Awake pronation with helmet CPAP in early COVID-19 ARDS patients: effects on respiratory effort and distribution of ventilation assessed by EIT.

Prone positioning with continuous positive airway pressure (CPAP) is widely used for respiratory support in awake patients with COVID-19-associated acute respiratory failure. We aimed to assess the respiratory mechanics and distribution of ventilation in COVID-19-associated ARDS treated by CPAP in awake prone position. We studied 16 awake COVID-19 patients with moderate-to-severe ARDS. The study protocol consisted of a randomized sequence of supine and prone position with imposed positive end-expiratory pressure (PEEP) of 5 and 10 cmH2O delivered by helmet CPAP. Respiratory mechanics and distribution of ventilation were assessed through esophageal pressure (PES) and electrical impedance tomography (EIT). At the end of each 20-min phase, arterial blood gas analysis was performed, and PES swing and EIT tracings were recorded for the calculation of the respiratory mechanics and regional ventilation. The patient's position had no significant effects on respiratory mechanics. EIT analysis did not detect differences among global indices of ventilation. A significant proportion of pixels in the sternal region of interest showed an increase in compliance from the supine to prone position and PaO2/FIO2 increased accordingly. The best improvement of both PaO2/FIO2 and sternal compliance was obtained in the prone position with PEEP 10 cmH2O. In the studied subjects, prone positioning during CPAP treatment raised oxygenation without improvement of "protective" ventilation or global ventilatory inhomogeneity indices. Prone positioning with higher PEEP significantly increased the compliance of sternal regions.

Neurological disorders throughout acute SARS-CoV2 infection: A comparative study between vaccinated and non-vaccinated patients.

BACKGROUND: The role of vaccination on Covid-19 severity in neurological patients is still unknown. We aim at describing clinical characteristics and outcomes of breakthrough and unvaccinated Covid-19 patients hospitalized for neurological disorders. METHODS: Two hundred thirty-two Covid-19 patients were admitted to a neuro-Covid Unit form March 1st 2021 to February 28th 2022. Out of the total sample, 74 (32%) were full vaccinated. The prevalence, clinical characteristics, disease severity, expressed by Brescia-COVID Respiratory Severity Scale (BCRSS) and National Early Warning Score 2 (NEWS2), and final outcomes of neurological syndromes were compared between vaccinated and unvaccinated cases. Cox regression analysis was implemented in order to investigate the combined effect of predictors of mortality. RESULTS: Breakthrough vaccinated cases were older (years 72.4 ± 16.3 vs 67.0 ± 18.9 years, p = 0.029), showed higher pre-admission comorbidity score and Clinical Frailty scale score (4.46 ± 1.6 vs 3.75 ± 2.0, p = 0.008) with no differences in terms of disease progression or mortality rate (16.2% vs 15.2%), compared to full-dose vaccinated patients. Cox-regression analysis showed age and NEWS2 score as the variables with a significant relation to mortality between the two groups, independently from pre-morbid conditions and inflammatory response. CONCLUSION: This study on breakthrough COVID-19 infection could help identify vulnerable neurological patients with higher risk of poor outcomes.

CADMUS: A Novel MRI-Based Classification of Spontaneous Intracerebral Hemorrhage Associated With Cerebral Small Vessel Disease

BACKGROUND AND OBJECTIVES: Cerebral small vessel disease (SVD) is the major cause of intracerebral hemorrhage (ICH). There is no comprehensive, easily applicable classification of ICH subtypes according to the presumed underlying SVD using MRI. We developed an MRI-based classification for SVD-related ICH. METHODS: We performed a retrospective study in the prospectively collected Swiss Stroke Registry (SSR, 2013-2019) and the Stroke InvestiGation in North And central London (SIGNAL) cohort. Patients with nontraumatic, SVD-related ICH and available MRI within 3 months were classified as Cerebral Amyloid angiopathy (CAA), Deep perforator arteriopathy (DPA), Mixed CAA-DPA, or Undetermined SVD using hemorrhagic and nonhemorrhagic MRI markers (CADMUS classification). The primary outcome was inter-rater reliability using Gwet's AC1. Secondary outcomes were recurrent ICH/ischemic stroke at 3 months according to the CADMUS phenotype. We performed Firth penalized logistic regressions and competing risk analyses. RESULTS: The SSR cohort included 1,180 patients (median age [interquartile range] 73 [62-80] years, baseline NIH Stroke Scale 6 [2-12], 45.6% lobar hematoma, systolic blood pressure on admission 166 [145-185] mm Hg). The CADMUS phenotypes were as follows: mixed CAA-DPA (n = 751 patients, 63.6%), undetermined SVD (n = 203, 17.2%), CAA (n = 154, 13.1%), and DPA (n = 72, 6.3%), with a similar distribution in the SIGNAL cohort (n = 313). Inter-rater reliability was good (Gwet's AC1 for SSR/SIGNAL 0.69/0.74). During follow-up, 56 patients had 57 events (28 ICH, 29 ischemic strokes). Three-month event rates were comparable between the CADMUS phenotypes. DISCUSSION: CADMUS, a novel MRI-based classification for SVD-associated ICH, is feasible and reproducible and may improve the classification of ICH subtypes in clinical practice and research.

