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IMPORTANCE: Phenobarbital use in ICU alcohol withdrawal syndrome (AWS) may reflect severe or refractory withdrawal and treatment escalation, making multicenter data important to understand its use within ICU practice and its relationship with clinical outcomes. OBJECTIVES: To evaluate phenobarbital use in real-world ICU AWS as a marker of severe or refractory withdrawal and treatment escalation. We also examined its association with time-to-discharge and safety outcomes compared with nonphenobarbital regimens. DESIGN, SETTING, AND PARTICIPANTS: Multicenter retrospective cohort study using multiple imputation and propensity score matching. Adults with AWS, defined as Clinical Institute Withdrawal Assessment for Alcohol, revised (CIWA-Ar) score greater than or equal to 10, were included if they received a phenobarbital-based or nonphenobarbital-based regimen in ICUs across a large academic health system from June 30, 2017, to July 1, 2024. Postoperative ICU admissions were excluded. MAIN OUTCOMES AND MEASURES: Primary outcomes were time to ICU and hospital discharge alive from treatment initiation. Safety outcomes were hypotension, new intubation, and aspiration within 48 hours. RESULTS: Of 1216 patients, 345 (28.4%) received phenobarbital. Before matching, phenobarbital-treated patients had higher CIWA-Ar, Acute Physiology and Chronic Health Evaluation III, and pre-ICU benzodiazepine exposure, consistent with more severe or refractory withdrawal. In adjusted time-to-discharge models, phenobarbital use was not significantly associated with time to hospital discharge alive (discharge rate ratio [DRR], 0.91; 95% CI, 0.74–1.12; p = 0.370) or ICU discharge alive (DRR, 0.77; 95% CI, 0.59–1.01; p = 0.057). Hypotension and intubation were similar, and aspiration was less frequent with phenobarbital. CONCLUSIONS: In a contemporary ICU cohort, phenobarbital use reflected treatment escalation in patients with more severe or refractory AWS. After adjustment, time to ICU and hospital discharge alive did not differ significantly, hypotension and intubation were similar, and aspiration was less frequent with phenobarbital. Future studies should define optimal timing, dosing, and patient selection.

ABSTRACT Background: Although central venous oxygen saturation (ScvO2) has been used as an endpoint for the treatment of circulatory shock, its role in guiding the evaluation and treatment of patients with severe hypoxemia remains to be assessed. The aim of this study was to assess the incidence of low ScvO2 in a cohort of hypoxemic patients and the association of this finding with differences in clinical management and patient outcomes. Methods: Retrospective review of data from adult intensive care unit patients with hypoxemia who required invasive mechanical ventilation for over 24 h and had at least one ScvO2 measured within 6 h of a PaO2/FiO2 ratio <200. Results: Of 442 mechanically ventilated patients with severe hypoxemia, 249 (56%) had an ScvO2 <70%. When compared with patients with ScvO2 ≥70%, those with low ScvO2 had worse systemic oxygenation and hemodynamic parameters and were more likely to receive red blood cell transfusions (31.7% vs. 18.1%, P = 0.001), epinephrine (27.3% vs. 16.6%, P = 0.007), and inodilators. Outcomes such as median intensive care unit length of stay (7.5 vs. 8.3 days, P = 0.337) and hospital mortality (39.8% vs. 35.7%, P = 0.389) were not different between groups. When stratified by the central venous-to-arterial CO2 difference (∆PCO2), patients with a low ScvO2 and normal ∆PCO2 had lower median PaO2 and hemoglobin levels and received more red blood cell transfusions, whereas those with an increased ∆PCO2 had a lower pulse pressure and cardiac index and were more likely to receive epinephrine and milrinone. Conclusion: Low ScvO2 is frequently observed in mechanically ventilated patients with severe hypoxemia, and these patients receive different interventions. Clinicians often use therapies targeting systemic oxygen delivery to correct low ScvO2. Prospective research is needed to identify patients with severe hypoxemia that might benefit from interventions targeting systemic oxygen delivery.

