COVID-19 Prevalence and Mortality Among Schizophrenia Patients: A Large-Scale Retrospective Cohort Study

ObjectiveIndividuals with schizophrenia may be at an increased risk for COVID-19 morbidity due to the disease characteristics. In this study, we aimed to explore the odds of significant COVID-19 morbidity and mortality among schizophrenia patients while controlling for potential sociodemographic and medical confounders.MethodsSchizophrenia patients and age-and-sex matched controls (total n = 51 078) were assessed for frequency of COVID-19 positivity, hospitalizations, and mortality. The odds for COVID-19-associated hospitalization and mortality were calculated using logistic regression models, while controlling for age, sex, marital status, sector, socioeconomic status, diabetes, ischemic heart disease, hypertension, hyperlipidemia, obesity, smoking, and chronic obstructive pulmonary disease.ResultsIndividuals with schizophrenia were less likely to test positive for COVID-19; however, they were twice as likely to be hospitalized for COVID-19 (OR 2.15 95% CI 1.63–2.82, P < .0001), even after controlling for sociodemographic and clinical risk factors (OR 1.88 95% CI 1.39–2.55, P < .0001). Furthermore, they were 3 times more likely to experience COVID-19 mortality (OR 3.27 95% CI 1.39–7.68, P < .0001), compared to controls.ConclusionsWe found evidence of associations between schizophrenia and increased COVID-19 morbidity and mortality compared to controls regardless of sociodemographic and medical factors. As these patients present with a combination of potential risk factors for mortality, efforts should be made to minimize the effects of the pandemic on this vulnerable population.     

COVID-19 and Stroke Recurrence by Subtypes: A Propensity-Score Matched Analyses of Stroke Subtypes in 44,994 Patients

BackgroundCerebrovascular diseases (CVDs), including varying strokes, can recur in patients upon coronavirus disease 2019 (COVID-19) diagnosis, but risk factor stratification based on stroke subtypes and outcomes is not well studied in large studies using propensity-score matching. We identified risk factors and stroke recurrence based on varying subtypes in patients with a prior CVD and COVID-19.MethodsWe analyzed data from 45 health care organizations and created cohorts based on ICDs for varying stroke subtypes utilizing the TriNetX Analytics Network. We measured the odds ratios and risk differences of hospitalization, ICU/critical care services, intubation, mortality, and stroke recurrence in patients with COVID-19 compared to propensity-score matched cohorts without COVID-19 within 90-days.Results22,497 patients with a prior history of CVD within 10 years and COVID-19 diagnosis were identified. All cohorts with a previous CVD diagnosis had an increased risk of hospitalization, ICU, and mortality. Additionally, the data demonstrated that a history of ischemic stroke increased the risk for hemorrhagic stroke and transient ischemic attack (TIA) (OR:1.59, 1.75, p-value: 0.044*, 0.043*), but a history of hemorrhagic stroke was associated with a higher risk for hemorrhagic strokes only (ORs 3.2, 1.7, 1.7 and p-value: 0.001*, 0.028*, 0.001*). History of TIA was not associated with increased risk for subsequent strokes upon COVID-19 infection (all p-values: ≥ 0.05).ConclusionsCOVID-19 was associated with an increased risk for hemorrhagic strokes and TIA among all ischemic stroke patients, an increased risk for hemorrhagic stroke in hemorrhagic stroke patients, and no associated increased risk for any subsequent strokes in TIA patients.     

