RESUMEN
Urine-derived stem cells (USCs) have gained the attention of researchers in the biomedical field in the past few years . Regarding the several varieties of cells that have been used for this purpose, USCs have demonstrated mesenchymal stem cell-like properties, such as differentiation and immunomodulation. Furthermore, they could be differentiated into several lineages. This is very interesting for regenerative techniques based on cell therapy. This review will embark on describing their separation, and profiling. We will specifically describe the USCs characteristics, in addition to their differentiation potential. Then, we will introduce and explore the primary uses of USCs. These involve thier utilization as a platform to produce stem cells, however, we shall concentrate on the utilization of USCs for therapeutic, and regenerative orofacial applications, providing an in-depth evaluation of this purpose. The final portion will address the limitations and challenges of their implementation in regenerative dentistry.
RESUMEN
Seeking an alternative approach for detecting adverse drug reactions (ADRs) in coronavirus patients (COVID-19) and enhancing drug safety, a retrospective study of six months was conducted utilizing an electronic medical record (EMR) database to detect ADRs in hospitalized patients for COVID-19, using "ADR prompt indicators" (APIs). Consequently, confirmed ADRs were subjected to multifaceted analyses, such as demographic attribution, relationship with specific drugs and implication for organs and systems of the body, incidence rate, type, severity, and preventability of ADR. The incidence rate of ADRs is 37%, the predisposition of organs and systems to ADR is observed remarkably in the hepatobiliary and gastrointestinal systems at 41.8% vs. 36.2%, p < 0.0001, and the classes of drugs implicated in the ADRs are lopinavir-ritonavir 16.3%, antibiotics 24.1%, and hydroxychloroquine12.8%. Furthermore, the duration of hospitalization and polypharmacy are significantly higher in patients with ADRs at 14.13 ± 7.87 versus 9.55 ± 7.90, p < 0.001, and 9.74 ± 5.51 versus 6.98 ± 4.36, p < 0.0001, respectively. Comorbidities are detected in 42.5% of patients and 75.2%, of patients with DM, and HTN, displaying significant ADRs, p-value < 0.05. This is a symbolic study providing a comprehensive acquaintance of the importance of APIs in detecting hospitalized ADRs, revealing increased detection rates and robust assertive values with insignificant costs, incorporating the hospital EMR database, and enhancing transparency and time effectiveness.
RESUMEN
Since its discovery in December 2019, coronavirus disease 2019 (COVID-19) has been affecting humanity in economic, social, physical, and psychological manner. During COVID-19, the older population needs special consideration since they have a greater risk of developing serious illnesses. We used a narrative review approach to identify the relevant articles. PubMed, Scopus, and Google Scholar databases were searched for the following keywords: (mental health OR mental illness(es) OR anxiety OR depression OR irritability) AND (elderly OR older people OR aged 60 years or more) AND (Covid-19 OR pandemic OR chronic diseases) AND (mitigate OR manage). In the initial search, we found 948 articles related to our search string, and only 33 studies were included in this narrative review. The results demonstrated that the elderly population is more prone to mental health issues associated with COVID-19. This narrative review also reported that loneliness, stress, depression, anxiety, sleep disturbance, and suicidal ideation symptoms are experienced by the elderly during the pandemic. Our results also demonstrate that interventions, such as community activities through social interactions, and the use of digital technologies could improve the quality of life of older people and help in the mitigation and management of the adverse effects of COVID-19.