Khatija Noorullah, Shayna Emily Oshita, Amy T McNeil, Anum Ijaz, Laila Iqbal, Scott L Tomar, Patrick Dean Smith, Sobia Bilal
{"title":"Bridging Nutrition and Dentistry: An Interprofessional Education (IPE) Experience Model.","authors":"Khatija Noorullah, Shayna Emily Oshita, Amy T McNeil, Anum Ijaz, Laila Iqbal, Scott L Tomar, Patrick Dean Smith, Sobia Bilal","doi":"10.2147/JMDH.S514494","DOIUrl":"10.2147/JMDH.S514494","url":null,"abstract":"<p><strong>Purpose: </strong>Interprofessional Education (IPE) is essential for fostering collaborative healthcare practices. The purpose of this paper is to share a detailed description of the design, development process, implementation, and planned evaluation of an IPE model connecting Nutrition and Dentistry programs at the University of Illinois Chicago (UIC). The program sought to address educational gaps and enhance collaborative learning among healthcare students.</p><p><strong>Methods: </strong>This IPE teaching activity was guided by the World Health Organization's IPE guidelines and the Core Competencies for Interprofessional Collaborative Practice. The process involved the formulation of educational model, preparation of students and implementation of three IPE sessions as a collaborative effort between dental and nutrition faculty. Teaching strategies included small group discussions and case studies to foster inclusive learning. The IPE teaching activity evaluation presented in this article corresponds to traditional pretest-posttest (TPP) design, using a validated IPE tool SPICE-R2. Qualitative reflective feedback was collected to understand the program's impact on professional confidence and holistic care delivery. Quantitative analysis was conducted using <i>T</i>-test for pre and post SPICE-R2 scores and thematic analysis to analyze the qualitative reflections.</p><p><strong>Results: </strong>Pre and post SPICE-R2 scores analysis showed significant improvements in overall students'. For the domains of interprofessional teamwork, understanding of roles, and patient care outcomes, high significance was noted. Qualitative feedback highlighted the program's success in enhancing professional confidence and promoting patient-centered care. Students valued the diverse and dynamic teaching strategies employed. Challenges included space limitations and initial role clarification difficulties.</p><p><strong>Conclusion: </strong>This IPE model effectively improved students' perception towards interprofessional collaborative teamwork, roles and patient outcomes. Recommendations for future iterations include expanding the program to multiple institutions, varied learning environments, and long-term assessments to ensure sustained impact. These findings underscore the importance of Interprofessional Education in preparing healthcare professionals for collaborative practice and improving patient care outcomes.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"3039-3049"},"PeriodicalIF":2.7,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12135949/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144225694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Talal Ali F Alharbi, Mohammad Rababa, Hamad Alsuwayl, Abdulmajeed Alsubail, Waleed Sulaiman Alenizi
{"title":"Diagnostic Challenges and Patient Safety: The Critical Role of Accuracy - A Systematic Review.","authors":"Talal Ali F Alharbi, Mohammad Rababa, Hamad Alsuwayl, Abdulmajeed Alsubail, Waleed Sulaiman Alenizi","doi":"10.2147/JMDH.S512254","DOIUrl":"10.2147/JMDH.S512254","url":null,"abstract":"<p><strong>Background: </strong>Accurate diagnosis is critical for patient safety, guiding treatment and preventing harm. Diagnostic errors remain prevalent, contributing to avoidable harm, increased healthcare costs, and morbidity. Understanding diagnostic accuracy is essential to improving clinical outcomes.</p><p><strong>Objective: </strong>This review aims to systematically explore the impact of accurate diagnosis on patient safety, identifying challenges in current diagnostic practices and strategies for improvement.</p><p><strong>Methods: </strong>A comprehensive search of PubMed, CINAHL, the Cochrane Library, and Google Scholar was conducted from 2010-2024. Initial screening yielded 579 records, using keywords like \"accurate diagnosis\", \"diagnostic errors\", and \"patient safety.\" A full-text review of 125 studies was conducted after duplicates were eliminated and titles and abstracts were screened for relevancy. Exclusion criteria excluded studies with inadequate data, non-English publications, and opinion pieces, while inclusion criteria mandated that studies concentrate on patient safety and diagnostic accuracy in acute care settings. Ultimately, 26 studies were found to meet the final eligibility requirements and were added to the review. Retrospective cohort studies and randomized controlled trials were among the study designs.