• Title/Summary/Keyword: Healthcare Related Infection

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Concept Analysis of Self-stigma in Patients with Tuberculosis (결핵 환자의 자기 낙인(self-stigma)에 대한 개념 분석)

  • Yeom, Seonmi;Kang, Jeong Hee;Yang, Youngran
    • Research in Community and Public Health Nursing
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    • v.32 no.3
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    • pp.312-324
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    • 2021
  • Purpose: Tuberculosis is an infectious condition with a high disease burden, and the stigma in patients with tuberculosis causes negative health outcomes. The purpose of this study was to define and clarify the concept of self-stigma among patients with tuberculosis. Methods: The analysis was conducted using Walker and Avant's conceptual approach. Twenty-seven studies met the selection criteria. Results: Self-stigma in patients with tuberculosis can be defined by the following attributes: 1) self-esteem decrement; 2) fear; 3) negative emotions to oneself; 4) social withdrawal; and 5) discrimination. The antecedents identified were 1) inappropriate knowledge of tuberculosis, 2) spread of improper health information through media and social communications, 3) stereotypes and prejudices, 4) visibility due to symptoms appearing, 5) recognizing the risk of infection, and 6) low financial status. The consequences were 1) concealing the disease, 2) treatment delay, 3) poor treatment adherence, 4) poor quality of life, and 5) deterioration in or lack of social activities. Conclusion: The definition and attributes of self-stigma identified by this study can be applied to enhance the understanding of stigma in tuberculosis patients and to improve communications between healthcare providers and researchers. It can also be used to develop theories and measurements related to stigma in patients with tuberculosis.

Development of Real-time PCR Assay Based on Hydrolysis Probe for Detection of Epichloë spp. and Toxic Alkaloid Synthesis Genes

  • Lee, Ki-Won;Woo, Jae Hoon;Song, Yowook;Rahman, Md Atikur;Lee, Sang-Hoon
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.42 no.3
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    • pp.201-207
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    • 2022
  • Fescues, which are widely cultivated as grasses and forages around the world, are often naturally infected with the endophyte, Epichloë. This fungus, transmitted through seeds, imparts resistance to drying and herbivorous insects in its host without causing any external damage, thereby contributing to the adaptation of the host to the environment and maintaining a symbiosis. However, some endophytes, such as E. coenophialum synthesize ergovaline or lolitrem B, which accumulate in the plant and impart anti-mammalian properties. For example, when livestock consume excessive amounts of grass containing toxic endophytes, problems associated with neuromuscular abnormalities, such as convulsions, paralysis, high fever, decreased milk production, reproductive disorders, and even death, can occur. Therefore, pre-inoculation with non-toxic endogenous fungi or management with endophyte-free grass is important in preventing damage to livestock and producing high-quality forage. To date, the diagnosis of endophytes has been mainly performed by observation under a microscope following staining, or by performing an immune blot assay using a monoclonal antibody. Recently, the polymerase chain reaction (PCR)-based molecular diagnostic method is gaining importance in the fields of agriculture, livestock, and healthcare given the method's advantages. These include faster results, with greater accuracy and sensitivity than those obtained using conventional diagnostic methods. For the diagnosis of endophytes, the nested PCR method is the only available option developed; however, it is limited by the fact that the level of toxic alkaloid synthesis cannot be estimated. Therefore, in this study, we aimed to develop a triplex real-time PCR diagnostic method that can determine the presence or absence of endophyte infection using DNA extracted from seeds within 1 h, while simultaneously detecting easD and LtmC genes, which are related to toxic alkaloid synthesis. This new method was then also applied to real field samples.

Vaccination Status and In-hospital Mortality Among Adults With COVID-19 in Jakarta, Indonesia: A Retrospective Hospital-based Cohort Study

