Evidence map›Paper›PMID 25543319›Full record

ArticleHeart & lung : the journal of critical care

Stratifying patients at the risk of heart failure hospitalization using existing device diagnostic thresholds.

Vinod Sharma, Lisa D Rathman, Roy S Small, David J Whellan, Jodi Koehler, Eduardo Warman, William T Abraham

Abstract read
In one paragraph

Article in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Vinod SharmaMedtronic Inc., Minneapolis, MN, USA. Electronic address: vinod.sharma@medtronic.com.
Lisa D RathmanLancaster General Hospital, Lancaster, PA, USA.
Roy S SmallLancaster General Hospital, Lancaster, PA, USA.
David J WhellanSidney Kimmel Medical College, Philadelphia, PA, USA.
Jodi KoehlerMedtronic Inc., Minneapolis, MN, USA.
Eduardo WarmanMedtronic Inc., Minneapolis, MN, USA.
William T AbrahamOhio State University Heart and Vascular Center, Columbus, OH, USA.

Funding

TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
NIBIB NIH HHS U54 EB020404
6 · The paper itself

Abstract

backgroundHeart failure hospitalizations (HFHs) cost the US health care system ∼$20 billion annually. Identifying patients at risk of HFH to enable timely intervention and prevent expensive hospitalization remains a challenge. Implantable cardioverter defibrillators (ICDs) and cardiac resynchronization devices with defibrillation capability (CRT-Ds) collect a host of diagnostic parameters that change with HF status and collectively have the potential to signal an increasing risk of HFH. These device-collected diagnostic parameters include activity, day and night heart rate, atrial tachycardia/atrial fibrillation (AT/AF) burden, mean rate during AT/AF, percent CRT pacing, number of shocks, and intrathoracic impedance. There are thresholds for these parameters that when crossed trigger a notification, referred to as device observation, which gets noted on the device report. We investigated if these existing device observations can stratify patients at varying risk of HFH.

methodsWe analyzed data from 775 patients (age: 69 ± 11 year, 68% male) with CRT-D devices followed for 13 ± 5 months with adjudicated HFHs. HFH rate was computed for increasing number of device observations. Data were analyzed by both excluding and including intrathoracic impedance. HFH risk was assessed at the time of a device interrogation session, and all the data between previous and current follow-up sessions were used to determine the HFH risk for the next 30 days.

results2276 follow-up sessions in 775 patients were evaluated with 42 HFHs in 37 patients. Percentage of evaluations that were followed by an HFH within the next 30 days increased with increasing number of device observations. Patients with 3 or more device observations were at 42× HFH risk compared to patients with no device observation. Even after excluding intrathoracic impedance, the remaining device parameters effectively stratified patients at HFH risk.

conclusionAvailable device observations could provide an effective method to stratify patients at varying risk of heart failure hospitalization.

Indexed as

Defibrillators, ImplantableAgedAged, 80 and overAtrial FibrillationElectric CountershockFemaleHeart FailureHeart RateHospitalizationHumansMaleMiddle AgedRiskAmbulatory monitoringHeart failureHeart failure hospitalizationImplantable device diagnosticsIntrathoracic impedance

Identifiers

PMID25543319
PMCPMC4390994

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.