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  1. Article ; Online: Identifying signs and symptoms of AL amyloidosis in electronic health records using natural language processing, diagnosis codes, and manually abstracted registry data.

    Silvert, Eli / Hester, Laura / Ramudu, Eshwan / Pawlowski, Colin / Kranenburg, Britte / Buadi, Francis / Muchtar, Eli / Khaled, Samer / Tran, Namphuong / Soundararajan, Venky / Khan, Najat / Gertz, Morie / Dispenzieri, Angela

    American journal of hematology

    2023  Volume 98, Issue 9, Page(s) E255–E258

    MeSH term(s) Humans ; Electronic Health Records ; Natural Language Processing ; Immunoglobulin Light-chain Amyloidosis/diagnosis ; Routinely Collected Health Data ; Algorithms
    Language English
    Publishing date 2023-07-04
    Publishing country United States
    Document type Letter ; Research Support, Non-U.S. Gov't
    ZDB-ID 196767-8
    ISSN 1096-8652 ; 0361-8609
    ISSN (online) 1096-8652
    ISSN 0361-8609
    DOI 10.1002/ajh.27019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Retrospective study of propionic acidemia using natural language processing in Mayo Clinic electronic health record data.

    Barman, Hannah / Sikirica, Vanja / Carlson, Katherine / Silvert, Eli / Carlson, Katherine Brewer / Boyer, Suzanne / Glaser, Ruchira / Morava, Eva / Wagner, Tyler / Lanpher, Brendan

    Molecular genetics and metabolism

    2023  Volume 140, Issue 3, Page(s) 107695

    Abstract: Background: Propionic acidemia (PA) is a rare autosomal recessive organic acidemia that classically presents within the first days of life with a metabolic crisis or via newborn screening and is confirmed with laboratory tests. Limited data exist on the ...

    Abstract Background: Propionic acidemia (PA) is a rare autosomal recessive organic acidemia that classically presents within the first days of life with a metabolic crisis or via newborn screening and is confirmed with laboratory tests. Limited data exist on the natural history of patients with PA describing presentation, treatments, and clinical outcomes.
    Objective: To retrospectively describe the natural history of patients with PA in a clinical setting from a real-world database using both structured and unstructured electronic health record (EHR) data using novel data extraction techniques in a unique care setting.
    Design/methods: This retrospective study used EHR data to identify patients with PA seen at the Mayo Clinic. Unstructured clinical text (medical notes, pathology reports) were analyzed using augmented curation natural language processing models to enhance analysis of data extracted by structured data fields (International Classification of Diseases 9th or 10th revision [ICD-9/-10] codes, Current Procedural Terminology [CPT] codes, and medication orders). De-identified health records were also manually reviewed by clinical scientists to ensure data accuracy and completeness. The index date was defined as the patient's date of PA diagnosis at the Mayo Clinic. Results were reported as aggregate descriptive statistics relative to patients' index dates. Complications, therapeutic interventions, laboratory tests, procedures, and hospitalization encounters related to PA were described at and within 6 months of the patient's index date, and from medical history available before the index date.
    Results: In total, 13 patients with PA were identified, with visits occurring from 1998 to 2022. Age at diagnosis ranged from birth to 3 years; age at initial evaluation at the Mayo Clinic ranged from 3 days to 28 years. The mean number of Mayo Clinic outpatient visits was 31 (median duration of care, 2 years). PA-related complications were documented in 85% of patients and included nutritional difficulties (46%), metabolic decompensation events (MDEs; 38%), neurologic abnormalities (38%), and cardiomyopathy (7%). One pair of affected siblings had mild symptoms and no complications or MDEs. All 5 patients with a history of MDEs presented with developmental delays. Among patients with MDEs, the mean frequency of outpatient clinical care visits was 10 per year, and 3 patients required inpatient hospitalization (mean duration, 16 days). The incidence of severe complications was higher among patients with MDEs than those without MDEs. Of the patients with MDEs, 2 experienced crises while receiving treatment at the Mayo Clinic, with 9 total MDEs occurring between the 2 patients. Symptoms at presentation included hyperammonemia (78%), fever and/or decreased nutritional intake (67%), hyperglycemia/hypoglycemia (56%), intercurrent upper respiratory infection and/or lethargy (44%), constipation (33%), altered mental status (33%), and cough (33%).
    Conclusions: This study highlights the range and frequency of clinical outcomes experienced by patients with PA and demonstrates the clinical burden of MDEs.
    MeSH term(s) Infant, Newborn ; Humans ; Child, Preschool ; Propionic Acidemia/complications ; Propionic Acidemia/diagnosis ; Propionic Acidemia/epidemiology ; Retrospective Studies ; Electronic Health Records ; Natural Language Processing ; Neonatal Screening/methods
    Language English
    Publishing date 2023-09-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1418518-0
    ISSN 1096-7206 ; 1096-7192
    ISSN (online) 1096-7206
    ISSN 1096-7192
    DOI 10.1016/j.ymgme.2023.107695
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Expanding repertoire of SARS-CoV-2 deletion mutations contributes to evolution of highly transmissible variants.

