Stroke Research and Treatment
Volume 2019 (2019), Article ID 2527384, 9 pages
https://doi.org/10.1155/2019/2527384

Research Article

Cognitive and Emotional Impairment after Minor Stroke and Non-ST-Elevation Myocardial Infarction (NSTEMI): A Prevalence Study

Åse Hagen Morsund,¹ Hanne Ellekjær,² Arne Gramstad,³ Magnus Tallaksen Reiestad,⁴ Rune Midgard,⁵ Sigrid Botne Sando,⁶ Egil Jonsbu,⁷ and Halvor Næss⁸

¹Department of Neurology, Møre and Romsdal Health Trust, Molde hospital, Molde and Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
²Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim and Stroke Unit, Department of Internal Medicine, St Olavs hospital, University Hospital of Trondheim, Norway
³Department of Neurology, Haukeland University Hospital and Department of Biological and Medical Psychology, University of Bergen, Norway
⁴Department of psychiatry, Møre and Romsdal Health Trust, Molde hospital, Molde, Norway
⁵Department of Neurology, Møre and Romsdal Health Trust, Molde hospital, Molde and Unit for Applied Clinical Research, Norwegian University of Science and Technology, Trondheim, Norway
⁶Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim and Department of neurology, St Olavs hospital, University Hospital of Trondheim, Norway
⁷Department of Psychiatry, Møre og Romsdal Health Trust and Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
⁸Department of neurology, Haukeland University Hospital, Centre for age-related medicine, Stavanger University Hospital, Institute of Clinical Medicine, University of Bergen, Norway

Correspondence should be addressed to Åse Hagen Morsund; ase.hagen.morsund@helse-mr.no

Received 4 December 2018; Revised 18 March 2019; Accepted 19 March 2019; Published 1 April 2019

Academic Editor: Jieli Chen

Copyright © 2019 Åse Hagen Morsund et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Aim. To study the prevalence of cognitive and emotional impairment following a minor ischemic stroke compared to an age-matched group with non-ST-elevation myocardial infarction (NSTEMI). Methods. We included patients aged 18-70 years with a minor ischemic stroke defined as modified Rankin Scale (mRS) 0-2 at day 7 or at discharge if before and age-matched NSTEMI patients with the same functional mRS. We applied a selection of cognitive tests and the patients completed a questionnaire comprising of Hospital Anxiety and Depression scale (HADS) and Fatigue Severity Scale (FSS) at follow-up 12 months after the vascular event. Results of cognitive tests were also compared to normative data. Results. 325 ischemic stroke and 144 NSTEMI patients were included. There was no significant difference in cognitive functioning between ischemic stroke and NSTEMI patients. Minor stroke patients and to a lesser extent NSTEMI patients scored worse on more complex cognitive functions including planning and implementation of activities compared to validated normative data. For the minor stroke patients the location of the ischemic lesion had no influence on the result. The prevalence of anxiety, depression, and fatigue was significantly higher in the stroke group compared to the NSTEMI group. Depression was independently associated with reduced cognitive function. Discussion and Conclusion. Minor ischemic stroke patients, and to lesser degree NSTEMI patients, had reduced cognitive function compared to normative data, especially executive functioning, on 12-month follow-up. The difference in cognitive function between stroke and NSTEMI patients was not significant. Depression was associated with low scores on cognitive tests highlighting the need to adequately address emotional sequelae when considering treatment options for cognitive disabilities.

1. Introduction

Acute ischemic stroke is a heterogeneous clinical syndrome and can lead to a variety of physical and cognitive clinical manifestations. Sensorimotor deficits are usually fairly evident, whereas cognitive deficits may be rather inconspicuous. However, a recent review [1] reported that poststroke dementia might affect as many as 30% of stroke patients. Fatigue has been reported in 34.7% of patients following a minor stroke [2].

Patients with minor strokes are thought to have good long-term prognosis. Sensorimotor symptoms are often marginal at admission and improve quickly the first days and weeks. Most patients are discharged directly to their homes and may have no physical neurological deficits at follow-up after few weeks. However, they may have cognitive symptoms compatible with a mild cognitive impairment or dementia [3–8] and suffer from fatigue [2, 9] and emotional symptoms [3, 10] of longer duration. Anxiety following a minor stroke is less explored [3, 11], whereas subsequent depression and fatigue after minor strokes are better known [2, 3, 10]. These symptoms may have substantial impact on daily functions, rehabilitation, and the patients’ ability to stay in employment after an ischemic stroke [3, 12, 13].

High prevalence of cognitive impairment and depression after TIA and minor stroke are discussed in a systematic review from 2014 [3], but only a few of the included studies were of high quality. The studies revealed large variations in methodology and distribution of included cases [3]. The authors concluded that the knowledge of poststroke anxiety was limited. The prevalence of fatigue was high, but the studies were few and lacked relevant comparison groups. A prospective study from Turkey found significant cognitive impairment in patients with minor stroke and transient ischemic attack compared to controls [5], and, in a prospective Swiss study, poststroke fatigue was found in 34.7% at 12 months after a minor stroke [2].

