Association of natural light exposure and delirium according to the presence or absence of windows in the intensive care unit

Hyo Jin Lee; Eunhye Bae; Hong Yeul Lee; Sang-Min Lee; Jinwoo Lee

doi:10.4266/acc.2021.00556

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Original Article Neurology Association of natural light exposure and delirium according to the presence or absence of windows in the intensive care unit: Hyo Jin Lee¹, Eunhye Bae¹, Hong Yeul Lee², Sang-Min Lee^1,2,3, Jinwoo Lee^1,3; Acute and Critical Care 2021;36(4):332-341.
DOI: https://doi.org/10.4266/acc.2021.00556
Published online: November 26, 2021

¹Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea

²Department of Critical Care Medicine, Seoul National University Hospital, Seoul, Korea

³Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea

Corresponding author: Jinwoo Lee Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea Tel: +82-2-2072-7593 Fax: +82-2-762-9662 E-mail: realrain7@snu.ac.kr

• Received: May 9, 2021 • Revised: August 5, 2021 • Accepted: August 7, 2021

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
KEY MESSAGES
NOTES
SUPPLEMENTARY MATERIALS
REFERENCES

Abstract

Background
Patients in the intensive care unit (ICU) have increased risks of delirium, which is associated with worse outcomes. As pharmacologic treatments for delirium are ineffective, prevention is important. Nonpharmacologic preventive strategies include exposure to natural light and restoring circadian rhythm. We investigated the effect of exposure to natural light through windows on delirium in the ICU.
Methods
This retrospective cohort study assessed all patients admitted to the medical ICU of a university-affiliated hospital between January and June 2020 for eligibility. The ICU included 12 isolation rooms, six with and six without windows. Patients with ICU stays of >48 hours were included and were divided into groups based on their admission to a single room with (window group) or without windows (windowless group). The primary outcome was the cumulative incidence of delirium. The secondary outcomes were the numbers of delirium- and mechanical ventilation-free days, ICU and hospital length of stay, and in-ICU and 28-day mortalities.
Results
Of the 150 included patients (window group: 83 [55.3%]; windowless group: 67 [44.7%]), the cumulative incidence of delirium was significantly lower in the window group than in the windowless group (21.7% vs. 43.3%; relative risk, 1.996; 95% confidence interval [CI], 1.220–3.265). Other secondary outcomes did not differ between groups. Admission to a room with a window was independently associated with a decreased risk of delirium (adjusted odds ratio, 0.318; 95% CI, 0.125–0.805).
Conclusions
Exposure to natural light through windows was associated with a lower incidence of delirium in the ICU.
Keywords: delirium; intensive care unit; light

INTRODUCTION

Delirium is common in intensive care units (ICUs) [1,2] and is characterized by a disruption in cognition and attention with a change in awareness and fluctuating course. Delirium in the ICU is associated with worse outcomes such as prolonged hospital length of stay (LOS) [1,3], a longer duration of mechanical ventilation, and increased risks of reintubation and cognitive impairment in survivors [4], as well as increased mortality and morbidity [5-7].

Delirium is caused by a variety of factors. The risk factors can be categorized as non-modifiable and potentially modifiable [8]. Major host factors associated with delirium in the ICU are old age [6,9] which is one of the most important risk factors, illness severity, previous dementia, malnutrition, past coma history, and emergency surgery or trauma prior to ICU admission [10]. Iatrogenic and other possibly modifiable factors are mainly responsible for environmental variables including the absence of visible daylight, immobility, isolation, or physical restraints. [8,9]. Benzodiazepines are also an independent contributing factor for the occurrence of delirium among the sedatives during ICU care [9,10].

Whether intensive care environments affect the progression of delirium and its outcomes remains poorly understood. Most ICUs use non-pharmacological methods, including multicomponent ABCDEF bundles (i.e., awakening and breathing coordination, delirium monitoring/management, and early exercise/mobility [ABCDE]), to reduce or prevent delirium [11]. Improvements in bundle adherence were substantially associated with lower mortality rates and more ICU days free of coma or delirium [12-14]. However, there is a paucity of data on the relationship between light exposure and delirium in the ICU. Patients with delirium in the ICU have disturbed sleep-wake cycles and circadian rhythms because due to constant exposure to artificial light [15,16]. This may disturb the natural sleep-wake cycle and make patients more vulnerable to delirium [15,17]. A recent single-center, before-after study showed a reduction in the incidence and duration of delirium in patients admitted to a new ICU room with higher exposure to light through windows compared to the old ICU with lower light intensity [18]. In comparison, a multicenter randomized control trial found that, compared to standard lighting, the application of high-intensity dynamic light did not reduce the overall incidence of delirium [19].

