远距离观测慢性心力衰竭患者:一种无创方法

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近年来,对患者健康状况的远距离观测得到了积极应用,包括慢性心力衰竭患者。与侵入性方法不同,非侵入性方法不存在操作风险,并为患者就医提供可能:远程监护、虚拟就诊、前往急诊室途中的预分诊、院内远程医疗、远程医疗康复、心理支持等等。此前,远距离观测是由来自不同专业的医护人员组成的多学科团队进行的,这确保了高效率,但试图引入现代技术以减少人工参与的努力往往并不成功。然而,COVID-19大流行推动了医疗保健领域所有电子和远程医疗技术的彻底变革。目前远距离观测的方法和技术种类繁多,但由于缺乏统一 标准、立法不完善,以及这些技术的可用性存在地区、社会和经济差异,仍然无法明确判断其有效性。然而,2021年远距离观测被纳入欧洲心脏病学会诊断和治疗急慢性心力衰竭(IIb)的临床指南。本综述介绍了现代远距离观测方法的发展历史,以及它们旨在解决的问题,以提高慢性心力衰竭患者健康状况的门诊监测效率。

作者简介

Aleksei V. Emelianov

Sechenov First Moscow State Medical University

编辑信件的主要联系方式.
Email: emelyanow.alexei@yandex.ru
ORCID iD: 0000-0002-4748-8029
SPIN 代码: 4346-1475

MD

俄罗斯联邦, Moscow

Maria V. Kozhevnikova

Sechenov First Moscow State Medical University

Email: kozhevnikova-m@inbox.ru
ORCID iD: 0000-0003-4778-7755
SPIN 代码: 8501-9812

MD, Cand. Sci. (Medicine)

俄罗斯联邦, Moscow

Elena A. Zheleznykh

Sechenov First Moscow State Medical University

Email: elenavlvp@gmail.com
ORCID iD: 0000-0002-2596-192X
SPIN 代码: 2941-4875

MD, Cand. Sci. (Medicine)

俄罗斯联邦, Moscow

Anastasia L. Panova

Sechenov First Moscow State Medical University

Email: lanaer@rambler.ru
ORCID iD: 0009-0000-9543-5282

MD

俄罗斯联邦, Moscow

Elena Privalova

Sechenov First Moscow State Medical University

Email: ev_privalova@mail.ru
ORCID iD: 0000-0001-6675-7557

MD, Dr. Sci. (Medicine), Professor

俄罗斯联邦, Moscow

Yuri N. Belenkov

Sechenov First Moscow State Medical University

Email: ynbelenkov@gmail.com
ORCID iD: 0000-0002-3014-6129
SPIN 代码: 5661-4691

MD, Dr. Sci. (Medicine), Academician of the Russian Academy of Sciences, head of the department of hospital therapy №1

