The role of pulse width manipulation compared to program changes alone for unsatisfactory sacral neuromodulation therapy: A retrospective matched‐cohort analysis

2020 ◽  
Author(s):  
Jessica Rueb ◽  
Michele Fascelli ◽  
Howard B. Goldman ◽  
Sandip Vasavada ◽  
Raymond Rackley ◽  
...  
Keyword(s):  
Pulse Width ◽  
Sacral Neuromodulation ◽  
Cohort Analysis ◽  
Matched Cohort ◽  
Program Changes

Role of Temperature, MTJ Size and Pulse-Width on STT-MRAM Bit-Error Rate and Backhopping

2021 ◽  
pp. 108032
Author(s):  
J. Tan ◽  
J.H. Lim ◽  
J.H. Kwon ◽  
V.B. Naik ◽  
N. Raghavan ◽  
...  
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Pulse Width

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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