Surface osteosarcoma: Predictors of outcomes

Author(s):  
Stella J. Lee ◽  
Jonathan Lans ◽  
Samuel D. Cook ◽  
Ivan Chebib ◽  
Joseph H. Schwab ◽  
...  
Author(s):  
Matthew R. Cook ◽  
Joshua Lorbach ◽  
Brian D. Husbands ◽  
William C. Kisseberth ◽  
Sarah Samuels ◽  
...  

Author(s):  
Naruhiro Kimura ◽  
Masaaki Takamura ◽  
Nobutaka Takeda ◽  
Yusuke Watanabe ◽  
Yoshihisa Arao ◽  
...  

Author(s):  
Shenae Samuels ◽  
Jianli Niu ◽  
Candice Sareli ◽  
Paula Eckardt

AbstractThe novel coronavirus disease 2019 (COVID-19) continues to be a major public health concern. The aim of this study was to describe the presenting characteristics, epidemiology and predictors of outcomes among confirmed COVID-19 cases seen at a large community healthcare system which serves the epicenter and diverse region of Florida. We conducted a retrospective analysis of individuals with lab-confirmed SARS-CoV-2 infection who were seen, from March 2, 2020 to May 31, 2020, at Memorial Healthcare System in South Florida. Data was extracted from a COVID-19 registry of patients with lab-confirmed SARS-CoV-2 infection. Univariate and backward stepwise multivariate logistic regression models were used to determine predictors of key study outcomes. There were a total of 1692 confirmed COVID-19 patients included in this study. Increasing age was found to be a significant predictor of hospitalization, 30-day readmission and death. Having a temperature of 38 °C or more and increasing comorbidity score were also associated with an increased risk of hospitalization. Significant predictors of ICU admission included having a saturated oxygen level less than 90%, hypertension, dementia, rheumatologic disease, having a respiratory rate greater than 24 breaths per minute. Being of Hispanic ethnicity and immunosuppressant utilization greatly increased the risk of 30-day readmission. Having an oxygen saturation less than 90% and an underlying neurological disorder were associated with an increased likelihood of death. Results show that a patient’s demographic, underlying condition and vitals at triage may increase or reduce their risk of hospitalization, ICU admission, 30-day readmission or death.


2005 ◽  
Vol 99 (2) ◽  
pp. 432-436 ◽  
Author(s):  
Charles A. Leath ◽  
J. Michael Straughn ◽  
Tyler O. Kirby ◽  
Adam Huggins ◽  
Edward E. Partridge ◽  
...  

Cancer ◽  
2008 ◽  
Vol 112 (7) ◽  
pp. 1592-1599 ◽  
Author(s):  
Eric L. Staals ◽  
Patrizia Bacchini ◽  
Franco Bertoni

Sign in / Sign up

Export Citation Format

Share Document