2.Analysis of the transcripts encoding for antigenic proteins of bovine gammaherpesvirus 4
Florencia ROMEO ; Maximiliano J SPETTER ; Pedro MORAN ; Susana PEREYRA ; Anselmo ODEON ; Sandra E PEREZ ; Andrea E VERNA
Journal of Veterinary Science 2020;21(1):5-
coding for the envelope glycoproteins occurred earlier in cells infected with isolate 10/154 than in cells infected with strain 07/435, demonstrating a distinct difference between the strains. Differences in serological response can be attributed to differences in the expression of antigenic proteins or to post-translational modifications that mask neutralizing epitopes. Strain 07/435 induced significantly high titers of neutralizing antibodies in several animal species in addition to bovines. The most relevant serological differences were observed in adult animals. This is the first comprehensive analysis of the expression kinetics of genes coding for BoHV-4 glycoproteins in 2 Argentine strains (genotypes 1 and 2). The results further elucidate the BoHV-4 life cycle and may also help determine the genetic variability of the strains circulating in Argentina.]]>
Adult
;
Animals
;
Antibodies
;
Antibodies, Neutralizing
;
Argentina
;
Cattle
;
Clinical Coding
;
Epitopes
;
Glycoproteins
;
Glycosylation
;
Humans
;
In Vitro Techniques
;
Kinetics
;
Life Cycle Stages
;
Masks
;
Protein Processing, Post-Translational
;
Transcriptome
;
Virion
3.Anaphylaxis diagnosis and management in the Emergency Department of a tertiary hospital in the Philippines
Michelle Joy DE VERA ; Iris Conela TAGARO
Asia Pacific Allergy 2020;10(1):1-
BACKGROUND: In the Emergency Department (ED), diagnosis and management of anaphylaxis are challenging with at least 50% of anaphylaxis episodes misdiagnosed when the diagnostic criteria of current guidelines are not used.OBJECTIVE: Objective of our study was to assess anaphylaxis diagnosis and management in patients presenting to the ED.METHODS: Retrospective chart review conducted on patients presenting to The Medical City Hospital ED, the Philippines from 2013–2015 was done. Cases were identified based on International Statistical Classification of Diseases, 10th revision coding for either anaphylaxis or other allergic related diagnosis. Cases fitting the definition of anaphylaxis as identified by the National Institute of Allergy and Infectious Disease and the Food Allergy and Anaphylaxis Network (NIAID/FAAN) were included. Data collected included demographics, signs and symptoms, triggers and management.RESULTS: A total of 105 cases were evaluated. Incidence of anaphylaxis for the 3-year study period was 0.03%. Of the 105 cases, 35 (33%) were diagnosed as “urticaria” or “hypersensitivity reaction” despite fulfilling the NIAID/FAAN anaphylaxis criteria. There was a significant difference in epinephrine administration between those given the diagnosis of anaphylaxis versus misdiagnosed cases (61 [87%] vs. 12 [34%], χ² = 30.77, p < 0.01); and a significant difference in time interval from arrival at the ED to epinephrine administration, with those diagnosed as anaphylaxis (48%) receiving epinephrine within 10 minutes, versus ≥ 60 minutes for most of the misdiagnosed group (χ² = 52.97, p < 0.01).CONCLUSION: Despite current guidelines, anaphylaxis is still misdiagnosed in the ED. Having an ED diagnosis of anaphylaxis significantly increases the likelihood of epinephrine administration, and at a shorter time interval.
Anaphylaxis
;
Classification
;
Clinical Coding
;
Communicable Diseases
;
Demography
;
Diagnosis
;
Emergencies
;
Emergency Service, Hospital
;
Epinephrine
;
Food Hypersensitivity
;
Hospitals, Urban
;
Humans
;
Hypersensitivity
;
Incidence
;
Philippines
;
Retrospective Studies
;
Tertiary Care Centers
4.Current situation and demands for diabetes knowledge in prediabetes patients at different self-management levels.
Hui ZENG ; Pingping YAN ; Guanxiu TANG ; Qian LIU ; Feifen LIU ; Hongmei ZHOU ; Miaojuan XIA
Journal of Central South University(Medical Sciences) 2019;44(6):679-684
To understand the current situation regarding the knowledge and demand for patients with prediabetes at different self-management levels, and to provide guide for improving their knowledge.