BQsupports: systematic assessment of the support and novelty of new biomedical associations.

MOTIVATION: Living a Big Data era in Biomedicine, there is an unmet need to systematically assess experimental observations in the context of available information. This assessment would offer a means for a comprehensive and robust validation of biomedical data results and provide an initial estimate of the potential novelty of the findings. RESULTS: Here we present BQsupports, a web-based tool built upon the Bioteque biomedical descriptors that systematically analyzes and quantifies the current support to a given set of observations. The tool relies on over 1000 distinct types of biomedical descriptors, covering over 11 different biological and chemical entities, including genes, cell lines, diseases, and small molecules. By exploring hundreds of descriptors, BQsupports provide support scores for each observation across a wide variety of biomedical contexts. These scores are then aggregated to summarize the biomedical support of the assessed dataset as a whole. Finally, the BQsupports also suggests predictive features of the given dataset, which can be exploited in downstream machine learning applications. AVAILABILITY AND IMPLEMENTATION: The web application and underlying data are available online (https://bqsupports.irbbarcelona.org).

Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque.

Biomedical data is accumulating at a fast pace and integrating it into a unified framework is a major challenge, so that multiple views of a given biological event can be considered simultaneously. Here we present the Bioteque, a resource of unprecedented size and scope that contains pre-calculated biomedical descriptors derived from a gigantic knowledge graph, displaying more than 450 thousand biological entities and 30 million relationships between them. The Bioteque integrates, harmonizes, and formats data collected from over 150 data sources, including 12 biological entities (e.g., genes, diseases, drugs) linked by 67 types of associations (e.g., 'drug treats disease', 'gene interacts with gene'). We show how Bioteque descriptors facilitate the assessment of high-throughput protein-protein interactome data, the prediction of drug response and new repurposing opportunities, and demonstrate that they can be used off-the-shelf in downstream machine learning tasks without loss of performance with respect to using original data. The Bioteque thus offers a thoroughly processed, tractable, and highly optimized assembly of the biomedical knowledge available in the public domain.

Antithrombotic therapy in the postacute phase of cervical artery dissection: the Italian Project on Stroke in Young Adults Cervical Artery Dissection.

OBJECTIVE: To explore the impact of antithrombotic therapy discontinuation in the postacute phase of cervical artery dissection (CeAD) on the mid-term outcome of these patients. METHODS: In a cohort of consecutive patients with first-ever CeAD, enrolled in the setting of the multicentre Italian Project on Stroke in Young Adults Cervical Artery Dissection, we compared postacute (beyond 6 months since the index CeAD) outcomes between patients who discontinued antithrombotic therapy and patients who continued taking antithrombotic agents during follow-up. Primary outcome was a composite of ischaemic stroke and transient ischaemic attack. Secondary outcomes were (1) Brain ischaemia ipsilateral to the dissected vessel and (2) Recurrent CeAD. Associations with the outcome of interest were assessed by the propensity score (PS) method. RESULTS: Of the 1390 patients whose data were available for the outcome analysis (median follow-up time in patients who did not experience outcome events, 36.0 months (25th-75th percentile, 62.0)), 201 (14.4%) discontinued antithrombotic treatment. Primary outcome occurred in 48 patients in the postacute phase of CeAD. In PS-matched samples (201 vs 201), the incidence of primary outcomes among patients taking antithrombotics was comparable with that among patients who discontinued antithrombotics during follow-up (5.0% vs 4.5%; p(log rank test)=0.526), and so was the incidence of the secondary outcomes ipsilateral brain ischaemia (4.5% vs 2.5%; p(log rank test)=0.132) and recurrent CeAD (1.0% vs 1.5%; p(log rank test)=0.798). CONCLUSIONS: Discontinuation of antithrombotic therapy in the postacute phase of CeAD does not appear to increase the risk of brain ischaemia during follow-up.

