Displaying all 3 publications

Abstract:
Sort:
  1. Efendi D, Apriliyasari RW, Prihartami Massie JGE, Wong CL, Natalia R, Utomo B, et al.
    BMC Nurs, 2023 May 19;22(1):170.
    PMID: 37202768 DOI: 10.1186/s12912-023-01312-x
    BACKGROUND: In the healthcare systems of the world, reinforcing the competence and professionalism of nurses has become a concern. Gaining clinical nursing competence in the healthcare system requires more effort, and additional training is required. Medical education and training have begun using digital technologies, such as virtual reality (VR). The purpose of this research was to examine the efficacy of VR in terms of cognitive, emotional, and psychomotor outcomes and learning satisfaction in nurses.

    METHOD: The study searched eight databases (Cochrane library, EBSCOHost, Embase, OVID MEDLINE, ProQuest, PubMed, Scopus, and Web of Science) for articles that met these criteria: (i) nursing staff, (ii) any virtual reality technology intervention for education, all levels of immersion, [1] randomized control trial and quasi-experiment study, and (iv) published articles and unpublished theses. The standardized mean difference was measured. The random effect model was applied to measure the main outcome of the study with a significance level of p 

  2. Bachtiar E, Bachtiar BM, Kusumaningrum A, Sunarto H, Soeroso Y, Sulijaya B, et al.
    F1000Res, 2023;12:419.
    PMID: 38269064 DOI: 10.12688/f1000research.130995.3
    BACKGROUND: The available evidence suggests that inflammatory responses, in both systemic and oral tissue, contribute to the pathology of COVID-19 disease. Hence, studies of inflammation biomarkers in oral fluids, such as saliva, might be useful to better specify COVID-19 features.

    METHODS: In the current study, we performed quantitative real-time PCR to measure salivary levels of C-reactive protein (CRP) and interleukin-6 (IL-6) in saliva obtained from patients diagnosed with mild COVID-19, in a diabetic group (DG; n = 10) and a non-diabetic group (NDG; n = 13). All participants were diagnosed with periodontitis, while six participants with periodontitis but not diagnosed with COVID-19 were included as controls.

    RESULTS: We found increases in salivary total protein levels in both the DG and NDG compared to control patients. In both groups, salivary CRP and IL-6 levels were comparable. Additionally, the levels of salivary CRP were significantly correlated with total proteins, in which a strong and moderate positive correlation was found between DG and NDG, respectively. A linear positive correlation was also noted in the relationship between salivary IL-6 level and total proteins, but the correlation was not significant. Interestingly, the association between salivary CRP and IL-6 levels was positive. However, a moderately significant correlation was only found in COVID-19 patients with diabetes, through which the association was validated by a receiver operating curve.

    CONCLUSIONS: These finding suggest that salivary CRP and IL-6 are particularly relevant as potential non-invasive biomarker for predicting diabetes risk in mild cases of COVID-19 accompanied with periodontitis.

  3. Bachtiar EW, Bachtiar BM, Kusumaningrum A, Sunarto H, Soeroso Y, Sulijaya B, et al.
    Heliyon, 2024 Jan 30;10(2):e24089.
    PMID: 38293542 DOI: 10.1016/j.heliyon.2024.e24089
    It has been suggested that a corona virus infection is linked to chronic periodontitis (COVID-19). Our objectives were to look at the expression of angiotensin-converting enzyme-2 (ACE2) in periodontal compartments containing periodontal infections to determine if ACE2 is directly or indirectly responsible for the inflammation in periodontal tissues getting worse. In this study, six non-COVID-19 periodontitis patients without diabetes served as controls, and 23 hospitalized periodontitis patients were admitted with PCR-confirmed COVID-19 with diabetes mellitus (Group 1/G1, n = 10), and without diabetes (Group 2/G2, n = 13). We evaluated the mRNA expression of ACE2, IL-6, IL-8, complement C3, and LL-37, as well as the relative proportion of Porphyromonas gingivalis, Fusobacterium nucleatum, and Veillonella parvula to represent the dysbiosis condition in periodontal microenvironment using subgingival plaque and gingival crevicular fluids (GCF) samples and quantitative real time PCR (qPCR). Every analysis was done to ascertain how they related to one another. The area under the curve (AUC) and receiver operating characteristic (ROC) curve were used to determine the sensitivity and specificity of inflammatory indicators. All the grouped patients had ACE2 detected, according to our findings, but only the G1 patients had a positive correlation (p 
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links