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. 2021 Jul;16(5):573–584. doi: 10.1177/1747493021991652

Global impact of COVID-19 on stroke care

Raul G Nogueira 1,*, Mohamad Abdalkader 2, Muhammed M Qureshi 3, Michael R Frankel 4, Ossama Yassin Mansour 5,**, Hiroshi Yamagami 6,#, Zhongming Qiu 7, Mehdi Farhoudi 8, James E Siegler 9, Shadi Yaghi 10, Eytan Raz 11, Nobuyuki Sakai 12,#, Nobuyuki Ohara 13,#, Michel Piotin 14, Laura Mechtouff 15, Omer Eker 16, Vanessa Chalumeau 17, Timothy J Kleinig 18, Raoul Pop 19, Jianmin Liu 20, Hugh S Winters 21, Xianjin Shang 22, Alejandro Rodriguez Vasquez 23, Jordi Blasco 24, Juan F Arenillas 25, Mario Martinez-Galdamez 26, Alex Brehm 27, Marios-Nikos Psychogios 27, Pedro Lylyk 28, Diogo C Haussen 29, Alhamza R Al-Bayati 29, Mahmoud H Mohammaden 29, Luísa Fonseca 30, M Luís Silva 31, Francisco Montalverne 32, Leonardo Renieri 33, Salvatore Mangiafico 33, Urs Fischer 34, Jan Gralla 35, ,Donald Frei 36, Chandril Chugh 37, Brijesh P Mehta 38, Simon Nagel 39, Markus Mohlenbruch 40, Santiago Ortega-Gutierrez 41, Mudassir Farooqui 41, Ameer E Hassan 42, Allan Taylor 43, Bertrand Lapergue 44, Arturo Consoli 45, Bruce CV Campbell 46, Malveeka Sharma 47, Melanie Walker 48, Noel Van Horn 49, Jens Fiehler 49, Huy Thang Nguyen 50, Quoc T Nguyen 50, Daisuke Watanabe 51, Hao Zhang 52, Huynh V Le 53, Viet Q Nguyen 53, Ruchir Shah 54, Thomas Devlin 54, Priyank Khandelwal 55, Italo Linfante 56, Wazim Izzath 57, Pablo M Lavados 58, Veronica V Olavarría 58, Gisele Sampaio Silva 59, Anna Verena de Carvalho Sousa 60, Jawad Kirmani 61, Martin Bendszus 62, Tatsuo Amano 63, Ryoo Yamamoto 64, Ryosuke Doijiri 65, Naoki Tokuda 66, Takehiro Yamada 67, Tadashi Terasaki 68, Yukako Yazawa 69, Jane G Morris 70, Emma Griffin 71, John Thornton 71, Pascale Lavoie 72, Charles Matouk 73, Michael D Hill 74, Andrew M Demchuk 74, Monika Killer-Oberpfalzer 75, Fadi Nahab 76, Dorothea Altschul 77, Anna Ramos-Pachón 78, Natalia Pérez de la Ossa 78, Raghid Kikano 79, William Boisseau 80, Gregory Walker 81, Steve M Cordina 82, Ajit Puri 83, Anna Luisa Kuhn 83, Dheeraj Gandhi 84, Pankajavalli Ramakrishnan 85, Roberta Novakovic-White 86, Alex Chebl 87, Odysseas Kargiotis 88, Alexandra Czap 89, Alicia Zha 89, Hesham E Masoud 90, Carlos Lopez 90, David Ozretic 91, Fawaz Al-Mufti 92, Wenjie Zie 93, Zhenhui Duan 94, Zhengzhou Yuan 95, Wenguo Huang 96, Yonggang Hao 97, Jun Luo 98, Vladimir Kalousek 99, Romain Bourcier 100, Romain Guile 100, Steven Hetts 101, Hosam M Al-Jehani 102, Adel AlHazzani 103, Elyar Sadeghi-Hokmabadi 104, Mohamed Teleb 105, Jeremy Payne 105, Jin Soo Lee 106, Ji Man Hong 106, Sung-Il Sohn 107, Yang-ha Hwang 108, Dong Hoon Shin 109, Hong Gee Roh 110, Randy Edgell 111, Rakesh Khatri 112, Ainsley Smith 113, Amer Malik 114, David Liebeskind 115, Nabeel Herial 116, Pascal Jabbour 116, Pedro