</p><p><strong>Results: </strong>Accurate diagnosis was found to improve treatment efficacy, enhances patient safety, and reduces unnecessary procedures. Challenges include cognitive biases, insufficient diagnostic tools, and fragmented care. Technological advancements, including artificial intelligence (AI) and machine learning, were found to significantly enhance diagnostic precision. Despite these benefits, variability in clinical skills and systemic barriers remain substantial obstacles.</p><p><strong>Conclusion: </strong>Accurate diagnosis is essential to enhancing patient safety. The results of this review indicate that using AI tools, improving clinician training, and creating standardized diagnostic procedures may help reduce diagnostic errors; however, because of the small dataset and lack of meta-analysis, the findings should be interpreted cautiously. To further evaluate the effect of diagnostic accuracy on patient safety, future research should concentrate on carrying out larger-scale studies and statistical validations.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"3051-3064"},"PeriodicalIF":2.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12134007/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144225695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kateryna Kozak, Halyna Pavlyshyn, Sandor George Vari
{"title":"Prognostic Value of Caspase-3 and Cardiac Troponin I in Assessing Cardiovascular Risk in Pediatric COVID-19 and Multisystem Inflammatory Syndrome.","authors":"Kateryna Kozak, Halyna Pavlyshyn, Sandor George Vari","doi":"10.2147/JMDH.S514776","DOIUrl":"10.2147/JMDH.S514776","url":null,"abstract":"<p><strong>Purpose: </strong>The studies of COVID-19-related cardiovascular events in children are not widespread. Criteria for cardiovascular dysfunction have been explicitly proposed for multisystem inflammatory syndrome in children (MIS-C), while for other COVID-19 manifestations, it remains unclear. Although instrumental confirmation of cardiovascular injury is well-known, laboratory markers for such injuries have not been thoroughly studied. Our study aimed to identify prognostic cut-off values for caspase-3 and cardiac troponin I (cTI) to define cardiovascular injury in pediatric COVID-19 patients during acute infection and MIS-C.</p><p><strong>Patients and methods: </strong>A cross-sectional study was conducted in Ternopil, Ukraine, involving two hundred sixty children aged one month to 17 years who had not previously been vaccinated against SARS-CoV-2. The research focused on different severities of COVID-19: mild (n=87); moderate (n=66); severe COVID-19 (n=22); MIS-C (n=40) and 45 non-SARS-CoV-2 infected persons. ELISA tests were used to measure caspase-3 and cardiac troponin I levels.</p><p><strong>Results: </strong>Caspase-3 and cTI levels were significantly higher in patients with severe COVID-19 and MIS-C compared to non-infected individuals. Furthermore, COVID-19 and MIS-C patients with cardiac abnormalities had substantially higher levels of caspase-3 and cTI compared to those without structural changes. The study also revealed a positive correlation between caspase-3 and cardiac troponin I levels in both the COVID-19 group (r = 0.41; p < 0.05) and the MIS-C group (r = 0.55; p < 0.05). The study has identified specific cut-off values for caspase-3 and cTI that can be used to predict cardiovascular structural changes in pediatric patients with COVID-19 and MIS-C. These values are caspase-3 ≥ 5.22 ng/mL, cTI≥ 1.34 ng/mL for COVID-19, and caspase-3 ≥ 6.52 ng/mL and cTI ≥ 0.39 ng/mL for MIS-C.</p><p><strong>Conclusion: </strong>Current research has demonstrated that children with severe COVID-19, as well as patients with MIS-C, must undergo careful screening for cardiovascular events that could include biomarkers.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"3009-3019"},"PeriodicalIF":2.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12132052/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144216109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adipose-Derived Stem Cells for Cartilage Tissue Engineering: A Bibliometric Analysis of Trends and Themes.","authors":"Jing Zhang, Kai Wu, Lin Zhou, Shusen Zheng","doi":"10.2147/JMDH.S522203","DOIUrl":"10.2147/JMDH.S522203","url":null,"abstract":"<p><strong>Purpose: </strong>Adipose-derived stem cells (ADSCs) have shown great potential in cartilage tissue engineering (TE) due to their accessibility, high proliferation rate, and chondrogenic differentiation capacity. This study aims to systematically evaluate research trends, collaboration patterns, and emerging themes in ADSC-based cartilage TE through a bibliometric analysis, providing actionable insights to address knowledge gaps and advance the field.</p><p><strong>Patients and methods: </strong>A systematic search was conducted on the Web of Science Core Collection (WoSCC) database to identify publications related to ADSCs and cartilage TE. Bibliometric and visualized analysis was performed using VOSviewers (V 1.6.20), CiteSpace (V 6.3.R1) and Bibliometrix (R 4.3.3).