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HYPOTHESIS AND THEORY article

Front. Med. Technol., 14 May 2021
Sec. Diagnostic and Therapeutic Devices
Volume 3 - 2021 | https://doi.org/10.3389/fmedt.2021.676995

Inferring the Frank–Starling Curve From Simultaneous Venous and Arterial Doppler: Measurements From a Wireless, Wearable Ultrasound Patch

Jon-Émile S. Kenny1* Igor Barjaktarevic2 David C. Mackenzie3,4 Philippe Rola5 Korbin Haycock6 Andrew M. Eibl1 Joseph K. Eibl1,7
  • 1Health Sciences North Research Institute, Sudbury, ON, Canada
  • 2Division of Pulmonary and Critical Care, Department of Medicine, David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, CA, United States
  • 3Department of Emergency Medicine, Maine Medical Center, Portland, Maine
  • 4Tufts University School of Medicine, Boston, MA, United States
  • 5Division of Intensive Care, Santa Cabrini Hospital, Montreal, QC, Canada
  • 6Department of Emergency Medicine, Riverside University Health System Medical Center, Moreno Valley, CA, United States
  • 7Northern Ontario School of Medicine, Sudbury, ON, Canada

The Frank–Starling relationship is a fundamental concept in cardiovascular physiology, relating change in cardiac filling to its output. Historically, this relationship has been measured by physiologists and clinicians using invasive monitoring tools, relating right atrial pressure (Pra) to stroke volume (SV) because the Pra-SV slope has therapeutic implications. For example, a critically ill patient with a flattened Pra-SV slope may have low Pra yet fail to increase SV following additional cardiac filling (e.g., intravenous fluids). Provocative maneuvers such as the passive leg raise (PLR) have been proposed to identify these “fluid non-responders”; however, simultaneously measuring cardiac filling and output via non-invasive methods like ultrasound is cumbersome during a PLR. In this Hypothesis and Theory submission, we suggest that a wearable Doppler ultrasound can infer the Pra-SV relationship by simultaneously capturing jugular venous and carotid arterial Doppler in real time. We propose that this method would confirm that low cardiac filling may associate with poor response to additional volume. Additionally, simultaneous assessment of venous filling and arterial output could help interpret and compare provocative maneuvers like the PLR because change in cardiac filling can be confirmed. If our hypothesis is confirmed with future investigation, wearable monitors capable of monitoring both variables of the Frank–Starling relation could be helpful in the ICU and other less acute patient settings.

Introduction

When receiving more blood from peripheral tissues, cardiac myocytes elongate and contract with greater force—ensuring that the heart ejects what it receives (1); this fundamental attribute is known as the Frank–Starling mechanism. Historically, the Frank–Starling relationship is illustrated with right atrial pressure (Pra, a surrogate for cardiac filling volume) on the x-axis and stroke volume (SV) on the y-axis (Figure 1). Clinicians and physiologists have used the slope of the Pra-SV relationship to define the adequacy of cardiac function; normally, a small increase in Pra leads to a large increase in SV (6).

FIGURE 1
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Figure 1. Depiction of normal and abnormal Frank–Starling relationships. The abscissa is Pra or right atrial pressure as classically measured (e.g., by a pulmonary artery catheter). The venous Doppler morphology is depicted as a surrogate for Pra (2, 3). The ordinate is stroke volume as classically measured (e.g., by a pulmonary artery catheter). The change in carotid arterial Doppler is shown as a surrogate for changing stroke volume (4, 5). Two theoretical curves are depicted with equal change in Pra, for example from a passive leg raise (arrow Δx). Two potential responses in SV are observed: (1) abnormal, unhealthy (Δy1) and (2) normal, healthy (Δy2) such that two semiquantitative slopes (Δyx) are inferred.

With acute and chronic disease, however, the slope of the Frank–Starling curve can flatten (7, 8) (Figure 1). This is especially important in critical illness when cardiac function changes rapidly as a consequence of disease and therapy. A diminished Pra-SV relationship in the intensive care unit (ICU) is particularly important to capture because it may represent a state of “volume unresponsiveness” (9), that is, when SV does not rise in response to augmented cardiac filling volume (e.g., intravenous fluids). In general, roughly 50% of critically ill patients are in a state of “volume unresponsiveness” such that providing intravenous fluids to augment SV is unhelpful (10). Given that excessive, intravenous fluid in the ICU is associated with adverse events (11) and that targeted administration of intravenous fluids improves patient-centered outcomes (9, 12), delivering fluid therapy in the ICU based on functional hemodynamic monitoring (FHM) has become standard-of-care (1315).

