Abstract
Introduction: Post-operative delirium remains a significant problem, particularly in the older surgical patient. Previous evidence suggests that the provision of supplementary visual feedback about ones environment via the use of a mirror may positively impact on mental status and attention (core delirium diagnostic domains). We aimed to explore whether use of an evidence-based mirrors intervention could be effective in reducing delirium and improving post-operative outcomes such as factual memory encoding of the Intensive Care Unit (ICU) environment in older cardiac surgical patients.
Methods: This was a pilot time-cluster randomized controlled trial at a 32-bed ICU, enrolling 223 patients aged 70 years and over, admitted to ICU after elective or urgent cardiac surgery from October 29, 2012 to June 23, 2013. The Mirrors Group received a structured mirrors intervention at set times (e.g., following change in mental status). The Usual Care Group received the standard care without mirrors. Primary outcome was ICU delirium incidence; secondary outcomes were ICU delirium days, ICU days with altered mental status or inattention, total length of ICU stay, physical mobilization (balance confidence) at ICU discharge, recall of factual and delusional ICU memories at 12 weeks, Health-Related Quality of Life at 12 weeks, and acceptability of the intervention.
Results: The intervention was not associated with a significant reduction in ICU delirium incidence [Mirrors: 20/115 (17%); Usual Care: 17/108 (16%)] or duration [Mirrors: 1 (1–3); Usual Care: 2 (1–8)]. Use of the intervention on ICU was predictive of significantly higher recall of factual (but not delusional) items at 12 weeks after surgery (p = 0.003) and acceptability was high, with clinicians using mirrors at 86% of all recorded hourly observations. The intervention did not significantly impact on other secondary outcomes.
Conclusion: Use of a structured mirrors intervention on the post-operative ICU does not reduce delirium, but may result in improved factual memory encoding in older cardiac surgical patients. This effect may occur via mechanisms unrelated to delirium, altered mental status, or inattention. The intervention may provide a new means of improving outcomes in patients at risk of post-ICU anxiety and/or Post-Traumatic Stress Disorder.
Trial Registration: Clinicaltrials.gov identifier NCT01599689.
Keywords: delirium, mirror, cardiac surgery, post-operative, factual memories, delusional memories, intensive care unit (ICU), post-traumatic stress disorder (PTSD)
Introduction
In spite of other improvements after cardiac surgery, post-operative delirium, an acute change in mental status and attention (Inouye, 2006), remains a significant problem (Rudolph et al., 2009). Currently affecting up to 50% of patients after cardiac surgery (Brown, 2014), delirium is independently associated with cognitive and functional decline 1 year later (Koster et al., 2009), increased mortality up to 10 years later (Gottesman et al., 2010) and significant healthcare and economic costs (Milbrandt et al., 2004). With advanced age constituting a major risk factor (National Institute for Heath, and Care Excellence [NICE], 2010), delirium will pose an increasing challenge to health care providers and policy makers as the older population increases. Pharmacological interventions have been shown effective in some studies with cardiac surgical and other patients (National Institute for Heath, and Care Excellence [NICE], 2010), but their prophylactic use is controversial (Page et al., 2013).
Current evidence-based guidelines suggest maintaining optimal sensory stimulation to reduce delirium in the post-operative ICU patient (National Institute for Heath, and Care Excellence [NICE], 2010). This may be particularly important in the case of older post-operative patients, who may suffer age-related sensory changes (Schneider et al., 2012; Hughes et al., 2015). We hypothesized that the provision of supplementary sensory feedback, via the use of mirrors, could help reduce post-operative delirium in older patients recovering after cardiac surgery. In previous studies with adult ICU patients in post-comatose states (Vanhaudenhuyse et al., 2008) and older care home residents with dementia (Tabak et al., 1996), the use of mirrors has been shown to positively impact on mental status and attention. Mental status and attention are core diagnostic domains for delirium (Inouye et al., 1990). In older patients recovering after stroke, the use of mirrors has been shown to support earlier physical mobilization (Altschuler et al., 1999; Sütbeyaz et al., 2007), which may further help reduce delirium risk in ICU patients (Schweickert et al., 2009).
