Passive Leg Raising for Fluid Responsiveness in Children: Is it Reliable?

Javed Ismail¹, Arun Bansal²

¹Pediatric Intensive Care, NMC Royal Hospital, Abu Dhabi, United Arab Emirates
²Department of Pediatrics, Advanced Pediatric Centre, Postgraduate Institute of Medical Education and Research, Chandigarh, India

Corresponding Author: Arun Bansal, Department of Pediatrics, Advanced Pediatric Centre, Postgraduate Institute of Medical Education and Research, Chandigarh, India, Phone: +91 9815455002, e-mail: drarunbansal@gmail.com

How to cite this article Ismail J, Bansal A. Passive Leg Raising for Fluid Responsiveness in Children: Is it Reliable? Indian J Crit Care Med 2020;24(5):291–292.

Source of support: Nil

Conflict of interest: None

Intravenous fluid administration is an integral part of management for critically ill children with impaired perfusion. Loss of more than 15–20% of intravascular volume impairs the preload which in turn results in decreased cardiac output, clinically manifesting with signs of impaired perfusion or shock. In children, major causes of shock, such as diarrhea, hemorrhage, sepsis, or anaphylaxis, result in either actual or relative intravascular hypovolemia (due to vasodilation). Rapid administration of fluid bolus could augment preload to improve the cardiac output and, thus, can potentially reverse shock. However, studies demonstrate that only half of the patients are preload responsive. In the other half, this fluid accumulates and leaks into the interstitial space of almost all organs and can result in serious adverse effects. Fluid leak is exacerbated in inflammatory states such as sepsis; and about 95% of the given fluid leaks out within 1 hour even among the fluid responders, thus limiting the beneficial effect.¹ Hence, to identify which patient would respond to fluid bolus, tests of fluid responsiveness are recommended. Static parameters such as heart rate, systolic blood pressure, central venous pressure, and pulmonary artery occlusion pressure are the points of assessments and are poor predictors of fluid responsiveness. Dynamic parameters are based on heart–lung interaction and are proven to be reliable. Some of the common dynamic parameters are:

Pulse pressure variation
Stroke volume variation
Pulse plethysmographic index
Changes in aortic or carotid blood flow velocity with respiration
Changes in inferior vena cava diameter with respiration
Ventilator maneuvers such as end expiratory occlusion, tidal volume challenge
Fluid challenge such as passive leg raising test (PLR) or mini fluid bolus.

Of these, fluid challenge is the gold standard, in which about 10–20 mL/kg of crystalloid is administered and the real-time changes in cardiac output are measured. The PLR mimics fluid challenge, where the change in position increases the preload. The PLR can be used in both spontaneously breathing and ventilated patients (irrespective of the mode of ventilation or tidal volume) and in those with right heart failure or those who have postcardiac surgery with open sternum. In adults, a meta-analysis of 23 trials, PLR has proved to be accurate with area under the receiver–operating characteristic curve (AUC-ROC curve) of 0.95 (95% CI, 0.92–0.98) with a sensitivity of 86% (95% CI, 79–92) and specificity of 92% (95% CI, 88–96).²

In the study by El-Nawawy et al.³ published in this issue of journal, 57 critically ill children were assessed for fluid responsiveness using PLR-induced hemodynamic changes estimated using transthoracic echocardiography against fluid challenge as the standard. Interestingly, the cohort consisted predominantly of infants with a mean age of 5 months, in contrast to the previous pediatric studies on PLR.^4–6 For applicability of PLR in children, the caveat lies in the method of assessment of its response. In adults, Monnet et al.⁷ demonstrated that the highest value of change in outcome (aortic blood flow and the pulse pressure) was observed within the first 30 seconds of PLR. This implies that, to capture the flow changes accurately, a continuous real-time measurement tool is ideal. Commonly used techniques are esophageal Doppler aortic blood flow velocity, arterial pulse contour analysis, pulse pressure changes, and echocardiography.

In the index study, authors used transthoracic echocardiography to measure the changes in stroke volume (ΔSV) and cardiac index (ΔCI) with PLR; whereas, in other pediatric studies, cardiac output monitoring devices (NICOM, USCOM) have been utilized.^4,6 As echocardiography is an operator-dependent technique, pilot validation with intraclass correlation of 0.93 [95% confidence interval (CI) = 0.91 to 0.95, p < 0.001], implied good intraobserver reliability, thus adding confidence to the results. The positioning during PLR described by the authors is similar to that of adult and previous pediatric studies.^4,6,7 However, positioning of young infants for PLR could be practically challenging. Authors reported that the change in stroke volume (ΔSV) ≥10% during PLR indicates fluid responsiveness with AUC-ROC of 0.81 (95% CI = 0.68–0.9), a sensitivity of 65.38%, and a specificity of 100%. Also, the change in cardiac index (ΔCI) ≥8.7% identified with AUC-ROC of 0.7 (95% CI 0.56–0.81), sensitivity of 57.78%, and a specificity of 91.67%. This means that if ΔSV ≥10% and ΔCI ≥8.7% on echocardiography during PLR, it is highly predictive of fluid responsiveness in children. In addition to the limitations acknowledged by the authors, our concern is that the echocardiography is highly operator dependent; and in spite of the repeated measurements by the same person during PLR and after the fluid bolus, there is an inherent risk of observer bias. Also, a specificity of 100% or a positive predictive value of 1 implies zero false positivity which indicated bias. Moreover, nonresponders account for a small proportion (only 5 of 57), and 3 of these 5 patients died, thereby limiting the generalizability of the results to other cohorts. Overall, this study adds to the limited data on fluid responsiveness in critically ill children. Future studies should in addition account for the growth-related changes in ventricular compliance and its modifiers during disease states. Also, more reliable, cheaper, and easier automated devices to continually assess the cardiac output could pave the way for reliable results and better outcomes.

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