1.Factors Influencing the Diagnosis and Treatment of Latent Tuberculosis among Contacts in Congregated Settings in Korea
Journal of Korean Medical Science 2019;34(18):e138-
BACKGROUND: This study aimed to compare the indicators (the rates of diagnosis, need for treatment, treatment initiation, and treatment completion) of management of latent tuberculosis infection (LTBI) in contacts and to identify the impact of active tuberculosis (TB) index case characteristics on the exposed population in congregated settings, such as schools, workplaces, and medical institutes. METHODS: The data of 8,648 clusters in the TB epidemiological investigation database between 2013 and 2016 were extracted and analyzed to evaluate the indicators and perform multilevel logistic regression (MLR) analyses to identify the factors affecting each indicator. RESULTS: The rates of total LTBI diagnosis, need for treatment, treatment initiation, and treatment completion were 15.2%, 10.2%, 69.4%, and 76.6%, respectively. After adjusting for other factors on MLR, the probability of diagnosis and need for treatment of latent TB in contacts was higher in most types of facilities than in schools. Conversely, treatment completion rates in these facilities were lower. Notably, the correctional institutions showed the highest odds ratio (OR) relative to school for LTBI diagnosis (OR, 6.37) and need for treatment (OR, 4.49) and the lowest OR for treatment completion (OR, 0.10). CONCLUSION: This study provided evidence for the implementation of latent TB control policies in congregated settings.
Academies and Institutes
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Diagnosis
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Humans
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Korea
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Latent Tuberculosis
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Logistic Models
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Odds Ratio
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Tuberculosis
2.Obesity prevalence and related factors by gender and socioeconomic level in Busan, Korea - comparison on the methods of measurement
Health Communication 2020;15(1):1-9
Background:
The purpose of this study was to identify the differences in socioeconomic level of self-reported and measured obesity indicators (weight, height, body mass index, and obesity prevalence) and to compare the differences between factors.
Methods:
Data of 2,290,893 weighted cases from the 2018 community health surveys in Busan were used to calculate self-reported and measured obesity and the prevalence of obesity. Logistic regression models were used to estimate the odds ratio of self-reported and measured obesity.
Results:
The mean differences between self-reported and measured height, weight, and BMI were 0.53 cm, 0.66 kg, and 0.37 kg/m2 for men and 0.74 cm, 0.81 kg, and 0.55 kg/m2 for women, respectively. Self-reported and measured obesity prevalence rates were 35.36% and 40.79% in men and 20.55% and 27.16% in women, respectively. The difference between measured and self-reported values was high in the lower socioeconomic level group. Measured obesity, but not self-reported obesity, was significantly higher in the lower socioeconomic level group (level 3, odds ratio 1.26, 95% confidence interval 1.01-1.56).
Conclusions
These results indicate a requirement for obesity management policies for women with lower socioeconomic status.
3.Retrospective study on fractures in dogs.
Maruf MINAR ; Yawon HWANG ; Minhyeok PARK ; Somin KIM ; Cheongjin OH ; Seokhwa CHOI ; Gonhyung KIM
Journal of Biomedical Research 2013;14(3):140-144
Patients referred to the Veterinary Medical Center at Chungbuk National University were analyzed. This study aimed to provide information to clinicians in Korea on the factors affecting fracture incidence in patients adapted to Korean companion animal culture. Eighty cases showing-bone fractures were investigated from January, 2005 to December, 2011. Fractures were mainly observed in miniature dogs such as Yorkshire terrier (12%), Poodle (12%), and Maltese (9%). Almost 50% of all cases were less than 1 year old. Total bone fractures in summer and fall constituted 62%. Fracture incidence was higher in male dogs (54%) than female dogs (46%). Hindlimb fracture (37%) was the most common. Distribution of limb fractures was higher in the femur (19), followed by the tibia/fibula (15), radius/ulna (13), humerus (11), and mandible (8). Pelvic fracture was observed in 19 cases. Simple fracture (84%) was the most common fracture type, followed by comminuted fracture (16%). Distal portion was the most common fracture site in long bones (67%), followed by middle (26%) and proximal bones (7%). Fractures were mainly caused by traffic accidents (43%), whereas 28.5% of fractures were due to falling down. Plate & screw (26%) was the most common method of fracture repair, followed by intramedullary pin (24%), wire (11%), external skeletal fixation (10%), screw (9%), amputation (7%), cross pin (6%), IM pin and wire (5%), and rush pin (1%). Among 80 patients, 79%of patients showed a good prognosis after surgery, whereas 13% patients did not experience a good result. This study shows that miniature dogs are prone to falling and fractures, especially in the distal part of long bones.
Accidents, Traffic
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Amputation
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Animals
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Dogs*
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Extremities
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Female
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Femur
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Fracture Fixation
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Fractures, Bone
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Fractures, Comminuted
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General Surgery
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Hindlimb
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Humans
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Humerus
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Incidence
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Korea
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Male
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Mandible
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Pets
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Prognosis
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Retrospective Studies*
4.Clinical Implication of Concordant or Discordant Genomic Profiling between Primary and Matched Metastatic Tissues in Patients with Colorectal Cancer
Jung Yoon CHOI ; Sunho CHOI ; Minhyeok LEE ; Young Soo PARK ; Jae Sook SUNG ; Won Jin CHANG ; Ju Won KIM ; Yoon Ji CHOI ; Jin KIM ; Dong-Sik KIM ; Sung-Ho LEE ; Junhee SEOK ; Kyong Hwa PARK ; Seon Hahn KIM ; Yeul Hong KIM
Cancer Research and Treatment 2020;52(3):764-778
Purpose:
The purpose of this study was to identify the concordant or discordant genomic profiling between primary and matched metastatic tumors in patients with colorectal cancer (CRC) and to explore the clinical implication.
Materials and Methods:
Surgical samples of primary and matched metastatic tissues from 158 patients (335 samples) with CRC at Korea University Anam Hospital were evaluated using the Ion AmpliSeq Cancer Hotspot Panel. We compared genetic variants and classified them as concordant, primary-specific, and metastasis-specific variants. We used a combination of principal components analysis and clustering to find genomic groups. Kaplan-Meier curves were used to appraise survival between genomic groups. We used machine learning to confirm the correlation between genetic variants and metastatic sites.
Results:
A total of 282 types of deleterious non-synonymous variants were selected for analysis. Of a total of 897 variants, an average of 40% was discordant. Three genomic groups were yielded based on the genomic discrepancy patterns. Overall survival differed significantly between the genomic groups. The poorest group had the highest proportion of concordant KRAS G12V and additional metastasis-specific SMAD4. Correlation analysis between genetic variants and metastatic sites suggested that concordant KRAS mutations would have more disseminated metastases.
Conclusion
Driver gene mutations were mostly concordant; however, discordant or metastasis-specific mutations were present. Clinically, the concordant driver genetic changes with additional metastasis-specific variants can predict poor prognosis for patients with CRC.