Background: Bloodstream infection (BSI) surveillance is essential to characterize the public health threat of bacteremia. We summarize BSI epidemiology in rural Thailand over an eight year period.
Methods: Population-based surveillance captured clinically indicated blood cultures and associated antimicrobial susceptibility results performed in all 20 hospitals in Nakhon Phanom (NP) and Sa Kaeo (SK) provinces. BSIs were classified as community-onset (CO) when positive cultures were obtained ≤2 days after hospital admission and hospital-onset (HO) thereafter. Hospitalization denominator data were available for incidence estimates for 2009-2014.
Results: From 2007 to 2014 a total of 11,166 BSIs were identified from 134,441 blood cultures. Annual CO BSI incidence ranged between 89.2 and 123.5 cases per 100,000 persons in SK and NP until 2011. Afterwards, CO incidence remained stable in SK and increased in NP, reaching 155.7 in 2013. Increases in CO BSI incidence over time were limited to persons aged ≥50 years. Ten pathogens, in rank order, accounted for > 65% of CO BSIs in both provinces, all age-groups, and all years: Escherichia coli, Klebsiella pneumoniae, Burkholderia pseudomallei, Staphylococcus aureus, Salmonella non-typhi spp., Streptococcus pneumoniae, Acinetobacter spp., Streptococcus agalactiae, Streptococcus pyogenes, Pseudomonas aeruginosa. HO BSI incidence increased in NP from 0.58 cases per 1000 hospitalizations in 2009 to 0.91 in 2014, but were higher (ranging from 1.9 to 2.3) in SK throughout the study period. Extended-spectrum beta-lactamase production among E. coli isolates and multi-drug resistance among Acinetobacter spp. isolates was common (> 25% of isolates), especially among HO cases (> 50% of isolates), and became more common over time, while methicillin-resistance among S. aureus isolates (10%) showed no clear trend. Carbapenem-resistant Enterobacteriaceae were documented in 2011-2014.
Conclusions: Population-based surveillance documented CO BSI incidence estimates higher than previously reported from Thailand and the region, with temporal increases seen in older populations. The most commonly observed pathogens including resistance profiles were similar to leading pathogens and resistance profiles worldwide, thus; prevention strategies with demonstrated success elsewhere may prove effective in Thailand.
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http://dx.doi.org/10.1186/s12889-019-6775-4 | DOI Listing |
J Clin Med
January 2025
Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.
: Bacterial superinfections are common complications during viral infections, but the impact of multidrug-resistant (MDR) pathogens in critically ill patients affected by coronavirus disease 2019 (COVID-19) is still debated. : This is an observational, monocentric, and prospective study designed to investigate the incidence, risk factors, and outcomes of MDR bacterial superinfections in COVID-19 patients admitted to the intensive care unit (ICU). : A high incidence of superinfections (66%, 159/241) was observed: ventilator-associated pneumonia (VAP) (65%, 104/159) and bloodstream infection (BSI, 32%, 51/159) were the most common.
View Article and Find Full Text PDFMicroorganisms
January 2025
UK Health Security Agency, London E14 4PU, UK.
Background: Patients in critical care units (CCUs) are at an increased risk of bloodstream infections (BSIs), which can be associated with central vascular catheters (CVCs). This study describes BSIs, CVC-BSIs, organism distribution, percentage of antimicrobial resistant (AMR) organisms, and case fatality rates (CFRs) over the first six years of a voluntary national CCU surveillance programme in England.
Methods: Surveillance data on BSIs, CVCs, and bed-days between 04/2017 and 03/2023 for adult CCUs were linked to mortality and AMR data, and crude rates were calculated.
Antibiotics (Basel)
December 2024
Department of Infectious Diseases, Hospital Clinic of Barcelona-IDIBAPS, 08036 Barcelona, Spain.
The rise of multidrug-resistant (MDR) infections demands personalized antibiotic strategies for febrile neutropenia (FN) in hematological malignancies. This study investigates machine learning (ML) for identifying patient profiles with increased susceptibility to bloodstream infections (BSI) during FN onset, aiming to tailor treatment approaches. From January 2020 to June 2022, we used the unsupervised ML algorithm KAMILA to analyze data from hospitalized hematological malignancy patients.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Department of Trauma, Hand and Reconstructive Surgery, University Hospital Münster, 48149 Münster, Germany.
(1) Background: The incidence of fragility fractures of the pelvis (FFP) has increased significantly over the past decades. Unilateral non-displaced fractures, defined as FFP II, are the most common type of fracture. When conservative treatment fails, surgical treatment is indicated.
View Article and Find Full Text PDFAm J Sports Med
January 2025
Department of Orthopaedic Surgery, Division of Physical Medicine and Rehabilitation, Stanford University, Stanford, California, USA.
Background: A bone stress injury (BSI) is a common overuse injury in collegiate athletes, particularly cross-country and track and field runners. Limited work describes the seasonality of BSIs or the differences in rates and anatomic locations of BSIs in collegiate runners.
Purpose: To describe seasonally related trends in anatomic locations of BSIs in National Collegiate Athletic Association (NCAA) Division I male and female middle- and long-distance runners.
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