it is estimated that ssis occur in approximately 500,000 of the approximately 27 million ( 2.8% ) operations performed annually in the united states [ 4 , 17 ] . ssis represent as much as 1/3 of all nosocomial infections [ 11 , 15 ] , and are the most common nosocomial infection ( 38% ) in surgical patients . orthopaedic ssis prolong total hospital stays by a median of 2  weeks per patient , approximately double rehospitalization rates , and increase healthcare costs by greater than 300% . additionally , patients with orthopaedic ssis have substantially greater physical limitations and reductions in their health - related quality of life . several studies have assessed factors associated with ssi in joint arthroplasty [ 2 , 7 , 16 , 22 , 2830 , 33 , 34 , 37 , 38 , 41 , 46 ] and spine surgery [ 3 , 5 , 26 , 35 , 36 ] , but there are relatively little data regarding ssi risk in orthopaedic fracture care . patients who undergo surgery for skeletal trauma have a relatively high rate of ssis [ 3 , 16 , 37 , 42 ] , most likely related to injury to the soft tissue envelope , contamination , and other factors . the main objectives of the study are to : ( 1 ) determine the incidence of ssis in patients with orthopaedic trauma and place these findings in the context of other orthopaedic literature ; ( 2 ) determine whether modifiable risk factors ( hair removal and technique , type of skin preparation , attending surgeon , use of a wound drain , use of wound packing , type of fixation , temporary use of external fixation before definitive surgery , number of preoperative stay days ) , and nonmodifiable risk factors ( gender , age , site of injury , side of injury , wound classification , polytrauma and associated injuries , diabetic status , presence of chf , american society of anesthesiologists [ asa ] score , infection at another site preoperatively or postoperatively , and total number of operations at the same site during admission ) are associated with the development of ssis in patients with orthopaedic trauma ; and ( 3 ) quantify the contribution of independent risk factors to the probability of the development of an ssi . an improved knowledge of the modifiable and nonmodifiable risk factors will help counsel patients and might contribute to improved practice . using billing records and a prospective trauma database , we retrospectively identified all 2562 patients who underwent surgical procedures for skeletal trauma between january 1 , 2006 and october 9 , 2008 . patients were included if they were older than 18  years and had a patient medical record with at least 30  days followup after the date of surgery . we excluded 951 patients for the following reasons : ( 1 ) those who did not have at least one followup recorded within 3  months of surgery ; ( 2 ) patients with burn injury and no fracture ; ( 3 ) those who had implant removal only ; ( 4 ) patients who had initial trauma surgery at an outside hospital or patients who presented with ssis after being treated at another hospital ; ( 5 ) metastatic fractures ; ( 6 ) death within 30  days of initial surgery ; and ( 7 ) patients with back , spine , hand , and finger injuries . patients with spine fractures were excluded as trauma orthopaedists rarely perform spine surgery and there is an abundance of literature regarding ssi after spine surgery . hand and finger injuries were excluded as their treatment falls under the realm of hand , rather than trauma , surgery . one hundred seventy - two patients ( 9.6% ) had surgery at more than one site , and each site was considered separately : 134 patients ( 7.5% ) had two sites , 29 ( 1.6% ) had three sites , and nine ( 0.5% ) had four sites . no patients were recalled specifically for this study ; all data were obtained from medical records and radiographs . medical records were reviewed retrospectively by an investigator ( ab ) not involved in the patients care . the following were recorded : gender , age , asa score , presence of ssi , number of preoperative stay days , wound classification , injury site , side