Remote monitoring of patients with chronic heart failure: A prospective randomized study

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Abstract

BACKGROUND: Chronic heart failure is one of the key problems of the Russian domestic healthcare system. E-health can be used to improve medical care quality and reduce the of hospitalizations and mortality.

AIM: To examine the effect of telemedicine monitoring on mortality, frequency of hospitalizations, and clinical and functional states of patients with chronic heart failure.

MATERIALS AND METHODS: A prospective, controlled, randomized study was conducted in the Central City Hospital No. 20 in Ekaterinburg (Russia), covering the period from December 2020 to December 2022. Patients with a confirmed diagnosis of chronic heart failure were randomized using the envelope method into three groups: group 1, a telephone control group (n=58); group 2, a remote control group using a Russian medical platform Medsenger (n=52); and group 3, the standard control group (n=103). All patients were examined, including NT-proBNP measurement and echocardiography on the first day of the study and at 3, 6, and 12 months. The occurrence of primary and secondary outcomes was evaluated at these reference points. Stata14 and jamovi software were used for statistical processing.

RESULTS: The study involved 213 participants, and all three groups were comparable in terms of basic demographic and clinical characteristics. The advantage of remote control (groups 1 and 2) over face-to-face observation in reducing cardiovascular mortality was observed after 3 (odds ratio 2.73, 95% confidence interval 1.1–7.39; p=0.042) and 12 (odds ratio 2.1, 95% confidence interval 1.1–3.7; p=0.027) months and that in reducing the occurrence of the combined primary endpoint (odds ratio 2.1, 95% confidence interval 1.1–5.6; p=0.015) after 12 months. The use of the Medsenger platform also demonstrated an advantage over face-to-face observation in the development of the combined secondary endpoint (odds ratio 1.39, 95% confidence interval 0.19–0.81; p=0.011) after 3 months and over telephone control by a nurse after 12 months in reducing cardiovascular mortality (odds ratio 0.177, 95% confidence interval 0.06–0.487; p=0.021) and development of the combined secondary endpoint (odds ratio 0.427, 95% confidence interval 0.189–0.964; p=0.041). When using the Medsenger platform, the ejection fraction increased from 47% initially to 55% after 12 months (p=0.004). The NT-proBNP level decreased from 817 to 582 pg/mL (p <0.001) after 3 months and then to 233 pg/mL after 12 months (p <0.001).

CONCLUSION: Remote monitoring protocols can be a good alternative to the traditional face-to-face monitoring of patients with chronic heart failure, which may improve clinical and functional health indicators.

About the authors

Anna V. Isaeva

Ural State Medical University

Email: av_isaeva_cgb20@mail.ru
ORCID iD: 0000-0003-0634-9759
SPIN-code: 5178-6596

MD, Cand. Sci. (Medicine)

Russian Federation, Ekaterinburg

Alexandra E. Demkina

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies

Email: ademkina@bk.ru
ORCID iD: 0000-0001-8004-9725
SPIN-code: 4657-5501

MD, Cand. Sci (Medicine)

Russian Federation, Moscow

Anton V. Vladzymyrskyy

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies

Email: a.vladzimirskiy@npcmr.ru
ORCID iD: 0000-0002-2990-7736
SPIN-code: 3602-7120

MD, Dr. Sci. (Medicine)

Russian Federation, Moscow

Boris V. Zingerman

iPat LLC

Email: boriszing@gmail.com
ORCID iD: 0000-0002-1855-1834
SPIN-code: 5914-9174
Russian Federation, Moscow

Anna N. Korobeynkova

Center of Cardiology and Neurology

Author for correspondence.
Email: anna_best2004@mail.ru
ORCID iD: 0000-0002-8934-7021
SPIN-code: 9728-9583

MD, Cand. Sci. (Medicine)

Russian Federation, Kirov

Alexandr N. Bykov

Sverdlovsk Regional Hospital 1

Email: sashacor83@yandex.ru
ORCID iD: 0000-0003-0787-7908
SPIN-code: 6423-7610

MD, Cand. Sci. (Medicine)

Russian Federation, Ekaterinburg

Olga G. Smolenskaya

Ural State Medical University

Email: osmolenskaya@mail.ru
ORCID iD: 0000-0002-0705-6651
SPIN-code: 5443-9382

Dr. Sci. (Medicine), Professor

Russian Federation, Ekaterinburg

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Supplementary files

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1. JATS XML
2. Fig. 1. Study of outpatient monitoring type (remote/face-to-face) of conical points after 3 months. CHF – chronic heart failure.

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3. Fig. 2. Impact of the type of outpatient monitoring (remote/face-to-face) on endpoints after 6 months. CHF – chronic heart failure.

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4. Fig. 3. Impact of the type of outpatient follow-up (remote/face-to-face) on endpoints after 12 months. CHF – chronic heart failure.

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5. Fig. 4. Dynamics of changes in left ventricular ejection fraction in patients of the study groups. Group 1 — telephone follow-up group (n=58); Group 2 — follow-up group on the Medsenger medical platform (n=52); Group 3 — standard follow-up group (n=103).

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6. Fig. 5. Dynamics of changes in NT-proBNP concentration in patients with different forms of dispensary observation: Remote DN - combined group of remote dispensary observation (1 and 2, n=110); in-person DN - standard dispensary observation group (n=103).

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7. Fig. 6. Dynamics of changes in NT-proBNP concentration in patients of the study groups: Group 1 — telephone follow-up group (n=58); Group 2 — follow-up group on the Medsenger medical platform (n=52); Group 3 — standard follow-up group (n=103).

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