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. 2021 Nov 17;43(2):775–783. doi: 10.1007/s10072-021-05756-4

Parkinson’s disease and COVID-19: a systematic review and meta-analysis

Reza Jalili Khoshnood 1, Alireza Zali 1, Arash Tafreshinejad 1, Mahsa Ghajarzadeh 2,3, Narges Ebrahimi 4, Saeid Safari 1,, Omid Mirmosayyeb 5,6
PMCID: PMC8596358  PMID: 34787753

Abstract

Background

Patients with Parkinson’s disease (PD) are at higher risk of COVID-19 infection as most of them are at older age. The goal of this study is to update the pooled prevalence of COVID-19 infection in patients with PD.

Methods

Two researchers systematically searched PubMed, Scopus, EMBASE, Web of Science, Google Scholar, and also gray literature including references of the included studies which were published before September 2021. We extracted data regarding the total number of participants, first author, publication year, the country of origin, mean age, number with COVID-19, symptoms, hospitalization, and death.

Results

We found 1693 articles by literature search; after deleting duplicates, 798 remained. Thirty articles remained for meta-analysis. The pooled prevalence of COVID-19 infection in PD cases was 5% (95%CI: 4–6%) (I2 = 98.1%, P < 0.001). The pooled prevalence of fever in cases with PD was 4% (95%CI: 2–6%) (I2 = 96%, P < 0.001). The pooled prevalence of cough in cases with PD was 3% (95%CI: 2–4%) (I2 = 95.9%, P < 0.001). The pooled prevalence of hospitalization in cases with COVID-19 infection was 49% (95%CI: 29–52%) (I2: 93.5%, P < 0.001). The pooled prevalence of mortality in COVID-19 cases was 12% (95%CI: 10–14%) (I2 = 97.6%, P < 0.001).

Conclusion

The results of this systematic review and meta-analysis show that the pooled prevalence of COVID-19 infection in PD cases is 5% besides hospitalization and mortality rates which are 49% and 12%.

Keywords: COVID-19, Parkinson’s disease, Prevalence

Introduction

The new coronavirus was first introduced in December 2019, and now, it is in pandemic stage [1]. The most frequent manifestations are fever, cough, and malaise while underlying diseases, advanced age, and medications play an important role in prognosis [2]. Following Alzheimer’s disease, Parkinson’s disease (PD) is the second common neurodegenerative disease which could have a negative effect on COVID-19 prognosis in affected cases [3]. The prevalence of PD is between 113 and 873 cases per 100,000 people and is higher in Europe and lowest in Asia [4]. As the patients with PD are elderlies and they have underlying diseases, they are at higher risk of developing COVID-19 and quarantine will affect the presence of the symptoms [5].

Up to now, systematic reviews and meta-analysis have been done and reported various pooled prevalence of COVID-19 infection in patients with PD. The goal of this study is to update the pooled prevalence of COVID-19 infection in patients with PD.

Methods

Two researchers systematically searched PubMed, Scopus, EMBASE, Web of Science, Google Scholar, and also gray literature including references of the included studies which were published before September 2021.

The search strategy was as follows:

(“Idiopathic Parkinson Disease” OR “Lewy Body Parkinson Disease” OR (“Parkinson Disease” AND Idiopathic) OR (“Parkinson Disease” AND “Lewy Body”) OR (“Parkinson Disease” AND Idiopathic) OR “Parkinson Disease” OR “Idiopathic Parkinson Disease” OR “Lewy Body Parkinson Disease” OR “Primary Parkinsonism” OR (Parkinsonism AND Primary) OR “Paralysis Agitans” OR Parkinson) AND (“COVID 19” OR “COVID-19 Virus Disease” OR “COVID 19 Virus Disease*” OR “COVID-19 Virus Disease*” OR (Disease AND “COVID-19 Virus”) OR (“Virus Disease” AND COVID-19) OR “COVID-19 Virus Infection*” OR “COVID 19 Virus Infection” OR (Infection AND “COVID-19 Virus”) OR (“Virus Infection” AND COVID-19) OR “2019-nCoV Infection” OR “2019 nCoV Infection*” OR (Infection AND 2019-nCoV) OR “Coronavirus Disease-19” OR “Coronavirus Disease 19” OR “2019 Novel Coronavirus Disease” OR “2019 Novel Coronavirus Infection” OR “2019-nCoV Disease” OR “2019 nCoV Disease” OR “2019-nCoV Diseases” OR (Disease AND 2019-nCoV) OR “COVID19” OR “Coronavirus Disease 2019” OR (“Disease 2019” AND Coronavirus) OR “SARS Coronavirus 2 Infection” OR “SARS-CoV-2 Infection” OR (Infection AND SARS-CoV-2) OR “SARS CoV 2 Infection*” OR “COVID-19 Pandemic*” OR “COVID 19 Pandemic” OR (Pandemic AND COVID-19)).

