Cited by 15Cardiovascular Function and Risk FactorsDiabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Disease and Adiposity

Predictors of diastolic dysfunction among minority patients with newly diagnosed type 2 diabetes

Open access
Kazlauskaite, Rasa, Doukky, Rami, Evans, Arthur, Margeta, Bosko, Ruchi, Arora, Fogelfeld, Leon, Kelly, Russell F.·2010·Diabetes Research and Clinical Practice

Abstract

Aim To determine mutable risk factors for asymptomatic diastolic dysfunction in ethnic minority patients newly diagnosed with type 2 diabetes.Methods We recruited consecutive adults with newly diagnosed diabetes who had no signs or symptoms or history of heart disease. All patients received standardized evaluation including interview, physical examination, laboratory tests and echocardiogram with tissue Doppler studies. We used logistic regression models to identify mutable risk factors for diastolic dysfunction.Results Among 126 study subjects (52% women, age 45+/-10 years, BMI 33+/-7, 42% with hypertension, 100% ejection fraction > or =50%), evidence of diastolic dysfunction was present in 64 (51%). After controlling for age, heart rate and blood pressure, independent predictors of diastolic dysfunction included physical inactivity (OR: 2.3; 95% CI: 0.9-6.1; P=0.08) and glucose (OR: 4.9; 95% CI: 1.4-17.8; P=0.02). Physical inactivity was associated with early diastolic dysfunction (impaired relaxation), whereas epicardial fat thickness and glucose levels were associated with late diastolic dysfunction (impaired compliance). The hs-CRP and BNP levels were not associated with diastolic dysfunction.Conclusions Asymptomatic diastolic dysfunction was prevalent among urban minority patients newly diagnosed with diabetes. Important differences exist among factors that affect early and late diastolic function that may have prognostic and therapeutic implications.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.diabres.2009.12.007

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kazlauskaite, R., Doukky, R., Evans, A., Margeta, B., Ruchi, A., Fogelfeld, L., & Kelly, R. F.
Affiliations
  • Rush University Medical Center (US)
  • University of Illinois Chicago (US)
Venue
Diabetes Research and Clinical Practice
Publisher
Elsevier BV
Published
2010-05
Volume
88
Issue
2
Pages
189-195
ISSN
0168-8227 (ISSN-L)
OpenAlex
W2089312297
Cited by
15
References
26
Citations by year
2024: 2 · 2022: 1 · 2021: 1 · 2020: 3 · 2018: 1 · 2017: 1 · 2014: 2
FWCI
0.88
Type
journal article
Language
en
Open access
Locations
  • Diabetes Research and Clinical Practice (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Heart, Lung, and Blood Institute (P50HL105189)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
Keywords
diastolic dysfunction, type 2 diabetes, newly diagnosed diabetes, ethnic minority patients, physical inactivity, blood glucose, epicardial fat thickness, early diastolic dysfunction, tissue Doppler imaging, cardiovascular risk factors
MeSH terms
Adult, Diabetes Mellitus, Type 2, Diastole, Female, Humans, Hypertension, Male, Middle Aged, Motor Activity, Cardiomyopathies, Pericardium, Regression Analysis, Risk Factors, Stroke Volume, Intra-Abdominal Fat

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review