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1.
Leora I. Horwitz; Tanayott Thaweethai; Shari B. Brosnahan; Mine S. Cicek; Megan L. Fitzgerald; Jason D. Goldman; Rachel Hess; S. L. Hodder; Vanessa L. Jacoby; Michael R. Jordan; Jerry A. Krishnan; Adeyinka O. Laiyemo; Torri D. Metz; Lauren Nichols; Rachel E. Patzer; Anisha Sekar; Nora G. Singer; Lauren E. Stiles; Barbara S. Taylor; Shifa Ahmed; Heather A. Algren; Khamal Anglin; Lisa Aponte-Soto; Hassan Ashktorab; Ingrid V. Bassett; Brahmchetna Bedi; Nahid Bhadelia; Christian Bime; Marie-Abele C. Bind; Lora J. Black; Andra L. Blomkalns; Hassan Brim; Mario Castro; James Chan; Alexander W. Charney; Benjamin K. Chen; Li Qing Chen; Peter Chen; David Chestek; Lori B. Chibnik; Dominic C. Chow; Helen Y. Chu; Rebecca G. Clifton; Shelby Collins; Maged M. Costantine; Sushma K. Cribbs; Steven G. Deeks; John D. Dickinson; Sarah E. Donohue; Matthew S. Durstenfeld; Ivette F. Emery; Kristine M. Erlandson; Julio C. Facelli; Rachael Farah-Abraham; Aloke V. Finn; Melinda S. Fischer; Valerie J. Flaherman; Judes Fleurimont; Vivian Fonseca; Emily J. Gallagher; Jennifer C. Gander; Maria Laura Gennaro; Kelly S. Gibson; Minjoung Go; Steven N. Goodman; Joey P. Granger; Frank L. Greenway; John W. Hafner; Jenny E. Han; Michelle S. Harkins; Kristine S.P. Hauser; James R. Heath; Carla R. Hernandez; On Ho; Matthew K. Hoffman; Susan E. Hoover; Carol R. Horowitz; Harvey Hsu; Priscilla Y. Hsue; Brenna L. Hughes; Prasanna Jagannathan; Judith A. James; Janice John; Sarah Jolley; S. E. Judd; Joy J. Juskowich; Diane G. Kanjilal; Elizabeth W. Karlson; Stuart D. Katz; J. Daniel Kelly; Sara W. Kelly; Arthur Y. Kim; John P. Kirwan; Kenneth S. Knox; Andre Kumar; Michelle F. Lamendola-Essel; Margaret Lanca; Joyce K. Lee-lannotti; R. Craig Lefebvre; Bruce D. Levy; Janet Y. Lin; Brian P. Logarbo Jr.; Jennifer K. Logue; Michele T. Longo; Carlos A. Luciano; Karen Lutrick; Shahdi K. Malakooti; Gail Mallett; Gabrielle Maranga; Jai G. Marathe; Vincent C. Marconi; Gailen D. Marshall; Christopher F. Martin; Jeffrey N. Martin; Heidi T. May; Grace A. McComsey; Dylan McDonald; Hector Mendez-Figueroa; Lucio Miele; Murray A. Mittleman; Sindhu Mohandas; Christian Mouchati; Janet M. Mullington; Girish N Nadkarni; Erica R. Nahin; Robert B. Neuman; Lisa T. Newman; Amber Nguyen; Janko Z. Nikolich; Igho Ofotokun; Princess U. Ogbogu; Anna Palatnik; Kristy T.S. Palomares; Tanyalak Parimon; Samuel Parry; Sairam Parthasarathy; Thomas F. Patterson; Ann Pearman; Michael J. Peluso; Priscilla Pemu; Christian M. Pettker; Beth A. Plunkett; Kristen Pogreba-Brown; Athena Poppas; J. Zachary Porterfield; John G. Quigley; Davin K. Quinn; Hengameh Raissy; Candida J. Rebello; Uma M. Reddy; Rebecca Reece; Harrison T. Reeder; Franz P. Rischard; Johana M. Rosas; Clifford J. Rosen; Nadine G. Rouphae; Dwight J. Rouse; Adam M. Ruff; Christina Saint Jean; Grecio J. Sandoval; Jorge L. Santana; Shannon M. Schlater; Frank C. Sciurba; Caitlin Selvaggi; Sudha Seshadri; Howard D. Sesso; Dimpy P. Shah; Eyal Shemesh; Zaki A. Sherif; Daniel J. Shinnick; Hyagriv N. Simhan; Upinder Singh; Amber Sowles; Vignesh Subbian; Jun Sun; Mehul S. Suthar; Larissa J. Teunis; John M. Thorp Jr.; Amberly Ticotsky; Alan T. N. Tita; Robin Tragus; Katherine R. Tuttle; Alfredo E. Urdaneta; P. J. Utz; Timothy M. VanWagoner; Andrew Vasey; Suzanne D. Vernon; Crystal Vidal; Tiffany Walker; Honorine D. Ward; David E. Warren; Ryan M. Weeks; Steven J. Weiner; Jordan C. Weyer; Jennifer L. Wheeler; Sidney W. Whiteheart; Zanthia Wiley; Natasha J. Williams; Juan P. Wisnivesky; John C. Wood; Lynn M. Yee; Natalie M. Young; Sokratis N. Zisis; Andrea S. Foulkes; - Recover Initiative.
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.05.26.23290475

