Subclinical Atherosclerosis in Alopecia Areata: Usefulness of Arterial Ultrasound for Disease Diagnosis and Analysis of Its Relationship with Cardiometabolic Parameters
Chronic systemic inflammation is a risk factor that increases the development of atherosclerosis and predisposes to cardiovascular diseases (CVDs). The systemic inflammatory profile of alopecia areata (AA) regarding IFNγ and Th1 cytokine dysregulation has previously been described, suggesting an inc...
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creator | Burgos-Blasco, Patricia Gonzalez-Cantero, Alvaro Hermosa-Gelbard, Angela Jiménez-Cahue, Juan Buendía-Castaño, Diego Berna-Rico, Emilio de Aragon, Carlota Abbad-Jaime Vañó-Galván, Sergio Saceda-Corralo, David |
description | Chronic systemic inflammation is a risk factor that increases the development of atherosclerosis and predisposes to cardiovascular diseases (CVDs). The systemic inflammatory profile of alopecia areata (AA) regarding IFNγ and Th1 cytokine dysregulation has previously been described, suggesting an increased incidence of CVDs in this population. No previous studies investigated the possible relationship between atherosclerosis and AA by cardiovascular imaging techniques. To determine the prevalence, distribution and burden of subclinical atherosclerosis in AA.
We conducted a case-control study in 62 participants, including 31 patients with severe AA (SALT > 75) and 31 healthy controls, matched for age, sex and body mass index (BMI). The participants underwent a detailed history assessment and were subjected to the measurement of weight, height, abdominal circumference and blood pressure. A fasting blood sample was also collected. Subclinical atherosclerosis was evaluated by ultrasonography of the bilateral femoral and carotid arteries.
The AA patients had an increased prevalence of subclinical atherosclerosis (54.7%) compared to the healthy controls (22.6%,
= 0.010). The prevalence of atheroma plaques was significantly higher in the carotid arteries (41.90% vs. 12.9%,
= 0.009), while no significant differences were found in femoral plaque prevalence. The AA patients with atherosclerotic plaques were older (
< 0.001) and had a longer time since AA diagnosis (
= 0.11) and increased serum levels of glycated hemoglobin (
= 0.029) and triglycerides (
= 0.009). In a regression analysis, duration of disease and neutrophil/lymphocyte ratio were the main predictors of atherosclerosis.
AA patients have an increased prevalence of carotid subclinical atherosclerosis. The duration of AA, systemic inflammation and insulin resistance appear to play a role in the development of subclinical atherosclerosis in this population. |
doi_str_mv | 10.3390/jcm13144264 |
format | Article |
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We conducted a case-control study in 62 participants, including 31 patients with severe AA (SALT > 75) and 31 healthy controls, matched for age, sex and body mass index (BMI). The participants underwent a detailed history assessment and were subjected to the measurement of weight, height, abdominal circumference and blood pressure. A fasting blood sample was also collected. Subclinical atherosclerosis was evaluated by ultrasonography of the bilateral femoral and carotid arteries.
The AA patients had an increased prevalence of subclinical atherosclerosis (54.7%) compared to the healthy controls (22.6%,
= 0.010). The prevalence of atheroma plaques was significantly higher in the carotid arteries (41.90% vs. 12.9%,
= 0.009), while no significant differences were found in femoral plaque prevalence. The AA patients with atherosclerotic plaques were older (
< 0.001) and had a longer time since AA diagnosis (
= 0.11) and increased serum levels of glycated hemoglobin (
= 0.029) and triglycerides (
= 0.009). In a regression analysis, duration of disease and neutrophil/lymphocyte ratio were the main predictors of atherosclerosis.
AA patients have an increased prevalence of carotid subclinical atherosclerosis. The duration of AA, systemic inflammation and insulin resistance appear to play a role in the development of subclinical atherosclerosis in this population.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm13144264</identifier><identifier>PMID: 39064304</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Age ; Alopecia ; Atherosclerosis ; Baldness ; Body mass index ; Cholesterol ; Complications and side effects ; Cytokines ; Demographic aspects ; Development and progression ; Diagnosis ; Disease ; Follicles ; Glucose ; Hair ; Hypertension ; Insulin resistance ; Metabolic disorders ; Neutrophils ; Risk factors ; Statistical analysis ; Triglycerides ; Ultrasonic imaging</subject><ispartof>Journal of clinical medicine, 2024-07, Vol.13 (14), p.4264</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c309t-ed66d31870ee3030168cfb658480f85991246bfdfc15e1958efe32e5067db7c03</cites><orcidid>0000-0003-0348-5421 ; 0000-0001-6315-5462 ; 0000-0002-5587-1204 ; 0000-0002-4517-507X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39064304$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Burgos-Blasco, Patricia</creatorcontrib><creatorcontrib>Gonzalez-Cantero, Alvaro</creatorcontrib><creatorcontrib>Hermosa-Gelbard, Angela</creatorcontrib><creatorcontrib>Jiménez-Cahue, Juan</creatorcontrib><creatorcontrib>Buendía-Castaño, Diego</creatorcontrib><creatorcontrib>Berna-Rico, Emilio</creatorcontrib><creatorcontrib>de Aragon, Carlota Abbad-Jaime</creatorcontrib><creatorcontrib>Vañó-Galván, Sergio</creatorcontrib><creatorcontrib>Saceda-Corralo, David</creatorcontrib><title>Subclinical Atherosclerosis in Alopecia Areata: Usefulness of Arterial Ultrasound for Disease Diagnosis and Analysis of Its Relationship with Cardiometabolic Parameters</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>Chronic systemic inflammation is a risk factor that increases the development of atherosclerosis and predisposes to cardiovascular diseases (CVDs). The systemic inflammatory profile of alopecia areata (AA) regarding IFNγ and Th1 cytokine dysregulation has previously been described, suggesting an increased incidence of CVDs in this population. No previous studies investigated the possible relationship between atherosclerosis and AA by cardiovascular imaging techniques. To determine the prevalence, distribution and burden of subclinical atherosclerosis in AA.
