41 research outputs found

    ํ•œ๊ตญ๊ณผ ์ผ๋ณธ์˜ ์‚ฐ์—…๋ณ„ ๋…ธ๋™์ƒ์‚ฐ์„ฑ ๋ฐ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ๋น„๊ต

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ฒฝ์ œํ•™๋ถ€(๊ฒฝ์ œํ•™์ „๊ณต),2010.2.Maste

    ์•ฝ์‚ฌ์˜ ์ „๋ฌธ์ง์—…์„ฑ๊ณผ ๊ด€๋ จ์š”์ธ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋ณด๊ฑด๋Œ€ํ•™์› :๋ณด๊ฑดํ•™๊ณผ ๋ณด๊ฑดํ•™์ „๊ณต,1997.Maste

    Focusing on socioeconomic status and high-sensitivity troponin T

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์˜๊ณผ๋Œ€ํ•™ ์ž„์ƒ์˜๊ณผํ•™๊ณผ,2020. 2. ์˜ค๊ตญํ™˜.์‹ฌํ˜ˆ๊ด€๊ณ„ ์งˆํ™˜์€ ๋งŒ์„ฑ์‹ ์žฅ์งˆํ™˜ ํ™˜์ž์˜ ์ฃผ์š” ์‚ฌ๋ง์›์ธ์ด๋ฏ€๋กœ, ์‹ฌํ˜ˆ๊ด€๊ณ„ ์งˆํ™˜์˜ ์˜ˆ๋ฐฉ์„ ์œ„ํ•ด ์œ„ํ—˜์ธ์ž๋ฅผ ์กฐ๊ธฐ ๋ฐœ๊ฒฌํ•˜์—ฌ ์น˜๋ฃŒํ•˜๋Š” ๊ฒƒ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ฆ์ƒ์ด ์•„์ง ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์€ ์‹ฌ์žฅ ๊ตฌ์กฐ ๋ฐ ๊ธฐ๋Šฅ์˜ ๋ณ€ํ™”์— ๋Œ€ํ•œ ์œ„ํ—˜ ์ธ์ž ๋ฐ ์ง„๋‹จ์  ๋ฐ”์ด์˜ค๋งˆ์ปค์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ์ฒซ๋ฒˆ์งธ๋Š” ๋งŒ์„ฑ์‹ ์žฅ์งˆํ™˜ ํ™˜์ž์—์„œ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ง€์œ„์™€ ์ขŒ์‹ฌ์‹ค ๊ตฌ์กฐ ๋ฐ ๊ธฐ๋Šฅ ๋ณ€ํ™”์™€์˜ ๊ด€๊ณ„์— ๋Œ€ํ•ด์„œ, ๋‘๋ฒˆ์งธ๋Š” ๋งŒ์„ฑ์‹ ์žฅ์งˆํ™˜ ํ™˜์ž์—์„œ ์ถ”์ • ์‚ฌ๊ตฌ์ฒด ์—ฌ๊ณผ์œจ์— ๋”ฐ๋ผ high-sensitivity troponin T (hs-TnT)์™€ ์ขŒ์‹ฌ์‹ค ๊ตฌ์กฐ ๋ฐ ๊ธฐ๋Šฅ๊ณผ์˜ ๊ด€๊ณ„์— ๋Œ€ํ•ด ํ‰๊ฐ€ํ•ด ๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํˆฌ์„ ์ด์ „์˜ ๋งŒ์„ฑ์‹ ์žฅ๋ณ‘ ํ™˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•˜๋Š” ์ „ํ–ฅ์  ์ฝ”ํ˜ธํŠธ์ธ ํ•œ๊ตญ์ธ ๋งŒ์„ฑ์‹ ์žฅ๋ณ‘ ์žฅ๊ธฐ ์ถ”์  ์ฝ”ํ˜ธํŠธ (KNOW-CKD)์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ์‹ฌ์žฅ์ดˆ์ŒํŒŒ ๊ฒ€์‚ฌ๋Š” ์—ฐ๊ตฌ ๋“ฑ๋ก ๋‹น์‹œ ๋ฐ 4๋…„ ํ›„์— ์‹œํ–‰๋˜์—ˆ์œผ๋ฉฐ ์ด๋ฅผ ํ†ตํ•ด ์ขŒ์‹ฌ์‹ค ๊ตฌ์กฐ ๋ฐ ๊ธฐ๋Šฅ ์žฅ์• ์— ๋Œ€ํ•œ ํ‰๊ฐ€๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ๋“ฑ๋ก ๋‹น์‹œ ์‹œํ–‰ํ•œ ์„ค๋ฌธ์ง€์—์„œ ๊ต์œก ์ˆ˜์ค€๊ณผ ๊ฐ€๊ตฌ๋ณ„ ์›” ์†Œ๋“ ์ˆ˜์ค€์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ง€์œ„์˜ ์ง€ํ‘œ๋กœ ์‚ฌ์šฉํ•˜์˜€๋‹ค. Troponin T์˜ ๊ฒฝ์šฐ high-sensitivity๋กœ ์ธก์ •ํ•˜์˜€๊ณ , ์‚ฌ๋ถ„์œ„์ˆ˜๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์ฒซ๋ฒˆ์งธ ํŒŒํŠธ์ธ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ง€์œ„ ๋ฐ ์ขŒ์‹ฌ์‹ค ๊ตฌ์กฐ์— ๋Œ€ํ•œ ๋ถ„์„์—์„œ ์ขŒ์‹ฌ์‹ค ๋น„๋Œ€๋Š” ์‚ฌํšŒ๊ฒฝ์ œ์  ์ง€์œ„(๊ต์œก ์ˆ˜์ค€ ๋ฐ ์›” ์†Œ๋“ ์ˆ˜์ค€)๊ฐ€ ๋‚ฎ์„์ˆ˜๋ก ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋‚ฎ์€ ๊ต์œก ์ˆ˜์ค€๊ณผ ์›” ์†Œ๋“ ์ˆ˜์ค€ ๋ชจ๋‘ ์ „์ฒด ํ™˜์ž์—์„œ ๋‹ค๋ณ€๋Ÿ‰ ๋ถ„์„ ์‹œ ์ขŒ์‹ฌ์‹ค ๋น„๋Œ€์™€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ์œผ๋‚˜, 50์„ธ ๋ฏธ๋งŒ์—์„œ๋Š” ์œ ์˜์„ฑ์„ ๋‚˜ํƒ€๋‚ด์ง€ ์•Š์•˜๋‹ค. ์ด์™„๊ธฐ ๊ธฐ๋Šฅ ์žฅ์• ์˜ ๊ฒฝ์šฐ, ๋‚ฎ์€ ์†Œ๋“ ์ˆ˜์ค€๋งŒ์ด ์ „์ฒด ํ™˜์ž ๋ฐ 50์„ธ ์ด์ƒ์˜ ํ™˜์ž์—์„œ ์‹œํ–‰ํ•œ ๋‹ค๋ณ€๋Ÿ‰ ๋ถ„์„์—์„œ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋‘๋ฒˆ์งธ ํŒŒํŠธ์—์„œ๋Š” ๋“ฑ๋ก ๋‹น์‹œ์˜ ๋†’์€ hs-TnT๊ฐ€ ์ขŒ์‹ฌ์‹ค ๋น„๋Œ€ ๋ฐ ์ด์™„๊ธฐ ๊ธฐ๋Šฅ ์žฅ์• ์™€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์„ ๋ณด์˜€์œผ๋‚˜, ์ˆ˜์ถ•๊ธฐ ๊ธฐ๋Šฅ ์žฅ์• ์™€๋Š” ์ด๋Ÿฌํ•œ ์—ฐ๊ด€์„ฑ์„ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์ถ”์ • ์‚ฌ๊ตฌ์ฒด ์—ฌ๊ณผ์œจ 60mL/min/1.73m2๋ฅผ ๊ธฐ์ค€์œผ๋กœ ๋‘ ๊ทธ๋ฃน์œผ๋กœ ๋‚˜๋ˆ„์–ด ๋ถ„์„ํ•œ ํ•˜์œ„์ง‘๋‹จ ๋ถ„์„์—์„œ๋„ ๋™์ผํ•˜๊ฒŒ ์œ ์ง€๋˜์—ˆ๋‹ค. hs-TnT๋ฅผ ์—ฐ์†๋ณ€์ˆ˜๋กœ ๋‘๊ณ  ์‹œํ–‰ํ•œ ์ˆ˜์‹ ์ž ์กฐ์ž‘ ํŠน์„ฑ ๊ณก์„ (Receive Operating Curve, ROC) ๋ถ„์„์—์„œ ์ขŒ์‹ฌ์‹ค ๋น„๋Œ€(Area under the curve [AUC] 0.69) ๋ฐ ์ด์™„๊ธฐ ๊ธฐ๋Šฅ์žฅ์• (AUC 0.74)์˜ ์ง„๋‹จ์— ์ƒ๋‹นํ•œ ์˜๋ฏธ๋ฅผ ๊ฐ€์ง€๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋‹ค๋ณ€๋Ÿ‰ ๋ถ„์„ ๊ฒฐ๊ณผ ๋“ฑ๋ก ๋‹น์‹œ์˜ ๋†’์€ hs-TnT๋Š” 4๋…„ ํ›„ ์‹œํ–‰ํ•œ ์‹ฌ์ดˆ์ŒํŒŒ์—์„œ ์ƒˆ๋กญ๊ฒŒ ๋ฐœ์ƒํ•˜๋Š” ์ขŒ์‹ฌ์‹ค ๋น„๋Œ€์™€ ์—ฐ๊ด€์„ฑ์ด ์žˆ์œผ๋‚˜, ์ƒˆ๋กœ ์ง„๋‹จ๋˜๋Š” ์ด์™„๊ธฐ ๊ธฐ๋Šฅ ์žฅ์• ์™€๋Š” ์—ฐ๊ด€์„ฑ์„ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ต์œก ์ˆ˜์ค€ ๋ฐ ์›” ์†Œ๋“ ์ˆ˜์ค€์ด ์ขŒ์‹ฌ์‹ค ๋น„๋Œ€์˜ ์œ„ํ—˜ ์š”์†Œ์ด๋ฉฐ, ํŠนํžˆ ์›” ์†Œ๋“ ์ˆ˜์ค€์€ ์ด์™„๊ธฐ ๊ธฐ๋Šฅ์žฅ์• ์˜ ์œ„ํ—˜์ธ์ž์ž„์„ ๋ฐํ˜”๋‹ค. ๋˜ํ•œ ๋ฐ”์ด์˜ค๋งˆ์ปค์˜ ๊ด€์ ์—์„œ๋Š”, ๋“ฑ๋ก ๋‹น์‹œ์˜ hs-TnT๊ฐ€ ๋†’์„์ˆ˜๋ก ์‹ ๊ธฐ๋Šฅ์— ๊ด€๊ณ„์—†์ด ์ขŒ์‹ฌ์‹ค ๋น„๋Œ€ ๋ฐ ์ด์™„๊ธฐ ๊ธฐ๋Šฅ ์žฅ์• ์™€ ๋‹จ๋ฉด์  ์—ฐ๊ตฌ์—์„œ ๊ฐ•ํ•œ ์—ฐ๊ด€์„ฑ์„ ๋ณด์ž„์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, 4๋…„ ๋’ค์˜ ์ขŒ์‹ฌ์‹ค ๋น„๋Œ€๋ฅผ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์Œ์„ ๋ณธ ์—ฐ๊ตฌ์—์„œ ํ™•์ธํ•˜์˜€๋‹ค.Introduction: Cardiovascular (CV) diseases are the leading cause of death among patients with chronic kidney disease (CKD). Thus, it is important to identify risk factors for the prevention of CV disease in patients with CKD to facilitate early intervention. Thus, the risk factors and diagnostic biomarkers for subclinical cardiac changes were investigated in this study. In the first part of this study, I aimed to reveal the association between left ventricular (LV) structure, function and socioeconomic status (SES). In the second part of this study, I evaluated the relationship between high-sensitivity troponin T (hs-TnT) and LV structure, function in the CKD population according to the estimated glomerular filtration rate (eGFR). Methods: Data were collected from the KoreaN Cohort Study for Outcome in Patients With Chronic Kidney Disease (KNOW-CKD, NCT01630486 at http://www.clinicaltrials.gov) which is a prospective cohort study with non-dialysis-dependent CKD patients. Echocardiography was conducted for evaluation of left ventricular hypertrophy (LVH), systolic and diastolic dysfunction at baseline and after 4 years. Information on educational attainment and monthly income level, which were captured from patient-reported