Emergency Department Stay Associated Delirium in Older Patients.

BACKGROUND: Caring for older patients can be challenging in the Emergency Department (ED). A > 12 hr ED stay could lead to incident episodes of delirium in those patients. The aim of this study was to assess the incidence and impacts of ED-stay associated delirium.
METHODS: A historical cohort of patients who presented to a Canadian ED in 2009 and 2011 was randomly constituted. Included patients were aged ≥ 65 years old, admitted to any hospital ward, non-delirious upon arrival and had at least a 12-hour ED stay. Delirium was detected using a modified chart-based Confusion Assessment Method (CAM) tool. Hospital length of stay (LOS) was log-transformed and linear regression assessed differences between groups. Adjustments were made for age and comorbidity profile.
RESULTS: 200 records were reviewed, 55.5% were female, median age was 78.9 yrs (SD:7.3). 36(18%) patients experienced ED-stay associated delirium. Nearly 50% of episodes started in the ED and within 36 hours of arrival. Comorbidity profile was similar between the positive CAM group and the negative CAM group. Mean adjusted hospital LOS were 20.5 days and 11.9 days respectively (p<.03).
CONCLUSIONS: 1 older adult out of 5 became delirious after a 12 hr ED stay. Since delirium increases hospital LOS by more than a week, better screening and implementation of preventing measures for delirium could reduce LOS and overcrowding in the ED.

INTRODUCTION

Over the coming decades, the demographic trends will change the make up of the population served by Emergency Departments (ED). In 2011, the first members of the baby boomer generation turned 65 years old. By 2031, the proportion of the population over 65 will nearly double.( Undeniably, the “Silver Tsunami”( will have consequences on the health care provided in EDs.

Delirium is a mental disorder of acute onset with a fluctuating course, characterized by a disturbance in consciousness, attention, orientation, memory, thoughts, perception, and behaviour.( It is a frequent problem among older adults referred to the hospital from other acute and long-term facilities, with a prevalence ranging from 9.6% to 89%.( The incidence of ED-stay associated delirium refers to the onset of delirium in previously non-delirious patients treated in the ED. The literature on ED-stay associated delirium is scant compared to that of intensive care units. In 2013, Inouye et al.( published a systematic review on delirium in older adults in which they found no robust study reporting the incidence of delirium in the ED. Since this review, a few studies prospectively assessed the incidence of delirium in the ED have been published.( To our knowledge, none were conducted in a Canadian ED setting.

Therefore, we sought to establish the incidence and impact of delirium in admitted ED patients. Our objectives were 1) to determine the incidence of delirium in patients aged ≥ 65 with an ED length of stay (LOS) of over 12 hrs, and 2) to evaluate the impact of ED-stay associated delirium on the hospitalization LOS in a Canadian health-care setting.

METHODS

In 2013, a historical cohort study of 200 patients was constituted with a computerized random sampling program using a list of patients from the Emergency Department Information System patient tracking software. Patients admitted in 2009 and 2011 at the University-affiliated CHU de Québec—Hôpital de l’Enfant-Jésus were included if they were: 1) ≥ 65 yrs old, 2) non-delirious at arrival,( 3) exposed to the ED for a minimum of 12 hrs, and 4) admitted to any hospital ward. Patients were excluded if they: 1) were in a medically unstable condition that led to ICU or equivalent, 2) were residents or in transition to long-term care facilities (information found in their medical chart), and 3) had a history of severe dementia or psychiatric conditions such as schizophrenia and bipolar disorder. Delirium and hospitalization LOS data were collected using administrative benchmarks in the chart. LOS was calculated using the ED admission and hospital discharge date and time.

A health records review was done by medical students using a standardized data collection tool. Those students were trained by the study supervisor (ME) in order to ensure appropriate completion of the data collection tool. The following information was collected: 1) demographic data, 2) ED LOS and hospital LOS, 3) comorbidities (Charlson Comorbidity Index(), 4) number of medications at ED admission and new medications administered during ED stay according to Beers criteria,( and 5) main diagnosis during hospitalization.

Main Outcome

The presence of delirium was assessed using a chart-based CAM:( orientation, hallucinations, agitation, confusion, fluctuation, state of consciousness scale. Positive delirium episode were categorized as early onset (within 24 hrs after the required 12-hr ED exposition) or late onset (after 24 hrs of the 12-hr ED exposition).

Univariate and multivariate statistical analyses were performed in order to determine the incidence of delirium and its consequences. Hospital LOS was log-transformed and linear regression assessed differences between groups. Adjustments were made for age and comorbidity. In order to ensure that the use of the tool was standardized, inter-rater agreements were realized. Based on an alpha of 5%, 200 patients would allow 80% power for an estimated overall incidence proportion of 15% with 5% precision. Analyses were performed using SAS, version 9.4 (SAS Institute, Inc., Cary, NC).