The present study investigated the effect of natural light exposure through windows on the incidence of delirium in critically ill patients admitted to single rooms in the ICU.

MATERIALS AND METHODS

Statement of Ethics

This study was approved by the Institutional Review Board of Seoul National University Hospital (IRB No. 2012-155-1183). The informed consent from participants was waived or not required due to the retrospective study.

Study Design and Participants

This retrospective, observational study was conducted in the 12-bed medical ICU (MICU) of Seoul National University Hospital between January 1, 2020, and June 30, 2020. Among the 12 isolation rooms, six had windows and six did not. There was no admission policy regarding room allocation, and patients were typically assigned to the “first available room.”

Patients with more than 2 days of MICU stay were eligible for study inclusion. The patients were divided into two groups depending on whether they were admitted to a room with (window group) or without windows (windowless group). Patients were excluded if they were transferred from other ICUs, had acute brain injury, or had preexisting conditions known to interfere with delirium assessment (e.g., blindness, deafness, and overt dementia).

Delirium Assessment

The level of sedation and agitation of each patient was monitored using the Richmond agitation sedation scale (RASS) six times per day by trained bedside nurses. Every patient in the MICU was screened for delirium once a day by the attending nurse using CAM-ICU. Delirium was diagnosed based on the presence of one or more of the following conditions: (1) positive Confusion Assessment Method for the ICU (CAM-ICU) findings, (2) diagnosis made by physicians from the department of mental health, (3) administration of antipsychotics to treat delirium, and (4) clinical suspicion by the attending physician. The number of days with delirium was counted cumulatively during ICU stay. A day was categorized as “delirium and coma-free” if the patient was alive without delirium and not in a coma from any cause. Patients who died within 14 days of ICU admission were recorded as having 0 days free of delirium and coma. Any day with a positive RASS or a pharmacologic intervention with antipsychotics to treat hyperactive symptoms was considered to be a day of agitation.

ICU Environment

All six windowed rooms face south. The patient’s head is placed towards the window side and the details of the ICU room is presented in Supplementary Figures 1 and 2. The window size was 140×220 cm in width and length respectively. Illuminance of ambient and artificial light levels were measured in each ICU rooms at 10:00 AM, 2:00 PM, 6:00 PM for 2 consecutive days at the patient's eye level (reflective measurement) (supplementary table 1). The digital light meter used was LUX HiTESTER 3423 manufactured by HIOKI (Koizumi, Ueda, Japan). The shades on the windows were always left open and the artificial lighting was always turned on in both rooms. The brightness was adjusted only when examinations requiring dark lighting such as ultrasound were performed or during the night hours.

Variables and Their Definitions

The covariates in this study included age, sex, body mass index, history of tobacco smoking, alcohol abuse, comorbidities (e.g., hypertension, diabetes mellitus, chronic liver disease, chronic kidney disease, cardiovascular disease, cerebrovascular disease, cognitive disorder, and chronic obstructive pulmonary disease), and history of medication use (e.g., antipsychotics, benzodiazepine, other sedatives, and steroid).

The cause of ICU admission was determined based on the following diagnoses: respiratory failure, renal replacement therapy, cardiogenic failure, postoperative care, sepsis, hypovolemic shock, and other (e.g., close monitoring or physician’s concern).

The severity of illness at ICU admission was assessed using the Acute Physiology and Chronic Health Evaluation (APACHE) II score, Simplified Acute Physiology Score (SAPS) II, and Sequential Organ Failure (SOFA) score. The use of opioids (e.g., remifentanil, morphine, and fentanyl) and sedatives (e.g., midazolam, propofol, and dexmedetomidine) during each patient’s stay in the MICU was also recorded.

Outcome Variables

The primary outcome was the cumulative incidence of delirium, defined as the presence of delirium during the ICU stay. The secondary outcomes were the number of delirium and coma-free days, the incidence of agitation, number of mechanical ventilation-free days, ICU and hospital LOS, and in-ICU and 28-day mortalities.

Statistical Analysis

Data are presented as average±standard error, median (interquartile range) or numbers (percentage) for continuous and categorical variables, respectively. Student t-tests were used to study independent samples of continuous, normally distributed data, while Mann-Whitney U-tests were used to assess continuous, skewed data. Chi-square tests were used to analyze categorical data. We used multivariate logistic regression analysis to study the association between the two groups and the occurrence of delirium. The following variables were selected as potential confounding factors: age, alcohol abuse, mechanical ventilation, duration of mechanical ventilator apply, self-extubation, use of vasoactive agents, duration of midazolam administration, duration of propofol administration, duration of dexmedetomidine administration and clinically relevant factors associated with delirium in the univariate analysis (P<0.05) were entered into a multivariate model (Supplementary Table 2).

