Background: Carbapenem-resistant Pseudomonas aeruginosa (CrPA) is a leading cause of healthcare-associated urinary tract infections (UTIs). Carbapenemase production is an important mechanism that significantly alters the efficacy of frequently used anti-pseudomonal agents. Reporting the current genotypic distribution of carbapenemase-producing P.aeruginosa (CPPA) isolates in relation to antimicrobial susceptibility, UTI risk factors, and mortality is necessary to increase the awareness and control of these strains. Methods: In total, 1,652 non-duplicated P. aeruginosa strains were isolated from hospitalized patients between 2015 and 2020. Antimicrobial susceptibility, carbapenemase genotypes, risk factors for UTI, and associated mortality were analyzed. Results: The prevalence of carbapenem-non-susceptible P. aeruginosa isolates showed a decreasing trend from 2015 to 2018 and then increased in the background of the emergence of New Delhi metallo-β-lactamase (NDM)-type isolates since 2019. The CPPA strains showed 100.0% non-susceptibility to all tested antibiotics, except aztreonam (94.5%) and colistin (5.9%). Carbapenems were identified as a risk and common predisposing factor for UTI (odds ratio [OR] = 1.943) and mortality (OR = 2.766). Intensive care unit (ICU) stay (OR = 2.677) and white blood cell (WBC) count (OR = 1.070) were independently associated with mortality. Conclusions The changing trend and genetic distribution of CPPA isolates emphasize the need for relentless monitoring to control further dissemination. The use of carbapenems, ICU stay, and WBC count should be considered risk factors, and aggressive antibiotic stewardship programs and monitoring may serve to prevent worse outcomes.

Purpose: This study aimed to describe an atypical case of acute retinal necrosis presenting with primary choroidal involvement and early development of rhegmatogenous retinal detachment.Case summary: A 67-year-old immunocompetent woman presented with blurred vision in the right eye. Fundus examination revealed multiple yellowish retinal infiltrations, perivascular sheathing, and hemorrhages in the inferotemporal quadrant. Fluorescein angiography indicated diffuse leakage and obstructive vasculopathy. Moreover, indocyanine green angiography revealed a scattering pattern of hypofluorescence focused in the inferotemporal quadrant. This differed from the results of fundus examination and fluorescein angiography, which were indicative of primary choroidal inflammation. Despite treatment, the patient developed retinal detachment within 4 weeks.Surgical intervention revealed that the area of choroidal infiltration remained attached, whereas the other retinal regions were detached.Postoperative imaging revealed the absence of previously hypofluorescent areas, indicative of choroidal inflammation. Conclusions This case highlights the importance of recognizing primary choroidal involvement in acute retinal necrosis as it can indicate a more severe disease course and lead to earlier complications such as rhegmatogenous retinal detachment. Thus, comprehensive imaging and timely intervention are critical for effective management of these patients.

Differentiating between the diagnoses of mood disorders and other psychiatric disorders, and predicting treatment response in depression has long been a concern for clinicians. Machine learning (ML) is one part of artificial intelligence that focuses on instructing computers to mimic the cognitive abilities of the human brain through training. This study will review the research on the use of ML techniques to differentiate diagnoses and predict treatment responses in mood disorders based on electroencephalography (EEG) data. There have been several attempts to differentiate between the diagnoses of bipolar disorder and major depressive disorder , mood disorders, and other psychiatric disorders using ML techniques found on EEG markers. Previous studies have shown that accuracy varies depending on which EEG markers are used, the sample size, and the ML technique. Also, precise and improved ML approaches can be developed by adapting the various feature selection and validation methods that reflect each disease’s characteristics. Although ML faces some limitations and challenges in solving for consistent and improved accuracy in the diagnosis and treatment of mood disorders, it has a great potential to understand mood disorders better and provide valuable tools to personalize both identification and treatment.