The Comité d’éthique du CHU de Québec approved this study (project # 2014-1746). No consent was necessary as it was a retrospective chart review study. Patient records/information were anonymized prior to analysis.

RESULTS

The historical cohort characteristics are described in Table 1. 200 charts were randomly included over a two-year period. Up to 18% (n = 36) of patients became delirious, of whom 50% initiated their delirium within the first 24 hrs. 41.2% of the episodes started while patients were still in the ED.

Table 1

Patients’ clinical and demographic characteristics

Characteristic	Total N (%) (n=200)	No Delirium Episode N (%) (n=164)	Positive Delirium Episode ≤ 24 hrs N (%) (n=18)	Positive Delirium Episode > 24 hrs N (%) (n=18)	p-value
Age (years)
65–74	61 (30.5)	56 (34.1)	4 (22.2)	1 (5.6)	NS
75–84	88 (44.0)	70 (42.7)	8 (44.5)	10 (55.5)
≥85	51 (25.5)	38 (23.2)	6 (33.3)	7 (38.9)
Age (mean±SD)	78.9±7.3	78.2±7.4	81.5±7.2	82.8±5.4	0.011
Male	91 (45.5)	76 (46.3)	9 (50.0)	6 (33.3)	NS
Presence of New Delirium Episode	36 (18.0)	--	18 (50.0)	18 (50.0)	–
Medication Received in ED
Presence of one dose of opiate	63 (35.0)	46 (31.3)	10 (58.8)	7 (43.8)	NS
Presence of Any BEER criteria	6 (3.3)	5 (3.4)	0 (0.0)	1 (6.3)	NS
Final Diagnoses Category
Cardio-vascular (1)	33 (16.5)	29 (17.7)	3 (16.7)	1 (5.5)	–
Respiratory (2)	33 (16.5)	30 (18.3)	2 (11.1)	1 (5.5)
Gastro-intestinal (3)	22 (11.0)	21 (12.8)	0 (0.0)	1 (5.5)
Urinary tract disease (4)	11 (5.5)	9 (5.5)	2 (11.1)	0 (0.0)
Musculo-Skeletal (5)	6 (3.0)	2 (1.2)	3 (16.7)	1 (5.5)
Injury (6)	32 (16.0)	20 (12.2)	5 (27.8)	7 (38.9)
Psychiatry (7)	12 (6.0)	9 (5.5)	1 (5.5)	2 (11.1)
Neurology (8)	22 (11.0)	18 (11.0)	1 (5.5)	3 (16.7)
Metabolic (9)	5 (2.5)	5 (3.1)	0 (0.0)	0 (0.0)
Hematologic (10)	3 (1.5)	3 (1.8)	0 (0.0)	0 (0.0)
Infectious (13)	3 (1.5)	2 (1.2)	0 (0.0)	1 (5.5)
Tumor (14)	11 (5.5)	11 (6.7)	0 (0.0)	0 (0.0)
Other (15)	7 (3.5)	5 (3.1)	1 (5.5)	1 (5.5)
Comorbidities (Charlson Index)
Low (0)	30 (15.1)	26(16.0)	2 (11.1)	2 (11.1)	NS
Medium (1–2)	80 (40.2)	60 (36.8)	11 (61.1)	9 (50.0)
High (3–4)	60 (30.1)	51 (31.3)	4 (22.2)	5 (27.8)
Very High (≥ 5)	29 (14.6)	26 (16.0)	1 (5.6)	2 (11.1)
Deceased in Hospital	7 (3.5)	6 (3.7)	1 (5.6)	0 (0.0)	NS

Age distribution showed a slightly skewed distribution of ED-stay associated delirium. Out of the 36 delirious episodes recorded, 5 patients (13.8%) were 65–74 years old, 18 (50.0%) were 75–84 years old, and 13 (37.2%) were over 85 years old. Patients with a positive delirium episode had a longer median ED LOS compared to non-delirious patients, 34.3 hrs (IQ: 27.1–54.4) and 30.2 (21.8–47.6), respectively (p > .05). Patients with positive ED-stay associated delirium received more opioid-related medications in the ED.

ED-stay associated delirium significantly increases the median hospital mean LOS (Figure 1). Results of the increased hospital LOS were similar when stratified by an early onset of delirium (< 24 hrs) versus a late onset (> 24 hrs) (Figure 2). Median LOS was increased from 10.2 days (IR: 6.2–21.3) to 23.7 (10.9–49.7) in early onset group and 17.9 day (11.1–24.2) in late onset group after adjusting for age and comorbidities (p < .05).

FIGURE 1

Length of stay for incident delirium episode (n=200)

FIGURE 2

Length of stay for incident delirium episode: onset before or after 24 hrs (n=200)

Inter-observer agreement was high for the incidence of delirium (main outcome) with kappa greater than 0.6.

