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1.
Int J Biol Macromol ; 2022.
Article in English | PubMed | ID: covidwho-2158943

ABSTRACT

Targeting the interaction between the spike protein receptor binding domain (S-RBD) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and angiotensin-converting enzyme 2 (ACE2) is a potential therapeutic strategy for treating coronavirus disease 2019 (COVID-19). However, we still lack small-molecule drug candidates for this target due to the missing knowledge in the hot spots for the protein-protein interaction. Here, we used NanoBiT technology to identify three Ginkgolic acids from an in-house traditional Chinese medicine (TCM) library, and they interfere with the S-RBD/ACE2 interplay. Our pseudovirus assay showed that one of the compounds, Ginkgolic acid C17:1 (GA171), significantly inhibits the entry of original SARS-CoV-2 and its variants into the ACE2-overexpressed HEK293T cells. We investigated and proposed the binding sites of GA171 on S-RBD by combining molecular docking and molecular dynamics simulations. Site-directed mutagenesis and surface plasmon resonance revealed that GA171 specifically binds to the pocket near R403 and Y505, critical residues of S-RBD for S-RBD interacting with ACE2. Thus, we provide structural insights into developing new small-molecule inhibitors and vaccines against the proposed S-RBD binding site.

2.
Biotechnology & Bioengineering ; 08:08, 2022.
Article in English | MEDLINE | ID: covidwho-2157710

ABSTRACT

Since the COVID-19 outbreak, unconventional cell line development (CLD) strategies have been taken to enable development of SARS-CoV-2-neutralizing antibodies at expedited speed. We previously reported a novel Chemistry, Manufacturing, and Control (CMC) workflow and demonstrated a much-shortened timeline of 3-6 months from DNA to investigational new drug (IND) application. Hereafter, we have incorporated this CMC strategy for many SARS-CoV-2-neutralizing antibody programs at WuXi Biologics. In this paper, we summarize the accelerated development of a total of seven antibody programs, some of which have received emergency use authorization (EUA) approval in less than two years. Stable pools generated under GMP conditions consistently exhibited similar productivity and product quality at different scales and batches, enabling rapid initiation of phase I clinical trials. Clones with comparable product quality as parental pools were subsequently screened and selected for late-stage development and manufacturing. Moreover, a preliminary stability study plan was devised to greatly reduce the time required for final clone determination and next-generation sequencing (NGS)-based viral testing was implemented to support rapid conditional release of the master cell bank (MCB) for GMP production. The successful execution of these COVID-19 programs relies on our robust, fit for purpose, and continuously improving CLD platform. The speed achieved for pandemic-related biologics development may innovate typical biologics development timelines and become a new standard in the industry. This article is protected by copyright. All rights reserved.

3.
Small ; : e2205445, 2022.
Article in English | PubMed | ID: covidwho-2148476

ABSTRACT

Exosomes are a class of nanoscale vesicles secreted by cells, which contain abundant information closely related to parental cells. The ultrasensitive detection of cancer-derived exosomes is highly significant for early non-invasive diagnosis of cancer. Here, an ultrasensitive nanomechanical sensor is reported, which uses a magnetic-driven microcantilever array to selectively detect oncogenic exosomes. A magnetic force, which can produce a far greater deflection of microcantilever than that produced by the intermolecular interaction force even with very low concentrations of target substances, is introduced. This method reduced the detection limit to less than 10 exosomes mL(-1) . Direct detection of exosomes in the serum of patients with breast cancer and in healthy people showed a significant difference. This work improved the sensitivity by five orders of magnitude as compared to that of traditional nanomechanical sensing based on surface stress mode. This method can be applied parallelly for highly sensitive detection of other microorganisms (such as bacteria and viruses) by using different probe molecules, which can provide a supersensitive detection approach for cancer diagnosis, food safety, and SARS-CoV-2 infection.

