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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Veröffentlicht in:JAMA surgery 2016-11, Vol.151 (11), p.e162775-e162775
Hauptverfasser: 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
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container_end_page e162775
container_issue 11
container_start_page e162775
container_title JAMA surgery
container_volume 151
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
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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 &lt; .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 &lt; .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 &lt; .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
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