We conducted a case-control study in 62 participants, including 31 patients with severe AA (SALT > 75) and 31 healthy controls, matched for age, sex and body mass index (BMI). The participants underwent a detailed history assessment and were subjected to the measurement of weight, height, abdominal circumference and blood pressure. A fasting blood sample was also collected. Subclinical atherosclerosis was evaluated by ultrasonography of the bilateral femoral and carotid arteries.
The AA patients had an increased prevalence of subclinical atherosclerosis (54.7%) compared to the healthy controls (22.6%,
= 0.010). The prevalence of atheroma plaques was significantly higher in the carotid arteries (41.90% vs. 12.9%,
= 0.009), while no significant differences were found in femoral plaque prevalence. The AA patients with atherosclerotic plaques were older (
< 0.001) and had a longer time since AA diagnosis (
= 0.11) and increased serum levels of glycated hemoglobin (
= 0.029) and triglycerides (
= 0.009). In a regression analysis, duration of disease and neutrophil/lymphocyte ratio were the main predictors of atherosclerosis.
AA patients have an increased prevalence of carotid subclinical atherosclerosis. The duration of AA, systemic inflammation and insulin resistance appear to play a role in the development of subclinical atherosclerosis in this population.</description><subject>Age</subject><subject>Alopecia</subject><subject>Atherosclerosis</subject><subject>Baldness</subject><subject>Body mass index</subject><subject>Cholesterol</subject><subject>Complications and side effects</subject><subject>Cytokines</subject><subject>Demographic aspects</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Disease</subject><subject>Follicles</subject><subject>Glucose</subject><subject>Hair</subject><subject>Hypertension</subject><subject>Insulin resistance</subject><subject>Metabolic disorders</subject><subject>Neutrophils</subject><subject>Risk factors</subject><subject>Statistical analysis</subject><subject>Triglycerides</subject><subject>Ultrasonic imaging</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkt9rFDEQx4MottQ--S4BX4RybbLJZrO-LaethYKi3vOSzU56ObLJmWSR_kf9M8221VYxgUxm5vMd8mMQek3JKWMtOdvpiTLKeSX4M3RYkaZZESbZ8yf7A3Sc0o6UISWvaPMSHRSl4IzwQ3T7bR60s95q5XCXtxBD0m5ZbcLW486FPWircBdBZfUebxKY2XlICQdTohmiLdKNy1GlMPsRmxDxB5tAJShWXfu7WqpkOq_czeIU5WVO-Cs4lW3waWv3-KfNW7xWcbRhgqyG4KzGX1RUxYOYXqEXRrkExw_2CG3OP35ff1pdfb64XHdXK81Im1cwCjEyKhsCwAgjVEhtBlFLLomRddvSiovBjEbTGmhbSzDAKqiJaMah0YQdoXf3dfcx_Jgh5X6ySYNzykOYU8-IrCmVdbWgb_9Bd2GO5Y53FG8rwRr6SF0rB731JpSX0kvRvpOE1bSRjBXq9D9UmSNMVgcPxpb4X4KTe4Euf5UimH4f7aTiTU9Jv7RG_6Q1Cv3m4ajzMMH4h_3dCOwXToa0ag</recordid><startdate>20240722</startdate><enddate>20240722</enddate><creator>Burgos-Blasco, Patricia</creator><creator>Gonzalez-Cantero, Alvaro</creator><creator>Hermosa-Gelbard, Angela</creator><creator>Jiménez-Cahue, Juan</creator><creator>Buendía-Castaño, Diego</creator><creator>Berna-Rico, Emilio</creator><creator>de Aragon, Carlota Abbad-Jaime</creator><creator>Vañó-Galván, Sergio</creator><creator>Saceda-Corralo, David</creator><general>MDPI AG</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0348-5421</orcidid><orcidid>https://orcid.org/0000-0001-6315-5462</orcidid><orcidid>https://orcid.org/0000-0002-5587-1204</orcidid><orcidid>https://orcid.org/0000-0002-4517-507X</orcidid></search><sort><creationdate>20240722</creationdate><title>Subclinical Atherosclerosis in Alopecia Areata: Usefulness of Arterial Ultrasound for Disease Diagnosis and Analysis of Its Relationship with Cardiometabolic Parameters</title><author>Burgos-Blasco, Patricia ; Gonzalez-Cantero, Alvaro ; Hermosa-Gelbard, Angela ; Jiménez-Cahue, Juan ; Buendía-Castaño, Diego ; Berna-Rico, Emilio ; de Aragon, Carlota Abbad-Jaime ; Vañó-Galván, Sergio ; Saceda-Corralo, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c309t-ed66d31870ee3030168cfb658480f85991246bfdfc15e1958efe32e5067db7c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Age</topic><topic>Alopecia</topic><topic>Atherosclerosis</topic><topic>Baldness</topic><topic>Body mass index</topic><topic>Cholesterol</topic><topic>Complications and side effects</topic><topic>Cytokines</topic><topic>Demographic aspects</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Disease</topic><topic>Follicles</topic><topic>Glucose</topic><topic>Hair</topic><topic>Hypertension</topic><topic>Insulin