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The growing population of institution patients with heart failure combined with the increasing number of surgical procedures performed each year supports the need for a critical analysis of how to most appropriately manage these patients during the perioperative period, especially for non-cardiac surgery. Echo-guided hemodynamic management (EGHEM) is the use of echocardiography data to normalize and/or optimize in real-time, cardiac output and ventricular filling pressures in the perioperative period for non-cardiac surgical cases. The purpose of this study is to test the hypothesis that EGHEM compared to standard management practices will result in a reduced length of hospital stay in the noncardiac surgery population. The primary goal of health care providers for patients requiring anesthetic care, perioperative care, or critical care is ensuring the adequacy of the patient's circulatory function by optimizing cardiac output and ventricular filling pressure. Currently, the use of the ECG monitor and systemic blood pressure are the standard of care for assessing circulatory function. However, those data cannot provide accurate information on cardiac output and ventricular filling pressure for patients with cardiovascular risk factors and/or comorbidities. As a result, managing the hemodynamic parameters of these patients, as well as their intravenous fluid needs and resuscitation strategy, we hypothesize that using traditional approaches may lead to significant volume overload and post-operative cardiovascular complications and morbidity. In this study we propose an EGHEM strategy that incorporates standard echocardiography generated data points in addition to the systemic blood pressure and ECG signal to assess, manage, modify and optimize patient cardiac preload, afterload, heart rate and contractility in the perioperative period. Based on our initial observations and preliminary data using the EGHEM approach, we hypothesize that we can demonstrate a significant decrease in hospital length of stay and an overall decrease in perioperative morbidity at 30 days in the non-cardiac surgery population using EGHEM compared to standard practices. In this proposal we have designed a single center, prospective, randomized clinical trial to test our hypothesis.
Full description
Step 1: Patient selection
The first step in the EGHEM/EGAM process is appropriate patient selection. Patients who have any of the following cardiovascular risk factors and/or comorbidities and are scheduled for a non-cardiac surgery are candidates for EGHEM/EGAM:
Urology/gynecology/General surgical patient
Non-cardiac surgical population
age 65 years or older, OR 19 years or older and one of the following risk factors:
Hypertension (HTN)
Diabetes
Obesity (body mass index [BMI] >35)
Renal insufficiency
Tobacco usage
Hypercholesterolemia
Sleep apnea/heavy snoring at night
Clinical diagnosis of congestive heart failure (CHF) as defined by:
Palpitations/irregular heart beats
Chest pain at rest and or exercise
Murmur on examination
Known coronary artery disease (CAD)/stents/coronary artery bypass graft (CABG)
Known valvular disease
Known stroke or transient ischemic attacks (TIA) Standard Medical Care Step 2: Pre-op assessment
Step 2 in the EGAM process involves a bedside, transthoracic echocardiography (TTE) pre-op assessment. The pre-op TTE should be performed by one of the co-investigators, and take less than 10 minutes to complete. The information acquired by TTE during the pre-op assessment should include the following five evaluations, in order of importance:
Cardiac output on the left side of the heart using spectral Doppler measurements;
Filling pressures on the left side of the heart using spectral Doppler measurements;
Mitral valve structure and function;
Aortic valve structure and function; and
Biventricular contractility.
These evaluations are performed using the following TTE views:
A. Parasternal (PS) window: With the patient in the left lateral decubitus position, the TTE probe is placed on the 3rd left intercostal space next to the sternum; the light on the probe should be directed toward the patient's right shoulder. The 2-dimensional image of the long axis (LAX) should be acquired first. In this view, the following are evaluated:
B. Apical window: With the patient in the same left, lateral, decubitus position, the probe is placed between the 5th and 6th intercostal space on the left side, close to the nipple line. The light on the probe should be directed toward the floor or the bed for the 4-chamber view. The following assessments should be performed in the 4-chamber view:
For the apical LAX, the probe should be rotated counterclockwise so that the light is directed toward the patient's right shoulder. In the LAX view, velocity time integrals (VTIs) using PW in the left ventricular outflow track (LVOT) and continuous wave (CW) at the level of the AV should be acquired.
C. Subcostal window: With the patient supine, the TTE probe is placed under the right costal ridge and directed toward the heart. The light should be directed toward the sonographer (toward the patient's left) to assess the 4-chamber view.
For the subcostal inferior vena cava (IVC) view, the probe should be slightly rotated counterclockwise until the IVC can be assessed.
Standard Medical Care Step 3: Management strategies Step 3 in the EGHEM/EGAM process is to define patient management strategies based on the pre-op TTE assessment. The main goals of patient management are to maintain normal cardiac output and filling pressure. Primary and secondary findings and the associated EGAM strategies to achieve these goals are outlined in Table 1 and Table 2, respectively.
Table 1: Primary findings and associated management strategy to maintain normal cardiac output and filling pressure.
Echo-Generated Findings EGHEM/EGAM Strategy Cardiac output status Filling pressure status Normal High Preload reduction Low Normal Afterload reduction Low High Afterload and preload reduction High High Preload reduction High Normal or low Increase preload
Table 2: Secondary findings and associated management strategy to optimize patient management.
Echo-Generated Finding EGHEM/EGAM Strategy Filling Pressure Other High Aortic stenosis Preload reduction Normal Aortic stenosis Safe for afterload reduction
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Inclusion criteria
Age ≥ 65 years
Hypertension (HTN)
Diabetes
Obesity (body mass index [BMI] >35)
Renal insufficiency
Tobacco usage
Hypercholesterolemia
Sleep apnea/heavy snoring at night
Clinical diagnosis of CHF as defined by:
Palpitations/irregular heart beats
Chest pain at rest and or exercise
Murmur on examination
Known coronary artery disease (CAD)/stents/coronary artery bypass graft (CABG)
Known valvular disease
Known stroke or transient ischemic attacks (TIA)
Exclusion criteria
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Interventional model
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35 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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