Background: The emergence of tigecycline-resistant Acinetobacter baumannii has been reported, and the need for tigecycline susceptibility testing in this strain is increasing. However, neither the Clinical & Laboratory Standards Institute, nor the European Commission on Antimicrobial Susceptibility Testing have provided definitive criteria for tigecycline susceptibility testing of A. baumannii. In this study, the disk diffusion method and the minimal inhibitory concentration (MIC) method were com pared to verify conventionally used Food and Drug Administration-identified interpretive criteria to detect tigecycline resistance of A. baumannii. Methods: Forty-four strains of A. baumannii with tigecycline resistance were collected through the Kor-GLASS (Korean Global Antimicrobial Resistance Surveillance System) study in 2022 using the disk diffusion test (DDT). This strain was retested with the MIC method using a Sensititre Gram Negative GN6F AST plate (Thermo Fisher Scientific, USA) to confirm tigecycline resistance. The confirmed strain was subjected to whole genome analysis to elucidate the tigecycline resistance mechanism. Results: Only one of the 44 isolates identified as resistant to tigecycline by the DDT showed resistance with the MIC method, thus the concordance rate of the two methods was 2.3% (1/44). Sequence type 195 strain, carrying bla OXA23 was identified. This strain had no resistance genes of the tetracycline family but had resistance genes to other antimicrobial families. Conclusions Discrepancy of the tigecycline susceptibility test of A. baumannii was identified. To detect tigecycline resistance of A. baumannii, more reliable methods are required.

Background: The emergence of tigecycline-resistant Acinetobacter baumannii has been reported, and the need for tigecycline susceptibility testing in this strain is increasing. However, neither the Clinical & Laboratory Standards Institute, nor the European Commission on Antimicrobial Susceptibility Testing have provided definitive criteria for tigecycline susceptibility testing of A. baumannii. In this study, the disk diffusion method and the minimal inhibitory concentration (MIC) method were com pared to verify conventionally used Food and Drug Administration-identified interpretive criteria to detect tigecycline resistance of A. baumannii. Methods: Forty-four strains of A. baumannii with tigecycline resistance were collected through the Kor-GLASS (Korean Global Antimicrobial Resistance Surveillance System) study in 2022 using the disk diffusion test (DDT). This strain was retested with the MIC method using a Sensititre Gram Negative GN6F AST plate (Thermo Fisher Scientific, USA) to confirm tigecycline resistance. The confirmed strain was subjected to whole genome analysis to elucidate the tigecycline resistance mechanism. Results: Only one of the 44 isolates identified as resistant to tigecycline by the DDT showed resistance with the MIC method, thus the concordance rate of the two methods was 2.3% (1/44). Sequence type 195 strain, carrying bla OXA23 was identified. This strain had no resistance genes of the tetracycline family but had resistance genes to other antimicrobial families. Conclusions Discrepancy of the tigecycline susceptibility test of A. baumannii was identified. To detect tigecycline resistance of A. baumannii, more reliable methods are required.

Background: The emergence of tigecycline-resistant Acinetobacter baumannii has been reported, and the need for tigecycline susceptibility testing in this strain is increasing. However, neither the Clinical & Laboratory Standards Institute, nor the European Commission on Antimicrobial Susceptibility Testing have provided definitive criteria for tigecycline susceptibility testing of A. baumannii. In this study, the disk diffusion method and the minimal inhibitory concentration (MIC) method were com pared to verify conventionally used Food and Drug Administration-identified interpretive criteria to detect tigecycline resistance of A. baumannii. Methods: Forty-four strains of A. baumannii with tigecycline resistance were collected through the Kor-GLASS (Korean Global Antimicrobial Resistance Surveillance System) study in 2022 using the disk diffusion test (DDT). This strain was retested with the MIC method using a Sensititre Gram Negative GN6F AST plate (Thermo Fisher Scientific, USA) to confirm tigecycline resistance. The confirmed strain was subjected to whole genome analysis to elucidate the tigecycline resistance mechanism. Results: Only one of the 44 isolates identified as resistant to tigecycline by the DDT showed resistance with the MIC method, thus the concordance rate of the two methods was 2.3% (1/44). Sequence type 195 strain, carrying bla OXA23 was identified. This strain had no resistance genes of the tetracycline family but had resistance genes to other antimicrobial families. Conclusions Discrepancy of the tigecycline susceptibility test of A. baumannii was identified. To detect tigecycline resistance of A. baumannii, more reliable methods are required.

