1.The Relationship Between Cholesterol Level and Mortality in Korean Women.
Yun Mi SONG ; Joo Hon SUNG ; Jai Jun BYEON ; Joung Soon KIM ; Oh Young PARK
Korean Journal of Epidemiology 1997;19(2):131-146
BACKGROUND: There were many efforts to evaluate the relationship between cholesterol and mortality. But almost all of them have been performed on male western people who have higher mean cholesterol concentration than oriental people and have different disease pattern from women's. So, upto now, the relationship of cholesterol to mortality in women with low cholesterol concentration was not well known. We carried out this study to investigate the relationship in Korea women whose mean cholesterol level was lower than that of western people and men. METHOD: Study subjects included in were 100,363 Korean women aged 30-65 years. They undertook multiphasic health examination provided by Korea Medical Insurance Corporation between March 1990 and July 1990, and had no history of cancer and no significant medical illnesses which could change blood cholesterol level. Study subjects were followed for 5.5 years until December 1995 and it was determined whether each subject was dead or alive using the mortality data from the Korea National Statistical office and the Korea Medical Insurance Corporation. Nonlinear ralationship between serum total cholesterol and mortality was investigated with the use of quadratic regression and with dummy variables using the 158-180mg/dl group as the comparison group. To analyzing the relationship between cholesterol concentra-tion and mortality with controlling for age, smoking, alcohol drinking, exercise, diastolic blood pressure, body mass index, pay level, Cox propor-tional hazard model was used. RESULT: During the follow-up period, there were 369 deaths. Mean cholesterol concentration of study subjects was 182.8mg/dl There was no significant association between serum cholesterol and total mortality, but women with cholesterol concentrations below 130mg/dl showed slightly increased risk of death(RR=1.20). Cholesterol had an inverse relationship with mortality from stroke, and women with cholesterol concentrations below 130mg/dl had higher risk of death from stroke(RR=3.28). Although there was no statistical significance,risk of mortality from hemorrhagic stroke in women with very low cholesterol concentration was markedly higher than in women with cholesterol concentrations above 130mg/dl. Mortality relationship with cholesterol. And women with cholesterol concentrations higher than 203mg/dl had abruply increased risk for death from ischemic heart disease. CONCLUSION: Through this study, we could observe an inverse J shaped relationship between cholesterol concentration and mortality in Korean women. The increased risk of mortality from hemorrhagic stroke in people with very low cholesterol concentration supports the previous report which proposed low cholesterol level as a significant risk factor of hemorrhagic stroke. In spite of the lack of statistical signi-ficance, greately increased risk of mortality from ischemic heart disease in people with cholesterol higher than 203mg/dl suggests that cholesterol concentration at the upper end of distribution can be a significant risk factor of ischemic heart disease in women.
Alcohol Drinking
;
Blood Pressure
;
Body Mass Index
;
Cholesterol*
;
Female
;
Follow-Up Studies
;
Humans
;
Insurance
;
Korea
;
Male
;
Mortality*
;
Myocardial Ischemia
;
Proportional Hazards Models
;
Risk Factors
;
Smoke
;
Smoking
;
Stroke
2.Clinical implication of altered expression of Mad1 protein in human breast cancer.
Sehwan HAN ; Kyeong mee PARK ; Hong Yong KIM ; Myung Soo LEE ; Hon Joo KIM ; Young Duck KIM ; Young Jin YUH ; Sung Rok KIM ; Hyun Suk SUH
Journal of Korean Breast Cancer Society 2000;3(2):152-161
BACKGROUND: Mad1 protein is known to repress Myc target genes and antagonize Myc function. We underwent this study to investigate the clinical implication of Mad1 expression in human breast cancer. MATERIALS AND METHODS: We performed immunohistochemical assay for Mad1 protein together with Myc in human brest cancer, along with tissues from normal and benign diseases. The data from protein assay were merged with clinical and biologic parameters of the patients. RESULTS: Of 66 patients with invasive ductal cancer, Mad1 expression was detected in 22(33.3%). Intensity and area of Mad1 expression significantly decreased in DCIS and invasive cancers while high levels of Mad1 expression were persistent in benign breast lesions. Mad1 expression was significantly reduced in poorly differentiated tumors(P<0.001). Expression of Mad1 was not associated with tumor size, lymph node status, and stage of the disease. We could not observe any correlation between S-phase and expression status of Myc or Mad1. Mad1 expression was closely linked to differentiation of the cancer cells and inversely correlated with Myc expression(P=0.042). In survival analysis, Mad1 possessed a prognostic significance to predict recurrence of the disease but not overall survival after CMF chemotherapy. CONCLUSIONS: In human breast cancer cells, expression of Mad1 seems to be downregulated while expression of Myc is amplified. Altered expression of Mad1 may play a role in malignant transformation of human mammary epithelial cells and represent an aggressive phenotype in human breast cancer.