Magalhaes 117, Atilla Ozcan Ozdemir 118, Ozlem Aykac 118, Takeshi Uwatoko 119, Tomohisa Dembo 120, Hisao Shimizu 121, Yuri Sugiura 122, Fumio Miyashita 123, Hiroki Fukuda 124, Kosuke Miyake 125, Junsuke Shimbo 126, Yusuke Sugimura 127, Andre Beer-Furlan 128, Krishna Joshi 128, Luciana Catanese 129, Daniel Giansante Abud 130, Octavio Giansante Neto 131, Masoud Mehrpour 132, Amal Al Hashmi 133, Mahar Saqqur 134, Abdulrahman Mostafa 135, Johanna T Fifi 136, Syed Hussain 137, Seby John 137, Rishi Gupta 138, Rotem Sivan-Hoffmann 139, Anna Reznik 139, Achmad Fidaus Sani 140, Serdar Geyik 141, Eşref Akıl 141, Anchalee Churojana 142, Abdoreza Ghoreishi 143, Mohammad Saadatnia 144, Ehsan Sharifipour 145, Alice Ma 146, Ken Faulder 146, Teddy Wu 147, Lester Leung 148, Adel Malek 149, Barbara Voetsch 150, Ajay Wakhloo 151, Rodrigo Rivera 152, Danny Moises Barrientos Iman 153, Aleksandra Pikula 154, Vasileios-Arsenios Lioutas 155, Gotz Thomalla 156, Lee Birnbaum 157, Paolo Machi 158, Gianmarco Bernava 158, Mollie McDermott 159, Dawn Kleindorfer 159, Ken Wong 160, Mary S Patterson 161, Jose Antonio Fiorot Jr 162, Vikram Huded 163, William Mack 164, Matthew Tenser 164, Clifford Eskey 165, Sumeet Multani 166, Michael Kelly 167, Vallabh Janardhan 168, Oriana Cornett 169, Varsha Singh 169, Yuichi Murayama 170, Maxim Mokin 171, Pengfei Yang 172, Xiaoxi Zhang 172, Congguo Yin 173, Hongxing Han 174, Ya Peng 175, Wenhuo Chen 176, Roberto Crosa 177, Michel Eli Frudit 178, Jeyaraj D Pandian 179, Anirudh Kulkarni 179, Yoshiki Yagita 180, Yohei Takenobu 181, Yuji Matsumaru 182, Satoshi Yamada 183, Ryuhei Kono 184, Takuya Kanamaru 185, Hidekazu Yamazaki 86, Manabu Sakaguchi 187, Kenichi Todo 188, Nobuaki Yamamoto 189, Kazutaka Sonoda 190, Tomoko Yoshida 191, Hiroyuki Hashimoto 192, Ichiro Nakahara 193, Elena Cora 194, David Volders 194, Celina Ducroux 195, Ashkan Shoamanesh 196, Johanna Ospel 197, Artem Kaliaev 198, Saima Ahmed 199, Umair Rashid 199, Leticia C Rebello 200, Vitor Mendes Pereira 201, Robert Fahed 202, Michael Chen 203, Sunil A Sheth 204, Lina Palaiodimou 205, Georgios Tsivgoulis 205, Ronil Chandra 206, Feliks Koyfman 207, Thomas Leung 208, Houman Khosravani 209, Sushrut Dharmadhikari 210, Giovanni Frisullo 211, Paolo Calabresi 211, Alexander Tsiskaridze 212, Nino Lobjanidze 212, Mikayel Grigoryan 213, Anna Czlonkowska 214, Diana Aguiar de Sousa 215, Jelle Demeestere 216, Conrad Liang 217, Navdeep Sangha 218, Helmi L Lutsep 219, Óscar Ayo-Martín 220, Antonio Cruz-Culebras 221, Anh D Tran 222, Chang Y Young 223, Charlotte Cordonnier 224, Francois Caparros 224, Maria Alonso De Lecinana 225, Blanca Fuentes 225, Dileep Yavagal 226, Tudor Jovin 227, Laurent Spelle 228, Jacques Moret 228, Pooja Khatri 229, Osama Zaidat 230, Jean Raymond 231, Sheila Martins 232, Thanh Nguyen 233,*
PMCID: PMC8010375  PMID: 33459583