    Venkatakrishnan, A J / Anand, Praveen / Lenehan, Patrick J / Ghosh, Pritha / Suratekar, Rohit / Silvert, Eli / Pawlowski, Colin / Siroha, Abhishek / Chowdhury, Dibyendu Roy / O'Horo, John C / Yao, Joseph D / Pritt, Bobbi S / Norgan, Andrew P / Hurt, Ryan T / Badley, Andrew D / Halamka, John / Soundararajan, Venky

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 257

    Abstract: The emergence of highly transmissible SARS-CoV-2 variants and vaccine breakthrough infections globally mandated the characterization of the immuno-evasive features of SARS-CoV-2. Here, we systematically analyzed 2.13 million SARS-CoV-2 genomes from 188 ... ...

    Abstract The emergence of highly transmissible SARS-CoV-2 variants and vaccine breakthrough infections globally mandated the characterization of the immuno-evasive features of SARS-CoV-2. Here, we systematically analyzed 2.13 million SARS-CoV-2 genomes from 188 countries/territories (up to June 2021) and performed whole-genome viral sequencing from 102 COVID-19 patients, including 43 vaccine breakthrough infections. We identified 92 Spike protein mutations that increased in prevalence during at least one surge in SARS-CoV-2 test positivity in any country over a 3-month window. Deletions in the Spike protein N-terminal domain were highly enriched for these 'surge-associated mutations' (Odds Ratio = 14.19, 95% CI 6.15-32.75, p value = 3.41 × 10
    MeSH term(s) Humans ; SARS-CoV-2/genetics ; COVID-19/epidemiology ; COVID-19/genetics ; Spike Glycoprotein, Coronavirus/genetics ; Breakthrough Infections ; Mutation ; Sequence Deletion ; Vaccines
    Chemical Substances Spike Glycoprotein, Coronavirus ; Vaccines ; spike protein, SARS-CoV-2
    Language English
    Publishing date 2023-01-05
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-26646-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes.

    Pawlowski, Colin / Silvert, Eli / O'Horo, John C / Lenehan, Patrick J / Challener, Doug / Gnass, Esteban / Murugadoss, Karthik / Ross, Jason / Speicher, Leigh / Geyer, Holly / Venkatakrishnan, A J / Badley, Andrew D / Soundararajan, Venky

    PNAS nexus

    2022  Volume 1, Issue 3, Page(s) pgac071

    Abstract: Case reports of patients infected with COVID-19 and influenza virus ("flurona") have raised questions around the prevalence and severity of coinfection. Using data ... ...