4.
Journal of Fiber Bioengineering and Informatics ; 15(2):131-144, 2022.
Article in English | Scopus | ID: covidwho-2143991

ABSTRACT

Introduction: Cangzhu, an herbal medicine used to treat symptoms of respiratory pneumonia in traditional Chinese medical system, has shown its effectiveness in combating fever, cough, and fatigue of current pandemic while no specialty drugs are available. Latest research in network pharmacology has confirmed the theoretical mechanism behind, the drug itself is commonly prescribed alone side another herb Aiye, which believed to be able to improve the effectiveness of Cangzhu. In this study, network pharmacology will be applied in search of potential mechanism behind. Method: The Traditional Chinese Medicine Systems Pharmacology (TCMSP) is used to filter the active compounds and the target of the prescription compound. The Genecard and OMIM database are applied to identify the target related to our aim symptom fever, cough, and fatigue. The STRING database is used to analyse the intercepted targets. Compound-target interaction and protein-protein interaction networks are constructed using the Cytoscape between target disease Covid and our medicine mixture Cangzhu and Aiye. The Kyoto Encyclopaedia of Genes and Genome (KEGG) pathway and Gene Ontology (GO) enrichment analysis are performed for investigation of the molecular mechanisms. Finally, the interaction probability between the targets and the active compounds can be determined by molecular docking technology. Results: A total of 14 target are identified, in which are 10 most important targets and 2 key compounds. Besides, 216 biological processes items are obtained (P<0.05). Two hundred and seventy-one pathways are obtained (P<0.05). The result of molecular docking shows a stable binding between the active compounds and the target. Copyright © 2022 Textile Bioengineering and Informatics Society.

5.
5th International Conference on Computer Information Science and Application Technology, CISAT 2022 ; 12451, 2022.
Article in English | Scopus | ID: covidwho-2137336

ABSTRACT

Based on the survey of 43 Marine ranches and 260 consumers, this paper uses the diversified and orderly Logit model to study the significant factors affecting the development of recreational fishery in Marine ranches.The study found that six factors, including consumer gender, individual economic strength, consumer demand for Marine pasture products, brand construction level of Marine pasture recreational fishery, online channel promotion level of Marine pasture recreational fishery and the impact of COVID-19 epidemic, had a significant impact on the development of Marine pasture recreational fishery.This paper divides tower into product development and brand building, marketing and daily operation three dimensions, suggest operators improve the level of recreational fishery product development and brand building, develop differentiation price, develop online channels, strengthen the whole process communication, innovation under the outbreak of daily operation mode, expand the market share, so as to enhance the competitiveness of Marine pasture recreational fishery. © 2022 SPIE.

6.
Early Childhood Research Quarterly ; 62:17-30, 2023.
Article in English | MEDLINE | ID: covidwho-2118110

ABSTRACT

This study provides a comprehensive, census-level evaluation of the impacts of the COVID-19 pandemic on the county child care market in a large and diverse state, North Carolina, and the disproportionate impacts of the pandemic on different types of providers and communities. We use county-level panel data from 2016 to 2020 and a difference-in-differences design to isolate the effects of the pandemic from unobservable seasonal trends in enrollments and closures. We found that the COVID-19 pandemic reduced county-level child care enrollment by 40% and the number of providers by 2% as of December 2020. Heterogeneity analyses revealed that the family child care sector experienced not only less severe reductions in enrollment and closure than center providers, but also a small growth in the number of family providers. Declines in enrollment were most substantial for preschool-aged children. There was a significant drop in the number of 5-star providers and an increase in the number of lower-quality providers. Provider closures were more concentrated in communities with a higher percentage of Hispanic residents. Higher-SES communities experienced larger drops in enrollment as well as provider closures. Implications for child development and future research and policies are discussed.

7.
Chinese Pharmacological Bulletin ; 38(2):290-296, 2022.
Article in Chinese | EMBASE | ID: covidwho-2114210

ABSTRACT

Aim To explore the effeetive components and molecular targets of Guizhi decoetion in treating COVID-19 combined with allergic rhinitis.Methods The potential targets assoeiated with Guizhi deeoetion, allergie rhinitis and COVID-19 were sereened from TC- MSP and Gene Cards databases.Draw Venn Diagram website, String database, and Cytoscape software were used to obtain the common targets of drugs and diseases, followed by generation of PPI network and " herbal-active component-target" network as well as screening of core targets and key components based on the degree value.Metascape and KEGG databases were used for GO and KEGG enrichment analysis.Molecular docking was utilized to validate the affinity between the core targets and the key components.Results A total of 127 effective components of Guizhi decoction were screened, of which 108 components could combine with 52 common targets to exert the therapeutic effects.Common targets were mainly enriched in 1523 (X) terms and 145 KEGG signaling pathways.Molecular docking confirmed that the core targets could spontaneously combine with key components.Conclusions Guizhi decoction is mainly involved in the regulation of viral, immune and inflammation-related signaling pathways and biological cellular processes through the binding of active components such as flavonoids, phy- tosterols and phenols to common targets ( IL-6, TNF, MAPK3, etc.) , ultimately achieving the goal of treating COVID-19 and allergic rhinitis. Copyright © 2022 Publication Centre of Anhui Medical University. All rights reserved.

