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Sep 22

Open post by eras_cardiac with ID 18354822334216510

$Findings from a new single-center study examined whether a machine learning algorithm could guide goal-directed fluid therapy in patients recovering from cardiac surgery.Among 479 isolated coronary artery bypass patients with an ejection fraction of 45% or greater, 233 were managed under the goal-directed fluid therapy program and compared with 246 matched historical controls.Acute kidney injury incidence by KDIGO criteria was lower in the goal-directed therapy group at postoperative day 2, at postoperative day 7, and at discharge.The authors describe the program as safe, with less invasive monitoring for selected ICU patients.These findings contribute to ongoing discussions around how advanced analytics may support, rather than replace, clinical judgment in postoperative care.Congratulations to Advanced Practice Provider Council Member Amanda Rea, DNP, CRNP, and Executive Board Member Rawn Salenger, MD, on this important contribution.Read the full study: link in bio#ERASCardiac #CardiacSurgery #CardiacICU #MachineLearning #AKI$

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Sep 21

Open post by eras_cardiac with ID 18478971901098153

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Sep 15

Open post by eras_cardiac with ID 18086576471293273