Archives of Clinical Neuropsychology 37 (2022) 531–543

Monthlong Intubated Patient with Life-Threatening COVID-19 and
Cerebral Microbleeds Suffers Only Mild Cognitive Sequelae
at 8-Month Follow-up: A Case Report

1

Department of Rehabilitation Medicine, Danderyd University Hospital, Stockholm, Sweden
2
Department of Clinical Sciences, Karolinska Institutet, Stockholm, Sweden
3
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
4
Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
5
Department of Psychology, Stockholm University, Stockholm, Sweden

*Corresponding author at: Department of Rehabilitation Medicine, Danderyd University Hospital, Entrévägen 6, 182 88 Stockholm, Sweden.
Tel.: +46 762465140; E-mail address: linda.a.backman@gmail.com (L. Backman)
This article is a thorough rework of a minor case report examination paper from a neuropsychology specialist
course given by the Psychology Department of Stockholm University.
Accepted 25 August 2021

Abstract
Objective: To elaborate on possible cognitive sequelae related to COVID-19, associated cerebrovascular injuries as well as
the general consequences from intensive care. COVID-19 is known to have several, serious CNS-related consequences, but
neuropsychological studies of severe COVID-19 are still rare.
Methods: M., a 45-year-old man, who survived a severe COVID-19 disease course including Acute Respiratory Distress
Syndrome (ARDS), cerebral microbleeds, and 35 days of mechanical ventilation, is described. We elaborate on M’s recovery
and rehabilitation process from onset to the 8-month follow-up. The cognitive functions were evaluated with a comprehensive
screening battery at 4 weeks after extubation and at the 8-month follow-up.
Results: Following extubation, M. was delirious, reported visual hallucinations, and had severe sleeping difficulties. At about
3 months after COVID-19 onset, M. showed mild to moderate deficits on tests measuring processing speed, working memory,
and attention. At assessments at 8 months, M. performed better, with results above average on tests measuring learning, memory,
word fluency, and visuospatial functions. Minor deficits were still found regarding logical reasoning, attention, executive
functioning, and processing speed. There were no lingering psychiatric symptoms. While M. had returned to a part-time job, he
was not able to resume previous work-tasks.
Conclusion: This case-study demonstrates possible cognitive deficits after severe COVID-19 and emphasizes the need of a
neuropsychological follow-up, with tests sensitive to minor deficits. The main findings of this report provide some support that
the long-term prognosis for cognition in severe COVID-19 may be hopeful.
Keywords: COVID-19; Case Report; Assessment; Rehabilitation; ARDS; Executive functions
Introduction

Coronaviruses commonly cause mild upper respiratory tract infections, but some strains may cause severe acute respiratory
syndrome (SARS), Middle East respiratory syndrome, and coronavirus disease-19 (COVID-19), which may result in severe
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/license
s/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial
re-use, please contact journals.permissions@oup.com
https://doi.org/10.1093/arclin/acab075 Advance Access publication 17 September 2021

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Linda Backman1,2, *, Marika C. Möller1,2 , Eric P. Thelin3,4 , Daniel Dahlgren1 , Catharina Deboussard1,2 ,
Gunilla Östlund1 , Maria Lindau5

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Case Presentation
Patient Background and Medical History

The patient (M.) described is a 45-year-old man with a Bachelor’s degree. M. had a total of 16 years of education, in which
4 years of studies was at university level. Premorbid cognitive function was estimated to be at least “high average” due to
educational background and biography reports from the patient history. This estimate is consistent with M’s later result in the
Block Design Subtest from Wechsler Adult Intelligence Scale IV (WAIS-IV), in which the performance was approximately one
standard deviation (SD) above average. In an anamnestic interview, M. mentioned that he considered himself as a bit impulsive
and restless compared with others, but these traits had not been causing any known functional impairment. By the time of the
SARS-CoV-2 infection, the patient was living with his family in a Swedish suburb, working full-time as a senior financial
consultant. Prior to COVID-19, the patient reported feeling physically healthy, although with a weight of 150 kg and a height
of 186 cm resulting in a Body Mass Index of 43.36 kg•m−2 (clinical obesity). He also suffered from type 2 diabetes, mellitus
ulcerative proctitis, and hypertension. Twelve months prior to the hospitalization, M. reported minor symptoms of anxiety, stress,
and dysthymia, for which he received sertraline (100 mg•day−1 ) and a few sessions of cognitive behavioral therapy, which he
found helpful. In summary, there were no reports of cognitive decline, serious psychiatric symptoms, or any other noticeable
cognitive impairment before the patient was sickened with COVID-19.

