405 research outputs found
RORฮณt-specific transcriptional interactomic inhibition suppresses autoimmunity associated with TH17 cells.
The nuclear hormone receptor retinoic acid-related orphan receptor gamma t (RORฮณt) is a transcription factor (TF) specific to TH17 cells that produce interleukin (IL)-17 and have been implicated in a wide range of autoimmunity. Here, we developed a novel therapeutic strategy to modulate the functions of RORฮณt using cell-transducible form of transcription modulation domain of RORฮณt (tRORฮณt-TMD), which can be delivered effectively into the nucleus of cells and into the central nerve system (CNS). tRORฮณt-TMD specifically inhibited TH17-related cytokines induced by RORฮณt, thereby suppressing the differentiation of naรฏve T cells into TH17, but not into TH1, TH2, or Treg cells. tRORฮณt-TMD injected into experimental autoimmune encephalomyelitis (EAE) animal model can be delivered effectively in the splenic CD4(+) T cells and spinal cord-infiltrating CD4(+) T cells, and suppress the functions of TH17 cells. The clinical severity and incidence of EAE were ameliorated by tRORฮณt-TMD in preventive and therapeutic manner, and significant reduction of both infiltrating CD4(+) IL-17(+) T cells and inflammatory cells into the CNS was observed. As a result, the number of spinal cord demyelination was also reduced after tRORฮณt-TMD treatment. With the same proof of concept, tTbet-TMD specifically blocking TH1 differentiation improved the clinical incidence of rheumatoid arthritis (RA). Therefore, tRORฮณt-TMD and tTbet-TMD can be novel therapeutic reagents with the natural specificity for the treatment of inflammatory diseases associated with TH17 or TH1. This strategy can be applied to treat various diseases where a specific transcription factor has a key role in pathogenesis.ope
๋น๊ฐ์ฐ์์ ์ก์ ์์ ๋ณต์์ ์ํ ๊ทธ๋ฃน ํฌ์ ํํ
ํ์๋
ผ๋ฌธ(๋ฐ์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :์์ฐ๊ณผํ๋ํ ์๋ฆฌ๊ณผํ๋ถ,2020. 2. ๊ฐ๋ช
์ฃผ.For the image restoration problem, recent variational approaches exploiting nonlocal information of an image have demonstrated significant improvements compared with traditional methods utilizing local features. Hence, we propose two variational models based on the sparse representation of image groups, to recover images with non-Gaussian noise. The proposed models are designed to restore image with Cauchy noise and speckle noise, respectively. To achieve efficient and stable performance, an alternating optimization scheme with a novel initialization technique is used. Experimental results suggest that the proposed methods outperform other methods in terms of both visual perception and numerical indexes.์์ ๋ณต์ ๋ฌธ์ ์์, ์์์ ๋น๊ตญ์ง์ ์ธ ์ ๋ณด๋ฅผ ํ์ฉํ๋ ์ต๊ทผ์ ๋ค์ํ ์ ๊ทผ ๋ฐฉ์์ ๊ตญ์ง์ ์ธ ํน์ฑ์ ํ์ฉํ๋ ๊ธฐ์กด ๋ฐฉ๋ฒ๊ณผ ๋น๊ตํ์ฌ ํฌ๊ฒ ๊ฐ์ ๋์๋ค. ๋ฐ๋ผ์, ์ฐ๋ฆฌ๋ ๋น๊ฐ์ฐ์์ ์ก์ ์์์ ๋ณต์ํ๊ธฐ ์ํด ์์ ๊ทธ๋ฃน ํฌ์ ํํ์ ๊ธฐ๋ฐํ ๋ ๊ฐ์ง ๋ณ๋ถ๋ฒ์ ๋ชจ๋ธ์ ์ ์ํ๋ค. ์ ์๋ ๋ชจ๋ธ์ ๊ฐ๊ฐ ์ฝ์ ์ก์๊ณผ ์คํํด ์ก์ ์์์ ๋ณต์ํ๋๋ก ์ค๊ณ๋์๋ค. ํจ์จ์ ์ด๊ณ ์์ ์ ์ธ ์ฑ๋ฅ์ ๋ฌ์ฑํ๊ธฐ ์ํด, ๊ต๋ ๋ฐฉํฅ ์น์๋ฒ๊ณผ ์๋ก์ด ์ด๊ธฐํ ๊ธฐ์ ์ด ์ฌ์ฉ๋๋ค. ์คํ ๊ฒฐ๊ณผ๋ ์ ์๋ ๋ฐฉ๋ฒ์ด ์๊ฐ์ ์ธ ์ธ์๊ณผ ์์น์ ์ธ ์งํ ๋ชจ๋์์ ๋ค๋ฅธ ๋ฐฉ๋ฒ๋ณด๋ค ์ฐ์ํจ์ ๋ํ๋ธ๋ค.1 Introduction 1
2 Preliminaries 5
2.1 Cauchy Noise 5
2.1.1 Introduction 6
2.1.2 Literature Review 7
2.2 Speckle Noise 9
2.2.1 Introduction 10
2.2.2 Literature Review 13
2.3 GSR 15
2.3.1 Group Construction 15
2.3.2 GSR Modeling 16
2.4 ADMM 17
3 Proposed Models 19
3.1 Proposed Model 1: GSRC 19
3.1.1 GSRC Modeling via MAP Estimator 20
3.1.2 Patch Distance for Cauchy Noise 22
3.1.3 The ADMM Algorithm for Solving (3.7) 22
3.1.4 Numerical Experiments 28
3.1.5 Discussion 45
3.2 Proposed Model 2: GSRS 48
3.2.1 GSRS Modeling via MAP Estimator 50
3.2.2 Patch Distance for Speckle Noise 52
3.2.3 The ADMM Algorithm for Solving (3.42) 53
3.2.4 Numerical Experiments 56
3.2.5 Discussion 69
4 Conclusion 74
Abstract (in Korean) 84Docto
Multivariable index for assessing the activity and predicting all-cause mortality in antineutrophil cytoplasmic antibody-associated vasculitis
BACKGROUND:
So far, there has been no tool to estimate activity at diagnosis and predict all-cause mortality in patients with ANCA-associated vasculitis (AAV). Hence, we determined the initial predictors of them in patients with AAV.
