Lung ultrasound in acute and chronic heart failure: a clinical consensus statement of the European Association of Cardiovascular Imaging (EACVI)

Diagnostic value of lung ultrasound B-lines for evaluating left ventricular filling pressure

BACKGROUND

The assessment of left ventricular (LV) diastolic function based on the American Society of Echocardiography and the European Association of Cardiovascular Imaging (ASE/EACVI) guidelines requires measurement of several echocardiographic indices. However, these assessments often yield inconclusive results owing to the absence of measurable parameters. Multiple B-lines on lung ultrasound have been proposed as a method for evaluating pulmonary congestion. We aimed to evaluate the association between B-lines and LV diastolic function and to examine whether B-lines show potential as an alternative to conventional indices for assessing LV diastolic function.

METHODS

This prospective study included 172 patients with pre-heart failure (HF) or HF. We investigated (i) the relationship between B-lines and LV diastolic function using echocardiography, (ii) the diagnostic accuracy of B-lines compared to echocardiography indices for estimating LV filling pressures and (iii) the relationship between B-lines and risk of hospitalisation for HF.

RESULTS

Among patients for whom the ASE/EACVI guideline algorithm for LV diastolic dysfunction was available (n = 89), the number of B-lines typically increased with the severity of diastolic dysfunction grade. In patients who underwent left heart catheterisation (n = 20), the LV filling pressure was significantly correlated with B-lines (r = 0.690, P < 0.001). The diagnostic accuracy of B-lines for detecting high LV filling pressure was comparable to that of tricuspid regurgitation peak gradient (TRPG). When TRPG was replaced with B-lines to diagnose grade II or III diastolic dysfunction using the ASE/ESCVI algorithm, sensitivity remained comparable (0.80); however, specificity improved (0.80 vs. 0.50). In patients who underwent lung ultrasound while they were hemodynamically stable and were followed up for prognosis (median, 730 days; n = 75), 14 hospitalisations for HF were observed. Kaplan-Meier analysis revealed that the high B-line group had a significantly higher incidence of hospitalisation events for HF (P = 0.036, log-rank test).

CONCLUSION

B-lines have shown potential as an alternative to conventional indices for assessing LV diastolic dysfunction.

Echocardiographic assessment of patient hemodynamics in heart failure

Heart failure (HF) is a clinical syndrome which is due to cardiac structural and/or functional abnormalities that result in elevated intra-cardiac pressures and/or inadequate cardiac output. Hemodynamic assessment in HF allows the identification and characterization of cardiac dysfunction, systemic and/or pulmonary congestion and the eventual impairment of systemic perfusion which are fundamental to phenotype HF, risk stratify HF patients and to guide their treatment. Patient hemodynamics can be characterized invasively with right heart catheterization but also non-invasively with the use of echocardiography and other non-invasive ultrasound tools. The aim of the present review is to summarize the main echocardiographic and ultrasound parameters to characterize the hemodynamics of patients with HF and help clinicians to make the most of these non-invasive tools to guide HF patient management.

The clinical classification of patients with acute heart failure at emergency department and its relation with management and outcome: a cross sectional study from Syria

INTRODUCTION

To compare the clinical characteristics and outcomes of patients with acute heart failure (AHF) according to the 2016 European Society of Cardiology (ESC) guidelines taking into account isolated right HF (RHF) with left HF (LHF) phenotypes. Volume status was assessed by the clinical manifestations and lung ultrasound (LUS). The secondary aim was to study the role of echocardiography in congestion based on LUS and their relations with outcomes.

METHODS

This study included AHF patients, who referred to the emergency department (ED) at AL-Mouwasat and AL-Assad University Hospitals in Syria between May and August 2024. The same cardiologist reviewed medical reports, signs/ symptoms of decompensation, echocardiographic assessment, diagnosis, and treatment therapies.

RESULTS

Of 100 patients, 10 patients (10%) had isolated RHF and 90 patients (90%) had LHF, including warm-wet (n = 65, 65%), followed by cold-wet (n = 13, 13%), warm-dry (n = 10, 10%), and cold-dry (n = 2, 2%). Most discharged patients without admission were Warm-dry, meanwhile most of patients with cold-wet (76.9%) were admitted to intensive care unit (ICU). The longest in-hospital stays were in cold-wet (11.9 days) followed by isolated RHF (7.5 days). While in-hospital mortality was mainly in cold-wet (38.5%) followed by isolated RHF (20%). Diuretics dose was highest in cold-wet followed by isolated RHF, while hydration was predominantly in cold-wet. Using vasopressors and inotropes were predominantly in cold-wet. Systolic blood pressure (SBP), hemoglobin (Hb), sodium (Na), proximal right ventricular outflow tract (RVOT1), left ventricular end-diastolic internal diameter (LVIDd), Tricuspid annular systolic plane excursion (TAPSE), and systolic pulmonary atrial pressure (SPAP) correlated with hospital stays, while only SBP and Cr correlated with in-hospital mortality. The cut-off values of E/e' ratio, isovolumic relaxation time (IVRT), and deceleration time (DT) were (12.5, 55ms, and 131.5 ms; respectively) and could predict congestion (guided by LUS) with sensitivities of (96%, 74%, and 62%; respectively) and specificities of (53%, 92%, and 84%; respectively).

CONCLUSION

Classifying AHF patients into these five groups, based on clinical examination supporting by echocardiography and LUS evaluation can give better assessment of the AHF phenotypes and gives more details for management. The bedside diagnostic assessment by LUS and echocardiography is an easy tool and seems to be of great benefit in detecting congestion that enhances the treatment protocols.

Lung Ultrasound in Critical Care: A Narrative Review

Lung ultrasound (LUS) has become a crucial part of the investigative tools available in the management of critically ill patients, both within the intensive care unit setting and in prehospital medicine. The increase in its application, in part driven by the COVID-19 pandemic, along with the easy access and use of mobile and handheld devices, allows for immediate access to information, reducing the need for other radiological investigations. LUS allows for the rapid and accurate diagnosis and grading of respiratory pathology, optimisation of ventilation, assessment of weaning, and monitoring of the efficacy of surfactant therapies. This, however, must occur within the framework of accreditation to ensure patient safety and prevent misinterpretation and misdiagnosis. This narrative review aims to outline the current uses of LUS within the context of published protocols, associated pathologies, LUS scoring systems, and their applications, whilst exploring more novel uses.

Pulmonary Congestion on Lung Ultrasound in Ambulatory Patients With Heart Failure With Preserved Ejection Fraction

BACKGROUND

Early detection of pulmonary congestion among ambulatory patients with heart failure with preserved ejection fraction (HFpEF) is critical to optimize decongestive therapy before overt decompensation, yet traditional tools are insensitive. We sought to examine the prevalence of B-lines, an ultrasound measure of pulmonary congestion, and their clinical and imaging correlates in patients with HFpEF.

METHODS AND RESULTS

In a prospective, multisite observational study, using a pocket ultrasound device, 8-zone lung ultrasound examination was performed in outpatients with HFpEF, left ventricular ejection fraction (LVEF) of ≥45% and New York Heart Association functional class II through IV. B-lines and cardiac structure and function from echocardiograms were quantified off-line in core laboratories, blinded to clinical findings. Among 415 participants (mean age 74 years, 52% women, 51% obese, median N-terminal pro-B-type natriuretic peptide [NT-proBNP] 744 pg/mL) B-lines were detectable in 78% of patients ranging from 0 to 36 (median 3, interquartile range 1-6). There was a linear association between B-line count and log-transformed NT-proBNP (P < .001). Among patients in the highest tertile of B-lines, 76% had no crackles on auscultation, and 50% did not have elevated NT-proBNP levels. A higher B-line count was associated with larger sizes of cardiac chambers, greater left ventricular mass, higher filling pressures (E/e'), tricuspid regurgitant velocity, and inferior vena cava size, and worse right ventricular systolic function (P for trend < .05 for all), but not left ventricular ejection fraction.

