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Background: Sedatives are frequently administered in an ICU and are often dependent on patient population and ICU type. These differences may affect patient-centered outcomes. Objective: Our primary objective was to identify differences in sedation practice among three different ICU types at an academic medical center. Methods: This was a retrospective cross-sectional study of adult patients (≥18 years) requiring a continuous sedative for ≥6 h and admitted to a medical ICU, surgical ICU, and medical/surgical ICU at a single academic medical center in Rochester Minnesota from June 1, 2018 to May 31, 2020. We extracted baseline characteristics; sedative type, dose, and duration; concomitant therapies; and patient outcomes. Summary statistics are presented. Results: A total of 2154 patients met our study criteria (1010 from medical ICU, 539 from surgical ICU, 605 from medical/surgical ICU). Propofol was the most frequently used sedative in all ICU settings (74.1% in medical ICU, 53.8% in surgical ICU, 68.9% in medical/surgical ICU, and 67.5% in all ICUs). The mortality rate was highest in the medical/surgical ICU (40.2% in medical ICU, 26.0% in surgical ICU, 40.7% in medical/surgical ICU, and 36.8% in all ICUs). 90.7% of all patients required mechanical ventilation (92.9% in medical ICU, 88.5% in surgical ICU, and 89.1% in medical/surgical ICU). Overall, patients spent more time in light sedation than deep sedation, 75% versus 10.3%, during their ICU admission. Patients in the medical ICU spent a greater proportion of time positive for delirium than the other ICU settings (35.7% in medical ICU, 9.8% in surgical ICU, and 20% in medical/surgical ICU). Similar amounts of opioids (morphine milligram equivalents) were used during the continuous sedative infusion between the three settings. Conclusions: We observed that patients in the medical ICU spent more time deeply sedated with multiple agents which was associated with a higher proportion of delirium. [ABSTRACT FROM AUTHOR]

Background: Pharmacogenomic (PGx) testing has the potential to provide information on specific drug-metabolizing enzymes that may lead to an absence, reduction, or increase in medication effect in patients. There is a paucity of prospective studies examining PGx testing in the intensive care unit (ICU) setting. Research Aims: To (1) obtain a PGx panel in a sample of cardiovascular (CV) surgical patients with a planned ICU stay and identify phenotypes, and (2) identify PGx variants that may inform treatment regimens and may warrant prescribing adjustments. Design and Methods: Descriptive, single cohort cross-sectional design. Adult (≥18 years) CV patients with an anticipated postoperative ICU stay were enrolled from a large Midwestern tertiary academic medical center. Eligible patients provided informed consent at the time of their CV clinic appointment; PGx testing was then ordered. Pharmacogenomic testing consisted of the Focused Pharmacogenomics panel which included 10 genes and 55 medications. Results: Of the 272 patients screened, 100 (68% male) patients completed PGx testing (mean age 66.2 ± 9.6 years, mean Acute Physiology, Age and Chronic Health Evaluation III score 76.1 ± standard deviation). Pharmacogenomic results were available in the medical record within a median of 52.4 hours (interquartile range: 33.4-80.3). Pharmacogenomic testing results identified 5 CYP2C19 poor metabolizers, 26 CYP2C19 rapid metabolizers, 5 CYP2C19 ultrarapid metabolizers, 6 CYP2D6 poor metabolizers, 5 CYP2D6 poor to intermediate metabolizers, and 2 CYP2D6 rapid metabolizers identified. Overall, 98% of patients had actionable or potentially actionable PGx results, including 82% for warfarin, 65% for propafenone, 65% for tramadol, 46% for oxycodone, 45% for metoprolol, 33% for clopidogrel, 32% for proton pump inhibitors, 25% for statins, and 12% for haloperidol. Conclusions: A significant portion of patients had identified genetic variants that may warrant changes in medication management during and after CV-ICU stay. It remains to be seen if PGx testing leads to improvements in ICU patient outcomes. [ABSTRACT FROM AUTHOR]