METHODS:
We retrospectively reviewed the medical records of 182 patients with AAV. Severe AAV was defined as Birmingham Vasculitis Activity Score (BVAS) โฅ 16. The cutoffs were extrapolated by the receiver operator characteristic (ROC) curve. The odds ratio (OR) and the relative risk (RR) were assessed using the multivariable logistic regression analysis and the chi-square test, respectively.
RESULTS:
In the comparison analysis, patients with severe AAV exhibited the higher neutrophil and platelet counts, creatinine, erythrocyte sedimentation rate and C-reactive protein, and the lower lymphocyte count, hemoglobin, and serum albumin than those without. In the multivariable logistic regression analysis, creatinine โฅ 0.9 mg/dL (OR 2.264), lymphocyte count โค 1430.0/mm3 (OR 1.856), and hemoglobin โค 10.8 g/dL (OR 2.085) were associated with severe AAV. We developed a new equation of a multivariable index for AAV (MVIA) = 0.6 ร (Lymphocyte count โค 1430.0/mm3 ) + 0.7 ร (Hemoglobin โค 10.8 g/dL) + 0.8 ร (Creatinine โฅ 0.9 mg/dL). The optimal cutoff of MVIA for severe AAV was set as 1.35. Severe AAV was identified more frequently in patients with MVIA at diagnosis โฅ1.35 than those without (RR 4.432). Patients with MVIA at diagnosis โฅ1.35 exhibited the lower cumulative patient survival rate than those without.
CONCLUSION:
Multivariable index for AAV could assess the cross-sectional activity and predict all-cause mortality in patients with AAV.ope
Antineutrophil Cytoplasmic Antibody-Associated Vasculitis in Korea: A Narrative Review
Antineutrophil cytoplasmic antibody-associated vasculitis (AAV) is a group of systemic necrotising vasculitides, which often involve small vessels, and which lead to few or no immune deposits in affected organs. According to clinical manifestations and pathological features, AAV is classified into three variants: microscopic polyangiitis, granulomatosis with polyangiitis (GPA), and eosinophilic GPA. The American College of Rheumatology 1990 criteria contributed to the classification of AAV, although currently the algorithm suggested by the European Medicines Agency in 2007 and the Chapel Hill Consensus Conference Nomenclature of Vasculitides proposed in 2012 have encouraged physicians to classify AAV patients properly. So far, there have been noticeable advancements in studies on the pathophysiology of AAV and the classification criteria for AAV in Western countries. However, studies analysing clinical features of Korean patients with AAV have only been conducted and reported since 2000. One year-, 5 year-, and 10 year-cumulative patient survival rates are reported as 96.1, 94.8, and 92.8%. Furthermore, initial vasculitis activity, prognostic factor score, age and specific organ-involvement have been found to be associated with either all-cause mortality or poor disease course. The rate of serious infection is 28.6%, and 1 year-, 5 year- and 10 year-cumulative hospitalised infection free survival rates range from 85.1% to 72.7%. The overall standardised incidence ratio of cancer in AAV patients was deemed 1.43 compared to the general Korean population.ope
Controlling Nutritional Status Score is Associated with All-Cause Mortality in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
PURPOSE:
The controlling nutritional status (CONUT) score was developed to detect undernutrition in patients. Here, we investigated whether the CONUT score estimated at diagnosis could help predict poor outcomes [all-cause mortality, relapse, and end-stage renal disease (ESRD)] of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).
MATERIALS AND METHODS:
We retrospectively reviewed and collated data, including baseline characteristics, clinical manifestations (to calculate AAV-specific indices), and laboratory results, from 196 newly diagnosed AAV patients. Serum albumin, peripheral lymphocyte, and total cholesterol levels (at diagnosis) were used to calculate CONUT scores.
