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Timothy M. Uyeki

Bio: Timothy M. Uyeki is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Influenza A virus subtype H5N1 & Influenza A virus. The author has an hindex of 86, co-authored 309 publications receiving 42818 citations. Previous affiliations of Timothy M. Uyeki include National Center for Immunization and Respiratory Diseases & University of California, San Francisco.


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Stella G. Muthuri1, Sudhir Venkatesan1, Puja R. Myles1, Jo Leonardi-Bee1, Tarig Saleh Al Khuwaitir2, Adbullah Al Mamun3, Ashish P Anovadiya4, Eduardo Azziz-Baumgartner5, Clarisa Báez, Matteo Bassetti, Bojana Beović6, Barbara Bertisch7, Isabelle Bonmarin8, Robert Booy9, Víctor Hugo Borja-Aburto10, Heinz Burgmann11, Bin Cao12, Jordi Carratalà13, Justin T Denholm, Samuel R. Dominguez14, Péricles Almeida Delfino Duarte15, Gal Dubnov-Raz16, Marcela Echavarria, Sergio Fanella17, Zhancheng Gao18, Patrick Gérardin19, Maddalena Giannella20, Sophie Gubbels21, Jethro Herberg22, A. Iglesias, Peter Höger23, Xiaoyun Hu24, Quazi Tarikul Islam25, Mirela Foresti Jiménez26, Amr Kandeel, Gerben Keijzers27, Hossein Khalili28, Marian Knight29, Koichiro Kudo, Gabriela Kusznierz, Ilija Kuzman30, Arthur M C Kwan31, Idriss Lahlou Amine, Eduard Langenegger32, Kamran Bagheri Lankarani33, Yee-Sin Leo34, Rita Linko35, Pei Liu36, Faris Madanat37, Elga Mayo-Montero, Allison McGeer38, Ziad A. Memish39, Gökhan Metan40, Auksė Mickiene41, Dragan Mikić42, Kristin G.-I. Mohn43, Kristin G.-I. Mohn44, Ahmadreza Moradi45, Ahmadreza Moradi46, Pagbajabyn Nymadawa, Maria E. Oliva, Mehpare Ozkan, Dhruv Parekh47, Mical Paul48, Fernando P. Polack49, Barbara Rath50, Alejandro Rodríguez, Elena B. Sarrouf, Anna C. Seale23, Anna C. Seale51, Bunyamin Sertogullarindan52, Marilda M. Siqueira53, Joanna Skręt-Magierło54, Frank P. Stephan55, Ewa Talarek56, Julian W. Tang57, Julian W. Tang58, Kelvin K. W. To59, Antoni Torres13, Selda Hançerli Törün, Dat Tran38, Timothy M. Uyeki60, Annelies van Zwol61, Wendy Vaudry58, Tjasa Vidmar, Renata T. C. Yokota, Paul Zarogoulidis, Jonathan S. Nguyen-Van-Tam1 
University of Nottingham1, King Saud Medical City2, International Centre for Diarrhoeal Disease Research, Bangladesh3, Government Medical College, Thiruvananthapuram4, Centers for Disease Control and Prevention5, Ljubljana University Medical Centre6, Kantonsspital St. Gallen7, Institut de veille sanitaire8, Children's Hospital at Westmead9, Mexican Social Security Institute10, Medical University of Vienna11, Capital Medical University12, University of Barcelona13, University of Colorado Denver14, State University of West Paraná15, Sheba Medical Center16, University of Manitoba17, Peking University18, National Institutes of Health19, Hospital General Universitario Gregorio Marañón20, Statens Serum Institut21, Imperial College London22, Boston Children's Hospital23, Peking Union Medical College Hospital24, Dhaka Medical College and Hospital25, Universidade Federal de Ciências da Saúde de Porto Alegre26, Gold Coast Hospital27, Tehran University of Medical Sciences28, University of Oxford29, University of Zagreb30, Pamela Youde Nethersole Eastern Hospital31, Stellenbosch University32, Shiraz University of Medical Sciences33, Tan Tock Seng Hospital34, University of Helsinki35, China Medical University (PRC)36, King Hussein Cancer Center37, University of Toronto38, Alfaisal University39, Erciyes University40, Lithuanian University of Health Sciences41, Military Medical Academy42, University of Bergen43, Haukeland University Hospital44, Shahid Beheshti University of Medical Sciences and Health Services45, Johns Hopkins University School of Medicine46, University of Birmingham47, Rambam Health Care Campus48, Vanderbilt University49, Charité50, University of Bristol51, Yüzüncü Yıl University52, Oswaldo Cruz Foundation53, Rzeszów University54, University Hospital of Basel55, Medical University of Warsaw56, University of Alberta Hospital57, University of Alberta58, University of Hong Kong59, National Center for Immunization and Respiratory Diseases60, VU University Medical Center61
TL;DR: There was an increase in the mortality hazard rate with each day's delay in initiation of treatment up to day 5 as compared with treatment initiated within 2 days of symptom onset, and early treatment versus no treatment was also associated with a reduction in mortality risk.