of injury , temporary use of external fixation before definitive surgery , polytrauma , associated injury , hair removal ( yes / no and technique ) , the solution used to clean and prepare the skin , attending surgeon , use of a drain , use of wound packing , type of fixation , diabetic status , chf , infection at another site preoperatively or postoperatively , and total number of operations at the same site during admission . patients were classified according to the asa score   as follows : ( 1 ) normal healthy patient , ( 2 ) patient with mild systemic disease , ( 3 ) patient with severe systemic disease ( 4 ) patient with severe systemic disease that is a constant threat to life , ( 5 ) moribund patient who is not expected to survive without the operation , ( 6 ) a patient declared brain - dead whose organs are being removed for donor purposes . one thousand three hundred - sixty - eight cases were classified by the anesthesia staff at the time of surgery , the remaining 415 were classified by an investigator ( ab ) using the operative report and discharge summaries as the scores were not readily available in the anesthesia database . ssi was defined according to the centers for disease control and prevention  ( cdc ) criteria . incisional ssis were divided into those involving only skin and subcutaneous tissue ( superficial incisional ssi ) , and those involving deeper soft tissues of the incision ( deep incisional ssi ) . any ssi category can be diagnosed on a clinical or laboratory basis ( wound culture ) . superficial , deep , and organ / space ssis can develop within 30  days of surgery when there is no implant or foreign material in place . when an implant is left in place , deep incisional and organ / space infections can develop within 1  year of surgery . we applied the cdc definition of ssi using data from the medical record , but ultimately did not use the classification of infection types , because we are not convinced that it is reliable in the arm and leg . pin - site infections that developed while using an external fixation device were not classified as ssis so as to adhere to the cdc definition of an ssi , but also because they did not require a hospital admission or surgery and therefore would not be considered a major complication in our department . polytrauma was defined as trauma to more than one among the musculoskeletal , abdominal , cardiothoracic , urogenital , vascular , and central nervous systems . multiple isolated orthopaedic injuries were not classified as polytrauma unless they were associated with hemodynamic instability . associated injuries were subdivided into associated head injury , associated chest injury , associated abdominal injury , and associated urogenital injury . associated head injuries were defined as traumatic head injuries resulting in a brain contusion , intracranial bleeding , such as epidural , subdural , and subarachnoid hematomas , or a diffuse axonal injury . associated chest injuries were defined as a lung contusion , a pneumothorax , or a hemothorax . each associated injury was investigated separately to determine if it was associated with the development of ssi . the number of operations was defined as the number of surgeries for one site of trauma . for patients who had more than one operation at a specific site , the last surgery was the reference surgery for this investigation ( unless it was removal of an external fixator ) . the sites of injury were defined as : hip ( intertrochanteric , peritrochanteric , subtrochanteric , femoral neck ) ; femur ( femoral shaft and distal femur ) ; tibia shaft ; ankle ( malleolar and talar ) ; foot ; patella ; shoulder and clavicle ( proximal humerus , humeral head , and glenoid ) ; elbow ( including proximal forearm and distal humerus fractures ) ; forearm ; wrist ( distal radius , distal ulna , and carpal bones ) ; soft tissue ; acetabulum , sacrum , and pelvis ; arm ; tibial plateau ; and pilon . type of fixation was classified as open reduction and internal fixation , external fixation , prosthetic joint , percutaneous pinning , and none . a prosthetic joint included total hip arthroplasty or hip hemiarthroplasty , shoulder arthroplasty , total elbow arthroplasty , radial head prosthesis , and total knee arthroplasty or knee hemiarthroplasty . wounds were classified as clean , clean contaminated , contaminated , or dirty [ 9 , 31 ] . wound classification was obtained from the nursing operative record . however , at times the accuracy of the nursing data was questioned and the investigator independently categorized wound classifications for 154 of the 1783 procedures using the description of the wound as mentioned in the operative report . hair removal was classified as no hair removed , razor used , or clippers used . the solution used to prepare the skin for surgery was defined as soap , followed by alcohol , followed by betadine ( purdue pharma , stamford , ct , usa ) ( the traditional skin preparation at our hospital ) , or others . drains used included a vac dressing ( kci usa , inc , san antonio , tx , usa ) in 17 surgeries , a hemovac ( zimmer , dover , oh , usa ) in 225 , a jp ( cardinal health , mcgaw park , il , usa ) drain in six , a blake ( ethicon inc , somerville , nj , usa ) in five , and a penrose ( deroyal surgical- rose hill , rose hill , va , usa ) in five . no drain was used in 1525 surgeries . among the surgeries with wound packing , a vac dressing was used in 20 , and other wound packing was used in six . bivariable and multivariable logistic regression modeling was used to determine the independent predictors of ssi , using the likelihood ratio test to assess significance and a generalized estimating equations ( gee ) approach to account for multiple fractures or surgeries for the same patient ( 1783 procedures , 1611 patients ) . given the overall incidence of ssi ( 75 of 1783 , 4.2% ) , 13 variables were tested by multivariable analysis   to achieve a prediction algorithm with reliable odds ratios and confidence intervals for measuring infection risk . based on the final multivariable model , we derived predicted probabilities of ssi according to the final set of independent risk factors . multivariable logistic regression models were constructed using backward stepwise variable selection with a p value less than 0.05 as the criterion for variable retention , and a forward selection procedure also was conducted to assess internal validity of the fitted model . the models fit was evaluated by the hosmer - lemeshow goodness - of - fit statistic with a larger p value indicating better fit and reliability , and predictive accuracy of the multivariable model was assessed by the c - index . we did not test all two - way interactions in the multivariable analysis as there were no expected interactions based on a priori clinical grounds and did not believe the statistical power was sufficient for testing potentially complex two - way interaction terms in the model . tibial shaft / plateau fractures were combined in the multivariable analysis owing to the anatomic proximity and to have a sufficient number of entries to perform the analysis . we found an association between ssi and the following modifiable risk factors : the use of a wound drain ( p  <  0.001 ) , use of a vac dressing ( p  <  0.001 ) , and temporary external fixation ( p  <  0.001 ) ( table  1 ) . we also found an association between ssi and the following nonmodifiable risk factors : wound classification ( p  <  0.001 ) , asa classification ( p  =  0.014 ) , number of operations ( p  <  0.001 ) , chf ( p  =  0.006 ) , and diabetes ( p  =  0.007 ) ( table  2 ) . additionally , three specific surgical sites were more likely ( p  =  0.001 ) to be infected than other sites : ssi occurred in eight of 121 elbow fractures ( 6.6% ) ; five of 66 tibial plateau fractures ( 7.6% ) ; and 13 of 149 tibial shaft fractures ( 8.7% ) ( table  3 ) . twenty - six of 149 tibial shaft fractures were open injuries , and ssis developed in six of these injuries . five of 66 tibial plateau fractures were open injuries , and a ssi developed in one of