A secondary and related hypothesis was that facilitating multisensory feedback and integration, via the use of mirrors, could support encoding of more factual or “real” events in the ICU environment, which may reduce development of “unreal” delusional memories after ICU discharge (Jones et al., 2001). Delusional memories, such as nightmares and hallucinations, are currently common after ICU discharge and have been associated with PTSD in this population (Jones et al., 2001, 2010).
Developing an evidence-based intervention on the basis of previous data (Tabak et al., 1996; Altschuler et al., 1999; Sütbeyaz et al., 2007; Vanhaudenhuyse et al., 2008; Freysteinson, 2009a,b), we devised a mirrors intervention which would support mental status and attention, earlier physical mobilization and recovery, and multisensory feedback and integration and which could be used in a post-operative ICU setting.
We aimed to explore whether this evidence-based intervention, used at set times such as following a change in mental status, during care-related procedures, or during routine physical therapy, could reduce delirium in older patients admitted to the ICU after cardiac surgery. We also aimed to explore whether use of this intervention positively impacts on post-operative outcomes such as factual (as opposed to delusional) memory encoding of the ICU environment. To achieve this, we used a cluster randomized controlled design with 2-week time period clusters of patients as unit of randomisation, in order to control for contamination.
Methods
The study was approved by the National Research Ethics Service Committee East of England Cambridge Central (REC reference: 12/EE/0254, July 05, 2012). All participants gave written informed consent before taking part in any trial procedures. The trial was prospectively registered on ClinicalTrials.gov1.
The study population included patients aged 70 years and over, admitted to ICU after elective or urgent cardiac surgery over a 32-week period (October 29, 2012 to June 23, 2013). Exclusion criteria were: inability to obtain informed consent, care pathway anticipating admission elsewhere than to ICU following surgery, severe visual impairment impeding ability to recognize self in mirror, physical or communication barriers likely to impede effective administration of study procedures, severe mental disability likely to impede assessment of delirium, and history of psychiatric illness previously requiring hospitalization.
Consented patients were allocated to either the Mirrors Group or Usual Care Group at the time of their admission to ICU following cardiac surgery. Patients allocated to the Mirrors Group received a structured, protocol-driven mirrors intervention as part of their post-operative ICU care pathway. The intervention commenced from the time all anesthetic agents were switched off and the patient was awake following surgery. It was administered by patient’s nursing and physiotherapy teams and consisted in the use, and coaching in the use, of two types of mirrors to support mental status and attention, physical mobilization, and multisensory feedback and integration. The mirrors included: (i) a standard 23 × 41 cm unbreakable personal mirror of the type used in clinical/therapeutic settings where viewing of the face is desired (e.g., speech therapy) and (ii) a standard 160 × 50 cm mobile posture mirror of the type used in physical/occupational therapy to provide visual feedback supporting proprioception (e.g., rehabilitation following stroke). A protocol determined the times of use and standardized ways in which clinicians should use these mirrors (see Table 1).
Table 1.
Indicated times of use | Therapeutic action/Instructions for use |
---|---|
(1) Patient shows change in mental status (i.e., on sedation scale) or wakes from natural sleep | To support mental status and attention: Patient coached in use of mirror as reorienting tool and for supporting self-awareness |
(2) Patient to have medical/nursing procedures administered to them (e.g., dressing change, line removal) | To support multisensory feedback and integration: Mirror used to aid explanation about procedures to patient and awareness of objects/events in patients personal space, patient coached in use of mirror as communication tool for asking about what is happening to/going on around them |
(3) Patient needs help with personal care, grooming, eating, etc. (4) Patient to have passive and active limb exercises with ICU physiotherapist (5) Patient to have routine mobilization exercises with ICU physiotherapist (e.g., sitting on edge of bed, bed-to-chair transfers) |
To support physical mobilization: Mirror placed in optimal safe position for viewing. Patient coached in using mirror to obtain visual feedback to support hand-eye coordination and allow self-care. Patient coached in using visual feedback to understand body and limb positions, monitor limb trajectories, trunk control, posture and balance, and promote earlier mobilization. |
Patients allocated to the Usual Care Group received the current standard post-surgical ICU care which includes no prescriptions around the use of mirrors. If a Usual Care patient brought in a mirror with their personal belongings, they were allowed to use as it in the way that they wished, as would occur in routine practice. Both groups received the same 1:1 intensive care and continuous presence of a nurse at the bedside. Clinical care of study patients (including the management of delirium) was in no way affected by group allocation or participation in the study.
