• Korean Journal of Radiology
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• 제22권7호
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• pp.1213-1224
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• 2021

Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. Materials and Methods: Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists. Results: Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively. Conclusion: CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.

• Nutrition Research and Practice
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• 제10권4호
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• pp.398-403
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• 2016

BACKGROUND/OBJECTIVES: Atopic dermatitis (AD), a chronic inflammatory skin disease, is accompanied by disruption of the epidermal lipid barrier, of which ceramide (Cer) is the major component. Recently it was reported that vitamin C is essential for de novo synthesis of Cer in the epidermis and that the level of vitamin C in plasma is decreased in AD. The objective of this study was to determine the associations among clinical severity, vitamin C in either plasma or epidermis, and Cer in the epidermis of patients with AD. SUBJECTS/METHODS: A total of 17 patients (11 male and 6 female) aged 20-42 years were enrolled. The clinical severity of AD was assessed according to the SCORAD (SCORing Atopic Dermatitis) system. Levels of vitamin C were determined in plasma and biopsies of lesional epidermis. Levels of epidermal lipids, including Cer, were determined from tape-stripped lesional epidermis. RESULTS: The clinical severity of patients ranged between 0.1 and 45 (mild to severe AD) based on the SCORAD system. As the SCORAD score increased, the level of vitamin C in the plasma, but not in the epidermis, decreased, and levels of total Cer and Cer2, the major Cer species in the epidermis, also decreased. There was also a positive association between level of vitamin C in the plasma and level of total Cer in the epidermis. However, levels of epidermal total lipids including triglyceride, cholesterol, and free fatty acid (FFA) were not associated with either SCORAD score or level of vitamin C in the plasma of all subjects. CONCLUSIONS: As the clinical severity of AD increased, level of vitamin C in the plasma and level of epidermal Cer decreased, and there was a positive association between these two parameters, implying associations among plasma vitamin C, epidermal Cer, and the clinical severity of AD.

• 대한한의학회지
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• 제38권3호
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• pp.185-196
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• 2017

Backgrounds: Inpatient Classification System for Korean Medicine (KDRG-KM) was developed and has been applied for monitoring the costs of KM hospitals. Yet severity of patients' condition is not applied in the KDRG-KM. Objectives: This study aimed to develop the severity classification methods for KDRG-KM and assessed the explanation powers of severity adjusted KDRG-KM. Methods: Clinical experts panel was organized based on the recommendations from 12 clinical societies of Korean Medicine. Two expert panel workshops were held to develop the severity classification options, and the Delphi survey was performed to measure CCL(Complexity and Comorbidity Level) scores. Explanation powers were calculated using the inpatient EDI claim data issued by hospitals and clinics in 2012. Results: Two options for severity classification were deduced based on the severity classification principle in the domestic and foreign DRG systems. The option one is to classify severity groups using CCL and PCCL(Patient Clinical Complexity Level) scores, and the option two is to form a severity group with patients who belonged principal diagnosis-secondary diagnosis combinations which prolonged length of stay. All two options enhanced explanation powers less than 1%. For third option, patients who received certain treatments for severe conditions were grouped into severity group. The treatment expense of the severity group was significantly higher than that of other patients groups. Conclusions: Applying the severity classifications using principal diagnosis and secondary diagnoses can advance the KDRG-KM for genuine KM hospitalization. More practically, including patients with procedures for severe conditions in a severity group needs to be considered.

• 대한임상검사과학회지
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• 제53권3호
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• pp.201-207
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• 2021

The 2019 coronavirus outbreak poses a threat to scientific, societal, financial, and health resources. The complex pathogenesis of severe acute respiratory syndrome coronavirus centers on the unpredictable clinical progression of the disease, which may evolve abruptly and result in critical and life-threatening clinical complications. Effective clinical laboratory biomarkers that can classify patients according to risk are essential for ensuring timely treatment, and an analysis of recently published studies found cytokine storm and coagulation disorders were leading factors of severe COVID-19 complications. The following inflammatory, biochemical, and hematology biomarkers markers have been identified in COVID-19 patients; neutrophil to lymphocyte ratio, c-reactive protein, procalcitonin, urea, liver enzymes, lactate dehydrogenase, serum amyloid A, cytokines, d-dimer, fibrinogen, ferritin, troponin, creatinine kinase, and lymphocyte, leukocyte, and platelet counts. These factors are predictors of disease severity and some are involved in the pathogenesis of COVID-19. CRP is an acute-phase, non-specific serological biomarker of inflammation and infection and is related to disease severities and outcomes. In the present study, CRP levels were found to rise dramatically among COVID-19 patients, and our findings suggest CRP could be utilized clinically to predict COVID-19 prognosis and severity even before disease progression and the manifestation of clinical symptoms.

