Background: Pediatric hematology, oncology, and hematopoietic cell transplantation (HCT) patients are at increased risk for bloodstream infections. The authors sought to evaluate the influence of a standardized best practice central venous catheter (CVC) maintenance bundle on the burden of and risk factors for mucosal barrier injury (MBI) and non-MBI central line-associated bloodstream infections (CLABSIs) across a common inpatient and ambulatory continuum in this high-risk population.
Methods: A retrospective cohort study of patients with underlying malignancy, hematologic disorders, and HCT recipients with a CVC in place at the time of CLABSI diagnosis in both inpatient and ambulatory settings from January 1, 2012 to December 31, 2016. Descriptive, nonparametric statistics were used to describe patient characteristics and outcomes. Logistic regression analyses were applied to identify potential risk factors for inpatient versus ambulatory and MBI versus non-MBI CLABSI.
Results: During the 5-year period, 118 of 808 (14.6%) patients had 159 laboratory-confirmed CLABSIs for ambulatory and inpatient CLABSI rates of 0.27 CLABSI/1000 and 2.2 CLABSI/1000 CVC days, respectively. CLABSI occurred more frequently in hospitalized patients after HCT and with underlying leukemia, most frequently caused by Gram-negative bacteria. MBI CLABSI accounted for 42% of all CLABSI with a 3-fold higher risk in hospitalized patients. Having multiple CVC or a CVC that was not a port independently associated with higher CLABSI risk.
Conclusions: In our cohort, non-MBI CLABSI continued to account for the majority of CLABSI. CVC type is independently associated with higher overall CLABSI risk. Further studies are needed to reliably define additional prevention strategies when CLABSI maintenance bundles elements are optimized in this high-risk population.
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http://dx.doi.org/10.1097/MPH.0000000000001950 | DOI Listing |
Nurs Open
January 2025
Institute of Health and Wellbeing, Federation University Australia, Churchill, Victoria, Australia.
Aim: The overarching aim of this study was to explore patients' falls risk awareness in hospitals using section A of the validated Self Awareness of Falls Risk Measure (SAFRM).
Design: Descriptive cross-sectional study design.
Setting: Three rural/regional hospitals in the State of Victoria, Australia.
Injury
November 2024
St Andrew's Anglia Ruskin (StAAR) Research Group, St Andrew's Centre for Plastic Surgery & Burns, Broomfield Hospital, Court Road, Chelmsford CM1 7ET, UK. Electronic address:
Background: Infected animal bites and localised infections are traditionally managed by inpatient admission, intravenous antibiotics, and localised washout +/- debridement. Our hand trauma protocol was modified to accommodate the challenges faced in delivering this pathway during the COVID-19 pandemic.
Objective: To evaluate the outcomes of two management pathways, ambulatory (2020) vs inpatient (2019), at a single tertiary referral centre.
J Neurosurg Case Lessons
December 2024
Department of Neurosurgery, University of Mississippi Medical Center, Jackson, Mississippi.
Background: The authors describe the case of a 35-year-old male who presented with back pain and painful masses on his upper extremities. He had a known sacral lesion identified 1 year prior at an outside facility, suspected to be coccidioidomycosis on biopsy, but the workup was not completed because the patient left against medical advice and was lost to follow-up. Computed tomography (CT) and magnetic resonance imaging revealed lytic destructive lesions involving the calvaria, thoracolumbar spine, and sacrum, concerning for an active and disseminated infection.
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany.
Background: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based on longitudinal speech data are helpful in predicting momentary depression severity. Data analyses were based on a dataset including 30 inpatients during an acute depressive episode receiving sleep deprivation therapy in stationary care, an intervention inducing a rapid change in depressive symptoms in a relatively short period of time.
View Article and Find Full Text PDFInt J Cardiol Congenit Heart Dis
December 2024
Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA.
Introduction: Adults with congenital heart disease (CHD) represent a heterogeneous and growing population with high healthcare utilization. We sought to understand the association between insurance type, healthcare use, and outcomes among adults with CHD in Oregon.
Methods: The Oregon All Payers All Claims database from 2010 to 2017 was queried for adults aged 18-65 in 2014 with ICD-9 or 10 codes consistent with CHD; patient demographics, comorbidities, healthcare use, and disease severity were identified.
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