The primary endpoint was delirium incidence, defined as the proportion of patients with at least one recorded episode of delirium during their ICU stay. Delirium was diagnosed using the Confusion Assessment Method for the ICU (CAM-ICU) (Ely et al., 2001a,b), administered to all patients (except if deeply sedated or comatose) by patients’ direct care teams, twice per day, according to the CAM-ICU Manual (Vanderbilt University Medical Center, 2014) and recommended clinical guidelines (National Institute for Heath, and Care Excellence [NICE], 2010). The ICC for delirium incidence was also calculated to quantify similarity of outcomes within clusters. Secondary endpoints were: ICU days with delirium, proportion of ICU LOS with delirium, ICU days with altered mental status and inattention as assessed by direct care teams using the RASS (Sessler et al., 2002) and CAM-ICU, physical mobilization at ICU discharge as assessed by a research nurse using the ABC Scale (Powell and Myers, 1995), total length of ICU stay, factual memories and incidence of delusional memories at 12 weeks after surgery as assessed by a research nurse using the ICUMT (Jones et al., 2000), HRQoL at 12 weeks after surgery assessed by a research nurse using the EQ-5D VAS and index score (EuroQol Group, 1990), and acceptability of the intervention assessed on the basis of the proportion of mirror uses as indicated, proportion of instances where patients refused, and total adherence rate.
The unit of randomisation was 2-week time period cluster (with all consented patients admitted to ICU during a given 2-week time period cluster being allocated to the treatment of that cluster), in order to reduce the risk of contamination associated with the visible nature of the intervention in an open-ICU environment. There were 16 2-week clusters in total (eight Mirrors, eight Usual Care). Each cluster included a 2-day washout period at the end, during which admitted patients were excluded from being enrolled (this duration was considered optimal on the basis of our ICU admission statistics for ensuring that >90% of enrolled patients would be discharged before the end of their cluster). The treatment for each cluster was determined by the trial statistician (LDS) using a computer-generated random permutation algorithm ensuring equal numbers of clusters assigned to each treatment arm [Stata version 12 (StataCorp, 2011)]. Allocation was revealed to the clinical trial coordinator on the morning of the start of each cluster using an independent telephone randomisation system. Treatment allocation was the same for all patients admitted within a same cluster and continued until patients’ ICU discharge, even if their ICU stay extended into a subsequent cluster with different treatment allocation. Blinding of patients and clinicians to group allocation was not possible due to the nature of the intervention. To minimize subjective bias and other effects, an objective and standardized screening methodology was followed to measure delirium outcomes and members of the research team carrying out data analysis were blinded to treatment allocation.
No formal sample size calculation was carried out in this pilot study. Instead, a pragmatic sample of patients receiving cardiac surgery over a 32-week period was recruited in order to produce preliminary estimates of the incidence of delirium in the two groups and provide an estimate of the ICC from which to estimate sample size for a subsequent definitive trial (if warranted). The effects of the intervention on outcome measures were analyzed according to the intention-to-treat principle. Delirium incidence and incidence of delusional memories were analyzed using mixed effects logistic regression with random intercepts for the time clusters and assuming an exchangeable covariance structure. Days with delirium, days with altered mental status and inattention, length of ICU stay, and number of factual memories were analyzed using mixed effects Poisson regression using a modified approach with robust error variances (Zou, 2004) to estimate the relative risk and confidence intervals. Proportion of ICU stay with delirium, physical mobilization (ABC scores), HRQoL (VAS and index scores) were analyzed using a generalized linear model with a logit link and binomial family, using the robust option to obtain standard errors (Papke and Wooldridge, 1996). All mixed model analyses were carried out adjusting for patient characteristics [age, gender, and operative risk (EuroSCORE, Nashef et al., 1999)] (included as fixed effects) and time-clusters (included as a random effect). All analyses were carried out using Stata version 12 (StataCorp, 2011).