Methods: A total of 312 prediabetes patients from 3 hospitals in Changsha were enrolled in this survey. The questionnaires covered diabetes self-management behavior scale and prediabetes knowledge status and demand questionnaire. Diabetes knowledge acquisition and demand were analyzed among patients with different levels of self-management.
Results: The score of self-management behavior for patients with prediabetes was 39.1±13.9. The rate of knowledge acquisition was low and the rate of demand was high. The knowledge acquisition rate was high and the knowledge demand rate was low in patients with high levels of self-management. As for the contents of health education, the dietary collocation and method for glucose detection were highly needed by all self-management levels of patients.
Conclusion: Prediabetes patients' self-management level are low. Health education to patients with prediabetes should be based on individualized demands.
Diabetes Mellitus
;
Health Knowledge, Attitudes, Practice
;
Humans
;
Prediabetic State
;
Self-Management
;
Surveys and Questionnaires
5.Potential Implications of Long Noncoding RNAs in Autoimmune Diseases
Keun HUR ; Sang Hyon KIM ; Ji Min KIM
Immune Network 2019;19(1):e4-
Long noncoding RNAs (lncRNAs) are non-protein coding RNAs of more than 200 nucleotides in length. Despite the term “noncoding”, lncRNAs have been reported to be involved in gene expression. Accumulating evidence suggests that lncRNAs play crucial roles in the regulation of immune system and the development of autoimmunity. lncRNAs are expressed in various immune cells including T lymphocytes, B lymphocytes, macrophages, neutrophils, dendritic cells, and NK cells, and are also involved in the differentiation and activation of these immune cells. Here, we review recent studies on the role of lncRNAs in immune regulation and the differential expression of lncRNAs in various autoimmune diseases.
Autoimmune Diseases
;
Autoimmunity
;
B-Lymphocytes
;
Clinical Coding
;
Dendritic Cells
;
Gene Expression
;
Immune System
;
Killer Cells, Natural
;
Macrophages
;
Neutrophils
;
Nucleotides
;
RNA
;
RNA, Long Noncoding
;
T-Lymphocytes
6.Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis
Sangwoo NAM ; Min Kyun SOHN ; Hyun Ah KIM ; Hyoun Joong KONG ; Il Young JUNG
Healthcare Informatics Research 2019;25(2):131-138
OBJECTIVES: This study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an artificial-intelligence-based image recognition scheme. METHODS: Waveform images of an abnormal resting membrane potential generated by diagnostic needle EMG were classified into three types—positive sharp waves (PSW), fibrillations (Fibs), and Others—using the TensorFlow-Slim image classification model library. A total of 4,015 raw waveform data instances were reviewed, with 8,576 waveform images subsequently collected for training. Images were learned repeatedly through a convolutional neural network. Each selected waveform image was classified into one of the aforementioned categories according to the learned results. RESULTS: The classification model, Inception v4, was used to divide waveform images into three categories (accuracy = 93.8%, precision = 99.5%, recall = 90.8%). This was done by applying the pretrained Inception v4 model to a fine-tuning method. The image recognition model was created for training using various types of image-based medical data. CONCLUSIONS: The TensorFlow-Slim library can be used to train and recognize image data, such as EMG waveforms, through simple coding rather than by applying TensorFlow. It is expected that a convolutional neural network can be applied to image data such as the waveforms of electrophysiological signals in a body based on this study.
Artificial Intelligence
;
Boidae
;
Classification
;
Clinical Coding
;
Electromyography
;
Membrane Potentials
;
Methods
;
Needles
7.A Novel RUNX2 Mutation in a Korean Family with Cleidocranial Dysplasia
Ji Won LEE ; Jisoo SONG ; Teo Jeon SHIN ; Hong Keun HYUN ; Young Jae KIM ; Sang Hoon LEE ; Jongbin KIM ; Jung Wook KIM
Journal of Korean Academy of Pediatric Dentistry 2019;46(4):409-415
Cleidocranial dysplasia (CCD) is an autosomal-dominant disease characterized by the delayed closure of cranial sutures, defects in clavicle formation, supernumerary teeth, and delayed tooth eruption. Defects in the Runt-related transcription factor 2 (RUNX2), a master regulator of bone formation, have been identified in CCD patients. The aim of this study was to identify the molecular genetic causes in a CCD family with delayed tooth eruption.The 23-year-old female proband and her mother underwent clinical and radiographic examinations, and all coding exons of the RUNX2 were sequenced. Mutational analysis revealed a single nucleotide deletion mutation (NM_001024630.4 : c.357delC) in exon 3 in the proband and her mother. The single C deletion would result in a frameshift in translation and introduce a premature stop codon [p.(Asn120Thrfs*24)]. This would result in the impaired function of RUNX2 protein, which may be the cause of delayed eruption of permanent teeth in the family.