Insights into the identification of a molecular signature for amyotrophic lateral sclerosis exploiting integrated microRNA profiling of iPSC-derived motor neurons and exosomes.

Amyotrophic lateral sclerosis (ALS) is a rare neurodegenerative disorder characterized by progressive degeneration of motor neurons (MNs). Most cases are sporadic, whereas 10% are familial. The pathological mechanisms underlying the disease are partially understood, but it is increasingly being recognized that alterations in RNA metabolism and deregulation of microRNA (miRNA) expression occur in ALS. In this study, we performed miRNA expression profile analysis of iPSC-derived MNs and related exosomes from familial patients and healthy subjects. We identified dysregulation of miR-34a, miR-335 and miR-625-3p expression in both MNs and exosomes. These miRNAs regulate genes and pathways which correlate with disease pathogenesis, suggesting that studying miRNAs deregulation can contribute to deeply investigate the molecular mechanisms underlying the disease. We also assayed the expression profile of these miRNAs in the cerebrospinal fluid (CSF) of familial (fALS) and sporadic patients (sALS) and we identified a significant dysregulation of miR-34a-3p and miR-625-3p levels in ALS compared to controls. Taken together, all these findings suggest that miRNA analysis simultaneously performed in different human biological samples could represent a promising molecular tool to understand the etiopathogenesis of ALS and to develop new potential miRNA-based strategies in this new propitious therapeutic era.

Clinical outcome of neurological patients with COVID-19: the impact of healthcare organization improvement between waves.

OBJECTIVE: The aim of this study is to evaluate the differences in clinical presentations and the impact of healthcare organization on outcomes of neurological COVID-19 patients admitted during the first and second pandemic waves. METHODS: In this single-center cohort study, we included all patients with SARS-CoV-2 infection admitted to a Neuro-COVID Unit. Demographic, clinical, and laboratory data were compared between patients admitted during the first and second waves of the COVID-19 pandemic. RESULTS: Two hundred twenty-three patients were included, of whom 112 and 111 were hospitalized during the first and second pandemic waves, respectively. Patients admitted during the second wave were younger and exhibited pulmonary COVID-19 severity, resulting in less oxygen support (n = 41, 36.9% vs n = 79, 70.5%, p < 0.001) and lower mortality rates (14.4% vs 31.3%, p = 0.004). The different healthcare strategies and early steroid treatment emerged as significant predictors of mortality independently from age, pre-morbid conditions and COVID-19 severity in Cox regression analyses. CONCLUSIONS: Differences in healthcare strategies during the second phase of the COVID-19 pandemic probably explain the differences in clinical outcomes independently of disease severity, underlying the importance of standardized early management of neurological patients with SARS-CoV-2 infection.

Spontaneous cervical artery dissection and fibromuscular dysplasia: Epidemiologic and biologic evidence of a mutual relationship.

Cervical artery dissection (CeAD) is the most common cause of ischemic stroke in young and middle-aged adults. Over the last decade, a relation between CeAD and fibromuscular dysplasia (FMD), an idiopathic, segmental, non-atherosclerotic and non-inflammatory arterial disease, has been suggested based on a number of epidemiologic observations, while preliminary data support the idea that the two conditions may share common biologic mechanisms. In this article, we review the literature on the relation between CeAD and FMD, focus on the potential pathogenetic mechanisms common to the two conditions, summarize clinical features, management and outcome, and provide support to the hypothesis that the coexistence of the two diseases in one individual might be conceptualized as a distinct non-atherosclerotic non-inflammatory arteriopathy.

SARS-CoV-2 infection and acute ischemic stroke in Lombardy, Italy.

