Bedside lung ultrasonography by emergency department residents as an aid for identifying heart failure in patients with acute dyspnea after a 2-h training course

Mohamed Amine Msolli, Adel Sekma, Maryem Ben Marzouk, Wael Chaabane, Khaoula Bel Haj Ali, Lotfi Boukadida, Nasri Bzeouich, Imen Gannoun, Imen Trabelssi, Kamel Laaouiti, Mohamed Habib Grissa, Kaouthar Beltaief, Zohra Dridi, Asma Belguith, Mehdi Methamem, Wahid Bouida, Riadh Boukef, Hamdi Boubaker, Semir Nouira, GREAT Network, Mohamed Amine Msolli, Adel Sekma, Maryem Ben Marzouk, Wael Chaabane, Khaoula Bel Haj Ali, Lotfi Boukadida, Nasri Bzeouich, Imen Gannoun, Imen Trabelssi, Kamel Laaouiti, Mohamed Habib Grissa, Kaouthar Beltaief, Zohra Dridi, Asma Belguith, Mehdi Methamem, Wahid Bouida, Riadh Boukef, Hamdi Boubaker, Semir Nouira, GREAT Network

Abstract

Background: Ultrasonographic B-lines have recently emerged as a bedside imaging tool for the differential diagnosis of acute dyspnea in the Emergency Department (ED). However, despite its simplicity, LUS has not fully penetrated emergency department. This study aimed to assess the accuracy and reproducibility of ultrasonographic B-lines performed by emergency medicine (EM) residents for the diagnosis of congestive heart failure (CHF) in patients admitted to ED for acute dyspnea.

Patients and methods: This is a cross-sectional prospective study conducted between January 2016 and October 2017 including patients aged over 18 years admitted to ED for acute dyspnea. At admission, two consecutive bedside LUS study were performed by a pair of EM residents who received a 2-h course for recognition of sonographic B-lines to determine independently B-lines score and B-profile pattern. All participating sonographers were blinded to patients' clinical data. B-lines score ≥ 15 or a B-profile pattern was considered as suggestive of CHF. The final leading diagnosis was assessed by two expert sonographers, who were blinded to the residents' interpretations, based on clinical findings, chest X-ray, brain natriuretic peptide, cardiac and lung ultrasound testing. Accuracy and agreement of B-lines score and B-profile pattern were calculated.

Results: We included 700 patients with a mean age of 68 ± 12.6 years and a sex ratio (M/F) of 1.43. The diagnosis of CHF was recorded in 371 patients (53%). The diagnostic performance of B-lines score at a cut-off 15 and B-profile pattern was, respectively, 88% and 82.5% for sensitivity, 75% and 84% for specificity, 80% and 85% for positive predictive value, 84% and 81% for negative predictive value. The area under receiver operating characteristic curve was 0.86 [0.83-0.89] and 0.83 [0.80-0.86], respectively, for B-lines score and B-profile pattern. There was an excellent agreement between residents for the diagnosis of CHF using both scores (kappa = 0.81 and 0.85, respectively, for ordinal scale B-lines score and B-profile pattern).

Conclusion: Lung ultrasound B-lines assessment has a good accuracy and an excellent reproducibility in the diagnosis of CHF in the hand of EM residents following a short training program. Trial registration Name of the registry: clinicaltrials.gov; Trial registration number: NCT03717779; Date of registration: October 24, 2018 'Retrospectively registered'; URL of trial registry record: clinicaltrials.gov.

