Literature DB >> 33053033

Delirium and quality of life in critically ill patients: a prospective cohort study.

Lúcia Fabiane da Silva Luz1, Moreno Calcagnotto Dos Santos2, Tiago Almeida Ramos2, Clarissa Balbão de Almeida3, Márcia Cristina Rover3, Claudia Pellizzer Dal'Pizzol3, Cristiane Letícia da Silva Pohren3, Aline Vanessa da Silva Martins3, Márcio Manozzo Boniatti4.   

Abstract

OBJECTIVE: To evaluate the association between the incidence of delirium in the intensive care unit and quality of life 1 month after hospital discharge.
METHODS: This was a prospective cohort study conducted in the intensive care units of two medium-complexity hospitals from December 2015 to December 2016. Delirium was identified using the Confusion Assessment Method for the Intensive Care Unit scale. At the time of hospital discharge, functional capacity and cognition were assessed with the Barthel index and the Mini Mental State Examination, respectively. Thirty days after patient discharge, the World Health Organization Quality of Life-BREF questionnaire was administered by telephone.
RESULTS: A total of 216 patients were included. Delirium was identified in 127 (58.8%) of them. Patients with delirium exhibited greater functional dependence (median Barthel index 50.0 [21.2 - 70.0] versus 80.0 [60.0 - 95.0]; p < 0.001) and lower cognition (Mini Mental State Examination score 12.9 ± 7.5 versus 20.7 ± 9.8; p < 0.001) at hospital discharge. There was no difference in any of the quality-of-life domains evaluated 1 month after hospital discharge between patients with and without delirium.
CONCLUSION: Our findings suggest that patients with delirium in the intensive care unit do not have worse quality of life 1 month after hospital discharge, despite presenting greater cognitive impairment and functional disability at the time of hospital discharge.

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Year:  2020        PMID: 33053033      PMCID: PMC7595710          DOI: 10.5935/0103-507X.20200072

Source DB:  PubMed          Journal:  Rev Bras Ter Intensiva        ISSN: 0103-507X


INTRODUCTION

Delirium is an acute attentional disorder with cognitive changes and a fluctuating course, with or without hyperactive symptoms, that often occurs in critically ill patients. According to a meta-analysis of more than 16,000 critically ill patients, the incidence of delirium is almost one-third.( Some studies, however, have reported rates higher than 80% in patients requiring mechanical ventilation (MV).( In addition to longer hospital stay and higher mortality, patients with delirium have greater cognitive impairment and functional disability in the long term.( Its association with quality of life, however, is still controversial. Two studies suggest that delirium is a risk factor for worse quality of life( , while four other studies suggest that there is no association.( The present study evaluated the association between the incidence of delirium in the intensive care unit (ICU) and quality of life 1 month after hospital discharge.

METHODS

This was a prospective cohort study. The study was conducted in the ICUs of Hospital de Aeronáutica de Canoas (HACO), in Rio Grande do Sul, Brazil, a private medium-complexity hospital, and of the Hospital de Montenegro, also in Rio Grande do Sul, a public medium-complexity hospital. The HACO ICU had five beds for clinical and surgical patients separated by curtains, in a shared room, with windows that let in natural light. The ICU of Hospital de Montenegro had ten beds for clinical and surgical patients, two individual ones and eight separated by curtains in a shared room, with windows that let in natural light. In neither of the two ICUs was there a policy of extended family visitation during the data collection period. Visitation in both ICUs was allowed for 1 hour at three different times of day. The study was approved by the Research Ethics Committee of Universidade La Salle, located in Canoas, under CAAE no. 49738715.4.0000.5307. All patients admitted to either ICU from December 2015 to December 2016 were assessed for eligibility. Patients to whom the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) scale could not be applied during the ICU stay or who stayed in the ICU for less than 24 hours were excluded. The following variables were collected at admission to the ICU: age, sex, previous functional capacity according to the Barthel index (answered by a family member), origin of admission, type of admission and Simplified Acute Physiology Score 3 (SAPS 3). During the ICU stay, the need for MV, continuous sedation, use of vasopressors, and tracheostomy were recorded. Delirium was identified using the CAM-ICU, validated for Portuguese( , which was applied twice a day throughout the patient’s stay in the ICU after assessing the patient’s level of sedation with the Richmond Agitation and Sedation Scale (RASS). The patient had to have a RASS score between -3 and +4 for the CAM-ICU to be applied. The Barthel index( and the Mini Mental State Examination (MMSE)( were applied at the time of hospital discharge. Thirty days after patient discharge, the World Health Organization Quality of Life-BREF (WHOQOL-BREF) questionnaire was administered by telephone.( The functional capacity was assessed using the Barthel index. This index measures the level of independence in 10 self-care activities: feeding, bathing, grooming, dressing, bladder and bowel control, toilet use, walking on level surfaces, walking on stairs, and transfers from chair to bed and back. The score ranges from 0 to 100. Patients were considered dependent if they had a Barthel index < 60.( Cognition was assessed by means of the MMSE. The score ranges from 0 to 30. Patients were classified as having normal cognition (score 3 24), mild cognitive impairment (score between 19 and 23), or severe cognitive impairment (score between 0 and 18).( The quality of life of patients was assessed using the WHOQOL-BREF questionnaire. It contains 26 questions divided into four domains: physical, psychological, social relationships, and environment.