Management of sleep apnea in New York City during the COVID-19 pandemic

BackgroundWith the onset of the COVID-19 outbreak there has been concern that patients with obstructive sleep apnea (OSA) who develop COVID-19 may be at risk of greater morbidity and mortality than patients without OSA. COVID-19 is associated with an increased mortality in the elderly and particularly those with obesity, hypertension and diabetes, features which are typically seen in patients with OSA. This article describes the COVID-19 environment in New York City in which patients were evaluated and treated for OSA.MethodsA telephone questionnaire survey of 112 OSA patients determined the occurrence of COVID-19 in the sleep apnea population and the patients' perspective on sleep apnea Positive Airway Pressure (PAP) management during the COVID-19 outbreak. The three main objectives of the survey were as follows: (1) To discover how patients were coping with COVID-19 pandemic in terms of their sleep apnea and PAP use, (2) To determine whether PAP usage changed after the onset of the outbreak in terms of adherence, and (3) To find out if patients were concerned about whether they were at greater risk of contracting COVID-19 because of their sleep apnea and, if they became infected, whether COVID-19 might result in greater complications because of the presence of sleep apnea.Results/ConclusionsThe adjustment in clinical management of OSA patients is described both during the peak of the outbreak in New York State (NYS), as well as the proposed modifications that will be instituted in order to return to full sleep center activities.     

Parkinson's disease patients may have higher rates of Covid-19 mortality in Iran

BackgroundParkinson's disease (PD) patients may be at increased risk of Covid-19 mortality due to the nature of their disease or underlying conditions.MethodThe information of 12,909 Covid-19 patients who were hospitalized during the last eleven months were collected from the data depository of two referral university hospitals. Eighty-seven of these patients were diagnosed with PD, and thirty-one of these PD patients died because of Covid-19. 2132 other deaths occurred in these centers, related to Covid-19 of non-PD patients. Fisher exact test, Chi-square test, and Principle component analysis were used for statistical analysis.ResultsThe mortality among PD patients and other hospitalized patients was 35.6% and 19.8%, respectively, and the difference between the mortality of these two groups was found to be statistically significant (p-value<0.01). The mean age of PD patients who passed away was 77.06 ± 7.46, and it was not significantly different from that of alive PD patients (p-value>0.05). Alzheimer's disease as an underlying condition was more frequent in deceased PD patients in comparison to survived PD patients, and this difference was found to be statistically significant (p-value<0.01).ConclusionPD patients possess a higher rate of Covid-19 mortality in comparison with other patients hospitalized for Covid-19. PD pathophysiology, advanced age, underlying conditions, and health systems’ efficacy may play an essential role in such an outcome.     

Risk of Mortality in Elderly Coronavirus Disease 2019 Patients With Mental Health Disorders: A Nationwide Retrospective Study in South Korea

ObjectiveThis study aimed to investigate the different clinical characteristics among elderly coronavirus disease 2019 (COVID-19) patients with and without mental disorders in South Korea and determine if these characteristics have an association with underlying mental disorders causing mortality.MethodA population-based comparative cohort study was conducted using the national claims database. Individuals aged ≥65 years with confirmed COVID-19 between January 1, 2020 and April 10, 2020 were assessed. The endpoints for evaluating mortality for all participants were death, 21 days after diagnosis, or April 10, 2020. The risk of mortality associated with mental disorders was estimated using Cox hazards regression.ResultsWe identified 814 elderly COVID-19 patients (255 [31.3%] with mental disorder and 559 [68.7%] with nonmental disorder). Individuals with mental disorders were found more likely to be older, taking antithrombotic agents, and had diabetes, hypertension, chronic obstructive lung disease, and urinary tract infections than those without mental disorders. After propensity score stratification, our study included 781 patients in each group (236 [30.2%] with mental disorder and 545 [69.8%] with nonmental disorder). The mental disorder group showed higher mortality rates than the nonmental disorder group (12.7% [30/236] versus 6.8% [37/545]). However, compared to patients without mental disorders, the hazard ratio (HR) for mortality in elderly COVID-19 patients with mental disorders was not statistically significant (HR: 1.57, 95%CI: 0.95–2.56).ConclusionAlthough the association between mental disorders in elderly individuals and mortality in COVID-19 is unclear, this study suggests that elderly patients with comorbid conditions and those taking psychiatric medications might be at a higher risk of COVID-19.     