俄罗斯联邦, Moscow

参考

  1. McDonagh TA, Metra M, Adamo M, et al.; ESC Scientific Document Group. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42(36):3599–3726. doi: 10.1093/eurheartj/ehab368
  2. Polyakov DS, Fomin IV, Belenkov YuN, et al. Chronic heart failure in the Russian Federation: what has changed over 20 years of follow up? Results of the EPOCH-CHF study. Kardiologiia. 2021;61(4):4–14. EDN: WSZNFS doi: 10.18087/cardio.2021.4.n1628
  3. Tromp J, Ouwerkerk W, van Veldhuisen DJ, et al. A Systematic review and network meta analysis of pharmacological treatment of heart failure with reduced ejection fraction // JACC Heart Fail. 2022;10(2):73–84. doi: 10.1016/j.jchf.2021.09.004
  4. Shlyakhto EV, Belenkov YuN, Boytsov SA, et al. Prospective observational multicenter registry study of patients with heart failure in the Russian Federation (PRIORITET-CHF): rationale, objectives and design of the. Russian Journal of Cardiology. 2023;28(6):7–14. EDN: LKSHVP doi: 10.15829/1560-4071-2023-5456
  5. Maddox TM, Januzzi JL, Jr, Allen LA, et al. 2024 ACC Expert consensus decision pathway for treatment of heart failure with reduced ejection fraction: a report of the American College of Cardiology solution set oversight committee. J. Am. Coll. Cardiol. 2024;83(15):1444–1488. doi: 10.1016/j.jacc.2023.12.024
  6. Ruppar TM, Cooper PS, Mehr DR, et al. Medication adherence interventions improve heart failure mortality and readmission rates: systematic review and meta analysis of controlled trials. J. Am. Heart Assoc. 2016;5(6):e002606. doi: 10.1161/JAHA.115.002606
  7. Wu JR, Moser DK. Medication adherence mediates the relationship between heart failure symptoms and cardiac event free survival in patients with heart failure. J. Cardiovasc. Nurs. 2018;33(1):40–46. doi: 10.1097/JCN.0000000000000427
  8. Shah D, Simms K, Barksdale D, Wu J. Improving medication adherence of patients with chronic heart failure: challenges and solutions. Res. Rep. Clin. Cardiol. 2015;6:87–95. doi: 10.2147/RRCC.S50658
  9. Adamson PB. Pathophysiology of the transition from chronic compensated and acute decompensated heart failure: new insights from continuous monitoring devices. Curr. Heart Fail. Rep. 2009;6(4):287–292. doi: 10.1007/s11897-009-0039-z
  10. Stevenson LW, Ross HJ, Rathman LD, Boehmer JP. Remote monitoring for heart failure management at home. J. Am. Coll. Cardiol. 2023;81(23):2272–2291. doi: 10.1016/j.jacc.2023.04.010
  11. Lindenfeld J, Costanzo MR, Zile MR, et al.; GUIDE-HF, CHAMPION, LAPTOP-HF Investigators. Implantable hemodynamic monitors improve survival in patients with heart failure and reduced ejection fraction. J. Am. Coll. Cardiol. 2024;83(6):682–694. doi: 10.1016/j.jacc.2023.11.030
  12. Scholte NTB, Gürgöze MT, Aydin D, et al. Telemonitoring for heart failure: a meta analysis. Eur. Heart J. 2023;44(31):2911–2926. doi: 10.1093/eurheartj/ehad280
  13. Rich MW, Beckham V, Wittenberg C, et al. A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. N. Engl. J. Med. 1995;333(18):1190–1195. doi: 10.1056/NEJM199511023331806
  14. Fonarow GC, Stevenson LW, Walden JA, et al. Impact of a comprehensive heart failure management program on hospital readmission and functional status of patients with advanced heart failure. J. Am. Coll. Cardiol. 1997;30(3):725–732. doi: 10.1016/s0735-1097(97)00208 8
  15. Cline CM, Israelsson BY, Willenheimer RB, et al. Cost effective management programme for heart failure reduces hospitalization. Heart. 1998;80(5):442–446. doi: 10.1136/hrt.80.5.442
  16. Gattis WA, Hasselblad V, Whellan DJ, O’Connor CM. Reduction in heart failure events by the addition of a clinical pharmacist to the heart failure management team: results of the pharmacist in heart failure assessment recommendation and monitoring (PHARM) Study. Arch. Intern. Med. 1999;159(16):1939–1945. doi: 10.1001/archinte.159.16.1939
