Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score
Summary We evaluated mortality in a cohort of hip fracture patients and implemented a risk prediction score named ASAgeCoGeCC with excellent discrimination. It allowed to separate patients in 3 different risk groups with distinct mortality rates. Recognition of the heterogeneity of patients with fem...
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Veröffentlicht in: | Osteoporosis international 2021-10, Vol.32 (10), p.2023-2031 |
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description | Summary
We evaluated mortality in a cohort of hip fracture patients and implemented a risk prediction score named ASAgeCoGeCC with excellent discrimination. It allowed to separate patients in 3 different risk groups with distinct mortality rates. Recognition of the heterogeneity of patients with femoral fractures may have relevant implications for their management.
Introduction
Usage of risk prediction models to estimate postoperative mortality risk for hip fracture patients represents a useful tool to give insight in the prognosis and assist in clinical decision-making. The aim of this study was to identify a predictive model able to determine the possible presence of distinct subgroups of hip fracture patients by risk classes in the mid-term.
Methods
Three hundred twenty-three hip fracture patients were evaluated, and mortality rates at 30 days, 1, 2, and 4 years were calculated. A multivariate logistic regression analysis using mortality 4 years after fracture as a dependent variable found ASA score, age, cognitive status, gender, and Charlson Comorbidities Index (CCI) as significant risk factors. Using these items, a score named ASAgeCoGeCC was implemented and compared with CCI and Nottingham Hip Fracture Score (NHFS) by a receiver operating characteristic (ROC) curve.
Results
The area under the ROC curve for ASAgeCoGeCC was always greater than that of CCI and NHFS and ranged between 0.804 and 0.820 suggesting an excellent discrimination. The ASAgeCoGeCC logistic model showed also a good calibration. Patients were divided in 3 groups: a low risk group, an intermediate risk group with an odds ratio for 4-year mortality of 5.6 (95% CI 2.9–10.6), and a high risk group with an odds ratio 21.6 (95% CI 10.6–44).
Conclusion
The ASAgeCoGeCC Score is a predictive tool for mortality after hip fracture with good calibration and excellent discrimination properties. It is the first scoring system stratifying hip fracture patients’ mortality at 4 years from fracture. |
doi_str_mv | 10.1007/s00198-021-05932-4 |
format | Article |
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We evaluated mortality in a cohort of hip fracture patients and implemented a risk prediction score named ASAgeCoGeCC with excellent discrimination. It allowed to separate patients in 3 different risk groups with distinct mortality rates. Recognition of the heterogeneity of patients with femoral fractures may have relevant implications for their management.
Introduction
Usage of risk prediction models to estimate postoperative mortality risk for hip fracture patients represents a useful tool to give insight in the prognosis and assist in clinical decision-making. The aim of this study was to identify a predictive model able to determine the possible presence of distinct subgroups of hip fracture patients by risk classes in the mid-term.
Methods
Three hundred twenty-three hip fracture patients were evaluated, and mortality rates at 30 days, 1, 2, and 4 years were calculated. A multivariate logistic regression analysis using mortality 4 years after fracture as a dependent variable found ASA score, age, cognitive status, gender, and Charlson Comorbidities Index (CCI) as significant risk factors. Using these items, a score named ASAgeCoGeCC was implemented and compared with CCI and Nottingham Hip Fracture Score (NHFS) by a receiver operating characteristic (ROC) curve.
Results
The area under the ROC curve for ASAgeCoGeCC was always greater than that of CCI and NHFS and ranged between 0.804 and 0.820 suggesting an excellent discrimination. The ASAgeCoGeCC logistic model showed also a good calibration. Patients were divided in 3 groups: a low risk group, an intermediate risk group with an odds ratio for 4-year mortality of 5.6 (95% CI 2.9–10.6), and a high risk group with an odds ratio 21.6 (95% CI 10.6–44).
