Epidemiology of Fracture Nonunion in 18 Human Bones
IMPORTANCE: Failure of bone fracture healing occurs in 5% to 10% of all patients. Nonunion risk is associated with the severity of injury and with the surgical treatment technique, yet progression to nonunion is not fully explained by these risk factors. OBJECTIVE: To test a hypothesis that fracture...
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creator | Zura, Robert Xiong, Ze Einhorn, Thomas Watson, J. Tracy Ostrum, Robert F Prayson, Michael J Della Rocca, Gregory J Mehta, Samir McKinley, Todd Wang, Zhe Steen, R. Grant |
description | IMPORTANCE: Failure of bone fracture healing occurs in 5% to 10% of all patients. Nonunion risk is associated with the severity of injury and with the surgical treatment technique, yet progression to nonunion is not fully explained by these risk factors. OBJECTIVE: To test a hypothesis that fracture characteristics and patient-related risk factors assessable by the clinician at patient presentation can indicate the probability of fracture nonunion. DESIGN, SETTING, AND PARTICIPANTS: An inception cohort study in a large payer database of patients with fracture in the United States was conducted using patient-level health claims for medical and drug expenses compiled for approximately 90.1 million patients in calendar year 2011.The final database collated demographic descriptors, treatment procedures as per Current Procedural Terminology codes; comorbidities as per International Classification of Diseases, Ninth Revision codes; and drug prescriptions as per National Drug Code Directory codes. Logistic regression was used to calculate odds ratios (ORs) for variables associated with nonunion. Data analysis was performed from January 1, 2011, to December 31, 2012, EXPOSURES: Continuous enrollment in the database was required for 12 months after fracture to allow sufficient time to capture a nonunion diagnosis. RESULTS: The final analysis of 309 330 fractures in 18 bones included 178 952 women (57.9%); mean (SD) age was 44.48 (13.68) years. The nonunion rate was 4.9%. Elevated nonunion risk was associated with severe fracture (eg, open fracture, multiple fractures), high body mass index, smoking, and alcoholism. Women experienced more fractures, but men were more prone to nonunion. The nonunion rate also varied with fracture location: scaphoid, tibia plus fibula, and femur were most likely to be nonunion. The ORs for nonunion fractures were significantly increased for risk factors, including number of fractures (OR, 2.65; 95% CI, 2.34-2.99), use of nonsteroidal anti-inflammatory drugs plus opioids (OR, 1.84; 95% CI, 1.73-1.95), operative treatment (OR, 1.78; 95% CI, 1.69-1.86), open fracture (OR, 1.66; 95% CI, 1.55-1.77), anticoagulant use (OR, 1.58; 95% CI, 1.51-1.66), osteoarthritis with rheumatoid arthritis (OR, 1.58; 95% CI, 1.38-1.82), anticonvulsant use with benzodiazepines (OR, 1.49; 95% CI, 1.36-1.62), opioid use (OR, 1.43; 95% CI, 1.34-1.52), diabetes (OR, 1.40; 95% CI, 1.21-1.61), high-energy injury (OR, 1.38; 95% CI, 1.27-1.49), anticonvulsant use (OR |
doi_str_mv | 10.1001/jamasurg.2016.2775 |
