Predictors of intrahospital mortality in patients with coronavirus disease 2019 and cerebrovascular diseases: rapid systematic review and meta-analysis protocol

Authors

DOI:

https://doi.org/10.31157/an.v29i1.441

Keywords:

Coronavirus, Stroke, Hemorrhage, Outcome, Predictor, SARS-CoV-2

Abstract

Background: Coronavirus disease 2019 (COVID19) is a novel pandemic disease caused by the β-coronavirus SARS-CoV-2. This disease affects primarily the respiratory organs, but the vascular system may also be compromised. COVID19 may lead to either coagulopathies or hemorrhagic disorders involving the central nervous system. Risk factors for a fatal outcome have been suggested but not completely elucidated. Objectives: This systematic review protocol aims to identify clinical, imaging and laboratory variables associated with intra-hospital mortality in patients with COVID19 and cerebrovascular disease. Materials and Methods: Studies will be retrieved from Web of Science, MEDLINE, Scopus, EBSCOhost, Ovid, Rayyan’s COVID-19 Open Research Dataset, and Google Scholar. Inclusion criteria will be observational studies or clinical trials describing patients with both COVID19 and cerebrovascular disease. Exclusion criteria will be studies whose patients remained hospitalized with no defined outcome (intrahospital mortality or discharge), studies written in languages different than English, published before 2019 or whose full-texts could not be retrieved. All demographic, laboratory and imaging variables will be extracted. Data synthesis will be presented in graphs, figures, and summary of findings tables. A global mortality rate will be calculated. A narrative synthesis will be included. A meta-analysis will be performed. For mortality rate and statistical synthesis, only studies reporting the main outcome (intra-hospital mortality or discharge) will be considered. Quality of the evidence will be assessed with the JBI Critical Appraisal tools. This protocol received no funding and isregistered in PROSPERO.

References

Syahrul S, Maliga HA, Ilmawan M, Fahriani M, Mamada SS, Fajar JK, Frediansyah A, Syahrul FN, Imran I, Haris S, Rambe AS, Emran TB, Rabaan AA, Tiwari R, Dhama K, Nainu F, Mutiawati E, Harapan H. Hemorrhagic and ischemic stroke in patients with coronavirus disease 2019: incidence, risk factors, and pathogenesis - a systematic review and meta-analysis. F1000Research. 2021;10:34. doi: 10.12688/f1000research.42308.1 DOI: https://doi.org/10.12688/f1000research.42308.1

Bhatti AUR, Zreik J, Yolcu YU, Alvi MA, Abode-Iyamah K, Quinones-Hinojosa A, Bydon M. Nervous System Involvement in SARS-Coronavirus infection: A Review on Lessons Learned from the Previous Outbreaks, Ongoing Pandemic and What to Expect in the Future. Int J Neurosci. 2021; 132(9):930-938 doi: 10.1080/00207454.2020.1853724 DOI: https://doi.org/10.1080/00207454.2020.1853724

Bai Y, Yao L, Wei T, Tian F, Jin DY, Chen L, Wang M. Presumed Asymptomatic Carrier Transmission of COVID-19. JAMA. 2020;323(14):1406-1407. doi: 10.1001/jama.2020.2565 DOI: https://doi.org/10.1001/jama.2020.2565

AHA/ASA SCL. Temporary Emergency Guidance to US Stroke Centers During the Coronavirus Disease 2019 (COVID-19) Pandemic: On Behalf of the American Heart Association/American Stroke Association Stroke Council Leadership. Stroke. 2020;51(6):1910-1912. doi: 10.1161/STROKEAHA.120.030023 DOI: https://doi.org/10.1161/STROKEAHA.120.030023

Antony J, James WT, Neriamparambil AJ, Barot DD, Withers T. An Australian Response to the COVID-19 Pandemic and Its Implications on the Practice of Neurosurgery. World Neurosurgery. 2020; 139:e864-e871. doi: 10.1016/j.wneu.2020.05.136. Epub 2020 May 22 DOI: https://doi.org/10.1016/j.wneu.2020.05.136

Fung M, Babik JM. COVID-19 in Immunocompromised Hosts: What We Know So Far. 2020; 72(2):340-350. doi: 10.1093/cid/ciaa863 DOI: https://doi.org/10.1093/cid/ciaa863