  17. McAlister FA, Stewart S, Ferrua S, McMurray JJ. Multidisciplinary strategies for the management of heart failure patients at high risk for admission. J. Am. Coll. Cardiol. 2004;44(4):810–819. doi: 10.1016/j.jacc.2004.05.055
  18. Cleland JG, Louis AA, Rigby AS, et al.; TEN-HMS Investigators. Noninvasive home telemonitoring for patients with heart failure at high risk of recurrent admission and death. J. Am. Coll. Cardiol. 2005;45(10):1654–1664. doi: 10.1016/j.jacc.2005.01.050
  19. Belenkov YuN. Effect of specialized forms of active outpatient management on the functional status, quality of life and hemodynamic parameters in patients with advanced heart failure. Results of the Russian Program «CHANCE». Russ Heart Fail J. 2007;8(3):112–116. EDN: ODSNQP
  20. Rotenstein LS, Holmgren AJ, Downing N L, Bates DW. Differences in total and after hours electronic health record time across ambulatory specialties. JAMA Intern. Med. 2021;181(6):863–865. doi: 10.1001/jamainternmed.2021.0256
  21. Adler Milstein J, Zhao W, Willard Grace R, et al. Electronic health records and burnout: time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians. J. Am. Med. Inform. Assoc. 2020;27(4):531–538. doi: 10.1093/jamia/ocz220
  22. Azizi Z, Broadwin C, Islam S, et al. Digital health interventions for heart failure management in underserved rural areas of the united states: a systematic review of randomized trials. J. Am. Heart Assoc. 2024;13(2):e030956. doi: 10.1161/JAHA.123.030956
  23. Klersy C, De Silvestri A, Gabutti G, et al. A meta analysis of remote monitoring of heart failure patients. J. Am. Coll. Cardiol. 2009;54(18):1683–1694. doi: 10.1016/j.jacc.2009.08.017
  24. Chaudhry SI, Mattera JA, Curtis JP, et al. Telemonitoring in Patients with Heart Failure. N. Engl. J. Med. 2010;363(24):2301–2309. doi: 10.1056/NEJMoa1010029
  25. Koehler F, Winkler S, Schieber M, et al.; TIM-HF Investigators. Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure: the telemedical interventional monitoring in heart failure study. Circulation. 2011;123(17):1873–1880. doi: 10.1161/CIRCULATIONAHA.111.018473
  26. Lyngå P, Persson H, Hägg Martinell A, et al. Weight monitoring in patients with severe heart failure (WISH). A randomized controlled trial. Eur. J. Heart Fail. 2012;14(4):438–444. doi: 10.1093/eurjhf/hfs023
  27. Boyne JJ, Vrijhoef HJ, Crijns HJ, et al.; TEHAF investigators. Tailored telemonitoring in patients with heart failure: results of a multicentre randomized controlled trial. Eur. J. Heart Fail. 2012;14(7):791–801. doi: 10.1093/eurjhf/hfs058
  28. Dendal P, De Keulenaer G, Troisfontaines P, et al. Effect of a telemonitoring facilitated collaboration between general practitioner and heart failure clinic on mortality and rehospitalization rates in severe heart failure: the TEMA-HF 1 (TElemonitoring in the MAnagement of Heart Failure) study. Eur. J. Heart Fail. 2012;14(3):333–340. doi: 10.1093/eurjhf/hfr144
  29. Inglis SC, Clark RA, Dierckx R, et al. Structured telephone support or non invasive telemonitoring for patients with heart failure. Cochrane Database Syst. Rev. 2015;2015(10):CD007228. doi: 10.1002/14651858.CD007228.pub3
  30. Cowie MR, Bax J, Bruining N, et al. e-Health: a position statement of the European Society of Cardiology. Eur. Heart J. 2016;37(1):63–66. doi: 10.1093/eurheartj/ehv416
  31. Ong MK, Romano PS, Edgington S, et al. Effectiveness of remote patient monitoring after discharge of hospitalized patients with heart failure: the better effectiveness after transition–heart Failure (BEAT-HF) Randomized Clinical Trial. JAMA Intern. Med. 2016;176(3):310–318. doi: 10.1001/jamainternmed.2015.7712