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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1841126995</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ama_id>2547685</ama_id><sourcerecordid>1841126995</sourcerecordid><originalsourceid>FETCH-LOGICAL-a432t-4e27416db8e2900f1bebead31afa98f5fdb76b18c14814c2c42f003a5384f6b73</originalsourceid><addsrcrecordid>eNpFkD1PwzAQhi0Eoqj0D3RAGVlSfP7OCFVLkSpYYLacxK5SJXaxm6H_nlT94JY76Z73HR6EpoBngDG8bE1nUh83M4JBzIiU_AY9EBAqF0SQ2-vN2QhNUtriYRTGjBb3aESkwBQ4f0B0sWtq2zWhDZtDFly2jKba99Fmn8H3vgk-a3wGKlv1nfHZW_A2PaI7Z9pkJ-c9Rj_Lxfd8la-_3j_mr-vcMEr2ObNEMhB1qSwpMHZQ2tKamoJxplCOu7qUogRVAVPAKlIx4jCmhlPFnCglHaPnU-8uht_epr3umlTZtjXehj5pUAyAiKLgA0pOaBVDStE6vYtNZ-JBA9ZHX_riSx996aOvIfR07u_LztbXyMXOAExPwJD9_3ImheL0D1Kwbu0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1841126995</pqid></control><display><type>article</type><title>Epidemiology of Fracture Nonunion in 18 Human Bones</title><source>MEDLINE</source><source>American Medical Association Journals</source><creator>Zura, Robert ; Xiong, Ze ; Einhorn, Thomas ; Watson, J. Tracy ; Ostrum, Robert F ; Prayson, Michael J ; Della Rocca, Gregory J ; Mehta, Samir ; McKinley, Todd ; Wang, Zhe ; Steen, R. Grant</creator><creatorcontrib>Zura, Robert ; Xiong, Ze ; Einhorn, Thomas ; Watson, J. Tracy ; Ostrum, Robert F ; Prayson, Michael J ; Della Rocca, Gregory J ; Mehta, Samir ; McKinley, Todd ; Wang, Zhe ; Steen, R. Grant</creatorcontrib><description>IMPORTANCE: Failure of bone fracture healing occurs in 5% to 10% of all patients. Nonunion risk is associated with the severity of injury and with the surgical treatment technique, yet progression to nonunion is not fully explained by these risk factors. OBJECTIVE: To test a hypothesis that fracture characteristics and patient-related risk factors assessable by the clinician at patient presentation can indicate the probability of fracture nonunion. DESIGN, SETTING, AND PARTICIPANTS: An inception cohort study in a large payer database of patients with fracture in the United States was conducted using patient-level health claims for medical and drug expenses compiled for approximately 90.1 million patients in calendar year 2011.The final database collated demographic descriptors, treatment procedures as per Current Procedural Terminology codes; comorbidities as per International Classification of Diseases, Ninth Revision codes; and drug prescriptions as per National Drug Code Directory codes. Logistic regression was used to calculate odds ratios (ORs) for variables associated with nonunion. Data analysis was performed from January 1, 2011, to December 31, 2012, EXPOSURES: Continuous enrollment in the database was required for 12 months after fracture to allow sufficient time to capture a nonunion diagnosis. RESULTS: The final analysis of 309 330 fractures in 18 bones included 178 952 women (57.9%); mean (SD) age was 44.48 (13.68) years. The nonunion rate was 4.9%. Elevated nonunion risk was associated with severe fracture (eg, open fracture, multiple fractures), high body mass index, smoking, and alcoholism. Women experienced more fractures, but men were more prone to nonunion. The nonunion rate also varied with fracture location: scaphoid, tibia plus fibula, and femur were most likely to be nonunion. The ORs for nonunion fractures were significantly increased for risk factors, including number of fractures (OR, 2.65; 95% CI, 2.34-2.99), use of nonsteroidal anti-inflammatory drugs plus opioids (OR, 1.84; 95% CI, 1.73-1.95), operative treatment (OR, 1.78; 95% CI, 1.69-1.86), open fracture (OR, 1.66; 95% CI, 1.55-1.77), anticoagulant use (OR, 1.58; 95% CI, 1.51-1.66), osteoarthritis with rheumatoid arthritis (OR, 1.58; 95% CI, 1.38-1.82), anticonvulsant use with benzodiazepines (OR, 1.49; 95% CI, 1.36-1.62), opioid use (OR, 1.43; 95% CI, 