Sudarat Srisong, Rungthiwa Srimora, Nuttachat Wisittipanit, C. Pulsrikarn, Kritchai Poonchareon
Background: Salmonella enterica subsp. enterica, particularly serotype S. 4[5],12:i:-, S. Typhimurium, and S. Enteritidis, represents a significant causative agent of diarrhea, particularly impacting children and immunocompromised individuals on a global scale. Molecular typing of Salmonella spp. has a vital role in understand Salmonella epidemiology. Objective: The objective of this study is to utilize CRISPR 2 spacer analysis coupled with multiple-locus variable number tandem-repeat (VNTR) analysis and virulotyping to perform molecular typing and potential subtyping of Salmonella spp. Materials and methods: CRISPR 2 - multiple-locus variable number tandem-repeat (VNTR) analysis, complemented by additional virulotyping, were performed to rapidly characterize those Salmonella isolates including eight unidentified strains. Serotype-specific CRISPR 2 amplicons were subjected to sequencing and the obtained sequences were blasted with corresponding whole-genome sequencing (WGS) data in order to extract CRISPR 2 information, especially the number and sequence of spacers which were then utilized to predict Salmonella serotypes. Moreover, the similar CRISPR 2 spacer architectures to the corresponding WGS offered the prediction of multilocus sequence types (MLST). Results: S. 4,[5],12:i:-, S. Typhimurium, S. Enteritidis, S. Weltevraden, and S. Derby exhibited distinct clustering, while eight unidentified Salmonella serotypes displayed unique CRISPR 2-MLVA profiles. Through subsequent sequence analysis and comparison with publicly available whole-genome sequencing data, serotype-specific CRISPR 2 amplicon lengths and spacer architectures were unveiled, enabling precise prediction of MLST types. Intriguingly, a linear correlation emerged between CRISPR 2 amplicon length (500-2000 bps) and the number of spacers (6-32) across diverse Salmonella serotypes. Critically, the molecular signatures of CRISPR 2 amplicons accurately predicted the identity of eight unknown Salmonella isolates, aligning with conventional serotyping standards. Furthermore, MLST sequences for prevalent S. 4,[5],12:i:-, S. Typhimurium, and S. Enteritidis were unveiled as ST 34, ST 19, and ST 10, respectively. Subtyping of S. 4,[5],12:i:- using the sopE1 procession (a bacteriophage gene) revealed two major subtypes within ST 34. These subtypes encompassed all six virulent genes, including InvA, bcfC, csgA, agfA, sodC1, and gipA, either with sopE1 (N=8) or without sopE1 (N=10). These findings contribute preliminary insights into the genetic diversity and subtyping of S. 4,[5],12:i:-. Conclusion: The combination of CRISPR 2 sequence analysis and virulotyping emerged as a potent epidemiological tool, facilitating the identification of Salmonella serotypes and potentially informative subtypes, thereby aiding in the surveillance, and tracking of Salmonella transmission in northern Thailand.
背景:肠炎沙门氏菌亚种,尤其是血清型 S. 4[5]、12:i:-、S. Typhimurium 和 S. Enteritidis,是腹泻的重要致病菌,在全球范围内对儿童和免疫力低下者的影响尤为严重。沙门氏菌属的分子分型对了解沙门氏菌流行病学具有重要作用。研究目的本研究的目的是利用 CRISPR 2 spacer 分析、多焦点变数串联重复(VNTR)分析和病毒分型对沙门氏菌属进行分子分型和潜在亚型鉴定。 材料与方法:通过 CRISPR 2 - 多病灶变数串联重复序列(VNTR)分析,并辅以额外的病毒分型,对包括 8 株未鉴定菌株在内的沙门氏菌分离物进行了快速鉴定。对血清型特异性 CRISPR 2 扩增子进行测序,并将获得的序列与相应的全基因组测序(WGS)数据进行比对,以提取 CRISPR 2 信息,特别是间隔序列的数量和序列,然后利用这些信息预测沙门氏菌的血清型。此外,CRISPR 2 spacer 结构与相应的 WGS 相似,可用于预测多焦点序列类型(MLST)。结果:S.4、[5]、12:i:-、S.Typhimurium、S.Enteritidis、S.Weltevraden 和 S. Derby 表现出明显的聚类,而 8 个未确定的沙门氏菌血清型则显示出独特的 CRISPR 2-MLVA 特征。通过随后的序列分析以及与公开的全基因组测序数据的比较,揭示了血清型特异的 CRISPR 2 扩增子长度和间隔结构,从而能够精确预测 MLST 类型。有趣的是,在不同的沙门氏菌血清型中,CRISPR 2 扩增子长度(500-2000 bps)与间隔物数量(6-32)之间存在线性相关。重要的是,CRISPR 2 扩增子的分子特征准确预测了 8 个未知沙门氏菌分离物的身份,与传统的血清分型标准一致。此外,流行的 S. 4、[5]、12:i:-、S. Typhimurium 和 S. Enteritidis 的 MLST 序列分别被揭示为 ST 34、ST 19 和 ST 10。使用 sopE1 序列(一种噬菌体基因)对 S. 4,[5],12:i:- 进行亚型分析,发现 ST 34 中有两个主要亚型。这些亚型包含所有六个毒力基因,包括 InvA、bcfC、csgA、agfA、sodC1 和 gipA,有 sopE1(8 个)或无 sopE1(10 个)。这些发现有助于初步了解 S. 4,[5],12:i:-的遗传多样性和亚型。结论:CRISPR 2 序列分析与病毒分型相结合,成为一种有效的流行病学工具,有助于鉴定沙门氏菌血清型和潜在的信息亚型,从而有助于监测和追踪沙门氏菌在泰国北部的传播情况。