Purpose: To evaluate the ocular adverse event (OAE) and the incidence rate that can occur after the COVID-19 vaccination. Methods: Patients who visited with an ophthalmologic diagnosis within a month of COVID-19 vaccination were retrospectively analyzed. OAEs were categorized as ischemia and inflammation by their presumed pathogenesis and were compared by types of vaccine: messenger RNA (mRNA) and viral vector vaccine. The crude incidence rate was calculated using data from the Korea Disease Control and Prevention Agency. Results: Twenty-four patients with OAEs after COVID-19 vaccination were reviewed: 10 patients after mRNA and 14 after viral vector vaccine. Retinal vein occlusion (nine patients) and paralytic strabismus (four patients) were the leading diagnoses. Ischemic OAE was likely to occur after viral vector vaccines, while inflammatory OAE was closely related to mRNA vaccine (p = 0.017). The overall incidence rate of OAE was 5.8 cases per million doses: 11.5 per million doses in viral vector vaccine and 3.4 per million doses in mRNA vaccine. Conclusions OAEs can be observed shortly after the COVID-19 vaccination, and their category was different based on the types of vaccine. The information and incidence of OAE based on the type of vaccine can help monitor patients who were administered the COVID-19 vaccine.

Background: Automated hematology analyzers report various research parameters. Certain parameters may have clinical implications, whereas others are used to set flags in automated hematology analyzers. In this study, we established sex-specific reference intervals for one reticulocyte parameter and two platelet clump parameters in Korean adults and examined the necessity of separate reference intervals for each sex. Methods: A total of 264 healthy adults (157 men and 107 women) aged between 18 and 65 years who underwent regular health check-ups were enrolled. Complete blood cell count was measured using Advia2120i (Siemens, Germany) within 4 hours of phlebotomy. Reference intervals were established according to the Clinical and Laboratory Standards Institute EP28-A3 guideline, and the necessity of separate sex-specific reference intervals was examined according to the method outlined by Harris and Boyd. Results: The reference intervals for each parameter were as follows:reticulocyte hemoglobin (g/L), 132.8–172.0 (men), 96.7–162.8 (women); the number of platelet clumps (# platelet clumps), 10.8–61.0 (men), －22.5–64.4 (women); and %platelet clumps, 0.20–1.49 (men), －0.57–1.53 (women).Reticulocyte hemoglobin showed a significant difference between men and women, whereas # platelet clumps and %platelet clumps did not; however, all three parameters needed separate sex-specific reference intervals. Conclusions We established sex-specific reference intervals for a reticulocyte parameter and platelet clumps parameters in Korean adults for the first time.The results could provide helpful information in clinical decision-making and instrument setting.

Objective: The prolonged coronavirus disease-2019 (COVID-19) pandemic is likely to cause psychological distress in people. This systematic review aimed to identify the effectiveness of virtual reality (VR)-based psychological intervention among individuals with psychological distress during the COVID-19 crisis. PubMed, Ovid MEDLINE, Cochrane Library, Web of Science, Embase, and PsycINFO databases were searched for articles published until July 2022. Methods: The available citations were deduplicated and screened by two authors using the title and abstract information. Eligibility criteria were constructed according to the PICOT guidelines. Empirical studies of all designs and comparator groups were included if they appraised the impact of an immersive VR intervention on any standardized measure indicative of psychological distress (stress, anxiety, depression, and post-traumatic symptoms) or improvements in quality of life in participants, including COVID-19 patients, medical staff working with COVID-19 patients, and people who had experienced strict social distancing during the COVID-19 pandemic. Results: The results were discussed using a narrative synthesis because of the heterogeneity between studies. Seven of the studies met the inclusion criteria. There were two randomized controlled trials and five uncontrolled studies on VR interventions. Conclusion All studies reported significant improvement in a wide range of psychological distress during COVID-19, ranging from stress, anxiety, depression, and post-traumatic symptoms to quality of life, supporting the efficacy of VR-based psychological intervention. Our results suggest that VR intervention has potential to ameliorate COVID-19-related psychological distress with efficacy and safety.

Lkh1, a LAMMER kinase homolog in the fission yeast Schizosaccharomyces pombe, acts as a negative regulator of filamentous growth and flocculation. It is also involved in the response to oxidative stress. The lkh1-deletion mutant displays slower cell growth, shorter cell size, and abnormal DNA content compared to the wild type. These phenotypes suggest that Lkh1 controls cell size and cell cycle progression. When we performed microarray analysis using the lkh1-deletion mutant, we found that only four of the up-regulated genes in the lkh1-deletion were associated with the cell cycle. Interestingly, all of these genes are regu lated by the Mlu1 cell cycle box binding factor (MBF), which is a transcription complex responsible for regulating the expression of cell cycle genes during the G1/S phase. Transcription analyses of the MBF-dependent cell-cycle genes, including negative feedback regulators, confirmed the up-regulation of these genes by the deletion of lkh1. Pull-down assay confirmed the interaction between Lkh1 and Yox1, which is a negative feedback regu lator of MBF. This result supports the involvement of LAMMER kinase in cell cycle regulation by modulating MBF activity. In vitro kinase assay and NetPhosK 2.0 analysis with the Yox1 T40,41A mutant allele revealed that T40 and T41 residues are the phosphorylation sites mediated by Lkh1. These sites affect the G1/S cell cycle progression of fission yeast by mod ulating the activity of the MBF complex.

