• 제목/요약/키워드: diabetic retinopathy studies

검색결과 13건 처리시간 0.023초

Validity of the diagnosis of diabetic microvascular complications in Korean national health insurance claim data

  • Kim, Hyung Jun;Park, Moo-Seok;Kim, Jee-Eun;Song, Tae-Jin
    • Annals of Clinical Neurophysiology
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    • 제24권1호
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    • pp.7-16
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    • 2022
  • Background: There is inadequate information on the validation of diabetic microvascular complications in the Korean National Health Insurance Service data set. We aimed to validate the diagnostic algorithms regarding the nephropathy, neuropathy, and retinopathy of diabetes. Methods: From various secondary and tertiary medical centers, we selected 6,493 patients aged ≥ 40 years who were diagnosed with diabetic microvascular complications more than once based on codes in the 10th version of the International Classification of Diseases (ICD-10). During 2019 and 2020, we randomly selected the diagnoses of 200 patients, 100 from each of two hospitals. The positive predictive value (PPV), negative predictive value, error rate, sensitivity, and specificity were determined for each diabetic microvascular complication according to the ICD-10 codes, laboratory findings, diagnostic studies, and treatment procedure codes. Results: Among the 200 patients who visited the hospital more than once and had the diagnostic codes of diabetic microvascular complications, 142, 110, and 154 patients were confirmed to have the gold standard of diabetic nephropathy (PPV, 71.0%), diabetic neuropathy (PPV, 55.0%), and diabetic retinopathy (PPV, 77.0%), respectively. The PPV and specificity of diabetic nephropathy (PPV, 71.0-81.4%; specificity, 10.3-53.4%), diabetic neuropathy (PPV, 55.0-81.3%; specificity, 66.7-76.7%) and diabetic retinopathy (PPV, 77.0-96.6%; specificity, 2.2-89.1%) increased after combining them with the laboratory findings, diagnostic studies, and treatment procedures codes. These change trends were observed similarly for both hospitals. Conclusions: Defining diabetic microvascular complications using ICD-10 codes and their related examination codes may be a feasible method for studying diabetic complications.

Analyzing Clustered and Interval-Censored Data based on the Semiparametric Frailty Model

  • Kim, Jin-Heum;Kim, Youn-Nam
    • 응용통계연구
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    • 제25권5호
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    • pp.707-718
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    • 2012
  • We propose a semi-parametric model to analyze clustered and interval-censored data; in addition, we plugged-in a gamma frailty to the model to measure the association of members within the same cluster. We propose an estimation procedure based on EM algorithm. Simulation results showed that our estimation procedure may result in unbiased estimates. The standard error is smaller than expected and provides conservative results to estimate the coverage rate; however, this trend gradually disappeared as the number of members in the same cluster increased. In addition, our proposed method was illustrated with data taken from diabetic retinopathy studies to evaluate the effectiveness of laser photocoagulation in delaying or preventing the onset of blindness in individuals with diabetic retinopathy.

당뇨병성 망막병증에 대한 보양환오탕(補陽還五湯)의 효과: 체계적 문헌 고찰 및 메타분석 (The Effect of Boyanghwano-tang for Diabetic Retinopathy: A Systematic Review and Meta-Analysis)

  • 오정화;김혜나;윤화정
    • 한방안이비인후피부과학회지
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    • 제36권4호
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    • pp.51-69
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    • 2023
  • Objectives : The purpose of this study is to assess the effect of using Boyanghwano-tang(BYHWT) for diabetic retinopathy. Methods : We searched randomized controlled trials(RCTs) that used BYHWT for diabetic retinopathy in 10 databases(RISS, KISS, ScienceON, KCI, OASIS, DBpia, CNKI, Wanfang Database, PubMed, Cochrane Library) on August 12, 2023. Outcome measurements included total effective rate(TER) and visual acuity as the primary outcome measurements, and the secondary outcome measurements included fasting blood glucose(FBG), 2hPG, HbA1c, ET-1, NO, etc. The indicator of stability included adverse reactions. A meta-analysis was conducted according to TER, visual acuity, FBG. Results : A total of 8 randomized control trials were selected. The treatment group which used BYHWT showed significant improvement effects in TER and visual acuity compared to the control group which used western medicine or chinese patent medicine alone. TER: (RR: 1.22, CI 1.14 to 1.31, P=<0.00001), visual acuity: (RR: 2.06, CI 1.40 to 3.03, P=0.0002). Secondary outcome measurements including FBG also showed improvement in the treatment group compared to the control group. FBG: (MD: -0.15, CI -0.43 to 0.31, P=0.28). Adverse reactions were only mentioned in one study, which showed that no adverse reactions occurred in both the treatment and control groups. Conclusions : This study suggests that BYHWT is effective for diabetic retinopathy. However these findings should be interpreted cautiously due to the insufficient number of studies and unknown or high risk of bias in the included trials.