1.34-1.52), diabetes (OR, 1.40; 95% CI, 1.21-1.61), high-energy injury (OR, 1.38; 95% CI, 1.27-1.49), anticonvulsant use (OR, 1.37; 95% CI, 1.31-1.43), osteoporosis (OR, 1.24; 95% CI, 1.14-1.34), male gender (OR, 1.21; 95% CI, 1.16-1.25), insulin use (OR, 1.21; 95% CI, 1.10-1.31), smoking (OR, 1.20; 95% CI, 1.14-1.26), benzodiazepine use (OR, 1.20; 95% CI, 1.10-1.31), obesity (OR, 1.19; 95% CI, 1.12-1.25), antibiotic use (OR, 1.17; 95% CI, 1.13-1.21), osteoporosis medication use (OR, 1.17; 95% CI, 1.08-1.26), vitamin D deficiency (OR, 1.14; 95% CI, 1.05-1.22), diuretic use (OR, 1.13; 95% CI, 1.07-1.18), and renal insufficiency (OR, 1.11; 95% CI, 1.04-1.17) (multivariate P < .001 for all). CONCLUSIONS AND RELEVANCE: The probability of fracture nonunion can be based on patient-specific risk factors at presentation. Risk of nonunion is a function of fracture severity, fracture location, disease comorbidity, and medication use.</description><identifier>ISSN: 2168-6254</identifier><identifier>EISSN: 2168-6262</identifier><identifier>DOI: 10.1001/jamasurg.2016.2775</identifier><identifier>PMID: 27603155</identifier><language>eng</language><publisher>United States: American Medical Association</publisher><subject>Adolescent ; Adult ; Analgesics, Opioid - therapeutic use ; Anti-Bacterial Agents - therapeutic use ; Anti-Inflammatory Agents, Non-Steroidal - therapeutic use ; Anticoagulants - therapeutic use ; Anticonvulsants - therapeutic use ; Arthritis, Rheumatoid - epidemiology ; Bone and Bones - injuries ; Bone and Bones - surgery ; Comorbidity ; Diabetes Mellitus, Type 1 - epidemiology ; Female ; Femur - injuries ; Fibula - injuries ; Follow-Up Studies ; Fracture Healing ; Fractures, Ununited - classification ; Fractures, Ununited - epidemiology ; Fractures, Ununited - surgery ; Humans ; Insulin - therapeutic use ; Male ; Middle Aged ; Obesity - epidemiology ; Osteoarthritis - epidemiology ; Protective Factors ; Renal Insufficiency - epidemiology ; Risk Factors ; Scaphoid Bone - injuries ; Sex Factors ; Smoking - epidemiology ; Tibial Fractures - epidemiology ; Trauma Severity Indices ; Vitamin D Deficiency - epidemiology ; Young Adult</subject><ispartof>JAMA surgery, 2016-11, Vol.151 (11), p.e162775-e162775</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a432t-4e27416db8e2900f1bebead31afa98f5fdb76b18c14814c2c42f003a5384f6b73</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jamanetwork.com/journals/jamasurgery/articlepdf/10.1001/jamasurg.2016.2775$$EPDF$$P50$$Gama$$H</linktopdf><linktohtml>$$Uhttps://jamanetwork.com/journals/jamasurgery/fullarticle/10.1001/jamasurg.2016.2775$$EHTML$$P50$$Gama$$H</linktohtml><link.rule.ids>64,314,776,780,3327,27901,27902,76458,76461</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27603155$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zura, Robert</creatorcontrib><creatorcontrib>Xiong, Ze</creatorcontrib><creatorcontrib>Einhorn, Thomas</creatorcontrib><creatorcontrib>Watson, J. Tracy</creatorcontrib><creatorcontrib>Ostrum, Robert F</creatorcontrib><creatorcontrib>Prayson, Michael J</creatorcontrib><creatorcontrib>Della Rocca, Gregory J</creatorcontrib><creatorcontrib>Mehta, Samir</creatorcontrib><creatorcontrib>McKinley, Todd</creatorcontrib><creatorcontrib>Wang, Zhe</creatorcontrib><creatorcontrib>Steen, R. Grant</creatorcontrib><title>Epidemiology of Fracture Nonunion in 18 Human Bones</title><title>JAMA surgery</title><addtitle>JAMA Surg</addtitle><description>IMPORTANCE: Failure of bone fracture healing occurs in 5% to 10% of all patients. Nonunion risk is associated with the severity of injury and with the surgical treatment technique, yet progression to nonunion is not fully explained by these risk factors. OBJECTIVE: To test a hypothesis that fracture characteristics and patient-related risk factors assessable by the clinician at patient presentation can indicate the probability of fracture nonunion. DESIGN, SETTING, AND PARTICIPANTS: An inception cohort study in a large payer database of patients with fracture in the United States was conducted using patient-level health claims for medical and drug expenses compiled for approximately 90.1 million patients in calendar year 2011.The final database collated demographic descriptors, treatment procedures as per Current Procedural Terminology codes; comorbidities as per International Classification of Diseases, Ninth Revision codes; and drug prescriptions as per National Drug Code Directory codes. Logistic regression was used to calculate odds ratios (ORs) for variables associated with nonunion. Data analysis was performed from January 1, 2011, to December 31, 2012, EXPOSURES: Continuous enrollment in the database was required for 12 months after fracture to allow sufficient time to capture a nonunion diagnosis. RESULTS: The final analysis of 309 330 fractures in 18 bones included 178 952 women (57.9%); mean (SD) age was 44.48 (13.68) years. The nonunion rate was 4.9%. Elevated nonunion risk was associated with severe fracture (eg, open fracture, multiple fractures), high body mass index, smoking, and alcoholism. Women experienced more fractures, but men were more prone to nonunion. The nonunion rate also varied with fracture location: scaphoid, tibia plus fibula, and femur were most likely to be nonunion. The ORs for nonunion fractures were significantly increased for risk factors, including number of fractures (OR, 2.65; 95% CI, 2.34-2.99), use of nonsteroidal anti-inflammatory drugs plus opioids (OR, 1.84; 95% CI, 1.73-1.95), operative treatment (OR, 1.78; 95% CI, 1.69-1.86), open fracture (OR, 1.66; 95% CI, 1.55-1.77), anticoagulant use (OR, 1.58; 95% CI, 1.51-1.66), osteoarthritis with rheumatoid arthritis (OR, 1.58; 95% CI, 1.38-1.82), anticonvulsant use with benzodiazepines (OR, 1.49; 95% CI, 1.36-1.62), opioid use (OR, 1.43; 95% CI, 1.34-1.52), diabetes (OR, 1.40; 95% CI, 1.21-1.61), high-energy injury (OR, 1.38; 95% CI, 1.27-1.49), anticonvulsant use (OR, 1.37; 95% CI, 1.31-1.43), osteoporosis (OR, 1.24; 95% CI, 1.14-1.34), male gender (OR, 1.21; 95% CI, 1.16-1.25), insulin use (OR, 1.21; 95% CI, 1.10-1.31), smoking (OR, 1.20; 95% CI, 1.14-1.26), benzodiazepine use (OR, 1.20; 95% CI, 1.10-1.31), obesity (OR, 1.19; 95% CI, 1.12-1.25), antibiotic use (OR, 1.17; 95% CI, 1.13-1.21), osteoporosis medication use (OR, 1.17; 95% CI, 1.08-1.26), vitamin D deficiency (OR, 1.14; 95% CI, 1.05-1.22), diuretic use (OR, 1.13; 95% CI, 1.07-1.18), and renal insufficiency (OR, 1.11; 95% CI, 1.04-1.17) (multivariate P < .001 for all). CONCLUSIONS AND RELEVANCE: The probability of fracture nonunion can be based on patient-specific risk factors at presentation. Risk of nonunion is a function of fracture severity, fracture location, disease comorbidity, and medication use.