ABSTRACT

Importance: SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. Methods: RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged [≥]18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility- and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross-validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. Discussion: RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
2.
Clin Infect Dis ; 2022 Aug 17.
Article in English | MEDLINE | ID: covidwho-2319304
3.
1st International Conference on Computational Science and Technology, ICCST 2022 ; : 872-877, 2022.
Article in English | Scopus | ID: covidwho-2276725

ABSTRACT

In recent times the world has gone through a situation where the people were forced to be in a lockdown amidst the covid-19 pandemic. Various business fields were affected by this phenomenon, some business units have evolved through this staying at home and carrying the work culture. One of the most affected fields was education where the children were made to attend online classes and read from E-textbooks. People are being educated from various methods including offline classroom lectures, physical textbooks etc. The choice of learning methodology is dependent on an individual's access to various technologies, environment, and a person's surroundings. Augmented Reality (AR) is a technology that enables the superimposing of artificially made 3D models on top of reality. This paper describes Augmented Reality (AR), how it can be used for interactive education, and help children visualize the concepts for gaining an improved understanding over the educational concepts. © 2022 IEEE.

4.
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.04.24.23289025

ABSTRACT

ImportancePregnancy induces unique physiologic changes to the immune response and hormonal changes leading to plausible differences in the risk of developing post-acute sequelae of SARS-CoV-2 (PASC), or Long COVID. Exposure to SARS-CoV-2 during pregnancy may also have long-term ramifications for exposed offspring, and it is critical to evaluate the health outcomes of exposed children. The National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC aims to evaluate the long-term sequelae of SARS-CoV-2 infection in various populations. RECOVER- Pregnancy was designed specifically to address long-term outcomes in maternal-child dyads. MethodsRECOVER-Pregnancy cohort is a combined prospective and retrospective cohort that proposes to enroll 2,300 individuals with a pregnancy during the COVID-19 pandemic and their offspring exposed and unexposed in utero, including single and multiple gestations. Enrollment will occur both in person at 27 sites through the Eunice Kennedy Shriver National Institutes of Health Maternal-Fetal Medicine Units Network and remotely through national recruitment by the study team at the University of California San Francisco (UCSF). Adults with and without SARS-CoV-2 infection during pregnancy are eligible for enrollment in the pregnancy cohort and will follow the protocol for RECOVER-Adult including validated screening tools, laboratory analyses and symptom questionnaires followed by more in-depth phenotyping of PASC on a subset of the overall cohort. Offspring exposed and unexposed in utero to SARS-CoV-2 maternal infection will undergo screening tests for neurodevelopment and other health outcomes at 12, 18, 24, 36 and 48 months of age. Blood specimens will be collected at 24 months of age for SARS-CoV-2 antibody testing, storage and anticipated later analyses proposed by RECOVER and other investigators. DiscussionRECOVER-Pregnancy will address whether having SARS-CoV-2 during pregnancy modifies the risk factors, prevalence, and phenotype of PASC. The pregnancy cohort will also establish whether there are increased risks of adverse long-term outcomes among children exposed in utero. RegistrationNCT05172024