Statistical analysis

Continuous variables are expressed as the mean ± standard deviation (SD) or median and interquartile range (IQR). The categorical variables are expressed as absolute numbers and percentages. Student’s t-test or the Mann-Whitney test was used for continuous variables, and the chi-squared test was used for categorical variables. To adjust for potential confounders, covariates were selected a priori based on clinical plausibility for the occurrence of the outcome. These covariates included age, length of ICU stay, SAPS 3, Barthel Index at admission, and need for MV. These variables, in addition to the diagnosis of delirium, were included in the multiple linear regression models using forward selection. A separate multiple linear regression analysis was performed for each WHOQOL-BREF domain. The level of significance was set at 0.05. Statistical analysis was performed with the commercially available statistical program Statistical Package for Social Sciences (SPSS), version 22.0 (SPSS, Chicago, IL, USA).

RESULTS

During the study period, 319 patients were evaluated for eligibility. A total of 103 patients were excluded, resulting in 216 patients for the study. Delirium was identified in 127 (58.8%) patients. Of the patients included in the study, 169 were discharged. Of these, 74 patients answered the quality of life questionnaire 1 month after hospital discharge (Figure 1).
Figure 1

Flowchart of patient inclusion into the study.

CAM-ICU - Confusion Assessment Method for the Intensive Care Unit; ICU - intensive care unit.

Flowchart of patient inclusion into the study. CAM-ICU - Confusion Assessment Method for the Intensive Care Unit; ICU - intensive care unit. Table 1 shows a descriptive analysis of patient characteristics. The patients with delirium were older and had a higher severity score and lower functional capacity before admission. In addition, during the ICU stay, these patients required MV more frequently and had longer ICU and hospital stays. Finally, patients with delirium had higher in-hospital mortality.
Table 1

Univariate comparison of the general patient characteristics according to the incidence of delirium during the intensive care unit stay

 With delirium (n = 127)Without delirium (n = 89)p value
Age (years)67.4 ± 14.962.2 ± 15.70.014
Sex, male65 (51.2)55 (61.8)0.122
Origin  0.021
    Emergency65 (51.2)55 (61.8) 
    Ward29 (22.8)20 (22.5) 
    Surgical ward6 (4.7)8 (9.0) 
    Another hospital27 (21.3)6 (6.7) 
Type of admission  0.125
    Clinical121 (95.3)79 (88.8) 
    Elective surgery1 (0.8)4 (4.5) 
    Emergency surgery5 (3.9)6 (6.7) 
Barthel Index on admission80.0 (60.0 - 100.0)90.0 (70.0 - 100.0)0.043
SAPS 366.4 ± 15.251.1 ± 15.5< 0.001
MV107 (84.3)24 (27.0)< 0.001
Tracheostomy16 (12.6)1 (1.1)0.001
Continuous sedation78 (61.4)18 (20.2)< 0.001
Benzodiazepine33 (26.0)3 (3.4)< 0.001
Vasopressor110 (86.6)26 (29.2)< 0.001
Length of ICU stay (days)6.0 (4.0 - 10.0)3.0 (2.0 - 4.0)< 0.001
Length of hospital stay (days)16.0 (9.0 - 26.0)9.0 (6.0 - 14.0)< 0.001
Death in the ICU15 (11.8)6 (6.7)0.216
Death in the hospital38 (29.9)9 (10.1)0.001

SAPS 3 - Simplified Acute Physiology Score 3; MV - mechanical ventilation; ICU - intensive care unit.

