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. 2022 Mar 7;29(6):1663–1684. doi: 10.1111/ene.15293

Short‐ and long‐term outcome and predictors in an international cohort of patients with neuro‐COVID‐19

Ettore Beghi 1,, Raimund Helbok 2, Serefnur Ozturk 3, Omer Karadas 4, Vitalie Lisnic 5, Oxana Grosu 5,6, Tibor Kovács 7, Levente Dobronyi 7, Daniel Bereczki 7, Maria Sofia Cotelli 8, Marinella Turla 8, Eugenia Irene Davidescu 9, Bogdan Ovidiu Popescu 10, Franco Valzania 11, Francesco Cavallieri 11, Hanno Ulmer 12, Luis F Maia 13, Anne Hege Amodt 14, Carmel Armon 15, Waldemer Brola 16, Gryb Victoria 17, Anis Riahi 18, Ingomar Krehan 19, Tim von Oertzen 20, Mohammed A Azab 21, Michael Crean 22, Maria Lolich 22, Maria João Lima 23, Johann Sellner 24, Julian Perneczky 25, Tom Jenkins 26, Sara Meoni 27, Elisa Bianchi 1, Elena Moro 28,29, Claudio L A Bassetti 30,31; the ENERGY Study Group [Link]
PMCID: PMC9111799  PMID: 35194889

Abstract

Background and purpose

Despite the increasing number of reports on the spectrum of neurological manifestations of COVID‐19 (neuro‐COVID), few studies have assessed short‐ and long‐term outcome of the disease.

Methods

This is a cohort study enrolling adult patients with neuro‐COVID seen in neurological consultation. Data were collected prospectively or retrospectively in the European Academy of Neurology NEuro‐covid ReGistrY ((ENERGY). The outcome at discharge was measured using the modified Rankin Scale and defined as ‘stable/improved’ if the modified Rankin Scale score was equal to or lower than the pre‐morbid score, ‘worse’ if the score was higher than the pre‐morbid score. Status at 6 months was also recorded. Demographic and clinical variables were assessed as predictors of outcome at discharge and 6 months.

Results

From July 2020 to March 2021, 971 patients from 19 countries were included. 810 (83.4%) were hospitalized. 432 (53.3%) were discharged with worse functional status. Older age, stupor/coma, stroke and intensive care unit (ICU) admission were predictors of worse outcome at discharge. 132 (16.3%) died in hospital. Older age, cancer, cardiovascular complications, refractory shock, stupor/coma and ICU admission were associated with death. 262 were followed for 6 months. Acute stroke or ataxia, ICU admission and degree of functional impairment at discharge were predictors of worse outcome. 65/221 hospitalized patients (29.4%) and 10/32 non‐hospitalized patients (24.4%) experienced persisting neurological symptoms/signs. 10/262 patients (3.8%) developed new neurological complaints during the 6 months of follow‐up.

Conclusions

Neuro‐COVID is a severe disease associated with worse functional status at discharge, particularly in older subjects and those with comorbidities and acute complications of infection.

Keywords: COVID‐19, neurological disorders, outcome, predictors, SARS‐CoV‐2


From July 2020 to March 2021, 971 patients from 19 countries were included. 810 (83.4%) were hospitalized during the acute phase of the COVID‐19 infection, of whom 432 (53.3%) were discharged with worse functional status and 132 (16.3%) died in hospital. 262 were followed for 6 months: 75/262 patients (28.6%) experienced persisting neurological symptoms/signs, whilst 10/262 patients (3.8%) developed new neurological complaints during the 6 months of follow‐up.

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INTRODUCTION

The spectrum of coronavirus disease 2019 (COVID‐19) includes several neurological manifestations that, when present, are associated with higher severity and worse outcome [1, 2, 3, 4]. However, neurological symptoms, signs and diagnoses in patients with COVID‐19 (neuro‐COVID) vary according to the target populations, setting (inpatients vs. outpatients), diagnostic criteria and the background of those in charge of data collection [5]. At present, there are only few publications with follow‐up, mainly from single centre studies [6] or non‐hospitalized patients [7], or based on self‐reports [8], electronic databases [9, 10], small samples [11], or with short follow‐up [12, 13] or high attrition rates [14]. Thus, available evidence is insufficient to define the full spectrum of neuro‐COVID and verify how patients’ profile (demographics, baseline clinical features) and acute manifestations of infection predict the outcome of the disease.

On this background, an international registry of patients with COVID‐19 and neurological symptoms, signs or diagnoses was established for a better understanding of the disease spectrum, along with risk factors, comorbidities and outcome [15]. The advantage of such a registry is the investigation of a large sample of patients from various countries, from which data on neuro‐COVID are collected using uniform diagnostic criteria and standardized methods.

The aims of this study were (1) to compare the outcome of neuro‐COVID at hospital discharge and at 6 months with patients’ profile (comorbidities, general and neurological findings during the acute phase) and find outcome predictors; (2) to illustrate the demographic and clinical features of inpatients and outpatients with neuro‐COVID from different countries; (3) to define incidence and types of new neurological manifestations after the acute phase.

PATIENTS AND METHODS

A multinational registry of patients with neuro‐COVID was activated in May 2020 by the European Academy of Neurology (EAN) to provide epidemiological data on neurological signs and symptoms in patients with COVID‐19 infection reported by neurologists in outpatient services, emergency rooms and hospital departments (the EAN NEuro‐covid ReGistrY, ENERGY). Details on the ENERGY structure and organization have been published [15]. Briefly, all neurologists participating in the registry were asked to record neurological symptoms, signs and diagnoses in clinically or laboratory‐confirmed COVID‐19 patients in an electronic case record form (e‐CRF) (Appendix S1). Data were collected prospectively or retrospectively and included patients’ demographics and lifestyle habits, comorbidities, date of first symptoms of infection, hospital and intensive care unit (ICU) admission, incident general and neurological manifestations during the acute phase, diagnostic tests and outcome. Each variable was reported as ‘Yes’, ‘No’ or ‘Unknown’. In addition, for each documented neurological manifestation, the local investigator was asked to indicate whether or not it was associated with COVID‐19.

All adult patients with symptoms and/or signs and/or diseases requiring neurological consultation were eligible for inclusion. A guide is included in the e‐CRF (Appendix S2) to define each variable and facilitate data collection in the e‐CRF at study entry and during follow‐up. Registration and follow‐up of eligible patients is ongoing.

All registered patients were followed through telephone contacts at 6 and 12 months. At each contact, the modified Rankin Scale (mRS) score was assigned and new neurological manifestations were noted; for patients who died, date of death and, if performed, autopsy were noted. As the mRS is reliable even when applied by telephone [16], in addition to follow‐up, functional disability at baseline was measured enquiring of patients or caregivers their pre‐morbid functional status.

Descriptive statistics were performed on all variables collected during the acute phase in the entire sample and comparing hospitalized and non‐hospitalized patients and prospective and retrospective observations. The outcome of the infection, in terms of functional impairment, was defined as ‘stable/improved’ if mRS at discharge was equal to or lower than the baseline score; ‘worse’ if mRS score at discharge was higher than the baseline score. Stable/improved and worse outcome were also assessed in patients who died during hospital stay compared to those discharged alive.

Neurological symptoms, signs and diagnoses persisting at 6 months were listed. The demographic and clinical profile of patients with new neurological manifestations occurring during follow‐up was illustrated. The same methods were used to assess the effect of variables collected during the acute phase or at discharge on the 6‐month outcome.

The association of all variables included in the registry with outcome (worse vs. stable/improved) and status (dead vs. alive) at hospital discharge was evaluated using univariable logistic regression models. Variables identified as statistically significant in univariable models were included in multivariable models, and a stepwise selection (with p < 0.05 as the criterion for entering and removing effects) was applied to identify variables most strongly associated with the outcome and status at discharge. Results of univariable and multivariable logistic regression models are presented as odds ratios (ORs) and adjusted odds ratios with 95% confidence intervals (CIs). Significance was set at the 5% level (0.05).

