Gajic, Ognjen

To identify medical phrases utilized by the critical care team that may have an unintended impact on the critically ill patient, we administered an anonymous survey to multi-professional critical care team members. We elicited examples of imprecise language that may have a negative emotional impact on the critically ill. Of the 1600 providers surveyed, 265 offered 1379 examples (912 unique) which were clustered into 5 categories. Medical jargon (eg, “riding the vent”) was most prevalent (n = 549). There were 217 negative suggestions (eg, “you will feel a stick and a burn”). Hyperboles (eg, “black cloud”) were common (n = 198) while homonyms (ie “he fibbed”) accounted for 150 examples. Phrases such as “code brown in there” were categorized as metonyms (n = 144). 121 metaphors/similes (eg, “rearranging deck chairs on the Titanic”) were provided. Phrases that have the potential to negatively impact critically ill patient perceptions are commonplace in critical care practice. Whether these everyday communication habits lead to an unintended nocebo effect on mental health outcomes of the critically ill deserves further study.

Abstract Beta-lactam antibiotics are widely used in the intensive care unit due to their favorable effectiveness and safety profiles. Beta-lactams given to patients with sepsis must be delivered as soon as possible after infection recognition (early), treat the suspected organism (appropriate), and be administered at a dose that eradicates the infection (adequate). Early and appropriate antibiotic delivery occurs in >90% of patients, but less than half of patients with sepsis achieve adequate antibiotic exposure. This project aimed to address this quality gap and improve beta-lactam adequacy using the Define, Measure, Analyze, Improve, and Control Lean Six Sigma quality improvement framework. A multidisciplinary steering committee was formed, which completed a stakeholder analysis to define the gap in practice. An Ishikawa cause and effect (Fishbone) diagram was used to identify the root causes and an impact/effort grid facilitated prioritization of interventions. An intervention that included bundled education with the use of therapeutic drug monitoring (TDM; i.e. drug-level testing) was projected to have the highest impact relative to the amount of effort and selected to address beta-lactam inadequacy in the critically ill. The education and TDM intervention were deployed through a Plan, Do, Study, Act cycle. In the 3 months after “go-live,” 54 episodes of beta-lactam TDM occurred in 41 unique intensive care unit patients. The primary quality metric of beta-lactam adequacy was achieved in 94% of individuals after the intervention. Ninety-four percent of clinicians gauged the education provided as sufficient. The primary counterbalance of antimicrobial days of therapy, a core antimicrobial stewardship metric, was unchanged over time (favorable result; P = .73). Application of the Define, Measure, Analyze, Improve, and Control Lean Six Sigma quality improvement framework effectively improved beta-lactam adequacy in critically ill patients. The approach taken in this quality improvement project is widely generalizable to other drugs, drug classes, or settings to increase the adequacy of drug exposure.

Background: Troponin-T (TnT) elevation is common in severe sepsis and septic shock, but the impact on mortality and other clinical outcomes remains uncertain. Methods: This was a retrospective review of adult patients with severe sepsis and septic shock admitted to all the intensive care units (ICU) at Mayo Clinic, Rochester from January 2012 to December 2014. Patients with congenital heart disease or pre-existing moderate or greater valvular disease were excluded. TnT elevation was defined as initial TnT ≥0.1 ng/mL or rise in 3- and 6-hour TnT ≥0.03 ng/mL. Primary outcomes included ICU, hospital, 28-day and 1-year mortality and secondary outcomes were need for and duration of non-invasive ventilation or invasive mechanical ventilation, ICU readmission, and ICU and hospital length of stay. Two-tailed p <0.05 was considered statistically significant. Results: During this three-year period, TnT was measured in 372/765 patients (49%) with septic shock with TnT elevation noted in 329/372 (88%) patients. In patients with and without TnT elevation, initial TnT was 0.14±0.26 vs. 0.14±0.02 ng/mL, p =0.57 and peak TnT was 0.20±0.36 vs. 0.08±0.11 ng/mL, p <0.001. Severity of illness scores, laboratory values, vasopressor use, clinical parameters and medications were similar between patients with and without TnT elevation, except that patients with TnT elevation were older and had more frequent history of coronary atherosclerosis, chronic kidney disease, heart failure and atrial fibrillation (all p <0.05). There was no significant difference in ICU mortality [43 (13%) vs. 8 (19%), p =0.34] and hospital mortality [75 (23%) vs. 12 (28%), p =0.45] between patients with and without TnT elevation. Long-term follow-up of 220/329 (67%) patients showed no significant difference in 28-day mortality [97/216 (45%) vs. 1/4 (25%); p =0.63] or 1-year mortality [163/216 (75%) vs. 4/4 (100%); p =0.58]. There was no significant difference in any of the secondary outcomes between patients with and without elevated TnT (all p >0.05). There was no difference in mortality with increasing quartiles of peak TnT. Conclusions: Troponin elevation is associated with older age and higher comorbidity burden, but does not predict mortality in patients with severe sepsis and septic shock.

