Chaudhary, Sanjay

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.

Objective: We tested the feasibility and effectiveness of a percutaneous atrial transseptal extracorporeal membrane oxygenation (ECMO) cannulation strategy in a right ventricular failure (RVF) model. Methods: We performed 4 nonsurvival porcine experiments. Percutaneous transseptal access was achieved using a steerable introducer. For guidance, we used fluoroscopy, transesophageal echocardiogram (TEE), and intracardiac echocardiography (ICE). A ProtekDuo rapid deployment cannula (LivaNova, London, UK) was advanced across the septum into the left atrium by 2 to 3 cm. Pulmonary hypertension (PH) was induced by partially clamping the pulmonary artery. ECMO flow was cycled from high (2 to 3 L/min) to low (0.2 to 0.3 L/min) over 2 to 3 hours. Results: Transseptal access using TEE and fluoroscopy was successful in 1 animal and unsuccessful in 1 animal. ICE provided optimal visualization for the remaining 2 animals. Mean arterial pressure (MAP) was associated immediately and consistently with high versus low ECMO flow rate (mean difference: 29 ± 3.1 mm Hg, P = 0.004) but was not restored to baseline values. RV pressure values were dynamic. Given time to equilibrate, mean RV pressure was restored to a baseline level. Conclusions: Percutaneous right atrium to left atrium transseptal cannulation relieved PH-RVF. MAP was restored to a viable level, and mean RV pressure was restored to a baseline level. Transseptal ECMO shows promise as a cannulation strategy to bridge patients with PH-RVF to lung transplant.

Abstract Background With increasing extracorporeal membrane oxygenation (ECMO) utilization over the last decade, clinicians have developed “hybrid” configurations to meet complex perfusion requirements. In the setting of differential hypoxemia, a veno‐arteriovenous (V‐AV) configuration provides oxygenated cardiac preload and hemodynamic support to satisfy physiologic demands. We aim to further characterize the patient population, indications, and outcomes associated with this hybrid configuration. Methods We retrospectively reviewed all adult patients placed on V‐AV ECMO at our institution from June 2016 to December 2019. Through a review of the electronic medical records, data describing demographic features, comorbidities, and ECMO‐specific information were analyzed systematically. Results 14 patients were placed on V‐AV ECMO during the study period. Our cohort was 79% male with a median age of 54 and BMI of 30.3. These patients had a median SOFA‐0 score of 15 and SAVE score of ‐12. Patients were treated with ECMO support for a median of 144.1 (IQR 98.5 – 183.1) hours, consisting of 0.2 (IQR 0 – 17.7) hours of VA and 92.4 (IQR 53.7 – 115.1) hours of V‐AV followed by 67.4 (IQR 20.3 – 96.6) hours of VV support. Of these 14 patients, 11 survived to decannulation (79%) and 9 survived to hospital discharge (64%). Conclusion ECMO patients with recovering left ventricular function and persistent gas exchange abnormalities are at risk for developing differential hypoxemia. We describe an approach to utilizing V‐AV configuration when the likelihood of differential hypoxemia is extremely high, with a survival rate that compares favorably to Extracorporeal Life Support Organization statistics and published case series.

AbstractAimsThe number of elderly persons with end‐stage renal disease is increasing with many requiring hospitalizations. This study examines the causes and predictors of hospitalization in older haemodialysis patients.MethodsWe reviewed hospitalizations of older (≥65 years) incident chronic haemodialysis patients initiating therapy between 1 January 2007 and 31 December 2009 under the care of a single Midwestern United States dialysis provider.ResultsOf 125 patients, the mean age was 76 ± 7 years and 72% were male. At first dialysis, 68% used a central venous catheter (CVC) and 51% were in the hospital. Mean follow‐up was 1.8 ± 1.0 years. At least one hospitalization occurred in 89 (71%) patients and half of all patients were hospitalized once within the first 223 days. Total hospital admission rate was 1.48 per patient year with hospital days totalling 8.54 days per patient year. The three most common reasons for first admission were cardiac (33%), infection (18%) and gastrointestinal (12%). Predictors of future hospitalization included the first dialysis occurring in hospital (hazard ratios (HR) 2.1, 95% CI 1.4–3.3, P = 0.0005) and the use of a CVC at first haemodialysis (HR 2.6, CI 1.6–4.4, P < 0.0001).ConclusionHospitalizations are common in older incident haemodialysis patients. Access preparation and overall burden of illness leading to the initial hospitalization appear to play a role. Identification of additional factors associated with hospitalization will allow for focused interventions to reduce hospitalization rates and increase the value of care.