Assessment of cognitive dysfunction and emotional symptoms is not routinely performed during follow-up and knowledge of the long-term impact of cognitive and emotional symptoms is sparse [3, 5], but attention to this issue is growing [13, 14]. There is no consensus on diagnostic criteria for minor stroke [15–19] which hampers research on this topic. There is consequently a need for studies investigating the consequences of cognitive and emotional impairment of minor strokes. The aim of this study was to assess the prevalence of cognitive and emotional impairment, in patients with minor ischemic stroke. Non-ST-Elevation myocardial infarction (NSTEMI) patients were selected as a control-group because both conditions implicate symptomatic vascular disease and related risk factors with the intracerebral lesion as the difference. Comparison with normative data was included for the cognitive tests.

2. Material and Methods

A 12-month follow-up was performed with a selection of cognitive tests and a questionnaire on anxiety, depression, and fatigue. The presence of anxiety and/or depression is defined as emotional impairment. A control group of NSTEMI patients was chosen.

Emotional symptoms in our study is defined as anxiety and depressive symptoms and fatigue.

Patients were as follows: ischemic stroke was defined in accordance to the Baltimore-Washington Cooperative Young Stroke Study Criteria [20] comprising neurological deficits lasting more than 24 hours because of ischemic lesions or transient ischemic attacks where CT or MRI showed infarctions related to the clinical findings. Inclusion criteria were as follows: ischemic stroke patients 18-70 years with minor ischemic stroke defined as mRS 0-2 [21] at day 7 or at discharge if before and TIA-patients with an ischemic lesion verified at MRI. NSTEMI patients aged 18-70 years with mRS 0-2.

Exclusion criteria were as follows: patients with a major stroke defined as mRS > 2 day 7 or at discharge if before and patients with deterioration in mRS to more than 2 in the observational period of any cause. NSTEMI patients with mRS > 2 of any cause.

Recruitment was as follows; ischemic stroke patients were recruited consecutively from stroke units at Molde Hospital, Haukeland University Hospital, and St Olav’s Hospital. Patients from other participating stroke units, Department of Neurology at St Olavs Hospital, Kristiansund Hospital, Volda Hospital, and Aalesund Hospital, were included whenever practical, but not always consecutively. Recruitment period was 01/01/13-12/31/16. NSTEMI patients were recruited from Haukeland University Hospital, Ålesund Hospital, Molde Hospital, and Kristiansund Hospital in the same time.

Baseline investigation was as follows: ischemic stroke patients underwent routine examination with NIHSS [22], traditional risk factors including hypertension, diabetes mellitus, hypercholesterolemia, smoking, BMI ≥ 25, and brain imaging with CT and/or MRI. Patients were treated according to Norwegian guidelines for ischemic stroke. Most patients with mRS ≤ 2 after 7 days or at discharge had no need for further rehabilitation and were discharged to their home.

Demographic data were collected from the initial admission time for the ischemic stroke and NSTEMI.

3. Assessment of Cognitive and Emotional Function

Clock drawing test [23] were used as screening of global cognitive function. Clock drawing test assesses visuospatial function [23]. Trail-making tests A and B, Color-Word interference test, and Verbal fluency (FAS) were used to test executive function [24].The Color-Word interference test is divided into 4 items: color naming, color reading, inhibition and inhibition/switching, testing mental flexibility, mental speed, and inhibition. These tests were drawn from the Delis–Kaplan Executive Function System (D-KEFS). D-KEFS was developed to provide reliable normative data for a range of executive functions [25].

Memory was tested with the CERAD ten-words learning task [26]. CERAD (Consortium to Establish a Registry for Alzheimer’s Disease) is standardized validated test battery for the assessment of Alzheimer disease [26] with normative data adjusted for age and education [27]. Minor stroke and NSTEMI patients were compared with validated normative data for Trail-making test A and B, Color-Word interference test, Verbal fluency, and Ten-word learning task [26, 28].

Scores falling below 1.5 SD of the mean were characterized as abnormal.

Ischemic stroke patients were screened by the Ullevål aphasia screening test [29].

3.1. Questionnaires

Hospital Anxiety and Depression scale (HADS) was used to assess anxiety and depression [30]. A score ≥ 8 on the anxiety (HADS-A) or depression (HADS-D) items indicates possible presence of anxiety or depression disorders [30]; a total score ≥ 15 indicates a mixture of anxiety and depression.

Fatigue Severity scale (FSS) was used to assess fatigue [31]. FSS is a nine-item questionnaire that assesses the effect of fatigue on daily living. Each item is a statement on fatigue that the subject rates from 1, “completely disagree”, to 7, “completely agree”. [32] Fatigue is defined as FSS score ≥ 5 [32].

Cognitive testing was performed by trained research nurses or by the neurologist responsible for the study.

Written informed consent was obtained from the patients for their anonymized information to be published in this article.

The ethics committee of Rogaland, Hordaland, and Sogn and Fjordane (REC west) approved this study (REC no. 2012/1708).

4. Statistics

Student’s t-test was used to assess differences in mean values. Chi square was used to assess differences in categoric variables. Multivariable linear regressions were used to assess association between more than two variables. The level og significans was set to p=.05. All significance testing was done as two-tailed tests.

STATA 14 (Statacorp 4905 Lakeway Drive, College Station, Texas 77845 USA) was used for analyses.

