Franco, Pablo Moreno

ABSTRACT Introduction Extracorporeal membrane oxygenation (ECMO) is a life‐saving intervention for refractory cardiopulmonary failure. Despite advancements reducing complications, ECMO remains associated with acute kidney injury (AKI), often requiring kidney replacement therapy (KRT). Studies report up to 45% of ECMO patients needing KRT, significantly increasing mortality. A prior meta‐analysis suggested a declining mortality trend in recent years. Methodology Following PRISMA guidelines, PubMed, MEDLINE, EMBASE, and Cochrane Library were searched (2000–2024) for randomized and observational studies on adult ECMO patients requiring KRT. Data extraction covered study characteristics, patient demographics, ECMO type, KRT timing, and clinical outcomes. Quality was assessed using the Newcastle–Ottawa Scale. Statistical analyses were performed using RevMan 5.4.1 under a random‐effects model, with mortality as the primary outcome. Result A total of 24 studies (6347 patients) met the inclusion criteria, including 23 observational studies and one RCT. The mean age of ECMO + KRT patients was 51 years in observational studies and 61.2 years in the RCT, with cardiogenic shock as the most common ECMO indication. Meta‐analysis showed a significantly higher mortality in ECMO + KRT patients (RR: 1.86, 95% CI: 1.63–2.12, p < 0.001), with infections and bleeding as key contributors. Subgroup analysis revealed no significant survival difference based on KRT timing, while Veno‐arterial extracorporeal membrane oxygenation (VA‐ECMO) was associated with worse outcomes than Veno‐venous extracorporeal membrane oxygenation (VV‐ECMO). The RCT reported 61.9% mortality at 30 days in ECMO + KRT patients. Conclusion KRT during ECMO is associated with increased mortality, likely due to the severity of illness and complications like infections and bleeding. The optimal timing of KRT initiation remains unclear, and no significant survival benefit was found for early KRT. Further large‐scale RCTs are needed to optimize management strategies.

Purpose Despite the need for advanced hemodynamic monitoring, the role of the pulmonary artery catheter (PAC) in cardiogenic shock (CS) remains controversial due to conflicting evidence from previous studies. Material and Methods This single-center retrospective study utilized the MIMIC-IV database to assess the impact of PAC use on 30-day in-hospital mortality and clinical outcomes in CS patients admitted between 2008 and 2019. Propensity score matching (PS) and inverse propensity treatment weighting (IPTW) were employed to adjust for baseline differences. The primary outcome was 30-day in-hospital mortality; secondary outcomes included hospital and ICU length of stay and complications. Cox proportional hazard ratio analyses were performed to evaluate the association between PAC use and mortality outcomes. Results The final cohort consisted of 1940 adult CS patients, with 134 receiving PAC and 1806 not. PAC use significantly reduced 30-day in-hospital mortality (PS-matched HR 0.57, 95% CI: 0.39-0.83; IPTW HR 0.58, 95% CI: 0.35-0.96) but was associated with longer hospital stays (16.47 vs 12.37 days) and ICU stays (9.26 vs 7.52 days). Conclusion PAC use in CS patients was associated with improved short-term survival but also with longer hospitalization and potential complications, underscoring the need for careful patient selection and further research.