Abstract

Background

The COVID-19 pandemic led to profound changes in the organization of health care systems worldwide.

Aims

We sought to measure the global impact of the COVID-19 pandemic on the volumes for mechanical thrombectomy, stroke, and intracranial hemorrhage hospitalizations over a three-month period at the height of the pandemic (1 March–31 May 2020) compared with two control three-month periods (immediately preceding and one year prior).

Methods

Retrospective, observational, international study, across 6 continents, 40 countries, and 187 comprehensive stroke centers. The diagnoses were identified by their ICD-10 codes and/or classifications in stroke databases at participating centers.

Results

The hospitalization volumes for any stroke, intracranial hemorrhage, and mechanical thrombectomy were 26,699, 4002, and 5191 in the three months immediately before versus 21,576, 3540, and 4533 during the first three pandemic months, representing declines of 19.2% (95%CI, −19.7 to −18.7), 11.5% (95%CI, −12.6 to −10.6), and 12.7% (95%CI, −13.6 to −11.8), respectively. The decreases were noted across centers with high, mid, and low COVID-19 hospitalization burden, and also across high, mid, and low volume stroke/mechanical thrombectomy centers. High-volume COVID-19 centers (−20.5%) had greater declines in mechanical thrombectomy volumes than mid- (−10.1%) and low-volume (−8.7%) centers (p < 0.0001). There was a 1.5% stroke rate across 54,366 COVID-19 hospitalizations. SARS-CoV-2 infection was noted in 3.9% (784/20,250) of all stroke admissions.

Conclusion

The COVID-19 pandemic was associated with a global decline in the volume of overall stroke hospitalizations, mechanical thrombectomy procedures, and intracranial hemorrhage admission volumes. Despite geographic variations, these volume reductions were observed regardless of COVID-19 hospitalization burden and pre-pandemic stroke/mechanical thrombectomy volumes.

Keywords: COVID-19, stroke care, acute ischemic stroke, mechanical thrombectomy, intracranial hemorrhage, epidemiology

Introduction

In December 2019, a novel highly pathogenic virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), caused an infectious disease involving multiple organ systems termed coronavirus disease 2019 (COVID-19). COVID-19 holds a unique balance between high transmissibility and low-to-moderate morbidity and mortality that has led to a nearly universal spread with devastating consequences worldwide. On 11 March 2020, the World Health Organization declared a global pandemic as COVID-19 hospitalizations and emergency medical system activations increased. As a potential consequence of its neurotropism as well as the inflammatory, immunological, and coagulation disorders, COVID-19 has been reported in association with a broad array of neurological disorders including encephalitis, Guillain-Barre syndrome, seizures, ischemic, and hemorrhagic strokes.1 Some groups reported an increase in cryptogenic strokes involving young patients with SARS-CoV-2 infection, possibly in association with endothelial inflammation and thrombotic diathesis.27 Others reported a decline in the rates of stroke hospitalizations and the proportion of patients receiving reperfusion therapies (intravenous thrombolysis (IVT) and/or mechanical thrombectomy (MT)) for acute ischemic stroke (AIS). Notably, many of these studies originated from global epicenters for the pandemic supporting the notion that the indirect or collateral damage of COVID-19 on systems of care has had a greater impact on stroke patients than the viral infection itself.3,5,812 However, most of these reports were limited to regional or country-specific analyses, and thus, the extent to which the COVID-19 outbreak has impacted global stroke systems of care has not been previously assessed. Importantly, given the profound benefit of MT in AIS, the global public health impact of such declines, if confirmed, adds to the devastation caused by COVID-19.

Aims and hypotheses

We conducted an international, observational study on the impact of the COVID-19 pandemic on stroke care at the height of the COVID-19 pandemic. Our primary aim was to evaluate the effect of COVID-19 on stroke care as measured by the changes in volumes for overall stroke hospitalizations, ischemic stroke/transient ischemic attacks (TIA) admissions, ICH admissions, and MT procedures across the pre-pandemic and pandemic periods in a multinational pool of comprehensive stroke centers (CSC). The study compared the three initial months of the pandemic (1 March 2020–31 May 2020) with (1) the immediately preceding months (December 2019–February 2020 for overall volume and November 2019–February 2020 for monthly volume) as the primary analysis and (2) the equivalent three months in the previous year (1 March 2019–30 May 2019) as the secondary analysis. The reason for this analytic hierarchy was an a priori expectation that the volumes for both stroke admissions and MT procedures would increase over time due to the growing evidence supporting the broader utilization of MT.1315 While the primary analysis provided a realistic picture of stroke care utilization prior to COVID-19, the secondary analysis allowed for the assessment for potential seasonal variations.16

We hypothesized that in the face of the pandemic’s strain on healthcare infrastructure, (1) a reduction in all four aforementioned measurements of stroke care would take place over the pandemic, (2) centers with higher COVID-19 inpatient volumes would report greater decreases in stroke admissions and MT procedure volumes, (3) the degree of decline in stroke admissions and MT procedure volumes would be less profound in high-volume compared to low-volume stroke centers, and (4) a geographic variation would exist in the intensity of decline in stroke care.

Methods

Data are available upon request to the corresponding author.

Study design

This was a cross-sectional, observational, retrospective study evaluating monthly and weekly volumes of consecutive patients hospitalized with a diagnosis of COVID-19, stroke, MT, and ICH. The diagnoses were identified by their related ICD-10 codes (primary, secondary, or tertiary discharge codes) and/or classifications in stroke databases at participating centers.