  32. Grebennikova AA, Stoliarov AU, Lopatin YuM. The use of platform for remote monitoring on the base of mobile app for improving self-care in patients with chronic heart failure. Kardiologiia. 2017;57(4S):11–18. EDN: YKUOWF doi: 10.18087/cardio.2413
  33. Koehler F, Koehler K, Deckwart O, et al. Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel group, unmasked trial. The Lancet. 2018;392(10152):1047–1057. doi: 10.1016/S0140-6736(18)31880-4
  34. Mareev YuV, Zinchenko AO, Myasnikov RP, et al. Telemonitoring in patients with chronic heart failure. Kardiologiia. 2019;59(9S):4–15. EDN: ISWIAY doi: 10.18087/cardio.n530
  35. Zhu Y, Gu X, Xu C Effectiveness of telemedicine systems for adults with heart failure: a meta analysis of randomized controlled trials. Heart Fail. Rev. 2020;25(2):231–243. doi: 10.1007/s10741-019-09801-5
  36. Tersalvi G, Winterton D, Cioffi GM, et al. Telemedicine in heart failure during COVID-19: a step into the future. Front. Cardiovasc. Med. 2020;7:612818. doi: 10.3389/fcvm.2020.612818
  37. Nasonova SN, Lapteva AE, Zhirov IV, et al. Remote monitoring of patients with heart failure in real clinical practice. Kardiologiia. 2021;61(8):76–86. (In Russ.) EDN: GRIBYY doi: 10.18087/cardio.2021.8.n1683
  38. Yokota T, Fukushima A, Tsuchihashi Makaya M, et al. The AppCare-HF randomized clinical trial: a feasibility study of a novel self-care support mobile app for individuals with chronic heart failure. Eur. Heart J. - Digit. Health. 2023;4(4):325–336. doi: 10.1093/ehjdh/ztad032
  39. Rao VN, Kaltenbach LA, Granger BB, et al. The Association of Digital Health Application use with heart failure care and outcomes: insights from CONNECT-HF. J. Card. Fail. 2022;28(10):1487–1496. doi: 10.1016/j.cardfail.2022.07.050
  40. Agapov VV, Kudryashov YuY, Graifer IV, Samitin VV. Development and implementation of a heart failure telemonitoring system: the single centre experience. Kardiologiia. 2022;62(5):45–52. EDN: BHAITY doi: 10.18087/cardio.2022.5.n1825
  41. Radhakrishnan K, Julien C, O’Hair M, et al. Sensor controlled digital game for heart failure self management: protocol for a randomized controlled trial. JMIR Res. Protoc. 2023;12:e45801. doi: 10.2196/45801
  42. Lukey A, Mackay M, Hasan K, Rush KL. Clinical perspectives on the development of a gamified heart failure patient education web site. CIN Comput. Inform. Nurs. 2023;41(8):615–620. doi: 10.1097/CIN.0000000000000983
  43. Yun S, Enjuanes C, Cobo M, et al. Effect on cardiovascular mortality and worsening heart failure of mHealth solutions combining telemonitoring and teleintervention: results of the HERMeS multicentre, randomised, controlled trial. In: Heart Failure; 2023 May 20–23; Prague. Unpublished.
  44. Shara N, Bjarnadottir MV, Falah N, et al. Voice activated remote monitoring technology for heart failure patients: Study design, feasibility and observations from a pilot randomized control trial. PLOS ONE. 2022;17(5):e0267794. doi: 10.1371/journal.pone.0267794
  45. Emelianov AV, Zheleznykh EA, Kozhevnikova MV, et al. Quality of life and adherence to therapy in patients with chronic heart failure who were remotely monitored by chatbot compared to the standard follow-up group for 3 months. Digital Diagnostics. 2023;4(1S):53–56. EDN: PPGJTP doi: 10.17816/DD430343
  46. Pyrikova NV, Mozgunov NA, Osipova IV. Results of pilot remote monitoring of heart failure patients. Cardiovascular Therapy and Prevention. 2022;21(6):42–51. EDN: ROTHHY doi: 10.15829/1728-8800-2022-3151
  47. Wohlfahrt P, Jenča D, Melenovský V, et al. Remote heart failure symptoms assessment after myocardial infarction identifies patients at risk for death. J. Am. Heart Assoc. 2024;13(2):e032505. doi: 10.1161/JAHA.123.032505
  48. Stehlik J, Schmalfuss C, Bozkurt B, et al. Continuous wearable monitoring analytics predict heart failure hospitalization: the LINK-HF multicenter study. Circ. Heart Fail. 2020;13(3):e006513. doi: 10.1161/CIRCHEARTFAILURE.119.006513
