Abstract 16244: Point of Care Ultrasound of the Jugular Venous Pulse in the Upright Position (u 2 Jvp) Predicts Elevated Right Atrial Pressure and Pulmonary Capillary Wedge Pressure on Right Heart Catheterization in Obese and Non-obese Patients

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Libo Wang ◽  
Jonathan Harrison ◽  
Elizabeth Dranow ◽  
Lillian Khor
Keyword(s):  
Heart Failure ◽  
Predictive Value ◽  
Point Of Care ◽  
Right Heart Catheterization ◽  
Upright Position ◽  
Right Atrial ◽  
Heart Catheterization ◽  
Point Of Care Ultrasound ◽  
Right Heart ◽  
Clinically Significant

Introduction: Accurate intravascular volume status assessment is central to heart failure management, but current non-invasive bedside techniques remain a challenge. The visual inspection of jugular venous pulsation (JVP) in a reclined position and measuring its height from the sternal notch has been used as a surrogate for right atrial pressure (RAP). There are no studies on the predictive value of a visible internal jugular vein (IJV) in the upright position (U 2 JVP). Hypothesis: Point of care ultrasound (POCUS) for volume assessment in the upright position is predictive of clinically significant hypervolemia. Methods: Adult patients undergoing right heart catheterization (RHC) were enrolled prior for IJV imaging with point of care ultrasound (POCUS) device, Butterfly iQ™. The IJV and its size in comparison to the carotid artery was identified on ultrasound with the patient upright. Elevated RAP and PCWP was present if the IJV was still visible and not collapsed throughout the entirety of the respiratory cycle. Valsalva was used to confirm the position of a collapsed IJV. Results: 72 participants underwent U 2 JVP assessment on the same day prior to RHC. Average BMI was 31.9 kg/m2. The area under the curve (AUC) of U 2 JVP predicting RAP greater than 10 mmHg and PCWP of 15 mmhg or higher on RHC was 0.78 (95% CI 0.66-0.9, p<0.001), with AUC of 0.86 and 0.74 for non-obese and obese subgroups respectively, p= 0.38. The finding of a visible U 2 JVP in the upright position was 70.6 % sensitive and 85.5 % specific with a negative predictive value of 90.4% for identifying both RAP greater than 10 mmHg and PCWP equal or greater than 15 mmHg. Conclusions: The U 2 JVP is novel and pragmatic bed-side approach to the assessment of clinically significant elevated intra-cardiac pressures in our increasingly obese heart failure population.

Abstract 13180: Ultrasound Jugular Venous Pressure Collapse Point Predicts Elevated Right Atrial Pressure on Right Heart Catheterization in Obese and Nonobese Patients

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Libo Wang ◽  
Jonathan Harrison ◽  
Elizabeth Dranow ◽  
Lillian Khor
Keyword(s):  
Heart Failure ◽  
Venous Pressure ◽  
Right Heart Catheterization ◽  
Atrial Pressure ◽  
Right Atrial ◽  
Right Atrial Pressure ◽  
Heart Catheterization ◽  
Point Of Care Ultrasound ◽  
Right Heart ◽  
Simplified Approach

Introduction: Accurate intravascular volume status assessment is central to heart failure management, but current non-invasive bedside techniques remain a challenge. Visual inspection of jugular venous pulsation (JVP) is used as a surrogate for central venous pressure (CVP). Studies have shown variability and inaccuracy of the JVP exam in estimating CVP or right atrial pressure (RAP). Published methods of RAP estimation through internal jugular vein (IJV) ultrasonography are either complex or require offline analysis. We validated a simplified approach to ultrasonography of the JVP (uJVP) as a method to predict RAP. Methods: Adult patients undergoing right heart catheterization (RHC) were enrolled prior for IJV imaging with point of care ultrasound (POCUS) device, Butterfly iQ™. The IJV was identified on ultrasound with the patient reclined (head of bed between 30-45°) and followed cranially until tapering smaller than the adjacent carotid artery throughout the entirety of the respiratory cycle. The height of this collapse point from the sternal angle added to 5 centimeters was defined as ultrasound JVP (uJVP). Results: 77 participants underwent uJVP assessment on the same day prior to RHC. Average BMI was 33 kg/m 2 . The area under the curve (AUC) of uJVP and RAP greater than 10mmHg on RHC was 0.879 (95% CI 0.759-0.931, p<0.001), with AUC of 0.972 and 0.818 for non-obese and obese subgroups respectively, and AUC of 0.876 for elevated RAP and pulmonary capillary wedge pressure (PCWP). A uJVP cutoff of 9 or higher was 85% sensitive and 72% specific at identifying RAP greater than 10mmHg. Conclusion: We developed and validated a novel technique identifying the uJVP using POCUS which correlates with invasive RAP regardless of obesity. This technique predicted combined elevated left and right sided intracardiac pressures. The uJVP’s potential to enhance the diagnostic value of the bed-side examination in an increasingly obese heart failure population warrants further research.