Setting and participants

Data were collected from collaborators of the Society of Vascular and Interventional Neurology, the Middle East North Africa Stroke and Interventional Neurotherapies Organization, the Japan Society of Vascular and Interventional Neurology, and academic partners from 6 continents, 40 countries, and 187 CSCs. To reduce bias, only centers providing the full dataset required for any given analysis were included in that specific analysis. Centers were screened for potential confounders that could explain unexpected changes in volumes. One center in Vietnam was excluded from the MT secondary analysis due to an abrupt increase in volume attributed to the purchase of automated imaging software. One center in Brazil was excluded from the stroke admission analysis because it became the designated center for stroke patients, resulting in tripling of their volumes.

Study variables and outcomes measures

The overall and mean monthly volumes for stroke hospitalizations, admissions for ischemic stroke/TIA, and admissions for ICH and MT procedures were compared across the pandemic and pre-pandemic periods for the overall population and across the low, mid, and high volume strata based on mean monthly volume tertiles for COVID-19 hospitalizations (≤10.6 vs. >10.6–103.6 vs. >103.6 COVID-19 admissions/month), stroke admissions (≤46.2 vs. >46.2–78.4 vs. >78.4 stroke admissions/month), and MT interventions (≤4.8 vs. >4.8 to 11.4 vs. >11.4 procedures/month).

Statistical analysis

We first compared overall hospital volumes for stroke admissions (overall stroke, ischemic, and ICH) and MT procedures between the pre-pandemic and the pandemic period. For this analysis, the percentage change in the number of admissions or procedures between the two time periods was calculated. The three-month pre-pandemic period was restricted to three months before the pandemic (1 December 2019–29 February 2020) to keep it consistent with the three months during the COVID-19 pandemic group (1 March 2020–31 May 2020). The 95% confidence intervals for percentage change were calculated using the Wilson procedure without continuity correction. The analyses were repeated within each tier (low, mid, and high) of centers classified based on COVID-19 hospitalizations, stroke admissions, and MT procedures. The relative percentage change in overall volume between low, mid, and high-volume centers was tested using the z-test of proportion. We also looked at relative change in overall volume by continent.

In the second analysis, we compared monthly hospital volumes (admissions or procedures/hospital/month) for our outcome of interests between the pre-pandemic and the pandemic period. For the pre-pandemic period, for each hospital, the monthly hospital volume was calculated from November 2019 to February 2020 and compared to the monthly hospital volume during the pandemic period (1 March 2020–31 May 2020). The data were analyzed in a mixed design using a repeated-measures analysis of variance (PROC MIXED analysis in SAS) to account for the paired data structure and potential covariates. The auto-regressive, compound symmetrical, and unstructured variance-covariance matrix structures were analyzed for the best model determined by Akaike’s Information Criterion. The unstructured matrix was the best fit and used for most analyses. The monthly hospital volume analysis was adjusted for peak COVID-19 volume for each country and the continent. Estimated marginal means were calculated using the LSMEANS statement in PROC MIXED. Similar to the overall volume analysis, monthly volume analysis was repeated within low, mid, and high tier of centers based on their COVID-19 hospitalizations, stroke admissions, and MT procedures as well as by the continent.

Finally, for our secondary objective, we compared the relative change in overall volume and change in monthly hospital volume during the COVID-19 pandemic and corresponding three months from 2019 (1 March 2019–31 May 2019). All data were analyzed using SAS version 9.4 (SAS Institute), and the significance level was set at a p-value of <0.05.

Funding and ethics

This was an investigator-initiated project with no funding. The first and last authors wrote the first draft of the manuscript with subsequent input of all co-authors. The institutional review boards from the coordinating sites (Emory University and Boston University) considered that the investigators did not have access to protected health information, and thus no IRB oversight was required since the study did not meet the federal description of human subject research. This study is reported in accordance with the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) statement.

Results

A total of 16,141, 26,699, and 21,576 stroke hospitalizations (overall n = 64,416) and 3397, 5191, and 4533 MT procedures (overall n = 13,121) were included across the three-month prior year, three-month immediately pre-pandemic, and three-month pandemic periods, respectively.

Overall stroke hospitalization volumes

In the primary analysis of overall volume, stroke hospitalization volumes were 26,699 admissions in the three months immediately before compared to 21,576 admissions during the pandemic, representing a 19.2% (95%CI, −19.7 to −18.7, N = 121 sites) drop, Table 1. The stroke hospitalization decline had a geographic variation: Asia, −20.5% (95%CI, −21.2 to −19.8); North America, −20.6% (95%CI, −21.4 to −19.7); Europe, −11.2% (95%CI, −12.3 to −10.1); South America, −15.9% (95%CI, −17.9 to −14.0); Oceania, −11.6% (95%CI, −14.4 to −9.3); Africa, −48.1% (95%CI, −55.8 to −40.5), Table S1. In an analysis of monthly volume, after adjustment for peak COVID-19 volume by country and continent, the number of hospitalizations for stroke/month/hospital (adjusted mean (SE)) declined from 76.4 (12.3) pre-pandemic to 64.2 (12.0) during the pandemic (p < 0.0001), Table 1.