RESULTS:
In total, 111 patients had high CONUT scores (โฅ3), which showed higher frequency of myeloperoxidase-ANCA and ANCA positivity, and demonstrated higher AAV-specific indices. The optimal cut-offs of CONUT score (at diagnosis) for predicting all-cause mortality and ESRD were โฅ3.5 and โฅ2.5, respectively. Patients with CONUT scores higher than the cut-off at diagnosis exhibited lower cumulative and ESRD-free survival rates compared to those with lower scores than the cut-off. In multivariable analyses, diabetes mellitus [hazard ratio (HR): 4.394], five-factor score (HR: 3.051), and CONUT score โฅ3.5 (HR: 4.307) at diagnosis were independent predictors of all-cause mortality, while only serum creatinine (HR: 1.714) was an independent predictor of ESRD occurrence.ope
Rituximab Biosimilar Prevents Poor Outcomes of Microscopic Polyangiitis and Granulomatosis with Polyangiitis as Effectively as Rituximab Originator
Purpose: There has been no extensive study to compare the efficacy between rituximab originator (Mabtheraยฎ) and its biosimilar (Truximaยฎ) for microscopic polyangiitis (MPA) and granulomatosis with polyangiitis (GPA). Here, we investigated the clinical effects of rituximab on poor outcomes of MPA and GPA in Korean patients, and compared those between Mabtheraยฎ and Truximaยฎ.
Materials and methods: We retrospectively reviewed the medical records of a total of 139 patients, including 97 MPA patients and 42 GPA patients. At diagnosis, antineutrophil cytoplasmic antibody positivity and comorbidities were assessed. During follow-up, all-cause mortality, relapse, end-stage renal disease, cerebrovascular accident and acute coronary syndrome were evaluated as poor outcomes. In this study, rituximab was used as either Mabtheraยฎ or Truximaยฎ.
Results: The median age at diagnosis was 60.1 years and 46 patients were men (97 MPA and 42 GPA patients). Among poor outcomes, patients receiving rituximab exhibited a significantly lower cumulative relapse-free survival rate compared to those not receiving rituximab (p=0.002). Nevertheless, rituximab use did not make any difference in other poor outcomes of MPA and GPA except for relapse, which might be a rebuttal to the fact that rituximab use after relapse eventually led to better prognosis. There were no significant differences in variables at diagnosis and during follow-up between patients receiving Mabtheraยฎ and those receiving Truximaยฎ. Patients receiving Truximaยฎ exhibited a similar pattern of the cumulative survival rates of each poor outcome to those receiving Mabtheraยฎ.
Conclusion: Truximaยฎ prevents poor outcomes of MPA and GPA as effectively as does Mabtheraยฎ.ope
Total Haemolytic Complement Activity at Diagnosis as an Indicator of the Baseline Activity of Antineutrophil Cytoplasmic Antibody-associated Vasculitis
Objective. The total haemolytic complement activity (CH50) assay evaluates the functioning of the complement system. Accumulating evidence indicates that the activation of the complement system plays a critical role in the pathogenesis of antineutrophil cytoplasmic antibody-associated vasculitis (AAV). Therefore, this study aimed to investigate whether CH50 levels at diagnosis could reflect the baseline activity of AAV. Methods. This retrospective study included 101 immunosuppressive drug-naรฏve patients with AAV. At diagnosis, all patients underwent clinical assessments for disease activity, including measurement of the Birmingham Vasculitis Activity Score (BVAS) and Five Factor Score (FFS), and laboratory evaluations, such as tests for CH50, C3, and C4 levels. The association between CH50 levels and disease activity was determined. Results. The median BVAS and FFS at diagnosis were 12.0 and 1.0, respectively, whereas the median CH50 level was 60.4 U/mL. There was a negative correlation between the CH50 level and BVAS (r=โ0.241; p=0.015). A CH50 cut-off value of 62.1 U/mL was used to classify the patients into two groups: patients with CH50 levels ๏ผ62.1 U/mL (low-CH50 group) and those with CH50 levels โฅ 62.1 U/mL (high-CH50 group). The low-CH50 group had a higher proportion of patients with high disease activity, based on the BVAS, than the high-CH50 group (52.5% vs. 23.8%, p=0.004). Additionally, the low-CH50 group exhibited a lower relapse- free survival rate than the high-CH50 group; however, this difference was not statistically significant (p=0.082). Conclusion. Low CH50 levels at diagnosis may reflect high baseline activity of AAV.ope
์ฌ๋ฌด์ฑ๊ณผ์ ๋น์ฌ๋ฌด์ฑ๊ณผ๋ฅผ ์ค์ฌ์ผ๋ก
ํ์๋
ผ๋ฌธ(์์ฌ) -- ์์ธ๋ํ๊ต๋ํ์ : ํ์ ๋ํ์ ๊ณต๊ธฐ์
์ ์ฑ
ํ๊ณผ, 2023. 8. ๋ฐ์์ธ.With the increasing crisis of low birth rates, aging population, and youth unemployment, there is growing social interest in the overall life of young people. In an effort to strengthen the function of overseeing youth policies and to solve youth problems, the government has established a Youth Policy Coordination Office within the Prime Minister's Office and enacted the "Youth Basic Act" to expand and substantiate the foundation for promoting youth policies. While support for young people has increased quantitatively as a result of these efforts, analysis of the results and effectiveness of such support is still lacking.