Objectives: Our primary aim was to ascertain the frequency of postintubation hypotension in immunocompromised critically ill adults with secondary aims of arriving at potential risk factors for the development of postintubation hypotension and its impact on patient-related outcomes. Methods: Critically ill adult patients (≥18 years) were included from January 1, 2010, to December 31, 2014. We defined immunocompromised as patients with any solid organ or nonsolid organ malignancy or transplant, whether solid organ or not, requiring current chemotherapy. Postintubation hypotension was defined as a decrease in systolic blood pressure to less than 90 mm Hg or a decrease in mean arterial pressure to less than 65 mm Hg or the initiation of any vasopressor medication. Patients were then stratified based on development of postintubation hypotension. Potential risk factors and intensive care unit (ICU) outcome metrics were electronically captured by a validated data mart system. Results: The final cohort included 269 patients. Postintubation hypotension occurred in 141 (52%; 95% confidence interval: 46-58) patients. Several risk factors predicted postintubation hypotension on univariate analysis; however, only Acute Physiology and Chronic Health Evaluation III score in the first 24 hours, preintubation shock status, and preintubation hemodynamic instability remained significant on all 4 multivariate analyses. Patients developing postintubation hypotension had higher ICU and hospital mortality (54 [38%] vs 31 [24%], P =.01; 69 [49%] vs 47 [37%], P =.04). Conclusion: Based on previous literature, we found a higher frequency of postintubation hypotension in the immunocompromised than in the nonimmunocompromised critically ill adult patients. Acute Physiology and Chronic Health Evaluation III score in the first 24 hours, preintubation shock status, and preintubation hemodynamic instability were significant predictors on multivariate analyses. Postintubation hypotension led to higher ICU and hospital mortality in those experiencing this complication. [ABSTRACT FROM AUTHOR]

Objective: To describe the practice of intubation of the critically ill at a single academic institution, Mayo Clinic's campus in Rochester, Minnesota, and to report the incidence of immediate postintubation complications. Patients and Methods: Critically ill adult (≥18 years) patients admitted to a medical–surgical intensive care unit from January 1, 2013, to December 31, 2014, who required endotracheal intubation included. Results: The final cohort included 420 patients. The mean age at intubation was 62.9 ± 16.3 years, with 58% (244) of the cohort as male. The most common reason for intubation was respiratory failure (282 [67%]). The most common airway device used was video laryngoscopy (204 [49%]). Paralysis was used in 264 (63%) patients, with ketamine as the most common sedative (194 [46%]). The most common complication was hypotension (170 [41%]; 95% confidence interval [CI]: 35.7-45.3) followed by hypoxemia (74 [17.6%]; 95% CI: 14.1-21.6), with difficult intubation occurring in 20 (5%; 95% CI: 2.9-7.3). Conclusion: We found a high success rate of first-pass intubation in critically ill patients (89.8%), despite the procedure being done primarily by trainees 92.6% of the time; video was the preferred method of laryngoscopy (48.6%). Although our difficult intubation (4.8%) and complication rates typically associated with the act of intubation such as aspiration (1.2%; 95% CI: 0.4-2.8) and esophageal intubation (0.2%; 95% CI: 0.01-1.3) are very low compared to other published rates (8.09%), postintubation hypotension (40.5%) and hypoxemia (17.6%) higher. [ABSTRACT FROM AUTHOR]

Purpose: To assess whether exposure to modified shock index (MSI) in the first 24 hours of intensive care unit (ICU) admission is associated with increased in-hospital mortality. Methods: Adult critically ill patients were included in a case–control design with 1:2 matching. Cases (death) and controls (alive) were abstracted by a reviewer blinded to exposure status (MSI). Cases were matched to controls on 3 factors—age, end-stage renal disease, and ICU admission diagnosis. Results: Eighty-three cases and 159 controls were included. On univariate analysis, lorazepam administration (odds ratio [OR]: 5.75, confidence interval [CI] = 2.28-14.47; P ≤ .01), shock requiring vasopressors (OR: 3.62, CI = 1.77-7.40; P ≤ .01), maximum MSI (OR: 2.77 per unit, CI = 1.63-4.71; P ≤ .001), and elevated acute physiologic and chronic health evaluation (APACHE) III score at 1 hour (OR: 1.41 per 10 units, CI = 1.19-1.66; P ≤ .001) were associated with mortality. Maximum MSI (OR: 1.93 per unit, CI = 1.07-3.48, P = .03) and APACHE III score at 1 hour (OR: 1.29 per 10 units, CI = 1.09-1.53; P = .003) remained significant with mortality in the multivariate analysis. The optimal cutoff point for high MSI and mortality was 1.8. Conclusion: Critically ill patients who demonstrate an elevated MSI within the first 24 hours of ICU admission have a significant mortality risk. Given that MSI is easily calculated at the bedside, clinicians may institute interventions earlier which could improve survival. [ABSTRACT FROM AUTHOR]