Table 1.

Stroke admissions overall and monthly volumes immediately before and during the COVID-19 pandemic

Overall volume
Monthly volumea
N n1 n2 Change N Immediately before During COVID-19 p
% (95%CI) Adjusted mean (SE)
Overall 119 26,699 21,576 –19.2 (−19.7 – −18.7) 121 76.4 (12.3) 64.2 (12.0) <0.0001
Hospital COVID-19 volumeb
 Low 38 7612 6654 −12.6 (−13.4 – −11.9) 38 62.4 (31.4) 53.9 (30.7) 0.002
 Mid 31 7495 6008 −19.8 (−20.8 – −19.0) 34 84.8 (10.5) 71.0 (8.7) 0.002
 High 30 7163 5534 −22.7 (−23.7 – −21.8) 33 90.1 (9.8) 72.9 (9.3) <0.0001
Hospital stroke volumec
 Low 40 3536 3003 –15.1 (–16.3 – –13.9) 40 28.7 (2.6) 24.5 (2.5) <0.0001
 Mid 37 6804 5609 –17.6 (–18.5 – –16.7) 40 62.7 (2.7) 53.1 (3.3) <0.0001
 High 37 14,994 12,400 –17.3 (–17.9 – –16.7) 41 134.1 (21.6) 111.6 (20.8) <0.0001

N: number of hospitals; n1: number of admissions immediately before COVID-19 pandemic; n2: number of admissions during COVID-19 pandemic; CI: confidence interval; SE: standard error.

Note: The n1 is based on 3 months before (December 2019–February 2020) COVID-19 pandemic.

a

The monthly volume analysis is adjusted for peak COVID-19 volume for each country and the continent.

b

p: low vs. mid ≤ 0.0001; low vs. high ≤ 0.0001; mid vs. high ≤ 0.0001.

c

p: low vs. mid = 0.001; low vs. high = 0.002; mid vs. high = 0.588.

Mechanical thrombectomy procedural volumes

MT volume data was represented by 176 centers in the primary analysis with 5191 procedures in the three months immediately preceding compared to 4533 procedures during the first three months of the pandemic, representing a 12.7% (95%CI, −13.6 to −11.8) decline, Table 2. The volume reduction varied: Asia, −9.8% (95%CI, −11.3 to −8.4); North America, −14.5% (95%CI, −16.2 to −12.9); Europe, −14.4% (95%CI, −16.4 to −12.6); South America, −12.4% (95%CI, −19.0 to −7.9), Oceania, −9.4% (95%CI, −13.4 to −6.5); Africa, −21.2% (95%CI, −37.8 to −10.7), Table S2. The adjusted mean (SE) number of MT procedures/month/center decreased from 10.9 (1.3) pre-pandemic to 9.8 (1.3) during the pandemic (p < 0.0001), Table 2. There were 120 centers that reported concomitant monthly data on stroke admission and MT volume. The adjusted mean (SE) monthly proportion of MT relative to stroke admissions remained stable across the pre-pandemic and pandemic periods (17.8 (2.2)% vs. 18.5 (2.2)%, respectively; p = 0.150). This proportional stability in MT performance was consistent across all COVID-19 and MT hospitalization volumes strata, Table S3.

Table 2.

Mechanical thrombectomy overall and monthly volumes immediately before and during the COVID-19 pandemic

Overall volume
Monthly volumea
N n1 n2 Change N Immediately before During COVID-19 p
% (95%CI) Adjusted mean (SE)
Overall 176 5191 4533 −12.7 (−13.6 – −11.8) 173 10.9 (1.3) 9.8 (1.3) <0.0001
Hospital COVID-19 volumeb
 Low 44 952 869 −8.7 (−10.7 – −7.1) 44 11.2 (3.6) 10.5 (3.5) 0.044
 Mid 45 1370 1232 −10.1 (−11.8 – −8.6) 45 11.7 (1.2) 10.8 (1.2) 0.004
 High 45 1602 1273 −20.5 (−22.6 – −18.6) 46 7.8 (2.2) 5.7 (2.2) <0.0001
Hospital MT volumec
 Low 59 459 412 –10.2 (–13.4 – –7.8) 60 2.6 (0.36) 2.3 (0.36) 0.082
 Mid 55 1294 1092 –15.6 (–17.7 – –13.7) 55 8.1 (0.46) 7.0 (0.50) 0.0002
 High 58 3432 3029 −11.7 (−12.9 – −10.7) 58 18.8 (1.8) 16.8 (1.7) 0.0002

N: number of hospitals; n1: number of procedures immediately before COVID-19 pandemic; n2: number of procedures during COVID-19 pandemic; CI: confidence interval; SE: standard error; MT: mechanical thrombectomy.

