The Efficacy of the Charlson Comorbidity Index and Its Age-Adjusted Version in Forecasting Mortality and Postoperative Outcomes Following Isolated Coronary Artery Bypass Grafting
: The Charlson Comorbidity Index (CCI) is designed for evaluating comorbidities and mortality risks, with the age-adjusted CCI (ACCI) combining age and comorbidity assessments. Despite its long-standing use, research on CCI's application in cardiac surgery patients is limited. This study assess...
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creator | Baris, Ozgur Oksuzler Kizilbay, Gozde Holat, Canbolat Mert Uzturk, Mustafa Egemen Canikoglu, Mustafa Durmaz, Aysegul Omay, Oguz Yavuz, Sadan |
description | : The Charlson Comorbidity Index (CCI) is designed for evaluating comorbidities and mortality risks, with the age-adjusted CCI (ACCI) combining age and comorbidity assessments. Despite its long-standing use, research on CCI's application in cardiac surgery patients is limited. This study assessed the effectiveness of CCI and ACCI in predicting in-hospital mortality and post-surgery outcomes for patients undergoing isolated coronary artery bypass grafting (CABG).
: CCI and ACCI scores were derived from medical records between 2016 and 2022. Patient demographics, surgical techniques, and postoperative complications were documented.
: Totally 393 patients [297 (75.6%) males, 96 (24.4%) females] with an average age of 65 years were included. Median CCI and ACCI scores were 1 (1-2) and 4 (3-5), respectively. In-hospital mortality occurred in 5.9% (n = 23) of cases, with CCI being an independent predictor (OR 1.865, 95% CI 1.117-3.116;
= 0.017). Both CCI and ACCI scores negatively correlated with preoperative EF (%) and positively correlated with ICU and total hospital stay, cardiopulmonary bypass time, and cross-clamp time. ACCI score also positively correlated with extubation time. Patients categorized by CCI comorbidity severity (no comorbidity, mild, moderate, severe) showed a significant increase in postoperative complications with increasing severity, including postoperative VT (
= 0.000), acute renal failure (
= 0.009), pneumonia (
= 0.007), and in-hospital mortality (
= 0.001).
: Both CCI and ACCI are prognostic indicators for in-hospital mortality in isolated CABG surgery patients, effectively predicting postoperative complications, extended ICU stays, and prolonged hospital stays. Implementing these scoring systems could enhance patient care and improve surgical decision-making. |
doi_str_mv | 10.3390/jcm14020395 |
format | Article |
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: CCI and ACCI scores were derived from medical records between 2016 and 2022. Patient demographics, surgical techniques, and postoperative complications were documented.
: Totally 393 patients [297 (75.6%) males, 96 (24.4%) females] with an average age of 65 years were included. Median CCI and ACCI scores were 1 (1-2) and 4 (3-5), respectively. In-hospital mortality occurred in 5.9% (n = 23) of cases, with CCI being an independent predictor (OR 1.865, 95% CI 1.117-3.116;
= 0.017). Both CCI and ACCI scores negatively correlated with preoperative EF (%) and positively correlated with ICU and total hospital stay, cardiopulmonary bypass time, and cross-clamp time. ACCI score also positively correlated with extubation time. Patients categorized by CCI comorbidity severity (no comorbidity, mild, moderate, severe) showed a significant increase in postoperative complications with increasing severity, including postoperative VT (
= 0.000), acute renal failure (
= 0.009), pneumonia (
= 0.007), and in-hospital mortality (
= 0.001).
