Background: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea.For rapid triage, we studied machine learning-based triage systems composed of a speech recognition model and natural language processing-based classification. Methods: We simulated 762 triage cases that consisted of 18 classes with six types of the main symptom (chest pain, dyspnea, fever, stroke, abdominal pain, and headache) and three levels of KTAS. In addition, we recorded conversations between emergency patients and clinicians during the simulation. We used speech recognition models to transcribe the conversation. Bidirectional Encoder Representation from Transformers (BERT), support vector machine (SVM), random forest (RF), and k-nearest neighbors (KNN) were used for KTAS and symptom classification. Additionally, we evaluated the Shapley Additive exPlanations (SHAP) values of features to interpret the classifiers. Results: The character error rate of the speech recognition model was reduced to 25.21% through transfer learning. With auto-transcribed scripts, support vector machine (area under the receiver operating characteristic curve [AUROC], 0.86; 95% confidence interval [CI], 0.81–0.9), KNN (AUROC, 0.89; 95% CI, 0.85–0.93), RF (AUROC, 0.86; 95% CI, 0.82–0.9) and BERT (AUROC, 0.82; 95% CI, 0.75–0.87) achieved excellent classification performance.Based on SHAP, we found “stress”, “pain score point”, “fever”, “breath”, “head” and “chest” were the important vocabularies for determining KTAS and symptoms. Conclusion We demonstrated the potential of an automatic KTAS classification system using speech recognition models, machine learning and BERT-based classifiers.

Background: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea.For rapid triage, we studied machine learning-based triage systems composed of a speech recognition model and natural language processing-based classification. Methods: We simulated 762 triage cases that consisted of 18 classes with six types of the main symptom (chest pain, dyspnea, fever, stroke, abdominal pain, and headache) and three levels of KTAS. In addition, we recorded conversations between emergency patients and clinicians during the simulation. We used speech recognition models to transcribe the conversation. Bidirectional Encoder Representation from Transformers (BERT), support vector machine (SVM), random forest (RF), and k-nearest neighbors (KNN) were used for KTAS and symptom classification. Additionally, we evaluated the Shapley Additive exPlanations (SHAP) values of features to interpret the classifiers. Results: The character error rate of the speech recognition model was reduced to 25.21% through transfer learning. With auto-transcribed scripts, support vector machine (area under the receiver operating characteristic curve [AUROC], 0.86; 95% confidence interval [CI], 0.81–0.9), KNN (AUROC, 0.89; 95% CI, 0.85–0.93), RF (AUROC, 0.86; 95% CI, 0.82–0.9) and BERT (AUROC, 0.82; 95% CI, 0.75–0.87) achieved excellent classification performance.Based on SHAP, we found “stress”, “pain score point”, “fever”, “breath”, “head” and “chest” were the important vocabularies for determining KTAS and symptoms. Conclusion We demonstrated the potential of an automatic KTAS classification system using speech recognition models, machine learning and BERT-based classifiers.

Eight Beagle dogs were anesthetized and were imaged using a single channel helical CT scanner. The contrast medium used in this study was iohexol (300 mg I/ml) and doses were 0.5 ml/kg for a cine scan, 3 ml/kg for an enhanced scan. The flow rate for contrast material administration was 2 ml/sec for all scans. This study was divided into three steps, with unenhanced, cine and enhanced scans. The enhanced scan was subdivided into the arterial phase and the venous phase. All of the enhanced scans were reconstructed in 1 mm intervals and the scans were interpreted by the use of reformatted images, a cross sectional histogram, maximum intensity projection and shaded surface display. For the cine scans, optimal times were a 9-sec delay time post IV injection in the arterial phase, and an 18-sec delay time post IV injection in the venous phase. A nine-sec delay time was acceptable for the imaging of the canine hepatic arteries by CT angiography. After completion of arterial phase scanning, venous structures of the liver were well visualized as seen on the venous phase.
Angiography/methods/*veterinary ; Animals ; Contrast Media/pharmacology ; Dogs/*anatomy & histology ; Iohexol/pharmacology ; Liver/*blood supply ; Tomography, X-Ray Computed/methods/*veterinary