    Abstract Case reports of patients infected with COVID-19 and influenza virus ("flurona") have raised questions around the prevalence and severity of coinfection. Using data from
    Language English
    Publishing date 2022-07-04
    Publishing country England
    Document type Journal Article
    ISSN 2752-6542
    ISSN (online) 2752-6542
    DOI 10.1093/pnasnexus/pgac071
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A deep learning framework for predicting the neutralizing activity of COVID-19 therapeutics and vaccines against evolving SARS-CoV-2 variants

    Matson, Robert P / Comba, Isin Y / Silvert, Eli / Niesen, Michiel JM / Murugadoss, Karthik / Padwardhan, Dhruti / Suratekar, Rohit / Goel, Elizabeth-Grace / Poelaert, Brittany J / Wan, Kanny / Brimacombe, Kyle R / Venkatakrishnan, AJ / Soundararajan, Venky

    bioRxiv

    Abstract: Understanding how viral variants evade neutralization is crucial for improving antibody-based treatments, especially with rapidly evolving viruses like SARS-CoV-2. Yet, conventional assays are limited in the face of rapid viral evolution, relying on a ... ...

    Abstract Understanding how viral variants evade neutralization is crucial for improving antibody-based treatments, especially with rapidly evolving viruses like SARS-CoV-2. Yet, conventional assays are limited in the face of rapid viral evolution, relying on a narrow set of viral isolates, and falling short in capturing the full spectrum of variants. To address this, we have developed a deep learning approach to predict changes in neutralizing antibody activity of COVID-19 therapeutics and vaccines against emerging viral variants. First, we trained a variational autoencoder (VAE) using all 67,885 unique SARS-CoV-2 spike protein sequences from the NCBI virus (up to October 31, 2022) database to encode spike protein variants into a latent space. Using this VAE and a curated dataset of 7,069 in vitro assay data points from the NCATS OpenData Portal, we trained a neural network regression model to predict fold changes in neutralizing activity of 40 COVID-19 therapeutics and vaccines against spike protein sequence variants, relative to their neutralizing activity against the ancestral strain (Wuhan-Hu-1). Our model also employs Bayesian inference to quantify prediction uncertainty, providing more nuanced and informative estimates. To validate the model9s predictive capacity, we assessed its performance on a test set of in vitro assay data collected up to eight months after the data included in the model training (N = 980). The model accurately predicted fold changes in neutralizing activity for this prospective dataset, with an R2 of 0.77. Expanding our methodology to include all available data from NCBI virus and NCATS OpenData Portal up to date, we assessed predicted changes in activity for current COVID-19 monoclonal antibodies and vaccines against newly identified SARS-CoV-2 lineages. Our predictions suggest that current therapeutic and vaccine-induced antibodies will have significantly reduced activity against newer XBB descendants, notably EG.5, FL.1.5.1, and XBB.1.16. Using the model, we were able to primarily attribute the observed predicted loss in activity to the F456L spike mutation found in EG.5 and FL.1.5.1 sequences. Conversely, mRNA-bivalent vaccines are predicted to be less susceptible to the recent BA.2.86 variant compared to new XBB descendants. These findings align closely with recent research, underscoring the potential of deep learning in shaping therapeutic and vaccine strategies for emerging viral variants.
    Keywords covid19
    Language English
    Publishing date 2023-10-26
    Publisher Cold Spring Harbor Laboratory
    Document type Article ; Online
    DOI 10.1101/2023.10.24.563847
    Database COVID19

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  6. Article ; Online: Surveillance of Safety of 3 Doses of COVID-19 mRNA Vaccination Using Electronic Health Records.

    Niesen, Michiel J M / Pawlowski, Colin / O'Horo, John C / Challener, Doug W / Silvert, Eli / Donadio, Greg / Lenehan, Patrick J / Virk, Abinash / Swift, Melanie D / Speicher, Leigh L / Gordon, Joel E / Geyer, Holly L / Halamka, John D / Venkatakrishnan, A J / Soundararajan, Venky / Badley, Andrew D

    JAMA network open

    2022  Volume 5, Issue 4, Page(s) e227038

    Abstract: Importance: Recent reports on waning of COVID-19 vaccine-induced immunity have led to the approval and rollout of additional doses and booster vaccinations. Individuals at increased risk of SARS-CoV-2 infection are receiving additional vaccine doses in ... ...

