No abstract available.
Pilomatrixoma* ; Vaccination*

No abstract available.
Erythema Multiforme* ; Erythema* ; Pemphigoid, Bullous*

No abstract available.
Humans ; Mycosis Fungoides* ; Spondylitis, Ankylosing* ; Infliximab

No abstract available.
Foot* ; Neuroma*

(-)-Epigallocatechin-3-gallate (EGCG) is a polyphenolic compound found in peen tea leaves, and has been known to be one of the most potent catechin species which inhibits cell growth most possibly through an apoptotic cell death. We investigated the apoptotic activity of (-)-EGCG on the human myeloid leukemia cell line, HL-60. Our results of MTT test indicated that (-)-EGCG had a significant antiproliferation effect in HL-60 cells with IC50 (50% inhibition concentration) value of 65 micrometer. Giemsa statining of HL-60 cells treated with (-)-EGCG (100 micrometer) for 6hrs showed a typical apoptosis-specific morphological change including shrinkage of the cytoplasm, membrane blobbing and compaction of the nuclear chromatin. The DNA fragmentation was observed from the agarose gel electrophoresis of cells treated with (-)-EGCG for 3hrs or longer, and was progressed to a greater degree as treatment time increases. Treatment of the cells with (-)-EGCG (100 micrometer) resulted in a rapid release of mitochondrial cytochrome c into the cytosol, and a subsequent cleavage of caspase-3 to an active form in a treatment-time dependent manner. (-)-EGCG (100 micrometer) also stimulated proteolytic cleavage of poly-(ADP-ribose) polymerase (PARP) to an active form in HL-60 cells. Tlken together, (-)-EGCG appears to induce the apoptosis in human myeloid leukemia cells via a caspase-dependent pathway. These results suggest the possible application of (-)-EGCG, the major active compound in green tea, as an antiproliferative agent for cancer prevention.
Apoptosis* ; Caspase 3 ; Catechin ; Cell Death ; Cell Line ; Chromatin ; Cytochromes c ; Cytoplasm ; Cytosol ; DNA Fragmentation ; Electrophoresis, Agar Gel ; HL-60 Cells* ; Humans ; Hydroxymethylglutaryl-CoA Reductase Inhibitors ; Inhibitory Concentration 50 ; Leukemia, Myeloid ; Membranes ; Tea

No abstract available.
Carcinoma, Basal Cell ; Scrotum

No abstract available.
Cellulitis* ; Dermatitis, Allergic Contact*

Purpose: This study was aimed at investigating the incidence and risk factors of dyslipidemia in menopausal women using a Korean community-based longitudinal study. Methods: The subjects were 245 postmenopausal women without dyslipidemia who had participated in the Ansan-Ansung cohort study from 2001~2002 (baseline) to 2015~2016 (seventh follow-up visit). The dyslipidemia incidence was measured as incidence proportion (%) and incidence rate per 100 person-years. The predictors of developing dyslipidemia were analyzed with Cox’s proportional hazard model. Results: The incidence of new dyslipidemia during the follow-up period was 78.4% (192 patients), and 11.9 per 100 person-years. Mean duration from menopause to developing dyslipidemia was 5.3 years in new dyslipidemia cases. The triglyceride/high density lipoprotein (TG/HDL-C) ratio at baseline (hazard ratio = 2.20; 95% confidence interval = 1.39~3.48) was independently associated with developing dyslipidemia. Conclusion Dyslipidemia occurs frequently in postmenopausal women, principally within five years after menopause. Therefore, steps must be taken to prevent dyslipidemia immediately after menopause, particularly in women with a high TG/HDL-C ratio at the start of menopause.

PURPOSE: This study was done to analyze variations in unit staffing and recommend policies to improve nursing staffing levels in intensive care units (ICUs). METHOD: A cross-sectional study design was used, employing survey data from the Health Insurance Review Agency conducted from June-July, 2003. Unitstaffing was measured using two indicators; bed-to-nurse (B/N) ratio (number of beds per nurse), and patient-to-nurse (P/N)ratio (number of average daily patients per nurse). Staffing levels were compared according to hospital and ICU characteristics. RESULT: A total of 414 institutions were operating 569 adult and 86 neonatal ICUs. Tertiary hospitals (n=42) had the lowest mean B/N (0.82) and P/N (0.76) ratios in adult ICUs, followed by general hospitals (B/N: 1.34, P/N: 0.97). Those ratios indicated that a nurse took care of 3 to 5 patients per shift. Neonatal ICUs had worse staffing and had greater variations in staffing ratios than adult ICUs. About 17% of adult and 26% of neonatal ICUs were staffed only by adjunct nurses who had responsibility for a general ward as well as the ICU. CONCLUSION: Stratification of nurse staffing levels and differentiation of ICU utilization fees based on staffing grades are recommended as a policy tool to improve nurse staffing in ICUs.
Analysis of Variance ; Female ; Humans ; Intensive Care Units/economics/*manpower/statistics & numerical data ; Intensive Care Units, Neonatal/economics/*manpower/statistics & numerical data ; Nursing Staff, Hospital/economics/*supply & distribution ; Personnel Staffing and Scheduling/*economics ; Workload

BACKGROUND: To determine whether multiple short-term surveillances are as effective as long-term surveillance for estimating the incidence rates of nosocomial infections (NIs), we prospectively performed 9-month surveillance in four intensive care units (ICUs). METHODS: NI surveillance was performed prospectively from November 2002 through July 2003, with long-term surveillance performed over the 9-month period, and short-term surveillance performed during the middle 3 weeks of each calendar quarter. The incidence rate of NIs or device-associated infections was calculated as the number of infections per 1,000 patient-days or device-days. RESULTS: We observed no significant differences between the incidence rates of total NIs determined from these two methods (9.6 [CI95 8.2-11.3] vs 10.4 [CI95 7.5-14.4], P=.66). In addition, these two methods did not differ significantly in estimating the rates of ventilator-associated pneumonia (5.1 [CI95 3.4-7.6] vs 7.5 [CI95 3.8-15.0], P=.35), catheter-associated urinary tract infection (2.4 [CI95 1.7-3.4] vs 1.7 [CI95 0.7-4.1], P=.47), and central line-associated bloodstream infection (2.2 [CI95 1.4-3.4] vs 3.7 [CI95 1.9-7.4], P=.21). Plotting of the NI rates showed that the trends in multiple short-term surveillances were similar to those in long-term surveillance, except in one ICU. CONCLUSION: Our findings suggest that multiple short-term surveillances could replace long-term surveillance in estimating the baseline incidence rates of NIs in the circumstances of the relatively large number of patients in the ICUs, which would be especially useful in countries with limited resources.
Cross Infection* ; Epidemiology ; Humans ; Incidence ; Infection Control ; Intensive Care Units ; Pneumonia, Ventilator-Associated ; Prospective Studies ; Urinary Tract Infections