No abstract available.
Aerococcus* ; Gene Expression* ; Korea* ; Vancomycin Resistance* ; Vancomycin*

BACKGROUND: Rapid and sensitive detection of transfusion adverse reaction is fundamental to reducing transfusion-related morbidity and mortality. The aim of this study was to develop an effective system for reporting of transfusion adverse reaction. METHODS: Inpatient lists with transfusion adverse reaction on a nurse electronic medical records (EMR) from December 4th, 2014 to May 21st, 2015 were automatically selected and displayed to the computer screen of the blood bank data management system. After review of clinical and laboratory data of suspected patients with transfusion reaction, frequency of transfusion adverse reaction according to blood components was calculated. RESULTS: The frequency of transfusion adverse reactions according to blood components was, in decreasing order, red blood cells (RBC) 0.91% (58/6,404), frozen fresh plasma (FFP) 0.20% (5/2,549), and platelets 0.10% (6/5,728). Of 47 allergic reactions, the relative ratio by blood components was RBC 76.6%, platelets 12.8%, and FFP 10.6%. All of 22 febrile nonhemolytic transfusion reactions were RBC related reactions. CONCLUSION: The online transfusion adverse reaction reporting system based on a nurse EMR is helpful in easy and accurate estimation of transfusion adverse reaction incidence.
Blood Banks ; Blood Group Incompatibility ; Electronic Health Records* ; Erythrocytes ; Humans ; Hypersensitivity ; Incidence ; Inpatients ; Mortality ; Plasma

BACKGROUND: Liver biopsy is the gold standard for assessing liver fibrosis; however, it has a relatively high risk of resulting in complications. Although a non-invasive method (i.e., transient elastography—fibroscan) was introduced, it is expensive and is dependent on the patient's status. Thus, the FIB-4 score, a non-invasive formula, has been used to predict the degree of liver fibrosis. The aim of this study was to evaluate the usefulness of the FIB-4 score in predicting stages of liver fibrosis. METHODS: We analysed the age, diagnosis, and liver stiffness of 282 patients by measuring the levels of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) as well as their platelet count. Liver elasticity was evaluated by two classification criteria (Foucher et al. and Mueller et al.). The FIB-4 score was calculated using the formula: age×AST/(platelet count×ALT½). The cut-off value of the FIB-4 score was determined according to the area under the relative operating characteristic curve (AUC) based on liver elasticity. RESULTS: The FIB-4 cut-off values, as determined using two different criteria, have the highest AUC, thereby indicating a robust ability to distinguish between healthy liver tissue and the presence of any liver fibrosis. The FIB-4 score with a cut-off value of 2.07, as determined by Mueller et al., had the highest AUC (0.837) and odds ratio (2.741) with a sensitivity of 78.3% and a specificity of 76.5%. CONCLUSIONS: An FIB-4 score of 2.07 is a cut-off value that is useful in detecting fibrotic progression in chronic liver disease in our laboratory. Each laboratory should determine an appropriate FIB-4 cut-off value that is relative to the particular characteristics of their patient population.
Alanine Transaminase ; Area Under Curve ; Aspartate Aminotransferases ; Biopsy ; Classification ; Diagnosis ; Elasticity ; Humans ; Liver Cirrhosis* ; Liver Diseases ; Liver* ; Mass Screening* ; Methods ; Odds Ratio ; Platelet Count ; Sensitivity and Specificity

Purpose: Despite decreased prevalence of tuberculosis, the incidence of the diseases associated with nontuberculous mycobacteria (NTM) has been increasing in South Korea and around the world. The present retrospective study was conducted to determine longitudinal changes in the epidemiology and distribution of NTM over 13 years at a tertiary care hospital in Korea. Materials and Methods: We retrospectively analyzed data on Mycobacterium species over 13 years (January 2007 to December 2019) by utilizing the laboratory information system. Mycobacterium species were identified using biochemical tests and PCR-restriction fragment length polymorphism and Mycobacteria GenoBlot assays. Results: After excluding duplicates from the initial pool of 17996 mycobacterial isolates, 7674 strains were analyzed and 2984 (38.9%) NTM were isolated. The proportion of NTM continuously increased over the 13-year period, from 17.0% in 2007 to 57.5% in 2019. Among the NTM isolates, the most common species were Mycobacterium intracellulare (50.6%), M. avium (18.3%), M. fortuitum complex (4.9%), M. abscessus (4.5%), M. gordonae (3.3%), M. kansasii (1.1%), M. chelonae (1.0%), and M. massiliense (0.9%).In patients over the age of 70 years, the proportion of NTM among the isolates increased from 26.6% in 2007 to 62.0% in 2019, and that of M. intracellulare isolates among the NTM increased from 13.9% (11/79) in 2007 to 37.4% (175/468) in 2019. Conclusion The number of NTM isolates continuously increased over the study period, and the increase in the proportion of M. intracellulare in patients aged over 70 years was notable.

