Predictors of health care use among patients with or at high risk of atherothrombotic disease: Two-year follow-up data
Identifieur interne : 004008 ( Main/Exploration ); précédent : 004007; suivant : 004009Predictors of health care use among patients with or at high risk of atherothrombotic disease: Two-year follow-up data
Auteurs : Zanfina Ademi [Australie] ; Danny Liew [Australie] ; Alexandra Gorelik [Australie] ; Megan Bohensky [Australie] ; Ella Zomer [Australie] ; Bruce Hollingsworth [Royaume-Uni] ; Gabriel Steg [France] ; Deepak L. Bhatt [États-Unis] ; Christopher M. Reid [Australie]Source :
- International journal of cardiology [ 0167-5273 ] ; 2014.
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- Pascal (Inist)
- Wicri :
- topic : Homme, Maladie, Soins de santé.
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Abstract
Background: Atherothrombotic diseases are the leading health problems in the world, both in terms of morbidity and mortality. This study aimed to identify and quantify the predictors of medication, hospital and outpatient service use among patients with or at high risk of atherothrombotic disease. Methods: Two-year follow-up data were analyzed for 2873 Australian participants of the Reduction of Atherothrombosis for Continued Health (REACH) registry. The analysis was performed using generalized linear models with Poisson and Gamma distributions and log link function. Results: Participants with hypercholesterolemia, diabetes, hypertension, atrial fibrillation (AF), and history of coronary artery disease (CAD) used more medications (p < 0.0001). The presence of diabetes predicted higher number of outpatient visits (RR = 1.09, 95% Cl: 1.07-1.11), as did AF (RR = 1.10, 95% CI: 1.08-1.12). The presence of peripheral artery disease (PAD) regardless of ankle brachial index (ABI) status (abnormal or normal) increased the use of outpatient visits (RR = 1.24,95% CI: 1.20-1.29 and RR = 1.12,95% CI: 1.08-1.15), compared to those without PAD. Similarly, the presence of PAD regardless of ABI status increased the risk of vascular interventions, including coronary angioplasty, carotid surgery, amputation affecting lower-limb and peripheral bypass graft (RR = 3.64,95% CI: 2.01-6.60) (RR = 2.8,95% CI: 1.6-4.92) compared to patients without PAD. Conclusions: The presence of PAD regardless of ABI status predicts a higher number of outpatient visits, non-fatal cardiovascular endpoints and vascular-interventions, while diabetes predicts higher pharmaceutical use and outpatient visits. AF predicts the higher number of outpatient visits and non-fatal cardiovascular events.
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Bhatt</name><affiliation wicri:level="1"><inist:fA14 i1="05"><s1>VA Boston Healthcare System, Brigham and Women's Hospital, Harvard Medical School</s1><s2>Boston, MA</s2><s3>USA</s3><sZ>8 aut.</sZ></inist:fA14><country>États-Unis</country><wicri:noRegion>Boston, MA</wicri:noRegion></affiliation></author><author><name sortKey="Reid, Christopher M" sort="Reid, Christopher M" uniqKey="Reid C" first="Christopher M." last="Reid">Christopher M. Reid</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Epidemiology & Preventive Medicine, Monash University</s1><s3>AUS</s3><sZ>1 aut.</sZ><sZ>5 aut.</sZ><sZ>9 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Department of Epidemiology & Preventive Medicine, Monash University</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">14-0168698</idno><date when="2014">2014</date><idno type="stanalyst">PASCAL 14-0168698 INIST</idno><idno type="RBID">Pascal:14-0168698</idno><idno type="wicri:Area/PascalFrancis/Corpus">000371</idno><idno type="wicri:Area/PascalFrancis/Curation">005A91</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000144</idno><idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">000144</idno><idno type="wicri:doubleKey">0167-5273:2014:Ademi Z:predictors:of:health</idno><idno type="wicri:Area/Main/Merge">004068</idno><idno type="wicri:Area/Main/Curation">004008</idno><idno type="wicri:Area/Main/Exploration">004008</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Predictors of health care use among patients with or at high risk of atherothrombotic disease: Two-year follow-up data</title><author><name sortKey="Ademi, Zanfina" sort="Ademi, Zanfina" uniqKey="Ademi Z" first="Zanfina" last="Ademi">Zanfina Ademi</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Melbourne Epicentre, Department of Medicine (The Royal Melbourne Hospital), The University of Melbourne</s1><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Australie</country><placeName><settlement type="city">Melbourne</settlement><region type="état">Victoria (État)</region></placeName><orgName type="university">Université de Melbourne</orgName></affiliation><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Epidemiology & Preventive Medicine, Monash University</s1><s3>AUS</s3><sZ>1 aut.