FHM is a physiology-based paradigm that centers intravenous fluid therapy around the slope of the Frank–Starling curve rather than absolute values of cardiac filling pressure or output. Importantly, to define the slope of the curve, the change in SV (y-axis) is measured following the change in right atrial pressure (x-axis) (Figure 1). Traditionally, clinicians used invasive monitoring tools such as the pulmonary artery catheter—where cardiac filling pressure and output are quantified in response to intravenous fluids. However, in the contemporary ICU, invasive monitors are used less frequently, being replaced with non-invasive methodologies (16). One approach to measure SV is with Doppler ultrasound following increased cardiac filling induced by a passive leg raise (PLR) maneuver (6). Yet, the workflow is cumbersome to perform with a handheld ultrasound, and when done, clinicians typically only measure the change in SV (i.e., y-axis) while assuming that the PLR maneuver increases cardiac filling (i.e., the x-axis). Indeed, experts in FHM stress that increased cardiac volume has to be confirmed to rise during the PLR (17), though this is rarely done because it necessitates either invasive monitoring or because it is difficult to non-invasively monitor both cardiac inflow and outflow, synchronously.

The Hypothesis

Given that arterial Doppler ultrasound tracks SV (18, 19) and venous Doppler qualitatively changes in response to increased right atrial pressure (2, 3), we hypothesize that a wireless, wearable Doppler ultrasound simultaneously insonating the common carotid artery and internal jugular vein will demonstrate the Frank–Starling relationship in real time. In this manner, hands-free ultrasound can identify patients with low cardiac filling pressure who are, nevertheless, volume “unresponsive” and also determine if provocative maneuvers like the PLR augment cardiac filling.

Clinical Considerations and Description of the Wearable Doppler

In the ICU, the relationship between Pra and the slope of the Frank–Starling curve is variable, even at low Pra. As above, this speaks to the high frequency of critically ill patients with reduced Pra-SV slope. More specifically, 20–40% of patients with a “low” Pra (e.g., <5–8 mmHg) are “volume unresponsive” (20, 21). These data have been borne out using non-invasive, ultrasonographic surrogates for the Pra such as collapse of the inferior vena cava (IVC). Inspiratory collapse of the IVC is present in ~20–30% of patients who do not augment SV in response to intravenous fluids (22).

Importantly, the qualitative morphology of the venous Doppler velocity envelope also changes as a function of Pra. This is demonstrated in multiple veins including the hepatic (23), portal (24), common femoral (25), internal jugular (26), and the superior vena cava (27). Moreover, Iida and Tang have, more recently, observed and illustrated the aforementioned changes in the intrarenal venous Doppler waveform in heart failure patients (2, 3). Given that many ICU patients have a diminished Frank–Starling slope (7, 8) despite having low Pra and/or IVC collapse (2022), we suspect that some ICU patients will have jugular venous Doppler velocimetry consistent with low Pra, yet not augment SV in response to a PLR. Furthermore, we anticipate that a PLR will modify the internal jugular venous Doppler consistent with rising Pra–qualitatively tracking the x-axis of the Frank–Starling relationship (Figure 1).

Association between changing SV and common carotid arterial Doppler in critically ill patients has been demonstrated (18, 19). This is noted for both total flow and corrected systolic flow time as a surrogate for SV and supported by a recent systematic review (28). Nevertheless, there are conflicting data on this topic (29); there are potentially many sources of error that could explain discrepant results including variability in devices used, patient demography, and protocol differences (30, 31). Additionally, as human sampling error affects handheld carotid Doppler measurements (30, 32), it may be that manual manipulation and differences in the number of beats sampled account for conflicting results.

To mitigate some of the aforementioned sources of error, we have deployed a wireless, wearable, continuous wave, 4-MHz Doppler ultrasound patch that generates a broad beam capable of insonating both the common carotid artery and internal jugular vein, simultaneously (33, 34). More specifically, the device (Flosonics Medical, Sudbury, Ontario, Canada) insonates a field ~3 to 4 times the width of a normal carotid artery such that both common carotid arterial and jugular venous spectra are visually and audibly displayed to the clinician via the user interface. A recent usability comprising physicians, nurses, and lay users showed that Doppler spectra were quickly and easily obtained by all after a brief training video (34).