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
5.
Mater Today Proc ; 68: 1980-1987, 2022.
Article in English | MEDLINE | ID: covidwho-2116870

ABSTRACT

As a result of the COVID-19 epidemic, there is a growing demand for robots to perform various operations which include service bots, cleaning, and disinfection bots. Viral contamination has been one of the major causes of human fatality which has abruptly increased in this situation. Availability of existing technologies is always surpassed by an effective one so as is the UV-Bot developed in this project. This bot aims for a highly accurate percentage of up to 96.8% of germ clearance at pre-defined conditions which are user-friendly. Also, the robot is designed in a compact size and effective shape to achieve maximum efficiency. The robot is deployed in hospital pathway and rooms for disinfection whereas human detection and obstacle avoidance has been included with a custom-developed algorithm that supports autonomous navigation and corner tracking facility. The robot also supports live streaming of the disinfecting site with an emergency alarm and stop in human detection. This type of robot is highly capable of destroying viral infections at a particular point which is validated using Taguchi analysis and also the robot is 3D modelled and tested using static and dynamic obstacles. Thus UV-Bot is manually controllable or autonomous which uses the A* algorithm to store or retrieve the disinfecting site map which is recorded if used frequently.

6.
Materials today. Proceedings ; 2022.
Article in English | EuropePMC | ID: covidwho-2033983

ABSTRACT

As a result of the COVID-19 epidemic, there is a growing demand for robots to perform various operations which include service bots, cleaning, and disinfection bots. Viral contamination has been one of the major causes of human fatality which has abruptly increased in this situation. Availability of existing technologies is always surpassed by an effective one so as is the UV-Bot developed in this project. This bot aims for a highly accurate percentage of up to 96.8% of germ clearance at pre-defined conditions which are user-friendly. Also, the robot is designed in a compact size and effective shape to achieve maximum efficiency. The robot is deployed in hospital pathway and rooms for disinfection whereas human detection and obstacle avoidance has been included with a custom-developed algorithm that supports autonomous navigation and corner tracking facility. The robot also supports live streaming of the disinfecting site with an emergency alarm and stop in human detection. This type of robot is highly capable of destroying viral infections at a particular point which is validated using Taguchi analysis and also the robot is 3D modelled and tested using static and dynamic obstacles. Thus UV-Bot is manually controllable or autonomous which uses the A* algorithm to store or retrieve the disinfecting site map which is recorded if used frequently.

7.
J Am Coll Surg ; 235(2): 174-184, 2022 08 01.
Article in English | MEDLINE | ID: covidwho-2001543

ABSTRACT

BACKGROUND: During the coronavirus disease 2019 pandemic, national guidelines recommended that elective surgery for esophageal cancer be deferred by 3 months when hospital resources are limited. The impact of this delay on patient outcomes is unknown. We sought to evaluate the survival of patients with stage I and II/III esophageal cancer who undergo early vs delayed treatment. STUDY DESIGN: Using the National Cancer Database from 2010 to 2017, multivariable Cox proportional hazards modeling and propensity score-matched analysis were employed to compare survival of patients with stage I esophageal cancer who received early (0 to 4 weeks after diagnosis) vs delayed esophagectomy (12 to 16 weeks) and of patients with stage II/III esophageal cancer who-after receiving timely chemoradiation (0 to 4 weeks after diagnosis)-underwent early (9 to 17 weeks) vs delayed esophagectomy (21 to 29 weeks). RESULTS: For stage I esophageal cancer, 226 (41.7%) patients underwent early esophagectomy, and 316 (58.3%) patients underwent delayed esophagectomy. Propensity score matching created 2 groups of 134 patients with early or delayed esophagectomy, whose 5-year survival was comparable (hazard ratio [HR] 65.0% [95% confidence interval (CI) 55.2% to 73.2%] vs HR 65.1% [95% CI 55.6% to 73.1%], p = 0.50). For stage II/III esophageal cancer, 1,236 (86.1%) patients underwent early esophagectomy, and 200 (13.9%) underwent delayed esophagectomy. Propensity score matching created 2 groups of 130 patients; the early esophagectomy group had improved 5-year survival compared with the delayed esophagectomy group (HR 41.6% [95% CI 32.1% to 50.8%] vs HR 22.9% [95% CI 14.9% to 31.8%], p = 0.006). CONCLUSIONS: Early esophagectomy was associated with similar survival compared with delayed esophagectomy for patients with stage I esophageal cancer. For patients with stage II/III esophageal cancer, early esophagectomy was associated with improved survival relative to delayed esophagectomy.