• Journal of Korean Neurosurgical Society
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• 제55권2호
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• pp.78-82
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• 2014

Objective : To investigate a diagnostic value of ultrasonography in carpal tunnel syndrome (CTS) patients and to evaluate a correlation of sonographic measurements with the degree of electrodiagnostic abnormalities and clinical severity. Methods : Two-hundred-forty-six symptomatic hands in 135 patients and 30 asymptomatic hands in 19 healthy individuals as control group were included. In ultrasonographic study, we measured the cross-sectional area (CSA) and flattening ratio (FR) of the median nerve at the pisiform as well as palmar bowing (PB) of the flexor retinaculum. Sensitivity and specificity of ultrasonographic measurements were evaluated and ultrasonographic data from the symptomatic and control hands were compared to the grade of electrodiagnostic and clinical severity. Results : The mean CSA was $13.7{\pm}4.2mm^2$ in symptomatic hands and $7.9{\pm}1.3mm^2$ in asymptomatic hands. The mean FR was $4.2{\pm}1.0$ in symptomatic hands and $3.4{\pm}0.4$ in asymptomatic hands. The mean PB was $3.5{\pm}0.5$ mm in symptomatic hands and $2.6{\pm}0.3$ mm in asymptomatic hands. Statistical analysis showed differences of the mean CSA, FR and PB between groups were significant. A cut-off value of $10mm^2$ for the mean CSA was found to be the upper limit for normal value. Both the mean CSA and PB are correlated with the grade of electrophysiological abnormalities and clinical severity, respectively. Conclusion : Ultrasographic measurement of the CSA and PB is helpful to diagnose CTS as a non-invasive and an alternative modality for the evaluation of CTS. In addition, ultrasonography also provides a reliable correlation with the grade of electrodiagnostic abnormalities and clinical severity.

• Medical Lasers
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• 제9권2호
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• pp.187-189
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• 2020

Cold atmospheric plasma (CAP) is a material that generates free radicals through the ionization of air. Despite the application in various medical fields, the efficacy and safety of CAP on post-inflammatory hyperpigmentation due to atopic dermatitis have not been reported. Herein, we report the improvement in post-inflammatory hyperpigmentation of atopic dermatitis, after CAP treatment of three sessions weekly, 10 minutes per session. We examined the clinical severity indexes before and after treatment, including the Investigator's Global Assessment, modified Atopic Dermatitis Antecubital Severity, Eczema Area and Severity Index, and pruritus visual analogue scores. Our results indicate that CAP alleviates the post-inflammatory hyperpigmentation and clinical severity of atopic dermatitis, and effectively improves the atopic skin lesion without severe safety issues. We believe that the previously reported anti-bacterial effects and production of interleukin-6 after CAP treatment are probably responsible for the underlying mechanisms leading to clinical improvement.

• 정신신체의학
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• 제6권1호
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• pp.28-34
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• 1998

Objective: This study was designed to evaluate the etiological factors of the PTSD(post traumatic stress disorder) by examining the relationship between severity of physical trauma and subsequent the severity of PTSD symptom in traffic accident related PTSD patients. Method: Subjects were 21 psychiatric inpatients with history of traffic accident related PTSD(DSM-IV criteria), the purpose of evaluation of mental disability and no evidence of organic brain leisons. The severity of physical trauma was assessed by McBride number of nonpsychiatric department and the presence / absence of loss of conciousness. The severity of PTSD symptom was assessed by Hovens' self rating inventory for PTSD. And then we evaluated the correlation between these two factors. And we also evaluated relationship between severity of PTSD symtom and clinical variables. Results : There were no significant relationship between McBride number of nonpsychiatric department severity and symptomatic severity(r= 0.17, p<0.05), the presence / absence of loss of conciousness and symptomatic severity(p>0.05). And significant relationship between symptomatic severity and clinical varibles such as sex, education level, marital status(p<0.05). Conclusions : These data did not support data of previous studies that traumatic severity was correlated with symptom severity but, suggested that other variables affecting the severity of PTSD symptom is more important indirectly. And that the 'trauma' in PTSD is psychological meaning rather than physical meaning is also suggested.