The wearable ultrasound adheres to the neck and maintains a constant angle of insonation relative to the carotid and jugular vein even when a patient is made supine during a PLR, so long as neck position does not change during the maneuver (34). Also, the device averages cardiac cycles over many seconds which attenuates handheld sampling variability (30, 31).

The wearable Doppler ultrasound has been studied in healthy volunteers where an excellent association between changing SV and carotid artery Doppler was observed (4, 5). More specifically, we have shown that a clinically significant change in SV (i.e., more than 10%) was captured by a rise in carotid artery velocity time integral (VTI) and FTc of at least 15 and 3–4%, respectively (4, 5).

Proposed Evaluation Of The Hypothesis

Given the unique ability of the ultrasound patch to simultaneously insonate both the carotid artery and jugular vein, we hypothesize that instantaneous assessment of venous and arterial Doppler during a PLR could intimate the slope of the Pra-SV relationship. Importantly, the Pra-SV slope evolves as a consequence of the PLR (Figure 1)—it is not that an absolute slope of the curve is calculated before and after the PLR. Accordingly, this approach requires neither the absolute value of Pra nor SV but rather demands simply that their change be tracked in real time. In other words, measuring how the common carotid artery Doppler profile changes during the PLR infers ΔSV (Δy of the Pra-SV relationship), while venous Doppler qualitatively tracks the ΔPrax of the Pra-SV relationship). Therefore, in this hypothesis, we emphasize that using venous and arterial Doppler to infer changes in Pra and SV are qualitative and semiquantitative approaches, respectively, to obtain ΔSV/ΔPra induced by PLR. For example, with a normal, steep Pra-SV relationship, PLR is expected to induce a relatively large ΔSV/ΔPra. By contrast, a diminished Pra-SV slope with low, baseline Pra should reveal venous waveform changes consistent with low, but rising, Pra and minimal elevation of arterial flow induced by PLR (Figure 1), that is, a comparatively low ΔSV/ΔPra.

Proof-of-Concept Data

Herein, we present two cases of simultaneously recorded internal jugular vein and common carotid artery Doppler signals via a wireless, wearable ultrasound patch (Figure 2) during PLR. The first is a healthy 25-year-old man also wearing a non-invasive, volume-clamp SV monitor (ClearSight, Edwards Lifesciences, Irvine, CA). The second is a previously healthy, 47-year-old, spontaneously breathing (i.e., not mechanically ventilated) woman admitted to the ICU for septic shock from pneumonia; her SV was simultaneously monitored via bioreactance (Cheetah NICOM, Baxter Medical, Deerfield, IL). Both underwent a 1-min baseline period followed by a 3-min PLR.

FIGURE 2
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Figure 2. Picture of wireless, wearable Doppler ultrasound.

The SV change recorded by bioreactance was obtained from the automated “Starling Report” generated by the NICOM device, in accordance with the manufacturer's recommendation and as utilized for clinical decision-making. The SV change measured by the non-invasive pulse contour device followed the protocol employed by the group who originally proposed the passive leg raise paradigm—as described previously (17, 35). The reason for the different gold standards was dictated by local preference and convenience at the time of assessment; these illustrative cases were chosen because both had similar baseline jugular venous morphology, but, with PLR, had different ΔSV/ΔPra responses per the hypothesis described above and elaborated upon below.

In the healthy subject, the baseline venous Doppler velocity envelope is continuous, high velocity, and minimally undulating. Per the Iida and Tang classification (2, 3), this illustrates low Pra. More specifically, Iida and colleagues found that continuous, biphasic, and monophasic venous Doppler morphology is related to Pra values of 5.4, 9.5, and 14.9 mmHg, respectively (2, 3). The high, continuous venous velocity is likely due to the Bernoulli principle in a partially collapsed, ellipsoid, jugular vein. Upon PLR, the venous waveform becomes somewhat pulsatile intimating a rise in Pra (Figure 3). Concomitantly, the increase in carotid arterial VTI and corrected systolic flow time demonstrates clinically significant SV augmentation (4, 5), which was confirmed by the non-invasive volume-clamp SV monitor. Thus, from the wearable Doppler, the subject was inferred to have a relatively large ΔSV/ΔPra.

