Frequency of neurological manifestations in COVID-19: a systematic review and meta-analysis of 350 studies

ObjectiveTo summarize the frequency of neurological manifestations reported in COVID-19 patients and investigate the association of these manifestations with disease severity and mortality. DesignSystematic review and meta-analysis Eligibility criteriaStudies enrolling consecutive COVID-19 patients (probable or confirmed) presenting with neurological manifestations. Data sourcesPubMed, Medline, Cochrane library, clinicaltrials.gov and EMBASE from 31st December 2019 to 15th December 2020. Data extraction and analysisTwo authors independently screened titles and abstracts retrieved by literature search. Risk of bias was examined using Joanna Briggs Institute (JBI) scale. A random-effects meta-analysis was performed, and pooled prevalence and 95% Confidence Intervals (CI) were calculated for neurological manifestations. Odds ratio (OR) and 95%CI were calculated to determine the association of neurological manifestations with disease severity and mortality. Presence of heterogeneity was assessed using I-square, meta-regression, and subgroup analyses. Statistical analyses were conducted in R version 3.6.2. ResultsOf 2,455 citations, 350 studies were included in this review, providing data on 145,634 COVID-19 patients, 89% of whom were hospitalized. Forty-one neurological manifestations (24 symptoms and 17 diagnoses) were identified. Pooled prevalence of the most common neurological symptoms included: fatigue (32%), myalgia (20%), taste impairment (21%), smell impairment (19%) and headache (13%). A low risk of bias was observed in 85% of studies; studies with higher risk of bias yielded higher prevalence estimates. Stroke was the most common neurological diagnosis (pooled prevalence-2%). In COVID-19 patients aged >60, the pooled prevalence of acute confusion/delirium was 34% and the presence of any neurological manifestations in this age group was associated with mortality (OR 1.80; 95%CI 1.11 to 2.91). ConclusionsUp to one-third of COVID-19 patients analysed in this review experienced at least one neurological manifestation. One in 50 patients experienced stroke. In those over 60, more than one-third had acute confusion/delirium; the presence of neurological manifestations in this group was associated with near doubling of mortality. Results must be interpreted keeping in view the limitations of observational studies and associated bias. Systematic review registrationPROSPERO CRD42020181867. What is already known on this topicThe frequency of neurological manifestations including fatigue, myalgia, taste and smell impairments, headache and dizziness in COVID-19 patients has been reported in a few systematic reviews and meta-analyses. However, considerable heterogeneity has been observed in terms of methodological quality of the studies, severity of the disease, mean age and hospitalization status of the patients. The evidence regarding the frequency of neurological diagnoses including stroke, encephalitis, Guillain Barre syndrome (GBS) is also limited to case reports and case series and no data exists thus far on the pooled prevalence estimates for neurological diagnoses in COVID-19 patients. What this study addsTo the best of the authors knowledge, this is the largest systematic review and meta-analysis to date (including 350 studies with data on 145,634 cases) summarizing the evidence on the frequency of the full spectrum of neurological manifestations in COVID-19 patients in the overall, young and elderly populations. For the first time, our review reports the pooled prevalence of stroke in COVID-19 patients. Risk of bias, old age and disease severity were potential determinants of the frequency and nature of neurological manifestations as well as its association with mortality. Our review also highlights the need to develop reporting standards for studies describing the frequency of clinical features. Moreover, we note that this will be the first systematic review and meta-analysis on this subject to include studies reported in all languages.

Connecting in COVID 19: Neurology tele-follow-up experience

IntroductionThe lockdown due to COVID-19 pandemic led to temporary closure of routine hospital services. This prompted the initiation of teleconsult follow-up in our department. The study outlines the experience of tele-follow-up at a tertiary care teaching hospital in India, and the perspective of neurologists about this novel approach. MethodsThe tele-follow-up was started from 26th March 2020. Data of follow up appointments was provided by the medical record section. The faculty and senior residents conducted the tele-follow-up. Communication was made via voice calls. The data for initial ten days was analyzed to find the utility and experience of the new service. ResultsIn the initial ten working days, data of 968 patients was provided for tele-follow-up. A successful communication was made in 50.3% patients (contact with patients: 27.7% and family members 22.6%). The phone numbers which were not contactable/invalid/not available constituted 36.8% of the data. A total of 35 faculty and residents conducted the tele-follow-up. The utility of tele-follow-up was perceived as good by 71.4% of neurologists. Majority of neurologists (71.4%) observed that >90% of patients were continuing medications. Patients outside the city constituted 50-75% of the list. The survey revealed that all neurologists felt the need to continue tele-follow-up for far off stable patients post lock down and resumption of regular outpatient services. ConclusionThe survey established the feasibility and utility of teleconsult for follow up of patients with neurological diseases who were attending the regular outpatient services before the lock down.

