinical, treatment and 28-day outcome data. Eighty-seven patients were included. Overall, 299 virulence genes were identified among all the pathogens. had significantly more virulence genes identified compared with other species. A strong positive correlation between the number of resistance and virulence genes carried by each isolate was found. The cumulative probability of death obtained by the Kaplan-Meier survival analysis was 19.5%. In the descriptive analysis, early age at onset, gestational age at onset, culture positive for and number of classes of virulence genes carried by each isolate were significantly associated with mortality. By Cox multivariate regression, none of the investigated variables was significant. This pilot study has demonstrated the feasibility of investigating the association between neonatal sepsis mortality and the causative Enterobacterales isolates virulome. This relationship needs further exploration in larger studies, ideally including host immunopathological response, in order to develop a tailor-made therapeutic strategy.
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http://dx.doi.org/10.3390/antibiotics10060706 | DOI Listing |
Ann Intern Med
September 2025
Department of Medicine, Johns Hopkins University School of Medicine, and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.B.S.).
Electronic health record (EHR) data are increasingly used to develop prediction models that guide clinical decision making at the point of care. These include algorithms that use high-frequency data, like in sepsis prediction, as well as simpler equations, such as the Pooled Cohort Equations for cardiovascular outcome prediction. Although EHR data used in prediction models are often highly granular and more current than other data, there is systematic and nonsystematic missingness in EHR data as there is with most data.
View Article and Find Full Text PDFJ Infect Dev Ctries
August 2025
Department of Infectious Diseases and Clinical Microbiology, Etlik City Hospital, Ankara, Turkey.
Introduction: Both aging and malignancy are associated with an increased risk of infections, including bloodstream infections. Despite their clinical significance, research concentrating on the epidemiology, outcomes, and risk factors influencing mortality in older cancer patients is still limited. This study aims to examine the epidemiology of bloodstream infections and factors contributing to mortality among older cancer patients.
View Article and Find Full Text PDFJ Intensive Care Med
September 2025
Medical Intensive Care Unit, 108 Military Central Hospital, Hanoi, Vietnam.
Background: Bedside ultrasound is increasingly utilized to assess muscle mass in critically ill patients, providing a noninvasive and real-time tool for early risk stratification. Muscle wasting is known to be associated with adverse outcomes in septic shock, but its prognostic value using ultrasound in this population remains underexplored. This study aimed to investigate the association between changes in rectus femoris cross-sectional area (CSA), assessed by bedside ultrasound, and 28-day mortality in patients with septic shock.
View Article and Find Full Text PDFLangmuir
September 2025
Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi 110016, India.
The study addresses the critical issue of sepsis diagnosis, a life-threatening condition triggered by the body's immune response to infection that leads to mortality. Current diagnostic methods rely on the time-consuming assessment of multiple biomarkers by a series of tests, leading to delayed treatment. Here, we report a platform for developing a point-of-care (POC) device utilizing electrochemical immunosensors for the dual and rapid detection of sepsis biomarkers: Procalcitonin (PCT), Interleukin-6 (IL-6), and C-reactive protein (CRP) as host markers and lipopolysaccharide (LPS) as a pathogen marker.
View Article and Find Full Text PDFJ Intensive Care Med
September 2025
Independent Researcher, Outcomes Research, Atlanta, GA, USA.
Purpose: Obesity is a risk factor for sepsis complications in older adults. We assessed the impact of metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO) on outcomes in septic shock.
Methods: We conducted a retrospective analysis using the National Inpatient Sample (2016-2020) to identify a cohort of 1,737,075 patients aged 65 years and older who were hospitalized with septic shock, as defined by ICD-10 diagnosis codes.