PURPOSE: The prevalence of obesity in children and adolescents has been rising rapidly in Korea because of changes of diet and lifestyle. As with adults, obesity in children and adolescents can cause diabetes mellitus, hyperlipidemia, cardiovascular diseases and renal diseases. The aim of the present study is to examine the relation of obesity, glomerular filtration rate (GFR) and serum cystatin C concentration in children and adolescents. METHODS: Data of 115 children and adolescents aged between 6 years and 20 years without clinical evidence of renal diseases were included in the study. From May 2004 to December 2004, blood samples were collected from children and adolescents who were seen at the Department of Pediatrics at Chungang University Yongsan Hospital. Obesity degrees and body mass indices (BMI) were measured, and GFRs were estimated from Schwartz's formula. Serum cystatin C was measured by particle enhanced nephelometric immunoassay using Behring Nephelometer II. RESULTS: GFRs were significantly different between the obese group (BMI > 95 percentile, 145.79+/-23.10 mL/min) and the non-obese group (BMI < 95 percentile, 134.61+/-26.19 mL/min) divided by BMI (P=0.031). GFRs were not significantly different between the obese group (obesity degree > 120 percent, 144.29+/-23.08 mL/min) and the non-obese group (obesity degree < 120 percent, 134.54+/-26.57 mL/ min) divided by obesity degree (P=0.051), but were significantly different between severe obese group (obesity degree > 150 percent, 155.55+/-20.40 mL/min) and the non-obese group (P=0.004). GFRs were correlated positively with BMI (r2=0.037, P=0.039), but were not correlated significantly with obesity degree (r2=0.030, P=0.066). Serum cystatin C concentrations were not significantly different between the obese group and the non-obese group, divided by BMI as well as by obesity degree (P> 0.05). CONCLUSION: Obesity may lead to an alteration of renal hemodynamics such as hyperfiltration, appropriate control and management for obesity is necessary.
Child ; Adolescent ; Adult ; Male ; Female ; Humans

Objective: To investigate the usefulness of goal attainment scaling (GAS) in intensive stroke rehabilitation during the subacute stage. Methods: Medical records of subacute post-stroke patients who had undergone intensive rehabilitation under hospitalization, before and after the application of GAS, were collected. GAS was conducted at the initial evaluation of each patient. Specific goals were suggested by physical and occupational therapists and were determined by the responsible physiatrist. A 5-point scale was used for the GAS score after 4 weeks of rehabilitation according to the preset criteria of each goal. To evaluate the influence of GAS in rehabilitation practice, functional improvements were compared between two patient groups before (n=121) and after (n=141) GAS. To assess progress in GAS practice, the standard GAS score was calculated, and the changes were observed over a 3-year period. The standard GAS score converged to 50 points when the goal was achieved. The therapists who used GAS also completed a survey regarding its usefulness. Results: There were no statistical differences in the motor and cognitive outcomes of the patient groups before and after applying GAS scoring. Successive yearly changes in the standard GAS scores showed progressive convergence to 50 points, signaling that the patient’s goal-setting abilities improved. According to the survey, most therapists felt that GAS enhanced the quality of therapies (84.6%). Conclusion GAS improved goal-setting for the rehabilitation of subacute post-stroke patients and might have a positive effect on rehabilitation.

Clostridium sordellii is a gram-positive spore forming anaerobic bacillus, rarely encountered in human infection. It produces several exotoxins which contribute to myonecrosis, pulmonary infection, obstetric infection and bacteremia. C. sordellii bacteremia is very rare and has been reported in few patients with malignancy or immunosuppression. To date, there has been no report in Korea. Mortality is high when deep site infection exists regardless of underlying pathology and immune status. In contrast, superficial skin and subcutaneous tissue infection has a favorable prognosis. We present a case of C. sordellii bacteremia in a patient with osteosarcoma. The patient was admitted for the treatment of the infection at the ulcerative osteosarcoma lesions of the leg, and C. sordellii bacteremia was demonstrated. He was successfully treated with intravenous ampicillin/sulbactam for two weeks.
Bacillus ; Bacteremia* ; Clostridium sordellii* ; Clostridium* ; Exotoxins ; Humans ; Immunosuppression ; Korea ; Leg ; Mortality ; Osteosarcoma* ; Pathology ; Prognosis ; Skin ; Spores ; Subcutaneous Tissue ; Ulcer

Clostridium sordellii is a gram-positive spore forming anaerobic bacillus, rarely encountered in human infection. It produces several exotoxins which contribute to myonecrosis, pulmonary infection, obstetric infection and bacteremia. C. sordellii bacteremia is very rare and has been reported in few patients with malignancy or immunosuppression. To date, there has been no report in Korea. Mortality is high when deep site infection exists regardless of underlying pathology and immune status. In contrast, superficial skin and subcutaneous tissue infection has a favorable prognosis. We present a case of C. sordellii bacteremia in a patient with osteosarcoma. The patient was admitted for the treatment of the infection at the ulcerative osteosarcoma lesions of the leg, and C. sordellii bacteremia was demonstrated. He was successfully treated with intravenous ampicillin/sulbactam for two weeks.
Bacillus ; Bacteremia* ; Clostridium sordellii* ; Clostridium* ; Exotoxins ; Humans ; Immunosuppression ; Korea ; Leg ; Mortality ; Osteosarcoma* ; Pathology ; Prognosis ; Skin ; Spores ; Subcutaneous Tissue ; Ulcer