Background: The emergence of tigecycline-resistant Acinetobacter baumannii has been reported, and the need for tigecycline susceptibility testing in this strain is increasing. However, neither the Clinical & Laboratory Standards Institute, nor the European Commission on Antimicrobial Susceptibility Testing have provided definitive criteria for tigecycline susceptibility testing of A. baumannii. In this study, the disk diffusion method and the minimal inhibitory concentration (MIC) method were com pared to verify conventionally used Food and Drug Administration-identified interpretive criteria to detect tigecycline resistance of A. baumannii. Methods: Forty-four strains of A. baumannii with tigecycline resistance were collected through the Kor-GLASS (Korean Global Antimicrobial Resistance Surveillance System) study in 2022 using the disk diffusion test (DDT). This strain was retested with the MIC method using a Sensititre Gram Negative GN6F AST plate (Thermo Fisher Scientific, USA) to confirm tigecycline resistance. The confirmed strain was subjected to whole genome analysis to elucidate the tigecycline resistance mechanism. Results: Only one of the 44 isolates identified as resistant to tigecycline by the DDT showed resistance with the MIC method, thus the concordance rate of the two methods was 2.3% (1/44). Sequence type 195 strain, carrying bla OXA23 was identified. This strain had no resistance genes of the tetracycline family but had resistance genes to other antimicrobial families. Conclusions Discrepancy of the tigecycline susceptibility test of A. baumannii was identified. To detect tigecycline resistance of A. baumannii, more reliable methods are required.

Background: The emergence of tigecycline-resistant Acinetobacter baumannii has been reported, and the need for tigecycline susceptibility testing in this strain is increasing. However, neither the Clinical & Laboratory Standards Institute, nor the European Commission on Antimicrobial Susceptibility Testing have provided definitive criteria for tigecycline susceptibility testing of A. baumannii. In this study, the disk diffusion method and the minimal inhibitory concentration (MIC) method were com pared to verify conventionally used Food and Drug Administration-identified interpretive criteria to detect tigecycline resistance of A. baumannii. Methods: Forty-four strains of A. baumannii with tigecycline resistance were collected through the Kor-GLASS (Korean Global Antimicrobial Resistance Surveillance System) study in 2022 using the disk diffusion test (DDT). This strain was retested with the MIC method using a Sensititre Gram Negative GN6F AST plate (Thermo Fisher Scientific, USA) to confirm tigecycline resistance. The confirmed strain was subjected to whole genome analysis to elucidate the tigecycline resistance mechanism. Results: Only one of the 44 isolates identified as resistant to tigecycline by the DDT showed resistance with the MIC method, thus the concordance rate of the two methods was 2.3% (1/44). Sequence type 195 strain, carrying bla OXA23 was identified. This strain had no resistance genes of the tetracycline family but had resistance genes to other antimicrobial families. Conclusions Discrepancy of the tigecycline susceptibility test of A. baumannii was identified. To detect tigecycline resistance of A. baumannii, more reliable methods are required.

Alzheimer’s disease (AD), one of the most representative neurodegenerative diseases, has diverse neurobiological and pathophysiological mechanisms. Treatment strategies targeting a single mechanism have repeated faced failures because the mechanism of neuronal cell death is very complex that is not fully understood yet. Since complex mechanisms exist to explain AD, a variety of diagnostic biomarkers for diagnosing AD are required.Moreover, standardized evaluations for comprehensive diagnosis using neuropsychological, imaging, and laboratory tools are needed. In this review, we summarize the latest clinical, neuropsychological, imaging, and laboratory evaluations to diagnose patients with AD based on our own experience in conducting a prospective study.

Background and Objectives: Protein-losing enteropathy (PLE) is a devastating complication after the Fontan operation. This study aimed to investigate the clinical characteristics, treatment response, and outcomes of Fontan-associated PLE. Methods: We reviewed the medical records of 38 patients with Fontan-associated PLE from 1992 to 2018 in 2 institutions in Korea. Results: PLE occurred in 4.6% of the total 832 patients after the Fontan operation. After a mean period of 7.7 years after Fontan operation, PLE was diagnosed at a mean age of 11.6years. The mean follow-up period was 8.9 years. The survival rates were 81.6% at 5 years and 76.5% at 10 years. In the multivariate analysis, New York Heart Association Functional classification III or IV (p=0.002), low aortic oxygen saturation (<90%) (p=0.003), and ventricular dysfunction (p=0.032) at the time of PLE diagnosis were found as predictors of mortality. PLE was resolved in 10 of the 38 patients after treatment. Among medical managements, an initial heparin response was associated with survival (p=0.043). Heparin treatment resulted in resolution in 4 patients. We found no evidence on pulmonary vasodilator therapy alone. PLE was also resolved after surgical Fontan fenestration (2/6), aortopulmonary collateral ligation (1/1), and transplantation (1/1). Conclusions The survival rate of patients with Fontan-associated PLE has improved with the advancement of conservative care. Although there is no definitive method, some treatments led to the resolution of PLE in one-fourth of the patients. Further investigations are needed to develop the best prevention and therapeutic strategies for PLE.