Evaluation of ABCD2 score during the development of stroke in COVID-19 patients diagnosed with transient ischemic attack in the emergency department

BackgroundThe aim of the present study is to reveal the association between the risk of stroke using ABCD₂ score and COVID-19 in patients who presented to our emergency department during the pandemic and were diagnosed with TIA.MethodsAccording to the recommendations of the European Stroke Association, patients with an ABCD2 score of <4 were classified as low-risk, and patients with an ABCD2 score of ≥4 were classified as high-risk. Within 90 days of the patient's admission to the emergency room, the development of stroke was tracked and recorded on the system.ResultsStroke occurred in 35.78% of the patients. Regarding COVID-19, 75.34% of stroke patients were positive for COVID-19 and 65.75% had COVID-19 compatible pneumonia on 'thoracic CT'. Regarding mortality, 16.4% of the patients who were positive for COVID-19 and developed a stroke died. The presence of COVID-19 compatible pneumonia on thorax CT, PCR test result and ABCD2 score were determined as independent risk factors for the development of stroke. According to the PCR test results, the probability of having a stroke decreases 0.283 times in patients who are negative for COVID-19. According to the PCR test results, the probability of having a stroke increased 2.7 times in COVID-19 positive patients.ConclusionsAdding the presence of COVID-19 and the presence of COVID-19 pneumonia to the ABCD₂ score, based on the information about the increased risk of stroke in TIA patients, improves the predictive power of the score. More studies are needed in this regard.     

Incidence and risk factors for stroke in patients with COVID-19 in the Philippines: An analysis of 10,881 cases

BackgroundWhile most large studies on the possible association of COVID-19 and stroke were done in high-income countries, only a few studies consisting of small sample populations have been done in low- to middle-income countries like the Philippines.ObjectivesTo determine the risk factors of stroke among hospitalized COVID19 patients in the Philippines; to determine the possible association between these risk factors and stroke among the same cohort; and to determine if there is an association between mortality and stroke in this same group.MethodologyWe obtained relevant clinical and neurological, including stroke data from the Philippine CORONA study, an observational study involving 10,881 patients with COVID-19 admitted in 37 referral hospitals from all over the Philippines.ResultsThe incidence of stroke among patients with COVID-19 was 3.4% (n = 367). There were more deaths among patients with stroke and COVID-19 than those without stroke and COVID-19 (42.2% vs 14.7%, p < 0.01). In addition, more patients with stroke were admitted in the ICU (43.3% vs 15.0%, p < 0.01) regardless of cause. Smoking (OR: 1.5, 95% CI: 1.3 to 1.7, p < 0.0001), hypertension (OR:1.75, 95% CI:1.53 to 1.97, p < 0.0001), presence of heart failure (OR: 1.4, 95% CI: 1.07 to 1.86, p = 0.01), presence of any neurologic co-morbidities (OR: 1.4, 95% CI:1.11 to 1.46, p = 0.004), and history of stroke (OR:2.3, 95% CI:1.82 to 2.97, p < 0.0001) had direct significant correlation with stroke; while being a health care worker (OR: 0.5, 95% CI: 0.33 to 0.70, p < 0.0004) had an inverse significant association with stroke.ConclusionCOVID-19 stroke patients in the Philippines have a higher mortality and ICU admission rates than patients with COVID-19 alone or COVID-19 stroke patients from developed countries. Our cohort has similar cardiovascular and metabolic risk factors to western patients with stroke, highlighting that COVID-19 may only have a small contribution to stroke incidence.     

COVID-19 and Stroke: Incidence and Etiological Description in a High-Volume Center