these injuries . sixteen of 121 elbow fractures were open injuries , and ssis developed in four of these 16 elbow fractures.table  1modifiable risk factors associated with ssivariablessi ( n  =  75)no ssi ( n  =  1708)p valuehair removal0.20  no hair removed66 ( 4.1)1546 ( 95.9 )  razor2 ( 13.3)13 ( 86.7 )  clippers7 ( 4.5)149 ( 95.5)preparation solution0.50  triple preparation62 ( 4.1)1463 ( 95.9 )  others13 ( 5.0)245 ( 95.0)use of a drain < 0.001  no50 ( 3.3)1469 ( 96.7 )  yes25 ( 9.5)239 ( 90.5)wound packing0.11  no3 ( 10.7)25 ( 89.3 )  yes72 ( 4.1)1683 ( 95.9)definitive fixation0.21  orif61 ( 4.1)1416 ( 95.9 )  external fixation1 ( 7.7)12 ( 92.3 )  prosthetic joint9 ( 7.5)99 ( 92.5 )  percutaneous pinning0 ( 0.0)58 ( 100.0 )  none5 ( 3.9)123 ( 96.1)temporary external fixation < 0.001  no64 ( 3.7)1645 ( 96.3 )  yes11 ( 14.9)63 ( 85.1)surgeon0.37  a31 ( 5.4)544 ( 94.6 )  b10 ( 3.9)246 ( 96.1 )  c5 ( 2.3)216 ( 97.7 )  d10 ( 4.0)237 ( 96.0 )  others19 ( 3.9)465 ( 96.1)preoperative stay , ( days)0.14median ( range)2 ( 012)1 ( 030)data are number with percentages given in parentheses , unless otherwise indicated . ssi  surgical - site infection , orif open reduction internal fixation.table  2nonmodifiable risk factors associated with ssivariablessi ( n  =  75)no ssi ( n  =  1708)p valuegender0.56  female35 ( 3.9)865 ( 96.1 )  male40 ( 4.5)843 ( 95.5)age at surgery ( years)0.069  median ( range)54 ( 1993)52 ( 1898)side of injury0.39  right44 ( 4.8)864 ( 95.2 )  left30 ( 3.5)821 ( 96.5 )  midline1 ( 4.2)23 ( 95.8)wound classification < 0.001  151 ( 3.3)1472 ( 96.7 )  24 ( 9.1)40 ( 90.9 )  318 ( 9.6)169 ( 90.4 )  42 ( 6.9)27 ( 93.1)asa classification0.014  122 ( 4.2)501 ( 95.8 )  224 ( 2.9)808 ( 97.1 )  326 ( 6.8)359 ( 93.2 )  43 ( 7.0)40 ( 93.0)polytrauma0.66  no68 ( 4.1)1573 ( 95.9 )  yes7 ( 4.9)135 ( 95.1)associated injuries  head2 ( 3.0)64 ( 97.0)0.99  chest7 ( 8.6)74 ( 91.4)0.08  abdominal5 ( 8.1)57 ( 91.9)0.18  urogenital0 ( 0.0)15 ( 100.0)0.99number of operations < 0.001  153 ( 3.3)1565 ( 96.7 )  2 or more22 ( 13.3)143 ( 86.7)chf0.006  no67 ( 3.9)1647 ( 96.1 )  yes8 ( 11.6)81 ( 88.4)diabetes0.007  no59 ( 3.7)1529 ( 96.3 )  yes16 ( 8.2)179 ( 91.8)infection at other site  preoperatively1 ( 1.7)59 ( 98.3)0.51  postoperatively3 ( 3.1)93 ( 96.9)0.79data are number with percentages given in parentheses , unless otherwise indicated.ssisurgical site infection , chf  congestive heart failure , asa  american society of anesthesiology.table  3incidence of infection according to site*site of injurynumber of proceduresnumber infected ( % ) hip30016 ( 5.3)femur1294 ( 3.1)tibia shaft14913 ( 8.7)ankle / fibula2919 ( 3.1)foot643 ( 4.7)patella452 ( 4.4)shoulder / clavicle732 ( 2.7)elbow1218 ( 6.6)forearm321 ( 3.1)wrist2893 ( 1.0)soft tissue663 ( 4.5)acetabulum , sacrum , pelvis  834 ( 4.8)arm430 ( 0.0)tibial plateau665 ( 7.6)pilon322 ( 6.2)total178375 ( 4.2 ) * pearson chi square test indicated significant overall differences between sites ; additional testing revealed significantly higher rates for tibial shaft , tibial plateau , and elbow ( p  =  0.001 ) . modifiable risk factors associated with ssi data are number with percentages given in parentheses , unless otherwise indicated . nonmodifiable risk factors associated with ssi data are number with percentages given in parentheses , unless otherwise indicated . ssi  surgical site infection , chf  congestive heart failure , asa  american society of anesthesiology . incidence of infection according to site * * pearson chi square test indicated significant overall differences between sites ; additional testing revealed significantly higher rates for tibial shaft , tibial plateau , and elbow ( p  =  0.001 ) . we identified six factors that independently predicted ssi : ( 1 ) the use of a drain ( or 2.3 , p  =  0.004 ) ; ( 2 ) number of operations ( or 3.4 , p  <  0.001 ) ; ( 3 ) diabetes ( or 2.1 , p  =  0.03 ) ; ( 4 ) chf ( or 2.8 , p  =  0.03 ) ; ( 5 ) site of injury  tibial shaft / plateau ( or 2.3 , p  =  0.005 ) ; and ( 6 ) site of injury  elbow ( or 2.2 , p  =  0.01 ) ( table  4 ) . except for the use of a drain , all of these independent risk factors are nonmodifiable . to further quantify the risk of ssi , predicted probabilities for ssi the risk of a ssi increased with increasing numbers of risk factors and this was distinct for elbow fractures ( table  5 ; fig .  