Univariate comparison of the general patient characteristics according to the incidence of delirium during the intensive care unit stay SAPS 3 - Simplified Acute Physiology Score 3; MV - mechanical ventilation; ICU - intensive care unit. Regarding the duration of delirium, 49 (38.6%) patients had delirium for only 1 day, and 78 (61.4%) patients had delirium for more than 1 day. Regarding functional capacity, in the univariate analysis, patients with delirium showed greater functional dependence than patients without delirium. The median Barthel index at hospital discharge was 50.0 (21.2 - 70.0) and 80.0 (60.0 - 95.0) for patients with and without delirium, respectively (p < 0.001). Among the patients with delirium, 30 (57.7%) were considered dependent. Of the patients without delirium, only 14 (21.2%) were considered dependent. In addition, 44 (84.6%) patients with delirium showed a decrease in the Barthel Index during their hospital stay. Among the patients without delirium, 28 (42.4%) showed a decrease (p < 0.001). In the multiple linear regression model, delirium maintained an independent association with functional capacity (Table 2).
Table 2

Multiple linear regression for functional capacity

 β coefficientStandard errorp value
Barthel Index on admission0.770.07< 0.001
Delirium-13.343.880.001
MV-12.293.850.002

MV - mechanical ventilation. Model adjusted for age, length of intensive care unit stay and Simplified Acute Physiology Score 3.

Multiple linear regression for functional capacity MV - mechanical ventilation. Model adjusted for age, length of intensive care unit stay and Simplified Acute Physiology Score 3. Patients with delirium also had worse cognition at hospital discharge than patients without delirium. In the univariate analysis, the mean MMSE score of patients with delirium was 12.9 ± 7.5; for patients without delirium, the mean score was 20.7 ± 9.8 (p < 0.001). Of the 53 patients with delirium evaluated by the MMSE at hospital discharge, only two (3.8%) patients had normal cognition, and 40 (75.5%) had severe cognitive impairment. Among the 65 patients without delirium evaluated by the MMSE, the prevalence of normal cognition and severe cognitive impairment was 41.5% (n = 27) and 36.9% (n = 24), respectively. Delirium maintained an independent association with cognition in multiple linear regression (Table 3).
Table 3

Multiple linear regression for cognition

 β coefficientStandard errorp value
Barthel Index on admission0.120.02< 0.001
Delirium-5.691.14< 0.001
SAPS 3-0.090.040.03

SAPS 3 - Simplified Acute Physiology Score 3. Model adjusted for age, mechanical ventilation and length of intensive care unit stay.

Multiple linear regression for cognition SAPS 3 - Simplified Acute Physiology Score 3. Model adjusted for age, mechanical ventilation and length of intensive care unit stay. Regarding quality of life evaluated 1 month after hospital discharge, there was no difference in the univariate analysis in any of the domains between patients with and without delirium (Table 4). The presence of delirium in the ICU was not correlated with quality of life after adjustment for confounders in the multiple linear regression model (Supplementary material). The reasons for loss to follow-up 1 month after hospital discharge were death (with delirium: 7, 18.9%; without delirium: 8, 13.8%; p = 0.80), cognitive and/or functional inability to answer the questionnaire by telephone (13, 35.1%; 22, 37.9%; p = 0.80), and inability to contact the patient by telephone (17, 45.9%; 28, 48.3%; p = 0.63).
Table 4

Comparison of the domains of the World Health Organization Quality of Life-BREF questionnaire between patients with and without delirium

 With delirium (n = 31)Without delirium (n = 43)p value
Physical46.8 ± 23.650.8 ± 23.70.47
Psychological53.4 ± 24.162.7 ± 20.00.08
Social relationships48.9 ± 15.856.4 ± 18.80.08
Environment56.4 ± 13.562.1 ± 16.20.12
Comparison of the domains of the World Health Organization Quality of Life-BREF questionnaire between patients with and without delirium

