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Comparison of the prognostic value, feasibility, and reproducibility among different scoring methods of 8‑point lung ultrasonography in patients with acute heart failure

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Abstract

There is no strong evidence that one of the B-line quantification approaches is clinically superior to the others, as the use of lung ultrasound (LUS) protocol becomes more commonplace in the treatment of heart failure (HF). This study, thus, aimed to evaluate to the prognostic value, feasibility, and reproducibility for selecting optimal B-line quantification methods. We enrolled patients with HF admitted to the emergency intensive care unit (EICU) in a single-center, prospective, observational study. LUS were performed before EICU discharge, and six B-line quantification methods were used to calculate scores. A total of 71 patients were enrolled. There was a moderately good discriminative value between six quantification methods and the composite outcome. The calibration curve of six B-line quantification methods for the probability of the composite outcome showed good agreement between prediction and observation. Decision curve presented that six B-line quantification methods presented similar net benefits at the entire range of threshold probabilities. Image interpretation time of Quantitative methods 1 and 2 was significantly less than that of other methods. Intraclass correlation coefficients (ICC) for B-pattern scoring systems (Quantitative methods 1 and 2) between two experts demonstrated the excellent level of clinical significance. Despite the similar discrimination, calibration and clinical usefulness, pattern-B scoring systems have the benefit of the feasibility and reproducibility over other methods.

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Data availability

The datasets that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, Burri H, Butler J, Čelutkienė J, Chioncel O, Cleland JGF, Coats AJS, Crespo-Leiro MG, Farmakis D, Gilard M, Heymans S, Hoes AW, Jaarsma T, Jankowska EA, Lainscak M, Lam CSP, Lyon AR, McMurray JJV, Mebazaa A, Mindham R, Muneretto C, Francesco Piepoli M, Price S, Rosano GMC, Ruschitzka F, Kathrine Skibelund A (2021) 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J 42:1–128. https://doi.org/10.1093/eurheartj/ehab368

    Article  CAS  Google Scholar 

  2. Luo Y, Li Z, Liu J, Chong Y, Wu B (2021) Prognostic value of the albumin-bilirubin score in critically ill patients with heart failure. Ann Palliative Med 10(12):12727–12741. https://doi.org/10.21037/apm-21-3424

    Article  Google Scholar 

  3. Ambrosy AP, Fonarow GC, Butler J, Chioncel O, Greene SJ, Vaduganathan M, Nodari S, Lam CSP, Sato N, Shah AN, Gheorghiade M (2014) The global health and economic burden of hospitalizations for heart failure: lessons learned from hospitalized heart failure registries. J Am Coll Cardiol 63(12):1123–1133. https://doi.org/10.1016/j.jacc.2013.11.053

    Article  PubMed  Google Scholar 

  4. Luo C, Zhu Y, Zhu Z, Li R, Chen G, Wang Z (2022) A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure. J Transl Med 20(1):136. https://doi.org/10.1186/s12967-022-03340-8

    Article  PubMed  PubMed Central  Google Scholar 

  5. Kim MS, Lee JH, Cho HJ, Cho JY, Choi JO, Hwang KK, Yoo BS, Kang SM, Choi DJ (2019) KSHF Guidelines for the Management of Acute Heart Failure: Part III. Specific Management of Acute Heart Failure According to the Etiology and Co-morbidity. Korean Circ J 49(1):46–68. https://doi.org/10.4070/kcj.2018.0351

    Article  PubMed  Google Scholar 

  6. Palazzuoli A, Ruocco G, Beltrami M, Nuti R, Cleland JG (2018) Combined use of lung ultrasound, B-type natriuretic peptide, and echocardiography for outcome prediction in patients with acute HFrEF and HFpEF. Clin Res Cardiol 107(7):586–596. https://doi.org/10.1007/s00392-018-1221-7

    Article  CAS  PubMed  Google Scholar 

  7. Platz E, Merz AA, Jhund PS, Vazir A, Campbell R, McMurray JJ (2017) Dynamic changes and prognostic value of pulmonary congestion by lung ultrasound in acute and chronic heart failure: a systematic review. Eur J Heart Fail 19(9):1154–1163. https://doi.org/10.1002/ejhf.839