Epidermal cell adhesion molecule (EpCAM) is a tumor-associated antigen (TAA), which has been considered as a cancer vaccine candidate. The EpCAM protein fused to the fragment crystallizable region of immunoglobulin G (IgG) tagged with KDEL endoplasmic reticulum (ER) retention signal (EpCAM-FcK) has been successfully expressed in transgenic tobacco (Nicotiana tabacum cv. Xanthi) and purified from the plant leaf. In this study, we investigated the ability of the plant-derived EpCAM-FcK (EpCAM-FcKP ) to elicit an immune response in vivo. The animal group injected with the EpCAM-FcKP showed a higher differentiated germinal center (GC) B cell population (~9%) compared with the animal group injected with the recombinant rhEpCAM-Fc chimera (EpCAM-FcM ). The animal group injected with EpCAM-FcKP (~42%) had more differentiated T follicular helper cells (Tfh) than the animal group injected with EpCAM-FcM (~7%). This study demonstrated that the plant-derived EpCAM-FcK fusion antigenic protein induced a humoral immune response in mice.

Background: Carbapenem-resistant Acinetobacter baumannii (CRAB) has emerged as an important nosocomial pathogen.The purpose of this study was to determine the effective methods for performing surveillance cultures of CRAB. Methods: Nasal and rectal swabs were obtained concurrently from hospitalized intensive care unit patients colonized with CRAB. All the samples were inoculated in CHROMagar Acinetobacter medium with CR102 (CHROMagar), MacConkey agar medium supplemented with 5 µg/mL imipenem (MCA-IPM), and triptic soy broth medium supplemented with 5 µg/ mL imipenem (TSB-IPM). CRAB detection rates for each sample were compared. Results: The CRAB detection rate in either one of the nasal or rectal swabs from the 37 patients tested were 89.2% (33/37) with the use of CHROMagar, 78.4% (29/37) with the use of MCA-IMP, and 86.5% (32/37) with the use of TSB-IMP. Conclusion We determined that concurrent use of both nasal and rectal swabs and CHROMagar could be an effective method for CRAB surveillance cultures.

Background: Two methods of counting cells in body fluids were compared;manual counting using a Neubauer chamber, and automated cell countingusing an XN-350 hematology analyzer. Methods: Cells from 32 body fluid samples were counted by manualexamination and by an automated analyzer. Total cells (TC), white bloodcells (WBC), red blood cells (RBC), polymorphonuclear leukocytes (PMN),mononuclear leukocytes (MN), neutrophils, lymphocytes, monocytes, andeosinophils were each counted by both methods. The results were comparedusing the Pearson correlation test, Bland-Altman regression analysis, andPassing-Bablok regression analysis. Results: The two methods showed very strong correlation in TC, WBC,RBC, PMN, and MN counts, strong correlation in % neutrophils, and %lymphocytes, and weak correlation in % monocytes and % eosinophils.Using Bland-Altman regression analysis, the mean biases for TC, WBC, andRBC were -270, -257.4, and -1,256.09, respectively, and 0.15 for PMN andMN. Research parameters were compared as well: mean biases were -1.31,-2.46, -5.16, and -3.58 for % neutrophils, % monocytes, % lymphocytes,and % eosinophils, respectively. Passing-Bablok regression equationswere y=1.039x+20, y=1.037x+19, y=1.259x+0.0, y=0.983x+1.541, andy=0.983x+0.125 for TC, WBC, RBC, PMN, and MN, respectively. The equationswere y=0.955x+2.194 for % neutrophils, y=0.965x+1.184 for % monocytes,y=1.003x+0.161 for % lymphocytes, and y=x+0.75 for % eosinophils. Conclusions WBC differential count results performed by an automatedhematology analyzer generally show good correlation with our referencemethod, Neubauer chamber counting.