1 ) , tibia fractures ( table  6 ; fig . 2 ) , and other sides ( table  7 ; fig .  3 ) . the multivariable predictive model of ssi was reliable ( hosmer - lemeshow statistic , p  =  0.62 ) and accurate ( c - index  =  0.81 ) . backward and forward selection yielded identical results , including the same six of the 13 candidate variables tested : wound drain , number of operations , chf , diabetes , tibial shaft / tibial plateau injury site , and elbow injury site . among the 13 variables examined , age ( p  =  0.20 ) , preoperative stay ( p  =  0.73 ) , wound classification ( p  =  0.12 ) , asa classification ( p  =  0.13 ) , use of external fixation ( p  =  0.18 ) , associated chest injury ( p  =  0.13 ) , and wound packing ( p  =  0.89 ) were not retained as predictors of infection in the final multivariable logistic regression model.table  4significant predictors of ssi * variablemultivariable logistic regression modeladjusted odds ratio ( 95% ci)p valuewound drain2.3 ( 1.33.8)0.004number of operations3.4 ( 2.06.0 ) < 0.001congestive heart failure2.8 ( 1.36.5)0.026diabetes2.1 ( 1.23.8)0.028site of injury0.010  tibial shaft / plateau2.3 ( 1.34.2)0.005  elbow2.2 ( 1.14.7)0.011 *  n  =  1611 patients , 1783 procedures ; ci  =  confidence interval.table  5multivariable algorithm for predicting ssi for tibial shaft or plateau injuries and a comparison with the observed resultsnumber of surgerieswound drainchfdiabetesobserved proportion of ssipredicted probability ( % ) 95% confidence interval1nonono6/134 ( 4.5%)4.52.57.71nonoyes1/14 ( 7.1%)8.84.217.61yesnono5/32 ( 15.6%)9.55.017.51noyesnonone11.64.526.81yesnoyesnone18.08.334.61noyesyes0/1 ( 0%)21.49.641.11yesyesno1/1 ( 100%)22.98.648.41yesyesyesnone38.117.364.42 or morenonono2/13 ( 15.4%)13.87.723.62 or morenonoyes0/3 ( 0%)25.012.543.72 or moreyesnono3/15 ( 20%)26.615.841.32 or morenoyesno0/1 ( 0%)31.113.456.82 or moreyesnoyes0/1 ( 0%)43.024.264.02 or morenoyesyesnone48.425.971.62 or moreyesyesnonone50.524.875.92 or moreyesyesyesnone67.942.385.9ssi  =  surgical site infection , chf  =  congestive heart failure.fig . 1the graph shows the probability of ssi for patients with tibial shaft fractures or tibial plateau injuries stratified by the number of surgeries and based on risk factors including wound drainage versus no drainage , chf , and diabetes . risk increases with increasing number of risk factors and is greater with more than one operation . probabilities were derived from the multivariable logistic regression analysis.table  6multivariable algorithm for predicting ssi for elbow injuries and a comparison with the observed resultsnumber of surgerieswound drainchfdiabetesobserved proportion of ssipredicted probability ( % ) 95% confidence interval1nonono5/85 ( 5.9%)4.11.98.51nonoyes0/7 ( 0%)8.13.418.31yesnono0/11 ( 0%)8.83.918.61noyesno0/2 ( 0%)10.73.727.51yesnoyesnone16.76.835.41noyesyes1/2 ( 50%)20.07.942.01yesyesnonone21.37.148.91yesyesyesnone36.014.664.92 or morenonono1/9 ( 11.1%)12.85.825.92 or morenonoyes0/2 ( 0%)23.410.045.72 or moreyesnono0/2 ( 0%)24.912.244.22 or morenoyesnonone29.210.958.32 or moreyesnoyesnone40.819.865.72 or morenoyesyes1/1 ( 100%)46.221.572.92 or moreyesyesnonone48.220.776.92 or moreyesyesyesnone65.936.786.6ssi  =  surgical  site infection , chf  =  congestive heart failure.fig . 