Characteristics, Risk Factors And Outcome Of Early-Onset Delirium In Elderly Patients With First Ever Acute Ischemic Stroke - A Prospective Observational Cohort Study.

INTRODUCTION: Post-stroke delirium is a common clinical problem, occurring in 10% to 48% of patients. It has been associated with longer hospitalization times, increased mortality and worse functional outcome. In early phase of stroke, it may be regarded as particularly difficult to differentiate from other neurological symptoms. For practical purposes, there is a need to identify simple pre-operative laboratory parameters that may aid delirium diagnosis early after stroke. Our aim was to identify the incidence of early-onset (first 24 hrs) post-stroke delirium, its risk factors and outcomes (complications and mortality) in patients with first-ever acute ischemic stroke (AIS).
MATERIAL AND METHODS: A retrospective analysis of a prospective observational study (NCT03944694) was performed. Patients were screened for delirium using CAM-ICU method. Clinical and laboratory data were collected, including baseline inflammatory parameters.
RESULTS: Final analysis included 760 patients, 121 (15.9%) developed delirium. Patients with delirium were older (75.9±13.5 years, p<0.001). Most common complications in the delirium group were pulmonary (57.8% vs 21.4%, p<0.001), cardiac (38.8% vs 13.6%, p<0.001) and renal (13.2% vs 7.5%, p=0.038). Neutrophil-to-lymphocyte ratio (NLR) (6.71±9.65 vs 4.55±5.51, p<0.001), C-reactive protein level (32.59±65.94 vs 15.70±38.56, p<0.001) and troponin T level (72.59±180.15 vs 26.85±77.62, p<0.001) were higher in delirious patients and platelet-to white blood cell count ratio (PWR) (23.42±9.51 vs 27.13±10.58, p<0.001) was lower. Multivariable logistic regression showed that atrial fibrillation (OR 1.651, p=0.049), higher Rankin score on admission (OR 1.689, p<0.001), hemianopia (OR 2.422, p=0.003) and PWR <20.22 (OR 2.197, p=0.002) were independently associated with delirium. Kaplan-Meier curves indicated that mortality increased for patients with delirium at 3 months (p<0.001) and 1 year (p<0.001) after AIS.
CONCLUSION: Atrial fibrillation, higher Rankin score, hemianopia and lower PWR were independently associated with early onset delirium in patients with first ever AIS. This confirms that deprivation of senses and early generalized inflammatory response are critical for delirium development.

Introduction

Acute ischemic stroke (AIS) is a neurological emergency that may lead to serious immediate and long-term physical, emotional and cognitive complications.1–4 Post-stroke delirium is a common clinical problem occurring in 10% to 48% of patients.1,4 According to a meta-analysis performed by Shi et al, patients with delirium after stroke have longer hospitalization times, are 4.7 times more likely to die in the hospital and within the first year after stroke and have poorer functional outcomes with lower quality of life.1 Post-stroke delirium is an acute neuro-psychiatric syndrome that aggravates patients’ and family members’ distress and leads to long-term consequences, especially at the extremes of age.3,4

Delirium is characterized by an acute onset of symptoms including altered level of consciousness and a fluctuating course with changes in orientation, memory, thinking or behavior.3,5 It may be present as a complication of infection, hypoxia, metabolic derangement or an effect of various centrally acting medications, especially in elderly patients. It may also become evident as a consequence of a medical problem, such as stroke or occur after major surgery.6–9

The stroke itself is a known predisposing factor for delirium, yet studies that have investigated this association gives conflicting results.4 In order to limit the negative consequences of delirium in stroke patients, clinicians should screen for delirium to identify its early signs, recognize modifiable precipitating factors and risk factors to improve clinical outcomes.10–12 It is recommended that screening for delirium is easy and should be active, with the use of validated psychometric tools CAM, CAM-ICU (confusion assessment method for intensive care unit) or ICDSC (Intensive Care Delirium Screening Checklist).11,13 Post-stroke delirium, especially in the early phase of stroke, may be regarded as particularly difficult to recognize and differentiate from other neurological symptoms; however, usefulness of CAM-ICU to diagnose delirium in post-stroke delirium has been confirmed by many studies.10,14,15 The CAM-ICU has been validated for use in non-verbal intubated patients in the ICU, but it may also be used in other non-verbal patients including those with aphasia after stroke.14