Wang F, Kream RM, Stefano GB. Long-Term Respiratory and Neurological Sequelae of COVID-19. Med Sci Monit. 2020;26:e9289996. doi: 10.12659/MSM.928996 DOI: https://doi.org/10.12659/MSM.928996

Pranata R, Huang I, Lim MA, Wahjoepramono EJ, July J. Impact of cerebrovascular and cardiovascular diseases on mortality and severity of COVID-19-systematic review, meta-analysis, and meta-regression. J Stroke Cerebrovasc Dis. 2020;29(8):104949. doi: 10.1016/j.jstrokecerebrovasdis.2020.104949 DOI: https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.104949

Parsay S, Vosoughi A, Khabbaz A, Sadigh-Eteghad S. The Incidence and Mortality Ratio of Ischemic Cerebrovascular Accidents in COVID-19 Cases: A Systematic Review and Meta-Analysis. Journal of Stroke and Cerebrovascular Diseases. 2021;30(3):105552. doi: 10.1016/j.jstrokecerebrovasdis.2020.105552 DOI: https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105552

Parsamanesh N, Pezeshgi A, Hemmati M, Jameshorani M, Saboory E. Neurological manifestations of Coronavirus Infections: Role of Angiotensin-Converting Enzyme 2 in COVID-19. Int J Neurosci. 2022;132(9):917-924. doi: 10.1080/00207454.2020.1849193 DOI: https://doi.org/10.1080/00207454.2020.1849193

Chou SH-Y, Beghi E, Helbok R, Moro E, Sampson J, Altamirano V, Mainali S, Bassetti C, Suarez JI, McNett M, Nolan L, Temro K, Cervantes-Arslanian AM, Anand P, Mukerji S, Alabasi H, Westover MB, Kavi T, John S, Da Silva I, Shaik A, Sarwal A, Izzy S, Liotta EM, Batra A, Aysenne A, Rubinos C, Azzam AY, Azab MA, Sandall J, Persondek LM, Ulmer H, Rass V, Pfausler B, Müller C, Jung S, Crean M, Meoni S, Bereczki D, Kovács T, Agajany N, Armon C, Wolfson S, Cotelli MS, Bianchi E, Riahi A, Öztürk S, Ural O, Viktoriia G, Lesiv M, Maia L, Oliveira V, Seabra M, Carvalho V, Vespa P, Provencio J, Olson D, Hemphill C, Venkatasubba Rao CP, Ko N, Fink E, Robertson C, Schober M, Smith Scott A, Hammond M, Paul N, Safonova A, Kaplan L, Ratnayake C, Sharma AD, Skeel A, Villamizar Rosales C, Dolak D, Varelas P, Lotman L, Kaltenbach L, David K. M, GCS-NeuroCOVID CAENERGYC. Global Incidence of Neurological Manifestations Among Patients Hospitalized With COVID-19—A Report for the GCS-NeuroCOVID Consortium and the ENERGY Consortium. JAMA Network Open. 2021;4(5):e2112131. doi: 10.1001/jamanetworkopen.2021.12131 DOI: https://doi.org/10.1001/jamanetworkopen.2021.12131

Al-Olama M, Rashid A, Garozzo D. COVID-19-associated meningoencephalitis complicated with intracranial hemorrhage: a case report. Acta Neurochir (Wien). 2020; 162(7):1495-1499. doi: 10.1007/s00701-020-04402-w DOI: https://doi.org/10.1007/s00701-020-04402-w

Li X, Zhong X, Wang Y, Zeng X, Luo T, Liu Q. Clinical determinants of the severity of COVID-19: A systematic review and meta-analysis. PLoS One. 2021;16(5):e0250602. doi: 10.1371/journal.pone.0250602 DOI: https://doi.org/10.1371/journal.pone.0250602

Wang Y, Shi L, Wang Y, Duan G, Yang H. Cerebrovascular disease is associated with the risk of mortality in coronavirus disease 2019.[letter]. Neurol Sci 2020;41(8):2017-2019. doi: 10.1007/s10072-020-04542- DOI: https://doi.org/10.1007/s10072-020-04542-y

