Literature DB >> 34034932

Reply to Letter to Editor.

Isabel Siow1, Keng Siang Lee2, John J Y Zhang2, Seyed Ehsan Saffari2, Adeline Ng2, Barnaby Young2.   

Abstract

Entities:  

Year:  2021        PMID: 34034932      PMCID: PMC8141905          DOI: 10.1016/j.jstrokecerebrovasdis.2021.105881

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


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We sincerely thank Dr Au for the interest in our article, “Stroke as a Neurological Complication of COVID-19: A Systematic Review and Meta Analysis of Incidence, Outcomes and Predictors” and her concern regarding possible overlap between some of the studies included in our analysis. This has been a significant issue for researchers conducting systematic reviews during the COVID-19 pandemic as the urgent need for data can result in datasets being included in multiple manuscripts but their providence not clearly reported. While conducting the systematic review we excluded studies where there was clear evidence of overlap. However, we agree that it is important to readdress this for the studies in question, namely: (i) Nalleballe et al. and all 29 other studies included in this analysis; (ii) Jain et al. & Yaghi et al.; (iii) Varatharaj et al., Beyrouti et al. & Benger et al.; (iv) Belani et al. & Kihira et al. To clarify whether there was truly an overlap, we contacted each of the above authors individually. We determined that there was no overlap between patients in the studies by Varatharaj et al. and Benger et al. through direct correspondence with Dr Benger. There was likely an overlap between the studies by Varatharaj et al. and Beyrouti et al. However, due to the nature of some databases, we were unable to determine if there was overlap between patients in the remaining studies in question. To exclude this possibility and to address Dr Au's concern, we have performed further sensitivity analyses. Subsequent sensitivity analyses yielded minimal changes between the pooled results originally published in our study and after including the above-mentioned studies. Patient demographics including age (Mean age: 65.5 years in original article vs 65.7 years in revised analysis), percentage of males (70.5% vs 73.2%) and admission NIHSS score (Mean: 17.9 vs 15.2) were similar in both analyses. The comorbidity profiles were also similar. The proportion of patients with ischaemic stroke (compared to haemorrhagic stroke) was similar between original and revised analyses (82.8% vs 81.3%). Incidence of stroke as a complication for COVID-19 was slightly lower in our original analysis than in our revised analyses (1.74% vs 2.69%). The mortality rate of COVID-19 patient who developed stroke was similar between original and revised analyses (31.8% vs 31.0%) (Figs. 1 –3 , Tables 1 –3 ).
Fig. 1

Incidence of stroke.

Fig. 3

Outcomes, mortality.

Table 1

Summary of studies.

StudyCountryStudy designNo. stroke patientsAge,MeanMale, N (%)NIHSS, Mean
Ashrafi et al.IranCase series643.53 (50.0)10.2
Belani et al.United StatesCross-sectional1965.6
Benger et al.United StatesCase series552.53 (60.0)
Benussi et al.United StatesCross-sectional38
Cantador et al.SpainCross-sectional876.47 (87.5)
Coolen et al.United StatesCross-sectional197714 (73.7)
D'Anna et al.United KingdomCase series864.47 (87.5)9.1
Escalard et al.United StatesCross-sectional1059.5*8 (80.0)22.0*
Immovilli et al.ItalyCase series199.8
Jain et al.NetherlandsCross-sectional3566*
Khan et al.United KingdomCase series2246.320 (90.9)
Klok et al.United StatesCross-sectional5
Kremer et al.United StatesCase series376130 (81.1)
Li et al.ChinaCase series1175.55 (45.5)14.4
Lodgiani et al.United StatesCross-sectional968.46 (66.7)
Merkler et al.United StatesCross-sectional3169*18 (58.1)16.0*
Mohamud et al.United StatesCase series665.85 (83.3)13.3
Morassi et al.ItalyCase series668.55 (83.3)
Oxley et al.United StatesCase series540.44 (80.0)16.8
Pons-Escoda et al.SpainCross-sectional2071*13 (65.0)
Scullen et al.United StatesCross-sectional7
Sierra et al.GermanyCase series868.5*7 (87.5)27.0*
Sweid et al.United KingdomCase series2259.510 (45.5)13.8
Varatharaj et al.United KingdomCross-sectional6673.5*44 (66.7)
Wang et al.United KingdomCase series552.84 (80.0)22.8
Xiong et al.United StatesCross-sectional10
Overall43765.7213 (73.2)15.2

Data originally reported as median

Weighted average

Table 3

Type of stroke (Ischaemic VS Haemorrhagic).

