Admission of the very elderly to the intensive care unit: Family members’ perspectives on clinical decision-making from a multicenter cohort study

2015 ◽  
Vol 29 (4) ◽  
pp. 324-335 ◽  
Author(s):  
Daren K Heyland ◽  
Peter Dodek ◽  
Sangeeta Mehta ◽  
Deborah Cook ◽  
Allan Garland ◽  
...  

Background: Little is known about the perspectives and experiences of family members of very elderly patients who are admitted to the intensive care unit. Aim: To describe family members’ perspectives about care provided to very elderly critically ill patients. Design: Multicenter, prospective, cohort study. Participants and setting: In total, 535 family members of patients aged 80 years or older admitted to 22 intensive care units for more than 24 h. Results: Family members reported that the “patient be comfortable and suffer as little as possible” was their most important value and “the belief that life should be preserved at all costs” was their least important value considered in making treatment decisions. Most family members (57.9%) preferred that life support be used for their family member, whereas 24.1% preferred comfort measures only, and 14.4% were unsure of their treatment preferences. Only 57.3% reported that a doctor had talked to them about treatment options for the patient. Overall, 29.7% of patients received life-sustaining treatments for more than 7 days and 50.3% of these died in hospital. Families were most satisfied with the skill and competency of nurses and least satisfied with being included and supported in the decision-making process and with their sense of control over the patient’s care. Conclusion: There is incongruity between family values and preferences for end-of-life care and actual care received for very elderly patients who are admitted to the intensive care unit. Deficiencies in communication and decision-making may be associated with prolonged use of life-sustaining treatments in very elderly critically ill patients, many of whom ultimately die.

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Roberto Carlos Miranda-Ackerman ◽  
Mariana Lira-Trujillo ◽  
Alma Carolina Gollaz-Cervantez ◽  
Ana Olivia Cortés-Flores ◽  
Carlos José Zuloaga-Fernández del Valle ◽  
...  

Author(s):  
Charles Chin Han Lew ◽  
Gabriel Jun Yung Wong ◽  
Ka Po Cheung ◽  
Ai Ping Chua ◽  
Mary Foong Fong Chong ◽  
...  

There is limited evidence for the association between malnutrition and hospital mortality as well as Intensive Care Unit length-of-stay (ICU-LOS) in critically ill patients. We aimed to examine the aforementioned associations by conducting a prospective cohort study in an ICU of a Singapore tertiary hospital. Between August 2015 and October 2016, all adult patients with ≥24 h of ICU-LOS were included. The 7-point Subjective Global Assessment (7-point SGA) was used to determine patients’ nutritional status within 48 hours of ICU admission. Multivariate analyses were conducted in two ways: 1) presence versus absence of malnutrition, and 2) dose-dependent association for each 1-point decrease in the 7-point SGA. There were 439 patients of which 28.0% were malnourished, and 29.6% died before hospital discharge. Malnutrition was associated with an increased risk of hospital mortality [adjusted-RR 1.39 (95%CI: 1.10–1.76)], and this risk increased with a greater degree of malnutrition [adjusted-RR 1.09 (95%CI: 1.01–1.18) for each 1-point decrease in the 7-point SGA]. No significant association was found between malnutrition and ICU-LOS. Conclusion: There was a clear association between malnutrition and higher hospital mortality in critically ill patients. The association between malnutrition and ICU-LOS could not be replicated and hence requires further evaluation.