For demographic and lifestyle variables, mRS and outcome, the number of missing data was reported in the tables and indicated as unknown or missing. For all other variables, ‘unknown’ values were grouped with ‘No’. For neurological findings, the categories ‘present, not COVID associated’ and ‘present, likely COVID associated’ were combined. Data presented as numbers with percentages or as means with standard deviations or medians and ranges were calculated only in subjects with the corresponding values.

The study was approved by the ethics committees of all participating sites and informed consent was obtained from all eligible patients in line with each participating country's legal requirements.

RESULTS

As of 31 March 2021, 1004 patients were enrolled. COVID‐19 infection was not laboratory‐confirmed in 33 cases, which were excluded from further analyses. The final sample included 971 patients from 19 countries (Europe 14; Asia 2; Africa 2; South America 1) (Table 1). A flowchart of the study is illustrated in Figure 1.

TABLE 1.

Confirmed COVID‐19 cases, hospitalized and not hospitalized cases

All COVID‐19 confirmed (n = 971) a Hospitalized (n = 810) Not hospitalized (n = 154) p value
n % n % n %
Country
Austria 66 6.80 64 7.90 2 1.30 <0.0001
Brazil 3 0.31 1 0.12 2 1.30
Egypt 6 0.62 5 0.62 1 0.65
Estonia 0 0.00 0 0.00 0 0.00
France 22 2.27 19 2.35 3 1.95
Hungary 101 10.40 85 10.49 16 10.39
Israel 30 3.09 30 3.70 0 0.00
Italy 165 16.99 96 11.85 69 44.81
Macedonia 1 0.10 1 0.12 0 0.00
Moldova 118 12.15 116 14.32 2 1.30
Norway 50 5.15 39 4.81 11 7.14
Poland 26 2.68 9 1.11 17 11.04
Portugal 56 5.77 53 6.54 0 0.00
Romania 84 8.65 84 10.37 0 0.00
Russia 13 1.34 7 0.86 6 3.90
Switzerland 42 4.33 22 2.72 19 12.34
Tunisia 19 1.96 14 1.73 5 3.25
Turkey 145 14.93 141 17.41 1 0.65
Ukraine 24 2.47 24 2.96 0 0.00
Sex
Male 497 51.18 434 53.58 59 38.31 0.0033
Female 466 47.99 368 45.43 95 61.69
Intersex 2 0.21 2 0.25 0 0.00
Unknown 6 0.62 6 0.74 0 0.00
Smoking
Yes 122 12.56 109 13.46 13 8.44 0.0949
No 729 75.08 606 74.81 120 77.92
Unknown 120 12.36 95 11.73 21 13.64
Source of COVID‐19 contact
Occupation 75 7.72 42 5.19 33 21.43 <0.0001
Family member 168 17.30 119 14.69 46 29.87
Social 86 8.86 66 8.15 18 11.69
Travel 17 1.75 16 1.98 1 0.65
Other 61 6.28 61 7.53 0 0.00
Unknown 564 58.08 506 62.47 56 36.36
Median (n) IQR Median (n) IQR Median (n) IQR
Age at COVID onset 63 (909) 48–74 66 (751) 52–76 48 (151) 34–61 <0.0001
BMI 25 (840) 23–28 26 (706) 23–29 24 (130) 22–28 0.0455
n % n % n %
Any comorbidity 619 63.75 565 69.75 49 31.82 <0.0001
Hypertension 505 52.01 464 57.28 36 23.38 <0.0001
Diabetes type 1 8 0.82 8 0.99 0 0.00 0.2054
Diabetes type 2 206 21.22 191 23.58 14 9.09 <0.0001
Cardiovascular disease 289 29.76 269 33.21 17 11.04 <0.0001
Chronic kidney disease 88 9.06 87 10.74 1 0.65 <0.0001
Chronic liver disease 37 3.81 37 4.57 0 0.00 0.0057
Chronic pulmonary disease 93 9.58 86 10.62 6 3.90 0.0136
Anaemia 50 5.15 47 5.80 3 1.95 0.0389
Cancer 85 8.75 80 9.88 4 2.60 0.0055
Immunosuppressed state 50 5.15 44 5.43 6 3.90 0.3712
Other non‐neurological comorbidity 232 23.89 216 26.67 15 9.74 <0.0001
Dementia 86 8.86 79 9.75 6 3.90 0.0275
Parkinson's disease 35 3.60 21 2.59 14 9.09 0.0001
Stroke: ICH, ischaemic stroke, TIA 154 15.86 147 18.15 6 3.90 <0.0001
Multiple sclerosis 47 4.84 19 2.35 28 18.18 <0.0001
Motor neuron disease 4 0.41 3 0.37 1 0.65 0.6501
Neuromuscular disorder 12 1.24 11 1.36 1 0.65 0.4395
Neuropathy 34 3.50 31 3.83 3 1.95 0.2157
Other neurological disease 99 10.20 82 10.12 16 10.39 0.8675
COVID systemic complications 501 51.60 480 59.26 17 11.04 <0.0001
Dyspnoea 503 51.80 453 55.93 46 29.87 <0.0001
Pneumonia 528 54.38 501 61.85 22 14.29 <0.0001
Cardiovascular 121 12.46 117 14.44 1 0.65 <0.0001
Renal insufficiency/dialysis 65 6.69 65 8.02 0 0.00 0.0002
Coagulation disorder/disseminated intravascular coagulation 45 4.63 44 5.43 1 0.65 0.0080
Refractory shock 38 3.91 37 4.57 0 0.00 0.0183
Extra‐corporeal membrane oxygenation (ECMO) 5 0.51 5 0.62 0 0.00 0.3176
Mechanical ventilation 121 12.46 116 14.32 0 0.00 <0.0001
Neurological findings 747 76.93 633 78.15 107 69.48 0.0434
Headache 394 40.58 310 38.27 81 52.60 0.0010
Hyposmia/hypogeusia 291 29.97 199 24.57 90 58.44 <0.0001
Dysautonomia 139 14.32 107 13.21 31 20.13 0.0274
Vertigo 194 19.98 159 19.63 32 20.78 0.5409
Myalgia 284 29.25 202 24.94 80 51.95 <0.0001
Sleep disorders 161 16.58 120 14.81 39 25.39 0.0009
Cognitive impairment (including dysexecutive syndrome) 288 29.66 256 31.60 32 20.78 0.0029
Hyperactive delirium 122 12.56 111 13.70 10 6.49 0.0163
Hypoactive delirium/acute encephalopathy 112 11.53 106 13.09 6 3.90 0.0007
Stupor/coma 124 12.77 119 14.69 4 2.60 <0.0001
Syncope 51 5.25 46 5.68 5 3.25 0.1813
Seizures/status epilepticus 81 8.34 76 9.38 5 3.25 0.0085
Meningitis/encephalitis 42 4.33 38 4.69 4 2.60 0.2087
Stroke 253 26.06 244 30.12 6 3.90 <0.0001
Tremor 68 7.00 60 7.41 8 5.19 0.2681
Chorea 1 0.10 1 0.12 0 0.00 0.6556
Dystonia 18 1.85 18 2.22 0 0.00 0.0562
Myoclonus 15 1.54 15 1.85 0 0.00 0.0818
Dyskinesia 12 1.24 9 1.11 3 1.95 0.4301
Parkinsonism 26 2.68 21 2.59 5 3.25 0.7217
Ataxia 86 8.86 78 9.63 8 5.19 0.0573
Spinal cord disorder 38 3.91 36 4.44 2 1.30 0.0557
Peripheral neuropathy 92 9.47 85 10.49 7 4.55 0.0150
Other neurological findings 121 12.46 106 13.09 15 9.74 0.1859
Hospital admission 810 83.42 810 100.00 0 0.00 <0.0001
ICU admission 227 23.38 224 27.65 0 0.00 <0.0001
Pre‐morbid mRS
0 488 52.87 381 48.97 104 75.36 <0.0001
1 153 16.58 132 16.97 20 14.49
2 95 10.29 84 10.80 10 7.25
3 96 10.40 90 11.57 4 2.90
4 64 6.93 64 8.23 0 0.00
5 27 2.93 27 3.47 0 0.00
Missing 48 32 16
Discharge mRS
0 264 28.12 170 21.49 94 64.83 <0.0001
1 158 16.83 128 16.18 30 20.69
2 116 12.35 101 12.77 15 10.34
3 130 13.84 123 15.55 6 4.14
4 88 9.37 87 11.00 0 0.00
5 51 5.43 50 6.32 0 0.00
6 132 14.06 132 16.69 0 0.00
Missing 32 19 9
Outcome
Worse b 448 49.12 432 56.10 14 10.07 <0.0001
Stable/improved b 464 50.88 338 43.90 125 89.93
Not available 59 40 19

