scholarly journals Survival after resection of brain metastases with white light microscopy versus fluorescence-guidance: A matched cohort analysis of the Metastasys study data

Oncotarget ◽  
2020 ◽  
Vol 11 (32) ◽  
pp. 3026-3034
Author(s):  
Abdelhalim Hussein ◽  
Veit Rohde ◽  
Christina Wolfert ◽  
Silvia Hernandez-Duran ◽  
Ingo Fiss ◽  
...  
Keyword(s):  
Brain Metastases ◽  
Light Microscopy ◽  
White Light ◽  
Cohort Analysis ◽  
Study Data ◽  
Matched Cohort

How Does Brainstem Involvement Affect Prognosis in Patients with Limited Brain Metastases? Results of a Matched-Cohort Analysis

2016 ◽  
Vol 88 ◽  
pp. 563-568 ◽  
Author(s):  
Daniel M. Trifiletti ◽  
Cheng-Chia Lee ◽  
Neil Shah ◽  
Nirav V. Patel ◽  
Shao-ching Chen ◽  
...  
Keyword(s):  
Brain Metastases ◽  
Cohort Analysis ◽  
Matched Cohort

Surgical Indication Optimization of Brain Metastases Based on the Evolutionary Analysis of Karnofsky Performance Status

2021 ◽  
Author(s):  
Jorge Rasmussen ◽  
Pablo Ajler ◽  
Daniela Massa ◽  
Pedro Plou ◽  
Matteo Baccanelli ◽  
...  
Keyword(s):  
Brain Metastases ◽  
Functional Status ◽  
Surgical Resection ◽  
Pharmacological Treatment ◽  
Karnofsky Performance Status ◽  
Performance Status ◽  
Cohort Analysis ◽  
Surgical Indication ◽  
Evolutionary Analysis ◽  
Survival Curves

Abstract Background and Objective Surgical resection of brain metastases (BM) offers the highest rates of local control and survival; however, it is reserved for patients with good functional status. In particular, the presence of BM tends to oversize the detriment of the overall functional status, causing neurologic deterioration, potentially reversible following symptomatic pharmacological treatment. Thus, a timely indication of surgical resection may be dismissed. We propose to identify and quantify these variations in the functional status of patients with symptomatic BM to optimize the indication of surgical resection. Patients and Methods Historic, retrospective cohort analysis of adult patients undergoing BM microsurgical resection, consecutively from January 2012 to May 2016, was conducted. The Karnofsky performance status (KPS) variation was recorded according to the symptomatic evolution of each patient at specific moments of the diagnostic–therapeutic algorithm. Finally, survival curves were delineated for the main identified factors. Results One hundred and nineteen resection surgeries were performed. The median overall survival was 243 days, while on average it was 305.7 (95% confidence interval [CI]: 250.6–360.9) days. The indication of surgical resection of 10% of the symptomatic patients in our series (7.5% of overall) could have been initially rejected due to pharmacologically reversible neurologic impairment. Survival curves showed statistically significant differences when KPS was stratified following pharmacological symptomatic treatment (p < 0.0001), unlike when they were estimated at the time of BM diagnosis (p = 0.1128). Conclusion The preoperative determination of the functional status by KPS as an evolutive parameter after the nononcologic symptomatic pharmacological treatment allowed us to optimize the surgical indication of patients with symptomatic BM.

scholarly journals Effect of self-reported cannabis use on postoperative outcomes: a propensity matched cohort analysis of non-cardiac surgery patients

2021 ◽  
pp. rapm-2021-102754
Author(s):  
Harsha Shanthanna ◽  
Betty Huiyu Zhang ◽  
Haris Saud ◽  
Neil Sengupta ◽  
Max Chen ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Cohort Analysis ◽  
Cannabis Use ◽  
Postoperative Outcomes ◽  
Matched Cohort

scholarly journals Association of Health Insurance Status with Outcomes of Sepsis in Adult Patients: A Retrospective Cohort Study

2021 ◽  
Vol 18 (11) ◽  
pp. 5777
Author(s):  
Gaon-Sorae Wang ◽  
Kyoung-Min You ◽  
You-Hwan Jo ◽  
Hui-Jai Lee ◽  
Jong-Hwan Shin ◽  
...  
Keyword(s):  
Health Insurance ◽  
Propensity Score ◽  
Hospital Mortality ◽  
Cohort Analysis ◽  
Adult Patients ◽  
Multivariate Logistic Regression Model ◽  
Insurance Status ◽  
Matched Cohort ◽  
Health Insurance Status ◽  
Significant Difference

(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.

The effects of critical care outreach services before and after critical care: A matched-cohort analysis

2010 ◽  
Vol 25 (2) ◽  
pp. 196-204 ◽  
Author(s):  
David A. Harrison ◽  
Haiyan Gao ◽  
Catherine A. Welch ◽  
Kathryn M. Rowan
Keyword(s):  
Critical Care ◽  
Cohort Analysis ◽  
Matched Cohort ◽  
Outreach Services ◽  
Before And After ◽  
Critical Care Outreach
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