ABSTRACT Objective: The aim of the study is to develop a predictive model for in-hospital mortality in critically ill patients with cirrhosis and sepsis, using clinical and laboratory data. Design: This is a retrospective cohort study. Setting: Medical and mixed intensive care units (ICUs) of a tertiary medical center. Patients: Cirrhotic adults were admitted with sepsis to the ICUs from January of 2007 to May of 2017. Interventions: None. Measurements and Main Results: Of 2,595 ICU admissions of patients with cirrhosis, 277 with first ICU admission for sepsis were included in the analysis, and 37% died in the hospital. Patients who stayed in the ICU for at least 6 h (n = 275) were considered for the multivariate model. Ten-fold cross-validation was used to estimate best parameter values and model performance, and the final model was chosen as the model maximizing area under the receiver-operating characteristic curve. Variables in order of impact were Acute Physiology and Chronic Health Evaluation (APACHE) III score, initial serum lactate, conjugated bilirubin, serum creatinine, model for end-stage liver disease score, age, body mass index, and serum hemoglobin. The final best model from cross-validation presented an area under the receiver operator characteristic curve (AUC) of 0.75, using a cut-point of 50% estimated probability, sensitivity and specificity were 0.46 and 0.90, respectively, with positive predictive value of 0.72 and negative predictive value of 0.74. These results were similar to the APACHE III only model (AUC = 0.74, sensitivity = 0.43, specificity = 0.89, positive predictive value = 0.69, negative predictive value = 0.73). Conclusion: The combination of initial serum lactate level, conjugated bilirubin, initial serum creatinine, model for end-stage liver disease score, age, body mass index, and serum hemoglobin did not yield meaningful improvement in the AUC and did not provide advantage over the APACHE III score for the prediction of in-hospital mortality in critically ill patients with cirrhosis and sepsis.

Abstract Rationale Endotracheal intubation is the third most common bedside procedure in U.S. hospitals. In over 40% of intubations, preventable complications attributable to human factors occur. A better understanding of team dynamics during intubation may improve patient safety. Objectives To explore team dynamics and safety-related actions during emergent endotracheal intubations in the emergency department and intensive care unit and to engage members of the care team in reflection for process improvement through a novel video-based team debriefing technique. Methods Video-reflexive ethnography involves in situ video recording and reflexive discussions with practitioners to scrutinize behaviors and to identify opportunities for improvement. In this study, real-time intubations were recorded in the emergency department and intensive care unit at Mayo Clinic Rochester, and facilitated video-reflexive sessions were conducted with the multidisciplinary procedural teams. Themes about team dynamics and safety-related action were identified inductively from transcriptions of recorded sessions. Results Between December 2022 and January 2023, eight video-reflexive sessions were conducted with a total of 78 participants. Multidisciplinary members included nurses (n = 23), respiratory therapists (n = 16), pharmacists (n = 7), advanced practitioners (n = 5), and physicians (n = 26). In video-reflexive discussions, major safety gaps were identified and several solutions were proposed related to the use of a multidisciplinary intubation checklist, standardized communication and team positioning, developing a culture of safety, and routinely debriefing after the procedure. Conclusions The findings of this study may inform the development of a team supervision model for emergent endotracheal intubations. This approach could integrate key components such as a multidisciplinary intubation checklist, standardized communication and team positioning, a culture of safety, and debriefing as part of the procedure itself.