Abbreviations: BMI, body mass index; ICH, intracerebral haemorrhage; ICU, intensive care unit; IQR, interquartile range; mRS, modified Rankin Scale; TIA, transient ischaemic attack.

a

Setting was unknown in seven cases: Portugal three, Switzerland one, Turkey three.

b

Worse outcome, mRS score at discharge higher than pre‐morbid mRS score; stable/improved outcome, mRS score at discharge equal to or lower than pre‐morbid mRS score.

FIGURE 1.

FIGURE 1

Study flowchart

With few exceptions, there were no major differences in the general characteristics of prospective compared to retrospective cases (Table S1). There were 497 men and 466 women (plus eight intersex or unknown) aged 16–101 years (median 63; interquartile range [IQR] 48–74). One or more comorbidities were present in 619 cases (63.75%). The most frequent was hypertension (52.0%), followed by cardiovascular disease (29.8%) and diabetes (22.0%). A history of transient ischaemic attacks or stroke (154 cases, 15.9%), dementia (86 cases, 8.9%) and Parkinson's disease (35 cases, 3.6%) were the commonest neurological comorbidities.

In all, 810 patients (83.4%) were hospitalized. Compared to non‐hospitalized patients, hospitalized patients were older, more often men, with one or more baseline comorbidities, and with functional impairment at baseline (Table 1). Functional disability at admission (mRS 2+) was present in 34.1% of hospitalized patients and 10.6% of non‐hospitalized cases. Hospitalized patients experienced more systemic COVID‐19 complications and had more neurological manifestations during the acute phase. The most common neurological complaints/manifestations during the acute phase included headache (38.2% in hospitalized and 52.6.9% in non‐hospitalized patients), cognitive impairment (31.6% vs. 20.8%), stroke (30.1% vs. 3.9%), delirium (26.7% vs. 10.4%), hyposmia/hypogeusia (24.6% vs. 58.4%), sleep disorders (14.8% vs. 25.4%), myalgias (24.9% vs. 51.9%) and stupor/coma (14.7% vs. 2.6%). 224 patients (27.6%) were admitted to the ICU.

At discharge, the proportion of hospitalized patients with functional impairment (mRS 2+) increased to 62.3% (vs. 14.5% of non‐hospitalized subjects). 432 hospitalized patients (53.3%) were discharged with a worse functional status compared to admission (Table 2, columns A). Compared to patients who improved or were stable, patients with worse outcome were older, had more non‐neurological (hypertension, cardiovascular and renal diseases) and neurological comorbidities (history of transient ischaemic attacks or stroke, dementia) and presented more systemic complications during the acute phase. Stroke was the most common neurological manifestation in patients with worse outcome (40.7%) followed by cognitive impairment (34.0%), headache (31.0%), stupor/coma (23.6%) and myalgia (20.8%). In contrast, in patients with stable/improved outcome the commonest manifestations were, in decreasing order, headache (48.2%), hyposmia/hypogeusia (32.3%), myalgias (30.5%), vertigo (23.4%) and cognitive impairment (20.7%).

TABLE 2.

Outcome at discharge (only confirmed and hospitalized COVID‐19 cases)