Advanced Glycation End Products and Diabetic Complications

  • Singh, Varun Parkash;Bali, Anjana;Singh, Nirmal;Jaggi, Amteshwar Singh
    • The Korean Journal of Physiology and Pharmacology
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    • 제18권1호
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    • pp.1-14
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    • 2014
  • During long standing hyperglycaemic state in diabetes mellitus, glucose forms covalent adducts with the plasma proteins through a non-enzymatic process known as glycation. Protein glycation and formation of advanced glycation end products (AGEs) play an important role in the pathogenesis of diabetic complications like retinopathy, nephropathy, neuropathy, cardiomyopathy along with some other diseases such as rheumatoid arthritis, osteoporosis and aging. Glycation of proteins interferes with their normal functions by disrupting molecular conformation, altering enzymatic activity, and interfering with receptor functioning. AGEs form intra- and extracellular cross linking not only with proteins, but with some other endogenous key molecules including lipids and nucleic acids to contribute in the development of diabetic complications. Recent studies suggest that AGEs interact with plasma membrane localized receptors for AGEs (RAGE) to alter intracellular signaling, gene expression, release of pro-inflammatory molecules and free radicals. The present review discusses the glycation of plasma proteins such as albumin, fibrinogen, globulins and collagen to form different types of AGEs. Furthermore, the role of AGEs in the pathogenesis of diabetic complications including retinopathy, cataract, neuropathy, nephropathy and cardiomyopathy is also discussed.

Ginseng for an eye: effects of ginseng on ocular diseases

  • Kim, Jisu;Han, Su-Young;Min, Hyeyoung
    • Journal of Ginseng Research
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    • 제44권1호
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    • pp.1-7
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    • 2020
  • The sense of vision is the primary means by which we gather information from our surroundings, and vision loss, therefore, severely compromises the life of the affected individuals, their families, and society. Loss of vision becomes more frequent with age, and diabetic retinopathy, age-related macular degeneration, cataracts, and glaucoma are the major causes of vision impairment. To find active pharmacological compounds that might prevent or ameliorate the vision-threatening eye diseases, numerous studies have been performed, and some botanical compounds, including those extracted from ginseng, have been shown to possess beneficial effects in the treatment or prevention of common ocular diseases. In this review, we summarize the recent reports investigating the therapeutic effects of ginseng and ginsenosides on diverse ocular diseases and discuss their therapeutic potential.

In Vitro Culture of Endothelial Cell and Smooth Muscle Cell for Studying Vascular Diseases

  • Kim, Joo-Young
    • Journal of Yeungnam Medical Science
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    • 제27권2호
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    • pp.91-97
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    • 2010
  • 암세포의 전이, 죽상경화증, 당뇨성 망막병증과 같은 병적인 과정에서 혈관내피세포는 핵심적인 역할을 담당한다. 죽상경화증의 죽종 형성에 혈관민무늬근육세포가 직접적으로 관여한다. 배꼽정맥, 혈관내벽, 그리고 망막에 있는 이들 내피세포들은 다양한 효소용액들을 이용하여 얻는다. 순수하게 분리된 이들 세포는 내피세포와 관련된 질병의 시험관 내 연구에 있어 중요한 모델이다. 이러한 관점에서 볼 때 대동맥 벽의 중간막에서 분리한 후 배양한 민무늬근육세포도 죽상경화증의 발병을 설명할 수 있다. 이 종설에서는 사람배꼽정맥내피세포(HUVEC),대동맥의 내피세포 및 민무늬근육세포, 그리고 망막미세혈관내피세포(RMEC)의 분리 뿐 만 아니라 이들 세포를 이용한 질병연구에 관한 논문들을 소개하고자 한다.

