Sanghavi, Devang

Heart transplantation is a well-established treatment for end-stage heart failure, but many patients present in poor physical condition, complicating outcomes. The Impella 5.5 device, used in cardiogenic shock, may support pretransplant rehabilitation by stabilizing organ function and promoting functional improvement. This retrospective cohort study assessed the relationship between functional status, measured by standardized Activity Measure for Post-Acute Care Basic Mobility (AM-PAC) scores, and days alive outside the hospital within 30 days post-transplant (DAOH-30). Patients who received Impella 5.5 support before transplantation between January 2019 and October 2023 were included, excluding those without AM-PAC scores within 24 hours pretransplant. Among 65 patients, the median DAOH-30 was 15 days (interquartile range [IQR], 8–19). Higher pretransplant standardized AM-PAC scores correlate with increased DAOH-30 (adjusted coefficient 0.3; 95% confidence interval [CI] = 0.01–0.6; p = 0.04), as did AM-PAC score improvement during rehabilitation (adjusted coefficient 0.35; 95% CI = 0.01–0.6; p = 0.04). Extended rehabilitation was associated with greater functional gains. These findings suggest that better pretransplant functional status and rehabilitation-related improvements were associated with increased DAOH-30. The Impella 5.5 device facilitates rehabilitation and may enhance post-transplant outcomes. Further research should refine strategies to optimize rehabilitation and recovery in this high-risk population.

Background: Procalcitonin (PCT) is recognized as an inflammatory biomarker, often elevated in COVID-19 pneumonia alongside other biomarkers. Understanding its association with severe outcomes and comparing its predictive ability with other biomarkers is crucial for clinical management. Objectives: This retrospective multicenter observational study aimed to investigate the association between PCT levels and adverse outcomes in hospitalized COVID-19 patients. Additionally, it sought to compare the predictive performance of various biomarkers. Design: The study analyzed data from the Society of Critical Care Medicine (SCCM) Viral Infection and Respiratory Illness Universal Study (VIRUS) registry, comprising COVID-19 patients hospitalized across multiple Mayo Clinic sites between March 2020 and June 2022. Methods: A total of 7851 adult COVID-19 patients were included. Patients were categorized into 6 groups based on the worst WHO ordinal scale. Multivariate models were constructed using peak biomarker levels within 72 hours of admission, adjusted for confounders. Results: Elevated PCT levels were independently associated with increased odds of adverse outcomes, including ICU admission (adjusted odds ratio [aOR] 1.32, 95%CI 1.27-1.38), IMV requirement (aOR 1.35, 95%CI: 1.28-1.42), and in-hospital mortality (aOR 1.30, 95%CI: 1.22-1.37). A 3.48-fold increase in IMV requirement and 3.55 times increase in in-hospital mortality were noted with peak PCT ⩾ 0.25 ng/ml. Similar associations were observed with other biomarkers like NLR (AUC 0.730), CRP, IL-6, LDH (AUC 0.800), and D-dimer (AUC 0.719). Models incorporating NLR, LDH, D-dimer, and PCT demonstrated the highest predictive accuracy, with a combined model exhibiting an area under the curve (AUC) of 0.826 (95%CI 0.803-0.849). Conclusions: Higher PCT levels were significantly linked to worse outcomes in COVID-19 patients, emphasizing its potential as a prognostic marker. Biomarker-based predictive models, particularly those including PCT, showed promising utility for risk assessment and clinical decision-making. Further prospective studies are warranted to validate these findings on a larger scale.

Abstract Rationale: Mechanical ventilation is frequently required in heart transplant patients to support recovery, but prolonged ventilation may increase the risk of complications and mortality. This study is done to find the impact of pre-transplant ventilation duration on early post-transplant outcomes, including mortality, ICU stay, infection, and respiratory complications. Methods: This retrospective analysis includes 52 heart transplant recipients from Mayo Clinic (2019-2023) who required pre-transplant mechanical ventilation. We analyzed ventilation duration's relationship with ICU and hospital stay, infection rates, respiratory complications, mortality, and baseline demographics. Chi-squared and Mann-Whitney U tests were used to evaluate associations between co-morbidities, ventilation duration, and outcomes. Results: The mean age at transplant was 48.9±14 years. Average ventilation duration was 12.8±14.2 days (Median: 7 days), ICU stay was 24.8± 20.9 days (Median: 15.0 days), and hospital stay was 58±40.8 days (Median: 48 days). Of the patients, 5 (9.6%) did not survive. There was no statistically significant association between mortality and ventilation duration, with a mean duration of 12.7±14.6 days (Median: 7 days) for survivors and 13.6±11.5 days (Median: 21 days) for non-survivors (p>0.05). Patients with infections 23 (44.2%) or respiratory complications 17 (32.7%) had longer ventilation durations (mean 16.3±17.8 days, Median: 9 and 10 days, respectively) compared to those without complications (mean 10±10.2 days, Median: 6 and 5 days, p>0.05). Infection was associated with extended ICU stays (mean 27.5±22.3 days, Median: 18 days with infection vs. 22.7±19.9 days, Median: 15 days without infection). None of the individual co-morbidities (diabetes, hypertension, stroke, chronic kidney disease) significantly impacted mortality or ventilation duration (p > 0.05). Conclusions: Prolonged ventilation is associated with increased rates of infections and respiratory complications but not with mortality in this cohort. Although co-morbidities did not significantly impact ventilation duration or mortality, infection remains a critical factor related to extended ICU stay. Future research should explore preventative strategies for infections in ventilated heart transplant recipients to improve outcomes.

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.