FIGURE 3
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Figure 3. Example of simultaneous carotid arterial and jugular venous Doppler in healthy subject during passive leg raise. At baseline, in semirecumbent, the subject has continuous (low Pra) jugular venous Doppler morphology. Upon passive leg raise (PLR), the venous morphology transitions to a pulsatile morphology suggesting a rise in Pra. There is augmentation of carotid arterial Doppler metrics during PLR and SV by non-invasive volume-clamp. Compare this response to the “normal” Pra-SV relationship in Figure 1. VTI is velocity time integral in centimeters, cm. FTc is corrected flow time in milliseconds, ms. SV is stroke volume in milliliters, ml. cm/s is centimeters per second.

In the critically ill patient, baseline jugular vein morphology is also continuous with high velocity consistent with a partially collapsed vein (Figure 4). Upon PLR, the venous morphology varies with respiration. On inspiration, the velocity is high and continuous suggesting partial vein collapse, while on expiration, the velocity falls into a pulsatile morphology consistent with rising Pra. Nevertheless, the patient has no significant change in carotid arterial VTI (21 to 22 cm, +5%) or corrected systolic flow time (314 to 319 ms, +2%), demonstrating little change in SV as described previously (4, 5). Bioreactance monitoring confirmed that this patient did not increase SV with PLR (+4%). Thus, from the wearable Doppler, the patient was inferred to have a relatively low ΔSV/ΔPra.

FIGURE 4
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Figure 4. Example of simultaneous carotid arterial and jugular venous Doppler in a patient with septic shock during passive leg raise. At baseline, in semirecumbent, the patient has continuous (low Pra) jugular venous Doppler morphology. Upon PLR, the venous morphology transitions to a pulsatile waveform on expiration. On inspiration, the velocity is high, suggesting inspiratory collapse of the jugular vein. There is no augmentation of carotid arterial Doppler metrics during PLR. Compare this response to the “abnormal” Pra-SV relationship in Figure 1. VTI is velocity time integral in centimeters, cm. FTc is corrected flow time in milliseconds, ms. SVI is stroke volume index in milliliters, ml. cm/s is centimeters per second.

Discussion

In this Hypothesis and Theory submission, we provide proof-of-concept data suggesting that real-time, simultaneous Doppler ultrasound of the internal jugular vein and common carotid artery illustrates the Frank–Starling law of the heart. If confirmed in future investigations, this hypothesis has a number of clinically important implications. First, assessing the Pra-SV relationship gives the clinician a fuller picture of cardiac function as compared with absolute hemodynamic variables such as filling pressure, stroke volume, blood pressure, or ejection fraction (6). Because the slope of the Pra-SV curve is different between patients and within one patient over the arc of an illness, identifying a Pra or SV threshold to guide provision or withdrawal of fluid is not possible. More certainty regarding the Pra-SV slope could prevent unnecessary and potentially harmful intravenous fluids (9, 11). Recent data and meta-analysis support this approach (9, 12). Second, relating arterial-to-venous Doppler as described herein reiterates that low filling pressure—whether assessed by invasive catheter, inspiratory IVC collapse, or venous Doppler morphology—may be observed in a patient who is nevertheless preload intolerant. In other words, this approach reaffirms that low preload may associate with cardiac fluid unresponsiveness. Third, when the PLR is used as a reversible method to increase cardiac filling, jugular velocimetry helps determine if preload truly changes. While assuring that cardiac volume rises during a PLR is recommended by authorities (17), contemporaneously assessing cardiac filling and stroke volume is challenging with bedside ultrasound. Performing repeat PLR maneuvers in succession may not equally challenge the Frank–Starling mechanism should blood redistribution alter the amount of venous return with each maneuver. Accordingly, if the Frank–Starling mechanism is analogized to a “dose–response” curve, then the venous Doppler velocity morphology tells the clinician that different PLR maneuvers have “dosed” the heart equitably. In this manner, determining that the PLR truly modifies cardiac preload may partly explain conflicting data on the reproducibility of the PLR maneuver (36).

This hypothesis appears to indicate that elevated Pra (e.g., a biphasic or monophasic venous Doppler) is universally associated with “volume unresponsiveness”; that is, an elevated Pra invariably lands upon the flat portion of the Frank–Starling relationship. While rising Pra increases the probability of volume unresponsiveness (20), there may be clinical situations where administering intravenous fluid is beneficial in the context of elevated Pra. In a recent analysis of septic shock patients, intravenous fluid acted as an inotrope and improved the slope of the Frank–Starling curve (37). Nearly all fluid-naive patients increased cardiac index following intravenous fluids with baseline Pra of roughly 8 mmHg. This value of Pra is expected to demonstrate a continuous or biphasic pattern of venous Doppler based on the Iida classification (3). Nevertheless, fluids augmented SV with little change in the Pra in fluid-naive septic shock patients. Accordingly, patients with biphasic venous Doppler at baseline may benefit physiologically from fluids in the correct clinical context. In theory, PLR could help define this without the risk of unnecessary fluids.