8.
Journal of Experimental Medicine ; 220(1):02, 2023.
Article in English | MEDLINE | ID: covidwho-2107236

ABSTRACT

Inborn and acquired deficits of type I interferon (IFN) immunity predispose to life-threatening COVID-19 pneumonia. We longitudinally profiled the B cell response to mRNA vaccination in SARS-CoV-2 naive patients with inherited TLR7, IRF7, or IFNAR1 deficiency, as well as young patients with autoantibodies neutralizing type I IFNs due to autoimmune polyendocrine syndrome type-1 (APS-1) and older individuals with age-associated autoantibodies to type I IFNs. The receptor-binding domain spike protein (RBD)-specific memory B cell response in all patients was quantitatively and qualitatively similar to healthy donors. Sustained germinal center responses led to accumulation of somatic hypermutations in immunoglobulin heavy chain genes. The amplitude and duration of, and viral neutralization by, RBD-specific IgG serological response were also largely unaffected by TLR7, IRF7, or IFNAR1 deficiencies up to 7 mo after vaccination in all patients. These results suggest that induction of type I IFN is not required for efficient generation of a humoral response against SARS-CoV-2 by mRNA vaccines.

9.
Yaoxue Xuebao ; 57(10):3173-3185, 2022.
Article in Chinese | EMBASE | ID: covidwho-2100540

ABSTRACT

We identified molecular mechanisms by which Isatidis Radix might prevent or mitigate influenza and corona virus disease 2019 (COVID-19) based on chemical composition and network pharmacology. High performance liquid chromatography coupled to tandem quadrupole time-of-flight mass spectrometry (HPLC-QTOF-MS) was used to analyze the components of Isatidis Radix. Seventy compounds were identified, of which 33 prototype compounds entered the blood. Network pharmacological analysis of 41 potential active components demonstrated that Isatidis Radix can regulate protein kinase B1 (AKT1), serum albumin (ALB), glyceraldehyde-3phosphate dehydrogenase (GAPDH), vascular endothelial growth factor A (VEGFA), tyrosine-protein kinase SRC (SRC), epidermal growth factor receptor (EGFR), intercellular adhesion molecule-1 (ICAM1) and other key genes, which have preventive effects on influenza and COVID-19 through hypoxia inducible factor-1 (HIF-1), vascular endothelial growth factor (VEGF), tumor necrosis factor (TNF), influenza A, Toll-like receptor (TLR), phosphatidylinositol-3-kinase-protein kinase B (PI3K-AKT), COVID-19 and other signaling pathways. This study identifies mechanisms by which Isatidis Radix might act against influenza and COVID-19 that are related to the inflammatory response, immunomodulation and viral defense, and provides a basis for subsequent clinical research. All animal experiments were approved by the Ethics Committee of Shenyang Pharmaceutical University (SYPU-IACUCS2020-12.23-201). Copyright © 2022, Chinese Pharmaceutical Association. All rights reserved.

10.
Natural Product Communications ; 17(10), 2022.
Article in English | Web of Science | ID: covidwho-2089021

ABSTRACT

Objective: Shiwei Qingwen decoction (SWQWD) is effective in preventing COVID-19. This study examined the active components of SWQWD and its potential targets for preventing COVID-19. The study used network pharmacology and molecular docking technology to verify the role of SWQWD targets through animal experiments and explored the mechanisms that enhance immunity to alleviate mild COVID-19 symptoms. Methods: First, SWQWD- and COVID-19-related targets were retrieved from TCMSP, GeneCards, and OMIM databases. Second, protein-protein interaction networks were established using the String database. The drug active ingredient target network was constructed in Cytoscape to identify the core target proteins. Third, Gene Ontology (GO) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to predict the SWQWD mechanism of action. Finally, the targets were validated by molecular docking in an acute lung injury (ALI) rat model. Results: The SWQWD compound target network contained 79 compounds and 277 targets, coinciding with the 73 targets of COVID-19. The most important gene in the core subnetwork was a tumor necrosis factor (TNF). The 3 most potent compounds, quercetin, kaempferol, and luteolin, can enter the active pockets of TNF and have potential therapeutic roles in COVID-19. Conclusion: Quercetin, kaempferol, and luteolin in SWQWD may enhance immunity by regulating multiple TNF signal pathways. After administering SWQWD, the content of tumor necrosis factor-alpha was significantly reduced in the bronchoalveolar lavage fluid (BALF) of ALI rats in comparison to the model group. We believe SWQWD is able to prevent and control COVID-19 through the target of TNF.