The pathophysiology of delirium is multifactorial and not entirely understood. Mechanisms involving neuroinflammation and oxidative stress, as well as the interplay between inflammatory cytokines and the cholinergic system have been reported.16,17 A number of biomarkers has been identified in different delirium populations, yet they are used mainly in the research setting.8,18–20 There is a need for a practicing clinician to identify and use simple pre-operative laboratory parameters that may aid delirium diagnosis early after stroke. Moreover, the assessment time-point is also very important, as different values were reported in literature and the number of studies regarding early-onset delirium performed in patients with ischemic stroke is limited.1,4 A recently published prospective study performed by Qu et al in the first-ever ischemic brain stroke showed that delirium frequency was rather low with the incidence of 14.6%.21 According to Pasinska et al most cases of delirium are recognizable at the beginning of hospitalization, with 71% of patients developing post-stroke delirium within 24 hrs after admission.22,23

No previous study has specifically concentrated on the diagnosis of early-onset post-stroke delirium. Moreover, data regarding complications in post-stroke delirium is limited. The authors identified a need to perform a study regarding early-onset delirium in a very homogenous group of patients including only acute ischemic stroke without a previous stroke. Therefore, our aim was to identify the incidence of early onset (within 24 hrs of admission) post-stroke delirium, its risk factors and outcome, including complications (pulmonary, cardiac, renal, other) and mortality (at 7 days, 30 days, 90 days and 1 year) in a homogenous group of patients with first-ever acute ischemic stroke.

Materials And Methods

Study Population And Data Collection

We performed a secondary retrospective analysis of a prospective observational cohort study (DELirium In Acute ischemic Stroke, DELIAS Study, NCT03944694). Patients of both sexes, aged >18 years, with acute ischemic stroke who were admitted to the stroke unit of a district general hospital within 48 hrs after developing neurological symptoms, were screened for inclusion into the study. Neurological deficits were assessed using the National Institutes of Health Stroke Scale (NIHSS) at admission and discharge. Neuroimaging was performed using brain computed tomography (CT) on admission, with lesions classified into one of the four categories: no lesion, lesion <2.5 cm (supratentorial and infratentorial), lesion >2.5 cm, lacunar lesion (supratentorial lesions). Functional ability was assessed with the use of modified Rankin Scale (mRS) at admission and discharge. Data were collected prospectively by a member of the study team and included: complete past medical history, co-morbidities, clinical and neurological evaluation, carotid artery ultrasonography, laboratory results (full blood count with differential white blood cell count, C-reactive protein, Troponin T level, serum creatinine). The leucocyte count (white blood cell count, WBC), neutrophil, lymphocyte and platelet counts were determined on a standard hematology analyzer with flow cytometry (Sysmex XN 2000, 2014, Japan). The neutrophil–to-lymphocyte ratio (NLR), platelet-to-neutrophil ratio (PNR) and platelet-to-WBC ratio (PWR) were derived directly from the differential WBC. The NLR was calculated by dividing the absolute neutrophil count by the absolute lymphocyte count. The PNR was calculated by dividing the platelet count over the neutrophil count and the PWR was calculated by dividing the platelet count by the WBC.

The follow-up included data extracted from medical records during patient hospitalization. Complications were recorded and categorized as: 1. pulmonary (pneumonia, respiratory failure, pulmonary embolism, bronchospasm), 2. cardiac (heart failure, myocardial infarction, sudden cardiac arrest, atrial fibrillation), 3. renal (acute renal failure, urinary tract infection), 4. neurological (seizures, CNS hemorrhage) 5. deep venous thrombosis (DVT), 6. gastro-intestinal bleeding, 7. bed sores and 8. sepsis. Mortality was evaluated at 7, 30, 90 days and at 1 year after discharge, using a telephone interview. The primary endpoint was delirium diagnosed within 24 hrs from admission in patients with first onset acute ischemic stroke.

A total of 1022 patients with AIS admitted to the hospital were screened in this study. We excluded 241 patients with a history of previous stroke, 5 patients with hematology disorders, 6 patients with incomplete laboratory results and 10 patients with no data regarding follow-up (Figure 1); therefore, 760 patients with first-ever stroke were included in the final analysis.

Figure 1

Study flow-chart.

Delirium Screening

All patients were screened for delirium on admission and during their hospitalization twice daily (9:00 and 19:00) after admission to the neurology (stroke) unit. The cognitive assessment method for ICU (CAM-ICU) was used because it allows assessment of all, even non-verbal patients. We used the Polish language version of the CAM-ICU test.13 To facilitate the diagnosis of delirium, medical and nursing notes were reviewed by one of the investigators. The diagnosis of delirium was made using the Diagnostic and Statistical Manual of Mental Disorders 5th edition.5 We used “early onset” definition, if delirium was diagnosed within the first 24 hrs after admission with AIS to the neurology unit.

Ethical Issues

The study was performed according to the Declaration of Helsinki and an approval of the Bioethical Committee of the Pomeranian Medical University (KBE-0012/84/03/19) was granted. The data were coded and analyzed anonymously. The study was registered at Clinical Trials Gov register (NCT03944694).