Objectives: The objective of this derivation and validation study was to develop and validate a search strategy algorithm to detect patients who used professional interpreter services. Methods: We identified all adults who had at least one intensive care unit admission during their hospital stay across the Mayo Clinic Enterprise between 1 January 2015 and 30 June 2020. Three random subsets of 100 patients were extracted from 60,268 patients to develop the search strategy algorithm. Two physician reviewers conducted gold standard manual chart review and any discrepancies were resolved by a third reviewer. These results were compared with the search strategy algorithm each time it was refined. Sensitivity and specificity were calculated during each phase by comparing the search strategy results to the reference gold standard for both derivation cohorts and the final validation cohort. Results: The first search strategy resulted in a sensitivity of 100% and a specificity of 89%. The second revised search strategy achieved a sensitivity of 100% and a specificity of 87%. The final version of the search strategy was applied to the validation subset and sensitivity and specificity were 100% and 89%, respectively. Conclusion: We derived and validated a search strategy algorithm to assess interpreter use among hospitalized patients. Using a search strategy algorithm with high sensitivity and specificity can reduce the time required to abstract data from the electronic medical records compared with manual data abstraction.

Abstract Background Evidence exists that disparities occur for patients with Limited English Proficiency (LEP) that impact the quality of medical services, outcomes, and patient satisfaction. Using interpreter services can reduce these negative impacts; therefore optimizing our understanding of interpreter use during patient care is important. Manual chart review is time-consuming. The objective of this study was to develop and validate a search strategy algorithm to detect patients who used professional interpreter services during their hospitalization. Methods We identified all adults who were admitted to the hospital who had at least one Intensive Care Units (ICU) admission during the hospital stay across the Mayo Clinic Enterprise between January 1, 2015, and June 30, 2020. Three random subsets of 100 patients were extracted from 60,268 patients admitted to an ICU to develop the search strategy algorithm. A physician reviewer conducted the gold standard manual chart review and these results were compared with the search strategy algorithm each time it was refined. Iterative modification of the search strategy was performed and sensitivity and specificity were calculated by comparing the results to the reference standard for both derivation cohorts and the final validation cohort. Any uncertainties were resolved by a second physician researcher. Results The first search strategy resulted in a specificity of 95.7% and a sensitivity of 93.5%. The second revised search strategy achieved a specificity of 96.7% and a sensitivity of 92.3%. The final version of the search strategy was applied to the validation subset and specificity and sensitivity were 92.6% and 100% respectively. Conclusion We successfully derived and validated a search strategy algorithm to assess interpreter use among hospitalized patients. Developing a search strategy algorithm with a high sensitivity can reduce the time required to abstract data from the medical record compared to manual chart review. This can be used to examine and understand patient needs for research and quality improvement initiatives.

BACKGROUND: Liberal oxygenation during mechanical ventilation is harmful in critically ill patients and in certain subsets of patients, including those with stroke, acute myocardial infarction, and cardiac arrest. Surveillance through electronic medical records improves safety of mechanical ventilation in the ICU. To date, this practice has not been used for oxygen titration ( F IO 2 ) in adults. We hypothesize that a surveillance system based on the electronic medical record to alert respiratory therapists to titrate F IO 2 is feasible, safe, and efficacious. METHODS: In this pilot study, mechanically ventilated subjects were randomized to respiratory therapist-driven F IO 2 titration after an electronic alert versus standard of care (ie, titration based on physician order). An automated surveillance system utilizing a hyperoxemia-detection algorithm generated an electronic alert to a respiratory therapist’s pager. Hyperoxemia was defined as F IO 2 > 0.5 and S pO 2 > 95% for > 30 min. No other aspects of treatment were changed. We assessed feasibility, safety, and preliminary efficacy. Primary outcome was duration of hyperoxemia during mechanical ventilation. An unsafe outcome was identified as hypoxemia ( S pO 2 < 88%) within 1 h after titration per alert. Feasibility was assessed by a survey of respiratory therapists. RESULTS: Of 226 randomized subjects, 31 were excluded (eg, programming errors of the electronic alerts, no consent, physician discretion). We included 195 subjects, of whom 86 were in the intervention arm. Alert accuracy was 78%, and respiratory therapists responded to 64% of the alerts. During mechanical ventilation, exposure to hyperoxemia significantly decreased in the intervention group (median 13.5 h [interquartile range 6.2–29.4] vs 18.8 h [interquartile range 9.6–37.4]). No episodes of significant hypoxemia were registered. Most respiratory therapists agreed that the alert was helpful in reducing excessive oxygen exposure. CONCLUSIONS: Use of an electronic surveillance system to titrate F IO 2 was safe and feasible and showed preliminary efficacy in reducing hyperoxemia. Our study serves to justify larger randomized controlled trials for F IO 2 titration.