CONCLUSIONS

Among ambulatory patients with HFpEF, lung ultrasound-detected B-lines were common, associated with NT-proBNP levels and clinically important echocardiographic features, and identified pulmonary congestion that was not always evident by auscultation.

Performance of a point-of-care ultrasound platform for artificial intelligence-enabled assessment of pulmonary B-lines

BACKGROUND

The incorporation of artificial intelligence (AI) into point-of-care ultrasound (POCUS) platforms has rapidly increased. The number of B-lines present on lung ultrasound (LUS) serve as a useful tool for the assessment of pulmonary congestion. Interpretation, however, requires experience and therefore AI automation has been pursued. This study aimed to test the agreement between the AI software embedded in a major vendor POCUS system and visual expert assessment.

METHODS

This single-center prospective study included 55 patients hospitalized for various respiratory symptoms, predominantly acutely decompensated heart failure. A 12-zone protocol was used. Two experts in LUS independently categorized B-lines into 0, 1-2, 3-4, and ≥ 5. The intraclass correlation coefficient (ICC) was used to determine agreement.

RESULTS

A total of 672 LUS zones were obtained, with 584 (87%) eligible for analysis. Compared with expert reviewers, the AI significantly overcounted number of B-lines per patient (23.5 vs. 2.8, p < 0.001). A greater proportion of zones with > 5 B-lines was found by the AI than by the reviewers (38% vs. 4%, p < 0.001). The ICC between the AI and reviewers was 0.28 for the total sum of B-lines and 0.37 for the zone-by-zone method. The interreviewer agreement was excellent, with ICCs of 0.92 and 0.91, respectively.

CONCLUSION

This study demonstrated excellent interrater reliability of B-line counts from experts but poor agreement with the AI software embedded in a major vendor system, primarily due to overcounting. Our findings indicate that further development is needed to increase the accuracy of AI tools in LUS.

Position statement on the use of point-of-care ultrasound in heart failure: recommendations from the Heart Failure and Atrial Fibrillation, and Clinical Ultrasound Working Groups of the Spanish Society of Internal Medicine (SEMI)

This document provides a comprehensive analysis of the use of point-of-care ultrasound in heart failure (HF), offering detailed recommendations on echocardiography, lung ultrasound, and venous ultrasound. These advanced imaging techniques allow for an accurate, detailed, and non-invasive evaluation of heart failure, facilitating rapid and effective clinical decision-making. Echocardiography enables a rapid assessment of cardiac function at the point of care, enhancing traditional physical examination and being essential for the management of heart failure (HF). Lung ultrasound provides a detailed view of the pulmonary status, crucial for diagnosing pulmonary congestion without using ionizing radiation, ideal for continuous monitoring. Venous ultrasound evaluates systemic congestion by measuring the inferior vena cava and other parameters, aiding in the estimation of right atrial pressure and monitoring pressure and volume overload, improving patient understanding and prognosis. Together, the use of these ultrasound modalities not only complements but enriches the traditional physical examination, establishing themselves as indispensable tools in the comprehensive and effective management of patients with heart failure. By incorporating these techniques into clinical practice, healthcare professionals can achieve better evaluation, diagnosis, and treatment, resulting in more personalized management of these patients.

Artificial Intelligence-Guided Lung Ultrasound by Nonexperts

Importance

Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.

Objective

To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs).

Design, Setting, and Participants

In this multicenter diagnostic validation study conducted between July 2023 and December 2023, participants aged 21 years or older with shortness of breath recruited from 4 clinical sites underwent 2 ultrasound examinations: 1 examination by a THCP operator using Lung Guidance AI and the other by a trained LUS expert without AI. The THCPs (including medical assistants, respiratory therapists, and nurses) underwent standardized AI training for LUS acquisition before participation.

Interventions

Lung Guidance AI software uses deep learning algorithms guiding LUS image acquisition and B-line annotation. Using an 8-zone LUS protocol, the AI software automatically captures images of diagnostic quality.

Main Outcomes and Measures

The primary end point was the proportion of THCP-acquired examinations of diagnostic quality according to a panel of 5 masked expert LUS readers, who provided remote review and ground truth validation.

Results

The intention-to-treat analysis included 176 participants (81 female participants [46.0%]; mean [SD] age, 63 [14] years; mean [SD] body mass index, 31 [8]). Overall, 98.3% (95% CI, 95.1%-99.4%) of THCP-acquired studies were of diagnostic quality, with no statistically significant difference in quality compared to LUS expert-acquired studies (difference, 1.7%; 95% CI, -1.6% to 5.0%).

Conclusions and Relevance

In this multicenter validation study, THCPs with AI assistance achieved LUS images meeting diagnostic standards compared with LUS experts without AI. This technology could extend access to LUS to underserved areas lacking expert personnel.

Trial Registration

ClinicalTrials.gov Identifier: NCT05992324.

Ultrasound imaging of congestion in heart failure: a narrative review

Background and Objective

Congestion is a key determinant in the evolution of patients with heart failure (HF), leading to higher rates of emergency visits, hospital admissions and even mortality. Both clinical and subclinical congestion have been associated with a worse prognosis, hence the importance of its correct detection, characterization and treatment. Multiparametric assessment with ultrasound imaging, lung ultrasound (LUS) and venous Doppler analysis, has emerged as a very informative and accessible diagnostic tool in HF patients throughout their evolution. This review aims to provide a practical approach for the implementation of these techniques as well as a comprehensive summary of their prognostic and therapeutic applications in specific clinical settings.

Methods

Relevant literature from 1997 to 2024 on congestion evaluation and management based on ultrasonographic findings was retrieved through PubMed research. Only English publications were included.

Key Content and Findings

Ultrasound imaging for congestion detection and management is increasingly convening attention in HF scientific literature. Observational and randomized studies exhibit consistent and reproducible results where greater degrees of congestion have been strongly associated with worse clinical short- and long-term outcomes both in acute and chronic HF. On the other hand, ultrasound imaging helps adjusting diuretic therapy with more frequent and robust evidence regarding LUS than venous Doppler analysis.

Conclusions

Despite exponential growing evidence supporting the use of ultrasound imaging in HF, LUS and venous Doppler analysis are not yet routine. Forthcoming evidence may help to consolidate these techniques in the management of HF patients.

Imaging of Congestion in Cardio-renal Syndrome

PURPOSE OF REVIEW

Both cardiac and renal dysfunction can lead to water overload - commonly referred to as "congestion". Identification of congestion is difficult, especially when clinical signs are subtle.

RECENT FINDINGS

As an extension of an echocardiographic examination, ultrasound can be used to identify intravascular (inferior vena cava diameter dilation, internal jugular vein distension or discontinuous venous renal flow) and tissue congestion (pulmonary B-lines). Combining assessment of cardiac structure, cardiac and renal function and measures of congestion informs the management of heart and kidney disease, which should improve patient outcomes. In this manuscript, we describe imaging techniques to identify and quantify congestion, clarify its origin, and potentially guide the management of patients with cardio-renal syndrome.