questionnaires, was used as indicators of SES. Cardiac troponin T levels were measured using high-sensitivity assay, and the participants were categorized into quartiles according to hs-TnT concentrations. Results: In the analysis regarding SES and LVH, LVH was associated with parameters of SES and these associations had graded responses. Lower education and income level showed a statistically significant determinant of LVH in total participants and a subgroup with age โ‰ฅ 50 years, but not age < 50 years in the multivariate analysis. In view of diastolic dysfunction, the monthly income level was associated with diastolic dysfunction in total patients and patients age โ‰ฅ 50 years in the multivariable analysis. In the second part of this study, elevated hs-TnT was associated with LVH and diastolic dysfunction at baseline in an adjusted model, but not in systolic dysfunction. These associations remained significant for both eGFR subgroups based on eGFR 60mL/min/1.73m2, irrespective of renal function. ROC analysis showed that hs-TnT levels as a continuous variable exhibited fair significance for the detection of LVH (Area under the curve [AUC] 0.69) and diastolic dysfunction (AUC 0.74). Finally, multivariable analysis showed that higher hs-TnT levels at study entry were related to the development of new LVH but not the development of diastolic dysfunction among participants with follow-up echocardiography at 4 years (N=864). Conclusion: The present study shows that educational attainment and monthly income level are possible risk factors for LVH and monthly income level is a significant determinant of diastolic dysfunction. Additionally, in the view of biomarkers, hs-TnT is strongly associated with alterations of LV structure and diastolic dysfunction regardless of renal function. Baseline hs-TnT