Articles: intensive-care-units.
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Despite the existence of evidence-based guidelines for the assessment and management of pain in the critical care setting, the prevalence of acute pain remains high. Inadequate pain management is associated with longer duration of mechanical ventilation, reduced capacity for rehabilitation and long-term psychological sequelae. This study aimed to describe the experiences of pain management from healthcare professionals working in intensive care units. ⋯ Fourth, participants described their own emotional reaction to managing those in pain which influenced their learning. Finally, there was a perception that, due to the complexity of the intensive care unit population, pain was de-prioritised and there were conflicting views as to whether standardised analgosedation algorithms were useful. This study provides evidence to suggest interdisciplinary training, collaboratively designed decision-making tools, prioritisation initiatives and research priorities are areas that could be targeted to improve pain management in critical care.
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The delayed diagnosis of invasive fungal infection (IFI) is highly correlated with poor prognosis in patients. Early identification of high-risk patients with invasive fungal infections and timely implementation of targeted measures is beneficial for patients. The objective of this study was to develop a machine learning-based predictive model for invasive fungal infection in patients during their intensive care unit (ICU) stay. ⋯ Importance: Invasive fungal infections are characterized by high incidence and high mortality rates characteristics. In this study, we developed a clinical prediction model for invasive fungal infections in critically ill patients based on machine learning algorithms. The results show that the machine learning model based on 20 clinical features has good predictive value.
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J Coll Physicians Surg Pak · Jun 2024
Multisystem Inflammatory Syndrome in Neonates Associated with COVID-19 in Neonatal ICU of a Tertiary Care Hospital.
Neonatal multisystem inflammatory syndrome (MIS-N) is a unique disease of neonates described in several case reports from all over the world with a myriad of presentations and the emergence of new cases. ⋯ Neonatal multisystem inflammatory syndrome (MIS-N), Multisystem inflammatory syndrome in children (MIS-C), SARS-CoV2 infection, SARS-CoV2 spike protein, SARS-CoV2 IgG antibodies.