View clinical trials related to Critical Illness.
Filter by:This study aims to determine the ways in which clinician implicit racial biases affect clinician communication with family members of patients near the end of life and to test a novel physician training intervention to reduce the effects of implicit racial bias on quality of communication. Phase 1: A sample of 50 physicians who care for seriously ill patients, including oncologists, critical care physicians and hospital-based internists will participated in a simulated clinical encounter with a Black standardized family member (actor) of a hypothetical case patient. Measures of implicit and explicit bias will be correlated with verbal and nonverbal communication behavior. Phase 2: This is a 2-arm randomized feasibility pilot of an intervention to mitigate the effects of clinician implicit bias on communication behavior. Physicians who treat patients with serious illness including oncologists, critical care physicians and hospital-based internists will be recruited to participate in a communication training session to reduce the effects of implicit bias or a control training session focusing only on communication skills. Their communication behavior will be videotaped during a simulated encounter with a Black standardized family member (actor) of a hypothetical patient with serious illness before and after the training sessions. The communication behavior before and after the training session will be compared between physicians that received the communication skills only intervention versus the physicians that received the communication skills and bias mitigation training. The primary hypothesis is that physicians who receive both the communication skills and the bias mitigation training will have greater improvements in communication skills with the Black standardized caregiver (actor) compared with those who receive only the communication skills training.
Myocardial strain analysis has emerged in the last decade as a reliable tool for studying myocardial mechanics, adding information on cardiac performance when compared with traditional parameters of left ventricle (LV) systolic function, such as ejection fraction (EF). However, their relative load dependency makes the myocardial deformation indices unable to account for changes in pre- and afterload. Myocardial work (MW) is emerging as an alternative tool for studying LV myocardial systolic function, because it incorporates both deformation and load into its analysis. The purpose of this observational trial is to validate the use of MW in septic shock patients by means of consecutive echocardiographic assessment at predefined timepoints. Secondarily, we'll evaluate the impact of the vasoactive drugs used in septic shock patients (vasopressors and inotropes) on MW and on ventriculo-arterial coupling.
Do very elderly adults wish intensive care in the event of acute life-threatening illness and are their next of kin able to predict these preferences? Very elderly patients are a steeply increasing patient population in intensive care units (ICUs), but the overall benefit of intensive care for these patients remains controversial. Will ICU admission improve survival and quality of life, or will it prolong suffering and delay natural death? Little is known about very elderly Norwegians life sustaining treatment (LST) preferences in these situations where treatment benefit is uncertain. This project aims to improve critically ill very elderly patients' ICU trajectories by bringing forth knowledge about their treatment preferences, their family members' ability to predict these preferences, and by directing attention to the challenges of consent to critical care in cases of medical uncertainty. A selv administered, mailed survey will be distributed among 400 outpatients aged 80 years or older and their next of kin. Respondents will be recruited at the ophthalmologic, ear-nose-and-throat and orthopaedic outpatient clinics at Haukeland University Hospital Bergen, Norway. The investigators developed and validated a survey tool for this purpose, containing 3 hypothetical scenarios of acute life-threatening illness. The scenarios are randomly chosen from 20 hypothetical patient histories and are representative for ICU admission diagnoses in Norway and Europe. The participants will be asked for treatment choices, i.e. wishing admission to intensive care or not. A response option 'not wishing to engage in the treatment decision' is also provided. Furthermore, the questionnaire includes factors that may influence elderlies' treatment preferences and proxies' ability to predict these preferences including: demographics, religion, previous experience with and / or communication about critical illness, comorbidity, frailty, quality of life, and projections (i.e. the proxy's own treatment preferences). The respondents are requested to explain their choices by free-text comments after each scenario. They are also asked to elaborate how they wish next-of-kin should contribute to decision making in these cases. Additional space for free-text comments is provided in the end of the questionnaire. The study design is exploratory. Responses will be analysed with both quantitative statistics and qualitative methods.