    Abstract Importance: Recent reports on waning of COVID-19 vaccine-induced immunity have led to the approval and rollout of additional doses and booster vaccinations. Individuals at increased risk of SARS-CoV-2 infection are receiving additional vaccine doses in addition to the regimen that was tested in clinical trials. Risks and adverse event profiles associated with additional vaccine doses are currently not well understood.
    Objective: To evaluate the safety of third-dose vaccination with US Food and Drug Administration (FDA)-approved COVID-19 mRNA vaccines.
    Design, setting, and participants: This cohort study was conducted using electronic health record (EHR) data from December 2020 to October 2021 from the multistate Mayo Clinic Enterprise. Participants included all 47 999 individuals receiving 3-dose COVID-19 mRNA vaccines within the study setting who met study inclusion criteria. Participants were divided into 2 cohorts by vaccine brand administered and served as their own control groups, with no comparison made between cohorts. Data were analyzed from September through November 2021.
    Exposures: Three doses of an FDA-authorized COVID-19 mRNA vaccine, BNT162b2 or mRNA-1273.
    Main outcomes and measures: Vaccine-associated adverse events were assessed via EHR report. Adverse event risk was quantified using the percentage of study participants who reported the adverse event within 14 days after each vaccine dose and during a 14-day control period, immediately preceding the first vaccine dose.
    Results: Among 47 999 individuals who received 3-dose COVID-19 mRNA vaccines, 38 094 individuals (21 835 [57.3%] women; median [IQR] age, 67.4 [52.5-76.5] years) received BNT162b2 (79.4%) and 9905 individuals (5099 [51.5%] women; median [IQR] age, 67.7 [59.5-73.9] years) received mRNA-1273 (20.6%). Reporting of severe adverse events remained low after the third vaccine dose, with rates of pericarditis (0.01%; 95% CI, 0%-0.02%), anaphylaxis (0%; 95% CI, 0%-0.01%), myocarditis (0%; 95% CI, 0%-0.01%), and cerebral venous sinus thrombosis (no individuals) consistent with results from earlier studies. Significantly more individuals reported low-severity adverse events after the third dose compared with after the second dose, including fatigue (2360 individuals [4.92%] vs 1665 individuals [3.47%]; P < .001), lymphadenopathy (1387 individuals [2.89%] vs 995 individuals [2.07%]; P < .001), nausea (1259 individuals [2.62%] vs 979 individuals [2.04%]; P < .001), headache (1185 individuals [2.47%] vs 992 individuals [2.07%]; P < .001), arthralgia (1019 individuals [2.12%] vs 816 individuals [1.70%]; P < .001), myalgia (956 individuals [1.99%] vs 784 individuals [1.63%]; P < .001), diarrhea (817 individuals [1.70%] vs 595 individuals [1.24%]; P < .001), fever (533 individuals [1.11%] vs 391 individuals [0.81%]; P < .001), vomiting (528 individuals [1.10%] vs 385 individuals [0.80%]; P < .001), and chills (224 individuals [0.47%] vs 175 individuals [0.36%]; P = .01).
    Conclusions and relevance: This study found that although third-dose vaccination against SARS-CoV-2 infection was associated with increased reporting of low-severity adverse events, risk of severe adverse events remained comparable with risk associated with the standard 2-dose regime. These findings suggest the safety of third vaccination doses in individuals who were eligible for booster vaccination at the time of this study.
    MeSH term(s) Aged ; BNT162 Vaccine ; COVID-19/prevention & control ; COVID-19 Vaccines/adverse effects ; Cohort Studies ; Electronic Health Records ; Female ; Humans ; Male ; RNA, Messenger ; SARS-CoV-2 ; Vaccination/adverse effects ; Vaccines, Synthetic ; mRNA Vaccines
    Chemical Substances COVID-19 Vaccines ; RNA, Messenger ; Vaccines, Synthetic ; mRNA Vaccines ; BNT162 Vaccine (N38TVC63NU)
    Language English
    Publishing date 2022-04-01
    Publishing country United States
    Document type Journal Article
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2022.7038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Comparison of two highly-effective mRNA vaccines for COVID-19 during periods of Alpha and Delta variant prevalence.