This study aims to empirically analyze the growth and employment effects of promising young startup companies supported by guarantees from the Credit Guarantee Fund. To examine the impact on financial and non-financial performance, we analyzed the relationship between growth, profitability, stability, and employment indicators and the support provided by the Promising Youth Startup Guarantee compared to general guarantees, and derived policy implications. The study analyzed the impact of each guarantee support on the business performance of young (under 39 years old) and startup companies (less than 7 years of experience) receiving guarantee support from the Credit Guarantee Fund between 2016 and 2018, distinguishing between Promising Youth Startup Guarantee and General Guarantee support, from T+1 to T+3.
In this study, we aimed to empirically analyze the growth and job creation effects of start-up companies supported by the Credit Guarantee Fund through the Young Entrepreneur Start-up Guarantee. To determine the impact on financial and non-financial performance indicators, we compared the growth, profitability, stability, and employment metrics of start-ups that received the Young Entrepreneur Start-up Guarantee with those of start-ups that received the General Guarantee from 2016 to 2018. We analyzed the effects of each guarantee on the companies' business performance from T+1 to T+3. Regarding the effects of credit guarantee support, we selected sales revenue, sales growth rate, and total asset growth rate as indicators of growth and compared them. Both the Young Entrepreneur Start-up Guarantee and the General Guarantee showed a tendency for sales revenue to increase from T+1 to T+3, but start-ups that received the Young Entrepreneur Start-up Guarantee showed a greater increase.
Negative effects were observed in the sales growth rate and total asset growth rate, with ratios decreasing from T+1 to T+3, and the negative impact was greater for start-ups that received the Young Entrepreneur Start-up Guarantee. In terms of profitability indicators, the sales operating profit margin did not produce significant results, and the total asset net profit margin showed a negative impact for the General Guarantee in all periods. In terms of stability indicators, the debt ratio had a negative impact on the General Guarantee, with the supported companies' ratios increasing at T+1. The interest coverage ratio did not produce significant results. Regarding non-financial indicators, we found that the Young Entrepreneur Start-up Guarantee showed an increase in employment from T+2 to T+3.
However, as a policy financial instrument, guarantee support should achieve not only simple financial growth but also various non-financial achievements such as enhancing economic vitality, driving innovation growth, creating jobs, and activating investment. Therefore, it is necessary to consider intangible effects such as creating a favorable atmosphere for youth entrepreneurship, increasing employment, and accumulating youth experience. From this perspective, considering that the policy focus from 2016 to 2018 was job creation, it appears that certain policy goals were achieved through the guarantee support examined in this study.
Despite this, in order to enhance the financial impact of guarantee support, it appears necessary to expand the screening capabilities to identify promising youth startups with excellent future growth potential. It is necessary to strengthen human and physical capacities, including organization and infrastructure, to enable the selection of companies with promising growth potential through the advanced future growth evaluation system and to support tailored financial solutions for each company. It is also necessary to strengthen continuous post-management after guarantee support. Continuous management, including various management guidance activities such as tax and management consulting, is needed to help young people overcome obstacles more wisely and cleverly. In addition to simple guarantee and loan support, it is also necessary to diversify support measures through the introduction of innovative financial products such as factoring and new forms of investment.
