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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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Journal ArticleDOI
TL;DR: Similar epidemiologic characteristics and high severity were observed in cases of H 5N6 and H5N1 virus infection, whereas severity of H7N9 virus infections appeared lower.
Abstract: Background Since 2014, 17 human cases of infection with the newly emerged highly pathogenic avian influenza A(H5N6) virus have been identified in China to date. The epidemiologic characteristics of laboratory-confirmed A(H5N6) cases were compared to A(H5N1) and A(H7N9) cases in mainland China. Methods Data on laboratory-confirmed H5N6, H5N1, and H7N9 cases identified in mainland China were analyzed to compare epidemiologic characteristics and clinical severity. Severity of confirmed H5N6, H5N1 and H7N9 cases was estimated based on the risk of severe outcomes in hospitalized cases. Results H5N6 cases were older than H5N1 cases with a higher prevalence of underlying medical conditions but younger than H7N9 cases. Epidemiological time-to-event distributions were similar among cases infected with the 3 viruses. In comparison to a fatality risk of 70% (30/43) for hospitalized H5N1 cases and 41% (319/782) for hospitalized H7N9 cases, 12 (75%) out of the 16 hospitalized H5N6 cases were fatal, and 15 (94%) required mechanical ventilation. Conclusion Similar epidemiologic characteristics and high severity were observed in cases of H5N6 and H5N1 virus infection, whereas severity of H7N9 virus infections appeared lower. Continued surveillance of human infections with avian influenza A viruses remains an essential component of pandemic influenza preparedness.

54 citations

Journal ArticleDOI
Stella G. Muthuri1, Sudhir Venkatesan1, Puja R. Myles1, Jo Leonardi-Bee1, Wei Shen Lim2, Abdullah Al Mamun3, Ashish P Anovadiya4, Wildo Navegantes de Araújo5, Eduardo Azziz-Baumgartner6, Clarisa Báez, C. Bantar, Mazen M. Barhoush7, Matteo Bassetti, Bojana Beović8, Roland Bingisser9, Isabelle Bonmarin10, Víctor Hugo Borja-Aburto11, Bin Cao12, Jordi Carratalà13, María R. Cuezzo, Justin T Denholm, Samuel R. Dominguez14, Péricles Almeida Delfino Duarte15, Gal Dubnov-Raz16, Marcela Echavarria, Sergio Fanella17, James Fraser18, Zhancheng Gao19, Patrick Gérardin, Maddalena Giannella20, Sophie Gubbels21, Jethro Herberg22, A. Iglesias, Peter H. Hoeger18, Matthias Hoffmann23, Xiaoyun Hu24, Quazi Tarikul Islam25, Mirela Foresti Jiménez, Amr Kandeel, Gerben Keijzers26, Hossein Khalili27, Gulam Khandaker28, Marian Knight29, 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, Toshie Manabe38, Elga Mayo-Montero, Allison McGeer39, Ziad A. Memish40, Gökhan Metan41, Dragan Mikić42, Kristin G.-I. Mohn43, Kristin G.-I. Mohn44, Ahmadreza Moradi45, Ahmadreza Moradi46, Pagbajabyn Nymadawa, Bülent Özbay47, Mehpare Ozkan, Dhruv Parekh48, Mical Paul49, Wolfgang Poeppl50, Fernando P. Polack51, Barbara Rath52, Alejandro Rodríguez, Marilda M. Siqueira53, Joanna Skręt-Magierło54, Ewa Talarek55, Julian W. Tang56, Julian W. Tang57, Antoni Torres13, Selda Hançerli Törün, Dat Tran39, Timothy M. Uyeki58, Annelies van Zwol59, Wendy Vaudry56, Daiva Velyvyte60, Tjasa Vidmar, Paul Zarogoulidis, Jonathan S. Nguyen-Van-Tam1 
University of Nottingham1, Nottingham University Hospitals NHS Trust2, International Centre for Diarrhoeal Disease Research, Bangladesh3, Government Medical College, Thiruvananthapuram4, University of Brasília5, Centers for Disease Control and Prevention6, King Saud Medical City7, Ljubljana University Medical Centre8, University Hospital of Basel9, Institut de veille sanitaire10, Mexican Social Security Institute11, Capital Medical University12, University of Barcelona13, University of Colorado Denver14, State University of West Paraná15, Sheba Medical Center16, University of Manitoba17, Boston Children's Hospital18, Peking University19, Hospital General Universitario Gregorio Marañón20, Statens Serum Institut21, Imperial College London22, Kantonsspital St. Gallen23, Peking Union Medical College Hospital24, Dhaka Medical College and Hospital25, Gold Coast Hospital26, Tehran University of Medical Sciences27, Children's Hospital at Westmead28, 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 Tsukuba38, University of Toronto39, Alfaisal University40, Erciyes University41, Military Medical Academy42, Haukeland University Hospital43, University of Bergen44, Johns Hopkins University School of Medicine45, Shahid Beheshti University of Medical Sciences and Health Services46, Yüzüncü Yıl University47, University of Birmingham48, Rambam Health Care Campus49, Medical University of Vienna50, Vanderbilt University51, Charité52, Oswaldo Cruz Foundation53, Rzeszów University54, Medical University of Warsaw55, University of Alberta56, University of Alberta Hospital57, National Center for Immunization and Respiratory Diseases58, VU University Medical Center59, Lithuanian University of Health Sciences60
TL;DR: The objective was to investigate the association between NAI treatment and IRP incidence and outcomes in patients hospitalised with A(H1N1)pdm09 virus infection.
Abstract: Background: The impact of neuraminidase inhibitors (NAIs) on influenza-related pneumonia (IRP) is not established. Our objective was to investigate the association between NAI treatment and IRP incidence and outcomes in patients hospitalised with A(H1N1)pdm09 virus infection. Methods: A worldwide meta-analysis of individual participant data from 20 634 hospitalised patients with laboratory-confirmed A(H1N1)pdm09 (n = 20 021) or clinically diagnosed (n = 613) 'pandemic influenza'. The primary outcome was radiologically confirmed IRP. Odds ratios (OR) were estimated using generalised linear mixed modelling, adjusting for NAI treatment propensity, antibiotics and corticosteroids. Results: Of 20 634 included participants, 5978 (29·0%) had IRP; conversely, 3349 (16·2%) had confirmed the absence of radiographic pneumonia (the comparator). Early NAI treatment (within 2 days of symptom onset) versus no NAI was not significantly associated with IRP [adj. OR 0·83 (95% CI 0·64-1·06; P = 0·136)]. Among the 5978 patients with IRP, early NAI treatment versus none did not impact on mortality [adj. OR = 0·72 (0·44-1·17; P = 0·180)] or likelihood of requiring ventilatory support [adj. OR = 1·17 (0·71-1·92; P = 0·537)], but early treatment versus later significantly reduced mortality [adj. OR = 0·70 (0·55-0·88; P = 0·003)] and likelihood of requiring ventilatory support [adj. OR = 0·68 (0·54-0·85; P = 0·001)]. Conclusions: Early NAI treatment of patients hospitalised with A(H1N1)pdm09 virus infection versus no treatment did not reduce the likelihood of IRP. However, in patients who developed IRP, early NAI treatment versus later reduced the likelihood of mortality and needing ventilatory support.

