Predictive value of abdominal aortic calcification index for mid-term cardiovascular events in patients with acute coronary syndrome
The utility of abdominal aortic calcification (AAC) for prediction of cardiovascular events (CVEs) in patients with acute coronary syndrome (ACS) remains to be determined. The aim of this prospective study was to determine the predictive value of the abdominal aortic calcification index (ACI), a sem...
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| creator | Oishi, Hideo Horibe, Hideki Yamase, Yuichiro Ueyama, Chikara Takemoto, Yoshio Shigeta, Toshimasa Hibino, Takeshi Kondo, Taizo Suzuki, Susumu Ishii, Hideki Murohara, Toyoaki |
| description | The utility of abdominal aortic calcification (AAC) for prediction of cardiovascular events (CVEs) in patients with acute coronary syndrome (ACS) remains to be determined. The aim of this prospective study was to determine the predictive value of the abdominal aortic calcification index (ACI), a semi-quantitative measure of AAC, for CVEs in patients with ACS. We evaluated 314 patients with ACS. All patients underwent successful percutaneous coronary intervention to the culprit coronary vessel without in-hospital adverse events. ACI was calculated on non-contrast computed tomography images. CVEs were defined as a composite of cardiovascular death, ACS recurrence, and stroke. During a median follow-up period of 19.1 months, CVEs occurred in 29 patients (9.2%). Multivariable regression analysis after adjustment for age and gender showed a significantly higher baseline ACI in patients with CVEs than in those without [median (interquartile ranges), 42.1 (25.9–60.2) vs. 20.8 (8.8–38.6) %;
P
= 0.021]. The cutoff value of ACI for prediction of CVEs, estimated by receiver-operating characteristic analysis, was 29.2%, with sensitivity of 76% and specificity of 64% (area under the curve, 0.69). After adjustment for conventional cardiovascular risk factors, Cox analysis showed high ACI (≥29.2%) to be significantly associated with increased risk of CVEs (
P
= 0.011; hazard ratio, 1.82). Multivariate analysis identified high ACI as an independent predictor of CVEs (
P
= 0.012; hazard ratio, 1.80). Stepwise forward selection procedure also showed that high ACI was a significant independent determinant of CVEs (
P
= 0.004;
R
2
, 0.089). Both net reclassification improvement (0.64;
P
= 0.001) and integrated discrimination improvement (0.04;
P
|
| doi_str_mv | 10.1007/s00380-019-01527-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2313649958</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2313649958</sourcerecordid><originalsourceid>FETCH-LOGICAL-c399t-6d180ca06eb9dffe4b61dbdf9398bb165a96aafa37b3bb7290e6cdb5d43675a73</originalsourceid><addsrcrecordid>eNp9kc2OFCEURonROO3oC7gwJG7clEJRBcXSTMafZBJd6Jpc4KJMqooWqNbZ--DS06MmLlwQSDjfdwOHkKecveSMqVeFMTGxjnHd1tirTt4jOy752PWjEvfJjmnOukn06ow8KuWaNUpz_ZCcCa6YGrnckZ8fM_roajwgPcC8IU2BgvVpiSvMFFKu0VEHs4shOqgxrTSuHn_QkDJdou8q5qUB2cd0gOK2GTLFA661NJDuW-T2_D3WrxTcVpG6lNMK-YaWm9XntOBj8iDAXPDJ3X5OPr-5_HTxrrv68Pb9xeurzgmtayc9n5gDJtFqHwIOVnJvfdBCT9ZyOYKWAAGEssJa1WuG0nk7-kFINYIS5-TFqXef07cNSzVLLA7nGVZMWzG94EIOWo9TQ5__g16nLbcvOVKT1MOg-yPVnyiXUykZg9nnuLSnGc7M0ZE5OTLNkbl1ZGQLPbur3uyC_k_kt5QGiBNQ2tX6BfPf2f-p_QViUJ_a</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2386944928</pqid></control><display><type>article</type><title>Predictive value of abdominal aortic calcification index for mid-term cardiovascular events in patients with acute coronary syndrome</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Oishi, Hideo ; Horibe, Hideki ; Yamase, Yuichiro ; Ueyama, Chikara ; Takemoto, Yoshio ; Shigeta, Toshimasa ; Hibino, Takeshi ; Kondo, Taizo ; Suzuki, Susumu ; Ishii, Hideki ; Murohara, Toyoaki</creator><creatorcontrib>Oishi, Hideo ; Horibe, Hideki ; Yamase, Yuichiro ; Ueyama, Chikara ; Takemoto, Yoshio ; Shigeta, Toshimasa ; Hibino, Takeshi ; Kondo, Taizo ; Suzuki, Susumu ; Ishii, Hideki ; Murohara, Toyoaki</creatorcontrib><description>The utility of abdominal aortic calcification (AAC) for prediction of cardiovascular events (CVEs) in patients with acute coronary syndrome (ACS) remains to be