Statistical Analysis

The data are presented as numbers and percentages for categorical variables and as means and standard deviations for continuous variables. The cohort of first-ever acute ischemic stroke patients was divided according to the absence or presence of early-onset delirium on admission (Delirium vs No Delirium group). Chi-square test was used to compare qualitative data between patients with and without delirium. Mann Whitney U-test was used to compare continuous variables. The receiver-operating characteristics curve (ROC) analysis was performed to determine the best cut-off value for laboratory parameters predicting the clinical endpoints. Univariable and multivariable logistic regression analysis was performed with delirium occurrence as the dependent variable to analyze independent risk factors and calculate the odds ratios (OR). Kaplan-Meier analysis calculated the probability of survival. The p-value was considered significant at the level ≤0.05. All statistical analyses were performed with the use of a licensed software Statistica 13 (StatSoft, Inc. Tulsa, OK, USA).

Results

The final analysis included 760 patients, 121 (15.92%) developed delirium within 24 hrs of the onset of acute ischemic stroke. Patients with delirium were older (75.95 ± 13.49 years vs 70.82 ± 12.15 years, p < 0.001), there were no differences between sexes in the study sample. More patients with delirium suffered from ischemic heart disease (32.23% vs 22.38%, p = 0.019), congestive heart failure (42.50% vs 24.41%, p < 0.001), transient ischemic attack prior to current stroke (11.57% vs 5.95%, p = 0.025), had acute renal failure on admission (3.31% vs 0.31%, p = 0.004), impaired glucose tolerance (9.09% vs 3.44%, p = 0.005), extracardiac arteriopathy (57.02% vs 37.09%, p < 0.001) and atrial fibrillation (48.76% vs 25.08%, p < 0.001) as depicted in Table 1.

Table 1

Baseline Demographic Data And Co-Morbidities Of Patients With And Without Delirium

Variables	Delirium (n = 121)	No Delirium (n = 639)	p-value
Demographic data
Age [years], mean ± SD	75.95 ± 13.49	70.82 ± 12.15	<0.001
Gender [male], n (%)	56 (46.28)	337 (52.74)	0.192
BMI [kg/m2], mean ± SD	27.06 ± 4.76	26.67 (4.79)	0.196
Smoking, n (%)	53 (43.80)	266 (41.63)	0.657
Co-morbidities
Arterial hypertension, n (%)	100 (82.64)	543 (84.98)	0.515
Ischemic heart diseases, n (%)	39 (32.23)	143 (22.38)	0.019
Myocardial infarction, n (%)	11 (9.09)	65 (10.17)	0.716
Congestive heart failure, n (%)	51 (42.50)	156 (24.41)	<0.001
TIA during last 30 days, n (%)	16 (13.22)	63 (9.86)	0.266
TIA earlier than last 30 days, n (%)	14 (11.57)	38 (5.95)	0.025
Acute Renal Failure on admission, n (%)	4 (3.31)	2 (0.31)	0.004
Chronic Renal Failure, n (%)	21 (17.36)	85 (13.30)	0.299
Chronic Dialysis, n (%)	0 (0.00)	2 (0.31)	0.725
Impaired insulin tolerance, n (%)	11 (9.09)	22 (3.44)	0.005
Diabetes on oral medications, n (%)	25 (20.66)	121 (18.94)	0.659
Diabetes on insulin, n (%)	18 (14.88)	80 (12.54)	0.482
Chronic obstructive pulmonary disease	12 (9.92)	54 (8.45)	0.727
Extracardiac arteriopathy, n (%)	69 (57.02)	237 (37.09)	<0.001
Atrial Fibrillation, n (%)	59 (48.76)	260 (25.08)	<0.001
AF paroxysmal, n (%)	7 (5.79)	36 (5.63)	0.882
AF persistent, n (%)	42 (34.71)	87 (13.62)	<0.001

Abbreviations: n, number of patients; SD, standard deviation; BMI, body mass index; TIA, transient ischemic attack; AF, atrial fibrillation.

Patients with delirium used ADP inhibitors (5.79% vs 1.56%, p = 0.011) and diuretics (44.63% vs 34.27%, p = 0.029) significantly more often than patients without delirium (Table 2). On the other hand, ACE-inhibitors or sartans (40.50% vs 55.71%, p = 0.002), as well as calcium channel blockers (16.53% vs 27.23%, p = 0.013) were used less often in patients with delirium.

