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  1. Hace 2 días · Approximately 45% to 82% of ICU patients have some degree of pain, according to Kathleen A. Puntillo, RN, DNSc, [1] of San Francisco, California. [2,3] If pain is not anticipated in these patients, it will continue to be under-recognized. Accordingly, it is critical that clinicians initially consider analgesia vs true sedation in the ...

  2. 6 de may. de 2024 · Hearing, seeing, smelling, or feeling things that are not real (hallucinations) Trouble paying attention, talking, and thinking. Feeling lazy or sleepy, or trouble staying asleep through the night. Not caring about what happens around you, or not wanting to eat. Slow to think, move, or respond to people.

  3. en.wikipedia.org › wiki › DeliriumDelirium - Wikipedia

    Hace 2 días · Delirium (formerly acute confusional state, an ambiguous term that is now discouraged [1]) is a specific state of acute confusion attributable to the direct physiological consequence of a medical condition, effects of a psychoactive substance, or multiple causes, which usually develops over the course of hours to days.

  4. 8 de may. de 2024 · In our recent Philosophy, Psychiatry, & Psychology article, “Making up Monsters, Redirecting Blame: An Examination of Excited Delirium,” we explore why the controversial diagnosis of "excited delirium" sticks around and what work it is doing in the world. Despite increasing calls to recognize the diagnosis as invalid and problematic, it ...

  5. 8 de may. de 2024 · Delerium - Syrophenikan (2LP), 2022, Limited Edition "Syrophenikan" - третий студийный альбом канадской эмбиент/электронной музыкальной группы Delerium 1990 года.... | Вступай в группу Мастер Грэм - всё про винил в ...

  6. Hace 6 días · Delirium is a serious medical condition characterized by acute disturbance in mental and cognitive function, often including confused thinking, reduced awareness of the environment, behavioral dysregulation, and heightened agitation.

  7. Hace 1 día · An intensivist at Johns Hopkins Medicine, in collaboration with Johns Hopkins University engineering students, report they have developed artificial intelligence (AI) algorithms that can detect the early warning signs of delirium and can predict — at any time during an ICU stay — a high risk of delirium for a significant number of patients.