Utility of lung ultrasound to identify patients at risk of rehospitalization for acute decompensated heart failure

INTRODUCTION

Residual congestion at hospital discharge predicts adverse outcomes in acute decompensated heart failure (ADHF). Lung ultrasound (LUS) is a reliable tool for assessing pulmonary congestion. This study aims to evaluate a simplified 4-zone LUS method for identifying heart failure patients at risk after discharge.

METHODS

This prospective study included adults hospitalized for ADHF without treatable secondary causes. We employed a 4-zone LUS method to quantify B-lines. The primary endpoint was a composite of mortality or rehospitalization within 180 days. We used univariate and multivariate Cox models to evaluate the prognostic value of B-lines. A receiver operating characteristic (ROC) curve identified the optimal B-lines threshold.

RESULTS

We included 155 patients (median age: 81 years [IQR 75-85]; 52.9% male). After the follow-up period, 53 (34.2%) patients met the primary endpoint. The ROC curve for the number of B-lines at discharge showed an AUC of 0.8, with 7 B-lines identified as the optimal cutoff (sensitivity: 70%, specificity: 82%). In univariate analysis, the global B-line count at discharge (HR: 1.33, 95% CI 1.22-1.45) was significantly associated with the primary endpoint. Using a cutoff of ≥7 B-lines, the association was stronger (HR: 6.92, 95% CI 3.80-12.60). After multivariable adjustment, ≥7 B-lines at discharge remained significant (HR: 4.41, 95% CI 1.98-9.81).

CONCLUSION

In our population, the detection of 7 or more B-lines at discharge serves as a reliable marker for identifying patients at risk of mortality or rehospitalization within 180 days.

Lung ultrasound in neonates and children with cardiac diseases with focus on post cardiac surgical period: time for systematic use-an expert opinion report by the Association for European Paediatric and Congenital Cardiology Imaging Working Group

Background

Despite lung ultrasound (LUS) gaining consensus for the diagnosis of pulmonary complication in paediatric acute care setting and in adult cardiology, its use in paediatric cardiology remains limited.

Aim

The aim of the present investigation is to provide an expert opinion on the applications of LUS in neonates and children with congenital heart disease, with a special focus on the post-surgical period.

Methods and Results

A complete guide for identification of landmarks and major signs (A and B lines) and their characteristics is provided. Diagnostic criteria, tips, and tricks for the diagnosis, and differential diagnosis of common pulmonary diseases such as pleural effusion, pneumonia, and consolidation are provided. To perform diagnosis of pneumothorax is illustrated. Applications of LUS for evaluation of hemidiaphragm motility and for a comprehensive assessment of retrosternal area are also discussed. The use of LUS for guidance of minor, common interventional procedures such as lung recruitment and drainage insertion is also described. The report also highlights current gaps of knowledge, including the difficulty for quantitative estimation of pleural effusion and atelectasis, and future prospective.

Conclusion

There is sufficient evidence to support a systematic use of LUS for the diagnosis and follow-up of neonates and children with cardiac disease especially those undergoing paediatric cardiac surgery. LUS is an easy, accurate, fast, cheap, and radiation-free tool that should become a routine in daily practice.

Impact of ultrasound settings on lung vertical artefacts: an observational study in mechanically ventilated patients

Introduction

The number of vertical artefacts (VAs) in lung ultrasound (LUS) impacts patients' clinical management. This study aimed to demonstrate the influence of ultrasound settings on the number of VAs in patients under invasive mechanical ventilation (IMV).

Methods

Patients under IMV were recruited for LUS, including three breathing cycles with a motionless curvilinear probe on the thoracic region with the most VAs. Three experts in LUS were asked about the number of VAs at random, and blinded after altering the settings for a total of 20 test recordings per patient. The correlation between expert classifications was tested after grading the classifications. The number of VAs across clinicians was compared between baseline recordings and test condition recordings to determine statistical differences.

Results

29 patients were enrolled with a median Sequential Organ Failure Assessment score of 6 (interquartile range (IQR) 3). IMV was mainly due to stroke (n=10) and pneumonia (n=6). LUS was made between days 1 and 6 (IQR). Baseline recordings showed a median of 2±2 VAs in inspiration and a median of 1±2 in expiration from a total of 3636 expert classifications, with a strong agreement within patients. A probe frequency of 8 MHz, artefact filtering, speckle reduction and frame average reduced the median VA number by one. A power of -20 dB and dynamic range of 32 dB abolished the VAs. A gain above 90% increased the median number of VAs by one.

Conclusion

In this in vivo study, the LUS settings influenced the VA number in IMV patients, after controlling for physiological and operator confounders.

The Role of Lung Ultrasound Scan in Different Heart Failure Scenarios: Current Applications and Lacks of Evidences

Pulmonary congestion is a critical factor influencing the clinical presentation, therapeutic decisions, and outcomes of heart failure (HF) patients. Lung ultrasound (LUS) offers a simple, rapid, and accurate method for assessing pulmonary congestion, surpassing the diagnostic capabilities of traditional clinical evaluation and chest radiography. Due to the wide availability of ultrasound equipment, congestion can be evaluated in multiple settings, ranging from emergency departments to intensive care units, including outpatient settings. A combined cardiopulmonary imaging approach, integrating LUS with other imaging modalities, enhances congestion assessment in both acute and chronic HF. This comprehensive approach provides valuable insights for HF management and risk stratification. However, optimizing the utilization of LUS remains a challenge, as standardized imaging protocols and B-line thresholds may vary across different clinical scenarios and HF phenotypes. Despite the widespread use of LUS in various HF settings, physician adoption and interpretation of LUS findings remain suboptimal. This review aims to provide a practical and clinical overview of LUS in HF, guiding clinicians towards the correct application and interpretation of this valuable tool in diverse HF contexts.

Semi-supervised Ensemble Learning for Automatic Interpretation of Lung Ultrasound Videos

Point-of-care ultrasound (POCUS) stands as a safe, portable, and cost-effective imaging modality for swift bedside patient examinations. Specifically, lung ultrasonography (LUS) has proven useful in evaluating both acute and chronic pulmonary conditions. Despite its clinical value, automatic LUS interpretation remains relatively unexplored, particularly in multi-label contexts. This work proposes a novel deep learning (DL) framework tailored for interpreting lung POCUS videos, whose outputs are the finding(s) present in these videos (such as A-lines, B-lines, or consolidations). The pipeline, based on a residual (2+1)D architecture, initiates with a pre-processing routine for video masking and standardisation, and employs a semi-supervised approach to harness available unlabeled data. Additionally, we introduce an ensemble modeling strategy that aggregates outputs from models trained to predict distinct label sets, thereby leveraging the hierarchical nature of LUS findings. The proposed framework and its building blocks were evaluated through extensive experiments with both multi-class and multi-label models, highlighting its versatility. In a held-out test set, the categorical proposal, suited for expedite triage, achieved an average F1-score of 92.4%, while the multi-label proposal, helpful for patient management and referral, achieved an average F1-score of 70.5% across five relevant LUS findings. Overall, the semi-supervised methodology contributed significantly to improved performance, while the proposed hierarchy-aware ensemble provided moderate additional gains.

