Technology and Health Care - Volume 32, issue 5

Authors: Harel, Daphna | Lubetzky, Anat Vilnai

Article Type: Research Article

Abstract: BACKGROUND: Standing is a basic human function that healthy adults take for granted, yet it is a complex perceptual-motor process that requires sensation of position and motion from the sensory systems. OBJECTIVE: We assessed agreement between center of pressure data from a laboratory force-platform and head position data from an HTC Vive head-mounted display (HMD) for the evaluation of standing postural control. We investigated the impact of different statistical choices when assessing the relationship between two measurements. Specifically: 1) How does correlation and agreement statistics relate before and after logarithmic transformation? 2) Is there systemic or …proportional bias between the force-platform and HMD measurements? METHODS: We tested 37 adults (26 controls, 11 with unilateral vestibular hypofunction) standing on foam, observing a static or dynamic visual scene projected from the HMD. We quantified anterior-posterior and medio-lateral sway via Directional Path, Root Mean Square Velocity, Variance, and Power Spectral Density (PSD) from a force-platform and the HMD. RESULTS: Intra-class correlations (ICCs) were moderate-to-good for the non-transformed data and good-to-excellent after logarithmic transformation for all outcomes except for PSD above 1 Hz. Correlations were higher than ICCs. Bland-Altman plots indicated proportional bias but not after logarithmic transformation. CONCLUSIONS: Both devices correlated linearly, and measure people’s postural responses but cannot be used interchangeably, mostly because they appear to diverge with larger sway as evident on Bland-Altman plots of non-transformed data. Agreement between devices was excellent for low frequency movement but poor for high frequency small corrective movements. Show more

Keywords: Virtual reality, Bland-Altman, correlations, postural control, balance

DOI: 10.3233/THC-231338

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2965-2979, 2024

Authors: Zhong, Wei-Wei | Yuan, Yue | Jin, Hong-Yan | Tang, Ji-Ming | Zhao, Qian | Piao, Li-Yan

Article Type: Research Article

Abstract: BACKGROUND: One of the main illnesses in the globe that causes impairment and death in people is stroke. In the globe today, it ranks as the second leading cause of death and the leading cause of death in China. OBJECTIVE: This paper analyses into the critical role of risk perception in developing individual awareness of stroke risk and encouraging proactive preventive health behaviors, essential for effective primary stroke prevention strategies and reduced stroke incidence. It discusses the concept of risk perception, the content and dimensions of global stroke assessment tools, and their application status, aiming to …provide insights for their development and intervention research. METHODS: Risk perception encompasses subjective assessments of stroke likelihood and severity, influenced by personal experiences, knowledge of risk factors, beliefs about prevention effectiveness, and emotional responses. Global stroke assessment tools, like the Framingham Stroke Risk Score and CHA2DS2-VASc Score, evaluate stroke risk based on factors such as age, gender, blood pressure, and cholesterol levels. In order to improve risk perception and proactive health management and lower the burden of strokes, the paper assesses the advantages and disadvantages of these tools and makes recommendations for improving accessibility, customizing interventions, running educational campaigns, promoting multidisciplinary collaboration, and integrating technology. RESULTS: By combining the research tools of stroke risk perception, it is found that the evaluation tools are mostly single-dimensional evaluation tools centered on the two dimensions of onset possibility and susceptibility. CONCLUSION: Some scholars have developed multi-dimensional evaluation tools, but the evaluation population is relatively limited, and the evaluation system lacks comprehensiveness and systematization. Show more

Keywords: Stroke, assessment tool, research progress, review

DOI: 10.3233/THC-231343

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2981-2993, 2024

Authors: Cen, Gengyu | Xia, Yumei | Liang, Zhijian

Article Type: Research Article

Abstract: BACKGROUND: Stroke is one of the leading causes of disability and mortality worldwide. OBJECTIVE: To identify the regulatory network of microRNAs (miRNAs) and mRNAs to clarify molecular mechanisms in stroke. METHODS: Four miRNA datasets and two mRNA datasets of stroke were downloaded from the GEO database. R-Studio was utilized to analyze differentially expressed miRNAs (DEmiRNAs) and mRNAs (DEmRNAs) in the blood of stroke and control patients. FunRich software was utilized to conduct GO and biological pathway analysis on DEmiRNAs, and to search for transcription factors (TFs) of DEmiRNAs. Subsequently, we used miRDB, miRTarBase, …and TargetScan to identify DEmiRNAs target genes and intersected with DEmRNAs to find common target genes. The miRNA-mRNA regulatory network of common target genes was constructed by using the Cytoscape. The biological and functional roles of target genes in the regulatory network were predicted using GO and KEGG pathway analyses. RESULTS: 464 DEmiRNAs and 329 DEmRNAs were screened. The top ten TFs (SP1, SP4, EGR1, TCF3, NKX6-1, ZFP161, RREB1, MEF2A, NFIC, POU2F1) were visualized. 16747 target genes of DEmiRNAs were predicted. Target genes were intersected with DEmRNAs, 107 common target genes and 162 DEmiRNAs regulating these common genes were obtained, and then a regulatory network was constructed. Target genes of the regulatory network were primarily enriched in VEGF signaling pathway, lipid and atherosclerosis, T cell receptor signaling pathway. CONCLUSION: This study found that VEGF signaling pathway, lipid and atherosclerosis, T cell receptor signaling pathway are implicated in the biological process of stroke by constructing the regulatory network of miRNAs-mRNAs, which may have guide significance for the pathogenesis and treatment of stroke. Show more

