• 제목/요약/키워드: diagnostic indicator

검색결과 154건 처리시간 0.026초

Zinc Status Assessment by Analysis of Mononuclear Cell Metallothionein mRNA Using Competitive-Reverse Transcriptase-Polymerase Chain Reaction

  • Lee, Soo-Lim;Yoon, Jin-Sook;Kwon, Chong-Suk;Beattie, John H.;Kwun, In-Sook
    • Preventive Nutrition and Food Science
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    • 제9권3호
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    • pp.276-282
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    • 2004
  • Marginal Zn deficiency is prevalent through the world and yet human zinc status has not been properly assessed due to the lack of a reliable diagnostic indicator. One potential possibility for zinc status assessment using Zn-binding protein, metallothionein (MT)-mRNA, has been proposed. The purpose of the present study was aimed to show whether measurement of mononuclear cell (MNC) MT mRNA, using a competitive-reverse transcriptase-polymerase chain reaction (competitive-RT-PCR) assay, could indicate zinc status in human subjects. In this study, MNC MT-mRNA expression was measured using a competitive-RT-PCR to compare before and after 14 days of zinc supplementation (50 mg Zn/das zinc gluconate). RT-PCR oligonucleotide primers which were designed to amplify both a 278 bp segment of the human MT-2A cDNA and a 198 bp mutant competitor cDNA template from MNCs, were prepared. MT-2A mRNA was normalized by reference to the housekeeping gene, $\beta$-actin, mRNA for which was also measured by competitive-RT-PCR. There was considerable inter-individual variation in MT-mRNA concentration and yet, the mean MT-2A mRNA level increased 4.7-fold after Zn supplementation, as compared to before Zn supplementation. This MT-2A mRNA level was shown as the same pattern and, even more sensitive assay, compared to the conventional plasma and red blood cells (RBCs) Zn assessment in which plasma and RBCs zinc levels increased 2.3- and 1.2-fold, respectively (p<0.05). We suggest that MT competitive-RT-PCR can be a useful assessment tool for evaluating human zinc status.

An Assessment of Vertebral Left Atrial Size in Relation to the Progress of Myxomatous Mitral Valve Disease in Dogs

  • Kim, Sun Hwa;Seo, Kyoung Won;Song, Kun Ho
    • 한국임상수의학회지
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    • 제37권1호
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    • pp.9-14
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    • 2020
  • Left atrial enlargement (LAE) is an important diagnostic factor in dogs with myxomatous mitral valve disease (MMVD). It is associated with the onset of congestive heart failure (CHF). Recently, a new radiographic left atrial measurement called vertebral left atrial size (VLAS) was introduced. This can be considered as a left atrial enlargement above 2.3. It appears to be related to the severity of MMVD. However, serial changes in VLAS in relation to disease progression and improvement in patients have yet to be studied. This study aims to assess the value of VLAS as a left atrial size monitoring indicator by examining correlations with VHS, LA/Ao ratio and LVIDDN, and comparing serial changes in dogs. A total of 126 dogs were studied with their owners' consent. The dogs were classified into four MMVD groups (Control, B1, B2, C-D) following the ACVIM Guideline by performing a physical examination, radiography and echocardiography. Besides, 24 and 17 dogs were reevaluated to compare values in relation to the progression and improvement of MMVD. VLAS showed significant increase according to the progress of the MMVD stage. This was the same in the Maltese breed group. A strong positive correlation was found between LVIDDN, VHS, LA/Ao ratio, and VLAS. The results of this study found VLAS to be significantly different according to left atrium size, and there was a correlation between disease progression and VLAS levels in each dog. Therefore, VLAS may be used to detect changes in left atrium size as an additional monitoring index of MMVD.