Objectives: In the last decade, the practice of intubation in the intensive care unit (ICU) has evolved. To further examine the current intubation practice in the ICU, we administered a survey to critical care physicians. Design: Cross-sectional survey study design. Setting: Thirty-two academic/nonacademic centers nationally and internationally. Measurements and Main Results: The survey was developed among a core group of physicians with the assistance of the Survey Research Center at Mayo Clinic, Rochester, Minnesota. The survey was pilot tested for functionality and reliability. The response rate was 82 (51%) of 160 among the 32 centers. Although propofol was the induction drug of choice, there was a significant difference with actual ketamine use and those who indicated a preference for it (ketamine: 52% vs 61%; P < .001). The most common airway device used for intubation was direct laryngoscopy (Miller laryngoscope blade) at 56 (68%) followed by video laryngoscopy at 26 (32%). Most (>90%) indicated that they have a difficult airway cart, but only 55 (67%) indicated they have a documented plan to handle a difficult airway with even lower results for documented review of adverse events (49%). Conclusion: Although propofol was the induction drug of choice, ketamine was a medication that many preferred to use, possibly relating to the fact that the most common complication postintubation is hypotension. Direct laryngoscopy remains the primary airway device for endotracheal intubation. Finally, although the majority stated they had a difficult airway cart available, most did not have a documented plan in place when encountering a difficult airway or a documented process to review adverse events surrounding intubation. [ABSTRACT FROM AUTHOR]

With the ever-increasing adoption of shift models for intensive care unit (ICU) staffing, improving shift-to-shift handoffs represents an important step in reducing medical errors. The authors developed an electronic handoff tool integrated within the existing electronic medical record to improve handoffs in an adult ICU. First, stakeholder (staff intensivists, fellows, and nurse practitioners/physician assistants) input was sought to define what elements they perceived as being essential to a quality handoff. The principal outcome measure of handoff accuracy was the concordance between data transmitted by the outgoing team and data received by the incoming team (termed as agreement). Based on stakeholder input, the authors developed the handoff tool and provided regular education on its use. Handoffs were observed before and after implementation of the tool. There was an increase in the level of agreement for tasks and other important data points handed off without an increase in the time required to complete the handoff. [ABSTRACT FROM AUTHOR]

Rationale, aims and objectives Checklists have been adopted by various institutions to improve patient outcomes. In particular, readmission prevention checklists may be of potential value to improve patient care and reduce medical costs. As a result, a prior quality improvement study was conducted to create an intensive care unit readmission prevention checklist. The previous pilot demonstrated zero readmissions when the readmission prevention checklist was utilized but yielded low compliance (30%). Thus, a subsequent quality initiative was undertaken to refine the readmission prevention checklist with the primary aim of improved compliance while maintaining a reduced readmission rate that was observed with the original quality improvement study. Method A single-centre, cross-sectional study for assessing baseline data and a prospective observational study to assess the effectiveness of a refined readmission prevention checklist tool in a 20-bed tertiary medical-surgical intensive care unit at an academic medical centre in Rochester, MN was conducted. Medical patients admitted through the emergency department, upon direct transfer from outside facility, and post-operative surgical patients at our institution were included. A refined readmission prevention checklist tool was administered during an 8-week pilot period for medical and post-operative surgical patients. Results The refined readmission prevention checklist resulted in an even lower compliance (10.5%) from the initial phase likely resulting from utilization of a paper readmission prevention checklist in an electronic medical environment. Moreover, the refined readmission prevention checklist demonstrated a 22% unplanned readmission rate for patients in which the tool was utilized. Conclusions In conclusion, the findings of the current quality improvement study may serve to rethink the process of health care delivery that applies paper tools in an electronic medical environment. [ABSTRACT FROM AUTHOR]