• 제목/요약/키워드: TAE-RA.

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폐기능검사 해석에 정상하한치 변화와 새 해석흐름도가 미치는 영향 (Effect of the Changing the Lower Limits of Normal and the Interpretative Strategies for Lung Function Tests)

  • 나승원;오지선;홍상범;심태선;임채만;고윤석;이상도;김우성;김동순;김원동;오연목
    • Tuberculosis and Respiratory Diseases
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    • 제61권2호
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    • pp.129-136
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    • 2006
  • 연구 배경: 폐기능검사를 해석하는데 정상하한치(lower limits of normal) 선정과 해석흐름도 합의가 필수적이다. COPD 국제지침은 $FEV_1$/FVC 정상하한치로 0.7을 사용하여 폐쇄성장애를 진단한다. 한편, 미국흉부학회(ATS)와 유럽호흡기학회(ERS) 공동으로 새 해석흐름도를 제시하였다. '$FEV_1$/FVC 정상하한치 0.7' 의 정확성과 새 해석흐름도가 실제 폐기능검사 해석에 어떤 영향을 미치는지 알아 보고자 하였다. 방 법: 서울 아산병원의 호흡기검사실에서 2005년 7월 1일부터 11월 30일까지 5개월간 폐활량측정법을 시행한 7362명을 대상으로 하여 '$FEV_1$/FVC 정상하한치 0.7' 의 정확성을 평가하였고 새로운 ATS/ERS 해석흐름도에 따르면 폐용적검사가 추가로 필요한 경우가 얼마나 증가하는지 평가하였다. 상기 기간 내에 같은 날 폐용적검사를 시행한 1611 명을 대상으로 과거 해석흐름도와 비교하여 새로운 ATS/ERS 해석흐름도를 적용하게 되면 폐쇄성장애로 진단되는 경우가 얼마나 증가하는지 알아보았다. 결 과: 1) '$FEV_1$/FVC < 0.7' 에 의한 폐쇄성장애 진단은 연령이 증가할수록 민감도는 증가하였으나 특이도는 감소하였고 양성예측도는 감소하였으나 음성예측도는 증가하였다. 2) 새 ATS/ERS 해석흐름도를 적용할 경우 34.5% (2540명/7362명)의 환자가 추가로 폐용적검사가 필요하였다. 3) 새 ATS/ERS 해석흐름도를 적용할 경우, 과거에 제한성질환으로 진단되었던 환자 중 30%(205명/681명)가 폐쇄성질환으로 진단되었고 이는 전체 환자의 13%(205명/1611명)에 해당하였다. 결 론: 폐쇄성질환 진단기준으로 '$FEV_1$/FVC < 0.7' 을 사용하였을 때 연령에 따라서 민감도와 특이도가 변한다. 또한, 새로운 ATS/ERS 해석흐름도를 실제 환자를 진료하는데 적용하면 폐용적검사를 시행해야 하는 경우가 증가하게 되고 폐쇄성장애로 진단되는 경우가 더 증가하게 된다.

대기오염집중측정소별 2013~2015년 사이의 PM2.5 화학적 특성 차이 및 유발인자 조사 (Difference in Chemical Composition of PM2.5 and Investigation of its Causing Factors between 2013 and 2015 in Air Pollution Intensive Monitoring Stations)

  • 유근혜;박승식;김영성;신혜정;임철수;반수진;유정아;강현정;서영교;강경식;조미라;정선아;이민희;황태경;강병철;김효선
    • 한국대기환경학회지
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    • 제34권1호
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    • pp.16-37
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    • 2018
  • In this study, difference in chemical composition of $PM_{2.5}$ observed between the year 2013 and 2015 at six air quality intensive monitoring stations (Bangryenogdo (BR), Seoul (SL), Daejeon (DJ), Gwangju (GJ), Ulsan (US), and Jeju (JJ)) was investigated and the possible factors causing their difference were also discussed. $PM_{2.5}$, organic and elemental carbon (OC and EC), and water-soluble ionic species concentrations were observed on a hourly basis in the six stations. The difference in chemical composition by regions was examined based on emissions of gaseous criteria pollutants (CO, $SO_2$, and $NO_2$), meteorological parameters (wind speed, temperature, and relative humidity), and origins and transport pathways of air masses. For the years 2013 and 2014, annual average $PM_{2.5}$ was in the order of SL ($${\sim_=}DJ$$)>GJ>BR>US>JJ, but the highest concentration in 2015 was found at DJ, following by GJ ($${\sim_=}SJ$$)>BR>US>JJ. Similar patterns were found in $SO{_4}^{2-}$, $NO_3{^-}$, and $NH_4{^+}$. Lower $PM_{2.5}$ at SL than at DJ and GJ was resulted from low concentrations of secondary ionic species. Annual average concentrations of OC and EC by regions had no big difference among the years, but their patterns were distinct from the $PM_{2.5}$, $SO{_4}^{2-}$, $NO_3{^-}$, and $NH_4{^+}$ concentrations by regions. 4-day air mass backward trajectory calculations indicated that in the event of daily average $PM_{2.5}$ exceeding the monthly average values, >70% of the air masses reaching the all stations were coming from northeastern Chinese polluted regions, indicating the long-range transportation (LTP) was an important contributor to $PM_{2.5}$ and its chemical composition at the stations. Lower concentrations of secondary ionic species and $PM_{2.5}$ at SL in 2015 than those at DJ and GJ sites were due to the decrease in impact by LTP from polluted Chinese regions, rather than the difference in local emissions of criteria gas pollutants ($SO_2$, $NO_2$, and $NH_3$) among the SL, DJ, and GJ sites. The difference in annual average $SO{_4}^{2-}$ by regions was resulted from combination of the difference in local $SO_2$ emissions and chemical conversion of $SO_2$ to $SO{_4}^{2-}$, and LTP from China. However, the $SO{_4}^{2-}$ at the sites were more influenced by LTP than the formation by chemical transformation of locally emitted $SO_2$. The $NO_3{^-}$ increase was closely associated with the increase in local emissions of nitrogen oxides at four urban sites except for the BR and JJ, as well as the LTP with a small contribution. Among the meterological parameters (wind speed, temperature, and relative humidity), the ambient temperature was most important factor to control the variation of $PM_{2.5}$ and its major chemical components concentrations. In other words, as the average temperature increases, the $PM_{2.5}$, OC, EC, and $NO_3{^-}$ concentrations showed a decreasing tendency, especially with a prominent feature in $NO_3{^-}$. Results from a case study that examined the $PM_{2.5}$ and its major chemical data observed between February 19 and March 2, 2014 at the all stations suggest that ambient $SO{_4}^{2-}$ and $NO_3{^-}$ concentrations are not necessarily proportional to the concentrations of their precursor emissions because the rates at which they form and their gas/particle partitioning may be controlled by factors (e.g., long range transportation) other than the concentration of the precursor gases.