비정상 ECG 진단의 에너지 효율적인 재구성 가능한 가속을 위한 OpenCL 기반 FPGA-GPU 혼합 계층 적응 처리 알고리즘 할당 (Adaptive Processing Algorithm Allocation on OpenCL-based FPGA-GPU Hybrid Layer for Energy-Efficient Reconfigurable Acceleration of Abnormal ECG Diagnosis)

  • 이동규;이승민;박대진
    • 한국정보통신학회논문지
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    • 제25권10호
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    • pp.1279-1286
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    • 2021
  • Electrocardiogram (ECG) 신호는 심장의 이상을 조기에 진단하기 위한 좋은 지표이다. ECG 신호는 사람마다 기준이 되는 정상 신호의 형태가 다르고, 진단에 많은 데이터가 필요하다. 본 논문에서는 ECG 신호 진단을 효율적으로 가속하기 위한 OpenCL을 기반 FPGA-GPU 혼합 계층 적응형 플랫폼을 제안한다. 플랫폼에서 MIT-BIH 부정맥 신호데이터의 19870개 ECG 신호를 진단한 결과 FPGA 가속기는 진단 시간이 1.15s로 소프트웨어로 실행했을 때보다 89.94% 감소하였고, 전력 소모는 84.0% 감소하였다. GPU 가속기는 실행 시간이 소프트웨어 대비 83.56% 감소한 1.87s였으며, 전력 소모는 62.3% 감소하였다. 제안하는 FPGA-GPU 혼합 플랫폼은 FPGA 가속기보다 진단 속도가 느리지만 GPU를 이용하여 상황에 따라 유연한 알고리즘을 동작할 수 있다.

알츠하이머병 환자의 이상행동심리증상(BPSD)에 대한 한약과 양약의 병용 효과에 대한 연구: 체계적 문헌 고찰 (A Study on the Combination Effect of Herbal Medicine and Western Medicine on BPSD in Patients with Alzheimer's Disease: A Systematic Review)

  • 김만기;장석주;홍민호;김근우;구병수
    • 동의신경정신과학회지
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    • 제31권4호
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    • pp.301-314
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    • 2020
  • Objectives: The purpose of this study was to provide clinical evidence to support the use of herbal medicine combined with western medicine for BPSD. Methods: Studies were identified by searching CNKI, Pubmed, EMBASE, Cochrane Library, SCIENCEON, RISS, KMbase, KISS, OASIS. Literature searches of Chinese, English, and Korean databases were performed. Two authors independently extracted the data and evaluated the quality of each study. Results: The literature search identified 203 articles. Of these, 7 were selected for the analysis. The risk of bias in most studies was unclear. The most frequently used diagnostic tools were the NINCDS-ADRDA and DSM-IV. The most commonly used results indicator was NPI. In 6 of the 7 papers, combination treatment (herbal & Western medicine) was statistically significantly more effective than single treatment (Western medicine alone) for BPSD. No significant adverse events were reported. Conclusions: Herbal medicine in combination with Western medicine is more effective for treating BPSD than Western medicine alone. However, the quality of the studies used in this study was uncertain and the sample size was too small. Based on the findings of this study, more high-quality clinical trials are needed to confirm the efficacy of combination treatment.

뇌동맥류 코일 색전술 시술 시 동맥류 크기 및 위치에 따른 방사선량 평가 (Evaluation of Radiation Dose according to Aneurysm Size and Location during Cerebral Aneurysm Coil Embolization)

  • 안현
    • 대한방사선기술학회지:방사선기술과학
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    • 제45권5호
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    • pp.407-412
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    • 2022
  • Cerebral aneurysm coil embolization has the advantages of accurate, low patient burden, and fast recovery time, but efforts are needed to reduce dose due to the burden of exposure radiation dose during interventional procedures. In this study, the area dose product(DAP/Gy·cm2) and fluoro time(min) according to the size of the aneurysm and the location of aneurysm were investigated according to insurance recognition regulations aneurysm classification cerebral aneurysm coil embolization. According to the research method, classification according to the size and location of the aneurysm is first, the size of the aneurysm is divided into less than 4mm, more than 4mm to less than 8mm, and more than 8mm, and second, the dose to the area based on the location site (DAP/Gy·cm2) and fluoro time(min) based on the location site were observed. As a result, the location of the cerebral aneurysm procedure was found to be the Paraclinoid site. During cerebral aneurysm coil embolization, the area dose was 107 Gy·cm2 and fluoro time was 47.41 minutes, showing lower results than domestic studies, and when comparing the area dose product with foreign studies, the area dose product results were similar to that of Turkey and Saudi Arabia. It is expected that it can be used as an objective analysis indicator to establish diagnostic reference levels (DRLs) and patient radiation defense guidelines according to the size of cerebral aneurysm and location of cerebral aneurysm procedures during interventional procedures.