The n1 is based on three months before (December 2019–February 2020) COVID-19 pandemic.

a

The monthly volume analysis is adjusted for peak COVID-19 volume for each country and the continent.

b

p: low vs. mid = 0.259; low vs. high ≤ 0.0001; mid vs. high ≤ 0.0001.

c

p: low vs. mid = 0.004; low vs. high = 0.345; mid vs. high = 0.0003.

Ischemic stroke/TIA and intracranial hemorrhage volumes

The ischemic stroke/TIA admission volumes declined from 19,882 to 16,884 patients across the three months preceding versus the pandemic months, corresponding to a 15.1% (95%CI, −15.6 to −14.6, N = 113 sites) reduction with an adjusted mean (SE) number of ischemic stroke or TIA/month/center decreasing from 64.3 (6.8) to 55.6 (6.5) across the two epochs (p < 0.0001). Complete results are presented in Table S4.

The ICH admission volumes, submitted by 100 sites, decreased from 4002 to 3540 patients across the three months immediately before versus the pandemic months, representing an 11.5% (95%CI, −12.6 to −10.6) decline with the adjusted mean (SE) number of hospitalizations for ICH/month/center dropping from 13.4 (2.6) to 11.6 (2.6) across the two periods (p < 0.0001), Table S5.

Changes in stroke care metrics during the pandemic as a function of COVID-19 hospitalization volumes

Figures 1 and 2 provide the weekly volume of stroke admissions (ischemic and hemorrhagic), MT, and COVID-19 hospitalizations. COVID-19 hospital weekly volume data was available for 131 centers. There was an early peak of 1235 COVID-19 hospitalizations in February which predominantly originated from one hospital in Wuhan, China. Significant reductions in the mean monthly volumes were seen for all stroke care metrics across all tertiles of low, mid, and high COVID-19 hospitalization volumes. The exception was ICH volumes in high-volume COVID-19 centers which did not show a statistically significant difference (Tables 1, S4, and S5). High-volume COVID-19 centers (−20.5%; 95%CI, −22.6 to −18.6) had greater declines in MT volumes than mid- (−10.1%; 95%CI, −11.8 to −8.6; p < 0.0001) and low-volume (−8.7%; 95%CI, −10.7 to −7.1; p < 0.0001) COVID-19 centers, Table 2. Likewise, high-volume COVID-19 centers (−22.7%; 95%CI, −23.7 to −21.8) had greater reductions in stroke hospitalization volumes than mid- (−19.8%; 95%CI, −20.8 to −19.0; p < 0.0001) and low-volume (−12.6%; 95%CI, −13.4 to −11.9; p < 0.0001) COVID-19 centers, Table 1.

Figure 1.

Figure 1.

Weekly volume of stroke admissions (ischemic and hemorrhagic) and COVID-19 hospitalizations volumes.

*Peak of 1235 COVID hospitalizations in the second week of February, predominantly from one hospital in Wuhan, China.

Figure 2.

Figure 2.

Weekly volume of mechanical thrombectomy and COVID-19 hospitalizations.

*Peak of 1235 COVID hospitalizations in the second week of February, predominantly from one hospital in Wuhan, China.

Changes in stroke care metrics during the pandemic as a function of stroke center MT and admission volumes

Significant declines in the mean monthly volumes were observed for all stroke/MT metrics across low-, mid-, and high-volume stroke/MT centers except MT volumes in low-volume MT centers showed a trend in decline (Tables 1, 2, S4, and S5). Mid-volume stroke centers (−17.6%; 95% CI, −18.5 to −16.7) demonstrated greater decreases in stroke admission volumes than low-volume (−15.1%; 95%CI, −16.3 to −13.9; p < 0.0001) centers, Table 1.

Secondary objective

Table S6 depicts the volumes for overall stroke, ischemic stroke/TIA, ICH hospitalizations, and MT procedures during the first three months of the pandemic versus the corresponding period in the prior year. Compared to the prior year, there were significant declines in the monthly volumes for stroke and ischemic stroke/TIA admissions but not for ICH and MT.

Associations between the diagnoses of COVID-19 and stroke

There were 124 centers that reported patients with concomitant stroke (all subtypes) and SARS-CoV-2 infection. To reduce bias, 13 centers with no COVID-19 patients were excluded, leaving 111 eligible centers. A diagnosis of any stroke was present in 791 of 54,366 (1.45%; 95% CI 1.35–1.55) COVID-19 hospitalizations. There was geographic variation with incidences ranging from 0.43% (95%CI 0.08–2.38) in Oceania to 11.9% in South America (95%CI 10.05–14.03), Table S7. Conversely, 784 of the 20,250 (3.9%, 95% CI 3.61–4.14) overall stroke admissions were diagnosed with COVID-19 with proportions varying from 0.14% (95%CI 0.03–0.78) in Oceania to 8.93% in South America (95%CI 7.54–10.55), Table S8.