Purpose: Despite decreased prevalence of tuberculosis, the incidence of the diseases associated with nontuberculous mycobacteria (NTM) has been increasing in South Korea and around the world. The present retrospective study was conducted to determine longitudinal changes in the epidemiology and distribution of NTM over 13 years at a tertiary care hospital in Korea. Materials and Methods: We retrospectively analyzed data on Mycobacterium species over 13 years (January 2007 to December 2019) by utilizing the laboratory information system. Mycobacterium species were identified using biochemical tests and PCR-restriction fragment length polymorphism and Mycobacteria GenoBlot assays. Results: After excluding duplicates from the initial pool of 17996 mycobacterial isolates, 7674 strains were analyzed and 2984 (38.9%) NTM were isolated. The proportion of NTM continuously increased over the 13-year period, from 17.0% in 2007 to 57.5% in 2019. Among the NTM isolates, the most common species were Mycobacterium intracellulare (50.6%), M. avium (18.3%), M. fortuitum complex (4.9%), M. abscessus (4.5%), M. gordonae (3.3%), M. kansasii (1.1%), M. chelonae (1.0%), and M. massiliense (0.9%).In patients over the age of 70 years, the proportion of NTM among the isolates increased from 26.6% in 2007 to 62.0% in 2019, and that of M. intracellulare isolates among the NTM increased from 13.9% (11/79) in 2007 to 37.4% (175/468) in 2019. Conclusion The number of NTM isolates continuously increased over the study period, and the increase in the proportion of M. intracellulare in patients aged over 70 years was notable.

Globicatella sanguinis is an unusual pathogen causing bacteremia, meningitis, and urinary tract infection, and can be misidentified as Streptococcus pneumoniae or viridans streptococci due to its colonial morphology. A 76-year-old female patient with hypertension and degenerative arthritis was admitted to the hospital complaining of knee joint pain. Blood culture revealed the presence of Gram-positive cocci, and the isolated organism was equally identified as S. pneumoniae using the MicroScan identification system (Beckman Coulter, USA) and Vitek 2 identification system (bioMérieux, USA). However, the isolate showed optochin resistance based on the optochin disk susceptibility test. The organism was finally confirmed to be G. sanguinis based on 16S rRNA sequencing and hydrogen sulfide production testing. Accurate identification of G. sanguinis isolated from aseptic body fluids including blood is important for appropriate antibiotic selection based on accurate application of interpretative criteria of antimicrobial susceptibility test.
Aged ; Bacteremia* ; Body Fluids ; Female ; Gram-Positive Cocci ; Humans ; Hydrogen Sulfide ; Hypertension ; Knee Joint ; Meningitis ; Osteoarthritis ; Pneumonia ; Streptococcus pneumoniae ; Urinary Tract Infections ; Viridans Streptococci

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious zoonosis caused by the SFTS virus. Hemophagocytic lymphohistiocytosis (HLH) is a life-threatening syndrome associated with excessive immune activation. Cytokine storms are often seen in both SFTS and HLH, resulting in rapid disease progression and poor prognosis. The aim of this study was to identify whether SFTS cases complicated by HLH are related to higher rates of mortality. Descriptive analysis of the frequency of clinical and laboratory data, complications, treatment outcomes, and HLH-2004 criteria was performed. Cases presenting with five or more clinical or laboratory findings corresponding to the HLH-2004 diagnostic criteria were defined as SFTS cases complicated by HLH. Eighteen cases of SFTS were identified during a 2-year study period, with a case-fatality proportion of 22.2% (4 among 18 cases, 95% confidence interval 9%–45.2%). SFTS cases complicated by HLH were identified in 33.3% (6 among 18 cases). A mortality rate of 75% (3 among 4 cases) was recorded among SFTS cases complicated by HLH. Although there were no statistically significant differences in outcomes, fatal cases exhibited more frequent correlation with HLH-2004 criteria than non-fatal cases [3/14 (21.4%) vs. 3/4 (75%), p=0.083]. In conclusion, the present study suggests the possibility that SFTS cases complicated by HLH are at higher risk of poor prognosis.
Disease Progression ; Fatal Outcome ; Fever ; Lymphohistiocytosis, Hemophagocytic ; Mortality ; Prognosis ; Thrombocytopenia

Carbapenemase-producing Enterobacteriaceae (CPE) is an important and increasing threat to global health. From July to September 2017, 20 inpatients at a tertiary care hospital in Korea were either colonized or infected with carbapenem-resistant Escherichia coli strains. All of E. coli isolates co-produced bla(NDM-5) and bla(OXA-181) carbapenemase genes and shared ≥88% clonal relatedness on the basis of a cladistic calculation of the distribution of pulsed-field gel electrophoresis patterns. Rapid detection of CPE is one of the most important factors to prevent CPE dissemination because it takes long time for CPE to become negative.