{"title":"CRISPR 2 spacer architecture analysis and virulotyping for epidemiological study of Salmonella enterica subsp. Enterica circulating in northern Thailand (2015 -2017)","authors":"Sudarat Srisong, Rungthiwa Srimora, Nuttachat Wisittipanit, C. Pulsrikarn, Kritchai Poonchareon","doi":"10.12982/jams.2024.030","DOIUrl":"https://doi.org/10.12982/jams.2024.030","url":null,"abstract":"Background: Salmonella enterica subsp. enterica, particularly serotype S. 4[5],12:i:-, S. Typhimurium, and S. Enteritidis, represents a significant causative agent of diarrhea, particularly impacting children and immunocompromised individuals on a global scale. Molecular typing of Salmonella spp. has a vital role in understand Salmonella epidemiology. Objective: The objective of this study is to utilize CRISPR 2 spacer analysis coupled with multiple-locus variable number tandem-repeat (VNTR) analysis and virulotyping to perform molecular typing and potential subtyping of Salmonella spp. Materials and methods: CRISPR 2 - multiple-locus variable number tandem-repeat (VNTR) analysis, complemented by additional virulotyping, were performed to rapidly characterize those Salmonella isolates including eight unidentified strains. Serotype-specific CRISPR 2 amplicons were subjected to sequencing and the obtained sequences were blasted with corresponding whole-genome sequencing (WGS) data in order to extract CRISPR 2 information, especially the number and sequence of spacers which were then utilized to predict Salmonella serotypes. Moreover, the similar CRISPR 2 spacer architectures to the corresponding WGS offered the prediction of multilocus sequence types (MLST). Results: S. 4,[5],12:i:-, S. Typhimurium, S. Enteritidis, S. Weltevraden, and S. Derby exhibited distinct clustering, while eight unidentified Salmonella serotypes displayed unique CRISPR 2-MLVA profiles. Through subsequent sequence analysis and comparison with publicly available whole-genome sequencing data, serotype-specific CRISPR 2 amplicon lengths and spacer architectures were unveiled, enabling precise prediction of MLST types. Intriguingly, a linear correlation emerged between CRISPR 2 amplicon length (500-2000 bps) and the number of spacers (6-32) across diverse Salmonella serotypes. Critically, the molecular signatures of CRISPR 2 amplicons accurately predicted the identity of eight unknown Salmonella isolates, aligning with conventional serotyping standards. Furthermore, MLST sequences for prevalent S. 4,[5],12:i:-, S. Typhimurium, and S. Enteritidis were unveiled as ST 34, ST 19, and ST 10, respectively. Subtyping of S. 4,[5],12:i:- using the sopE1 procession (a bacteriophage gene) revealed two major subtypes within ST 34. These subtypes encompassed all six virulent genes, including InvA, bcfC, csgA, agfA, sodC1, and gipA, either with sopE1 (N=8) or without sopE1 (N=10). These findings contribute preliminary insights into the genetic diversity and subtyping of S. 4,[5],12:i:-. Conclusion: The combination of CRISPR 2 sequence analysis and virulotyping emerged as a potent epidemiological tool, facilitating the identification of Salmonella serotypes and potentially informative subtypes, thereby aiding in the surveillance, and tracking of Salmonella transmission in northern Thailand.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"64 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141013971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Isaya Janwitayanuchit, Suwanna Semsri, Wicharn Janwitayanuchit, K. Choowongkomon
Background: Mangiferin, a natural compound has been reported to possess a variety of biological activities such as anticancer, anti-diabetic, antimicrobial, antioxidant, cardioprotective activities, etc. Screening on blood coagulation activity effects of mangiferin might be helpful for further activities investigation. Objective: This study aimed to isolate mangiferin from mango leaves and evaluate its blood coagulation and anticancer activities against human lung cancer cell lines (A549 cells). Materials and methods: Mangiferin was extracted from mango leaves and characterized by IR, NMR, and mass spectroscopic techniques. It was determined in vitro activities as follows: blood clotting time, platelet aggregation, activated partial thromboplastin time (aPTT), prothrombin time (PT), clot lysis, fibrinolysis, and cell migration assay. Results: It was found that mangiferin had a significantly slower effect on inducing blood clots than the control group, with the coagulation value of 13.09±2.97 minutes and decreasing platelet aggregation at an inhibition percentage value of 14.1±1.2. There was significant (p<0.05) prolongation of PT and aPTT activities tested with the mangiferin at the value of 12.4±1.2 and 29.9±3.1 seconds, respectively. However, mangiferin was unable to cause fibrin clot dissolution on fibrinolysis test. Mangiferin also showed anticancer activity against A549 cells by inhibition of cell migration assay. Conclusion: Mangiferin showed antiplatelet aggregation activity and prolongation of prothrombin time (PT) and activated partial thromboplastin time (aPTT) assay without fibrinolysis activity. In addition, mangiferin showed anticancer activity against A549 cells by inhibiting cell migration.