    Article  PubMed  Google Scholar 

  8. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, Falk V, Gonzalez-Juanatey JR, Harjola VP, Jankowska EA, Jessup M, Linde C, Nihoyannopoulos P, Parissis JT, Pieske B, Riley JP, Rosano GMC, Ruilope LM, Ruschitzka F, Rutten FH, van der Meer P (2016) 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 37(27):2129–2200. https://doi.org/10.1093/eurheartj/ehw128

    Article  PubMed  Google Scholar 

  9. Kang Y, Zhong XK, Chen QW, Yang ZX, Chen XJ, Yu PM, Zhang Q (2022) Prognostic values of B-lines combined with clinical congestion assessment at discharge in heart failure patients. ESC Heart Fail 9(5):3044–3051. https://doi.org/10.1002/ehf2.14041

    Article  PubMed  PubMed Central  Google Scholar 

  10. Gargani L, Pang PS, Frassi F, Miglioranza MH, Dini FL, Landi P, Picano E (2015) Persistent pulmonary congestion before discharge predicts rehospitalization in heart failure: a lung ultrasound study. Cardiovasc Ultrasound 13:40. https://doi.org/10.1186/s12947-015-0033-4

    Article  PubMed  PubMed Central  Google Scholar 

  11. Cogliati C, Casazza G, Ceriani E, Torzillo D, Furlotti S, Bossi I, Vago T, Costantino G, Montano N (2016) Lung ultrasound and short-term prognosis in heart failure patients. Int J Cardiol 218:104–108. https://doi.org/10.1016/j.ijcard.2016.05.010

    Article  PubMed  Google Scholar 

  12. Coiro S, Porot G, Rossignol P, Ambrosio G, Carluccio E, Tritto I, Huttin O, Lemoine S, Sadoul N, Donal E, Zannad F, Girerd N (2016) Prognostic value of pulmonary congestion assessed by lung ultrasound imaging during heart failure hospitalisation: a two-centre cohort study. Sci Rep 6:39426. https://doi.org/10.1038/srep39426

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Platz E, Campbell RT, Claggett B, Lewis EF, Groarke JD, Docherty KF, Lee MMY, Merz AA, Silverman M, Swamy V, Lindner M, Rivero J, Solomon SD, McMurray JJV (2019) Lung Ultrasound in Acute Heart Failure: Prevalence of Pulmonary Congestion and Short- and Long-Term Outcomes. JACC Heart Fail 7(10):849–858. https://doi.org/10.1016/j.jchf.2019.07.008

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ceriani E, Casazza G, Peta J, Torzillo D, Furlotti S, Cogliati C (2020) Residual congestion and long-term prognosis in acutely decompensated heart failure patients. Intern Emerg Med 15(4):719–724. https://doi.org/10.1007/s11739-020-02326-y

    Article  CAS  PubMed  Google Scholar 

  15. Pugliese NR, Mazzola M, Bandini G, Barbieri G, Spinelli S, De Biase N, Masi S, Moggi-Pignone A, Ghiadoni L, Taddei S, Sicari R, Pang PS, De Carlo M, Gargani L (2023) Prognostic Role of Sonographic Decongestion in Patients with Acute Heart Failure with Reduced and Preserved Ejection Fraction: A Multicentre Study. J Clin Med. https://doi.org/10.3390/jcm12030773

    Article  PubMed  PubMed Central  Google Scholar 

  16. Leidi A, Soret G, Mann T, Koegler F, Coen M, Leszek A, Dubouchet L, Guillermin A, Kaddour M, Rouyer F, Combescure C, Carballo S, Reny JL, Marti C, Stirnemann J, Grosgurin O (2022) Eight versus 28-point lung ultrasonography in moderate acute heart failure: a prospective comparative study. Intern Emerg Med 17(5):1375–1383. https://doi.org/10.1007/s11739-022-02943-9

    Article  PubMed  PubMed Central  Google Scholar 

  17. Liteplo AS, Marill KA, Villen T, Miller RM, Murray AF, Croft PE, Capp R, Noble VE (2009) 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 16(3):201–210. https://doi.org/10.1111/j.1553-2712.2008.00347.x

    Article  PubMed  Google Scholar 

  18. Enghard P, Rademacher S, Nee J, Hasper D, Engert U, Jorres A, Kruse JM (2015) Simplified lung ultrasound protocol shows excellent prediction of extravascular lung water in ventilated intensive care patients. Critical Care (Lond, Engl) 19:36. https://doi.org/10.1186/s13054-015-0756-5