Kaplan-Meier survival curves were used to estimate the probability of delirium events and compared using log-rank tests. Cox proportional hazard regression models were constructed to calculate adjusted hazard ratios (HRs) and their 95% confidence intervals (CIs) for the association between the factors and the time to first delirium event, adjusted for the confounders mentioned above.

RESULTS

Between January 2020 and June 2020, 208 patients were admitted to the MICU, 150 of whom (windowless group, n=67; window group, n=83) were included after excluding 58 patients. Among the 58 excluded patients, 51 had a MICU LOS of less than 48 hours, and seven patients were transferred from other ICUs (surgical ICU, emergency ICU, cardiac care unit). The baseline characteristics of the included patients are presented in Table 1. The baseline characteristics, including age, sex, and severity scores, were similar between the windowless and the window groups. There were more antipsychotic use (12% vs. 3%, P=0.042) and less alcohol abuse (6% vs. 10.7%, P=0.033) in the window group compared to the windowless group. Most comorbidities were distributed similarly between the two groups, although there were more patients with chronic liver disease in the windowless group compared to the window group (19.4% vs. 8.4%, P=0.049). The most common cause for ICU admission was respiratory failure, followed by cardiogenic failure. The majority of vasoactive drugs used throughout the ICU stay were comparable between the two groups but the number of patients treated with epinephrine were higher in the windowless group.

Most of the enrolled patients were administered opioids (80%) and sedatives (83.3%) during their stay in the ICU. The most commonly administered opioid was remifentanil followed by fentanyl, while the most commonly administered sedative was dexmedetomidine followed by midazolam. There was no difference in opioid and sedative exposures between the groups (Table 2).

The main outcomes are listed in Table 3. The cumulative incidence of delirium throughout the whole cohort was 31.3% (47/150 patients), and the average duration of delirium and coma-free days in the whole cohort was 1.8 days. The cumulative incidence of delirium was significantly lower in the window group compared to that in the windowless group (21.7% vs. 43.3%; relative risk, 1.996; 95% CI, 1.220–3.265). The duration of delirium and coma-free days did not differ significantly between the two groups. The overall ICU and 28-day mortality rates were 20% and 27.4%, respectively, with no significant differences between the groups. The total ICU and hospital LOS were 10.5 and 49 days, respectively. Other secondary outcomes, including the number of mechanical ventilation-free days, ICU and hospital LOS, and mortality and 28-day mortality rates did not differ between the groups.

When comparing 47 patients with delirium, duration of delirium, the time of delirium onset after ICU admission and patients with agitation (RASS ≥+2) at the time of diagnosis were comparable between the two groups (Table 4). Diagnosis of delirium was mostly made by the attending physician (78.7%), followed by the administration of delirium medications (74.5%) (Supplementary Table 3).

Among the 47 patients with delirium, 35 (74.5%) were treated with antipsychotics during their ICU stay (Supplementary Table 4). Compared to the window group, patients in the windowless group were more likely to be administered antipsychotics for agitation episodes (82.8% vs. 61.1%) (Supplementary Table 4). Kaplan-Meier survival curves were used to estimate the time to first delirium event in the ICU and were compared using log-rank tests (Figure 1). There was no significant difference in the median onset time of the first delirium between the two groups. In Cox proportional regression analysis, admission to a room with windows was also not associated with a decreased risk of the time to first delirium event (adjusted HR, 0.526; 95% CI, 0.248–1.114) (Figure 2). In multivariate logistic regression analysis, admission to a room with windows was independently associated with a decreased risk of delirium (adjusted odds ratio, 0.318; 95% CI, 0.125–0.805) (Table 5).

DISCUSSION

This retrospective study consisted of patients with ICU stay for at least two consecutive days who were assigned single isolated room on either with window or without of the MICU. The patients staying in rooms without a window experienced a higher incidence of delirium during their hospitalization. Additionally, admission to a windowed room appears to prevent occurrence of delirium.

Although circadian rhythms among critically ill patients are severely disrupted [20], the mechanism or pathogenesis of the association between light exposure and delirium remains poorly understood. One of the important mechanism of disrupted circadian rhythms in critically ill patients is decreased ascending reticular activating system (ARAS) activity [21]. Also, abnormalities in the functional connectivity of part of the ARAS have been observed during episodes of delirium [22,23]. Acetylcholine is the major neurotransmitters involved in activity of the ARAS function and is responsible for the increased levels of glutamate, dopamine, and norepinephrine [24,25] and decreased levels of serotonin and gamma-aminobutyric acid (GABA) [26,27] in the brain in the pathogenesis of delirium. In delirium, the loss of acetylcholine projections and dopaminergic overproduction from the ARAS result in disrupted alertness and attention compared to the normal circadian distribution of sleep-wakefulness conditions [28-30]. An increased synthesis of endogenous GABA agonists and stimulation by exogenous GABA agonists have been observed in delirium development [31,32]. Both benzodiazepines and propofol alter the effects of GABA in critically ill patients [33], either by typically increasing the total sleep time by prolonging stage 2 non-rapid eye movement (NREM), while suppressing REM [34], respectively, thus exacerbating sleep architecture [35]. The sleep-wake cycle is also affected by melatonin deficiency and irregular secretion. In critically ill patients, the normal response of melatonin secretion to shifts in light and darkness is disrupted, causing dysregulation of the melatonin secretion cycle or a change in the circadian clock phase in the suprachiasmatic nucleus [36].