Subject(s)
COVID-19 , Esophageal Neoplasms , COVID-19/epidemiology , Esophageal Neoplasms/pathology , Esophagectomy , Humans , Neoplasm Staging , Pandemics , Propensity Score , Retrospective Studies , Treatment Outcome
8.
Pathogens ; 10(10)2021 Oct 01.
Article in English | MEDLINE | ID: covidwho-1512526

ABSTRACT

Chlamydia trachomatis (Ct) causes the most prevalent bacterial sexually transmitted disease leading to ectopic pregnancy and infertility. Swine not only have many similarities to humans, but they are also susceptible to Ct. Despite these benefits and the ease of access to primary tissue from this food animal, in vitro research in swine has been underutilized. This study will provide basic understanding of the Ct host-pathogen interactions in porcine oviduct epithelial cells (pOECs)-the counterparts of human Fallopian tube epithelial cells. Using NanoString technology, flow cytometry, and confocal and transmission-electron microscopy, we studied the Ct developmental cycle in pOECs, the cellular immune response, and the expression and location of the tight junction protein claudin-4. We show that Ct productively completes its developmental cycle in pOECs and induces an immune response to Ct similar to human cells: Ct mainly induced the upregulation of interferon regulated genes and T-cell attracting chemokines. Furthermore, Ct infection induced an accumulation of claudin-4 in the Ct inclusion with a coinciding reduction of membrane-bound claudin-4. Downstream effects of the reduced membrane-bound claudin-4 expression could potentially include a reduction in tight-junction expression, impaired epithelial barrier function as well as increased susceptibility to co-infections. Thereby, this study justifies the investigation of the effect of Ct on tight junctions and the mucosal epithelial barrier function. Taken together, this study demonstrates that primary pOECs represent an excellent in vitro model for research into Ct pathogenesis, cell biology and immunity.

9.
Am J Obstet Gynecol MFM ; 2(4): 100246, 2020 11.
Article in English | MEDLINE | ID: covidwho-1064759

ABSTRACT

Background: Older age and medical comorbidities are identified risk factors for developing severe coronavirus disease 2019. However, there are limited data on risk stratification, clinical and laboratory course, and optimal management of coronavirus disease 2019 in pregnancy. Objective: Our study aimed to describe the clinical course of coronavirus disease 2019, effect of comorbidities on disease severity, laboratory trends, and pregnancy outcomes of symptomatic and asymptomatic severe acute respiratory syndrome coronavirus 2-positive pregnant women. Study Design: This is a case series of pregnant and postpartum women who received positive test results for severe acute respiratory syndrome coronavirus 2 between March 3, 2020, and May 11, 2020, within 3 hospitals of the Yale New Haven Health delivery network. Charts were reviewed for basic sociodemographic and prepregnancy characteristics, coronavirus disease 2019 course, laboratory values, and pregnancy outcomes. Results: Of the 1567 tested pregnant and postpartum women between March 3, 2020, and May 11, 2020, 9% (n=141) had a positive severe acute respiratory syndrome coronavirus 2 result. Hispanic women were overrepresented in the severe acute respiratory syndrome coronavirus 2-positive group (n=61; 43.8%). In addition, Hispanic ethnicity was associated with a higher rate of moderate and severe diseases than non-Hispanic (18% [11/61] vs 3.8% [3/78], respectively; odds ratio, 5.5; 95% confidence interval, 1.46-20.7; P=.01). Of note, 44 women (31.2%) were asymptomatic, 37 of whom (26.2%) were diagnosed on universal screening upon admission for delivery. Moreover, 59% (n=83) were diagnosed before delivery, 36% (n=51) upon presentation for childbirth, and 5% (n=7) after delivery. Severe disease was diagnosed in 6 cases (4.3%), and there was 1 maternal death. Obese women were more likely to develop moderate and severe diseases than nonobese women (16.4% [9/55] vs 3.8% [3/79]; odds ratio, 4.96; 95% confidence interval, 1.28-19.25; P=.02). Hypertensive disorders of pregnancy were diagnosed in 22.3% of women (17/77) who delivered after 20 weeks' gestation. Higher levels of C-reactive protein during antepartum coronavirus disease 2019-related admission were more common in women with worse clinical course; however, this association did not reach statistical significance. Conclusion: Coronavirus disease 2019 in pregnancy may result in severe disease and death. Hispanic women were more likely to receive a positive test result for severe acute respiratory syndrome 2 than other ethnic groups. Obesity and Hispanic ethnicity represent risk factors for moderate and severe diseases.