Extracorporeal membrane oxygenation (ECMO) use during liver transplantation is a complex and evolving aspect of critical care. This retrospective analysis presents the largest North American case series to date, offering a detailed comparison of survival outcomes in liver transplant (LT) patients supported by ECMO. A total of 15 patients were supported with ECMO, eight were supported on venoarterial (VA) ECMO and the remaining seven on venovenous (VV) ECMO. The median duration of ECMO support was 10 days. Mean intensive care unit (ICU) and hospital stays were 34.8 (interquartile range [IQR]: 1–158) and 49.2 days (IQR: 1–121), respectively. Overall survival was 33.3%, comparable to published rates (20–30%). Survival was based on ECMO initiation timing: preoperative 33.3% (1/3); intraoperative 50% (3/6); postoperative, 16.6% (1/6). All the patients (five) discharged from hospital were alive at 1 year follow-up. Significant ECMO-related complications included acute kidney injury (AKI) requiring continuous renal replacement therapy (CRRT) (40%, n = 6/15), neurological complications (40%, n = 6/15), and bleeding requiring transfusion (26.6%, n = 4/15). Literature review suggests better outcomes with intraoperative or postoperative ECMO. While ECMO use is increasing in LT, outcomes remain poor. Improved survival may depend on careful patient selection, optimal timing of initiation, and distinguishing reversible pathology from irreversible one.

Backround: Atrial fibrillation (AF) is a common complication following veno-venous extracorporeal membrane oxygenation (VV-ECMO), leading to further complications from anticoagulation or stroke. The Artificial Intelligence AF Prediction Dashboard developed at Mayo Clinic generates two predictive outputs: (1) a continuous probability score and (2) a binary threshold-based signal to predict the likelihood of AF at an individual level after 12-lead electrocardiogram (ECG) is obtained. Using both continuous risk (%) and binary (yes/no) likelihood, we present a novel method to understand AF risk after VV-ECMO cannulation based on pre-ECMO 12-lead ECG. Methods: We reviewed a total of 147 patients on ECMO between 2018 and 2024, from which 85 VV-ECMO patients with complete data were included. AI Dashboard outputs were quantified as binary (1/0) or percent likelihood for AF. R was utilized for statistical analysis. Results: 85 patients met our inclusion criteria from which AF after cannulation occurred in 31 (36%). 17 patients had a history of AF prior to VV-ECMO initiation. The mean age of our cohort was 49 years with a mean BMI of 29.3. Baseline AI Dashboard continuous assessment identified 39 patients (46%) compared to the binary assessment identifying 31 patients (36%). Logistic regression in the binary assessment demonstrated an odds ratio of 1.08 (95% CI 1.04 – 1.12) with a p value of <0.001. The binary AF Prediction yielded a 58% sensitivity, 76% specificity, 58% PPV, and 76% NPV, with an accuracy of 67%. The continuous AF Probability score achieved 72% balanced accuracy with sensitivity 74%, specificity 70%, PPV 59% and NPV 83%, indicating fair overall performance and suggesting good utility for ruling out AF in low-risk patients. Although both outputs provided moderate predictive accuracy, the continuous score reported before ECMO cannulation demonstrated stronger overall performance with fewer false negatives and higher rule-out value. Conclusions: We demonstrate the novel use of an AI predictive model in the VV-ECMO population for the prediction of AF risk with both continuous and binary risk cutoffs from baseline ECG. This data highlights the need for further development in ECMO-specific AI models to help mitigate risk after the onset of atrial arrhythmias. As AI-driven tools become increasingly integrated into care, their performance must be continuously validated and recalibrated for specific populations to ensure their safe and effective use.

