• 제목/요약/키워드: early intervention

검색결과 932건 처리시간 0.029초

여성 류마티스 관절염 환자의 건강관련 삶의 질 구조모형 (Health-related quality of life in female patients with reumatoid arthritis: a structural equation model)

  • 김부경;성미혜
    • 여성건강간호학회지
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    • 제29권2호
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    • pp.91-103
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    • 2023
  • Purpose: This study aimed to construct a structural equation model to explain and predict factors affecting the health-related quality of life (QoL) in female rheumatoid arthritis (RA) patients based on the health-related QoL model by Ferrans et al. (2005) and a literature review. Methods: Patients (N=243) who were either registered members of an internet cafe composed of patients with RA or rheumatology outpatients at two tertiary general hospitals in Busan, Korea, were recruited via convenience sampling. Data were collected from July 2 to September 9, 2021, and the survey was conducted using a web-based questionnaire. The data were analyzed by SPSS and AMOS 26.0. Results: The goodness-of-fit statistics of the final model exhibited good results (χ2/degree of freedom=2.68, Turker-Lewis index=.94, comparative fit index=.96, standardized root mean-squared residual=.04, root mean- square error of approximation=.08), and 11 out of 14 paths of the model were supported. The squared multiple correlation, which reflected the explanatory power of the environmental characteristics, symptoms, functional status, and perceived health status on health-related QoL, was 80%. In the hypothesis model, 10 paths had significant direct effects, 6 paths had significant indirect effects, and 12 paths had significant total (direct and indirect) effects. Conclusion: Considering that factors directly affecting the health-related QoL of female patients with RA were social support, symptoms (fatigue and depression), resilience, and perceived health status, and that resilience was the most influential factor, clinicians can encourage resilience. Hence, to improve the health-related QoL of female patients with RA, continuing management is necessary, using various intervention methods that focus on enhancing resilience from the early stage to the end of treatment for RA.

인공심장판막 실패에 대한 재치환술의 임상적 고찰 (Clinical Analysis of Reoperations on Prosthetic Valve Failur)

  • 최병철;유환국;안욱수;허용;김병열;이정호;유회성
    • Journal of Chest Surgery
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    • 제24권7호
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    • pp.663-668
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    • 1991
  • To evaluate risks, complications and mortality of reoperations on heart valve prosthesis, we reviewed clinical records of 53 patients who underwent reoperation because of prosthetic valve failure[PVF], from Jan 1959 through Jun. 1991. They had undergone 48 mitral, 10 aortic valve rereplacement Primary tissue failure was the main cause of reoperation : it occurred in 51 valves at a mean postoperative interval of 58 months. Calcification and collagen disruption of prosthesis were main causes of primary tissue failure in macro and micropathology, In 3 failing mechanical prostheses, paravalvular leak was in 2 cases, another one case had the thrombi at the hinge portion. If conditions such as emergency operation with or without endocarditis, thromboembolism and advanced NYHA functional class are prevented, we think that reoperative valve replacement has similar morbidity and mortality to initial valve replacement surgery. But our sturdy represents higher mortality [22.6%] because of late surgical intervention failing the prevention of conditions leading to myocardial damage. In conclusion if the tearing, calcification, and a new murmur were detected the early reoperation should be considered to increase late survival.

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초발 정신증 환자에서 Mismatch Negativity를 이용한 1년 간의 예후 예측 연구 (Predicting Prognosis in Patients with First Episode Psychosis Using Mismatch Negativity : A 1 Year Follow-up Study)

  • 장문영;김민아;이탁형;권준수
    • 대한조현병학회지
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    • 제20권1호
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    • pp.15-22
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    • 2017
  • Objectives : It has been shown that early intervention is crucial for favorable outcome in patients with schizophrenia. However, development of biomarkers for predicting prognosis of psychotic disorder still requires more research. In this study, we aimed to investigate whether baseline mismatch negativity (MMN) predict prognosis in patients with first episode psychosis (FEP). Methods : Twenty-four patients with FEP and matched healthy controls (HCs) were examined with MMN at baseline, and their clinical status were re-assessed after 1 year. Repeated-measures analysis of variance was performed to compare baseline MMN between the two groups. Multiple regression analysis was used to identify factors predicting prognosis in FEP patients during the follow-up period. Results : MMN amplitudes at baseline were significantly reduced in patients with FEP compared to healthy controls. In the multiple regression analysis, baseline MMN amplitude significantly predicted later improvement of performances on digit span and delayed recall of California Verbal Learning Test. However, baseline MMN did not predicted improvement of clinical symptoms. Conclusion : These results indicate that MMN may be a possible predictor of improvement in cognitive functioning in patients with FEP. Future study with larger sample and longer follow-up period would be needed to confirm the findings of the current study.

