ABSTRACT
<p><b>OBJECTIVE</b>To further investigate the risk factors of cubitus varus in humeral condylar fracture after conservative treatment in children through Logistic regression analysis, so as to guide the clinical treatment.</p><p><b>METHODS</b>Children with humeral condylar fracture who were treated by manipulative reduction and plaster fixation in our hospital from March 2008 to December 2014 were studied. The clinical data including age, gender, BMI, time from injury to reduction, direction of displacement, rotation displacement, fixed position, and epiphyseal injury were collected. First, preliminary screen the risk factors through univariate analysis of the above data, then determine the risk factors of cubitus varus through multivariate Logistic regression analysis of the significant factors from univariate analysis.</p><p><b>RESULTS</b>Univariate analysis showed that time from injury to reduction, direction of displacement, rotation displacement and epiphyseal injury were significantly correlated with the cubitus varus. Multivariate Logistic regression analysis showed that time from injury to reduction which was longer than 8 h [=0.017, OR=3.303(1.243-8.774)], ulnar displacement [=0.001,=11.951(2.895-49.335)], rotation displacement [=0.003, OR=4.190(1.643-10.685)]and epiphyseal injury [=0.000,=7.092(2.557-19.671)] were independent risk factors of cubitus varus.</p><p><b>CONCLUSIONS</b>Time from injury to reduction, ulnar displacement, rotation displacement and epiphyseal injury are independent risk factors of cubitus varus. So it need corresponding treatment according to different risk factors.</p>
ABSTRACT
<p><b>OBJECTIVE</b>To analyze the of risk factors of radius shortening in adult with distal radius fracture after conservative treatment by Logistic analysis.</p><p><b>METHODS</b>From May 2009 to March 2015, 137 adults patients with distal radius fracture treated by conservative treatment were retrospective analyzed, and 36 patients occurred radius shortening, including 7 males and 29 females with an average age of (58.33±14.06) years old, 8 patients were type A, 34 patients were type B and 12 patients were type C according to fracture classification; 101 patients were without radius shortening, including 23 males and 78 females with an average age of (52.49±12.79) years old, 48 patients were type A, 34 patients were type B and 19 patients were type C according to fracture classification. Ages, gender, BMI , time from injuries to reduction, fracture classification, fixed form and loading time were collected and screened risk factors by Logistic analysis.</p><p><b>RESULTS</b>All patients were followed up from 8 to 16 months. Ages, time from injuries to reduction, fracture classification, earlier loading could obviously affect radius shortening by univariate analysis, multivariate logistic analysis revealed the risk factor including ages [=1.045(1.008-1.083),=0.015], time from injury to reduction[=2.853(1.178-6.909),=0.020], fracture classification(Type C fracture was more relevant to radius shortening than other two type fractures)[=4.854(1.506-15.640),=0.008], and earlier loading[=3.038(1.138-8.111),=0.027].</p><p><b>CONCLUSIONS</b>Ages, time from injury to reduction, fracture classification, and earlier load are the risk factors of radius shortening, so corresponding preventive measures and appropriate treatment should be applied to according to different risk factor.</p>