</sZ><sZ>5 aut.</sZ><sZ>9 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Department of Epidemiology & Preventive Medicine, Monash University</wicri:noRegion></affiliation></author><author><name sortKey="Liew, Danny" sort="Liew, Danny" uniqKey="Liew D" first="Danny" last="Liew">Danny Liew</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Melbourne Epicentre, Department of Medicine (The Royal Melbourne Hospital), The University of Melbourne</s1><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Australie</country><placeName><settlement type="city">Melbourne</settlement><region type="état">Victoria (État)</region></placeName><orgName type="university">Université de Melbourne</orgName></affiliation></author><author><name sortKey="Gorelik, Alexandra" sort="Gorelik, Alexandra" uniqKey="Gorelik A" first="Alexandra" last="Gorelik">Alexandra Gorelik</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Melbourne Epicentre, Department of Medicine (The Royal Melbourne Hospital), The University of Melbourne</s1><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Australie</country><placeName><settlement type="city">Melbourne</settlement><region type="état">Victoria (État)</region></placeName><orgName type="university">Université de Melbourne</orgName></affiliation></author><author><name sortKey="Bohensky, Megan" sort="Bohensky, Megan" uniqKey="Bohensky M" first="Megan" last="Bohensky">Megan Bohensky</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Melbourne Epicentre, Department of Medicine (The Royal Melbourne Hospital), The University of Melbourne</s1><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Australie</country><placeName><settlement type="city">Melbourne</settlement><region type="état">Victoria (État)</region></placeName><orgName type="university">Université de Melbourne</orgName></affiliation></author><author><name sortKey="Zomer, Ella" sort="Zomer, Ella" uniqKey="Zomer E" first="Ella" last="Zomer">Ella Zomer</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Epidemiology & Preventive Medicine, Monash University</s1><s3>AUS</s3><sZ>1 aut.</sZ><sZ>5 aut.</sZ><sZ>9 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Department of Epidemiology & Preventive Medicine, Monash University</wicri:noRegion></affiliation></author><author><name sortKey="Hollingsworth, Bruce" sort="Hollingsworth, Bruce" uniqKey="Hollingsworth B" first="Bruce" last="Hollingsworth">Bruce Hollingsworth</name><affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Division of Health Research, Lancaster University</s1><s3>GBR</s3><sZ>6 aut.</sZ></inist:fA14><country>Royaume-Uni</country><wicri:noRegion>Division of Health Research, Lancaster University</wicri:noRegion></affiliation></author><author><name sortKey="Steg, Gabriel" sort="Steg, Gabriel" uniqKey="Steg G" first="Gabriel" last="Steg">Gabriel Steg</name><affiliation wicri:level="1"><inist:fA14 i1="04"><s1>INSERM U-698, University Paris-Diderot</s1><s2>Sorbonne Paris-Cité</s2><s3>FRA</s3><sZ>7 aut.</sZ></inist:fA14><country>France</country><wicri:noRegion>Sorbonne Paris-Cité</wicri:noRegion><wicri:noRegion>University Paris-Diderot</wicri:noRegion><wicri:noRegion>Sorbonne Paris-Cité</wicri:noRegion></affiliation></author><author><name sortKey="Bhatt, Deepak L" sort="Bhatt, Deepak L" uniqKey="Bhatt D" first="Deepak L." last="Bhatt">Deepak L. Bhatt</name><affiliation wicri:level="1"><inist:fA14 i1="05"><s1>VA Boston Healthcare System, Brigham and Women's Hospital, Harvard Medical School</s1><s2>Boston, MA</s2><s3>USA</s3><sZ>8 aut.</sZ></inist:fA14><country>États-Unis</country><wicri:noRegion>Boston, MA</wicri:noRegion></affiliation></author><author><name sortKey="Reid, Christopher M" sort="Reid, Christopher M" uniqKey="Reid C" first="Christopher M." last="Reid">Christopher M. Reid</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Epidemiology & Preventive Medicine, Monash University</s1><s3>AUS</s3><sZ>1 aut.</sZ><sZ>5 aut.</sZ><sZ>9 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Department of Epidemiology & Preventive Medicine, Monash University</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">International journal of cardiology</title><title level="j" type="abbreviated">Int. j. cardiol.</title><idno type="ISSN">0167-5273</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">International journal of cardiology</title><title level="j" type="abbreviated">Int. j. cardiol.