Publications by authors named "J D Muehlschlegel"
Background: Increased intraoperative electroencephalographic (EEG) burst suppression is associated with postoperative delirium. Cerebral desaturation is considered as one of the factors associated with burst suppression. Our study investigates the association between cerebral desaturation and burst suppression by analyzing their concurrence.
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- The study aims to identify predictors of atrial fibrillation after cardiac surgery (AFACS) to develop better prediction models as part of the PARADISE project.
- It used a two-stage Delphi consensus process involving 15 international experts from various cardiac and nursing fields to generate and refine a list of candidate predictors.
- The final list includes 72 predictors categorized into demographics, comorbidities, vital signs, intraoperative factors, postoperative investigations, and interventions, highlighting both patient-related and surgical factors.
Importance: There are limited data on the association of sex with the incidence of postoperative atrial fibrillation (poAF) and subsequent long-term mortality after cardiac surgery.
Objective: To evaluate whether the incidence of poAF and associated long-term mortality after cardiac surgery differ by sex.
Design, Setting, And Participants: This retrospective cohort study was conducted at 2 tertiary care centers in Massachusetts from January 1, 2002, until October 1, 2016, with follow-up until December 1, 2022.
Article Synopsis
- Blood-based small molecule metabolites can provide valuable insights into health and disease risk, especially in understanding heart failure (HF) through metabolite profiling in individuals who initially do not have HF.
- The study used network analysis to reveal how metabolites interact and their roles in influencing HF risk, while controlling for confounding factors among metabolites.
- Key findings indicate that certain metabolites, like glycine and asparagine, are linked to both dietary intake and genetic factors, highlighting their importance in predicting HF incidence and understanding complex health conditions.