Keywords: Stroke, microRNAs, mRNAs, molecular mechanisms, bioinformatics analysis

DOI: 10.3233/THC-231357

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2995-3006, 2024

Authors: Yadalam, Pradeep Kumar | Anegundi, Raghavendra Vamsi | Ramadoss, Ramya | Shrivastava, Deepti | Almufarrij, Raha Ahmed Shamikh | Srivastava, Kumar Chandan

Article Type: Research Article

Abstract: BACKGROUND: Wnt activation promotes bone formation and prevents bone loss. The Wnt pathway antagonist sclerostin and additional anti-sclerostin antibodies were discovered as a result of the development of the monoclonal antibody romosozumab. These monoclonal antibodies greatly increase the risk of cardiac arrest. Three-dimensional quantitative structure-activity relationships (3D-QSAR) predicts biological activities of ligands based on their three-dimensional features by employing powerful chemometric investigations such as artificial neural networks (ANNs) and partial least squares (PLS). OBJECTIVE: In this study, ligand-receptor interactions were investigated using 3D-QSAR Comparative molecular field analysis (CoMFA). Estimates of steric and electrostatic characteristics in CoMFA …are made using Lennard-Jones and Coulomb potentials. METHODS: To identify the conditions necessary for the activity of these molecules, fifty Food and Drug Administration (FDA)-approved medications were chosen for 3D-QSAR investigations and done by CoMFA. For QSAR analysis, there are numerous tools available. This study employed Open 3D-QSAR for analysis due to its simplicity of use and capacity to produce trustworthy results. Four tools were used for the analysis on this platform: Py-MolEdit, Py-ConfSearch, and Py-CoMFA. RESULTS: Maps that were generated were used to determine the screen’s r2 (Coefficient of Multiple Determinations) value and q2 (correlation coefficient). These numbers must be fewer than 1, suggesting a good, trustworthy model. Cross-validated (q2) 0.532 and conventional (r2) correlation values of 0.969 made the CoMFA model statistically significant. The model showed that hydroxamic acid inhibitors are significantly more sensitive to the steric field than the electrostatic field (70%) (30%). This hypothesis states that steric (43.1%), electrostatic (26.4%), and hydrophobic (20.3%) qualities were important in the design of sclerostin inhibitors. CONCLUSION: With 3D-QSAR and CoMFA, statistically meaningful models were constructed to predict ligand inhibitory effects. The test set demonstrated the model’s robustness. This research may aid in the development of more effective sclerostin inhibitors that are synthesised using FDA-approved medications. Show more

Keywords: 3dQSAR, sclerostin, bone formation

DOI: 10.3233/THC-231358

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3007-3019, 2024

Authors: Cao, Yi | Li, Chongfei | Yang, Cheng

Article Type: Research Article

Abstract: BACKGROUND: Physical education and training are essential ways to improve the physical quality of the nation, and China has incorporated “building a healthy China” and “fitness for all” into its national development strategy, integrating a strong sports nation into the Chinese dream. OBJECTIVE: The study of digital recording and automated training in sports is of profound value. Motion capture technology can digitally record the training process in a digital physical education training system. At the same time, accurate modeling and calculation can analyze the training effects and give appropriate guidance and feedback. This study develops a …new and improved hierarchical K-means algorithm by combining the known classification algorithm K-means with a hierarchical algorithm. METHODS: The performance of the old and new algorithms are compared and then applied to physical education training data to produce clustering results and analysis to reduce the model, which is used to reduce the number of parameters in the model and improve the recognition speed. RESULTS: The experimental results demonstrate that the relevant models proposed in this study achieve an average accuracy of 91.27% and 92.26%, respectively, which is better than a single network model and can effectively use big data for health event detection. CONCLUSION: The empirical results show that the improved model algorithm outperforms the single network model and can detect health events using big data. Show more

Keywords: Big data, health, physical education, training action detection, hierarchical K-mean algorithm optimization

