Simulation-based methodology for improving the safety and efficacy of insulin therapy in critically ill patients

Introduction: The COVID-19 surge at our institution required deployment of large numbers of non-intensive care unit (ICU) physicians and advanced practice providers to assist in the management of the critically ill. A 3-hour “uptraining” simulation session was offered to these providers that focused on various aspects of ICU care. Hypothesis: We hypothesized that following a 3-hour simulation session, providers would feel more comfortable in managing critically-ill patients with COVID-19. Methods: One hundred and seventy-five providers underwent a 3-hour simulation-based session focused on management of shock, acute respiratory distress syndrome, and critical care ultrasound. All participants were sent surveys to assess their comfort with various aspects of ICU care following return to their usual work environments. Results: One hundred and eight providers of 175 (62%) completed the surveys. Cardiology fellows and faculty accounted for 36% of the responders, acute care nurse practitioners (NPs) accounted for 16%, while other NPs, residents, and fellows accounted for the remainder. Prior to simulation training, 31% regularly managed patients in the ICU and 28% occasionally managed ICU patients. Following training, 71% of participants were deployed to a COVID-19 ICU as part of their workflow. Overall, 104/108 responders (96%) felt training either significantly or somewhat improved their knowledge in the management of ICU patients. Ninety-four participants (91%) felt training impacted their care of critically ill patients with COVID-19. Table 1 is a display of specific ICU skillsets taught in the session and if the participants felt better equipped to utilize what was covered post deployment. Conclusions: Simulation-based training improved provider comfort in the management of critically ill patients with COVID-19. Table 1: Participants response to “if they felt better equipped to utilize ICU skills following simulation training”

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Effect of Permissive Underfeeding with Intensive Insulin Therapy on MCP-1, sICAM-1, and TF in Critically Ill Patients

Nutrients ◽

10.3390/nu11050987 ◽

2019 ◽

Vol 11 (5) ◽

pp. 987

Author(s):

Ahmad Aljada ◽

Ghada Fahad AlGwaiz ◽

Demah AlAyadhi ◽

Emad Masuadi ◽

Mahmoud Zahra ◽

...

Keyword(s):

Insulin Therapy ◽

Critically Ill ◽

Intensive Insulin Therapy ◽

Inflammatory Mediators ◽

Critically Ill Patients ◽

Caloric Intake ◽

Intercellular Adhesion Molecule ◽

P Value ◽

Permissive Underfeeding ◽

Significant Difference

Purpose: This study examined the effect of permissive underfeeding compared to target feeding and intensive insulin therapy (IIT) compared to conventional insulin therapy (CIT) on the inflammatory mediators monocyte chemoattractant protein 1 (MCP-1), soluble intercellular adhesion molecule 1 (sICAM-1), and tissue factor (TF) in critically ill patients. Methodology: This was a substudy of a 2 × 2 factorial design randomized controlled trial in which intensive care unit (ICU) patients were randomized into permissive underfeeding compared to target feeding groups and into IIT compared to CIT groups (ISRCTN96294863). In this substudy, we included 91 patients with almost equal numbers across randomization groups. Blood samples were collected at baseline and at days 3, 5, and 7 of an ICU stay. Linear mixed models were used to assess the differences in MCP-1, sICAM-1, and TF across randomization groups over time. Results: Baseline characteristics were balanced across randomization groups. Daily caloric intake was significantly higher in the target feeding than in the permissive underfeeding groups (P-value < 0.01), and the daily insulin dose was significantly higher in the IIT than in the CIT groups (P-value < 0.01). MCP-1, sICAM-1, and TF did not show any significant difference between the randomization groups, while there was a time effect for MCP-1. Baseline sequential organ failure assessment (SOFA) score and platelets had a significant effect on sICAM-1 (P-value < 0.01). For TF, there was a significant association with age (P-value < 0.01). Conclusions: Although it has been previously demonstrated that insulin inhibits MCP-1, sICAM-1 in critically ill patients, and TF in non-critically ill patients, our study demonstrated that IIT in critically ill patients did not affect these inflammatory mediators. Similarly, caloric intake had a negligible effect on the inflammatory mediators studied.

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Glucose Management Technologies for the Critically Ill

Journal of Diabetes Science and Technology ◽

10.1177/1932296818822838 ◽

2019 ◽

Vol 13 (4) ◽

pp. 682-690 ◽

Cited By ~ 6

Author(s):

Pedro D. Salinas ◽

Carlos E. Mendez

Keyword(s):

Insulin Therapy ◽

Critically Ill ◽

Critically Ill Patients ◽

New Technologies ◽

Point Of Care ◽

Glucose Monitoring ◽

Standard Of Care ◽

Optimal Method ◽

Intravenous Insulin ◽

Glucose Management

Hyperglycemia is common in the intensive care unit (ICU) both in patients with and without a previous diagnosis of diabetes. The optimal glucose range in the ICU population is still a matter of debate. Given the risk of hypoglycemia associated with intensive insulin therapy, current recommendations include treating hyperglycemia after two consecutive glucose >180 mg/dL with target levels of 140-180 mg/dL for most patients. The optimal method of sampling glucose and delivery of insulin in critically ill patients remains elusive. While point of care glucose meters are not consistently accurate and have to be used with caution, continuous glucose monitoring (CGM) is not standard of care, nor is it generally recommended for inpatient use. Intravenous insulin therapy using paper or electronic protocols remains the preferred approach for critically ill patients. The advent of new technologies, such as electronic glucose management, CGM, and closed-loop systems, promises to improve inpatient glycemic control in the critically ill with lower rates of hypoglycemia.

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