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Results 181-190 of 2278 (Search time: 0.005 seconds).

Intensive care drug therapy and its potential adverse effects on blood pressure and heart rate in critically ill children

Authors: Lisa Marie, Kiesel; Astrid, Bertsche; Wieland, Kiess; Advisor: -; Co-Author: - (2023)

Owing to complex treatment, critically ill children may experience alterations in their vital parameters. We investigated whether such hemodynamic alterations were temporally and causally related to drug therapy.

Influence of opioid analgesia type on circulating tumor cells in open colorectal cancer surgery (POACC-1): study protocol for a prospective randomized multicenter controlled trial

Authors: Emil, Berta; Josef, Srovnal; Petr, Dytrych; Advisor: -; Co-Author: - (2023)

Opioids and epidural analgesia are a mainstay of perioperative analgesia but their influence on cancer recurrence remains unclear. Based on retrospective data, we found that cancer recurrence following colorectal cancer surgery correlates with the number of circulating tumor cells (CTCs) in the early postoperative period. Also, morphine- but not piritramide-based postoperative analgesia increases the presence of CTCs and shortens cancer-specific survival. The influence of epidural analgesia on CTCs has not been studied yet.

Incidence of near-death experiences in patients surviving a prolonged critical illness and their long-term impact: a prospective observational study

Authors: Anne-Françoise, Rousseau; Laurence, Dams; Quentin, Massart; Advisor: -; Co-Author: - (2023)

So far, the few prospective studies on near-death experience (NDE) were carried out only in intensive care unit (ICU) patients with homogeneous aetiologies, such as cardiac arrest or trauma survivors. The aims of this 1-year prospective and monocentric study were to investigate the incidence of NDE in ICU survivors (all aetiologies) as well as factors that may affect its frequency, and to assess quality of life up to 1 year after enrolment.

Can artificial intelligence help for scientific writing?

Authors: Michele, Salvagno; Fabio Silvio, Taccone; Advisor: -; Co-Author: - (2023)

This paper discusses the use of Artificial Intelligence Chatbot in scientific writing. ChatGPT is a type of chatbot, developed by OpenAI, that uses the Generative Pre-trained Transformer (GPT) language model to understand and respond to natural language inputs. AI chatbot and ChatGPT in particular appear to be useful tools in scientific writing, assisting researchers and scientists in organizing material, generating an initial draft and/or in proofreading. There is no publication in the field of critical care medicine prepared using this approach; however, this will be a possibility in the next future.

Lung cancer in the emergency department

Authors: Jeremy R., Walder; Saadia A., Faiz; Marcelo, Sandoval; Advisor: -; Co-Author: - (2023)

Though decreasing in incidence and mortality in the USA, lung cancer remains the deadliest of all cancers. For a significant number of patients, the emergency department (ED) provides the first pivotal step in lung cancer prevention, diagnosis, and management. As screening recommendations and treatments advance, ED providers must stay up-to-date with the latest lung cancer recommendations. The purpose of this review is to identify the many ways that emergency providers may intersect with the disease spectrum of lung cancer and provide an updated array of knowledge regarding detection, management, complications, and interdisciplinary care.

Extracorporeal cardiopulmonary resuscitation for adult out-of-hospital cardiac arrest patients: time-dependent propensity score-sequential matching analysis from a nationwide population-based registry

Authors: Yeongho, Choi; Jeong Ho, Park; Joo, Jeong; Advisor: -; Co-Author: - (2023)

There is inconclusive evidence regarding the effectiveness of extracorporeal cardiopulmonary resuscitation (ECPR) for out-of-hospital cardiac arrest (OHCA) patients. We aimed to evaluate the association between ECPR and neurologic recovery in OHCA patients using time-dependent propensity score matching analysis.

Association of early mobility with the incidence of deep-vein thrombosis and mortality among critically ill patients a post hoc analysis of PREVENT trial

Authors: Hasan M., Al-Dorzi; Samah, AlQahtani; Abdulaziz, Al-Dawood; Advisor: -; Co-Author: - (2023)

Association of early mobility with the incidence of deep-vein thrombosis and mortality among critically ill patients: a post hoc analysis of PREVENT trial

Improving vasopressor use in cardiac arrest

Authors: Gavin D., Perkins; Keith, Couper; Advisor: -; Co-Author: - (2023)

The Chain of Survival highlights the effectiveness of early recognition of cardiac arrest and call for help, early cardiopulmonary resuscitation and early defibrillation. Most patients, however, remain in cardiac arrest despite these interventions. Drug treatments, particularly the use of vasopressors, have been included in resuscitation algorithms since their inception.

Outcomes in participants with ventilated nosocomial pneumonia and organ failure treated with ceftolozane/tazobactam versus meropenem: a subset analysis of the phase 3, randomized, controlled ASPECT-NP trial

Authors: Ignacio, Martin-Loeches; Andrew F., Shorr; Richard G., Wunderink; Advisor: -; Co-Author: - (2023)

The pivotal ASPECT-NP trial showed ceftolozane/tazobactam was non-inferior to meropenem for the treatment of ventilated hospital-acquired/ventilator-associated bacterial pneumonia (vHABP/VABP). Here, we evaluated treatment outcomes by degree of respiratory or cardiovascular dysfunction.

Classification of Level of Consciousness in a Neurological ICU Using Physiological Data

Authors: Louis A., Gomez; Qi, Shen; Kevin, Doyle; Advisor: -; Co-Author: - (2023)

Impaired consciousness is common in intensive care unit (ICU) patients, and an individual’s degree of consciousness is crucial to determining their care and prognosis. However, there are no methods that continuously monitor consciousness and alert clinicians to changes. We investigated the use of physiological signals collected in the ICU to classify levels of consciousness in critically ill patients.