    Puranik, Arjun / Lenehan, Patrick J / Silvert, Eli / Niesen, Michiel J M / Corchado-Garcia, Juan / O'Horo, John C / Virk, Abinash / Swift, Melanie D / Halamka, John / Badley, Andrew D / Venkatakrishnan, A J / Soundararajan, Venky

    medRxiv : the preprint server for health sciences

    2021  

    Abstract: Although clinical trials and real-world studies have affirmed the effectiveness and safety of the FDA-authorized COVID-19 vaccines, reports of breakthrough infections and persistent emergence of new variants highlight the need to vigilantly monitor the ... ...

    Abstract Although clinical trials and real-world studies have affirmed the effectiveness and safety of the FDA-authorized COVID-19 vaccines, reports of breakthrough infections and persistent emergence of new variants highlight the need to vigilantly monitor the effectiveness of these vaccines. Here we compare the effectiveness of two full-length Spike protein-encoding mRNA vaccines from Moderna (mRNA-1273) and Pfizer/BioNTech (BNT162b2) in the Mayo Clinic Health System over time from January to July 2021, during which either the Alpha or Delta variant was highly prevalent. We defined cohorts of vaccinated and unvaccinated individuals from Minnesota (n = 25,589 each) matched on age, sex, race, history of prior SARS-CoV-2 PCR testing, and date of full vaccination. Both vaccines were highly effective during this study period against SARS-CoV-2 infection (mRNA-1273: 86%, 95%CI: 81-90.6%; BNT162b2: 76%, 95%CI: 69-81%) and COVID-19 associated hospitalization (mRNA-1273: 91.6%, 95% CI: 81-97%; BNT162b2: 85%, 95% CI: 73-93%). In July, vaccine effectiveness against hospitalization has remained high (mRNA-1273: 81%, 95% CI: 33-96.3%; BNT162b2: 75%, 95% CI: 24-93.9%), but effectiveness against infection was lower for both vaccines (mRNA-1273: 76%, 95% CI: 58-87%; BNT162b2: 42%, 95% CI: 13-62%), with a more pronounced reduction for BNT162b2. Notably, the Delta variant prevalence in Minnesota increased from 0.7% in May to over 70% in July whereas the Alpha variant prevalence decreased from 85% to 13% over the same time period. Comparing rates of infection between matched individuals fully vaccinated with mRNA-1273 versus BNT162b2 across Mayo Clinic Health System sites in multiple states (Minnesota, Wisconsin, Arizona, Florida, and Iowa), mRNA-1273 conferred a two-fold risk reduction against breakthrough infection compared to BNT162b2 (IRR = 0.50, 95% CI: 0.39-0.64). In Florida, which is currently experiencing its largest COVID-19 surge to date, the risk of infection in July after full vaccination with mRNA-1273 was about 60% lower than after full vaccination with BNT162b2 (IRR: 0.39, 95% CI: 0.24-0.62). Our observational study highlights that while both mRNA COVID-19 vaccines strongly protect against infection and severe disease, further evaluation of mechanisms underlying differences in their effectiveness such as dosing regimens and vaccine composition are warranted.
    Language English
    Publishing date 2021-08-21
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2021.08.06.21261707
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Comparative effectiveness of mRNA-1273 and BNT162b2 against symptomatic SARS-CoV-2 infection.

    Puranik, Arjun / Lenehan, Patrick J / Silvert, Eli / Niesen, Michiel J M / Corchado-Garcia, Juan / O'Horo, John C / Virk, Abinash / Swift, Melanie D / Gordon, Joel E / Speicher, Leigh Lewis / Geyer, Holly L / Kremers, Walter / Halamka, John / Badley, Andrew D / Venkatakrishnan, A J / Soundararajan, Venky

    Med (New York, N.Y.)

