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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Osteoporosis international 2021-10, Vol.32 (10), p.2023-2031
Hauptverfasser: Trevisan, C., Gallinari, G., Carbone, A., Klumpp, R.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2031
container_issue 10
container_start_page 2023
container_title Osteoporosis international
container_volume 32
creator Trevisan, C.
Gallinari, G.
Carbone, A.
Klumpp, R.
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2508579881</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2508579881</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-85799df9f5b7bc4c5734c185d93f34858117be4c7b09613f787c86ecf3c543353</originalsourceid><addsrcrecordid>eNp9kU1PHSEUhknTpl5t_0AXDUk3bmhhgAu4u5n40cSkCzXpjswwhys6HwrM4v57Ga_WxEVXBM5z3vccXoS-MfqTUap-JUqZ0YRWjFBpeEXEB7RignNSmbX8iFbUcEWMYH8P0GFKd7Q0GaM-owPONWPC8BWKp94HF2DM_Q6nHJsc_C6MWzyEjmSIA-6gybc4hnSPw4g9DFNseuxj4_IcIS2P-RYw9B3EfndS7jlO3ewWkaWwudpsoZ7Ooa7xlZsifEGffNMn-PpyHqGbs9Pr-oJc_jn_XW8uieNKZqJlGbbzxstWtU44qbhwTMvOcM-FlmUD1YJwqqVmzbhXWjm9Bue5k-UPJD9Cx3vdhzg9zpCyHUJy0PfNCNOcbCXp4qE1K-iPd-jdNMexTFeoYkTXmtNCVXvKxSmlCN4-xDA0cWcZtUsidp-ILYnY50SsKE3fX6TndoDuX8trBAXgeyCV0riF-Ob9H9knFxOV9Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2581106830</pqid></control><display><type>article</type><title>Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score</title><source>SpringerNature Journals</source><creator>Trevisan, C. ; Gallinari, G. ; Carbone, A. ; Klumpp, R.</creator><creatorcontrib>Trevisan, C. ; Gallinari, G. ; Carbone, A. ; Klumpp, R.</creatorcontrib><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><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 &amp; 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 &amp; 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 &amp; 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 &amp; Calcified Tissue Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing &amp; 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>
fulltext fulltext
identifier ISSN: 0937-941X
ispartof Osteoporosis international, 2021-10, Vol.32 (10), p.2023-2031
issn 0937-941X
1433-2965
language eng
recordid cdi_proquest_miscellaneous_2508579881
source SpringerNature Journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T15%3A33%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Efficiently%20stratifying%20mid-term%20death%20risk%20in%20femoral%20fractures%20in%20the%20elderly:%20introducing%20the%20ASAgeCoGeCC%20Score&rft.jtitle=Osteoporosis%20international&rft.au=Trevisan,%20C.&rft.date=2021-10-01&rft.volume=32&rft.issue=10&rft.spage=2023&rft.epage=2031&rft.pages=2023-2031&rft.issn=0937-941X&rft.eissn=1433-2965&rft_id=info:doi/10.1007/s00198-021-05932-4&rft_dat=%3Cproquest_cross%3E2508579881%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2581106830&rft_id=info:pmid/33811493&rfr_iscdi=true