Possibilities of instrumental determination of volemic status in patients with acute decompensation of chronic heart failure

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Aim. To evaluate and compare the accuracy of volemic status determination by remote dielectric sensing with computed tomography (CT) in patients with acute decompensated heart failure.

Materials and methods. In 28 patients volemic status was determined by ReDS (remote dielectric sensing), chest computed tomography (CCT), and chest X-ray twice during hospitalization (the day of admission and the day of discharge from the hospital). The ReDS measurements were then compared with CT data using software that allows the use of semi-automated tools to determine mean lung density (MLD). MLD results from Hounsfield Units [HU] were then converted to fluid levels (FU%), allowing them to be compared with ReDS values. In addition, to assess the effect of physical activity on the dynamics of pulmonary stasis there was performed 6-minute walk test (6MWT) followed by determination of volumic status by ReDS method.

Results. Correlation analysis revealed an average direct significant correlation (r=+0,5; p=0.001) between the CCT and ReDS data. Hypervolemia indexes according to the CCT revealed statistically significant decrease in the dynamics, which was also reflected in the ReDS index decrease. Lung fluid content according to ReDS averaged 38.2±4.6% on admission, and 34.5±3.9% on discharge (p=0.005). According to CT scan of the CCT, MLD at admission was 23.03±3.9%, at discharge 19.6±3.3% (p=0.003). The positive dynamics of the study methods was also reflected in the positive dynamics of NT-proBNP, which decreased by 46%. In the analysis of ReDS data before and after exercise, there was an increase in ReDS value after the performed 6MWT and it was 35.09±3.9% compared with the initial value of 34.5±3.9%. A strong direct significant correlation (r=+0.7; p=0.0001) was found between the ReDS before and after 6MWT at discharge.

About the authors

Agunda A. Syrkhaeva

Chazov National Medical Research Center of Cardiology

Author for correspondence.
Email: a-arturovna@list.ru
ORCID iD: 0000-0002-2943-8271

graduate student dept. myocardial diseases and heart failure

Russian Federation, Moscow

Svetlana N. Nasonova

Chazov National Medical Research Center of Cardiology

Email: a-arturovna@list.ru
ORCID iD: 0000-0002-0920-7417

Candidate of Medical Sciences, Senior Researcher, Dept. myocardial diseases and heart failure

Russian Federation, Moscow

Igor V. Zhirov

Chazov National Medical Research Center of Cardiology; Russian Medical Academy of Continuous Professional Education

Email: a-arturovna@list.ru
ORCID iD: 0000-0002-4066-2661

Doctor of Medical Sciences, Ved. Researcher Dept. myocardial diseases and heart failure, professor of the department. cardiology

Russian Federation, Moscow; Moscow

Ulia A. Khalilova

People’s Friendship University of Russia (RUDN University)

Email: a-arturovna@list.ru
ORCID iD: 0000-0003-0724-6508

graduate student department hospital therapy with courses in endocrinology, hematology and clinical laboratory diagnostics

Russian Federation, Moscow

Andrey V. Shirkin

Chazov National Medical Research Center of Cardiology; Russian Medical Academy of Continuous Professional Education

Email: a-arturovna@list.ru
ORCID iD: 0009-0004-3327-8778

graduate student dept. tomography

Russian Federation, Moscow; Moscow

Merab A. Shariya

Chazov National Medical Research Center of Cardiology; Sechenov First Moscow State Medical University (Sechenov University)

Email: a-arturovna@list.ru
ORCID iD: 0000-0002-0370-5204

Doctor of Medical Sciences, Ved. Researcher Dept. Tomography, Professor of the Department of Radiation Diagnostics

Russian Federation, Moscow; Moscow

Sergey N. Tereshchenko

Chazov National Medical Research Center of Cardiology

Email: a-arturovna@list.ru
ORCID iD: 0000-0001-9234-6129

Doctor of Medical Sciences, Professor, Head of Department. myocardial diseases and heart failure, head. department cardiology