527 citations

Journal ArticleDOI
TL;DR: These clinical practice guidelines are an update of the guidelines published by the Infectious Diseases Society of America in 2009 and address new information regarding diagnostic testing, treatment and chemoprophylaxis with antiviral medications, and issues related to institutional outbreak management for seasonal influenza.
Abstract: These clinical practice guidelines are an update of the guidelines published by the Infectious Diseases Society of America (IDSA) in 2009, prior to the 2009 H1N1 influenza pandemic. This document addresses new information regarding diagnostic testing, treatment and chemoprophylaxis with antiviral medications, and issues related to institutional outbreak management for seasonal influenza. It is intended for use by primary care clinicians, obstetricians, emergency medicine providers, hospitalists, laboratorians, and infectious disease specialists, as well as other clinicians managing patients with suspected or laboratory-confirmed influenza. The guidelines consider the care of children and adults, including special populations such as pregnant and postpartum women and immunocompromised patients.

496 citations

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TL;DR: A cluster randomized trial to test whether improved hand hygiene or surgical facemasks reduce the transmission of interpandemic influenza in households found that healthy family members started using these measures within 36 hours of symptom onset in an infected family member.
Abstract: Background Few data are available about the effectiveness of nonpharmaceutical interventions for preventing influenza virus transmission. Objective To investigate whether hand hygiene and use of facemasks prevents household transmission of influenza. Design Cluster randomized, controlled trial. Randomization was computer generated; allocation was concealed from treating physicians and clinics and implemented by study nurses at the time of the initial household visit. Participants and personnel administering the interventions were not blinded to group assignment. (ClinicalTrials.gov registration number: NCT00425893) Setting Households in Hong Kong. Patients 407 people presenting to outpatient clinics with influenza-like illness who were positive for influenza A or B virus by rapid testing (index patients) and 794 household members (contacts) in 259 households. Intervention Lifestyle education (control) (134 households), hand hygiene (136 households), or surgical facemasks plus hand hygiene (137 households) for all household members. Measurements Influenza virus infection in contacts, as confirmed by reverse-transcription polymerase chain reaction (RT-PCR) or diagnosed clinically after 7 days. Results Sixty (8%) contacts in the 259 households had RT-PCR-confirmed influenza virus infection in the 7 days after intervention. Hand hygiene with or without facemasks seemed to reduce influenza transmission, but the differences compared with the control group were not significant. In 154 households in which interventions were implemented within 36 hours of symptom onset in the index patient, transmission of RT-PCR-confirmed infection seemed reduced, an effect attributable to fewer infections among participants using facemasks plus hand hygiene (adjusted odds ratio, 0.33 [95% CI, 0.13 to 0.87]). Adherence to interventions varied. Limitation The delay from index patient symptom onset to intervention and variable adherence may have mitigated intervention effectiveness. Conclusion Hand hygiene and facemasks seemed to prevent household transmission of influenza virus when implemented within 36 hours of index patient symptom onset. These findings suggest that nonpharmaceutical interventions are important for mitigation of pandemic and interpandemic influenza. Primary funding source Centers for Disease Control and Prevention.

