Acute ischemic stroke outcomes in patients with COVID-19: a systematic review and meta-analysis

Ferrone, Sophia R; Sanmartin, Maria X; O'Hara, Joseph; Jimenez, J.M. Martin; Feizullayeva, Chinara; Lodato, Zachary; Shahsavarani, Shaya; G, Lacher; Demissie, Seleshi; Vialet, Jaclyn; White, Timothy G; Wang, Jason J; Katz, Jeffrey M.; Sanelli, Pina C.

doi:10.1136/jnis-2023-020489

Cited by 8 publications

(2 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been reported that COVID-19-positive stroke patients have worse outcomes, higher mortality and more frequent use of mechanical ventilation compared to stroke patients without COVID-19. [23][24] In our study, it was seen that mortality and mechanical ventilation use were more frequent in COVID-19-positive stroke patients compared to COVID-19-negative stroke patients. The high mortality rate in COVID-19positive stroke patients is consistent with the high mortality rate in COVID-19-positive stroke patients previously reported in the literature.…”

Section: Discussionmentioning

confidence: 57%

Clinical comparison of acute stroke cases with and without COVID-19

Barut,

Haki,

Barut

2024

Turkish Journal of Internal Medicine

View full text Add to dashboard Cite

Background We aimed to assess acute stroke cases with and without coronavirus disease 2019 (COVID-19) positivity concerning clinical features and the number of hospitalizations acute stroke cases compared to the previous year. Methods Acute stroke patients with and without COVID-19 positivity, including those who were hospitalized in the neurology service and intensive care unit of tertiary healthcare center between 17 December 2020 and 31 January 2021 due to acute stroke, were included in this cross-sectional study. Results Mortality (p=0.042) and mechanical ventilation use (p=0.041) were more frequent in COVID-19-positive stroke patients compared to those without COVID-19. The most common type of stroke in COVID-19-positive acute stroke patients was ischemic stroke (69.23%). Additionally, stroke patients with COVID-19 had a significantly higher percentage of kidney disease compared to those without COVID-19 (p=0.009). We also observed that the number of acute stroke cases hospitalized in our hospital during the pandemic decreased significantly compared to the previous year (p=0.036). Conclusion Since the majority of our patients were diagnosed with COVID-19 after admission to the hospital due to stroke, it should be kept in mind that patients who apply to the hospital with stroke symptoms may also have COVID-19, even if they are asymptomatic.

show abstract

Section: Discussionmentioning

confidence: 57%

Clinical comparison of acute stroke cases with and without COVID-19

Barut,

Haki,

Barut

2024

Turkish Journal of Internal Medicine

View full text Add to dashboard Cite

show abstract

“…In addition, in ref. [32], Ferrone et al following the preferred reporting items for systematic review and metaanalyses (PRISMA) recommendations, conducted a systematic review and meta-analysis.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Side Effects: A Mathematical Modeling of COVID-19 and Stroke with Real Data

Özköse

2023

Fractal Fract

View full text Add to dashboard Cite

The post-effects of COVID-19 have begun to emerge in the long term in society. Stroke has become one of the most common side effects in the post-COVID community. In this study, to examine the relationship between COVID-19 and stroke, a fractional-order mathematical model has been constructed by considering the fear effect of being infected. The model’s positivity and boundedness have been proved, and stability has been examined for disease-free and co-existing equilibrium points to demonstrate the biological meaningfulness of the model. Subsequently, the basic reproduction number (the virus transmission potential (R0)) has been calculated. Next, the sensitivity analysis of the parameters according to R0 has been considered. Moreover, the values of the model parameters have been calculated using the parameter estimation method with real data originating from the United Kingdom. Furthermore, to underscore the benefits of fractional-order differential equations (FODEs), analyses demonstrating their relevance in memory trace and hereditary characteristics have been provided. Finally, numerical simulations have been highlighted to validate our theoretical findings and explore the system’s dynamic behavior. From the findings, we have seen that if the screening rate in the population is increased, more cases can be detected, and stroke development can be prevented. We also have concluded that if the fear in the population is removed, the infection will spread further, and the number of people suffering from a stroke may increase.

show abstract

Risk of Severe Outcomes From COVID-19 in Comorbid Populations in the Omicron Era: A Meta-analysis

Chapman,

Barouch,

Lip

et al. 2024

Preprint

View full text Add to dashboard Cite

Importance: This is the first meta-analysis to investigate risk of death and hospitalization in individuals with comorbidities, specifically during the Omicron era. Objective: To assess the risk of mortality and hospitalization from COVID-19 in individuals with comorbidities in comparison with individuals without comorbidities during the Omicron era. Data Sources: A systematic search of Embase, MEDLINE, PubMed, Europe PMC, Latin American and Caribbean Health Sciences Literature, Cochrane COVID-19 Study Register, and WHO COVID-19 Database was performed to identify studies published between 1 January 2022 and 13 March 2024. Study Selection: Inclusion criteria were observational studies including people (all ages) with at least 1 of the following comorbidities: cardiovascular/ cerebrovascular disease, chronic lung conditions, diabetes, and obesity. In total, 72 studies were included in the review, of which 68 were meta-analyzed. Data Extraction and Synthesis: Data were extracted by one reviewer and verified by a second. Studies were synthesized quantitively (meta-analysis) using random-effect models. PRISMA guidelines were followed. Main Outcomes and Measures: Evaluated outcomes were the risks of death, hospitalization, intensive care unit (ICU) admission, and any combination of these outcomes. Odds ratios, hazard ratios, and rate ratios were extracted; pooled relative risk (RR) and 95% confidence intervals (CI) were calculated. Results: Minimum numbers of participants per comorbidity across included studies ranged from 328 870 for thrombosis to 13 720 480 for hypertension. Risks of death, hospitalization, and the combined outcome were increased in individuals with cerebrovascular disease, COPD, diabetes, respiratory diseases, heart disease, and heart failure versus those without (pooled RRs ranged from 1.27 [heart disease, hospitalization; 95% CI, 1.17-1.38, P < .001] to 1.78 [heart failure, death: 95% CI, 1.46-2.16, P < .001]). Individuals with diabetes and obesity had increased risk of ICU admission (RR: 1.20; 95% CI: 1.04-1.38, P = .0141 and RR: 1.32; 95% CI: 1.11-1.57, P = .00158, respectively). Conclusions: During the Omicron era, risk of death and hospitalization from COVID-19 is increased amongst individuals with comorbidities including cerebrovascular/cardiovascular conditions, chronic lung diseases, and diabetes, with the highest risk in those with heart failure. Individuals with diabetes and obesity are at increased risk of ICU admission.

show abstract

Acute ischemic stroke outcomes in patients with COVID-19: a systematic review and meta-analysis

Cited by 8 publications

References 77 publications

Clinical comparison of acute stroke cases with and without COVID-19

Clinical comparison of acute stroke cases with and without COVID-19

Long-Term Side Effects: A Mathematical Modeling of COVID-19 and Stroke with Real Data

Risk of Severe Outcomes From COVID-19 in Comorbid Populations in the Omicron Era: A Meta-analysis

Contact Info

Product

Resources

About