11.
6th International Conference on Big Data and Internet of Things, BDIOT 2022 ; : 33-38, 2022.
Article in English | Scopus | ID: covidwho-2088938

ABSTRACT

The latent and insidious nature of COVID-19 transmission poses a great challenge to epidemic prevention and control. In order to predict its transmission trend more accurately, optimal epidemic prevention and control strategies and measures can be formulated. In this paper, we propose a SEIR-C epidemic transmission trend prediction model, which improves the traditional SEIR infectious disease model and combines it with the GRU model, and experiments show that the model has better results in epidemic transmission prediction. The paper also analyses the situation of isolation measures and vaccines in epidemic prevention and control, providing some reference for the formulation of epidemic prevention and control policies. © 2022 ACM.

12.
23rd ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2022 ; : 141-150, 2022.
Article in English | Scopus | ID: covidwho-2079040

ABSTRACT

We consider the problem of controlling a mutated diffusion process with an unknown mutation time. The problem is formulated as the quickest intervention problem with the mutation modeled by a change-point, which is a generalization of the quickest change-point detection (QCD). Our goal is to intervene in the mutated process as soon as possible while maintaining a low intervention cost with optimally chosen intervention actions. This model and the proposed algorithms can be applied to pandemic prevention (such as Covid-19) or misinformation containment. We formulate the problem as a partially observed Markov decision process (POMDP) and convert it to an MDP through the belief state of the change-point. We first propose a grid-approximation approach to calculate the optimal intervention policy, whose computational complexity could be very high when the number of grids is large. In order to reduce the computational complexity, we further propose a low-complexity threshold-based policy through the analysis of the first-order approximation of the value functions in the "local intervention"regime. Simulation results show the low-complexity algorithm has a similar performance as the grid-approximation approach and both perform much better than the QCD-based algorithms. © 2022 ACM.

13.
International Journal of Radiation Research ; 20(3):579-585, 2022.
Article in English | ProQuest Central | ID: covidwho-2026842
14.
China Biotechnology ; 42(5):124-138, 2022.
Article in Chinese | Scopus | ID: covidwho-2025661

ABSTRACT

Since the outbreak of novel coronavirus disease in late 2019, it has been a global public safety emergency to efficiently prevent and control the epidemic. Vaccine is one of the means to effectively prevent the virus from infecting humans, protect high-risk groups from rapid disease progression and minimize further spread of the virus-caused epidemic. Subunit vaccine is a safe and effective strategy that contains recombinant protein antigens of specific viral components and vaccine adjuvant that helps increasing the immunogenicity of the antigen. Since the specific immunogenic viral antigen can activate the immune system, which thus produces antibodies against immunodominant epitopes on the surface of the protein antigen, it offers subunit vaccine a high degree of protection and safety. The major severe acute respiratory symptom coronavirus 2 (SARS-CoV-2) subunit vaccines that have been marketed and are currently in the clinical stage are reviewed. The design concepts of various antigens and types of vaccine adjuvants, the protective capacity, and the research progress of subunit vaccine candidates are introduced. The applications and technical advantages of subunit vaccine are analyzed. This review is expected to provide suggestions for subunit vaccine development and global epidemic prevention and control. © 2022, China Biotechnology. All rights reserved.