This study is significant in that it attempts to analyze the effectiveness of supporting promising youth start-ups with the guarantee system compared to general guarantees, which has recently received a lot of social attention, in a reasonable way. However, the study has limitations in that it had to exclude start-up companies in their early stages from the analysis due to difficulties in calculating ratio indicators, and it could only analyze short-term performance for up to 3 years after support due to limitations in data collection, and it was unable to conduct an analysis of non-quantitative and intangible aspects, as well as considering various external factors such as follow-up investments and private financing. Through this study, we hope for more substantial support and systematic management of promising youth start-ups.์ ์ถ์ฐยท๊ณ ๋ นํ์ ๋ฐ๋ฅธ ๋ถ์๋น ์ฆ๊ฐ, ์ฒญ๋
์ค์
๋ฑ์ ์๊ธฐ์์์ ์ฒญ๋
์ ์ถ ์ ๋ฐ์ ๋ํ ์ฌํ์ ์ธ ๊ด์ฌ์ด ์ฆ๊ฐํ๊ณ ์๋ค. ์ ๋ถ ๋ํ ์ฒญ๋
๋ฌธ์ ํด๊ฒฐ ๋ฐ ์ฒญ๋
์ ์ฑ
์ด๊ด ๊ธฐ๋ฅ ๊ฐํ๋ฅผ ์ํด ๊ตญ๋ฌด์กฐ์ ์ค ๋ด ์ฒญ๋
์ ์ฑ
์กฐ์ ์ค์ ๋ง๋ จํ๊ณ ใ์ฒญ๋
๊ธฐ๋ณธ๋ฒใ์ ์ ์ ํ๋ ๋ฑ ์ฒญ๋
์ ์ฑ
์ถ์ง์ ๋ํ ๊ธฐ๋ฐํ๋ ๋ฐ ๋ด์คํ๋ฅผ ์ํด ๋
ธ๋ ฅ์ ์ง์ํ๊ณ ์๋ ์ค์ด๋ค. ์ด๋ฌํ ๋
ธ๋ ฅ์ ํ์
์ด ์ฒญ๋
์ ๋ํ ์ง์์ ์์ ์ผ๋ก ๊ธ์ฆํ์์ผ๋, ์์ง ๊ทธ์ ๋ํ ์ฑ๊ณผ ๋ฐ ์คํจ์ฑ์ ๋ํ ๋ถ์์ ๋ฏธ๋นํ ์ํฉ์ด๋ค.
์ด์ ๋ณธ ์ฐ๊ตฌ์์๋ ์ ์ฉ๋ณด์ฆ๊ธฐ๊ธ์ผ๋ก๋ถํฐ ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
๋ณด์ฆ์ ์ง์๋ฐ์ ๊ธฐ์
์ ์ฑ์ฅ ๋ฐ ๊ณ ์ฉ์ฐฝ์ถ ํจ๊ณผ๋ฅผ ์ค์ฆ ๋ถ์ํ๊ณ ์ ํ์๋ค. ์ฌ๋ฌด์ ์ฑ๊ณผ, ๋น์ฌ๋ฌด์ ์ฑ๊ณผ์ ๋ฏธ์น๋ ์ํฅ์ ํ์ธํ๊ธฐ ์ํด, ์ฑ์ฅ์ฑ, ์์ต์ฑ, ์์ ์ฑ, ๊ณ ์ฉ์ธ์ ์งํ๊ฐ ์ ๋ง์ฒญ๋
์ฐฝ์
๋ณด์ฆ์ง์๊ณผ ์ด๋ ํ ์๊ด๊ด๊ณ๋ฅผ ๋ณด์ด๋์ง๋ฅผ ์ผ๋ฐ๋ณด์ฆ๊ณผ ๋น๊ตํ์ฌ ๋ถ์ํ๊ณ ์ ์ฑ
์ ์์ฌ์ ์ ๋์ถํ๊ณ ์ ํ์๋ค. 2016๋
๋ถํฐ 2018๋
๊น์ง ์ ์ฉ๋ณด์ฆ๊ธฐ๊ธ์ผ๋ก๋ถํฐ ๋ณด์ฆ์ง์์ ๋ฐ์ ์ฒญ๋
(๋ง39์ธ์ดํ)ยท์ฐฝ์
(์
๋ ฅ7๋
๋ฏธ๋ง)๊ธฐ์
์ ๋์์ผ๋ก ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
๋ณด์ฆ, ์ผ๋ฐ๋ณด์ฆ ์ง์ ๊ธฐ์
์ผ๋ก ๊ตฌ๋ถํ์ฌ ๊ฐ ๋ณด์ฆ์ง์์ด ๊ธฐ์
์ ๊ฒฝ์์ฑ๊ณผ์ ์ด๋ ํ ์ํฅ์ ๋ฏธ์ณค๋์ง๋ฅผ T+1๊ธฐ๋ถํฐ T+3๊ธฐ๊น์ง ๋ถ์ํ์๋ค.