• 약학회지
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• 제52권3호
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• pp.232-239
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• 2008

The aim of this study was to evaluate if a composition of herb extracts, PLX-PLS was effective to treat atopic dermatitis (AD) in mice. SPZZC is a composition of herb extracts containing the roots of Scopolia parviflora and Paeonia lactiflora, the herb of Zizania caudiflora, the fruit of Ziziphus jujuba and the leaf of Chinese arborvitae. AD in BALB/c mouse was induced by patching ovoalbumin on the backside, while it in NC/Nga mouse was induced by repeated application of 1-chloro 2,4-dinitrobenzene (DNCB). Mice were topically treated with SPZZC or Domohorn ointment on the backside for 2 weeks (BALB/c) or 1 week (NC/Nga). Scratching behavior, clinical skin severity and the levels of WBC, neutrophil, eosinophil and total serum IgE were measured. After AD induction, scores of scratching behavior and clinical skin severity and the levels of WBC, neutrophil, eosinophil and total serum IgE were increased. Treatment with SPZZC significantly decreased scores of scratching behavior and clinical skin severity in a dose dependent manner in NC/Nga and BALB/c mice. Treatment with SPZZC 2% significantly decreased also the levels of WBC, neutrophil, eosinophil and total serum IgE. Especially, treatment of SPZZC 2% reduced more rapidly score of clinical skin severity than clobetasol cream. These results suggest that the SPZZC may be an alternative substance for the management of AD.

• 대한불안의학회지
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• 제13권1호
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• pp.10-16
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• 2017

Objective : This study aimed to investigate differences in demographic, clinical characteristics, and quality of life between panic-disorder patients with generalized anxiety disorder (PD+GAD) and without generalized anxiety disorder (PD-GAD). Methods : We examined data from 218 patients diagnosed with PD+GAD (150 patients) and PD-GAD (68patients). The following instruments were applied: Stress coping strategies, Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Panic Disorder Severity Scale (PDSS), Anxiety Sensitivity Index-Revised (ASI-R), Albany Panic and Phobia Questionnaire (APPQ), NEO-neuroticism(NEO-N), Short Form health survey-36 (SF-36). Results : Compared to the PD-GAD group, the PD+GAD group had higher scores in emotion-focused coping strategies and clinical severity, such as BDI, BAI, PDSS, ASI, APPQ, and neuroticism. The PD+ GAD group showed lower scores in most scales in SF-36 status than PD-GAD group. Conclusions : This study shows that PD+GAD patients are different from PD-GAD patients in coping strategies, clinical severity and quality of life. It emphasizes the need of personalized therapy in clinical approach among patients with PD+GAD.

• 보건행정학회지
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• 제23권1호
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• pp.35-43
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• 2013

Background: Diagnosis procedure combination (DPC) has recently been introduced in Korea as a demonstration project and it has aimed the improvement of accuracy in bundled payment instead of Diagnosis related group (DRG). The purpose of this study is to investigate that the model of end-stage liver disease (MELD) score as the severity classification of liver diseases is adequate for improving reimbursement of DPC. Methods: The subjects of this study were 329 patients of liver disease (Korean DRG ver. 3.2 H603) who had discharged from National Health Insurance Corporation Ilsan Hospital which is target hospital of DPC demonstration project, between January 1, 2007 and July 31, 2010. We tested the cost differences by severity classifications which were DRG severity classification and clinical severity classification-MELD score. We used a multiple regression model to find the impacts of severity on total medical cost controlling for demographic factor and characteristics of medical services. The within group homogeneity of cost were measured by calculating the coefficient of variation and extremal quotient. Results: This study investigates the relationship between medical costs and other variables especially severity classifications of liver disease. Length of stay has strong effect on medical costs and other characteristics of patients or episode also effect on medical costs. MELD score for severity classification explained the variation of costs more than DRG severity classification. Conclusion: The accuracy of DRG based payment might be improved by using various clinical data collected by clinical situations but it should have objectivity with considering availability. Adequate compensation for severity should be considered mainly in DRG based payment. Disease specific severity classification would be an alternative like MELD score for liver diseases.