15.
Asian Pacific Journal of Tropical Medicine ; 15(6):239-240, 2022.
Article in English | EMBASE | ID: covidwho-2006296
16.
Hong Kong Journal of Paediatrics ; 27(1):62, 2022.
Article in English | EMBASE | ID: covidwho-2003513

ABSTRACT

Aim: To discuss and share experiences in implementing Family centered care (FCC) models in Hong Kong - Shenzhen Hospital (HKU-SZH). Met hods: At present, FCC has not been wel l implemented in China and most NICU adopt closed management. Since December 2013, our department has introduced the FCC concept and implemented 24-hour opening ward, providing family members with a series of services including ward rounds, progressive health education, palliative care, breast-feeding, cold chain support of breast milk, breast milk bank, family visit, followup after discharge, and mutual support group for family members. The above services were maintained during the COVID-19 period. Results: 10,615 newborns were treated from December 2013 to December 2020, the minimum gestational age of preterm infants treated successfully was 22+6 weeks and the minimum weight was 500g. The patient satisfaction rate in 2020 was 99.9%, and the average breastfeeding rate in 2020 was 84% while 83.4% of full-term infants and 90.2% of premature infants were breast-fed. (A multi-center survey of 974 cases of nutrition-related status of preterm infants in NICU in China reported that 13.6% of preterm infants were breast-fed during 2005-2006) The nosocomial infection rate from 2014 to 2020 was controlled between 0.41% and 2.02%. Literature showed that the incidence rate of nosocomial infection in neonatal care units of 17 grade A general hospitals in China from 2013 to 2014 was 3.35%. Conclusion: An open NICU based on the FCC concept is feasible and contributes to increased breastfeeding rates and patient satisfaction without increasing the incidence of nosocomial infections.

17.
Journal of Hepatology ; 77:S871-S872, 2022.
Article in English | EMBASE | ID: covidwho-1996648

ABSTRACT

Background and aims: To evaluate the safety, pharmacokinetics (PK) and antiviral activity of ALG-010133, a STOPS molecule designed to reduce hepatitis B S-antigen (HBsAg) in chronic hepatitis B (CHB) patients. Method: This was a 3-part, multicenter, double-blind, randomized, placebo-controlled study. In Parts 1 and 2, single and multiple subcutaneous (SC) doses of ALG-010133were generallywell tolerated in healthy volunteers (Gane et al, EASL 2021). Part 3 evaluatedweekly SC doses of ALG-010133 or placebo × 12 weeks in virologically suppressed Hepatitis B e-antigen (HBeAg) negative CHB subjects (N = 10/cohort;8 active:2 placebo). Reported here are preliminary blinded Part 3 safety, PK, and antiviral data;unblinded data will be presented at the conference. Results: 31 CHB subjects completed dosing and follow-up in Cohorts 1 (120 mg;N = 10), 2. (200 mg;N = 10), and 3 (400 mg;N = 11). Most subjects were male (61%) and 48% were white, with mean age 48 years, mean BMI 26.1 kg/m2 and baseline HBsAg across cohorts of 3.6 to 3.7 log10 IU/ ml. Therewas 1 unrelated serious treatment emergent adverse event (TEAE) (hospitalization for orchitis) and 1 unrelated TEAE (COVID-19 infection) resulting in premature study drug discontinuation. All TEAEs were Grade 1 or 2 in severity, except for 1 Grade 3 TEAE of injection site erythema (severity based only on surface area criteria of ≥100 cm2;required no treatment and resolved despite continued study drug dosing) and the aforementioned TEAE of orchitis (Grade 3). There was no dose relationship to severity or frequency for any TEAE. The most common (≥3 subjects) TEAEs were injection site erythema (n = 5), increased ALT (n = 4), injection site bruising (n = 4), increased AST (n = 3), and injection site pruritus (n = 3);none were assessed as clinically concerning. Although treatment-emergent ALT and AST elevations (n = 13) were observed, all were Grade 1 (<2.5x upper limit of normal [ULN]) or 2 (≥2.5 to <5x ULN) and none led to premature study drug discontinuation or were associated with symptoms or evidence of liver dysfunction. There were no other clinically significant lab abnormalities. No clinically significant physical examinations, vital signs, or ECG abnormalities were reported. Plasma ALG-010133 exposures increased more than dose proportionally between the 120 to 400 mg dose levels, with moderate variability and minimal accumulation. Compared to baseline, the magnitude of HBsAg decline at Week 12 was <0.1 log10 IU/ml for placebo and across all ALG-010133 dose levels, including the projected efficacious dose level of 400 mg (estimated to maintain total liver exposures >3x EC90 for HBsAg inhibition). Conclusion: ALG-010133 was safe and well tolerated with predictable PK properties when given to CHB subjects as multiple SC doses of up to 400 mg. No meaningful HBsAg reduction was observed across all cohorts. Further clinical development of ALG-010133 has been discontinued.