Previous studies have suggested several possible explanations for the effects of exposure to natural light on delirium, as follows; First, emerging research suggests that circadian-rhythm-restoring interventions may improve health outcomes, including lower delirium rates, among critically ill patients. In a prospective before-after study, the incidence of delirium was lower compared with the new single-room ICU with daylight exposure and the ward-ICU without daylight exposure [18]. A retrospective study of postoperative ICU patients who underwent cardiac surgery [24] showed a higher incidence of delirium in spaces with wall-to-wall windows in a subgroup analysis of the age group 65 years and older than in a windowless space. The average age of all patients in our study was 66.7 years old, which is thought to have contributed to the development of delirium. Exposure to bright light, consolidated dark times at night, or melatonin agonists are common types of chronotherapy [37]. Although two studies from Japan showed that artificial light therapy improved delirium prevalence or sleep and may have a role in preventing delirium [38,39], these effects require further validation; moreover, well-designed studies comparing the effect of natural light on delirium are lacking. A recent prospective study [40] and retrospective studies [41-43] were unable to demonstrate improved outcomes, including delirium associated with windowed ICU rooms. However, a lower mortality rate and shorter LOS were observed in patients admitted to the bright room of a cardiac ICU compared to those in patients admitted to a dark room [44]. Second, disorientation, loss of memory, hallucinations and delusions are more common in the windowless unit compared to the unit with windows and natural light [45]. Third, seasonal affective disorder and various depressive illness which been shown to be responsive to phototherapy [44,46] may also influence the development of delirium. Fourth, sensory deprivation is one of the risk factors of delirium and the presence of windows is associated with decrease in the occurrence of postoperative delirium by preventing sensory deprivation [26,28]. Furthermore, windows and light may also be associated with reduction in physical stress and pain shown in patients undergoing elective spine surgery [47]. Patients staying on the bright side not only required 22% fewer opioid analgesics during their hospitalization, but also reported significantly less perceived stress.

In the present study, admission to a room with windows reduced the incidence of delirium. After adjustment of confounding variables, this result was still significant. As far as we know, this is the first study to show this association in a MICU environment. However, no differences in delirium and coma-free days were observed between the windowless and window group. There are two possible explanations. Although clinically insignificant, the duration of coma days was longer in the window group compared with windowless group (5.7±1.0 days vs. 4.5±0.9 days, P=0.401). Also, 14-day mortality was slightly higher in the window group compared to the windowless group (16.9% vs. 13.4%, P=0.562) and as defined in our study, days without delirium and coma were counted as zero if death occurred within 14 days of admission to the ICU.

This study has several limitations. First, as this study only included patients from the MICU of a university-affiliated hospital, these results may not be generalizable to other critically ill patients. However, we believe that this study population of patients with a high risk of delirium may benefit most from measures to prevent delirium. It is important to investigate the value of noninvasive, nonpharmacologic measures to prevent delirium, such as natural light, in high-risk populations. Second, patients were screened for delirium once a day using CAM-ICU. Considering the intraday variability of delirium and changes in the patient's condition there is a possibility that delirium may have been underestimated. Therefore, delirium was diagnosed by comprehensively evaluating composite factors (including three factors along with CAM-ICU) to overcome this limitation. Several studies have also used additional criteria for assessment of delirium including treatment with haloperidol [48], evaluation of medical and nursing charts or documentation for keywords associated with delirium [13,18]. Third, due to the observational study design, it is difficult to discern the exact mechanism of the effect of windows in an ICU room. This study is not able to distinguish the effect of nature of the light, regularity of light exposure, or continuous sensory input. Fourth, there were also disparities between the two groups. Previous antipsychotic use was more frequent in the window group and there were more patients with chronic liver disease in the windowless group. It is unclear how these differences affected the outcome. However, there were no differences in other important known risk factors affecting delirium, such as age and illness severity. Because all patients were admitted to isolation rooms, noise exposure was minimized. During the night time, the lights are dimmed to half of its brightness unless the patient is in a critical condition. Moreover, multicomponent ABCDEF bundles has been implemented in our ICU to reduce or prevent delirium. There were no changes in doctor-patient or nurse-patient ratios, nor in practice or protocols for sedation, analgesia, and the arrangement of medical equipment during the study period. Exposure to natural light through windows was associated with a decreased risk of delirium as compared to admission to a single windowless room.