  • Hotma Martogi Lorensi Hutapea;Pandji Wibawa Dhewantara;Anton Suryatma;Raras Anasi;Harimat Hendarwan;Mondastri Korib Sudaryo;Dwi Gayatri
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.6
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    • pp.542-551
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    • 2023
  • Objectives: Prospective studies on vaccination status and mortality related to coronavirus disease 2019 (COVID-19) in low-resource settings are still limited. We assessed the association between vaccination status (full, partial, or none) and in-hospital mortality among COVID-19 patients at most hospitals in Jakarta, Indonesia during the Delta predomination wave. Methods: We conducted a retrospective cohort study among hospitalized COVID-19 patients who met the study criteria (>18 years old and admitted for inpatient treatment because of laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection). We linked individual-level data in the hospital admission database with vaccination records. Several socio-demographic and clinical characteristics were also analyzed. A Cox proportional hazards regression model was used to explore the association between vaccination status and in-hospital mortality in this patient group. Results: In total, 40 827 patients were included in this study. Of these, 70% were unvaccinated (n=28 543) and 19.3% (n=7882) died during hospitalization. The mean age of the patients was 49 years (range, 35-59), 53.2% were female, 22.0% had hypertension, and 14.2% were treated in the intensive care unit, and the median hospital length of stay across the group was 9 days. Our study showed that the risk of in-hospital mortality among fully and partially vaccinated patients was lower than among unvaccinated adults (adjusted hazard ratio [aHR], 0.43; 95% confidence interval [CI], 0.40 to 0.47 and aHR, 0.70; 95% CI, 0.64 to 0.77, respectively). Conclusions: Vaccinated patients had fewer severe outcomes among hospitalized adults during the Delta wave in Jakarta. These features should be carefully considered by healthcare professionals in treating adults within this patient group.

Molecular Genetic Characteristics of Methicillin-Resistant Staphylococcus aureus Isolated from Patients and Environment of General Hospital Intensive Care Unit in a Chungnam Province, Korea (충남지역 종합병원 중환자실 환경과 환자로부터 분리한 메티실린 내성 황색포도알균(MRSA)의 분자유전학적 특성)

  • Kim, Hye-Suk;Park, Sung-Bae;Kim, Sang-Ha;Kim, Sunghyun;Hyun, Sung-Hee;Kim, Young-Kwon
    • Korean Journal of Clinical Laboratory Science
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    • v.50 no.2
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    • pp.110-117
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    • 2018
  • In the present study, mec complex typing and SCCmec typing were performed to analyze the molecular genetic characteristics of 20 methicillin-resistant Staphylococcus aureus (MRSA) strains isolated from clinical specimens and 4 strains isolated from the ICU environments of secondary medical institutions in a Chungnam province, Korea, from June to July of 2017. Among a total of 20 MRSA strains isolated from clinical specimens, 8 cases (40%) were SCCmec type II, one case (5%) was SCCmec type IVa, and 11 cases (55%) were not-typeable in SCCmec type analysis. Among 4 MRSA isolates from the ICU environment, one strain did not have the mecA gene and 3 strains were typed as SCCmec types II, III, and IVa, respectively. Data from the present study showed that the origin of MRSA isolated from the clinical specimens was different from those from the ICU environment in most cases but the origin was concordant in one case. In this case, MRSA might be transmitted by healthcare workers to the ICU environment. Further study with a large number of cases and other hospital infection-related microorganisms will be needed. This continuous follow-up study might provide useful information on infection control in medical institutions.

Carbapenemase-Producing Klebsiella oxytoca Detection Using Molecular Methods (분자학적 방법을 이용한 Carbapenemase-Producing Klebsiella oxytoca 검출)

  • Yang, Byoung Seon;Park, Ji Ae
    • Korean Journal of Clinical Laboratory Science
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    • v.51 no.4
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    • pp.428-435
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    • 2019
  • The rapid increase and dissemination of carbapene mases, such as Klebsiella pneumoniae carbapenemase (KPC), has become a major problem within the field of healthcare-related infection. There are few antibiotics to treat carbapenem-resistant Enterobacteriaceae (CRE) infections, so the identification of resistant bacterial mechanisms is critical to initiate infection control and conduct epidemiological research. A rapid and effective method for detecting KPC-producing bacteria is needed to avoid therapeutic failures and introduce measures to prevent and control the dissemination of these multi-resistant bacteria. During the study period, 31 isolates (seven isolates of Acinetobacter spp., six isolates of Morganella morganii, five isolates of Pseudomonas aeruginosa, five isolates of Proteus mirabilis, one isolate of Proteus vulgaris, two isolates of Enterobacter cloacae, one isolate of Enterobacter aerogenes, one isolate of Klebsiella pneumoniae, one isolate of Klebsiella oxytoca, one isolate of Serratia marcescens and one isolate of Escherichia coli) were identified by the VITEK. Gram negative rod bacteria were the most frequently isolated from urine (35.5%), blood (19.4%), sputum (16.1%), pus (9.7%), ascitic fluid (9.7%), tracheal aspirates (6.5%) and bile juice (3.2%). Analysis using the PCR method identified the blaKPC gene in the K. oxytoca1 strain, but the blaIMP, blaVIM and blaOXA-48 genes are not amplified. In conclusion, diagnosis using the PCR method can accurately and quickly diagnose KPC, thus establishing quick preventive measures to prevent the spread of KPC in hospitals.

