A predictive model for increased hospital length of stay following geriatric hip fracture
Abstract Background The purpose of this study was to identify the risk factors that are significantly associated with hospital length of stay (LOS) following geriatric hip fracture and to use these significant variables to develop a LOS calculator. Materials and methods This was a retrospective stud...
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| Veröffentlicht in: | Journal of clinical orthopaedics and trauma 2019-10, Vol.10 (Suppl 1), p.S84-S87 |
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| container_title | Journal of clinical orthopaedics and trauma |
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| creator | Knoll, Olivia M Lakomkin, Nikita Shen, Michelle S Adebayo, Moses Kothari, Parth Dodd, Ashley C Attum, Basem Lee, Nathan Chona, Deepak Sethi, Manish K |
| description | Abstract Background The purpose of this study was to identify the risk factors that are significantly associated with hospital length of stay (LOS) following geriatric hip fracture and to use these significant variables to develop a LOS calculator. Materials and methods This was a retrospective study examining 614 patients treated for geriatric hip fracture between January 2000 and December 2009 at an urban, Level 1 trauma center. A negative binomial regression analysis was used to identify perioperative variables associated with hospital LOS. Results 614 patients met the inclusion criteria, presenting with a mean age of 78 (±10) years. The most common pre-operative comorbidity was hypertension, followed by diabetes and COPD. After controlling for all collected comorbidities as well as demographics and operative variables, hypertension (IRR: 1.10, p = 0.029) and disseminated cancer (IRR: 1.24, p = 0.007) were found to be significantly associated with LOS. In addition, two demographic/presenting variables, admission to the medicine service (IRR: 1.48, p |
| doi_str_mv | 10.1016/j.jcot.2019.03.024 |
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Materials and methods This was a retrospective study examining 614 patients treated for geriatric hip fracture between January 2000 and December 2009 at an urban, Level 1 trauma center. A negative binomial regression analysis was used to identify perioperative variables associated with hospital LOS. Results 614 patients met the inclusion criteria, presenting with a mean age of 78 (±10) years. The most common pre-operative comorbidity was hypertension, followed by diabetes and COPD. After controlling for all collected comorbidities as well as demographics and operative variables, hypertension (IRR: 1.10, p = 0.029) and disseminated cancer (IRR: 1.24, p = 0.007) were found to be significantly associated with LOS. In addition, two demographic/presenting variables, admission to the medicine service (IRR: 1.48, p < 0.001) and male sex (IRR: 1.09, p = 0.034), were shown to be independent risk factors for prolonged LOS. These variables were synthesized into a LOS formula, which estimated LOS to within 3 days of the true length of stay for 0.758 of the series (95% confidence interval: 0.661 to 0.855). Conclusions This study identified several comorbidity and perioperative variables that were significantly associated with LOS following geriatric hip fracture surgery. The resulting LOS model may have utility in the risk stratification of orthopaedic trauma patients presenting with hip fracture.</description><identifier>ISSN: 0976-5662</identifier><identifier>EISSN: 2213-3445</identifier><identifier>DOI: 10.1016/j.jcot.2019.03.024</identifier><identifier>PMID: 31695265</identifier><language>eng</language><publisher>India: Elsevier B.V</publisher><subject>Hip fractures ; Length of stay ; Orthopedics ; Risk factors ; TRAUMA</subject><ispartof>Journal of clinical orthopaedics and trauma, 2019-10, Vol.10 (Suppl 1), p.S84-S87</ispartof><rights>2019</rights><rights>2019.</rights><rights>2019. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4254-f76f5ebf73fed192d9ba4f0ab4a87607b7d913b20424ea33e3ae81358f2278ae3</citedby><cites>FETCH-LOGICAL-c4254-f76f5ebf73fed192d9ba4f0ab4a87607b7d913b20424ea33e3ae81358f2278ae3</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/PMC6823779/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jcot.2019.03.024$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,3550,27924,27925,45995,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31695265$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Knoll, Olivia M</creatorcontrib><creatorcontrib>Lakomkin, Nikita</creatorcontrib><creatorcontrib>Shen, Michelle S</creatorcontrib><creatorcontrib>Adebayo, Moses</creatorcontrib><creatorcontrib>Kothari, Parth</creatorcontrib><creatorcontrib>Dodd, Ashley C</creatorcontrib><creatorcontrib>Attum, Basem</creatorcontrib><creatorcontrib>Lee, Nathan</creatorcontrib><creatorcontrib>Chona, Deepak</creatorcontrib><creatorcontrib>Sethi, Manish K</creatorcontrib><title>A predictive model for increased hospital length of stay following geriatric hip fracture</title><title>Journal of clinical orthopaedics and trauma</title><addtitle>J Clin Orthop Trauma</addtitle><description>Abstract Background The purpose of this study was to identify the risk factors that are significantly associated with hospital length of stay (LOS) following geriatric hip fracture and to use these significant variables to develop a LOS calculator. Materials and methods This was a retrospective study examining 614 patients treated for geriatric hip fracture between January 2000 and December 2009 at an urban, Level 1 trauma center. A negative binomial regression analysis was used to identify perioperative variables associated with hospital LOS. Results 614 patients met the inclusion criteria, presenting with a mean age of 78 (±10) years. The most common pre-operative comorbidity was hypertension, followed by diabetes and COPD. After controlling for all collected comorbidities as well as demographics and operative variables, hypertension (IRR: 1.10, p = 0.029) and disseminated cancer (IRR: 1.24, p = 0.007) were found to be significantly associated with LOS. In addition, two demographic/presenting variables, admission to the medicine service (IRR: 1.48, p < 0.001) and male sex (IRR: 1.09, p = 0.034), were shown to be independent risk factors for prolonged LOS. These variables were synthesized into a LOS formula, which estimated LOS to within 3 days of the true length of stay for 0.758 of the series (95% confidence interval: 0.661 to 0.855). Conclusions This study identified several comorbidity and perioperative variables that were significantly associated with LOS following geriatric hip fracture surgery. The resulting LOS model may have utility in the risk stratification of orthopaedic trauma patients presenting with hip fracture.</description><subject>Hip fractures</subject><subject>Length of stay</subject><subject>Orthopedics</subject><subject>Risk factors</subject><subject>TRAUMA</subject><issn>0976-5662</issn><issn>2213-3445</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kk-P1CAYxonRuJN1v4AHw9HLVP600CZmk81m_ZNs4kE9eCKUvsxQmVKBjplvL82sG_UgFw78ngfC70XoJSUVJVS8GavRhFwxQruK8Iqw-gnaMEb5ltd18xRtSCfFthGCXaCrlEZSViNoR9vn6IJT0TVMNBv07QbPEQZnsjsCPoQBPLYhYjeZCDrBgPchzS5rjz1Mu7zHweKU9alQ3oefbtrhHUSnc3QG792MbdQmLxFeoGdW-wRXD_sl-vru7svth-39p_cfb2_ut6ZmTb21UtgGeiu5hYF2bOh6XVui-1q3UhDZy6GjvGekZjVozoFraClvWsuYbDXwS3R97p2X_gCDgSlH7dUc3UHHkwraqb9PJrdXu3BUomVcyq4UvH4oiOHHAimrg0sGvNcThCUpxilrKZVEFJSdURNDShHs4zWUqFWLGtWqRa1aFOGqaCmhV38-8DHyW0IB3p4BKN90dBBVMg4mU7REMFkNwf2___qfuPFuckb773CCNIYlTkWAoioxRdTndTDWuaCSl0Yu-S9cfbU-</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Knoll, Olivia M</creator><creator>Lakomkin, Nikita</creator><creator>Shen, Michelle S</creator><creator>Adebayo, Moses</creator><creator>Kothari, Parth</creator><creator>Dodd, Ashley C</creator><creator>Attum, Basem</creator><creator>Lee, Nathan</creator><creator>Chona, Deepak</creator><creator>Sethi, Manish