: Both CCI and ACCI are prognostic indicators for in-hospital mortality in isolated CABG surgery patients, effectively predicting postoperative complications, extended ICU stays, and prolonged hospital stays. Implementing these scoring systems could enhance patient care and improve surgical decision-making.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm14020395</identifier><identifier>PMID: 39860401</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Age ; Cardiovascular disease ; Cerebrovascular disease ; Chronic obstructive pulmonary disease ; Comorbidity ; Coronary vessels ; Diabetes ; Extubation ; Heart failure ; Heart surgery ; Hospitals ; Intensive care ; Ischemia ; Kidney diseases ; Length of stay ; Metastasis ; Mortality ; Normal distribution ; Patients ; Pneumonia ; Regression analysis ; Surgical outcomes ; Variables ; Veins & arteries</subject><ispartof>Journal of clinical medicine, 2025-01, Vol.14 (2), p.395</ispartof><rights>2025 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><rights>2025 by the authors. 2025</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2491-ae23e0615b8a7f31b70145a282f378db72b20f92d158a2ff841827460c454f123</cites><orcidid>0000-0001-9392-4525 ; 0009-0007-7918-1869 ; 0000-0002-8357-2463 ; 0000-0002-6462-7094 ; 0000-0001-5116-4361 ; 0000-0002-7231-4709</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11766137/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11766137/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39860401$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baris, Ozgur</creatorcontrib><creatorcontrib>Oksuzler Kizilbay, Gozde</creatorcontrib><creatorcontrib>Holat, Canbolat Mert</creatorcontrib><creatorcontrib>Uzturk, Mustafa Egemen</creatorcontrib><creatorcontrib>Canikoglu, Mustafa</creatorcontrib><creatorcontrib>Durmaz, Aysegul</creatorcontrib><creatorcontrib>Omay, Oguz</creatorcontrib><creatorcontrib>Yavuz, Sadan</creatorcontrib><title>The Efficacy of the Charlson Comorbidity Index and Its Age-Adjusted Version in Forecasting Mortality and Postoperative Outcomes Following Isolated Coronary Artery Bypass Grafting</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>: The Charlson Comorbidity Index (CCI) is designed for evaluating comorbidities and mortality risks, with the age-adjusted CCI (ACCI) combining age and comorbidity assessments. Despite its long-standing use, research on CCI's application in cardiac surgery patients is limited. This study assessed the effectiveness of CCI and ACCI in predicting in-hospital mortality and post-surgery outcomes for patients undergoing isolated coronary artery bypass grafting (CABG).
: CCI and ACCI scores were derived from medical records between 2016 and 2022. Patient demographics, surgical techniques, and postoperative complications were documented.
: Totally 393 patients [297 (75.6%) males, 96 (24.4%) females] with an average age of 65 years were included. Median CCI and ACCI scores were 1 (1-2) and 4 (3-5), respectively. In-hospital mortality occurred in 5.9% (n = 23) of cases, with CCI being an independent predictor (OR 1.865, 95% CI 1.117-3.116;
= 0.017). Both CCI and ACCI scores negatively correlated with preoperative EF (%) and positively correlated with ICU and total hospital stay, cardiopulmonary bypass time, and cross-clamp time. ACCI score also positively correlated with extubation time. Patients categorized by CCI comorbidity severity (no comorbidity, mild, moderate, severe) showed a significant increase in postoperative complications with increasing severity, including postoperative VT (
= 0.000), acute renal failure (
= 0.009), pneumonia (
= 0.007), and in-hospital mortality (
= 0.001).
