Educating primary care physicians about blood donation and transfusion is critical. The Division of Hematology and Oncology at Soonchunhyang University Seoul Hospital in Korea introduced an on-site educational program termed the Blood Donation Center Visiting Program in the clerkship education for final-year medical students. We evaluated the educational outcomes and changes in perception among medical students after the Blood Donation Center Visiting Program based on a survey. The program was implemented from 2021 to 2023. As part of the program, students visited a blood donation center each week, one group at a time. They gained practical knowledge about the blood donation process, and some students actively participated in blood donation. After the program, 287 students were eligible for an online survey of the program, of whom 203 participated in the survey. Among the 203 students, 126 (62.1%) donated blood during their visit to the blood donation center as part of the program, and 88.7% of the students reported an increase (from 71.4% to 90.1%) in their knowledge and willingness to donate blood. The on-site educational Blood Donation Center Visiting Program appears to have generated positive changes in perceptions among students and enhanced their knowledge about blood donation.
Background: Carbapenem resistance in Pseudomonas aeruginosa is a serious global health problem. We investigated the clonal distribution and its association with the carbapenem resistance mechanisms of carbapenem-non-susceptible P. aeruginosa isolates from three Korean hospitals.
Methods: A total of 155 carbapenem-non-susceptible P. aeruginosa isolates collected between 2011 and 2019 were analyzed for sequence types (STs), antimicrobial susceptibility, and carbapenem resistance mechanisms, including carbapenemase production, the presence of resistance genes, OprD mutations, and the hyperproduction of AmpC β-lactamase.
Results: Sixty STs were identified in carbapenem-non-susceptible P. aeruginosa isolates. Two high-risk clones, ST235 (N=41) and ST111 (N=20), were predominant; however, sporadic STs were more prevalent than high-risk clones. The resistance rate to amikacin was the lowest (49.7%), whereas that to piperacillin was the highest (92.3%). Of the 155 carbapenem-non-susceptible isolates, 43 (27.7%) produced carbapenemases. Three metallo-β-lactamase (MBL) genes, blaIMP-6 (N=38), blaVIM-2 (N=3), and blaNDM-1 (N=2), were detected. blaIMP-6 was detected in clonal complex 235 isolates. Two ST773 isolates carried blaNDM-1 and rmtB. Frameshift mutations in oprD were identified in all isolates tested, regardless of the presence of MBL genes. Hyperproduction of AmpC was detected in MBL gene-negative isolates.
Conclusions: Frameshift mutations in oprD combined with MBL production or hyperproduction of AmpC are responsible for carbapenem resistance in P. aeruginosa. Further attention is required to curb the emergence and spread of new carbapenem-resistant P. aeruginosa clones.
Background: Facioscapulohumeral muscular dystrophy (FSHD) is a common form of muscular dystrophy that mainly affects skeletal muscle. FSHD1 accounts for 95% of all FSHD cases and can be diagnosed based on the pathogenic contraction of the D4Z4-repeat array on chromosome 4q35. Genetic diagnosis of FSHD1 is challenging because of the large size and repetitive nature of the D4Z4 region. We evaluated the clinical applicability of optical genome mapping (OGM) for the genetic diagnosis of FSHD1.
Methods: We included 25 individuals with clinically confirmed or suspected/probable FSHD and their families. Ultra-high-molecular-weight DNA from peripheral blood was labeled, stained, and imaged using a single-molecule OGM platform (Bionano Genomics Saphyr system). D4Z4 repeat size and haplotype information were analyzed using the manufacturer's dedicated pipeline. We also compared the workflow and test time between Southern blot analysis and OGM.
Results: We obtained concordant OGM and Southern blot results with 10 samples from patients with clinically confirmed FSHD. The D4Z4 repeat size differed within 1 unit between the Southern blot analysis and OGM. Among nine patients with clinically suspected or probable FSHD, six patients were confirmed to have pathogenic contractions by OGM. In our cohort, one de novo mosaic FSHD1 patient was successfully diagnosed with OGM. Moreover, OGM has a more straightforward and less time-consuming workflow than Southern blot analysis.
Conclusions: OGM enables accurate and reliable detection of pathogenic contraction of the D4Z4-repeat array and is a valuable tool for the genetic diagnosis of FSHD1.
The term "multiple primary (MP) cancers" refers to the existence of more than one cancer in the same patient. The combination of MP cancers with hematological malignancies is relatively uncommon. In this study, we present five patients diagnosed with MP cancers concomitant with hematological malignancies. We comprehensively analyzed their clinical characteristics, cytogenetic profiles, and germline and somatic variants. As first primaries, two patients had solid cancer not followed by cytotoxic therapy and three had hematologic cancer, followed by cytotoxic therapy. The second primaries were all hematologic malignancies that did not meet the criteria for therapy-related myeloid neoplasm. Notably, two (40%) out of the five patients harbored pathogenic potential/presumed germline variants in cancer predisposition genes. Therefore, germline variant testing should be considered when MP cancers with hematological malignancies require consideration for related donor stem cell transplantation.
Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery.
Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan-Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs.
Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P&0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio=1.17, 95% confidence interval, 1.10-1.25). Our ROC results showed the predictive value of the RDW.
Conclusions: An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.
Background: Coronavirus disease (COVID-19) induces inflammation, coagulopathy following platelet and monocyte activation, and fibrinolysis, resulting in elevated D-dimer levels. Activated platelets and monocytes produce microvesicles (MVs). We analyzed the differences in platelet and monocyte MV counts in mild, moderate, and severe COVID-19, as well as their correlation with D-dimer levels.
Methods: In this cross-sectional study, blood specimens were collected from 90 COVID-19 patients and analyzed for D-dimers using SYSMEX CS-2500. Platelet MVs (PMVs; PMVCD42b+ and PMVCD41a+), monocyte MVs (MMVs; MMVCD14+), and phosphatidylserine-binding annexin V (PS, AnnV+) were analyzed using a BD FACSCalibur instrument.
Results: PMV and MMV counts were significantly increased in COVID-19 patients. AnnV+ PMVCD42b+ and AnnV+ PMVCD41a+ cell counts were higher in patients with severe COVID-19 than in those with moderate clinical symptoms. The median (range) of AnnV+ PMVCD42b+ (MV/μL) in mild, moderate, and severe COVID-19 was 1,118.3 (328.1-1,910.5), 937.4 (311.4-2,909.5), and 1,298.8 (458.2-9,703.5), respectively (P =0.009). The median (range) for AnnV+ PMVCD41a+ (MV/μL) in mild, moderate, and severe disease was 885.5 (346.3-1,682.7), 663.5 (233.8-2,081.5), and 1,146.3 (333.3-10,296.6), respectively (P =0.007). D-dimer levels (ng/mL) weak correlated with AnnV+ PMVCD41a+ (P =0.047, r=0.258).
Conclusions: PMV PMVCD42b+ and PMVCD41a+ counts were significantly increased in patients with severe clinical symptoms, and PMVCD41a+ counts correlated with D-dimer levels. Therefore, MV counts can be used as a potential biomarker of COVID-19 severity.