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respiratory tract infections and multi-organ failure (Cheng, To, Tse, Hung, & Yuen, 2012; Lu et al., 2020). Age (>45 years) is
one of the strongest predictors for hospitalization due to COVID-19 (Kass, Duggal, & Cingolani, 2020). Other factors that may
lead to a more severe disease course in younger patients include obesity, presumably by reducing the respiratory function and
lung volume, (for an extensive review, see Yu, Rohli, Yang, & Jia, 2020), diabetes mellitus (Lim, Bae, Kwon, & Nauck, 2020),
hypertension, and cerebrovascular disorders (Yu et al., 2020). Although COVID-19 usually does not lead to hospitalization, there
is evidence suggesting direct neuroviral and neuroinvasive harm to the central nervous system (CNS), especially in severe cases
(Helms et al., 2020; Ritchie, Chan, & Watermeyer, 2020). However, the neurological manifestations could also be the result of
postinfectious immune–mediated processes (Almeria, Cejudo, Sotoca, Deus, & Krupinski, 2020).
It has been shown that a large number of Intensive Care Unit (ICU) patients show long-term psychiatric, motor, and cognitive
deficits after hospital discharge; something currently known as Post Intensive Care Syndrome (PICS) (Desai, Law, & Needham,
2011; Sasannejad, Ely, & Lahiri, 2019). The incidence of PICS is estimated to 25%–75% of all ICU-treated patients and
the cognitive consequences associated include memory impairment, attention, and executive functioning deficits (Korupolu,
Francisco, Levin, & Needham, 2020; Merbitz, Westie, Dammeyer, Butt, & Schneider, 2016; Needham et al., 2012). PICS is
especially common after surviving Acute Respiratory Distress Syndrome (ARDS) which in turn has an incidence estimated to
33% of all patients hospitalized with COVID-19 and ∼66% of all COVID-19 patients requiring ICU care (Tzotzos, Fischer,
Fischer, & Zeitlinger, 2020). It has even been shown that one year after hospitalization, one-third of the survivors of ARDS
show neuropsychological test scores equivalent to those after moderate traumatic brain injury (Pandharipande et al., 2013).
The long-term sequelae after severe COVID-19 is still unknown, but we do know that critically ill COVID-19 patients
frequently present with ARDS and require prolonged mechanical ventilation in ICU, which is a potent risk factor for longterm cognitive decline (Bulic et al., 2017; Jayaswal, Sampath, Soohinda, & Dutta, 2019). Studies including comprehensive
neuropsychological evaluations of patients who have suffered severe COVID-19 are still scarce. Zhou and colleagues (2020)
found a significant positive correlation between higher c-reactive protein, a common marker of inflammation, and higher reaction
time and more errors in the Continuous Performance Test (a measure of sustained attention and inhibition) for the COVID-19
group compared with healthy matched controls. Almeria and colleagues (2020) concluded in a single center cohort study that
the presence of neurological symptoms during COVID-19, such as headache, anosmia, and dysgeusia, were risk factors for
later display of cognitive deficits regarding memory, executive functions, and attention. Need for oxygen therapy and reports
of digestive problems were also connected to the deficits of attention and executive functions in Almeria and colleagues (2020)
study. To our knowledge, apart from these two retrospective studies, no extensive cognitive work-up has been assessed in patients
with COVID-19.
As we now see increasing evidence of direct or indirect impacts of COVID-19 on the CNS, it is most likely that health care
workers in post-intensive care and rehabilitation facilities will face more cognitive complaints from patients once the respiratory
syndrome is in remission. Hence, it is of substantial scientific and clinical relevance to describe the cognitive consequences
of COVID-19. Therefore, we present a case of a 45-year-old man, M., with obesity and diabetes mellitus who survived severe
COVID-19 after 35 days of critical care. The objective of the following case report was to elaborate on possible cognitive
sequelae related to COVID-19 as well as associated cerebrovascular injuries.

L. Backman et al. / Archives of Clinical Neuropsychology 37 (2022); 531–543

533

Table 1. Timeline
Timeline of important clinical events, symptoms, and assessments

1
6

M. is at home, onset of COVID-19 symptoms (fever, dry cough, and nausea)
First visit at the Emergency department. M. is diagnosed with COVID-19 but sent home because he did not need supplemental oxygen therapy
(oxygen saturation 93% in activity), with instructions to return if his condition deteriorated
Emergency department visit number two. M. presents with worsen dyspnea and hypoxia (oxygen saturation of 70%) and is sent to ICD
ICD. M. is treated with noninvasive ventilation but is not able to maintain an oxygen saturation over 90%. He is therefore admitted to the ICU.
Admission to ICU
Intubated during the first day of ICU. Discussions of treatment escalation (ECMO), but was denied due to obesity
Renal failure, start of dialysis. Bacterial infections, treated with antibiotics
Extubated. Taken out of sedation. M. is delirious, disoriented, and reports visual hallucinations. Reports of severe sleeping disorders.
Back to ICD. M. is still delirious and confused
Consultation and assessment by rehabilitation medicine specialist. M. is disoriented and MoCA-screening shows cognitive deficits (9 p out of
maximum 18). CAM-S indicate confusion
Head MRI. CMBs are discovered
M. is moved to the rehabilitation In Care department. Delirium and confusion are now in full remission
First neuropsychological assessment
Oxygen therapy is discontinued
Discharged from hospital and in care rehabilitation
Follow-up out care rehabilitation
Second neuropsychological assessment