Discussion

We noted a significant global decline in all measured stroke care metrics in the current study including the numbers of mechanical thrombectomy procedures (−12.7%), overall stroke admissions (−19.2%), ischemic stroke/TIA admissions (−15.1%), and intracranial hemorrhage hospitalization volumes (−11.5%) during the COVID-19 pandemic as compared to the immediately preceding three months, confirming our primary hypothesis. Volume reductions were also seen in relation to the equivalent period in the prior year for stroke admissions and ischemic/TIA admissions. The intensity of the decline was more pronounced when comparing the pandemic period with the immediate three months prior than with the same months in 2019 (MT: 12.7% vs. 6.0%; stroke admissions: 19.2% vs. 12%). This followed our a priori expectations in face of the expansions in MT indications along with its progressive but gradual global implementation in developed and developing countries.17 Interestingly, despite the absolute decrease in MT volumes, the proportion of MT relative to stroke admissions remained stable during the pandemic. While at first glance this might suggest that the intra-hospital workflow was maintained, it is possible that this was not the case since one would actually expect an increase in the MT ratio relative to stroke admissions as many studies have now demonstrated that there was a preferential decline in patients presenting with milder strokes during the pandemic.4,11,1820 The decreases in the amount of stroke care were noted across centers with high, mid, and low COVID-19 hospitalization burden and also across high, mid, and low volume stroke and MT centers. As hypothesized, centers with higher COVID-19 inpatient volumes suffered more declines. Contrary to our expectations, the declines in stroke hospitalizations and MT volumes were more profound in mid-(and high-) volume than low-volume stroke centers. This might be related to the fact that larger centers were more likely to become the preferred destination for COVID-19 referrals leading to capacity issues. Finally, we confirmed a broad geographic variation in the patterns of stroke care decline.

Our results align with recent reports emphasizing the collateral effects of the COVID-19 pandemic on stroke systems of care from China,10,18 Spain,3,19 Italy,21,22 France,9,23 Germany,12 Brazil,20 Canada,24 and United States,5,11,25,26 showing declines in the volumes for MT, IVT, and stroke hospitalizations over the pandemic (Table S9–11). Some of these studies also reported delays in hospital arrival times18,21,25 and treatment workflow.9,21 Our analysis adds to the growing literature regarding the collateral damage of COVID-19 on stroke care with the advantage of providing a broader global perspective. While the overall data clearly points to a significant reduction in the quantity of stroke care provided during the pandemic, it also depicts variations within and across the different regions reflecting the diversity in the epidemiology for COVID-19 as well as in the socio-cultural behaviors, healthcare logistics, and infrastructure encountered across the globe. Indeed, our study demonstrated important geographic variations in the proportional declines for both stroke hospitalization and MT volumes. Notably, our analysis may have underestimated the impact of geographic disparities in healthcare resources and related socio-economic factors as we only included thrombectomy capable centers which are known to have better infrastructure than the more commonly found primary stroke centers. Moreover, there was a higher geographic variation in the proportional decline for stroke hospitalization (Asia, −20.5%; North America, −20.6%; Europe, −11.2%; South America, −15.9%, Oceania, −11.6%; Africa, −48.1%) than mechanical thrombectomy (Asia, −9.8%; North America, −14.5%; Europe, −14.4%; South America, −12.4%, Oceania, −9.4%; Africa, −21.2%) volumes. As seen in relation to the stability in the MT ratio relative to stroke admissions, this might have been related to the favored decline in milder strokes over the course of the pandemic.4,11,1820 Given the growing evidence supporting the association between COVID-19 and thromboembolic events, it would be expected that the stroke incidence would rise at the precipice of the pandemic. Several factors may explain this paradoxical global decrease in stroke, MT, and ICH volumes observed in this study. As this decline in stroke volume was seen in centers with low or non-existent COVID-19 hospitalizations, hospital access due to the COVID-19 hospitalization burden was unlikely a major factor.12 As elective surgeries were canceled with the pandemic, a decrease in perioperative stroke may have played a role. It is also conceivable that the environmental situation of a lockdown, with improved patient behaviors or medication compliance, may be protective in decreasing vascular events.27 A reduction in exposure to other common viruses that may play a role in triggering vascular events may have also reduced stroke risk. However, it is unlikely that true incidence of stroke declined and more likely the behavioral and infrastructural changes related to the pandemic led to a reduction of admission of AIS patients, especially during the initial phases of public lockdown. Fear of contracting SARS-CoV-2 may have led many patients with milder stroke presentations to avoid seeking medical attention.4,11,1820 Physical distancing measures may have prevented patients from the timely witnessing of a stroke.

