• 제목/요약/키워드: Mortality Prediction

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BEIR V 방법을 이용한 한국인의 방사선에 의한 암사망 예측 (Prediction of Fatal Radiation-Induced Cancer for Korean Using the BEIR V Method)

  • 황원태;한문희;조규성
    • Journal of Radiation Protection and Research
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    • 제21권3호
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    • pp.175-182
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    • 1996
  • BEIR V 방법을 사용하여 한국인이 단일 및 연속 방사선피폭을 받았을 경우 일생동안 방사선에 의한 암사망을 평가하였다. 단일피폭시 지배적으로 나타나는 암은 젊은층 피폭의 경우는 소화기암, 노령층피폭의 경우는 호흡기 암이었다. 한국인 모든 집단이 피폭받았을 경우, 지배적으로 나타나는 암은 소화기 암이었다. 출생에서 사망까지 1mGy/yr의 피폭을 연속적으로 받았을 경우, 방사선에 의한 모든 암의 발생은 자연 암발생의 3% 정도였다.

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Molecular Markers in Sex Differences in Cancer

  • Shin, Ji Yoon;Jung, Hee Jin;Moon, Aree
    • Toxicological Research
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    • 제35권4호
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    • pp.331-341
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    • 2019
  • Cancer is one of the common causes of death with a high degree of mortality, worldwide. In many types of cancers, if not all, sex-biased disparities have been observed. In these cancers, an individual's sex has been shown to be one of the crucial factors underlying the incidence and mortality of cancer. Accumulating evidence suggests that differentially expressed genes and proteins may contribute to sex-biased differences in male and female cancers. Therefore, identification of these molecular differences is important for early diagnosis of cancer, prediction of cancer prognosis, and determination of response to specific therapies. In the present review, we summarize the differentially expressed genes and proteins in several cancers including bladder, colorectal, liver, lung, and nonsmall cell lung cancers as well as renal clear cell carcinoma, and head and neck squamous cell carcinoma. The sex-biased molecular differences were identified via proteomics, genomics, and big data analysis. The identified molecules represent potential candidates as sex-specific cancer biomarkers. Our study provides molecular insights into the impact of sex on cancers, suggesting strategies for sex-biased therapy against certain types of cancers.

Long-Term Outcome of Chronic Obstructive Pulmonary Disease: A Review

  • Jo, Yong Suk
    • Tuberculosis and Respiratory Diseases
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    • 제85권4호
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    • pp.289-301
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    • 2022
  • Chronic obstructive pulmonary disease (COPD) is a chronic airway inflammation characterized by fixed airflow limitation and chronic respiratory symptoms, such as cough, sputum, and dyspnea. COPD is a progressive disease characterized by a decline in lung function. During the natural course of the disease, acute deterioration of symptoms leading to hospital visits can occur and influence further disease progression and subsequent exacerbation. Moreover, COPD is not only restricted to pulmonary manifestations but can present with other systemic diseases as comorbidities or systemic manifestations, including lung cancer, cardiovascular disease, pulmonary hypertension, sarcopenia, and metabolic abnormalities. These pulmonary and extrapulmonary conditions lead to the aggravation of dyspnea, physical inactivity, decreased exercise capacity, functional decline, reduced quality of life, and increased mortality. In addition, pneumonia, which is attributed to both COPD itself and an adverse effect of treatment (especially the use of inhaled and/or systemic steroids), can occur and lead to further deterioration in the prognosis of COPD. This review summarizes the long-term outcomes of patients with COPD. In addition, recent studies on the prediction of adverse outcomes are summarized in the last part of the review.

중환자 중증도 평가도구의 타당도 평가 - APACHE III, SAPS II, MPM II (Comparing the Performance of Three Severity Scoring Systems for ICU Patients: APACHE III, SAPS II, MPM II)

  • 권영대;황정해;김은경
    • Journal of Preventive Medicine and Public Health
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    • 제38권3호
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    • pp.276-282
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    • 2005
  • Objectives : To evaluate the predictive validity of three scoring systems; the acute physiology and chronic health evaluation(APACHE) III, simplified acute physiology score(SAPS) II, and mortality probability model(MPM) II systems in critically ill patients. Methods : A concurrent and retrospective study conducted by collecting data on consecutive patients admitted to the intensive care unit(ICU) including surgical, medical and coronary care unit between January 1, 2004, and March 31, 2004. Data were collected on 348 patients consecutively admitted to the ICU(aged 16 years or older, no transfer, ICU stay at least 8 hours). Three models were analyzed using logistic regression. Discrimination was assessed using receiver operating characteristic(ROC) curves, sensitivity, specificity, and correct classification rate. Calibration was assessed using the Lemeshow-Hosmer goodness of fit H-statistic. Results : For the APACHE III, SAPS II and MPM II systems, the area under the receiver operating characterist ic(ROC) curves were 0.981, 0.978, and 0.941 respectively. With a predicted risk of 0.5, the sensitivities for the APACHE III, SAPS II, and MPM II systems were 81.1, 79.2 and 71.7%, the specificities 98.3, 98.6, and 98.3%, and the correct classification rates 95.7, 95.7, and 94.3%, respectively. The SAPS II and APACHE III systems showed good calibrations(chi-squared H=2.5838 p=0.9577 for SAPS II, and chi-squared H=4.3761 p=0.8217 for APACHE III). Conclusions : The APACHE III and SAPS II systems have excellent powers of mortality prediction, and calibration, and can be useful tools for the quality assessment of intensive care units(ICUs).