Table 2

Medications Used Prior To Stroke In Patients With And Without Delirium

Medications	Delirium (n = 121)	No Delirium (n = 639)	p-value
Aspirine, n (%)	71 (58.68)	332 (51.96)	0.208
ADP Inhibitors, n (%)	7 (5.79)	10 (1.56)	0.011
Vitamin K antagonists, n (%)	11 (9.09)	36 (5.63)	0.214
NOAC, n (%)	3 (2.48)	7 (1.10)	0.429
Beta-blockers, n (%)	59 (48.76)	281 (43.97)	0.332
ACE-I/Sartans, n (%)	49 (40.50)	356 (55.71)	0.002
Calcium channel blockers, n (%)	20 (16.53)	174 (27.23)	0.013
Statins, n (%)	26 (21.49)	166 (25.98)	0.353
Nitrates, n (%)	3 (2.48)	10 (1.56)	0.742
Diuretics, n (%)	54 (44.63)	219 (34.27)	0.029
Aldosterone receptor antagonists, n (%)	8 (6.61)	28 (4.38)	0.409
Endothelin inhibitor/PDE, n (%)	0 (0.00)	2 (0.31)	0.725
Bronchodilators, n (%)	1 (0.83)	22 (3.44)	0.211
Oral diabetic medications, n (%)	20 (16.53)	110 (17.21)	0.959
Insuline, n (%)	16 (13.22)	68 (10.64)	0.501

Abbreviations: n, number of patients; NOAK, new oral anticoagulants.

Baseline neurology data is shown in Table 3. Patients with delirium had higher Rankin score (4.25 ± 1.21 vs 2.74 ± 1.56, p < 0.001) and NIHSS score (16.40 ± 7.19 vs 9.67 ± 7.46, p < 0.001) on admission. Delirious patients more often presented with hemianopia (71.07% vs 29.11%, p < 0.001) and dysphasia (61.16% vs 48.98%, p < 0.001). There were no differences in the occurrence of brainstem stroke or secondary hemorrhage between the two groups. The CT scan showed that the majority of delirious patients presented with lesions larger than 2.5 cm (77.69% vs 42.88%, p < 0.001), with predominance of stroke from middle cerebral artery area (80.00% vs 61.17%, p < 0.001). There were no differences regarding the type of stroke treatment between both groups, majority of patients were treated conservatively.

Table 3

Baseline Neurology Data For AIS Patients With And Without Delirium

Variables		Delirium (n = 121)	No Delirium (n = 639)	p-value
Rankin score at admission, mean ± SD		4.25 ± 1.21	2.74 ± 1.56	<0.001
NIHSS on admission, mean ± SD		16.40 ± 7.19	9.67 ± 7.46	<0.001
Hemianopia, n (%)		86 (71.07)	186 (29.11)	<0.001
Dysphasia, n (%)		74 (61.16)	313 (48.98)	0.014
Brainstem stroke, n (%)		5 (4.13)	34 (5.32)	0.749
Secondary hemorrhage, n (%)		6 (4.96)	19 (2.97)	0.398
Paresis, n (%)	Right-sided	59 (51.75)	292 (51.05)	0.981
	Left-sided	52 (45.61)	266 (46.50)
Bilateral	3 (2.63)	14 (2.45)
CT scan, n (%)	No lesion	7 (5.79)	50 (7.82)	<0.001
	Lesion up to 2.5 cm	20 (16.53)	297 (46.48)
	Lesion above 2.5 cm	94 (77.69)	274 (42.88)
Lacunar stroke	0 (0.00)	18 (2.82)
Cerebral artery area, n (%)	Anterior	6 (5.00)	143 (22.66)	<0.001
	Middle	96 (80.00)	386 (61.17)
Posterior	18 (15.00)	102 (16.16)
Carotid artery stenosis, n (%)	No stenosis	3 (2.63)	24 (3.90)	0.004
	Stenosis up to 50%	56 (49.12)	391 (63.58)
	Stenosis 50-70%	43 (37.72)	135 (21.95)
	Stenosis >70%	4 (3.51)	36 (5.85)
Occlusion	8 (7.02)	29 (4.72)
Stroke treatment, n (%)	Conservative	103 (85.83)	478 (78.36)	0.063
Thrombolysis	17 (14.17)	132 (21.64)

Abbreviations: NIHSS, National Institute of Health Stroke Scale; n, number of patients; SD, standard deviation; CT, computed tomography.

Among patients with delirium, the most prevalent type was hyperactive form (48.76%), followed by hypoactive type (33.05%); only 18% of patients were diagnosed with mixed delirium (Table 4). In one third of patients, delirium persisted until discharge (29.75%). Majority of delirious patients received non-pharmacological treatment (36.36%), with only 8.26% receiving medications.

Table 4

Data Regarding Delirium Types And Treatment

Variables		n (%)
Delirium type	Hyperactive	59 (48.76)
	Hypoactive	40 (33.05)
Mixed	22 (18.18)
Persistent delirium (until discharge)		36 (29.75)
Delirium treatment	Non-pharmacological	44 (36.36)
	Pharmacological	10 (8.26)
No treatment	67 (55.37)
Medications used	Haloperidol	1 (0.83)
	Quetiapine	6 (4.96)
Other	3 (2.48)

Abbreviation: n, number of patients.