Purpose: This study aimed to develop a bedside nursing shift report protocol and evaluate the effect of the protocol in a tertiary hospital in South Korea. Methods: The bedside nursing handoff protocol with patient engagement was developed based on the literature review and the validation of an expert group. The effect of the protocol on clinical implication was tested in three medical-surgical units in a tertiary hospital. Outcomes were assessed by patient perception, nurse perception, and reporting time. Data collected from June to August in 2018 and analyzed with descriptive statistics and One-way ANOVA using SPSS version 25.0. Results: The bedside nursing shift report protocol with patient engagement consisted of two steps: nurse to nurse report and bedside report with patients. Nurse’s perception with patient engagement was significantly increased after applying protocol (F=17.85, p<.001). Patient’s perception was significantly improved in the areas of discharge plan (F=7.86, p<.001), health information privacy (F=4.46, p=.012) and identify attending nurse (F=3.19, p=.042). There were no differences in reporting time between the bedside nursing shift report and a traditional shift report (F=0.61, p=.054). Conclusion Patient perception was significantly increased, while nurse perception was not different after applying this protocol. For the change in the perception of nurses, education may be preceded to improve nurses' competence for the bedside shift report. Furthermore, the support in enough nurse staffing should be needed for encouraging the bedside shift report. The bedside shift report may enhance patient engagement. Therefore it may improve patient safety and health outcome in clinics.

Background: The fatality rate of patients with coronavirus disease 2019 (COVID-19) varies among countries owing to demographics, patient comorbidities, surge capacity of healthcare systems, and the quality of medical care. We assessed the clinical outcomes of patients with COVID-19 during the first wave of the epidemic in Korea. Methods: Using a modified World Health Organization clinical record form, we obtained clinical data for 3,060 patients with COVID-19 treated at 55 hospitals in Korea. Disease severity scores were defined as: 1) no limitation of daily activities; 2) limitation of daily activities but no need for supplemental oxygen; 3) supplemental oxygen via nasal cannula; 4) supplemental oxygen via facial mask; 5) non-invasive mechanical ventilation; 6) invasive mechanical ventilation; 7) multi-organ failure or extracorporeal membrane oxygenation therapy; and 8) death. Recovery was defined as a severity score of 1 or 2, or discharge and release from isolation. Results: The median age of the patients was 43 years of age; 43.6% were male. The median time from illness onset to admission was 5 days. Of the patients with a disease severity score of 3–4 on admission, 65 (71.5%) of the 91 patients recovered, and 7 (7.7%) died due to illness by day 28. Of the patients with disease severity scores of 5–7, 7 (19.5%) of the 36 patients recovered, and 8 (22.2%) died due to illness by day 28. None of the 1,324 patients who were < 50 years of age died; in contrast, the fatality rate due to illness by day 28 was 0.5% (2/375), 0.9% (2/215), 5.8% (6/104), and 14.0% (7/50) for the patients aged 50–59, 60–69, 70–79, and ≥ 80 years of age, respectively. Conclusion In Korea, almost all patients of < 50 years of age with COVID-19 recovered without supplemental oxygen. In patients of ≥ 50 years of age, the fatality rate increased with age, reaching 14% in patients of ≥ 80 years of age.

PURPOSE: This study aimed to investigate the performance of patient engagement nursing services perceived by nurses and necessity in Korea. METHODS: This study was a descriptive research. A total of 205 nurses participated in the study. The Smart Patient Engagement Assessment Checklist was developed by the investigators to assess patient engagement nursing services performance and necessity. The data were collected using online survey. Descriptive analysis and χ² analysis were performed using SPSS 25.0 program. RESULTS: The mean age of participants was 36.6±8.5 years and the mean working experience was 12.92±9.23 years. Seventy eight percent of participants reported that patients and family participated in care as advisors through customer's suggestion or patient satisfaction assessment. The rate of patients' and family's engagement in care as advisors was significantly higher in tertiary hospitals (χ²=28.54, p<.001). About 89% of participants communicated with patients and family to make clinical decisions with a multidisciplinary approach. The rate of communication for multidisciplinary decision making was significantly higher in tertiary hospitals (χ²=6.30, p=.012). With regards to nurses' bedside patient handoff, 22.0% of participants reported that they were performing bedside patient handoff, and there was no significant difference between type of hospitals. About discharge planning, 72.2% of participants reported utilizing discharge checklist. CONCLUSION: Currently, patient engagement nursing services are applied partially in Korea. It seems that care protocols to be applied for patient engagement nursing services are insufficient. Therefore, patient engagement care protocols need to be developed to improve patient's health outcome and safety.
Checklist ; Decision Making ; Humans ; Korea ; Needs Assessment ; Nursing Services ; Nursing ; Patient Discharge ; Patient Handoff ; Patient Participation ; Patient Satisfaction ; Research Personnel ; Tertiary Care Centers