Evidence map›Paper›PMID 32964212›Full record

ArticleAmerican journal of preventive cardiology2020

Early blood pressure assessment after acute myocardial infarction: Insights using digital health technology.

Rongzi Shan, Jie Ding, Daniel Weng, Erin M Spaulding, Shannon Wongvibulsin, Matthias A Lee, Ryan Demo, Francoise A Marvel, Seth S Martin

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03760796 (The Johns Hopkins Myocardial Infarction, COmbined-device, Recovery Enhancement), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 32% 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.

NCT03760796 nacompletednot on this map

The Johns Hopkins Myocardial Infarction, COmbined-device, Recovery Enhancement (MiCORE) Study

TypeinterventionalSponsorJohns Hopkins UniversityRan2016 to 2019Enrolled200ConditionsAcute Myocardial Infarction, Coronary Artery Disease, Acute Coronary Syndrome, Myocardial InfarctionArmsCorrie Health Digital Platform
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. The emerging role of digital health in the management of asthma.Therapeutic advances in chronic disease · 2023
    Review
  4. Review
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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

9 authors at 3 institutions in 1 country.

Rongzi ShanDigital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Jie DingDigital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Daniel WengJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Erin M SpauldingDigital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Shannon WongvibulsinJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Matthias A LeeJohns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
Ryan DemoJohns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
Francoise A MarvelDigital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Seth S MartinDigital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Johns Hopkins University · USCenter for Innovation · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is rising interest in digital health in preventive cardiology, particularly for blood pressure (BP) management. In a digital health study of early BP assessment following acute myocardial infarction (AMI), we sought to examine feasibility and the (1) proportion of post-AMI patients with controlled BP and hypotension, and (2) association between prior cardiovascular disease (CVD) and BP post-AMI.

methodsIn this substudy of the parent Myocardial infarction, COmbined-device, Recovery Enhancement (MiCORE) study, type 1 AMI patients were enrolled between October 2017 and April 2019. Participants self-monitored their BP through 30 days after hospital discharge using an FDA-approved wireless BP monitor connected with a smartphone application. Linear mixed-effects models assessed the association between prior CVD and BP trajectory post-discharge, adjusting for antihypertensive medications and a propensity score inclusive of CVD risk factors.

resultsSixty-eight AMI patients (mean age 58 ​± ​10 years, 75% male, 68% white race, 68% history of hypertension, 24% prior CVD) provided 2638 measurements over 30 days. The percentage of BP control <130/80 ​mmHg was 59.6% (95% CI: 54.3-64.9%) and <140/90 ​mmHg was 83.7% (95% CI: 80.3-87.2%). The percentage of systolic BP ​<90 ​mmHg was 1.1% (95% CI: 0.17-2.0%) and the percentage of diastolic BP ​<60 ​mmHg was 3.9% (95% CI: 2.6-5.2%). Prior CVD was associated with 12.2 ​mmHg higher mean daily systolic BP during admission (95% CI: 3.5-20.9 ​mmHg), which persisted over follow-up. There was no association between prior CVD and diastolic BP.

conclusionThe digital health program was feasible and ~40% of post-AMI patients who engaged in it had uncontrolled BP according to recent guideline cutpoints, while hypotension occurred rarely. The gap in BP control was especially large in patients in whom AMI represented recurrent CVD. These data suggest an opportunity for more aggressive secondary prevention early after MI as care models integrate digital health.

Indexed as

Blood pressureDigital healthMyocardial infarctionSecondary preventionSmartphone

Identifiers

PMID32964212
PMCPMC7497394
OpenAlexW3088171527

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.