5. Results

In total, 324 ischemic stroke patients were included at admission and followed up at 3 months, and 288 were followed up at 12 months. Either a phone call or a letter recruited the NSTEMI group after their vascular event. 144 of 146 NSTEMI patients who accepted participation completed the questionnaire and cognitive tests. Table 1 shows baseline demographic data on ischemic stroke and NSTEMI patients. The mean age for ischemic stroke patients was significantly lower than for the NSTEMI group, 58 years (SD = 10.0) and 60 years (SD = 6.6), respectively. Proportion of women was significantly higher in the ischemic stroke group. There were significantly more NSTEMI patients who smoked compared to the ischemic stroke patients (p =.04). More NSTEMI patients than ischemic stroke patients were employed (p =.03). The mean value for premorbid mRS in ischemic stroke patients was 0.3 (SD = 0.6), mRS at discharge/day 7 was 1.2 (SD= 0.8), and NIHSS at discharge/day 7 was 0.8 (SD = 1.0). The number of patients treated with antidepressant was 24 (8%) and in the control group 10 (7%).

Table 1: Characteristics of patients and controls at baseline (time for event).

Ischemic stroke n 324 (%)
NSTEMI n 144 (%)
p value

Age (mean)

58.0 (10.0)
60.3 (6.6)
.009

Females

120 (37)
31 (22)
.001

Education (1,2,3)
51 (16)
20 (14)
.07

148 (46)
68 (47)

121 (37)
56 (39)

Employed before event
217 (67)
111 (77)
.03

Risk factors

Hypertension
174 (54)
68 (47)
.2

Diabetes mellitus
39 (12)
22 (15)
.3

Atrial fibrillation
46 (14)
15 (10)
.3

Hypercholesterolemia
151 (47)
80 (56)
.07

Smoking
114 (35)
65 (45)
.04

BMI mean
26.7 (4.4)
27.4 (3.7)
.06

Overweight (BMI≥25)
189 (58)
98 (68)
<.001

1 ≤ 10 years of education, 2 10-13 years of education, ≥ 14 years of education, hypercholesterolemia is defined as treatment with cholesterol lowering medication, and smoking is defined as current smoker or smoking within the last 12 months. SD.

5.1. Cognitive Function

Table 2 shows results of the cognitive tests, HADS, and FSS in ischemic stroke and NSTEMI patients. Cognitive tests were compared with each other and normative data for both groups.

Table 2: Chi square test to compare cognitive tests HAD and FSS among minor ischemic strokes and NSTEMI patients. Proportion of patients and controls with abnormal results based on 5 percentile for normative data. Significant difference with normative data is labeled with.

Ischemic stroke 
N=288(%)
NSTEMI 
N=144 (%)
P-value

10-words learning task
17(6)
9(6)
1.0

10-words learning task, delayed recall
27(10)
12(8)
.7

Trail-making A
15(5)
4(3)
.2

Trail-making B
39(14)
16(11)
.4

Verbal fluency
32(11)
17(12)
.8

Color-Word Interference tests

Color naming
59(20)
20(14)
.09

Color reading
52(18)
17(12)
.07

Color inhibition
58(20)
20(14)
.1

Color inhibition/switching
58(20)
17(12)
.03

Error scores

Naming errors
16(6)
5(3)
.8

Reading errors
29(10)
17(12)
.6

Inhibition errors
18(6)
6(4)
.4

Inhibition/switching errors
25(9)
8(6)
.1

Proportion with ≥2 abnormal cognitive tests
220(77)
122(84)
.05

Questionnaire

HADS
45(16)
0(0)
<.001

HADS-A
52(19)
19(13)
.2

HADS-D
34(9)
9 (6)
.06

FSS (n=279/142)
81(29)
22(15)
.002

Adjusted for age and educational level, tested with 5 minutes delay, scaled score, and cumulative percentage. ⁵Anxiety and/or depression was defined as HADS ≥ 15, anxiety was defined as HADS-A≥8, and depression was defined as HADS-D≥8. Fatigue defined as FSS ≥ 5. p value between ischemic stroke and NSTEMI P value ≤0.05 compared with normative data.

Clock-drawing test score was 5 in both groups, indicating no deficit in either group on this test.

There were no differences between ischemic stroke and NSTEMI patients in Ten-word learning task, Trail-making tests A or B, Verbal fluency, or Color-Word Interference tests except for the subtest Inhibition/Switching (p =.03) where the stroke group scored worse.

Ischemic stroke patients scored worse than normative data for Trail making test B (p =.02), Color naming (p <.001), Color reading (p =.001), Inhibition (p <.001), and Inhibition/Switching (p =.000). NSTEMI patients scored worse than normative data in the subtest Color naming (p =.02) and Inhibition/Switching (p =.02).

The percentage of subjects with ≥2 abnormal cognitive tests was 77% in the ischemic stroke patients, and 84% in the NSTEMI patients (p=.05).

There was a significant gender difference in the color-word inhibition test in the patient group where males soored worse (p=.05), but no significant gender difference in the control group (table available on request).

Table 3 shows that performance on most tests (memory, mental flexibility, mental speed, and inhibition and executive functions) was independently associated with education and depression and, to a lower degree, with age, gender, and fatigue. Stratifying age groups did not change this (table available on request). We performed the same analyses in the stroke and NSTEMI patients separately and found that the association between age and cognitive impairment became significant in one more test (5 of 13 cognitive tests), wheras the result for the NSTEMI group was unchanged. There was an association between diabetes mellitus and color inhibition and between overweight and inhibition error (table ii in suppmelentary data).

