Decision Support for Intraoperative Low Blood Pressure
Status: | Active, not recruiting |
---|---|
Conditions: | Cardiology |
Therapuetic Areas: | Cardiology / Vascular Diseases |
Healthy: | No |
Age Range: | 60 - 100 |
Updated: | 12/2/2018 |
Start Date: | January 5, 2017 |
End Date: | December 31, 2018 |
The purpose of this study is to determine whether a decision support system can improve the
adherence to thresholds for low blood pressure by anesthesia providers, which in turn
prevents their patients from having organ injury.
adherence to thresholds for low blood pressure by anesthesia providers, which in turn
prevents their patients from having organ injury.
Blood pressure management is an important part of anesthesia. Many factors contribute to a
change in blood pressure during a surgical procedure, such as blood loss, manipulation by
surgeons, and there are several mechanisms through which anesthesia itself changes blood
pressure. Although a high blood pressure also occurs during anesthesia, most of these factors
lower a patient's blood pressure. When a patient's blood pressure becomes too low, the
internal organs become at risk of receiving not enough blood (low perfusion or
hypoperfusion). This low perfusion state can result in organ damage (ischemia) because of an
insufficient supply of oxygen and glucose. Hence the important task of anesthesia providers
to maintain the blood pressure of patients, using a wide range of drugs and other
interventions.
A big challenge in blood pressure management is to know when a low blood pressure indeed
results in low perfusion of organs. There is a large variation between patients in how
susceptible they are to low blood pressure, as well as a difference between the organs in how
easily they are damaged because of low perfusion. Elder patients, or patients with
preexisting hypertension, heart problems or other cardiovascular diseases are more prone to a
low blood pressure and are more likely to develop organ ischemia when there is a low blood
pressure. The kidneys, the heart and the brain are the organs that are most at risk of organ
damage. As one cannot measure the perfusion states of individual organs in individual
patients, it is very difficult to know 'how low to go' with a patient's blood pressure.
Recent studies have used large datasets of patients to demonstrate that there is statistical
association between low blood pressure during surgery and various types of organ injury. As
patients are already treated for low blood pressure by anesthesia providers, this suggests
that patients have low organ perfusion states despite the current treatment standards. A
patient's blood pressure is not simply a dial that can be adjusted to a specific level.
Finding the right level of interventions can be difficult in some patients. Consequently,
lower blood pressures are common in anesthesia, even with the current standards of blood
pressure management.
In this proposed study the investigators will implement two forms of decision support to
assist anesthesia providers in blood pressure management. The decision support aims to
educate anesthesia providers about the risks of low blood pressures in direct relation to the
patients that they treat. One form of decision support will provide automated notifications
through pagers and through the anesthesia information management system. These automated
notifications pop up when the patient's blood pressure drops below a level that is associated
with a risk of organ injury, and thus alerts the anesthesia provider of the blood pressure
and its associated risk. The second form of decision support will send a postoperative email
the day after the procedure when the patient has had a low blood pressure for particular
duration. This email then provides feedback to the anesthesia provider by informing them of
the increased risks of organ injury that are associated with that low blood pressure.
The study will look at both a change in patient outcome and a change in blood pressure
management and will be performed at the Vanderbilt University Medical Center (VUMC). The
change in patient outcome will primarily be studied through the occurrence of acute kidney
injury in the first days following the procedure at the VUMC. The change in blood pressure
management (provider behavior) will be studied by observing the depth and duration of low
pressures during anesthesia, and the number of interventions that have been used to treat the
blood pressure. Patient outcome will be studied by comparison of a baseline phase - before
the decision support is implemented and uses historic data- and the intervention phase - the
period during which the intervention is active. Only routinely collected clinical data will
be used for these analyses: no additional data collection is required.
As it is impossible to know which form of decision support will be the most effective, the
first three months of the intervention period will be a 'nested cluster-randomized trial'.
