Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study
This study compared carotid ultrasound (CUS) and traditional risk calculations in determining cardiovascular disease (CVD) risk in patients with type 2 diabetes mellitus (DM) and investigated whether awareness of CVD affects patient and/or physician behavior. In this prospective, observational, mult...
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| Veröffentlicht in: | BMC cardiovascular disorders 2016-11, Vol.16 (1), p.220-220, Article 220 |
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| creator | Jeong, In-Kyung Kim, Sin-Gon Cho, Dong Hyeok Kim, Chong Hwa Kim, Chul Sik Lee, Won-Young Won, Kyu-Chang Kim, Doo-Man |
| description | This study compared carotid ultrasound (CUS) and traditional risk calculations in determining cardiovascular disease (CVD) risk in patients with type 2 diabetes mellitus (DM) and investigated whether awareness of CVD affects patient and/or physician behavior.
In this prospective, observational, multicenter study, 797 participants with type 2 diabetes were assessed using CUS, the United Kingdom Prospective Diabetes Study Risk Engine (UKPDSRE) calculator, and the Framingham Risk Score (FRS) algorithm. Health-related behaviors and physician treatments were compared at baseline and at 6 months after assessment.
According to CUS, 43.5 % of the participants were at high risk (compared to 10.6 % and 4.3 % using the UKPDSRE and FRS approaches, respectively). Interestingly, 31.5 % of the patients with low risk scores according to the UKPDSRE calculator and 35.8 % of the patients with low risk scores according to the FRS algorithm were found to be at high risk according to CUS. The proportion of patients who achieved target LDL-C levels significantly increased after CUS. Moreover, increased awareness of atherosclerosis through CUS findings significantly altered physician treatment patterns and patient health-related behaviors.
Carotid atherosclerosis was detected in more than 30 % of all participants with low or intermediate risk stratification scores. Improved awareness of atherosclerosis through CUS findings had a positive impact on both patient and physician behavior, resulting in improved CV risk management. |
| doi_str_mv | 10.1186/s12872-016-0401-5 |
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In this prospective, observational, multicenter study, 797 participants with type 2 diabetes were assessed using CUS, the United Kingdom Prospective Diabetes Study Risk Engine (UKPDSRE) calculator, and the Framingham Risk Score (FRS) algorithm. Health-related behaviors and physician treatments were compared at baseline and at 6 months after assessment.
According to CUS, 43.5 % of the participants were at high risk (compared to 10.6 % and 4.3 % using the UKPDSRE and FRS approaches, respectively). Interestingly, 31.5 % of the patients with low risk scores according to the UKPDSRE calculator and 35.8 % of the patients with low risk scores according to the FRS algorithm were found to be at high risk according to CUS. The proportion of patients who achieved target LDL-C levels significantly increased after CUS. Moreover, increased awareness of atherosclerosis through CUS findings significantly altered physician treatment patterns and patient health-related behaviors.
Carotid atherosclerosis was detected in more than 30 % of all participants with low or intermediate risk stratification scores. Improved awareness of atherosclerosis through CUS findings had a positive impact on both patient and physician behavior, resulting in improved CV risk management.</description><identifier>ISSN: 1471-2261</identifier><identifier>EISSN: 1471-2261</identifier><identifier>DOI: 10.1186/s12872-016-0401-5</identifier><identifier>PMID: 27842497</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Analysis ; Atherosclerosis ; Atherosclerosis - diagnosis ; Atherosclerosis - epidemiology ; Atherosclerosis - etiology ; Behavior ; Cardiovascular diseases ; Care and treatment ; Carotid Arteries - diagnostic imaging ; Carotid Arteries - physiopathology ; Carotid Artery Diseases - diagnosis ; Carotid Artery Diseases - epidemiology ; Carotid Artery Diseases - etiology ; Carotid Intima-Media Thickness ; Complications and side effects ; Diabetes Mellitus, Type 2 - complications ; Diabetes Mellitus, Type 2 - diagnosis ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Patients - psychology ; Physician and patient ; Physicians - psychology ; Prospective Studies ; Risk Assessment - methods ; Risk Factors ; Time Factors ; Type 2 diabetes ; United Kingdom - epidemiology</subject><ispartof>BMC cardiovascular disorders, 2016-11, Vol.16 (1), p.220-220, Article 220</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2016</rights><rights>The Author(s). 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-98aa9c702c8d31f4351f4da551d65a5476a54db5eaa9acf26c3f9b80cedeeffd3</citedby><cites>FETCH-LOGICAL-c494t-98aa9c702c8d31f4351f4da551d65a5476a54db5eaa9acf26c3f9b80cedeeffd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5109726/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5109726/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27842497$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jeong, In-Kyung</creatorcontrib><creatorcontrib>Kim, Sin-Gon</creatorcontrib><creatorcontrib>Cho, Dong Hyeok</creatorcontrib><creatorcontrib>Kim, Chong Hwa</creatorcontrib><creatorcontrib>Kim, Chul Sik</creatorcontrib><creatorcontrib>Lee, Won-Young</creatorcontrib><creatorcontrib>Won, Kyu-Chang</creatorcontrib><creatorcontrib>Kim, Doo-Man</creatorcontrib><title>Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study</title><title>BMC cardiovascular disorders</title><addtitle>BMC Cardiovasc Disord</addtitle><description>This study compared carotid ultrasound (CUS) and traditional risk calculations in determining cardiovascular disease (CVD) risk in patients with type 2 diabetes mellitus (DM) and investigated whether awareness of CVD affects patient and/or physician behavior.