determined. The aim of this prospective study was to determine the predictive value of the abdominal aortic calcification index (ACI), a semi-quantitative measure of AAC, for CVEs in patients with ACS. We evaluated 314 patients with ACS. All patients underwent successful percutaneous coronary intervention to the culprit coronary vessel without in-hospital adverse events. ACI was calculated on non-contrast computed tomography images. CVEs were defined as a composite of cardiovascular death, ACS recurrence, and stroke. During a median follow-up period of 19.1 months, CVEs occurred in 29 patients (9.2%). Multivariable regression analysis after adjustment for age and gender showed a significantly higher baseline ACI in patients with CVEs than in those without [median (interquartile ranges), 42.1 (25.9–60.2) vs. 20.8 (8.8–38.6) %;
P
= 0.021]. The cutoff value of ACI for prediction of CVEs, estimated by receiver-operating characteristic analysis, was 29.2%, with sensitivity of 76% and specificity of 64% (area under the curve, 0.69). After adjustment for conventional cardiovascular risk factors, Cox analysis showed high ACI (≥29.2%) to be significantly associated with increased risk of CVEs (
P
= 0.011; hazard ratio, 1.82). Multivariate analysis identified high ACI as an independent predictor of CVEs (
P
= 0.012; hazard ratio, 1.80). Stepwise forward selection procedure also showed that high ACI was a significant independent determinant of CVEs (
P
= 0.004;
R
2
, 0.089). Both net reclassification improvement (0.64;
P
= 0.001) and integrated discrimination improvement (0.04;
P
< 0.001) improved significantly after the addition of high ACI to conventional risk factors. Evaluation of ACI using CT seems to provide valuable clinical information for proper assessment of mid-term CVEs in patients with ACS after percutaneous coronary intervention.</description><identifier>ISSN: 0910-8327</identifier><identifier>EISSN: 1615-2573</identifier><identifier>DOI: 10.1007/s00380-019-01527-6</identifier><identifier>PMID: 31707516</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Abdomen ; Acute Coronary Syndrome - diagnostic imaging ; Acute Coronary Syndrome - mortality ; Acute Coronary Syndrome - therapy ; Acute coronary syndromes ; Aged ; Aged, 80 and over ; Angioplasty ; Aorta ; Aorta, Abdominal - diagnostic imaging ; Aortic Diseases - diagnostic imaging ; Aortic Diseases - mortality ; Aortography ; Biomedical Engineering and Bioengineering ; Blood vessels ; Calcification ; Calcification (ectopic) ; Cardiac Surgery ; Cardiology ; Cardiovascular diseases ; Computed tomography ; Computed Tomography Angiography ; Evaluation ; Female ; Health hazards ; Health risk assessment ; Health risks ; Humans ; Image contrast ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Multivariate analysis ; Original Article ; Patients ; Percutaneous Coronary Intervention - adverse effects ; Percutaneous Coronary Intervention - mortality ; Predictive Value of Tests ; Prospective Studies ; Reclassification ; Recurrence ; Regression analysis ; Risk analysis ; Risk Assessment ; Risk Factors ; Severity of Illness Index ; Stroke - mortality ; Time Factors ; Treatment Outcome ; Vascular Calcification - diagnostic imaging ; Vascular Calcification - mortality ; Vascular Surgery</subject><ispartof>Heart and vessels, 2020-05, Vol.35 (5), p.620-629</ispartof><rights>Springer Japan KK, part of Springer Nature 2019</rights><rights>Springer Japan KK, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-6d180ca06eb9dffe4b61dbdf9398bb165a96aafa37b3bb7290e6cdb5d43675a73</citedby><cites>FETCH-LOGICAL-c399t-6d180ca06eb9dffe4b61dbdf9398bb165a96aafa37b3bb7290e6cdb5d43675a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00380-019-01527-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00380-019-01527-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31707516$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oishi, Hideo</creatorcontrib><creatorcontrib>Horibe, Hideki</creatorcontrib><creatorcontrib>Yamase, Yuichiro</creatorcontrib><creatorcontrib>Ueyama, Chikara</creatorcontrib><creatorcontrib>Takemoto, Yoshio</creatorcontrib><creatorcontrib>Shigeta, Toshimasa</creatorcontrib><creatorcontrib>Hibino, Takeshi</creatorcontrib><creatorcontrib>Kondo, Taizo</creatorcontrib><creatorcontrib>Suzuki, Susumu</creatorcontrib><creatorcontrib>Ishii, Hideki</creatorcontrib><creatorcontrib>Murohara, Toyoaki</creatorcontrib><title>Predictive