A study on the classification of research topics based on COVID-19 academic research using Topic modeling (토픽모델링을 활용한 COVID-19 학술 연구 기반 연구 주제 분류에 관한 연구)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.155-174
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    • 2022
  • From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (

    ) were the topic modeling results for each research topic (
    ) was found to be derived from For example, as a result of topic modeling for papers related to 'vaccine', a new topic titled Topic 05 'neutralizing antibodies' was extracted. A neutralizing antibody is an antibody that protects cells from infection when a virus enters the body, and is said to play an important role in the production of therapeutic agents and vaccine development. In addition, as a result of extracting topics from papers related to 'treatment', a new topic called Topic 05 'cytokine' was discovered. A cytokine storm is when the immune cells of our body do not defend against attacks, but attack normal cells. Hidden topics that could not be found for the entire thesis were classified according to keywords, and topic modeling was performed to find detailed topics. In this study, we proposed a method of extracting topics from a large amount of literature using the LDA algorithm and extracting similar words using the Skip-gram method that predicts the similar words as the central word among the Word2vec models. The combination of the LDA model and the Word2vec model tried to show better performance by identifying the relationship between the document and the LDA subject and the relationship between the Word2vec document. In addition, as a clustering method through PCA dimension reduction, a method for intuitively classifying documents by using the t-SNE technique to classify documents with similar themes and forming groups into a structured organization of documents was presented. In a situation where the efforts of many researchers to overcome COVID-19 cannot keep up with the rapid publication of academic papers related to COVID-19, it will reduce the precious time and effort of healthcare professionals and policy makers, and rapidly gain new insights. We hope to help you get It is also expected to be used as basic data for researchers to explore new research directions.

  • Factors Affecting Physicians who will be Vaccinated Every Year after Receiving the COVID-19 Vaccine in Healthcare Workers (의료종사자의 COVID-19 예방 백신 접종받은 후 향후 매년 예방접종 의향에 미치는 요인)

    • Hyeun-Woo Choi;Sung-Hwa Park;Eun-Kyung Cho;Chang-hyun Han;Jong-Min Lee
      • Journal of the Korean Society of Radiology
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      • v.17 no.2
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      • pp.257-265
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      • 2023
    • The purpose of this study was to vaccinate every year according to the general characteristics of COVID-19, whether to vaccinate every year according to the vaccination experience, whether to vaccinate every year according to knowledge/attitude about vaccination, and negative responses to the vaccinate every year In order to understand the factors affecting the vaccination physician every year by identifying the factors of Statistical analysis is based on general characteristics, variables based on vaccination experience, and knowledge/attitudes related to vaccination. The doctor calculates the frequency and percentage, A square test (-test) was performed, and if the chi-square test was significant but the expected frequency was less than 5 for 25% or more, a ratio difference test was performed with Fisher's exact test. Through multiple logistic regression analysis using variables that were significant in simple analysis, a predictive model for future vaccination and the effect size of each independent variable were estimated. As statistical analysis software, SAS 9.4 (SAS Institute Inc., Cary, NC, USA) was used, and because the sample size was not large, the significance level was set at 10%, and when the p-value was less than 0.10, it was interpreted as statistically significant. In the simple logistic regression analysis, the reason why they answered that they would not be vaccinated every year was that they answered 'to prevent infection of family and hospital guests' rather than 'to prevent my infection' as the reason for the vaccination. It was 11.0 times higher and 3.67 times higher in the case of 'for the formation of collective immunity of the local community and the country'. The adverse reactions experienced after the 1st and 2nd vaccination were 8.42 times higher in those who did not experience pain at the injection site than those who did not, 4.00 times higher in those who experienced swelling or redness, and 5.69 times higher in those who experienced joint pain. There was a 5.57 times higher rate of absenteeism annually than those who did not. In addition, the more anxious they felt about vaccination, the more likely they were to not get the vaccine every year by 2.94 times.