Abstract Background The electronic health record (EHR) presents new opportunities for the timely identification of patients at high risk of critical illness and the implementation of preventive strategies. This study aims to externally validate an EHR‐based Elders Risk Assessment (ERA) score to identify older patients at high risk of future critical illness during a primary care visit. Methods This historical cohort study included patients aged ≥65 years who had primary care visits at Mayo Clinic Rochester, MN, between July 2019 and December 2021. The ERA score at the time of the primary care visit was used to predict critical illness, defined as death or ICU admission within 1 year of the visit. Results A total of 12,885 patients were included in the analysis. The median age at the time of the primary care visit was 75 years, with 44.6% being male. 93.7% of participants were White, and 64.2% were married. The median (25th, 75th percentile) ERA score was 4 (0, 9). 11.3% of study participants were admitted to the ICU or died within 1 year of the visit. The ERA score predicted critical illness within 1 year of a primary care visit with an area under the receiver operating characteristic curve of 0.84 (95% CI 0.83–0.85), which indicates good discrimination. An ERA score of 9 was identified as optimal for implementing and testing potential preventive strategies, with the odds ratio of having the primary outcome in patients with ERA score ≥9 being 11.33 (95%CI 9.98–12.87). Conclusions This simple EHR‐based risk assessment model can predict critical illness within 1 year of primary care visits in older patients. The findings of this study can serve as a basis for testing and implementation of preventive strategies to promote the well‐being of older adults at risk of critical illness and its consequences.

Objective: Given limited critical care resources and an aging population, early interventions to prevent critical illness are vital. In this work, we measured post-implementation outcomes after introducing a novel electronic scoring system (Elders Risk Assessment—ERA) and a risk-factor checklist, Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN), to detect older patients at high risk of critical illness in a primary care setting. Methods: The study was conducted at a family medicine clinic in Kasson, MN. The ADAPT-ITT framework was used to modify the CERTAIN checklist for primary care during 2 co-design workshops involving interdisciplinary clinicians, held in April 2023. The ERA score and modified CERTAIN checklist were implemented between May and July 2023 and identify and assess all patients age ≥60 years at risk of critical illness during their primary care visits. Implementation outcomes were evaluated at the end of the study via an anonymous survey and EHR data extraction. Results: Fourteen clinicians participated in 2 co-design workshops. A total of 19 clinicians participated in a post-pilot survey. All survey items were rated on a 5-point Likert type scale. Mean acceptability of the ERA score and checklist was rated 3.35 (SD = 0.75) and 3.09 (SD = 0.64), respectively. Appropriateness had a mean rating of 3.38 (SD = 0.82) for the ERA score and 3.19 (SD = 0.59) for the checklist. Mean feasibility was rated 3.38(SD = 0.85) and 2.92 (SD = 0.76) for the ERA score and checklist, respectively. The adoption rate was 50% (19/38) among clinicians, but the reach was low at 17% (49/289) of eligible patients. Conclusions: This pilot study evaluated the implementation of an intervention that introduced the ERA score and CERTAIN checklist into a primary care practice. Results indicate moderate acceptability, appropriateness, and feasibility of the ERA score, and similar ratings for the checklist, with slightly lower feasibility. While checklist adoption was moderate, reach was limited, indicating inconsistent use. Recommendations: We plan to use the open-ended resurvey responses to further modify the CERTAIN-FM checklist and implementation process. The ADAPT-ITT framework is a useful model for adapting the checklist to meet the primary care clinician needs.