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Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus

BACKGROUND: Subclinical LV dysfunction (LVD) identifies heart failure (HF) risk in type 2 diabetes mellitus (T2DM). We sought the extent to which clinical scores (ARIC-HF, WATCH-DM), natriuretic peptides (NTpBNP) and troponin (hs-TnT) were associated with subclinical LV dysfunction (LVD). These asso...

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Autores principales: Halabi, Amera, Potter, Elizabeth, Yang, Hilda, Wright, Leah, Sacre, Julian W., Shaw, Jonathan E., Marwick, Thomas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737699/
https://www.ncbi.nlm.nih.gov/pubmed/36494683
http://dx.doi.org/10.1186/s12933-022-01711-5
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author Halabi, Amera
Potter, Elizabeth
Yang, Hilda
Wright, Leah
Sacre, Julian W.
Shaw, Jonathan E.
Marwick, Thomas H.
author_facet Halabi, Amera
Potter, Elizabeth
Yang, Hilda
Wright, Leah
Sacre, Julian W.
Shaw, Jonathan E.
Marwick, Thomas H.
author_sort Halabi, Amera
collection PubMed
description BACKGROUND: Subclinical LV dysfunction (LVD) identifies heart failure (HF) risk in type 2 diabetes mellitus (T2DM). We sought the extent to which clinical scores (ARIC-HF, WATCH-DM), natriuretic peptides (NTpBNP) and troponin (hs-TnT) were associated with subclinical LV dysfunction (LVD). These associations could inform the ability of these tests to identify which patients should undergo echocardiography. METHODS: Participants with T2DM were prospectively recruited from three community-based populations. ARIC-HF risk at 4 years and WATCH-DM scores were calculated from clinical data. NTpBNP and hs-TnT were measured using an electro-chemiluminescence assay. All underwent a comprehensive echocardiogram. We calculated the sensitivity and specificity of clinical scores and biomarkers to identify abnormal global longitudinal strain (GLS ≥ −16%)), diastolic function (E/e’ ≥ 14 or e’ < 8 cm/s), left atrial volume index (LAV > 34 ml/m(2)) and LV hypertrophy (LV mass index > 88 g/m(2) (F) > 102 g/m(2)(M)). RESULTS: Of 804 participants (median age 69 years [inter-quartile range (IQR) 65–73], 36% female), clinical scores suggested significant HF risk (median ARIC-HF 8% [IQR 4–12]; WATCH-DM 10 points [IQR 8–12]), and the median NTpBNP was 50 pg/mL [IQR 25–101] and hs-TnT 9.6 pg/mL [IQR 6.8–13.6]. Abnormal GLS was present in 126 (17%), elevated E/e’ in 114 (15%), impaired e’ in 629 (78%), increased LAV in 351 (44%) and LV hypertrophy in 113 (14%). After adjustments for age, body-mass index, and renal function, each standard deviation increase in NTpBNP was associated with a GLS increase of 0.32 (p < 0.001) and hs-TnT increase by 0.26 (p < 0.001). Similar trends were observed with ARIC-HF (standardised β = 0.22, p < 0.001) and WATCH-DM (standardised β = 0.22, p < 0.001) in univariable analyses. However, none of the risk assessment tools provided satisfactory discrimination for abnormal GLS (AUC 63%), diastolic indices (e’ AUC 54–61%) or LV mass (AUC 59–67%). At a sensitivity of 90%, there was an unacceptably low (< 50%) specificity. CONCLUSION: Although risk assessment based on clinical scores or biomarkers would be desirable to stratify HF risk in people with T2DM, they show a weak relationship with subclinical LVD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01711-5.
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spelling pubmed-97376992022-12-11 Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus Halabi, Amera Potter, Elizabeth Yang, Hilda Wright, Leah Sacre, Julian W. Shaw, Jonathan E. Marwick, Thomas H. Cardiovasc Diabetol Research BACKGROUND: Subclinical LV dysfunction (LVD) identifies heart failure (HF) risk in type 2 diabetes mellitus (T2DM). We sought the extent to which clinical scores (ARIC-HF, WATCH-DM), natriuretic peptides (NTpBNP) and troponin (hs-TnT) were associated with subclinical LV dysfunction (LVD). These associations could inform the ability of these tests to identify which patients should undergo echocardiography. METHODS: Participants with T2DM were prospectively recruited from three community-based populations. ARIC-HF risk at 4 years and WATCH-DM scores were calculated from clinical data. NTpBNP and hs-TnT were measured using an electro-chemiluminescence assay. All underwent a comprehensive echocardiogram. We calculated the sensitivity and specificity of clinical scores and biomarkers to identify abnormal global longitudinal strain (GLS ≥ −16%)), diastolic function (E/e’ ≥ 14 or e’ < 8 cm/s), left atrial volume index (LAV > 34 ml/m(2)) and LV hypertrophy (LV mass index > 88 g/m(2) (F) > 102 g/m(2)(M)). RESULTS: Of 804 participants (median age 69 years [inter-quartile range (IQR) 65–73], 36% female), clinical scores suggested significant HF risk (median ARIC-HF 8% [IQR 4–12]; WATCH-DM 10 points [IQR 8–12]), and the median NTpBNP was 50 pg/mL [IQR 25–101] and hs-TnT 9.6 pg/mL [IQR 6.8–13.6]. Abnormal GLS was present in 126 (17%), elevated E/e’ in 114 (15%), impaired e’ in 629 (78%), increased LAV in 351 (44%) and LV hypertrophy in 113 (14%). After adjustments for age, body-mass index, and renal function, each standard deviation increase in NTpBNP was associated with a GLS increase of 0.32 (p < 0.001) and hs-TnT increase by 0.26 (p < 0.001). Similar trends were observed with ARIC-HF (standardised β = 0.22, p < 0.001) and WATCH-DM (standardised β = 0.22, p < 0.001) in univariable analyses. However, none of the risk assessment tools provided satisfactory discrimination for abnormal GLS (AUC 63%), diastolic indices (e’ AUC 54–61%) or LV mass (AUC 59–67%). At a sensitivity of 90%, there was an unacceptably low (< 50%) specificity. CONCLUSION: Although risk assessment based on clinical scores or biomarkers would be desirable to stratify HF risk in people with T2DM, they show a weak relationship with subclinical LVD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01711-5. BioMed Central 2022-12-09 /pmc/articles/PMC9737699/ /pubmed/36494683 http://dx.doi.org/10.1186/s12933-022-01711-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Halabi, Amera
Potter, Elizabeth
Yang, Hilda
Wright, Leah
Sacre, Julian W.
Shaw, Jonathan E.
Marwick, Thomas H.
Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
title Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
title_full Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
title_fullStr Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
title_full_unstemmed Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
title_short Association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
title_sort association of biomarkers and risk scores with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737699/
https://www.ncbi.nlm.nih.gov/pubmed/36494683
http://dx.doi.org/10.1186/s12933-022-01711-5
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