</title><idno type="ISSN">0167-5273</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Atherosclerosis</term><term>Cardiology</term><term>Cardiovascular disease</term><term>Concomitant disease</term><term>Data</term><term>Disease</term><term>Follow up study</term><term>Health service</term><term>Healthcare</term><term>High risk</term><term>Human</term><term>Patient</term><term>Polypathology</term><term>Prediction</term><term>Predictive factor</term><term>Predictor</term><term>Thrombosis</term><term>Use</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Thrombose</term><term>Athérosclérose</term><term>Polypathologie</term><term>Pathologie de l'appareil circulatoire</term><term>Prédicteur</term><term>Facteur prédictif</term><term>Prédiction</term><term>Utilisation</term><term>Homme</term><term>Malade</term><term>Risque élevé</term><term>Maladie</term><term>Etude longitudinale</term><term>Donnée</term><term>Association morbide</term><term>Service santé</term><term>Cardiologie</term><term>Soins de santé</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Homme</term><term>Maladie</term><term>Soins de santé</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Background: Atherothrombotic diseases are the leading health problems in the world, both in terms of morbidity and mortality. This study aimed to identify and quantify the predictors of medication, hospital and outpatient service use among patients with or at high risk of atherothrombotic disease. Methods: Two-year follow-up data were analyzed for 2873 Australian participants of the Reduction of Atherothrombosis for Continued Health (REACH) registry. The analysis was performed using generalized linear models with Poisson and Gamma distributions and log link function. Results: Participants with hypercholesterolemia, diabetes, hypertension, atrial fibrillation (AF), and history of coronary artery disease (CAD) used more medications (p < 0.0001). The presence of diabetes predicted higher number of outpatient visits (RR = 1.09, 95% Cl: 1.07-1.11), as did AF (RR = 1.10, 95% CI: 1.08-1.12). The presence of peripheral artery disease (PAD) regardless of ankle brachial index (ABI) status (abnormal or normal) increased the use of outpatient visits (RR = 1.24,95% CI: 1.20-1.29 and RR = 1.12,95% CI: 1.08-1.15), compared to those without PAD. Similarly, the presence of PAD regardless of ABI status increased the risk of vascular interventions, including coronary angioplasty, carotid surgery, amputation affecting lower-limb and peripheral bypass graft (RR = 3.64,95% CI: 2.01-6.60) (RR = 2.8,95% CI: 1.6-4.92) compared to patients without PAD. Conclusions: The presence of PAD regardless of ABI status predicts a higher number of outpatient visits, non-fatal cardiovascular endpoints and vascular-interventions, while diabetes predicts higher pharmaceutical use and outpatient visits. AF predicts the higher number of outpatient visits and non-fatal cardiovascular events.</div></front></TEI><affiliations><list><country><li>Australie</li><li>France</li><li>Royaume-Uni</li><li>États-Unis</li></country><region><li>Victoria (État)</li></region><settlement><li>Melbourne</li></settlement><orgName><li>Université de Melbourne</li></orgName></list><tree><country name="Australie"><region name="Victoria (État)"><name sortKey="Ademi, Zanfina" sort="Ademi, Zanfina" uniqKey="Ademi Z" first="Zanfina" last="Ademi">Zanfina Ademi</name></region><name sortKey="Ademi, Zanfina" sort="Ademi, Zanfina" uniqKey="Ademi Z" first="Zanfina" last="Ademi">Zanfina Ademi</name><name sortKey="Bohensky, Megan" sort="Bohensky, Megan" uniqKey="Bohensky M" first="Megan" last="Bohensky">Megan Bohensky</name><name sortKey="Gorelik, Alexandra" sort="Gorelik, Alexandra" uniqKey="Gorelik A" first="Alexandra" last="Gorelik">Alexandra Gorelik</name><name sortKey="Liew, Danny" sort="Liew, Danny" uniqKey="Liew D" first="Danny" last="Liew">Danny Liew</name><name sortKey="Reid, Christopher M" sort="Reid, Christopher M" uniqKey="Reid C" first="Christopher M." last="Reid">Christopher M. Reid</name><name sortKey="Zomer, Ella" sort="Zomer, Ella" uniqKey="Zomer E" first="Ella" last="Zomer">Ella Zomer</name></country><country name="Royaume-Uni"><noRegion><name sortKey="Hollingsworth, Bruce" sort="Hollingsworth, Bruce" uniqKey="Hollingsworth B" first="Bruce" last="Hollingsworth">Bruce Hollingsworth</name></noRegion></country><country name="France"><noRegion><name sortKey="Steg, Gabriel" sort="Steg, Gabriel" uniqKey="Steg G" first="Gabriel" last="Steg">Gabriel Steg</name></noRegion></country><country name="États-Unis"><noRegion><name sortKey="Bhatt, Deepak L" sort="Bhatt, Deepak L" uniqKey="Bhatt D" first="Deepak L." last="Bhatt">Deepak L. Bhatt</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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