KEY MESSAGES

▪ We investigated the effect of exposure to natural light through windows on delirium in the intensive care unit (ICU).

▪ This retrospective cohort study, the cumulative incidence of delirium was significantly lower in the window group compared to that in the windowless group (21.7% vs. 43.3%; relative risk, 1.996; 95% confidence interval, 1.220–3.265).

▪ Exposure to natural light through windows was associated with a lower incidence of delirium in the ICU.

NOTES

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

AUTHOR CONTRIBUTIONS

Conceptualization: HJL, JL. Data curation: HJL, EB. Formal analysis: HJL, JL. Methodology: HJL, HYL, JL, SML. Project administration: HJL, JL. Visualization: HJL, JL. Writing–original draft: HJL, JL. Writing–review & editing: HJL, JL.

SUPPLEMENTARY MATERIALS

Supplementary materials can be found via https://doi.org/10.4266/acc.2021.00556.

Supplementary Table 1.

Reflective measurement (lux)

acc-2021-00556-suppl1.pdf

Supplementary Table 2.

Univariable logistic regression analysis

acc-2021-00556-suppl2.pdf

Supplementary Table 3.

Composite factors for assessment of delirium

acc-2021-00556-suppl3.pdf

Supplementary Table 4.

Treatment of delirium in the ICU

acc-2021-00556-suppl4.pdf

Supplementary Figure 1.

The layout of the medical intensive unit.

acc-2021-00556-suppl5.pdf

Supplementary Figure 2.

Pictures of rooms with and without windows.

acc-2021-00556-suppl6.pdf

Figure 1.

Unadjusted time to first delirium event. IQR: interquartile range.

Figure 2.

Cox-proportional hazard analysis. HR: hazard ratio; CI: confidence interval. ^aVariables associated in univariate analysis and tested in the multivariate model: age, alcohol abuse, hypoxic brain injury, medical history of steroid use, mechanical ventilation, duration of mechanical ventilator apply, self-extubation, vasoactive agents, duration of remifentanil administration, duration of midazolam administration, duration of propofol administration, and duration of dexmedetomidine administration.

Table 1.

Baseline patient characteristics

Variable	All (n=150)	Windowless (n=67)	Window (n=83)	P-value
Age (yr)	69 (60–77)	69 (55–77)	69 (60–78)	0.979
Body mass index (kg/m²)	21.7±0.4	21.6±0.5	21.7±0.5	0.727
Male	87 (58.0)	33 (49.3)	54 (65.1)	0.051
Smoking				0.110
Ever	54 (36.0)	18 (26.9)	36 (43.4)
Never	79 (52.7)	40 (59.7)	39 (47.0)
Alcohol abuse	25 (16.7)	16 (10.7)	9 (6.0)	0.033
Underlying disease
Hypertension	71 (47.3)	28 (41.8)	43 (51.8)	0.222
Diabetes mellitus	66 (44.0)	29 (43.3)	37 (44.6)	0.874
Chronic liver disease	20 (13.3)	13 (19.4)	7 (8.4)	0.049
Chronic kidney disease	46 (30.7)	20 (29.9)	26 (31.3)	0.846
Cardiovascular disease	47 (31.3)	9 (28.4)	28 (33.7)	0.480
Cerebrovascular disease	14 (9.3)	5 (7.5)	9 (10.8)	0.479
Cognitive disorder	4 (2.7)	1 (1.5)	3 (3.6)	0.423
Chronic obstructive pulmonary disease	4 (2.7)	2 (3.0)	2 (2.4)	0.828
Medical history
Antipsychotics	12 (8.0)	2 (3.0)	10 (12.0)	0.042
Benzodiazepine	15 (10.0)	7 (10.4)	8 (9.6)	0.870
Sedative	13 (8.7)	3 (4.5)	10 (12.0)	0.101
Steroid	44 (29.3)	21 (31.3)	23 (27.7)	0.627
ICU admission diagnosis
Respiratory failure	96 (64.0)	44 (65.7)	52 (62.7)	0.702
Renal replacement therapy	27 (18.0)	13 (19.4)	14 (16.9)	0.688
Cardiogenic failure	28 (18.7)	13 (19.4)	15 (18.1)	0.835
Postoperative care	2 (1.3)	0	2 (2.4)	0.201
Sepsis	26 (17.3)	10 (14.9)	16 (19.3)	0.484
Hypovolemic shock	2 (1.3)	2 (3.0)	0	0.113
Others^a	16 (10.7)	7 (10.4)	9 (10.8)	0.938
Mechanical ventilation	121 (80.7)	51 (76.1)	70 (84.3)	0.205
Vasoactive agents	80 (53.3)	42 (28.0)	38 (25.3)	0.039
Norepinephrine	49 (32.7)	22 (32.8)	27 (32.5)	0.968
Epinephrine	16 (10.7)	15 (22.3)	1 (1.2)	<0.001
Dopamine	28 (18.7)	13 (19.4)	15 (18.1)	0.835
Dobutamine	4 (2.7)	1 (1.5)	3 (3.6)	0.423
Vasopressin	28 (18.7)	12 (17.9)	16 (19.3)	0.831
APACHE Ⅱ score	19.5 (15–27)	19 (15–26)	21 (15–28)	0.476
SOFA score	9 (6–12)	9 (6–11)	9 (6–13)	0.302
SAPS II	45.9±1.7	45.1±2.3	46.6±2.4	0.656