StudyNo. stroke patientsIschaemic stroke, N (%)Haemorrhagic stroke,N (%)
Ashrafi et al.66 (100.0)0
Belani et al.1919 (100.0)0
Benger et al.50 (0.0)5
Benussi et al.3835 (92.1)3
Cantador et al.88 (100.0)0
Coolen et al.194 (21.1)15
D'Anna et al.87 (87.5)1
Escalard et al.1010 (100.0)0
Immovilli et al.1917 (89.5)2
Jain et al.3526 (74.3)9
Khan et al.2222 (100.0)0
Klok et al.55 (100.0)0
Kremer et al.3717 (45.9)20
Li et al.1110 (90.9)1
Lodgiani et al.99 (100.0)0
Merkler et al.3131 (100.0)0
Mohamud et al.66 (100.0)0
Morassi et al.64 (66.7)2
Oxley et al.55 (100.0)0
Pons-Escoda et al.2013 (65.0)7
Scullen et al.74 (57.1)3
Sierra et al.88 (100.0)0
Sweid et al.2219 (86.4)3
Varatharaj et al.6657 (86.4)9
Wang et al.55 (100.0)0
Overall427347 (81.3)80 (17.2)
Incidence of stroke. Incidence of stroke excluding critically-ill studies. Outcomes, mortality. Summary of studies. Data originally reported as median Weighted average Comorbidities. Type of stroke (Ischaemic VS Haemorrhagic). In conclusion, despite the possible overlap in patients between a few of the studies, the pooled results in our original analysis did not defer greatly from the revised analyses after removing the studies in question, indicating that the results in our original analysis were robust and accurate.

Declaration of Competing Interest

None.
Table 2

Comorbidities.

StudyNo. strokePatientsDiabetes Mellitus,N (%)Hypertension, N (%)Hyperlipidaemia, N (%)Chronic Kidney Disease, N (%)Ischaemicheartdisease,N (%)Malignancy, N (%)Smoking, N (%)
Ashrafi et al.61 (16.7)3 (50.0)0 (0.0)
Benger et al.52 (40.0)4 (80.0)1 (20.0)1 (20.0)
Beyrouti et al.61 (16.7)2 (33.3)1 (16.7)
Cantador et al.84 (50.0)8 (100.0)7 (87.5)5 (62.5)6 (75.0)
Coolen et al.296 (20.7)16 (55.2)7 (24.1)5 (17.2)5 (17.2)
D'Anna et al.82 (25.0)5 (62.5)1 (12.5)2 (25.0)2 (25.0)2 (25.0)
Escalard et al.204 (20.0)5 (25.0)3 (15.0)1 (5.0)
Immovilli et al.192 (10.5)16 (84.2)
Jain et al.3514 (40.0)
Khan et al.228 (36.4)7 (31.8)2 (9.1)2 (9.1)
Li et al.116 (54.5)9 (81.8)3 (27.3)1 (9.1)1 (36.4)
Lodgiani et al.92 (22.2)
Merkler et al.3123 (74.2)30 (96.8)17 (54.8)8 (25.8)16 (51.6)
Mohamud et al.65 (83.3)6 (100.0)1 (16.7)
Morassi et al.63 (50.0)4 (66.7)2 (33.3)1 (16.7)
Oxley et al.52 (33.3)1 (16.7)1 (16.7)
Pons-Escoda et al.205 (25.0)13 (65.0)9 (45.0)1 (5.0)
Sierra et al.83 (37.5)5 (62.5)4 (50.0)0 (0.0)
Sweid et al.222 (9.1)10 (45.5)1 (4.5)3 (13.6)
Wang et al.51 (20.0)2 (40.0)2 (40.0)
Overall28180 (33.8)154 (57.9)51 (38.3)10 (16.9)38 (27.3)15 (23.1)18 (16.7)
  8 in total