scholarly journals The role of point-of-care ultrasound in the diagnosis of pericardial effusion: a single academic center retrospective study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Matthew G. Hanson ◽  
Barry Chan
Keyword(s):  
Pericardial Effusion ◽  
Point Of Care ◽  
Physical Exam ◽  
Right Atrial ◽  
Point Of Care Ultrasound ◽  
X Ray ◽  
Average Systolic Blood Pressure ◽  
Time To Diagnosis ◽  
Clinically Significant ◽  
The Impact

Abstract Background Symptomatic pericardial effusion (PCE) presents with non-specific features and are often missed on the initial physical exam, chest X-ray (CXR), and electrocardiogram (ECG). In extreme cases, misdiagnosis can evolve into decompensated cardiac tamponade, a life-threatening obstructive shock. The purpose of this study is to evaluate the impact of point-of-care ultrasound (POCUS) on the diagnosis and therapeutic intervention of clinically significant PCE. Methods In a retrospective chart review, we looked at all patients between 2002 and 2018 at a major Canadian academic hospital who had a pericardiocentesis for clinically significant PCE. We extracted the rate of presenting complaints, physical exam findings, X-ray findings, ECG findings, time-to-diagnosis, and time-to-pericardiocentesis and how these were impacted by POCUS. Results The most common presenting symptom was dyspnea (64%) and the average systolic blood pressure (SBP) was 120 mmHg. 86% of people presenting had an effusion > 1 cm, and 89% were circumferential on departmental echocardiogram (ECHO) with 64% having evidence of right atrial systolic collapse and 58% with early diastolic right ventricular collapse. The average time-to-diagnosis with POCUS was 5.9 h compared to > 12 h with other imaging including departmental ECHO. Those who had the PCE identified by POCUS had an average time-to-pericardiocentesis of 28.1 h compared to > 48 h with other diagnostic modalities. Conclusion POCUS expedites the diagnosis of symptomatic PCE given its non-specific clinical findings which, in turn, may accelerate the time-to-intervention.

scholarly journals IMPACT OF RIGHT HEART CATHETERIZATION IN ACUTE HEART FAILURE WITH REDUCED EJECTION FRACTION

2021 ◽  
Vol 77 (18) ◽  
pp. 726
Author(s):  
Samarthkumar Thakkar ◽  
Harsh Patel ◽  
Kirtenkumar Patel ◽  
Ashish Kumar ◽  
Smit Patel ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Acute Heart Failure ◽  
Right Heart Catheterization ◽  
Heart Catheterization ◽  
Right Heart ◽  
Reduced Ejection Fraction

Impact of New Grading System and New Hemodynamic Classification on Long-Term Outcome in Patients With Severe Tricuspid Regurgitation

2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Taku Omori ◽  
Goki Uno ◽  
Shunsuke Shimada ◽  
Florian Rader ◽  
Robert J. Siegel ◽  
...  
Keyword(s):  
Cardiac Index ◽  
Tricuspid Regurgitation ◽  
Cardiovascular Events ◽  
Right Heart Catheterization ◽  
Atrial Pressure ◽  
Right Atrial ◽  
Right Atrial Pressure ◽  
Heart Catheterization ◽  
Grading System ◽  
Right Heart

Background: A new grading of tricuspid regurgitation (TR) beyond severe has been proposed. However, few studies assessing the validity of such a new grading scheme of TR have been conducted. Therefore, we evaluated associations of TR grades beyond severe with patient outcome and hemodynamics. Methods: We retrospectively studied patients who underwent 2-dimensional echocardiography and were diagnosed with severe TR between January 2014 and December 2015. According to the vena contracta width of TR (VC), the patients were classified into 2 groups: VC under 14 mm (VC<14 mm) and VC 14 mm or greater (VC≥14 mm). Hemodynamic parameters were estimated by echocardiography and were obtained by right heart catheterization. Cardiovascular events were defined as cardiovascular death or admission for heart failure. Results: A total of 679 patients (mean 72±17 years, 56% women) were included. During follow-up (median, 158 days; range, 29–891), 210 patients experienced cardiovascular events. By multivariate analysis, VC≥14 mm and left ventricular ejection fraction were independent predictors of cardiovascular events (hazard ratio, 1.57 [1.06–2.33]; hazard ratio, 0.99 [0.98–0.99], respectively). Patients with VC≥14 mm had significantly lower cardiac index (median, 1.8 versus 2.1 L/min per m 2 , P =0.001) and a higher prevalence of right atrial pressure 15 mm Hg (74% versus 60%, P <0.001) on echocardiography. Also, right heart catheterization confirmed higher right atrial pressure in patients with VC≥14 mm than those with VC<14 mm (16±8 versus 12±6 mm Hg, P =0.004). The new subset classification developed by cardiac index and right atrial pressure both on echocardiography predicted cardiovascular events (Log-rank P <0.001). Conclusions: The relationship of VC≥14 mm to adverse outcome and poor hemodynamics showed the clinical relevance and need of a new grading system beyond severe. The new hemodynamic subset classification provides additional prognostic value for cardiovascular events in patients with severe TR.