A p value B p value
Worse outcome a (n = 432) Stable/improved outcome a (n = 338) Alive (n = 659) Dead (n = 132)
n % n % n % n %
Country
Austria 35 8.10 22 6.51 <0.0001 52 7.89 10 7.58 <0.0001
Brazil 0 0.00 1 0.30 1 0.15 0 0.00
Egypt 0 0.00 1 0.30 5 0.76 0 0.00
Estonia 0 0.00 0 0.00 0 0.00 0 0.00
France 15 3.47 3 0.89 14 2.12 4 3.03
Hungary 28 6.48 56 16.57 75 11.38 10 7.58
Israel 8 1.85 22 6.51 24 3.64 6 4.55
Italy 70 16.20 23 6.80 69 10.47 26 19.70
Macedonia 0 0.00 1 0.30 1 0.15 0 0.00
Moldova 97 22.45 19 5.62 89 13.51 27 20.45
Norway 23 5.32 7 2.07 31 4.70 0 0.00
Poland 4 0.93 3 0.89 7 1.06 0 0.00
Portugal 35 8.10 18 5.33 44 6.68 9 6.82
Romania 51 11.81 33 9.76 56 8.50 28 21.21
Russia 2 0.46 5 1.48 7 1.06 0 0.00
Switzerland 6 1.39 5 1.48 17 2.58 1 0.76
Tunisia 10 2.31 4 1.18 11 1.67 3 2.27
Turkey 48 11.11 92 27.22 132 20.03 8 6.06
Ukraine 0 0.00 23 6.80 24 3.64 0 0.00
Sex
Male 237 54.86 170 50.30 0.1716 349 52.96 69 52.27 0.6373
Female 193 44.68 162 47.93 302 45.83 63 47.73
Intersex 1 0.23 1 0.30 2 0.30 0 0.00
Unknown 1 0.23 5 1.48 6 0.91 0 0.00
Smoking
Yes 40 9.26 67 19.82 <0.0001 100 15.17 8 6.06 0.0027
No 336 77.78 240 71.01 492 74.66 101 76.52
Unknown 56 12.96 31 9.17 67 10.17 23 17.42
Source of COVID‐19 contact
Occupation 13 3.01 25 7.40 0.0002 39 5.92 1 0.76 <0.0001
Family member 50 11.57 61 18.05 103 15.63 12 9.09
Social 31 7.18 34 10.06 51 7.74 14 10.61
Travel 9 2.08 6 1.78 15 2.28 0 0.00
Other 44 10.19 16 4.73 38 5.77 22 16.67
Unknown 285 65.97 196 57.99 413 62.67 83 62.88
Median (n) IQR Median (n) IQR Median (n) IQR Median (n) IQR
Age at COVID onset 70 (405) 60–79 58 (308) 43–71 <0.0001 63 (606) 49–73 76 (127) 67–85 <0.0001
BMI 26 (379) 23–29 25 (302) 23–28 0.0135 26 (573) 23–28 25 (117) 22–29 0.6456
n % n % n % n %
Any comorbidity 335 77.55 202 59.76 <0.0001 434 65.86 118 89.39 <0.0001
Hypertension 289 66.90 158 46.75 <0.0001 348 52.81 107 81.06 <0.0001
Diabetes type 1 3 0.69 5 1.48 0.2865 8 1.21 0 0.00 0.2033
Diabetes type 2 112 25.93 71 21.01 0.1114 149 22.61 40 30.30 0.0585
Cardiovascular disease 165 38.19 92 27.22 0.0014 195 29.59 68 51.52 <0.0001
Chronic kidney disease 57 13.19 28 8.28 0.0309 54 8.19 32 24.24 <0.0001
Chronic liver disease 14 3.24 20 5.92 0.0728 30 4.55 7 5.30 0.7093
Chronic pulmonary disease 47 10.88 35 10.36 0.8148 68 10.32 15 11.36 0.7207
Anaemia 22 5.09 20 5.92 0.6171 34 5.16 13 9.85 0.0375
Cancer 46 10.65 29 8.58 0.3368 53 8.04 24 18.18 0.0003
Immunosuppressed state 20 4.63 19 5.62 0.5334 33 5.01 8 6.06 0.6184
Other non‐neurological comorbidity 145 33.56 63 18.64 <0.0001 153 23.22 60 45.45 <0.0001
Dementia 49 11.34 27 7.99 0.1214 53 8.04 26 19.70 <0.0001
Parkinson's disease 14 3.24 7 2.07 0.3227 14 2.12 7 5.30 0.0381
Stroke: ICH, ischaemic stroke, TIA 98 22.69 44 13.02 0.0006 102 15.48 43 32.58 <0.0001
Multiple sclerosis 3 0.69 13 3.85 0.0023 18 2.73 1 0.76 0.1764
Motor neuron disease 0 0.00 2 0.59 0.1094 3 0.46 0 0.00 0.4374
Neuromuscular disorder 5 1.16 4 1.18 0.9734 9 1.37 1 0.76 0.5681
Neuropathy 15 3.47 13 3.85 0.7833 26 3.95 5 3.79 0.9322
Other neurological disease 38 8.80 37 10.95 0.3179 60 9.10 17 12.88 0.1818
COVID systemic complications 312 72.22 151 44.67 <0.0001 350 53.11 122 92.42 <0.0001
Dyspnoea 270 62.50 163 48.22 <0.0001 335 50.83 105 79.55 <0.0001
Pneumonia 306 70.83 172 50.89 <0.0001 374 56.75 112 84.85 <0.0001
Cardiovascular 76 17.59 39 11.54 0.0193 79 11.99 38 28.79 <0.0001
Renal insufficiency/dialysis 46 10.65 17 5.03 0.0048 42 6.37 22 16.67 <0.0001
Coagulation disorder/disseminated intravascular coagulation 28 6.48 13 3.85 0.106 33 5.01 9 6.82 0.3971
Refractory shock 36 8.33 1 0.30 <0.0001 1 0.15 36 27.27 <0.0001
Extra‐corporeal membrane oxygenation (ECMO) 4 0.93 0 0.00 0.0761 4 0.61 0 0.00 0.3695
Mechanical ventilation 99 22.92 12 3.55 <0.0001 66 10.02 48 36.36 <0.0001
Neurological findings 377 87.27 230 68.05 <0.0001 498 75.57 125 94.70 <0.0001
Headache 134 31.02 163 48.22 <0.0001 279 42.34 23 17.42 <0.0001
Hyposmia/hypogeusia 79 18.29 109 32.25 <0.0001 184 27.92 7 5.30 <0.0001
Dysautonomia 50 11.57 54 15.98 0.0761 93 14.11 13 9.85 0.1893
Vertigo 72 16.67 79 23.37 0.02 140 21.24 14 10.61 0.0048
Myalgia 90 20.83 103 30.47 0.0022 184 27.92 12 9.09 <0.0001
Sleep disorders 63 14.58 51 15.09 0.8446 105 15.93 14 10.61 0.1181
Cognitive impairment (including dysexecutive syndrome) 157 36.34 86 25.44 0.0012 183 27.77 67 50.76 <0.0001
Hyperactive delirium 76 17.59 32 9.47 0.0013 86 13.05 23 17.42 0.1833
Hypoactive delirium/acute encephalopathy 76 17.59 29 8.58 0.0003 74 11.23 32 24.24 <0.0001
Stupor/coma 102 23.61 16 4.73 <0.0001 41 6.22 78 59.09 <0.0001
Syncope 14 3.24 30 8.88 0.0008 41 6.22 4 3.03 0.1485
Seizures/status epilepticus 37 8.56 38 11.24 0.2136 62 9.41 14 10.61 0.6699
Meningitis/encephalitis 19 4.40 19 5.62 0.4368 33 5.01 5 3.79 0.5498
Stroke 176 40.74 62 18.34 <0.0001 180 27.31 63 47.73 <0.0001
Tremor 24 5.56 32 9.47 0.038 54 8.19 5 3.79 0.0786
Chorea 0 0.00 1 0.30 0.2579 1 0.15 0 0.00 0.6543
Dystonia 2 0.46 15 4.44 0.0002 17 2.58 1 0.76 0.2001
Myoclonus 8 1.85 7 2.07 0.8271 12 1.82 3 2.27 0.7283
Dyskinesia 2 0.46 7 2.07 0.0394 7 1.06 2 1.52 0.6543
Parkinsonism 9 2.08 12 3.55 0.2149 20 3.03 1 0.76 0.1374
Ataxia 34 7.87 43 12.72 0.026 72 10.93 6 4.55 0.0248
Spinal cord disorder 19 4.40 16 4.73 0.8244 34 5.16 2 1.52 0.0667
Peripheral neuropathy 49 11.34 26 7.69 0.09 73 11.08 7 5.30 0.0466
Other neurological findings 62 14.35 37 10.95 0.1613 88 13.35 16 12.12 0.7021
ICU admission 180 41.67 37 10.95 <0.0001 157 23.82 64 48.48 <0.0001
Pre‐morbid mRS
0 206 48.02 163 48.95 0.6792 331 52.29 38 29.46 <0.0001
1 78 18.18 53 15.92 118 18.64 13 10.08
2 50 11.66 32 9.61 64 10.11 18 13.95
3 48 11.19 41 12.31 66 10.43 23 17.83
4 35 8.16 29 8.71 39 6.16 25 19.38
5 12 2.80 15 4.50 15 2.37 12 9.30
Missing 3 5 26 3
Discharge mRS
0 0 0.00 170 50.30 <0.0001 170 25.80 0 0.00 <0.0001
1 58 13.43 62 18.34 128 19.42 0 0.00
2 57 13.19 38 11.24 101 15.33 0 0.00
3 88 20.37 35 10.36 123 18.66 0 0.00
4 61 14.12 22 6.51 87 13.20 0 0.00
5 36 8.33 11 3.25 50 7.59 0 0.00
6 132 30.56 0 0.00 0 0.00 132 100.00

Abbreviations: BMI, body mass index; ICH, intracerebral haemorrhage; ICU, intensive care unit; IQR, interquartile range; mRS, modified Rankin Score; TIA, transient ischaemic attack.

a

Worse outcome, mRS score at discharge higher than pre‐morbid mRS score; stable/improved outcome, mRS score at discharge equal to or lower than pre‐morbid mRS score.

In all, 132 patients died in hospital (Table 2, columns B). Compared to those discharged alive, patients who died were older (median age at COVID‐19 onset 76 years, IQR 67–85), with more comorbidities (hypertension, cardiovascular and renal diseases, cancer and, amongst neurological diseases, stroke, dementia and Parkinson's disease). Stupor/coma, stroke and cognitive disturbances were the commonest neurological manifestations/complaints in patients who died in hospital (59.1%, 47.7% and 49.2%, respectively) along with dysexecutive syndrome (23.5%) and hypoactive delirium (24.2%). Almost all deceased patients presented systemic COVID‐19 complications (predominantly pneumonia, 84.9% of cases), 48.5% were admitted in ICU and 36.4% required mechanical ventilation. Refractory shock occurred in 27.3% of in‐hospital deaths.