54 citations

Journal ArticleDOI
TL;DR: With influenza activity surging, critical illness and deaths have been reported in young and middle-aged U.S. adults and much can be done to reduce the impact of influenza.
Abstract: With influenza activity surging, critical illness and deaths have been reported in young and middle-aged U.S. adults. The predominant virus has been the strain that caused the 2009 H1N1 pandemic. Despite challenges, there's much we can do to reduce the impact of influenza.

53 citations

Journal ArticleDOI
TL;DR: This study highlights job categories and activities associated with increased risk for SARS-CoV infection and demonstrates that a broad diversity of hospital workers may be vulnerable during an outbreak.
Abstract: In March of 2003, an outbreak of Severe Acute Respiratory Syndrome (SARS) occurred in Northern Vietnam. This outbreak began when a traveler arriving from Hong Kong sought medical care at a small hospital (Hospital A) in Hanoi, initiating a serious and substantial transmission event within the hospital, and subsequent limited spread within the community. We surveyed Hospital A personnel for exposure to the index patient and for symptoms of disease during the outbreak. Additionally, serum specimens were collected and assayed for antibody to SARS-associated coronavirus (SARS-CoV) antibody and job-specific attack rates were calculated. A nested case-control analysis was performed to assess risk factors for acquiring SARS-CoV infection. One hundred and fifty-three of 193 (79.3%) clinical and non-clinical staff consented to participate. Excluding job categories with <3 workers, the highest SARS attack rates occurred among nurses who worked in the outpatient and inpatient general wards (57.1, 47.4%, respectively). Nurses assigned to the operating room/intensive care unit, experienced the lowest attack rates (7.1%) among all clinical staff. Serologic evidence of SARS-CoV infection was detected in 4 individuals, including 2 non-clinical workers, who had not previously been identified as SARS cases; none reported having had fever or cough. Entering the index patient's room and having seen (viewed) the patient were the behaviors associated with highest risk for infection by univariate analysis (odds ratios 20.0, 14.0; 95% confidence intervals 4.1–97.1, 3.6–55.3, respectively). This study highlights job categories and activities associated with increased risk for SARS-CoV infection and demonstrates that a broad diversity of hospital workers may be vulnerable during an outbreak. These findings may help guide recommendations for the protection of vulnerable occupational groups and may have implications for other respiratory infections such as influenza.

53 citations

Journal ArticleDOI
TL;DR: Co-circulation of H5N1 in poultry and humans during seasonal influenza epidemic periods signals the need for enhanced surveillance and biosafety measures.
Abstract: Co-circulation of influenza A(H5N1) and seasonal influenza viruses among humans and animals could lead to co-infections, reassortment, and emergence of novel viruses with pandemic potential. We assessed the timing of subtype H5N1 outbreaks among poultry, human H5N1 cases, and human seasonal influenza in 8 countries that reported 97% of all human H5N1 cases and 90% of all poultry H5N1 outbreaks. In these countries, most outbreaks among poultry (7,001/11,331, 62%) and half of human cases (313/625, 50%) occurred during January–March. Human H5N1 cases occurred in 167 (45%) of 372 months during which outbreaks among poultry occurred, compared with 59 (10%) of 574 months that had no outbreaks among poultry. Human H5N1 cases also occurred in 59 (22%) of 267 months during seasonal influenza periods. To reduce risk for co-infection, surveillance and control of H5N1 should be enhanced during January–March, when H5N1 outbreaks typically occur and overlap with seasonal influenza virus circulation.

50 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