value of abdominal aortic calcification index for mid-term cardiovascular events in patients with acute coronary syndrome</title><title>Heart and vessels</title><addtitle>Heart Vessels</addtitle><addtitle>Heart Vessels</addtitle><description>The utility of abdominal aortic calcification (AAC) for prediction of cardiovascular events (CVEs) in patients with acute coronary syndrome (ACS) remains to be determined. The aim of this prospective study was to determine the predictive value of the abdominal aortic calcification index (ACI), a semi-quantitative measure of AAC, for CVEs in patients with ACS. We evaluated 314 patients with ACS. All patients underwent successful percutaneous coronary intervention to the culprit coronary vessel without in-hospital adverse events. ACI was calculated on non-contrast computed tomography images. CVEs were defined as a composite of cardiovascular death, ACS recurrence, and stroke. During a median follow-up period of 19.1 months, CVEs occurred in 29 patients (9.2%). Multivariable regression analysis after adjustment for age and gender showed a significantly higher baseline ACI in patients with CVEs than in those without [median (interquartile ranges), 42.1 (25.9–60.2) vs. 20.8 (8.8–38.6) %;
P
= 0.021]. The cutoff value of ACI for prediction of CVEs, estimated by receiver-operating characteristic analysis, was 29.2%, with sensitivity of 76% and specificity of 64% (area under the curve, 0.69). After adjustment for conventional cardiovascular risk factors, Cox analysis showed high ACI (≥29.2%) to be significantly associated with increased risk of CVEs (
P
= 0.011; hazard ratio, 1.82). Multivariate analysis identified high ACI as an independent predictor of CVEs (
P
= 0.012; hazard ratio, 1.80). Stepwise forward selection procedure also showed that high ACI was a significant independent determinant of CVEs (
P
= 0.004;
R
2
, 0.089). Both net reclassification improvement (0.64;
P
= 0.001) and integrated discrimination improvement (0.04;
P
< 0.001) improved significantly after the addition of high ACI to conventional risk factors. Evaluation of ACI using CT seems to provide valuable clinical information for proper assessment of mid-term CVEs in patients with ACS after percutaneous coronary intervention.</description><subject>Abdomen</subject><subject>Acute Coronary Syndrome - diagnostic imaging</subject><subject>Acute Coronary Syndrome - mortality</subject><subject>Acute Coronary Syndrome - therapy</subject><subject>Acute coronary syndromes</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Angioplasty</subject><subject>Aorta</subject><subject>Aorta, Abdominal - diagnostic imaging</subject><subject>Aortic Diseases - diagnostic imaging</subject><subject>Aortic Diseases - mortality</subject><subject>Aortography</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Blood vessels</subject><subject>Calcification</subject><subject>Calcification (ectopic)</subject><subject>Cardiac Surgery</subject><subject>Cardiology</subject><subject>Cardiovascular diseases</subject><subject>Computed tomography</subject><subject>Computed Tomography Angiography</subject><subject>Evaluation</subject><subject>Female</subject><subject>Health hazards</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Humans</subject><subject>Image contrast</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Multivariate analysis</subject><subject>Original Article</subject><subject>Patients</subject><subject>Percutaneous Coronary Intervention - adverse effects</subject><subject>Percutaneous Coronary Intervention - mortality</subject><subject>Predictive Value of Tests</subject><subject>Prospective Studies</subject><subject>Reclassification</subject><subject>Recurrence</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Severity of Illness Index</subject><subject>Stroke - mortality</subject><subject>Time Factors</subject><subject>Treatment