Echocardiography in the Assessment of Heart Failure Patients

Doppler echocardiography is the corner-stone of non-invasive investigation of patients with a clinical diagnosis of heart failure. It provides an accurate and quantitative assessment of cardiac structure and function. Furthermore, spectral Doppler measurement is an invaluable technique for estimating intracardiac pressures with their crucial value in the optimum management of heart failure patients, irrespective of ejection fraction. Speckle tracking echocardiography stretches the unique application of echocardiography to analyze the myocardial deformation function which has proved very accurate in detecting ischemia, dyssynchrony, subclinical dysfunction and also in estimating pulmonary capillary wedge pressures. The role of longitudinal myocardial left atrial deformation dynamics has recently emerged as a valuable tool for assessing left ventricular diastolic dysfunction in patients with cardiac diseases regardless of their ejection fraction. Finally, the extent of myocardial deformation has been shown to correlate with the severity of myocardial fibrosis, a common finding in patients with heart failure.

The assessment, interpretation and implementation of lung ultrasound examinations in Heart Failure: Current evidence and gaps in knowledge

Lung ultrasound (LUS) is a simple, fast and non-invasive tool for pulmonary congestion assessment with higher accuracy for the detection of acute heart failure (HF) compared to clinical examination and chest radiography. The integrated assessment with other ultrasound and echocardiographic parameters can lead to a better systemic and pulmonary congestion characterization. Additionally, the combination of echocardiographic and pulmonary features can identify patients at higher risk for adverse outcomes, potentially facilitating both acute and chronic HF management and prognostic stratification. However, the optimal utilization of LUS needs to be better defined both in terms of imaging method and B-line thresholds which may differ based on the clinical scenario and, potentially, the HF phenotype. Despite the extensive potential role of LUS in a wide range of HF scenarios, clinicians may be unaware of the correct technique and exam interpretation. Specifically, the interpretation of LUS findings is influenced by several factors, such as imaging protocol, type of ultrasound transducer, patient positioning, and presence of concomitant pulmonary diseases. The aim of this review is to provide a practical overview of LUS in patients with known or suspected HF with the goal of providing a practical guide for clinicians and nurses in various clinical settings.

Accuracy of preoperative lung ultrasound score for the prediction of major adverse cardiac events in elderly patients undergoing HIP surgery under spinal anesthesia: The LUSHIP multicenter observational prospective study

BACKGROUND AND OBJECTIVE

We hypothesize that lung ultrasound scores (LUS) can help stratify the cardiac risk of elderly patients undergoing orthopedic surgery for hip fracture, adding value to the Revised Cardiac Risk Index (RCRI), the American Society of Anesthesiologists Physical Status (ASA-PS) and the National Surgical Quality Improvement Program Myocardial infarction and Cardiac arrest (NSQIP-MICA).

METHODS

Prospective, observational multicenter study of 11 Italian hospitals on patients aged >65 years with hip fractures needing urgent surgery. Subjects with major adverse cardiovascular events (MACE) in the previous 6 months or with ongoing acute heart failure were excluded. Trained anesthesiologists obtained preoperative LUS scores during preoperative evaluation. ROC curve analysis and comparison were used to evaluate test accuracy.

RESULTS

A total of 877 patients were enrolled in the study period. 108 MACE events occurred in 98 patients, with an overall incidence of 11.2%. LUS score was higher in complicated than non-complicated patients, 11.6 ± 6.64 vs. 4.97 ± 4.90 (p < 0.001). Preoperative LUS score ≥8 showed both better AUC (0.78) and accuracy (0.76) in predicting MACE than the RCRI scores (p < 0.001), MICA scores (p = 0.001) and ASA classes (p < 0.001). LUS sensitivity was 0.71, specificity was 0.76, negative predictive value was 0.95. LUS score ≥8 showed an OR for MACE of 5.81[95% CI 3.55-9.69] at multivariate analysis. 91 patients (10.4%) experienced postoperative pneumonia showing a preoperative LUS score higher in the non-pneumonia group, p < 0.001.

CONCLUSIONS

The preoperative LUS score, with its high negative predictive value, could improve patients' risk stratification when used alone or add further value to the RCRI score.

REGISTRATION

Registered at clinicaltrials.gov as NCT04074876.

A practical approach to the diagnosis and initial management of acute right ventricular failure during pregnancy using point-of-care ultrasound

Acute right ventricular failure is a critical condition in pregnancy that can lead to severe maternal and fetal complications. This expert review discusses the instrumental role of point-of-care ultrasound in diagnosing and managing ARVF in pregnant patients, highlighting its benefits for immediate clinical decision-making in obstetric emergencies. The unique physiological changes during pregnancy, such as increased blood volume and cardiac output, can exacerbate underlying or latent cardiac issues, making pregnant patients particularly susceptible to acute right ventricular failure. Common causes during pregnancy include pulmonary embolism, peripartum cardiomyopathy, and congenital heart diseases, each presenting distinct challenges in diagnosis and management. The real-time capability of point-of-care ultrasound allows for the immediate assessment of right ventricular size and function, evaluation of fluid status via the inferior vena cava, and identification of potential pulmonary embolism, offering a non-invasive, rapid, and dynamic diagnostic tool right at the bedside. The expert review details specific point-of-care ultrasound techniques adapted for pregnant patients, including the parasternal long and short axis and apical 4-chamber view, essential for evaluating right heart function and guiding acute management strategies. These include fluid management, adjustment of pharmacological treatment, and immediate interventions to support cardiac function and reduce ventricular overload. Point-of-care ultrasound enhances clinical outcomes by allowing clinicians to make informed decisions quickly, reducing the time to intervention, and tailoring management strategies to individual patient needs. However, despite its apparent advantages, the adoption of point-of-care ultrasound requires specialized training and familiarity with obstetric-specific protocols. This review advocates for the integration of point-of-care ultrasound into standard obstetric care protocols, emphasizing the need for clear guidelines and structured protocols that equip healthcare providers with the skills necessary to utilize this technology effectively. Future research should aim to refine these protocols and expand the evidence base to solidify the role of point-of-care ultrasound in improving maternal and fetal outcomes in acute right ventricular failure.

Lung Ultrasound in the Acute Phase of ST-Segment-Elevation Acute Myocardial Infarction: 1-Year Prognosis and Improvement in Risk Prediction

BACKGROUND

Lung ultrasound (LUS) has emerged as a useful tool in the acute phase of patients admitted for ST-segment-elevation myocardial infarction. However, its long-term significance remains uncertain, and risk scores do not include LUS findings as a predictor. This study aims to assess the 1-year prognostic value of LUS and its ability to enhance existing risk scores.

METHODS AND RESULTS

This is a multicenter prospective cohort study involving 373 patients with ST-segment-elevation myocardial infarction. LUS was performed during the first 24 hours after angiography. LUS results were assessed both as a categorical (wet/dry lung) and continuous variable (LUS score). The primary end point comprised the following major adverse cardiovascular events: all-cause mortality or hospitalization for heart failure, acute coronary syndrome, or stroke within 1 year. We also evaluated whether LUS could enhance the predictive value of the GRACE (Global Registry of Acute Coronary Events) score. Major adverse cardiovascular events occurred in 51 (13.7%) patients over a median follow-up of 368 days. After multivariate analysis, the LUS score was an independent predictor (hazard ratio [HR], 1.06 [95% CI, 1.01-1.10]; P=0.009] for each additional B-line), whereas the categorical classification was an independent predictor in patients with ST-segment-elevation myocardial infarction Killip I (HR, 3.12 [95% CI, 1.34-7.31]; P=0.009). Incorporating LUS into GRACE resulted in a net reclassification index of 31.6% and a significant increase in the area under the curve; GRACE alone scored 0.705 compared with GRACE+LUS 0.791 (P=0.002).