{"title":"Effect of mangiferin isolated from Mangifera indica leaves on in vitro blood coagulation and cell migration activities","authors":"Isaya Janwitayanuchit, Suwanna Semsri, Wicharn Janwitayanuchit, K. Choowongkomon","doi":"10.12982/jams.2024.028","DOIUrl":"https://doi.org/10.12982/jams.2024.028","url":null,"abstract":"Background: Mangiferin, a natural compound has been reported to possess a variety of biological activities such as anticancer, anti-diabetic, antimicrobial, antioxidant, cardioprotective activities, etc. Screening on blood coagulation activity effects of mangiferin might be helpful for further activities investigation. Objective: This study aimed to isolate mangiferin from mango leaves and evaluate its blood coagulation and anticancer activities against human lung cancer cell lines (A549 cells). Materials and methods: Mangiferin was extracted from mango leaves and characterized by IR, NMR, and mass spectroscopic techniques. It was determined in vitro activities as follows: blood clotting time, platelet aggregation, activated partial thromboplastin time (aPTT), prothrombin time (PT), clot lysis, fibrinolysis, and cell migration assay. Results: It was found that mangiferin had a significantly slower effect on inducing blood clots than the control group, with the coagulation value of 13.09±2.97 minutes and decreasing platelet aggregation at an inhibition percentage value of 14.1±1.2. There was significant (p<0.05) prolongation of PT and aPTT activities tested with the mangiferin at the value of 12.4±1.2 and 29.9±3.1 seconds, respectively. However, mangiferin was unable to cause fibrin clot dissolution on fibrinolysis test. Mangiferin also showed anticancer activity against A549 cells by inhibition of cell migration assay. Conclusion: Mangiferin showed antiplatelet aggregation activity and prolongation of prothrombin time (PT) and activated partial thromboplastin time (aPTT) assay without fibrinolysis activity. In addition, mangiferin showed anticancer activity against A549 cells by inhibiting cell migration.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"95 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141014635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Chinchai, S. Kongsawasdi, Pornpen Sirisatayawong, S. Apichai, Busaba Chuatrakoon, Nipaporn Thonglorm
Background: The number of people with disabilities resulting from strokes is increasing in Thailand. The major sequela of the disease was weakness in one side of the body that causes difficulty in activities of daily living (ADL) and poor quality of life (QOL) for stroke survivors. Community-based rehabilitation could be one of the strategies that enhances functional performance and improves QOL in these individuals. There were many disabled people in Mae Ka subdistrict, San Pa Tong District, Chiang Mai Province, where health care providers and local people were enthusiastic to take care of each other’s health in the community. Objective: The present study aimed to investigate rehabilitation outcomes in ADL and QOL of stroke participants who received rehabilitation services from trained village health volunteers (VHVs). Materials and methods: This study was a quasi-experimental research design. Subjects were recruited using purposive sampling, including 10 stroke survivors. Instruments used were 1) ADL Assessment for Occupational Therapy Clients; and 2) World Health Organization Quality of Life Assessment, Short Form-Thai version. The statistics used were descriptive, as well as the Wilcoxon Signed Ranks Test. Results: Results demonstrated that scores of basic activities of daily living (BADL) in the participants increased significantly (p<0.05) except for sexual expression. The score in the instrumental activities of daily living (IADL) was also significantly higher at post-rehabilitation than pre-intervention (p<0.05), as was the total ADL score. Stroke patients had significantly higher QOL scores after intervention than the pretest (p<0.05). Conclusion: These indicated that the community rehabilitation center at Mae Ka Subdistrict Administrative Organization, San Pa Tong District, Chiang Mai Province, run by the trained VHVs could promote ability in daily activities and improve QOL in stroke participants who come for their services.
背景:泰国因中风致残的人数不断增加。这种疾病的主要后遗症是一侧肢体无力,导致中风幸存者日常生活活动(ADL)困难,生活质量(QOL)低下。以社区为基础的康复可能是提高这些人的功能表现和改善生活质量的策略之一。清迈府三八洞县湄卡分区有许多残疾人,那里的医护人员和当地居民都热衷于在社区中互相照顾对方的健康。研究目的本研究旨在调查接受过训练的村卫生志愿者(VHVs)提供的康复服务的中风患者在日常生活能力和 QOL 方面的康复效果。材料与方法:本研究采用准实验研究设计。研究对象采用目的性抽样,包括 10 名中风幸存者。使用的工具包括:1)职业治疗客户 ADL 评估;2)世界卫生组织生活质量评估简表-泰文版。使用的统计方法为描述性统计和 Wilcoxon Signed Ranks 检验。结果结果表明,除性表达外,参与者的基本日常生活活动(BADL)得分明显提高(P<0.05)。康复后的日常生活工具性活动(IADL)得分也明显高于干预前(P<0.05),日常生活工具性活动总分也是如此。干预后脑卒中患者的 QOL 得分明显高于干预前(P<0.05)。结论这表明,清迈府三巴同县湄卡分区行政组织的社区康复中心由经过培训的志愿家政服务人员管理,可以提高前来接受服务的中风患者的日常活动能力,改善其 QOL。
{"title":"Community rehabilitation by the trained village health volunteers on activities of daily living and quality of life in stroke survivors","authors":"P. Chinchai, S. Kongsawasdi, Pornpen Sirisatayawong, S. Apichai, Busaba Chuatrakoon, Nipaporn Thonglorm","doi":"10.12982/jams.2024.038","DOIUrl":"https://doi.org/10.12982/jams.2024.038","url":null,"abstract":"Background: The number of people with disabilities resulting from strokes is increasing in Thailand. The major sequela of the disease was weakness in one side of the body that causes difficulty in activities of daily living (ADL) and poor quality of life (QOL) for stroke survivors. Community-based rehabilitation could be one of the strategies that enhances functional performance and improves QOL in these individuals. There were many disabled people in Mae Ka subdistrict, San Pa Tong District, Chiang Mai Province, where health care providers and local people were enthusiastic to take care of each other’s health in the community. Objective: The present study aimed to investigate rehabilitation outcomes in ADL and QOL of stroke participants who received rehabilitation services from trained village health volunteers (VHVs). Materials and methods: This study was a quasi-experimental research design. Subjects were recruited using purposive sampling, including 10 stroke survivors. Instruments used were 1) ADL Assessment for Occupational Therapy Clients; and 2) World Health Organization Quality of Life Assessment, Short Form-Thai version. The statistics used were descriptive, as well as the Wilcoxon Signed Ranks Test. Results: Results demonstrated that scores of basic activities of daily living (BADL) in the participants increased significantly (p<0.05) except for sexual expression. The score in the instrumental activities of daily living (IADL) was also significantly higher at post-rehabilitation than pre-intervention (p<0.05), as was the total ADL score. Stroke patients had significantly higher QOL scores after intervention than the pretest (p<0.05). Conclusion: These indicated that the community rehabilitation center at Mae Ka Subdistrict Administrative Organization, San Pa Tong District, Chiang Mai Province, run by the trained VHVs could promote ability in daily activities and improve QOL in stroke participants who come for their services.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"133 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141013580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nimit Kosura, Aung Aung Nwe, W. Chumpangern, Kongrit Sriya, C. Phimphasak, Chulee Ubolsakka-Jones