Problem Statement: The prognostic value of troponin elevation in septic ICU patients without known history of cardiac disease remains unclear, particularly after accounting for overall illness severity. Background: Minor troponin rises are frequent during sepsis, yet clinicians still lack a clear cut-point that signals danger once cardiac disease is ruled out. We asked whether a modest increase in troponin-T predicts in-hospital death beyond global illness severity. Methods: We studied 1 221 adult first ICU stays labelled “sepsis” in the eICU Collaborative Research Database and removed any case with a cardiac admission diagnosis. Implausible or missing laboratory values were imputed by multiple imputation. Hospital mortality was modelled with logistic regression that included troponin (a continuous and a binary model with threshold > 0.04 ng/mL) together with age, sex, lactate, albumin, BUN, creatinine, intubation status, vasopressor use, dialysis requirement and APACHE-IV predicted mortality. A natural-spline model explored non-linear behavior. Findings were checked in a 1:1 propensity-matched cohort. Results: Overall mortality was 11.7%. Troponin exceeded 0.04 ng/mL in 38% of patients. After adjustment for APACHE-IV probability and other covariates, a troponin level > 0.04 ng/mL was associated with almost twice the odds of death (OR ≈ 1.9), whereas the continuous model suggested only a modest trend (OR ≈ 1.1 per ng/mL). The spline curve rose steeply between 0 and 0.10 ng/mL and flattened thereafter, pinpointing an inflection near 0.05 ng/mL. Matching on all measured confounders confirmed that high-troponin patients had about three-fold greater mortality (OR ≈ 2.8, 1.55-5.05; p<0.001), highlighting that even modest troponin elevation is an independent risk marker for death in septic ICU patients. A bedside heat-map combining troponin, albumin and need for intubation illustrated a simple gradient: risk climbs from 2 % in low-troponin, well-albuminised, non-intubated patients to nearly 7 % when troponin exceeds 0.10 ng/mL in intubated, hypo-albuminemic patients. Conclusions: Even modest troponin elevations (> 0.04 ng/mL) independently predict mortality in sepsis after rigorous adjustment and matching on APACHE-IV physiology, lactate, and organ-support variables. This biologic threshold supports incorporating troponin into bedside triage and future septic cardiomyopathy trials.

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 Pulmonary artery pulsatility index (PAPi) is defined as pulmonary artery pulse pressure divided by right atrial pressure and has been identified as a predictor of mortality in pulmonary hypertension. Portopulmonary-hypertension (POPH), a subset associated with portal hypertension, lacks a clear prognostic association with PAPi. This study aimed to assess whether perioperative PAPi values correlate with outcomes in liver transplant patients with POPH. Methods This single-center, retrospective study included POPH patients undergoing liver transplantation at Mayo Clinic Florida from June 2003 to December 2023. 69 patients were categorized based on the lower PAPi quartile in our dataset (&gt;0.9 or ≤ 0.9), measured via catheterization within one day of transplantation, comparing baseline characteristics and outcomes. Categorical variables were analyzed using chi-square or Fisher's exact tests, while continuous variables were compared with independent t-tests or Mann-Whitney U tests. Unadjusted and adjusted odds ratios (ORs) for 1-year mortality were calculated using logistic regression for baseline comorbidities and univariate significance. Results Most patients were white (91.3%) and non-Hispanic (82.6%), with a mean BMI of 29.3 kg/m² and MELD score of 20.3. Mean hemodynamic data included heart rate of 75.8 bpm, pulmonary artery pressure of 29.9 mmHg, right atrial pressure of 15.1 mmHg, and PAPi of 1.25. Mortality rates were 7.2% at 30 days, 10.1% at 90 days, and 11.6% at 1 year. Patients with PAPi &gt;0.9 (n=50) were older (mean age 58.2 vs. 52.9) than those with PAPi ≤0.9 (n=19). The PAPi &gt;0.9 group was predominantly white (94% vs. 84.2%, p=0.04), with no significant differences in BMI, MELD scores, or ethnicity. Mortality at 30 and 90 days was higher in the PAPi &gt;0.9 group (10% and 14%, respectively) compared to the PAPi ≤0.9 group (0% for both); however, differences were not statistically significant. At 1 year, mortality was 14% in the PAPi &gt;0.9 group and 5.3% in the PAPi ≤0.9 group, with no statistical significance. Multivariate analysis indicated no association between PAPi and 1-year mortality (OR 0.12-0.24, p=0.2-0.3), and PAPi as a continuous variable showed no link with 1-year mortality. Conclusions PAPi was not significantly associated with 1-year mortality in liver transplant patients with POPH, suggesting that it should not be used alone to decide listing for transplantation. Further studies with larger cohorts are needed to confirm these findings or identify alternative hemodynamic markers or PAPi values predictive of long-term outcomes in this high-risk group.