The results of standard laboratory tests performed on admission to the hospital are shown in Table 5. In patients with delirium, the total leucocyte count (10.77 ± 5.56 vs 9.55 ± 3.65, p = 0.018) and neutrophil count (7.89 ± 4.76 vs 6.65 ± 3.47, p = 0.001) was higher, but the lymphocyte count (1.91 ± 2.04 vs 2.01 ± 1.15, p = 0.003) and platelet count (223.66 ± 75.74 vs 241.59 ± 92.94, p = 0.018) was lower in patients with delirium. The derived parameters also showed significant differences – the NLR was higher (6.71 ± 9.65 vs 4.55 ± 5.51, p < 0.001) and PWR was lower (23.42 ± 9.51 vs 27.13 ± 10.58, p < 0.001) in patients with delirium. The C-reactive protein level was elevated in both groups, yet significantly higher in delirious patients (32.59 ± 65.94 vs 15.70 ± 38.56, p < 0.001). Moreover, the troponin T level was elevated in delirium (72.59 ± 180.15 vs 26.85 ± 77.62, p < 0.001).

Table 5

Laboratory Results On Admission In Patients With And Without Delirium

Laboratory Results On Admission	Delirium, Mean ± SD (n = 121)	No delirium, Mean ± SD (n = 639)	p-value
Leucocyte count (×109/L)	10.77 ± 5.56	9.55 ± 3.65	0.018
Neutrophil count (×109/L)	7.89 ± 4.76	6.65 ± 3.47	0.001
Lymphocyte count (×109/L)	1.91 ± 2.04	2.01 ± 1.15	0.003
Platelet count (×109/L)	223.66 ± 75.74	241.59 ± 92.94	0.018
Neutrophil-to-lymphocyte ratio	6.71 ± 9.65	4.55 ± 5.51	<0.001
Platelet-to-neutrophil ratio	35.16 ± 19.46	42.38 ± 20.85	<0.001
Platelet-to-WBC ratio	23.42 ± 9.51	27.13 ± 10.58	<0.001
Hemoglobin	13.87 ± 1.88	13.88 ± 1.85	0.610
Creatinine	1.14 ± 0.59	1.06 ± 0.66	0.022
C-reactive protein	32.59 ± 65.94	15.70 ± 38.56	<0.001
Aspartate aminotransferase	49.91 ± 139.17	24.21 ± 14.83	0.001
Alanine aminotransferase	38.56 ± 92.60	22.17 ± 14.75	0.100
Troponin T	72.59 ± 180.15	26.85 ± 77.62	<0.001

Abbreviations: n, number of patients; SD, standard deviation; NLR, neutrophil-to-lymphocyte ratio, CRP, C-reactive protein.

We used ROC analysis to find the cut-off values for derived inflammatory ratios and parameters of interest and found that the cut-off for diagnosing delirium within the first 24 hrs after stroke are: NLR > 4.86, PWR < 20.22 and CRP > 6.10 (Figure 2).

Figure 2

Receiver-operator curves for NLR, PWR and CRP with their cut-off points.

Outcome data for patients with and without delirium are shown in Table 6. Hospitalization time for patients with delirium was longer (12.12 ± 7.50 days vs 10.32 ± 6.76 days, p < 0.001) and were discharged with worse scores as identified by NIHSS (17.27 ± 14.25 vs 8.87 ± 12.14, p < 0.001) and Rankin scale (3.95 ± 1.85 vs 2.20 ± 2.22, p < 0.001). The mortality was higher for delirious patients as reported at day 7 (13.22% vs 5.63%, p = 0.005), at day 30 (33.88% vs 12.83%, p < 0.001) and year one of observation (57.02% vs 23.63%, p < 0.001). In the delirium group 24/121 patients (19.83%) died during hospitalization as opposed to 56/639 (8.76%) of non-delirious patients (p < 0.001). Patients with delirium were less likely to be discharged home that patients without delirium (39.67% vs 62.60%, p < 0.001).

Table 6

Outcome Data For Patients With And Without Delirium

Variables		Delirium (n = 121)	No Delirium (n = 639)	p-value
Hospitalization time (days), mean ± SD		12.12 ± 7.50	10.32 ± 6.76	<0.001
NIHSS at discharge, mean ± SD		17.27 ± 14.25	8.87 ± 12.14	<0.001
Rankin score at discharge, mean ± SD		3.95 ± 1.85	2.20 ± 2.22	<0.001
Mortality until day 7, n (%)		16 (13.22)	36 (5.63)	0.005
Mortality until day 30, n (%)		41 (33.88)	82 (12.83)	<0.001
Mortality until day 90, n (%)		57 (47.11)	118 (18.47)	<0.001
Mortality until year 1, n (%)		69 (57.02)	151 (23.63)	<0.001
Outcome	In-hospital death, n (%)	24 (19.83)	56 (8.76)	<0.001
	Discharged home, n (%)	48 (39.67)	400 (62.60)
	Nursing home, n (%)	19 (15.70)	42 (6.57)
	Rehabilitation facility, n (%)	27 (22.31)	131 (20.50)
Other ward, n (%)	3 (2.48)	10 (1.56)

Abbreviations: n, number of patients; SD, standard deviation; NIHSS, National Institutes of Health Stroke Scale.