Clavicle
;
Cleidocranial Dysplasia
;
Clinical Coding
;
Codon, Nonsense
;
Core Binding Factor Alpha 1 Subunit
;
Cranial Sutures
;
Exons
;
Female
;
Humans
;
Molecular Biology
;
Mothers
;
Osteogenesis
;
Sequence Deletion
;
Tooth
;
Tooth Eruption
;
Tooth, Supernumerary
;
Transcription Factors
;
Young Adult
9.Effects Of Inappropriate Waste Management On Health: Knowledge, Attitude And Practice Among Malaysian Population
Redhwan Ahmed Al-Naggar ; Mahfoudh A.M Abdulghani ; Mahmoud Abdullah Al-Areefi
Malaysian Journal of Public Health Medicine 2019;19(1):101-109
Numerous health issues can arise from improper domestic waste management. Uncollected wastes provide food and breeding sites for insect, bird and rodent which can expose the community to vector borne disease. Therefore, this study aims to investigate the community awareness towards domestic waste management. This study is a cross-sectional study conducted at Bandar Baru Sungai Buloh, Selangor, Malaysia. The questionnaire consists of five sections with a total of 57 questions. The questionnaire consists of four parts: Socio-demographic, knowledge, attitude and practice. The data were analysed using SPSS version 22.0. T-test, ANOVA test, Chi-squared test were used according to the type of variables and significance level will be taken at 95% or p-value of less than 0.05. A total of 355 respondents participated in this study. The mean age was 40.52 ±14.94. The majority of them were male (52.1%), Malay (71.0%), married (71.3%), with secondary educational (81%) and employed (41.1%). The majority of respondents mentioned that inappropriate waste management can cause dengue fever and leptospirosis (98.0%, 97.2%; respectively). Property type, education, occupation, ethnicity, religions and household income were significant influenced the knowledge of the participants towards domestic waste management. For attitude, gender, education, ethnicity, religion and income significantly influenced the attitude of the participants towards domestic waste management. For practice, ethnicity, religion and occupation were significantly influenced the practice of the participants towards domestic waste management. In conclusion, the community has moderate awareness of domestic waste management. Awareness of waste management should also be taught in school so that the next generation of people will have a better understanding and eventually have better practice in domestic waste management. It is also hoped that a carefully thought-out strategy can be developed to further improve the community awareness towards domestic waste management which will shed a new light on tackling this issue.
Waste Management
;
Health
;
Knowledge
;
Attitude
;
Practice
;
general population
10.Computer-based clinical coding activity analysis for neurosurgical terms
Jong Hyuk LEE ; Jung Hwan LEE ; Wooseok RYU ; Byung Kwan CHOI ; In Ho HAN ; Chang Min LEE
Yeungnam University Journal of Medicine 2019;36(3):225-230
BACKGROUND: It is not possible to measure how much activity is required to understand and code a medical data. We introduce an assessment method in clinical coding, and applied this method to neurosurgical terms.METHODS: Coding activity consists of two stages. At first, the coders need to understand a presented medical term (informational activity). The second coding stage is about a navigating terminology browser to find a code that matches the concept (code-matching activity). Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT) was used for the coding system. A new computer application to record the trajectory of the computer mouse and record the usage time was programmed. Using this application, we measured the time that was spent. A senior neurosurgeon who has studied SNOMED CT has analyzed the accuracy of the input coding. This method was tested by five neurosurgical residents (NSRs) and five medical record administrators (MRAs), and 20 neurosurgical terms were used.RESULTS: The mean accuracy of the NSR group was 89.33%, and the mean accuracy of the MRA group was 80% (p=0.024). The mean duration for total coding of the NSR group was 158.47 seconds, and the mean duration for total coding of the MRA group was 271.75 seconds (p=0.003).CONCLUSION: We proposed a method to analyze the clinical coding process. Through this method, it was possible to accurately calculate the time required for the coding. In neurosurgical terms, NSRs had shorter time to complete the coding and higher accuracy than MRAs.
Animals
;
Clinical Coding
;
Humans
;
Medical Informatics
;
Medical Record Administrators
;
Methods
;
Mice
;
Neurosurgeons
;
Systematized Nomenclature of Medicine


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