Background: Patients with mild chronic obstructive pulmonary disease (COPD) are usually not recommended for a standard pulmonary rehabilitation (PR)program based on the GOLD guideline in mild COPD GOLD A classification. Especially, the scientific evidence on exercise capacity that can be identified for recruitment in PR programs has been less reported. Thus, a preliminary case study to identify the exercise capacity under cardiopulmonary responses by aerobic exercise testing among patients in mild COPD GOLD A classification was the aim of this study. Objective: To evaluate the cardiopulmonary responses from exercise capacity testing in individual COPD patients with mild COPD GOLD A Classification. Materials and methods: Four participants with mild COPD GOLD A performed an exercise endurance capacity test at home using Spot Marching Exercise Test (SMT), marching on the spot with high hip and arm raising. The load of SMT was indicated by a controlled stepping rate at 70, 80, 90, 100, and 110 steps/min. Every participant performed Incremental SMT (ISMT) with every 3 min incremental load, and the Constant SMT (CSMT) at the peak load. Both exercise tests were terminated at symptom limit. Resting time between ISMT and CSMT was at least 30 minutes. Cardiopulmonary exercise responses, Borg perceived breathlessness (RPB) and exertion (RPE) were monitored every minute during the exercise test. The duration of exercises was recorded. Results: Peak exercise capacity using ISMT was low with the end exercise load at 70, 80, 80, and 90 steps/min which is equivalent to moderate to high intensity at 81%, 62%, 65% and 93% of age-predicted maximum heart rate (HRmax). The exercise test was stopped by breathlessness at RPB 7, 8, 6, and 5. Respiratory rates (RR) were 36, 26, 38, and 38 breaths/min. With CSMT, the results showed very short exercise duration 1.78, 4.60, 2.15, and 2.47 mins with RPB 7, 8, 5, and 5 and RR of 33, 27, 34, and 41 breaths/min respectively. Conclusion: This preliminary report reveals that all four mild COPD GOLD A show low exercise capacity and very poor exercise endurance that should identify the appropriated standard PR program in the future.
{"title":"Does mild chronic obstructive pulmonary disease need a standard pulmonary rehabilitation program? A case report","authors":"Nimit Kosura, Aung Aung Nwe, W. Chumpangern, Kongrit Sriya, C. Phimphasak, Chulee Ubolsakka-Jones","doi":"10.12982/jams.2024.025","DOIUrl":"https://doi.org/10.12982/jams.2024.025","url":null,"abstract":"Background: Patients with mild chronic obstructive pulmonary disease (COPD) are usually not recommended for a standard pulmonary rehabilitation (PR)program based on the GOLD guideline in mild COPD GOLD A classification. Especially, the scientific evidence on exercise capacity that can be identified for recruitment in PR programs has been less reported. Thus, a preliminary case study to identify the exercise capacity under cardiopulmonary responses by aerobic exercise testing among patients in mild COPD GOLD A classification was the aim of this study. Objective: To evaluate the cardiopulmonary responses from exercise capacity testing in individual COPD patients with mild COPD GOLD A Classification. Materials and methods: Four participants with mild COPD GOLD A performed an exercise endurance capacity test at home using Spot Marching Exercise Test (SMT), marching on the spot with high hip and arm raising. The load of SMT was indicated by a controlled stepping rate at 70, 80, 90, 100, and 110 steps/min. Every participant performed Incremental SMT (ISMT) with every 3 min incremental load, and the Constant SMT (CSMT) at the peak load. Both exercise tests were terminated at symptom limit. Resting time between ISMT and CSMT was at least 30 minutes. Cardiopulmonary exercise responses, Borg perceived breathlessness (RPB) and exertion (RPE) were monitored every minute during the exercise test. The duration of exercises was recorded. Results: Peak exercise capacity using ISMT was low with the end exercise load at 70, 80, 80, and 90 steps/min which is equivalent to moderate to high intensity at 81%, 62%, 65% and 93% of age-predicted maximum heart rate (HRmax). The exercise test was stopped by breathlessness at RPB 7, 8, 6, and 5. Respiratory rates (RR) were 36, 26, 38, and 38 breaths/min. With CSMT, the results showed very short exercise duration 1.78, 4.60, 2.15, and 2.47 mins with RPB 7, 8, 5, and 5 and RR of 33, 27, 34, and 41 breaths/min respectively. Conclusion: This preliminary report reveals that all four mild COPD GOLD A show low exercise capacity and very poor exercise endurance that should identify the appropriated standard PR program in the future.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"27 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141013245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Many people suffer from Diabetes Mellitus (DM), a disease caused by high blood glucose levels. In real-time, many methods are implemented to diagnose DM to obtain a good accuracy level, but those methods remain costlier. Objective: To develop a method for DM detection with good accuracy and minimum cost. Materials and methods: In this research, DM is detected using tongue image based on DL model, named Deep Residual Network (DRN) that is trained by proposed Sine Hunter Prey Optimization (SHPO). Here, an adaptive median filter is used for the pre-processing phase, and image segmentation is done using ResUNet++, which is trained by Exponential Anti Corona Virus Optimization (ExpACVO). Here, ExpACVO integrates Anti Corona Virus Optimization (ACVO) and Exponential Weighted Moving Average (EWMA). Further, image augmentation and appropriate feature extraction stages are carried out, leading to DM detection by DRN. Moreover, SHPO is formed by combining the Sine Cosine Algorithm (SCA) and Hunter Prey Optimization (HPO). The performance of the proposed method is analyzed using the Tongue image dataset and the Diabetic images dataset. Results: The performance of SHPO_DRN is found using four evaluation metrics: accuracy, sensitivity, specificity, and f-measure. Here, these metrics exhibit superior performance with high-range values of 0.961, 0.970, 0.948, and 0.961. Conclusion: The proposed method detects the DM at earlier stages with a good accuracy.