한국 성인의 정신건강역량 : 우울증과 정신분열병을 중심으로 (Mental Health Literacy of the Korean Public: A Comparison between Depression and Schizophrenia)

  • 이선혜;서진환
    • 사회복지연구
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    • 제41권2호
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    • pp.127-158
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    • 2010
  • 이 연구의 목적은 우리나라 성인의 정신건강역량 수준을 파악하여 우울증과 정신분열병의 예방과 조기 개입을 위한 구체적 전략수립의 기초자료를 마련하기 위한 것이다. 이를 위해 수도권 80개 지역에서 층화표집된 18세 이상 74세 이하 지역사회 거주자를 대상으로 설문조사를 실시한 결과(N=1,653), 우리나라 성인의 우울증과 정신분열병의 식별율은 각각 35.2%와 33.5%로 유사하게 나타났다. 반면에, 원인 지각, 증상 해결방법의 유용성에 대한 신념, 주요 정신건강 정보원에 있어서 우울증과 정신분열병 간에 특징적인 차이점들이 발견되었다. 이와 같은 결과를 유사한 외국 조사결과들과 비교 논의하고, 지역사회정신보건 예방사업에 주는 정책적, 실천적 시사점을 제시했다.

CRISPR/Cas 시스템 기술을 활용한 고위험성 식중독 세균 신속 검출을 위한 바이오센서 개발 (Development of Biosensors for Rapid Detection of Foodborne Pathogenic Bacteria using CRISPR/Cas)

  • 조선영;박종필
    • 한국식품위생안전성학회지
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    • 제38권5호
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    • pp.279-286
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    • 2023
  • Rapid and accurate detection of pathogenic bacteria is crucial for various applications, including public health and food safety. However, existing bacteria detection techniques have several drawbacks as they are inconvenient and require time-consuming procedures and complex machinery. Recently, the precision and versatility of CRISPR/Cas system has been leveraged to design biosensors that offer a more efficient and accurate approach to bacterial detection compared to the existing techniques. Significant research has been focused on developing biosensors based on the CRISPR/Cas system which has shown promise in efficiently detecting pathogenic bacteria or virus. In this review, we present a biosensor based on the CRISPR/Cas system that has been specifically developed to overcome these limitations and detect different pathogenic bacteria effectively including Vibrio parahaemolyticus, Salmonella, E. coli O157:H7, and Listeria monocytogenes. This biosensor takes advantage of the CRISPR/Cas system's precision and versatility for more efficiently accurately detecting bacteria compared to the previous techniques. The biosensor has potential to enhance public health and ensure food safety as the biosensor's design can revolutionize method of detecting pathogenic bacteria. It provides a rapid and reliable method for identifying harmful bacteria and it can aid in early intervention and preventive measures, mitigating the risk of bacterial outbreaks and their associated consequences. Further research and development in this area will lead to development of even more advanced biosensors capable of detecting an even broader range of bacterial pathogens, thereby significantly benefiting various industries and helping in safeguard human health