Values are presented as median (interquartile range), mean±standard error, or number (%).

ICU: intensive care unit; APACHE: Acute Physiology and Chronic Health Evaluation; SOFA: Sepsis Organ Failure Assessment; SAPS: Simplified Acute Physiology Score.

^aOthers: closed observation, physician's concern, etc.

Table 2.

Opioid and sedative use during intensive care unit stay

Variable	All (n=150)	Windowless (n=67)	Window (n=83)	P-value
Opioid	120 (80)	50 (74.6)	70 (84.3)	0.139
Remifentanil
Patient	101 (67.3)	42 (62.7)	59 (71.1)	0.276
Cumulative duration (day)	3 (0–7)	2 (0–7)	3 (0–7)	0.747
Morphine
Patient	37 (18.0)	8 (11.9)	29 (22.9)	0.083
Cumulative duration (day)	0	0	0 (0–1)	0.214
Fentanyl
Patient	47 (31.3)	23 (34.3)	24 (28.9)	0.477
Cumulative duration (day)	0 (0–1)	0 (0–1)	0 (0–1)	0.369
Sedative	125 (83.3)	54 (80.6)	71 (85.5)	0.419
Midazolam
Patient	80 (53.3)	38 (56.7)	42 (50.6)	0.456
Cumulative duration (day)	1 (0–2)	1 (0–1)	1 (0–3)	0.180
Propofol
Patient	73 (48.7)	28 (41.8)	45 (54.2)	0.130
Cumulative duration (day)	0 (0–4.25)	0 (0–4)	1 (0–5)	0.891
Dexmedetomidine
Patient	116 (77.3)	48 (71.6)	68 (81.9)	0.135
Cumulative duration (day)	3 (1–7)	2 (0–6)	3 (1–7)	0.253

Values are presented as number (%) or median (interquartile range).

Table 3.

Main outcomes

Variable	Windowless (n=67)	Window (n=83)	P-value
Primary outcome
Delirium incidence	29 (43.3)	18 (21.7)	0.005
Secondary outcome
Delirium and coma-free day	0 (0–2)	0 (0–3)	0.105
Agitation	7 (10.4)	6 (7.2)	0.486
Mechanical ventilation	51 (76.1)	70 (84.3)	0.205
Ventilation-free days	2 (0-5)	2 (0–5)	0.615
Duration of mechanical ventilation	3 (0–7)	4 (2–7)	0.718
ICU LOS (day)	6 (3–11)	4 (6–12)	0.955
Hospital LOS (day)	36 (18–76)	37 (20–77)	0.670
ICU mortality	15 (22.4)	15 (18.1)	0.511
28-Day mortality	16 (23.9)	25 (30.1)	0.394

Values are presented as number (%) or median (interquartile range).

ICU: intensive care unit; LOS: length of stay.

Table 4.

Delirium-related characteristics of both groups

Variable	All (n=150)	Windowless (n=67)	Window (n=83)	P-value
14-Day mortality	23 (15.3)	9 (13.4)	14 (16.9)	0.562
Duration of delirium (day)	1.6±0.3	2.2±0.5	1.2±0.4	0.125
Delirium and coma-free day	1.8±0.3	1.4±0.3	2.1±0.4	0.151
Unavailable and coma day	5.2±0.7	4.5±0.9	5.7±1.0	0.401
ICU LOS (day)	10.5±1.0	10.5±1.4	10.6±1.4	0.955
Onset of delirium after ICU admission (day)	1.7±0.4	2.8±0.8	0.8±0.3	0.016
Patients with RASS ≥+2 at the time of diagnosis^a	20/47 (42.6)	12/29 (41.4)	8/18 (44.4)	0.016

Values are presented as number (%) or mean±standard error.

ICU: intensive care unit; LOS: length of stay; RASS: Richmond agitation sedation scale.

