Patients undergoing alcohol withdrawal in the intensive care unit (ICU) often require escalating doses of benzodiazepines and not uncommonly require intubation and mechanical ventilation for airway protection. This may lead to complications and prolonged ICU stays. Experimental studies and single case reports suggest the α2-agonist dexmedetomidine is effective in managing the autonomic symptoms seen with alcohol withdrawal. We report a retrospective analysis of 20 ICU patients treated with dexmedetomidine for benzodiazepine-refractory alcohol withdrawal. Records from a 23-bed mixed medical-surgical ICU were abstracted from November 2008 to November 2010 for patients who received dexmedetomidine for alcohol withdrawal. The main analysis compared alcohol withdrawal severity scores and medication doses for 24 h before dexmedetomidine therapy with values during the first 24 h of dexmedetomidine therapy. There was a 61.5% reduction in benzodiazepine dosing after initiation of dexmedetomidine (n = 17; p < 0. 001) and a 21.1% reduction in alcohol withdrawal severity score (n = 11; p = .015). Patients experienced less tachycardia and systolic hypertension following dexmedetomidine initiation. One patient out of 20 required intubation. A serious adverse effect occurred in one patient, in whom dexmedetomidine was discontinued for two 9-second asystolic pauses noted on telemetry. This observational study suggests that dexmedetomidine therapy for severe alcohol withdrawal is associated with substantially reduced benzodiazepine dosing, a decrease in alcohol withdrawal scoring and blunted hyperadrenergic cardiovascular response to ethanol abstinence. In this series, there was a low rate of mechanical ventilation associated with the above strategy. One of 20 patients suffered two 9-second asystolic pauses, which did not recur after dexmedetomidine discontinuation. Prospective trials are warranted to compare adjunct treatment with dexmedetomidine versus standard benzodiazepine therapy.
In Brief Massive transfusion is an infrequent, high-risk event requiring interprofessional teamwork and communication to achieve optimal patient outcomes. Massive transfusion protocols guide team members and standardize blood delivery. Empowering nurses to recognize and initiate massive transfusions within the defined protocol can speed the delivery of blood products to the patient. Massive transfusion (MT) is an infrequent, high-risk event requiring interprofessional teamwork and communication to achieve optimal patient outcomes. MT protocols guide team members and standardize blood delivery. This article provides an overview of MTs to help nurses recognize and initiate them within the defined protocol to speed up the delivery of blood products to the patient.
The aim of this pilot study was to identify if establishing a reliable framework for consistent use of TeamSTEPPS communication would improve the team communication and performance during the critical handoff of the cardiac surgical patient from the OR team to the ICU team. Breakdown in handoff communication has been attributed as the cause of adverse health events, delays in treatment, inappropriate treatment, increased length of stay, and increased costs and inefficiencies from rework. Standardizing handoff communication is a Joint Commission National Patient Safety Goal, and immediate postoperative cardiac surgical patients are a high-risk population needing consistently high quality communication at handoff. After education was done on TeamSTEPPS communication, in situ simulation was the method used to observe the cardiovascular surgical team’s handoff of care to the ICU team. Despite an improvement from preto post-simulation, a statistically significant difference was not shown in the teams’ perception of communication and performance. Skills necessary for team members to contribute to highly reliable, interdisciplinary teams can be attained through high-fidelity in situ simulation to ensure patient safety, but individual attitudes and behaviors can adversely affect team cohesion and outcomes. Individual team members have key roles in assuring effective team communication and performance through the transfer of critical information during handoffs. Training through simulation leads to the appreciation that the technical skills of team members may be secondary to the nontechnical skills, such as communication, in the performance of highly reliable teams. Handoff of Care of the CV Surgical Patient 7 CHAPTER
Abstract Background Hospitalized patients with SARS-CoV2 develop acute kidney injury (AKI) frequently, yet gaps remain in understanding why adults seem to have higher rates compared to children. Our objectives were to evaluate the epidemiology of SARS-CoV2-related AKI across the age spectrum and determine if known risk factors such as illness severity contribute to its pattern. Methods Secondary analysis of ongoing prospective international cohort registry. AKI was defined by KDIGO-creatinine only criteria. Log-linear, logistic and generalized estimating equations assessed odds ratios (OR), risk differences (RD), and 95% confidence intervals (CIs) for AKI and mortality adjusting for sex, pre-existing comorbidities, race/ethnicity, illness severity, and clustering within centers. Sensitivity analyses assessed different baseline creatinine estimators. Results Overall, among 6874 hospitalized patients, 39.6% ( n = 2719) developed AKI. There was a bimodal distribution of AKI by age with peaks in older age (≥60 years) and middle childhood (5–15 years), which persisted despite controlling for illness severity, pre-existing comorbidities, or different baseline creatinine estimators. For example, the adjusted OR of developing AKI among hospitalized patients with SARS-CoV2 was 2.74 (95% CI 1.66–4.56) for 10–15-year-olds compared to 30–35-year-olds and similarly was 2.31 (95% CI 1.71–3.12) for 70–75-year-olds, while adjusted OR dropped to 1.39 (95% CI 0.97–2.00) for 40–45-year-olds compared to 30–35-year-olds. Conclusions SARS-CoV2-related AKI is common with a bimodal age distribution that is not fully explained by known risk factors or confounders. As the pandemic turns to disproportionately impacting younger individuals, this deserves further investigation as the presence of AKI and SARS-CoV2 infection increases hospital mortality risk.
Mechanical ventilation (MV) in coronavirus disease 2019 (COVID-19) patients is associated with high mortality and extensive resource utilization. The aim of this study was to investigate prognostic factors and outcomes associated with prolonged mechanical ventilation (PMV) in COVID-19 patients.This was a retrospective cohort study of COVID-19 patients requiring invasive MV who were hospitalized between 1 March 2020 and 30 June 2021 in the intensive care units (ICUs) of three referral hospitals belonging to a single health system. Data were extracted from electronic health records. PMV was defined as > 17 days of MV.Of 355 patients studied, 86 (24%) required PMV. PMV patients had lower PaO2/FiO2 ratio, higher PCO2, and higher plateau and driving pressures during the first 2 weeks of MV than their short MV (SMV; ⩽ 17 days) counterparts. PMV patients received more proning, neuromuscular blockade, and tracheostomy, had longer ICU and hospital length of stay (LOS), and required discharge to an inpatient rehabilitation facility more frequently (all p < 0.001). Overall 30-day mortality was 43.9%, with no statistically significant difference between PMV and SMV groups. In PMV patients, smoking, Charlson comorbidity index > 6, and week 2 PaO2/FiO2 ratio < 150 and plateau pressure ⩾ 30 were positively associated with 30-day mortality. In a multivariate model, results were directionally consistent with the univariate analysis but did not reach statistical significance.PMV is commonly required in COVID-19 patients with respiratory failure. Despite the higher need for critical care interventions and LOS, more than half of the PMV cohort survived to hospital discharge. Higher PaO2/FiO2 ratio, lower plateau pressure, and fewer comorbidities appear to be associated with survival in this group.
Clinical nurse specialists (CNSs) have the expertise to influence change at the patient, nurse, and system levels. They are clinical experts who understand the challenges of the current health care environment: decreasing costs, ensuring high-quality care, and achieving outcomes. Evidence has demonstrated CNSs’ influence on improving patient outcomes. Although CNSs often lead the work, they can be invisible when the outcomes are presented. A scorecard to display this work could be invaluable to the CNS role, as it would bring transparency to the evidence-based work done. This article describes the development of a CNS scorecard in a 627-bed tertiary hospital.