Table 3: Linear regression analyses with cognitive tests as dependent variables showing beta values for all independent variables (beta).

Age
Males
Ischemic stroke vs NSTEMI
Higher education
Marital stage
HAD-A
HAD-D
FSS

10-words learning task
-.17
-.18
.19
.15
-.04
-.08
-.03
-.06

10-words learning task- delayed
-.20
-.17
.04
.13
-.05
-.07
-.03
-.13

Trail-making A
-.04
-.002
-.04
.26
-.09
.08
-.09
.02

Trail-making B
-.04
-.08
-.03
.33
-.04
-.03
-.13
-.02

Verbal fluency
-.09
-.10
.01
.30
-.01
.01
-.08
-.10

Color-word interference tests

Color naming
.01
-.12
-.06
.19
-.06
.03
-.19
-.08

Color reading
.08
-.003
-.07
.24
-.02
.12
-.15
-.10

Color inhibition
-.02
-.10
-.08
.27
-.002
.02
-.09
-.13

Color inhibition/switching
-.02
-.09
-.06
.24
.01
.03
-.09
-.15

Error scores

Naming errors
-.11
-.02
-.04
.03
.06
-.02
-.17
.06

Reading errors
-.04
-.11
.04
-.04
.14
.07
.06
-.10

Inhibition errors
-.09
.06
-.06
-.01
-.04
.06
-.13
-.05

Inhibition/switching errors
.06
-.06
-.07
.16
.01
.03
.00
-.13

Not adjusted for age and educational level in a linear model, tested with 5 minutes delay, scaled score adjusted for age, and cumulative adjusted for age percentage. Significant difference with normative data is labeled with .

There were significant differences as a function of laterality in Verbal fluency and the inhibition part of the Color-Word inhibition test, with higher prevalence of deficient scores if infarctions were located in the left versus right hemisphere (Table 4). There were no significant differences in cognitive impairment, anxiety, depression, and fatigue between subcortical and cortical infarctions (Table 4).

Table 4: Chi square analyses of correlation between cognitive and emotional symptoms and location of infarction.

Subcortical infarctions n= 108 (%)
Cortical infarctions n=97 (%)
p
Left side n= 94 (%)
Right side
n= 85 (%)
p

10-word learning task
10 (9.4)
3 (3.1)
.07
7 (7.5)
4 (4.6)
.4

10-word learning task delayed
10 (9.4)
6 (6.3)
.4
7 (7.6)
7 (8.2)
.9

Trail-making A
6 (5.6)
5 (5.2)
.9
5 (5.3)
6 (6.9)
.7

Trail-making B
19 (17.6)
12 (12.4)
.3
17 (18.1)
8 (9.2)
.08

Verbal fluency
15 (13.9)
15 (15.5)
.8
17 (18.1)
7 (8.1)
.05

Color-Word Interference tests

Color naming
23 (21.3)
21 (21.7)
1.0
18 (19.2)
14 (16.1)
.6

Color reading
24 (22.4)
15 (15.5)
.2
21 (22.3)
11 (12.6)
.09

Color inhibition
16 (14.8)
15 (15.6)
.9
21 (22.3)
5 (5.6)
.001

Color inhibition/switching
24 (22.2)
22 (22.3)
.9
21 (22.3)
15 (17.2)
.4

Error scores

Naming errors
6 (5.6)
6 (6.2)
.8
8 (8.5)
5 (5.6)
.5

Reading errors
9 (8.3)
10 (10.3)
.6
8 (8.5)
10 (11.5)
.5

Inhibition errors
8 (7.4)
4 (4.2)
.3
11 (11.8)
5 (5.8)
.2

Inhibition/switching errors
6 (5.6)
10 (10.4)
.2
8 (8.6)
9 (10.3)
.7

No of abnormal cogn tets
40 (38.8)
32 (33.3)
.4
36 (39.6)
24 (28.2)
.1

Questionnaires

HADS
23 (22.6)
11 (12.1)
.06
18 (19.8)
11 (13.4)
.3

HADS-A
25 (24.3)
15 (16.1)
.2
22 (23.9)
12 (14.5)
.1

HADS-D
13 (12.4)
12 (12.9)
.9
11 (12.0)
11 (12.9)
.8

Fatigue severity scale (FSS)
32 (30.2)
24 (25.5)
.5
26 (27.7)
23 (28.1)
1.0

Adjusted for age and educational level, tested with 5 minutes delay, scaled score, and cumulative percentage.Anxiety and/or depression was defined as HADS ≥ 15, anxiety was defined as HADS-A≥8, and depression was defined as HADS-D≥8. Fatigue was defined as FSS ≥ 5.

The mean value of the aphasia score at 12 months in the ischemic stroke patients was 51.7 (SD = 1.1) of a total of 52 points.

Fatigue was as follows: the prevalence of fatigue was higher in the ischemic stroke than NSTEMI patients (29% versus 15%, p =.002).