2the graph shows the probability of ssi for patients with elbow injuries stratified by the number of surgeries and based on risk factors including wound drainage versus no drainage , chf , and diabetes . risk increases with increasing number of risk factors and is greater with more than one operation . probabilities were derived from multivariable logistic regression analysis.table  7multivariable algorithm for predicting ssi for other sites * and a comparison with the observed resultsnumber of surgerieswound drainchfdiabetesobserved proportion of ssipredicted probability ( % ) 95% confidence interval1nonono19/1017 ( 1.9%)2.01.42.81nonoyes6/104 ( 5.8%)4.02.17.51yesnono3/132 ( 2.3%)4.32.76.91noyesno1/24 ( 4.2%)5.32.411.61yesnoyes2/19 ( 10.5%)8.64.216.61noyesyes1/24 ( 4.5%)10.45.120.01yesyesno1/4 ( 25%)11.24.625.11yesyesyes1/5 ( 20%)20.89.639.52 or morenonono5/70 ( 7.1%)6.43.611.22 or morenonoyes2/5 ( 20%)12.55.824.82 or moreyesnono4/31 ( 12.9%)13.48.021.72 or morenoyesno0/1 ( 0%)16.26.833.92 or moreyesnoyes2/7 ( 28.6%)24.312.442.32 or morenoyesyes0/1 ( 0%)28.613.950.02 or moreyesyesno2/3 ( 66.7%)30.413.554.82 or moreyesyesyesnone47.525.670.5ssi  =  surgical - site infection , chf  =  congestive heart failure . 3the graph shows the probability of ssi for patients with injuries other than tibial shaft / plateau or elbow stratified by the number of surgeries and based on risk factors including wound drainage versus no drainage , chf , and diabetes . risk increases with increasing number of risk factors and is greater with more than one operation . significant predictors of ssi * *  n  =  1611 patients , 1783 procedures ; ci  =  confidence interval . multivariable algorithm for predicting ssi for tibial shaft or plateau injuries and a comparison with the observed results ssi  =  surgical site infection , chf  =  congestive heart failure . the graph shows the probability of ssi for patients with tibial shaft fractures or tibial plateau injuries stratified by the number of surgeries and based on risk factors including wound drainage versus no drainage , chf , and diabetes . risk increases with increasing number of risk factors and is greater with more than one operation . multivariable algorithm for predicting ssi for elbow injuries and a comparison with the observed results ssi  =  surgical  site infection , chf  =  congestive heart failure . the graph shows the probability of ssi for patients with elbow injuries stratified by the number of surgeries and based on risk factors including wound drainage versus no drainage , chf , and diabetes . risk increases with increasing number of risk factors and is greater with more than one operation . multivariable algorithm for predicting ssi for other sites * and a comparison with the observed results ssi  =  surgical - site infection , chf  =  congestive heart failure . the graph shows the probability of ssi for patients with injuries other than tibial shaft / plateau or elbow stratified by the number of surgeries and based on risk factors including wound drainage versus no drainage , chf , and diabetes . risk increases with increasing number of risk factors and is greater with more than one operation . patients with orthopaedic trauma typically have soft tissue injury , which distinguishes them from patients undergoing elective arthroplasty or spine surgery . this study aimed to ( 1 ) determine the incidence of ssi among patients with orthopaedic trauma ; ( 2 ) determine which modifiable and nonmodifiable risk factors were associated with the development of ssis in patients with orthopaedic trauma ; and ( 3 ) quantify the contribution of independent risk factors to the probability of an ssi developing . relying on the electronic medical record made the study much easier to do , but resulted in the exclusion of many factors that may be associated with ssi development such as severity of injury , nutritional status , precise timing of preoperative antibiotics , obesity , smoking , alcohol use , and intraoperative blood transfusion . second , we made the assumption that a patient who was not diagnosed with an infection within 30  days and did not return specifically for treatment of an infection within the next 12  months did not have an infection . therefore we may have missed a few patients who were diagnosed with infection between 1 and 12  months elsewhere . given that the majority of orthopaedic ssis are diagnosed within the first month   and most patients would have returned to see us if they had an infection , we are confident