Breast Neoplasms*
;
Breast*
;
Carcinoma, Intraductal, Noninfiltrating
;
Drug Therapy
;
Epithelial Cells
;
Humans*
;
Lymph Nodes
;
Phenotype
;
Prognosis
;
Recurrence
3.Noise-Induced Temporary Threshold Shift and its Recovery in Industry.
Soo Hun CHO ; Mi Na HA ; Sang Hwan HAN ; Young Soo JOO ; Ju Hon SUNG ; Jong Won KANG ; Dork Ro YUN ; Bong Bin SONG ; Myung Hag LEE ; Seon Tae KIM
Korean Journal of Occupational and Environmental Medicine 1996;8(2):320-329
To determine the recovery time from noise-induced temporary threshold shift (TTS), a prospective field study was conducted at three worksites where workers are known to be exposed high level of noise. Subjects were selected according to answers on a questionnaire which inquired about otological history and previous noise exposure, including avocational, military and occupational exposures. After excluding employees with past otologic problems, recent exposure to high level noise, and under medications, total 92 employees participated in the study. Among 92 participants, complete consecutive audiometric examinations were carried out at 0~2 hours, 5~7 hours, 14~16 hours after worktime noise exposure on 26 participants wearing hearing protectors and 22 participants wearing no protective devices. The difference between the hearing level 0~2 hours after noise exposure and 5~7 hours is statistically significant by paired t-test(p<0.01). The median recovery times calculated from the data of 22 participants wearing no protective hearing devices are 15.6 hours at 4000 Hz, and 7.7 hours, 10.3 hours, 8.4 hours at 1000 Hz, 2000 Hz and 8000 Hz respectively. These data suggest that when measuring the pure tone audiometry for noise exposed workers, at least 16 hours noise-free interval is required.
Audiometry
;
Hearing
;
Hearing Loss, Noise-Induced
;
Humans
;
Military Personnel
;
Noise
;
Occupational Exposure
;
Prospective Studies
;
Protective Devices
;
Questionnaires
;
Workplace
4.Noise-Induced Temporary Threshold Shift and its Recovery in Industry.
Soo Hun CHO ; Mi Na HA ; Sang Hwan HAN ; Young Soo JOO ; Ju Hon SUNG ; Jong Won KANG ; Dork Ro YUN ; Bong Bin SONG ; Myung Hag LEE ; Seon Tae KIM
Korean Journal of Occupational and Environmental Medicine 1996;8(2):320-329
To determine the recovery time from noise-induced temporary threshold shift (TTS), a prospective field study was conducted at three worksites where workers are known to be exposed high level of noise. Subjects were selected according to answers on a questionnaire which inquired about otological history and previous noise exposure, including avocational, military and occupational exposures. After excluding employees with past otologic problems, recent exposure to high level noise, and under medications, total 92 employees participated in the study. Among 92 participants, complete consecutive audiometric examinations were carried out at 0~2 hours, 5~7 hours, 14~16 hours after worktime noise exposure on 26 participants wearing hearing protectors and 22 participants wearing no protective devices. The difference between the hearing level 0~2 hours after noise exposure and 5~7 hours is statistically significant by paired t-test(p<0.01). The median recovery times calculated from the data of 22 participants wearing no protective hearing devices are 15.6 hours at 4000 Hz, and 7.7 hours, 10.3 hours, 8.4 hours at 1000 Hz, 2000 Hz and 8000 Hz respectively. These data suggest that when measuring the pure tone audiometry for noise exposed workers, at least 16 hours noise-free interval is required.
