Key result
This review highlights that static measurements like blood pressure and heart rate are inadequate for hemodynamic optimization, advocating for the adoption of newer monitoring technologies.
This review highlights the limitations of static hemodynamic measurements and advocates for the adoption of newer technologies and laboratory markers for hemodynamic optimization in surgical patients.
May prompt reevaluation of perioperative monitoring; leaves open outcome benefits of newer technologies in prospective trials.
Hemodynamic optimization of surgical patients during and after surgery in the Surgical Intensive Care Unit is meant to improve outcomes. These outcomes have been measured by Length Of Stay (LOS), rate of infection, days on ventilator, etc. Unfortunately, the adaptation of modern technology to accomplish this has been slow in coming. Ever since Shoemaker described in 1988 using a pulmonary artery catheter (PAC) to guide fluid and inotropic administration to deliver supranormal tissue oxygenation, many authors have written about different techniques to achieve this "hemodynamic optimization". Since the PAC and CVC have both gone out of favor for utilization to monitor and improve hemodynamics, many clinicians have resorted using the easy to use static measurements of blood pressure (BP), heart rate (HR), and urine output. In this paper, the authors will review why these static measurements are no longer adequate and review some of the newer technology that have been studied and proven useful. This review of newer technologies combined with laboratory measurements that have also proven to help guide the clinician, may provide the impetus to adopt new strategies in the operating rooms (OR) and SICU.
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Tseng et al. (2014) conducted a review in Surgical patients requiring hemodynamic optimization. Newer hemodynamic monitoring technologies vs. Static measurements (BP, HR, urine output) was evaluated. This review highlights that static measurements like blood pressure and heart rate are inadequate for hemodynamic optimization, advocating for the adoption of newer monitoring technologies.
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