์ ์ฉ๋ณด์ฆ ์ง์ํจ๊ณผ ์ค ์ฑ์ฅ์ฑ ์งํ๋ ๋งค์ถ์ก, ๋งค์ถ์ก์ฆ๊ฐ์จ ๋ฐ ์ด์์ฐ์ฆ๊ฐ์จ์ ์ ์ ํ์ฌ ๋น๊ต๋ถ์ ํ์๋ค. ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
๋ณด์ฆ๊ณผ ์ผ๋ฐ๋ณด์ฆ ์ง์๊ธฐ์
๋ชจ๋ ๋งค์ถ์ก์ด T+1๊ธฐ๋ถํฐ T+3๊ธฐ๊น์ง ๋ชจ๋ ์ฆ๊ฐํ๋ ๊ฒฝํฅ์ ๋ณด์ด๋, ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
๋ณด์ฆ ์ง์๊ธฐ์
์ ๋งค์ถ์ก ์ฆ๊ฐ ํญ์ด ๋ ํฐ ๊ฒ์ผ๋ก ๋ถ์๋์๋ค. ๋งค์ถ์ก์ฆ๊ฐ์จ, ์ด์์ฐ์ฆ๊ฐ์จ์์๋ T+1๊ธฐ๋ถํฐ T+3๊ธฐ๊น์ง ๋ชจ๋ ๋น์จ์ด ๊ฐ์ํ๋ ๋ถ์ ์ ํจ๊ณผ๊ฐ ๋ฐ์ํ๋ ๊ฒ์ผ๋ก ๋ถ์๋์์ผ๋ฉฐ, ๊ทธ ํญ์ ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
๋ณด์ฆ์์ ๋ ํฐ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ์์ต์ฑ ์งํ์์๋ ๋งค์ถ์ก์์
์ด์ต๋ฅ ์งํ๋ ์ ์๋ฏธํ ๊ฒฐ๊ณผ๋ฅผ ๋์ถํ์ง ๋ชปํ์๊ณ , ์ด์์ฐ์์ด์ต๋ฅ ์ ์ผ๋ฐ๋ณด์ฆ์ ๋ชจ๋ ๊ธฐ๊ฐ์์ ๋ถ์ ์ ์ธ ์ํฅ์ ๋ฏธ์น ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ์์ ์ฑ ์งํ์์ ๋ถ์ฑ๋น์จ์ T+1๊ธฐ์ ์ผ๋ฐ๋ณด์ฆ ์ง์๊ธฐ์
์ ๋น์จ์ด ์์นํ๋ ๋ถ์ ์ ์ธ ์ํฅ์ ๋ฏธ์น๊ณ , ์ด์๋ณด์๋ฐฐ์จ์์๋ ์ ์๋ฏธํ ๋ถ์๊ฒฐ๊ณผ๋ฅผ ๋์ถํ์ง ๋ชปํ๋ค. ๋น์ฌ๋ฌด์งํ์์๋ ์ ๋ง์ฒญ๋
์ฐฝ์
๋ณด์ฆ์ ๊ฒฝ์ฐ T+2๊ธฐ์ T+3๊ธฐ์ ๊ณ ์ฉ์ธ์์ด ์ฆ๊ฐํ ๊ฒ์ ํ์ธํ ์ ์์๋ค.
๋ค๋ง, ์ ์ฑ
๊ธ์ต ์๋จ์ ํ๋์ธ ๋ณด์ฆ ์ง์์ ๋จ์ ์ฌ๋ฌด์ ์ฑ์ฅ๋ฟ ์๋๋ผ ์ถ๊ฐ์ ์ผ๋ก ๊ฒฝ์ ํ๋ ฅ ์ ๊ณ , ํ์ ์ฑ์ฅ ๊ฒฌ์ธ, ์ผ์๋ฆฌ ์ฐฝ์ถ, ํฌ์ ํ์ฑํ ๋ฑ ๋ค์ํ ๋น์ฌ๋ฌด์ ์ฑ๊ณผ๋ฅผ ๋ฌ์ฑํด์ผ ํ๋ฉฐ, ์ด์ ๋ฐ๋ผ ์ฒญ๋
์ฐฝ์
๋ถ์๊ธฐ ์กฐ์ฑ ๋ฐ ๊ณ ์ฉ ์ฆ๋ ๋ฐ ์ฒญ๋
๊ฒฝํ ์ถ์ ๊ณผ ๊ฐ์ ๋ฌดํ์ ํจ๊ณผ ๋ํ ๊ณ ๋ คํ ํ์๊ฐ ์๋ค. ์ด๋ฌํ ๊ด์ ์์ ๋ณธ ์ฐ๊ตฌ์ ๋์๋๋ 2016๋
์์ 2018๋
๊น์ง์ ์ ์ฑ
ํ๋๊ฐ ์ผ์๋ฆฌ ์ฐฝ์ถ์ด์๋ค๋ ์ ์ ๊ฐ์ํ ๋, ํด๋น ๋ณด์ฆ์ ํตํด ์ผ์ ๋ถ๋ถ์ ์ ์ฑ
๋ชฉํ๋ ๋ฌ์ฑํ ๊ฒ์ผ๋ก ๋ณด์ฌ์ง๋ค.