Audiometry
;
Hearing
;
Hearing Loss, Noise-Induced
;
Humans
;
Military Personnel
;
Noise
;
Occupational Exposure
;
Prospective Studies
;
Protective Devices
;
Questionnaires
;
Workplace
5.Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2009 through June 2010.
Yee Gyung KWAK ; Yong Kyun CHO ; Jin Yong KIM ; Mi Suk LEE ; Hyo Youl KIM ; Young Keun KIM ; Eun Suk PARK ; Hye Young JIN ; Hong Bin KIM ; Eu Suk KIM ; Sun Young JEONG ; Joong Sik EOM ; Sung Ran KIM ; Ji Young LEE ; Hae Kyung HONG ; Joo Hon SUNG ; Young UH ; Yeong Seon LEE ; Hee Bok OH ; Eui Chong KIM
Korean Journal of Nosocomial Infection Control 2011;16(1):1-12
BACKGROUND: In this report, we present the annual data of the intensive care unit (ICU) module of the Korean Nosocomial Infections Surveillance System (KONIS) from July 2009 through June 2010. METHODS: We performed a prospective surveillance of nosocomial urinary tract infections (UTIs), bloodstream infections (BSIs), and pneumonia (PNEU) at 116 ICUs in 63 hospitals by using KONIS. Nosocomial infection (NI) rates were calculated as the number of infections per 1,000 patient-days or device-days. RESULTS: We identified 3,965 NIs during the study period: 2,156 cases of UTIs (2,119 were urinary catheter-associated), 1,110 cases of BSIs (948 were central line-associated), and 699 cases of PNEU (410 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTIs) was 4.75 cases per 1,000 device-days (95% confidence interval, 4.55-4.95), and urinary catheter utilization ratio was 0.86 (range, 0.859-0.861). The rate of central line-associated BSIs was 3.28 (range, 3.07-3.49), and the utilization ratio was 0.56 (range, 0.559-0.561). The rate of ventilator-associated PNEUs (VAPs) was 1.95 (range, 1.77-2.15), and the utilization ratio was 0.41 (range, 0.409-0.411). Although ventilator utilization ratio was lower in the hospitals with 400-699 beds than in the hospitals with 700-899 beds and more than 900 beds, the rate of VAPs were higher in the hospitals with 400-699 beds than in hospitals with 700-899 beds and more than 900 beds. The incidence of infections due to imipenem-resistant Acinetobacter baumannii increased from 43.6% to 82.5% since July 2006. CONCLUSION: The risk of acquiring VAP and CAUTI is highest in the ICUs of hospitals with 400-699 beds than that in hospitals with more beds. Imipenem-resistant A. baumannii was identified as an emerging gram-negative pathogen of nosocomial infections.
Acinetobacter baumannii
;
Cross Infection
;
Incidence
;
Critical Care
;
Intensive Care Units
;
Pneumonia
;
Urinary Catheters
;
Urinary Tract Infections
;
Ventilators, Mechanical
6.Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2010 through June 2011.