5.2. Anxiety and Depression

There was a difference in the prevalence of combined anxiety and depression measured by total HADS score between ischemic stroke and NSTEMI patients, with a significantly larger proportion of stroke patients (16%) scoring above the cutoff than NSTEMI patients (0%) (p =.00). However, there were no significant differences in the symptoms of either anxiety (p =.2) or depression (p =.06).

6. Discussion

6.1. Cognitive Function

The differences between patients with ischemic stroke and NSTEMI were not statistically significant on most tests, even though the ischemic stroke patients scored numerically worse on all cognitive tests except verbal fluency and reading errors. This trend may suggest that the ischemic stroke patients have slightly more encompassing cognitive problems than NSTEMI patients do. However, given that ischemic stroke patients have demonstrated brain lesions, it is surprising that the difference on cognitive function between the two groups is so slight. One explanation may be the low NIHSS. We only found a modest association between the risk factors diabetes and overweigt, and impairment of the cognitive tests as shown in table ii in supplemental material. Cerebrovascular risk factors are associated with development of cerebrovascular changes, which increases with increasing age. An age-dependent association between smoking and white matter hyperintensities is found [33]. Our patients population is relatively young, something which may explain the lack of association between cognitive impairment and risk factors. It is known that cerebrovascular risk factors also increases the risk of Alzheimer’s disease [34] and our findings may reflect a preclinical stage of this neurodegenerative disease. NSTEMI patients may also have vascular changes in the brain; this is unknown because no brain imaging was done in the NSTEMI group.

The NSTEMI group scored significantly worse on some cognitive tests compared to the normative data (Table 2), which suggests that NSTEMI patients also have a cerebrovascular disease. This finding is consistent with a prior study that found that cognitive outcomes after a coronary syndrome were similar to minor stroke [35]. Both ischemic stroke and NSTEMI patients may have prior cerebrovascular lesions, but our study has no data on this. We therefore do not know if prior cerebrovascular lesions can explain this lack of difference. Furthermore, many NSTEMI patients are treated with a coronary intervention, which can cause silent infarctions in the brain, even though a recent study did not find significant cognitive impairment after coronary angiography and percutaneous coronary intervention [36, 37]. However, NSTEMI patients in our study are significantly older compared to the minor stroke patients which increases the risk of neurodegenerative diseases such as early Alzheimer’s disease.

The proportion with more than two abnormal cognitive tests was 77% in ischemic stroke patients and 84% in NSTEMI patients. This suggests that both patient groups are associated with a generalized cognitive dysfunction. It also highlights that there are important cognitive sequelae following vascular disease for the majority of the patients regardless of where the disease manifests itself.

Patients with ischemic stroke showed significant deficits in several cognitive domains compared to normative data. Areas of dysfunction include mental flexibility, mental speed, and inhibition. These higher order cognitive functions underpin executive functioning, which encompass supervisory skills that are crucial to successful and purposeful goal-directed behavior [38]. These functions are important in planning and implementation of activities. Impaired executive dysfunction can have detrimental effect on social function and the ability to stay in work.

Increasing age showed significant correlation with lower scores on several cognitive tests, as expected because cerebrovascular changes increase with increasing age. The slight difference in the results of the cognitive tests in the stroke and NSTEMI group is hardly clinical significant. Males showed significantly lower scores on several cognitive tests than females at the same age, despite no difference in educational level, which can possibly be explained by higher load of vascular disease in males [39]. This effect was clearer in the NSTEMI patients.

Employment was more frequent among NSTEMI patients than among ischemic stroke patients even though NSTEMI patients were older. A possible explanation is that some ischemic stroke patients may have had cognitive disabilities prior to the index stroke because of chronic cerebrovascular disease. Perhaps a more insidious onset of cognitive difficulties in the NSTEMI patients permits a gradual accommodation to their vocation despite cognitive difficulties.

The location of the ischemic lesion only influenced two of 13 cognitive tests and did not seem to be a strong determining factor for cognitive function. However, both tests were verbal and were more affected by left hemisphere lesions, which is in the direction expected given that language normally is located in the left hemisphere.

6.2. Fatigue

We found a high prevalence of fatigue among the ischemic stroke patients, which is consistent with prior studies [2, 3, 9, 40–42]. The prevalence in other studies varies between 23 and 40%, compared to 29% in our study. The prevalence in the NSTEMI-group was low compared to the study of Eckhardt et al. [43]. Younger NSTEMI patients and fewer patients with cardiac failure in our study may partly explain these discrepancies.

6.3. Anxiety and Depression

The prevalence of combined anxiety and depression (HADS>15) was significantly higher in the ischemic stroke patients than NSTEMI patients, but the difference in pure anxiety or depression symptoms was not significant. The scores were compared to the prevalence of anxiety and depression in the population-based study of HUNT (The Nord-Trondelag Health study) [44] where about 9% of the population reported elevated anxiety and 5% elevated depression (on HADS). There were significantly more anxiety and depression disorders in the ischemic stroke group than in the study of HUNT. However, this was not the case for the NSTEMI group.