BackgroundAn increased rate of thrombotic events has been associated to Coronavirus Disease 19 (COVID-19) with a variable rate of acute stroke. Our aim is to uncover the rate of acute stroke in COVID-19 patients and identify those cases in which a possible causative relationship could exist.MethodsWe performed a single-center analysis of a prospective mandatory database. We studied all patients with confirmed COVID-19 and stroke diagnoses from March 2^nd to April 30^th. Demographic, clinical, and imaging data were prospectively collected. Final diagnosis was determined after full diagnostic work-up unless impossible due to death.ResultsOf 2050 patients with confirmed SARS-CoV-2 infection, 21 (1.02%) presented an acute ischemic stroke 21 and 4 (0.2%) suffered an intracranial hemorrhage. After the diagnostic work-up, in 60.0% ischemic and all hemorrhagic strokes patients an etiology non-related with COVID-19 was identified. Only in 6 patients the stroke cause was considered possibly related to COVID-19, all of them required mechanical ventilation before stroke onset. Ten patients underwent endovascular treatment; compared with patients who underwent EVT in the same period, COVID-19 was an independent predictor of in-hospital mortality (50% versus 15%; Odds Ratio, 6.67; 95% CI, 1.1-40.4; p 0.04).ConclusionsThe presence of acute stroke in patients with COVID-19 was below 2% and most of them previously presented established stroke risk factors. Without other potential cause, stroke was an uncommon complication and exclusive of patients with a severe pulmonary injury. The presence of COVID-19 in patients who underwent EVT was an independent predictor of in-hospital mortality.     

Safety and Outcomes of Intravenous Thrombolytic Therapy in Ischemic Stroke Patients with COVID-19: CASCADE Initiative

BackgroundThere is little information regarding the safety of intravenous tissue plasminogen activator (IV-tPA) in patients with stroke and COVID-19.MethodsThis multicenter study included consecutive stroke patients with and without COVID-19 treated with IV-tPA between February 18, 2019, to December 31, 2020, at 9 centers participating in the CASCADE initiative. Clinical outcomes included modified Rankin Scale (mRS) at hospital discharge, in-hospital mortality, the rate of hemorrhagic transformation. Using Bayesian multiple regression and after adjusting for variables with significant value in univariable analysis, we reported the posterior adjusted odds ratio (OR, with 95% Credible Intervals [CrI]) of the main outcomes.ResultsA total of 545 stroke patients, including 101 patients with COVID-19 were evaluated. Patients with COVID-19 had a more severe stroke at admission. In the study cohort, 85 (15.9%) patients had a hemorrhagic transformation, and 72 (13.1%) died in the hospital. After adjustment for confounding variables, discharge mRS score ≥2 (OR: 0.73, 95% CrI: 0.16, 3.05), in-hospital mortality (OR: 2.06, 95% CrI: 0.76, 5.53), and hemorrhagic transformation (OR: 1.514, 95% CrI: 0.66, 3.31) were similar in COVID-19 and non COVID-19 patients. High-sensitivity C reactive protein level was a predictor of hemorrhagic transformation in all cases (OR:1.01, 95%CI: 1.0026, 1.018), including those with COVID-19 (OR:1.024, 95%CI:1.002, 1.054).ConclusionIV-tPA treatment in patients with acute ischemic stroke and COVID-19 was not associated with an increased risk of disability, mortality, and hemorrhagic transformation compared to those without COVID-19. IV-tPA should continue to be considered as the standard of care in patients with hyper acute stroke and COVID-19.     

Imaging spectrum of acute invasive fungal rhino-orbital-cerebral sinusitis in COVID-19 patients: A case series and a review of literature

BackgroundThe incidence of devastating opportunistic coinfections in patients with COVID-19 infection, their imaging features and their morbidity and mortality consequences need to be unraveled.MethodsThis is a case series presenting the radiologic features and clinical presentation of acute invasive fungal rhino-orbital-cerebral sinusitis (AIFS) in eight hospitalized patients with confirmed COVID-19 infection.ResultsOur patient cohort presented with symptoms of the invasive fungal disease within 12–35 days from their initial presentation with COVID-19 infection. The cross-sectional imaging features of AIFS associated with COVID-19 infection do not differ from those reported in the literature for AIFS associated with other risk factors, yet our patients had features of aggressive late-stage forms with high morbidity and mortality rate.ConclusionAIFS is a possible encounter in patients with COVID-19 patients and radiologists should be familiar with its imaging features.     