The variable most highly associated with worse outcome was refractory shock (OR 30.6; 95% CI 4.2–224.5) (Table 3, columns A). Increasing age also predicted worse outcome (OR 1.04 for each additional year; 95% CI 1.03–1.05). Amongst neurological manifestations, stupor/coma (OR 6.2; 95% CI 3.6–10.8) and stroke (OR 3.1; 95% CI 2.2–4.3) showed the highest risk for worse outcome. The need for mechanical ventilation (OR 8.1; 95% CI 4.35–15.0) and ICU admission (OR 5.8; 95% CI 3.9–8.6) indicated worse outcome. Older age, stupor/coma, stroke and ICU admission were confirmed as predictors of worse outcome at discharge in a multivariable model, whilst syncope and dystonia were predictors of stable/improved outcome. In univariable models, stupor/coma carried the highest death risk (OR 21.8; 95% CI 13.6–34.8), followed by cognitive impairment (3.05; 95% CI 2.1–4.5), hypoactive delirium (OR 2.5; 95% CI 1.6–4.0) and stroke (OR 2.4; 95% CI 1.7–3.56). Use of mechanical ventilation (OR 5.1; 95% CI 3.3–7.9), pneumonia (OR 4.3; 95% CI 2.6–7.0), ICU admission (OR 3.0; 95% CI 2.05–4.4), cardiovascular complications (OR 3.0; 95% CI 1.9–4.6) and renal insufficiency (OR 2.9; 95% CI 1.7–5.1) also predicted in‐hospital mortality. Amongst pre‐existing comorbidities, hypertension (OR 3.8; 95% CI 2.4–6.1), chronic kidney diseases (OR 3.6; 95% CI 2.2–5.8), cardiovascular diseases (OR 2.5; 95% 1.7–3.7) and cancer (OR 2.5; 95% CI 1.5–4.3) were the variables most highly associated with in‐hospital death. Amongst pre‐existing neurological comorbidities, stroke (OR 2.6; 95% CI 1.7–4.0) and Parkinson's disease (OR 2.6; 95% CI 1.02–6.5) carried the highest risk. Pre‐morbid mRS score was significantly associated with in‐hospital mortality, showing an increasing risk with increase of the disability score (Table 3, columns B). Older age, cancer, cardiovascular complications, refractory shock, stupor/coma and ICU admission were predictors of death in the multivariable model, whilst hyposmia/hypogeusia predicted a lower risk of death.

TABLE 3.

Predictors of outcome at discharge (N = 971)

A

Worse outcome vs. stable/improved outcome a

B

Dead vs. alive at discharge

Univariable model Multivariable model Univariable model Multivariable model
OR 95% CI p value Adj. OR 95% CI p value OR 95% CI p value Adj. OR 95% CI p value
Sex
Male 1 (ref.) 0.1432 1 (ref.) 0.9611
Female 0.86 0.64–1.14 1.05 0.73–1.54
Intersex/unknown 0.24 0.05–1.20 ne ne
Smoking
Yes 0.43 0.28–0.65 0.0001 0.39 0.18–0.83 0.0039
No 1 (ref.) 1 (ref.)
Unknown 1.29 0.81–2.06 1.67 0.99–2.81
Source of COVID‐19 contact
Occupation 0.53 0.35–0.80 0.0007 0.50 0.27–0.94 0.0471
Family member 0.33 0.16–0.67 0.11 0.02–0.81
Social 0.59 0.35–0.99 1.18 0.63–2.21
Travel 0.97 0.34–2.76 ne ne
Other/unknown 1 (ref.) 1 (ref.)
Age at admission (1‐year increase) 1.04 1.03–1.05 <0.0001 1.03 1.02–1.04 <0.0001 1.06 1.05–1.08 <0.0001 1.05 1.03–1.07 <0.0001
BMI (1‐unit increase) 1.01 0.99–1.03 0.2869 0.99 0.97–1.02 0.5206
Non‐neurological comorbidities
Hypertension 2.30 1.72–3.09 <0.0001 3.82 2.41–6.07 <0.0001
Diabetes type 1/type 2 1.25 0.90–1.74 0.1878 1.39 0.92–2.10 0.1171
Cardiovascular disease 1.65 1.21–2.25 0.0014 2.53 1.73–3.70 <0.0001
Chronic kidney disease 1.68 1.05–2.71 0.0324 3.59 2.21–5.83 <0.0001
Chronic liver disease 0.53 0.27–1.07 0.0770 1.17 0.50–2.73 0.7095
Chronic pulmonary disease 1.06 0.67–1.68 0.8154 1.11 0.61–2.02 0.7208
Anaemia 0.85 0.46–1.59 0.6174 2.01 1.03–3.92 0.0409
Cancer 1.27 0.78–2.07 0.3345 2.54 1.51–4.29 0.0005 2.57 1.23–5.34 0.0117
Immunosuppressed state 0.82 0.43–1.55 0.5341 1.22 0.55–2.71 0.6189
Neurological comorbidities
Dementia 1.47 0.90–2.41 0.1232 2.81 1.68–4.68 <0.0001
Parkinson's disease 1.58 0.63–3.97 0.3267 2.58 1.02–6.52 0.0451
Stroke: ICH, ischaemic stroke, TIA 1.96 1.33–2.89 0.0007 2.64 1.73–4.02 <0.0001
Multiple sclerosis 0.18 0.05–0.62 0.0068 0.27 0.04–2.05 0.2068
Motor neuron disease ne ne 0.9796 ne ne 0.9837
Neuromuscular disorder 0.97 0.26–3.67 0.9734 0.55 0.07–4.39 0.5737
Neuropathy 0.90 0.42–1.92 0.7822 0.96 0.36–2.54 0.9330
COVID systemic complications
Dyspnoea 1.79 1.34–2.39 <0.0001 3.76 2.40–5.90 <0.0001
Pneumonia 2.34 1.74–3.16 <0.0001 4.27 2.59–7.04 <0.0001
Cardiovascular 1.64 1.08–2.48 0.0201 2.97 1.90–4.63 <0.0001 2.08 1.07–4.06 0.0311
Renal insufficiency/dialysis 2.25 1.27–4.00 0.0058 2.94 1.69–5.11 0.0001
Coagulation disorder/disseminated intravascular coagulation 1.73 0.88–3.40 0.1099 1.39 0.65–2.98 0.3986
Refractory shock 30.63 4.18–224.56 0.0008 ne ne <0.0001 44.72 5.68–352.5 0.0003
Extra‐corporeal membrane oxygenation (ECMO) ne ne 0.9818 ne ne 0.9877
Mechanical ventilation 8.08 4.35–14.99 <0.0001 5.13 3.31–7.94 <0.0001
Neurological findings
Headache 0.48 0.36–0.65 <0.0001 0.29 0.18–0.46 <0.0001
Hyposmia/hypogeusia 0.47 0.34–0.66 <0.0001 0.15 0.07–0.32 <0.0001 0.12 0.04–0.40 0.0006
Dysautonomia 0.69 0.46–1.04 0.0772 0.67 0.36–1.23 0.1919
Vertigo 0.66 0.46–0.94 0.0205 0.44 0.25–0.79 0.0059
Myalgia 0.60 0.43–0.83 0.0023 0.26 0.14–0.48 <0.0001
Sleep disorders 0.96 0.64–1.43 0.8444 0.63 0.35–1.13 0.1209
Cognitive impairment (including dysexecutive syndrome) 1.67 1.22–2.29 0.0013 2.68 1.83–3.93 <0.0001
Hyperactive delirium 2.04 1.31–3.17 0.0015 1.40 0.85–2.33 0.1846
Hypoactive delirium/acute encephalopathy 2.28 1.44–3.58 0.0004 2.53 1.59–4.03 <0.0001
Stupor/coma 6.22 3.59–10.77 <0.0001 12.01 4.35–33.11 <0.0001 21.77 13.62–34.81 <0.0001 22.77 12.1–42.86 <0.0001
Syncope 0.34 0.18–0.66 0.0013 0.10 0.03–0.31 <0.0001 0.47 0.17–1.34 0.1576
Seizures/status epilepticus 0.74 0.46–1.19 0.2149 1.14 0.62–2.11 0.6701
Meningitis/encephalitis 0.77 0.40–1.48 0.4379 0.75 0.29–1.95 0.5514
Stroke 3.06 2.19–4.28 <0.0001 2.89 1.88–4.44 <0.0001 2.43 1.66–3.56 <0.0001
Tremor 0.56 0.33–0.98 0.0402 0.44 0.17–1.13 0.0865
Chorea ne ne 0.9780 ne ne 0.9858
Dystonia 0.10 0.02–0.44 0.0024 0.02 0.00–0.14 <0.0001 0.29 0.04–2.19 0.2288
Myoclonus 0.89 0.32–2.48 0.8263 1.25 0.35–4.51 0.7288
Dyskinesia 0.22 0.05–1.07 0.0600 1.43 0.30–6.98 0.6555
Parkinsonism 0.58 0.24–1.39 0.2202 0.24 0.03–1.83 0.1704
Ataxia 0.59 0.37–0.94 0.0273 0.39 0.17–0.91 0.0301
Spinal cord disorder 0.93 0.47–1.83 0.8238 0.28 0.07–1.19 0.0853
Peripheral neuropathy 1.54 0.93–2.53 0.0919 0.45 0.20–1.00 0.0499
ICU admission 5.81 3.93–8.59 <0.0001 5.62 3.54–8.95 <0.0001 3.01 2.05–4.43 <0.0001 2.17 1.18–4.00 0.0130
Pre‐morbid mRS
0 1 (ref.) 0.6842 1 (ref.) <0.0001
1 1.16 0.77–1.75 0.96 0.49–1.86
2 1.24 0.76–2.02 2.45 1.32–4.56
3 0.93 0.58–1.47 3.04 1.70–5.43
4 0.96 0.56–1.63 5.58 3.06–10.22
5 0.63 0.29–1.39 6.97 3.04–15.98