Charlson Comorbidity Index를 활용한 폐암수술환자의 건강결과 예측에 관한 연구 (Health Outcome Prediction Using the Charlson Comorbidity Index In Lung Cancer Patients)

  • 김세원;윤석준;경민호;윤영호;김영애;김은정;김경운
    • 보건행정학회지
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    • 제19권4호
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    • pp.18-32
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    • 2009
  • The goal of this study was to predict the health outcomes of lung cancer surgery based on the Charlson comorbidity index (CCI). An attempt was likewise made to assess the prognostic value of such data for predicting mortality, survival rate, and length of hospital stay. A medical-record review of 389 patients with non-small-cell lung cancer was performed. To evaluate the agreement, the kappa coefficient was tested. Logistic-regression analysis was also conducted within two years after the surgery to determine the association of CCI with death. Survival and multiple-regression analyses were used to evaluate the relationship between CCI and the hospital care outcomes within two-year survival after lung cancer surgery and the length of hospital stay. The results of the study showed that CCI is a valid prognostic indicator of two-year mortality and length of hospital stay, and that it shows the health outcomes, such as death, survival rate, and length of hospital stay, after the surgery, thus enabling the development and application of the methodology using a systematic and objective scale for the results.

댐 붕괴 홍수로 인한 하류부 인명피해 예측 (Prediction of Loss of Life in Downstream due to Dam Break Flood)

  • 이재영;이종석;김기영
    • 한국수자원학회논문집
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    • 제47권10호
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    • pp.879-889
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    • 2014
  • 본 연구에서는 기왕의 댐 붕괴사례와 인명손실 결정인자들의 분석으로부터 유도된 상관관계를 이용하여 댐 붕괴 홍수파의 특성이 고려된 인명피해 예측을 위해 미국의 LIFESim 모형에 적용된 인명손실 모듈과 유럽연합에서 제시한 사망률 함수에 의한 인명손실 추정기법이 제시되었다. 극한 홍수조건(PMF)하에서 댐 붕괴로 인한 대상 지점의 수심, 유속 및 홍수도 달시간 등과 같은 홍수특성치는 1차원 수리학적 모형인 FLDWAV에 의해 모의되었으며 범람수심을 이용하여 홍수취약 지역을 예측하였다. 이를 바탕으로 경보, 대피 및 피난처에 대한 가능성을 고려함으로써 홍수위험에 노출된 인구수를 추정하였다. 이러한 홍수위험 노출인구에 대한 사망률(치사율)을 추정하기 위해 홍수위험지역을 상이한 지대로 세분하여 지대별 치사율 또는 사망률 함수를 결정하였으며 이로부터 최종적인 사망자수를 예측하였다. 본 연구를 통해 제시된 댐 붕괴홍수의 인명피해 예측기법은 향후 확률론적 홍수 시나리오에 적용하여 하류부의 홍수위험도를 정량적으로 평가하고 저감대책을 수립하는데 활용될 수 있다.

ST 분절 급상승 심근경색 환자들의 단기 재발 사망 예측 (Short-term Mortality Prediction of Recurrence Patients with ST-segment Elevation Myocardial Infarction)

  • 임광현;류광선;박수호;손호선;류근호
    • 한국컴퓨터정보학회논문지
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    • 제17권10호
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    • pp.145-154
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    • 2012
  • 현대 사회는 서구화된 식생활 패턴과 흡연, 비만 등의 원인으로 인해 심혈관계 질환들이 급증하고 있다. 특히, 급성심근경색은 심혈관계 질환으로 인한 사망의 대부분을 차지하고 있다. 이러한 추세에 따라 해외 선진국에서는 임상생리학적 오류를 줄이기 위해서 자국민의 데이터를 기반으로 급성심근경색의 발병 및 질병에 영향을 미치는 위험인자를 찾는 연구가 활발히 진행되고 있다. 하지만 한국인에 적합한 급성심근경색 예후 진단 예측 시스템이 미비한 실정이다. 따라서 이 논문에서는 KAMIR(Korea Acute Myocardial Infarction Registry) 데이터베이스에서 제공 받은 급성심근경색 환자의 예후 데이터를 기반으로 ST분절 급상승 심근경색 재발 환자들의 단기 사망률 예측모델을 찾고자 한다. 실험을 통해 로지스틱 회귀 분석에 의해 추출된 속성 집합을 적용하였을 때 기존의 원시 데이터 보다 높은 정확도를 얻을 수 있었으며, 인공신경망의 경우 다른 분류기법들보다 높은 성능을 보였다. 이를 통해 ST 분절 급상승 심근경색 재발 환자들의 단기 사망률을 예측함으로써 향후 고위험군 환자들의 관리에 도움을 줄 수 있을 것으로 기대한다.