As expected, reported depression was associated with lower scores on some cognitive tests. Cognitive dysfunction among patients with reported depression is a common finding [45]. Reported anxiety was not associated with change in cognitive performance. This finding is in contrast to prior studies investigating a stroke population [46] and in healthy individuals [47]. Both of these studies found that anxiety had a detrimental impact on cognitive functions. Anxiety and depression disorders are treatable and may hamper recovery if untreated. Depression is in itself found to be associated with worsening and enduring cognitive dysfunction even after remission [48]. The current findings of a broad cognitive dysfunction in both patient groups suggest that they may have less cognitive reserves and may therefore be extra vulnerable to events of adverse effects on cognitive function including depression.

Strengths and weaknesses are as follows: strength of this study is the large number of patients and inclusion of controls. It is a multicenter study and reflects the patients in the middle and western part of Norway. The existence of normative data made it possible to detect a significant difference for both patients and controls compared to the normative data.

There are some weaknesses. Recruitment of individuals to the control group was difficult which may have biased selection. Different study nurses and one neurologist performed testing. Some patients live far from the hospital. A long traveling distance may have influenced the ability to concentrate in performing cognitive tests. Lack of registration of proportion of percutaneous coronary intervention (PCI) in the NSTEMI-group is another limitation, because PCI may cause ischemic lesions in the brain as shown in a study from 2016 [36, 37].

7. Conclusion

We found no significant difference in cognitive function between minor ischemic stroke patients and NSTEMI patients. However, the stroke patients and to a lesser degree NSTEMI patients had reduced cognitive function compared to normative data, especially executive function, on long term follow-up. Prevalence of cognitive impairment increased with increasing age. Presence of risk factors and gender seemed not to substantially influence cognitive function. Depression was independently associated with low scores on cognitive tests, suggesting that treatments targeting depression can be a valuable approach to improve cognitive disabilities in these patients. The prevalence of anxiety, depression, and fatigue was significantly higher in the stroke group compared to the NSTEMI group.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Halvor Næss is the main supervisor. He has been involved in protocol development, gaining ethical approval, data analysis, and the first draft of the manuscript. Hanne Ellekjær is a cosupervisor and has been involved in protocol development and advice in the study period. Arne Gramstad is a neuropsychologist and has been involved in protocol development, especially the selection of cognitive tests and data analysis and interpretation. Magnus Tallaksen Reiestad is a neuropsychologist and has been involved in data analysis and interpretation. Rune Midgard is a cosupervisor and has been involved in protocol development. Sigrid Botne Sando has been involved in the protocol development, especially the selection of cognitive tests. Egil Jonsbu has been involved in the protocol development with focus on anxiety and depression tests. All authors reviewed and edited the manuscript and approved the final version of the manuscript.

Acknowledgments

Centre for Neurovascular Diseases, Department of Neurology, Haukeland University Hospital, Research group on Stroke, St Olavs Hospital, Stroke Unit Research nurses, Reidun Lykke Waaler, Ida KK Røyset, Siri Sorken, and Gunn Birgit Ilstad, and statistician, Tor Åge Myklebust, Møre, and Romsdal Health trust are acknowledged. Liaison Committee between the Central Norway Regional Health Authority and the Norwegian University of Science and Technology, and Møre and Romsdal Health Trust funded this work.

Supplementary Materials

Table i. Chi square test of gender differences in risk factors, cognitive tests, HADS, and FSS in minor stroke and NSTEMI patients. Table ii. Linear regression analyses with cognitive tests as dependent variables showing beta values for all independent variables (beta). (Supplementary Materials)

References

M. D. Mijajlovic, A. Pavlovic, M. Brainin, W. D. Heiss, T. J. Quinn, and H. B. Ihle-Hansen, “Post-stroke dementia - a comprehensive review,” BMC Medicine, vol. 15, no. 1, p. 11, 2017.

N. Radman, F. Staub, T. Aboulafia-Brakha, A. Berney, J. Bogousslavsky, and J.-M. Annoni, “Poststroke fatigue following minor infarcts: a prospective study,” Neurology, vol. 79, no. 14, pp. 1422–1427, 2012.

G. M. Moran, B. Fletcher, M. G. Feltham, M. Calvert, C. Sackley, and T. Marshall, “Fatigue, psychological and cognitive impairment following transient ischaemic attack and minor stroke: A systematic review,” European Journal of Neurology, vol. 21, no. 10, pp. 1258–1267, 2014.

A. Bivard, T. Lillicrap, B. Maréchal et al., “Transient ischemic attack results in delayed brain atrophy and cognitive decline,” Stroke, vol. 49, no. 2, pp. 384–390, 2018.

T. Asil, C. Deniz, Y. Celik, T. Ozdemir Gultekin, G. Eryigit Baran, and C. Deniz, “Evaluation and follow-up of cognitive functions in patients with minor stroke and transient ischemic attack,” Neuropsychiatric Disease and Treatment, vol. Volume 12, pp. 2039–2048, 2016.

B. Winblad, K. Palmer, M. Kivipelto, V. Jelic, L. Fratiglioni, LO. Wahlund et al., “Mild cognitive impairment--beyond controversies, towards a consensus: report of the international working group on mild cognitive impairment,” Journal of Internal Medicine, vol. 256, no. 3, pp. 240–243, 2004.

D. Leys, H. Hénon, M.-A. Mackowiak-Cordoliani, and F. Pasquier, “Poststroke dementia,” The Lancet Neurology, vol. 4, no. 11, pp. 752–759, 2005.