^aPercentages were calculated in patients diagnosed with delirium.

Table 5.

Factors associated with the incidence of delirium, multivariate logistic regression

Variable	Coefficient	Adjusted odds ratio^a	P-value
Admission to a window room	–1.147	0.318 (0.125–0.805)	0.016

^aVariables associated in univariate analysis and tested in the multivariate model and clinically relevant: age, alcohol abuse, hypoxic brain injury, medical history of steroid use, mechanical ventilation, duration of mechanical ventilator apply, self-extubation, vasoactive agents (norepinephrine, epinephrine, dopamine, dobutamine, vasopressin), duration of remifentanil administration, duration of midazolam administration, duration of propofol administration, and duration of dexmedetomidine administration.

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Association of natural light exposure and delirium according to the presence or absence of windows in the intensive care unit

Acute Crit Care. 2021;36(4):332-341. Published online November 26, 2021

DOI: https://doi.org/10.4266/acc.2021.00556

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Figure

Association of natural light exposure and delirium according to the presence or absence of windows in the intensive care unit

Figure 1. Unadjusted time to first delirium event. IQR: interquartile range.

Figure 2. Cox-proportional hazard analysis. HR: hazard ratio; CI: confidence interval. aVariables associated in univariate analysis and tested in the multivariate model: age, alcohol abuse, hypoxic brain injury, medical history of steroid use, mechanical ventilation, duration of mechanical ventilator apply, self-extubation, vasoactive agents, duration of remifentanil administration, duration of midazolam administration, duration of propofol administration, and duration of dexmedetomidine administration.

Figure 1.

Figure 2.

Association of natural light exposure and delirium according to the presence or absence of windows in the intensive care unit

Variable	All (n=150)	Windowless (n=67)	Window (n=83)	P-value
Age (yr)	69 (60–77)	69 (55–77)	69 (60–78)	0.979
Body mass index (kg/m²)	21.7±0.4	21.6±0.5	21.7±0.5	0.727
Male	87 (58.0)	33 (49.3)	54 (65.1)	0.051
Smoking				0.110
Ever	54 (36.0)	18 (26.9)	36 (43.4)
Never	79 (52.7)	40 (59.7)	39 (47.0)
Alcohol abuse	25 (16.7)	16 (10.7)	9 (6.0)	0.033
Underlying disease
Hypertension	71 (47.3)	28 (41.8)	43 (51.8)	0.222
Diabetes mellitus	66 (44.0)	29 (43.3)	37 (44.6)	0.874
Chronic liver disease	20 (13.3)	13 (19.4)	7 (8.4)	0.049
Chronic kidney disease	46 (30.7)	20 (29.9)	26 (31.3)	0.846
Cardiovascular disease	47 (31.3)	9 (28.4)	28 (33.7)	0.480
Cerebrovascular disease	14 (9.3)	5 (7.5)	9 (10.8)	0.479
Cognitive disorder	4 (2.7)	1 (1.5)	3 (3.6)	0.423
Chronic obstructive pulmonary disease	4 (2.7)	2 (3.0)	2 (2.4)	0.828
Medical history
Antipsychotics	12 (8.0)	2 (3.0)	10 (12.0)	0.042
Benzodiazepine	15 (10.0)	7 (10.4)	8 (9.6)	0.870
Sedative	13 (8.7)	3 (4.5)	10 (12.0)	0.101
Steroid	44 (29.3)	21 (31.3)	23 (27.7)	0.627
ICU admission diagnosis
Respiratory failure	96 (64.0)	44 (65.7)	52 (62.7)	0.702
Renal replacement therapy	27 (18.0)	13 (19.4)	14 (16.9)	0.688
Cardiogenic failure	28 (18.7)	13 (19.4)	15 (18.1)	0.835
Postoperative care	2 (1.3)	0	2 (2.4)	0.201
Sepsis	26 (17.3)	10 (14.9)	16 (19.3)	0.484
Hypovolemic shock	2 (1.3)	2 (3.0)	0	0.113
Others^a	16 (10.7)	7 (10.4)	9 (10.8)	0.938
Mechanical ventilation	121 (80.7)	51 (76.1)	70 (84.3)	0.205
Vasoactive agents	80 (53.3)	42 (28.0)	38 (25.3)	0.039
Norepinephrine	49 (32.7)	22 (32.8)	27 (32.5)	0.968
Epinephrine	16 (10.7)	15 (22.3)	1 (1.2)	<0.001
Dopamine	28 (18.7)	13 (19.4)	15 (18.1)	0.835
Dobutamine	4 (2.7)	1 (1.5)	3 (3.6)	0.423
Vasopressin	28 (18.7)	12 (17.9)	16 (19.3)	0.831
APACHE Ⅱ score	19.5 (15–27)	19 (15–26)	21 (15–28)	0.476
SOFA score	9 (6–12)	9 (6–11)	9 (6–13)	0.302
SAPS II	45.9±1.7	45.1±2.3	46.6±2.4	0.656