18.
4th International Conference on Frontiers of Biological Sciences and Engineering, FBSE 2021 ; 2511, 2022.
Article in English | Scopus | ID: covidwho-1991750

ABSTRACT

SARS-Cov-2, a new strain of coronavirus that has never been found in humans before, has become one of the biggest public health issues in the 21st century. By March 2021, more than 100 million people around the world had been diagnosed with the disease. Confirmed cases of COVID-19 have ranged from mild symptoms to severe or even fatal. In the early stage of the disease, fever, fatigue, dry cough is the main clinical manifestations. About half of the patients developed dyspnea more than one week later, and the severe cases rapidly progressed to acute respiratory distress syndrome. Thus, the development of the COVID-19 vaccine is important because of the impact and damage caused by the virus worldwide. This paper will first introduce some information related to the vaccine, such as the safety and efficacy of the vaccine. Then, It will illustrate data on some COVID-19 vaccines that are on the market or still in development with comparison and analysis. © 2022 Author(s).

19.
Cmes-Computer Modeling in Engineering & Sciences ; 132(3):845-863, 2022.
Article in English | Web of Science | ID: covidwho-1979956

ABSTRACT

Personal protective equipment (PPE) donning detection for medical staff is a key link of medical operation safety guarantee and is of great significance to combat COVID-19. However, the lack of dedicated datasets makes the scarce research on intelligence monitoring of workers??? PPE use in the field of healthcare. In this paper, we construct a dress codes dataset for medical staff under the epidemic. And based on this, we propose a PPE donning automatic detection approach using deep learning. With the participation of health care personnel, we organize 6 volunteers dressed in different combinations of PPE to simulate more dress situations in the preset structured environment, and an effective and robust dataset is constructed with a total of 5233 preprocessed images. Starting from the task???s dual requirements for speed and accuracy, we use the YOLOv4 convolutional neural network as our learning model to judge whether the donning of different PPE classes corresponds to the body parts of the medical staff meets the dress codes to ensure their self-protection safety. Experimental results show that compared with three typical deep -learning-based detection models, our method achieves a relatively optimal balance while ensuring high detection accuracy (84.14%), with faster processing time (42.02 ms) after the average analysis of 17 classes of PPE donning situation. Overall, this research focuses on the automatic detection of worker safety protection for the first time in healthcare, which will help to improve its technical level of risk management and the ability to respond to potentially hazardous events.

20.
Neurology ; 98(18 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1925587

ABSTRACT

Objective: Our objective was to determine whether AD increases COVID-19 case fatality rate (CFR). Background: Previous studies have identified dementia as a risk factor for death from coronavirus disease 2019 (COVID-19). However, it is unclear whether Alzheimer's disease (AD) is an independent risk factor for COVID-19 mortality. Design/Methods: In a retrospective cohort study, we identified 387,841 COVID-19 patientes through TriNetX, and performed a multivariable logistic regression to determine the odds ratio of dying from COVID-19 between patients with and without AD. We accounted for differences between cohorts in three ways. First, we included age, gender, race, ethnicity, and 30 comorbidities from the Elixhauser comorbidity index in our regression. Second, we matched each AD COVID-19 case to control COVID-19 cases with the same age, gender, race, and Elixhauser Comorbidity Index, and then performed conditional logistic regression to account for residual confounding. Third, we performed propensity score matching followed by conditional logistic regression. We extended this analysis to vascular dementia, dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD). Results: We found that AD patients had higher odds of dying from COVID-19 compared to patients without AD (Odds Ratio(OR): 1.20, 95% confidence interval(CI): 1.09-1.32, p<0.001). This result is corroborated by conditional logistic regression analyses with exact-matching and propensity score matching. Interestingly, we did not observe increased mortality from COVID-19 among patients with vascular dementia (OR: 0.99, 95% CI: 0.88-1.10, p=0.83), DLB or FTD. Conclusions: AD increases CFR associated with COVID-19, though vascular dementia does not. These data are relevant to the evolving global COVID-19 pandemic and future pandemics.

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