Abbreviations: Adj. OR, adjusted odds ratio; BMI, body mass index; CI, confidence interval; ICH, intracerebral haemorrhage; ICU, intensive care unit; mRS, modified Rankin Scale; OR, odds ratio; ne, not estimable; TIA, transient ischaemic attack.

a

Worse outcome, mRS score at discharge higher than pre‐morbid mRS score; stable/improved outcome, mRS score at discharge equal to or lower than pre‐morbid mRS score.

At the time of data collection, a total of 269 patients (224 hospitalized and 45 non‐hospitalized) had been followed for 6 months. Of them, 262 had laboratory‐confirmed COVID‐19 infection. This sample included 131 men and 130 women (unknown sex in 1) aged 19 through 91 years (IQR 47–71) (Table S2). 199 patients (76.0%) had neurological manifestations during the acute phase of the COVID‐19 infection, predominantly headache (40.8%), hyposmia/hypogeusia (34.7%), myalgia (29.1%), delirium (25.2%), cognitive impairment (23.3%), stroke sequelae (21.0%) and sleep disorders (17.1%). A mild‐to‐severe functional impairment (mRS 2+) was present in 48 patients (18.9%) before the onset of symptoms, in 133 patients (53.8%) at the end of the acute phase of the infection, and in 118 patients (46.1%) at the 6‐month follow‐up. Almost all the variables associated with worse outcome at discharge were negative prognostic predictors for outcome at 6 months (Table 4). Experiencing stroke or ataxia during the acute phase (OR 8.5, 95% CI 2.8–26.1; and, respectively, OR 6.9, 95% CI 1.2–40.7) and ICU admission (OR 3.6; 95% CI 1.5–8.7) were confirmed as predictors of worse outcome at 6 months, along with functional impairment at discharge. In contrast, history of stroke was associated with stable/improved outcome (OR 0.3; 95% CI 0.1–0.9).

TABLE 4.

Predictors of outcome at 6 months (N = 262)

Worse outcome vs. stable/improved outcome a
Univariable model Multivariable model
OR 95% CI p value Adj. OR 95% CI p value
Sex
Male 1 (ref.) 0.9979
Female 1.02 0.62–1.67
Intersex/unknown ne ne
Smoking
Yes 0.80 0.35–1.84 0.5947
No 1 (ref.)
Unknown 1.63 0.52–5.14
Source of COVID‐19 contact
Occupation 0.23 0.10–0.50 0.0008
Family member 0.36 0.17–0.78
Social 0.36 0.13–1.02
Travel 0.79 0.23–2.71
Other/unknown 1 (ref.)
Age at admission (1‐year increase) 1.03 1.02–1.05 0.0001
BMI (1‐unit increase) 0.99 0.99–1.00 0.6458
Non‐neurological comorbidities
Hypertension 1.96 1.19–3.23 0.0085
Diabetes type 1/type 2 1.26 0.66–2.40 0.4771
Cardiovascular disease 2.25 1.22–4.15 0.0095
Chronic kidney disease 7.88 1.75–35.45 0.0071
Chronic liver disease 0.76 0.17–3–45 0.7181
Chronic pulmonary disease 0.95 0.45–2.01 0.8851
Anaemia 2.08 0.51–8.52 0.3070
Cancer 0.47 0.19–1.15 0.0996
Immunosuppressed state 1.02 0.29–3.60 0.9796
Neurological comorbidities
Dementia 0.32 0.08–1.22 0.0955
Parkinson's disease 0.67 0.11–4–09 0.6664
Stroke: ICH, ischaemic stroke, TIA 2.08 1.01–4.31 0.0475 0.27 0.08–0.91 0.0302
Multiple sclerosis 0.25 0.03–2.25 0.2153
Motor neuron disease ne ne
Neuromuscular disorder 1.54 0.25–9.36 0.6410
Neuropathy 0.33 0.03–3.25 0.3443
COVID‐19 systemic complications
Dyspnoea 1.13 0.69–1.86 0.6225
Pneumonia 1.34 0.81–2.20 0.2501
Cardiovascular 3.84 1.37–10.76 0.0105
Renal insufficiency/dialysis 4.19 1.35–13.01 0.0131
Coagulation disorder/disseminated intravascular coagulation 2.83 0.73–10.91 0.1317
Refractory shock ne ne 0.9907
Extra‐corporeal membrane oxygenation (ECMO) 1.02 0.14–7.33 0.9872
Mechanical ventilation 2.77 1.30–5.88 0.0081
Neurological findings
Headache 0.71 0.43–1.18 0.1925
Hyposmia/hypogeusia 0.52 0.30–0.88 0.0152
Dysautonomia 1.22 0.53–2.84 0.6393
Vertigo 1.27 0.66–2.44 0.4711
Myalgia 0.95 0.55–1.63 0.8451
Sleep disorders 1.14 0.59–2.18 0.1209
Cognitive impairment (including dysexecutive syndrome) 2.09 1.17–3.74 0.0125
Hyperactive delirium 1.65 0.83–3.28 0.1542
Hypoactive delirium/acute encephalopathy 3.07 1.24–7.60 0.0151
Stupor/coma 5.43 1.17–25.32 0.0311
Syncope 0.67 0.11–4.09 0.6664
Seizures/status epilepticus 0.74 0.30–1.83 0.5196
Meningitis/encephalitis 1.37 0.30–6.23 0.6869
Stroke 6.35 3.02–13.36 <0.0001 8.51 2.77–26.13 0.0007
Tremor 1.82 0.52–6.39 0.3475
Chorea ne ne 0.8997
Dystonia ne ne 0.9906
Myoclonus 1.02 0.06–16.43 0.9910
Dyskinesia ne ne 0.9907
Parkinsonism ne ne 0.9790
Ataxia 6.03 1.31–27.78 0.0212 6.94 1.18–40.68 0.0180
Spinal cord disorder 1.72 0.40–7.36 0.4635
Peripheral neuropathy 1.84 0.81–4.20 0.1462
ICU admission 6.39 3.19–12.79 <0.0001 3.59 1.49–8.66 0.0017
Pre‐morbid mRS
0 1 (ref.) 0.8153
1 1.01 0.53–1.92
2 0.65 0.23–1–79
3 0.82 0.30–2.24
4 0.37 0.07–1.97
5 0.69 0.15–3.20
Discharge mRS
0 1 (ref.) <0.0001 1 (ref) <0.0001
1 11.60 3.96–33.97 6.71 2.03–22.15
2 19.33 6.34–58.98 12.96 3.60–46.66
3 39.44 12.44–125.0 21.46 5.92–77.73
4 28.35 8.55–93.98 19.38 4.87–77.14
5 50.26 10.64–237.4 23.64 4.32–129.3

Abbreviations: Adj. OR, adjusted odds ratio; BMI, body mass index; CI, confidence interval; ICH, intracerebral haemorrhage; ICU, intensive care unit; mRS, modified Rankin Scale; OR, odds ratio; TIA, transient ischaemic attack.

a

Worse outcome, mRS score at discharge higher than pre‐morbid mRS score; stable/improved outcome, mRS score at discharge equal to or lower than pre‐morbid mRS score.