Results
Over the 32-week period between October 29, 2012 to June 23, 2013, eight clusters were assigned to Mirrors (n = 115) and eight clusters to Usual Care (n = 108). Among 669 patients screened, 223 were enrolled onto the study and 446 were excluded (see Figure 1 for details). The study population had a mean age of 77.2 (SD:4.9), was mostly male, and had a mean logistic EuroSCORE of 6.7 (IQR: 3.8–13.0). The cluster randomisation was successful in creating groups of equal age, gender, surgical risk, surgery type, and priority (see Table 2).
Table 2.
Mirrors group (n = 115) | Usual care group (n = 108) | Total (N = 223) | |
---|---|---|---|
Age | 77.4 (4.8) | 77.0 (4.9) | 77.2 (4.9) |
Gender | 28 (24%) | 25 (23%) | 53 (24%) |
EuroSCORE | 7 (5–9 [3–16]) | 7 (5–9 [3–18]) | 7 (5–7 [3–18]) |
(additive; logistic) | 6.8 (3.7–13.0 [1.8–58.6]) | 6.7 (3.8–13.2 [1.8–80.8]) | 6.7 (3.8–13.0) [1.8–80.8]) |
Surgery Type: | |||
–CABG | 58 (50%) | 54 (50%) | 112 (50%) |
–AVR | 17 (15%) | 12 (11%) | 29 (13%) |
–MVR | 9 (8%) | 9 (8%) | 18 (8%) |
–CABG+AVR | 16 (14%) | 17 (16%) | 33 (15%) |
–CABG+MVR | 2 (2%) | 2 (2%) | 4 (2%) |
–AVR+MVR | 4 (3%) | 4 (4%) | 8 (4%) |
–Other complex | 9 (8%) | 10 (9%) | 19 (9%) |
Priority: | |||
–Elective | 82 (71%) | 75 (69%) | 157 (70%) |
–Urgent | 33 (29%) | 33 (31%) | 66 (30%) |
Values are mean (SD), median (IQR [range]), or number (proportion).
CABG, coronary artery bypass graft; AVR, aortic valve replacement; MVR, mitral valve replacement.
Effects of the Intervention
Table 3 summarizes results for primary outcome (delirium incidence), as well as other delirium and non-delirium outcomes. There were no significant differences between groups in delirium incidence. There were no significant differences in median days with delirium or proportion of total ICU stay with delirium. The ICC was <0.01 (not shown), indicating that time clustering effects were negligible. Mirrors were independently associated with greater recall of factual items from ICU at 12 weeks, with the rate of recall for Mirrors patients, relative to the Usual Care Group, being 1.34, 95% CI 1.10 to 1.62, p = 0.003 (significant at Bonferroni-adjusted alpha of 0.005)]. This positive effect was observed in both male and female patients, irrespective of age and operative risk [even though older age was itself a predictor of poorer factual recall (rate of recall for patients aged over 80 years, relative to patients aged 70–80 years: 0.74, 95% CI 0.59 to 0.93, p < 0.001, not shown in table)]. There were no other significant differences in secondary outcomes between groups.
Table 3.