Aggarwal G, Lippi G, Michael Henry B. Cerebrovascular disease is associated with an increased disease severity in patients with Coronavirus Disease 2019 (COVID-19): A pooled analysis of published literature. International Journal of Stroke. 2020;15(4):385-389. doi: 10.1177/1747493020921664 DOI: https://doi.org/10.1177/1747493020921664

Appelros P, Stegmayr B, Terént A. Sex differences in stroke epidemiology: a systematic review. Stroke. 2009;40(4):1082-1090. doi: 10.1161/STROKEAHA.108.540781 DOI: https://doi.org/10.1161/STROKEAHA.108.540781

Rosca EC, Tudor R, Cornea A, Simu M. Parkinson’s Disease in Romania: A Scoping Review Protocol. Brain Sci. 2021;11(2):251. doi: 10.3390/brainsci11020251 DOI: https://doi.org/10.3390/brainsci11020251

Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, McKenzie JE. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. 2021;372:n160. doi: 10.1136/bmj.n160 DOI: https://doi.org/10.1136/bmj.n160

Beller EM, Glasziou PP, Altman DG, Hopewell S, Bastian H, Chalmers I, Gøtzsche PC, Lasserson T, Tovey D, PRISMA FAG. PRISMA for Abstracts: reporting systematic reviews in journal and conference abstracts. PLoS Med. 2013;10(4):e1001419. doi: 10.1371/journal.pmed.1001419 DOI: https://doi.org/10.1371/journal.pmed.1001419

Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA, PRISMA-P G. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015;350:g7647. doi: 10.1136/bmj.g7647 DOI: https://doi.org/10.1136/bmj.g7647

Garritty C, Gartlehner G, Nussbaumer-Streit B, King VJ, Hamel C, Kamel C, Affengruber L, Stevens A. Cochrane Rapid Reviews Methods Group offers evidence-informed guidance to conduct rapid reviews. J Clin Epidemiol. 2021;130:13-22. doi: 10.1016/j.jclinepi.2020.10.007 DOI: https://doi.org/10.1016/j.jclinepi.2020.10.007

Aromataris E, Munn Z, editors. JBI Manual for Evidence Synthesis. JBI; 2020 Available from https://synt hesismanual.jbi.global. https://doi.org/10.46658/JBIMES-20-01 DOI: https://doi.org/10.46658/JBIMES-20-01

Stroup DF. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2000;283(15):2008-12; doi: 10.1001/jama.283.15.2008. DOI: https://doi.org/10.1001/jama.283.15.2008

Polhemus AM, Bergquist R, Bosch de Basea M, Brittain G, Buttery SC, Chynkiamis N, Dalla Costa G, Delgado Ortiz L, Demeyer H, Emmert K, Garcia Aymerich J, Gassner H, Hansen C, Hopkinson N, Klucken J, Kluge F, Koch S, Leocani L, Maetzler W, Micó-Amigo ME, Mikolaizak AS, Piraino P, Salis F, Schlenstedt C, Schwickert L, Scott K, Sharrack B, Taraldsen K, Troosters T, Vereijken B, Vogiatzis I, Yarnall A, Mazza C, Becker C, Rochester L, Puhan MA, Frei A. Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review. BMJ Open. 2020;10(7):e038704. doi: 10.1136/bmjopen-2020-038704 DOI: https://doi.org/10.1136/bmjopen-2020-038704

Strech D, Synofzik M, Marckmann G. Systematic reviews of empirical bioethics. J Med Ethics. 2008;34(6):472-477. doi: 10.1136/jme.2007.021709 DOI: https://doi.org/10.1136/jme.2007.021709

Munn Z, Moola S, Lisy K, Riitano D, Tufanaru C. Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data. Int J Evid Based Healthc. 2015;13(3):147-153. doi: 10.1097/XEB.0000000000000054 DOI: https://doi.org/10.1097/XEB.0000000000000054

Booth A, Sutton A, Papaioannou D. Systematic approaches to a successful literature review. Sage; 2016 https://books.google.com/books?hl=es&lr=&id=JD1DCgAAQBAJ&oi=fnd&pg=PP1&dq=Systematic+Approaches+to+a+Successful+Literature+Review&ots=IZhMKShS7A&sig=fv4vWTF1Lt1_c6Y_S1QFhxsUkkc