CONCLUSIONS

Detecting B-lines on LUS at the acute phase predicts major adverse cardiovascular events at 1 year in patients with ST-segment-elevation myocardial infarction and enhances the predictive value of the GRACE score. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04526535.

A machine learning-based lung ultrasound algorithm for the diagnosis of acute heart failure

Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, several imaging protocols currently exist and how to best use LUS remains undefined. We aimed at developing a lung ultrasound-based model for AHF diagnosis using machine learning. Random forest and decision trees were generated using the LUS data (via an 8-zone scanning protocol) in patients with acute dyspnea admitted to the Emergency Department (PLUME study, N = 117) and subsequently validated in an external dataset (80 controls from the REMI study, 50 cases from the Nancy AHF cohort). Using the random forest model, total B-line sum (i.e., in both hemithoraces) was the most significant variable for identifying AHF, followed by the difference in B-line sum between the superior and inferior lung areas. The decision tree algorithm had a good diagnostic accuracy [area under the curve (AUC) = 0.865] and identified three risk groups (i.e., low 24%, high 70%, and very high-risk 96%) for AHF. The very high-risk group was defined by the presence of 14 or more B-lines in both hemithoraces while the high-risk group was described as having either B-lines mostly localized in superior points or in the right hemithorax. Accuracy in the validation cohort was excellent (AUC = 0.906). Importantly, adding the algorithm on top of a validated clinical score and classical definition of positive LUS scanning for AHF resulted in a significant improvement in diagnostic accuracy (continuous net reclassification improvement = 1.21, P < 0.001). Our simple lung ultrasound-based machine learning algorithm features an excellent performance and may constitute a validated strategy to diagnose AHF.

Inflammatory and transudative B-line patterns on lung ultrasound: a brief communication

Lung ultrasonic B-lines have high accuracy in diagnosing extravascular lung water (ELW) but have not been systematically subcategorized to differentiate the varied etiologies of ELW. This brief communication describes subcategories of B-lines into "inflammatory" and "transudative" patterns, based on their location, pleural morphology and associated subpleural pathologies. This subcategorization was derived using information from trainees undergoing lung ultrasound training in the Learning Ultrasound in Critical Care program, pathophysiological principles and their corresponding ultrasound correlates. This subcategorization helped trainees differentiate inflammatory pathologies of ELW (e.g. pneumonia, acute respiratory distress syndrome) from transudative (congestive) pathologies (e.g. fluid overload, cardiac failure).

Pulmonary congestion assessed by lung ultrasound in patients with severe aortic stenosis undergoing transcatheter aortic valve implantation: Prevalence and prognostic implications

AIMS

Lung ultrasound (LUS) is a sensitive tool to assess pulmonary congestion (PC). Few data are available on LUS-PC evaluation in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve implantation (TAVI). The aim of this study was to assess the prevalence and prognostic impact of LUS-PC in patients with severe AS before and after TAVI.

METHODS AND RESULTS

We designed a single-centre prospective study in patients referred for TAVI for severe AS (ClinicalTrials.gov identification number: NCT05024942). All patients underwent echocardiography and LUS (according to a simplified 8-zone scanning protocol) the day before and within 72 h after the procedure. The primary endpoint was the composite of all-cause mortality, hospitalization for heart failure and urgent medical visits for worsening dyspnoea at 12-month follow-up. A total of 127 patients were enrolled (mean age 81.1 ± 5.8 years; 54.3% female). Pre-TAVI LUS-PC was documented in 65 patients (51%). After TAVI, the prevalence of LUS-PC significantly decreased as compared to pre-TAVI evaluation, being documented in only 28 patients (22% vs. 51%, p < 0.001) with a median B-lines score of 4 (interquartile range [IQR] 0-11) versus 11 (IQR 6-19) pre-TAVI (p < 0.001). During a median follow-up of 12 (12-17) months, 25 patients (19.6%) met the composite endpoint. On multivariable Cox regression analysis, pre-TAVI LUS-PC was independently associated with cardiovascular events (hazard ratio 2.764, 95% confidence interval 1.114-6.857; p = 0.028).

CONCLUSIONS

Lung ultrasonography reveals a high prevalence of PC in patients with severe AS undergoing TAVI, which is significantly reduced by the procedure. Pre-TAVI PC, measured by LUS, is an independent predictor of 1-year clinical outcome.

The Diagnostic Role of Lung Ultrasound and Contrast-Enhanced Ultrasound in Pulmonary Embolism

The diagnosis of pulmonary embolism (PE) relies essentially on a probabilistic approach that requires careful clinical assessments, targeted laboratory tests, and the use of appropriate imaging tools. Nowadays, the diagnostic gold standard is computed tomographic pulmonary angiography. Lung ultrasound (LUS) can play a role in the diagnosis of PE mainly by allowing the visualization of peripheral lung infarctions. Hypoechoic, pleural-based parenchymal consolidation is the most typical and common finding of pulmonary infarction. More than 85% of infarct lesions are wedge-shaped, extending to the pleural surface and are localized to where the patient complains of pleuritic chest pain. Contrast-enhanced ultrasound can be performed in addition to basic ultrasound examination to ascertain nonvascularization of the consolidation, thus confirming that the lesion is an infarct. The aim of this narrative review is to summarize the latest evidence on the application of LUS to the diagnosis of PE, focusing purely on thoracic/lung signs.

Integration of Diagnostic Lung Ultrasound Into Clinical Practice by Hospitalists in an Academic Medical Center: A Retrospective Chart Review

Background Point-of-care lung ultrasound (LUS) is a guideline-recommended imaging modality that has been shown to be more accurate than chest radiography for multiple causes of dyspnea. This study was conducted to understand the impact of LUS on real-world clinical decision-making among hospitalists. Methods  A retrospective chart review was conducted of patients who received a LUS while hospitalized at a quaternary care academic medical center between July 2020 and June 2022. Data was extracted from the electronic health record (EHR) into a standardized REDCap form. Cases were defined as patients who had received a LUS that (1) had images archived and accessible to viewing through the EHR and (2) had an imaging report documented in the EHR. Results Of the 820 LUSs reviewed, 297 (36.2%) were performed to evaluate for appropriateness of thoracentesis, 205 (25%) for diagnosing or monitoring of pneumonia related to COVID-19, 169 (20.6%) for volume status assessment, 136 (16.6%) for worsening respiratory status, 114 (13.9%) for monitoring pleural effusions, 64 (7.8%) for diagnosing or monitoring of pneumonia not related to COVID-19, and 12 (1.5%) for monitoring of diuresis. Documentation was sufficient to determine clinical decision-making in 730 (89%) of LUSs reviewed, 739 (90.1%) were considered to be diagnostically useful, and 327 (39.9%) changed management. Conclusions These findings suggest LUS was diagnostically useful and routinely changed management in hospitalist practice. Further, documentation in the EHR was sufficient to allow for the evaluation of real-world clinical decision-making using LUS, which is an important gap in both the education and health services research literature.