Delirium ICU outcomes | Mirrors (n = 115) | Usual Care (n = 108) | Estimate | 95% CIs | p-value |
---|---|---|---|---|---|
Number (incidence) of patients with Delirium | 20 (17%) | 17 (16%) | OR 1.15 | 0.54 to 2.43 | 0.705 |
Delirium duration; days | 1 (1–3 [1–25]) | 2 (1–8 [1–13]) | RR 0.66 | 0.25 to 1.75 | 0.401∗ |
RR 0.66 | 0.26 to 1.70 | 0.393† | |||
Delirium duration; proportion of ICU stay | 0.54 (0.30) | 0.65 (0.29) | Coef -0.17 | -0.56 to 0.23 | 0.406∗ |
Coef -0.10 | -0.67 to 0.47 | 0.729† | |||
Non-Delirium ICU outcomes | Mirrors (n = 108) | Usual Care (n = 103) | Estimate | 95% CIs | p-value |
Altered mental status; days | 1 (1–2 [1–33]) | 1 (1–2 [1–22]) | RR 0.58 | 0.29 to 1.16 | 0.123∗ |
RR 0.58 | 0.30 to 1.12 | 0.103† | |||
Inattention; days | 1 (1–2 [1–32]) | 1 (1–2 [1–18]) | RR 0.65 | 0.25 to 1.68 | 0.374∗ |
RR 0.70 | 0.24 to 1.86 | 0.441† | |||
ABC Score‡ | 0.26 (0.23) | 0.20 (0.16) | Coef 0.27 | -0.10 to 0.64 | 0.147 |
Total ICU stay; days | 2 (1–2 [1–55]) | 2 (12 [1–38]) | RR 0.99 | 0.75 to 1.31 | 0.942 |
Non-Delirium 12-week outcomes | Mirrors (n = 99) | Usual care (n = 96) | Estimate | 95% CIs | p-value |
Factual memories; items recalled | 4 (2–6 [0–8]) | 3 (1–5 [0–8]) | RR 1.34 | 1.10 to 1.62 | 0.003 |
Number (incidence) of patients with delusional memories | 26 (26%) | 23 (24%) | OR 1.22 | 0.63 to 2.36 | 0.546 |
EQ-5D VAS§ | 73 (19) | 77 (15) | Coef -0.04 | -0.09 to 0.01 | 0.127 |
EQ-5D index | 0.87 (0.13) | 0.87 (0.13) | Coef -0.00 | -0.05 to 0.04 | 0.950 |
Values are mean (SD), median (IQR [range]), or number (proportion). Model estimates, 95% Confidence intervals (CIs), and p-values are also shown.
∗In patients with at least one occurrence of Delirium, altered Mental Status, or Inattention (whichever is being measured).
†In total sample with data.
‡Activities-specific balance confidence (ABC) Score.
§EQ-5D Visual Analog Score.
Table 4 shows total mirror uses (by type), as well as non-uses, out of all recorded nursing and physiotherapy observations of patients in the Mirrors Group. Mirrors were used by ICU nurses and physiotherapists and accepted by patients in 86% of all observations. The number of Mirrors patients who refused the intervention altogether was low (3%, not shown). “Support for medical/nursing procedures” represented the most frequent type of mirror use.
Table 4.
Total recorded observations (N = 1880) | |
---|---|
Change in mental status | 303 (16%) |
Medical/nursing procedures | 450 (24%) |
Personal care/grooming | 378 (20%) |
Passive/active limb exercises | 180 (10%) |
Mobilization exercises | 166 (9%) |
Other∗ | 139 (7%) |
Non-uses due to patient refusal† | 264 (14%) |
Total uses as indicated | 1616 (86%) |
∗Examples of other uses recorded by clinicians were: to support deep breathing exercises, for visualising chest drains to contextualise pain, for passive viewing of self as per patient request.
†Including in patients who never received intervention.
Discussion
Results of this study do not support the hypothesis that use of this structured mirrors intervention on ICU reduces post-operative delirium in cardiac surgical patients. Evidence for effective non-pharmacological interventions in cardiac surgical ICU patients is lacking (Brown, 2014). In the current pilot study, we recruited a pragmatic sample of cardiac surgical patients aged 70 years and over (with and without delirium risk factors) over 32 weeks at a single center. Given that most patients in our sample were discharged from ICU less than 2 days after surgery and neither study treatments nor delirium testing were carried out beyond ICU discharge, it is possible that treatment effects (and post-operative delirium rates) were under-estimated in the present study.
The use of mirrors on ICU was associated with a small, but statistically significant positive impact on recall of factual (as opposed to delusional) items from ICU at 12 weeks after surgery, even after adjusting for multiple comparisons. This effect was observed in both male and female patients, irrespective of patient characteristics and operative risk. Long-term anxiety and PTSD currently represent a significant problem in surgical, as well as non-surgical, ICU patients (Jones et al., 2001, 2010; Girard et al., 2007). A substantial body of evidence suggests that the number of factual memories (as opposed to delusion memories) after ICU discharge is a predictor of subsequent post-ICU PTSD (Jones et al., 2001). Indeed, numerous strategies supporting factual encoding [e.g., the use of patient diaries (Jones et al., 2010), sedation reduction (Sackey et al., 2008)] have been investigated to improve long-term outcomes in ICU patients. On the basis of evidence from other settings, we had hypothesized that use of mirrors would positively impact on mental status and attention, thereby enhancing factual encoding. However, our results do not support this mechanism as quantified on the basis of CAM-ICU feature data. It is possible that use of mirrors during patients’ post-operative ICU care can help form a more integrated and predictable percept of self in an unexpected environment to normalize the balance between feed-forward and feedback signaling (Corlett et al., 2007; Murray et al., 2010) – a disruption of which older patients (aged >80 years) may be at increased risk. Further exploration of the potential of mirrors to help offset this risk and improve psychiatric outcomes in a larger sample of older cardiac surgical (and other) patients at increased risk may be warranted.