12
12
13
14
15
46
48
51
53
60
72
77
95
156
227

M. became critically ill with COVID-19, requiring intubation and mechanical ventilation at Day 14 after confirmed
illness (Table 1). Initially, the prognosis was poor, and despite intense attempts to treat the severe respiratory distress, the
situation escalated with bacterial infections, acute renal damage, and multi-organ failure. Contact was established with the
extracorporeal membrane oxygenation (ECMO) department as the situation deteriorated, but his obesity disqualified him from
such interventions. At this point, the situation was so dire that the family was called in to the ICU to say their final farewell.
However, M. slowly began to respond to treatments, and after 4 weeks in the ICU, M. stabilized, was extubated, and transferred to
an intermediate care department (ICD). During the first two weeks after critical care, M. presented as confused and disoriented
and was diagnosed with delirium. Signs of delirium were reported from extubation, Day 46, to approximately Day 58, two
days before M. was moved to the rehabilitation department. The delirium was categorized as a mixed variant with fluctuations
between a state of irritability and visual hallucinations and periods of drowsiness and slowed motor function. M. reported severe
nightmares, had disturbing visual hallucinations, and experienced severe sleeping disorders the first two weeks after extubation.
In the ICU, he was administered orally clonidine (maximum of 600 μg•day−1 ) and olanzapine (maximum of 20 mg•day−1 ),
which were both gradually tapered and discontinued within the first week of intermediate care. At about Day 51 after COVID19 onset, a rehabilitation specialist physician performed a short cognitive screening assessment with Confusion Assessment
Method-Short (Item Ia, acute change in mental status: yes; Item Ib, fluctuation of abnormal behavior: yes; Item II, inattention:
yes, Item III, disorganized thinking: yes; Item IV: no [alert]) and selections from the Montreal Cognitive Assessment (MoCa),
which indicated confusion and deficits in the areas of working memory, orientation, arithmetics, immediate and delayed memory
retention, and verbal abstraction. Only a targeted selection of MoCa was performed in which M’s score was 9 out of a maximum
of 18 (Delayed Memory: 2 of 5, Attention: 2 of 5, Abstraction: 1 of 2, Orientation: 4 of 6). At this time, M. reported symptoms of
increased anxiety. M. received an ICU-diary from the nurses, an intervention that has proven efficient for minimizing symptoms
of trauma (McIlroy, King, Garrouste-Orgeas, Tabah, & Ramanan, 2019).

Diagnostic Assessment

M. was diagnosed with COVID-19 at Day 6 after developing symptoms through a reverse transcriptase-polymerase chain
reaction positive for SARS-CoV-2-RNA obtained from a nasopharyngeal swab. On Day 12, when admitted to the ICD, a
computed tomography of the chest revealed bilateral, extensive pulmonary infiltrates, consistent with COVID-19. At Day 15,
the patient tested positive for the presence of SARS-CoV-2 IgG in serum. Repeated testing for SARS-CoV-2-RNA in serum
from Day 13 and onward came back negative.

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Day

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Physical Examination

At the physical examination (PE) performed at the ICD at about Day 51 after first symptoms, M. was awake but disoriented,
with a Glasgow Coma Scale score of 14 out of 15. An Oxygen saturation of 98% was noted with 2 l•min−1 of oxygen flow
through an open mask. Arterial blood gas analysis revealed a mild hypercapnia due to hypoventilation. At a bedside neurological
examination, there were no abnormalities found on examination of the cranial nerves. A general muscular weakness was
detected without focal deficits. Deep tendon reflexes were normal in the upper extremities but symmetrically absent in the
lower extremities (knee and ankle). The clinical pattern raised a suspicion of a possible critical illness polyneuropathy, but
no confirmatory neurophysiological examination was conducted. M. was transferred to an inpatient rehabilitation department
9 days later, still in need of supplementary oxygen. At the PE, the first day after moving M. to the rehabilitation ward (Day 60),
he was no longer in a confusional state and was fully oriented. As before, he suffered from a general weakness, now with the
addition of postural and intention tremor. Laboratory findings suggested a mild anemia with Hemoglobin 101 g•L−1 (reference:
134–170 g•L−1 ) but otherwise interpreted as nonsignificant with regard to complete blood cell count, thyroid function test, and
basic metabolic panel.
Clinical follow-up was performed 5 months after onset of COVID-19. At follow-up, M. reported remaining physical and
cognitive symptoms and recurring nausea when coughing, resulting in some difficulty eating. M. had no remaining need of
oxygen but suffered from dyspnea when walking at a slow pace. The lowest saturation during the 6-min walk test was estimated
to 89% after 2 min. M. also suffered from low-grade intermittent fever after physical activity and myalgia. Neurological
examination only showed sensory deficit on the upper part of the left leg. There were no objective signs of heart failure and
chest X-ray showed minor residual linear opacities. M. reported no lingering anosmia or dysgeusia.
Imaging

