PURPOSE: The purpose of this study was to examine a hypothetical model designed to explain the influence of length of work experience, frequency of mobilization, traumatic events, and depression on post-traumatic stress (PTS) in Korean fire fighters. METHODS: In this study 2,181 fire fighters were surveyed and data collection was conducted from September 7 to September 30, 2009 using an structured questionnaire. SPSS and AMOS programs were used for descriptive statistics, t-test, ANOVA, and path analysis. RESULTS: Frequency of mobilization, traumatic events, and depression showed direct effects on PTS for fire fighters, while length of work experience showed an indirect effect on PTS for fire fighters. The variables of this modified model explained 47.9% of the variance in PTS. CONCLUSION: Through this study the hypothetical model adequately explained PTS in fire fighters. Fire fighter's PTS can be decreased by managing long-term work experience, frequency of mobilization, traumatic events, and depression. Based on the outcomes of this study, it is necessary to develop a Critical Incident Stress Debriefing (CISD) program for PTS.
Crisis Intervention ; Data Collection ; Depression ; Firefighters ; Fires ; Humans ; Surveys and Questionnaires ; Stress Disorders, Post-Traumatic

PURPOSE: Colistin resistance in Acinetobacter baumannii (A. baumannii) is mediated by a complete loss of lipopolysaccharide production via mutations in lpxA, lpxC, and lpxD gene or lipid A modifications via mutations in the pmrA and pmrB genes. However, the exact mechanism of therapy-induced colistin resistance in A. baumannii is not well understood. MATERIALS AND METHODS: We investigated the genotypic and phenotypic changes that underlie pan-drug resistance mechanisms by determining differences between the alterations in extensively drug-resistant (XDR) A. baumannii (AB001 and AB002) isolates and a pan-drug resistant (PDR) counterpart (AB003) recovered from one patient before and after antibiotic treatment, respectively. RESULTS: All three clinical isolates shared an identical sequence type (ST138), belonging to the global epidemic clone, clonal complex 92, and all produced OXA-23 carbapenemase. The PDR AB003 showed two genetic differences, acquisition of armA gene and an amino acid substitution (Glu229Asp) in pmrB gene, relative to XDR isolates. No mutations were detected in the pmrA, pmrC, lpxA, lpxC, or lpxD genes in all three isolates. In matrix-assisted laser desorption ionization-time of flight analysis, the three isolates commonly showed two major peaks at 1728 m/z and 1912 m/z, but peaks at 2034 m/z, 2157 m/z, 2261 m/z, and 2384 m/z were detected only in the PDR A. baumannii AB003 isolate. CONCLUSION: Our results show that changes in lipid A structure via a mutation in the pmrB gene and acquisition of armA gene might confer resistance to colistin and aminoglycosides to XDR A. baumannii strains, resulting in appearance of a PDR A. baumannii strain of ST138.
Acinetobacter Infections/*drug therapy/microbiology ; Acinetobacter baumannii/*drug effects/*genetics/isolation & purification ; Aged ; Anti-Bacterial Agents/*pharmacology/therapeutic use ; Bacterial Proteins/*genetics ; Colistin/*pharmacology/therapeutic use ; *Drug Resistance, Bacterial ; Electrophoresis, Gel, Pulsed-Field ; Genotype ; Humans ; Male ; Microbial Sensitivity Tests ; Molecular Typing ; Mutation ; Polymerase Chain Reaction ; Transcription Factors ; beta-Lactamases

