Výsledky vyhledávání - "Neil O. Fishman"

Akademický článek

Macrolide Resistance in Adults with Bacteremic Pneumococcal Pneumonia

Autor: Joshua P. Metlay, Neil O. Fishman, Marshall M. Joffe, Michael J. Kallan, Jesse L. Chittams, Paul H. Edelstein

Publikováno v: Emerging Infectious Diseases, Vol 12, Iss 8, Pp 1223-1230 (2006)

We conducted a case-control study of adults with bacteremic pneumococcal pneumonia to identify factors associated with macrolide resistance. Study participants were identified through population-based surveillance in a 5-county region surrounding Phi

Externí odkaz: https://doaj.org/article/836365a4e80a452494daf9c62b6c6777

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Akademický článek

Hospital-reported Pneumococcal Susceptibility to Penicillin

Autor: Joshua P. Metlay, Charles C. Branas, Neil O. Fishman

Publikováno v: Emerging Infectious Diseases, Vol 10, Iss 1, Pp 54-59 (2004)

Geographic variation in drug susceptibility among isolates of Streptococcus pneumoniae has influenced national treatment guidelines for community-acquired pneumonia. Whether individual hospital susceptibility data provide reliable and valid informati

Externí odkaz: https://doaj.org/article/f50a24d1dd354166aac6e8440be24ca7

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Transparency, Public Reporting, and a Culture of Change to Quality and Safety in Cardiac Surgery

Autor: Regina S. Cunningham, Neil O. Fishman, Patrick J. Brennan, Stephanie Ottemiller, Matthew L. Williams, Michael A. Acker, Steve Weiss, Wilson Y. Szeto, Jo Fante Gallagher, Jacob T. Gutsche, Luann Brady, Joseph E. Bavaria, Michael Ibrahim

Publikováno v: The Annals of Thoracic Surgery. 114:626-635

Academic medical centers have a duty to serve as hospitals of last resort for advanced cardiac surgical care and therefore manage patients at elevated risk of post-operative morbidity and mortality. They must also meet state and professional quality

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41ea4405ec01e3eeb58f422ae91fbcca
https://doi.org/10.1016/j.athoracsur.2021.08.085

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Preparedness Tested: Severe Cerebral Malaria Presenting as a High-Risk Person Under Investigation for Ebola Virus Disease at a US Hospital

Autor: William D. Schweickert, Neil O. Fishman, Edward T. Dickinson, Nuala J. Meyer, David A. Pegues, Matthew P Kelly, George L. Anesi, Mark E. Mikkelsen, John P. Reilly, Emma V Myers

Publikováno v: Disaster Medicine and Public Health Preparedness. 15:528-533

In 2019, a 42-year-old African man who works as an Ebola virus disease (EVD) researcher traveled from the Democratic Republic of Congo (DRC), near an ongoing EVD epidemic, to Philadelphia and presented to the Hospital of the University of Pennsylvani

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::903fd29029124be85640ba2261fcf96c
https://doi.org/10.1017/dmp.2020.53

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A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward Patients

Autor: Neil O. Fishman, Paul Junker, Jeff I. Rohrbach, Lyle H. Ungar, Gary E. Weissman, Parth K. Shah, Jennifer C Ginestra

Publikováno v: Crit Care Med

Objectives The National Early Warning Score, Modified Early Warning Score, and quick Sepsis-related Organ Failure Assessment can predict clinical deterioration. These scores exhibit only moderate performance and are often evaluated using aggregated m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d20cc9b9231dfeb5e8fabe96de5a5a07
https://europepmc.org/articles/PMC8282687/

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A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock

Autor: Neil O. Fishman, Kimberly Pavan, Michael Draugelis, Craig A Umscheid, Jennifer C. Ginestra, William D. Schweickert, Barry D. Fuchs, Patrick J. Donnelly, Heather M. Giannini, Corey Chivers, Laurie Meadows, Asaf Hanish, C. William Hanson, Michael J Lynch

Publikováno v: Critical Care Medicine. 47:1485-1492

Objectives:Develop and implement a machine learning algorithm to predict severe sepsis and septic shock and evaluate the impact on clinical practice and patient outcomes.Design:Retrospective cohort for algorithm derivation and validation, pre-post im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::121286d1bd09604dc90d5e1a5abe9895
https://doi.org/10.1097/ccm.0000000000003891

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