1.  COVID-19 Is an Independent Risk Factor for Acute Ischemic Stroke.

Authors:  P Belani; J Schefflein; S Kihira; B Rigney; B N Delman; K Mahmoudi; J Mocco; S Majidi; J Yeckley; A Aggarwal; D Lefton; A H Doshi
Journal:  AJNR Am J Neuroradiol       Date:  2020-06-25       Impact factor: 3.825

2.  Neurological and neuropsychiatric complications of COVID-19 in 153 patients: a UK-wide surveillance study.

Authors:  Aravinthan Varatharaj; Naomi Thomas; Mark A Ellul; Nicholas W S Davies; Thomas A Pollak; Elizabeth L Tenorio; Mustafa Sultan; Ava Easton; Gerome Breen; Michael Zandi; Jonathan P Coles; Hadi Manji; Rustam Al-Shahi Salman; David K Menon; Timothy R Nicholson; Laura A Benjamin; Alan Carson; Craig Smith; Martin R Turner; Tom Solomon; Rachel Kneen; Sarah L Pett; Ian Galea; Rhys H Thomas; Benedict D Michael
Journal:  Lancet Psychiatry       Date:  2020-06-25       Impact factor: 27.083

3.  Spectrum of neuropsychiatric manifestations in COVID-19.

Authors:  Krishna Nalleballe; Sanjeeva Reddy Onteddu; Rohan Sharma; Vasuki Dandu; Aliza Brown; Madhu Jasti; Sisira Yadala; Karthika Veerapaneni; Suman Siddamreddy; Akshay Avula; Nidhi Kapoor; Kamran Mudassar; Sukanthi Kovvuru
Journal:  Brain Behav Immun       Date:  2020-06-17       Impact factor: 7.217

4.  Intracerebral haemorrhage and COVID-19: Clinical characteristics from a case series.

Authors:  Matthew Benger; Owain Williams; Juveria Siddiqui; Laszlo Sztriha
Journal:  Brain Behav Immun       Date:  2020-06-07       Impact factor: 7.217

5.  COVID-19 related neuroimaging findings: A signal of thromboembolic complications and a strong prognostic marker of poor patient outcome.

Authors:  Rajan Jain; Matthew Young; Siddhant Dogra; Helena Kennedy; Vinh Nguyen; Simon Jones; Seda Bilaloglu; Katherine Hochman; Eytan Raz; Steven Galetta; Leora Horwtiz
Journal:  J Neurol Sci       Date:  2020-05-19       Impact factor: 3.181

6.  Incidental COVID-19 related lung apical findings on stroke CTA during the COVID-19 pandemic.

Authors:  Shingo Kihira; Javin Schefflein; Michael Chung; Keon Mahmoudi; Brian Rigney; Bradley N Delman; J Mocco; Amish Doshi; Puneet Belani
Journal:  J Neurointerv Surg       Date:  2020-05-19       Impact factor: 5.836

7.  SARS-CoV-2 and Stroke in a New York Healthcare System.

Authors:  Shadi Yaghi; Koto Ishida; Jose Torres; Brian Mac Grory; Eytan Raz; Kelley Humbert; Nils Henninger; Tushar Trivedi; Kaitlyn Lillemoe; Shazia Alam; Matthew Sanger; Sun Kim; Erica Scher; Seena Dehkharghani; Michael Wachs; Omar Tanweer; Frank Volpicelli; Brian Bosworth; Aaron Lord; Jennifer Frontera
Journal:  Stroke       Date:  2020-05-20       Impact factor: 7.914

8.  Characteristics of ischaemic stroke associated with COVID-19.

Authors:  Arvind Chandratheva; David J Werring; Rahma Beyrouti; Matthew E Adams; Laura Benjamin; Hannah Cohen; Simon F Farmer; Yee Yen Goh; Fiona Humphries; Hans Rolf Jäger; Nicholas A Losseff; Richard J Perry; Sachit Shah; Robert J Simister; David Turner
Journal:  J Neurol Neurosurg Psychiatry       Date:  2020-04-30       Impact factor: 10.154

  8 in total

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