Cardiovascular Risk in Myositis Patients Compared to the General Population: Preliminary Data From a Single-Center Cross-Sectional Study

BackgroundIdiopathic inflammatory myopathies (IIM) are associated with systemic inflammation, limited mobility, and glucocorticoid therapy, all of which can lead to metabolism disturbances, atherogenesis, and increased cardiovascular (CV) risk. The aim of this study was to assess the CV risk in IIM...

Full description

Bibliographic Details
Main Authors: Sabina Oreska, Hana Storkanova, Jaroslav Kudlicka, Vladimir Tuka, Ondrej Mikes, Zdislava Krupickova, Martin Satny, Eva Chytilova, Jan Kvasnicka, Maja Spiritovic, Barbora Hermankova, Petr Cesak, Marian Rybar, Karel Pavelka, Ladislav Senolt, Herman Mann, Jiri Vencovsky, Michal Vrablik, Michal Tomcik
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.861419/full
_version_ 1811234769661329408
author Sabina Oreska
Sabina Oreska
Hana Storkanova
Hana Storkanova
Jaroslav Kudlicka
Vladimir Tuka
Ondrej Mikes
Zdislava Krupickova
Martin Satny
Eva Chytilova
Jan Kvasnicka
Maja Spiritovic
Maja Spiritovic
Barbora Hermankova
Petr Cesak
Marian Rybar
Karel Pavelka
Karel Pavelka
Ladislav Senolt
Ladislav Senolt
Herman Mann
Herman Mann
Jiri Vencovsky
Jiri Vencovsky
Michal Vrablik
Michal Tomcik
Michal Tomcik
author_facet Sabina Oreska
Sabina Oreska
Hana Storkanova
Hana Storkanova
Jaroslav Kudlicka
Vladimir Tuka
Ondrej Mikes
Zdislava Krupickova
Martin Satny
Eva Chytilova
Jan Kvasnicka
Maja Spiritovic
Maja Spiritovic
Barbora Hermankova
Petr Cesak
Marian Rybar
Karel Pavelka
Karel Pavelka
Ladislav Senolt
Ladislav Senolt
Herman Mann
Herman Mann
Jiri Vencovsky
Jiri Vencovsky
Michal Vrablik
Michal Tomcik
Michal Tomcik
author_sort Sabina Oreska
collection DOAJ
description BackgroundIdiopathic inflammatory myopathies (IIM) are associated with systemic inflammation, limited mobility, and glucocorticoid therapy, all of which can lead to metabolism disturbances, atherogenesis, and increased cardiovascular (CV) risk. The aim of this study was to assess the CV risk in IIM patients and healthy controls (HC), and its association with disease-specific features.MethodsThirty nine patients with IIM (32 females; mean age 56; mean disease duration 4.8 years; dermatomyositis: n = 16, polymyositis: n = 7, immune-mediated necrotizing myopathy: n = 8, anti-synthetase syndrome: n = 8) and 39 age-/sex-matched HC (32 females, mean age 56) without rheumatic diseases were included. In both groups, subjects with a history of CV disease (angina pectoris, myocardial infarction, cerebrovascular, and peripheral arterial vascular events) were excluded. Muscle involvement, disease activity, and tissue damage were evaluated (Manual Muscle Test-8, Myositis Intention to Treat Activity Index, Myositis Damage Index). Comorbidities and current treatment were recorded. All participants underwent examinations of carotid intima-media thickness (CIMT), pulse wave velocity (PWV), ankle-brachial index (ABI), and body composition (by densitometry and bioelectric impedance). The risk of fatal CV events was evaluated by the Systematic COronary Risk Evaluation (SCORE, charts for the European population) and its modifications.ResultsCompared to HC, there was no significant difference in IIM patients regarding blood pressure, ABI, PWV, CIMT, and the risk of fatal CV events by SCORE or SCORE2, or subclinical atherosclerosis (CIMT, carotid plaques, ABI, and PWV). The calculated CV risk scores by SCORE, SCORE2, and SCORE multiplied by the coefficient 1.5 (mSCORE) were reclassified according to the results of carotid plaque presence and CIMT; however, none of them was demonstrated to be significantly more accurate. Other significant predictors of CV risk in IIM patients included age, disease duration and activity, systemic inflammation, lipid profile, lean body mass, and blood pressure.ConclusionsNo significant differences in CV risk factors between our IIM patients and HC were observed. However, in IIM, CV risk was associated with age, disease duration, duration of glucocorticoid therapy, lipid profile, and body composition. None of the currently available scoring tools (SCORE, SCORE2, mSCORE) used in this study seems more accurate in estimating CV risk in IIM.