OBJECTIVE: To characterize patients with acute ischemic stroke related to SARS-CoV-2 infection and assess the classification performance of clinical and laboratory parameters in predicting in-hospital outcome of these patients. METHODS: In the setting of the STROKOVID study including patients with acute ischemic stroke consecutively admitted to the ten hub hospitals in Lombardy, Italy, between March 8 and April 30, 2020, we compared clinical features of patients with confirmed infection and non-infected patients by logistic regression models and survival analysis. Then, we trained and tested a random forest (RF) binary classifier for the prediction of in-hospital death among patients with COVID-19. RESULTS: Among 1013 patients, 160 (15.8%) had SARS-CoV-2 infection. Male sex (OR 1.53; 95% CI 1.06-2.27) and atrial fibrillation (OR 1.60; 95% CI 1.05-2.43) were independently associated with COVID-19 status. Patients with COVID-19 had increased stroke severity at admission [median NIHSS score, 9 (25th to75th percentile, 13) vs 6 (25th to75th percentile, 9)] and increased risk of in-hospital death (38.1% deaths vs 7.2%; HR 3.30; 95% CI 2.17-5.02). The RF model based on six clinical and laboratory parameters exhibited high cross-validated classification accuracy (0.86) and precision (0.87), good recall (0.72) and F1-score (0.79) in predicting in-hospital death. CONCLUSIONS: Ischemic strokes in COVID-19 patients have distinctive risk factor profile and etiology, increased clinical severity and higher in-hospital mortality rate compared to non-COVID-19 patients. A simple model based on clinical and routine laboratory parameters may be useful in identifying ischemic stroke patients with SARS-CoV-2 infection who are unlikely to survive the acute phase.

Subclinical Vascular Brain Lesions in Young Adults With Acute Ischemic Stroke.

BACKGROUND: Subclinical vascular brain lesions are highly prevalent in elderly patients with stroke. Little is known about predisposing factors and their impact on long-term outcome of patients with stroke at a young age. METHODS: We quantified magnetic resonance-defined subclinical vascular brain lesions, including lacunes and white matter hyperintensities, perivascular spaces and cerebral microbleeds, and assessed total small-vessel disease (SVD) score in patients with first-ever acute ischemic stroke aged 18 to 45 years, and followed them up, as part of the multicentre Italian Project on Stroke in Young Adults. The primary end point was a composite of ischemic stroke, transient ischemic attack, myocardial infarction, or other arterial events. We assessed the predictive accuracy of magnetic resonance features and whether the addition of these markers improves outcome prediction over a validated clinical tool, such as the Italian Project on Stroke in Young Adults score. RESULTS: Among 591 patients (males, 53.8%; mean age, 37.5±6.4 years), 117 (19.8%) had subclinical vascular brain lesions. Family history of stroke was associated with lacunes (odds ratio, 2.24 [95% CI, 1.30-3.84]) and total SVD score (odds ratio, 2.06 [95% CI, 1.20-3.53] for score≥1), hypertension with white matter hyperintensities (odds ratio, 2.29 [95% CI, 1.22-4.32]). After a median follow-up of 36.0 months (25th-75th percentile, 38.0), lacunes and total SVD score were associated with primary end point (hazard ratio, 2.13 [95% CI, 1.17-3.90] for lacunes; hazard ratio, 2.17 [95% CI, 1.20-3.90] for total SVD score ≥1), and the secondary end point brain ischemia (hazard ratio, 2.55 [95% CI, 1.36-4.75] for lacunes; hazard ratio, 2.61 [95% CI, 1.42-4.80] for total SVD score ≥1). The predictive performances of the models, including magnetic resonance features were comparable to those of the random model. Adding individual magnetic resonance features to the Italian Project on Stroke in Young Adults score did not improve model prediction. CONCLUSIONS: Subclinical vascular brain lesions affect ≈2 in 10 young adults with ischemic stroke. Although lacunes and total SVD score are associated with thrombotic recurrence, they do not improve accuracy of outcome prediction over validated clinical predictors.

Age-dependent effect of susceptibility factors on the risk of intracerebral haemorrhage: Multicenter Study on Cerebral Hemorrhage in Italy (MUCH-Italy).