: Both CCI and ACCI are prognostic indicators for in-hospital mortality in isolated CABG surgery patients, effectively predicting postoperative complications, extended ICU stays, and prolonged hospital stays. Implementing these scoring systems could enhance patient care and improve surgical decision-making.</description><subject>Age</subject><subject>Cardiovascular disease</subject><subject>Cerebrovascular disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Comorbidity</subject><subject>Coronary vessels</subject><subject>Diabetes</subject><subject>Extubation</subject><subject>Heart failure</subject><subject>Heart surgery</subject><subject>Hospitals</subject><subject>Intensive care</subject><subject>Ischemia</subject><subject>Kidney diseases</subject><subject>Length of stay</subject><subject>Metastasis</subject><subject>Mortality</subject><subject>Normal distribution</subject><subject>Patients</subject><subject>Pneumonia</subject><subject>Regression analysis</subject><subject>Surgical outcomes</subject><subject>Variables</subject><subject>Veins & arteries</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkk1v1DAQhiMEolXpiTuyxAUJBfyV2DmhJWrLSkXlULhGjjPe9SqxF9sp7N_iF-LQUi3MZWbk5301I09RvCT4HWMNfr_TE-GYYtZUT4pTioUoMZPs6VF9UpzHuMM5pOSUiOfFCWtkjTkmp8Wv2y2gC2OsVvqAvEEp9-1WhTF6h1o_-dDbwaYDWrsBfiLlBrROEa02UK6G3RwTDOgbhGgzbh269AG0ism6DfrsQ1Ljol1UX3xMfg9BJXsH6GZO2k8Qs2Ac_Y8FX0c_qsWu9cE7FQ5oFRLk9PGwVzGiq6DM4vuieGbUGOH8IZ8VXy8vbttP5fXN1bpdXZea8oaUCigDXJOql0oYRnqBCa8UldQwIYde0J5i09CBVFJRYyQnkgpeY80rbghlZ8WHe9_93E8waHApqLHbBzvl4TqvbPfvi7PbbuPvOkJEXRMmssObB4fgv88QUzfZqGEclQM_x46RqpGY8gpn9PV_6M7PweX9_lC8khg3mXp7T-ngYwxgHqchuFvuoTu6h0y_Ol7gkf37--w3hZ6y2Q</recordid><startdate>20250110</startdate><enddate>20250110</enddate><creator>Baris, Ozgur</creator><creator>Oksuzler Kizilbay, Gozde</creator><creator>Holat, Canbolat Mert</creator><creator>Uzturk, Mustafa Egemen</creator><creator>Canikoglu, Mustafa</creator><creator>Durmaz, Aysegul</creator><creator>Omay, Oguz</creator><creator>Yavuz, Sadan</creator><general>MDPI AG</general><general>MDPI</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>COVID</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><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9392-4525</orcidid><orcidid>https://orcid.org/0009-0007-7918-1869</orcidid><orcidid>https://orcid.org/0000-0002-8357-2463</orcidid><orcidid>https://orcid.org/0000-0002-6462-7094</orcidid><orcidid>https://orcid.org/0000-0001-5116-4361</orcidid><orcidid>https://orcid.org/0000-0002-7231-4709</orcidid></search><sort><creationdate>20250110</creationdate><title>The Efficacy of the Charlson Comorbidity Index and Its Age-Adjusted Version in Forecasting Mortality and Postoperative Outcomes Following Isolated Coronary Artery Bypass Grafting</title><author>Baris, Ozgur ; Oksuzler Kizilbay, Gozde ; Holat, Canbolat Mert ; Uzturk, Mustafa Egemen ; Canikoglu, Mustafa ; Durmaz, Aysegul ; Omay, Oguz ; Yavuz, Sadan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2491-ae23e0615b8a7f31b70145a282f378db72b20f92d158a2ff841827460c454f123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Age</topic><topic>Cardiovascular disease</topic><topic>Cerebrovascular disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Comorbidity</topic><topic>Coronary vessels</topic><topic>Diabetes</topic><topic>Extubation</topic><topic>Heart failure</topic><topic>Heart surgery</topic><topic>Hospitals</topic><topic>Intensive care</topic><topic>Ischemia</topic><topic>Kidney diseases</topic><topic>Length of stay</topic><topic>Metastasis</topic><topic>Mortality</topic><topic>Normal distribution</topic><topic>Patients</topic><topic>Pneumonia</topic><topic>Regression analysis</topic><topic>Surgical outcomes</topic><topic>Variables</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baris, Ozgur</creatorcontrib><creatorcontrib>Oksuzler Kizilbay, Gozde</creatorcontrib><creatorcontrib>Holat, Canbolat