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Objectives There is substantial practice variation in the management strategies for atrial fibrillation (AF) with rapid ventricular rate (RVR) and hemodynamic instability in critically ill patients. This study aimed to evaluate the use and effectiveness of direct current cardioversion (DCCV) for unstable AF RVR in the intensive care unit (ICU). Design Multicenter retrospective cohort study. Setting Non-cardiac/cardiovascular surgery ICUs of the Mayo Clinic Hospitals in Minnesota, Wisconsin, Florida, and Arizona. Patients Adult patients who developed paroxysmal AF RVR with hemodynamic instability (heart rate ≥ 130 beats per minute and a documented SBP ≤ 90 mmHg or the need for vasopressors) during ICU stay. Interventions Emergency DCCV. Measurements and Main Results Primary outcomes were in-hospital mortality, hospital-, ICU-, and organ support-free days. Secondary outcomes were return to sinus rhythm rate before and after discharge. Among 691 patients eligible for inclusion, 47 (6.8%) received emergent DCCV in the ICU. The frequency of DCCV was higher for patients located in surgical ICUs (14.5% vs 6.1%, P = .04). Patients were 1:2 propensity-score matched. The comparative analyses were conducted on 141 patients. Those who underwent DCCV were more likely to restore sinus rhythm (odds ratio [95% confidence interval], 5.2 [1.30 20.8]). However, DCCV was not associated with increased odds of having sinus rhythm at discharge, lower mortality, or higher number of ICU-, or hospital-free days. The number of organ support-free days was significantly lower in the DCCV group (estimate ± standard error, −5.0 ± 2.0, P = .012). Conclusions Emergency DCCV is rarely used to treat unstable AF in non-cardiac ICUs. Despite increased likelihood of immediate sinus rhythm restoration, DCCV was not associated with improvement in patient-centered outcomes. Prospective studies are warranted to evaluate harms and benefits of DCCV in non-cardiac critically ill patients with unstable AF where the driver of hemodynamic instability is often an underlying condition rather than arrhythmia per se.

Introduction/Background: Patients admitted with sepsis are at risk of developing septic cardiomyopathy (SCM), which may elevate their risk of short-term mortality. However, the effect of SCM on long-term outcomes after sepsis is poorly understood. This study explores whether patients with sepsis and SCM have worse long-term outcomes compared to those without SCM. Research Questions/Hypothesis: What are the long-term major adverse cardiovascular events, including death, stroke, and myocardial infarction (MACE) 36 months after ICU discharge for septic patients with abnormal global left ventricular strain (LV GLS)? Methods: We conducted a retrospective study of 396 sepsis patients from August 2018 to September 2022, approved by the Mayo Clinic IRB. Patient demographics, comorbidities, echo parameters, and outcomes were collected. Due to the expected non-linear relation between LV GLS and Hazard Ratio (HR) of MACE we employed Cox regression analysis with Restricted Cubic Splines. Secondly, we divided the population into 2 groups, patients with and without normal LV GLS (between -23 and -16). The effect of non-normal LV GLS on MACE was evaluated using Cox regression weight by inverse probability weighting (IPWT) analysis after propensity score assessment, adjusting for diabetes, hypertension, BMI, history of stroke or myocardial infarction, chronic kidney disease, age, and sex. Results: Demographic variables did not differ significantly based on normal versus abnormal LV GLS. In the restricted cox regression with cubic spline models, we observed that patients with normal values had HR lower than one compared with patients without normal values (Figure 1). Secondly, we found that the HR of MACE in patients with normal LV GLS was significantly lower in the crude analysis (HR 0.66 [CI 95% 0.5, 0.86]; p<0.01) and in the analysis adjusted by IPWT (HR 0.7 [CI 95% 0.53, 0.92]; p=0.01). Conclusion: Sepsis patients with abnormal global left ventricular strain (LV GLS) have a higher risk of major adverse cardiovascular events (MACE) within 36 months post-ICU discharge compared to those with normal strain. LV GLS values outside the range of -23 to -16 are associated with increased risk. Monitoring LV GLS in sepsis patients is important for identifying those at elevated risk for long-term cardiovascular complications.