OBJECTIVE: To investigate the age-dependent impact of traditional stroke risk factors on the occurrence of intracerebral haemorrhage (ICH). METHODS: We performed a case-control analysis, comparing consecutive patients with ICH with age-matched and sex-matched stroke-free controls, enrolled in the setting of the Multicenter Study on Cerebral Hemorrhage in Italy (MUCH-Italy) between 2002 and 2014 by multivariable logistic regression model within subgroups stratified by age quartiles (Q1-Q4). RESULTS: We analysed 3492 patients and 3492 controls. The impact of untreated hypertension on the risk of ICH was higher in the lower than in the upper age quartile (OR 11.64, 95% CI 7.68 to 17.63 in Q1 vs OR 6.05, 95% CI 3.09 to 11.85 in Q4 with intermediate ORs in Q2 and Q3), while the opposite trend was observed for untreated hypercholesterolaemia (OR 0.63, 95% CI 0.45 to 0.97 in Q1 vs OR 0.36, 95% CI 0.26 to 0.56 in Q4 with intermediate ORs in Q2 and Q3). The effect of untreated diabetes and excessive alcohol intake was detected only in the older age group (OR 3.63, 95% CI 1.22 to 10.73, and OR 1.69, 95% CI 1.13 to 2.51, respectively). CONCLUSIONS: Our findings provide evidence of age-dependent differences in the effects of susceptibility factors on the risk of ICH.

Impact of SARS-CoV-2 on reperfusion therapies for acute ischemic stroke in Lombardy, Italy: the STROKOVID network.

Whether and how SARS-CoV-2 outbreak affected in-hospital acute stroke care system is still matter of debate. In the setting of the STROKOVID network, a collaborative project between the ten centers designed as hubs for the treatment of acute stroke during SARS-CoV-2 outbreak in Lombardy, Italy, we retrospectively compared clinical features and process measures of patients with confirmed infection (COVID-19) and non-infected patients (non-COVID-19) who underwent reperfusion therapies for acute ischemic stroke. Between March 8 and April 30, 2020, 296 consecutive patients [median age, 74 years (interquartile range (IQR), 62-80.75); males, 154 (52.0%); 34 (11.5%) COVID-19] qualified for the analysis. Time from symptoms onset to treatment was longer in the COVID-19 group [230 (IQR 200.5-270) minutes vs. 190 (IQR 150-245) minutes; p = 0.007], especially in the first half of the study period. Patients with COVID-19 who underwent endovascular thrombectomy had more frequently absent collaterals or collaterals filling ≤ 50% of the occluded territory (50.0% vs. 16.6%; OR 5.05; 95% CI 1.82-13.80) and a lower rate of good/complete recanalization of the primary arterial occlusive lesion (55.6% vs. 81.0%; OR 0.29; 95% CI 0.10-0.80). Post-procedural intracranial hemorrhages were more frequent (35.3% vs. 19.5%; OR 2.24; 95% CI 1.04-4.83) and outcome was worse among COVID-19 patients (in-hospital death, 38.2% vs. 8.8%; OR 6.43; 95% CI 2.85-14.50). Our findings showed longer delays in the intra-hospital management of acute ischemic stroke in COVID-19 patients, especially in the early phase of the outbreak, that likely impacted patients outcome and should be the target of future interventions.

Clinical Features of Patients With Cervical Artery Dissection and Fibromuscular Dysplasia.

BACKGROUND AND PURPOSE: Observational studies have suggested a link between fibromuscular dysplasia and spontaneous cervical artery dissection (sCeAD). However, whether patients with coexistence of the two conditions have distinctive clinical characteristics has not been extensively investigated. METHODS: In a cohort of consecutive patients with first-ever sCeAD, enrolled in the setting of the multicenter IPSYS CeAD study (Italian Project on Stroke in Young Adults Cervical Artery Dissection) between January 2000 and June 2019, we compared demographic and clinical characteristics, risk factor profile, vascular pathology, and midterm outcome of patients with coexistent cerebrovascular fibromuscular dysplasia (cFMD; cFMD+) with those of patients without cFMD (cFMD-). RESULTS: A total of 1283 sCeAD patients (mean age, 47.8±11.4 years; women, 545 [42.5%]) qualified for the analysis, of whom 103 (8.0%) were diagnosed with cFMD+. In multivariable analysis, history of migraine (odds ratio, 1.78 [95% CI, 1.13-2.79]), the presence of intracranial aneurysms (odds ratio, 8.71 [95% CI, 4.06-18.68]), and the occurrence of minor traumas before the event (odds ratio, 0.48 [95% CI, 0.26-0.89]) were associated with cFMD. After a median follow-up of 34.0 months (25th to 75th percentile, 60.0), 39 (3.3%) patients had recurrent sCeAD events. cFMD+ and history of migraine predicted independently the risk of recurrent sCeAD (hazard ratio, 3.40 [95% CI, 1.58-7.31] and 2.07 [95% CI, 1.06-4.03], respectively) in multivariable Cox proportional hazards analysis. CONCLUSIONS: Risk factor profile of sCeAD patients with cFMD differs from that of patients without cFMD. cFMD and migraine are independent predictors of midterm risk of sCeAD recurrence.