Mert</creatorcontrib><creatorcontrib>Uzturk, Mustafa Egemen</creatorcontrib><creatorcontrib>Canikoglu, Mustafa</creatorcontrib><creatorcontrib>Durmaz, Aysegul</creatorcontrib><creatorcontrib>Omay, Oguz</creatorcontrib><creatorcontrib>Yavuz, Sadan</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>Coronavirus Research Database</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baris, Ozgur</au><au>Oksuzler Kizilbay, Gozde</au><au>Holat, Canbolat Mert</au><au>Uzturk, Mustafa Egemen</au><au>Canikoglu, Mustafa</au><au>Durmaz, Aysegul</au><au>Omay, Oguz</au><au>Yavuz, Sadan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Efficacy of the Charlson Comorbidity Index and Its Age-Adjusted Version in Forecasting Mortality and Postoperative Outcomes Following Isolated Coronary Artery Bypass Grafting</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2025-01-10</date><risdate>2025</risdate><volume>14</volume><issue>2</issue><spage>395</spage><pages>395-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>: The Charlson Comorbidity Index (CCI) is designed for evaluating comorbidities and mortality risks, with the age-adjusted CCI (ACCI) combining age and comorbidity assessments. Despite its long-standing use, research on CCI's application in cardiac surgery patients is limited. This study assessed the effectiveness of CCI and ACCI in predicting in-hospital mortality and post-surgery outcomes for patients undergoing isolated coronary artery bypass grafting (CABG).
: CCI and ACCI scores were derived from medical records between 2016 and 2022. Patient demographics, surgical techniques, and postoperative complications were documented.
: Totally 393 patients [297 (75.6%) males, 96 (24.4%) females] with an average age of 65 years were included. Median CCI and ACCI scores were 1 (1-2) and 4 (3-5), respectively. In-hospital mortality occurred in 5.9% (n = 23) of cases, with CCI being an independent predictor (OR 1.865, 95% CI 1.117-3.116;
= 0.017). Both CCI and ACCI scores negatively correlated with preoperative EF (%) and positively correlated with ICU and total hospital stay, cardiopulmonary bypass time, and cross-clamp time. ACCI score also positively correlated with extubation time. Patients categorized by CCI comorbidity severity (no comorbidity, mild, moderate, severe) showed a significant increase in postoperative complications with increasing severity, including postoperative VT (
= 0.000), acute renal failure (
= 0.009), pneumonia (
= 0.007), and in-hospital mortality (
= 0.001).
: Both CCI and ACCI are prognostic indicators for in-hospital mortality in isolated CABG surgery patients, effectively predicting postoperative complications, extended ICU stays, and prolonged hospital stays. Implementing these scoring systems could enhance patient care and improve surgical decision-making.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39860401</pmid><doi>10.3390/jcm14020395</doi><orcidid>https://orcid.org/0000-0001-9392-4525</orcidid><orcidid>https://orcid.org/0009-0007-7918-1869</orcidid><orcidid>https://orcid.org/0000-0002-8357-2463</orcidid><orcidid>https://orcid.org/0000-0002-6462-7094</orcidid><orcidid>https://orcid.org/0000-0001-5116-4361</orcidid><orcidid>https://orcid.org/0000-0002-7231-4709</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Cardiovascular disease Cerebrovascular disease Chronic obstructive pulmonary disease Comorbidity Coronary vessels Diabetes Extubation Heart failure Heart surgery Hospitals Intensive care Ischemia Kidney diseases Length of stay Metastasis Mortality Normal distribution Patients Pneumonia Regression analysis Surgical outcomes Variables Veins & arteries |
title | The Efficacy of the Charlson Comorbidity Index and Its Age-Adjusted Version in Forecasting Mortality and Postoperative Outcomes Following Isolated Coronary Artery Bypass Grafting |
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