OBJECTIVE: To suggest rotation angles of fluoroscopy that can bypass the carotid sheath according to vertebral levels for cervical transforaminal epidural steroid injection (TFESI). METHODS: Patients who underwent cervical spine magnetic resonance imaging (MRI) from January 2009 to October 2017 were analyzed. In axial sections of cervical spine MRI, three angles to the vertical line (α, angle not to insult carotid sheath; β, angle for the conventional TFESI; γ, angle not to penetrate carotid artery) were measured. RESULTS: Alpha (α) angles tended to increase for upper cervical levels (53.3° in C6-7, 65.2° in C5-6, 75.3° in C4-5, 82.3° in C3-4). Beta (β) angles for conventional TFESI showed a constant value of 45° to 47° (47.5° in C6-7, 47.4° in C5-6, 45.7° in C4-5, 45.0° in C3-4). Gamma (γ) angles increased at higher cervical levels as did α angles (25.2° in C6-7, 33.6° in C5-6, 43.0° in C4-5, 56.2° in C3-4). CONCLUSION: The risk of causing injury by penetrating major vessels in the carotid sheath tends to increase at upper cervical levels. Therefore, prior to cervical TFESI, measuring the angle is necessary to avoid carotid vessels in the axial section of CT or MRI, thus contributing to a safer procedure.
Carotid Arteries ; Fluoroscopy ; Humans ; Jugular Veins ; Magnetic Resonance Imaging ; Needles* ; Spine ; Vascular System Injuries

OBJECTIVE: To evaluate the effectiveness of intensive rehabilitation to support recovery of neurological function after brain tumor surgery and assess long-term satisfaction. METHODS: This retrospective study included patients with neurological impairment after brain tumor surgery who underwent intensive rehabilitation therapy between December 2013 and May 2017. To assess effectiveness of rehabilitation, functional outcomes (motor, cognition, and activities of daily living [ADL]) were compared between brain tumor group and a control group enrolling stroke patients who received equivalent rehabilitation during the study period. Long-term satisfaction with rehabilitation was evaluated by surveying family caregivers. RESULTS: This study included 21 patients with benign brain tumor, 14 with malignant brain tumor, and 108 with stroke. Significant and similar improvement in motor, cognition, and ADL function were noted in both the brain tumor group and the stroke group. Malignancy status did not influence the extent of functional improvement. According to medical records and surveys, 9 (69.2%) patients with malignant tumor and 2 (11.8%) with benign tumor had expired by the time of the survey. Most family caregivers confirmed that rehabilitation was effective for functional improvement (>60%), expressing overall satisfaction and stating they would recommend such therapy to patients with similar conditions (approximately 70%). CONCLUSION: Intensive rehabilitation may help promote functional improvement following brain tumor surgery regardless of malignancy compared with stroke patients. Family caregivers expressed overall satisfaction with rehabilitation at long-term follow-up. These findings support the provision of intensive rehabilitation therapy for neurologic function recovery following brain tumor surgery.
Activities of Daily Living ; Brain Neoplasms ; Brain ; Caregivers ; Cognition ; Follow-Up Studies ; Humans ; Medical Records ; Neurological Rehabilitation ; Pilot Projects ; Recovery of Function ; Rehabilitation ; Retrospective Studies ; Stroke ; Treatment Outcome

BACKGROUND/AIMS: Vascular access dysfunction is an important cause of morbidity and mortality in hemodialysis (HD) patients. Recent studies have shown that a klotho gene mutation is related to endothelial dysfunction, thrombosis, and arteriosclerosis, which are regarded as causes of vascular access dysfunction. We investigated the relationship between the klotho G-395A polymorphism and early dysfunction in vascular access in HD patients. METHODS: Patients who underwent vascular access operations between 1999 and 2002 were enrolled (n=126). Genotyping was performed by allelic discrimination using a 5'-nuclease polymerase chain reaction assay. Clinical data that could be relevant to access dysfunction were obtained from medical records. Early dysfunction of vascular access was defined as the need for any angioplastic or surgical intervention to correct or replace a poorly or nonfunctioning vascular access within 1 year and at least 8 weeks after initial access placement. RESULTS: Of the 126 patients, the genotype frequency of G-395A was 72.2% for GG (n=91), 24.6% for GA (n=31), and 3.2% for AA (n=4), and the frequency of minor allele was 0.155. Clinical data were similar between the two groups, divided according to the status of the A allele. Early dysfunction occurred in 34 (27.0%) of patients, but it occurred at a significantly higher rate in A allele carriers (45.7%, 16/35) than in noncarriers (19.8%, 18/91; p=0.003). CONCLUSIONS: Our results suggest that the klotho G-395A polymorphism could be a risk factor for early dysfunction of vascular access in HD patients.
Aged ; *Arteriovenous Shunt, Surgical ; Catheters, Indwelling ; Cohort Studies ; Female ; Glucuronidase/*genetics ; Humans ; Kidney Failure, Chronic/complications/*genetics/therapy ; Male ; Middle Aged ; Polymorphism, Genetic/*genetics ; Promoter Regions, Genetic/genetics ; *Renal Dialysis ; Vascular Diseases/complications/genetics ; Vascular Patency/*genetics

