In clinical practice, creatinine clearance (Ccr) remains the most commonly used laboratory assessment of glomerular function despite methodological and technical problems of urine collection. Schwartz et al. in 1976, reported that an accurate estimate of glomerular filtration rate (GFR) could be obtained from the simple determinations of plasma creatinine (Per) and body length (L): GFR (ml/min/1.73m2)=kL (cm)/Per (mg/100 ml), (k=constant). The subject of this study were 81 children admitted to our pediatric department from July, 1985 to June, 1987 and they were divided into three groups; group I, from 1 to 5 years old, group II, from 6 to 10 years old, group III, from 11 to 15 years old. The results were as following: 1) Measured creatinine clearance Ccr(M), ml/min/1.73m²) were 109.73±9.97 in group I, 108.26±9.02 in group II, 96.20±4.72 in group III and 105.48±5.23 in all age group. 2) Measured k(k(M)) obtained from CcrM=k Ht/Pcr were 0.49±0.03 in group I, 0.48±0.02 in group II, 0.43±0.02 in group III, and 0.47±0.02 in all age group (Ht; height). 3) Linear equations and correlation coefficient between Ht/Pcr (x) and Ccr (y) were y=0.82x-65.63 (r=0.99) in group I, y=0.61x-23.46(r=0.72) in group II, y=0.18x+54.44 (r=0.54) in group III and y=0.58x-22.13 (r=0.81) in all age group. 4) Ccr(E) was again estimated from linear equations between Ht/Pcr and Ccr(M) and k(E) was calculated with Ht/Pcr and Ccr(E) were 0.48±0.01 in group I, 0.49±0.01 in group II, 0.43±0.01 in group III and 0.47±0.00 in all age group. 5) Consistent values of k(E) and k(M) were highly significant as 95~97.5% in group I and II, 90~95% in group III and 97.5~99% in all age group. In summary, we could estimate GFR with height, plasma creatinine and measured k(k(M)) according to the age in easy and rapid way.
Child* ; Creatinine* ; Glomerular Filtration Rate* ; Humans ; Plasma* ; Urine Specimen Collection

Mass electrocardiographic (ECG) examination was performed on 13,801 children (male 7,526 and female 6,275) of elementary and middle school in Taegu from May 1. 1986. to April 30. 1987. We read their ECG according to the “pediatric Electrocardiography”1) The results were as following: The incidence of ECG abnormality was 1.05% (male 1.3% and female 0.75%). Fifty eight children (0.42%) had atrial and ventricular hypertrophy; two right atrial hypertrophy, five left atrial hypertrophy, thirty five right ventricular hypertrophy and sixteen left ventricular hypertrophy respectively. Ectopic beats occurred in 25 children (0.18%); They were atrial in 12 children, ventricular in 8 children and junctional in 5 children. There were 62 children (0.45%) of conduction disturbance; They were first degree atrioventricular (A-V) block in 21 children, type I second degree A-V block in 1 child, A-V dissociation in 1 child, right, right bundle branch block in 36 children, left bundle branch block in 1 child and WPW syndrome in 2 children. Nonspecific ST, T changes and sinus tachycardia were found in 3 and one children respectively.
Bundle-Branch Block ; Child* ; Daegu ; Electrocardiography* ; Female ; Heart Block ; Humans ; Hypertrophy ; Hypertrophy, Left Ventricular ; Hypertrophy, Right Ventricular ; Incidence ; Tachycardia, Sinus ; Wolff-Parkinson-White Syndrome

Neuroglial cells are fundamental for brain homeostasis and defense to intrinsic or extrinsic changes. Loss of their function and overreactivity to stimuli contribute to the aging of brain. Alzheimer's disease (AD) could be caused by more dramatic response in neuroglia associated with various chemokines and cytokines. Neuroglia of the AD brain shares some phenotypes with aging neuroglia. In addition, neuroglial activation and neuroinflammation are commonly showed in neurodegeneration. Thus neuroglia would be a promising target for therapeutics of AD.
Aging ; Alzheimer Disease* ; Astrocytes ; Brain ; Chemokines ; Cytokines ; Homeostasis ; Microglia ; Neuroglia* ; Phenotype