Measuring Trends in the Socioeconomic Burden of Disease in Korea, 2007-2015

  • Kim, Tae Eung;Lee, Ru-Gyeom;Park, So-Youn;Oh, In-Hwan
    • Journal of Preventive Medicine and Public Health
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    • 제55권1호
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    • pp.19-27
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    • 2022
  • This study estimated the direct and indirect socioeconomic costs of 238 diseases and 22 injuries from a social perspective in Korea from 2007 to 2015. The socioeconomic cost of each disease group was calculated based on the Korean Standard Disease Classification System. Direct costs were estimated using health insurance claims data provided by the National Health Insurance Service. The numbers of outpatients and inpatients with the main diagnostic codes for each disease were selected as a proxy indicator for estimating patients' medical use behavior by disease. The economic burden of disease from 2007 to 2015 showed an approximately 20% increase in total costs. From 2007 to 2015, communicable diseases (including infectious, maternal, pediatric, and nutritional diseases) accounted for 8.9-12.2% of the socioeconomic burden, while non-infectious diseases accounted for 65.7-70.7% and injuries accounted for 19.1-22.8%. The top 5 diseases in terms of the socioeconomic burden were self-harm (which took the top spot for 8 years), followed by cirrhosis of the liver, liver cancer, ischemic heart disease, and upper respiratory infections in 2007. Since 2010, the economic burden of conditions such as low back pain, falls, and acute bronchitis has been included in this ranking. This study expanded the scope of calculating the burden of disease at the national level by calculating the burden of disease in Koreans by gender and disease. These findings can be used as indicators of health equality and as useful data for establishing community-centered (or customized) health promotion policies, projects, and national health policy goals.

영농형 태양광 발전소에서 순환신경망 기반 발전량 예측 시스템 (Recurrent Neural Network based Prediction System of Agricultural Photovoltaic Power Generation)

  • 정설령;고진광;이성근
    • 한국전자통신학회논문지
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    • 제17권5호
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    • pp.825-832
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    • 2022
  • 본 논문은 영농형 태양광 발전 시스템의 전력 생산량을 수집·저장하여 지능적인 예측 모델을 구현하기 위한 예측 및 진단 모델의 설계와 구현에 대해 논한다. 제안된 모델은 시계열 데이터에 특화된 순환신경망 기법인 RNN, LSTM, GRU 모델을 이용하여 태양광 발전량을 예측하고 각 모델의 하이퍼 파라미터를 다르게 주어 비교 분석하고, 성능을 평가했다. 그 결과 세 모델 모두 MSE, RMSE 지표는 0에 매우 가까우며, R2 지표는 1에 가까운 성능을 보였다. 이를 통해 제안하는 예측 모델은 태양광 발전량을 예측하기에 적합한 모델임을 알 수 있고, 이러한 예측을 이용하여 영농형 태양광 시스템에서 지능적인 운영관리 기능에 적용될 수 있음을 보였다.

기능성 소화불량 환자의 복진진단 객관화를 위한 임상연구 - 알고미터를 이용한 심하비경 진단 - (Clinical Study for Objectification of Abdominal Examination with Functional Dyspepsia - Epigastric Diagnosis using Algometer)

  • 최규호;노기환;최서형
    • 대한한의학회지
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    • 제43권1호
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    • pp.1-5
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    • 2022
  • Objectives: Using algometer, measure the pressure pain threshold (PPT) of the epigastric pain(心下痞硬) and calculate the cut-off value, and this can serve as the basis for prognostic diagnosis of functional dyspepsia so we would like to evaluate its diagnostic value. Methods: We investigated 353 patients with functional dyspepsia symptoms who admitted Gangnam Weedahm Oriental Hospital from February 1, 2021 to February 27, 2021. At the time of the patient's visit, an oriental medical doctor measured the pressure at the first pain point on the Algometer of (CV14), twice each, at 1minute intervals. The ROC (receiver operating characteristic) curve and the optimal cut-off value derived through the diagnosis of the (CV14) PPT value for epigastric pain(心下痞硬) and the gold standard of oriental medical doctor, it was evaluated through. Results: In 353 patients, the area under the ROC curve (AUC) was 0.909 (p=0). In addition, the optimal cutting value was 10.05 (kg/cm2), which was statistically significant. Additionally, the sensitivity of the Algometer's PPT measurement was 0.704 and the specificity was 0.884. As a result, if the PPT value of the Algometer exceeds 10.05 (kg/cm2) in terms of the optimal cutting value, it can be seen that epigastric pain(心下痞硬) is lost. Conclusion: Algometer's PPT value measurement can be a reliable test method for quantification of epigastric pain(心下痞硬) diagnosis and can be useful as an objective indicator.