In this prospective, observational, multicenter study, 797 participants with type 2 diabetes were assessed using CUS, the United Kingdom Prospective Diabetes Study Risk Engine (UKPDSRE) calculator, and the Framingham Risk Score (FRS) algorithm. Health-related behaviors and physician treatments were compared at baseline and at 6 months after assessment.
According to CUS, 43.5 % of the participants were at high risk (compared to 10.6 % and 4.3 % using the UKPDSRE and FRS approaches, respectively). Interestingly, 31.5 % of the patients with low risk scores according to the UKPDSRE calculator and 35.8 % of the patients with low risk scores according to the FRS algorithm were found to be at high risk according to CUS. The proportion of patients who achieved target LDL-C levels significantly increased after CUS. Moreover, increased awareness of atherosclerosis through CUS findings significantly altered physician treatment patterns and patient health-related behaviors.
Carotid atherosclerosis was detected in more than 30 % of all participants with low or intermediate risk stratification scores. Improved awareness of atherosclerosis through CUS findings had a positive impact on both patient and physician behavior, resulting in improved CV risk management.</description><subject>Adult</subject><subject>Analysis</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - diagnosis</subject><subject>Atherosclerosis - epidemiology</subject><subject>Atherosclerosis - etiology</subject><subject>Behavior</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Carotid Arteries - diagnostic imaging</subject><subject>Carotid Arteries - physiopathology</subject><subject>Carotid Artery Diseases - diagnosis</subject><subject>Carotid Artery Diseases - epidemiology</subject><subject>Carotid Artery Diseases - etiology</subject><subject>Carotid Intima-Media Thickness</subject><subject>Complications and side effects</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Patients - psychology</subject><subject>Physician and patient</subject><subject>Physicians - psychology</subject><subject>Prospective Studies</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>Time Factors</subject><subject>Type 2 diabetes</subject><subject>United Kingdom - epidemiology</subject><issn>1471-2261</issn><issn>1471-2261</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptksFu1DAQhiMEomXhAbggS1w4NMVO7DjmgFRV0FaqxAXO1sSe7LpK4mA7K-078ZA42lJahGJNovj_v_Ekf1G8ZfScsbb5GFnVyqqkrCkpp6wUz4pTxiUrq6phzx89nxSvYryjlMmWqpfFSSVbXnElT4tfN-MMJhHfEwPBJ2cJpB0GH82wVheJxYQmOT-RvObdITrjYCIwWTJDcjgl0uEO9s4H4iaS3WSECbY4rlsZnA4zkopYB11GRTLiMLi0xE8EyJx7zCt-j2fEdxHDHtZeMJyRcRmSMxmCgcS02MPr4kUPQ8Q39_dN8ePrl--X1-Xtt6uby4vb0nDFU6laAGUkrUxra9bzWuRiQQhmGwGCyyYX2wnMMjB91Zi6V11LDVrEvrf1pvh85M5LN6JdjxBg0HNwI4SD9uD0053J7fTW77VgVMmqyYAP94Dgfy4Ykx5dNHlsmNAvUbO2VrJua7lK3_8jvfNLyPOvKi4YV61Sf1VbGFC7qfe5r1mh-oJLKtqGZtymOP-PKl8WR2f8hL3L758Y2NFg8m-IAfuHGRnVa8T0MWI6R0yvEdMie949_jgPjj-Zqn8DW4HRFg</recordid><startdate>20161114</startdate><enddate>20161114</enddate><creator>Jeong, In-Kyung</creator><creator>Kim, Sin-Gon</creator><creator>Cho, Dong Hyeok</creator><creator>Kim, Chong Hwa</creator><creator>Kim, Chul Sik</creator><creator>Lee, Won-Young</creator><creator>Won, Kyu-Chang</creator><creator>Kim, Doo-Man</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20161114</creationdate><title>Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study</title><author>Jeong, In-Kyung ; Kim, Sin-Gon ; Cho, Dong Hyeok ; Kim, Chong Hwa ; Kim, Chul Sik ; Lee, Won-Young ; Won, Kyu-Chang ; Kim, Doo-Man</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-98aa9c702c8d31f4351f4da551d65a5476a54db5eaa9acf26c3f9b80cedeeffd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Analysis</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - diagnosis</topic><topic>Atherosclerosis - epidemiology</topic><topic>Atherosclerosis - etiology</topic><topic>Behavior</topic><topic>Cardiovascular diseases</topic><topic>Care and treatment</topic><topic>Carotid Arteries - diagnostic imaging</topic><topic>Carotid Arteries - physiopathology</topic><topic>Carotid Artery Diseases - diagnosis</topic><topic>Carotid Artery Diseases - epidemiology</topic><topic>Carotid Artery Diseases - etiology</topic><topic>Carotid Intima-Media Thickness</topic><topic>Complications and side effects</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetes Mellitus, Type 2 - diagnosis</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Patients - psychology</topic><topic>Physician and patient</topic><topic>Physicians - psychology</topic><topic>Prospective Studies</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>Time Factors</topic><topic>Type 2 diabetes</topic><topic>United Kingdom - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jeong, In-Kyung</creatorcontrib><creatorcontrib>Kim, Sin-Gon</creatorcontrib><creatorcontrib>Cho, Dong Hyeok</creatorcontrib><creatorcontrib>Kim, Chong Hwa</creatorcontrib><creatorcontrib>Kim, Chul Sik</creatorcontrib><creatorcontrib>Lee, Won-Young</creatorcontrib><creatorcontrib>Won, Kyu-Chang</creatorcontrib><creatorcontrib>Kim, Doo-Man</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>Medical Database</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC cardiovascular disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jeong, In-Kyung</au><au>Kim, Sin-Gon</au><au>Cho, Dong Hyeok</au><au>Kim, Chong Hwa</au><au>Kim, Chul Sik</au><au>Lee, Won-Young</au><au>Won, Kyu-Chang</au><au>Kim, Doo-Man</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study</atitle><jtitle>BMC cardiovascular disorders</jtitle><addtitle>BMC Cardiovasc Disord</addtitle><date>2016-11-14</date><risdate>2016</risdate><volume>16</volume><issue>1</issue><spage>220</spage><epage>220</epage><pages>220-220</pages><artnum>220</artnum><issn>1471-2261</issn><eissn>1471-2261</eissn><abstract>This study compared carotid ultrasound (CUS) and traditional risk calculations in determining cardiovascular disease (CVD) risk in patients with type 2 diabetes mellitus (DM) and investigated whether awareness of CVD affects patient and/or physician behavior.
In this prospective, observational, multicenter study, 797 participants with type 2 diabetes were assessed using CUS, the United Kingdom Prospective Diabetes Study Risk Engine (UKPDSRE) calculator, and the Framingham Risk Score (FRS) algorithm. Health-related behaviors and physician treatments were compared at baseline and at 6 months after assessment.
According to CUS, 43.5 % of the participants were at high risk (compared to 10.6 % and 4.3 % using the UKPDSRE and FRS approaches, respectively). Interestingly, 31.5 % of the patients with low risk scores according to the UKPDSRE calculator and 35.8 % of the patients with low risk scores according to the FRS algorithm were found to be at high risk according to CUS. The proportion of patients who achieved target LDL-C levels significantly increased after CUS. Moreover, increased awareness of atherosclerosis through CUS findings significantly altered physician treatment patterns and patient health-related behaviors.
Carotid atherosclerosis was detected in more than 30 % of all participants with low or intermediate risk stratification scores. Improved awareness of atherosclerosis through CUS findings had a positive impact on both patient and physician behavior, resulting in improved CV risk management.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>27842497</pmid><doi>10.1186/s12872-016-0401-5</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Analysis Atherosclerosis Atherosclerosis - diagnosis Atherosclerosis - epidemiology Atherosclerosis - etiology Behavior Cardiovascular diseases Care and treatment Carotid Arteries - diagnostic imaging Carotid Arteries - physiopathology Carotid Artery Diseases - diagnosis Carotid Artery Diseases - epidemiology Carotid Artery Diseases - etiology Carotid Intima-Media Thickness Complications and side effects Diabetes Mellitus, Type 2 - complications Diabetes Mellitus, Type 2 - diagnosis Female Follow-Up Studies Humans Male Middle Aged Patients - psychology Physician and patient Physicians - psychology Prospective Studies Risk Assessment - methods Risk Factors Time Factors Type 2 diabetes United Kingdom - epidemiology |
| title | Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study |
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