Prognostic implication of lung ultrasound in heart failure: a pooled analysis of international cohorts

AIMS

Lung ultrasound (LUS) is often used to assess congestion in heart failure (HF). In this study, we assessed the prognostic role of LUS in patients with HF at admission and hospital discharge, and in an outpatient setting, and explored whether clinical factors [age, sex, left ventricular ejection fraction (LVEF), and atrial fibrillation] impact the prognostic value of LUS findings. Further, we assessed the incremental prognostic value of LUS on top of the following two clinical risk scores: (i) the atrial fibrillation, haemoglobin, elderly, abnormal renal parameters, diabetes mellitus (AHEAD) and (ii) the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) clinical risk scores.

METHODS AND RESULTS

We pooled data on patients hospitalized for HF or followed up in outpatient clinics from international cohorts. We enrolled 1947 patients at admission (n = 578), discharge (n = 389), and in outpatient clinics (n = 980). The total LUS B-line count was calculated for the eight-zone scanning protocol. The primary outcome was a composite of rehospitalization for HF and all-cause death. Compared with those in the lower tertiles of B lines, patients in the highest tertiles were older, more likely to have signs of HF and had higher N-terminal pro b-type natriuretic peptide (NT-proBNP) levels. A higher number of B lines was associated with increased risk of primary outcome at discharge [Tertile 3 vs. Tertile 1: adjusted hazard ratio (HR): 5.74 (3.26-10.12), P < 0.0001] and in outpatients [Tertile 3 vs. Tertile 1: adjusted HR: 2.66 (1.08-6.54), P = 0.033]. Age and LVEF did not influence the prognostic capacity of LUS in different clinical settings. Adding B-line count to the MAGGIC and AHEAD scores improved net reclassification significantly in all three clinical settings.

CONCLUSION

A higher number of B lines in patients with HF was associated with an increased risk of morbidity and mortality, regardless of the clinical setting.

Lung ultrasound among Expert operator'S: ScOring and iNter-rater reliability analysis (LESSON study) a secondary COWS study analysis from ITALUS group

BACKGROUND

Lung ultrasonography (LUS) is a non-invasive imaging method used to diagnose and monitor conditions such as pulmonary edema, pneumonia, and pneumothorax. It is precious where other imaging techniques like CT scan or chest X-rays are of limited access, especially in low- and middle-income countries with reduced resources. Furthermore, LUS reduces radiation exposure and its related blood cancer adverse events, which is particularly relevant in children and young subjects. The score obtained with LUS allows semi-quantification of regional loss of aeration, and it can provide a valuable and reliable assessment of the severity of most respiratory diseases. However, inter-observer reliability of the score has never been systematically assessed. This study aims to assess experienced LUS operators' agreement on a sample of video clips showing predefined findings.

METHODS

Twenty-five anonymized video clips comprehensively depicting the different values of LUS score were shown to renowned LUS experts blinded to patients' clinical data and the study's aims using an online form. Clips were acquired from five different ultrasound machines. Fleiss-Cohen weighted kappa was used to evaluate experts' agreement.

RESULTS

Over a period of 3 months, 20 experienced operators completed the assessment. Most worked in the ICU (10), ED (6), HDU (2), cardiology ward (1), or obstetric/gynecology department (1). The proportional LUS score mean was 15.3 (SD 1.6). Inter-rater agreement varied: 6 clips had full agreement, 3 had 19 out of 20 raters agreeing, and 3 had 18 agreeing, while the remaining 13 had 17 or fewer people agreeing on the assigned score. Scores 0 and score 3 were more reproducible than scores 1 and 2. Fleiss' Kappa for overall answers was 0.87 (95% CI 0.815-0.931, p < 0.001).

CONCLUSIONS

The inter-rater agreement between experienced LUS operators is very high, although not perfect. The strong agreement and the small variance enable us to say that a 20% tolerance around a measured value of a LUS score is a reliable estimate of the patient's true LUS score, resulting in reduced variability in score interpretation and greater confidence in its clinical use.

Poor in-hospital congestion improvement in acute heart failure patients classified according to left ventricular ejection fraction: prognostic implications

AIMS

Residual congestion in acute heart failure (AHF) is associated with poor prognosis. However, there is a lack of data on the prognostic value of changes in a combined assessment of in-hospital congestion. The present study sought to assess the association between in-hospital congestion changes and subsequent prognosis according to left ventricular ejection fraction (LVEF) classification.

METHODS AND RESULTS

Patients (N = 244, 80.3 ± 7.6 years, 50.8% male) admitted for acute HF in two European tertiary care centres underwent clinical assessment (congestion score included dyspnoea at rest, rales, third heart sound, jugular venous distention, peripheral oedema, and hepatomegaly; simplified congestion score included rales and peripheral oedema), echocardiography, lung ultrasound, and natriuretic peptides (NP) measurement at admission and discharge. The primary outcome was a composite of all-cause mortality and/or HF re-hospitalization. In the 244 considered patients (95 HF with reduced EF, 57 HF with mildly reduced EF, and 92 HF with preserved EF), patients with limited improvement in clinical congestion score (hazard ratio 2.33, 95% CI 1.51-3.61, P = 0.0001), NP levels (2.29, 95% CI 1.55-3.38, P < 0.0001), and the number of B-lines (6.44, 95% CI 4.19-9.89, P < 0.001) had a significantly higher risk of outcome compared with patients experiencing more sizeable decongestion. The same pattern of association was observed when adjusting for confounding factors. A limited improvement in clinical congestion score and in the number of B-lines was related to poor prognosis for all LVEF categories.

CONCLUSION

In AHF, the degree of congestion reduction assessed over the in-hospital stay period can stratify the subsequent event risk. Limited reduction in both clinical congestion and B-lines number are related to poor prognosis, irrespective of HF subtype.

Non-invasive imaging in acute decompensated heart failure with preserved ejection fraction

Non-invasive imaging plays an increasingly important role in emergency medicine, given the trend towards smaller, portable ultrasound devices, the integration of ultrasound imaging across diverse medical disciplines, and the growing evidence supporting its clinical benefits for the patient. Heart failure with preserved ejection fraction (HFpEF) provides a compelling illustration of the impactful role that imaging plays in distinguishing diverse clinical presentations of heart failure with numerous associated comorbidities, including pulmonary, renal, or hepatic diseases. While a preserved left ventricular ejection fraction might misguide the clinician away from diagnosing cardiac disease, there are several clues provided by cardiac, vascular, and lung ultrasonography, as well as other imaging modalities, to rapidly identify (decompensated) HFpEF. Congestion remains the primary reason why patients with heart failure (irrespective of ejection fraction) seek emergency care. Furthermore, comprehensive phenotyping is becoming increasingly important, considering the development of targeted treatments for conditions exhibiting HFpEF physiology, such as cardiac amyloidosis. Timely recognition in such cases has lasting implications for long-term outcomes.

Killip scale reclassification according to lung ultrasound: Killip pLUS

AIMS

The Killip scale remains a fundamental tool for prognostic assessment in ST-segment elevation myocardial infarction (STEMI) due to its simplicity and predictive value. Lung ultrasound (LUS) has emerged as a valuable adjunct for diagnosing and predicting outcomes in heart failure (HF) and STEMI patients, even those with subclinical congestion. We created a new classification (Killip pLUS), which reclassifies Killip I and II patients into an intermediate category (Killip I pLUS) based on LUS results. This category included Killip I patients and ≥1 positive zone (≥3 B-lines) and Killip II with 0 positive zones. We aimed to evaluate this new classification by comparing it with the Killip scale and a previous LUS-based reclassification scale (LUCK scale).