BACKGROUNDRecipients of hematopoietic stem cell transplantation (HSCT) are among the highest consumers of allogeneic red blood cell (RBC) and platelet (PLT) components. The impact of patient blood management (PBM) efforts on HSCT recipients is poorly understood.STUDY DESIGN AND METHODSThis observational study assessed changes in blood product use and patient‐centered outcomes before and after implementing a multidisciplinary PBM program for patients undergoing HSCT at a large academic medical center. The pre‐PBM cohort was treated from January 1 through September 31, 2013; the post‐PBM cohort was treated from January 1 through September 31, 2015.RESULTSWe identified 708 patients; 284 of 352 (80.7%) in the pre‐PBM group and 225 of 356 (63.2%) in the post‐PBM group received allogeneic RBCs (p < 0.001). Median (interquartile range [IQR]) RBC volumes were higher before PBM than after PBM (3 [2‐4] units vs. 2 [1‐4] units; p = 0.004). A total of 259 of 284 pre‐PBM patients (91.2%) and 57 of 225 (25.3%) post‐PBM patients received RBC transfusions when hemoglobin levels were more than 7 g/dL (p < 0.001). The median (IQR) PLT transfusion quantities was 3 (2‐5) units for pre‐PBM patients and 2 (1‐4) units for post‐PBM patients (p < 0.001). For patients with PLT counts of more than 10 × 109/L, a total of 1219 PLT units (73.4%) were transfused before PBM and 691 units (48.8%) were transfused after PBM (p < 0.001). Estimated transfusion expenditures were reduced by $617,152 (18.3%). We noted no differences in clinical outcomes or transfusion‐related adverse events.CONCLUSIONPatient blood management implementation for HSCT recipients was associated with marked reductions in allogeneic RBC and PLT transfusions and decreased transfusion‐related costs with no detrimental impact on clinical outcomes.

Objectives: To study the effects of tele-ICU monitoring on interhospital transfers from community-based ICUs to the quaternary care hospital at Mayo Clinic, Rochester, MN. Design: This is a retrospective review of data on interhospital transfers comparing trends prior to tele-ICU implementation to those following implementation. Setting: Tele-ICU programs are increasingly utilized to fill resource gaps in caring for critically ill patients. How such programs impact population and bed management within a healthcare system are not known. Mayo Clinic serves as quaternary referral care center for hospitals in the region within the Mayo Clinic Health System. In August 2013, we implemented tele-ICU monitoring at six Mayo Clinic Health System hospital ICUs. Subjects: All adult ICU admissions during the study period (preimplementation phase: January 1, 2012, to December 31, 2012; and postimplementation phase: January 1, 2014, to December 31, 2014) in any of the six specified community ICUs were included in the study. Measurements and Main Results: Interhospital transfers significantly increased post institution of tele-ICU (p = 0.040) and was attributed primarily to transfer from less specialized ICUs (p = 0.037) as compared with more resource-intensive ICUs (p = 0.88). However, for such patient transfers, there were no significant differences before and after severity of illness scores, ICU mortality, or inhospital mortality. Conclusion: In a regional healthcare system, implementation of a tele-ICU program is associated with an increase in interhospital transfers from less resourced ICUs to the referral center, a trend that is not readily explained by increased severity of illness.