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Background: Due to staffing changes at scheduled intervals and decreases in essential staff in the evenings, late intensive care unit (ICU) arrivals may be at risk for suboptimal outcomes. Utilizing a regional collaborative, we sought to determine the effect of ICU arrival timing on outcomes in elective isolated coronary artery bypass.
Methods: Adults undergoing elective, isolated coronary artery bypass from 17 hospitals between 2013 and 2023 were identified. Patients with missing predicted risk of mortality or missing ICU arrival time were excluded. Late ICU arrival time was defined as between 6:00 pm and 6:00 am. Hierarchical logistic regression with appropriate predicted risk scores was utilized for outcome risk adjustment.
Results: We identified 11,638 patients, with 972 (8.4%) experiencing late ICU arrival. Late ICU arrival patients had higher predicted risk of morbidity or mortality (8.2%; [interquartile range {IQR}, 5.6%, 12.0%] vs 7.7% [IQR, 5.5%, 11.5%], P = .048) compared with early ICU arrival patients with longer median cardiopulmonary bypass times (96 minutes [IQR, 78, 119] vs 93 [IQR, 73, 116], P < .001). Late ICU arrival patients experienced more unadjusted complications including prolonged ventilation (7.7% vs 4.2%, P < .001) and operative mortality (2.0% vs 1.1%, P = .02), although no difference in failure-to-rescue (11.0% vs 10.4%, P = .84). Logistic regression with risk adjustment demonstrated late ICU arrival as a predictor of prolonged ventilation (odds ratio, 1.49 [95% CI, 1.12-1.99], P = .006).
Conclusions: After adjustment, late ICU arrivals experienced higher rates of prolonged ventilation, although this did not translate to failure-to-rescue.
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http://dx.doi.org/10.1016/j.athoracsur.2024.08.004 | DOI Listing |
PLoS One
September 2025
Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Background: Sepsis is a life-threatening response to an infection, often complicated by sepsis-associated acute kidney injury (SA-AKI). Early recognition of SA-AKI is critical but challenged by the limited sensitivity of existing diagnostic markers. MicroRNAs (miRNAs), which regulate key SA-AKI pathways, have shown diagnostic promise, yet their clinical utility in early SA-AKI recognition remains unexplored.
View Article and Find Full Text PDFAnn Med Surg (Lond)
September 2025
Department of internal medicine, Kist medical college, Nepal.
Introduction And Importance: Age-inconsistent brain atrophy refers to brain shrinkage that is not proportional to chronological age. This case report is first to report a young patient who developed age-inconsistent brain atrophy due to post cardiac arrest brain injury (PCABI). Due to limitations in the available data, we report our experience and novel magnetic resonance (MR) imaging changes in the brain over the course of 2 months.
View Article and Find Full Text PDFJ Cardiothorac Vasc Anesth
August 2025
Anesthesiology Department, Hôpitaux Universitaires de Bruxelles-Site Erasme, Bruxelles, Belgium.
Objective: To evaluate in cardiac surgery patients the potential for alveolar recruitment at 3 perioperative time points-after intubation, after cardiopulmonary bypass (CPB), and on arrival in the intensive care unit (ICU)-by collecting pulmonary compliance values and calculating the recruitment-to-inflation (R/I) ratio.
Design: An interventional cohort single-center study conducted in a department of anaesthesiology and critical care and an ICU SETTING: This interventional study was conducted in 41 patients undergoing noncomplex cardiac surgery. Ventilatory mechanics, blood gas analysis, and hemodynamic parameters were measured before, during, and after a lung recruitment maneuver (LRM) (3 minutes at a positive end-expiratory pressure [PEEP] of 12 cmHO).
Intern Emerg Med
August 2025
Department of Anesthesiology, Erasmus Medical Centre, Rotterdam, The Netherlands.
The International Early Warning Score (IEWS) showed strong prediction of mortality in all ages, but its performance compared to clinical gestalt remains uncertain. Furthermore, it is unknown whether frailty improves prediction besides age. This study aimed to compare IEWS with gestalt, and assess whether updating with frailty improved prediction.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Emergency department (ED) overcrowding contributes to delayed patient care and worse clinical outcomes. Traditional triage systems face accuracy and consistency limitations. This study developed and internally validated a machine learning model predicting intensive care unit (ICU) admissions and resource utilization in ED patients.
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