Magnetic Resonance Imaging Assessment of Paraspinal Muscles in Dogs with Intervertebral Disc Herniation

  • Ye-Jin Kim;Ju-Yeong Kim;Ah-Won Sung;Hyun-Ju Cho;I-Se O;Ho-Jung Choi;Young-Won Lee
    • 한국임상수의학회지
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    • 제39권6호
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    • pp.334-341
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    • 2022
  • A decrease in the paraspinal muscle cross-sectional area (CSA) and functional cross-sectional area (FCSA) are associated with low back pain and disc herniation in humans. This study examined whether chronicity or lateralization of disc herniation affects the CSA and FCSA of the paraspinal muscles. The CSA and FCSA of the paraspinal muscles between the 12th and 13th thoracic vertebrae were measured in 31 dogs with intervertebral disc herniation (IVDH). The muscle CSA and FCSA were evaluated by dividing the values of the body weight, spinal disc CSA, and spinal canal CSA to offset the differences in body type between subjects. In the chronic IVDH group, the ratio of the paraspinal muscle CSA divided by the body weight was significantly lower, and fat infiltration in the paraspinal muscle was significantly higher than in the acute group. The lateralization of the disc herniation was significantly related to the changes in the paraspinal muscle CSA. In the right-sided disc herniation group, right epaxial muscle CSA was significantly reduced compared to the left-sided disc herniation group. The change in the paraspinal muscle might be a helpful indicator to localize less obvious disc pathologies and target the search for the pathology responsible for disc-related symptoms in dogs.

기후변화 시나리오의 기온상승에 따른 낙동강 남세균 발생 예측을 위한 데이터 기반 모델 시뮬레이션 (Data-driven Model Prediction of Harmful Cyanobacterial Blooms in the Nakdong River in Response to Increased Temperatures Under Climate Change Scenarios)

  • 장가연;조민경;김자연;김상준;박힘찬;박준홍
    • 한국물환경학회지
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    • 제40권3호
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    • pp.121-129
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    • 2024
  • Harmful cyanobacterial blooms (HCBs) are caused by the rapid proliferation of cyanobacteria and are believed to be exacerbated by climate change. However, the extent to which HCBs will be stimulated in the future due to increased temperature remains uncertain. This study aims to predict the future occurrence of cyanobacteria in the Nakdong River, which has the highest incidence of HCBs in South Korea, based on temperature rise scenarios. Representative Concentration Pathways (RCPs) were used as the basis for these scenarios. Data-driven model simulations were conducted, and out of the four machine learning techniques tested (multiple linear regression, support vector regressor, decision tree, and random forest), the random forest model was selected for its relatively high prediction accuracy. The random forest model was used to predict the occurrence of cyanobacteria. The results of boxplot and time-series analyses showed that under the worst-case scenario (RCP8.5 (2100)), where temperature increases significantly, cyanobacterial abundance across all study areas was greatly stimulated. The study also found that the frequencies of HCB occurrences exceeding certain thresholds (100,000 and 1,000,000 cells/mL) increased under both the best-case scenario (RCP2.6 (2050)) and worst-case scenario (RCP8.5 (2100)). These findings suggest that the frequency of HCB occurrences surpassing a certain threshold level can serve as a useful diagnostic indicator of vulnerability to temperature increases caused by climate change. Additionally, this study highlights that water bodies currently susceptible to HCBs are likely to become even more vulnerable with climate change compared to those that are currently less susceptible.