    2021  Volume 3, Issue 1, Page(s) 28–41.e8

    Abstract: Background: mRNA coronavirus disease 2019 (COVID-19) vaccines are safe and effective, but increasing reports of breakthrough infections highlight the need to vigilantly monitor and compare the effectiveness of these vaccines.: Methods: We ... ...

    Abstract Background: mRNA coronavirus disease 2019 (COVID-19) vaccines are safe and effective, but increasing reports of breakthrough infections highlight the need to vigilantly monitor and compare the effectiveness of these vaccines.
    Methods: We retrospectively compared protection against symptomatic infection conferred by mRNA-1273 and BNT162b2 at Mayo Clinic sites from December 2020 to September 2021. We used a test-negative case-control design to estimate vaccine effectiveness (VE) and to compare the odds of symptomatic infection after full vaccination with mRNA-1273 versus BNT162b2, while adjusting for age, sex, race, ethnicity, geography, comorbidities, and calendar time of vaccination and testing.
    Findings: Both vaccines were highly effective over the study duration (VE
    Conclusions: Both mRNA-1273 and BNT162b2 strongly protect against symptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. It is imperative to continue monitoring and comparing available vaccines over time and with respect to emerging variants to inform public and global health decisions.
    Funding: This study was funded by nference.
    MeSH term(s) 2019-nCoV Vaccine mRNA-1273 ; BNT162 Vaccine ; COVID-19/prevention & control ; COVID-19 Vaccines/therapeutic use ; Humans ; Retrospective Studies ; SARS-CoV-2/genetics
    Chemical Substances COVID-19 Vaccines ; 2019-nCoV Vaccine mRNA-1273 (EPK39PL4R4) ; BNT162 Vaccine (N38TVC63NU)
    Language English
    Publishing date 2021-12-11
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ISSN 2666-6340
    ISSN (online) 2666-6340
    DOI 10.1016/j.medj.2021.12.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Comparison of two highly-effective mRNA vaccines for COVID-19 during periods of Alpha and Delta variant prevalence

    Puranik, Arjun / Lenehan, Patrick J / Silvert, Eli / Niesen, Michiel JM / Corchado-Garcia, Juan / O'Horo, John C / Virk, Abinash / Swift, Melanie D / Halamka, John / Badley, Andrew D / Venkatakrishnan, AJ / Soundararajan, Venky

    medRxiv

    Abstract: Although clinical trials and real-world studies have affirmed the effectiveness and safety of the FDA-authorized COVID-19 vaccines, reports of breakthrough infections and persistent emergence of new variants highlight the need to vigilantly monitor the ... ...

    Abstract Although clinical trials and real-world studies have affirmed the effectiveness and safety of the FDA-authorized COVID-19 vaccines, reports of breakthrough infections and persistent emergence of new variants highlight the need to vigilantly monitor the effectiveness of these vaccines. Here we compare the effectiveness of two full-length Spike protein-encoding mRNA vaccines from Moderna (mRNA-1273) and Pfizer/BioNTech (BNT162b2) in the Mayo Clinic Health System over time from January to July 2021, during which either the Alpha or Delta variant was highly prevalent. We defined cohorts of vaccinated and unvaccinated individuals from Minnesota (n = 25,589 each) matched on age, sex, race, history of prior SARS-CoV-2 PCR testing, and date of full vaccination. Both vaccines were highly effective during this study period against SARS-CoV-2 infection (mRNA-1273: 86%, 95%CI: 81-90.6%; BNT162b2: 76%, 95%CI: 69-81%) and COVID-19 associated hospitalization (mRNA-1273: 91.6%, 95% CI: 81-97%; BNT162b2: 85%, 95% CI: 73-93%). However, in July, the effectiveness against infection was considerably lower for mRNA-1273 (76%, 95% CI: 58-87%) with an even more pronounced reduction in effectiveness for BNT162b2 (42%, 95% CI: 13-62%). Notably, the Delta variant prevalence in Minnesota increased from 0.7% in May to over 70% in July whereas the Alpha variant prevalence decreased from 85% to 13% over the same time period. Comparing rates of infection between matched individuals fully vaccinated with mRNA-1273 versus BNT162b2 across Mayo Clinic Health System sites in multiple states (Minnesota, Wisconsin, Arizona, Florida, and Iowa), mRNA-1273 conferred a two-fold risk reduction against breakthrough infection compared to BNT162b2 (IRR = 0.50, 95% CI: 0.39-0.64). In Florida, which is currently experiencing its largest COVID-19 surge to date, the risk of infection in July after full vaccination with mRNA-1273 was about 60% lower than after full vaccination with BNT162b2 (IRR: 0.39, 95% CI: 0.24-0.62). Our observational study highlights that while both mRNA COVID-19 vaccines strongly protect against infection and severe disease, further evaluation of mechanisms underlying differences in their effectiveness such as dosing regimens and vaccine composition are warranted.
    Keywords covid19
    Language English
    Publishing date 2021-08-08
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.08.06.21261707
    Database COVID19