In situations where excessive external pressure retards venous return to the right heart (e.g., tension pneumothorax, pericardial tamponade, dynamic hyperinflation), Pra rises relative to atmospheric pressure; however, Pra transmural pressure falls and the right heart shrinks in size. As the change in the venous Doppler waveform is thought partly due to the right atrium stretched to its elastic limits (i.e., elevated transmural Pra), the change in venous Doppler morphology secondary to external compression may not follow the pattern put forth in this hypothesis. Thus, patients with these pathologies require investigation before applying the physiological framework described above.

The effect of respiration on jugular venous Doppler morphology is also noteworthy. Presumably, when right atrial or central venous pressure is low, the vein is partially collapsed or ellipsoid, resulting in a relatively high-velocity, amorphous trace because of the Bernoulli principle. Nevertheless, with excessive inspiratory effort (+/– mechanical ventilation), Pra can be sucked below atmospheric pressure and collapse the vein, leading to high jugular velocity despite a truly high Pra. This is likely observed in the critically ill patient (Figure 4). Accordingly, the morphology of the venous trace might best approximate Pra at end-expiration—when intrathoracic pressure is closest to atmospheric pressure and so intravascular pressure best approximates its transmural pressure. Indeed, end-expiration is when invasively measured Pra should be obtained (20). Nevertheless, in patients with extreme respiratory distress, especially those also making active expiratory efforts, inferring qualitative change in Pra from venous Doppler may be invalid. If the patient is using accessory muscles of inspiration and contracting abdominal muscles on expiration, then respiratory effort is likely too great to interpret venous Doppler morphology. Notwithstanding, when a patient is fully adapted with a mechanical ventilator (i.e., making no respiratory effort), observing the jugular venous morphology at end-expiration remains most appropriate. Additionally, the change in the jugular venous morphology during a standardized, ventilator-delivered breath may divulge supplemental hemodynamic data. Given that passive, inspiratory distention of the jugular vein corresponds with a steep Frank–Starling curve (38), the change from a continuous, high velocity to a lower, potentially pulsatile velocity during a passive, mechanical breath suggests a steep Pra-SV relationship which could be confirmed with a PLR.

Finally, while resuscitation in the ICU has focused, historically, on forward, arterial flow, there is growing attention to either avoiding over-resuscitation or the concept of timely de-resuscitation. Sepsis studies have revealed an association between poorer outcomes and elevated Pra (39), Doppler flow abnormalities have been correlated with organ dysfunction (24), and certain groups are advocating de-resuscitation strategies such as the ROSE approach (40). Notably, following successful hemodialysis, carotid Doppler-corrected flow time rises with PLR (41) suggesting a rising Pra-SV slope. Additionally, loss of pulsatile venous morphology is observed with successful blood volume removal in the ICU (42). With this perspective, accurate, multimodal data triangulate the patient's physiological state and help the clinician select and titrate therapy accordingly. Thus, in the clinical context of volume overload, a rising Pra-SV slope with de-resuscitation therapy supports the benefit of diuresis and may detect the hemodynamic limits of this phase as well.

Conclusion

In this Hypothesis and Theory, we describe the physiological rationale and provide early proof-of-concept, feasibility data suggesting that simultaneous venous and arterial Doppler should be used to infer the slope of the Frank–Starling curve. We make this proposal because clinicians often approach functional hemodynamic monitoring with an implicit understanding of the Pra-SV relationship but focus their effort on capturing the change in stroke volume while ignoring the Pra. Furthermore, it is sometimes assumed that low Pra equates with a steep Frank–Starling relationship and that provocative maneuvers like the PLR invariably raise cardiac filling. We hypothesize that simultaneous jugular venous and carotid arterial Doppler assessment extrapolates the slope of the Pra-SV relationship. Accordingly, assessing venous filling and arterial output, in tandem, may prevent harmful fluids when Pra is low and when a patient is, nevertheless, volume unresponsive. Also, evaluating the venous waveform ensures that provocative maneuvers like the PLR truly raise cardiac filling volume as anticipated. Non-invasive evaluation of the Frank–Starling slope is important given that it changes rapidly in the ICU as a function of disease and therapy. Finally, should the aforementioned hypotheses prove correct with future investigation, wearable ultrasound monitors capable of assessing the Pra-SV relationship may be clinically helpful beyond the ICU, for example in dialysis units, the general medical floor, and in the outpatient setting.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author Contributions

J-ÉK: conception, analysis, interpretation, and drafting. IB, DM, PR, and KH: analysis, interpretation, and critical revisions. AE and JE: data capture, analysis, interpretation, and critical revisions. All authors contributed to the article and approved the submitted version.

