Carotid blowout syndrome in pharyngeal cancer patients treated by hypofractionated stereotactic re-irradiation using CyberKnife: A multi-institutional matched-cohort analysis

2015 ◽  
Vol 115 (1) ◽  
pp. 67-71 ◽  
Author(s):  
Hideya Yamazaki ◽  
Mikio Ogita ◽  
Kengo Himei ◽  
Satoaki Nakamura ◽  
Tadayuki Kotsuma ◽  
...  
2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6509-6509 ◽  
Author(s):  
Lisa Catherine Barbera ◽  
Rinku Sutradhar ◽  
Craig Earle ◽  
Nicole Mittmann ◽  
Hsien Seow ◽  
...  

6509 Background: The study objective was to examine the impact of routine Edmonton Symptom Assessment System (ESAS) use on overall survival among adult cancer patients. We hypothesized that patients exposed to ESAS would have better overall survival rates than those who didn’t have ESAS. Methods: The effect of ESAS screening on survival was evaluated in a retrospective matched cohort study. The cohort included all Ontario patients aged 18 or older who were diagnosed with cancer between 2007 and 2015. Patients completing at least one ESAS assessment during the study were considered exposed. The index date was the day of their first ESAS assessment. Follow up time for each patient was segmented into one of three phases: initial, continuing, or palliative care. Exposed and unexposed patients were matched 1:1 using hard (birth year ± 2 years, cancer diagnosis date ± 1 year, cancer type and sex) and propensity-score matching (14 measures including cancer stage, treatments received, and comorbidity). Matched patients were followed until death or the end of study at Dec 31, 2015. Kaplan-Meier curves and multivariable Cox regression were used to evaluate the impact of ESAS on survival. Results: There were 128,893 pairs well matched on all baseline characteristics (standardized difference < 0.1). The probability of survival within the first 5 years was higher among those exposed to ESAS compared to those who were not (73.8% vs. 72.0%, P-value < 0.0001). In the multivariable Cox regression model, ESAS assessment was significantly associated with a decreased mortality risk (HR: 0.49, 95% CI: 0.48-0.49) and this protective effect was seen across all phases. Conclusions: ESAS exposure is associated with improved survival in cancer patients, in all phases of care. To the extent possible, extensive matching methods have mitigated biases inherent to observational data. This provides real world evidence of the impact of routine symptom assessment in cancer care.


2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e21677-e21677
Author(s):  
Adi Joseph Klil-Drori ◽  
Janie Coulombe ◽  
Samy Suissa ◽  
Andrew Hirsch ◽  
Vicky Tagalakis

2021 ◽  
pp. rapm-2021-102754
Author(s):  
Harsha Shanthanna ◽  
Betty Huiyu Zhang ◽  
Haris Saud ◽  
Neil Sengupta ◽  
Max Chen ◽  
...  

Author(s):  
Gaon-Sorae Wang ◽  
Kyoung-Min You ◽  
You-Hwan Jo ◽  
Hui-Jai Lee ◽  
Jong-Hwan Shin ◽  
...  

(1) Background: Sepsis is a life-threatening disease, and various demographic and socioeconomic factors affect outcomes in sepsis. However, little is known regarding the potential association between health insurance status and outcomes of sepsis in Korea. We evaluated the association of health insurance and clinical outcomes in patients with sepsis. (2) Methods: Prospective cohort data of adult patients with sepsis and septic shock from March 2016 to December 2018 in three hospitals were retrospectively analyzed. We categorized patients into two groups according to their health insurance status: National Health Insurance (NHI) and Medical Aid (MA). The primary end point was in-hospital mortality. The multivariate logistic regression model and propensity score matching were used. (3) Results: Of a total of 2526 eligible patients, 2329 (92.2%) were covered by NHI, and 197 (7.8%) were covered by MA. The MA group had fewer males, more chronic kidney disease, more multiple sources of infection, and more patients with initial lactate > 2 mmol/L. In-hospital, 28-day, and 90-day mortality were not significantly different between the two groups and in-hospital mortality was not different in the subgroup analysis. Furthermore, health insurance status was not independently associated with in-hospital mortality in multivariate analysis and was not associated with survival outcomes in the propensity score-matched cohort. (4) Conclusion: Our propensity score-matched cohort analysis demonstrated that there was no significant difference in in-hospital mortality by health insurance status in patients with sepsis.


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