Inclusion criteria were as follows:

We included cross-sectional studies which had reported the number of patients with Parkinson’s disease who had COVID-19 infection.

Exclusion criteria were as follows:

Letters to the editor, case–control, case reports, and cross-sectional studies which had no clear data.

We extracted data regarding the total number of participants, first author, publication year, the country of origin, mean age, number with COVID-19, symptoms, hospitalization, and death.

Risk of bias assessment

Using Newcastle–Ottawa Quality Assessment scale (adapted for cross-sectional studies), we evaluated the risk of bias [6].

Statistical analysis

All statistical analyses were performed using STATA (Version 14.0; Stata Corp LP, College Station, TX, USA). We used random effects.

To determine heterogeneity, Inconsistency (I2) was calculated.

Results

We found 1693 articles by literature search, after deleting duplicates 798 remained. Thirty articles remained for meta-analysis (Fig. 1).

Fig. 1.

Fig. 1

Flow diagram summarizing the selection of eligible studies

Thirty articles were included. The number of included patients differed between 10 and 64,434, and mean disease duration varied between 6 and 13 years. Most studies were conducted in the United States of America (USA). Minimum and maximum quality assessment scores were 4–9.

The basic characteristics of the included studies are shown in Table 1.

Table 1.

Basic characteristics of included studies

Author Year Country Type. Study Total. PD Number. Covid1 Number confirm Number PCR2 Ag Case3 Age.SD_Case Female Case Male Case Disease. Duration case Disease. Duration. SD Case Fever Cough Dyspnea Hospitalized Death NOS Quality assessment
Heng Zhai [7] 2021 China Retrospective cohort 10 10 10 72.1 11.46 7 3 8.6 5.9 8 10 3 10 3 5/9
Lynda Nwabuobi [8] 2021 USA Retrospective cohort 25 25

25

25

Median: 82 IQR: 73–88 6 19 NR NR 12 11 NR 17 8 5/9
Raphael Scherbaum [9] 2021 Germany Cross-sectional 64,434 693

693

693

NR NR NR NR NR NR NR NR NR NR 245 8/10
Mehri Salari [10] 2021 Iran Cross-sectional 647 73

73

73

60.57 12.46 NR NR NR NR 30 26 16 10 NR 6/10
Ana C. Tahira [11] 2021 Brazil Cross-sectional 182 35

35

35

NR NR NR NR NR NR NR NR NR 25 14 5/10
Maria Buccafusca [12] 2021 Italy Cohort 12 12

12

12

73.33 10.73 6 6 13.5 6.34 4 2 1 9 0 5/9
Raminder Parihar [13] 2021 USA Cross-sectional 70 53

53

53

Mean: 78.7 IQR: 12 22 31 NR NR NR NR NR NR 19 5/10
Valentina Leta [14] 2021 UK Cross-sectional 27 27 27 59 12.7 11 16 9.2 7.8 NR NR NR 6 NR 5/10
Mehri Salari [15] 2021 Iran Cross-sectional 87 87 NR 75.8 7.3 NR NR NR NR NR NR NR 31 31 5/10
Ousseny Zerbo [16] 2021 USA Cross -sectional 9100 325