K</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20191001</creationdate><title>A predictive model for increased hospital length of stay following geriatric hip fracture</title><author>Knoll, Olivia M ; Lakomkin, Nikita ; Shen, Michelle S ; Adebayo, Moses ; Kothari, Parth ; Dodd, Ashley C ; Attum, Basem ; Lee, Nathan ; Chona, Deepak ; Sethi, Manish K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4254-f76f5ebf73fed192d9ba4f0ab4a87607b7d913b20424ea33e3ae81358f2278ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Hip fractures</topic><topic>Length of stay</topic><topic>Orthopedics</topic><topic>Risk factors</topic><topic>TRAUMA</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Knoll, Olivia M</creatorcontrib><creatorcontrib>Lakomkin, Nikita</creatorcontrib><creatorcontrib>Shen, Michelle S</creatorcontrib><creatorcontrib>Adebayo, Moses</creatorcontrib><creatorcontrib>Kothari, Parth</creatorcontrib><creatorcontrib>Dodd, Ashley C</creatorcontrib><creatorcontrib>Attum, Basem</creatorcontrib><creatorcontrib>Lee, Nathan</creatorcontrib><creatorcontrib>Chona, Deepak</creatorcontrib><creatorcontrib>Sethi, Manish K</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical orthopaedics and trauma</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Knoll, Olivia M</au><au>Lakomkin, Nikita</au><au>Shen, Michelle S</au><au>Adebayo, Moses</au><au>Kothari, Parth</au><au>Dodd, Ashley C</au><au>Attum, Basem</au><au>Lee, Nathan</au><au>Chona, Deepak</au><au>Sethi, Manish K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A predictive model for increased hospital length of stay following geriatric hip fracture</atitle><jtitle>Journal of clinical orthopaedics and trauma</jtitle><addtitle>J Clin Orthop Trauma</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>10</volume><issue>Suppl 1</issue><spage>S84</spage><epage>S87</epage><pages>S84-S87</pages><issn>0976-5662</issn><eissn>2213-3445</eissn><abstract>Abstract Background The purpose of this study was to identify the risk factors that are significantly associated with hospital length of stay (LOS) following geriatric hip fracture and to use these significant variables to develop a LOS calculator. Materials and methods This was a retrospective study examining 614 patients treated for geriatric hip fracture between January 2000 and December 2009 at an urban, Level 1 trauma center. A negative binomial regression analysis was used to identify perioperative variables associated with hospital LOS. Results 614 patients met the inclusion criteria, presenting with a mean age of 78 (±10) years. The most common pre-operative comorbidity was hypertension, followed by diabetes and COPD. After controlling for all collected comorbidities as well as demographics and operative variables, hypertension (IRR: 1.10, p = 0.029) and disseminated cancer (IRR: 1.24, p = 0.007) were found to be significantly associated with LOS. In addition, two demographic/presenting variables, admission to the medicine service (IRR: 1.48, p < 0.001) and male sex (IRR: 1.09, p = 0.034), were shown to be independent risk factors for prolonged LOS. These variables were synthesized into a LOS formula, which estimated LOS to within 3 days of the true length of stay for 0.758 of the series (95% confidence interval: 0.661 to 0.855). Conclusions This study identified several comorbidity and perioperative variables that were significantly associated with LOS following geriatric hip fracture surgery. The resulting LOS model may have utility in the risk stratification of orthopaedic trauma patients presenting with hip fracture.</abstract><cop>India</cop><pub>Elsevier B.V</pub><pmid>31695265</pmid><doi>10.1016/j.jcot.2019.03.024</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Hip fractures Length of stay Orthopedics Risk factors TRAUMA |
| title | A predictive model for increased hospital length of stay following geriatric hip fracture |
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