This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.

This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.

This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.

This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.

Background: High-alert medications (HAMs) are medications that bear a heightened risk of causing significant patient harm if used in error. To facilitate safe use of HAMs, identifying specific HAM lists for clinical setting is necessary. We aimed to develop the national level HAM list for acute care setting. Methods: We used three-step process. First, we compiled the pre-existing lists referring HAMs. Second, we analyzed medication related incidents reported from national patient safety incident report data and adverse events indicating medication errors from the Korea Adverse Event Reporting System (KAERS).We also surveyed the assistant staffs to support patient safety tasks and pharmacist in charge of medication safety in acute care hospital. From findings from analysis and survey results we created additional candidate list of HAMs. Third, we derived the final list for HAMs in acute care settings through expert panel surveys. Results: From pre-existing HAM list, preliminary list consisting of 42 medication class/ingredients was derived. Eight assistant staff to support patient safety tasks and 39 pharmacists in charge of medication safety responded to the survey. Additional 44 medication were listed from national patient safety incident report data, KAERS data and common medications involved in prescribing errors and dispensing errors from survey data. A list of mandatory and optional HAMs consisting of 10 and 6 medication classes, respectively, was developed by consensus of the expert group. Conclusion We developed national level HAM list for Korean acute care setting from pre-existing lists, analyzing medication error data, survey and expert panel consensus.

Purpose: This study evaluated how artificial intelligence-based computer-assisted diagnosis (AICAD) for breast ultrasonography (US) influences diagnostic performance and agreement between radiologists with varying experience levels in different workflows. Methods: Images of 492 breast lesions (200 malignant and 292 benign masses) in 472 women taken from April 2017 to June 2018 were included. Six radiologists (three inexperienced [<1 year of experience] and three experienced [10-15 years of experience]) individually reviewed US images with and without the aid of AI-CAD, first sequentially and then simultaneously. Diagnostic performance and interobserver agreement were calculated and compared between radiologists and AI-CAD. Results: After implementing AI-CAD, the specificity, positive predictive value (PPV), and accuracy significantly improved, regardless of experience and workflow (all P<0.001, respectively). The overall area under the receiver operating characteristic curve significantly increased in simultaneous reading, but only for inexperienced radiologists. The agreement for Breast Imaging Reporting and Database System (BI-RADS) descriptors generally increased when AI-CAD was used (κ=0.29-0.63 to 0.35-0.73). Inexperienced radiologists tended to concede to AI-CAD results more easily than experienced radiologists, especially in simultaneous reading (P<0.001). The conversion rates for final assessment changes from BI-RADS 2 or 3 to BI-RADS higher than 4a or vice versa were also significantly higher in simultaneous reading than sequential reading (overall, 15.8% and 6.2%, respectively; P<0.001) for both inexperienced and experienced radiologists. Conclusion Using AI-CAD to interpret breast US improved the specificity, PPV, and accuracy of radiologists regardless of experience level. AI-CAD may work better in simultaneous reading to improve diagnostic performance and agreement between radiologists, especially for inexperienced radiologists.

BACKGROUND/AIMS: Anxiety and depression are associated with reflux symptoms in patients with gastroesophageal reflux disease (GERD). The purpose of this study is to investigate whether the anxiety and depression in patients with GERD will improve with anti-secretory treatment. MATERIALS AND METHODS: Participants who had taken upper endoscopic evaluation and who had symptoms of heartburn or acid regurgitation more than once a week were included through questionnaires. The hospital anxiety and depression scale was used to compare the scores before and after anti-secretory drug (proton pump inhibitor [PPI] or histamine-2 receptor blocker [H2 blocker]) treatment for four weeks. RESULTS: Eighty-four out of a total 94 patients were randomly assigned to a four week treatment, in which, 46 and 38 patients were each assigned to PPI and H2 blocker, respectively. Regardless of the type of treatment, anxiety scores decreased significantly from 5.8+/-3.8 to 5.2+/-3.9 after treatment (P=0.033). Depression scores of 6.3+/-3.4 before treatment reduced to 5.5+/-3.4 after treatment (P=0.011). Anxiety scores and depression scores decreased significantly after treatment in the H2 blocker group. In the response group, anxiety and depression showed significant improvement (P=0.008, P=0.011). CONCLUSIONS: Regardless of the type of drugs, anti-secretory therapy is helpful in treating symptomatic GERD patients, not only in relieving symptoms, but also in relieving anxiety and depression accompanied with GERD.
Anxiety ; Depression ; Gastroesophageal Reflux ; Heartburn ; Histamine H2 Antagonists ; Humans ; Proton Pump Inhibitors ; Surveys and Questionnaires