Racial disparities result in Black infants in the neonatal intensive care unit (NICU) receiving less breast milk (BM) than White and Hispanic infants.1 BM improves infant health yet mothers of critically ill infants produce insufficient amounts to provide these benefits which is likely due to inadequate daily breast pumping frequency. Black mothers face unique challenges to frequent breast pumping including returning to work earlier, working in facilities with inadequate lactation support, and limited privacy for breast pumping at home. Therefore, the objective of this pilot study is to determine the feasibility and potential benefits of using a discreet, hands-free, wearable breast pump with an associated App that tracks pumping frequency and BM production to increase lactation success in Black mothers of infants admitted to the NICU. Specific aims include (1) evaluate the feasibility of a discreet, hands-free, wearable pump in Black mothers of critically ill infants to increase pumping frequency and BM production and (2) assess whether results indicate a signal of effectiveness supporting a subsequent adequately powered randomized clinical trial (RCT). Following delivery, 40 Black mothers of critically ill infants will be randomized to one of two groups. Group 1 will be provided a discreet, hands-free, wearable breast pump with an associated App and Group 2 will be provided a standard mechanical breast pump with no associated App. Results will be used to revise the intervention and study processes and to estimate outcome measurement variability and effect sizes needed for sample size calculations for an adequately powered RCT.
This study is an open-label, multiple-dose pharmacokinetic study of imipenem-relebactam conducted in 12 non-infected, obese ICU patients.
Ventilator-induced lung injury is associated with increased morbidity and mortality. Despite intense efforts in basic and clinical research, an individualized ventilation strategy for critically ill patients remains a major challenge. However, an individualized mechanical ventilation approach remains a challenging task: A multitude of factors, e.g., lab values, vitals, comorbidities, disease progression, and other clinical data must be taken into consideration when choosing a patient's specific optimal ventilation regime. The aim of this work was to evaluate the machine learning ventilator decision system, which is able to suggest a dynamically optimized mechanical ventilation regime for critically-ill patients. Compare with standard controlled ventilation, to test whether the clinical application of the machine learning ventilator decision system reduces mechanical ventilation time and mortality.
Esophageal atresia is a rare but severe malformation, and it requires early surgery. Coloesophagoplasty is surgical repair of the esophageal with an isoperistaltic transverse colon graft. In the postoperative period after coloesophagoplasty children require careful monitoring of fluid balance, because clinically significant fluid overload can lead to dysfunction of various organs and systems.
Important information related to the visual assessment of patients, such as facial expressions, head and extremity movements, posture, and mobility are captured sporadically by overburdened nurses, or are not captured at all. Consequently, these important visual cues, although associated with critical indices such as physical functioning, pain, delirious state, and impending clinical deterioration, often cannot be incorporated into clinical status. The overall objectives of this project are to sense, quantify, and communicate patients' clinical conditions in an autonomous and precise manner, and develop a pervasive intelligent sensing system that combines deep learning algorithms with continuous data from inertial, color, and depth image sensors for autonomous visual assessment of critically ill patients. The central hypothesis is that deep learning models will be superior to existing acuity clinical scores by predicting acuity in a dynamic, precise, and interpretable manner, using autonomous assessment of pain, emotional distress, and physical function, together with clinical and physiologic data.
The metabolic alterations associated with critical illness have significant implications for the nutritional management of ICU patients. Despite this, little is known about these changes in patients requiring prolonged organ support and nutritional therapy. The overall aim of this study is to describe changes in metabolism over time in a large prospective cohort of patients requiring >10 days of ICU care. Our hypothesis is that there is a significant change in mean energy expenditure and respiratory quotient (RQ) between the early (day 1-3), intermediate (day 4-10) and late (>10 days) phase in ICU.
A Comparison between CRP, ferritin, and serum zinc as early diagnostic biomarkers of sepsis in critically ill patients