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Analgesics, Opioid - therapeutic use</subject><subject>Anti-Bacterial Agents - therapeutic use</subject><subject>Anti-Inflammatory Agents, Non-Steroidal - therapeutic use</subject><subject>Anticoagulants - therapeutic use</subject><subject>Anticonvulsants - therapeutic use</subject><subject>Arthritis, Rheumatoid - epidemiology</subject><subject>Bone and Bones - injuries</subject><subject>Bone and Bones - surgery</subject><subject>Comorbidity</subject><subject>Diabetes Mellitus, Type 1 - epidemiology</subject><subject>Female</subject><subject>Femur - injuries</subject><subject>Fibula - injuries</subject><subject>Follow-Up Studies</subject><subject>Fracture Healing</subject><subject>Fractures, Ununited - classification</subject><subject>Fractures, Ununited - epidemiology</subject><subject>Fractures, Ununited - surgery</subject><subject>Humans</subject><subject>Insulin - therapeutic use</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Obesity - epidemiology</subject><subject>Osteoarthritis - epidemiology</subject><subject>Protective Factors</subject><subject>Renal Insufficiency - epidemiology</subject><subject>Risk Factors</subject><subject>Scaphoid Bone - injuries</subject><subject>Sex Factors</subject><subject>Smoking - epidemiology</subject><subject>Tibial Fractures - epidemiology</subject><subject>Trauma Severity Indices</subject><subject>Vitamin D Deficiency - epidemiology</subject><subject>Young Adult</subject><issn>2168-6254</issn><issn>2168-6262</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkD1PwzAQhi0Eoqj0D3RAGVlSfP7OCFVLkSpYYLacxK5SJXaxm6H_nlT94JY76Z73HR6EpoBngDG8bE1nUh83M4JBzIiU_AY9EBAqF0SQ2-vN2QhNUtriYRTGjBb3aESkwBQ4f0B0sWtq2zWhDZtDFly2jKba99Fmn8H3vgk-a3wGKlv1nfHZW_A2PaI7Z9pkJ-c9Rj_Lxfd8la-_3j_mr-vcMEr2ObNEMhB1qSwpMHZQ2tKamoJxplCOu7qUogRVAVPAKlIx4jCmhlPFnCglHaPnU-8uht_epr3umlTZtjXehj5pUAyAiKLgA0pOaBVDStE6vYtNZ-JBA9ZHX_riSx996aOvIfR07u_LztbXyMXOAExPwJD9_3ImheL0D1Kwbu0</recordid><startdate>20161116</startdate><enddate>20161116</enddate><creator>Zura, Robert</creator><creator>Xiong, Ze</creator><creator>Einhorn, Thomas</creator><creator>Watson, J. Tracy</creator><creator>Ostrum, Robert F</creator><creator>Prayson, Michael J</creator><creator>Della Rocca, Gregory J</creator><creator>Mehta, Samir</creator><creator>McKinley, Todd</creator><creator>Wang, Zhe</creator><creator>Steen, R. Grant</creator><general>American Medical Association</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>7X8</scope></search><sort><creationdate>20161116</creationdate><title>Epidemiology of Fracture Nonunion in 18 Human Bones</title><author>Zura, Robert ; Xiong, Ze ; Einhorn, Thomas ; Watson, J. Tracy ; Ostrum, Robert F ; Prayson, Michael J ; Della Rocca, Gregory J ; Mehta, Samir ; McKinley, Todd ; Wang, Zhe ; Steen, R. Grant</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a432t-4e27416db8e2900f1bebead31afa98f5fdb76b18c14814c2c42f003a5384f6b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Analgesics, Opioid - therapeutic use</topic><topic>Anti-Bacterial Agents - therapeutic use</topic><topic>Anti-Inflammatory Agents, Non-Steroidal - therapeutic use</topic><topic>Anticoagulants - therapeutic use</topic><topic>Anticonvulsants - therapeutic use</topic><topic>Arthritis, Rheumatoid - epidemiology</topic><topic>Bone and Bones - injuries</topic><topic>Bone and Bones - surgery</topic><topic>Comorbidity</topic><topic>Diabetes Mellitus, Type 1 - epidemiology</topic><topic>Female</topic><topic>Femur - injuries</topic><topic>Fibula - injuries</topic><topic>Follow-Up Studies</topic><topic>Fracture Healing</topic><topic>Fractures, Ununited - classification</topic><topic>Fractures, Ununited - epidemiology</topic><topic>Fractures, Ununited - surgery</topic><topic>Humans</topic><topic>Insulin - therapeutic use</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Obesity - epidemiology</topic><topic>Osteoarthritis - epidemiology</topic><topic>Protective Factors</topic><topic>Renal Insufficiency - epidemiology</topic><topic>Risk Factors</topic><topic>Scaphoid Bone - injuries</topic><topic>Sex Factors</topic><topic>Smoking - epidemiology</topic><topic>Tibial Fractures - epidemiology</topic><topic>Trauma Severity Indices</topic><topic>Vitamin D Deficiency - epidemiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zura, Robert</creatorcontrib><creatorcontrib>Xiong, Ze</creatorcontrib><creatorcontrib>Einhorn, Thomas</creatorcontrib><creatorcontrib>Watson, J. Tracy</creatorcontrib><creatorcontrib>Ostrum, Robert F</creatorcontrib><creatorcontrib>Prayson, Michael J</creatorcontrib><creatorcontrib>Della Rocca, Gregory J</creatorcontrib><creatorcontrib>Mehta, Samir</creatorcontrib><creatorcontrib>McKinley, Todd</creatorcontrib><creatorcontrib>Wang, Zhe</creatorcontrib><creatorcontrib>Steen, R. Grant</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>JAMA surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zura, Robert</au><au>Xiong, Ze</au><au>Einhorn, Thomas</au><au>Watson, J. Tracy</au><au>Ostrum, Robert F</au><au>Prayson, Michael J</au><au>Della Rocca, Gregory J</au><au>Mehta, Samir</au><au>McKinley, Todd</au><au>Wang, Zhe</au><au>Steen, R. Grant</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Epidemiology of Fracture Nonunion in 18 Human Bones</atitle><jtitle>JAMA surgery</jtitle><addtitle>JAMA Surg</addtitle><date>2016-11-16</date><risdate>2016</risdate><volume>151</volume><issue>11</issue><spage>e162775</spage><epage>e162775</epage><pages>e162775-e162775</pages><issn>2168-6254</issn><eissn>2168-6262</eissn><abstract>IMPORTANCE: Failure of bone fracture healing occurs in 5% to 10% of all patients. Nonunion risk is associated with the severity of injury and with the surgical treatment technique, yet progression to nonunion is not fully explained by these risk factors. OBJECTIVE: To test a hypothesis that fracture characteristics and patient-related risk factors assessable by the clinician at patient presentation can indicate the probability of fracture nonunion. DESIGN, SETTING, AND PARTICIPANTS: An inception cohort study in a large payer database of patients with fracture in the United States was conducted using patient-level health claims for medical and drug expenses compiled for approximately 90.1 million patients in calendar year 2011.The final database collated demographic descriptors, treatment procedures as per Current Procedural Terminology codes; comorbidities as per International Classification of Diseases, Ninth Revision codes; and drug prescriptions as per National Drug Code Directory codes. Logistic regression was used to calculate odds ratios (ORs) for variables associated with nonunion. Data analysis was performed from January 1, 2011, to December 31, 2012, EXPOSURES: Continuous enrollment in the database was required for 12 months after fracture to allow sufficient time to capture a nonunion diagnosis. RESULTS: The final analysis of 309 330 fractures in 18 bones included 178 952 women (57.9%); mean (SD) age was 44.48 (13.68) years. The nonunion rate was 4.9%. Elevated nonunion risk was associated with severe fracture (eg, open fracture, multiple fractures), high