OBJECTIVES: Self-reported anthropometric values, such as height and weight, are used to calculate body mass index (BMI) and assess the prevalence of obesity among adolescents. The aim of this study was to evaluate the validity of self-reported height, weight, and BMI of the Korea Youth Risk Behavior Web-based Survey questionnaire. METHODS: A convenience sample of 137 middle school students and 242 high school students completed a self-administered questionnaire in 2008. Body height and weight were directly measured after self-reported values were obtained from the questionnaire survey. Sensitivity, specificity, and kappa statistics were computed in order to evaluate the validity of the prevalence of obesity (BMI > or = 95th percentile or > or = 25 kg/m2) based on self-reported data. RESULTS: Self-reported weight and BMI tended to be underestimated. Self-reported height tended to be overestimated among middle school females and high school males. Obese adolescents tended to underestimate their weight and BMI and overestimate their height more than non-obese adolescents. The prevalence estimate of obesity based on self-reported data (10.6%) was lower than that based on directly measured data (15.3%). The estimated sensitivity of obesity based on self-reported data was 69.0% and the specificity was 100.0%. The value of kappa was 0.79 (95% confidence interval, 0.70-0.88). CONCLUSIONS: This study demonstrated that self-reported height and weight may lead to the underestimation of BMI and consequently the prevalence of obesity. These biases should be taken into account when self-reported data are used for monitoring the prevalence and trends of obesity among adolescents nationwide.
Adolescent ; Adolescent Behavior ; *Body Height ; *Body Mass Index ; *Body Weight ; Confidence Intervals ; Data Collection ; Female ; Humans ; Male ; Obesity/*epidemiology ; Prevalence ; Questionnaires ; Republic of Korea ; Risk-Taking ; Sensitivity and Specificity

Purpose: Globally, concerns have grown regarding the long-term effects of novel coronavirus disease (COVID-19) infection. Therefore, we evaluated the long-term course of persistent symptoms and patient quality of life. Materials and Methods: This prospective cohort study was conducted at a single tertiary university hospital from August 31, 2020 to March 29, 2021 with adult patients followed at 6 and 12 months after acute COVID-19 symptom onset or diagnosis. Clinical characteristics, self-reported symptoms, EuroQol 5 dimension 5 level (EQ5D-5L) index scores, Korean version of the Patient Health Questionnaire-9 (PHQ-9), Korean version of the Posttraumatic Stress Disorder Checklist-5 (PCL-5-K), and Generalized Anxiety Disorder-7 (GAD-7) were investigated. Symptom persistent or non-persistent groups were defined according to persistency of COVID-19 related symptoms or signs after acute COVID-19 infection, respectively. Results: Of all 235 patients, 170 (64.6%) patients were eligible for analysis. The median age was 51 (interquartile range, 37–61) years old, and 102 patients were female (60.0%). After 12 months from acute COVID-19 infection, in total, 83 (48.8%) patients still suffered from COVID-19-related symptoms. The most common symptoms included amnesia (24.1%), insomnia (14.7%), fatigue (13.5%), and anxiety (12.9%). Among the five EQ5D-5L categories, the average value of anxiety or depression was the most predominant. PHQ-9 and PCL-5-K scores were statistically higher in the COVID-19–related symptom persistent group than the non-persistent group (p=0.001). However, GAD-7 scores showed no statistical differences between the two groups (p=0.051). Conclusion Neuropsychiatric symptoms were the major COVID-19–related symptoms after 12 months from acute COVID-19 infection, reducing quality of life.

Purpose: We aimed to develop a novel mortality scoring system for inpatients with COVID-19 based on simple demographic factors and laboratory findings. Materials and Methods: We reviewed and analyzed data from patients who were admitted and diagnosed with COVID-19 at 10 hospitals in Daegu, South Korea, between January and July 2020. We randomized and assigned patients to the development and validation groups at a 70% to 30% ratio. Each point scored for selected risk factors helped build a new mortality scoring system using Cox regression analysis. We evaluated the accuracy of the new scoring system in the development and validation groups using the area under the curve. Results: The development group included 1232 patients, whereas the validation group included 528 patients. In the development group, predictors for the new scoring system as selected by Cox proportional hazards model were age ≥70 years, diabetes, chronic kidney disease, dementia, C-reactive protein levels >4 mg/dL, infiltration on chest X-rays at the initial diagnosis, and the need for oxygen support on admission. The areas under the curve for the development and validation groups were 0.914 [95% confidence interval (CI) 0.891–0.937] and 0.898 (95% CI 0.854–0.941), respectively. According to our scoring system, COVID-19 mortality was 0.4% for the low-risk group (score 0–3) and 53.7% for the very high-risk group (score ≥11). Conclusion We developed a new scoring system for quickly and easily predicting COVID-19 mortality using simple predictors. This scoring system can help physicians provide the proper therapy and strategy for each patient.