The Department of Radiology at Danderyds’ Hospital uses the following pulse sequences in detecting cerebral lesions
following ICU care on magnetic resonance imaging (MRI): T1, T2, susceptibility weighted intensity (suscepibility weighted
imaging [SWI], sensitive for cerebral microbleeds [CMBs]), fluid attenuated inversion recovery, and diffusion weighted imaging
(sensitive for ischemic lesions). An MRI of the head performed on Day 53 showed a few supra- and infratentorial CMBs located
in the right temporal lobe (Fig. 1A), left basal ganglia (Fig. 1B), and right cerebellar hemisphere (Fig. 1C).
Clinical Neuropsychological Findings

In the first session with the clinical neuropsychologist, M. reported mental fatigue, short-term memory deficits, and an
overall feeling of being less vigilant and not as attentive as before. The nightmares, visual hallucinations, and disorientation

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Fig. 1. Susceptibility weighted imaging (SWI) MRI of the patient’s brain. (A) Highlights (white ring) a CMB in the right temporal lobe, (B) shows a CMB in
the basal ganglia in the left hemisphere, whereas (C) shows an infratentorial CMB.

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535

Cognitive Domains with Results Corresponding to Estimated Premorbid Level
Verbal Learning, Immediate, and Delayed Verbal Memory

M’s performance in the early assessment showed high average performance on tests measuring verbal learning and high
average performance on tests of delayed verbal recall (RBANS List Learning and List Delayed Recall). In the follow-up after 8
months, performance levels on similar tests were even higher. Immediate Word List recall scores were estimated as very superior
and delayed recall was at a high average level (RAVLT). This probably reveals a recuperation.
Visuospatial/Constructional Ability

Aside from a small possible reduction on the RCFT at the follow-up, M. performed at a high average level in more complex
and demanding tests sensitive to visuospatial/constructional ability (RBANS Line Orientation, WAIS-IV Block Design). M.
reached the maximum score on RBANS Line Orientation, so the modest normed score result (high average) should probably
represent a ceiling effect.
Verbal Fluency

Semantic, category, and switching word fluency measured with D-KEFS Verbal Fluency Test were estimated as above average
to very superior both at the initial assessment and at the follow-up.
Executive Functions

Regarding the executive function, the results were mixed. No deficits were present in the early assessment which contained a
test selection that was only partly comprehensive: BADS Key Search (visual planning and problem solving) and Rule Shift Cards
(inhibition and switching). Possible deficits regarding executive functioning as seen on the follow-up assessment are discussed
in the following subsection.

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had gradually subsided the first two weeks following extubation. At the time of the assessment, 72 days after being diagnosed,
M. was no longer troubled by symptoms of anxiety. By administering the Post Traumatic Checklist-5, Post Traumatic Stress
Disorder (PTSD) was ruled out. Cognition was assessed using a local protocol for neuropsychological screening and follow-up
used at the current rehabilitation clinic. The protocol for the early assessment consisted of a selection of tests from the screening
battery Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) A. To test in-depth executive functioning,
we used Key Search and Rule Shift Cards from Behavioral Assessment of the Dysexecutive Syndrome (BADS), Trail Making
Test 1–5 (TMT), and Word Fluency Test from the test battery Delis Kaplan Executive Functioning System (D-KEFS). The test
protocol for the follow-up consisted of partly corresponding tests (Matrixes, Digit Span, Block Design, Coding) from WAIS-IV,
TMT (retest of the same version of TMT 1–5 as in the first assessment), Color Word Inhibition Test, and Verbal Fluency Test
from D-KEFS with Zoo Map from BADS. Learning, immediate, and delayed memory were assessed with Rey Auditory Verbal
Learning Test (RAVLT) and visuospatial/constructional ability, visual attention, and visual memory with Rey Complex Figure
Copying Test (RCFT) and Rey Complex Figure Test–Delayed Recall.
The performance levels on both assessments were generally high, with a few exceptions, demonstrating a good cognitive
recovery. To interpret the results from Table 2, it is important, particularly in cases like this, to emphasize that an average or
low average performance in tests may be a representation of a minor or moderate cognitive decline, if the premorbid cognitive
function, like in this particular case, was considered to be “high average” or above. The existence of change in neuropsychological
tests is harder to document in cases in which the patient has a high premorbid functioning in combination with suspicion of
minor or more subtle deficiencies (Franzen, Burgess, & Smith-Seemiller, 1997). Comparing an individual’s performance to
a population average score is appropriate only when the performance is not related to education (Lezak, Howieson, Loring,
& Fischer, 2004). Even minor cognitive deficits can be of great occupational importance, if the premorbid occupation is
intellectually demanding. For example, a small difference in processing speed and decision-making may affect productivity,
notably in M’s occupation where quick decisions could be crucial. It is also important to note that RBANS is a battery known
for notable ceiling effect, especially on the subtests of visuospatial functioning, visual memory, and naming. Maximum raw score
on these tests translated to a scaled score does not attain higher levels than average or upper average. In tests with ceiling effects,
it is easy for a high performing individual to attain a maximum score, despite having for her/himself subtle, but noticeable,
difficulties in everyday life.