PURPOSE: The present survey was conducted to investigate the perceptions among nurses of neonatal pain and the associated use of pharmacologic measures (PMs) and nonpharmacologic comfort measures (CMs) in neonatal intensive care units (NICUs). Pain perception, the necessity and actual use of PMs and CMs, and their relationships were investigated and compared according to nurses' positions, educational levels, the existence of guidelines, and prior education on neonatal pain management. METHODS: Participants were 141 nurses from five NICUs at university hospitals. A questionnaire was developed by researchers based on previous studies of neonatal pain management and current practices in surveyed NICUs. Five-point Likert scales were used to assess nurses' perceptions of pain, the necessity of PMs and CMs, and their actual use in 29 painful procedures. RESULTS: The mean scores of perceived pain and the necessity of PMs and CMs were 3.68, 2.96, and 3.79 points, respectively. The actual use of PMs and CMs was 1.67 and 2.63 points, respectively. The perceived necessity of PMs correlated with the actual use of PMs (r = .316, p < .001), and CMs were performed (r = .390, p < .001). Keeping or reading guidelines, or receiving education on pain management resulted in a higher perception of the necessity of PMs. CONCLUSION: Korean nurses in NICUs often underestimate the necessity of pain relief measures and use few PMs or CMs. Therefore, systematic approaches to implement guidelines, such as adaptation of guidelines for each NICU, dissemination of guideline content to all NICU staff, and regular measurements of compliance with the guidelines, are recommended.
Adult ; *Attitude of Health Personnel ; Cross-Sectional Studies ; Female ; Humans ; Infant, Newborn ; *Intensive Care Units, Neonatal ; Intensive Care, Neonatal/*methods ; Nursing Staff, Hospital/*psychology ; Pain/nursing ; Pain Management/*methods/psychology/*utilization ; Questionnaires ; Republic of Korea ; Young Adult

OBJECTIVE: The effect of acute noise on cognitive function has long been a topic of study, yet these effects remain a serious problem for learning performance in school children. METHODS: From November 15, 2010 to December 8, 2010, we enrolled 268 students from three elementary schools (135 boys and 133 girls, 10–12 years old) in Ulsan, Korea. The study subjects were divided into two groups according to their test conditions (background versus additional noise), and tests were conducted using psychological examination tools. Chi-square tests and general linear models were used to assess the differences of impacts on cognition between the two groups. RESULTS: After adjusting for socio-demographic covariates, the noise significantly affected the results of full-scale IQ, verbal IQ, Continuous Performance Test scores, and Children’s Color Trails Test and Stroop test scores. The groups at high risk of learning difficulties were more affected by noise than low-risk groups. CONCLUSION: These findings suggest that noise is hazardous to the attention and performance of elementary school students, particularly for groups at greater risk for poor academic achievement. Additional studies are needed to identify subject-specific levels of noise that can affect attention and cognitive function.
Child* ; Cognition* ; Female ; Humans ; Korea ; Learning ; Linear Models ; Noise* ; Non-Randomized Controlled Trials as Topic* ; Stroop Test ; Ulsan

Purpose: The severity of a patient’s medical condition, changing pharmacodynamics and pharmacokinetics, and variability in medication highlight the importance of pharmacological intervention by intensive care unit (ICU) specialized pharmacists.
Methods: Retrospective observations of ICU interventions (omission, changes in medicine, side effects, changes in administration route and dosage, redundancy, and nutritional care) performed between April 2017 and March 2018, determined by an interdisciplinary team (including a specialized ICU pharmacist and a surgical intensivist) on their surgical ICU round, were analyzed. Medicinal prescriptions were screened weekly during the surgical ICU round, and interventions were made if any corrections were necessary. Two days later another team including a surgical intensivist, a pharmacist, and a nutritionist evaluated the patients’ nutritional status (performed weekly).
Results: In the 23-bed ICU, the average number of patients whose prescriptions were examined was 22.38 per surgical round. There were 382 interventions made over 1 year, which was 9.68 interventions per day. The interventions were for nutritional care (161 cases, 42.2%), followed by changes in administration route and dosage (94 cases, 24.6%), omission (59 cases, 15.5%), redundancy (40 cases, 10.4%), changes in medicine (15 cases, 3.9%), and side effects (13 cases, 3.4%).
Conclusion The conditions of patients admitted to ICU are typically unstable. Pharmacological interventions suggested by a specialized pharmacist may help control the changing medical condition of patients in ICU. A higher participation of pharmacists specialized in working in an interdisciplinary ICU team-based system could lead to safer treatments.

Purpose: The severity of a patient’s medical condition, changing pharmacodynamics and pharmacokinetics, and variability in medication highlight the importance of pharmacological intervention by intensive care unit (ICU) specialized pharmacists.
Methods: Retrospective observations of ICU interventions (omission, changes in medicine, side effects, changes in administration route and dosage, redundancy, and nutritional care) performed between April 2017 and March 2018, determined by an interdisciplinary team (including a specialized ICU pharmacist and a surgical intensivist) on their surgical ICU round, were analyzed. Medicinal prescriptions were screened weekly during the surgical ICU round, and interventions were made if any corrections were necessary. Two days later another team including a surgical intensivist, a pharmacist, and a nutritionist evaluated the patients’ nutritional status (performed weekly).
Results: In the 23-bed ICU, the average number of patients whose prescriptions were examined was 22.38 per surgical round. There were 382 interventions made over 1 year, which was 9.68 interventions per day. The interventions were for nutritional care (161 cases, 42.2%), followed by changes in administration route and dosage (94 cases, 24.6%), omission (59 cases, 15.5%), redundancy (40 cases, 10.4%), changes in medicine (15 cases, 3.9%), and side effects (13 cases, 3.4%).
Conclusion The conditions of patients admitted to ICU are typically unstable. Pharmacological interventions suggested by a specialized pharmacist may help control the changing medical condition of patients in ICU. A higher participation of pharmacists specialized in working in an interdisciplinary ICU team-based system could lead to safer treatments.