๊ทธ๋ผ์๋ ๋ณด์ฆ์ง์์ ์ฌ๋ฌด์ ํจ๊ณผ๋ฅผ ์ ๊ณ ํ๊ธฐ ์ํด ๋ฏธ๋์ฑ์ฅ์ฑ์ด ์ฐ์ํ ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
์ ๋ฐ๊ตดํด ๋ผ ์ ์๋ ์ฌ์ฌ์ญ๋์ ๋ณด๋ค ํ์ถฉํ ํ์๊ฐ ์์ ๊ฒ์ผ๋ก ๋ณด์ธ๋ค. ๋ฏธ๋์ฑ์ฅ์ฑ ํ๊ฐ์ฒด๊ณ๋ฅผ ๊ณ ๋ํํ์ฌ ์ฑ์ฅ์ฑ์ด ์ํธํ ๊ธฐ์
์ ์ ๋ณํ๊ณ , ๊ธฐ์
์ ๋ง๋ ๋ง์ถคํ ๊ธ์ต์ ์ง์ํ ์ ์๋๋ก ์กฐ์ง๊ณผ ์ธํ๋ผ ๋ฑ์ ํฌํจํ ์ธ์ ยท๋ฌผ์ ์ญ๋์ ํ์ถฉํ ํ์๊ฐ ์๋ค. ๋ณด์ฆ์ง์ ์ดํ ์ง์์ ์ฌํ๊ด๋ฆฌ๋ ๊ฐํํ ํ์๊ฐ ์๋ค. ์ฒญ๋
๋ค์ด ๊ฒช๊ฒ ๋ ๋๊ด์ ๋ณด๋ค ์งํ๋กญ๊ณ ์ฌ๊ธฐ๋กญ๊ฒ ํค์ณ๋๊ฐ์ ์๋๋ก ์ธ๋ฌดยท๊ฒฝ์ ์ปจ์คํ
๋ฑ ๋ค์ํ ๊ฒฝ์์ง๋ ํ๋์ ํฌํจํ ์ง์์ ๊ด๋ฆฌ๊ฐ ํ์ํ ๊ฒ์ผ๋ก ๋ณด์ด๊ณ , ๋จ์ ๋ณด์ฆ์ง์ ๋ฐ ๋์ถ์ง์์ ํํ๋ฟ ์๋๋ผ ํฉํ ๋ง, ์๋ก์ด ๋ฐฉ์์ ํฌ์ ๋ฑ ํ์ ๊ธ์ต์ํ ๋์
์ ํตํด ์ง์๋ฐฉ์์ ๋ค๊ฐํํ ํ์๋ ์๋ค.
๋ณธ ์ฐ๊ตฌ๋ ์ต๊ทผ ์ฌํ์ ๊ด์ฌ์ด ๋์ ์ฒญ๋
์ธต์ ๋์์ผ๋ก ํ ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
๋ณด์ฆ์ ์ง์์ฑ๊ณผ๋ฅผ ์ผ๋ฐ๋ณด์ฆ๊ณผ ๋น๊ตํ์ฌ ํฉ๋ฆฌ์ ์ผ๋ก ์ ๊ทผ์ ์๋ํ์ฌ ๋ถ์ํ ์ ์ ์๋ฏธ๊ฐ ์๋ค๊ณ ํ ์ ์๋ค. ๋ค๋ง, ๋น์จ์งํ ์ฐ์ ๊ณค๋์ผ๋ก ์ธํด ์ฐฝ์
์ด๊ธฐ๊ธฐ์
๋ค์ ๋ถ์๋์์์ ์ ์ธํ ์ ๋ฐ์ ์์๋ ์ ๊ณผ, ์๋ฃ์์ง ํ๊ณ๋ก ์ธํด ์ง์ ํ 3๋
๊น์ง์ ๋จ๊ธฐ์ ์ฑ๊ณผ๋ง์ ๋์์ผ๋ก ๋ถ์ํ์ฌ ์ฅ๊ธฐ์ ์ธ ์ธก๋ฉด์์์ ๋ถ์์ด ์ด๋ฃจ์ด์ง์ง ๋ชปํ ์ , ๊ทธ๋ฆฌ๊ณ ๋น๊ณ๋์ ยท๋ฌดํ์ ์ธก๋ฉด์ ๋ถ์์ ์ค์ํ์ง ๋ชปํ ์ ๋ฐ ํ์ํฌ์, ๋ฏผ๊ฐ๊ธ์ต ๋ฑ ๋ค์ํ ์ธ์ ์์ธ๋ค์ ๊ณ ๋ คํ์ง ๋ชปํ ์ ๋ฑ์ ํ๊ณ๋ก ์ ์ํ์๋ค. ๋ณธ ์ฐ๊ตฌ๋ฅผ ํตํด ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
์ ๋ํ ๋ณด๋ค ๋ด์ค์๋ ์ง์๊ณผ ์ฒด๊ณ์ ๊ด๋ฆฌ๊ฐ ์ด๋ฃจ์ด์ง๊ธธ ๊ธฐ๋ํ๋ค.์ 1 ์ฅ ์๋ก 1
์ 1 ์ ์ฐ๊ตฌ์ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 1
์ 2 ์ ์ฐ๊ตฌ์ ๋ฒ์ ๋ฐ ๋ฐฉ๋ฒ 3
์ 2 ์ฅ ์ด๋ก ์ ๋
ผ์์ ์ ํ์ฐ๊ตฌ ๊ฒํ 4
์ 1 ์ ์ด๋ก ์ ๋
ผ์ 4
1. ์ฒญ๋
์ ์ ์ 4
2. ์ฒญ๋
์ ์ฑ
์ ๋ํ ๋
ผ์ 5
3. ์ ์ฑ
๊ธ์ต 7
4. ์ ์ฉ๋ณด์ฆ 10
5. ์ ๋ง์ฒญ๋
์ฐฝ์
๊ธฐ์
๋ณด์ฆ 13
์ 2 ์ ์ ํ์ฐ๊ตฌ ๊ฒํ 15
1. ์ ์ฉ๋ณด์ฆ ์ง์์ ๋ฐ๋ฅธ ์ฌ๋ฌด ์ฑ๊ณผ๋ถ์ 15
2. ์ ์ฉ๋ณด์ฆ ์ง์์ ๋ฐ๋ฅธ ๊ณ ์ฉ์ฐฝ์ถ ํจ๊ณผ 18
3. ์ ํ์ฐ๊ตฌ์์ ์ฐจ๋ณ์ฑ 19
์ 3 ์ฅ ์ฐ๊ตฌ์ค๊ณ 21
์ 1 ์ ์ฐ๊ตฌ์ ์ฐจ 21
์ 2 ์ ์ฐ๊ตฌ๋ฌธ์ ๋ฐ ๊ฐ์ค์ค์ 22
1. ์ฐ๊ตฌ๋ฌธ์ 22
2. ๊ฐ์ค์ค์ 22
์ 3 ์ ์ฐ๊ตฌ์ ๋ถ์ํ๊ณผ ๋ณ์์ ์ ์ 24
1. ์ฐ๊ตฌ์ ๋ถ์ํ 24
2. ๋ณ์์ ์กฐ์์ ์ ์ 25
์ 4 ์ ์๋ฃ์์ง ๋ฐ ๋ถ์๋ฐฉ๋ฒ 29
1. ์๋ฃ์์ง 29
2. ๋ถ์๋ฐฉ๋ฒ 29
์ 4 ์ฅ ์ค์ฆ ๋ถ์๊ฒฐ๊ณผ 31