The anesthesia providers (not the patients) will be randomized to either the automated
notifications or the feedback emails. After three months all anesthesia providers will
receive both forms of decision support for the remainder of the intervention period. The
reason why anesthesia providers are randomized only during the first three months is that
cross-over or contamination between the two groups is expected. This contamination could make
it impossible to study the effect of the decision support on patient outcome, as there will
be no longer any difference between the study groups.
change in blood pressure during a surgical procedure, such as blood loss, manipulation by
surgeons, and there are several mechanisms through which anesthesia itself changes blood
pressure. Although a high blood pressure also occurs during anesthesia, most of these factors
lower a patient's blood pressure. When a patient's blood pressure becomes too low, the
internal organs become at risk of receiving not enough blood (low perfusion or
hypoperfusion). This low perfusion state can result in organ damage (ischemia) because of an
insufficient supply of oxygen and glucose. Hence the important task of anesthesia providers
to maintain the blood pressure of patients, using a wide range of drugs and other
interventions.
A big challenge in blood pressure management is to know when a low blood pressure indeed
results in low perfusion of organs. There is a large variation between patients in how
susceptible they are to low blood pressure, as well as a difference between the organs in how
easily they are damaged because of low perfusion. Elder patients, or patients with
preexisting hypertension, heart problems or other cardiovascular diseases are more prone to a
low blood pressure and are more likely to develop organ ischemia when there is a low blood
pressure. The kidneys, the heart and the brain are the organs that are most at risk of organ
damage. As one cannot measure the perfusion states of individual organs in individual
patients, it is very difficult to know 'how low to go' with a patient's blood pressure.
Recent studies have used large datasets of patients to demonstrate that there is statistical
association between low blood pressure during surgery and various types of organ injury. As
patients are already treated for low blood pressure by anesthesia providers, this suggests
that patients have low organ perfusion states despite the current treatment standards. A
patient's blood pressure is not simply a dial that can be adjusted to a specific level.
Finding the right level of interventions can be difficult in some patients. Consequently,
lower blood pressures are common in anesthesia, even with the current standards of blood
pressure management.
In this proposed study the investigators will implement two forms of decision support to
assist anesthesia providers in blood pressure management. The decision support aims to
educate anesthesia providers about the risks of low blood pressures in direct relation to the
patients that they treat. One form of decision support will provide automated notifications
through pagers and through the anesthesia information management system. These automated
notifications pop up when the patient's blood pressure drops below a level that is associated
with a risk of organ injury, and thus alerts the anesthesia provider of the blood pressure
and its associated risk. The second form of decision support will send a postoperative email
the day after the procedure when the patient has had a low blood pressure for particular
duration. This email then provides feedback to the anesthesia provider by informing them of
the increased risks of organ injury that are associated with that low blood pressure.
The study will look at both a change in patient outcome and a change in blood pressure
management and will be performed at the Vanderbilt University Medical Center (VUMC). The
change in patient outcome will primarily be studied through the occurrence of acute kidney
injury in the first days following the procedure at the VUMC. The change in blood pressure
management (provider behavior) will be studied by observing the depth and duration of low
pressures during anesthesia, and the number of interventions that have been used to treat the
blood pressure. Patient outcome will be studied by comparison of a baseline phase - before
the decision support is implemented and uses historic data- and the intervention phase - the
period during which the intervention is active. Only routinely collected clinical data will
be used for these analyses: no additional data collection is required.
As it is impossible to know which form of decision support will be the most effective, the
first three months of the intervention period will be a 'nested cluster-randomized trial'.
The anesthesia providers (not the patients) will be randomized to either the automated
notifications or the feedback emails. After three months all anesthesia providers will
receive both forms of decision support for the remainder of the intervention period. The
reason why anesthesia providers are randomized only during the first three months is that
cross-over or contamination between the two groups is expected. This contamination could make
it impossible to study the effect of the decision support on patient outcome, as there will
be no longer any difference between the study groups.
Inclusion Criteria:
- 60 years and older
- Inpatients
- Scheduled for a non-cardiac surgical procedure under general or central neuraxial
anesthesia
Exclusion Criteria:
- Pre-existing end-stage renal disease: operationalized as a preoperative need for
dialysis
- The following surgical procedures: renal surgery, cardiac surgery, organ
transplantation, ophthalmic surgery, endoscopic gastrointestinal procedures, and
(interventional) radiologic procedures.
- small non-invasive or minimally-invasive procedures will also be excluded,
operationalized as excluding procedures with a surgical time of less than twenty
minutes.
We found this trial at
1
site
1211 Medical Center Dr
Nashville, Tennessee 37232
Nashville, Tennessee 37232
(615) 322-5000
Phone: 615-936-0277
Vanderbilt Univ Med Ctr Vanderbilt University Medical Center (VUMC) is a comprehensive healthcare facility dedicated...
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