</p><p><strong>Results: </strong>A total of 436 English articles were analyzed, involving 2356 authors from 1532 institutions across 50 countries/regions, contributing to 189 journals. The annual growth rate of publications was 8.73%, peaking in 2021. China contributed the most articles (n=127, 29.1%), followed by the USA (n=65, 14.9%). Leading institutions included Kaohsiung Medical University and Duke University. <i>Tissue Engineering Part A</i> had the highest H-index (21) and the most publications (n = 26). Reis Rui L. and Gomes Manuela E. were among the most influential contributors. Keyword analysis revealed an early focus on \"in-vitro\" studies and \"bone-marrow\", which later transitioned to \"chondrogenic differentiation\", \"growth\", and \"regeneration\". Recent trends since 2020 include \"3D printing\", \"mesenchymal stem cells\", and \"cartilage repair\", reflecting the field's evolution towards advanced technologies and translational applications.</p><p><strong>Conclusion: </strong>This bibliometric analysis provides valuable guidance for researchers, clinicians, and policymakers, emphasizing the necessity of addressing translational challenges and fostering global collaboration to develop clinically effective solutions for cartilage repair and regeneration.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"3023-3037"},"PeriodicalIF":2.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12132534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144216106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Normalization Process Theory in Discharge Planning: A Systematic Review of Implementation Strategies and Outcomes.","authors":"Urip Rahayu, Kusman Ibrahim, Herry Herman","doi":"10.2147/JMDH.S523495","DOIUrl":"10.2147/JMDH.S523495","url":null,"abstract":"<p><strong>Background: </strong>Discharge planning is an important aspect of healthcare to ensure continuity of patient care after hospital discharge. Normalization Process Theory (NPT) has been used to understand how discharge planning interventions can be implemented effectively in clinical practice.</p><p><strong>Purpose: </strong>This review aimed to explore the use of Normalization Process Theory (NPT) in patient discharge planning and how this theory is applied in various healthcare contexts.</p><p><strong>Methods: </strong>A systematic review was conducted using the PRISMA method, using four international databases: PubMed, Scopus, Taylor & Francis, and EBSCO-host. Articles were selected based on inclusion criteria and evaluated using JBI Critical Appraisal Tools and MMAT. The keywords used were patient discharge OR patient transfer/organization and administration OR discharge plan OR patient transfer OR discharge planning AND Normalization process theory OR normalization process model OR NPT OR NPM. The analysis was carried out using descriptive qualitative and thematic analysis.</p><p><strong>Results: </strong>A total of 8 articles that fulfilled the criteria were included in the analysis. The results suggest that implementing NPT enhances the discharge planning process and facilitates the development of more effective intervention models. NPT was utilized as a framework for data collection, coding, and analysis of the discharge planning implementation process. In addition, NPT is associated with improved coordination among healthcare workers, more effective psychosocial support for families, and increased patient compliance with treatment.</p><p><strong>Conclusion: </strong>The application of NPT inpatient discharge planning allows a deeper understanding of the factors that influence the successful implementation of interventions. The use of NPT in research can help improve the quality of discharge planning by considering aspects of team coordination, patient support, and the effectiveness of evidence-based interventions.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"2997-3008"},"PeriodicalIF":2.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12132630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144216107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Logistics Management Information System (LMIS) for Health Commodities at Public Health Facilities in Amhara National Regional State of Ethiopia: A Data Quality Evaluation Survey [Response to Letter].","authors":"Zelalem Tilahun Mekonen, Denny J Cho, Teferi Gedif Fenta","doi":"10.2147/JMDH.S538744","DOIUrl":"https://doi.org/10.2147/JMDH.S538744","url":null,"abstract":"","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"3021-3022"},"PeriodicalIF":2.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12132599/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144216108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Clinical Pharmacist Consultation on the Treatment of Multi-Drug Resistant Organisms (MDRO) Infections: A Retrospective Observational Study.","authors":"Fang Fang, Xiaobo Zhai, Siwei Bao, Xiucong Fan, Rong Bai, Yabin Ma, Xiaohui Dong","doi":"10.2147/JMDH.S505931","DOIUrl":"10.2147/JMDH.S505931","url":null,"abstract":"<p><strong>Purpose: </strong>Multidrug-resistant organisms (MDROs) infections are associated with high mortality in hospitalized patients. Clinical pharmacists play a crucial role in optimizing anti-infection treatment strategies. This study aimed to evaluate the impact of clinical pharmacist consultation on the treatment of inpatients with MDRO infections.