Conflict of Interest

J-ÉK, JE, and AE are working with Flosonics, a start-up developing a commercial version of the ultrasound patch. IB has received grants and consulting fees for GE Healthcare.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Sequeira V, and van der Velden J. Historical perspective on heart function: the frank–starling law. Biophys Rev. (2015) 7:421–47. doi: 10.1007/s12551-015-0184-4

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Tang WW, and Kitai T. Intrarenal venous flow: a window into the congestive kidney failure phenotype of heart failure? JACC Heart Fail. (2016) 4:683–6. doi: 10.1016/j.jchf.2016.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Iida N, Seo Y, Sai S, Machino-Ohtsuka T, Yamamoto M, Ishizu T, et al. Clinical implications of intrarenal hemodynamic evaluation by doppler ultrasonography in heart failure. JACC Heart Fail. (2016) 4:674–82. doi: 10.1016/j.jchf.2016.03.016

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Kenny J-ÉS, Barjaktarevic I, Eibl AM, Parrotta M, Long BF, Eibl JK, et al. A carotid doppler patch accurately tracks stroke volume changes during a preload-modifying maneuver in healthy volunteers. Crit Care Explor. (2020) 2:e0072. doi: 10.1097/CCE.0000000000000072

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Kenny JÉS, Barjaktarevic I, Mackenzie DC, Eibl AM, Parrotta M, Long BF, et al. Diagnostic characteristics of 11 formulae for calculating corrected flow time as measured by a wearable doppler patch. Intensive Care Med Exp. (2020) 8:54. doi: 10.1186/s40635-020-00339-7

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Bentzer P, Griesdale DE, Boyd J, MacLean K, Sirounis D, and Ayas NT. Will this hemodynamically unstable patient respond to a bolus of intravenous fluids? JAMA. (2016) 316:1298–309. doi: 10.1001/jama.2016.12310

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Funk DJ, Jacobsohn E, and Kumar A. The role of venous return in critical illness and shock—part I: physiology. Crit Care Med. (2013) 41:255–62. doi: 10.1097/CCM.0b013e3182772ab6

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Funk DJ, Jacobsohn E, and Kumar A. Role of the venous return in critical illness and shock: part II—shock and mechanical ventilation. Crit Care Med. (2013) 41:573–9. doi: 10.1097/CCM.0b013e31827bfc25

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Douglas IS, Alapat PM, Corl KA, Exline MC, Forni LG, and Holder AL. Fluid response evaluation in sepsis hypotension and shock: a randomized clinical trial. Chest. (2020) 158:1431–45. doi: 10.1016/j.chest.2020.04.025

CrossRef Full Text | Google Scholar

10. Monnet X, Marik PE, and Teboul JL. Prediction of fluid responsiveness: an update. Ann Intensive Care. (2016) 6:111. doi: 10.1186/s13613-016-0216-7

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Marik PE, Linde-Zwirble WT, Bittner EA, Sahatjian J, and Hansell D. Fluid administration in severe sepsis and septic shock, patterns and outcomes: an analysis of a large national database. Intensive Care Med. (2017) 43:625–32. doi: 10.1007/s00134-016-4675-y

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Bednarczyk JM, Fridfinnson JA, Kumar A, Blanchard L, Rabbani R, Bell D, et al. Incorporating dynamic assessment of fluid responsiveness into goal-directed therapy: a systematic review and meta-analysis. Critical Care Med. (2017) 45:1538–45. doi: 10.1097/CCM.0000000000002554

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Pinsky MR, and Payen D. Functional hemodynamic monitoring. Crit Care. (2005) 9:566. doi: 10.1186/cc3927

CrossRef Full Text | Google Scholar

14. Cecconi M, De Backer D, Antonelli M, Beale R, Bakker J, Hofer C, et al. Consensus on circulatory shock and hemodynamic monitoring. Task force of the European society of intensive care medicine. Intensive Care Med. (2014) 40:1795–815. doi: 10.1007/s00134-014-3525-z