469 citations

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TL;DR: Medical record-abstracted data for hospitalized adult patients with laboratory-confirmed COVID-19 who were admitted during March 2020 revealed an overrepresentation of black patients within this hospitalized cohort, which is important for public health officials to ensure that prevention activities prioritize communities and racial/ethnic groups most affected by CO VID-19.
Abstract: SARS-CoV-2, the novel coronavirus that causes coronavirus disease 2019 (COVID-19), was first detected in the United States during January 2020 (1). Since then, >980,000 cases have been reported in the United States, including >55,000 associated deaths as of April 28, 2020 (2). Detailed data on demographic characteristics, underlying medical conditions, and clinical outcomes for persons hospitalized with COVID-19 are needed to inform prevention strategies and community-specific intervention messages. For this report, CDC, the Georgia Department of Public Health, and eight Georgia hospitals (seven in metropolitan Atlanta and one in southern Georgia) summarized medical record-abstracted data for hospitalized adult patients with laboratory-confirmed* COVID-19 who were admitted during March 2020. Among 305 hospitalized patients with COVID-19, 61.6% were aged <65 years, 50.5% were female, and 83.2% with known race/ethnicity were non-Hispanic black (black). Over a quarter of patients (26.2%) did not have conditions thought to put them at higher risk for severe disease, including being aged ≥65 years. The proportion of hospitalized patients who were black was higher than expected based on overall hospital admissions. In an adjusted time-to-event analysis, black patients were not more likely than were nonblack patients to receive invasive mechanical ventilation† (IMV) or to die during hospitalization (hazard ratio [HR] = 0.63; 95% confidence interval [CI] = 0.35-1.13). Given the overrepresentation of black patients within this hospitalized cohort, it is important for public health officials to ensure that prevention activities prioritize communities and racial/ethnic groups most affected by COVID-19. Clinicians and public officials should be aware that all adults, regardless of underlying conditions or age, are at risk for serious illness from COVID-19.

383 citations

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TL;DR: A confirmed case of St. aureus community-acquired pneumonia in the U.S. has been reported from 9 states, and the number of cases is likely to increase as more people are diagnosed with the disease.
Abstract: During the 2003–04 influenza season, 17 cases of Staphylococcus aureus community-acquired pneumonia (CAP) were reported from 9 states; 15 (88%) were associated with methicillin-resistant S. aureus (MRSA). The median age of patients was 21 years; 5 (29%) had underlying diseases, and 4 (24%) had risk factors for MRSA. Twelve (71%) had laboratory evidence of influenza virus infection. All but 1 patient, who died on arrival, were hospitalized. Death occurred in 5 (4 with MRSA). S. aureus isolates were available from 13 (76%) patients (11 MRSA). Toxin genes were detected in all isolates; 11 (85%) had only genes for Panton-Valentine leukocidin. All isolates had community-associated pulsed-field gel electrophoresis patterns; all MRSA isolates had the staphylococcal cassette chromosome mec type IVa. In communities with a high prevalence of MRSA, empiric therapy of severe CAP during periods of high influenza activity should include consideration for MRSA.

379 citations


Cited by
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TL;DR: During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness, and patients often presented without fever, and many did not have abnormal radiologic findings.
Abstract: Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of...

22,622 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death, including older age, high SOFA score and d-dimer greater than 1 μg/mL.

20,189 citations

Journal ArticleDOI
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.

10,401 citations

01 Jan 2014
TL;DR: These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care.
Abstract: XI. STRATEGIES FOR IMPROVING DIABETES CARE D iabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. A large body of evidence exists that supports a range of interventions to improve diabetes outcomes. These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care. While individual preferences, comorbidities, and other patient factors may require modification of goals, targets that are desirable for most patients with diabetes are provided. These standards are not intended to preclude more extensive evaluation and management of the patient by other specialists as needed. For more detailed information, refer to Bode (Ed.): Medical Management of Type 1 Diabetes (1), Burant (Ed): Medical Management of Type 2 Diabetes (2), and Klingensmith (Ed): Intensive Diabetes Management (3). The recommendations included are diagnostic and therapeutic actions that are known or believed to favorably affect health outcomes of patients with diabetes. A grading system (Table 1), developed by the American Diabetes Association (ADA) and modeled after existing methods, was utilized to clarify and codify the evidence that forms the basis for the recommendations. The level of evidence that supports each recommendation is listed after each recommendation using the letters A, B, C, or E.

9,618 citations