Background/Aims: The incidence of steatotic liver disease (SLD) is increasing across all age groups as the incidence of obesity increases worldwide. The existing noninvasive prediction models for SLD require laboratory tests or imaging and perform poorly in the early diagnosis of infrequently screened populations such as young adults and individuals with healthcare disparities. We developed a machine learning-based point-of-care prediction model for SLD that is readily available to the broader population with the aim of facilitating early detection and timely intervention and ultimately reducing the burden of SLD. Methods: We retrospectively analyzed the clinical data of 28,506 adults who had routine health check-ups in South Korea from January to December 2022. A total of 229,162 individuals were included in the external validation study. Data were analyzed and predictions were made using a logistic regression model with machine learning algorithms. Results: A total of 20,094 individuals were categorized into SLD and non-SLD groups on the basis of the presence of fatty liver disease. We developed three prediction models: SLD model 1, which included age and body mass index (BMI); SLD model 2, which included BMI and body fat per muscle mass; and SLD model 3, which included BMI and visceral fat per muscle mass. In the derivation cohort, the area under the receiver operating characteristic curve (AUROC) was 0.817 for model 1, 0.821 for model 2, and 0.820 for model 3. In the internal validation cohort, 86.9% of individuals were correctly classified by the SLD models. The external validation study revealed an AUROC above 0.84 for all the models. Conclusions As our three novel SLD prediction models are cost-effective, noninvasive, and accessible, they could serve as validated clinical tools for mass screening of SLD.

Background/Aims: The incidence of steatotic liver disease (SLD) is increasing across all age groups as the incidence of obesity increases worldwide. The existing noninvasive prediction models for SLD require laboratory tests or imaging and perform poorly in the early diagnosis of infrequently screened populations such as young adults and individuals with healthcare disparities. We developed a machine learning-based point-of-care prediction model for SLD that is readily available to the broader population with the aim of facilitating early detection and timely intervention and ultimately reducing the burden of SLD. Methods: We retrospectively analyzed the clinical data of 28,506 adults who had routine health check-ups in South Korea from January to December 2022. A total of 229,162 individuals were included in the external validation study. Data were analyzed and predictions were made using a logistic regression model with machine learning algorithms. Results: A total of 20,094 individuals were categorized into SLD and non-SLD groups on the basis of the presence of fatty liver disease. We developed three prediction models: SLD model 1, which included age and body mass index (BMI); SLD model 2, which included BMI and body fat per muscle mass; and SLD model 3, which included BMI and visceral fat per muscle mass. In the derivation cohort, the area under the receiver operating characteristic curve (AUROC) was 0.817 for model 1, 0.821 for model 2, and 0.820 for model 3. In the internal validation cohort, 86.9% of individuals were correctly classified by the SLD models. The external validation study revealed an AUROC above 0.84 for all the models. Conclusions As our three novel SLD prediction models are cost-effective, noninvasive, and accessible, they could serve as validated clinical tools for mass screening of SLD.

Background/Aims: The incidence of steatotic liver disease (SLD) is increasing across all age groups as the incidence of obesity increases worldwide. The existing noninvasive prediction models for SLD require laboratory tests or imaging and perform poorly in the early diagnosis of infrequently screened populations such as young adults and individuals with healthcare disparities. We developed a machine learning-based point-of-care prediction model for SLD that is readily available to the broader population with the aim of facilitating early detection and timely intervention and ultimately reducing the burden of SLD. Methods: We retrospectively analyzed the clinical data of 28,506 adults who had routine health check-ups in South Korea from January to December 2022. A total of 229,162 individuals were included in the external validation study. Data were analyzed and predictions were made using a logistic regression model with machine learning algorithms. Results: A total of 20,094 individuals were categorized into SLD and non-SLD groups on the basis of the presence of fatty liver disease. We developed three prediction models: SLD model 1, which included age and body mass index (BMI); SLD model 2, which included BMI and body fat per muscle mass; and SLD model 3, which included BMI and visceral fat per muscle mass. In the derivation cohort, the area under the receiver operating characteristic curve (AUROC) was 0.817 for model 1, 0.821 for model 2, and 0.820 for model 3. In the internal validation cohort, 86.9% of individuals were correctly classified by the SLD models. The external validation study revealed an AUROC above 0.84 for all the models. Conclusions As our three novel SLD prediction models are cost-effective, noninvasive, and accessible, they could serve as validated clinical tools for mass screening of SLD.