Background The spectrum of neurological involvement in COVID-19 is not thoroughly understood. To the best of our knowledge, no systematic review with meta-analysis and a sub-group comparison between severe and non-severe cases has been published. The aim of this study is to assess the frequency of neurological manifestations and complications, identify the neurodiagnostic findings, and compare these aspects between severe and non-severe COVID-19 cases. Methods A systematic search of PubMed, Scopus, EBSCO, Web of Science, and Google Scholar databases was conducted for studies published between the 1st of January 2020 and 22nd of April 2020. In addition, we scanned the bibliography of included studies to identify other potentially eligible studies. The criteria for eligibility included studies published in English language (or translated to English), those involving patients with COVID-19 of all age groups, and reporting neurological findings. Data were extracted from eligible studies. Meta-analyses were conducted using comprehensive meta-analysis software. Random-effects model was used to calculate the pooled percentages and means with their 95% confidence intervals (CIs). Sensitivity analysis was performed to assess the effect of individual studies on the summary estimate. A subgroup analysis was conducted according to severity. The main outcomes of the study were to identify the frequency and nature of neurological manifestations and complications, and the neuro-diagnostic findings in COVID-19 patients. Results 44 articles were included with a pooled sample size of 13,480 patients. The mean age was 50.3 years and 53% were males. The most common neurological manifestations were: Myalgia (22.2, 95% CI, 17.2 to 28.1%), taste impairment (19.6, 95% CI, 3.8 to 60.1%), smell impairment (18.3, 95% CI, 15.4 to 76.2%), headache (12.1, 95% CI, 9.1 to 15.8%), dizziness (11.3, 95% CI, 8.5 to 15.0%), and encephalopathy (9.4, 95% CI, 2.8 to 26.6%). Nearly 2.5% (95% CI, 1 to 6.1%) of patients had acute cerebrovascular diseases (CVD). Myalgia, elevated CK and LDH, and acute CVD were significantly more common in severe cases. Moreover, 20 case reports were assessed qualitatively, and their data presented separately. Conclusions Neurological involvement is common in COVID-19 patients. Early recognition and vigilance of such involvement might impact their overall outcomes.

Abstract Background: The spectrum of neurological involvement in COVID-19 is not thoroughly understood. To the best of our knowledge, no systematic review with meta-analysis and a sub-group comparison between severe and non-severe cases has been published. The aim of this study is to assess the frequency of neurological manifestations and complications, identify the neurodiagnostic findings, and compare these aspects between severe and non-severe COVID-19 cases.Methods: A systematic search of PubMed, Scopus, EBSCO, Web of Science, and Google Scholar databases was conducted for studies published between the 1st of January 2020 and 22nd of April 2020. In addition, we scanned the bibliography of included studies to identify other potentially eligible studies. The criteria for eligibility included studies published in English language (or translated to English), those involving patients with COVID-19 of all age groups, and reporting neurological findings. Data were extracted from eligible studies. Meta-analyses were conducted using comprehensive meta-analysis software. Random-effects model was used to calculate the pooled percentages and means with their 95% confidence intervals (CIs). Sensitivity analysis was performed to assess the effect of individual studies on the summary estimate. A subgroup analysis was conducted according to severity. The main outcomes of the study were to identify the frequency and nature of neurological manifestations and complications, and the neuro-diagnostic findings in COVID-19 patients.Results: 44 articles were included with a pooled sample size of 13480 patients. The mean age was 50.3 years and 53% were males. The most common neurological manifestations were: Myalgia (22.2%, 95% CI, 17.2% to 28.1%), taste impairment (19.6%, 95% CI, 3.8% to 60.1%), smell impairment (18.3%, 95% CI, 15.4% to 76.2%), headache (12.1%, 95% CI, 9.1% to 15.8%), dizziness (11.3%, 95% CI, 8.5% to 15.0%), and encephalopathy (9.4%, 95% CI, 2.8% to 26.6%). Nearly 2.5% (95% CI, 1% to 6.1%) of patients had acute cerebrovascular diseases (CVD). Myalgia, elevated CK and LDH, and acute CVD were significantly more common in severe cases. Moreover, 20 case reports were assessed qualitatively, and their data presented separately.Conclusions: Neurological involvement is common in COVID-19 patients. Early recognition and vigilance of such involvement might impact their overall outcomes.

Background Acute ischemic stroke (Stroke) and transient ischemic attacks (TIA) are known complications in cancer patients and those with atrial fibrillation (AF). The role AF plays in Stroke/TIA in the setting of cancer is unclear. The purpose of this study was to assess the relationship between AF and Stroke/TIA in cancer patients. Methods We conducted a case-control study comparing all patients who developed Stroke/TIA from 2014 to 2019 following a cancer diagnosis at King Hussein Cancer Center (KHCC), matched to Stroke/TIA-free controls based on age, gender, and cancer site. Results Two hundred seventy-two patients were included (136 per group). The mean age was 63.95 ± 13.06 and 57% were females. The Stroke/TIA group had more AF at the time of event (14% vs. 4%, OR: 4.25, 95%-CI: 1.39 - 17.36) and had a larger proportion of death on study conclusion (OR: 9.4, 95%-CI: 3.74 - 23.64). On conditional logistic regression, patients in the Stroke/TIA group had higher odds of: AF (OR: 7.93, 95%-CI: 1.6 – 39.18), ischemic stroke before cancer diagnosis (OR: 9.18, 95%-CI: 2.66 – 31.74), being on active cancer treatment (OR: 3.11, 95%-CI: 1.46 – 6.62), dyslipidemia (OR: 3.78, 95%-CI: 1.32 – 10.82), and renal disease (OR: 4.25, 95%-CI: 1.55 – 11.63). On another conditional logistic regression model built to assess the role of the CHA2DS2-VASc score, a score of >=2 in males and >=3 in females significantly increased the risk of developing Stroke/TIA in cancer patients (OR: 2.45, 95%-CI: 1.08 - 5.58). Conclusion AF, previous ischemic stroke, active cancer treatment, dyslipidemia, and renal disease are independent risk factors for Stroke/TIA and a higher CHA2DS2-VASc score significantly increases the risk in cancer patients regardless of AF.

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