    The Prevalence Rate of Tuberculin Skin Test Positive by Contacts Group to Predict the Development of Active Tuberculosis After School Outbreaks

    • Kim, Hee Jin;Chun, Byung Chul;Kwon, AmyM;Lee, Gyeong-Ho;Ryu, Sungweon;Oh, Soo Yeon;Lee, Jin Beom;Yoo, Se Hwa;Kim, Eui Sook;Kim, Je Hyeong;Shin, Chol;Lee, Seung Heon
      • Tuberculosis and Respiratory Diseases
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      • v.78 no.4
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      • pp.349-355
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      • 2015
    • Background: The tuberculin skin test (TST) is the standard tool to diagnose latent tuberculosis infection (LTBI) in mass screening. The aim of this study is to find an optimal cut-off point of the TST+ rate within tuberculosis (TB) contacts to predict the active TB development among adolescents in school TB outbreaks. Methods: The Korean National Health Insurance Review and Assessment database was used to identify active TB development in relation to the initial TST (cut-off, 10 mm). The 7,475 contacts in 89 schools were divided into two groups: Incident TB group (43 schools) and no incident TB group (46 schools). LTBI treatment was initiated in 607 of the 1,761 TST+ contacts. The association with active TB progression was examined at different cut-off points of the TST+ rate. Results: The mean duration of follow-up was $3.9{\pm}0.9years$. Thirty-three contacts developed active TB during the 4,504 person-years among the TST+ contacts without LTBI treatment (n=1,154). The average TST+ rate for the incident TB group (n=43) and no incident TB group (n=46) were 31.0% and 15.5%, respectively. The TST+ rate per group was related with TB progression (odds ratio [OR], 1.025; 95% confidence interval [CI], 1.001-1.050; p=0.037). Based on the TST+ rate per group, active TB was best predicted at TST+ ${\geq}$ 16% (OR, 3.11; 95% CI, 1.29-7.51; area under curve, 0.64). Conclusion: Sixteen percent of the TST+ rate per group within the same grade students can be suggested as an optimal cut-off to predict active TB development in middle and high schools TB outbreaks.

    Immunogenicity, Reactogenicity and Safety of a Combined DTPa-IPV Vaccine Compared with Separate DTPa and IPV Vaccines in Healthy Korean Infants (한국의 건강한 영아를 대상으로 DTPa-IPV 혼합백신을 접종한 경우와 DTPa 백신과 IPV 백신을 각각 투여하였을 경우의 면역원성, 반응원성 및 안전성)

    • Kim, Chang Hwi;Cha, Sung Ho;Shin, Son Moon;Kim, Chun Soo;Choi, Young Youn;Hong, Young Jin;Chey, Myoung Jae;Kim, Kwang Nam;Hur, Jae Kyun;Jo, Dae Sun;Kim, Sung Shin;Lee, Sang Lak;Song, Eun Song;Ramakrishnan, Gunasekaran;Ok, Jin Ju;Van Der Meeren, Olivier;Bock, Hans L.;Kim, Jung Soo
      • Pediatric Infection and Vaccine
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      • v.17 no.2
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      • pp.156-168
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      • 2010
    • Purpose : To compare immunogenicity and reactogenicity of a combined diphtheria-tetanus-acellular pertussis-inactivated poliovirus vaccine (DTPa-IPV, $Infanrix^{TM}$ IPV, GlaxoSmithKline Biologicals) with co-administration of commercially available DTPa and IPV vaccines at separate injection sites (DTPa+IPV). Methods : A total of 458 infants aged 8-12 weeks were randomized to receive three-ose primary vaccination at 2, 4 and 6 months with DTPa-IPV or DTPa+IPV. Blood samples were collected pre and post vaccination for measurement of immune responses. Reactogenicity was assessed following each dose using diary cards. Results : One month post-dose 3, seroprotection rates for anti-diphtheria, anti-tetanus and anti-poliovirus types 1, 2 and 3 were ${\geq}99.5%$ and vaccine response rates to pertussis antigens were at least 98.6% in both DTPa-IPV and DTPa + IPV groups. Non-inferiority between the groups was demonstrated based on pre-defined statistical criteria. Incidences of both local and systemic symptoms were within the same range across both groups with grade 3 symptoms reported following no more than 4.3% of DTPa-IPV doses and 4.5% of DTPa + IPV doses. Two serious adverse events (both pyrexia) after DTPa-IPV administration were considered vaccine-related. Both infants recovered fully. Conclusion : Combined DTPa-IPV vaccine was immunogenic and well tolerated when used as a three-dose primary vaccination course in Korean infants. DTPa-IPV could be incorporated into the Korean vaccination schedule, reducing the number of injections required to complete primary immunization.


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