The quality, safety, feasibility, and interpretive accuracy of echocardiographic and lung ultrasound assessment of COVID-19 patients using a hand-held ultrasound

Performance of handheld ultrasound devices in diagnosis of pulmonary hypertension and right heart dysfunction in ICU patients

AIM

The use of handheld ultrasonography devices (HHUD) has increased recently but there are limited data about their performance in the evaluation of right heart dysfunction (RHD) and pulmonary hypertension (PHT). The aim of the study is to compare the performance of a HHUD with a conventional ultrasound device (CUD) in assessing PHT and RHD.

METHODS

This single-center prospective study was performed in a seven-bed teaching hospital intensive care unit (ICU). PHT and RHD criteria were compared by HHUD and CUD. Additional PHT criteria and right ventricle (RV) systolic and diastolic dysfunction criteria were also measured.

RESULTS

Forty-six patients were included in the study. There was no significant difference between the imaging rates and mean values of the parameters measured by both devices. When the positivity rates for additional PHT parameters and RHD criteria were compared, there were no significant differences between the devices. In Bland-Altman's analysis, there was good agreement and there was no bias between the measurements of the two devices but left ventricular end-systolic eccentricity index (LVSEI), right atrium area (RAA), and pulmonary artery diameter (PAD). Ninety percent of the patients had PHT probability, of whom 43% had a low, 37% had intermediate and 10% had a high probability of PHT. Ninety-two percent of the patients had RHD and there was no significant difference between the devices in the diagnosis of RHD (p = .212). When RV systolic and diastolic dysfunction evaluations of the devices were compared according to the British Society of Echocardiography (BSE) criteria there was no significant difference between the devices' measurements in the evaluation of systolic and diastolic function.

CONCLUSION

The imaging and measurement capabilities of the HHUDs for PHT and RHD parameters were similar to CUDs, and considering the inconsistent parameters, the HHUD can be useful in diagnosing these problems.

Artificial Intelligence-Powered Left Ventricular Ejection Fraction Analysis Using the LVivoEF Tool for COVID-19 Patients

We sought to prospectively investigate the accuracy of an artificial intelligence (AI)-based tool for left ventricular ejection fraction (LVEF) assessment using a hand-held ultrasound device (HUD) in COVID-19 patients and to examine whether reduced LVEF predicts the composite endpoint of in-hospital death, advanced ventilatory support, shock, myocardial injury, and acute decompensated heart failure. COVID-19 patients were evaluated with a real-time LVEF assessment using an HUD equipped with an AI-based tool vs. assessment by a blinded fellowship-trained echocardiographer. Among 42 patients, those with LVEF < 50% were older with more comorbidities and unfavorable exam characteristics. An excellent correlation was demonstrated between the AI and the echocardiographer LVEF assessment (0.774, p < 0.001). Substantial agreement was demonstrated between the two assessments (kappa = 0.797, p < 0.001). The sensitivity, specificity, PPV, and NPV of the HUD for this threshold were 72.7% 100%, 100%, and 91.2%, respectively. AI-based LVEF < 50% was associated with worse composite endpoints; unadjusted OR = 11.11 (95% CI 2.25-54.94), p = 0.003; adjusted OR = 6.40 (95% CI 1.07-38.09, p = 0.041). An AI-based algorithm incorporated into an HUD can be utilized reliably as a decision support tool for automatic real-time LVEF assessment among COVID-19 patients and may identify patients at risk for unfavorable outcomes. Future larger cohorts should verify the association with outcomes.

Empowering Medical Students: Harnessing Artificial Intelligence for Precision Point-of-Care Echocardiography Assessment of Left Ventricular Ejection Fraction

Introduction

Point-of-care ultrasound (POCUS) use is now universal among nonexperts. Artificial intelligence (AI) is currently employed by nonexperts in various imaging modalities to assist in diagnosis and decision making.

Aim

To evaluate the diagnostic accuracy of POCUS, operated by medical students with the assistance of an AI-based tool for assessing the left ventricular ejection fraction (LVEF) of patients admitted to a cardiology department.

Methods

Eight students underwent a 6-hour didactic and hands-on training session. Participants used a hand-held ultrasound device (HUD) equipped with an AI-based tool for the automatic evaluation of LVEF. The clips were assessed for LVEF by three methods: visually by the students, by students + the AI-based tool, and by the cardiologists. All LVEF measurements were compared to formal echocardiography completed within 24 hours and were evaluated for LVEF using the Simpson method and eyeballing assessment by expert echocardiographers.

Results

The study included 88 patients (aged 58.3 ± 16.3 years). The AI-based tool measurement was unsuccessful in 6 cases. Comparing LVEF reported by students' visual evaluation and students + AI vs. cardiologists revealed a correlation of 0.51 and 0.83, respectively. Comparing these three evaluation methods with the echocardiographers revealed a moderate/substantial agreement for the students + AI and cardiologists but only a fair agreement for the students' visual evaluation.