흡연행위 예측을 위한 대학생의 태도 분석 (An Analysis on Attitudes of University Students in the Prediction of Smoking Behavior)

  • 정향미
    • Child Health Nursing Research
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    • 제4권1호
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    • pp.128-149
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    • 1998
  • Cigarette smoking has been identified as the single most important source of preventable morbidity and mortality. Smoking behavior varies each individual, so individuality & subjectivity of smoking behavior must be specially focused upon to understand smoking behavior. The purpose of this study was to find attitudes of university students in the prediction of smoking behavior. Q-Methodological method was used as a research design and data were collected during the period from Jan.1, 1997 to Feb. 28, 1998. As the research method, Q-statements were collected through in- depth interviews and a literature review. For the study 33 Q-statements were selected. There were 45 university students as subjects for the research. The 45 university students sorted the 33 statements using the principle of Forced Normal Distribution. The principle of Forced Normal Distribution, which has nine scales to measure the individual opinions, Pc Quanl program was used for analysis and Q-factors were analyzed by using principal component analysis. According to the results of this study, there were four categories of opinion about the smoking behavior in university students. The first type is seeking the habitual dependency. The second type is seeking the stress relief : The third type is seeking the active disapproval : The fourth type is seeking the self control. As a result, The meaning of the smoking behavior is affected by perceived subjective experience, so we need to understand each persons meaning of the smoking behavior and to develop appropriate nursing interventions based on the typology of smoking behavior. Finally, The result of the study will provide basic data for smoking prevention and cessation program.

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자궁근종(子官筋腫)을 수반(隨伴)한 노년기(老年期) 초임(初任) 1례(例) - 초음파진단(超音波診斷)을 중심(中心)으로 - (A Study on One Case of Elderly Primigravida with Myoma Uteri - by Ultrasonic Diagnosis -)

  • 한혜진;문수형;김수희;김강석
    • 보험의학회지
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    • 제2권1호
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    • pp.260-266
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    • 1985
  • Pregancy is a part of women's life and is common process experienced by most women. On the other hand, a few cannot be pregnant. There are many reasons of infertility and myoma uteri of pelvic mass is a rare reason of infertility. Complication of pregnancy accompanied with myoma uteri is largely affected by the size or location of mass and the incidence by myoma uteri in pregnancy rarely happened, but mass with long pedunculus causes torsion as uterus is getting bigger. In labor myoma uteri causes the abnormal condition of fetal presentation and results in the abnormal childbirth. In case of myoma uteri, maternal mortality is low and there by medical hazards also decrease, but as the life insurance medical is the extensive prediction science, we believe that the prediction of perinatal or the condition of afterbirth by knowing the location, size of myoma uteri contributes to the medical examination. We experienced one case of Elderly primigravida with myoma uteri in Med Dept of Dae Han Kyouk life Insurance Co. Ltd. which the insured with medical examination believe herself as menopause. So we report the observations with studies.

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중환자실 환자의 비계획적 재입실 위험 요인 (Risk Factors of Unplanned Readmission to Intensive Care Unit)

  • 김유정;김금순
    • 임상간호연구
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    • 제19권2호
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    • pp.265-274
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    • 2013
  • Purpose: The aim of this study was to determine the risk factors contributed to unplanned readmission to intensive care unit (ICU) and to investigate the prediction model of unplanned readmission. Methods: We retrospectively reviewed the electronic medical records which included the data of 3,903 patients who had discharged from ICUs in a university hospital in Seoul from January 2011 to April 2012. Results: The unplanned readmission rate was 4.8% (n=186). The nine variables were significantly different between the unplanned readmission and no readmission groups: age, clinical department, length of stay at 1st ICU, operation, use of ventilator during 24 hours a day, APACHE II score at ICU admission and discharge, direct nursing care hours and Glasgow coma scale total score at 1st ICU discharge. The clinical department, length of stay at 1st ICU, operation and APACHE II score at ICU admission were the significant predictors of unplanned ICU readmission. The predictive model's area under the curve was .802 (p<.001). Conclusion: We identified the risk factors and the prediction model associated with unplanned ICU readmission. Better patient assessment tools and knowledge about risk factors could contribute to reduce unplanned ICU readmission rate and mortality.