Keywords: Accuracy; B-lines; Congestive heart failure; Diagnosis; Lung ultrasonography; Reproducibility.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
The four chest ultrasound areas per side. Areas 1 and 2 denote the upper anterior and lower anterior chest areas, respectively. Areas 3 and 4 denote the upper lateral and basal lateral chest areas, respectively. PSL parasternal line, AAL anterior axillary line, PAL posterior axillary line, ICS intercostal space
Fig. 2
Fig. 2
B-lines represented by vertical hyperechoic images starting from the pleural line and extending to the whole ultrasound field (discontinuous arrows)
Fig. 3
Fig. 3
Summary of patients’ selection
Fig. 4
Fig. 4
Distribution of B-profile pattern and ultrasound lung comets (ULC) score between the heart failure (HF) and non-HF groups. *p < 0.001 between HF and non-HF groups for B-profile pattern; **p value < 0.001 between HF and non-HF groups for ULC score
Fig. 5
Fig. 5
Receiver operating characteristic (ROC) curve for ultrasound lung comets (ULC) score and B-profile pattern
Fig. 6
Fig. 6
Bland and Altman plot for ultrasound lung comets score. ULCscore1 denotes ultrasound lung comets score measured by the first operator; ULCscore2 denotes ultrasound Lung comets score measured by the second operator of the same pair of sonographers; shaded area denotes agreement limits