Rethlefsen ML, Kirtley S, Waffenschmidt S, Ayala AP, Moher D, Page MJ, Koffel JB, PRISMA-S G. PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews. Syst Rev. 2021;10(1):39. doi: 10.5195/jmla.2021.962 DOI: https://doi.org/10.1186/s13643-020-01542-z

McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement. J Clin Epidemiol. 2016;75:40-46. doi: 10.1016/j.jclinepi.2016.01.021 DOI: https://doi.org/10.1016/j.jclinepi.2016.01.021

Feng Y, Luo W, Ma J, L T. A coagulation marker in patients with severe coronavirus disease 2019 (COVID-19): a meta-analysis. 2020 Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020179519

McKeown S, Mir ZM. Considerations for conducting systematic reviews: evaluating the performance of different methods for de-duplicating references. Syst Rev. 2021;10(1):38. doi: 10.1186/s13643-021-01583-y DOI: https://doi.org/10.1186/s13643-021-01583-y

Bozada T, Borden J, Workman J, Del Cid M, Malinowski J, Luechtefeld T. Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review. Front Artif Intell. 2021;4:685298. doi: 10.3389/frai.2021.685298 DOI: https://doi.org/10.3389/frai.2021.685298

Haddaway NR, Page MJ, Pritchard CC, McGuinness LA (2022) PRISMA2020: An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Systematic Reviews 18(2)http://dx.doi.org/10.1002/cl2.1230 DOI: https://doi.org/10.1002/cl2.1230

Papadopoulos VP, Koutroulos M-V, Zikoudi D-G, Bakola S-A, Avramidou P, Touzlatzi N, Filippou DK. Acute Metabolic Emergencies in Diabetes and COVID-19: a systematic review and meta-analysis of case reports. medRxiv. 2021 DOI:10.1101/2021.01.10.21249550 DOI: https://doi.org/10.1101/2021.01.10.21249550

Usher R, Stapleton T. Approaches for assessing decision-making capacity in older adults: a scoping review protocol. JBI Evidence Synthesis. 2020;18(4):832-840. doi: 10.11124/JBISRIR-D-19-00068 DOI: https://doi.org/10.11124/JBISRIR-D-19-00068

Barges-Coll J, Pérez-Neri I, Avendaño J, Mendez-Rosito D, Gomez-Amador JL, Ríos C. Plasma taurine as a predictor of poor outcome in patients with mild neurological deficits after aneurysmal subarachnoid hemorrhage. J Neurosurg. 2013;119(4):1021-1027. doi: 10.3171/2013.4.JNS121558 DOI: https://doi.org/10.3171/2013.4.JNS121558

Medeiros P, Bailey C, Andrews C, Liley H, Pollock D, Gordon A, Flenady V. Effectiveness of neonatal “near miss” audits in reducing perinatal morbidity and mortality. JBI Evidence Synthesis. 2022; 20(3):847-853. doi: 10.11124/JBIES-21-00069 DOI: https://doi.org/10.11124/JBIES-21-00069

Yammine K, Otayek J, Assi C. Evidence-based conservative limb preserving surgery for the diabetic foot complications: A systematic review of systematic reviews. Foot Ankle Surg. 2022; 28(6):670-679. doi: 10.1016/j.fas.2021.08.006 DOI: https://doi.org/10.1016/j.fas.2021.08.006

Verde PE. A bias‐corrected meta‐analysis model for combining, studies of different types and quality. Biometrical Journal. 2021;63(2):406-422. doi: 10.1002/bimj.201900376 DOI: https://doi.org/10.1002/bimj.201900376

Additional Files

Published

2023-02-02

How to Cite

Pérez-Neri, I., Diéguez-Campa, C. E., Tadger, P., Sandoval, H., Castillo-García, V. L., Singh, A. K., Carneiro da Costa, C. A., Chaurasia, B., Uy, E. J. B., & Ríos, C. (2023). Predictors of intrahospital mortality in patients with coronavirus disease 2019 and cerebrovascular diseases: rapid systematic review and meta-analysis protocol. Archivos De Neurociencias, 29(1). https://doi.org/10.31157/an.v29i1.441

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Section

Evidence synthesis

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