Some methodological considerations of this study should be noted. First, we are unable to rule out placebo and other effects. It is unlikely that use of mirrors was associated with ‘additional’ care procedures administered to patients in the Mirrors Group, as all patients in both groups received continuous 1:1 ICU nursing at the bedside and the intervention was designed for use during aspects of care that were already routinely administered. Use of mirrors may have been associated with increased staff-patient interaction to patients in the Mirrors Group (Freysteinson, 2009b), but staff-patient interaction is prerequisite to helping them reorient and, indeed, the potential of mirrors to support patient interaction was integral to our hypothesis. Second, while the cluster randomisation was successful in creating groups of equal age, gender, operative risk, surgery type, and surgical priority, we cannot rule out a contribution of pre-existing cognitive differences to between-group results, as baseline cognitive testing was not carried out.
While not supporting effectiveness in reducing delirium, these pilot results suggest that use of a structured mirrors intervention as part of older cardiac surgical patients’ post-operative ICU care could result in improved recall of factual (but not delusional) ICU memories 12 weeks later. The intervention could provide a simple new means of improving outcomes in patients at risk of post-ICU anxiety and/or PTSD.
Author Contributions
KG designed and coordinated the study, collected the data, participated in data analysis, and drafted the manuscript; MP helped conceive of the study, design the intervention, and draft the manuscript; LS helped design the study, carried out data analysis, and critically revised the manuscript; PF helped design outcome measures, interpret the results, and draft the manuscript; TD helped design the study and draft the manuscript; AE helped design the intervention and outcome measures and draft the manuscript; AV helped design the study, supervised the conduct of the study, and helped draft and critically revised the manuscript. All authors read and approved the manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We are grateful to all ICU nursing and physiotherapy staff at Papworth Hospital.
Abbreviations
- ABC
activities-specific balance confidence
- AVR
aortic valve replacement
- CABG
coronary artery bypass graft
- CAM-ICU
confusion assessment method for the intensive care unit
- EQ-5D
European quality of life-5 dimensions
- EuroSCORE
European system for cardiac operative risk evaluation
- HRQoL
health-related quality of life
- ICC
intra-cluster correlation coefficient
- ICU
intensive care unit
- ICUMT
intensive care unit memory tool
- LOS
length of stay
- MVR
mitral valve replacement
- PTSD
post-traumatic stress disorder
- RASS
Richmond agitation-sedation scale
- REC
research ethics committee
- VAS
visual analog scale
Funding. The study was funded by the Dunhill Medical Trust (grant no. SA16/0212).