that insisting on 1  year of followup for all patients would not affect the results of our study . third , missing asa data were classified by an investigator in 415 of 1783 cases based on the medical records . we believe this is adequate as the asa classification , although simple and useful , has limited reliability among anesthesiologists . fourth , our method of considering temporary external fixation and serial debridement not as separate individual fracture surgeries , but rather as potential risk factors and part of a staged treatment approach may not be consistent with all studies that assess ssi rates in operative fracture care . fifth , the reliability and accuracy of ssi classification has been questioned , but the sensitivity of the various surveillance methods reported in the literature varies between 80% and 90% , and the specificity is near 100% [ 21 , 40 ] . we found a 4.2% incidence of ssis after surgery for skeletal trauma . this is slightly higher than the range reported by the national nosocomial infections surveillance ( nnis ) for orthopaedic patients , suggesting that , as expected by their injury process compared with the average orthopaedic surgical patients [ 7 , 26 , 34 ] , those having surgery to treat skeletal trauma are at increased risk for a ssi [ 3 , 14 , 16 , 32 , 37 , 42 ] ( table  8) . although there have been reports of general orthopaedic patients with ssi incidences of 4.8% , and 22.7% , these studies were performed in nations in which infection control practices may not be as optimal   as in developed nations.table  8comparison of incidence and independent predictors of ssi in the orthopaedic literaturestudysubspecialityssi overall incidenceindependent predictors of ssi ( odds ratio , 95% ci)wound classprophylactic antibioticsnumber of surgeriesdiabeteschfwound drainsitepreoperative length of stayridgeway et al . spine2.0%not assessedsuboptimal timing 3.4(1.57.9)not assessed3.5(1.210)not assessednocervical spine 0.3(0.10.6)not assessedpull ter gunne & cohen spine4.2%not assessednot assessednot assessed2.2(1.24.0)not assessednot assessednot assessednot assessedpull ter gunne et al . general1.1%not assessednot assessed>1 operation 2.5(1.93.0)not assessednot assessednot assessednot assessed>4  days 3.3(2.54.0)2.2%dirty & contaminated 4.1(3.74.5)1.5(1.21.9)>1 operation 2.4(1.82.9)not assessednot assessednot trauma3.9%dirty / clean 10.5(5.121.9)incorrect / correct 1.5 ( 12.2)not assessednot assessednot assessednot assessednot assessed>4/4    days 1.6(1.12.4)current studytrauma4.2%nonot assessed>1 operation 3.4(2.06.0)2.1(1.23.8)2.8(1.36.5)2.3(1.33.8)elbow 2.2(1.14.7 ) tibial shaft / plateau 2.3(1.34.)nossi  =  surgical - site infection ; chf  =  congestive heart failure . comparison of incidence and independent predictors of ssi in the orthopaedic literature ssi  =  surgical - site infection ; chf  =  congestive heart failure . our study confirmed some risk factors reported in other studies for ssis , such as the use of a wound drain , asa classification , chf , number of operations , wound classification , diabetes , and the use of temporary external fixation [ 2 , 6 , 7 , 29 , 30 , 33 , 38 , 39 , 41 , 46 , 47 ] . one study of several types of general , orthopaedic , and gynecologic surgeries found low volume surgeons are a risk factor for development of a ssi ; however , specific surgeon was not a risk factor in our analysis of patients with orthopaedic trauma . it is possible that the effect of individual surgeon practices was dwarfed by stronger risk factors . we found six independent predictors of ssis ( table  4 ) . unlike other studies [ 7 , 14 ] , we did not find a long preoperative hospital stay to be associated with infection nor to independently predict ssi . the site of surgery ( tibial shaft / plateau and elbow ) independently predicted ssi ( table  8) . the elbow may be at an increased risk for having infection develop owing to its subcutaneous locations and poor soft tissue coverage , but we also believe we had a problem with subcutaneous suture reactions and have changed the type of subcutaneous suture that we use . heier et al .   