23 research outputs found
Association between physical activity and sleep quality among healthcare students
ObjectiveTo assess the relationship between physical activity (PA) and sleep quality (SQ) in Mohammed Bin Rashid University (MBRU) students in Dubai, United Arab Emirates. Taking into account this being one of the first studies exploring this aspect among healthcare students in the Gulf Cooperation Council (GCC) countries.MethodsThis is an analytical cross-sectional study that involved disseminating online surveys via email to students of all 5 colleges in MBRU between March-June 2023. The survey encompassed queries on demographics, the Saltin-Grimby Physical Activity Level Scale (SGPALS), the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and the Pittsburgh Sleep Quality Index (PSQI).ResultsThe survey was completed by 105 students. Most students were from the medical college (98/105; 93.3%) and were females (84/105; 80.0%). Females engaged the most in low PA (44.0%) while males engaged the most in high PA (42.9%) according to the IPAQ-SF. There was a significant association between SGPALS and gender (p = 0.007, X2 = 12.0). The global PSQI score showed that 70.5% of the students had bad-quality sleep. Sleep efficiency and leisurely PA are significantly negatively correlated (p = 0.026, ρ = −0.217) while sitting minutes and sleep duration are significantly positively correlated (p = 0.030, r = 0.212).ConclusionSignificant negative correlations between sleep efficiency and leisurely PA demonstrate that while exercise has been implicated in the improvement of SQ, excessive exercise can behave as an additional stressor and induce negative changes in the SQ of healthcare students. Meanwhile, significant positive correlations between sleep duration and sitting indicate that adequate rest should not be undervalued in its effects on sleep. Furthermore, the findings of this study highlight public health implications that warrant attention by educators and policymakers in academic health systems
Subcutaneous Phaeohyphomycosis Cyst Associated with Medicopsis romeroi in an Immunocompromised Host
Expression analysis of miRNAs and their targets related to salt stress in Solanum lycopersicum
Subcutaneous Phaeohyphomycosis Cyst Associated with Medicopsis romeroi in an Immunocompromised Host
An 88-year-old man, receiving prednisolone for sarcoidosis, presented with a discrete keratotic lesion on the dorsum of his right hand following the placement of an intravenous cannula a month prior to its appearance. Medicopsis romeroi was isolated from the tissue and identified by sequencing the internal transcribed spacer region ITS-1 and the D1-2 fragment of the 28S rDNA gene. Histopathological examination showed fungal hyphae in the internal inflammatory cells layer and within the histocyte-macrophage layer, highly suggestive of deep mycosis. The patient was successfully treated with surgical excision of the cyst. M. romeroi exhibited high MIC values for echinocandin drugs in vitro, but appeared susceptible to newer triazole agents, amphotericin B and terbinafine. This is the first report of a subcutaneous phaeohyphomycotic cyst occurring following the placement of an intravenous cannula. This report highlights the potential role of M. romeroi as an emerging cause of deep, non-mycetomatous infection in immunocompromised patients
An Algorithm for Simulating Power/Ground Networks Using Padé Approximants and its Symbolic Implementation
This paper presents an event-driven algorithm and its symbolic implementation for the analysis of power and ground bus networks. The algorithm uses frequency domain techniques and moment matching approaches based on Pad#e approximants to estimate the transfer function at each node in the P#G network. Afterwards, the transientwaveforms are extracted for each node
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Characteristics and Outcomes of Individuals With Pre-existing Kidney Disease and COVID-19 Admitted to Intensive Care Units in the United States
Underlying kidney disease is an emerging risk factor for more severe coronavirus disease 2019 (COVID-19) illness. We examined the clinical courses of critically ill COVID-19 patients with and without pre-existing chronic kidney disease (CKD) and investigated the association between the degree of underlying kidney disease and in-hospital outcomes.
Retrospective cohort study.
4,264 critically ill patients with COVID-19 (143 patients with pre-existing kidney failure receiving maintenance dialysis; 521 patients with pre-existing non-dialysis-dependent CKD; and 3,600 patients without pre-existing CKD) admitted to intensive care units (ICUs) at 68 hospitals across the United States.
Presence (vs absence) of pre-existing kidney disease.
In-hospital mortality (primary); respiratory failure, shock, ventricular arrhythmia/cardiac arrest, thromboembolic events, major bleeds, and acute liver injury (secondary).
We used standardized differences to compare patient characteristics (values>0.10 indicate a meaningful difference between groups) and multivariable-adjusted Fine and Gray survival models to examine outcome associations.
Dialysis patients had a shorter time from symptom onset to ICU admission compared to other groups (median of 4 [IQR, 2-9] days for maintenance dialysis patients; 7 [IQR, 3-10] days for non-dialysis-dependent CKD patients; and 7 [IQR, 4-10] days for patients without pre-existing CKD). More dialysis patients (25%) reported altered mental status than those with non-dialysis-dependent CKD (20%; standardized difference=0.12) and those without pre-existing CKD (12%; standardized difference=0.36). Half of dialysis and non-dialysis-dependent CKD patients died within 28 days of ICU admission versus 35% of patients without pre-existing CKD. Compared to patients without pre-existing CKD, dialysis patients had higher risk for 28-day in-hospital death (adjusted HR, 1.41 [95% CI, 1.09-1.81]), while patients with non-dialysis-dependent CKD had an intermediate risk (adjusted HR, 1.25 [95% CI, 1.08-1.44]).
Potential residual confounding.
Findings highlight the high mortality of individuals with underlying kidney disease and severe COVID-19, underscoring the importance of identifying safe and effective COVID-19 therapies in this vulnerable population