Parkinson's disease may worsen outcomes from coronavirus disease 2019 (COVID-19) pneumonia in hospitalized patients: A systematic review,meta-analysis,and meta-regression

BackgroundParkinson's Disease (PD) is among one of the common comorbidities in older patients. People with PD may be more vulnerable to severe pneumonia, due to the impairment of pulmonary function. Currently, the association between PD and COVID-19 is not yet established. This study aims to analyze the relationship between PD and in-hospital outcomes of COVID-19.Materials and methodsWe systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until December 25th, 2020. All articles published on COVID-19 and Parkinson's Disease were retrieved. The quality of the study was assessed using the Newcastle Ottawa Scale (NOS) tool for observational studies and Joanna Briggs Institute (JBI) Critical Appraisal Tools for cross-sectional studies. Statistical analysis was done using Review Manager 5.4 software.ResultsA total of 12 studies with 103,874 COVID-19 patients were included in this meta-analysis. This meta-analysis showed that Parkinson's Disease was associated with poor in-hospital outcomes [[OR 2.64 (95% CI 1.75–3.99), p < 0.00001, I² = 81%] and its subgroup which comprised of severe COVID-19 [OR 2.61 (95% CI 1.98–3.43), p < 0.00001, I² = 0%] and mortality from COVID-19 [RR 2.63 (95% CI 1.50–4.60), p = 0.0007, I² = 91%]. Meta-regression showed that the association was influenced by age (p = 0.05), but not by gender (p = 0.46) and dementia (p = 0.23).ConclusionsExtra care and close monitoring should be provided to Parkinson's Disease patients to minimize the risk of infections, preventing the development of severe and mortality outcomes.     

Mortality following mechanical thrombectomy for ischemic stroke in patients with COVID-19

ObjectivesMultiple prior studies have shown a relationship between COVID-19 and strokes; further, COVID-19 has been shown to influence both time-to-thrombectomy and overall thrombectomy rates. Using large-scale, recently released national data, we assessed the association between COVID-19 diagnosis and patient outcomes following mechanical thrombectomy.Materials and methodsPatients in this study were identified from the 2020 National Inpatient Sample. All patients with arterial strokes undergoing mechanical thrombectomy were identified using ICD-10 coding criteria. Patients were further stratified by COVID diagnosis (positive vs. negative). Other covariates, including patient/hospital demographics, disease severity, and comorbidities were collected. Multivariable analysis was used to determine the independent effect of COVID-19 on in-hospital mortality and unfavorable discharge.Results5078 patients were identified in this study; 166 (3.3%) were COVID-19 positive. COVID-19 patients had a significantly higher mortality rate (30.1% vs. 12.4%, p < 0.001). When controlling for patient/hospital characteristics, APR-DRG disease severity, and Elixhauser Comorbidity Index, COVID-19 was an independent predictor of increased mortality (OR 1.13, p = 0.002). COVID-19 was not significantly related to discharge disposition (p = 0.480). Older age and increased APR-DRG disease severity were also correlated with increase morality.ConclusionsOverall, this study indicates that COVID-19 is a predictor of mortality among mechanical thrombectomy. This finding is likely multifactorial but may be related to multisystem inflammation, hypercoagulability, and re-occlusion seen in COVID-19 patients. Further research would be needed to clarify these relationships.     

Characteristics of subarachnoid hemorrhage associated with COVID-19 infection: A systematic review and descriptive analysis

