Acute cerebellitis is a clinically isolated condition showing cerebellar signs such as ataxia, dizziness and dysarthria. Most of them are associated with viral infection, which generally occur in childhood and show benign course without sequelae. Tuberculous cerebellitis is very rare and its outcome is not well described. The aim of this study is to describe the clinical features and course in a patient with tuberculous cerebellits. We will also discuss the possible prognostic factors in acute cerebellitis.
Adult ; Ataxia ; Cerebellum ; Dizziness ; Dysarthria ; Encephalitis ; Humans ; Tuberculosis

Acute infarction in the whole territory of the middle cerebral artery (MCA) can lead to massive cerebral edema, raised intracranial pressure and cerebral herniation which may result in come and death ultimately. There are same reports which mentioned that craniectomy or stroketomy was an effective life-saving procedure and favorable outcome would be expected after the procedure. In this study, the effect of decompressive partial temporal lobectomy was evaluated in twelve patients of extensive panhemispheric infarction of middle cerebral artery(MCA). We investigated radiologically proven patients of extensive panhemispheric infarction of MCA with impending herniation process, who were admitted to our hospital from March 1991 to June 1996, prospectively and retrospectively. Decompressive partial temporal lobectomy was performed in twelve patients and eighteen patients were treated by only conventional medical treatment(control group). Prognosis were compared between two groups to analyse the effect of the decompressive lobectomy. Fourteen out of the 18 controls(78%) and five out of 12 patients who were treated by decompressive lobectomy(41%) expired due to herniation process. The mortality between two groups was significantly different(P(0.05). Four patient had relatively good outcome(by Barthel index score) and all of them belonged to the decompressive lobectomy group. These results suggest that the decompressive lobectomy be an effective life saving procedure for malignant cerebral edema after a total MCA infarction.
Brain Edema ; Humans ; Infarction* ; Infarction, Middle Cerebral Artery ; Intracranial Pressure ; Middle Cerebral Artery* ; Mortality ; Prognosis ; Prospective Studies ; Retrospective Studies

PURPOSE: The smoking rates among teenagers in Korea grow gradually since 1980s despite of the numerous programs for youth smoking prevention and cessation have been developed and implemented. The purpose of this study was to explore and describe the processes of habituating to smoking among teenagers using the grounded theory methodology. METHOD: Qualitative data was collected via six focus group interviews. A total of 38 people, twelve teachers and 24 middle school students participated in this study. All focus group interviews were tape-recorded, transcribed, and analyzed according to the grounded theory methodology. RESULTS: The overriding theme of the elicited grounded theory was "stepping into a quagmire by a merest chance". The student participants began smoking by a simple chance. The contingent factors to starting smoking were "discord within the family", "family member's smoking", "schoolwork stresses", or "a rebellious spirit". The conditions of smoking included accessibility, going around in group, and the lack of discipline. "Stigmatizing", "involved in mob violence", and "making a poor academic record" coexisted as the covariance of the smoking habituation. CONCLUSION: The findings of this study illustrated the comprehensive and insightful picture of the phenomena under investigation. Nursing implications and further directions for research were discussed.
Adolescent* ; Focus Groups ; Humans ; Korea ; Nursing ; Smoke* ; Smoking* ; Tobacco Products

PURPOSE: The purpose of this study was to develop a scale to measure person-centered critical care nursing and verify its reliability and validity. METHODS: A total of 38 preliminary items on person-centered critical care nursing were selected using content validity analysis of and expert opinion on 72 candidate items derived through literature review and qualitative interviews. We conducted a questionnaire survey with 477 nurses who worked in intensive care units. The collected data were analyzed using exploratory factor analysis (EFA) and confirmative factor analysis (CFA) with SPSS and AMOS 24.0 program. RESULTS: EFA was performed with principal axis factor analysis and Varimax rotation. The 15 items in 4 factors that accounted for 50.8% of the total variance were identified by deleting the items that were not meet the condition that the commonality should be .30 or more and the factor loading over .40. We named the factors as compassion, individuality, respect, and comfort, respectively. The correlation coefficient between this scale and the Caring Perception Scale was r=.57 (p < .001), which determined concurrent validity. The item-total correlation values ranged from .39 to .63, and the internal consistency for the scale was Cronbach's α=.84. CONCLUSION: The reliability and validity of the 15 item person-centered critical care nursing scale were verified. It is expected that the use of this scale would expand person-centered care in critical care nursing.
Critical Care Nursing* ; Critical Care* ; Empathy ; Expert Testimony ; Factor Analysis, Statistical ; Individuality ; Intensive Care Units ; Patient-Centered Care ; Reproducibility of Results