    Article  Google Scholar 

  19. Pivetta E, Goffi A, Lupia E, Tizzani M, Porrino G, Ferreri E, Volpicelli G, Balzaretti P, Banderali A, Iacobucci A, Locatelli S, Casoli G, Stone MB, Maule MM, Baldi I, Merletti F, Cibinel GA, Baron P, Battista S, Buonafede G, Busso V, Conterno A, Del Rizzo P, Ferrera P, Pecetto PF, Moiraghi C, Morello F, Steri F, Ciccone G, Calasso C, Caserta MA, Civita M, Condo C, D’Alessandro V, Del Colle S, Ferrero S, Griot G, Laurita E, Lazzero A, Lo Curto F, Michelazzo M, Nicosia V, Palmari N, Ricchiardi A, Rolfo A, Rostagno R, Bar F, Boero E, Frascisco M, Micossi I, Mussa A, Stefanone V, Agricola R, Cordero G, Corradi F, Runzo C, Soragna A, Sciullo D, Vercillo D, Allione A, Artana N, Corsini F, Dutto L, Lauria G, Morgillo T, Tartaglino B, Bergandi D, Cassetta I, Masera C, Garrone M, Ghiselli G, Ausiello L, Barutta L, Bernardi E, Bono A, Forno D, Lamorte A, Lison D, Lorenzati B, Maggio E, Masi I, Maggiorotto M, Novelli G, Panero F, Perotto M, Ravazzoli M, Saglio E, Soardo F, Tizzani A, Tizzani P, Tullio M, Ulla M, Romagnoli E (2015) Lung Ultrasound-Implemented Diagnosis of Acute Decompensated Heart Failure in the ED. Chest 148(1):202–210. https://doi.org/10.1378/chest.14-2608

    Article  PubMed  Google Scholar 

  20. Rouby J-J, Arbelot C, Gao Y, Zhang M, Lv J, An Y, Chunyao W, Bin D, Valente Barbas CS, Dexheimer Neto FL, Prior Caltabeloti F, Lima E, Cebey A, Perbet S, Constantin J-M (2018) Training for Lung Ultrasound Score Measurement in Critically Ill Patients. Am J Respir Crit Care Med 198(3):398–401. https://doi.org/10.1164/rccm.201802-0227LE

    Article  PubMed  PubMed Central  Google Scholar 

  21. Harrison NE, Ehrman R, Favot M, Gowland L, Lenning J, Abidov A, Henry S, Gupta S, Welch R, Levy P (2022) Right ventricular dysfunction in acute heart failure from emergency department to discharge: Predictors and clinical implications. Am J Emerg Med 52:25–33. https://doi.org/10.1016/j.ajem.2021.11.024

    Article  PubMed  Google Scholar 

  22. Volpicelli G, Elbarbary M, Blaivas M, Lichtenstein DA, Mathis G, Kirkpatrick AW, Melniker L, Gargani L, Noble VE, Via G, Dean A, Tsung JW, Soldati G, Copetti R, Bouhemad B, Reissig A, Agricola E, Rouby J-J, Arbelot C, Liteplo A, Sargsyan A, Silva F, Hoppmann R, Breitkreutz R, Seibel A, Neri L, Storti E, Petrovic T (2012) International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med 38(4):577–591. https://doi.org/10.1007/s00134-012-2513-4

    Article  PubMed  Google Scholar 

  23. Buessler A, Chouihed T, Duarte K, Bassand A, Huot-Marchand M, Gottwalles Y, Pénine A, André E, Nace L, Jaeger D, Kobayashi M, Coiro S, Rossignol P, Girerd N (2020) Accuracy of Several Lung Ultrasound Methods for the Diagnosis of Acute Heart Failure in the ED: A Multicenter Prospective Study. Chest 157(1):99–110. https://doi.org/10.1016/j.chest.2019.07.017

    Article  PubMed  Google Scholar 

  24. Cox EGM, Wiersema R, Wong A, van der Horst ICC (2020) Six versus eight and twenty-eight scan sites for B-line assessment: differences in examination time and findings. Intensive Care Med 46(5):1063–1064. https://doi.org/10.1007/s00134-020-06004-7