At 6 months, 65/221 hospitalized patients (29.4%) and 10/41 non‐hospitalized patients (24.4%) experienced persisting neurological symptoms/signs, the commonest being hemiparesis/plegia (11 patients), cognitive impairment (10 cases), anosmia/ageusia (10 cases), para/tetraparesis (six cases) and fatigue (five cases) (Figure 2).

FIGURE 2.

FIGURE 2

List of neurological symptoms, signs and diseases persisting at 6 months [Colour figure can be viewed at wileyonlinelibrary.com]

Ten patients (3.8%) developed new neurological complications during follow‐up. Two were not hospitalized during the acute phase. The general characteristics of these patients are illustrated in Table S3. Incident neurological manifestations varied in type and severity. The majority of patients had one or more comorbidities and complications of COVID‐19 (mostly pneumonia). Three patients had severe functional impairment at 6 months. These patients developed vertical diplopia and, respectively, status epilepticus and recurrent stroke during follow‐up. New neurological complaints were more severe in patients with sequelae at hospital discharge.

DISCUSSION

This is the largest international cohort study including 6‐month follow‐up in adult patients with neuro‐COVID seen by neurologists. It was found that neurological complications are highly prevalent and have a dramatic impact on the outcome of hospitalized patients. Further strengthening the relevance of neurological involvement, a 76% persistence of neurological involvement was found with mild‐to‐severe functional impact in 68%.

At admission, one or more comorbidities were present in 63.7% of cases and functional disability was documented in 34.1%; 51.6% of patients experienced systemic complications of SARS‐CoV‐2 infection, 83.4% were hospitalized, 23.4% were admitted to the ICU, 56.1% had worsening of their functional abilities at discharge, and 16.7% died whilst in hospital. Stupor or coma, ICU admission and stroke carried a worse outcome at discharge whereas history of cancer, development of cardiovascular complications and refractory shock were associated with increased mortality. Older age and coma were negative prognostic predictors (increased functional disability and death) but did not predict worse outcome at 6 months amongst survivors at discharge. ICU admission was a negative prognostic factor both at discharge and at 6 months.

At 6 months, 28.6% of patients still presented persistent neurological sequelae of the acute phase, the commonest being focal or generalized motor weakness and cognitive impairment. The development of stroke or ataxia, ICU admission and functional impairment at discharge were predictive of worse 6‐month outcome. These findings support the dispute that only the severity of the acute COVID‐19 spectrum and some neurological complications, rather than older age, the presence of comorbidities and the baseline functional impairment, are significant long‐term prognostic predictors.

A number of neurological symptoms or signs (hyposmia/hypogeusia, syncope, dystonia, history of stroke) were associated with stable/improved outcome. However, for some of them (hyposmia/hypogeusia, syncope, dystonia) interview bias is a possible explanation (as more severe cases were perhaps unable to report those symptoms). The protective role of history of stroke cannot be easily interpreted. Although the mechanisms of previous strokes might have been different from COVID‐19's mechanism of action, a coincidental finding cannot be excluded.

Another study assessed incident neurological symptoms, signs and diagnoses in 4491 hospitalized patients seen in neurological consultation [17]. In that study, 88% of patients had new neurological manifestations. The most common were toxic/metabolic encephalopathy (51%), stroke (14%), seizures (12%) and hypoxic/ischaemic brain injury (11%). In line with our study, those patients were older, more severely ill and less likely to be discharged home.

Our findings differ from other reports. In a large retrospective cohort (N = 236,379) using data from an electronic health records network [9], the estimated incidence of neurological or psychiatric diagnoses at 6 months following the acute phase of COVID‐19 was 33.6% (first diagnosis, 12.8%). The commonest neurological diseases were, in decreasing order, stroke (2.7%), dementia (0.7%) and parkinsonism (0.1%). Our higher rates can be explained by the source of our cases (80% hospitalized) and by patients seen in neurological consultation. However, in line with us, the incidence of stroke and dementia were significantly higher in patients with more severe disease.

In a prospective study of 4182 incident cases of COVID‐19 who self‐reported their symptoms using a mobile application, 558 participants (13.3%) experienced symptoms lasting ≥28 days, 189 (4.5%) for ≥8 weeks and 95 (2.3%) for ≥12 weeks [8]. The commonest were fatigue, headache, dyspnoea and anosmia and they were more frequent with increasing age, body mass index and female sex. The presence of more than five symptoms during the first week of illness was associated with prolonged complaints during follow‐up. This is in line with our study and suggests that the higher severity of the disease is the consequence of a multisystem involvement by the virus, as shown by others [18]

Post‐hospital persistent symptoms (including memory loss [34%], concentration and sleep disorders [28% and 30%]) were reported during phone calls by 279 patients who had COVID‐19 [6]. Although some study limitations (single centre, inclusion of patients without neurological complaints, high attrition rate) can explain the differences with our findings, the frequent report of cognitive impairment and sleep disorders indicated similarities.

In a study including 1733 of 2469 discharged patients with a median follow‐up of 6 months, fatigue or muscle weakness (63%) and sleep difficulties (26%) were the commonest persistent symptoms [13]. Twenty‐four per cent of cases reported a median 6‐min walking distance less than the lower limit of the normal range. Compared to our study, these higher rates might be explained by high attrition (736 patients, perhaps the least severe cases, did not attend follow‐up appointments).

In a population‐based cohort study including non‐hospitalized subjects, 938 subjects were invited to participate in a postal survey and 48% responded. Although the interviewees reported reduction of symptoms 1.5–6 months after the acute phase, 16% manifested persisting dyspnoea, 12% dysosmia and 10% dysgeusia [7]. The differences between this study and ours are reflected, on one side, by our longer follow‐up and, on the other side, by the possible under‐ascertainment of non‐neurological manifestations in our study or under‐ascertainment of neurological complaints in that study.

Sequelae at 6 months were reported in a prospective cohort study by 32.8% of 177 adults recovering from COVID‐19 [11]. The commonest persistent symptoms included fatigue and loss of smell or taste. The lower prevalence of sequelae in our study might reflect the focus on neurological manifestations.

Our study has strengths and limitations. The major strength is the large sample, which includes data from different countries and settings. Another strength is the accurate search and diagnostic assessment of neurological manifestations. All patients were examined by a neurologist and, to optimize inter‐rater agreement, diagnoses were guided by standard definitions. Although each neurological manifestation was investigated based on the findings available at the time of the interview, the e‐CRF included precise questions and clinical assessment of the patient was to be completed according to a detailed checklist (Appendix S1). The major limitation of our study is the lack of a population base. It was attempted to define the reference population to estimate incidence and prevalence of the various neurological manifestations. However, the differing catchment areas served by the participating sites did not consent precise calculations. Another important limitation is the focus on neurological manifestations. Eligible patients were those seen in neurological consultation. Although efforts were made to collect information on all comorbidities with impact on patients' health and the major complications of COVID‐19, our investigation of the full spectrum of the disease has been incomplete. Then, diagnostic accuracy was not always high as a more detailed assessment of registered patients (results of neuropsychological and imaging tests, treatments) was not required to avoid a time consuming data collection, given the emergency context in which neurological consultation was performed. It was also chosen not to collect data on treatments as they were rarely supported by evidence‐based recommendations. Finally, the use of mRS at discharge to predict functional disability at home or in residential or rehabilitation settings could be debated.

In conclusion, in a multinational cohort of patients with neuro‐COVID undergoing structured neurological consultation, a severe disease was found in a high proportion of patients. The presence of severe infection with complications predicted worse outcome at discharge, persistence of functional disability, and a number of sequelae at 6 months follow‐up, some of those occurring after the remission or stabilization of the acute phase of the disease. Patients with neurological manifestations during the acute phase of COVID‐19 infection should be carefully monitored to prevent the occurrence of long‐term complications and premature mortality.