  49. Potapov AP, Yartsev SE, Lagutova EA. Remote monitoring of patients with chronic heart failure using blood pressure telemonitoring and ECG. Russian Journal of Telemedicine and E-Health. 2021;7(3):42–51. EDN: OFOTQN doi: 10.29188/2712-9217-2021-7-3-42-51
  50. Garanin AA, Mullova IS, Shkaeva OV, et al. Remote monitoring of outpatients discharged from the emergency cardiac care department. Russian Journal of Cardiology. 2022;27(3S):8–15. EDN: BIRQPJ doi: 10.15829/1560-4071-2022-5072
  51. Kleiner Shochat M, Fudim M, Shotan A, et al. Prediction of readmissions and mortality in patients with heart failure: lessons from the IMPEDANCE-HF extended trial. ESC Heart Fail. 2018;5(5):788–799. doi: 10.1002/ehf2.12330
  52. Abraham WT, Anker S, Burkhoff D, et al. Primary results of the sensible medical innovations lung fluid status monitor allows reducing readmission rate of heart failure patients (smile) trial. J. Card. Fail. 2019;25(11):938. doi: 10.1016/j.cardfail.2019.11.007
  53. Bensimhon D, Alali SA, Curran L, et al. The use of the reds noninvasive lung fluid monitoring system to assess readiness for discharge in patients hospitalized with acute heart failure: A pilot study. Heart Lung. 2021;50(1):59–64. doi: 10.1016/j.hrtlng.2020.07.003
  54. Murton OM, Dec GW, Hillman RE, et al. Acoustic voice and speech biomarkers of treatment status during hospitalization for acute decompensated heart failure. Appl. Sci. 2023;13(3):1827. doi: 10.3390/app13031827
  55. Schöbi D, Zhang YP, Kehl J, et al. Evaluation of speech and pause alterations in patients with acute and chronic heart failure. J. Am. Heart Assoc. 2022;11(21):e027023. doi: 10.1161/JAHA.122.027023
  56. Atluri N, Mishra SR, Anderson T, et al. Acceptability of a text message based mobile health intervention to promote physical activity in cardiac rehabilitation enrollees: a qualitative substudy of participant perspectives. J. Am. Heart Assoc. 2024;13(2):e030807. doi: 10.1161/JAHA.123.030807
  57. Rossetto F, Borgnis F, Isernia S, et al. System integrated digital empowering and telerehabilitation to promote patient activation and well being in chronic disabilities: a usability and acceptability study. Front. Public Health. 2023;11:1154481. doi: 10.3389/fpubh.2023.1154481
  58. Piotrowicz E, Pencina MJ, Opolski G, et al. Effects of a 9 week hybrid comprehensive telerehabilitation program on long term outcomes in patients with heart failure: the telerehabilitation in heart failure patients (TELEREH-HF) randomized clinical trial. JAMA Cardiol. 2020;5(3):300–308. doi: 10.1001/jamacardio.2019.5006
  59. Dinesen B, Hansen ET, Refsgaard J, et al. «Future patient II» telerehabilitation for patients with heart failure: protocl for a randomized controlled trial. Int. J. Cardiol. Cardiovasc. Risk Prev. 2024;20:200239. doi: 10.1016/j.ijcrp.2024.200239
  60. Ghazi L, Yamamoto Y, Fuery M, et al. Electronic health record alerts for management of heart failure with reduced ejection fraction in hospitalized patients: the PROMPT-AHF trial. Eur. Heart J. 2023;44(40):4233–4242. doi: 10.1093/eurheartj/ehad512
  61. Day S, Shah V, Kaganoff S, et al. Assessing the clinical robustness of digital health startups: cross sectional observational analysis. J. Med. Internet Res. 2022;24(6):e37677. doi: 10.2196/37677

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1. JATS XML
2. Supplement 1. The most valuable studies in non-invasive remote monitoring in patient with chronic heart failure
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3. Supplement 2. The modern directions of non-invasive remote monitoring in patient with chronic heart failure
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4. Fig. 1. A modern noninvasive telemonitoring model.

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