Surgical Rib Fracture Fixation: Early Operative Intervention Improves Outcomes

  • James Dixon;Iain Rankin;Nicholas Diston;Joaquim Goffin;Iain Stevenson
    • Journal of Chest Surgery
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    • 제57권2호
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    • pp.120-125
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    • 2024
  • Background: This study aimed to assess the outcomes of patients with complex rib fractures undergoing operative or nonoperative management at our major trauma center. Methods: A retrospective review of all patients who were considered for surgical stabilization of rib fractures (SSRF) at a single major trauma center from May 2016 to September 2022 was performed. Results: In total, 352 patients with complex rib fractures were identified. Thirty-seven patients (11%) fulfilled the criteria for surgical management and underwent SSRF. The SSRF group had a significantly higher proportion of patients with flail chest (32 [86%] vs. 94 [27%], p<0.001) or Injury Severity Score (ISS) >15 (37 [100%] vs. 129 [41%], p<0.001). No significant differences were seen between groups for 1-year mortality. Patients who underwent SSRF within 72 hours were 6 times less likely to develop pneumonia than those in whom SSRF was delayed for over 72 hours (2 [18%] vs. 15 [58%]; odds ratio, 0.163; 95% confidence interval, 0.029-0.909; p=0.036). Prompt SSRF showed non-significant associations with shorter intensive care unit length of stay (6 days vs. 10 days, p=0.140) and duration of mechanical ventilation (5 days vs. 8 days, p=0.177). SSRF was associated with a longer hospital length of stay compared to nonoperative patients with flail chest and/or ISS >15 (19 days vs. 13 days, p=0.012), whilst SSRF within 72 hours was not. Conclusion: Surgical fixation of complex rib fractures improves outcomes in selected patient groups. Delayed surgical fixation was associated with increased rates of pneumonia and a longer hospital length of stay.

Edge Computing Model based on Federated Learning for COVID-19 Clinical Outcome Prediction in the 5G Era

  • Ruochen Huang;Zhiyuan Wei;Wei Feng;Yong Li;Changwei Zhang;Chen Qiu;Mingkai Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권4호
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    • pp.826-842
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    • 2024
  • As 5G and AI continue to develop, there has been a significant surge in the healthcare industry. The COVID-19 pandemic has posed immense challenges to the global health system. This study proposes an FL-supported edge computing model based on federated learning (FL) for predicting clinical outcomes of COVID-19 patients during hospitalization. The model aims to address the challenges posed by the pandemic, such as the need for sophisticated predictive models, privacy concerns, and the non-IID nature of COVID-19 data. The model utilizes the FATE framework, known for its privacy-preserving technologies, to enhance predictive precision while ensuring data privacy and effectively managing data heterogeneity. The model's ability to generalize across diverse datasets and its adaptability in real-world clinical settings are highlighted by the use of SHAP values, which streamline the training process by identifying influential features, thus reducing computational overhead without compromising predictive precision. The study demonstrates that the proposed model achieves comparable precision to specific machine learning models when dataset sizes are identical and surpasses traditional models when larger training data volumes are employed. The model's performance is further improved when trained on datasets from diverse nodes, leading to superior generalization and overall performance, especially in scenarios with insufficient node features. The integration of FL with edge computing contributes significantly to the reliable prediction of COVID-19 patient outcomes with greater privacy. The research contributes to healthcare technology by providing a practical solution for early intervention and personalized treatment plans, leading to improved patient outcomes and efficient resource allocation during public health crises.

Modification of HEART Pathway for Patients With Chest Pain: A Korean Perspective

  • Bora Chae;Shin Ahn;Youn-Jung Kim;Seung Mok Ryoo;Chang Hwan Sohn;Dong-Woo Seo;Won Young Kim
    • Korean Circulation Journal
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    • 제53권9호
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    • pp.635-644
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    • 2023
  • Background and Objectives: The History, Electrocardiography, Age, Risk factors, and Troponin (HEART) pathway was developed to identify patients at low risk of a major adverse cardiac event (MACE) among patients presenting with chest pain to the emergency department. Methods: We modified the HEART pathway by replacing the Korean cut-off of 25 kg/m2 with the conventional threshold of 30 kg/m2 in the definition of obesity among risk factors. The primary outcome was a MACE within 30 days, which included acute myocardial infarction, primary coronary intervention, coronary artery bypass grafting, and all-cause death. Results: Of the 1,304 patients prospectively enrolled, MACE occurred in 320 (24.5%). The modified HEART pathway identified 37.3% of patients as low-risk compared with 38.3% using the HEART pathway. Of the 500 patients classified as low-risk with HEART pathway, 8 (1.6%) experienced MACE, and of the 486 low-risk patients with modified HEART pathway, 4 (0.8%) experienced MACE. The modified HEART pathway had a sensitivity of 98.8%, a negative predictive value (NPV) of 99.2%, a specificity of 49.0%, and a positive predictive value (PPV) of 38.6%, compared with the original HEART pathway, with a sensitivity of 97.5%, a NPV of 98.4%, a specificity of 50.0%, and a PPV of 38.8%. Conclusions: When applied to Korean population, modified HEART pathway could identify patients safe for early discharge more accurately by using body mass index cut-off levels suggested for Koreans.

