Notes

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There is a growing interest in neonatologists to train in echocardiography. Recommendations for training have been published by medical societies and working groups, but concerns exist on their feasibility in the face of limited resources. Simulators are increasingly used for training in medicine, including echocardiography. They have the potential to help overcome the shortage of training opportunities. We describe the currently available 2 echocardiography simulators designed for neonatology. Both systems are based on real 3-dimensional echocardiographic data and use an electromagnetic tracking system. Although limited data exist proving their effectiveness, deduction from other disciplines support this assumption.Blood pressure (BP) is routinely measured in newborn infants. Published BP nomograms demonstrate a rise in BP following delivery in healthy infants at all gestational ages (GA) and evidence that BP values are higher with increasing birth weight and GA. However, the complex physiology that occurs in newborn infants and range of BP values observed at all GA make it difficult to identify "normal" BP for a specific infant at a specific time under specific conditions. As such, complete hemodynamic assessment should include the physical examination, perinatal history, other vital signs, and laboratory values in addition to BP values.Cerebrovascular autoregulation is the ability to maintain stable cerebral blood flow within a range of cerebral perfusion pressures. When cerebral perfusion pressure is outside the limits of effective autoregulation, the brain is subjected to hypoperfusion or hyperperfusion, which may cause vascular injury, hemorrhage, and/or hypoxic white matter injury. Infants born preterm, after fetal growth restriction, with congenital heart disease, or with hypoxic-ischemic encephalopathy are susceptible to a failure of cerebral autoregulation. Bedside assessment of cerebrovascular autoregulation would offer the opportunity to prevent brain injury. Clinicians need to know which patient populations and circumstances are associated with impaired/absent cerebral autoregulation.Hemodynamic support in neonatal intensive care is directed at maintaining cardiovascular wellbeing. At present, monitoring of vital signs plays an essential role in augmenting care in a reactive manner. By applying machine learning techniques, a model can be trained to learn patterns in time series data, allowing the detection of adverse outcomes before they become clinically apparent. In this review we provide an overview of the different machine learning techniques that have been used to develop models in hemodynamic care for newborn infants. We focus on their potential benefits, research pitfalls, and challenges related to their implementation in clinical care.Clinical assessment of cardiac output by interpretation of indirect parameters has proven to be inaccurate, irrespective of the level of experience of the clinician. Objective cardiac output monitoring is feasible in newborn infants in intensive care. The most promising methods include transthoracic echocardiography, transcutaneous Doppler, electrical biosensing technologies, transpulmonary ultrasound dilution, and arterial pulse contour analysis. Simultaneous assessment of blood pressure and cardiac output enables the identification of the earliest stage of shock. Comprehensive hemodynamic monitoring is pivotal for an individualized pathophysiology-based hemodynamic management.
Medium and long-term trials comparing continuous positive airway pressure (CPAP) with noninvasive ventilation in patients with obesity hypoventilation syndrome have shown no differences in outcomes. However, it remains unclear whether CPAP therapy should be prescribed if significant hypoxemia persists during CPAP titration, despite optimization of upper airway obstructive events or if maximum CPAP pressure is reached. We aimed to examine the effects of 6 weeks of home CPAP therapy on gas exchange in patients with obesity hypoventilation syndrome who failed CPAP titration due to persistent hypoxemia.

This case series is a substudy of a randomized-controlled trial evaluating efficacy of 3 different PAP modalities in obesity hypoventilation syndrome. selleck chemicals Patients randomized to CPAP who failed titration and were prescribed CPAP are included. CPAP failure was defined as spending more than 20% of total sleep time with oxygen saturation below 90% despite adequate resolution of apneas and hypopneas. Follow-up data ininicaltrials.gov/ct2/show/NCT01368614; Identifier NCT01368614.
Social relationships are an understudied factor affecting insomnia. In particular, these effects have not been evaluated in the context of sex differences. In this study, we investigated differences between sexes with regard to the association between insomnia symptoms and social relationships.

We used data from 2681 middle-aged adults (aged 40-64 years; females, 68.8%) from the Cardiovascular and Metabolic Diseases Etiology Research Center project. Insomnia symptoms were defined as difficulty with sleep induction or maintenance ≥3 nights per week. We assessed social network size and bridging potentials as indicators of social relationships. Social network size is a quantitative measure of the size of social relationships, and bridging potential is a qualitative indicator of the diversity and independence of these relationships. Multivariate regression analysis controlling for confounding factors was performed to evaluate associations between social relationships and insomnia symptoms.

Smaller social nese results suggest that qualitative assessments of social relationship variables should be considered in clinical practice, since these variables can be interpreted differently for men and women.
Biological hazards are one of the most important and common types of hazards in emergencies and disasters. Hospital preparedness measures for biological hazards are essential for a proper response and mitigation of its effects. The aim of this systematic review is to investigate hospital preparedness measures for biological hazards.

For this research, electronic databases including Web of Science, PubMed, ScienceDirect, Scopus, ProQuest, Google Scholar, and Cochrane Library from March 1950 to June 2019 were searched. Key words such as hospital, emergency department, preparedness, plan, management, and biological hazards were used in combination with the Boolean operators OR and AND. A thematic synthesis approach through the use of MAXQDA software was applied to analyze the data.

In total, 5257 articles were identified, in which 23 articles meet the inclusion criteria for entering the process of final analysis. The findings showed three main administrative, specialized, and logistical issues regarding preparedness measures for biological hazards in hospitals.
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