Smartphone-based automatic assessment of left ventricular ejection fraction with a silicon chip ultrasound probe: a prospective comparison study in critically ill patients

Bacariza, Jacobo; Gonzalez, Filipe; Varudo, Rita; Leote, João; Martins, Cristina; Fernandes, Antero; Michard, Frédèric

doi:10.1016/j.bja.2023.02.032

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…64 Much literature already exists regarding systolic function and fluid status assessment using machine learning algorithms applying automatic measurements of LVEF and left ventricular outflow tract velocity time integral. [65][66][67] Considering all the pitfalls described for the assessment of DD in critically ill patients, we consider a more holistic approach to the dias-tolic function in the ICU more valuable. Experienced clinicians should integrate the hemodynamic information (based not only on echocardiographic variables) with other data from like lung ultrasound (LUS), the venous excess ultrasound (VExUS), and the ventriculo-arterial coupling, 68,69 to better stratify critically ill patients according to their pathophysiologic profile and prognostic impact.…”

Section: Future Diagnostic Approaches To Lvdd and La Pressure In Icumentioning

confidence: 99%

Diastology in the intensive care unit: Challenges for the assessment and future directions

Gonzalez,

Santonocito,

Maybauer

et al. 2024

Echocardiography

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Myocardial dysfunction is common in patients admitted to the intensive care unit (ICU). Septic disease frequently results in cardiac dysfunction, and sepsis represents the most common cause of admission and death in the ICU. The association between left ventricular (LV) systolic dysfunction and mortality is not clear for critically ill patients. Conversely, LV diastolic dysfunction (DD) seems increasingly recognized as a factor associated with poor outcomes, not only in sepsis but also more generally in critically ill patients. Despite recent attempts to simplify the diagnosis and grading of DD, this remains relatively complex, with the need to use several echocardiographic parameters. Furthermore, the current guidelines have several intrinsic limitations when applied to the ICU setting. In this manuscript, we discuss the challenges in DD classification when applied to critically ill patients, the importance of left atrial pressure estimates for the management of patients in ICU, and whether the study of cardiac dysfunction spectrum during critical illness may benefit from the integration of left ventricular and left atrial strain data to improve diagnostic accuracy and implications for the treatment and prognosis.

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Section: Future Diagnostic Approaches To Lvdd and La Pressure In Icumentioning

confidence: 99%

Diastology in the intensive care unit: Challenges for the assessment and future directions

Gonzalez,

Santonocito,

Maybauer

et al. 2024

Echocardiography

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“…The last two decades have seen the emergence of numerous mobile phone applications [9,10]. Some applications can now measure vital signs, provide advanced hemodynamic variables, such as cardiac index and/or pulse pressure variation [11][12][13][14], or even measure cardiac conditions, such as ejection fraction [14]. The use of a smartphone application to measure BP on a daily basis has the potential to greatly improve the management of arterial hypertension.…”

Section: Introductionmentioning

confidence: 99%

Smartphone-Based versus Non-Invasive Automatic Oscillometric Brachial Cuff Blood Pressure Measurements: A Prospective Method Comparison Volunteer Study

Delmotte,

Desebbe,

Alexander

et al. 2023

JPM

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Introduction: Mobile health diagnostics have demonstrated effectiveness in detecting and managing chronic diseases. This method comparison study aims to assess the accuracy and precision of the previously evaluated OptiBP™ technology over a four-week study period. This device uses optical signals recorded by placing a patient’s fingertip on a smartphone’s camera to estimate blood pressure (BP). Methods: In adult participants without cardiac arrhythmias and minimal interarm blood pressure difference (systolic arterial pressure (SAP) < 15 mmHg or diastolic arterial pressure (DAP) < 10 mmHg), three pairs of 30 s BP measurements with the OptiBP™ (test method) were simultaneously compared using three pairs of measurements with the non-invasive oscillometric brachial cuff (reference method) on the opposite arm over a period of four consecutive weeks at a rate of two measurements per week (one in the morning and one in the afternoon). The agreement of BP values between the two technologies was analyzed using Bland–Altman and error grid analyses. The performance of the smartphone application was investigated using the International Organization for Standardization (ISO) definitions, which require the bias ± standard deviation (SD) between two technologies to be lower than 5 ± 8 mmHg. Results: Among the 65 eligible volunteers, 53 participants had adequate OptiBP™ BP values. In 12 patients, no OptiBP™ BP could be measured due to inadequate signals. Only nine participants had known chronic arterial hypertension and 76% of those patients were treated. The mean bias ± SD between both technologies was −1.4 mmHg ± 10.1 mmHg for systolic arterial pressure (SAP), 0.2 mmHg ± 6.5 mmHg for diastolic arterial pressure (DAP) and −0.5 mmHg ± 6.9 mmHg for mean arterial pressure (MAP). Error grid analyses indicated that 100% of the pairs of BP measurements were located in zones A (no risk) and B (low risk). Conclusions: In a cohort of volunteers, we observed an acceptable agreement between BP values obtained with the OptiBPTM and those obtained with the reference method over a four-week period. The OptiBPTM fulfills the ISO standards for MAP and DAP (but not SAP). The error grid analyses showed that 100% measurements were located in risk zones A and B. Despite the need for some technological improvements, this application may become an important tool to measure BP in the future.

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Automated and reference methods for the calculation of left ventricular outflow tract velocity time integral or ejection fraction by non-cardiologists: a systematic review on the agreement of the two methods

Gonzalez,

Zawadka,

Varudo

et al. 2024

J Clin Monit Comput

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Smartphone-based automatic assessment of left ventricular ejection fraction with a silicon chip ultrasound probe: a prospective comparison study in critically ill patients

Cited by 3 publications

References 10 publications

Diastology in the intensive care unit: Challenges for the assessment and future directions

Diastology in the intensive care unit: Challenges for the assessment and future directions

Smartphone-Based versus Non-Invasive Automatic Oscillometric Brachial Cuff Blood Pressure Measurements: A Prospective Method Comparison Volunteer Study

Automated and reference methods for the calculation of left ventricular outflow tract velocity time integral or ejection fraction by non-cardiologists: a systematic review on the agreement of the two methods

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