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Pinsky MR. Functional hemodynamic monitoring: current concepts in critical care. Curr Opin Crit Care. (2014) 20:288–93. doi: 10.1097/MCC.0000000000000090

CrossRef Full Text | Google Scholar

16. Barjaktarevic I, Kenny JÉS, Berlin D, and Cannesson M. The evolution of ultrasound in critical care. J Ultrasound Med. (2020) 40:401–5. doi: 10.1002/jum.15403

CrossRef Full Text | Google Scholar

17. Monnet X, and Teboul JL. Passive leg raising. Intensive Care Med. (2008) 34:659–63. doi: 10.1007/s00134-008-0994-y

CrossRef Full Text | Google Scholar

18. Marik PE, Levitov A, Young A, and Andrews L. The use of bioreactance and carotid doppler to determine volume responsiveness and blood flow redistribution following passive leg raising in hemodynamically unstable patients. Chest. (2013) 143:364–70. doi: 10.1378/chest.12-1274

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Barjaktarevic I, Toppen WE, Hu S, Montoya EA, Ong S, Buhr R, et al. Ultrasound assessment of the change in carotid corrected flow time in fluid responsiveness in undifferentiated shock. Crit Care Med. (2018) 46:e1040–6. doi: 10.1097/CCM.0000000000003356

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Magder S, and Bafaqeeh F. The clinical role of central venous pressure measurements. J Intensive Care Med. (2007) 22:44–51. doi: 10.1177/0885066606295303

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Eskesen T, Wetterslev M, and Perner A. Systematic review including re-analyses of 1148 individual data sets of central venous pressure as a predictor of fluid responsiveness. Intensive Care Med. (2016) 42:324–32. doi: 10.1007/s00134-015-4168-4

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Corl KA, George NR, Romanoff J, Levinson AT, Chheng DB, Merchant RC, et al. Inferior vena cava collapsibility detects fluid responsiveness among spontaneously breathing critically-ill patients. Journal Crit Care. (2017) 41:130–7. doi: 10.1016/j.jcrc.2017.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Abu-Yousef MM. Normal and respiratory variations of the hepatic and portal venous duplex doppler waveforms with simultaneous electrocardiographic correlation. J Ultrasound Med. (1992) 11:263–8. doi: 10.7863/jum.1992.11.6.263

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Denault AY, Beaubien-Souligny W, Elmi-Sarabi M, Eljaiek R, El-Hamamsy I, Lamarche Y, et al. Clinical significance of portal hypertension diagnosed with bedside ultrasound after cardiac surgery. Anesth Analg. (2017) 124:1109–15. doi: 10.1213/ANE.0000000000001812

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Abu-Yousef MM, Kakish M, and Mufid M. Pulsatile venous doppler flow in lower limbs: highly indicative of elevated right atrium pressure. AJR Am J Roentgenol. (1996) 167:977–80. doi: 10.2214/ajr.167.4.8819397

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Sivaciyan V, and Ranganathan N. Transcutaneous doppler jugular venous flow velocity recording. Circulation. (1978) 57:930–9. doi: 10.1161/01.CIR.57.5.930

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Ghio S, Recusani F, Sebastiani R, Klersy C, Raineri C, Campana C, et al. Doppler velocimetry in superior vena cava provides useful information on the right circulatory function in patients with congestive heart failure. Echocardiography. (2001) 18:469–77. doi: 10.1046/j.1540-8175.2001.00469.x

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Beier L, Davis J, Esener D, Grant C, and Fields JM. Carotid ultrasound to predict fluid responsiveness: a systematic review. J Ultrasound Med. (2020) 39:1965–76. doi: 10.1002/jum.15301

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Abbasi A, Azab N, Nayeemuddin M, Schick A, Lopardo T, Phillips GS, et al. Change in carotid blood flow and carotid corrected flow time assessed by novice sonologists fails to determine fluid responsiveness in spontaneously breathing intensive care unit patients. Ultrasound Med Biol. (2020) 46:2659–66. doi: 10.1016/j.ultrasmedbio.2020.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Kenny JÉS, and Barjaktarevic I. Timing and measurement variability are critical when using carotid doppler to infer hemodynamics. Ultrasound Med Biol. (2020) 46:3485–6. doi: 10.1016/j.ultrasmedbio.2020.08.029