Background: As the coronavirus disease 2019 (COVID-19) pandemic has progressed, there has been a growing awareness of the long-term impacts of the COVID-19 infection. However, until recently, there was no published study that investigated COVID-19-related sequelae and related factors for greater than six months from the onset of COVID-19 symptoms or the time of COVID-19 diagnosis in Korea. Materials and Methods: Online survey and statistical analysis were conducted by Kyungpook National University Hospital on 5,252 patients diagnosed as COVID-19 between February 18, 2020 and March 14, 2020. Responders aged between 16 and 70 years were included. Longterm sequelae were defined as persistent symptoms or signs ≥ 6 months after acute COVID-19 infection. The survey was conducted from September 8, 2020 to September 10, 2020.Clinical characteristics and self-reported clinical sequelae of the responders were analyzed to investigate the prevalence and factors associated with sequelae using descriptive and multivariate logistic regression analysis. Results: The median period from the date of the first symptom onset or COVID-19 diagnosis to the time of the survey was 195 (interquartile range [IQR] 191 - 200) days. The response rate was 17.1% (900 out of 5,252). The median age was 31 (IQR 24.0 - 47.0) years old, and 627 responders were female (69.7%). Regarding the disease severity, 29 (3.2%) were asymptomatic, 763 (84.8%) mild, 86 (9.6%) moderate, 17 (1.9%) severe, and 5 (0.6%) critical. In total, 591 (65.7%) responders suffered from COVID-19-related long-term sequelae and 78 (8.6%) responders were receiving outpatient treatment for COVID-19-related long-term sequelae. The most common symptoms identified during the isolation period were anosmia and ageusia at 44.5% and 43.5%, respectively. Fatigue was the most common long-term sequelae, accounting for 253 (26.2%) responders, followed by concentration difficulty, amnesia, cognitive dysfunction, anxiety, and depression, which accounted for over 20%. Female gender was identified as the factor associated with mental and psychological long-term sequelae (P <0.05). Conclusion The results showed that the rate of COVID-19-related long-term sequelae was 65.7%. The most common long-term sequela was fatigue. The risk factor identified was female gender. It was found that the long-term sequelae had various manifestations, including mental and psychological aspects. To improve the care of COVID-19 recovered patients with COVID-19-related long-term sequelae, the participation of a comprehensive and an interdisciplinary group of researchers is required.

Background: As the coronavirus disease 2019 (COVID-19) pandemic has progressed, there has been a growing awareness of the long-term impacts of the COVID-19 infection. However, until recently, there was no published study that investigated COVID-19-related sequelae and related factors for greater than six months from the onset of COVID-19 symptoms or the time of COVID-19 diagnosis in Korea. Materials and Methods: Online survey and statistical analysis were conducted by Kyungpook National University Hospital on 5,252 patients diagnosed as COVID-19 between February 18, 2020 and March 14, 2020. Responders aged between 16 and 70 years were included. Longterm sequelae were defined as persistent symptoms or signs ≥ 6 months after acute COVID-19 infection. The survey was conducted from September 8, 2020 to September 10, 2020.Clinical characteristics and self-reported clinical sequelae of the responders were analyzed to investigate the prevalence and factors associated with sequelae using descriptive and multivariate logistic regression analysis. Results: The median period from the date of the first symptom onset or COVID-19 diagnosis to the time of the survey was 195 (interquartile range [IQR] 191 - 200) days. The response rate was 17.1% (900 out of 5,252). The median age was 31 (IQR 24.0 - 47.0) years old, and 627 responders were female (69.7%). Regarding the disease severity, 29 (3.2%) were asymptomatic, 763 (84.8%) mild, 86 (9.6%) moderate, 17 (1.9%) severe, and 5 (0.6%) critical. In total, 591 (65.7%) responders suffered from COVID-19-related long-term sequelae and 78 (8.6%) responders were receiving outpatient treatment for COVID-19-related long-term sequelae. The most common symptoms identified during the isolation period were anosmia and ageusia at 44.5% and 43.5%, respectively. Fatigue was the most common long-term sequelae, accounting for 253 (26.2%) responders, followed by concentration difficulty, amnesia, cognitive dysfunction, anxiety, and depression, which accounted for over 20%. Female gender was identified as the factor associated with mental and psychological long-term sequelae (P <0.05). Conclusion The results showed that the rate of COVID-19-related long-term sequelae was 65.7%. The most common long-term sequela was fatigue. The risk factor identified was female gender. It was found that the long-term sequelae had various manifestations, including mental and psychological aspects. To improve the care of COVID-19 recovered patients with COVID-19-related long-term sequelae, the participation of a comprehensive and an interdisciplinary group of researchers is required.