CONFLICT OF INTEREST

Dr Beghi reports grants from the Italian Ministry of Health, grants from SOBI, personal fees from Arvelle Therapeutics, grants from American ALS Association, outside the submitted work. Dr Moro reports personal fees from Medtronic, personal fees from Abbott, grants from Boston, outside the submitted work. Dr Cavallieri reports personal fees from Zambon, outside the submitted work. Dr Kiteva‐Trenchevska reports personal fees from Roche, personal fees from Pliva, personal fees from Medis, outside the submitted work. Dr Aamodt reports research grants outside the submitted work from Medtronic and Boehringer Ingelheim and personal fees outside the submitted work from Bayer, Boehringer Ingelheim, Roche, Allergan, Novartis and Teva. Dr von Oertzen reports personal fees from Liva Nova, grants from Merck, personal fees from Indivior Austria GmbH, personal fees and non‐financial support from gtec GmbH Austria, grants, personal fees and non‐financial support from Boehringer Ingelheim, personal fees from Philips, personal fees from UCB Pharma, personal fees from Almirall, grants and personal feees from Eisai, personal fees from Arvelle Therapeuticos, personal fees from GW Pharma, personal fees from Zogenix GmbH, personal fees from Angelini Pharma Österreiche, personal fees from Novartis Pharma GmbH, outside the submitted work; and he is co‐chair of the Communication Committee, scientific panel for epilepsy, and COVID taskforce, all of the European Academy of Neurology, president of the Österreichische Gesellschaft für Epileptologie (Austrian ILAE chapter) and president of the upper Austrian MS society. The other authors have nothing to disclose.

AUTHOR CONTRIBUTIONS

Ettore Beghi: Conceptualization (lead); supervision (lead); writing—original draft (lead); writing—review and editing (lead). Raimund Helbok: Conceptualization (equal); supervision (equal); writing—original draft (equal). Serefnur Ozturk: Conceptualization (equal); writing—original draft (equal); writing—review and editing (equal). Oxana Grosu: Conceptualization (equal); writing—original draft (equal). Omer Karadas: Conceptualization (equal); writing—original draft (equal). Vitalie Lisnic: Conceptualization (equal); supervision (equal); writing—original draft (equal). Tibor Kovács: Conceptualization (equal); writing—original draft (equal). Levente Dobronyi: Conceptualization (equal); investigation (equal); writing—original draft (equal). Dániel Bereczki: Conceptualization (equal); investigation (equal); writing—original draft (equal). Maria Sofia Cotelli: Conceptualization (equal); supervision (equal); writing—original draft (equal). Eugenia Irene Davidescu: Conceptualization (equal); writing—original draft (equal). Bogdan Ovidiu Popescu: Conceptualization (equal); investigation (equal); writing—original draft (equal). Franco Valzania: Conceptualization (equal); writing—original draft (equal). Hanno Ulmer: Conceptualization (equal); data curation (equal); writing—original draft (equal). Francesco Cavallieri: Conceptualization (equal); supervision (equal); writing—original draft (equal). Luis Maia: Conceptualization (equal); data curation (equal); writing—original draft (equal). Anne Hege Aamodt: Conceptualization (equal); data curation (equal); writing—original draft (equal). Carmel Armon: Conceptualization (equal); data curation (equal); writing—original draft (equal). Anis Riahi: Conceptualization (equal); data curation (equal); writing—original draft (equal). Viktoria Gryb: Conceptualization (equal); data curation (equal); writing—original draft (equal). Waldemar Brola: Conceptualization (equal); data curation (equal); writing—original draft (equal). Ingomar Krehan: Conceptualization (equal); data curation (equal); writing—original draft (equal). Tim J von Oertzen: Conceptualization (equal); data curation (equal); supervision (equal). Mohammed Azab: Conceptualization (equal); data curation (equal); supervision (equal). Michael Crean: Conceptualization (equal); data curation (equal); supervision (equal); writing—original draft (equal). Maria Lolich: Conceptualization (equal); data curation (equal); supervision (equal); writing—original draft (equal). Maria João Lima: Conceptualization (equal); data curation (equal); supervision (equal). Johann Sellner: Conceptualization (equal); data curation (equal); supervision (equal); writing—original draft (equal); writing—review and editing (equal). Julian Perneczky: Conceptualization (equal); data curation (equal); supervision (equal); writing—original draft (equal). Thomas M Jenkins: Conceptualization (equal); data curation (equal); supervision (equal); writing—original draft (equal). Sara Meoni: Conceptualization (equal); data curation (equal); supervision (equal); writing—original draft (equal). Elisa Bianchi: Conceptualization (equal); data curation (equal); formal analysis (equal); software (equal); writing—original draft (equal); writing—review and editing (equal). Elena Moro: Conceptualization (equal); data curation (equal); supervision (equal); writing—original draft (equal); writing—review and editing (equal). Claudio L Bassetti: Conceptualization (equal); data curation (equal); funding acquisition (lead); supervision (equal); writing—original draft (equal).

Supporting information

 

 

 

ACKNOWLEDGEMENTS

The authors are indebted to Sherry H‐Y Chou MD and Molly McNett PhD for their valuable intellectual support to the organization of the ENERGY registry, to Lalit Kaltenbach for the preparation of the web database, to Ms Anja Sander for her assistance during the activation and conduct of the ENERGY registry, and all participating patients.

APPENDIX 1.

ENERGY Study Group: Onur Ural and Iskender Kara, Konya, Turkey; Bilgin Ozturk, Ankara, Turkey; Mihail Gavriliuc and Olesea Odainic, Chisinau, Moldova; Patrizia Civelli and Marta Bianchi, Esine‐Brescia, Italy; Teodora Bunea and Georgiana Sandu, Bucharest, Romania; Giulia Toschi, Reggio Emilia, Italy; Vanessa Oliveira and Alexandre Dias, Porto, Portugal; Simon Jung and Robert Hoepner, Bern, Switzerland; Marion Boldingh, Oslo, Norway; Netta Agajany and Sharon Wolfson, Zerifin, Israel; Lipowski Michał, Konskie, Poland; Lesiv Marjiana, Ivano‐Frankivsk, Ukraine; Hajer Derbali, Tunis, Tunisia; Mafalda Seabra, São João, Brazil; Vanessa Carvalho, Matosinhos, Portugal; Heidi Øyen Flemmen, MD, Skien, Norway; Clarissa Lin Yasuda, Campinas, SP, Brazil; Pille Taba, Tartu, Estonia; Osama Yassin, Alexandria, Egypt; Gordana Kiteva‐Trenchevska, Skopje, Macedonia.

Beghi E, Helbok R, Ozturk S, et al; the ENERGY Study Group . Short‐ and long‐term outcome and predictors in an international cohort of patients with neuro‐COVID‐19. Eur J Neurol. 2022;29:1663–1684. doi: 10.1111/ene.15293

Funding information

The study was supported by the European Academy of Neurology

[Correction added on 12 March 2022 after first online publication: Serefnur Ozturk's name and third affiliation was corrected.]

Contributor Information

Ettore Beghi, Email: ettore.beghi@marionegri.it.

the ENERGY Study Group:

Onur Ural, Iskender Kara, Bilgin Ozturk, Mihail Gavriliuc, Olesea Odainic, Patrizia Civelli, Marta Bianchi, Teodora Bunea, Georgiana Sandu, Giulia Toschi, Vanessa Oliveira, Alexandre Dias, Simon Jung, Robert Hoepner, Marion Boldingh, Netta Agajany, Sharon Wolfson, Lipowski Michał, Lesiv Marjiana, Hajer Derbali, Mafalda Seabra, Vanessa Carvalho, Heidi Øyen Flemmen, Clarissa Lin Yasuda, Pille Taba, Osama Yassin, and Gordana Kiteva‐Trenchevska

DATA AVAILABILITY STATEMENT

Data can only be shared with permission of individual countries.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

 

 

 

Data Availability Statement

Data can only be shared with permission of individual countries.


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