DOI: 10.3233/THC-231417

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3021-3036, 2024

Authors: Stjepić, Maja Kovačević | Rifatbegović, Zijah | Cerovac, Anis | Agić, Mirha | Mehmedović, Zlatan | Habek, Dubravko | Vranić, Semir | Ahmetašević, Emir | Trnačević, Senaid

Article Type: Research Article

Abstract: BACKGROUND: Despite improvements, survival rates for gastric cancer remain low, even in developed countries, confirming the role of primary and secondary prevention. OBJECTIVE: This study aims to demonstrate the role of additional suspension sutures on the esophagojejunal anastomosis (EJA) to strengthen the anastomosis, i.e., relieve the mechanical suture. METHODS: A retrospective cohort study was conducted from 2011 to 2022 at the Clinic for Surgery, University Clinical Center Tuzla, Bosnia and Herzegovina. The experimental group consisted of patients placed with a suspension suture at the esophagojejunal anastomosis (EJA) site after total gastrectomy. The control …group was patients without a suspension suture. The clinical and laboratory parameters available from the medical history were analyzed, X-ray passage, surgical complications, non-surgical complications, the length of hospitalization, the postoperative course, time of onset of postoperative complications, postoperative radiological follow-up and endoscopic postoperative follow-up were then analyzed. RESULTS: A total of 212 patients were included in the study: 87 in the experimental group with suspension sutures on the EJA and 125 in the control group without suspension sutures on the EJA. The two cohorts did not differ in other clinicopathologic parameters except perineural invasion, which was more prevalent in the control group. Patients in both groups were anemic and elevated values of C reactive protein (CRP) and decreased levels of proteins, albumin and globulin, with no significant difference between the two groups. The most common general complication was pleural effusion (28%), followed by pneumonia (∼ 22%). The most common complication in the experimental group was an intraabdominal abscess, while in the control group, it was a surgical wound infection. CONCLUSION: Our study did not show a statistically significant difference between the two analyzed EJA techniques created with a circular stapler, when it comes to postoperative course and outcome in patients with gastric cancer. Show more

Keywords: Gastric cancer, surgery, postoperative outcome

DOI: 10.3233/THC-231467

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3037-3046, 2024

Authors: Lu, Jian-Lin | Yuan, Xiao-Yan | Zhang, Jin-Shan | Li, Yuan

Article Type: Research Article

Abstract: BACKGROUND: Ever since the GALAD (gender-age-Lens culinaris agglutinin-reactive alpha-fetoprotein-alpha-fetoprotein-des-gamma-carboxy prothrombin) logistic regression model was established to diagnose hepatocellular carcinoma (HCC), there has been no high-level evidence that evaluates and summarizes it. OBJECTIVE: This meta-analysis was performed to assess the diagnostic ability of the GALAD model. METHODS: The following databases were systematically searched for original diagnostic studies on HCC: PubMed, Embase, Medline, the Web of Science, Cochrane Library, China National Knowledge Infrastructure Wanfang (China), Wiper and the Chinese BioMedical Literature Database. After screening the search results according to our criteria, the Quality Assessment …of Diagnostic Accuracy Studies 2 tool was used to evaluate the methodologic qualities, and statistical software were used to output the statistics. RESULTS: Ultimately, 10 studies were included and analyzed. The results revealed the pooled sensitivity and specificity of the GALAD model to be 0.86 (95% confidence interval [CI]: 0.82, 0.90) and 0.90 (95% CI: 0.87, 0.92), respectively, for all-stage HCC. The area under the curve (AUC) was 0.94. For early-stage HCC, the pooled sensitivity and specificity of the GALAD model were 0.83 (95% CI: 0.78, 0.87) and 0.81 (95% CI: 0.78, 0.83), respectively. The AUC was 0.90. CONCLUSION: This meta-analysis confirmed that the GALAD model has excellent diagnostic performance for early-stage and all-stage HCC and can maintain high sensitivity and specificity in early-stage HCC. Therefore, the GALAD model is qualified for screening early-stage canceration from chronic liver disease. Show more

Keywords: HCC, logistic models, biomarkers, diagnostic efficiency, early detection of cancer

