Evidence map›Paper›PMID 33619893›Full record

ArticleESC heart failure2021

Multiparameter diagnostic sensor measurements during clinically stable periods and worsening heart failure in ambulatory patients.

Roy S Gardner, Pramodsingh Thakur, Eric F Hammill, Devi G Nair, Zayd Eldadah, Branislav Stančák, Kevin Ferrick, Charn Sriratanasathavorn, Gábor Zoltán Duray, Ramesh Wariar and 4 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Predicting worsening heart failure hospitalizations in patients with implantable cardioverter defibrillators: is it all about alerts? A pooled analysis of nine trials.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Article
  9. Review
  10. Observational
  11. Article
  12. HeartLogic™: real-world data-efficiency, resource consumption, and workflow optimization.European heart journal supplements : journal of the European Society of Cardiology · 2023
    Article
  13. Article
  14. Review
  15. Performance of a HeartLogicFrontiers in cardiovascular medicine · 2022
    Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 5 countries.

Roy S GardnerGolden Jubilee National Hospital, Clydebank, UK.
Pramodsingh ThakurBoston Scientific, Arden Hills, MN, USA.
Eric F HammillBoston Scientific, Arden Hills, MN, USA.
Devi G NairCardiology Associates of North-East Arkansas, Jonesboro, AR, USA.
Zayd EldadahWashington Hospital Center, Washington, DC, USA.
Branislav StančákEast-Slovak Institute of Cardiovascular Diseases, Kosice, Slovak Republic.
Kevin FerrickMontefiore Medical Center, Bronx, NY, USA.
Charn SriratanasathavornHer Majesty Cardiac Center, Siriraj, Thailand.
Gábor Zoltán DurayMedical Center, Hungarian Defense Forces, Budapest, Hungary.
Ramesh WariarBoston Scientific, Arden Hills, MN, USA.
Yi ZhangBoston Scientific, Arden Hills, MN, USA.
Qi AnBoston Scientific, Arden Hills, MN, USA.
Viktoria AverinaBoston Scientific, Arden Hills, MN, USA.
John P BoehmerPenn State Milton S Hershey Medical Center, Hershey, PA, USA.
Boston Scientific (United States) · USArkansas Biosciences Institute · USGolden Jubilee National Hospital · GBMedStar Washington Hospital Center · USMontefiore Medical Center · USPenn State Milton S. Hershey Medical Center · USSan Diego Cardiac Center · USSlovak Academy of Sciences · SKZrínyi Miklós National Defence University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aims to characterize the range of implantable device-based sensor values including heart sounds, markers of ventilation, thoracic impedance, activity, and heart rate for patients with heart failure (HF) when patients were deemed to be in clinically stable periods against the time course of acute decompensation and recovery from HF events. METHODS AND

resultsThe MultiSENSE trial followed 900 patients implanted with a COGNIS CRT-D for up to 1 year. Chronic, ambulatory diagnostic sensor data were collected and evaluated during clinically stable periods (CSP: unchanged NYHA classification, no adverse events, and weight change ≤2.27 kg), and in the timeframe leading up to and following HF events (HF admissions or unscheduled visits with intravenous HF treatment). Physiologic sensor data from 1667 CSPs occurring in 676 patients were compared with those data leading up to and following 192 HF events in 106 patients. Overall, the mean age was 66.6 years, and the population were predominantly male (73%). Patients were primarily in NYHA II (67%), with a mean LVEF of 29.6% and median NT-proBNP of 754.5 pg/mL. Sensor values during CSP were poorer in patients who had HF events during the study period than those without HF events, including first heart sound (S1: 2.18 ± 0.84 mG vs. 2.62 ± 0.95 mG, P = 0.002), third heart sound (S3: 1.13 ± 0.36 mG vs. 0.91 ± 0.30 mG, P < 0.001), thoracic impedance (45.66 ± 8.78 Ohm vs. 50.33 ± 8.43 Ohm, P < 0.001), respiratory rate (19.09 ± 3.10 br/min vs. 17.66 ± 2.39 br/min, P = 0.002), night time heart rate (73.39 ± 8.36 b.p.m. vs. 69.56 ± 8.09 b.p.m., P = 0.001), patient activity (1.69 ± 1.84 h vs. 2.56 ± 2.20 h, P = 0.006), and HeartLogic index (11.07 ± 12.14 vs. 5.31 ± 5.13, P = 0.001). Sensor parameters measured worsening status leading up to HF events with recovery of values following treatment.

conclusionsDevice-based physiologic sensors not only revealed progressive worsening leading up to HF events but also differentiated patients at increased risk of HF events when presumed to be clinically stable.

Indexed as

Heart FailureAgedHeart RateHospitalizationHumansMaleAmbulatory monitoringCRTDecompensationHeart failurePrognostication

Identifiers

PMID33619893
PMCPMC8006698
OpenAlexW3132267410

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.