{"title":"Sine hunter prey optimization enabled deep residual network for diabetes mellitus detection using tongue image","authors":"Jimsha K Mathew, S. S. Sathyalakshmi","doi":"10.12982/jams.2024.029","DOIUrl":"https://doi.org/10.12982/jams.2024.029","url":null,"abstract":"Background: Many people suffer from Diabetes Mellitus (DM), a disease caused by high blood glucose levels. In real-time, many methods are implemented to diagnose DM to obtain a good accuracy level, but those methods remain costlier. Objective: To develop a method for DM detection with good accuracy and minimum cost. Materials and methods: In this research, DM is detected using tongue image based on DL model, named Deep Residual Network (DRN) that is trained by proposed Sine Hunter Prey Optimization (SHPO). Here, an adaptive median filter is used for the pre-processing phase, and image segmentation is done using ResUNet++, which is trained by Exponential Anti Corona Virus Optimization (ExpACVO). Here, ExpACVO integrates Anti Corona Virus Optimization (ACVO) and Exponential Weighted Moving Average (EWMA). Further, image augmentation and appropriate feature extraction stages are carried out, leading to DM detection by DRN. Moreover, SHPO is formed by combining the Sine Cosine Algorithm (SCA) and Hunter Prey Optimization (HPO). The performance of the proposed method is analyzed using the Tongue image dataset and the Diabetic images dataset. Results: The performance of SHPO_DRN is found using four evaluation metrics: accuracy, sensitivity, specificity, and f-measure. Here, these metrics exhibit superior performance with high-range values of 0.961, 0.970, 0.948, and 0.961. Conclusion: The proposed method detects the DM at earlier stages with a good accuracy.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141013680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tanaporn Guawgumnerdtong, N. Damrongkijudom, Achawee Suwannarat, Piyawan Chailapakul, Tawatchai Ekjeen
Background: External Beam Radiation Therapy (EBRT) is a curative therapy technique for prostate cancer. Since the prostate is unstable and surrounded by the bladder and rectum, precision of the target location is critical. Image Guided Radiation Therapy (IGRT) can improve treatment precision. The bladder and rectum may alter volume during IGRT, shifting the prostate’s position and resulting in missed target volume doses and extra organs at risk (OARs) doses. Objective: To assess setup error and residual error during patient positioning, as well as the current IGRT protocol efficiency, in prostate cancer patients while recommending a planning target volume (PTV) margin. Materials and methods: The offset couch parameter of on-board imaging (OBI) and cone-beam computed tomography (CBCT) was computed to determine the error distribution, magnitude, and error difference between treatment phases. The systematic and random errors were calculated using the van Herk equation to determine the planning target volume (PTV) margin. Results: The setup error was -0.86 to 0.25 mm, and the residual error was -0.15 to 0.32 mm. The couch displacement percentage for OBI was 29.44% to 58.89%, and for CBCT was 8.10% to 34.12%. The systematic error was 1.65 to 3.21. The random error was 1.78 to 3.29. The setup error was greatest in the longitudinal (Lng) direction, residual error was greatest in the vertical (Vrt) direction, and systematic and random error were greatest in the Vrt and lateral (Lat) direction, respectively. The PTV margin was greatest in the Vrt direction, while the Lng direction was the narrowest margin for every treatment phase. Conclusion: The highest setup error occurs in the Lng direction for all treatment phases. For the 46 Gy and 60 Gy phases, the highest residual error is in the Vrt direction. However, in the 78 Gy phase, the error is relatively close to 0.01mm in every direction. The current IGRT protocol is effective in detecting setup and residual errors. The 78 Gy phase has the greatest PTV margin, whereas the 46 Gy phase shows the narrowest margins in all directions.
{"title":"Evaluation of the offset couch parameter between kilovoltage on-board imaging and cone-beam computed tomography in patients with prostate cancer","authors":"Tanaporn Guawgumnerdtong, N. Damrongkijudom, Achawee Suwannarat, Piyawan Chailapakul, Tawatchai Ekjeen","doi":"10.12982/jams.2024.036","DOIUrl":"https://doi.org/10.12982/jams.2024.036","url":null,"abstract":"Background: External Beam Radiation Therapy (EBRT) is a curative therapy technique for prostate cancer. Since the prostate is unstable and surrounded by the bladder and rectum, precision of the target location is critical. Image Guided Radiation Therapy (IGRT) can improve treatment precision. The bladder and rectum may alter volume during IGRT, shifting the prostate’s position and resulting in missed target volume doses and extra organs at risk (OARs) doses. Objective: To assess setup error and residual error during patient positioning, as well as the current IGRT protocol efficiency, in prostate cancer patients while recommending a planning target volume (PTV) margin. Materials and methods: The offset couch parameter of on-board imaging (OBI) and cone-beam computed tomography (CBCT) was computed to determine the error distribution, magnitude, and error difference between treatment phases. The systematic and random errors were calculated using the van Herk equation to determine the planning target volume (PTV) margin. Results: The setup error was -0.86 to 0.25 mm, and the residual error was -0.15 to 0.32 mm. The couch displacement percentage for OBI was 29.44% to 58.89%, and for CBCT was 8.10% to 34.12%. The systematic error was 1.65 to 3.21. The random error was 1.78 to 3.29. The setup error was greatest in the longitudinal (Lng) direction, residual error was greatest in the vertical (Vrt) direction, and systematic and random error were greatest in the Vrt and lateral (Lat) direction, respectively. The PTV margin was greatest in the Vrt direction, while the Lng direction was the narrowest margin for every treatment phase. Conclusion: The highest setup error occurs in the Lng direction for all treatment phases. For the 46 Gy and 60 Gy phases, the highest residual error is in the Vrt direction. However, in the 78 Gy phase, the error is relatively close to 0.01mm in every direction. The current IGRT protocol is effective in detecting setup and residual errors. The 78 Gy phase has the greatest PTV margin, whereas the 46 Gy phase shows the narrowest margins in all directions.