BACKGROUND/AIMS: Anxiety and depression are associated with reflux symptoms in patients with gastroesophageal reflux disease (GERD). The purpose of this study is to investigate whether the anxiety and depression in patients with GERD will improve with anti-secretory treatment. MATERIALS AND METHODS: Participants who had taken upper endoscopic evaluation and who had symptoms of heartburn or acid regurgitation more than once a week were included through questionnaires. The hospital anxiety and depression scale was used to compare the scores before and after anti-secretory drug (proton pump inhibitor [PPI] or histamine-2 receptor blocker [H2 blocker]) treatment for four weeks. RESULTS: Eighty-four out of a total 94 patients were randomly assigned to a four week treatment, in which, 46 and 38 patients were each assigned to PPI and H2 blocker, respectively. Regardless of the type of treatment, anxiety scores decreased significantly from 5.8+/-3.8 to 5.2+/-3.9 after treatment (P=0.033). Depression scores of 6.3+/-3.4 before treatment reduced to 5.5+/-3.4 after treatment (P=0.011). Anxiety scores and depression scores decreased significantly after treatment in the H2 blocker group. In the response group, anxiety and depression showed significant improvement (P=0.008, P=0.011). CONCLUSIONS: Regardless of the type of drugs, anti-secretory therapy is helpful in treating symptomatic GERD patients, not only in relieving symptoms, but also in relieving anxiety and depression accompanied with GERD.
Anxiety ; Depression ; Gastroesophageal Reflux ; Heartburn ; Histamine H2 Antagonists ; Humans ; Proton Pump Inhibitors ; Surveys and Questionnaires

BACKGROUND: Paronychia is a common infectious disease affecting fingernails and toenails. Although bacterial and fungal infections as well as mechanical trauma may play roles in the pathogenesis of this disease, there are few bacteriological studies about paronychia in military personnel. OBJECTIVE: To identify the causative bacteria of paronychia in military personnel. METHODS: We retrospectively analyzed the microbiological results of 145 patients who visited a tertiary referral hospital for Korean soldiers from August 2004 to October 2006. RESULTS: Twenty-eight different types of aerobic bacteria were identified, with the most common being Staphylococcus aureus (38.0%), Streptococcus pyogenes (7.2%), and Pseudomonas aeruginosa (5.4%). Staphylococcus aureus was identified mostly in finger and toe paronychial lesions and Pseudomonas aeruginosa was recovered commonly from toe paronychial lesions. All cases of paronychia were controlled by the combination of antiseptic dressing, topical antibacterial ointment, oral antibiotics, and antimycotic agents. CONCLUSION: The types of bacteria that most commonly caused paronychia in military personnel were Staphylococcus aureus, Staphylococcus pyogenes, and Pseudomonas aeruginosa. Thus, the commonly used oral antibiotics for paronychia, such as amoxicillin-clavulanate, clindamycin, and trimethoprim-sulfamethoxazole, are good choices in the treatment of paronychia in military personnel.
Anti-Bacterial Agents ; Bacteria ; Bacteria, Aerobic ; Bandages ; Clindamycin ; Communicable Diseases ; Fingers ; Humans ; Military Personnel ; Nails ; Paronychia ; Pseudomonas aeruginosa ; Retrospective Studies ; Staphylococcus ; Staphylococcus aureus ; Streptococcus pyogenes ; Tertiary Care Centers ; Toes ; Trimethoprim, Sulfamethoxazole Drug Combination

OBJECTIVES: This clinical study evaluated the effect of light activation on the whitening efficacy and safety of in-office bleaching system containing 15% hydrogen peroxide gel. MATERIALS AND METHODS: Thirty-three volunteers were randomly treated with (n = 17, experimental group) or without light activation (n = 16, control group), using Zoom2 white gel (15% H2O2, Discus Dental) for a total treatment time of 45 min. Visual and instrumental color measurements were obtained using Vitapan Classical shade guide and Shadepilot (DeguDent) at screening test, after bleaching, and 1 month and 3 month after bleaching. Data were analyzed using t-test, repeated measure ANOVA, and chi-squared test. RESULTS: Zoom2 white gel produced significant shade changes in both experimental and control group when pre-treatment shade was compared with that after bleaching. However, shade difference between two groups was not statistically significant (p > 0.05). Tooth shade relapse was not detected at 3 months after bleaching. The incidence of transient tooth sensitivity was 39.4%, with being no differences between two groups. CONCLUSIONS: The application of light activation with Zoom2 white gel system neither achieved additional whitening effects nor showed more detrimental influences.
Humans ; Hydrogen ; Hydrogen Peroxide ; Hypersensitivity ; Incidence ; Light ; Mass Screening ; Recurrence ; Tooth ; Tooth Bleaching