    Article  PubMed  Google Scholar 

  25. Pellicori P, Platz E, Dauw J, Ter Maaten JM, Martens P, Pivetta E, Cleland JGF, McMurray JJV, Mullens W, Solomon SD, Zannad F, Gargani L, Girerd N (2021) Ultrasound imaging of congestion in heart failure: examinations beyond the heart. Eur J Heart Fail 23(5):703–712. https://doi.org/10.1002/ejhf.2032

    Article  PubMed  Google Scholar 

  26. Araiza-Garaygordobil D, Gopar-Nieto R, Martinez-Amezcua P, Cabello-Lopez A, Manzur-Sandoval D, Garcia-Cruz E, De la Fuente-Mancera JC, Martinez-Gutierrez J, Luna-Carrera MJ, Lerma-Landeros E, Gutierrez-Gonzalez FM, Gonzalez-Pacheco H, Briseno-De la Cruz JL, Arias-Mendoza A (2021) Point-of-care lung ultrasound predicts in-hospital mortality in acute heart failure. QJM 114(2):111–116. https://doi.org/10.1093/qjmed/hcaa298

    Article  CAS  PubMed  Google Scholar 

  27. Pang PS, Russell FM, Ehrman R, Ferre R, Gargani L, Levy PD, Noble V, Lane KA, Li X, Collins SP (2021) Lung Ultrasound-Guided Emergency Department Management of Acute Heart Failure (BLUSHED-AHF): A Randomized Controlled Pilot Trial. JACC Heart Fail 9(9):638–648. https://doi.org/10.1016/j.jchf.2021.05.008

    Article  PubMed  PubMed Central  Google Scholar 

  28. Yang F, Wang Q, Zhang L, Ma Y, Chen Q (2021) Prognostic value of pulmonary oedema assessed by lung ultrasound in patient with acute heart failure. Heart Vessels 36(4):518–527. https://doi.org/10.1007/s00380-020-01719-5

    Article  PubMed  Google Scholar 

  29. Anderson KL, Fields JM, Panebianco NL, Jenq KY, Marin J, Dean AJ (2013) Inter-rater reliability of quantifying pleural B-lines using multiple counting methods. J Ultrasound Med 32(1):115–120. https://doi.org/10.7863/jum.2013.32.1.115

    Article  PubMed  Google Scholar 

  30. Tsuchiya N, Griffin L, Yabuuchi H, Kawanami S, Shinzato J, Murayama S (2020) Imaging findings of pulmonary edema: Part 1. Cardiogenic pulmonary edema and acute respiratory distress syndrome. Acta Radiol 61(2):184–194. https://doi.org/10.1177/0284185119857433

    Article  PubMed  Google Scholar 

  31. Mayo PH, Copetti R, Feller-Kopman D, Mathis G, Maury E, Mongodi S, Mojoli F, Volpicelli G, Zanobetti M (2019) Thoracic ultrasonography: a narrative review. Intensive Care Med 45(9):1200–1211. https://doi.org/10.1007/s00134-019-05725-8

    Article  CAS  PubMed  Google Scholar 

  32. Coiro S, Rossignol P, Ambrosio G, Carluccio E, Alunni G, Murrone A, Tritto I, Zannad F, Girerd N (2015) Prognostic value of residual pulmonary congestion at discharge assessed by lung ultrasound imaging in heart failure. Eur J Heart Fail 17(11):1172–1181. https://doi.org/10.1002/ejhf.344

    Article  PubMed  Google Scholar 

  33. Palazzuoli A, Evangelista I, Beltrami M, Pirrotta F, Tavera MC, Gennari L, Ruocco G (2022) Clinical, Laboratory and Lung Ultrasound Assessment of Congestion in Patients with Acute Heart Failure. J Clin Med 11(6):1642. https://doi.org/10.3390/jcm11061642

    Article  PubMed  PubMed Central  Google Scholar 

  34. Mitchell C, Rahko PS, Blauwet LA, Canaday B, Finstuen JA, Foster MC, Horton K, Ogunyankin KO, Palma RA, Velazquez EJ (2019) Guidelines for Performing a Comprehensive Transthoracic Echocardiographic Examination in Adults: Recommendations from the American Society of Echocardiography. J Am Soc Echocardiogr 32(1):1–64. https://doi.org/10.1016/j.echo.2018.06.004