levels are predictive of new LVH on follow-up. Further studies regarding novel risk factors and the mechanisms for CV disease in non-dialysis-dependent CKD population is warranted to improve the CV outcomes.Chapter 1. Introduction 1 1.1 Backgrounds 1 1.2 The purpose of this study 7 Chapter 2. The association between socioeconomics disparities and echocardiographic parameters in chronic kidney disease 8 2.1 Background 8 2.2 Materials and methods 12 2.3 Results 18 Chapter 3. The association between high-sensitivity cardiac troponin T and echocardiographic parameters in chronic kidney disease 40 3.1 Background 40 3.2 Materials and methods 42 3.3 Results 47 Chapter 4. Discussion 73 Chapter 5. Conclusion 86 References 88Docto

    ์ถฉ๋‚จ๋„๋‚ด ์ง€๋ฐฉ์˜๋ฃŒ์› ๊ฒฝ์˜๊ฐœ์„  ๋ฐฉ์•ˆ ์—ฐ๊ตฌ

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    ์—ฐ ๊ตฌ ์š” ์•ฝ 1. ํ•„์š”์„ฑ๊ณผ ๋ชฉ์  ์ถฉ๋‚จ๋„๋‚ด 4๊ฐœ ์ง€๋ฐฉ์˜๋ฃŒ์› ์ค‘ ์„œ์‚ฐ์˜๋ฃŒ์›๋งŒ 2014๋…„์— ๋‹น๊ธฐ์ˆœ์ˆ˜์ต ํ‘์ž๋ฅผ ์ด๋ฃจ์—ˆ๊ณ  ๋‚˜๋จธ์ง€๋Š” ๋ชจ๋‘ ์ ์ž๋ฅผ ๊ธฐ๋กํ•˜์˜€๋‹ค. ์ง€๋ฐฉ์˜๋ฃŒ์›์˜ ์žฅ๊ธฐ์ ์ธ ์ ์ž์™€ ๊ณผ๋„ํ•œ ๋ถ€์ฑ„๋Š” ์ง„์ฃผ์˜๋ฃŒ์› ํ์‡„์˜ ์‚ฌ๋ก€์—์„œ์™€ ๊ฐ™์€ ํฐ ์‚ฌํšŒ์  ํ˜ผ๋ž€์„ ์•ผ๊ธฐํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์ ์ ˆํ•œ ์ธ๋ ฅ๊ด€๋ฆฌ์™€ ์žฌ์ • ๊ฑด์ „์„ฑ์„ ์œ ์ง€ํ•˜๋Š” ๊ฒƒ์€ ์ถฉ๋‚จ๋„๋ฏผ์—๊ฒŒ ์ ์ ˆํ•œ ๊ณต๊ณต์˜๋ฃŒ๋ฅผ ์•ˆ์ •์ ์œผ๋กœ ์ œ๊ณตํ•˜๋Š”๋ฐ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค๊ณ  ํ• ์ˆ˜ ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ถฉ๋‚จ๋„๋‚ด ์ง€๋ฐฉ์˜๋ฃŒ์›์˜ ์ธ๋ ฅ๊ด€๋ฆฌ ๋ฐ ์žฌ๋ฌด๋น„์œจ์„ ์กฐ์‚ฌโ€ค๋ถ„์„ํ•˜์—ฌ ์ถฉ๋‚จ๋„๋‚ด ์ง€๋ฐฉ์˜๋ฃŒ์›์˜ ๊ฒฝ์˜๊ฐœ์„ ๋ฐฉ์•ˆ์„ ๋„์ถœํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. 