Our subgroup of 111 centers including 54,366 COVID-19 hospitalizations is the largest sample reporting the concomitant diagnoses of stroke and SARS-CoV-2 infection to date. Our 1.45% stroke rate in COVID-19 hospitalizations is similar to the pooled incidence of 1.1–1.2% (range, 0.9–2.7%) of hospitalized COVID-19 patients.28,29 Some variations in the proportions are expected given the different definitions (all strokes vs. ischemic only) and populations involved (all hospitalized vs. severely infected only) across studies. We also provide a new perspective on this relationship by reporting an incidence of 3.9% (784/20,250) for SARS-CoV-2 infection across all stroke admissions among centers with documented COVID-19 hospitalization.

Study strengths and limitations

The strength of our study was the large volume of patients (n = 64,416) and a high number of centers (n = 187) contributing data from a diverse population across six continents and 40 countries. Our study contained centers with high and low COVID-19 hospitalization admissions, high and low stroke admission, and MT volumes, permitting the generation of multiple hypotheses and endpoints.

The limitations of this study were that the diagnosis of stroke/TIA/ICH, thrombectomy volume in some centers was obtained using hospital ICD administrative codes, and verification for accurate diagnosis was not universally undertaken. The centers contributing to these data have systems in place to track stroke admissions; thus, the relative changes in volume from this analysis are likely accurate. Details on patient-level data including demographics, stroke subtypes, and clinical outcomes were not collected as these were not the focus of the study. As with any other study, our data may underestimate true rates of concomitant SARS-CoV2 infection with a stroke diagnosis depending on the frequency of testing at each site and across the study period. The definition of the pandemic period was arbitrary since the outbreak started and peaked at different times at different locations. After adjustment for peak COVID-19 volume for each country and continent, the monthly volume declines were retained for all stroke metrics (stroke hospitalization, MT, ICH). As the penetration of MT remains limited in many countries,17 some geographic regions were not represented (i.e. central Africa). We did not collect data on the timing or intensity of social distancing policies including lockdown implementation across the different localities which likely played an important role in the reported stroke care decline. Finally, the sampling varied with the availability of complete data in each subset of the analysis.

Summary

There was a significant global decline in mechanical thrombectomy and stroke admissions over the three months studied during the pandemic. These decreases were seen regardless of COVID-19 admission burden, individual pre-pandemic stroke, and MT volumes. Thus, it is critical to expeditiously raise public awareness to prevent the additional healthcare consequences associated with the lack of stroke treatment. These findings can inform regional stroke networks preparedness29 in the face of a future pandemic or anticipated surge of COVID-19 cases in order to ensure that the access and quality of stroke care remains preserved despite the crises imposed by the continuous spread of the virus.

Acknowledgements

Patrick Nicholson, MD, Jasmine Johann, MSN, FNP-BC, Judith Clark, RN, Matt Metzinger, MBA, CPHQ, Jefferson, Kamini Patel, RN, MBA, Janis Ginnane, RN.

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.

Supplemental material: Supplemental material for this article is available online.

Disclosures

Dr Nguyen: Medtronic.

Dr Nogueira: Stryker; Cerenovus/Neuravi; Ceretrieve.

Dr Walker: Medtronic, Cerenovus.

ORCID iDs

Y Mansour https://orcid.org/0000-0001-8814-6431

Zhongming Qiu https://orcid.org/0000-0002-1622-9526

James E Siegler https://orcid.org/0000-0003-0287-3967

Laura Mechtouff https://orcid.org/0000-0001-9165-5763

Omer Eker https://orcid.org/0000-0002-5696-5368

Raoul Pop https://orcid.org/0000-0003-4417-1496

Juan F Arenillas https://orcid.org/0000-0001-7464-6101

Mahmoud Mohammaden https://orcid.org/0000-0002-7393-9989

Simon Nagel https://orcid.org/0000-0003-2471-6647

Mudassir Farooqui https://orcid.org/0000-0003-3697-5697

Ameer E Hassan https://orcid.org/0000-0002-7148-7616

Allan Taylor https://orcid.org/0000-0002-2692-2068

Bertrand Lapergue https://orcid.org/0000-0002-8993-2175

Bruce CV Campbell https://orcid.org/0000-0003-3632-9433

Noel Van Horn https://orcid.org/0000-0001-5764-1982

Ryoo Yamamoto https://orcid.org/0000-0001-8585-9831

Takehiro Yamada https://orcid.org/0000-0001-5196-1934

Yukako Yazawa https://orcid.org/0000-0003-3891-0221

Jane Morris https://orcid.org/0000-0001-5256-8165

Michael D Hill https://orcid.org/0000-0002-6269-1543

Thanh Nguyen https://orcid.org/0000-0002-2810-1685

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