resistance</topic><topic>Metabolic disorders</topic><topic>Neutrophils</topic><topic>Risk factors</topic><topic>Statistical analysis</topic><topic>Triglycerides</topic><topic>Ultrasonic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Burgos-Blasco, Patricia</creatorcontrib><creatorcontrib>Gonzalez-Cantero, Alvaro</creatorcontrib><creatorcontrib>Hermosa-Gelbard, Angela</creatorcontrib><creatorcontrib>Jiménez-Cahue, Juan</creatorcontrib><creatorcontrib>Buendía-Castaño, Diego</creatorcontrib><creatorcontrib>Berna-Rico, Emilio</creatorcontrib><creatorcontrib>de Aragon, Carlota Abbad-Jaime</creatorcontrib><creatorcontrib>Vañó-Galván, Sergio</creatorcontrib><creatorcontrib>Saceda-Corralo, David</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Burgos-Blasco, Patricia</au><au>Gonzalez-Cantero, Alvaro</au><au>Hermosa-Gelbard, Angela</au><au>Jiménez-Cahue, Juan</au><au>Buendía-Castaño, Diego</au><au>Berna-Rico, Emilio</au><au>de Aragon, Carlota Abbad-Jaime</au><au>Vañó-Galván, Sergio</au><au>Saceda-Corralo, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Subclinical Atherosclerosis in Alopecia Areata: Usefulness of Arterial Ultrasound for Disease Diagnosis and Analysis of Its Relationship with Cardiometabolic Parameters</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2024-07-22</date><risdate>2024</risdate><volume>13</volume><issue>14</issue><spage>4264</spage><pages>4264-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>Chronic systemic inflammation is a risk factor that increases the development of atherosclerosis and predisposes to cardiovascular diseases (CVDs). The systemic inflammatory profile of alopecia areata (AA) regarding IFNγ and Th1 cytokine dysregulation has previously been described, suggesting an increased incidence of CVDs in this population. No previous studies investigated the possible relationship between atherosclerosis and AA by cardiovascular imaging techniques. To determine the prevalence, distribution and burden of subclinical atherosclerosis in AA.
We conducted a case-control study in 62 participants, including 31 patients with severe AA (SALT > 75) and 31 healthy controls, matched for age, sex and body mass index (BMI). The participants underwent a detailed history assessment and were subjected to the measurement of weight, height, abdominal circumference and blood pressure. A fasting blood sample was also collected. Subclinical atherosclerosis was evaluated by ultrasonography of the bilateral femoral and carotid arteries.
The AA patients had an increased prevalence of subclinical atherosclerosis (54.7%) compared to the healthy controls (22.6%,
= 0.010). The prevalence of atheroma plaques was significantly higher in the carotid arteries (41.90% vs. 12.9%,
= 0.009), while no significant differences were found in femoral plaque prevalence. The AA patients with atherosclerotic plaques were older (
< 0.001) and had a longer time since AA diagnosis (
= 0.11) and increased serum levels of glycated hemoglobin (
= 0.029) and triglycerides (
= 0.009). In a regression analysis, duration of disease and neutrophil/lymphocyte ratio were the main predictors of atherosclerosis.
AA patients have an increased prevalence of carotid subclinical atherosclerosis. The duration of AA, systemic inflammation and insulin resistance appear to play a role in the development of subclinical atherosclerosis in this population.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39064304</pmid><doi>10.3390/jcm13144264</doi><orcidid>https://orcid.org/0000-0003-0348-5421</orcidid><orcidid>https://orcid.org/0000-0001-6315-5462</orcidid><orcidid>https://orcid.org/0000-0002-5587-1204</orcidid><orcidid>https://orcid.org/0000-0002-4517-507X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Alopecia Atherosclerosis Baldness Body mass index Cholesterol Complications and side effects Cytokines Demographic aspects Development and progression Diagnosis Disease Follicles Glucose Hair Hypertension Insulin resistance Metabolic disorders Neutrophils Risk factors Statistical analysis Triglycerides Ultrasonic imaging |
title | Subclinical Atherosclerosis in Alopecia Areata: Usefulness of Arterial Ultrasound for Disease Diagnosis and Analysis of Its Relationship with Cardiometabolic Parameters |
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