Perioperative anesthesiologists can benefit from easily obtainable hemodynamic variables detecting or quantifying the lack of an adequate compensatory capacity of the cardiovascular system in order to optimize patient management and improve patient outcomes. Parameters of the Pressure Recording Analytical Method (PRAM; Vygon, Padua, Italy) of the MostCare system, specifically cardiac cycle efficiency has been proposed as such variables. Yet, their value in anesthesia and especially in hypertensive patients is not studied. The goal of the PRAM-in-HYPO study is to prospectively evaluate the relationship between cardiac reserve and efficiency and cardiovascular risk factors in patients wo will undergo major surgical procedures using the state-of-the-art hemodynamic monitors. Also the investigators aim to build a predictive model to identify patients with decreased cardiac reserve due to hypertension and other cardiovascular risk factors, who are susceptible to post-induction hypotension. The investigators seek to include high-risk patients or patients presenting for major surgery, who are monitored with an advanced hemodynamic monitor to adequately evaluate the differences in cardiac reserve and cardiac efficiency.
Untreated hypertension decreases the cardiac reserve through several mechanisms, which are augmented by other cardiovascular risk factors such as diabetes mellitus and coronary artery disease. Perioperative stress on top of these overlapping diseases causes wide variations in the arterial blood pressure. From the anesthesiologist's point of view, this translates into a wide variation in response to surgical stress among patients with seemingly similar cardiovascular risk factors. The cardiac reserve may be measured by cardiac catheterization or echocardiography, none of which are feasible during a surgery. Recently, some parameters of the Pressure Recording Analytical Method (PRAM) were shown to be affected by hypertension or intraoperative events such as pneumoperitoneum and position changes. This suggests that PRAM may be used to evaluate the risk of adverse hemodynamic events in newly diagnosed, untreated hypertensive patients. The investigators hypothesized that there is a relationship between hypertension, diabetes mellitus and decreased cardiac reserve and efficiency and that PRAM parameters may identify this. Also, the static or dynamic PRAM parameters may predict pre-incision hypotension in patients wo will undergo major surgical procedures. In order to test these hypothesis, a prospective cohort study was planned, as the outcome has a very short latency and the intent is to observe the outcome, not to prevent or treat it. The investigators aim to collect high quality hemodynamic data from normotensive, hypertensive, and untreated hypertensive patients. In order to obtain sufficient relevant data, only patients scheduled for major surgeries will be included. Patients who are planned to be monitored with the MostCare hemodynamic monitor, and who need a passive leg raising test will be included in the study. Hypertension is the most prevalent of cardiovascular risk factors, namely diabetes mellitus, coronary artery disease, smoking, obesity, and dyslipidemia, which may present as either the mediator or cofounder of hypertension. Therefore a detailed medical history including information relevant to these conditions will be collected.
Study Type
OBSERVATIONAL
Enrollment
660
All patients who met the inclusion criteria will be placed head down flat and feet up at a 45° angle for 30 seconds. Hemodynamic parameters and analysis by pressure recording analytical method obtained with the MostCare will be collected before, during and after the test until the end of the surgery. The total duration of the intervention (passive leg raising) is 30 seconds. The total duration of hemodynamic parameters recording is expected to be 60-600 minutes.
Gazi University Medical Faculty, Department of Anesthesiology and Reanimation
Ankara, Turkey (Türkiye)
RECRUITINGErzurum Atatürk University Medical Faculty, Department of Anesthesiology and Reanimation
Erzurum, Turkey (Türkiye)
RECRUITINGBaşakşehir Çam ve Sakura City Hospital, University Medical Faculty, Anesthesiology and Reanimation Clinic
Istanbul, Turkey (Türkiye)
RECRUITINGAcıbadem University Medical Faculty, Department of Anesthesiology and Reanimation
Istanbul, Turkey (Türkiye)
RECRUITINGRecep Tayyip Erdogan University Medical Faculty, Department of Anesthesiology and Reanimation
Rize, Turkey (Türkiye)
NOT_YET_RECRUITINGDifference of mean CCE, dP/dt, SVI, CPI, Ea by hypertension and diabetes mellitus
Difference in baseline PRAM parameters between patients who have hypertension, diabetes mellitus and other cardiovascular diseases and those who have none.
Time frame: From the start of surgery until the end of surgery
Difference of mean CCE, dP/dt, SVI, CPI, Ea at the 30th second of passive leg raising by hypertension and diabetes mellitus
Difference in the magnitude of the changes observed in PRAM parameters after a passive leg raising test between patients who have hypertension, diabetes mellitus and other cardiovascular diseases and those who have none.
Time frame: From the start of passive leg raising test until the end of the test
Number of Participants With Mean Arterial Blood Pressure < 65 mmHg Within 5 Minutes Following Tracheal Intubation
Hypotension, defined as mean arterial blood pressure \< 65 mmHg, within 5 minutes after tracheal intubation.
Time frame: From the start of surgery until the end of surgery
Number of Participants With Mean Arterial Blood Pressure < 65 mmHg Between Tracheal Intubation and Surgical Incision
Hypotension, defined as mean arterial blood pressure \< 65 mmHg, between 5 minutes after tracheal intubation and surgical incision.
Time frame: From the start of surgery until the end of surgery
Number of Participants With Mean Arterial Blood Pressure < 65 mmHg During the Surgery
Hypotension, defined as mean arterial blood pressure \< 65 mmHg, between surgical incision and end of surgery.
Time frame: From the start of surgery until the end of surgery
Predictive factors of hypotension
Identification of patient characteristics and arterial pressure waveform parameters associated with hypotension. A multiple logistic regression analysis will be performed.
Time frame: From the start of surgery until the end of surgery
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