Computer Protocol Facilitates Evidence-Based Care of Sepsis in the Surgical Intensive Care Unit

2011 ◽  
Vol 70 (5) ◽  
pp. 1153-1167 ◽  
Author(s):  
Bruce A. McKinley ◽  
Laura J. Moore ◽  
Joseph F. Sucher ◽  
S. Rob Todd ◽  
Krista L. Turner ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Surgical Intensive Care Unit ◽  
Evidence Based ◽  
Surgical Intensive Care ◽  
Evidence Based Care

Blood doping in the surgical intensive care unit: Evidence-based surgical rebuttal

Surgery ◽  
2007 ◽  
Vol 141 (1) ◽  
pp. 7-8 ◽  
Author(s):  
James E. Barone ◽  
Jayne Lieb ◽  
Tyr O. Wilbanks
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Surgical Intensive Care Unit ◽  
Evidence Based ◽  
Surgical Intensive Care ◽  
Blood Doping

scholarly journals Impact of an Evidence-Based Antibiotic Protocol on Common Gram-Negative Bacteria's Antibiotic Resistance in a Cardiac Surgical Intensive Care Unit

2021 ◽  
Vol 05 (01) ◽  
pp. 012-017
Author(s):  
Sarvesh Pal Singh ◽  
Seshagiribabu Yagani ◽  
Shamsiya TP ◽  
Shivam Pandey ◽  
Manoj Kumar Sahu ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Antibiotic Resistance ◽  
Intensive Care ◽  
Antibiotic Sensitivity ◽  
Surgical Intensive Care Unit ◽  
Evidence Based ◽  
Gram Negative Bacteria ◽  
Surgical Intensive Care ◽  
Gram Negative ◽  
The Impact

Abstract Background Based on the analysis of infections and antibiotic usage in the years 2013 and 2014, an evidence-based antibiotic protocol was developed and implemented in our cardiac surgical intensive care unit (CSICU). This study intends to study the impact of this new protocol on the sensitivity profiles of common gram-negative bacteria in our CSICU. Methods The medical records of patients who underwent cardiac surgery at our center, between January 2017 and December 2018, were reviewed and the incidence of different hospital-acquired bacteria and their antibiotic sensitivity profiles were recorded. The antibiotic-sensitivity profiles of common gram-negative bacteria, for the years 2017 and 2018, were compared with the published data of 2013 and 2014 from our department. Results There was a significant decrease in the incidence of Acinetobacter baumannii, Klebsiella pneumoniae, Escherichia coli, and Pseudomonas aeruginosa resistant to carbapenems during 2017 and 2018. The incidence of colistin-resistant A. baumannii and P. aeruginosa also decreased significantly in 2017 and 2018. A significant increase in the proportion of amikacin resistant A. baumannii and E. coli and A. baumannii resistant to B lactam/B lactamase inhibitors also occurred. Conclusion Antibiotic stewardship can reverse the antibiotic resistance of common gram-negative bacteria in the ICU.

Improving Family Satisfaction and Participation in Decision Making in an Intensive Care Unit

2013 ◽  
Vol 33 (5) ◽  
pp. 56-69 ◽  
Author(s):  
Meredith Huffines ◽  
Karen L. Johnson ◽  
Linda L. Smitz Naranjo ◽  
Matthew E. Lissauer ◽  
Marmie Ann-Michelle Fishel ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Decision Making ◽  
Intensive Care ◽  
Multidisciplinary Team ◽  
Family Satisfaction ◽  
Health Care Team ◽  
Surgical Intensive Care Unit ◽  
Evidence Based ◽  
Surgical Intensive Care ◽  
Participation In Decision Making

Background Survey data revealed that families of patients in a surgical intensive care unit were not satisfied with their participation in decision making or with how well the multidisciplinary team worked together. Objectives To develop and implement an evidence-based communication algorithm and evaluate its effect in improving satisfaction among patients’ families. Methods A multidisciplinary team developed an algorithm that included bundles of communication interventions at 24, 72, and 96 hours after admission to the unit. The algorithm included clinical triggers, which if present escalated the algorithm. A pre-post design using process improvement methods was used to compare families’ satisfaction scores before and after implementation of the algorithm. Results Satisfaction scores for participation in decision making (45% vs 68%; z = −2.62, P = .009) and how well the health care team worked together (64% vs 83%; z = −2.10, P = .04) improved significantly after implementation. Conclusions Use of an evidence-based structured communication algorithm may be a way to improve satisfaction of families of intensive care patients with their participation in decision making and their perception of how well the unit’s team works together.

OC76 THE MORE PROCEDURE (MININVASIVE, OPCAB, RAPID SURGICAL INTENSIVE CARE UNIT EXIT, EXTUBATION INTO THE OPERATING ROOM)

2018 ◽  
Vol 19 ◽  
pp. e26
Author(s):  
M. Colombino ◽  
A. Longobardi ◽  
A. Panza ◽  
G. Mastrogiovanni ◽  
P. Masiello ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Operating Room ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care
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