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"54 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141013998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Age-related illnesses are more prevalent with advancing age, with seniors facing more chronic diseases and disabilities. Chronic diseases that mostly older adults deal with are caused by high blood pressure, diabetes, and high cholesterol-also called noncommunicable diseases (NCDs). NCDs can cause severe chronic diseases such as heart disease, kidney failure, and cerebrovascular disease, and these can result in a high risk of Mild Cognitive Impairment (MCI). Together, brain cells shrink around 2,000 million cells when getting older, causing difficulty recalling names or words, decreased attention span, or a decreased ability to handle many tasks simultaneously. Therefore, protecting senior citizens with MCI needs to be seriously consideration. Objectives: This quasi-experimental research aimed to study the effects of a program to reduce brain deterioration in older people with Mild Cognitive Impairment (MCI). Materials and methods: The samples consisted of senior males and females requiring service at Songkhla Rajanagarindra Psychiatric Hospital, Songkhla, Thailand. A sample group was selected using an equivalent group design. The researcher utilized inclusion and exclusion criteria to gather 32 older adults and employed a simple random selection into experimental and control groups. For three months, the experimental group engaged in a seven-care-kit program based on Montessori’s philosophy and DementiAbility methods to help protect against brain deterioration. Mann-Whitney U test and Wilcoxon Value were used to analyze the result of the program’s effectiveness, which assessed cognitive ability by MoCA. Results: The attention span domain showed a significant statistical difference at (p=0.03) after post-tests comparing the experimental and control groups. A comparison of the pre-test and post-test of the experimental group found four domains-total cognitive domain, attention span domain, delayed recall domain, and visuospatial perception domain were significant with a statistical difference of (p=0.001, p=0.002, p=0.003, and p=0.004 respectively). Moreover, two domains- the delayed recall domain and the total cognitive domain in the control group showed a significant statistically increasing difference at (p=0.001 and p=0.005, respectively). Conclusion: The senior citizens’ active daily activities may help protect against dementia in older adults with MCI. The Home-Based Protection of Brain Deterioration Program demonstrated a satisfactory program that enhanced the attention span, visuospatial domain, and delayed recall of older people with mild cognitive impairment. Hence, the program as a dementia prevention program for older adults with MCI.
{"title":"Cognitive intervention using Montessori and DementiAbility for people with mild cognitive impairment","authors":"Chadchom Ratsameemonthon, Teppagone Pittayapinune, Arbtip Petchsakul, Sasithorn Kemsen","doi":"10.12982/jams.2024.027","DOIUrl":"https://doi.org/10.12982/jams.2024.027","url":null,"abstract":"Background: Age-related illnesses are more prevalent with advancing age, with seniors facing more chronic diseases and disabilities. Chronic diseases that mostly older adults deal with are caused by high blood pressure, diabetes, and high cholesterol-also called noncommunicable diseases (NCDs). NCDs can cause severe chronic diseases such as heart disease, kidney failure, and cerebrovascular disease, and these can result in a high risk of Mild Cognitive Impairment (MCI). Together, brain cells shrink around 2,000 million cells when getting older, causing difficulty recalling names or words, decreased attention span, or a decreased ability to handle many tasks simultaneously. Therefore, protecting senior citizens with MCI needs to be seriously consideration. Objectives: This quasi-experimental research aimed to study the effects of a program to reduce brain deterioration in older people with Mild Cognitive Impairment (MCI). Materials and methods: The samples consisted of senior males and females requiring service at Songkhla Rajanagarindra Psychiatric Hospital, Songkhla, Thailand. A sample group was selected using an equivalent group design. The researcher utilized inclusion and exclusion criteria to gather 32 older adults and employed a simple random selection into experimental and control groups. For three months, the experimental group engaged in a seven-care-kit program based on Montessori’s philosophy and DementiAbility methods to help protect against brain deterioration. Mann-Whitney U test and Wilcoxon Value were used to analyze the result of the program’s effectiveness, which assessed cognitive ability by MoCA. Results: The attention span domain showed a significant statistical difference at (p=0.03) after post-tests comparing the experimental and control groups. A comparison of the pre-test and post-test of the experimental group found four domains-total cognitive domain, attention span domain, delayed recall domain, and visuospatial perception domain were significant with a statistical difference of (p=0.001, p=0.002, p=0.003, and p=0.004 respectively). Moreover, two domains- the delayed recall domain and the total cognitive domain in the control group showed a significant statistically increasing difference at (p=0.001 and p=0.005, respectively). Conclusion: The senior citizens’ active daily activities may help protect against dementia in older adults with MCI. The Home-Based Protection of Brain Deterioration Program demonstrated a satisfactory program that enhanced the attention span, visuospatial domain, and delayed recall of older people with mild cognitive impairment. Hence, the program as a dementia prevention program for older adults with MCI.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"20 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141013696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Tungjai, Monruedee Tapanya, Khin Thandar Htun, Suratchanee Padngam, T. Thumvijit, S. Sriburee, P. Chinchai, Suban Pornwiang, Suchart Kothan
Background: We previously reported distal forearm bone mineral density (BMD) information for individuals residing in Mae Chaem and Omkoi districts, Chiang Mai Province, Thailand. Objective: This study was aimed to observe distal forearm BMD in residents of Doi Lo District and compare this data with individuals residing in Mae Chaem District and Omkoi District in Chiang Mai Province, Thailand. Materials and methods: Two hundred fifty-one subjects (215 women, 36 men), aged 24 to 69 years, currently reside in Doi Lo District. BMD was measured on the non-dominant distal forearm using peripheral dual-energy X-ray absorptiometry (pDEXA). Subsequently, data from Doi Lo District were compared with data from Mae Chaem District and Omkoi District obtained from earlier studies. Results: Distal forearm BMD decreased, and the prevalence of osteoporosis increased in both females and males across age groups. This trend was consistent with data from Mae Chaem District and Omkoi District. Conclusion: This study demonstrated the prevalence of distal forearm BMD and osteoporosis among females and males in Doi Lo District. The findings from Doi Lo District were consistent with those from Mae Chaem District and Omkoi District in Chiang Mai Province, Thailand. These results provide valuable insights into bone health among residents of Chiang Mai Province, Thailand.