Comparing Korea Occupational Safety & Health Agency and National Health Insurance Service's cardio-cerebrovascular diseases risk-assessment tools using data from one hospital's health checkups

  • Yunrae Cho;Dong Geon Kim;Byung-Chan Park;Seonhee Yang;Sang Kyu Kim
    • Annals of Occupational and Environmental Medicine
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    • 제35권
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    • pp.35.1-35.11
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    • 2023
  • Background: Cardio-cerebrovascular diseases (CVDs) are the most common cause of death worldwide. Various CVD risk assessment tools have been developed. In South Korea, the Korea Occupational Safety & Health Agency (KOSHA) and the National Health Insurance Service (NHIS) have provided CVD risk assessments with health checkups. Since 2018, the KOSHA guide has stated that NHIS CVD risk assessment tool could be used as an alternative of KOSHA assessment tool for evaluating CVD risk of workers. The objective of this study was to determine the correlation and agreement between the KOSHA and the NHIS CVD risk assessment tools. Methods: Subjects of this study were 17,485 examinees aged 20 to 64 years who had undergone medical examinations from January 2021 to December 2021 at a general hospital. We classified subjects into low-risk, moderate-risk, high-risk, and highest-risk groups according to KOSHA and NHIS's CVD risk assessment tools. We then compared them with cross-analysis, Spearman correlation analysis, and linearly weighted kappa coefficient. Results: The correlation between KOSHA and NHIS tools was statistically significant (p-value < 0.001), with a correlation coefficient of 0.403 and a kappa coefficient of 0.203. When we compared risk group distribution using KOSHA and NHIS tools, CVD risk of 6,498 (37.1%) participants showed a concordance. Compared to the NHIS tool, the KOSHA tool classified 9,908 (56.7%) participants into a lower risk category and 1,079 (6.2%) participants into a higher risk category. Conclusions: In this study, KOSHA and NHIS tools showed a moderate correlation with a fair agreement. The NHIS tool showed a tendency to classify participants to higher CVD risk group than the KOSHA tool. To prevent CVD more effectively, a higher estimation tool among verified CVD risk assessment methods should be selected and managements such as early intervention and treatment of risk factors should be performed targeting the high-risk group.

국내 소아에서 심한 COVID-19 뇌염에서 성공적으로 회복된 1례 (The Case of Successful Recovery From Severe Encephalitis in a COVID-19 Pediatric Patient in Korea)

  • 김은정;기소현;정혜나;윤윤선;은백린
    • Pediatric Infection and Vaccine
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    • 제30권3호
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    • pp.180-187
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    • 2023
  • 2023년 9월까지 19세이하소아청소년인구의 90% 이상에서코로나바이러스감염증-19 (coronavirus disease 2019, COVID-19) 감염력이 있으며, 그중 40-60%에서 두통, 경련발작, 뇌염 등의 신경학적 증상이 보고되고 있다. 본 증례에서 저자들은 severe acute respiratory syndrome coronavirus 2 감염 후 경련과 의식 변화로 내원, COVID-19 뇌염으로 진단하여 정맥내 면역글로불린, 고용량 스테로이드, 항바이러스제, 항경련제 투여 등의 적극적인 치료로 회복된 3세 여자 환자를 보고하고자 한다. 환자는 입원 39일차 말하기와 혼자 걷기가 가능한 상태로 퇴원하였고 발병 1년이 지난 시점, 경한 언어 지연을 보이나 전반적으로 좋은 예후를 보이고 있다. COVID-19 뇌염 환자에서 조기 발견과 적극적인 치료가 긍정적인 예후와 연관됨을 본 증례를 통하여 보고하는 바이다.