body mass index, smoking, and alcoholism. Women experienced more fractures, but men were more prone to nonunion. The nonunion rate also varied with fracture location: scaphoid, tibia plus fibula, and femur were most likely to be nonunion. The ORs for nonunion fractures were significantly increased for risk factors, including number of fractures (OR, 2.65; 95% CI, 2.34-2.99), use of nonsteroidal anti-inflammatory drugs plus opioids (OR, 1.84; 95% CI, 1.73-1.95), operative treatment (OR, 1.78; 95% CI, 1.69-1.86), open fracture (OR, 1.66; 95% CI, 1.55-1.77), anticoagulant use (OR, 1.58; 95% CI, 1.51-1.66), osteoarthritis with rheumatoid arthritis (OR, 1.58; 95% CI, 1.38-1.82), anticonvulsant use with benzodiazepines (OR, 1.49; 95% CI, 1.36-1.62), opioid use (OR, 1.43; 95% CI, 1.34-1.52), diabetes (OR, 1.40; 95% CI, 1.21-1.61), high-energy injury (OR, 1.38; 95% CI, 1.27-1.49), anticonvulsant use (OR, 1.37; 95% CI, 1.31-1.43), osteoporosis (OR, 1.24; 95% CI, 1.14-1.34), male gender (OR, 1.21; 95% CI, 1.16-1.25), insulin use (OR, 1.21; 95% CI, 1.10-1.31), smoking (OR, 1.20; 95% CI, 1.14-1.26), benzodiazepine use (OR, 1.20; 95% CI, 1.10-1.31), obesity (OR, 1.19; 95% CI, 1.12-1.25), antibiotic use (OR, 1.17; 95% CI, 1.13-1.21), osteoporosis medication use (OR, 1.17; 95% CI, 1.08-1.26), vitamin D deficiency (OR, 1.14; 95% CI, 1.05-1.22), diuretic use (OR, 1.13; 95% CI, 1.07-1.18), and renal insufficiency (OR, 1.11; 95% CI, 1.04-1.17) (multivariate P < .001 for all). CONCLUSIONS AND RELEVANCE: The probability of fracture nonunion can be based on patient-specific risk factors at presentation. Risk of nonunion is a function of fracture severity, fracture location, disease comorbidity, and medication use.</abstract><cop>United States</cop><pub>American Medical Association</pub><pmid>27603155</pmid><doi>10.1001/jamasurg.2016.2775</doi><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; American Medical Association Journals |
subjects | Adolescent Adult Analgesics, Opioid - therapeutic use Anti-Bacterial Agents - therapeutic use Anti-Inflammatory Agents, Non-Steroidal - therapeutic use Anticoagulants - therapeutic use Anticonvulsants - therapeutic use Arthritis, Rheumatoid - epidemiology Bone and Bones - injuries Bone and Bones - surgery Comorbidity Diabetes Mellitus, Type 1 - epidemiology Female Femur - injuries Fibula - injuries Follow-Up Studies Fracture Healing Fractures, Ununited - classification Fractures, Ununited - epidemiology Fractures, Ununited - surgery Humans Insulin - therapeutic use Male Middle Aged Obesity - epidemiology Osteoarthritis - epidemiology Protective Factors Renal Insufficiency - epidemiology Risk Factors Scaphoid Bone - injuries Sex Factors Smoking - epidemiology Tibial Fractures - epidemiology Trauma Severity Indices Vitamin D Deficiency - epidemiology Young Adult |
title | Epidemiology of Fracture Nonunion in 18 Human Bones |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T20%3A12%3A21IST&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=Epidemiology%20of%20Fracture%20Nonunion%20in%2018%20Human%20Bones&rft.jtitle=JAMA%20surgery&rft.au=Zura,%20Robert&rft.date=2016-11-16&rft.volume=151&rft.issue=11&rft.spage=e162775&rft.epage=e162775&rft.pages=e162775-e162775&rft.issn=2168-6254&rft.eissn=2168-6262&rft_id=info:doi/10.1001/jamasurg.2016.2775&rft_dat=%3Cproquest_cross%3E1841126995%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=1841126995&rft_id=info:pmid/27603155&rft_ama_id=2547685&rfr_iscdi=true |