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Objective Chronic periodontitis has been proposed to be linked to coronavirus disease (COVID-19) on the basis of itsinflammation mechanism. We aimed to evaluate this association by investigating the expression of Angiotensin Converting Enzyme-2 (ACE2) in periodontal compartments, which contain dysbiosis-associated pathogenic bacteria, and how it can be directly or indirectly involved in exacerbating inflammation in periodontal tissue. Material and Methods This observational clinical study included 23 adult hospitalized patients admitted to Universitas Indonesia Hospital with PCR-confirmed COVID-19, while 6 non-COVID-19 participants come to periodontal clinic were included as control. Using real time-PCR (qPCR) and gingival crevicular fluids (GCF) samples from COVID-19 patients with and without diabetes and periodontitis, we assessed the mRNA expression of angiotensin-converting enzyme 2 (ACE2), IL-6, IL8, complement C3, and LL37 as well as the relative proportion of Porphyromonas gingivalis , Fusobacterium nucleatum , and Veillonella parvula to represent the dysbiosis condition in periodontal microenvironment. All analyses were performed to determine their relationship. Results ACE2 mRNA expression was detected in the GCF of periodontitis-COVID-19 patients with and without diabetes. However, only periodontitis-COVID-19 patients with diabetes showed a positive relationship between ACE2 expression and inflammatory conditions in the periodontal microenvironment. In addition, the interplay between pro-inflammatory cytokine (Il-6) and complement C3 could be used as a predictor of the severity of periodontal inflammation in COVID-19 patients with diabetes. Conclusion The study data show that the SARS-CoV-2 entry gene is expressed in the GCF of patients with COVID-19, and its expression correlates with inflammatory markers.

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AbstrakDominasi penyakit pada anak di Indonesia mulai bergeser dari penyakit akut menjadi penyakit kronis. Perawatan jarak jauh (home hospital) merupakan tren pada anak dengan penyakit kronis yang membutuhkan perawatan kontinu dalam waktu yang lama. Artikel ini bertujuan untuk menggali potensi penerapan sistem mobile-health di Indonesia. Telaah literatur dari artikel ini didapatkan dari PubMed, CINAHL, dan Medline sejak tahun [2004][2005][2006][2007][2008][2009][2010][2011][2012][2013][2014]. Mobile-health merupakan aplikasi yang menawarkan integrasi berbagai fungsi perawatan melalui penggunaan telepon pintar. Beberapa negara percontohan seperti Amerika Serikat, Swedia, dan Jepang telah membuktikan kontribusi mobilehealth dalam meningkatkan kualitas pelayanan. Indonesia sejauh ini belum melakukan pengembangan mobile -health di berbagai layanan kesehatan. Penggunaan telepon pintar di Indonesia telah meluas untuk berbagai tujuan, sehingga aplikasi mobile -health untuk pelayanan keperawatan anak sangat mungkin dan mudah diterapkan. Perawat anak di Indonesia hendaknya mulai mengambil inisiatif untuk mengenali aplikasi program, melakukan riset, dan kolaborasi dengan beberapa profesi terkait agar dapat berkontribusi terhadap perbaikan pelayanan kesehatan di masa yang akan datang.

Background The hospitalization of children during the COVID-19 pandemic has affected their physical and mental health. Pediatric nurses have faced challenges in providing high-quality nursing care for children and their families. However, the pediatric nursing care recommendations for COVID-19 patients in the hospital setting remain unclear. The current scoping review provides recommendations for nursing interventions for pediatric COVID-19 patients in the hospital setting. Methods and findings The selected articles containing management and nursing recommendations for COVID-19 that have occurred in pediatric patients ages 0–19 years old. A search strategy was developed and implemented in seven databases. We included peer-reviewed articles that reported observational or interventional studies, as well as policy papers, guides or guidelines, letters and editorials, and web articles. A total of 134 articles and other documents relevant to this review were included. We categorized the results based on The Nursing Intervention Classification (NIC) taxonomy which consists of six domains (e.g., Physiological: Basic); eleven classes (e.g., Nutrition Support); and eighteen intervention themes (e.g., Positioning, Family Presence Facilitation, Family Support, and Discharge Planning). Conclusion Apart from the intervention of physical problems, there is a need to promote patient- and family-centered care, play therapy, and discharge planning to help children and families cope with their new situation.

Background: A relationship between oral microbiota and susceptibility to SARS-CoV-2 infection has been extensively studied. However, the relationship between oral commensal flora and expression of angiotensin-converting enzyme 2 (ACE2) remains to be established. In this observational study, we collected saliva from patients with COVID-19 and evaluated the relationship between ACE2 expression and Candida albicans as well as with selected gram-negative bacteria (Aggregatibacter actinomycetemcomitans, Fusobacterium nucleatum, and Veillonella parvula). We investigated how this may be directly or indirectly involved in oral dysbiosis in patients with COVID-19. Methods: We included 23 hospitalized patients admitted to Universitas Indonesia Hospital with PCR-confirmed COVID-19, with six healthy participants serving as controls. Saliva and tongue surface swabs were collected from patients with diabetes (DG) and without diabetes (NDG) and subject controls. Using quantitative PCR (qPCR) we assessed the mRNA expression of ACE2, the abundance of C. albicans, and the transcription levels of its biofilm-associated genes, agglutinin-like protein 3 (ALS3), hyphal wall protein 1 (HWP1), and yeast-form wall protein 1 (YWP1). We also counted the relative proportion of the three selected gram-negative oral bacteria in saliva. All analyses were performed to determine the relationship between ACE2 expression and C. albicans and gram-negative bacteria. Results: ACE2 mRNA expression was significantly higher in tongue swab samples than in saliva. However, no significant difference was observed between the patient groups. Conversely, DG patients had a significantly higher abundance of C. albicans in saliva compared to NDG patients and control group patients. The correlation and sensitivity/specificity relationship between ACE2 expression and C. albicans or the selected oral bacteria were also observed. Conclusions: The data show that ACE2 expression can be detected in saliva of patients with COVID-19 and its association with C. albicans and gram-negative oral bacteria might contribute toward developing an oral dysbiosis based predictor for prognosis of COVID-19 severity.