References

    1. Mebazaa A, Tolppanen H, Mueller C, et al. Acute heart failure and cardiogenic shock: a multidisciplinary practical guidance. Intensive Care Med. 2016;42:147–163. doi: 10.1007/s00134-015-4041-5.
    1. Stevenson LW, Perloff JK. The limited reliability of physical signs for estimating hemodynamics in chronic heart failure. JAMA. 1989;261:884–888. doi: 10.1001/jama.1989.03420060100040.
    1. Mulrow CD, Lucey CR, Farnett LE. Discriminating causes of dyspnea through clinical examination. J Gen Intern Med. 1993;8:383–392. doi: 10.1007/BF02600079.
    1. Ponikowski P, Voors AA, Anker SD, et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2016;37:2129–2200. doi: 10.1093/eurheartj/ehw128.
    1. Gallard E, Redonnet J-P, Bourcier J-E, et al. Diagnostic performance of cardiopulmonary ultrasound performed by the emergency physician in the management of acute dyspnea. Am J Emerg Med. 2015;33:352–358. doi: 10.1016/j.ajem.2014.12.003.
    1. Price S, Platz E, Cullen L, et al. Expert consensus document: Echocardiography and lung ultrasonography for the assessment and management of acute heart failure. Nat Rev Cardiol. 2017;14:427–440. doi: 10.1038/nrcardio.2017.56.
    1. Gullett J, Donnelly JP, Sinert R, et al. Interobserver agreement in the evaluation of B-lines using bedside ultrasound. J Crit Care. 2015;30:1395–1399. doi: 10.1016/j.jcrc.2015.08.021.
    1. Lichtenstein DA, Mezière GA. Relevance of lung ultrasound in the diagnosis of acute respiratory failure: the BLUE protocol. Chest. 2008;134:117–125. doi: 10.1378/chest.07-2800.
    1. Gargani L. Lung ultrasound: a new tool for the cardiologist. Cardiovasc Ultrasound. 2011;9:6. doi: 10.1186/1476-7120-9-6.
    1. Volpicelli G, Elbarbary M, Blaivas M, et al. International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med. 2012;38:577–591. doi: 10.1007/s00134-012-2513-4.
    1. Wang Y, Shen Z, Lu X, et al. Sensitivity and specificity of ultrasound for the diagnosis of acute pulmonary edema: a systematic review and meta-analysis. Med Ultrason. 2018;1:32–36. doi: 10.11152/mu-1223.
    1. Chiem AT, Chan CH, Ander DS, et al. Comparison of expert and novice sonographers’ performance in focused lung ultrasonography in dyspnea (FLUID) to diagnose patients with acute heart failure syndrome. Acad Emerg Med. 2015;22:564–573. doi: 10.1111/acem.12651.
    1. Al Deeb M, Barbic S, Featherstone R, et al. Point-of-care ultrasonography for the diagnosis of acute cardiogenic pulmonary edema in patients presenting with acute dyspnea: a systematic review and meta-analysis. Acad Emerg Med. 2014;21:843–852. doi: 10.1111/acem.12435.
    1. Frassi F, Gargani L, Tesorio P, et al. Prognostic value of extravascular lung water assessed with ultrasound lung comets by chest sonography in patients with dyspnea and/or chest pain. J Card Fail. 2007;13:830–835. doi: 10.1016/j.cardfail.2007.07.003.
    1. Gargani L, Frassi F, Soldati G, et al. Ultrasound lung comets for the differential diagnosis of acute cardiogenic dyspnoea: a comparison with natriuretic peptides. Eur J Heart Fail. 2008;10:70–77. doi: 10.1016/j.ejheart.2007.10.009.
    1. Maisel AS, Krishnaswamy P, Nowak RM, et al. Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure. N Engl J Med. 2002;347:161–167. doi: 10.1056/NEJMoa020233.
    1. Wang CS, FitzGerald JM, Schulzer M, et al. Does this dyspneic patient in the emergency department have congestive heart failure? JAMA. 2005;294:1944–1956. doi: 10.1001/jama.294.15.1944.
    1. Collins SP, Peacock WF, Lindsell CJ, et al. S3 detection as a diagnostic and prognostic aid in emergency department patients with acute dyspnea. Ann Emerg Med. 2009;53:748–757. doi: 10.1016/j.annemergmed.2008.12.029.
    1. Badgett RG, Lucey CR, Mulrow CD. Can the clinical examination diagnose left-sided heart failure in adults? JAMA. 1997;277:1712–1719. doi: 10.1001/jama.1997.03540450068038.
    1. Cardinale L, Volpicelli G, Binello F, et al. Clinical application of lung ultrasound in patients with acute dyspnea: differential diagnosis between cardiogenic and pulmonary causes. Radiol Med. 2009;114:1053–1064. doi: 10.1007/s11547-009-0451-1.
    1. Staub LJ, Mazzali Biscaro RR, Kaszubowski E, Maurici R. Lung ultrasound for the emergency diagnosis of pneumonia, acute heart failure, and exacerbations of chronic obstructive pulmonary disease/asthma in adults: a systematic review and meta-analysis. J Emerg Med. 2019;56:53–69. doi: 10.1016/j.jemermed.2018.09.009.
    1. Bedetti G, Gargani L, Corbisiero A, et al. Evaluation of ultrasound lung comets by hand-held echocardiography. Cardiovasc Ultrasound. 2006;4:34. doi: 10.1186/1476-7120-4-34.
    1. Pivetta E, Goffi A, Lupia E, et al. Lung ultrasound-implemented diagnosis of acute decompensated heart failure in the ED: a SIMEU multicenter study. Chest. 2015;148:202–210. doi: 10.1378/chest.14-2608.
    1. Liteplo AS, Marill KA, Villen T, et al. Emergency thoracic ultrasound in the differentiation of the etiology of shortness of breath (ETUDES): sonographic B-lines and N-terminal pro-brain-type natriuretic peptide in diagnosing congestive heart failure. Acad Emerg Med. 2009;16:201–210. doi: 10.1111/j.1553-2712.2008.00347.x.
    1. Pivetta E, Baldassa F, Masellis S, et al. Sources of variability in the detection of B-Lines, using lung ultrasound. Ultrasound Med Biol. 2018;44:1212–1216. doi: 10.1016/j.ultrasmedbio.2018.02.018.
    1. Pietersen PI, Madsen KR, Graumann O, et al. Lung ultrasound training: a systematic review of published literature in clinical lung ultrasound training. Crit Ultrasound J. 2018 doi: 10.1186/s13089-018-0103-6.
    1. Efficacy of a remote web-based lung ultrasound training for nephrologists and cardiologists: a LUST trial sub-project | Nephrology Dialysis Transplantation | Oxford Academic. . Accessed 26 Jan 2021

Source: PubMed

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