325

325

NR NR NR NR NR NR NR NR NR 172 39 7/10
Hossein Estiri [17] 2021 USA Cross-sectional 165 165

165

165

NR NR NR NR NR NR NR NR NR NR 32 6/10
Megan P. Feeney [18] 2021 USA Cross-sectional 1342 17 NR NR NR NR NR NR NR NR NR NR NR NR 6/10
Christian Ineichen [19] 2021 Switzerland Retrospective cohort 264 4 NR NR NR NR NR NR NR NR NR NR NR NR 5/9
Ladan Akbarian-Tefaghi [20] 2020 UK

Cross-sectional

(abstract)

28 12

12

12

NR NR NR NR NR NR NR NR NR NR NR NA
Joy Antonelle de Mar [21] 2020 United States Retrospective cohort 21 21

21

21

75.19 5.41 8 13 9.95 6.45 10 9 14 16 6 5/9
Jeanine J.S [22] 2020 Netherlands Prospective cohort 280 99

99

99

NR NR NR NR NR NR NR NR NR NR NR 6/9
Alfonso Fasano [23] 2020 Italy Case–control 1486 105 NR 70.5 10.1 50 55 9.9 6.4 74 62 NR 18 6 7/9
Carlo Alberto Artusi [24] 2020 Italy Cross-sectional 1407 8

8

8

74 7.52 3 5 12.14 7.62 6 2 3 8 6 6/10
Sainz-Amo [25] 2020 Spain Case–control 211 39 NR 75.9 9 16 23 8.9 6.2 NR NR NR 21 8 6/9
Roberto Cilia [26] 2020 Italy Case–control 12 12 NR 65.5 8.9 7 5 6.3 3.6 10 9 4 1 0 5/9
Santos García 2020 Spain Cross-sectional 568 15 NR 65.6 9.4 8 7 6.8 4.9 NR NR NR 5 0 6/10
Mehri Salari 2020 Iran Cross-sectional 137 2

2

2

NR NR NR NR NR NR NR NR NR NR NR 5/10
Angelo Antonini 2020 Italy, UK Case series 10 10 NR 78.3 0.0847 4 6 12.7 8.09 6 8 2 10 4 NA
Eleonora Del Prete 2020 Italy Case-controlled 740 7

7

7

75.71 8.9 3 4 9.29 3.59 NR NR NR 4 1 7/9
Luca Vignatelli 2020 Italy Cohort 696 4 NR 76.5 NR 1 3 NR NR NR NR NR 4 1 6/9
Alfonso Fasano 2020 Italy, Iran Cohort 2238 117 NR 71.4 10.8 43 74 9.4 5.8 NR NR NR 37 23 7/9
Ethan G. Brown 2020 United States Cross-sectional 5429 51

22

17

65 NR 27 24 NR NR 32 36 NR 5 0 6/10
Qiang Zhang 2020 United States Cross-sectional 694 694 NR Median: 79 NR 276 418 NR NR NR NR NR NR 148 6/10

1Number of PD patients who has effected by COVID-19

2Number of PD patients who has confirmed as COVID-19 case, by Polymerase chain reaction (PCR)

3Case means all PD patients who has effected by COVID-19

The pooled prevalence of COVID-19 infection in PD cases was 5% (95%CI: 4–6%) (I2=98.1%, P<0.001) (Figure 2).

Fig. 2.

Fig. 2

The pooled prevalence of COVID-19 infection in PD cases

The pooled prevalence of fever in cases with PD was 4% (95%CI: 2–6%) (I2 = 96%, P < 0.001) (Fig. 3).

Fig. 3.

Fig. 3

The pooled prevalence of fever in cases with PD

The pooled prevalence of cough in cases with PD was 3% (95%CI: 2–4%) (I2 = 95.9%, P < 0.001) (Fig. 4).

Fig. 4.

Fig. 4

The pooled prevalence of cough in cases with PD

The pooled prevalence of hospitalization in cases with COVID-19 infection was 49% (95%CI: 29–52%) (I2: 93.5%, P < 0.001) (Fig. 5).

Fig. 5.