Purpose: We aimed to develop a novel mortality scoring system for inpatients with COVID-19 based on simple demographic factors and laboratory findings. Materials and Methods: We reviewed and analyzed data from patients who were admitted and diagnosed with COVID-19 at 10 hospitals in Daegu, South Korea, between January and July 2020. We randomized and assigned patients to the development and validation groups at a 70% to 30% ratio. Each point scored for selected risk factors helped build a new mortality scoring system using Cox regression analysis. We evaluated the accuracy of the new scoring system in the development and validation groups using the area under the curve. Results: The development group included 1232 patients, whereas the validation group included 528 patients. In the development group, predictors for the new scoring system as selected by Cox proportional hazards model were age ≥70 years, diabetes, chronic kidney disease, dementia, C-reactive protein levels >4 mg/dL, infiltration on chest X-rays at the initial diagnosis, and the need for oxygen support on admission. The areas under the curve for the development and validation groups were 0.914 [95% confidence interval (CI) 0.891–0.937] and 0.898 (95% CI 0.854–0.941), respectively. According to our scoring system, COVID-19 mortality was 0.4% for the low-risk group (score 0–3) and 53.7% for the very high-risk group (score ≥11). Conclusion We developed a new scoring system for quickly and easily predicting COVID-19 mortality using simple predictors. This scoring system can help physicians provide the proper therapy and strategy for each patient.

Background: Monitoring the full spectrum of causes of death among human immunodeficiency virus (HIV) patients has become increasingly important as survival improves because of highly active antiretroviral therapy. However, there are no recently published data regarding the changes in the causes of death among HIV patients based on year of HIV diagnosis, and the impact of low CD4 count at the time of HIV diagnosis on the clinical outcome is still unclear in Korea. Methods: A retrospective cohort study was conducted with 801 patients with HIV infection who were followed up at a tertiary university hospital and diagnosed with HIV between July 1984 and October 2019. The causes of death were analyzed by descriptive analysis based on CD4 count and the year of HIV diagnosis. Kaplan–Meier and log rank tests were performed to compare the prognosis between the CD4 < 200 cells/mm 3 and CD4 ≥ 200 cells/mm 3 groups. Results: Among 801 patients, 67 patients were eligible for the death cause analysis.Infection-related death accounted for 44 patients (65.7%) and non-infection related death accounted for 23 patients (32.4%). Pneumocystis pneumonia (29.9%) was the single most common cause of death in both past and present cases, and tuberculosis (19.4%) was the second leading cause of death from infections, but the frequency has declined in recent years. Causes of infection-related death have decreased, whereas non-infection related causes of death have increased remarkably. Malignancy-related death was the most common cause of non-infection related death. Acquired immunodeficiency syndrome (AIDS) non-related malignancy accounted for 11.9%, whereas AIDS-related malignancy accounted for 6.0% of the total death among HIV patients. No significant statistical differences were found in mortality rate (P = 0.228), causes of death (P = 0.771), or survival analysis (P = 0.089) between the CD4 < 200 cells/mm3 and CD4 ≥ 200 cells/mm3 groups. Conclusion Being diagnosed with CD4 < 200 cells/mm3 at the time of HIV diagnosis was not an indicator of greater risk of death compared with the CD4 ≥ 200 cells/mm3 group. Malignant tumors have become an important cause of death in recent years, and an increasing tendency of AIDS-non-related malignancy causes has been observed.