背景:我们以前曾报道过居住在泰国清迈府 Mae Chaem 和 Omkoi 县的人的前臂远端骨矿密度 (BMD) 信息。研究目的本研究旨在观察 Doi Lo 县居民的前臂远端骨密度,并将此数据与泰国清迈府 Mae Chaem 县和 Omkoi 县的居民进行比较。材料和方法:251 名受试者(215 名女性,36 名男性),年龄在 24 岁至 69 岁之间,目前居住在都罗县。使用外周双能 X 射线吸收测定法(pDEXA)测量了非主导前臂远端的 BMD。随后,将都罗县的数据与先前研究中获得的湄南县和翁科伊县的数据进行了比较。结果显示不同年龄段的女性和男性前臂远端 BMD 均有所下降,骨质疏松症的患病率也有所上升。这一趋势与 Mae Chaem 县和 Omkoi 县的数据一致。结论本研究显示了都罗县女性和男性前臂远端 BMD 和骨质疏松症的患病率。Doi Lo 县的研究结果与泰国清迈府 Mae Chaem 县和 Omkoi 县的研究结果一致。这些结果为了解泰国清迈府居民的骨骼健康状况提供了宝贵的信息。
{"title":"Preliminary study of distal forearm bone mineral density in residents of Doi Lo District: Observation and comparison with Mae Chaem, and Omkoi Districts, Chiang Mai Province, Thailand","authors":"M. Tungjai, Monruedee Tapanya, Khin Thandar Htun, Suratchanee Padngam, T. Thumvijit, S. Sriburee, P. Chinchai, Suban Pornwiang, Suchart Kothan","doi":"10.12982/jams.2024.034","DOIUrl":"https://doi.org/10.12982/jams.2024.034","url":null,"abstract":"Background: We previously reported distal forearm bone mineral density (BMD) information for individuals residing in Mae Chaem and Omkoi districts, Chiang Mai Province, Thailand. Objective: This study was aimed to observe distal forearm BMD in residents of Doi Lo District and compare this data with individuals residing in Mae Chaem District and Omkoi District in Chiang Mai Province, Thailand. Materials and methods: Two hundred fifty-one subjects (215 women, 36 men), aged 24 to 69 years, currently reside in Doi Lo District. BMD was measured on the non-dominant distal forearm using peripheral dual-energy X-ray absorptiometry (pDEXA). Subsequently, data from Doi Lo District were compared with data from Mae Chaem District and Omkoi District obtained from earlier studies. Results: Distal forearm BMD decreased, and the prevalence of osteoporosis increased in both females and males across age groups. This trend was consistent with data from Mae Chaem District and Omkoi District. Conclusion: This study demonstrated the prevalence of distal forearm BMD and osteoporosis among females and males in Doi Lo District. The findings from Doi Lo District were consistent with those from Mae Chaem District and Omkoi District in Chiang Mai Province, Thailand. These results provide valuable insights into bone health among residents of Chiang Mai Province, Thailand.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"201 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141013436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Chronic obstructive pulmonary disease (COPD) is a group of diseases characterized by airflow blockage. It is one of the leading causes of global mortality and is primarily attributed to smoking. COPD patients are usually diagnosed by spirometry test. Although regarded as the gold standard for COPD diagnosis, the spirometry test carries contraindications, thus prompting the development of low-dose computed tomography (low-dose CT) scan as an alternative for COPD screening. However, a practical limitation of diagnosing COPD from CT images is its reliance on the expertise of a skilled radiologist. Objective: To address this limitation, we aimed to develop a deep-learning model for the automated classification of COPD and non-COPD from low-dose CT images. Materials and methods: We examined the potential of a convolutional neural network for identifying COPD. Our dataset consisted of 10,000 low-dose CT images obtained from a lung cancer screening program, involving both ex-smokers and current smokers deemed at high risk of lung cancer. Spirometry data served as the ground truth for defining COPD. We used 90% of the datasets for training and 10% for testing. Results: Our developed model achieved notable performance metrics: an area under the receiver operating characteristic curve (AUC) of 0.97, an accuracy of 0.89, a precision of 0.85, a recall of 0.96, and an F1-score of 0.90. Conclusion: Our study demonstrates the potential of deep learning models to augment clinical assessments and improve the diagnosis of COPD, thereby enhancing diagnostic accuracy and efficiency. The findings suggest the feasibility of integrating this technology into routine lung cancer screening programs for COPD detection.
{"title":"AI-based diagnosis of chronic obstructive pulmonary disease from low-dose CT images","authors":"Chayanon Pamarapa, Salisa Kemlek, Wichasa Sukumwattana, Pharinda Sitthikul, Sichon Khuanrubsuan, Akkarawat Chaikhampa, Paritt Wongtrakool, Ammarut Chuajak, Monchai Phonlakrai, Ruedeerat Keerativittayayut","doi":"10.12982/jams.2024.037","DOIUrl":"https://doi.org/10.12982/jams.2024.037","url":null,"abstract":"Background: Chronic obstructive pulmonary disease (COPD) is a group of diseases characterized by airflow blockage. It is one of the leading causes of global mortality and is primarily attributed to smoking. COPD patients are usually diagnosed by spirometry test. Although regarded as the gold standard for COPD diagnosis, the spirometry test carries contraindications, thus prompting the development of low-dose computed tomography (low-dose CT) scan as an alternative for COPD screening. However, a practical limitation of diagnosing COPD from CT images is its reliance on the expertise of a skilled radiologist. Objective: To address this limitation, we aimed to develop a deep-learning model for the automated classification of COPD and non-COPD from low-dose CT images. Materials and methods: We examined the potential of a convolutional neural network for identifying COPD. Our dataset consisted of 10,000 low-dose CT images obtained from a lung cancer screening program, involving both ex-smokers and current smokers deemed at high risk of lung cancer. Spirometry data served as the ground truth for defining COPD. We used 90% of the datasets for training and 10% for testing. Results: Our developed model achieved notable performance metrics: an area under the receiver operating characteristic curve (AUC) of 0.97, an accuracy of 0.89, a precision of 0.85, a recall of 0.96, and an F1-score of 0.90. Conclusion: Our study demonstrates the potential of deep learning models to augment clinical assessments and improve the diagnosis of COPD, thereby enhancing diagnostic accuracy and efficiency. The findings suggest the feasibility of integrating this technology into routine lung cancer screening programs for COPD detection.","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"27 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141014162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Leelarungrayub, Pongkorn Chantaraj, Supattanawaree Thipcharoen, Jutamat Jintana