</p><p><strong>Methods: </strong>Patients infected with MDROs who received clinical pharmacist consultation between June 2020 and June 2023 were enrolled. The adoption rate and effectiveness rate of consultation were calculated. Univariate and multivariate logistic regression analyses were conducted to identify factors influencing the effectiveness rate of consultation. Cox regression analysis was employed to estimate the 30-day survival rate post-consultation for patients infected with MDROs, comparing those who adopting pharmacists' suggestions with those who did not.</p><p><strong>Results: </strong>A total of 620 patients were included. More patients were from the surgical system, especially neurosurgery. The top 3 infection sites were respiratory tract, urinary tract and blood, with prevalent MDROs including Carbapenem-resistant Klebsiella pneumoniae (CRKP), Carbapenem-resistant Acinetobacter baumannii (CRAB), and Carbapenem-resistant Pseudomonas aeruginosa (CRPA). Following the implementation of consultation recommendations, patients exhibited significant reductions in temperatures, inflammatory markers, and Sequential Organ Failure Assessment (SOFA) scores. The adoption and effectiveness rate of consultation were 89.67% and 58.71%, respectively. Multivariate analysis showed that there were significant association of liver dysfunction (adjusted OR = 0.331, 95% CI: 0.217-0.504), severity of infection (adjusted OR = 0.292, 95% CI: 0.151-0.562) and adopting pharmacists' suggestions (adjusted OR = 1.987, 95% CI: 1.126-3.507) with the effectiveness rate of consultation. Cox regression analysis revealed a significant difference in the 30-day survival rate between MDRO patients who received pharmacist recommendations and those who did not (HR = 0.422, 95% CI: 0.185-0.963, P = 0.04).</p><p><strong>Conclusion: </strong>Our research indicated that the involvement of clinical pharmacists could be advantageous for patients afflicted with MDRO infections.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"2983-2995"},"PeriodicalIF":2.7,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127735/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144208730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingwen Yin, Xi Chen, Jingjing Sun, Yu Wang, Kunkun Wang
{"title":"Risk Assessment of Linezolid-Associated Neurological Adverse Drug Reactions Based on the Food and Drug Administration Adverse Event Reporting System Database.","authors":"Jingwen Yin, Xi Chen, Jingjing Sun, Yu Wang, Kunkun Wang","doi":"10.2147/JMDH.S507827","DOIUrl":"10.2147/JMDH.S507827","url":null,"abstract":"<p><strong>Objective: </strong>To conduct data mining and analysis on neurological adverse drug reactions (ADRs), defined as any unwanted neurological effects caused by the use of linezolid, affecting both the central and peripheral nervous systems. This study also aims to investigate potential drug-drug interactions that may increase the risk of these ADRs when linezolid is used in combination with other medications. The findings aim to provide guidance for the safe clinical use of linezolid.</p><p><strong>Methods: </strong>Data from the US Food and Drug Administration Adverse Event Reporting System between 1 July 2014 and 30 June 2024 were analysed to identify linezolid-related neurological ADRs. The Ω shrinkage measure was used to detect drugs associated with an elevated risk of neurological ADRs.</p><p><strong>Results: </strong>A total of 8521 reports of linezolid-related ADRs were retrieved, of which 20.12% (1720 cases) involved neurological ADRs. Forty-five signals of neurological ADRs were detected, with serotonin syndrome (436 cases, reporting odds ratio [ROR] = 43.66, representing 25.35%) and peripheral neuropathy (413 cases, ROR = 7.88, representing 24.01%) being the most prevalent. Additionally, 23 previously undocumented ADR signals and 21 drugs associated with an increased risk of neurological ADRs (Ω 025 > 0) were identified.</p><p><strong>Conclusion: </strong>This study highlights the need for careful monitoring of neurological ADRs associated with linezolid, vigilance regarding previously undocumented ADRs and the prudent management of concomitant medications. These findings provide essential guidance for the safe clinical use of linezolid.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"2969-2981"},"PeriodicalIF":2.7,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127208/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144208729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"No Genetic Causal Relationship between COVID-19 and Herpes Zoster: A Bidirectional Mendelian Randomization Analysis.","authors":"Yuan Cao, Xinhua Hu, Jun Li, Yumin Zheng","doi":"10.2147/JMDH.S518008","DOIUrl":"10.2147/JMDH.S518008","url":null,"abstract":"<p><strong>Purpose: </strong>Increased incidences of herpes zoster (HZ) have been reported among COVID-19 patients, but the underlying causal mechanisms remain unclear. Inspired by an atypical case of HZ in a COVID-19 patient, we conducted a bidirectional Mendelian randomization (MR) analysis to investigate potential causal relationships.