Abstract Objectives This study aimed to evaluate critical care provider perspectives about diagnostic practices for rare and atypical infections and the potential for using artificial intelligence (AI) as a decision support system (DSS). Methods We conducted an anonymous web-based survey among critical care providers at Mayo Clinic Rochester between November 25, 2023, and January 15, 2024, to evaluate their experience with rare and atypical infection diagnostic processes and AI-based DSSs. We also assessed the perceived usefulness of AI-based DSSs, their potential impact on improving diagnostic practices for rare and atypical infections, and the perceived risks and benefits of their use. Results A total of 47/143 providers completed the survey. Thirty-eight out of 47 agreed that there was a delay in diagnosing rare and atypical infections. Among those who agreed, limited assessment of specific patient factors and failure to consider them were the most frequently cited important contributing factors (33/38). Thirty-eight out of 47 reported familiarity with the AI-based DSS applications available to critical care providers. Less than half (18/38) thought AI-based DSSs often provided valuable insights into patient care, but almost three-quarters (34/47) thought AI-based DDSs often provided valuable insight when specifically asked about their ability to improve the diagnosis of rare and atypical infections. All respondents rated reliability as important in enhancing the perceived utility of AI-based DSSs (47/47) and almost all rated interpretability and integration into the workflow as important (45/47). The primary concern about implementing an AI-based DSS in this context was alert fatigue (44/47). Conclusion Most critical care providers perceive that there are delays in diagnosing rare infections, indicating inadequate assessment and consideration of the diagnosis as the major contributors. Reliability, interpretability, workflow integration, and alert fatigue emerged as key factors impacting the usability of AI-based DSS. These findings will inform the development and implementation of an AI-based diagnostic algorithm to aid in identifying rare and atypical infections.

We aimed to assess the prognostic role of the neutrophil/lymphocyte ratio (NLR) in community-acquired pneumonia (CAP) via a single-center retrospective cohort of hospitalized adult patients from 1/2009 to 12/2019. Patients were dichotomized into lower NLR (≤12) and higher NLR (>12). The primary outcome was mortality. ICU admission and hospital- and ICU-free days were secondary outcomes. The pneumonia severity index (PSI) and the NLR’s ability to predict outcomes was also tested. An NLR ≤12 was observed in 2513 (62.2%) patients and >12 in 1526 (37.8%). After adjusting for PSI, the NLR was not associated with hospital mortality (odds ratio [OR] 1.115; 95% confidence interval [CI] 0.774, 1.606; p = 0.559), but it was associated with a higher risk of ICU admission (OR 1.405; 95% CI 1.216, 1.624; p < 0.001). The PSI demonstrated acceptable discrimination for mortality (area under the receiver operating characteristic curve [AUC] 0.78; 95% CI 0.75, 0.82) which was not improved by adding the NLR (AUC 0.78; 95% CI 0.75, 0.82, p = 0.4476). The PSI’s performance in predicting ICU admission was also acceptable (AUC 0.75; 95% CI 0.74, 0.77) and improved by including the NLR (AUC 0.76, 95% CI 0.74, 0.77, p = 0.008), although with limited clinical significance. The NLR was not superior to the PSI for predicting mortality in hospitalized CAP patients.

Introduction: Sepsis and its associated systemic inflammatory response syndrome in the heart can lead to septic cardiomyopathy. We aim to explore new onset cardiac dysfunction in septic shock patients and its association of right heart dysfunction with hospital outcomes. Hypothesis: Early development of correct ventricular abnormalities due to septic shock may lead to worse hospital outcomes. Methods: We conducted a retrospective study of 102 patients who were hospitalized at the Mayo Clinic between August 2018 and September 2022 with septic shock and had at least one pre-sepsis echo (within one year before admission) and one post-sepsis echo (within seven days of access). Information on patient demographics, comorbidities, echo parameters, and outcomes was collected from our sepsis database and retrospective chart review. Categorical variables were described as percentages and compared by Chi-square test, and continuous variables as medians and compared using an independent sample t-test. Statistical analysis was performed using BlueSky Statistics v10.3.1. Results: Our study included 102 patients with a median age of 68 (55, 78) years, the majority being men (68%) and Caucasians (80%). Between pre- and post-sepsis echos, there was a noticeable decrease in LVEF (60% vs 50.5 %; p=0.002). Moreover, there was an increase in reduced RV function (31.6% vs. 62.6%, p<0.001), reduced LV function (56.5% vs. 85.2%, p=0.048), and RV dilatation (35.8% vs. 51.5%, p=0.03). There was also a noticeable decrease in IVC collapsibility of more than 50% (65.9% vs 22.9%, p<0.001). There was no significance in terms of demographics, comorbidities, and baseline vitals and labs among patients with RV dysfunction and without RV dysfunction except for a lower LVEF (49% vs 62 %, p= 0.004) and decreased >50 % IVC collapsibility (14.5% vs 48%, p=0.005) in RV dysfunction group. We found no differences in hospital mortality, ICU and hospital LOS, or mechanical ventilation requirements amongst patients with RV abnormalities in function and size. Conclusions: Our retrospective study shows that abnormalities in RV function and RV size are commonly observed in the initial week of septic shock. However, such RV abnormalities did not translate into worse hospital outcomes.