Abstract 17060: Machine Learning and Video Recognition for Automated Detection of Fluid Status in Heart Failure Patients

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Pratik Doshi ◽  
John Tanaka ◽  
Jedrek Wosik ◽  
Natalia M Gil ◽  
Martin Bertran ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Point Of Care ◽  
Machine Learning Algorithms ◽  
Right Atrial ◽  
Heart Catheterization ◽  
Heart Failure Patients ◽  
Non Invasive ◽  
Fluid Status ◽  
Video Recognition

Introduction: There is a need for innovative solutions to better screen and diagnose the 7 million patients with chronic heart failure. A key component of assessing these patients is monitoring fluid status by evaluating for the presence and height of jugular venous distension (JVD). We hypothesize that video analysis of a patient’s neck using machine learning algorithms and image recognition can identify the amount of JVD. We propose the use of high fidelity video recordings taken using a mobile device camera to determine the presence or absence of JVD, which we will use to develop a point of care testing tool for early detection of acute exacerbation of heart failure. Methods: In this feasibility study, patients in the Duke cardiac catheterization lab undergoing right heart catheterization were enrolled. RGB and infrared videos were captured of the patient’s neck to detect JVD and correlated with right atrial pressure on the heart catheterization. We designed an adaptive filter based on biological priors that enhances spatially consistent frequency anomalies and detects jugular vein distention, with implementation done on Python. Results: We captured and analyzed footage for six patients using our model. Four of these six patients shared a similar strong signal outliner within the frequency band of 95bpm – 200bpm when using a conservative threshold, indicating the presence of JVD. We did not use statistical analysis given the small nature of our cohort, but in those we detected a positive JVD signal the RA mean was 20.25 mmHg and PCWP mean was 24.3 mmHg. Conclusions: We have demonstrated the ability to evaluate for JVD via infrared video and found a relationship with RHC values. Our project is innovative because it uses video recognition and allows for novel patient interactions using a non-invasive screening technique for heart failure. This tool can become a non-invasive standard to both screen for and help manage heart failure patients.

Abstract 17141: Pulmonary Artery Pulsatility Index is Associated With Greater Mortality Across a Broad Hospital-Based Cohort

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Emily K Zern ◽  
Paula Rambarat ◽  
Samantha Paniagua ◽  
Elizabeth Liu ◽  
Jenna McNeill ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Pulmonary Artery ◽  
Pulsatility Index ◽  
Right Heart Catheterization ◽  
Left Ventricular ◽  
Right Atrial ◽  
Heart Catheterization ◽  
Right Heart ◽  
Risk Of Death ◽  
Valvular Surgery

Introduction: The pulmonary artery pulsatility index (PAPi), calculated from the ratio of pulmonary artery pulse pressure to right atrial pressure, was initially described as a novel predictor of right ventricular failure after inferior myocardial infarction or left ventricular assist device implantation. Whether PAPi is associated with adverse outcomes in broader samples is unknown. Hypothesis: A lower PAPi is associated with mortality in a broad population referred for right heart catheterization. Methods: We examined consecutive patients undergoing right heart catheterization between 2005-2016 in a hospital-based cohort. The following exclusion criteria were applied: shock or cardiac arrest within 24 hours of catheterization, presence of mechanical circulatory support, prior cardiac transplant, prior valvular surgery, or those with missing key clinical covariates. Multivariable Cox models were utilized to examine the association between PAPi and mortality. Analyses were adjusted for age, sex, BMI, hypertension, diabetes, prior myocardial infarction, and prior heart failure. Results: We studied 8559 patients with mean age 63 years and 40% women. We found that patients in the lowest quartile of PAPi were younger, with greater proportion of men, and higher BMI, yet similar NT-proBNP compared with other quartiles ( Table 1 ). Over 12.5 years of follow-up, there were 2441 death events. Patients in the lowest PAPi quartile had a 31% greater risk of death compared with the highest quartile (multivariable adjusted HR 1.31, 95% CI 1.15-1.48, p<0.001), whereas no differences in survival were seen among individuals in quartile 2 or 3 (p>0.05 vs quartile 4 for both). Conclusions: Patients in the lowest PAPi quartile had a 31% increased risk of all-cause mortality in a broad population referred for right heart catheterization. These findings highlight a potential role for PAPi in identifying high-risk individuals across a spectrum of disease.

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