also found that the trauma site and the degree of contamination increase the risk of a ssi . the fact that a wound drain was associated with an increased risk for ssi does not implicate the drain itself . two randomized controlled trials in patients undergoing surgical fracture fixation or bone grafting showed a wound drain provided no benefit to rates of infection , hematomas , transfusion , or revision surgery [ 19 , 43 ] . wound drain use and multiple surgeries are likely surrogates for more complex injuries , particularly more complex wounds . use of temporary external fixation is also likely an indicator of soft tissue injury or soft tissue problems , rather than an independent risk factor on the basis of colonized pin tracks or other factors , an argument supported by the fact that temporary external fixation was not included in the best multivariable model . the number of operations may be indicative of the complexity of the injury and may explain why the probabilities for infection almost double with multiple surgeries . the contribution of diabetes to ssi risk is inconsistent , perhaps owing to the incomplete accounting for confounding [ 8 , 28 , 38 ] . however , diabetes is a strong and consistent risk factor for ssi in spinal surgery [ 5 , 10 , 26 , 35 ] . diabetic status was identified using the medical history section of patients medical records , but did not account for the level of glycemic control , as not all patients had an hba1c drawn nor were glucose finger stick results readily available when reviewing the electronic medical record . despite the crude binary classification , diabetes was a strong risk factor for infection after fracture surgery in this study . however , the degree and level of control of chf were not assessed in this study as not all patients routinely had echocardiograms performed . patients with orthopaedic trauma are at an increased risk of having ssis develop as compared with the general orthopaedic population . we found the use of a drain , number of operations , chf , diabetes , and site of injury independently predicted ssi after operative fracture treatment . we believe that these risk factors reflect patient infirmity and injury complexity , rather than factors amenable to intervention .
backgroundorthopaedic surgical - site infections prolong hospital stays , double rehospitalization rates , and increase healthcare costs . 
 additionally , patients with orthopaedic surgical - site infections ( ssi ) have substantially greater physical limitations and reductions in their health - related quality of life . 
 however , the risk factors for ssi after operative fracture care are unclear.questions/purposewe determined the incidence and quantified modifiable and nonmodifiable risk factors for ssis in patients with orthopaedic trauma undergoing surgery.patients and methodswe retrospectively indentified , from our prospective trauma database and billing records , 1611 patients who underwent 1783 trauma - related procedures between 2006 and 2008 . 
 medical records were reviewed and demographics , surgery - specific data , and whether the patients had an ssi were recorded . 
 we determined which if any variables predicted ssi.resultssix factors independently predicted ssi : ( 1 ) the use of a drain , or 2.3 , 95% ci ( 1.33.8 ) ; ( 2 ) number of operations or 3.4 , 95% ci ( 2.06.0 ) ; ( 3 ) diabetes , or 2.1 , 95% ci ( 1.23.8 ) ; ( 4 ) congestive heart failure ( chf ) , or 2.8 , 95% ci ( 1.36.5 ) ; ( 5 ) site of injury tibial shaft / plateau , or 2.3 , 95% ci ( 1.34.2 ) ; and ( 6 ) site of injury , elbow , or 2.2 , 95% ci ( 1.14.7).conclusionthe risk factors for ssis after skeletal trauma are most strongly determined by nonmodifiable factors : patient infirmity ( diabetes and heart failure ) and injury complexity ( site of injury , number of operations , use of a drain).level of evidence level ii , prognostic study . 
 see the guideline for authors for a complete description of levels of evidence .