Background: The prognostic potential of Crohn-like lymphoid reaction (CLR) in colorectal carcinoma (CRC) has been investigated through the assessment of different criteria. Methods: The prognostic impact of CLR was investigated in 636 CRC patients to compare methods from previously published articles. These methods included CLR measured by number of lymphoid aggregates (LAs) (CLR count), LA size greater than or equal to 1 mm (CLR size), CLR density with a cutoff value of 0.38, and subjective criteria as defined by intense CLR. Results: In univariate survival analysis, CLR-positive CRC as defined by the four aforementioned methods was associated with better overall survival (OS) (hazard ratio [HR], 0.463; 95% confidence interval [CI], 0.305 to 0.702; p <.001; HR, 0.656; 95% CI, 0.411 to 1.046; p=.077; HR, 0.363; 95% CI, 0.197 to 0.669; p=.001; and HR, 0.433; 95% CI, 0.271 to 0.690; p<.001, respectively) and disease-free survival (DFS) (HR, 0.411; 95% CI, 0.304 to 0.639; p<.001; HR, 0.528; 95% CI, 0.340 to 0.821; p=.004; HR, 0.382; 95% CI, 0.226 to 0.645, p=.004; and HR, 0.501; 95% CI, 0.339 to 0.741; p<.001, respectively) than CLR-negative CRC, regardless of criteria with the exception of OS for CLR density. In multivariate analysis, two objective criteria (CLR count and CLR density) and one subjective criterion (intense CLR) for defining CLR were considered independent prognostic factors of OS and DFS in CRC patients. Conclusions CLR has similar traits regardless of criteria, but CLR-positivity should be defined by objective criteria for better reproducibility and prognostic value.

OBJECTIVES: We examined the effect of commercial plum beverages on dental erosion and whether the addition of calcium to these beverages would inhibit dental erosion. METHODS: We analyzed three groups as follows: Maesil 1 group (Chorok Maesil), Maesil 2 group (Sunkist plum), both of which were selected from commercially-available plum beverages, and Calcium-added maesil group (addition of 3% calcium to Chorok Maesil). For negative and positive control groups, Jeju Samdasoo and Coca Cola were selected, respectively. The characteristics of the experimental beverages were analyzed, and the specimens were immersed in the experimental beverage. The degree of erosion was measured by Vickers hardness number (VHN) and scanning electron microscope images. RESULTS: Positive control group had the lowest pH (2.50±0.03), followed by Maesil 2 (pH 2.59±0.01), Maesil 1 (pH 2.81±0.02), calcium-added maesil (pH 4.19±0.01), and negative control group (pH 7.57±0.06). Significant differences were found in surface microhardness between positive control, Maesil 1, Maesil 2 and calcium-added maesil group before immersion and at 30 minutes after immersion (P<0.05), and change in VHN (positive control group, −80.94±20.63; Maesil 1 group, −69.33±24.88; and Maesil 2 group, −78.49±18.60 in comparison with negative control group, −6.57±26.73). There was no significant difference (P<0.05) in change in VHN between calcium-added maesil (−13.02±17.33) and negative control group. CONCLUSIONS: Plum beverages can potentially induce dental erosion due to their low pH. However, adding calcium to these beverages can reduce the risk of dental erosion. Therefore, the risk of dental erosion must be considered during consumption of plum beverages, and the addition of calcium into plum beverages may be considered as a way to prevent dental erosion.
Beverages ; Calcium ; Coca ; Cola ; Hardness ; Hydrogen-Ion Concentration ; Immersion ; Prunus domestica

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.