Pre-Eclampsia Clinical Trial
Official title:
PREDICTION OF FLUID RESPONSIVENESS WITH PASSIVE LEG RISING IN PREGNANT PATIENTS WITH SEVERE PREECLAMPSIA
BACKGROUND: A cornerstone of treatment in preeclampsia is to correct the potential
hypovolemia with intravascular optimisation, which is usually performed as a fluid challenge.
The prediction of fluid responsiveness in these patients, secondary to anatomical and
physiological changes associated with pregnancy has not been established. This study aims to
evaluate if Passive Leg Raising (PLR) protocol can predict fluid responsiveness in pregnant
patients with severe preeclampsia.
MATERIALS AND METHODS: in 35 pregnant women diagnosed with preeclampsia with a clinical
indication to optimise intravascular volume, . A PLR manoeuvre and a fluid challenge will be
performed, and hemodynamic parameters were recorded using Bioreactance technology.
Descriptive statistical analyses, Pearson chi-square test, and mean standard deviation (SD)
will be calculated. Analysis of proportion was used to calculate probabilistic intersections
of the interventions. The area under curve, sensitivity, specificity, positive predictive
value and negative predictive value were calculated for a delta of 12.
Objective: to evaluate the if passive leg rising protocol identifies fluid responsivness in
pregnant patients with preeclampsia
INTRODUCTION The clinical manifestations of preeclampsia (PE) are the consequence of
endothelial dysfunction. [1, 2] Different hemodynamic patterns have been described, which
includes: high vascular resistance, cardiac output (CO) alterations, relative hypovolemia,
and increased risk for pulmonary oedema, [3-6] which has been recognised as the most common
final cause of death in women with complications of hypertension7. The risk of pulmonary
oedema in preeclampsia is caused by different pathophysiological changes that follow the
disease. It can be classified as increase preload caused by iatrogenic resuscitation and
resolving puerperal oedema. Cardiac causes such as the presence of a myopathic ventricle,
diastolic dysfunction, valvular heart disease, increased afterload caused by severe
hypertension and increased vascular resistance, and other factors such as reduced oncotic
pressure increased capillary permeability or a combination of all.
A cornerstone of treatment to correct the potential hypovolemia in preeclampsia is
intravascular volume optimization, which usually is performed as a fluid challenge, [8-9]
However, the increased risk of pulmonary oedema has made us understand the need to use
dynamic hemodynamic parameters for fluid responsiveness to guide optimal intravascular volume
optimization in this group of patients.
Monitoring fluid therapy upon clinical observation or the estimation of filling pressures
using clinical markers such as blood pressure, pulse rate and urinary output as an endpoint
of euvolemia may be inaccurate in women with severe preeclampsia. In critically ill settings
the resolution of severe hypovolaemia is accompanied by rising blood pressure, falling of
pulse rate and increasing the urinary output. However, in preeclamptic women, oliguria may
develop because of intrinsic renal disease and may not respond to plasma volume expansion
with an increase of urinary output. [20] Tachycardia commonly complicates severe
preeclampsia, and a persistently rapid pulse rate may not be a reliable indication of
intravascular volume depletion, especially when the systolic blood pressure is within
reasonable limits.
In the intensive care unit, patients with spontaneous ventilation, an increase of stroke
volume during passive leg raising (PLR) predicts fluid responsiveness. [10-13] However,
during pregnancy, the validity of PLR has been questioned, secondary to the known anatomical
changes that occur from the compression of the inferior vena cava (IVC) by the gravid uterus
and the presence of increased abdominal pressure. [14-16] However recently Brun20 published
the first study that showed that PLR accurately predicts fluid responsiveness in the setting
of Severe Preeclampsia.
Thoracic bioreactance technology, [17] which is based on the analysis of thoracic voltage
amplitude changes in response to a high-frequency injected current, and has the potential to
be a useful noninvasive clinical tool for monitoring hemodynamics in pregnant women. However,
the prediction of fluid responsiveness in these patients, secondary to anatomical and
physiological changes associated with pregnancy has not been established.
The objective of this protocol is to evaluate if PLR test can predict fluid responsiveness in
pregnant patients with severe preeclampsia.
MATERIALS AND METHODS The study is approved by the Institutional Review Board. Both ethic and
research committee approved the protocol with registers number DI/17/112/03/039. Patients
will be informed and signed consent before participation. Patients are going to be
prospectively assessed, and consecutive measurements will be performed in an obstetric ICU of
Mexico´s General Hospital Dr Eduardo Liceaga from December 2016 to July 2017. A sample was
calculated for known variance P .01. Measurements for blood pressure and heart rate are made
using bioreactance (NICOMTM Panamedical Mexico City, Mexico) technology.[18] The monitor will
be placed at bedside, to monitor Systolic Arterial Pressure (SAP) and Diastolic Arterial
Pressure (DAP), Stroke Volume (SV), Stroke Volume Index (IVS), Cardiac Output (CO) and
Cardiac Index (CI).18 Because hemodynamic values may vary within a respiratory cycle,[17] an
average of 10 consecutive cardiac cycles, over at least one respiratory cycle, was used for
measurements of SAP, DAP, MAP, SV, and ISV.
Moreover, we use the best dynamic index report under those 10 minutes. A PLR manoeuvre was
performed for 3 minutes. The manoeuvre involved elevating the patient's legs and placing them
on an inflatable leg wedge providing an angle of 45 degrees while in the supine position.
Next, a 250 crystalloid /colloid (Hartmann + albumin 25%) bolus was given recording the same
hemodynamic parameters to observe changes in dynamic measurements to compare both results and
classified them as responder and non-responder. No determination or Central Venous Pressure
or surrogate was made because of the accumulative evidence of the failure of this methods to
detect changes in intravascular volume status. A change of 12% after PLR and bolus was used
to consider a patient responder[20]. Finally, we used the values for ISV because it would be
the better parameter (without the influence of heart rate and independent of the body area).
STATISTICAL ANALYSIS Using SPSS 23 statistics Descriptive data analysis of patients will be
performed for this purpose, a multivariable database will be constructed, and descriptive
statistical analyses made. To evaluate the distribution between variables a Pearson
chi-square test will be used. Mean standard deviation (SD) values, and analysis of proportion
with the aim of knowing the probabilistic intersections. The area under the curve,
sensitivity, specificity, negative predictive and positive predictive value will be
calculated for 12 for ISV.
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