ObjectiveSubarachnoid hemorrhage (SAH) has been reported as a neurological manifestation in 0.1% of COVID-19 patients. This systematic review investigated the outcomes and predictive factors of SAH in patients with COVID-19.Materials and methodsAn electronic literature search was conducted on PubMed, Embase, and Scopus from inception to 10^th September 2021. Studies reporting SAH in COVID-19 patients were included. Demographic characteristics, risk factors for disease, severity of COVID-19, and mortality of SAH in COVID-19 patients were analyzed. Subgroup analyses stratified by COVID-19 severity and mortality were conducted.Results17 case reports, 11 case series, and 2 retrospective cohort studies, with a total of 345 cases of SAH in COVID-19 patients, were included for analysis. Most published cases were reported in the US. Mean age was 55±18.4 years, and 162 patients (48.5%) were female. 242 patients (73.8%) had severe-to-critical COVID-19, 56.7% had aneurysmal SAH, 71.4% were on anticoagulation, and 10.8% underwent surgical treatment. 136 out of 333 patients (40.8%) died. Among patients with severe-to-critical COVID-19, 11 out of 18 (61.1%) died, and 8 out of 8 (100.0%) were non-aneurysmal SAH.ConclusionsSAH is a rare but morbid occurrence in COVID-19. The mortality rate of COVID-SAH patients was 40.8%, with a higher prevalence of severe-to-critical COVID-19 (100% versus 53.8%) and non-aneurysmal SAH (85.7% versus 44.6%) among COVID-SAH deaths. Given the changing landscape of COVID-19 variants, further studies investigating the association between COVID-19 and SAH may be warranted to identify the long-term effects of COVID-19.     

Altered Mental Status: An Important but Overlooked Presenting Symptom of COVID-19 in Older Adults

ObjectivesTo determine whether altered mental status (AMS) as a presenting symptom in older adults with COVID-19 is independently associated with adverse outcomes.MethodsA retrospective single center observational study of admitted patients (n = 421) age greater than 60 and a positive COVID-19 test. Outcomes included mortality, intubation, acute respiratory distress syndrome, acute kidney injury, and acute cardiac injury. Multivariate regression analysis was used to determine if presenting with AMS was associated with adverse outcomes.ResultsThere was an increased risk of mortality (RR 1.29, 95% CI 1.05–1.57), intubation (RR 1.52, 95% CI 1.09–2.12) and AKI (RR 1.42, 95% CI 1.13–1.78) in patients that presented with AMS.ConclusionsDuring a global pandemic, prognostic indicators are vital to help guide the clinical course of patients, reduce healthcare cost, and preserve life. Our study suggests that AMS can play a major role in diagnostic algorithms in older adults with COVID-19.     

Clinical Characteristics of Patients with Acute Ischemic Stroke Previously Vaccinated Against COVID-19

ObjectivesThe aim of this study was to examine the clinical characteristics of patients with acute ischemic stroke which were previously vaccinated against Coronavirus Disease 2019 (COVID-19) and determine whether the vaccine had impact on outcome.Materials and MethodsIn this observational cohort study we analyzed the clinical characteristics of 58 patients with ischemic stroke, previously vaccinated against COVID-19. We analyzed demographic characteristics, risk factors, type of stroke and outcome. We also compared outcome of those patients with outcome in stroke patients hospitalized in the same period but not vaccinated, patients hospitalized during the pandemic, before vaccination began, and stroke patients hospitalized before the pandemic. Further, we compared mortality rate with mortality rate in patients who had acute ischemic stroke and COVID-19 simultaneously.ResultsThe mean age of the patients was 71.0 years, most were male (58.6%), mostly with risk factors for stroke. In the largest number of patients, 17 (29.3%), the etiopathogenetic mechanism of stroke was atherosclerosis of the large arteries. Mortality in vaccinated patients was identical to mortality in stroke patients before pandemic, without significant difference from mortality in unvaccinated patients (13.8% versus 8.6%; p= 0.23). The mean NIHSS and mRS score at discharge for all examined groups were without significant difference. A significant difference in mortality was found between COVID-19 positive and COVID-19 negative stroke patients (37.8% versus 18.1%; p=0.001).ConclusionsThere are no significant differences in clinical characteristics of stroke in vaccinated compared to unvaccinated patients. We did not find a connection between vaccination and stroke.     