Reference group, age
40–49

Functions

Tests

RBANSb List learning

8
20
17
15
23

62
21
—

31–34
31–34
74–84
0
30–38
22
57–53
64–60

Alphabetical automation

Visual motor speed,
flexibility and switching
Motor speed
Naming

Reading

Inhibition

Flexibility and switching

Verbal letter fluency
Verbal category fluency
Verbal fluency category
switching
Working memory
Working memory

Visuospatial/constructional

WAIS-IV Block Design

—

15 (F7R4)i
—

—
24–25

—

47
—

17

43–47

67
—
66

57

—

—

—

57
—

57

43

57

57
55
50
60

57
60
50
33

38–40
39–41
14

—

—

—

42

20
20
10
41

6.3 (1.9)
20
13.5 (3.3)
22–44

18.4 (1.4)
17
9.4 (1.1)
49.8 (8.1)

63

T-valuea

—

mild (R4)i
—

no
—
no

—

—

—

no
—

no

yes, mild

no

no
no
no
no

no
no
no
yes, moderate

no

Discrepancy from
estimated premorbid
level

—
—
—
—
—
—
—
yes
no
no
yes
no
no
no
possible
no
no
no
no
—
possible in reversed
no

—
—
—
—
—
—
—
43
60
60
57
63
50
53
53
60
67
80
70
—
57
60

57
60
19
—
29
(F6R5S7)j
56

48

49

20

69 (12
errors)
11
28

19

20

—
—
—
28

—
—
—
—

Continued

—

—

—

Discrepancy from
estimated premorbid
level

T-value

Patient raw
score

Assessment 2. Day 227

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RBANS Figure Copy
RBANS Line Orientation
RBANS Picture Naming
RBANS Coding

RBANS List Recall
RBANS List Recognition
RBANS Figure Recall
D-KEFSc TMT 1 Visual
Scanning
D-KEFS TMT 2 Number
Sequencing
D-KEFS TMT 3 Letter
Sequencing
D-KEFS TMT 4
Number-Letter Sequencing
D-KEFS TMT 5 Motor Speed
D-KEFS Color-Word Color
Naming
D-KEFS Color-Word Word
Reading
D-KEFS Color-Word
Inhibition
D-KEFS Color-Word
Inhibition/Switching
D-KEFS 1 Word Fluency FAS
D-KEFS 2 Category Fluency
D-KEFS 3 Category
Switching
WAIS-IIId Digit Span
WAIS-IVe Digit span

36

Patient raw
score

Assessment 1. Day 72

Verbal learning immediate
memory
Visuospatial/constructional
Visuospatial/constructional
Naming
Attention and processing
speed
Delayed verbal memory
Delayed memory recognition
Delayed visual memory
Visual scanning and
visuomotor speed
Visual motor speed

27.6 (4.4)

Normative average
score and (SD)

Neuropsychological investigation

Table 2. Results on neuropsychological assessment Day 72 and Day 227

536
L. Backman et al. / Archives of Clinical Neuropsychology 37 (2022); 531–543

64–69

18–19
2.60 (1.32)

Attention and processing
speed

Perceptual reasoning
Visual planning and problem
solving
Inhibition and switching
Planning, complex condition

WAIS-IV Coding correct
0–30 seconds
31–60 seconds
61–90 seconds
91–120 seconds
WAIS-V Matrix Reasoning
BADSf Key Search

See above

Verbal learning/immediate
learning
Delayed verbal memory
Visuospatial/constructional
Delayed visual memory

BADS Zoo Map (1 and 2)

Rey AVLTg learning
10.0 (2.9)
34.5
18–18.5

49.0 (8.0)

2.44 (1.13)

—

b

—
—
—

—

—

—

4
—

—
4

—

Patient raw
score

—
—
—

—

—

—

55
—

—
66

—

T-valuea

Assessment 1. Day 72

—
—
—

—

—

—

no
—

—
no

—

Discrepancy from
estimated premorbid
level

14
33
23

—
Sequence 4
(6 errors)
Sequence 8
(0 error)
Profile total
2
65

56
17
14
13
14
15
—

Patient raw
score

no
yes
no
no
yes
no

—
46
70
63
43
57

yes
—

43
—

—
yes

yes

47

—
46

Discrepancy from
estimated premorbid
level

T-value

Assessment 2. Day 227

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T-value has a mean of 50 and an SD of 10.
RBANS = Repeatable Battery for the Assessment of Neuropsychological Status.
c
D-KEFS = Delis-Kaplan Executive Function System.
d
WAIS III = Wechsler Adult Intelligence Scale Third Edition.
e
WAIS IV = Wechsler Adult Intelligence Scale Fourth Edition.
f
BADS = Behavioral Assessment of the Dysexecutive Syndrome.
g
Rey AVLT = Rey Auditory Verbal Learning Test.
h
Rey CF = Rey-Osterrieth Complex Figure Test.
i
(F7R4) = Maximal number of digits Forward 7, Reversed 4.
j
(F6R5S7) = Maximal number of digits Forward 6, Reversed 5, Sequencing 7.

a

Rey AVLT 30 min
Rey CFh Copy
Rey CF immediate memory

Planning, structured condition

BADS Zoo Map version 2.