METHODS AND RESULTS

Lung ultrasound was performed within 24 h of admission in a multicentre cohort of 373 patients admitted for STEMI. In-hospital mortality and major adverse cardiovascular events within one year after admission, comprising mortality or readmission for HF, acute coronary syndrome, or stroke, were analysed. When predicting in-hospital mortality, the global comparison of these three classifications was statistically significant: Killip pLUS area under the curve (AUC) 0.90 (95% CI 0.85-0.95) vs. Killip AUC 0.85 (95% CI 0.73-0.96) vs. LUCK 0.83 (95% CI 0.70-0.95), P = 0.024. To predict events during follow-up, the comparison between scales was also significant: Killip pLUS 0.77 (95% CI 0.71-0.85) vs. Killip 0.72 (95% CI 0.65-0.79) vs. LUCK 0.73 (95% CI 0.66-0.81), P = 0.033.

CONCLUSION

The Killip pLUS scale provides enhanced risk stratification compared to the Killip and LUCK scales while preserving simplicity.

Echocardiogram by apical-subcostal protocol in prone position during invasive mechanical ventilation in cardiovascular intensive care unit

AIMS

To evaluate the feasibility of a transthoracic echocardiogram using an apical-subcostal protocol in invasive mechanical ventilation (IMV) and prone position.

METHODS

Prospective study of adults who required a prone position during IMV. A pillow was placed only under the left hemithorax in the prone position to elevate and ease the apical and subcostal windows. A critical care cardiologist (prone group) acquired and evaluated the images using the apical-subcostal protocol. Besides, we used ambulatory echocardiograms performed as a comparative group (supine group).

RESULTS

86 patients were included, 43 in the prone and 43 in the supine. In the prone group, the indication to perform an echocardiogram was hemodynamic monitoring. All patients were ventilated with protective parameters, and the mean end-expiratory pressure was 10.6 cmH2O. The protocol was performed entirely in 42 of 43 patients in the prone group because one patient did not have any acoustic window. In the 43 patients in the prone group analyzed and compared to the supine group, global biventricular function was assessed in 97.7% (p = 1.0), severe heart valve disease in 88.4% (p = 0.055), ruled out of the presence of pulmonary hypertension in 76.7% (p = 0.80), pericardial effusion in 93% (p = 0.12), and volume status by inferior vena cava in 93% (p = 0.48). Comparing prone versus supine position, a statistical difference was found when evaluating the left ventricle apical 2-chamber view (65.1 versus 100%, p < 0.01) and its segmental function (53.4 versus 100%, p < 0.01).

CONCLUSION

The echocardiogram using an apical-subcostal protocol is feasible in patients in the IMV and prone position.

Clinical profiling of patients admitted with acute heart failure: a comprehensive survival analysis

Background

In heart failure (HF), not all episodes of decompensation are alike. The study aimed to characterize the clinical groups of decompensation and perform a survival analysis.

Methods

A retrospective study was conducted on patients consecutively admitted for HF from 2018 to 2023. Patients who died during admission were excluded (final number 1,668). Four clinical types of HF were defined: low cardiac output (n:83), pulmonary congestion (n:1,044), mixed congestion (n:353), and systemic congestion (n:188).

Results

The low output group showed a higher prevalence of reduced left ventricular ejection fraction (93%) and increased biventricular diameters (p < 0.01). The systemic congestion group exhibited a greater presence of tricuspid regurgitation with dilatation and right ventricular dysfunction (p:0.0001), worse renal function, and higher uric acid and CA125 levels (p:0.0001). Diuretics were more commonly used in the mixed and, especially, systemic congestion groups (p:0.0001). The probability of overall survival at 5 years was 49%, with higher survival in pulmonary congestion and lower in systemic congestion (p:0.002). Differences were also found in survival at 1 month and 1 year (p:0.0001).

Conclusions

Mortality in acute HF is high. Four phenotypic profiles of decompensation differ clinically, with distinct characteristics and varying prognosis in the short, medium, and long term.

Role of NT-proBNP and lung ultrasound in diagnosing and classifying heart failure in a hospitalized oldest-old population: a cross-sectional study

AIM

Diagnosing and classifying heart failure (HF) in the oldest-old patients has technical and interpretation issues, especially in the acute setting. We assessed the usefulness of both N-terminal pro-brain natriuretic peptide (NT-proBNP) and lung ultrasound (LUS) for confirming HF diagnosis and predicting, among hospitalized HF patients, those with reduced ejection fraction (HFrEF).

METHODS

We performed a cross-sectional study on 148 consecutive patients aged ≥ 80 years admitted to our Internal Medicine and Geriatrics ward with at least one symptom/sign compatible with HF and NT-proBNP ≥ 125 pg/mL. We measured serum NT-proBNP levels and performed LUS and transthoracic echocardiography (TTE) on admission before diuretic therapy. We divided our cohort into three subgroups according to the left ventricular ejection fraction (LVEF): reduced (LVEF ≤ 40%), mildly-reduced (LVEF = 41-49%) and preserved (LVEF ≥ 50%).

RESULTS

The mean age was 88±5 years. Male prevalence was 42%. Patients with HFrEF were 19%. Clinical features and laboratory parameters did not differ between the three subgroups, except for higher NT-proBNP in HFrEF patients, which also had a higher number of total B-lines and intercostal spaces of pleural effusion at LUS. Overall, NT-proBNP showed an inverse correlation with LVEF (r = -0.22, p = 0.007) and a direct correlation with age, total pulmonary B-lines, and intercostal spaces of pleural effusion. According to the ROCs, NT-proBNP levels, pulmonary B-lines and pleural effusion extension were poorly predictive for HFrEF. The best-performing cut-offs were 9531 pg/mL for NT-proBNP (SP 0.70, SE 0.50), 13 for total B-lines (SP 0.69, SE 0.85) and one intercostal space for pleural effusion (SP 0.55, SE 0.89). Patients with admission NT-proBNP ≥ 9531 pg/mL had a 2-fold higher risk for HFrEF (OR 2.5, 95% CI 1.3-4.9), while we did not find any association for total B-lines ≥ 13 or pleural effusion ≥ 1 intercostal space with HFrEF. A significant association with HFrEF emerged for the combination of NT-proBNP ≥ 9531 pg/mL, total B-lines ≥ 13 and intercostal spaces of pleural effusion ≥ 1 (adjusted OR 4.3, 95% CI 1.5-12.9).

CONCLUSIONS

Although NT-proBNP and LUS help diagnose HF, their accuracy in discriminating HFrEF from non-HFrEF was poor in our real-life clinical study on oldest-old hospitalized patients, making the use of TTE still necessary to distinguish HF phenotypes in this peculiar setting. These data require confirmation in more extensive and longer prospective studies.

Causes, outcomes and diagnosis of acute breathlessness hospital admissions in Malawi: protocol for a multicentre prospective cohort study

Background

Hospital admission due to breathlessness carries a significant burden to patients and healthcare systems, particularly impacting people in low-income countries. Prompt appropriate treatment is vital to improve outcomes, but this relies on accurate diagnostic tests which are of limited availability in resource-constrained settings. We will provide an accurate description of acute breathlessness presentations in a multicentre prospective cohort study in Malawi, a low resource setting in Southern Africa, and explore approaches to strengthen diagnostic capacity.

Objectives

Primary objective: Delineate between causes of breathlessness among adults admitted to hospital in Malawi and report disease prevalence. Secondary objectives : Determine patient outcomes, including mortality and hospital readmission 90 days after admission; determine the diagnostic accuracy of biomarkers to differentiate between heart failure and respiratory infections (such as pneumonia) including brain natriuretic peptides, procalcitonin and C-reactive protein.

