Evidence map›Paper›PMID 34273284›Full record

ArticleThe American journal of medicine2021

Cardiovascular Health Metrics in Patients Hospitalized with an Acute Coronary Syndrome.

Eric Y Ding, Jordy Mehawej, Hawa Abu, Darleen Lessard, Jane S Saczynski, David D McManus, Catarina I Kiefe, Robert J Goldberg

Open access · greenAbstract read
In one paragraph

Article in The American journal of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 2 countries.

Eric Y DingDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester; Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester. Electronic address: eric.ding@umassmed.edu.
Jordy MehawejDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester.
Hawa AbuDepartment of Medicine, St. Vincent's Hospital, Worcester, Mass.
Darleen LessardDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester.
Jane S SaczynskiDepartment of Pharmacy and Health Systems Sciences, Northeastern University, Boston, Mass.
David D McManusDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester; Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester.
Catarina I KiefeDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester.
Robert J GoldbergDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester.
University of Massachusetts Chan Medical School · USNortheastern University · USThe Catholic University of Korea St. Vincent's Hospital · KR

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Nathaniel Scott Hafer · 2018 to 2026
$141.0M
RURAL: Risk Underlying Rural Areas Longitudinal Cohort StudyU01HL146382 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JUDD, SUZANNE E, RAMACHANDRAN, VASAN · 2019 to 2025
$42.5M
TRACE-COREU01HL105268 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2010 to 2013
$5.8M
Transdisciplinary Training In Cardiovascular ResearchT32HL120823 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DONAHUE, J KEVIN, KIEFE, CATARINA I. · 2014 to 2025
$3.9M
Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
Community Surveillance of Coronary Heart DiseaseR01HL135219 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GOLDBERG, ROBERT JOEL, YU, HONG · 2017 to 2020
$3.2M
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
Feasibility of Smartwatches for Atrial Fibrillation Detection in Older AdultsF30HL149335 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DING, ERIC YUXIAO · 2019 to 2021
$92k
NHLBI NIH HHS F30 HL149335NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL135219NHLBI NIH HHS R01 HL136660NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS T32 HL120823NHLBI NIH HHS U01 HL105268NHLBI NIH HHS U01 HL146382NHLBI NIH HHS U54 HL143541
6 · The paper itself

Abstract

backgroundThe Life's Simple 7 (LS7) is a guiding metric for primordial/primary prevention of cardiovascular disease. However, little is known about the prevalence and distribution of LS7 metrics in patients with an acute coronary syndrome at the time of hospitalization.

methodsData were obtained from patients hospitalized for an acute coronary syndrome at 6 hospitals in Central Massachusetts and Georgia (2011-2013). The LS7 assessed patient's smoking, diet, and physical activity based on self-reported measures, and patients' body mass index, blood pressure, and serum cholesterol and glucose levels were abstracted from medical records. All items were operationalized into 3 categories: poor (0), intermediate (1), or ideal (2). A total summary cardiovascular health score (0-14) was obtained and categorized into tertiles (0-5, 6-7, and 8-14).

resultsThe average age of study participants (n = 1110) was 59.6 years and 35% were women. Cardiovascular health scores ranged from 0-12 (mean = 6.2). Patients with higher scores were older, white, had lower burden of comorbidities, had fewer symptoms of anxiety, depression, and stress, better quality of life, more social support, and greater healthcare activation. One-third of patients had only 1 ideal cardiovascular health measure, less than 1% had 5, and no participant had more than 5 ideal factors.

conclusionsOur results indicate that patients with acute coronary syndrome have poor cardiovascular health. Sociodemographic, clinical, and psychosocial characteristics differed across cardiovascular health groups. These findings highlight potential areas for educational and therapeutic interventions to reduce the risk of cardiovascular disease and promote cardiovascular health in adult men and women.

Indexed as

Blood PressureBody Mass IndexExerciseAcute Coronary SyndromeAgedAnxietyBlood GlucoseCholesterolDepressionDietFemaleHospitalizationHumansMaleMiddle AgedQuality of LifeBlood GlucoseCholesterolAcute coronary syndromeCardiovascular healthSimple 7

Identifiers

PMID34273284
PMCPMC8605989
OpenAlexW3178126007

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.