Ultrasound Monitoring of Jugular Venous Pulse during Space Missions: Proof of Concept

Zamboni, Paolo; Sisini, Francesco; Menegatti, Erica; Taibi, Angelo; Gadda, Giacomo; Tavoni, Valentina; Malagoni, Anna Maria; Tessari, Mirko; Gianesini, Sergio; Gambaccini, M.

doi:10.1016/j.ultrasmedbio.2017.11.001

Cited by 11 publications

(17 citation statements)

References 11 publications

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“…Therefore, having a rapid ultrasonographic test, which can also be performed by the general practitioner, could be decisive in the global management of heart failure, a disease that is thought to affect approximately 1–2% in the western world, with an incidence rate approaching 5–10 per 1000 persons per year [ 31 ], and which is more prevalent amongst the elderly and more common in women [ 32 ]. In addition, the non-invasive model could also be helpful in the evaluation of suspected hypovolemia, and cerebral venous return, or even in space medicine [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

“…Alongside the direct CVP measurement, the US assessment of the IJVs (both right and left) was performed as previously described [ 3 , 21 ]. A Vivid-q ultrasound system (GE Medical Systems, Horten, Norway) equipped with a linear array probe L12-RS (7.5–11 MHz) was used.…”

Section: Methodsmentioning

confidence: 99%

“…This procedure provided the IJV-CSA values in cm 2 versus sonogram acquisition time, the obtained result corresponded to the JVP trace (e.g. Fig 1 ) [ 3 , 19 , 21 ], whereas the CVP time series signal dataset was produced by digitally identifying the position of each point of the CVP trace represented on the acquired image. Subsequently the JVP and the CVP traces were synchronised using the ECG signal recorded together with the measurements.…”

Section: Methodsmentioning

confidence: 99%

“…Finally, the obtained datasets were elaborated with Matlab (MathWorks, Inc.) and R software [ 24 ] to remove the frequencies of non-cardiac origin, mainly CSA variations due to activation of the thoracic pump [ 25 ]. This removed noise from the traces, therefore highlighting the contribution of the cardiac contraction to both traces [ 21 , 26 ]. Finally, the post processing aimed to conform the length of the traces making the comparison easier.…”

Section: Methodsmentioning

confidence: 99%

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Central venous pressure estimation from ultrasound assessment of the jugular venous pulse

et al. 2020

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Objectives Acquiring central venous pressure (CVP), an important clinical parameter, requires an invasive procedure, which poses risk to patients. The aim of the study was to develop a non-invasive methodology for determining mean-CVP from ultrasound assessment of the jugular venous pulse. Methods In thirty-four adult patients (age = 60 ± 12 years; 10 males), CVP was measured using a central venous catheter, with internal jugular vein (IJV) cross-sectional area (CSA) variation along the cardiac beat acquired using ultrasound. The resultant CVP and IJV-CSA signals were synchronized with electrocardiogram (ECG) signals acquired from the patients. Autocorrelation signals were derived from the IJV-CSA signals using algorithms in R (open-source statistical software). The correlation r-values for successive lag intervals were extracted and used to build a linear regression model in which mean-CVP was the response variable and the lagging autocorrelation r-values and mean IJV-CSA, were the predictor variables. The optimum model was identified using the minimum AIC value and validated using 10-fold cross-validation. Results While the CVP and IJV-CSA signals were poorly correlated (mean r = -0.018, SD = 0.357) due to the IJV-CSA signal lagging behind the CVP signal, their autocorrelation counterparts were highly positively correlated (mean r = 0.725, SD = 0.215). Using the lagging autocorrelation r-values as predictors, mean-CVP was predicted with reasonable accuracy (r 2 = 0.612), with a mean-absolute-error of 1.455 cmH 2 O, which rose to 2.436 cmH 2 O when cross-validation was performed. Conclusions Mean-CVP can be estimated non-invasively by using the lagged autocorrelation r-values of the IJV-CSA signal. This new methodology may have considerable potential as a clinical monitoring and diagnostic tool.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Central venous pressure estimation from ultrasound assessment of the jugular venous pulse

et al. 2020

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“…However, the information contained in the JVP is difficult to interpret, with relatively little known about the effect that changes in CVP and IJV-CSA have on blood flow in the IJVs. 17 Consequently, much remains unknown about the dynamics of the JVP and its interaction with CVP. With this in mind, we established a program of work to investigate the potential for using US assessment of the JVP to noninvasively evaluate CVP.…”

Section: Introductionmentioning

confidence: 99%

Spectral characteristics of the internal jugular vein and central venous pressure pulses: a proof of concept study

Beggs

Tavoni

Menegatti

et al. 2021

Veins and Lymphatics

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In this proof-of-concept study the impact of central venous pressure (CVP) on internal jugular veins cross-sectional area (CSA) and blood flow time-average velocity (TAV) was evaluated in eight subjects, with the aim of understanding the drivers of the jugular venous pulse. CVP was measured using a central venous catheter while CSA variation and TAV along a cardiac cycle were acquired using ultrasound. Analysis of CVP, CSA and TAV time-series signals revealed TAV and CSA to lag behind CVP by on average 0.129 s and 0.138 s, with an inverse correlation between CSA and TAV (r= –0.316). The respective autocorrelation signals were strongly correlated (mean r=0.729-0.764), with mean CSA periodicity being 1.062 Hz. Fourier analysis revealed the frequency spectrums of CVP, TAV and CSA signals to be dominated by frequencies at approximately 1 and 2 Hz, with those >1 Hz greatly attenuated in the CSA signal. Because the autocorrelograms and periodograms of the respective signals were aligned and dominated by the same underlying frequencies, this suggested that they are more easily interpreted in the frequency domain rather than the time domain.

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Optimizing healthcare in space: the role of ultrasound imaging in medical conditions

Pirri,

Stecco

et al. 2024

J Ultrasound

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Ultrasound Monitoring of Jugular Venous Pulse during Space Missions: Proof of Concept

Cited by 11 publications

References 11 publications

Central venous pressure estimation from ultrasound assessment of the jugular venous pulse

Central venous pressure estimation from ultrasound assessment of the jugular venous pulse

Spectral characteristics of the internal jugular vein and central venous pressure pulses: a proof of concept study

Optimizing healthcare in space: the role of ultrasound imaging in medical conditions

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