The changes of exercise pattern and clinical symptoms in patients with Parkinson's disease in the era of COVID-19 pandemic

IntroductionThe coronavirus disease 2019 (COVID-19) pandemic has disrupted everyday life of Parkinson's disease (PD) patients, but its clinical impact has not been illustrated. In this study, we investigated the change in physical activity and subsequently clinical symptoms of PD during the COVID-19 pandemic.MethodsWe enrolled PD patients who were able to ambulate independently and had visited our clinic at Samsung Medical Centre from December 2019 to January 2020 (baseline) and in May 2020 (follow-up during the COVID-19 crisis), and divided them into either ‘the sustained exercise group’ or ‘the reduced exercise group’. Then, we assessed the change in the exercise and clinical features between these two groups over the study period.ResultsA total of 100 subjects were recruited. During the COVID-19 pandemic, the amount, duration and frequency of exercise were reduced. There was decrease in number of patients who do indoor-solo exercise and increase in that of patients who do not exercise. One third reported subjective worsening of both motor and non-motor features, although Unified PD Rating Scale (UPDRS) part 3 score was similar. Additionally, the reduced exercise group reported more motor and non-motor aggravation than the sustained exercise group, despite lack of significant difference in the UPDRS part 3 score.ConclusionThe COVID-19 pandemic had a clear impact on exercise and subjective symptoms in PD patients, with reduced exercise being related to a subjective increase in both motor and non-motor symptoms of PD. Maintaining exercise should therefore be emphasized even in situations like the COVID-19 pandemic.     

Clinical Characteristics of Stroke with COVID-19: A Systematic Review and Meta-Analysis

BackgroundThe coronavirus disease 2019 (COVID-19) potentially increases the risk of thromboembolism and stroke. Numerous case reports and retrospective cohort studies have been published with mixed characteristics of COVID-19 patients with stroke regarding age, comorbidities, treatment, and outcome. We aimed to depict the frequency and clinical characteristics of COVID-19 patients with stroke.MethodsPubMed and EMBASE were searched on June 10, 2020, to investigate COVID-19 and stroke through retrospective cross-sectional studies, case series/reports according to PRISMA guidelines. Study-specific estimates were combined using one-group meta-analysis in a random-effects model.Results10 retrospective cohort studies and 16 case series/reports were identified including 183 patients with COVID-19 and stroke. The frequency of detected stroke in hospitalized COVID-19 patients was 1.1% ([95% confidential interval (CI)]: [0.6-1.6], I² = 62.9%). Mean age was 66.6 ([58.4-74.9], I² = 95.1%), 65.6% was male (61/93 patients). Mean days from symptom onset of COVID-19 to stroke was 8.0 ([4.1-11.9], p< 0.001, I² = 93.1%). D-dimer was 3.3 μg/mL ([1.7-4.9], I² = 86.3%), and cryptogenic stroke was most common as etiology at 50.7% ([31.0-70.4] I² = 64.1%, 39/71patients). Case fatality rate was 44.2% ([27.9-60.5], I² = 66.7%, 40/100 patients).ConclusionsThis systematic review assessed the frequency and clinical characteristics of stroke in COVID-19 patients. The frequency of detected stroke in hospitalized COVID-19 patients was 1.1% and associated with older age and stroke risk factors. Frequent cryptogenic stroke and elevated d-dimer level support increased risk of thromboembolism in COVID-19 associated with high mortality. Further study is needed to elucidate the pathophysiology and prognosis of stroke in COVID-19 to achieve most effective care for this population.     

Increased in-hospital mortality from COVID-19 in patients with schizophrenia

BackgroundThere is limited information describing the presenting characteristics and outcomes of patients with schizophrenia (SCZ) requiring hospitalization for coronavirus disease 2019 (COVID-19).AimsWe aimed to compare the clinical characteristics and outcomes of COVID-19 SCZ patients with those of non-SCZ patients.MethodThis was a case-control study of COVID-19 patients admitted to 4 AP–HM/AMU acute care hospitals in Marseille, southern France. COVID-19 infection was confirmed by a positive result on polymerase chain reaction testing of a nasopharyngeal sample and/or on chest computed scan among patients requiring hospital admission. The primary outcome was in-hospital mortality. The secondary outcome was intensive care unit (ICU) admission.ResultsA total of 1092 patients were included. The overall in-hospital mortality rate was 9.0%. The SCZ patients had an increased mortality compared to the non-SCZ patients (26.7% vs. 8.7%, P = 0.039), which was confirmed by the multivariable analysis after adjustment for age, sex, smoking status, obesity and comorbidity (adjusted odds ratio 4.36 [95% CI: 1.09–17.44]; P = 0.038). In contrast, the SCZ patients were not more frequently admitted to the ICU than the non-SCZ patients. Importantly, the SCZ patients were mostly institutionalized (63.6%, 100% of those who died), and they were more likely to have cancers and respiratory comorbidities.ConclusionsThis study suggests that SCZ is not overrepresented among COVID-19 hospitalized patients, but SCZ is associated with excess COVID-19 mortality, confirming the existence of health disparities described in other somatic diseases.     