Fig. 5

The pooled prevalence of hospitalization in cases with COVID-19

The pooled prevalence of mortality in COVID-19 cases was 12% (95%CI: 10–14%) (I2 = 97.6%, P < 0.001) (Fig. 6).

Fig. 6.

Fig. 6

The pooled prevalence of death in COVID-19 cases

Discussion

The results of this systematic review and meta-analysis showed that the pooled prevalence of COVID-19 infection in patients with Parkinson’s disease is 5% which is higher than the pooled prevalence reported in previous systematic reviews. In two previous systematic reviews, the pooled prevalence of COVID-19 in PD reported was 2% [5, 27]. The difference could be due to the higher number of included studies. The prevalence of COVID-19 infection in PD cases ranged between 1 and 43% in different studies. We also found that the pooled hospitalization rate was 49% while the pooled mortality rate was 12%.

A recent systematic review and meta-analysis showed that the pooled prevalence of COVID-19 infection in patients with MS was 4% and pooled hospitalization rate was 10% [28]. The pooled hospitalization rate in this study for PD cases was 49% which is more higher than it was estimated for patients with MS. It could be due to higher age, advanced disease, and more comorbidities among patients with PD.

Zhang et al. found that patients with Alzheimer’s disease (AD) had significantly higher odds of dying from COVID-19 compared with the no AD group [29].

El‐Qushayri et al. published a systematic review and meta-analysis and reported the pooled hospitalization rate as 39.8% and the mortality rate as 25.1% [27].

Alberto Artusi et al. evaluated 1407 PD cases and reported COVID-19 infection in 8. They also found that six out of eight cases died due to COVID-19 infection while the fatality rate was 11.5%. The most common symptoms were fever and weakness [30].

Del Prete et al. enrolled 740 PD cases and reported COVID-19 infection in 7 (0.9%) and mortality rate as 0.13%. They reported hypertension and diabetes as predisposing factors of infection [31].

There are controversies regarding predisposing factors of COVID-19 infection in PD cases including higher susceptibility according to age and disease duration [23, 26, 32].

Patients with PD suffer from a wide range of comorbidities and they have twofold higher risk of hospitalization due to comorbidities [33]. On the other hand, PD may predispose cases to the risk of severe COVID-19 and higher rate of mortality based on disease complications such as delirium, drug adverse effects, syncope, aspiration pneumonia, falls, and fractures [34].

It should be considered that lock downs and social isolation during pandemic stage will result in reduction of outside activity which affects health being in PD cases. Being at home and having no activity affect motor function of patients with PD and also their psychological status. Literature shows that during COVID-19 pandemic stage, patients with PD suffer MORE from anxiety, and sleep disturbances [3537].

On the other hand, case fatality rate is higher in PD cases after adjusting for different factors such as age, sex, and race and the mortality rate is reported as 30% which is more than general population [38].

SARS-CoV-2 enters the host through cellular receptor angiotensin-converting enzyme 2 (ACE2) which highly is expressed in human airway epithelia and also dopaminergic neurons [39]. On the other hand, brain angiotensin system has role in neurodegeneration in PD cases [36]. Literature also shows that antibodies against different forms of coronaviruses were detected in cerebrospinal fluid of PD patients [40]. All of these findings could show that PD patients are at higher risk of catching SARS-Co V-2 infection.

This study had some strength. First, the number of included studies is high. Second, we calculated the pooled prevalence of COVID-19 infection, hospitalization rate, and mortality in PD cases.

Conclusion

The results of this systematic review and meta-analysis show that the pooled prevalence of COVID-19 infection in PD cases is 5% besides hospitalization and mortality rates are 49% and 12%.

Declarations

Ethical approval

None.

Informed consent

Not applicable.

Conflict of interest

The authors declare no competing interests.

Footnotes

The original online version of this article was revised: Originally, affiliation 1 has been incorrectly presented online. Affiliation 1 should be change to “Functional Neurosurgery Research Center, Shohada Tajrish Neurosurgical Comprehensive Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Change history

11/24/2021

A Correction to this paper has been published: 10.1007/s10072-021-05781-3

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