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Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume
BACKGROUND: Atherosclerotic cardiovascular disease is a key cause of morbidity in non‐alcoholic fatty liver disease (NAFLD) but appropriate means to predict major acute cardiovascular events (MACE) are lacking. AIM: To design a bespoke cardiovascular risk score in NAFLD. METHODS: A retrospective der...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519040/ https://www.ncbi.nlm.nih.gov/pubmed/30836450 http://dx.doi.org/10.1111/apt.15192 |
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author | Abeles, Robin D. Mullish, Benjamin H. Forlano, Roberta Kimhofer, Torben Adler, Maciej Tzallas, Alexandros Giannakeas, Nikolaos Yee, Michael Mayet, Jamil Goldin, Robert D. Thursz, Mark R. Manousou, Pinelopi |
author_facet | Abeles, Robin D. Mullish, Benjamin H. Forlano, Roberta Kimhofer, Torben Adler, Maciej Tzallas, Alexandros Giannakeas, Nikolaos Yee, Michael Mayet, Jamil Goldin, Robert D. Thursz, Mark R. Manousou, Pinelopi |
author_sort | Abeles, Robin D. |
collection | PubMed |
description | BACKGROUND: Atherosclerotic cardiovascular disease is a key cause of morbidity in non‐alcoholic fatty liver disease (NAFLD) but appropriate means to predict major acute cardiovascular events (MACE) are lacking. AIM: To design a bespoke cardiovascular risk score in NAFLD. METHODS: A retrospective derivation (2008‐2016, 356 patients) and a prospective validation (2016‐ 2017, 111 patients) NAFLD cohort study was performed. Clinical and biochemical data were recorded at enrolment and mean platelet volume (MPV), Qrisk2 and Framingham scores were recorded one year prior to MACE (Cardiovascular death, acute coronary syndrome, stroke and transient ischaemic attack). RESULTS: The derivation and validation cohorts were well‐matched, with MACE prevalence 12.6% and 12%, respectively. On univariate analysis, age, diabetes, advanced fibrosis, collagen proportionate area >5%, MPV and liver stiffness were associated with MACE. After multivariate analysis, age, diabetes and MPV remained independently predictive of MACE. The “NAFLD CV‐risk score” was generated using binary logistic regression: 0.06*(Age) + 0.963*(MPV) + 0.26*(DM(1)) – 16.44; (1)Diabetes mellitus: 1: present; 2: absent. (AUROC 0.84). A cut‐off of −3.98 gave a sensitivity 97%, specificity 27%, PPV 16%, and NPV 99%. An MPV alone of >10.05 gave a sensitivity 97%, specificity 59%, PPV 24% and NPV 97% (AUROC 0.83). Validation cohort AUROCs were comparable at 0.77 (NAFLD CV‐risk) and 0.72 (MPV). In the full cohort, the NAFLD CV‐risk score and MPV outperformed both Qrisk2 and Framingham scores. CONCLUSIONS: The NAFLD CV risk score and MPV accurately predict 1‐year risk of MACE, thereby allowing better identification of patients that require optimisation of their cardiovascular risk profile. |
format | Online Article Text |
id | pubmed-6519040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65190402019-05-21 Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume Abeles, Robin D. Mullish, Benjamin H. Forlano, Roberta Kimhofer, Torben Adler, Maciej Tzallas, Alexandros Giannakeas, Nikolaos Yee, Michael Mayet, Jamil Goldin, Robert D. Thursz, Mark R. Manousou, Pinelopi Aliment Pharmacol Ther Predicting Cardiovascular Events in Patients with Nafld BACKGROUND: Atherosclerotic cardiovascular disease is a key cause of morbidity in non‐alcoholic fatty liver disease (NAFLD) but appropriate means to predict major acute cardiovascular events (MACE) are lacking. AIM: To design a bespoke cardiovascular risk score in NAFLD. METHODS: A retrospective derivation (2008‐2016, 356 patients) and a prospective validation (2016‐ 2017, 111 patients) NAFLD cohort study was performed. Clinical and biochemical data were recorded at enrolment and mean platelet volume (MPV), Qrisk2 and Framingham scores were recorded one year prior to MACE (Cardiovascular death, acute coronary syndrome, stroke and transient ischaemic attack). RESULTS: The derivation and validation cohorts were well‐matched, with MACE prevalence 12.6% and 12%, respectively. On univariate analysis, age, diabetes, advanced fibrosis, collagen proportionate area >5%, MPV and liver stiffness were associated with MACE. After multivariate analysis, age, diabetes and MPV remained independently predictive of MACE. The “NAFLD CV‐risk score” was generated using binary logistic regression: 0.06*(Age) + 0.963*(MPV) + 0.26*(DM(1)) – 16.44; (1)Diabetes mellitus: 1: present; 2: absent. (AUROC 0.84). A cut‐off of −3.98 gave a sensitivity 97%, specificity 27%, PPV 16%, and NPV 99%. An MPV alone of >10.05 gave a sensitivity 97%, specificity 59%, PPV 24% and NPV 97% (AUROC 0.83). Validation cohort AUROCs were comparable at 0.77 (NAFLD CV‐risk) and 0.72 (MPV). In the full cohort, the NAFLD CV‐risk score and MPV outperformed both Qrisk2 and Framingham scores. CONCLUSIONS: The NAFLD CV risk score and MPV accurately predict 1‐year risk of MACE, thereby allowing better identification of patients that require optimisation of their cardiovascular risk profile. John Wiley and Sons Inc. 2019-03-05 2019-04 /pmc/articles/PMC6519040/ /pubmed/30836450 http://dx.doi.org/10.1111/apt.15192 Text en © 2019 The Authors. Alimentary Pharmacology & Therapeutics Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Predicting Cardiovascular Events in Patients with Nafld Abeles, Robin D. Mullish, Benjamin H. Forlano, Roberta Kimhofer, Torben Adler, Maciej Tzallas, Alexandros Giannakeas, Nikolaos Yee, Michael Mayet, Jamil Goldin, Robert D. Thursz, Mark R. Manousou, Pinelopi Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume |
title | Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume |
title_full | Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume |
title_fullStr | Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume |
title_full_unstemmed | Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume |
title_short | Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume |
title_sort | derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume |
topic | Predicting Cardiovascular Events in Patients with Nafld |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519040/ https://www.ncbi.nlm.nih.gov/pubmed/30836450 http://dx.doi.org/10.1111/apt.15192 |
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