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  10. Article ; Online: Female-male differences in COVID vaccine adverse events have precedence in seasonal flu shots: a potential link to sex-associated baseline gene expression patterns

    Venkatakrishnan, AJ / Kumar-M, Praveen / Silvert, Eli / Garcia-Rivera, Enrique / Szenk, Mariola / Suratekar, Rohit / Lenehan, Patrick / Lindemer, Emily / OHoro, John C / Williams, Amy W / Badley, Andrew D / Virk, Abinash / Swift, Melanie D / Gores, Gregory J / Soundararajan, Venky

    medRxiv

    Abstract: Nearly 150 million doses of FDA-authorized COVID vaccines have been administered in the United States. Sex-based differences of adverse events remain poorly understood, mandating the need for real-world investigation from Electronic Health Records (EHRs) ...

    Abstract Nearly 150 million doses of FDA-authorized COVID vaccines have been administered in the United States. Sex-based differences of adverse events remain poorly understood, mandating the need for real-world investigation from Electronic Health Records (EHRs) and broader epidemiological data sets. Based on an augmented curation of EHR clinical notes of 31,064 COVID-vaccinated individuals (19,321 females and 11,743 males) in the Mayo Clinic, we find that nausea and vomiting were documented significantly more frequently in females than males after both vaccine doses (nausea: RRDose 1 = 1.67, pDose 1 <0.001, RRDose 2 = 2.2, pDose 1 < 0.001; vomiting: RRDose 1 = 1.58, pDose 1 < 0.001, RRDose 2 = 1.88, pDose 1 = 3.4x10-2). Conversely, fever, fatigue, and lymphadenopathy were more common in males after the first dose vaccination (fever RR = 0.62; p = 8.65x10-3; fatigue RR = 0.86, p = 2.89x10-2; lymphadenopathy RR = 0.61, p = 3.45x10-3). Analysis of the Vaccine Adverse Events Reporting System (VAERS) database further confirms that nausea comprises a larger fraction of total reports among females than males (RR: 1.58; p<0.001), while fever comprises a larger fraction of total reports among males than females (RR: 0.84; p<0.001). Importantly, increased reporting of nausea and fever among females and males, respectively, is also observed for prior influenza vaccines in the VAERS database, establishing that these differences are not unique to the recently developed COVID-19 vaccines. Investigating the mechanistic basis underlying these clinical findings, an analysis of bulk RNA-sequencing data from 12,158 human blood samples (8626 female, 3532 male) reveals 85 genes that are not only significantly different in their gene expression between females and males at baseline, but also have established literature-based associations to COVID-19 as well as the vaccine-related adverse events of clinical consequence. The NLRP3 inflammasome and the NR3C1 glucocorticoid receptor emerge as particularly promising baseline links to sex-associated vaccine adverse events, warranting targeted investigation of these signaling pathways and associated cell types. From a public health standpoint, our clinical findings shall aid in educating patients on the sex-associated risks they should expect for COVID-19 vaccines and also promote better clinical management of vaccine-associated adverse events.
    Keywords covid19
    Language English
    Publishing date 2021-04-07
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.04.01.21254798
    Database COVID19

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