DISCUSSION

In this prospective cohort study involving a general population of critically ill patients, we found delirium was associated with decreased functional capacity and cognition, even after adjusting for confounding variables. However, delirium was not associated with quality of life 1 month after hospital discharge. Few studies have evaluated the impact of the incidence of delirium during ICU stay on the quality of life of survivors after hospital discharge. Two studies suggest that delirium is a risk factor for worse quality of life,( while four other studies suggest that there is no association.( Those studies do not include the study by Jackson et al.( because these authors evaluated only two of the eight domains of the Medical Outcomes Short-Form Health Survey. Van Rompaey et al.( did not correct for disease severity. In the study by Abelha et al.,( only surgical patients were included, which makes it difficult to generalize the results. In three of the four studies that did not find an association between delirium and quality of life, most patients included were surgical patients.( In addition, two of these studies were single-center studies.( Our study reinforces the findings in clinical patients and was performed in two centers. In previous studies, quality of life was assessed between the second and 18th months after ICU discharge.( The difference between patients with and without delirium in the ICU is likely to be more pronounced at the beginning of the recovery process.( We chose to perform an earlier assessment to investigate an aspect not yet addressed in previous studies and to test the hypothesis that the first month after hospital discharge is the period when the greatest impact of delirium in the ICU is experienced. However, even with this early assessment in the course of recovery, we found no association of delirium with any of the domains evaluated on the quality-of-life scale. After ICU stay, many patients have decreased functional capacity, even though they are functionally independent before admission.( This impairment is usually seen in the ability to perform basic activities of daily living, such as bathing, dressing, eating, and bowel and bladder control, and it might be even greater when the patient experiences delirium in the ICU. Brummel et al. found an independent association between delirium and decreased functional capacity 1 year after ICU discharge.( Similar results were found in another study, which included only surgical patients.( However, the study that evaluated this outcome with the largest number of included patients did not observe such an association.( In our study, patients with delirium showed more impaired functional capacity at hospital discharge, even after adjusting for confounding variables, including functional capacity before admission. Again, these discrepancies could be related to population characteristics and follow-up time. Our earlier assessment over the course of recovery most likely influenced our findings.( The mechanisms responsible for the possible relationship between delirium and functional disability are still unclear. A potential mechanism is the reduction in spontaneous physical activity as part of hypoactive delirium, the most common delirium subtype among critically ill patients.( This reduction in spontaneous physical activity can lead to muscle atrophy due to disuse and, later, to functional disability in the months after the critical illness.( Another suggested mechanism is that inflammation, usually present in critically ill patients with delirium, leads to muscle mass loss in these patients.( The association between delirium and cognitive impairment is more consistently demonstrated. Several multicenter prospective studies( and a meta-analysis( confirmed this association. In our study, most patients with delirium had severe cognitive impairment at the time of hospital discharge. Although that time may be too early to perform cognition assessment, a previous study found that cognitive function at the time of hospital discharge was a significant predictor of long-term cognitive function.( The mechanisms responsible for the association between delirium and cognitive impairment are also unclear. Delirium is associated with reduced white matter integrity in the central nervous system, which is associated with cognitive impairment.( In addition, delirium has been associated with cerebral atrophy, possibly through neuronal inflammation and apoptosis.( Interestingly, cognitive impairment had no impact on the perceived quality of life of this population. Although an association between cognitive problems and worsened quality of life was expected, our results are consistent with previous studies that did not find this association.( Our study has some limitations. The small number of included patients, especially patients who completed the 1-month follow-up, is an important limitation. Although the reasons for loss to follow-up were not different between patients with and without delirium, the amount of loss to follow-up may have added a bias to the results. Most of the losses were due to lack of telephone contact, and the patients we could not contact may have had worse quality of life, with less social support, than those who were contacted. Another limitation was the loss of patients due to the inability to apply the CAM-ICU. Most of these patients remained sedated until death, which made it impossible to apply the tool. In addition, the assessment of functional capacity before hospitalization was based on the report of family members, although this is a limitation of almost all studies with critically ill patients. Quality of life was not assessed before hospitalization, which is another limitation of the study. Lastly, we did not evaluate the long-term impact of delirium. Despite being a limitation, the earlier evaluation provides some findings not sought by other studies.

CONCLUSION

Our findings suggest that patients with delirium in the intensive care unit do not have worsened quality of life 1 month after hospital discharge, despite presenting greater cognitive impairment and functional disability at the time of hospital discharge. Click here for additional data file.
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