Objective: Among old adults, caring for a spouse with cognitive decline is well-known to be associated with significant risk to the caregiver’s health such as cardiovascular disease, depression and, especially, cognitive impairment. It is important to understand the caregiving-related risk factors for caregiver’s cognitive decline. Therefore, in this study, we examined the impact of caregiver’s burden on the modifiable lifestyle factors influencing cognitive decline among spousal caregivers (SCGs), focusing on nutritional status which contribute to SCG’s cognitive decline. Methods: A total of 44 subjects were included in the analysis. As clinical assessment, we evaluated the care burden (Zarit Burden Interview), depression (Geriatric Depression Scale), sleep quality (Pittsburgh Sleep Quality Index), cognitive function (Mini-Mental State Examination, MMSE) physical activity (International Physical Activity Questionnaire), and nutritional status (Mini Nutritional Assessment). Results: High Neuropsychiatric Inventory (NPI) score and low MMSE score were significantly correlated with increased care burden. The SCG’s caregiving burden was significantly associated with the risk of malnutrition and increased level of depressed mood. These significant relationships unchanged even after adjusting for care-recipient’s MMSE or NPI score. Conclusion This study provides substantial evidence that SCGs of cognitive impairment are at risk for depression and malnutrition, which can further affect cognitive decline. As such, these factors should be well assessed and monitored among SCGs for patient with cognitive impairment.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

OBJECTIVE: This study aimed to explore the effect of cognitive function, social activity participation and social support on quality of life (QoL) of community-dwelling elderly. METHODS: The data on 194 elderly were selected from the nationwide community cohort named Korean Longitudinal Study on Cognitive Aging and Dementia. All subjects were assessed QoL-Alzheimer's Disease (QoL-AD), Cumulative Illness Rating Scale, exercise habit, Mini-Mental State Examination, social activities, The Medical Outcomes Study-Social Support Survey. The data were analyzed with SPSS WIN V. 21.0 program. RESULTS: The mean of QoL among community-dwelling elderly was 35.49 (24–46) for QoL measured by QoL-AD. The variables of professional, residence status, physical health, exercise, cognitive function, social activity participation and social support explained 29.3% of variance in QoL of community-dwelling elderly. Among these factors, the significant predictors of QoL were social support (β=0.322, p<0.001), cognitive function (β=0.152, p=0.021), and religion activity (β=0.152, p=0.025). CONCLUSION: The study suggests that the focus of intervention program should be on cognitive function and social activity participation to improve QoL for elderly. Improving cognitive function and social activity will lead to the network of social support, consequently to increase QoL for elderly living in the community.
Aged* ; Aging ; Cohort Studies ; Dementia ; Humans ; Longitudinal Studies ; Quality of Life*

OBJECTIVE: The Delirium Motor Subtype Scale (DMSS) is a validated and reliable instrument developed from various methods previously used to assess delirium motor subtypes. It focuses on pure motor disturbances with a relative specificity for delirium. The aim of this study was to investigate the validity and reliability of a Korean version of the DMSS (K-DMSS). METHODS: We recruited 145 patients who were older than 60 years and had been referred for psychiatric consultation for delirium. These patients were evaluated using the K-DMSS, Liptzin & Levkoff criteria, and the Korean version of the Delirium Rating Scale-Revised-98 (K-DRS-R98) to compare delirium motor subtypes. RESULTS: The internal consistency of the K-DMSS in assessing delirium motor subtypes was acceptable (Cronbach's alpha=0.79). Delirium motor subtypes identified with the K-DMSS and K-DRS-R98 showed almost perfect agreement (Cohen's Kappa=0.81), while those identified with the K-DMSS and Liptzin & Levkoff criteria showed substantial agreement (Cohen's Kappa=0.78). CONCLUSION: Our results suggest that the K-DMSS is a valid and reliable tool for identifying delirium subtypes.
Delirium ; Humans ; Reproducibility of Results ; Sensitivity and Specificity