</p><p><strong>Patients and methods: </strong>The genetic statistics were extracted from the COVID19-hg GWAS meta-analyses and the IEU GWAS database. MR analyses were performed using the inverse-variance weighted (IVW) method as the primary approach, with MR-Egger, weighted median, simple mode, and weighted mode methods as supplementary strategies. Heterogeneity and pleiotropy were assessed using Cochran's Q test, MR-Egger intercept, and MR-PRESSO analysis, while outliers were evaluated with MR-radial plots.</p><p><strong>Results: </strong>The MR analysis did not support a significant causal relationship between COVID-19 and HZ. In the forward analysis, the IVW method revealed no significant associations between COVID-19 susceptibility (β = -0.053, SE = 0.182, P = 0.77), hospitalization (β = 0.060, SE = 0.069, P = 0.38), or severity (β = 0.015, SE = 0.048, P = 0.75) and HZ. Similarly, the reverse analysis showed no significant effect of HZ on COVID-19 susceptibility (β = 0.006, SE = 0.006, P = 0.33), hospitalization (β = -0.012, SE = 0.012, P = 0.32), or severity (β = -0.015, SE = 0.020, P = 0.46). Sensitivity analyses confirmed these findings, showing no substantial heterogeneity or horizontal pleiotropy.</p><p><strong>Conclusion: </strong>Our findings provide no evidence of a causal relationship between genetic predisposition to COVID-19 and the risk of HZ reactivation. The observed clinical association may be attributable to non-genetic factors, such as immune suppression or stress related to COVID-19 and its treatment. Further studies are warranted to explore these alternative mechanisms and improve clinical management of HZ in the context of COVID-19.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"2957-2967"},"PeriodicalIF":2.7,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12126108/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144199360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lichong Meng, Kun Lian, Junyu Zhang, Lin Li, Zhixi Hu
{"title":"Evolution of Research on Artificial Intelligence for Heart Failure: A Bibliometric and Visual Analysis.","authors":"Lichong Meng, Kun Lian, Junyu Zhang, Lin Li, Zhixi Hu","doi":"10.2147/JMDH.S525739","DOIUrl":"10.2147/JMDH.S525739","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the role of artificial intelligence in enhancing precise diagnosis, personalized treatment, and efficient monitoring of heart failure over the past two decades and to predict future advancements of these investigations.</p><p><strong>Methods: </strong>A literature search was conducted using keywords from the Web of Science database from January 1, 2004, to August 31, 2024, and 684 articles were retrieved. Bibliometric and visual analysis was conducted to examine annual publication volume; and to analyze authors, institutions, countries, journals, references, and keywords. The following tools were utilized for the analysis: Citespace, SCImago Graphica, Microsoft Office Excel, VOSviewer, and Pajek.</p><p><strong>Results: </strong>The 684 retrieved studies comprised 70 countries/regions, 1550 institutions, and 4610 authors. The annual publishing output increased gradually between 2004 and 2016, and escalated significantly beyond 2017, particularly from 2021 to 2024. This upward trend is anticipated to persist in the future. Sengupta, Partho P., and Shah, Sanjiv J. were the most productive authors. The University of California and Harvard University were the leading institutions in the number of publications within this discipline. The primary nations conducting research in this domain are China and the United States; the United States predominates research impact and global collaboration. Moreover, Frontiers in Cardiovascular Medicine is the leading journal with the most articles published in this area, while Circulation ranks the highest in co-citations. The keywords include HF, machine learning, AI, and diagnosis.</p><p><strong>Conclusion: </strong>The application of AI in HF is a global concern in research. Currently, investigations address AI-enhanced HF diagnosis and risk assessment; AI-powered personalized treatment strategies, remote patient monitoring, multi-omics data integration, and HF mechanisms. Predictably, optimizing the use of AI in the ICU and Multimodal data are future trends in research, with AI substantially facilitating effective management of HF.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"2941-2956"},"PeriodicalIF":2.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12124312/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144199359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}