References
- Altschuler E. L., Wisdom S. B., Stone L., Foster C., Galasko D., Llewellyn D. M., et al. (1999). Rehabilitation of hemiparesis after stroke with a mirror. Lancet 353 2035–2036. 10.1016/S0140-6736(99)00920-4 [DOI] [PubMed] [Google Scholar]
- Brown C. H. (2014). Delirium in the cardiac surgical ICU. Curr. Opin. Anaesthesiol. 27 117–122. 10.1097/ACO.0000000000000061 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Corlett P. R., Murray G. K., Honey G. D., Aitken M. R., Shanks D. R., Robbins T. W., et al. (2007). Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions. Brain 130(Pt 9), 2387–2400. 10.1093/brain/awm173 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ely E. W., Inouye S. K., Bernard G. R., Gordon S., Francis J., May L., et al. (2001a). Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). JAMA 286 2703–2710. 10.1001/jama.286.21.2703 [DOI] [PubMed] [Google Scholar]
- Ely E. W., Margolin R., Francis J., May L., Truman B., Dittus R., et al. (2001b). Evaluation of delirium in critically ill patients: validation of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). Crit Care Med. 29 1370–1379. 10.1097/00003246-200107000-00012 [DOI] [PubMed] [Google Scholar]
- EuroQol Group (1990). EuroQol-a new facility for the measurement of health-related quality of life. Health Policy. 16 199–208. 10.1016/0168-8510(90)90421-9 [DOI] [PubMed] [Google Scholar]
- Freysteinson W. M. (2009a). The rapeutic mirror interventions: an integrated review of the literature. J. Holist. Nurs. 27 241–252. 10.1177/0898010109339527 [DOI] [PubMed] [Google Scholar]
- Freysteinson W. M. (2009b). The use of mirrors in critical care nursing. Crit. Care Nurs. Q. 32 89–93. 10.1097/CNQ.0b013e3181a27b3d [DOI] [PubMed] [Google Scholar]
- Girard T. D., Shintani A. K., Jackson J. C., Gordon S. M., Pun B. T., Henderson M. S., et al. (2007). Risk factors for post-traumatic stress disorder symptoms following critical illness requiring mechanical ventilation: a prospective cohort study. Crit. Care 11:R28 10.1186/cc5708 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gottesman R. F., Grega M. A., Bailey M. M., Pham L. D., Zeger S. L., Baumgartner W. A., et al. (2010). Delirium after coronary artery bypass graft surgery and late mortality. Ann. Neurol. 67 338–344. 10.1002/ana.21899 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hughes C. M. L., Tommasino P., Budhota A., Campolo D. (2015). Upper extremity proprioception in healthy aging and stroke populations, and the effects of therapist- and robot-based rehabilitation therapies on proprioceptive function. Front. Hum. Neurosci. 9:120 10.3389/fnhum.2015.00120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Inouye S. K. (2006). Delirium in older persons. N. Engl. J. Med. 354 1157–1165. 10.1056/NEJMra052321 [DOI] [PubMed] [Google Scholar]
- Inouye S. K., van Dyck C. H., Alessi C. A., Balkin S., Siegal A. P., Horwitz R. I. (1990). Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann. Intern. Med. 113 941–948. [DOI] [PubMed] [Google Scholar]
- Jones C., Bäckman C., Capuzzo M., Egerod I., Flaatten H., Granja C., et al. (2010). Intensive care diaries reduce new onset post traumatic stress disorder following critical illness: a randomised, controlled trial. Crit. Care 14:R168 10.1186/cc9260 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jones C., Griffiths R. D., Humphris G., Skirrow P. M. (2001). Memory, delusions, and the development of acute posttraumatic stress disorder-related symptoms after intensive care. Crit. Care Med. 29 573–580. 10.1097/00003246-200103000-00019 [DOI] [PubMed] [Google Scholar]
- Jones C., Humphris G., Griffiths R. D. (2000). Preliminary validation of the ICUM tool: a tool for assessing memory of the intensive care experience. Clin Intensive Care 11 251–255. 10.3109/tcic.11.5.251.255 [DOI] [Google Scholar]
- Koster S., Hensens A. G., van der Palen J. (2009). The long-term cognitive and functional outcomes of postoperative delirium after cardiac surgery. Ann. Thorac. Surg. 87 1469–1474. 10.1016/j.athoracsur.2009.02.080 [DOI] [PubMed] [Google Scholar]
- Milbrandt E. B., Deppen S., Harrison P. L., Shintani A. K., Speroff T., Stiles R. A., et al. (2004). Costs associated with delirium in mechanically ventilated patients. Crit. Care Med. 32 955–962. 10.1097/01.CCM.0000119429.16055.92 [DOI] [PubMed] [Google Scholar]