DOI: 10.3233/THC-231470

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3047-3061, 2024

Authors: Terzi, Mithat | Buyuk, Suleyman Kutalmış | Akdemir, Hale

Article Type: Research Article

Abstract: BACKGROUND: Botulinum toxin, commonly referred to as botox, is frequently used in facial aesthetics, but also has therapeutic applications in various medical and surgical conditions such as bruxism treatment. OBJECTIVE: The aim of this research is to evaluate the information quality of only English resources available on the Internet regarding the use of botulinum toxin in the treatment of bruxism. METHODS: The terms “Botox + Tooth Grinding” selected for this study were searched on the Internet using the Google Search Engine, and the URLs of the top 150 websites containing …only English pages were recorded and examined. The websites were assessed using DISCERN tools, the Journal of the American Medical Association (JAMA) benchmark, and HONcode tools. The website readability evaluation involved utilizing the Flesch Reading Ease Score (FRES) and the Flesch-Kincaid Grade Level (FKGL). RESULTS: A total of 130 websites met the inclusion criteria. The total mean DISCERN score (section 1 + section 2) for all websites was 39.75/75 (range: 15–67). The average FRES of all websites was 52.79, and the average FKGL score of all websites was 10.72. Internet blog websites had significantly higher DISCERN (Section 1) scores than other websites (p = 0.007). Only one website had the HON code. Internet blog websites showed better compliance with JAMA (authorship and currency) benchmarks. No statistically significant difference was determined related to FRES and FKGL scores between groups (p > 0.05). CONCLUSIONS: There is moderate and difficult-to-read information on the Internet about masseter botox injection for bruxism. Relevant guidelines are needed to improve the quality of websites about botulinum toxin for the treatment of bruxism. Show more

Keywords: Botox, bruxism, dentistry, Internet

DOI: 10.3233/THC-231674

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3063-3071, 2024

Authors: Liang, Yan | Wang, Dan

Article Type: Research Article

Abstract: BACKGROUND: The number of studies which investigate the association between TLR9 gene polymorphism and Helicobacter pylori (H.pylori) infection is low and their results are not consistent. OBJECTIVE: To get a better understanding of the association between TLR9 gene polymorphism and H.pylori infection, providing basis and risk assessment for precision nursing for hospital nurses. METHODS: A total of 630 normal physical examination subjects were collected including 240 H.pylori (+ ) and 390 H.pylori (- ) subjects. PCR-RFLP was applied to investigate the present polymorphism. At the same time, the meta-analysis …was performed between TLR9 gene polymorphism and H.pylori infection risk. RESULTS: Three genotypes (TT, TC, and CC) were observed for TLR9 gene rs187084 polymorphism. CC genotype and C allele were responsible for the significant associations (all P < 0.05). Meta-analysis found no significant associations were found by any genetic models (all P > 0.05). CONCLUSION: TLR9 polymorphism has a crucial role in H.pylori infection risk and CC genotype confers increased risk to H.pylori infection in the Southern Chinese population. After understanding the influence of TLR9 gene polymorphism on H.pylori infection, nurses can improve the risk assessment of Helicobacter pylori infection and provide health education more personally. Show more

Keywords: TLR9, gene polymorphism, Helicobacter pylori infection, meta-analysis, precision nursing

DOI: 10.3233/THC-231677

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3073-3082, 2024

Authors: Gao, Fei | Wang, Yongcun | Li, Hao | Yin, Jilai

Article Type: Research Article

Abstract: BACKGROUND: Cervical cancer (CC) is a common female malignancy, with a global incidence rate second only to breast cancer. OBJECTIVE: To propose a new idea for early treatment and auxiliary diagnosis of CC by exploring the diagnostic and prognostic implications of serum miR-182 in CC. METHODS: We enrolled 70 CC patients, 35 cervical intraepithelial neoplasia (CIN) patients and 35 healthy controls (HCs), who visited The First Affiliated Hospital of Hainan Medical College Hospital between January 2015 and April 2016. miR-182 expression was quantified by real-time quantitative PCR and compared among the three groups. …The correlation of serum miR-182 expression with patients’ clinical features was evaluated. The receiver operating characteristic curve (ROC) and the Kaplan-Meier method were used to evaluate the early diagnostic value and prognostic value of serum miR-182. Cox regression analysis was performed to determine serum miR-182 expression and its important role in predicting CC patients’ prognosis. RESULTS: Serum miR-182 expression was determined to be 0.345 ± 0.094, 0.369 ± 0.076, and 0.586 ± 0.157 in CC patients, CIN patients, and HCs, respectively (P < 0.001). Serum miR-182 expression had an obvious association with lymph node metastasis and pathological differentiation (P < 0.05). The area under the ROC curve (AUC) of serum miR-182 was 0.709 (95% CI: 0.622–0.795), the critical value was 0.456, the sensitivity was 81.4%, and the specificity was 52.9%. CC patients were grouped as either the low- (miR-182 < 0.3) or high-level group (miR-182 ⩾ 0.03) based on serum miR-182 levels, and a Cox regression model of OS was established. Serum miR-182 expression was identified as a factor independently influencing CC patients’ OS (P = 0.028); the death risk of the high-level group was 3.246 times that of the low-level group. CONCLUSION: Serum miR-182 expression is not only a biomarker for early diagnosis of CC, but also one of the independent factors influencing the survival and prognosis of CC patients. Show more

Keywords: Serum miR-182, cervical cancer, diagnosis, prognosis

DOI: 10.3233/THC-231681

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3083-3095, 2024