    Article  PubMed  Google Scholar 

  35. Augustine DX, Coates-Bradshaw LD, Willis J, Harkness A, Mathew T (2018) Echocardiographic assessment of pulmonary hypertension: A guideline protocol from the British Society of Echocardiography. Echo Res Pract 5(3):G11–G24

    Article  PubMed  PubMed Central  Google Scholar 

  36. Huang WC, Hsu CH, Sung SH, Ho WJ, Chu CY, Chang CP, Chiu YW, Wu CH, Chang WT, Lin L, Lin SL, Cheng CC, Wu YJ, Wu SH, Hsieh TY, Hsu HH, Fu M, Dai ZK, Kuo PH, Hwang JJ, Cheng SM (2019) 2018 TSOC guideline focused update on diagnosis and treatment of pulmonary arterial hypertension. J Formosan Med Assoc = Taiwan yi zhi 118(12):1584–1609. https://doi.org/10.1016/j.jfma.2018.12.009

    Article  PubMed  Google Scholar 

  37. Platz E, Jhund PS, Girerd N, Pivetta E, McMurray JJV, Peacock WF, Masip J, Martin-Sanchez FJ, Miró Ò, Price S, Cullen L, Maisel AS, Vrints C, Cowie MR, DiSomma S, Bueno H, Mebazaa A, Gualandro DM, Tavares M, Metra M, Coats AJS, Ruschitzka F, Seferovic PM, Mueller C (2019) Expert consensus document: Reporting checklist for quantification of pulmonary congestion by lung ultrasound in heart failure. Eur J Heart Fail 21(7):844–851. https://doi.org/10.1002/ejhf.1499

    Article  PubMed  Google Scholar 

  38. Wang M, Hao M, Liu N, Yang X, Lu Y, Liu R, Zhang H (2023) Nomogram for predicting the risk of preterm birth in women undergoing in vitro fertilization cycles. BMC Pregnancy Childbirth 23(1):324. https://doi.org/10.1186/s12884-023-05646-x

    Article  PubMed  PubMed Central  Google Scholar 

  39. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR (1996) A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 49(12):1373–1379. https://doi.org/10.1016/s0895-4356(96)00236-3

    Article  CAS  PubMed  Google Scholar 

  40. Dou Y, Li A, Liu G, Wang P, Zhang B (2023) Comparison of bioimpedance equations and dual-energy X-ray for assessment of fat free mass in a Chinese dialysis population. Ren Fail 45(1):2182131. https://doi.org/10.1080/0886022x.2023.2182131

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Alqutub MN (2022) Peri-implant parameters and cytokine profile among Peri-implant disease patients treated with Er Cr YSGG laser and PDT. Photodiagnosis Photodynamic Ther 37:102641. https://doi.org/10.1016/j.pdpdt.2021.102641

    Article  CAS  Google Scholar 

  42. Grant SW, Collins GS, Nashef SAM (2018) Statistical Primer: develo** and validating a risk prediction model. Eur J Cardiothorac Surg 54(2):203–208. https://doi.org/10.1093/ejcts/ezy180

    Article  PubMed  Google Scholar 

  43. Staffa SJ, Zurakowski D (2021) Statistical Development and Validation of Clinical Prediction Models. Anesthesiology 135(3):396–405. https://doi.org/10.1097/ALN.0000000000003871

    Article  PubMed  Google Scholar 

  44. Regterschot GR, Morat T, Folkersma M, Zijlstra W (2015) The application of strength and power related field tests in older adults: criteria, current status and a future perspective. Eur Rev Aging Phys Activity 12:2. https://doi.org/10.1186/s11556-015-0147-6

    Article  Google Scholar 

  45. Pičuljan A, Šustić M, Brumini G, Kuharić J, Šustić A (2020) Reliability of B-line quantification by different-level observers and a software algorithm using point-of-care lung ultrasound. J Clin Monit Comput 34(6):1259–1264. https://doi.org/10.1007/s10877-019-00440-7

    Article  PubMed  Google Scholar 

  46. Cohen A, Li T, Maybaum S, Fridman D, Gordon M, Shi D, Nelson M, Stevens GR (2023) Pulmonary Congestion on Lung Ultrasound Predicts Increased Risk of 30-Day Readmission in Heart Failure Patients. J Ultrasound Med 42:1–12. https://doi.org/10.1002/jum.16202