DISCUSSION

Since the systematic review by Inouye and colleagues, a few prospective studies have been published on the incidence of delirium in the ED.( Unfortunately, literature is scant on the incidence of ED-stay associated delirium and its potential impacts on hospital LOS, functional status, and unplanned ED returns in Canadian settings. The onset of such complication in the ED could influence hospital LOS( and reflect back on ED crowding.( This may have a negative impact on preventive ED interventions such as the “senior-friendly approach”.(

In 2012, Dr. Roger Wong, president of the Canadian Geriatrics Society stated: “Many patients, when they come to a hospital, they enter through the emergency department. That is their portal of entry. That is their first stop. The ED is a very busy place with a high turnover. It’s not an ideal place for recognizing, let alone treating, delirium.”( Emergency care will become even more important for older adults in the future and exposure to this environment could trigger complications such as delirium. This Canadian historical cohort study is a first attempt to measure the importance of ED-stay associated delirium.

Experts suggest that prevalent and incident delirium in acute care hospitals may increase hospital stays by seven days( which could then have a significant impact on ED overcrowding and health-care costs. In 2003, McCusker et al.( followed in-patients with mostly prevalent and fewer incident delirium episodes. They observed that the latter added an average of 7.8 days to each hospital LOS. We had similar results with an increase of hospital LOS by nearly nine days in the delirium group.

Unrecognized delirium is a well-documented problem. Previous studies conducted in various clinical settings (including EDs and acute care hospitals) have revealed that over 50% of cases are left undetected.( According to Han et al.( the situation is even worse, as approximately 75% of cases are missed in the ED. Lack of knowledge about delirium and its clinical importance has been identified as a factor associated with non-detection of delirium by nurses.(

Older ED patients are particularly vulnerable to delirium. In 1993, Inouye et al.( demonstrated that an ED stay of ≥ 12 hrs was one of the strongest independent predictors of the onset of subsequent delirium in older patients. Bo et al.( also found a strong association between an ED stay of > 10 hrs and the onset of delirium in their cohort of patients aged 75 and over. However, their study did not assess the impact of delirium on the patient’s overall hospital length of stay. Their patients were older than our cohort (median age 82.8 (79.2–87.0)). The tool they used in order to detect delirium was the 4AT,( which obtained a sensitivity of 89.7% and a specificity of 84.1% for delirium when administered by a geriatrician, but was not validated within the ED context. Han et al.( had found similar results in their study including elderly patients who were in the ED for less than 12 hrs. However, their population is not representative of the actual ED context, since many seniors stay in the ED for long periods of time and those patients are more at risk of developing a delirium.(

An American study aimed to determine if delirium screening by triage nurses would decrease unplanned ED returns.( The paper provides no descriptive data on the population other than that they are all aged 65 and over. The tools used for delirium screening were the Richmond Assessment Sedation Scale (RASS),( combined with the brief Confusion Assessment Method (bCAM).( To our knowledge, no other study has evaluated the performance of the combination of those two tools in the detection of delirium. A single assessment using a modified version of the RASS alone has shown a sensitivity of only 64% and a specificity of 93% for the detection of delirium.( However, a more recent study found that the RASS had a sensitivity of 84% and a specificity of 87.6% for the detection of delirium when administered by an RA.( The bCAM by itself had a sensitivity of 78% and a specificity of 96.9% when administered by an RA.(

Our study presents some limitations. The retrospective nature may have underestimated the incidence of delirium since professionals may omit to recognize and report onset of delirium, as previously reported.( This under detection would have underestimated our delirium incidence and could suggest that more than one in five patients could have ED-stay associated delirium. Similarly, the chart-based CAM tool has been shown to be less sensitive than in-person delirium detection tools. The sensitivity was reported at 74% and a specificity at 83% compared to in-person interview with the CAM.( Again, this could have underestimated our ED-stay associated delirium incidence. It is also possible that some delirium cases were mixed with dementia; this would have overestimated our results. The chart-based CAM has shown a high rate of misclassification for patients with high baseline delirium risk, severe illness, and dementia.( This may have overestimated our delirium incidence. However, patients with dementia were excluded from our cohort and only 12 patients had a Charlson Index score that was classified as high and very high over a total of 89 patients within those two categories.

The secondary outcome of hospital LOS could have suffered from lack of adjustment. We adjusted for non-modifiable risk factors of delirium, such as age and comorbidities. However, our sample prevents us from adjusting for final diagnosis. This could have overestimated the LOS impact, although our results are similar to previous in-patient studies.(

CONCLUSION

After a 12-hr exposure to the ED, almost one in five patients aged over 65 waiting to be admitted to ward develop a delirium, half of which occur within the first day after exposition. ED-stay associated delirium increases the hospitalization LOS by approximately one week. Future senior-friendly approaches in the ED may help reduce the burden of delirium and reduce ED overcrowding.