Objectives: Methicillin-resistant Staphylococcus aureus (MRSA) continues to pose a major threat to the lung and cardiovascular surgery patients. We propose evidence-based infection control (EBIC) against MRSA.
Methods: We conducted a basic study comparing genotyping to cluster analysis using minimal inhibition concentration on 17 drugs for 21 MRSA strains. With or without EBIC using cluster analysis and global evidence, we compared the incidence of postoperative MRSA infection. Notably, we eliminated tweezers stands and emesis basins.
Results: Cluster analysis showed a typing sensitivity of 72%. The use of EBIC decreased MRSA cross-infection in the recovery room. A lung surgery series showed an MRSA incidence of 1/190 before and 0/200 after EBIC was introduced. For a cardiovascular surgery series, the MRSA incidence was 2/169 before and 0/84 after EBIC was introduced. Across wards, MRSA among Staphylococcus aureus in patient fell from 68% in 1999 to 57% in 2000.
Conclusions: EBIC consisting of global guidelines and cluster analysis was useful in controlling MRSA in lung and cardiovascular surgery patients.
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http://dx.doi.org/10.1007/BF03032294 | DOI Listing |
Eur Heart J Cardiovasc Imaging
January 2025
Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
Background: Cardiac magnetic resonance (CMR) is essential for diagnosing cardiomyopathy, serving as the gold standard for assessing heart chamber volumes and tissue characterization. Hemodynamic forces (HDF) analysis, a novel approach using standard cine CMR images, estimates energy exchange between the left ventricular (LV) wall and blood. While prior research has focused on peak or mean longitudinal HDF values, this study aims to investigate whether unsupervised clustering of HDF curves can identify clinically significant patterns and stratify cardiovascular risk in non-ischemic LV cardiomyopathy (NILVC).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Animal Science, College of Agriculture and Veterinary Science Ambo University Mamo Mezemir Campus, Guder, Ethiopia.
Indigenous chickens play a crucial role in the livelihoods of smallholder farmers in rural Ethiopia. This study aimed to phenotypically characterize indigenous chickens in the Liban Jawi district, focusing on measurements of phenotypic characteristics. The multi-stage sampling method selected 192 households with at least two mature indigenous chickens from 2,166 households, resulting in the sampling of 224 chickens (138 females and 86 males) for phenotypic characterization.
View Article and Find Full Text PDFPLoS One
January 2025
MAP Centre for Urban Health Solutions, St. Michael's Hospital Toronto, Toronto, Ontario, Canada.
Background: Latina women in the United States experience intimate partner violence (IPV) at high rates, but evidence suggests Latinas seek help for IPV at lower rates than other communities. Safety planning is an approach that provides those experiencing IPV with concrete actions to increase their safety and referrals to formal services. While safety planning is shown to reduce future incidences of violence, little is known about the safety planning priorities of Latinas.
View Article and Find Full Text PDFPLoS One
January 2025
College of Business, Southern University of Science and Technology, Shenzhen, China.
In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance remains limited owing to challenges such as imbalanced data, local optima, and parameter adjustment complexities. Thus, this paper introduces a novel hybrid unsupervised classification method, named the two-stage hybrid system with spectral clustering and semi-supervised support vector machine (TSC-SVM), which effectively addresses the unsupervised imbalance problem in credit risk assessment by targeting global optimal solutions.
View Article and Find Full Text PDFPLoS Pathog
January 2025
Department of Experimental Immunology, Amsterdam UMC Location University of Amsterdam, Amsterdam, Netherlands.
Identifying cellular and molecular mechanisms maintaining HIV-1 latency in the viral reservoir is crucial for devising effective cure strategies. Here we developed an innovative flow cytometry-fluorescent in situ hybridization (flow-FISH) approach for direct ex vivo reservoir detection without the need for reactivation using a combination of probes detecting abortive and elongated HIV-1 transcripts. Our flow-FISH assay distinguished between HIV-1-infected CD4+ T cells expressing abortive or elongated HIV-1 transcripts in PBMC from untreated and ART-treated PWH from the Amsterdam Cohort Studies.
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