Loftsgard, Theodore O.

Abstract Introduction Advanced Practice Providers (APPs; Advanced practice registered nurses, physician assistants) and physicians-in-training (residents, fellows) receive inadequate education on obstructive sleep apnea (OSA)/perioperative OSA risks. However, they are front-line providers assessing these patients. Failure to mitigate this risk has led to significant postoperative morbidity/mortality. We assessed these providers’ perceptions to OSA/perioperative OSA training. Methods Surveys were sent to three provider roles, APPs, residents, and fellows, in four categories of practice at nine academic institutions between May 9-June 30, 2021. Chi-square and Fisher’s exact tests assessed association between survey responses and participant characteristics. False discovery rate adjustment accounted for multiple comparisons, threshold of q<0.05 for statistical significance. Cochran-Mantel-Haenzsel tests evaluated associations stratified by institution. Results 2236 of 6724 (33.3%) participants responded: 48.4% APPs, 11% Fellows and 40.6% Residents. Primary category of practice included: 20.3% Anesthesiology, 8.9% Family Medicine, 34.1%, Internal Medicine (IM)/IM subspecialties, 6.7% Obstetrics/Gynecology/Gynecologic Oncology, 25.9% Surgery/Surgery subspecialties, 4.1% Other.While 93.2% of respondents believed OSA is a risk factor for perioperative complications, fewer respondents reported that they felt adequately trained to assess for OSA (50.9%) in general, with significant differences noted by provider role (range 42-70%, q=0.001) and across the categories of practice (range 12-82%, q=0.001). Even fewer felt adequately trained to assess for OSA in perioperative patients (38.2%) with significant differences noted by provider role (range 31-52%, q=0.001) and across the categories of practice (range 15-84%, q=0.001).Across all categories of practice, respondents indicated that they would like additional educational training about OSA (76.7%). This varied by clinical role (range 64-82%, q=0.003), but not categories of practice (range 73-84%, q=0.13). Furthermore, respondents indicated they also desired additional education about OSA in the perioperative patient (75.5%). This extended across all clinical roles (range 68-77%, q=0.09) and categories of practice (range 72-80%, q=0.09). Conclusion We found significant differences in APP and physician-in-training perceptions of the adequacy of their current training and desire for further OSA/perioperative OSA education. Our study identifies a critical gap and opportunity to improve provider understanding and patient care. Support (If Any) American Academy of Sleep Medicine Foundation (AASMF) award.

Abstract Background Preoperative risk scores facilitate patient selection, but postoperative risk scores may offer valuable information for predicting outcomes. We hypothesized that the postoperative Sequential Organ Failure Assessment (SOFA) score would predict mortality after left ventricular assist device (LVAD) implantation. Methods We retrospectively reviewed data from 294 continuous‐flow LVAD implantations performed at Mayo Clinic Rochester during 2007 to 2015. We calculated the EuroSCORE, HeartMate‐II Risk Score, and RV Failure Risk Score from preoperative data and the APACHE III and Post Cardiac Surgery (POCAS) risk scores from postoperative data. Daily, maximum, and mean SOFA scores were calculated for the first 5 postoperative days. The area under receiver‐operator characteristic curves (AUC) was calculated to compare the scoring systems' ability to predict 30‐day, 90‐day, and 1‐year mortality. Results For the entire cohort, mortality was 5% at 30 days, 10% at 90 days, and 19% at 1 year. The Day 1 SOFA score had better discrimination for 30‐day mortality (AUC 0.77) than the preoperative risk scores or the APACHE III and POCAS postoperative scores. The maximum SOFA score had the best discrimination for 30‐day mortality (AUC 0.86), and the mean SOFA score had the best discrimination for 90‐day mortality (AUC 0.82) and 1‐year mortality (AUC 0.76). Conclusions We observed that postoperative mean and maximum SOFA scores in LVAD recipients predict short‐term and intermediate‐term mortality better than preoperative risk scores do. However, because preoperative and postoperative risk scores each contribute unique information, they are best used in concert to predict outcomes after LVAD implantation.

Objective: Predictors of long-term functional impairment in acute respiratory failure of all causes are poorly understood. Our objective was to assess the frequency and predictors of long-term functional impairment or death after invasive mechanical ventilation for acute respiratory failure of all causes. Design: Population-based, observational cohort study. Setting: Eight adult ICUs of a single center. Patients: All adult patients from Olmsted County, Minnesota, without baseline functional impairment who received mechanical ventilation in ICUs for acute respiratory failure of all causes from 2005 through 2009. Interventions: None. Measurements and Main Results: In total, 743 patients without baseline functional impairment received mechanical ventilation in the ICU. At 1- and 5-year follow-up, the rates of survival with return to baseline functional ability were 61% (366/597) and 53% (356/669). Among 71 patients with new functional impairment at 1 year, 55% (39/71) had recovered and were alive without functional impairment at 5 years. Factors predictive of new functional impairment or death at 1 year were age, comorbidities, discharge to other than home, mechanical ventilation of 7 days or longer, and stroke. Of factors known at the time of intubation, the following are predictive of new functional impairment or death: age, comorbidities, nonsurgical condition, Acute Physiology and Chronic Health Evaluation III score, stroke, and sepsis. Post hoc sensitivity analyses revealed no significant change in predictor variables in patient populations when stroke was excluded or who received more than 48 hours of mechanical ventilation. Conclusions: At 1- and 5-year follow-up, many patients who received mechanical ventilation for acute respiratory failure from all causes are no longer alive or have new moderate-to-severe functional impairment. Functional recovery between year 1 and year 5 is possible and common. Sepsis, stroke, illness severity, age, and comorbidities predict long-term functional outcome at intubation.

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.

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.

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.