P. Sachdev, R. Kalaria, J. O'Brien et al., “Diagnostic criteria for vascular cognitive disorders: A VASCOG statement,” Alzheimer Disease & Associated Disorders, vol. 28, no. 3, pp. 206–218, 2014.

C. Winward, C. Sackley, Z. Metha, and P. M. Rothwell, “A population-based study of the prevalence of fatigue after transient ischemic attack and minor stroke,” Stroke, vol. 40, no. 3, pp. 757–761, 2009.

Y. Z. Shi, Y. T. Xiang, Y. Yang et al., “Depression after minor stroke: the association with disability and quality of life–a 1-year follow-up study,” International Journal of Geriatric Psychiatry, vol. 31, no. 4, pp. 421–427, 2016.

L. Bruggimann, J. M. Annoni, F. Staub, N. Von Steinbüchel, M. Van Der Linden, and J. Bogousslavsky, “Chronic posttraumatic stress symptoms after nonsevere stroke,” Neurology, vol. 66, no. 4, pp. 513–516, 2006.

T. Kauranen, K. Turunen, S. Laari, S. Mustanoja, P. Baumann, and E. Poutiainen, “The severity of cognitive deficits predicts return to work after a first-ever ischaemic stroke,” Journal of Neurology, Neurosurgery & Psychiatry, vol. 84, no. 3, pp. 316–321, 2013.

A. L. Terrill, J. K. Schwartz, and S. R. Belagaje, “Best practices for the interdisciplinary rehabilitation team: a review of mental health issues in mild stroke survivors,” Stroke Research and Treatment, vol. 2018, Article ID 6187328, 2018.

P. Amarenco, P. C. Lavallée, J. Labreuche et al., “One-year risk of stroke after transient ischemic attack or minor stroke,” The New England Journal of Medicine, vol. 374, no. 16, pp. 1533–1542, 2016.

A. Yakhkind, R. A. McTaggart, M. V. Jayaraman, M. S. Siket, B. Silver, and S. Yaghi, “Minor stroke and transient ischemic attack: Research and practice,” Frontiers in Neurology, vol. 7, 2016.

T. H. Park, K. Hong, J. C. Choi et al., “Validation of minor stroke definitions for thrombolysis decision making,” Journal of Stroke and Cerebrovascular Diseases, vol. 22, no. 4, pp. 482–490, 2013.

U. Fischer, A. Baumgartner, M. Arnold et al., “What is a minor stroke?” Stroke, vol. 41, no. 4, pp. 661–666, 2010.

D. Strambo, A. A. Zambon, L. Roveri et al., “Defining minor symptoms in acute ischemic stroke,” Cerebrovascular Disease, vol. 39, no. 3-4, pp. 209–215, 2015.

S. T. Pendlebury, J. Mariz, L. Bull, Z. Mehta, and P. M. Rothwell, “Impact of different operational definitions on mild cognitive impairment rate and mmse and moca performance in transient ischaemic attack and stroke,” Cerebrovascular Disease, vol. 36, no. 5-6, pp. 355–362, 2013.

S. J. Kittner, B. J. Stern, M. Wozniak et al., “Cerebral infarction in young adults: The Baltimore-Washington Cooperative Young Stroke Study,” Neurology, vol. 50, no. 4, pp. 890–894, 1998.

J. P. Broderick, O. Adeoye, and J. Elm, “Evolution of the modified rankin scale and its use in future stroke trials,” Stroke, vol. 48, no. 7, pp. 2007–2012, 2017.

K. W. Muir, C. J. Weir, G. D. Murray, C. Povey, and K. R. Lees, “Comparison of neurological scales and scoring systems for acute stroke prognosis,” Stroke, vol. 27, no. 10, pp. 1817–1820, 1996.

C. Ploenes, S. Sharp, and M. Martin, “The clock test: drawing a clock for detection of cognitive disorders in geriatric patients,” Zeitschrift fur Gerontologie, vol. 27, no. 4, pp. 246–252, 1994.

E. A. Climie and K. Rostad, “Test review: wechsler adult intelligence scaleWechslerD.Wechsler Adult Intelligence Scale (4th ed.). San Antonio, TX: psychological corporation, 2008,” Journal of Psychoeducational Assessment, vol. 29, no. 6, pp. 581–586, 2011.

A. W. Shunk, A. S. Davis, and R. S. Dean, “TEST REVIEW: Dean C. Delis, Edith Kaplan &amp; Joel H. Kramer, Delis Kaplan Executive Function System (D-KEFS), The Psychological Corporation, San Antonio, TX, 2001. $415.00 (complete kit),” Applied Neuropsychology, vol. 13, no. 4, pp. 275–227, 2006.

G. G. Fillenbaum, G. van Belle, J. C. Morris et al., “Consortium to Establish a Registry for Alzheimer's Disease (CERAD): The first twenty years,” Alzheimer’s & Dementia, vol. 4, no. 2, pp. 96–109, 2008.

J. C. Morris, A. Heyman, R. C. Mohs, J. P. Hughes, G. van Belle, G. Fillenbaum et al., “The consortium to establish a registry for alzheimers disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimers disease,” Neurology, vol. 39, no. 9, pp. 1159–1165, 1989.