first_indexed 2024-04-12T11:42:18Z
format Article
id doaj.art-c03b7dda6090431296d9101b5754bdec
institution Directory Open Access Journal
issn 2296-858X
language English
last_indexed 2024-04-12T11:42:18Z
publishDate 2022-05-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Medicine
spelling doaj.art-c03b7dda6090431296d9101b5754bdec2022-12-22T03:34:36ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-05-01910.3389/fmed.2022.861419861419Cardiovascular Risk in Myositis Patients Compared to the General Population: Preliminary Data From a Single-Center Cross-Sectional StudySabina Oreska0Sabina Oreska1Hana Storkanova2Hana Storkanova3Jaroslav Kudlicka4Vladimir Tuka5Ondrej Mikes6Zdislava Krupickova7Martin Satny8Eva Chytilova9Jan Kvasnicka10Maja Spiritovic11Maja Spiritovic12Barbora Hermankova13Petr Cesak14Marian Rybar15Karel Pavelka16Karel Pavelka17Ladislav Senolt18Ladislav Senolt19Herman Mann20Herman Mann21Jiri Vencovsky22Jiri Vencovsky23Michal Vrablik24Michal Tomcik25Michal Tomcik26Institute of Rheumatology, Prague, CzechiaDepartment of Rheumatology, 1st Faculty of Medicine, Charles University, Prague, CzechiaInstitute of Rheumatology, Prague, CzechiaDepartment of Rheumatology, 1st Faculty of Medicine, Charles University, Prague, Czechia3rd Department of Internal Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czechia3rd Department of Internal Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czechia3rd Department of Internal Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czechia3rd Department of Internal Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czechia3rd Department of Internal Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czechia3rd Department of Internal Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czechia3rd Department of Internal Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, CzechiaInstitute of Rheumatology, Prague, CzechiaDepartment of Physiotherapy, Faculty of Physical Education and Sport, Charles University, Prague, CzechiaDepartment of Physiotherapy, Faculty of Physical Education and Sport, Charles University, Prague, CzechiaDepartment of Human Movement Laboratory, Faculty of Physical Education and Sport, Charles University, Prague, CzechiaFaculty of Mathematics and Physics, Charles University, Prague, CzechiaInstitute of Rheumatology, Prague, CzechiaDepartment of Rheumatology, 1st Faculty of Medicine, Charles University, Prague, CzechiaInstitute of Rheumatology, Prague, CzechiaDepartment of Rheumatology, 1st Faculty of Medicine, Charles University, Prague, CzechiaInstitute of Rheumatology, Prague, CzechiaDepartment of Rheumatology, 1st Faculty of Medicine, Charles University, Prague, CzechiaInstitute of Rheumatology, Prague, CzechiaDepartment of Rheumatology, 1st Faculty of Medicine, Charles University, Prague, Czechia3rd Department of Internal Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, CzechiaInstitute of Rheumatology, Prague, CzechiaDepartment of Rheumatology, 1st Faculty of Medicine, Charles University, Prague, CzechiaBackgroundIdiopathic inflammatory myopathies (IIM) are associated with systemic inflammation, limited mobility, and glucocorticoid therapy, all of which can lead to metabolism disturbances, atherogenesis, and increased cardiovascular (CV) risk. The aim of this study was to assess the CV risk in IIM patients and healthy controls (HC), and its association with disease-specific features.MethodsThirty nine patients with IIM (32 females; mean age 56; mean disease duration 4.8 years; dermatomyositis: n = 16, polymyositis: n = 7, immune-mediated necrotizing myopathy: n = 8, anti-synthetase syndrome: n = 8) and 39 age-/sex-matched HC (32 females, mean age 56) without rheumatic diseases were included. In both groups, subjects with a history of CV disease (angina pectoris, myocardial infarction, cerebrovascular, and peripheral arterial vascular events) were excluded. Muscle involvement, disease activity, and tissue damage were evaluated (Manual Muscle Test-8, Myositis Intention to Treat Activity Index, Myositis Damage Index). Comorbidities and current treatment were recorded. All participants underwent examinations of carotid intima-media thickness (CIMT), pulse wave velocity (PWV), ankle-brachial index (ABI), and body composition (by densitometry and bioelectric impedance). The risk of fatal CV events was evaluated by the Systematic COronary Risk Evaluation (SCORE, charts for the European population) and its modifications.ResultsCompared to HC, there was no significant difference in IIM patients regarding blood pressure, ABI, PWV, CIMT, and the risk of fatal CV events by SCORE or SCORE2, or subclinical