Variable	All (n=150)	Windowless (n=67)	Window (n=83)	P-value
Opioid	120 (80)	50 (74.6)	70 (84.3)	0.139
Remifentanil
Patient	101 (67.3)	42 (62.7)	59 (71.1)	0.276
Cumulative duration (day)	3 (0–7)	2 (0–7)	3 (0–7)	0.747
Morphine
Patient	37 (18.0)	8 (11.9)	29 (22.9)	0.083
Cumulative duration (day)	0	0	0 (0–1)	0.214
Fentanyl
Patient	47 (31.3)	23 (34.3)	24 (28.9)	0.477
Cumulative duration (day)	0 (0–1)	0 (0–1)	0 (0–1)	0.369
Sedative	125 (83.3)	54 (80.6)	71 (85.5)	0.419
Midazolam
Patient	80 (53.3)	38 (56.7)	42 (50.6)	0.456
Cumulative duration (day)	1 (0–2)	1 (0–1)	1 (0–3)	0.180
Propofol
Patient	73 (48.7)	28 (41.8)	45 (54.2)	0.130
Cumulative duration (day)	0 (0–4.25)	0 (0–4)	1 (0–5)	0.891
Dexmedetomidine
Patient	116 (77.3)	48 (71.6)	68 (81.9)	0.135
Cumulative duration (day)	3 (1–7)	2 (0–6)	3 (1–7)	0.253

Variable	Windowless (n=67)	Window (n=83)	P-value
Primary outcome
Delirium incidence	29 (43.3)	18 (21.7)	0.005
Secondary outcome
Delirium and coma-free day	0 (0–2)	0 (0–3)	0.105
Agitation	7 (10.4)	6 (7.2)	0.486
Mechanical ventilation	51 (76.1)	70 (84.3)	0.205
Ventilation-free days	2 (0-5)	2 (0–5)	0.615
Duration of mechanical ventilation	3 (0–7)	4 (2–7)	0.718
ICU LOS (day)	6 (3–11)	4 (6–12)	0.955
Hospital LOS (day)	36 (18–76)	37 (20–77)	0.670
ICU mortality	15 (22.4)	15 (18.1)	0.511
28-Day mortality	16 (23.9)	25 (30.1)	0.394

Variable	All (n=150)	Windowless (n=67)	Window (n=83)	P-value
14-Day mortality	23 (15.3)	9 (13.4)	14 (16.9)	0.562
Duration of delirium (day)	1.6±0.3	2.2±0.5	1.2±0.4	0.125
Delirium and coma-free day	1.8±0.3	1.4±0.3	2.1±0.4	0.151
Unavailable and coma day	5.2±0.7	4.5±0.9	5.7±1.0	0.401
ICU LOS (day)	10.5±1.0	10.5±1.4	10.6±1.4	0.955
Onset of delirium after ICU admission (day)	1.7±0.4	2.8±0.8	0.8±0.3	0.016
Patients with RASS ≥+2 at the time of diagnosis^a	20/47 (42.6)	12/29 (41.4)	8/18 (44.4)	0.016

Variable	Coefficient	Adjusted odds ratio^a	P-value
Admission to a window room	–1.147	0.318 (0.125–0.805)	0.016

Table 1. Baseline patient characteristics

Values are presented as median (interquartile range), mean±standard error, or number (%).

ICU: intensive care unit; APACHE: Acute Physiology and Chronic Health Evaluation; SOFA: Sepsis Organ Failure Assessment; SAPS: Simplified Acute Physiology Score.

Others: closed observation, physician's concern, etc.

Table 2. Opioid and sedative use during intensive care unit stay

Values are presented as number (%) or median (interquartile range).

Table 3. Main outcomes

Values are presented as number (%) or median (interquartile range).

ICU: intensive care unit; LOS: length of stay.

Table 4. Delirium-related characteristics of both groups

Values are presented as number (%) or mean±standard error.

ICU: intensive care unit; LOS: length of stay; RASS: Richmond agitation sedation scale.

Percentages were calculated in patients diagnosed with delirium.

Table 5. Factors associated with the incidence of delirium, multivariate logistic regression

Variables associated in univariate analysis and tested in the multivariate model and clinically relevant: age, alcohol abuse, hypoxic brain injury, medical history of steroid use, mechanical ventilation, duration of mechanical ventilator apply, self-extubation, vasoactive agents (norepinephrine, epinephrine, dopamine, dobutamine, vasopressin), duration of remifentanil administration, duration of midazolam administration, duration of propofol administration, and duration of dexmedetomidine administration.