Methods

This is a prospective longitudinal cohort study of adults (≥18 years) admitted to hospital with breathlessness across two hospitals: 1) Queen Elizabeth Central Hospital, Blantyre, Malawi; 2) Chiradzulu District Hospital, Chiradzulu, Malawi. Patients will be consecutively recruited within 24 hours of emergency presentation and followed-up until 90 days from hospital admission. We will conduct enhanced diagnostic tests with robust quality assurance and quality control to determine estimates of disease pathology. Diagnostic case definitions were selected following a systematic literature search.

Discussion

This study will provide detailed epidemiological description of adult hospital admissions due to breathlessness in low-income settings, which is currently poorly understood. We will delineate between causes using established case definitions and conduct nested diagnostic evaluation. The results have the potential to facilitate development of interventions targeted to strengthen diagnostic capacity, enable prompt and appropriate treatment, and ultimately improve both patient care and outcomes.

Diaphragmatic ultrasound evaluation in acute heart failure: clinical and functional associations

Heart failure patients often experience respiratory symptoms due to diaphragmatic involvement, but the diaphragmatic motion in heart failure remains understudied. This research aimed to investigate the correlation between ultrasonographically assessed diaphragmatic motion and thickness with cardiac performance indexes in an emergency setting. Seventy-two acutely decompensated heart failure patients and 100 non-heart failure individuals were enrolled. Diaphragmatic motion and thickness were assessed via ultrasound. Cardiac and respiratory parameters were recorded, and regression analysis was performed. Heart failure patients exhibited reduced diaphragmatic motion at total lung capacity compared to controls, and an inverse association was found between motion and heart failure severity (NYHA stage). Diaphragmatic thickness was also higher in heart failure patients at tidal volume and total lung capacity. Notably, diaphragmatic motion inversely correlated with systolic pulmonary artery pressure. The study highlights diaphragmatic dysfunction in acutely decompensated heart failure, with reduced motion and increased thickness. These changes were associated with cardio-respiratory parameters, specifically systolic pulmonary artery pressure. Monitoring diaphragmatic motion via ultrasound may aid in evaluating heart failure severity and prognosis in emergency settings. Additionally, interventions targeting diaphragmatic function could improve heart failure management. Further research is warranted to enhance heart failure management and patient outcomes.

Computed tomography or chest X-ray to assess pulmonary congestion in dyspnoeic patients with acute heart failure

AIMS

While computed tomography (CT) is widely acknowledged as superior to chest radiographs for acute diagnostics, its efficacy in diagnosing acute heart failure (AHF) remains unexplored. This prospective study included consecutive patients with dyspnoea undergoing simultaneous low-dose chest CT (LDCT) and chest radiographs. Here, we aimed to determine if LDCT is superior to chest radiographs to confirm pulmonary congestion in dyspnoeic patients with suspected AHF.

METHODS AND RESULTS

An observational, prospective study, including dyspnoeic patients from the emergency department. All patients underwent concurrent clinical examination, laboratory tests, echocardiogram, chest radiographs, and LDCT. The primary efficacy measure to compare the two radiological methods was conditional odds ratio (cOR). The primary outcome was adjudicated AHF, ascertained by comprehensive expert consensus. The secondary outcome, echo-bnp AHF, was an objective AHF diagnosis based on echocardiographic cardiac dysfunction, elevated cardiac filling pressure, loop diuretic administration, and NT-pro brain natriuretic peptide > 300 pg/mL. Of 228 dyspnoeic patients, 64 patients (28%) had adjudicated AHF, and 79 patients (35%) had echo-bnp AHF. Patients with AHF were older (78 years vs. 73 years), had lower left ventricular ejection fraction (36% vs. 55%), had higher elevated left ventricular filling pressures (98% vs. 18%), and had higher NT-pro brain natriuretic peptide levels (3628 pg/mL vs. 470 pg/mL). The odds to diagnose adjudicated AHF and echo-bnp AHF were up to four times greater using LDCT (cOR: 3.89 [2.15, 7.06] and cOR: 2.52 [1.45, 4.38], respectively). For each radiologic sign of pulmonary congestion, the LDCT provided superior or equivalent results as the chest radiographs, and the interrater agreement was higher using LDCT (kappa 0.88 [95% CI: 0.81, 0.95] vs. 0.73 [95% CI: 0.63, 0.82]). As first-line imaging modality, LDCT will find one additional adjudicated AHF in 12.5 patients and prevent one false-positive in 20 patients. Similar results were demonstrated for echo-bnp AHF.

CONCLUSIONS

In consecutive dyspnoeic patients admitted to the emergency department, LDCT is significantly better than chest radiographs in detecting pulmonary congestion.

Novel Strategies in Diagnosing Heart Failure with Preserved Ejection Fraction: A Comprehensive Literature Review

Heart failure (HF) with preserved ejection fraction (HFpEF) is a prevalent global condition affecting approximately 50% of the HF population. With the aging of the worldwide population, its incidence and prevalence are expected to rise even further. Unfortunately, until recently, no effective medications were available to reduce the high mortality and hospitalization rates associated with HFpEF, making it a significant unmet need in cardiovascular medicine. Although HFpEF is commonly defined as HF with normal ejection fraction and elevated left ventricular filling pressure, performing invasive hemodynamic assessments on every individual suspected of having HFpEF is neither feasible nor practical. Consequently, several clinical criteria and diagnostic tools have been proposed to aid in diagnosing HFpEF. Overall, these criteria and tools are designed to assist healthcare professionals in identifying and evaluating patients who may have HFpEF based on a combination of signs, symptoms, biomarkers, and non-invasive imaging findings. By employing these non-invasive diagnostic approaches, clinicians can make informed decisions regarding the best pharmacological and rehabilitation strategies for individuals with suspected HFpEF. This literature review aims to provide an overview of all currently available methods for diagnosing and monitoring this disabling condition.

Experience with the Kosmos ultrasonographic tool in the approach and treatment of ambulatory patients of a heart failure clinic: a single-center cross-sectional study

BACKGROUND

In Mexico, the epidemiology of heart failure is still not well understood. However, it is known that the primary cause of hospital admissions in patients with heart failure is pulmonary and systemic congestion.

OBJECTIVE

To estimate congestion status and assess cardiac function using portable ultrasound in patients with heart failure.

METHOD

A cross-sectional observational study was conducted. Patients who attended the Heart Failure Clinic at the Ignacio Chávez National Cardiology Institute in Mexico City between May and August 2022 were selected. They underwent ultrasonographic evaluation using a portable device to assess pulmonary and systemic congestion, as well as cardiac function and structure.

RESULTS

One-hundred patients diagnosed with heart failure were prospectively included during the study period; 76% were male, with an average age of 59 years (range: 50-68 years). The recorded LVEF median was 34% (IQR: 27-43.5%). When evaluating pulmonary congestion, 78% of the patients showed a pattern A and 22% a pattern B. Following the VExUS protocol, 92% of the patients were at grade 0, 2% at grade 1, and 6% at grade 2.

CONCLUSIONS

The use of the portable ultrasound facilitated the quantitative characterization of the echocardiographic features of the studied population. This device could provide better clinical characterization which, in turn, might allow for optimized drug prescription for heart failure and dose adjustments of diuretics based on echocardiographic congestion findings.