We performed a detailed analysis of complications that occurred after stroke and during hospitalization (Table 7). More than twice as many patients with delirium developed any kind of complications (76.03% vs 30.36%, p < 0.001). In patients with delirium the most common complications were of pulmonary origin (57.85% vs 21.44%, p < 0.001), followed by cardiac (38.84% vs 13.62%, p < 0.001) and renal problems (13.22% vs 7.51%, p = 0.038).

Table 7

Post-Stroke Complications In Delirious And Non-Delirious Patients

Complications		Delirium, n (%) (n = 121)	No Delirium, n (%) (n = 639)	p-value
Any complications		92 (76.03)	194 (30.36)	<0.001
Cardiological complications		47 (38.84)	87 (13.62)	<0.001
Heart failure		38 (31.40)	61 (9.55)	<0.001
Myocardial infarction		9 (7.44)	16 (2.50)	0.012
NSTEMI		9 (7.44)	15 (2.35)	0.008
STEMI		0 (0.00)	1 (0.16)	0.351
Sudden cardiac arrest		25 (20.66)	50 (7.82)	<0.001
Atrial fibrillation		3 (2.48)	10 (1.56)	0.742
Pulmonary complications		70 (57.85)	137 (21.44)	<0.001
Respiratory failure		27 (22.31)	48 (7.51)	<0.001
Pneumonia		59 (48.76)	98 (15.34)	<0.001
Pulmonary embolism		1 (0.83)	2 (0.31)	0.972
Bronchospasm		4 (3.31)	20 (3.13)	0.856
Renal complications		16 (13.22)	48 (7.51)	0.038
ARF		5 (4.13)	3 (0.47)	0.002
Exacerbation of chronic renal failure		2 (1.65)	11 (1.72)	0.742
Hemofiltration in ARF		1 (0.83)	0 (0.00)	0.351
Conservative treatment in ARF		4 (3.31)	3 (0.47)	0.013
UTI		13 (10.74)	34 (5.32)	0.023
Neurological complications		11 (9.09)	23 (3.60)	0.007
Seizures		4 (3.31)	8 (1.26)	0.210
CNS Hemorrhage	No hemorrhage	119 (98.35)	629 (98.59)	0.316
	In conservative treatment group	0 (0.00)	5 (0.78)
In thrombolytic treatment group	2 (1.65)	4 (0.63)
Other complications		12 (9.92)	22 (3.44)	0.004
Bed sores		10 (8.26)	11 (1.72)	<0.001
DVT	No DVT	120 (99.17)	635 (99.37)	0.804
	In conservative treatment group	1 (0.83)	3 (0.47)
In thrombolytic treatment group	0 (0.00)	1 (0.16)
GI bleeding	No GI bleeding	117 (96.69)	630 (98.59)	0.243
	In conservative treatment group	3 (2.48)	8 (1.25)
In thrombolytic treatment group	1 (0.83)	1 (0.16)
Sepsis		4 (3.33)	6 (0.94)	0.094

Abbreviations: n, number of patients; CNS, central nervous system; GI, gastro-intestinal; ARF, acute renal failure; UTI, urinary tract infection; DVT, deep venous thrombosis.

In order to identify risk factors associated with early onset delirium in patients with first ever acute ischemic stroke a univariable and multivariable logistic regression analysis was performed (Table 8). We used variables with highest statistical significance (p<0.001) in the univariable analysis for multivariable analysis. Only a history of atrial fibrillation (OR 1.651, 95% CI 1.003–2.719, p = 0.049), higher Rankin score on admission (OR 1.689, 95% CI 1.280–2.229, p < 0.001), hemianopia as a presenting syndrome (OR 2.422, 95% CI 1.351–4.342, p = 0.003) and platelet-to-WBC ratio below 20.22 (OR 2.197, 95% CI 1.347–3.601, p = 0.002) were independently associated with early onset delirium in patients with first ever acute ischemic stroke in the multivariable analysis.