Long-term outcome of cervical artery dissection : IPSYS CeAD: study protocol, rationale, and baseline data of an Italian multicenter research collaboration.

Long-term consequences of cervical artery dissection (CeAD), a major cause of ischemic stroke in young people, have been poorly investigated. The Italian Project on Stroke at Young Age - Cervical Artery Dissection (IPSYS CeAD) project is a multicenter, hospital-based, consecutively recruiting, observational, cohort study aimed to address clinically important questions about long-term outcome of CeAD patients, which are not covered by other large-scale registries. Patients with radiologically diagnosed CeAD were consecutively included in the registry. Baseline demographic and clinical variables, as well as information on risk factors, were systematically collected for each eligible patient. Follow-up evaluations were conducted between 3 and 6 months after the initial event (t1) and then annually (t2 at 1 year, t3 at 2 years , and so on), in order to assess outcome events (long-term recurrent CeAD, any fatal/nonfatal ischemic stroke, transient ischemic attack (TIA), or other arterial thrombotic event, and death from any cause). Between 2000 and 2019, data from 1530 patients (age at diagnosis, 47.2 ± 11.5 years; women, 660 [43.1%]) have been collected at 39 Italian neurological centers. Dissection involved a single vessel in 1308 (85.5%) cases and caused brain ischemia in 1303 (85.1%) (190 TIA/1113 ischemic stroke). Longitudinal data are available for 1414 (92.4%) patients (median follow-up time in patients who did not experience recurrent events, 36.0 months [25th to 75th percentile, 63.0]). The collaborative IPSYS CeAD effort will provide novel information on the long-term outcome of CeAD patients. This could allow for tailored treatment approaches based on patients' individual characteristics.

Clinical characteristics and outcomes of inpatients with neurologic disease and COVID-19 in Brescia, Lombardy, Italy.

OBJECTIVE: To report clinical and laboratory characteristics, treatment, and clinical outcomes of patients admitted for neurologic diseases with and without coronavirus disease 2019 (COVID-19). METHODS: In this retrospective, single-center cohort study, we included all adult inpatients with confirmed COVID-19 admitted to a neuro-COVID unit beginning February 21, 2020, who had been discharged or died by April 5, 2020. Demographic, clinical, treatment, and laboratory data were extracted from medical records and compared (false discovery rate corrected) to those of neurologic patients without COVID-19 admitted in the same period. RESULTS: One hundred seventy-three patients were included in this study, of whom 56 were positive and 117 were negative for COVID-19. Patients with COVID-19 were older (77.0 years, interquartile range [IQR] 67.0-83.8 years vs 70.1 years, IQR 52.9-78.6 years, p = 0.006), had a different distribution regarding admission diagnoses, including cerebrovascular disorders (n = 43, 76.8% vs n = 68, 58.1%), and had a higher quick Sequential Organ Failure Assessment (qSOFA) score on admission (0.9, IQR 0.7-1.1 vs 0.5, IQR 0.4-0.6, p = 0.006). In-hospital mortality rates (n = 21, 37.5% vs n = 5, 4.3%, p < 0.001) and incident delirium (n = 15, 26.8% vs n = 9, 7.7%, p = 0.003) were significantly higher in the COVID-19 group. Patients with COVID-19 and without COVID with stroke had similar baseline characteristics, but patients with COVID-19 had higher modified Rankin Scale scores at discharge (5.0, IQR 2.0-6.0 vs 2.0, IQR 1.0-3.0, p < 0.001), with a significantly lower number of patients with a good outcome (n = 11, 25.6% vs n = 48, 70.6%, p < 0.001). In patients with COVID-19, multivariable regressions showed increasing odds of in-hospital death associated with higher qSOFA scores (odds ratio [OR] 4.47, 95% confidence interval [CI] 1.21-16.5, p = 0.025), lower platelet count (OR 0.98, 95% CI 0.97-0.99, p = 0.005), and higher lactate dehydrogenase (OR 1.01, 95% CI 1.00-1.03, p = 0.009) on admission. CONCLUSIONS: Patients with COVID-19 admitted with neurologic disease, including stroke, have a significantly higher in-hospital mortality and incident delirium and higher disability than patients without COVID-19.