Min Hyok JEON ; Wan Beom PARK ; Sung Ran KIM ; Hee Kyung CHUN ; Su Ha HAN ; Ji Hwan BANG ; Eun Suk PARK ; Sun Young JEONG ; Joong Sik EOM ; Young Keun KIM ; Hong Bin KIM ; Kil Yeon LEE ; Hee Jung CHOI ; Hyo Youl KIM ; Kyung Mi KIM ; Joo Hon SUNG ; Young UH ; Heoung Soo CHUNG ; Jun Wook KWON ; Jun Hee WOO
Korean Journal of Nosocomial Infection Control 2012;17(1):28-39
BACKGROUND: We present here the annual data of the intensive care unit (ICU) module of the Korean Nosocomial Infections Surveillance System (KONIS) from July 2010 through June 2011. METHODS: We performed a prospective surveillance of nosocomial urinary tract infections (UTI), bloodstream infections (BSI), and pneumonia (PNEU) at 130 ICUs in 72 hospitals using KONIS. Nosocomial infection (NI) rates were calculated as the number of infections per 1,000 patient-days or device-days. RESULTS: A total of 3,757 NIs were found: 1,978 UTIs (1,949 cases were urinary catheter-associated), 1,092 BSIs (with 932 being central line-associated), and 687 PNEUs (410 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTIs) was 3.87 cases per 1,000 device-days (95% confidence interval, 3.70-4.05), and the urinary catheter utilization ratio was 0.86 (0.859-0.861). The rate of central line-associated BSIs was 3.01 per 1,000 device-days (2.82-3.21), and the utilization ratio was 0.53 (0.529-0.531). The rate of ventilator-associated PNEUs (VAPs) was 1.75 per 1,000 device-days (1.59-1.93), and the utilization ratio was 0.40 (0.399-0.401). Although both the ventilator utilization ratiosand the urinary catheter utilization ratios were lower in hospitals with 400-699 beds than thosein hospitals with 700-899 beds ormore than 900 beds, the rates of VAPsand CAUTIs were higher in hospitals with 400-699 beds than thosein hospitals with 700-899 beds or more than 900 beds. CONCLUSION: The risk of acquiring VAP and CAUTI is higher in the ICUs of 400-699 bed hospitals than in ICUs oflarger hospitals. Therefore, ongoing targeted surveillance and implementation of proven infection control strategies are needed especially for hospitals having fewer than 700 beds.
Benzamides
;
Cross Infection
;
Infection Control
;
Critical Care
;
Intensive Care Units
;
Pneumonia
;
Prospective Studies
;
Urinary Catheters
;
Urinary Tract Infections
;
Ventilators, Mechanical
7.Current Status of Multicenter Cancer Cohort Study with Biological Materials Bank in Korea.
Keun Young YOO ; Hai Rim SHIN ; Song Hun CHANG ; Jung Myung CHOI ; Chang Yup KIM ; Kun Sei LEE ; Won Jin LEE ; Dae Hee KANG ; Sun Min KIM ; Bu Ok LEE ; Duck Hee LEE ; Sue Kyung PARK ; Joo Hon SUNG ; Yeong Su JU ; Dae Sung KIM ; Jong Won KANG ; Soo Hun CHO
Korean Journal of Epidemiology 1998;20(2):275-278
This cohort study is a collaborative effort of 8 institutions. The goal is to establish a large scale cohort that can be followed for 10 or more years to assess the relationship between life-styles and cancer occurrence, and to evaluate the role of environmental exposures in the development of six major sites of cancers(stomach, liver, lung, colorectum, uterine cervix and female breast) in the rural population. Since 1993, 11,304 men and women aged over 35 living in four areas have been recruited. The number of target population is 30,000 persons, which is expected to be successfully recruited until 1999. Each subject has completed a detailed questionnaire on general life-styles, reproductive factors, and agricultural chemical exposures through the interview. Anthropometric measurements with body fat composition and the routine clinical laboratories were examined. For the cancer-free cohort, physical examination by the physicians and serologic tests for hepatitis markers, some tumor markers, and lipid profile have been done, but not all. In order to provide an opportunity to incorporate barious biomarkers of exposure and effect as well as genetic susceptibility, a biologic tissue bank has been established from blood and urine sample(plasma, WBC buffy-coat, RBC clots, and urine supernatant) stored at-70degrees C. Re-examination of changes in exposere to risk factors will be done periodically. Disease occurrence will be ascertained by the active(mainly through diagnosis by physicians) and the passive surveillance(through both death certificate and screening of medical utilization records).
Adipose Tissue
;
Biomarkers
;
Cervix Uteri
;
Cohort Studies*
;
Death Certificates
;
Diagnosis
;
Environmental Exposure
;
Female
;
Genetic Predisposition to Disease
;
Health Services Needs and Demand
;
Hepatitis
;
Humans
;
Korea*
;
Liver
;
Lung
;
Male
;
Mass Screening
;
Physical Examination
;
Risk Factors
;
Rural Population
;
Serologic Tests
;
Tissue Banks
;
Biomarkers, Tumor
;
Surveys and Questionnaires