Background: Most abdominal aortic aneurysms are degenerative atherosclerotic aneurysms. Inflammatory or infected abdominal aortic aneurysms, which show a slightly different clinical course, are rarely encountered in clinical settings. Therefore, we aimed to investigate the clinical course of these variants of abdominal aortic aneurysms. Methods: This retrospective study included 32 patients with atypical inflammatory or infected abdominal aortic aneurysms who underwent emergent graft replacement between November 1997 and December 2017. Patients were followed up at the outpatient clinic for a mean period of 4.9±6.9 years. We analyzed the patients’ clinical course and compared it with that of patients with atherosclerotic abdominal aortic aneurysms. Results: There was 1 surgical mortality (3.0%) in a case complicated by aneurysmal free rupture. In 2 cases of infected abdominal aortic aneurysms, anastomotic complications developed immediately postoperatively. During the follow-up period, 10 patients (30%) developed graft complications, and 9 of them underwent reoperations; of these, 2 patients (22.2%) died of postoperative complications after the second operation, whereas 2 patients survived despite graft occlusion. Conclusion Patients with inflammatory abdominal aneurysms frequently develop postoperative graft complications requiring secondary surgical treatment, so they require close mandatory postoperative follow-up.

Ureteral jets are the result of a forceful ejection of urine from the vesicoureteral junction into the urinary bladder. By using color Doppler ultrasonography (US), we aimed to identify distinct ureteral jets in dogs, provide insight into ureteral obstruction, and facilitate study of urodynamics and vesicoureteric sphincter function via pulsed Doppler US. Color Doppler US was applied to detect urinary flow from the right ureteral orifices in eight healthy beagles. Under anesthesia, 0.9% saline (2.5 mL/kg/h) and furosemide (0.5 mg/kg) were administered intravenously to assist in detection of distinct ureteral jets and examine their frequency, velocity, duration, and waveform. In all dogs, ureteral jets were visualized under diuresis and anesthesia within 2 to 5 min (mean 3.57 ± 0.90 min) of the furosemide injection. Mean frequency, peak velocity, and duration of right ureteral jets in seven dogs in whom six ureteral jet waveform patterns were identified were 9.86 ± 3.09 jets/min, 34.07 ± 10.02 cm/sec, and 2.82 ± 1.08 sec, respectively. During the 10 min period starting 10 min after the initial jet appeared, only three waveforms were identified. Color Doppler US of ureteral jets may aid in assessing vesicoureteric sphincter function and ureteral abnormalities, such as ureteral obstruction, in dogs.
Anesthesia ; Animals ; Diuresis ; Dogs* ; Furosemide ; Ultrasonography, Doppler ; Ultrasonography, Doppler, Color* ; Ureter* ; Ureteral Obstruction ; Urinary Bladder ; Urodynamics

Computed tomography (CT) exams were conducted to determine the distribution of abdominal fat identified based on the CT number measured in Hounsfield Units (HU) and to measure the volume of the abdominal visceral and subcutaneous fat in minipigs. The relationship between the CT-based fat volumes of several vertebral levels and the entire abdomen and anthropometric data including the sagittal abdominal diameter and waist circumference were evaluated. Moreover, the total fat volumes at the T11, T13, L3, and L5 levels were compared with the total fat volume of the entire abdomen to define the landmark of abdominal fat distribution. Using a single-detector CT, six 6-month-old male minipigs were scanned under general anesthesia. Three radiologists then assessed the HU value of visceral and subcutaneous abdominal fat by drawing the region of interest manually at the T11, T13, L1, L3, and L5 levels. The CT number and abdominal fat determined in this way by the three radiologists was found to be correlated (intra-class coefficient = 0.9). The overall HU ranges for the visceral and subcutaneous fat depots were -147.47 to -83.46 and -131.62 to -90.97, respectively. The total fat volume of the entire abdomen was highly correlated with the volume of abdominal fat at the T13 level (r = 0.97, p < 0.0001). These findings demonstrate that the volume of abdominal adipose tissue measured at the T13 level using CT is a strong and reliable predictor of total abdominal adipose volume.
Animals ; *Body Composition ; Male ; Subcutaneous Fat, Abdominal/*radiography ; Swine ; Swine, Miniature/growth & development/*physiology ; Tomography, X-Ray Computed/*veterinary