Background: Virtual reality (VR) is a new innovative technology that can enhance intervention and should promote the effectiveness of rehabilitation, but there is a lack of scientific evidence on the clustering and topic research trend, especially on VR and pulmonary rehabilitation (PR). More evidence about network clusters and trends will encourage the research in the future. Objective: This study aimed to explore, identify, cluster, and forecast analysis for the research trend of VR and PR from the research articles on the SCOPUS database. Materials and methods: In this study, the search terms “virtual reality” AND “pulmonary rehabilitation” were extracted from specific English research articles published on the SCOPUS database between 2013-2023. RStudio software was used to perform bibliometric and visual analysis. During the analysis in the bibliometric tool, the normalization process with Salton’s Cosine and network clustering via trend topic with the Walktrap algorithm was analyzed before specific visualization with the network clustering mapping, Treemap, and trend topic line by KamadaKawai layout algorithm. Results: From the 1,396 articles on “VR” published between 2010 and 2023, there were 13 research articles on “VR AND PR” published between 2013 and 2023. The bibliometric result from 13 articles showed total of 36 subdisciplines correlated networks among virtual reality (20, 7%), male (16, 6%), female (15, 5%), aged (12, 4%), chronic obstructive lung disease (12, 4%), exercise (11, 4%), human (10, 4%), humans (10, 4%), middle-aged (10, 4%), quality of life (10, 4%), article (9, 3%), pulmonary rehabilitation (9, 3%), controlled study (8, 3%), adult (6, 2%), chronic obstructive (6, 2%), clinical article (6, 2%), forced expiratory volume (6, 2%), pulmonary disease (6, 2%), randomized controlled trial (6, 2%), and forced vital capacity (5, 2%), etc., respectively. Three network clusters were reported after the normalization process and clustering evaluation by factorial analysis. The first cluster was composed of virtual reality, male, female, aged, chronic obstructive lung disease, exercise, human, humans, middle-aged, quality of life, article, pulmonary rehabilitation, controlled study, adult, chronic obstructive, clinical article, forced expiratory volume, randomized controlled trial, forced vital capacity, six-minute walk test, depression, technology, telerehabilitation, breathing exercise, Covid-19, dyspnea, functional status, hospital patient, and physical activity, respectively. The second cluster consisted of procedure and exercise therapy, and the last cluster consisted of exercise tolerance, lung, treatment outcome, health program, and convalescence. Finally, trend research topics were presented in virtual reality, male, female, aged, chronic obstructive lung disease, human, exercise, quality of life, and middle-aged, respectively, in 2023. Conclusion: Therefore, the contribution from data analysis in this article can identify th
{"title":"Updated research trend and clustering algorithm on virtual reality and pulmonary rehabilitation: Scopus-based bibliometric and visual analysis","authors":"J. Leelarungrayub, Pongkorn Chantaraj, Supattanawaree Thipcharoen, Jutamat Jintana","doi":"10.12982/jams.2024.040","DOIUrl":"https://doi.org/10.12982/jams.2024.040","url":null,"abstract":"Background: Virtual reality (VR) is a new innovative technology that can enhance intervention and should promote the effectiveness of rehabilitation, but there is a lack of scientific evidence on the clustering and topic research trend, especially on VR and pulmonary rehabilitation (PR). More evidence about network clusters and trends will encourage the research in the future. Objective: This study aimed to explore, identify, cluster, and forecast analysis for the research trend of VR and PR from the research articles on the SCOPUS database. Materials and methods: In this study, the search terms “virtual reality” AND “pulmonary rehabilitation” were extracted from specific English research articles published on the SCOPUS database between 2013-2023. RStudio software was used to perform bibliometric and visual analysis. During the analysis in the bibliometric tool, the normalization process with Salton’s Cosine and network clustering via trend topic with the Walktrap algorithm was analyzed before specific visualization with the network clustering mapping, Treemap, and trend topic line by KamadaKawai layout algorithm. Results: From the 1,396 articles on “VR” published between 2010 and 2023, there were 13 research articles on “VR AND PR” published between 2013 and 2023. The bibliometric result from 13 articles showed total of 36 subdisciplines correlated networks among virtual reality (20, 7%), male (16, 6%), female (15, 5%), aged (12, 4%), chronic obstructive lung disease (12, 4%), exercise (11, 4%), human (10, 4%), humans (10, 4%), middle-aged (10, 4%), quality of life (10, 4%), article (9, 3%), pulmonary rehabilitation (9, 3%), controlled study (8, 3%), adult (6, 2%), chronic obstructive (6, 2%), clinical article (6, 2%), forced expiratory volume (6, 2%), pulmonary disease (6, 2%), randomized controlled trial (6, 2%), and forced vital capacity (5, 2%), etc., respectively. Three network clusters were reported after the normalization process and clustering evaluation by factorial analysis. The first cluster was composed of virtual reality, male, female, aged, chronic obstructive lung disease, exercise, human, humans, middle-aged, quality of life, article, pulmonary rehabilitation, controlled study, adult, chronic obstructive, clinical article, forced expiratory volume, randomized controlled trial, forced vital capacity, six-minute walk test, depression, technology, telerehabilitation, breathing exercise, Covid-19, dyspnea, functional status, hospital patient, and physical activity, respectively. The second cluster consisted of procedure and exercise therapy, and the last cluster consisted of exercise tolerance, lung, treatment outcome, health program, and convalescence. Finally, trend research topics were presented in virtual reality, male, female, aged, chronic obstructive lung disease, human, exercise, quality of life, and middle-aged, respectively, in 2023. Conclusion: Therefore, the contribution from data analysis in this article can identify th","PeriodicalId":298884,"journal":{"name":"Journal of Associated Medical Sciences","volume":"11 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141014508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}