Table 8

Univariable And Multivariable Logistic Regression Analysis For Patients With Delirium

Variables	Univariable Analysis OR (CI ±95%)	p-value	Multivariable Analysis OR (CI ±95%)	p-value
Age	1.036 (1.019–1.054)	<0.001	1.008 (0.987–1.029)	0.467
Congestive heart failure	2.288 (1.527–3.429)	<0.001	1.192 (0.710–2.000)	0.507
Atrial fibrillation	2.843 (1.908–4.237)	<0.001	1.651 (1.003–2.719)	0.049
Extracardiac arteriopathy	2.251 (1.518–3.338)	<0.001	1.071 (0.655–1.750)	0.786
NIHSS on admission	1.102 (1.076–1.129)	<0.001	0.970 (0.925–1.017)	0.212
Rankin score on admission	2.025 (1.722–2.383)	<0.001	1.689 (1.280–2.229)	<0.001
Hemianopia	5.984 (3.899–9.185)	<0.001	2.422 (1.351–4.342)	0.003
NLR at cut-off > 4.86	2.257 (1.512–3.370)	<0.001	0.924 (0.557–1.534)	0.760
PWR at cut-off < 20.22	2.541 (1.698–3.802)	<0.001	2.197 (1.347–3.601)	0.002
CRP at cut-off > 6.10	2.593 (1.736–3.873)	<0.001	2.593 (0.857–2.221)	0.186
Troponin T level	1.003 (1.001–1.005)	<0.001	1.001 (1.000–1.003)	0.141

Note: Variables in the multivariable analysis were adjusted according to age, sex and BMI.

Abbreviations: CI, confidence interval; CRP, C-reactive protein; NIHSS, National Institute of Health Stroke Scale; NLR, neutrophil-to-lymphocyte ratio; OR, odds ratio; PWR, platelet-to-WBC ratio; WBC, white blood count.

The Kaplan–Meier curves visible in Figure 3 show that the probability of survival until day 90. after stroke was significantly lower in patients with delirium (p < 0.001). Similarly, the Kaplan–Meier curves regarding the probability of survival until 1 year after stroke showed significantly (p < 0.001) worse result for patients with delirium as shown in Figure 4.

Figure 3

Kaplan–Meier curves – mortality until 90 days in patients with and without delirium.

Figure 4

Kaplan–Meier curves – mortality until year 1 in patients with and without delirium.

Discussion

Post-stroke delirium is a serious clinical problem with long-term consequences. The number of studies regarding delirium in patients with first-ever ischemic stroke is very limited.24–26 The results of this retrospective analysis of a prospective cohort study (DELIAS Study) including 760 patients revealed that the incidence of delirium diagnosed within the first day of admission to the hospital was nearly 16%, with half (48.7%) of patients presenting with hyperactive delirium. Complications during hospital stay occurred more frequently in patients with delirium than in patients without delirium (76% vs 30%, p<0.001), the most common being pulmonary (58%), cardiac (39%) or renal (13%) in origin.

The hospitalization time for patients with delirium was significantly longer. They were discharged from the neurology unit with worse NIHSS score and with greater disability as defined by Rankin scale. The mortality in delirious patients almost tripled at day 30 (34% vs 13%, p < 0.001) and more than doubled at one year of observation (57% vs 24%, p < 0.001). In the delirium group twice as many patients (20%) died during hospitalization as opposed to (9%) non-delirious patients (p < 0.001). Patients with delirium were less likely to be discharged home than patients without delirium. The risk factors for delirium development within 24 hrs of admission due to first-ever acute ischemic stroke were: a history of atrial fibrillation (OR 1.651, p = 0.049), higher Rankin score on admission (OR 1.689, p < 0.001), but the strongest predicting factors were hemianopia as a presenting syndrome (OR 2.422, p = 0.003) and platelet-to-WBC ratio below 20.22 (OR 2.197, p = 0.002). Therefore, visual disturbance and decreased level of platelets along with elevated leucocyte count are strongly and independently associated with early onset delirium in patients with first ever acute ischemic stroke. This confirms that the deprivation of senses (hemianopia) and early generalized inflammatory response (decreased PWR) are critical for development of delirium.

Other studies regarding post-stroke delirium have shown that age, elevated admission troponin level or nicotine use have been regarded as independent risk factors.21 Higher age was found as a risk factor in other studies and may be explained by the changes in morphology of aging brains as immunosenescence or inflammaging.27–29 Surprisingly, the effect of age has not been shown in our study, probably due to the fact that majority of patients were above 70 years of age.

