| Literature DB >> 29675404 |
Sabine L Vrancken1, Arno F van Heijst1, Willem P de Boode1.
Abstract
Maintenance of neonatal circulatory homeostasis is a real challenge, due to the complex physiology during postnatal transition and the inherent immaturity of the cardiovascular system and other relevant organs. It is known that abnormal cardiovascular function during the neonatal period is associated with increased risk of severe morbidity and mortality. Understanding the functional and structural characteristics of the neonatal circulation is, therefore, essential, as therapeutic hemodynamic interventions should be based on the assumed underlying (patho)physiology. The clinical assessment of systemic blood flow (SBF) by indirect parameters, such as blood pressure, capillary refill time, heart rate, urine output, and central-peripheral temperature difference is inaccurate. As blood pressure is no surrogate for SBF, information on cardiac output and systemic vascular resistance should be obtained in combination with an evaluation of end organ perfusion. Accurate and reliable hemodynamic monitoring systems are required to detect inadequate tissue perfusion and oxygenation at an early stage before this result in irreversible damage. Also, the hemodynamic response to the initiated treatment should be re-evaluated regularly as changes in cardiovascular function can occur quickly. New insights in the understanding of neonatal cardiovascular physiology are reviewed and several methods for current and future neonatal hemodynamic monitoring are discussed.Entities:
Keywords: cardiac output; developmental physiology; hemodynamic monitoring; hemodynamics; neonate; preterm infant
Year: 2018 PMID: 29675404 PMCID: PMC5895966 DOI: 10.3389/fped.2018.00087
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.418
Figure 1Relationship between oxygen delivery and oxygen consumption. VO2, oxygen consumption; DO2, oxygen delivery; SvO2, (mixed) venous oxygen saturation; OER, oxygen extraction ratio. X-axis shows the gradual decrease in DO2 with the lowest DO2 on the right side of the figure; Light gray area: VO2 = DO2 independent; Dark gray area: VO2 = DO2 dependent.
Figure 2The neonatal circulation. RVO, right ventricular output; PBF pulmonary blood flow; LVO, left ventricular output; AAo, blood flow in ascending aorta; DAo, blood flow in descending aorta; DA, ductus arteriosus; VCS, vena cava superior; VCI, vena cava inferior; VR, venous return.
Figure 3Schematic representation of the Frank–Starling curve. 1 = adult cardiac function; 2 = fetal/neonatal cardiac function. A similar change in preload will result in a larger increase in cardiac output/stroke volume in adults than in neonates.
Figure 4Intravascular volumes and pressure in the venous compartment. Green interrupted line = Pmsf mean systemic filling pressure; dark blue box = unstressed volume = that volume which is required to fill the vasculature without increase in transmural pressure; light blue box = stressed volume = any amount of volume added to the unstressed volume that leads to an increase in transmural pressure.
Figure 5Relationship between PVR and lung volume. RV residual volume; FRC, functional residual capacity; TLC, total lung capacity; PVR, pulmonary vascular resistance; blue zone lowest pulmonary vascular resistance.
Advanced hemodynamic monitoring in neonates.
| Assessment of CO and intravascular volume | ||||
|---|---|---|---|---|
| Method | Hemodynamic variables | Limitations | Invasiveness and monitoring frequency | Applicability |
| Neonatologist performed echocardiography (NPE) | CO, vena cava superior flow, shunts, structural and functional abnormalities | Intensive training | Non-invasive | Clinical use (absolute values of CO) |
| Transcutaneous doppler (USCOM®) | CO | Large interobserver variability | Non-invasive | Limited clinical use (trend monitoring) |
| Thoracic electrical bio-impedance (ICON®, NICOM®) | CO | Influenced by position of surface electrodes, changes in tissue water content (pulmonary edema, pleural effusion), alterations in heart rate and motion artifacts | Non-invasive | Clinical use (trend monitoring) |
| Arterial pulse contour analysis (APCA) | CO | Influenced by changes in vascular compliance, vasomotor tone, medication, irregular heart rate, and motion artifacts | Invasive | Research setting |
| PPV, SVV, HRV | Influenced by physiological aliasing | Continuous | Research setting | |
| TPTD | CO | Use of ice-cold saline | Invasive | Only >3 kg |
| TPUD | CO, shunt detection and quantification | Arterial and central venous catheter needed | Invasive | Clinical use (absolute values of CO)APCA as trend monitoring |
| Stop flow method | Mean systemic filling pressure | Venous and arterial access in the same extremity | Invasive | Research setting |
| Plethysmograph variability index | Perfusion index | Non-invasive | Research setting | |
| Laser doppler flowmetry | Microcirculation (flow velocity) | Signal processing limitations | Non-invasive | Research setting |
| OPS, SDF, IDF | Microcirculation | Signal processing limitations (time-consuming) | Non-invasive | Research setting |
| NIRS | Regional blood flow, regional tissue oxygenation, and fractional tissue extraction | Lack of validation | Non-invasive | Clinical use (trend monitoring) |
CO, cardiac output; VTI, velocity-time integral; CSA, cross-sectional area; PPV, pulse pressure variation; SVV, stroke volume variation; HRV, heart rate variability; TPTD, transpulmonary thermodilution; GEDV, global end-diastolic blood volume; ITBV, intrathoracic blood volume; TPUD, transpulmonary ultrasound dilution; TEDV, total end-diastolic volume; CBV, central blood volume; ACV, active circulating volume, EVLW, extra vascular lung water; OPS, orthogonal polarization spectral; SDF, sidestream darkfield imaging; IDF, incident dark field imaging; NIRS, near infrared spectroscopy.