Conclusion

Medical students' utilization of an AI-based tool with a HUD for LVEF assessment achieved a level of accuracy similar to that of cardiologists. Furthermore, the use of AI by the students achieved moderate to substantial inter-rater reliability with expert echocardiographers' evaluation.

The measurement of the left ventricle ejection fraction by a bedside FoCUS examination

The use of point-of-care ultrasound is rapidly increasing in medical practice. This study aims to evaluate the left ventricle systolic function by the bedside focus cardiac ultrasound (FoCUS). We consecutively enrolled n.59 patients of the Emergency Medicine Unit of S. Andrea Hospital. Every patient received a bedside FoCUS examination to estimate the left ventricle (LV) ejection fraction (EF); the LV EF measurements were compared with those obtained by standard echocardiography (as gold standard). The LV EF obtained by the bedside FoCUS examination and the standard echocardiography, resulted, respectively: 50.2 ± 15.1% (by the Quinones equation), 39.5 + 12.0% (by the Lvivo app) and 53.7 + 11.1% (by the standard echocardiography). The correlations between the bedside FoCUS EF measurements versus standard echocardiography were statistically significant: r =  + 0.694 p < 1.9 × 10-6 (Quinones equation, Bland-Altman analysis mean = - 2.3%) and r =  + 0.571 p < 0.01 (Lvivo app, Bland-Altman analysis mean = - 13.3%). In conclusion, the present study showed a high accuracy of the bedside FoCUS EF evaluations, which may support the diagnosis of the heart failure in an emergency setting without delaying. The EF measurements by the operational method are more precise than those obtained by the unselected images of the software application.

The Role of Hand-Held Cardiac Ultrasound in Patients with COVID-19

The role of point-of-care ultrasound (POCUS) in patient management has been established in recent years as an important tool. It is increasingly used by multiple medical disciplines in numerous clinical settings, for different applications and diagnostic purposes and in the guidance of procedures. The introduction of small-sized and inexpensive hand-held ultrasound devices (HUDs) has addressed some of the POCUS-related challenges and has thus extended POCUS' applicability. HUD utilization is even more relevant in the COVID-19 setting given the operators' infection risk, excessive workload concerns and general equipment contamination. This review focuses on the available technology, usefulness, feasibility and clinical applications of HUD for echocardiogram assessment in patients with COVID-19.

A bedside ultrasound protocol to the measurement of the systemic vascular resistances: Preliminary results in the patients with sepsis

BACKGROUND

The use of the ultrasound (US) bedside examination is increasing for the detailed evaluation of the hemodynamic parameters, allowing the physicians to set the appropriate therapeutic strategies with greater precision.

OBJECTIVE

The aim of this study is to evaluate the hemodynamic parameters (the cardiac output or CO, the central venous pressure or CVP and the systemic vascular resistance or SVR) in the patients with sepsis, by using a bedside US approach.

METHODS

We consecutively enrolled n.82 patients of S.Andrea Hospital (n.47 with sepsis and n.35 without sepsis), examining the hemodynamic parameters by a bedside US evaluation.

RESULTS

The incidence of sepsis was more than 50% of cases. The patients with sepsis presented higher comorbidity and polypharmacy (p < 0.01, p < 0.001), with increased creatinine (p < 0.001) and consequent esteemed glomerular filtration rate (p < 0.01), C-reactive protein (p < 0.01), SOFA (Sepsis-related Organ Failure Assessment) score (p < 1.58×10-7) and reduced SVR (p < 0.05). The SOFA score was inversely related to the SVR (p < 0.05).

CONCLUSIONS

To our best knowledge, this is the first study with a bedside US protocol to measure SVR, beyond the abdominal and cardiac qualitative evaluation.

The Point-of-Care Ultrasound (POCUS) by the Handheld Ultrasound Devices (HUDs) in the COVID-19 Scenario: a Review of the Literature

The use of portable ultrasound (US) devices is increasing, due to its accessibility, versatility, non-invasiveness, and its significant support in the patient management, extending the traditional physical examination through the POCUS (point-of-care ultrasound). The pocket-size or handheld ultrasound devices (HUDs) can easily perform focused exams, not aiming to substitute for the high-end US systems (gold standard), since the HUDs usually have more limited functions. The HUDs are promising tools for the diagnosis, prognosis, and monitoring of the COVID-19 infection and its related disorders. In conclusion, the routine use of HUDs may ameliorate the management of COVID-19 pandemic, according to the guidelines for the POCUS approach and the procedures for the protection of the patients and the professionals.