Russian Federation, Moscow

References

  1. Российское кардиологическое общество (РКО). Хроническая сердечная недостаточность. Клинические рекомендации 2020. Российский кардиологический журнал. 2020;25(11):4083 [Russian Society of Cardiology (RSC). 2020 Clinical practice guidelines for Chronic heart failure. Russian Journal of Cardiology. 2020;25(11):4083 (in Russian)]. doi: 10.15829/1560-4071-2020-4083
  2. Adams KF Jr, Fonarow GC, Emerman CL, et al. Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE). Am Heart J. 2005;149(2):209-16. doi: 10.1016/j.ahj.2004.08.005
  3. O’Connor CM, Abraham WT, Albert NM, et al. Predictors of mortality after discharge in patients hospitalized with heart failure: an analysis from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF). Am Heart J. 2008;156(4):662-73. doi: 10.1016/j.ahj.2008.04.030
  4. Cleland JG, Swedberg K, Follath F, et al. The EuroHeart Failure survey programme – a survey on the quality of care among patients with heart failure in Europe. Part 1: patient characteristics and diagnosis. Eur Heart J. 2003;24(5):442-63. doi: 10.1016/s0195-668x(02)00823-0
  5. Komajda M, Follath F, Swedberg K, et al. The EuroHeart Failure Survey programme – a survey on the quality of care among patients with heart failure in Europe. Part 2: treatment. Eur Heart J. 2003;24(5):464-74. doi: 10.1016/s0195-668x(02)00700-5
  6. Maggioni AP, Dahlstrom U, Filippatos G, et al. EURObservational Research Programme: regional differences and 1-year follow-up results of the Heart Failure Pilot Survey (ESC-HF Pilot). Eur J Heart Fail. 2013;15(7):808-17. doi: 10.1093/eurjhf/hft050
  7. Follath F, Yilmaz MB, Delgado JF, et al. Clinical presentation, management and outcomes in the Acute Heart Failure Global Survey of Standard Treatment (ALARM-HF). Intensive Care Med. 2011;37(4):619-26. doi: 10.1007/s00134-010-2113-0
  8. Farmakis D, Parissis J, Lekakis J, Filippatos G. Acute heart failure: Epidemiology, risk factors, and prevention. Rev Esp Cardiol (Engl Ed). 2015;68(3):245-8. doi: 10.1016/j.rec.2014.11.004
  9. Терещенко С.Н., Жиров И.В., Насонова С.Н., и др. Патофизиология острой сердечной недостаточности. Что нового? Российский кардиологический журнал. 2016;9:52-64 [Tereshchenko SN, Zhirov IV, Nasonova SN, et al. Pathophysiology of acute heart failure. Whats new? Russian Journal of Cardiology. 2016;9:52-64 (in Russian)]. doi: 10.15829/1560-4071-2016-9-52-64
  10. Mueller C, McDonald K, de Boer RA, et al. Heart Failure Association of the European Society of Cardiology practical guidance on the use of natriuretic peptide concentrations. Eur J Heart Fail. 2019;21(6):715-31. doi: 10.1002/ejhf.1494
  11. Mueller C, McDonald K, de Boer RA, et al. Heart Failure Association of the European Society of Cardiology practical guidance on the use of natriuretic peptide concentrations. Eur J Heart Fail. 2019;21(6):715-31. doi: 10.1002/ejhf.1494
  12. Жиров И.В., Насонова С.Н., Сырхаева А.А., и др. Оптимизация определения волемического статуса у пациентов с острой декомпенсацией сердечной недостаточности. Российский кардиологический журнал. 2022;27(5):5039 [Zhirov IV, Nasonova SN, Syrkhaeva AA, et al. Optimization of intravascular volume determination in patients with acute decompensated heart failure. Russian Journal of Cardiology. 2022;27(5):5039 (in Russian)]. doi: 10.15829/1560-4071-2022-5039
  13. Simon BA. Non-invasive imaging of regional lung function using x-ray computed tomography. J Clin Monit Comput. 2000;16(5-6):433-42. doi: 10.1023/a:1011444826908
  14. Morooka N, Watanabe S, Masuda Y, Inagaki Y. Estimation of pulmonary water distribution and pulmonary congestion by computed tomography. Jpn Heart J. 1982;23(5):697-709. doi: 10.1536/ihj.23.697
  15. Kato S, Nakamoto T, Iizuka M. Early diagnosis and estimation of pulmonary congestion and edema in patients with left-sided heart diseases from histogram of pulmonary CT number. Chest. 1996;109(6):1439-45. doi: 10.1378/chest.109.6.1439
  16. Snyder EM, Beck KC, Turner ST, et al. Genetic variation of the beta2-adrenergic receptor is associated with differences in lung fluid accumulation in humans. J Appl Physiol. 1985;102(6):2172-8. doi: 10.1152/japplphysiol.01300.2006
  17. ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002;166(1):111-7. doi: 10.1164/ajrccm.166.1.at1102
  18. Rosenblum LJ, Mauceri RA, Wellenstein DE, et al. Density patterns in the normal lung as determined by computed tomography. Radiology. 1980;137(2):409-16. doi: 10.1148/radiology.137.2.7433674
  19. Amir O, Azzam ZS, Gaspar T, et al. Validation of remote dielectric sensing (ReDS™) technology for quantification of lung fluid status: Comparison to high resolution chest computed tomography in patients with and without acute heart failure. Int J Cardiol. 2016;221:841-6. doi: 10.1016/j.ijcard.2016.06.323
  20. Amir O, Rappaport D, Zafrir B, Abraham WT. A novel approach to monitoring pulmonary congestion in heart failure: initial animal and clinical experiences using remote dielectric sensing technology. Congest Heart Fail. 2013;19(3):149-55. doi: 10.1111/chf.12021

Supplementary files

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1. JATS XML
2. Fig. 1. Criteria for inclusion and exclusion of patients.

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3. Fig. 2. Correlation of chest CT scan and ReDS data at arrival.

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4. Fig. 3. Evolution of blood volume indicators according to ReDS and average lung tissue density.

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5. Fig. 4. Correlation of ReDS values before and after a 6-minute walk test.

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