    Article  Google Scholar 

  47. Johannessen Ø, Claggett B, Lewis EF, Groarke JD, Swamy V, Lindner M, Solomon SD, Platz E (2021) A-lines and B-lines in patients with acute heart failure. Eur Heart J Acute Cardiovasc Care 10(8):909–917. https://doi.org/10.1093/ehjacc/zuab046

    Article  PubMed  PubMed Central  Google Scholar 

  48. Pérez-Herrero S, Lorenzo-Villalba N, Urbano E, Sánchez-Sauce B, Aguilar-Rodríguez F, Bernabeu-Wittel M, Garcia-Alonso R, Soler-Rangel L, Trapiello-Valbuena F, Garcia-García A, Casas-Rojo JM, Beltrán-Romero L, De Jorge-Huerta L, Molina-Puente JI, Andrès E, Iguarán-Bermúdez R, Méndez-Bailón M (2022) Prognostic Significance of Lung and Cava Vein Ultrasound in Elderly Patients Admitted for Acute Heart Failure: PROFUND-IC Registry Analysis. J Clin Med. https://doi.org/10.3390/jcm11154591

    Article  PubMed  PubMed Central  Google Scholar 

  49. Rattarasarn I, Yingchoncharoen T, Assavapokee T (2022) Prediction of rehospitalization in patients with acute heart failure using point-of-care lung ultrasound. BMC Cardiovasc Disord 22(1):330. https://doi.org/10.1186/s12872-022-02781-9

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Imanishi J, Maeda T, Ujiro S, Masuda M, Kusakabe Y, Takemoto M, Fujimoto W, Kuroda K, Yamashita S, Iwasaki M, Todoroki T, Okuda M (2023) Association between B-lines on lung ultrasound, invasive haemodynamics, and prognosis in acute heart failure patients. Eur Heart J Acute Cardiovasc Care 12(2):115–123. https://doi.org/10.1093/ehjacc/zuac158

    Article  PubMed  Google Scholar 

  51. Gomond-Le Goff C, Vivalda L, Foligno S, Loi B, Yousef N, De Luca D (2020) Effect of Different Probes and Expertise on the Interpretation Reliability of Point-of-Care Lung Ultrasound. Chest 157(4):924–931. https://doi.org/10.1016/j.chest.2019.11.013

    Article  PubMed  Google Scholar 

  52. DeSanti RL, Cowan EA, Kory PD, Lasarev MR, Schmidt J, Al-Subu AM (2022) The Inter-Rater Reliability of Pediatric Point-of-Care Lung Ultrasound Interpretation in Children With Acute Respiratory Failure. J Ultrasound Med 41(5):1159–1167. https://doi.org/10.1002/jum.15805

    Article  PubMed  Google Scholar 

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Acknowledgements

We would like to thank Zhou D at Zigong Academy of Artificial Intelligence and Big Data for Medical Science for his support.

Funding

This study was funded by the Health and Family Planning Commission of Sichuan Province (17PJ136), Sichuan Medical Association Scientific Research Project (S21019), and Scientific Project of Zigong Fourth People's Hospital (202102).

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  1. ** Xu and Li Ye have contributed equally to this work and share first authorship.

Authors and Affiliations

  1. Emergency Department, Zigong Fourth People’s Hospital, 19 Tanmulin Road, Zigong, 643000, Sichuan, China

    ** Xu, Liang Li, Wenbin Huang & Wei Liu

  2. Institute of Medical Big Data, Zigong Academy of Artificial Intelligence and Big Data for Medical Science, Zigong, China

    ** Xu & Wei Liu

  3. Emergency Department, Fushun People’s Hospital, Fushun, Sichuan, China

    Li Ye

  4. Department of Health Management Center, Zigong Fourth People’s Hospital, Zigong, China

    Kui Huang

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Correspondence to ** Xu.

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Xu, P., Ye, L., Li, L. et al. Comparison of the prognostic value, feasibility, and reproducibility among different scoring methods of 8‑point lung ultrasonography in patients with acute heart failure. Intern Emerg Med 18, 2321–2332 (2023). https://doi.org/10.1007/s11739-023-03433-2

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