Conclusion
The ASAgeCoGeCC Score is a predictive tool for mortality after hip fracture with good calibration and excellent discrimination properties. It is the first scoring system stratifying hip fracture patients’ mortality at 4 years from fracture.</description><identifier>ISSN: 0937-941X</identifier><identifier>EISSN: 1433-2965</identifier><identifier>DOI: 10.1007/s00198-021-05932-4</identifier><identifier>PMID: 33811493</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Cognitive ability ; Decision making ; Endocrinology ; Femur ; Fractures ; Hip ; Medicine ; Medicine & Public Health ; Mortality ; Older people ; Original Article ; Orthopedics ; Osteoporosis ; Patients ; Prediction models ; Rheumatology ; Risk factors ; Risk groups</subject><ispartof>Osteoporosis international, 2021-10, Vol.32 (10), p.2023-2031</ispartof><rights>International Osteoporosis Foundation and National Osteoporosis Foundation 2021</rights><rights>International Osteoporosis Foundation and National Osteoporosis Foundation 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-85799df9f5b7bc4c5734c185d93f34858117be4c7b09613f787c86ecf3c543353</citedby><cites>FETCH-LOGICAL-c375t-85799df9f5b7bc4c5734c185d93f34858117be4c7b09613f787c86ecf3c543353</cites><orcidid>0000-0002-9129-6825</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00198-021-05932-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00198-021-05932-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33811493$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Trevisan, C.</creatorcontrib><creatorcontrib>Gallinari, G.</creatorcontrib><creatorcontrib>Carbone, A.</creatorcontrib><creatorcontrib>Klumpp, R.</creatorcontrib><title>Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score</title><title>Osteoporosis international</title><addtitle>Osteoporos Int</addtitle><addtitle>Osteoporos Int</addtitle><description>Summary
We evaluated mortality in a cohort of hip fracture patients and implemented a risk prediction score named ASAgeCoGeCC with excellent discrimination. It allowed to separate patients in 3 different risk groups with distinct mortality rates. Recognition of the heterogeneity of patients with femoral fractures may have relevant implications for their management.
Introduction
Usage of risk prediction models to estimate postoperative mortality risk for hip fracture patients represents a useful tool to give insight in the prognosis and assist in clinical decision-making. The aim of this study was to identify a predictive model able to determine the possible presence of distinct subgroups of hip fracture patients by risk classes in the mid-term.
Methods
Three hundred twenty-three hip fracture patients were evaluated, and mortality rates at 30 days, 1, 2, and 4 years were calculated. A multivariate logistic regression analysis using mortality 4 years after fracture as a dependent variable found ASA score, age, cognitive status, gender, and Charlson Comorbidities Index (CCI) as significant risk factors. Using these items, a score named ASAgeCoGeCC was implemented and compared with CCI and Nottingham Hip Fracture Score (NHFS) by a receiver operating characteristic (ROC) curve.
Results
The area under the ROC curve for ASAgeCoGeCC was always greater than that of CCI and NHFS and ranged between 0.804 and 0.820 suggesting an excellent discrimination. The ASAgeCoGeCC logistic model showed also a good calibration. Patients were divided in 3 groups: a low risk group, an intermediate risk group with an odds ratio for 4-year mortality of 5.6 (95% CI 2.9–10.6), and a high risk group with an odds ratio 21.6 (95% CI 10.6–44).
Conclusion
The ASAgeCoGeCC Score is a predictive tool for mortality after hip fracture with good calibration and excellent discrimination properties. It is the first scoring system stratifying hip fracture patients’ mortality at 4 years from fracture.</description><subject>Cognitive ability</subject><subject>Decision making</subject><subject>Endocrinology</subject><subject>Femur</subject><subject>Fractures</subject><subject>Hip</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mortality</subject><subject>Older people</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Osteoporosis</subject><subject>Patients</subject><subject>Prediction models</subject><subject>Rheumatology</subject><subject>Risk factors</subject><subject>Risk groups</subject><issn>0937-941X</issn><issn>1433-2965</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kU1PHSEUhknTpl5t_0AXDUk3bmhhgAu4u5n40cSkCzXpjswwhys6HwrM4v57Ga_WxEVXBM5z3vccXoS-MfqTUap-JUqZ0YRWjFBpeEXEB7RignNSmbX8iFbUcEWMYH8P0GFKd7Q0GaM-owPONWPC8BWKp94HF2DM_Q6nHJsc_C6MWzyEjmSIA-6gybc4hnSPw4g9DFNseuxj4_IcIS2P-RYw9B3EfndS7jlO3ewWkaWwudpsoZ7Ooa7xlZsifEGffNMn-PpyHqGbs9Pr-oJc_jn_XW8uieNKZqJlGbbzxstWtU44qbhwTMvOcM-FlmUD1YJwqqVmzbhXWjm9Bue5k-UPJD9Cx3vdhzg9zpCyHUJy0PfNCNOcbCXp4qE1K-iPd-jdNMexTFeoYkTXmtNCVXvKxSmlCN4-xDA0cWcZtUsidp-ILYnY50SsKE3fX6TndoDuX8trBAXgeyCV0riF-Ob9H9knFxOV9Q</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Trevisan, C.