3.56 (0.78)
2.44 (1.13)

Reference group, age
40–49

Functions

Tests

BADS Rule Shift
BADS Zoo Map version 1.

Normative average
score and (SD)

Neuropsychological investigation

Table 2. Continued

L. Backman et al. / Archives of Clinical Neuropsychology 37 (2022); 531–543
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L. Backman et al. / Archives of Clinical Neuropsychology 37 (2022); 531–543

Possible Deficits—Results from Both Assessments Showing Discrepancy Compared with Estimated Premorbid Level
Processing Speed, Attention, and Working Memory

Logical/Perceptual Reasoning

On the neuropsychological evaluation at the 8-month follow-up (Day 227), the test results showed mild to moderate deficits
compared with estimated premorbid level on measures of nonverbal logical reasoning (Matrix reasoning). The early assessment
did not include tests of perceptual logical problem solving, so we do not know if this reduction was present then, but it could be
assumed.
Executive Functions

Regarding executive functioning, there were as mentioned above mixed findings. A possible mild reduction was seen on a
selection of tests measuring inhibition, planning, and switching at the follow-up assessment. M. had difficulties with performance
on BADS Zoo Map (a measure of planning and goal orientation) and a relatively poor performance with more errors than
expected (12) on Trail Making Test 4, a test sensitive to attention, flexibility/switching and alternating attention. On Color
Word Inhibition Test, measuring primarily verbal inhibition, the result shows a possible mild deficit compared with estimated
premorbid level.
Delayed Visual Memory

Tested initially with RBANS Figure Recall and at the follow-up with delayed recall of the similar test Rey Complex Figure,
show average results on both early and follow-up assessment. Both of these tests are sensitive to deficits in spatial working
memory, but the RBANS Figure Recall test also has a noticeable ceiling effect; therefore, it is primarily the RCFT-result that
possibly could be interpreted to reveal a small cognitive reduction.
Subjective Cognitive Complaints and Occupational Status

At the 8-month follow-up, M. reported subjectively as being slower, more easily fatigued and having troubles with decisionmaking in his daily life. He had not yet been able to return to his former occupational level as a full-time employment in an
academic field; M. was working only 2 hours a day, currently with a less intellectually demanding work.
Discussion

The main finding of this case study was that the neuropsychological assessment did not disclose any serious cognitive
deficiencies, despite that M. had gone through a severe COVID-19 infection, including multi-organ failure, prolonged intubation,
delirium, and presented structural brain injuries on a head-MRI. According to both the early and the 8-month follow-up
neuropsychological assessment, M’s mental abilities were generally preserved with the exception of mild to moderate deficits
on tests sensitive to processing speed, working memory, attention, and aspects of executive functioning. The deficits seen on the
later follow-up assessment were, compared with the results of the early assessment, minor and were considered deficits mainly in
comparison to assumed premorbid level which was estimated to be “high average.” It is important to emphasize that a relatively
small reduction of cognitive functions, like the one shown here, could lead to serious impact on everyday life functioning. At

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The results from the early assessment showed a significant, moderate (at least ∼2 SD) deficit on the subtest Coding from
RBANS A. At follow-up, the result on the corresponding test (WAIS-IV Coding) was significantly higher (now average), but still
considered a minor decline compared with the estimated premorbid profile. At the WAIS Coding test, a decrease in performance
over time was observed, which is notable because an increase in symbol production is expected at a normal performance (Möller,
Bartfai, Nygren de Boussard, Rådestad, & Calissendorff, 2014). Thus, the result indicated cognitive fatigability. Additionally,
small deficits were suspected on the subtest Trail Making Test 3 (sensitive to attention, speed, visual scanning) and Digit Span
Reversed (a measure of auditory working memory) on the early assessment. Results on Trail Making Test 1 (visual scanning,
processing speed, attention) and Digit Span Reversed were lower than expected at follow-up assessment. The suspected cognitive
decline seen on a selection of tests at the early assessment (Coding, Digit Span, and Trail Making Test 3) was comparatively
smaller at the follow-up assessment, but results on these tests were still estimated as a relative shortcoming in the profile.