์ 1 ์ ๋ถ์๋์ ๋ฐ ๊ธฐ์ ํต๊ณ๋ ๋ถ์ 31
1. ๋ถ์๋์ ์๋ฃ ๋ฐ ํ๋ณธ ์ถ์ถ 31
2. ๊ธฐ์ ํต๊ณ๋ 33
์ 2 ์ ์๊ด๋ถ์ ๊ฒฐ๊ณผ 39
์ 3 ์ ๋ค์คํ๊ท๋ถ์๊ฒฐ๊ณผ 40
1. ์ฑ์ฅ์ฑ์ ๋ฏธ์น๋ ํจ๊ณผ ๋ถ์ 40
2. ์์ต์ฑ์ ๋ฏธ์น๋ ํจ๊ณผ ๋ถ์ 44
3. ์์ ์ฑ์ ๋ฏธ์น๋ ํจ๊ณผ ๋ถ์ 46
4. ๊ณ ์ฉ์ฐฝ์ถํจ๊ณผ์ ๋ฏธ์น๋ ํจ๊ณผ ๋ถ์ 49
์ 5 ์ฅ ๊ฒฐ๋ก 50
์ 1 ์ ์ฐ๊ตฌ๊ฒฐ๊ณผ ์์ฝ 50
์ 2 ์ ์ฐ๊ตฌ์ ์์ฌ์ 52
์ 3 ์ ์ฐ๊ตฌ์ ํ๊ณ ๋ฐ ํฅํ๊ณผ์ 53
์ฐธ๊ณ ๋ฌธํ 55
๋ถ ๋ก 58
Abstract 64์
Novel mortality-predicting index at diagnosis can effectively predict all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis
Background: This study investigated whether the inflammation prognostic index (IPI) and the mortality predicting index (MPI) at diagnosis could predict all-cause mortality in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).
Methods: We included 223 AAV patients and reviewed their medical records. Clinical and laboratory data and AAV-specific indices at diagnosis were assessed. The IPI was calculated as neutrophil-to-lymphocyte ratio (NLR) ร C-reactive protein to albumin ratio (CAR). Here, we newly developed an MPI (NLR ร CAR ร monocyte counts).
Results: The mean age of 223 patients (122 MPA, 57 GPA and 44 EGPA patients) was 59 years. The rate of mortality was 11.2%. Using the receiver operator characteristic curve for all-cause mortality, the cut-offs were calculated as NLR: 3.22, CAR: 3.25, IPI: 18.53 and MPI: 8367.82. In the univariable Cox hazard analysis, age, gender, smoking history, BVAS, FFS and over the cut-off of each index showed statistical significance. As the indices share at least two mutual variables, the multivariable analysis was conducted four times based on each index. An IPI โฅ18.53 (HR 3.162) and MPI โฅ8367.82 (HR 3.356) were significantly associated with all-cause mortality.
Conclusions: This study developed a novel indicator, MPI, that uses the existing NLR and CAR indices and proved that it could predict all-cause mortality in AAV patients.ope
- โฆ