- Murray G. K., Corlett P. R., Fletcher P. C. (2010). The neural underpinnings of associative learning in health and psychosis: how can performance be preserved when brain responses are abnormal? Schizophrenia. Bull. 36 465–471. 10.1093/schbul/sbq005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nashef S. A., Roques F., Michel P., Gauducheau E., Lemeshow S., Salamon R. (1999). European system for cardiac operative risk evaluation (EuroSCORE). Eur. J. Cardiothorac. Surg. 16 9–13. 10.1016/S1010-7940(99)00134-7 [DOI] [PubMed] [Google Scholar]
- National Institute for Heath, and Care Excellence [NICE] (2010). Delirium: Diagnosis, Prevention, and Management. London: National Institute for Heath, and Care Excellence, 103. [Google Scholar]
- Page V. J., Ely E. W., Gates S., Zhao X. B., Alce T., Shintani A., et al. (2013). Effect of intravenous haloperidol on the duration of delirium and coma in critically ill patients (Hope-ICU): a randomised, double-blind, placebo-controlled trial. Lancet Respir. Med. 1 515–523. 10.1016/S2213-2600(13)70166-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Papke L. E., Wooldridge J. (1996). Econometric methods for fractional response variables with an application to 401(k) plan participation rates. J. Appl. Econometr. 11 619–632. [DOI] [Google Scholar]
- Powell L. E., Myers A. M. (1995). The Activities-specific Balance Confidence (ABC) scale. J. Gerontol. A Med. Sci. 50A, M28–M34. 10.1093/gerona/50A.1.M28 [DOI] [PubMed] [Google Scholar]
- Rudolph J. L., Jones R. N., Levkoff S. E., Rockett C., Inouye S. K., Sellke F. W., et al. (2009). Derivation and validation of a preoperative prediction rule for delirium after cardiac surgery. Circulation 119 229–236. 10.1161/CIRCULATIONAHA.108.795260 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sackey P. V., Martling C. R., Carlswärd C., Sundin O., Radell P. J. (2008). Short- and long-term follow-up of intensive care unit patients after sedation with isoflurane and midazolam–a pilot study. Crit. Care Med. 36 801–806. 10.1097/CCM.0B013E3181652FEE [DOI] [PubMed] [Google Scholar]
- Schneider J., Gopinath B., McMahon C., Teber E., Leeder S. R., Wang J. J., et al. (2012). Prevalence and 5-year incidence of dual sensory impairment in an older Australian population. Ann. Epidemiol. 22 295–301. 10.1016/j.annepidem.2012.02.004 [DOI] [PubMed] [Google Scholar]
- Schweickert W. D., Pohlman M. C., Pohlman A. S., Nigos C., Pawlik A. J., Esbrook C. L., et al. (2009). Early physical and occupational therapy in mechanically ventilated, critically ill patients: a randomised controlled trial. Lancet 373 1874–1882. 10.1016/S0140-6736(09)60658-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sessler C. N., Gosnell M. S., Grap M. J., Brophy G. M., O’Neal P. V., Keane K. A., et al. (2002). The richmond agitation-sedation scale: validity and reliability in adult intensive care patients. Am. J. Respir. Crit. Care Med. 166 1338–1344. 10.1164/rccm.2107138 [DOI] [PubMed] [Google Scholar]
- StataCorp. (2011). Stata Statistical Software: Release 12. College Station, TX: StataCorp LP. [Google Scholar]
- Sütbeyaz S., Yavuzer G., Sezer N., Koseoglu B. F. (2007). Mirror therapy enhances lower-extremity motor recovery and motor functioning after stroke: a randomized controlled trial. Arch. Phys. Med. Rehabil. 88 555–559. 10.1016/j.apmr.2007.02.034 [DOI] [PubMed] [Google Scholar]
- Tabak N., Bergman R., Alpert R. (1996). The mirror as a therapeutic tool for patients with dementia. Int. J. Nurs. Pract. 2 155–159. 10.1111/j.1440-172X.1996.tb00042.x [DOI] [PubMed] [Google Scholar]
- Vanderbilt University Medical Center (2014). Confusion Assessment Method for the ICU (CAM-ICU). The Complete Training Manual. Revised Edition. Nashville, TN: Vanderbilt University. [Google Scholar]
- Vanhaudenhuyse A., Schnakers C., Brédart S., Laureys S. (2008). Assessment of visual pursuit in post-comatose states: use a mirror. J. Neurol. Neurosurg. Psychiatry 79 223 10.1136/jnnp.2007.121624 [DOI] [PubMed] [Google Scholar]
- Zou G. (2004). A modified poisson regression approach to prospective studies with binary data. Am. J. Epidemiol. 159 702–706. 10.1093/aje/kwh090 [DOI] [PubMed] [Google Scholar]