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Role of the CCN protein family in cancer

  • Kim, Hyungjoo;Son, Seogho;Shin, Incheol
    • BMB Reports
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    • 제51권10호
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    • pp.486-492
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    • 2018
  • The CCN protein family is composed of six matricellular proteins, which serve regulatory roles rather than structural roles in the extracellular matrix. First identified as secreted proteins which are induced by oncogenes, the acronym CCN came from the names of the first three members: CYR61, CTGF, and NOV. All six members of the CCN family consist of four cysteine-rich modular domains. CCN proteins are known to regulate cell adhesion, proliferation, differentiation, and apoptosis. In addition, CCN proteins are associated with cardiovascular and skeletal development, injury repair, inflammation, and cancer. They function either through binding to integrin receptors or by regulating the expression and activity of growth factors and cytokines. Given their diverse roles related to the pathology of certain diseases such as fibrosis, arthritis, atherosclerosis, diabetic nephropathy, retinopathy, and cancer, there are many emerging studies targeting CCN protein signaling pathways in attempts to elucidate their potentials as therapeutic targets.

심층 컨볼루션 신경망을 이용한 OCT 볼륨 데이터로부터 AMD 진단 (AMD Identification from OCT Volume Data using Deep Convolutional Neural Network)

  • 권오흠;정유진;송하주
    • 한국멀티미디어학회논문지
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    • 제20권8호
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    • pp.1291-1298
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    • 2017
  • Optical coherence tomography (OCT) is the most common medical imaging device with the ability to image the retina in eyes at micrometer resolution and to visualize the pathological indicators of many retinal diseases such as Age-Related Macular Degeneration (AMD) and diabetic retinopathy. Accordingly, there have been research activities to analyze and process OCT images to identify those indicators and make medical decisions based on the findings. In this paper, we use a deep convolutional neural network for analysis of OCT volume data to distinguish AMD from normal patients. We propose a novel approach where images in each OCT volume are grouped together into sub-volumes and the network is trained by those sub-volumes instead of individual images. We conducted an experiment using public data set to evaluate the performance of the proposed approach. The experiment confirmed performance improvement of our approach over the traditional image-by-image training approach.

한약재의 신생혈관생성 억제 활성에 관한 연구 (Studies on Angiogenesis Inhibition Activity of Traditional Herb Extract)

  • 전원경;이태희;윤유식;김연옥;성현제
    • 한국한의학연구원논문집
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    • 제4권1호통권4호
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    • pp.129-138
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    • 1998
  • Angiogenesis, the formation of new blood vessels, is considered to be involved in many pathological symptoms such as diabetic retinopathy, arthritis, inflammation and solid tumour. In particular, it is thought that angiogenesis is critical for development and growth of solid tumour. Recent study shows that there is a highly significant association of microvessel density with overall survival and relapse-free survival in patients with breast tumour In this study, the inhibition effect of angiogenesis of traditional herbs used for the treatment of cancer was examined. It was found out that the extract of Agaricus blazei by boiling water is a possible inhibitor of angiogenesis. It inhibited normal developmental angiogenesis In the chorioallantoic membrane of chick embryos and also inhibited capillary-like tube formation by endotherial cells on matrigel in vitro. These results suggest that Agaricus blazei can be a potent angiogenesis inhibitor.

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A GEE approach for the semiparametric accelerated lifetime model with multivariate interval-censored data

  • Maru Kim;Sangbum Choi
    • Communications for Statistical Applications and Methods
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    • 제30권4호
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    • pp.389-402
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    • 2023
  • Multivariate or clustered failure time data often occur in many medical, epidemiological, and socio-economic studies when survival data are collected from several research centers. If the data are periodically observed as in a longitudinal study, survival times are often subject to various types of interval-censoring, creating multivariate interval-censored data. Then, the event times of interest may be correlated among individuals who come from the same cluster. In this article, we propose a unified linear regression method for analyzing multivariate interval-censored data. We consider a semiparametric multivariate accelerated failure time model as a statistical analysis tool and develop a generalized Buckley-James method to make inferences by imputing interval-censored observations with their conditional mean values. Since the study population consists of several heterogeneous clusters, where the subjects in the same cluster may be related, we propose a generalized estimating equations approach to accommodate potential dependence in clusters. Our simulation results confirm that the proposed estimator is robust to misspecification of working covariance matrix and statistical efficiency can increase when the working covariance structure is close to the truth. The proposed method is applied to the dataset from a diabetic retinopathy study.