Risk Stratification Models for Stroke in Patients Hospitalized with COVID-19 Infection

ObjectivesTo derive models that identify patients with COVID-19 at high risk for stroke.Materials and MethodsWe used data from the AHA's Get With The Guidelines® COVID-19 Cardiovascular Disease Registry to generate models for predicting stroke risk among adults hospitalized with COVID-19 at 122 centers from March 2020-March 2021. To build our models, we used data on demographics, comorbidities, medications, and vital sign and laboratory values at admission. The outcome was a cerebrovascular event (stroke, TIA, or cerebral vein thrombosis). First, we used Cox regression with cross validation techniques to identify factors associated with the outcome in both univariable and multivariable analyses. Then, we assigned points for each variable based on corresponding coefficients to create a prediction score. Second, we used machine learning techniques to create risk estimators using all available covariates.ResultsAmong 21,420 patients hospitalized with COVID-19, 312 (1.5%) had a cerebrovascular event. Using traditional Cox regression, we created/validated a COVID-19 stroke risk score with a C-statistic of 0.66 (95% CI, 0.60–0.72). The CANDLE score assigns 1 point each for prior cerebrovascular disease, afebrile temperature, no prior pulmonary disease, history of hypertension, leukocytosis, and elevated systolic blood pressure. CANDLE stratified risk of an acute cerebrovascular event according to low- (0–1: 0.2% risk), medium- (2–3: 1.1% risk), and high-risk (4–6: 2.1–3.0% risk) groups. Machine learning estimators had similar discriminatory performance as CANDLE: C-statistics, 0.63–0.69.ConclusionsWe developed a practical clinical score, with similar performance to machine learning estimators, to help stratify stroke risk among patients hospitalized with COVID-19.     

Uptake of telehealth in Parkinson's disease clinical care and research during the COVID-19 pandemic

IntroductionTraditionally, medical care and research in Parkinson's disease (PD) have been conducted with in-person encounters. The recent COVID-19 pandemic has profoundly impacted the delivery of in-person clinical care and clinical research. We conducted an online survey of active clinician members of the Parkinson Study Group (PSG) to evaluate the adoption of various non-face-to-face methods in clinical practice and research in PD during the COVID-19 pandemic.MethodsWe conducted a survey using the open-access online SurveyMonkey tool (http://www.surveymonkey.com). The survey had 27 items and was designed to elucidate clinical/research care before and during the COVID-19 pandemic. The survey was sent to 414 active PSG members with weekly reminders and it remained accessible for 30 days from May 2020.ResultsWe received 142 responses, of which 133 (93.7%) provided demographic data. The clinical use of virtual visits via synchronous video conferencing increased from 39.5% pre-COVID-19 to 94.6% during the COVID-19 pandemic. Lack of access for patients (68.2%) and patient resistance (51.4%) were the top barriers for its use. Approximately 70% respondents stated that 75–100% of their research activities were suspended during the COVID-19 pandemic. Many sites had to fill out protocol deviations (38.2%), protocol exceptions (25.5%) or change their research profile due to layoffs (16.8%). The overall use of video conferencing increased from 30.3% to 64.1%.ConclusionThe current results suggest a need for flexibility in conducting office visits and clinical trials in PD patients. Technology has the potential to enhance patient care and convenience, when in-person visits can be challenging.