</creator><creator>Gallinari, G.</creator><creator>Carbone, A.</creator><creator>Klumpp, R.</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9129-6825</orcidid></search><sort><creationdate>20211001</creationdate><title>Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score</title><author>Trevisan, C. ; Gallinari, G. ; Carbone, A. ; Klumpp, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-85799df9f5b7bc4c5734c185d93f34858117be4c7b09613f787c86ecf3c543353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cognitive ability</topic><topic>Decision making</topic><topic>Endocrinology</topic><topic>Femur</topic><topic>Fractures</topic><topic>Hip</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mortality</topic><topic>Older people</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Osteoporosis</topic><topic>Patients</topic><topic>Prediction models</topic><topic>Rheumatology</topic><topic>Risk factors</topic><topic>Risk groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Trevisan, C.</creatorcontrib><creatorcontrib>Gallinari, G.</creatorcontrib><creatorcontrib>Carbone, A.</creatorcontrib><creatorcontrib>Klumpp, R.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</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>Osteoporosis international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Trevisan, C.</au><au>Gallinari, G.</au><au>Carbone, A.</au><au>Klumpp, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score</atitle><jtitle>Osteoporosis international</jtitle><stitle>Osteoporos Int</stitle><addtitle>Osteoporos Int</addtitle><date>2021-10-01</date><risdate>2021</risdate><volume>32</volume><issue>10</issue><spage>2023</spage><epage>2031</epage><pages>2023-2031</pages><issn>0937-941X</issn><eissn>1433-2965</eissn><abstract>Summary
We evaluated mortality in a cohort of hip fracture patients and implemented a risk prediction score named ASAgeCoGeCC with excellent discrimination. It allowed to separate patients in 3 different risk groups with distinct mortality rates. Recognition of the heterogeneity of patients with femoral fractures may have relevant implications for their management.
Introduction
Usage of risk prediction models to estimate postoperative mortality risk for hip fracture patients represents a useful tool to give insight in the prognosis and assist in clinical decision-making. The aim of this study was to identify a predictive model able to determine the possible presence of distinct subgroups of hip fracture patients by risk classes in the mid-term.
Methods
Three hundred twenty-three hip fracture patients were evaluated, and mortality rates at 30 days, 1, 2, and 4 years were calculated. A multivariate logistic regression analysis using mortality 4 years after fracture as a dependent variable found ASA score, age, cognitive status, gender, and Charlson Comorbidities Index (CCI) as significant risk factors. Using these items, a score named ASAgeCoGeCC was implemented and compared with CCI and Nottingham Hip Fracture Score (NHFS) by a receiver operating characteristic (ROC) curve.
Results
The area under the ROC curve for ASAgeCoGeCC was always greater than that of CCI and NHFS and ranged between 0.804 and 0.820 suggesting an excellent discrimination. The ASAgeCoGeCC logistic model showed also a good calibration. Patients were divided in 3 groups: a low risk group, an intermediate risk group with an odds ratio for 4-year mortality of 5.6 (95% CI 2.9–10.6), and a high risk group with an odds ratio 21.6 (95% CI 10.6–44).
Conclusion
The ASAgeCoGeCC Score is a predictive tool for mortality after hip fracture with good calibration and excellent discrimination properties. It is the first scoring system stratifying hip fracture patients’ mortality at 4 years from fracture.</abstract><cop>London</cop><pub>Springer London</pub><pmid>33811493</pmid><doi>10.1007/s00198-021-05932-4</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9129-6825</orcidid></addata></record> |
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subjects | Cognitive ability Decision making Endocrinology Femur Fractures Hip Medicine Medicine & Public Health Mortality Older people Original Article Orthopedics Osteoporosis Patients Prediction models Rheumatology Risk factors Risk groups |
title | Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score |
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