atherosclerosis (CIMT, carotid plaques, ABI, and PWV). The calculated CV risk scores by SCORE, SCORE2, and SCORE multiplied by the coefficient 1.5 (mSCORE) were reclassified according to the results of carotid plaque presence and CIMT; however, none of them was demonstrated to be significantly more accurate. Other significant predictors of CV risk in IIM patients included age, disease duration and activity, systemic inflammation, lipid profile, lean body mass, and blood pressure.ConclusionsNo significant differences in CV risk factors between our IIM patients and HC were observed. However, in IIM, CV risk was associated with age, disease duration, duration of glucocorticoid therapy, lipid profile, and body composition. None of the currently available scoring tools (SCORE, SCORE2, mSCORE) used in this study seems more accurate in estimating CV risk in IIM.https://www.frontiersin.org/articles/10.3389/fmed.2022.861419/fullatherosclerosismyositisinflammationcardiovascular riskrisk assessment
spellingShingle Sabina Oreska
Sabina Oreska
Hana Storkanova
Hana Storkanova
Jaroslav Kudlicka
Vladimir Tuka
Ondrej Mikes
Zdislava Krupickova
Martin Satny
Eva Chytilova
Jan Kvasnicka
Maja Spiritovic
Maja Spiritovic
Barbora Hermankova
Petr Cesak
Marian Rybar
Karel Pavelka
Karel Pavelka
Ladislav Senolt
Ladislav Senolt
Herman Mann
Herman Mann
Jiri Vencovsky
Jiri Vencovsky
Michal Vrablik
Michal Tomcik
Michal Tomcik
Cardiovascular Risk in Myositis Patients Compared to the General Population: Preliminary Data From a Single-Center Cross-Sectional Study
Frontiers in Medicine
atherosclerosis
myositis
inflammation
cardiovascular risk
risk assessment
title Cardiovascular Risk in Myositis Patients Compared to the General Population: Preliminary Data From a Single-Center Cross-Sectional Study
title_full Cardiovascular Risk in Myositis Patients Compared to the General Population: Preliminary Data From a Single-Center Cross-Sectional Study
title_fullStr Cardiovascular Risk in Myositis Patients Compared to the General Population: Preliminary Data From a Single-Center Cross-Sectional Study
title_full_unstemmed Cardiovascular Risk in Myositis Patients Compared to the General Population: Preliminary Data From a Single-Center Cross-Sectional Study
title_short Cardiovascular Risk in Myositis Patients Compared to the General Population: Preliminary Data From a Single-Center Cross-Sectional Study
title_sort cardiovascular risk in myositis patients compared to the general population preliminary data from a single center cross sectional study
topic atherosclerosis
myositis
inflammation
cardiovascular risk
risk assessment
url https://www.frontiersin.org/articles/10.3389/fmed.2022.861419/full
work_keys_str_mv AT sabinaoreska cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT sabinaoreska cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT hanastorkanova cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT hanastorkanova cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT jaroslavkudlicka cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT vladimirtuka cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT ondrejmikes cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT zdislavakrupickova cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT martinsatny cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT evachytilova cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT jankvasnicka cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT majaspiritovic cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT majaspiritovic cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT barborahermankova cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT petrcesak cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT marianrybar cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT karelpavelka cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT karelpavelka cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT ladislavsenolt cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT ladislavsenolt cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT hermanmann cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT hermanmann cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT jirivencovsky cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT jirivencovsky cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT michalvrablik cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT michaltomcik cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy
AT michaltomcik cardiovascularriskinmyositispatientscomparedtothegeneralpopulationpreliminarydatafromasinglecentercrosssectionalstudy