Outcome</subject><subject>Vascular Calcification - diagnostic imaging</subject><subject>Vascular Calcification - mortality</subject><subject>Vascular Surgery</subject><issn>0910-8327</issn><issn>1615-2573</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc2OFCEURonROO3oC7gwJG7clEJRBcXSTMafZBJd6Jpc4KJMqooWqNbZ--DS06MmLlwQSDjfdwOHkKecveSMqVeFMTGxjnHd1tirTt4jOy752PWjEvfJjmnOukn06ow8KuWaNUpz_ZCcCa6YGrnckZ8fM_roajwgPcC8IU2BgvVpiSvMFFKu0VEHs4shOqgxrTSuHn_QkDJdou8q5qUB2cd0gOK2GTLFA661NJDuW-T2_D3WrxTcVpG6lNMK-YaWm9XntOBj8iDAXPDJ3X5OPr-5_HTxrrv68Pb9xeurzgmtayc9n5gDJtFqHwIOVnJvfdBCT9ZyOYKWAAGEssJa1WuG0nk7-kFINYIS5-TFqXef07cNSzVLLA7nGVZMWzG94EIOWo9TQ5__g16nLbcvOVKT1MOg-yPVnyiXUykZg9nnuLSnGc7M0ZE5OTLNkbl1ZGQLPbur3uyC_k_kt5QGiBNQ2tX6BfPf2f-p_QViUJ_a</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Oishi, Hideo</creator><creator>Horibe, Hideki</creator><creator>Yamase, Yuichiro</creator><creator>Ueyama, Chikara</creator><creator>Takemoto, Yoshio</creator><creator>Shigeta, Toshimasa</creator><creator>Hibino, Takeshi</creator><creator>Kondo, Taizo</creator><creator>Suzuki, Susumu</creator><creator>Ishii, Hideki</creator><creator>Murohara, Toyoaki</creator><general>Springer Japan</general><general>Springer Nature B.V</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20200501</creationdate><title>Predictive value of abdominal aortic calcification index for mid-term cardiovascular events in patients with acute coronary syndrome</title><author>Oishi, Hideo ; Horibe, Hideki ; Yamase, Yuichiro ; Ueyama, Chikara ; Takemoto, Yoshio ; Shigeta, Toshimasa ; Hibino, Takeshi ; Kondo, Taizo ; Suzuki, Susumu ; Ishii, Hideki ; Murohara, Toyoaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-6d180ca06eb9dffe4b61dbdf9398bb165a96aafa37b3bb7290e6cdb5d43675a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Abdomen</topic><topic>Acute Coronary Syndrome - diagnostic imaging</topic><topic>Acute Coronary Syndrome - mortality</topic><topic>Acute Coronary Syndrome - therapy</topic><topic>Acute coronary syndromes</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Angioplasty</topic><topic>Aorta</topic><topic>Aorta, Abdominal - diagnostic imaging</topic><topic>Aortic Diseases - diagnostic imaging</topic><topic>Aortic Diseases - mortality</topic><topic>Aortography</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Blood vessels</topic><topic>Calcification</topic><topic>Calcification (ectopic)</topic><topic>Cardiac Surgery</topic><topic>Cardiology</topic><topic>Cardiovascular diseases</topic><topic>Computed tomography</topic><topic>Computed Tomography Angiography</topic><topic>Evaluation</topic><topic>Female</topic><topic>Health hazards</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Humans</topic><topic>Image contrast</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>Original Article</topic><topic>Patients</topic><topic>Percutaneous Coronary Intervention - adverse effects</topic><topic>Percutaneous Coronary Intervention - mortality</topic><topic>Predictive Value of Tests</topic><topic>Prospective Studies</topic><topic>Reclassification</topic><topic>Recurrence</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Severity of Illness Index</topic><topic>Stroke - mortality</topic><topic>Time Factors</topic><topic>Treatment Outcome</topic><topic>Vascular Calcification - diagnostic imaging</topic><topic>Vascular Calcification - mortality</topic><topic>Vascular Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oishi, Hideo</creatorcontrib><creatorcontrib>Horibe, Hideki</creatorcontrib><creatorcontrib>Yamase, Yuichiro</creatorcontrib><creatorcontrib>Ueyama, Chikara</creatorcontrib><creatorcontrib>Takemoto, Yoshio</creatorcontrib><creatorcontrib>Shigeta, Toshimasa</creatorcontrib><creatorcontrib>Hibino, Takeshi</creatorcontrib><creatorcontrib>Kondo, Taizo</creatorcontrib><creatorcontrib>Suzuki, Susumu</creatorcontrib><creatorcontrib>Ishii, Hideki</creatorcontrib><creatorcontrib>Murohara, Toyoaki</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Heart and