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the 8-month follow-up, M. had not yet been able to return to his former level of occupational functioning. He reported feeling
less sharp and attentive and was subjectively easily fatigued.
How can we understand M’s mild and selective but lingering cognitive deficits, resulting in a significant occupational
dysfunction?
It is widely known among clinicians that the Wechsler and RBANS processing speed subtest (including Coding) has an
overall sensitivity to most clinical conditions such as autism, learning difficulties, hormonal disturbances, and neurological
conditions such as concussion. According to Holdnack, Prifitera, Weiss, and Saklofske (2016), a result below expected level in
tests sensitive to processing speed, such as the deficit presented in both neuropsychological assessments here, should always be of
clinical interest and require further testing and monitoring. Difficulties in Coding could in rare cases be a result of perfectionism.
In Coding, perfectionism can clinically manifest as a preoccupation with writing the characters as accurately as possible, at the
expense of speed, even though it is emphasized to conduct the test as fast as possible. In M’s observed test performance, there
were neither noticeable signs of perfectionism in Coding nor in other tests, for example, during RBANS Figure Copy.
It seems likely to assume that M’s deficits on tests are caused by the severe COVID-19, but we do not fully comprehend
the underlying pathophysiological mechanisms. There are many possible explanations. One partial explanation to the cognitive
decline may be the occurrence of postcovid-fatigue, which has been recognized as one of the most common presenting complaints
affecting an estimate of 50% of COVID-19 survivors 10 weeks after symptom remission (Townsend et al., 2020). However,
Townsend and colleagues (2020) found no association between the severity of the infection (need for inpatient care, oxygen,
or critical care) and postinfection fatigue. Interestingly in the work by Townsend et al., a pre-existing diagnosis of depression
and anxiety were overrepresented in patients reporting fatigue. Fatigue is one of the more debilitating symptoms following
respiratory collapse, after ICU-care and generally after acquired brain injury. More than two-thirds of ARDS survivors reported
clinically significant fatigue symptoms during the first year (Neufeld et al., 2020). Researchers are now starting to examine the
role of the so-called Post-infectious Fatigue Syndrome in lingering COVID-19. This syndrome has previously been described
after different types of infectious agents such as SARS and herpes simplex infections, and the lingering chronic fatigue following
each illness appears to be quite similar (Komaroff & Bateman, 2021). An objection that could be made by an attentive clinician
is that the results of the assessments in some ways are self-contradictory. Despite minor deficits on tests measuring processing
speed, attention, and working memory, as seen in both assessments, the results also include average or superior performance on
other tests sensitive to corresponding domains. This uneven performance level may be explained by irregular mental/cognitive
fatigue due to fluctuating attention or simply test order in the administration of tests. Interestingly, M. complained both about
fatigue and showed cognitive fatigability. Hypothetically, this could be related to altered connectivity as CMB and especially
those that affect thalamocortical connectivity have been shown to cause cognitive impairment (Wang et al., 2019). In previous
studies, but in patients with, for example, multiple sclerosis or traumatic brain injury, thalami-cortical connectivity has been
shown to be linked to fatigue (Dobryakova, DeLuca, Genova, & Wylie, 2013) and fatigability (Möller, Nordin, Bartfai, Julin, &
Li, 2017).
It is likely to assume that the CMBs located supra- and infratentorially seen on M’s MRI-scans occurred during the
hospitalization period. It has been shown that CMB occurs in other patients that receive ICU care (Fanou et al., 2017), not making
it specific for COVID-19. In a large MRI-study (n = 3,979), Poels and colleagues (2012) disclose an association between a higher
number of CMB with lower scores and worse performance on tests of processing speed and motor speed in neuropsychological
tests. Due to the limited number of studies having performed post-ICU head MRI, it is unknown how widespread CMBs are
following ICU care. Neither do we know if CMBs, together with other ICU related factors, are independently associated with
cognitive symptoms (Neufeld et al., 2020). However, in an MRI-study of nine patients diagnosed with COVID-19 and ARDS
(Fitsiori, Pugin, Thieffry, Lalive d’Epinay, & Vargas Gomez, 2020), neurological manifestations were connected to unusual
CMBs seen on MRI. According to a French study by Lersy and colleagues (2020), the etiology of the CMBs in COVID-19
survivors is believed to be a blood–brain barrier dysfunction, secondary to hypoxemia and high concentrations of uremic toxins
(caused by renal failure). The occurrence and number of CMBs was also higher among patients, like M., that were in need
of endotracheal intubation. The presence of five or more CMB (in contrast to three that M. had) was associated with worse
performance in all cognitive domains, except memory. Similarly, Agarwal and colleagues (2020) defined the presence of five or
more CMB as a critical threshold and noted that these patients had a significantly worse outcome compared with patients with
fewer CMBs. However, while M. did not suffer from any detectable focal neurological deficits as a result of CMB, it is plausible
that even fewer than five CMBs could result in cognitive deficits, as the location can be more crucial to how much cognitive
functions are affected (Warren et al., 2014). In summary, CMBs affecting cognition are presumably more common than what is
previously known following ICU care, and have been seen following COVID-19 ICU treatment, such as in M in our case-study.
Mechanical ventilation is a potent risk factor for long-term cognitive decline (Bulic et al., 2017; Jayaswal et al., 2019). Acute
hypoxia, which could be suspected after ARDS, is also well known to have a negative effect on global cognition (McMorris,
Hale, Barwood, Costello, & Corbett, 2017). In addition, the occurrence of delirium in the postacute phase, which affects roughly

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Limitations of the Study and Future Research