According to Ahn et al troponin elevation in acute ischemic stroke has high prognostic significance for long-term mortality (risk of death 46% for patients with troponin elevation vs 17% for patients without troponin elevation), even after controlling for multiple c-factors contributing to mortality.30 The results of our study do not support this observation. The troponin level was indeed elevated in patients with delirium, yet it did not reach significance in multivariable analysis (p = 0.117). Studies have reported that smoking increases stroke risk and that abrupt smoking cessation may be associated with delirium. Yet other data showed that nicotine use can be a beneficial prognostic factor after AIS, supporting its paradoxical benefit. Lim et al reported that cigarette smoking is an independent risk factor for post-stroke delirium.31 The results of our study showed no difference in nicotine use between patients with and without delirium and smoking was not a risk factor for post-stroke delirium. In a case–control study performed by Nydahl et al, analysis matched for dementia, severe neurological disability on admission, increased age ≥72 year., and increased CRP on admission showed that delirious patients had more complications but not a worse outcome except a tendency for a reduced rehabilitation improvement, compared to control patients without delirium.32

Both previous studies and our results have shown that severe disability on admission, usually assessed by high scores on the modified Rankin Scale, also presented a higher risk for delirium. This can be explained by altered neurotransmission that leads to delirium.16

Laboratory values reported in this study showed significant differences between patients with and without delirium.33 This study also aimed to determine if simple hematology parameters could be used as risk factors for acute ischemic stroke.34,35 We found that mean levels of leukocytes were elevated, and levels of platelets were decreased in patients with stroke and delirium, resulting in a decreased platelet-to WBC ratio, that can be regarded as an independent risk factor of early-onset delirium. Therefore, the results of our study add important evidence to the understanding of a causative relationship between delirium and a dysfunction of immune effector cells.36 Furthermore, this finding suggests that the pathophysiology of delirium relies on inadequate response of the immune system to acute brain episodes. Previous small studies have reported that an imbalance between circulating immune cells may be associated with worse neurological outcome in high-risk vascular patients.37 A small study performed by Egberts et al has shown that an imbalance between neutrophils and lymphocytes leading to an elevated level of NLR were associated with delirium development in elderly geriatric patients.38 It has been suggested that in the mechanism of delirium formation it is the right ratio, or a given balance between immune cells (neutrophils and lymphocytes) is of major importance.38 Differences in the level of derived inflammatory white blood cell ratios (NLR or PWR) between patients with and without delirium may reflect a degree of subclinical inflammation in delirious patients.39

When analyzing the inflammatory pathomechanism of delirium it is obvious that new diagnostic and prognostic inflammatory markers may be reliable to aid delirium diagnosis. Inflammatory markers used in the research setting are usually of no use in clinical practice. Moreover, available research suggests that the markers and pathways involved in the pathophysiology of delirium may differ between specific groups of patients.40 Therefore, simple laboratory factors – CRP, NLR, PWR are of special value to aid the diagnostic process, but their use (including cut-off values) should be designed for certain patient populations. Values derived from blood morphology, platelet count and leucocyte count, namely the platelet-to-WBC ratio may be regarded as a cheap, readily available biomarker, yet further studies are necessary to confirm that the PWR below the level of 20.22 may be used in prognosing post-stroke delirium. The differential white blood cells count analysis is usually done as part of routine blood testing done at admission to the hospital in every patient and can be performed with every automated hematology analyzer.

Study Strengths And Limitations

Our study has strengths and limitations that deserve a comment. The main strength of this investigation is a very homogenous group of patients including only those with first-ever stroke, large number of patients and the prospective character of the study. Diagnosis of delirium may impose a challenge, especially in neurological patients, because of stroke-related speech or visual disorders, mood fluctuations and cognitive impairment. To overcome these problems and minimize the interobserver bias we used CAM-ICU test for delirium screening that has high sensitivity and specificity and can be used both for verbal and non-verbal patients.10,12 Another strength is the selected timeframe for delirium screening – previous studies reported that majority of patients develop delirium during the first 24 hrs.21 Moreover, the authors of a meta-analysis, Shi et al, called for prospective observational studies.1

On the other hand, our study is not without limitations. First, this was a single center sample of patients with acute ischemic stroke and the results may not be adequate to other populations of patients with delirium and lacks generalizability. Second, the homogeneity of the study sample (first-ever stroke) causes that the results may not be applicable to a larger group of patients (stroke in general). Despite these limitations, our study is the first report concentrating on early-onset delirium in first-ever stroke sample of patients. It is advisable to perform further prospective multicenter studies in this groups of patients in different settings to evaluate the role of our preliminary conclusions.

Conclusion

Nearly 16% of patients with first ever acute ischemic stroke developed delirium within 24 hrs of admission after the onset of symptoms. More than twice as many patients with delirium developed any kind of complications, the most common being pulmonary, cardiac and renal problems. The probability of 3-months and one-year survival in patients with delirium was significantly decreased. Atrial fibrillation, higher Rankin score, hemianopia and lower PWR were independently associated with early onset delirium in patients with first ever acute ischemic stroke. This confirms that deprivation of senses and early generalized inflammatory response are critical for delirium development.