vessels</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oishi, Hideo</au><au>Horibe, Hideki</au><au>Yamase, Yuichiro</au><au>Ueyama, Chikara</au><au>Takemoto, Yoshio</au><au>Shigeta, Toshimasa</au><au>Hibino, Takeshi</au><au>Kondo, Taizo</au><au>Suzuki, Susumu</au><au>Ishii, Hideki</au><au>Murohara, Toyoaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive value of abdominal aortic calcification index for mid-term cardiovascular events in patients with acute coronary syndrome</atitle><jtitle>Heart and vessels</jtitle><stitle>Heart Vessels</stitle><addtitle>Heart Vessels</addtitle><date>2020-05-01</date><risdate>2020</risdate><volume>35</volume><issue>5</issue><spage>620</spage><epage>629</epage><pages>620-629</pages><issn>0910-8327</issn><eissn>1615-2573</eissn><abstract>The utility of abdominal aortic calcification (AAC) for prediction of cardiovascular events (CVEs) in patients with acute coronary syndrome (ACS) remains to be determined. The aim of this prospective study was to determine the predictive value of the abdominal aortic calcification index (ACI), a semi-quantitative measure of AAC, for CVEs in patients with ACS. We evaluated 314 patients with ACS. All patients underwent successful percutaneous coronary intervention to the culprit coronary vessel without in-hospital adverse events. ACI was calculated on non-contrast computed tomography images. CVEs were defined as a composite of cardiovascular death, ACS recurrence, and stroke. During a median follow-up period of 19.1 months, CVEs occurred in 29 patients (9.2%). Multivariable regression analysis after adjustment for age and gender showed a significantly higher baseline ACI in patients with CVEs than in those without [median (interquartile ranges), 42.1 (25.9–60.2) vs. 20.8 (8.8–38.6) %;
P
= 0.021]. The cutoff value of ACI for prediction of CVEs, estimated by receiver-operating characteristic analysis, was 29.2%, with sensitivity of 76% and specificity of 64% (area under the curve, 0.69). After adjustment for conventional cardiovascular risk factors, Cox analysis showed high ACI (≥29.2%) to be significantly associated with increased risk of CVEs (
P
= 0.011; hazard ratio, 1.82). Multivariate analysis identified high ACI as an independent predictor of CVEs (
P
= 0.012; hazard ratio, 1.80). Stepwise forward selection procedure also showed that high ACI was a significant independent determinant of CVEs (
P
= 0.004;
R
2
, 0.089). Both net reclassification improvement (0.64;
P
= 0.001) and integrated discrimination improvement (0.04;
P
< 0.001) improved significantly after the addition of high ACI to conventional risk factors. Evaluation of ACI using CT seems to provide valuable clinical information for proper assessment of mid-term CVEs in patients with ACS after percutaneous coronary intervention.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>31707516</pmid><doi>10.1007/s00380-019-01527-6</doi><tpages>10</tpages></addata></record> |
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| subjects | Abdomen Acute Coronary Syndrome - diagnostic imaging Acute Coronary Syndrome - mortality Acute Coronary Syndrome - therapy Acute coronary syndromes Aged Aged, 80 and over Angioplasty Aorta Aorta, Abdominal - diagnostic imaging Aortic Diseases - diagnostic imaging Aortic Diseases - mortality Aortography Biomedical Engineering and Bioengineering Blood vessels Calcification Calcification (ectopic) Cardiac Surgery Cardiology Cardiovascular diseases Computed tomography Computed Tomography Angiography Evaluation Female Health hazards Health risk assessment Health risks Humans Image contrast Male Medicine Medicine & Public Health Middle Aged Multivariate analysis Original Article Patients Percutaneous Coronary Intervention - adverse effects Percutaneous Coronary Intervention - mortality Predictive Value of Tests Prospective Studies Reclassification Recurrence Regression analysis Risk analysis Risk Assessment Risk Factors Severity of Illness Index Stroke - mortality Time Factors Treatment Outcome Vascular Calcification - diagnostic imaging Vascular Calcification - mortality Vascular Surgery |
| title | Predictive value of abdominal aortic calcification index for mid-term cardiovascular events in patients with acute coronary syndrome |
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