Evidence map›Paper›PMID 35872137›Full record

Observational studyJournal of cardiovascular computed tomography

Association of left ventricular diastolic function with coronary artery calcium score: A Project Baseline Health Study.

Francois Haddad, Nicholas Cauwenberghs, Melissa A Daubert, Yukari Kobayashi, Gerald S Bloomfield, Dominik Fleischman, Lynne Koweek, David J Maron, Fatima Rodriguez, Yaping Joyce Liao and 10 more

Registry-linked trialOpen access · bronzeAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of cardiovascular computed tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03154346 (Project Baseline Health Study), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 14% 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.

NCT03154346 active not recruitingnot on this map

Project Baseline Health Study

Typeobservational_patient_registrySponsorBaseline Study LLCRan2017 to 2024Enrolled10,000ConditionsAll
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

20 authors at 3 institutions in 2 countries.

Francois HaddadDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: fhaddad@stanford.edu.
Nicholas CauwenberghsStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Melissa A DaubertDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Yukari KobayashiStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Gerald S BloomfieldDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Dominik FleischmanStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Lynne KoweekDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
David J MaronDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Stanford Prevention Research Center, Stanford University, Palo Alto, CA, USA.
Fatima RodriguezDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Yaping Joyce LiaoDepartments of Ophthalmology and Neurology, Stanford University School of Medicine, Stanford, CA, USA.
Kegan MoneghettiDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Myriam AmsallemDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Jessica MegaVerily Inc., South San Francisco, CA, USA.
Adrian HernandezDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Robert CaliffVerily Inc., South San Francisco, CA, USA.
Kenneth W MahaffeyDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Stanford Center for Clinical Research (SCCR); Department of Medicine, Stanford School of Medicine, Stanford, CA, USA.
Svati H ShahDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Tatiana KuznetsovaStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Pamela S DouglasDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Project Baseline Health Study Investigators
Cardiovascular Institute of the South · USDuke University · USStanford University · US

Funding

REPRIEVE COVID-19 Administrative SupplementU01HL123336 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI DOUGLAS, PAMELA SUSAN, GRINSPOON, STEVEN K. · 2014 to 2021
$52.4M
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
Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Vanderbilt-Emory-Cornell-Duke Global Health Fellowship Consortium-Expanding Diversity for Global Equity (EDGE)D43TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALIYU, MUKTAR HASSAN, HEIMBURGER, DOUGLAS CORBETT · 2017 to 2021
$6.3M
Assess and Adapt to the Impact of COVID-19 on CVD Self Management and Prevention Care in Adults Living with HIV (AAIM-High)U01HL142099 · NHLBI · UNIVERSITY OF WASHINGTON · PI BOSWORTH, HAYDEN B, LONGENECKER, CHRIS TODD · 2018 to 2021
$4.8M
Pathways to cardiovascular disease prevention and impact of specialty referral in under-represented racial/ethnic minorities with HIVR01MD013493 · NIMHD · DUKE UNIVERSITY · PI BLOOMFIELD, GERALD SAMUEL · 2018 to 2022
$3.3M
The Aga Khan University Pakistan Initiative for Non-Communicable Diseases (AKUPI-NCDs) Research Training ProgramD43TW011625 · FIC · AGA KHAN UNIVERSITY (PAKISTAN) · PI Gerald Samuel Bloomfield, Zainab Samad · 2021 to 2026
$1.4M
FIC NIH HHS D43 TW009337FIC NIH HHS D43 TW011625NEI NIH HHS P30 EY026877NHLBI NIH HHS U01 HL123336NHLBI NIH HHS U01 HL142099NHLBI NIH HHS U01 HL146382NIMHD NIH HHS R01 MD013493
6 · The paper itself

Abstract

backgroundCoronary artery calcium (CAC) and left ventricular diastolic dysfunction (LVDD) are strong predictors of cardiovascular events and share common risk factors. However, their independent association remains unclear.

methodsIn the Project Baseline Health Study (PBHS), 2082 participants underwent cardiac-gated, non-contrast chest computed tomography (CT) and echocardiography. The association between left ventricular (LV) diastolic function and CAC was assessed using multidimensional network and multivariable-adjusted regression analyses. Multivariable analysis was conducted on continuous LV diastolic parameters and categorical classification of LVDD and adjusted for traditional cardiometabolic risk factors. LVDD was defined using reference limits from a low-risk reference group without established cardiovascular disease, cardiovascular risk factors or evidence of CAC, (n ​= ​560). We also classified LVDD using the American Society of Echocardiography recommendations.

resultsThe mean age of the participants was 51 ​± ​17 years with 56.6% female and 62.6% non-Hispanic White. Overall, 38.1% had hypertension; 13.7% had diabetes; and 39.9% had CAC >0. An intertwined network was observed between diastolic parameters, CAC score, age, LV mass index, and pulse pressure. In the multivariable-adjusted analysis, e', E/e', and LV mass index were independently associated with CAC after adjustment for traditional risk factors. For both e' and E/e', the effect size and statistical significance were higher across increasing CAC tertiles. Other independent correlates of e' and E/e' included age, female sex, Black race, height, weight, pulse pressure, hemoglobin A1C, and HDL cholesterol. The independent association with CAC was confirmed using categorical analysis of LVDD, which occurred in 554 participants (26.6%) using population-derived thresholds.

conclusionIn the PBHS study, the subclinical coronary atherosclerotic disease burden detected using CAC scoring was independently associated with diastolic function. CLINICALTRIALS: GOV IDENTIFIER: NCT03154346.

Indexed as

Coronary Artery DiseaseVentricular Dysfunction, LeftAdultAgedCalciumDiastoleFemaleHeart VentriclesHumansMaleMiddle AgedPredictive Value of TestsVentricular Function, LeftCalciumBlood pressureCardiovascular diseaseCoronary artery calciumCoronary artery diseaseHeart failureHypertensionLeft ventricular diastolic dysfunction

Identifiers

PMID35872137
PMCPMC10870833
OpenAlexW4283820197

What OpenQuestion holds

Textmetadata
LicenceTDM
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.