Subject(s)
COVID-19 , Communicable Disease Control , Health Status Disparities , Hospitalization/statistics & numerical data , Pregnancy Complications, Infectious , Adult , COVID-19/diagnosis , COVID-19/ethnology , COVID-19 Testing/methods , COVID-19 Testing/statistics & numerical data , Communicable Disease Control/methods , Communicable Disease Control/standards , Comorbidity , Ethnicity/statistics & numerical data , Female , Humans , Infant, Newborn , New York/epidemiology , Obstetrics and Gynecology Department, Hospital/statistics & numerical data , Pregnancy , Pregnancy Complications, Infectious/diagnosis , Pregnancy Complications, Infectious/ethnology , Pregnancy Outcome/epidemiology , Premature Birth/epidemiology , Risk Assessment , Risk Factors , SARS-CoV-2/isolation & purification
11.
J Clin Invest ; 130(9): 4947-4953, 2020 09 01.
Article in English | MEDLINE | ID: covidwho-611525

ABSTRACT

BACKGROUNDThe effects of the novel coronavirus disease 2019 (COVID-19) in pregnancy remain relatively unknown. We present a case of second trimester pregnancy with symptomatic COVID-19 complicated by severe preeclampsia and placental abruption.METHODSWe analyzed the placenta for the presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through molecular and immunohistochemical assays and by and electron microscopy and measured the maternal antibody response in the blood to this infection.RESULTSSARS-CoV-2 localized predominantly to syncytiotrophoblast cells at the materno-fetal interface of the placenta. Histological examination of the placenta revealed a dense macrophage infiltrate, but no evidence for the vasculopathy typically associated with preeclampsia.CONCLUSIONThis case demonstrates SARS-CoV-2 invasion of the placenta, highlighting the potential for severe morbidity among pregnant women with COVID-19.FUNDINGBeatrice Kleinberg Neuwirth Fund and Fast Grant Emergent Ventures funding from the Mercatus Center at George Mason University. The funding bodies did not have roles in the design of the study or data collection, analysis, and interpretation and played no role in writing the manuscript.


Subject(s)
Betacoronavirus , Coronavirus Infections/complications , Placenta/pathology , Placenta/virology , Pneumonia, Viral/complications , Pregnancy Complications, Infectious/etiology , Pregnancy Complications, Infectious/virology , Abortion, Therapeutic , Abruptio Placentae/etiology , Abruptio Placentae/pathology , Abruptio Placentae/virology , Adult , Betacoronavirus/genetics , Betacoronavirus/isolation & purification , Betacoronavirus/pathogenicity , COVID-19 , Coronavirus Infections/pathology , Coronavirus Infections/virology , Female , Humans , Microscopy, Electron, Transmission , Pandemics , Phylogeny , Pneumonia, Viral/pathology , Pneumonia, Viral/virology , Pre-Eclampsia/etiology , Pre-Eclampsia/pathology , Pre-Eclampsia/virology , Pregnancy , Pregnancy Complications, Infectious/pathology , Pregnancy Trimester, Second , RNA, Viral/genetics , RNA, Viral/isolation & purification , SARS-CoV-2 , Viral Load
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