As a case report, the study suffers from the limitation of not automatically being generalizable to a larger sample. The optimum
would have been to conduct a controlled, prospective study with a larger, representative sample. However, during a pandemic
that in Sweden has only lasted for just over a year, the possibilities of conducting planned, controlled studies are extremely
limited. Another limitation is that not all tests were applied during both assessments. Despite these limitations, we believe that it
is important to shed some light on the neuropsychological consequences of COVID-19, and we believe M’s case well represents
the disease course and rehabilitation of seriously ill COVID-19 patients.
The assessments of mild cognitive symptoms in this study largely depend on comparisons with the estimated premorbid
level. The fact that this estimation was not made with any formal instrument can, of course, be questioned. The approach used
instead was the best performance level (on the WAIS), which is an established method for making estimations of the premorbid
cognitive level (Lezak, Bigler, & Tranel, 2012), which guarantees a certain reliability in the present estimation. The validity of
the best performance level as “high average” was also strengthened by the fact that M. had completed an academic Bachelor’s
degree and performed an intellectually demanding job. Using this kind of demographic information as estimates of premorbid
level is in line with clinical practice when exact measures of premorbid level are unavailable.
Neuropsychological assessment is very much about identifying typical test profiles for different clinical conditions. When it
comes to COVID-19, the question of typical test profiles is complicated by that fact that it is necessary to discriminate between
different stages of the disease course: acute phase, early postacute phase, and late postacute phase, as well as to pay attention to
the degree of severity of the infection (Kamal, Abo Omirah, Hussein, & Saeed, 2021). One problem is that there do not appear
to exist any definitions of the duration in time of the various disease phases. One way to circumvent this problem is to indicate
how long after the illness the examination was performed (Mattioli et al., 2021). With this in mind, the test profile of M. in
an estimated late postacute phase revealed mild deficits in logical reasoning, different aspects of executive functioning, and
processing speed. Thus, the primary contribution that the current study makes to the knowledge about the neuropsychological
consequences of COVID-19 is to present a late postacute test profile of a severely ill patient. A second contribution is that the
study raises awareness of the need to apply test batteries that capture the typical test profile of COVID-19. Such batteries must
also take into account the different phases of the disease and be sensitive to both mild and moderate cognitive abnormalities,
not just extensive ones. Future research will tell to what extent these tests used in the present study catches what could be
considered as a typical postacute neuropsychological symptomatology of COVID-19, and if the pattern of selective cognitive
decline observed in this study coincides with postacute cognitive sequelae in other COVID-19 patients, other related infectious
diseases, or just from general ICU care.
A third contribution is that this case study emphasizes the need to monitor the patient’s cognition after the acute phase (Kamal
et al., 2021). In addition to closing the above-mentioned gaps in current research, a proposal to future research is thus to conduct
longitudinal neuropsychological studies aimed at identifying early predictors of long-term cognitive problems after COVID-19.

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80% of survivors from ICU, is associated with adverse outcomes including long-term cognitive impairment (Brummel et al.,
2014). The patient in this case report did show several of these risk factors known to predict long-term cognitive and psychiatric
consequences: for example, 35 days in mechanical ventilation, ARDS, multi-organ failure in addition to delirium and psychiatric
symptoms after anesthesia. Because of his pre-existing obesity and diabetes mellitus, M. had an even higher risk of developing
a severe disease trajectory. With this in mind, we may have expected more pervasive and severe cognitive decline in the areas of
memory, sustained attention, and executive functioning (Almeria et al., 2020; Zhou et al., 2020). The protective factors present,
which may partly explain this recovery, were M’s relatively young age, high education (Marra et al., 2018), and the fact that he
had no prior cognitive deficits, indicating a good cognitive reserve. We know from the research on PICS that the consequences
after ICU have more impact on the cognition of already vulnerable patients, for example, those who suffer from dementia (Lee,
Kang, & Jeong, 2020).
After undergoing a life-threatening episode at ICU, like M., lingering psychiatric symptoms would be expected, particularly
symptoms of anxiety and PTSD. Fortunately, M’s psychiatric symptoms: hallucinations, nightmares, flashbacks, and anxiety,
did withdraw within 2 weeks after sedation. Early on, M. received an ICU-diary, which is an evidence-based intervention aimed
at minimizing the occurrence of PTSD (McIlroy et al., 2019). According to Almeria and colleagues (2020), newly developed
psychiatric symptoms were associated with later subjective cognitive complaints, but not linked to deficits in tests. It is possible
that M’s mild but pre-existing anxiety and depression could have affected cognitive ability, but the fact that M. did not experience
any occupational dysfunction before sickened with COVID-19 speaks against that hypothesis. In summary, it does not seem
likely that the psychiatric symptoms could have caused the neurocognitive decline seen in the assessments.

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541

Conclusion

Patient Perspective

After the hospital discharge, M. was pleased with the rehabilitation staff, training, and the progress made. With respect to the
severe delirium symptoms at the ICU, he was anticipating a long-term disability regarding cognitive and psychiatric sequelae. At
the follow-up, M. was notably less optimistic about his chances of returning to his former occupational level. He was appreciative
regarding continued rehabilitation follow-up, which is still ongoing.
Informed Consent

The patient has given us informed consent and therefore permission to publish this case report.
Conflict of Interest

None declared.
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