Medicina ◽  
2021 ◽  
Vol 57 (7) ◽  
pp. 674
Author(s):  
Sjaak Pouwels ◽  
Dharmanand Ramnarain ◽  
Emily Aupers ◽  
Laura Rutjes-Weurding ◽  
Jos van Oers

Background and Objectives: The aim of this study was to investigate the association between obesity and 28-day mortality, duration of invasive mechanical ventilation and length of stay at the Intensive Care Unit (ICU) and hospital in patients admitted to the ICU for SARS-CoV-2 pneumonia. Materials and Methods: This was a retrospective observational cohort study in patients admitted to the ICU for SARS-CoV-2 pneumonia, in a single Dutch center. The association between obesity (body mass index > 30 kg/m2) and 28-day mortality, duration of invasive mechanical ventilation and length of ICU and hospital stay was investigated. Results: In 121 critically ill patients, pneumonia due to SARS-CoV-2 was confirmed by RT-PCR. Forty-eight patients had obesity (33.5%). The 28-day all-cause mortality was 28.1%. Patients with obesity had no significant difference in 28-day survival in Kaplan–Meier curves (log rank p 0.545) compared with patients without obesity. Obesity made no significant contribution in a multivariate Cox regression model for prediction of 28-day mortality (p = 0.124), but age and the Sequential Organ Failure Assessment (SOFA) score were significant independent factors (p < 0.001 and 0.002, respectively). No statistically significant correlation was observed between obesity and duration of invasive mechanical ventilation and length of ICU and hospital stay. Conclusion: One-third of the patients admitted to the ICU for SARS-CoV-2 pneumonia had obesity. The present study showed no relationship between obesity and 28-day mortality, duration of invasive mechanical ventilation, ICU and hospital length of stay. Further studies are needed to substantiate these findings.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Valentin POINTURIER ◽  
Edouard VIROT ◽  
Samuel DEGOUL ◽  
Cyrille MATHIEN ◽  
Antoine POIDEVIN ◽  
...  

1997 ◽  
Vol 13 (1) ◽  
pp. 12-16 ◽  
Author(s):  
C. Zazpe ◽  
M.A. Margall ◽  
C. Otano ◽  
M.P. Perochena ◽  
M.C. Asiain

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Eline G. M. Cox ◽  
Marisa Onrust ◽  
Madelon E. Vos ◽  
Wolter Paans ◽  
Willem Dieperink ◽  
...  

Abstract Background Prognostic assessments of the mortality of critically ill patients are frequently performed in daily clinical practice and provide prognostic guidance in treatment decisions. In contrast to several sophisticated tools, prognostic estimations made by healthcare providers are always available and accessible, are performed daily, and might have an additive value to guide clinical decision-making. The aim of this study was to evaluate the accuracy of students’, nurses’, and physicians’ estimations and the association of their combined estimations with in-hospital mortality and 6-month follow-up. Methods The Simple Observational Critical Care Studies is a prospective observational single-center study in a tertiary teaching hospital in the Netherlands. All patients acutely admitted to the intensive care unit were included. Within 3 h of admission to the intensive care unit, a medical or nursing student, a nurse, and a physician independently predicted in-hospital and 6-month mortality. Logistic regression was used to assess the associations between predictions and the actual outcome; the area under the receiver operating characteristics (AUROC) was calculated to estimate the discriminative accuracy of the students, nurses, and physicians. Results In 827 out of 1,010 patients, in-hospital mortality rates were predicted to be 11%, 15%, and 17% by medical students, nurses, and physicians, respectively. The estimations of students, nurses, and physicians were all associated with in-hospital mortality (OR 5.8, 95% CI [3.7, 9.2], OR 4.7, 95% CI [3.0, 7.3], and OR 7.7 95% CI [4.7, 12.8], respectively). Discriminative accuracy was moderate for all students, nurses, and physicians (between 0.58 and 0.68). When more estimations were of non-survival, the odds of non-survival increased (OR 2.4 95% CI [1.9, 3.1]) per additional estimate, AUROC 0.70 (0.65, 0.76). For 6-month mortality predictions, similar results were observed. Conclusions Based on the initial examination, students, nurses, and physicians can only moderately predict in-hospital and 6-month mortality in critically ill patients. Combined estimations led to more accurate predictions and may serve as an example of the benefit of multidisciplinary clinical care and future research efforts.


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