S. Homack, D. Lee, and C. A. Riccio, “Test review: delis-kaplan executive function system,” Journal of Clinical and Experimental Neuropsychology, vol. 27, no. 5, pp. 599–609, 2007.

B. Thommessen, G. E. Thoresen, E. Bautz-Holter, and K. Laake, “Screening by nurses for aphasia in stroke- the Ullevaal Aphasia Screening (UAS) test,” Disability and Rehabilitation, vol. 21, no. 3, pp. 110–115, 2009.

I. Bjelland, A. A. Dahl, T. T. Haug, and D. Neckelmann, “The validity of the Hospital Anxiety and Depression Scale: an updated literature review,” Journal of Psychosomatic Research, vol. 52, no. 2, pp. 69–77, 2002.

J. E. Schwartz, L. Jandorf, and L. B. Krupp, “The measurement of fatigue: A new instrument,” Journal of Psychosomatic Research, vol. 37, no. 7, pp. 753–762, 1993.

H. Naess, L. Lunde, J. Brogger, and U. Waje-Andreassen, “Fatigue among stroke patients on long-term follow-up. the bergen stroke study,” Journal of the Neurological Sciences, vol. 312, no. 1-2, pp. 138–141, 2012.

S. H. Kim, C. Yun, S. Lee, K. Choi, M. B. Kim, and H. Park, “Age-dependent association between cigarette smoking on white matter hyperintensities,” Neurological sciences : official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, vol. 33, no. 1, pp. 45–51, 2012.

S. Norton, F. E. Matthews, D. E. Barnes, K. Yaffe, and C. Brayne, “Potential for primary prevention of Alzheimers disease: an analysis of population-based data,” The Lancet Neurology, vol. 13, no. 8, pp. 788–794, 2014.

I. Volonghi, S. T. Pendlebury, S. J. Welch, Z. Mehta, and P. M. Rothwell, “Cognitive outcomes after acute coronary syndrome: a population based comparison with transient ischaemic attack and minor stroke,” Heart, vol. 99, no. 20, pp. 1509–1514, 2013.

K. I. Paraskevas, D. P. Mikhailidis, F. J. Veith et al., “The incidence and the risk factors of silent embolic cerebral infarction after coronary angiography and percutaneous coronary interventions,” Angiology, vol. 67, no. 5, pp. 433–437, 2016.

J. Jurga, P. Tornvall, L. Dey, J. van der Linden, N. Sarkar, and M. von Euler, “Does Coronary Angiography and Percutaneous Coronary Intervention Affect Cognitive Function?” American Journal of Cardiology, vol. 118, no. 10, pp. 1437–1441, 2016.

E. Strauss, EM. Sherman, and O. Spreen, “A compendium of neuropsychological tests: Administration, norms, and commentary,” American Chemical Society, 2006.

L. S. Robison, O. J. Gannon, A. E. Salinero, and K. L. Zuloaga, “Contributions of sex to cerebrovascular function and pathology,” Brain Research, 2018.

A. Nakling, D. Aarsland, H. Næss et al., “Cognitive deficits in chronic stroke patients: neuropsychological assessment, depression, and self-reports,” Dementia and Geriatric Cognitive Disorders Extra, vol. 7, no. 2, pp. 283–296, 2017.

S. T. Pendlebury, S. Wadling, L. E. Silver, Z. Mehta, and P. M. Rothwell, “Transient cognitive impairment in TIA and minor stroke,” Stroke, vol. 42, no. 11, pp. 3116–3121, 2011.

J. A. Harbison, S. Walsh, and R. A. Kenny, “Hypertension and daytime hypotension found on ambulatory blood pressure is associated with fatigue following stroke and TIA,” QJM: An International Journal of Medicine, vol. 102, no. 2, pp. 109–115, 2009.

A. L. Eckhardt, H. A. DeVon, M. R. Piano, C. J. Ryan, and J. J. Zerwic, “Fatigue in the Presence of Coronary Heart Disease,” Nursing Research , vol. 63, no. 2, pp. 83–93, 2014.

E. Stordal, I. Bjelland, A. A. Dahl, and A. Mykletun, “Anxiety and depression in individuals with somatic health problems. The nord-trondelag health study (HUNT),” Scandinavian Journal of Primary Health Care, vol. 21, no. 3, pp. 136–141, 2003.

L. Culpepper, R. W. Lam, and R. S. McIntyre, “Cognitive impairment in patients with depression: Awareness, assessment, and management,” Journal of Clinical Psychiatry, vol. 78, no. 9, pp. 1383–1394, 2017.

A. Grosdemange, V. Monfort, S. Richard, A. Toniolo, X. Ducrocq, and B. Bolmont, “Impact of anxiety on verbal and visuospatial working memory in patients with acute stroke without severe cognitive impairment,” Journal of Neurology, Neurosurgery & Psychiatry, vol. 86, no. 5, pp. 513–519, 2015.

K. E. Vytal, B. R. Cornwell, A. M. Letkiewicz, N. E. Arkin, and C. Grillon, “The complex interaction between anxiety and cognition: Insight from spatial and verbal working memory,” Frontiers in Human Neuroscience, vol. 7, p. 93, 2013.

A. Hammar and G. Ardal, “Cognitive functioning in major depression: a summary,” Frontiers in Human Neuroscience, vol. 3, p. 26, 2009.