Prediction of Upper Limb Motor Recovery after Subacute Ischemic Stroke Using Diffusion Tensor Imaging: A Systematic Review and Meta-Analysis / 대한뇌졸중학회지

Early evaluation of the pyramidal tract using Diffusion Tensor Imaging (DTI) is a prerequisite to decide the optimal treatment or to assess appropriate rehabilitation. The early predictive value of DTI for assessing motor and functional recovery in ischemic stroke (IS) has yielded contradictory results. The purpose is to systematically review and summarize the current available literature on the value of Fractional Anisotropy (FA) parameter of the DTI in predicting upper limb motor recovery after sub-acute IS. MEDLINE, PubMed, EMBASE, Google Scholar and Cochrane CENTRAL searches were conducted from January 1, 1950, to July 31, 2015, which was supplemented with relevant articles identified in the references. Correlation between FA and upper limb motor recovery measure was done. Heterogeneity was examined using Higgins I-squared, Tau-squared. Summary of correlation coefficient was determined using Random Effects model. Out of 166 citations, only eleven studies met the criteria for inclusion in the systematic review and six studies were included in the meta-analysis. A random effects model revealed that DTI parameter FA is a significant predictor for upper limb motor recovery after sub-acute IS [Correlation Coefficient=0.82; 95% Confidence Interval-0.66 to 0.90, P value<0.001]. Moderate heterogeneity was observed (Tau-squared=0.12, I-squared=62.14). The studies reported so far on correlation between DTI and upper limb motor recovery are few with small sample sizes. This meta-analysis suggests strong correlation between DTI parameter FA and upper limb motor recovery. Well-designed prospective trials embedded with larger sample size are required to establish these findings.

Prediction of Upper Limb Motor Recovery after Subacute Ischemic Stroke Using Diffusion Tensor Imaging: A Systematic Review and Meta-Analysis / 대한뇌졸중학회지

Early evaluation of the pyramidal tract using Diffusion Tensor Imaging (DTI) is a prerequisite to decide the optimal treatment or to assess appropriate rehabilitation. The early predictive value of DTI for assessing motor and functional recovery in ischemic stroke (IS) has yielded contradictory results. The purpose is to systematically review and summarize the current available literature on the value of Fractional Anisotropy (FA) parameter of the DTI in predicting upper limb motor recovery after sub-acute IS. MEDLINE, PubMed, EMBASE, Google Scholar and Cochrane CENTRAL searches were conducted from January 1, 1950, to July 31, 2015, which was supplemented with relevant articles identified in the references. Correlation between FA and upper limb motor recovery measure was done. Heterogeneity was examined using Higgins I-squared, Tau-squared. Summary of correlation coefficient was determined using Random Effects model. Out of 166 citations, only eleven studies met the criteria for inclusion in the systematic review and six studies were included in the meta-analysis. A random effects model revealed that DTI parameter FA is a significant predictor for upper limb motor recovery after sub-acute IS [Correlation Coefficient=0.82; 95% Confidence Interval-0.66 to 0.90, P value<0.001]. Moderate heterogeneity was observed (Tau-squared=0.12, I-squared=62.14). The studies reported so far on correlation between DTI and upper limb motor recovery are few with small sample sizes. This meta-analysis suggests strong correlation between DTI parameter FA and upper limb motor recovery. Well-designed prospective trials embedded with larger sample size are required to establish these findings.

Seasonal Variations in Stroke: A Study in a Hospital in North India / 대한뇌졸중학회지

No abstract available.

Risk Factors and Etiologies of Ischemic Strokes in Young Patients: A Tertiary Hospital Study in North India / 대한뇌졸중학회지

BACKGROUND AND PURPOSE: Stroke in young adults has a special significance in developing countries, as it affects the most economically productive group of the society. We identified the risk factors and etiologies of young patients who suffered ischemic strokes and were admitted to a tertiary referral hospital in North India. METHODS: A retrospective review of case records from patients with ischemic stroke in the age range of 18-45 years was conducted from 2005 to 2010. Data regarding patients' clinical profiles, medical histories, diagnostic test results, and modified Rankin Scale scores at hospital discharge were examined. Stroke subtyping was conducted in accordance with the Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria. RESULTS: Of the 2,634 patients admitted for ischemic stroke, 440 (16.7%) were in the 18-45 year age range and the majority (83.4%) were male. The most common risk factors were hypertension (34.4%) and dyslipidemia (26.5%). The most common subtype of stroke was undetermined (57%), followed by other determined causes (17.3%). Among the category of undetermined etiology, incomplete evaluation was the most common. Most of the patients demonstrated good functional outcomes. CONCLUSIONS: Young adults account for 16.7% of all stroke patients in North India. Risk factors are relatively prevalent, and a high proportion of the patients are categorized under undetermined and other determined causes. The results highlight the needs for aggressive management of traditional risk factors and extensive patient work-ups to identify stroke etiology in India.

Prediction of stroke outcome in relation to Alberta Stroke Program Early CT Score (ASPECTS) atadmission in acute ischemic stroke: A prospective study from tertiary care hospital in north India

Objective: To evaluate correlation of Alberta Stroke Program Early CT Score (ASPECTS) and early and delay outcome measures among acute anterior ischemic stroke patients who presented within 48 hours of stroke onset. Methods: In a prospective cohort study, we recruited consecutive patients with acute middle cerebral artery (MCA) ischemic stroke who presented within 48 hours of stroke onset. All the patients were evaluated at admission (Glasgow Coma Scale - GCS and National Institute of Health Stroke Scale - NIHSS) at discharge (GCS, NIHSS, Barthel Index - BI and modifi ed Rankin Scale - mRS) and at 3 months (BI and mRS). CT ASPECTS was calculated by two observers independently. We divided patients in to two groups with ‘Better’ and ‘Worse’ ASPECTS with score of 8-10 and 0-7 respectively and compared the primary and secondary stroke outcome measures. Results: Among 100 patients with acute MCA infarction (median age 55 yrs, 62 males), median ASPECTS scores had inter-rater reliability of 0.82. The mortality, GCS and NIHSS at discharge, and mRS and BI at 3 months are signifi cantly better among patients with ‘Better’ compared to ‘Worse’ APSECTS. The hospital stay was shorter in patients with Better ASPCTS. Conclusion: In the setting of acute ischemic stroke, ASPECTS has good correlation with severity of stroke, and is strong predictor of early and delayed outcome in acute ischemic stroke.