Open Access. Powered by Scholars. Published by Universities.®
- Publication
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
30-Year Trends In Patient Characteristics, Treatment Practices, And Long-Term Outcomes Of Adults Aged 35 To 54 Years Hospitalized With Acute Myocardial Infarction, Mayra Tisminetzky, David Mcmanus, Joel Gore, Jorge Yarzebski, Andrew Coles, Darleen Lessard, Robert Goldberg
30-Year Trends In Patient Characteristics, Treatment Practices, And Long-Term Outcomes Of Adults Aged 35 To 54 Years Hospitalized With Acute Myocardial Infarction, Mayra Tisminetzky, David Mcmanus, Joel Gore, Jorge Yarzebski, Andrew Coles, Darleen Lessard, Robert Goldberg
Jorge L. Yarzebski
Much of our knowledge about the characteristics, clinical management, and postdischarge outcomes of acute myocardial infarction (AMI) is derived from clinical studies in middle-aged and older subjects with little contemporary information available about the descriptive epidemiology of AMI in relatively young men and women. The objectives of our population-based study were to describe >3-decade-long trends in the clinical features, treatment practices, and long-term outcomes of young adults aged 35 to 54 years discharged from the hospital after AMI. The study population consisted of 2,142 residents of the Worcester (Massachusetts) metropolitan area who were hospitalized with AMI at all central Massachusetts …
Classification Of Dengue Illness Based On Readily Available Laboratory Data, James Potts, Stephen Thomas, Anon Srikiatkhachorn, Pra-On Supradish, Wenjun Li, Ananda Nisalak, Suchitra Nimmannitya, Timothy Endy, Daniel Libraty, Robert Gibbons, Sharone Green, Alan Rothman, Siripen Kalayanarooj
Classification Of Dengue Illness Based On Readily Available Laboratory Data, James Potts, Stephen Thomas, Anon Srikiatkhachorn, Pra-On Supradish, Wenjun Li, Ananda Nisalak, Suchitra Nimmannitya, Timothy Endy, Daniel Libraty, Robert Gibbons, Sharone Green, Alan Rothman, Siripen Kalayanarooj
Alan Rothman
The aim of this study was to examine retrospective dengue-illness classification using only clinical laboratory data, without relying on X-ray, ultrasound, or percent hemoconcentration. We analyzed data from a study of children who presented with acute febrile illness to two hospitals in Thailand. Multivariable logistic regression models were used to distinguish: (1) dengue hemorrhagic fever (DHF) versus dengue fever (DF), (2) DHF versus DF + other febrile illness (OFI), (3) dengue versus OFI, and (4) severe dengue versus non-severe dengue + OFI. Data from the second hospital served as a validation set. There were 1,227 patients in the analysis. The …