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Kenny J, Cannesson M, and Barjaktarevic I. Minimizing measurement variability in carotid ultrasound evaluations. J Ultrasound Med. (2020) 40:855–6. doi: 10.1002/jum.15445

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lui EY, Steinman AH, Cobbold RS, and Johnston KW. Human factors as a source of error in peak doppler velocity measurement. J Vasc Surg. (2005) 42:972.e971–2. e910. doi: 10.1016/j.jvs.2005.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Kenny JÉS. Functional hemodynamic monitoring with a wireless ultrasound patch. J Cardiothorac Vasc Anesth. (2021) 35:1509–15. doi: 10.1053/j.jvca.2021.01.040

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Kenny J-ÉS, Munding CE, Eibl JK, Eibl AM, Long BF, Boyes A, et al. A novel, hands-free ultrasound patch for continuous monitoring of quantitative doppler in the carotid artery. Sci. Rep. (2021) 11:7780. doi: 10.1038/s41598-021-87116-y

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Monnet X, Rienzo M, Osman D, Anguel N, Richard C, Pinsky MR, et al. Passive leg raising predicts fluid responsiveness in the critically ill. Crit Care Med. (2006) 34:1402–7. doi: 10.1097/01.CCM.0000215453.11735.06

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Chopra S, Thompson J, Shahangian S, Thapamagar S, Moretta D, Gasho C, et al. Precision and consistency of the passive leg raising maneuver for determining fluid responsiveness with bioreactance non-invasive cardiac output monitoring in critically ill patients and healthy volunteers. PLoS ONE. (2019) 14:e0222956. doi: 10.1371/journal.pone.0222956

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Guarracino F, Bertini P, and Pinsky MR. Cardiovascular determinants of resuscitation from sepsis and septic shock. Crit Care. (2019) 23:118. doi: 10.1186/s13054-019-2414-9

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Guarracino F, Ferro B, Forfori F, Bertini P, Magliacano L, and Pinsky MR. Jugular vein distensibility predicts fluid responsiveness in septic patients. Crit Care. (2014) 18:647. doi: 10.1186/s13054-014-0647-1

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Boyd JH, Forbes J, Nakada TA, Walley KR, and Russell JA. Fluid resuscitation in septic shock: a positive fluid balance and elevated central venous pressure are associated with increased mortality. Crit Care Med. (2011) 39:259–65. doi: 10.1097/CCM.0b013e3181feeb15

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Malbrain ML, Regenmortel N, Saugel B, Tavernier B, Gaal P-J, Joannes-Boyau O, et al. Principles of fluid management and stewardship in septic shock: it is time to consider the four D's and the four phases of fluid therapy. Ann Intensive Care. (2018) 8:66. doi: 10.1186/s13613-018-0402-x

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Chebl RB, Wuhantu J, Kiblawi S, Dagher GA, Zgheib H, Bachir R, et al. Corrected carotid flow time and passive leg raise as a measure of volume status. Am J Emerg Med. (2019) 37:1460–5. doi: 10.1016/j.ajem.2018.10.047

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Tremblay JA, Beaubien-Souligny W, Elmi-Sarabi M, Desjardins G, and Denault AY. Point-of-care ultrasonography to assess portal vein pulsatility and the effect of inhaled milrinone and epoprostenol in severe right ventricular failure: a report of 2 cases. A&A Case Rep. (2017) 9:219–23. doi: 10.1213/XAA.0000000000000572

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: frank-starling mechanism, Doppler ultrasound, velocity time integral, corrected flow time, venous doppler signals, passive leg raise, fluid tolerance

Citation: Kenny J-ÉS, Barjaktarevic I, Mackenzie DC, Rola P, Haycock K, Eibl AM and Eibl JK (2021) Inferring the Frank–Starling Curve From Simultaneous Venous and Arterial Doppler: Measurements From a Wireless, Wearable Ultrasound Patch. Front. Med. Technol. 3:676995. doi: 10.3389/fmedt.2021.676995

Received: 06 March 2021; Accepted: 30 March 2021;
Published: 14 May 2021.

Edited by:

Shiming Zhang, The University of Hong Kong, Hong Kong

Reviewed by:

Qingyu Cui, University of California, Los Angeles, United States
Yangzhi Zhu, Terasaki Institute for Biomedical Innovation, United States

Copyright © 2021 Kenny, Barjaktarevic, Mackenzie, Rola, Haycock, Eibl and Eibl. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jon-Émile S. Kenny, jon-emile@heart-lung.org

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