2. ์ฃผ์š” ์—ฐ๊ตฌ๋‚ด์šฉ โ—‡ ์ถฉ๋‚จ ๊ณต๊ณต์˜๋ฃŒ์ •์ฑ…์˜ ํ‰๊ฐ€ ์ฒซ์งธ, ์šด์˜ ํšจ์œจํ™” ์˜์—ญ์˜ ๋‚ด์šฉ์—๋Š” ์˜๋ฃŒ์›์žฅ ์ฑ…์ž„๊ฒฝ์˜์ œ, ์šด์˜ ํˆฌ๋ช…์„ฑ, ๊ทธ๋ฆฌ๊ณ  ์ง€์ž์ฒด์˜ ๊ด€๋ฆฌ๊ฐ๋… ๊ฐ•ํ™”๊ฐ€ ํฌํ•จ๋œ๋‹ค. ์ด ์„ธ ๊ฐ€์ง€ ๋‚ด์šฉ ๋ชจ๋‘์—์„œ ์ถฉ์ฒญ๋‚จ๋„๋Š” 2015๋…„๋ถ€ํ„ฐ ์ ๊ทน์ ์ธ ๊ฐœ์„  ๋…ธ๋ ฅ์„ ๊ธฐ์šธ์—ฌ ์™”๊ณ , ์‹ค์งˆ์ ์œผ๋กœ ์˜๋ฃŒ์›์˜ ๊ฒฝ์˜๊ฐœ์„  ๋…ธ๋ ฅ์œผ๋กœ ์ด์–ด์ง„ ๊ฒƒ์œผ๋กœ ํ‰๊ฐ€๋œ๋‹ค. ๋‘˜์งธ, ๊ณต์ต์  ๊ธฐ๋Šฅ ๊ฐ•ํ™”๋ฅผ ์œ„ํ•ด ๊ฐ ์˜๋ฃŒ์›๋ณ„๋กœ ์ง€์—ญ์—์„œ์˜ ๋ฏธ์ถฉ์กฑ ์„œ๋น„์Šค๋ฅผ ์กฐ์‚ฌํ•˜์—ฌ ์‹œ์„ค ๋ฐ ์žฅ๋น„ ๊ตฌ์ž…์— ์˜ˆ์‚ฐ ์ง€์›์„ ํ•˜๋Š” ๋“ฑ ๋ฐ”๋žŒ์งํ•œ ๋ฐฉํ–ฅ์˜ ์ง€์›์„ ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ๋ณด์ธ๋‹ค. ๋‹จ, ๊ณต์ต์  ๊ธฐ๋Šฅ์„ ๊ฐ•ํ™”ํ•˜๋Š”๋ฐ ์žˆ์–ด์„œ ์˜์‚ฌ, ๊ฐ„ํ˜ธ์‚ฌ ๋“ฑ ํ•ต์‹ฌ ์ธ๋ ฅ์˜ ํ™•๋ณด๋ฅผ ์œ„ํ•œ ์ง€์›๋„ ๋™์ผํ•œ ์ค‘์š”์„ฑ์„ ๊ฐ–๊ณ  ์ถ”์ง„๋  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์…‹์งธ, ์šด์˜ ํ‰๊ฐ€์™€ ์ง„๋‹จ์„ ๋„์˜ ์˜ˆ์‚ฐ์ง€์›๊ณผ ์—ฐ๊ณ„ํ•˜๊ณ  ์žˆ๋‹ค๋Š” ์ ๋„ ๋ฐ”๋žŒ์ง ํ•˜๋‹ค๊ณ  ๋ณด์ธ๋‹ค. ๋‹ค๋งŒ ์นœ์ ˆ๋„ํ‰๊ฐ€์™€ ์˜ˆ์‚ฐ์ง€์›์„ ์—ฐ๊ณ„ํ•˜๋Š” ๋ถ€๋ถ„์€ ๊ฐœ์„ ์ด ํ•„์š”ํ•˜๋ฉฐ, ๋น„์šฉ๊ณ„์ธก ์ด๋ฅผ ๊ธฐ์ดˆ๋กœ ํ•œ ์˜ˆ์‚ฐ์ง€์›์˜ ํ‹€์„ ์ œ์‹œํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋„ท์งธ, ๊ณต๊ณต์˜๋ฃŒ์ถ”์ง„๊ธฐ๋ฐ˜์˜ ๊ฐœ์„ ์„ ์œ„ํ•ด ๊ณต๊ณต์˜๋ฃŒํŒ€์˜ ์†Œ์† ๋ณ€๊ฒฝ ๋ฐ ์ง€์†์  ์—ฐ๊ตฌ ์˜ˆ์‚ฐ์˜ ํ™•๋ณด๊ฐ€ ๊ณ ๋ ค๋  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. - ์ดํ›„ ์ƒ๋žต์ œ1์žฅ ๋จธ๋ฆฌ๋ง 1. ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1) ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 2) ์—ฐ๊ตฌ ๋ชฉ์  3) ๊ธฐ๋Œ€ํšจ๊ณผ 2. ์—ฐ๊ตฌ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ• 1) ์—ฐ๊ตฌ๋ฒ”์œ„ 2) ์—ฐ๊ตฌ๋ฐฉ๋ฒ• ์ œ2์žฅ ๊ด€๋ จ์ด๋ก  ๋ฐ ์ •์ฑ…๋™ํ–ฅ 1. ์ง€๋ฐฉ์˜๋ฃŒ์›์˜ ๊ธฐ๋Šฅ ๋ฐ ๊ณต์ต์  ์ ์ž์˜ ๊ฐœ๋… 1) ์ง€๋ฐฉ์˜๋ฃŒ์›์˜ ๊ธฐ๋Šฅ 2) ๊ณต์ต์  ์ ์ž 2. ์ง€๋ฐฉ์˜๋ฃŒ์›์˜ ๊ฒฝ์˜๋ถ„์„์— ๊ด€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ 1) ์„ ํ–‰์—ฐ๊ตฌ ํ˜„ํ™ฉ 2) ์„ ํ–‰์—ฐ๊ตฌ์˜ ์‹œ์‚ฌ์  3) ์—ฐ๊ตฌ์˜ ์ฐจ๋ณ„์„ฑ 3. ์ง€๋ฐฉ์˜๋ฃŒ์› ์ •์ฑ…๋™ํ–ฅ 1) ์ค‘์•™์ •๋ถ€์˜ ์ง€๋ฐฉ์˜๋ฃŒ์› ์ •์ฑ… 2) ์ถฉ์ฒญ๋‚จ๋„์˜ ์ง€๋ฐฉ์˜๋ฃŒ์› ์ •์ฑ… ์ œ3์žฅ ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ์‹คํƒœ๋ถ„์„ 1. ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ๊ธฐ์ดˆํ˜„ํ™ฉ ๋ฐ ์‹คํƒœ 1) ์ถฉ๋‚จ๋„๋‚ด ์ง€๋ฐฉ์˜๋ฃŒ์› ๊ธฐ์ดˆํ˜„ํ™ฉ 2) ์ถฉ๋‚จ๋„๋‚ด ์ง€๋ฐฉ์˜๋ฃŒ์› ์ž…์ง€ ๋ฐ ์ง„๋ฃŒ๊ถŒ ํ˜„ํ™ฉ 2. ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ๊ณต์ต์„ฑ ์‚ฌ์—…ํ˜„ํ™ฉ 1) ์ „์ฒด ์ง€๋ฐฉ์˜๋ฃŒ์› ๊ณต์ต์  ๊ธฐ๋Šฅ ์‹คํƒœ 2) ์ถฉ๋‚จ๋„๋‚ด ์ง€๋ฐฉ์˜๋ฃŒ์› ๊ณต์ต์‚ฌ์—… ์‹ค์  ์ œ4์žฅ ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ๊ฒฝ์˜๋ถ„์„ ๊ฒฐ๊ณผ 1. ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ์ง„๋ฃŒ์ˆ˜์ต 2. ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ์žฌ๋ฌด๋น„์œจ ๋ถ„์„๊ฒฐ๊ณผ 1) ์ฃผ์š” ์žฌ๋ฌด๋น„์œจ ์ง€ํ‘œ ๊ฒฐ๊ณผ 2) ์ถฉ๋‚จ๋„๋‚ด ์ง€๋ฐฉ์˜๋ฃŒ์› ์ „์ฒด์™€ ํƒ€ ์ง€๋ฐฉ์˜๋ฃŒ์›, ์ผ๋ฐ˜๋ณ‘์›๊ณผ์˜ ๋น„๊ต๋ถ„์„ 3) ์ถฉ๋‚จ๋„๋‚ด ๊ฐ ์ง€๋ฐฉ์˜๋ฃŒ์›๊ณผ ํƒ€ ์ง€๋ฐฉ์˜๋ฃŒ์›, ๋ณ‘์›๊ณผ์˜ ๋น„๊ต๋ถ„์„ 4) ์ฐฉํ•œ์ ์ž์™€ ๊ฒฝ์˜์‹ค์ ๊ณผ์˜ ๊ด€๊ณ„ 5) ์›๊ฐ€์ง€ํ‘œ, ์ง„๋ฃŒ์ง€ํ‘œ, ์ƒ์‚ฐ์„ฑ ์ง€ํ‘œ์™€ ๋ณ‘์›์ˆ˜์ต์„ฑ ๊ด€๋ จ ์š”์ธ ๋ถ„์„ 3. ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ๋ณ‘์›์žฅ ๋ฉด๋‹ด๊ฒฐ๊ณผ ์ œ5์žฅ ๊ฒฐ๋ก  ๋ฐ ์ •์ฑ…์ œ์–ธ 1. ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ์—ฌ๊ฑด ๋ฐ ํ•œ๊ณ„ 1) ์ˆ˜์š” ์ธก๋ฉด 2) ์ง„๋ฃŒ๊ถŒ ์ธก๋ฉด 3) ์˜๋ฃŒ์ง„ ์ธ๋ ฅ์ˆ˜๊ธ‰ ์ธก๋ฉด 4) ์˜๋ฃŒ์ˆ˜์ต ์ธก๋ฉด 2. ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ๋ฐœ์ „์„ ์œ„ํ•œ ์ •์ฑ…๋ฐฉํ–ฅ 3. ์ถฉ๋‚จ๋„ ์ง€๋ฐฉ์˜๋ฃŒ์› ๊ฒฝ์˜๊ฐœ์„  ๋ฐฉ์•ˆ 1) ์กฐ์ง ๋ฐ ์ธ๋ ฅ๊ด€๋ฆฌ ์ฒด๊ณ„ 2) ์ง€๋ฐฉ์˜๋ฃŒ์›์˜ ๊ธฐ๋Šฅ : ์ง€์—ญ๊ฑฐ์ ๋ณ‘์› ์—ญํ•  3) ์žฌ๋ฌด๊ฑด์ „์„ฑ ํ™•๋ณด 4. ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„์™€ ํ–ฅํ›„ ์—ฐ๊ตฌ๊ณผ์ œ ์ฐธ๊ณ ๋ฌธํ—Œ โ€ป ๋ถ€๋ก 1. ์—ฐ๋„๋ณ„, ์ง€๋ฐฉ์˜๋ฃŒ์›๋ณ„ ์žฌ๋ฌด๋น„์œจ ๋น„๊ต๋ถ„์„ ์š”์•ฝ โ€ป ๋ถ€๋ก 2. ์—ฐ๋„๋ณ„ ์›๊ฐ€, ์ง„๋ฃŒ, ์ƒ์‚ฐ์„ฑ ์ง€ํ‘œ ๋น„๊ต๋ถ„์„ โ€ป ๋ถ€๋ก 3. ๊ฐ ์˜๋ฃŒ์› ์ •๊ด€ โ€ป ๋ถ€๋ก 4. ์ถฉ์ฒญ๋‚จ๋„ ์˜๋ฃŒ์› ์„ค๋ฆฝ ๋ฐ ์šด์˜ ์กฐ
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