Infirmity and injury complexity are risk factors for surgical-site infection after operative fracture care.

BACKGROUND: Orthopaedic 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/
PURPOSE: We determined the incidence and quantified modifiable and nonmodifiable risk factors for SSIs in patients with orthopaedic trauma undergoing surgery. PATIENTS AND METHODS: We 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.
RESULTS: Six factors independently predicted SSI: (1) the use of a drain, OR 2.3, 95% CI (1.3-3.8); (2) number of operations OR 3.4, 95% CI (2.0-6.0); (3) diabetes, OR 2.1, 95% CI (1.2-3.8); (4) congestive heart failure (CHF), OR 2.8, 95% CI (1.3-6.5); (5) site of injury tibial shaft/plateau, OR 2.3, 95% CI (1.3-4.2); and (6) site of injury, elbow, OR 2.2, 95% CI (1.1-4.7).
CONCLUSION: The 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.

Introduction

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 [21]. 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% [45]. Additionally, patients with orthopaedic SSIs have substantially greater physical limitations and reductions in their health-related quality of life [45].

Several studies have assessed factors associated with SSI in joint arthroplasty [2, 7, 16, 22, 28–30, 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.

Patients and Methods

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. These exclusions left 1611 patients who underwent 1783 trauma-related procedures. 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. The duration of patient followup was not recorded. No patients were recalled specifically for this study; all data were obtained from medical records and radiographs. IRB approval was obtained.

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 [1] 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 [21]. The CDC classifies SSI as either incisional or organ/space. 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. We made no attempt to distinguish superficial from deep infections. 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. Rib fractures with no intrathoracic disorders were not listed as chest injuries. 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. A vacuum dressing (VAC) was counted as a wound packing and drain. 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) [12]. Given the overall incidence of SSI (75 of 1783, 4.2%), 13 variables were tested by multivariable analysis [18] to achieve a prediction algorithm with reliable odds ratios and confidence intervals for measuring infection risk [44]. 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 [18]. 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. Two-tailed values of p < 0.05 were considered significant. 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.

Results

There were 75 of 1783 cases of infections, an incidence of 4.2%.

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 1

Modifiable risk factors associated with SSI

Variable	SSI (N = 75)	No SSI (N = 1708)	p Value
Hair removal			0.20
No hair removed	66 (4.1)	1546 (95.9)
Razor	2 (13.3)	13 (86.7)
Clippers	7 (4.5)	149 (95.5)
Preparation solution			0.50
Triple preparation	62 (4.1)	1463 (95.9)
Others	13 (5.0)	245 (95.0)
Use of a drain			< 0.001
No	50 (3.3)	1469 (96.7)
Yes	25 (9.5)	239 (90.5)
Wound packing			0.11
No	3 (10.7)	25 (89.3)
Yes	72 (4.1)	1683 (95.9)
Definitive fixation			0.21
ORIF	61 (4.1)	1416 (95.9)
External fixation	1 (7.7)	12 (92.3)
Prosthetic joint	9 (7.5)	99 (92.5)
Percutaneous pinning	0 (0.0)	58 (100.0)
None	5 (3.9)	123 (96.1)
Temporary external fixation			< 0.001
No	64 (3.7)	1645 (96.3)
Yes	11 (14.9)	63 (85.1)
Surgeon			0.37
A	31 (5.4)	544 (94.6)
B	10 (3.9)	246 (96.1)
C	5 (2.3)	216 (97.7)
D	10 (4.0)	237 (96.0)
Others	19 (3.9)	465 (96.1)
Preoperative stay, (days)			0.14
Median (range)	2 (0–12)	1 (0–30)

Data are number with percentages given in parentheses, unless otherwise indicated. SSI – surgical-site infection, ORIF—open reduction internal fixation.

Table 2

Nonmodifiable risk factors associated with SSI

Variable	SSI (N = 75)	No SSI (N = 1708)	p Value
Gender			0.56
Female	35 (3.9)	865 (96.1)
Male	40 (4.5)	843 (95.5)
Age at surgery (years)			0.069
Median (range)	54 (19–93)	52 (18–98)
Side of injury			0.39
Right	44 (4.8)	864 (95.2)
Left	30 (3.5)	821 (96.5)
Midline	1 (4.2)	23 (95.8)
Wound classification			< 0.001
1	51 (3.3)	1472 (96.7)
2	4 (9.1)	40 (90.9)
3	18 (9.6)	169 (90.4)
4	2 (6.9)	27 (93.1)
ASA classification			0.014
1	22 (4.2)	501 (95.8)
2	24 (2.9)	808 (97.1)
3	26 (6.8)	359 (93.2)
4	3 (7.0)	40 (93.0)
Polytrauma			0.66
No	68 (4.1)	1573 (95.9)
Yes	7 (4.9)	135 (95.1)
Associated injuries
Head	2 (3.0)	64 (97.0)	0.99
Chest	7 (8.6)	74 (91.4)	0.08
Abdominal	5 (8.1)	57 (91.9)	0.18
Urogenital	0 (0.0)	15 (100.0)	0.99
Number of operations			< 0.001
1	53 (3.3)	1565 (96.7)
2 or more	22 (13.3)	143 (86.7)
CHF			0.006
No	67 (3.9)	1647 (96.1)
Yes	8 (11.6)	81 (88.4)
Diabetes			0.007
No	59 (3.7)	1529 (96.3)
Yes	16 (8.2)	179 (91.8)
Infection at other site
Preoperatively	1 (1.7)	59 (98.3)	0.51
Postoperatively	3 (3.1)	93 (96.9)	0.79

Data are number with percentages given in parentheses, unless otherwise indicated.

SSI—surgical site infection, CHF—congestive heart failure, ASA—American Society of Anesthesiology.

Table 3

Incidence of infection according to site*

Site of injury	Number of procedures	Number infected (%)
Hip	300	16 (5.3)
Femur	129	4 (3.1)
Tibia shaft	149	13 (8.7)
Ankle/fibula	291	9 (3.1)
Foot	64	3 (4.7)
Patella	45	2 (4.4)
Shoulder/clavicle	73	2 (2.7)
Elbow	121	8 (6.6)
Forearm	32	1 (3.1)
Wrist	289	3 (1.0)
Soft tissue	66	3 (4.5)
Acetabulum, sacrum, pelvis	83	4 (4.8)
Arm	43	0 (0.0)
Tibial plateau	66	5 (7.6)
Pilon	32	2 (6.2)
Total	1783	75 (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).

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 were determined using the derived independent risk factors. 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 4

Significant predictors of SSI *

Variable	Multivariable logistic regression model
	Adjusted odds ratio (95% CI)	p Value
Wound drain	2.3 (1.3–3.8)	0.004
Number of operations	3.4 (2.0–6.0)	< 0.001
Congestive heart failure	2.8 (1.3–6.5)	0.026
Diabetes	2.1 (1.2–3.8)	0.028
Site of injury		0.010
Tibial shaft/plateau	2.3 (1.3–4.2)	0.005
Elbow	2.2 (1.1–4.7)	0.011

* N = 1611 patients, 1783 procedures; CI = confidence interval.

Table 5

Multivariable algorithm for predicting SSI for tibial shaft or plateau injuries and a comparison with the observed results

Number of surgeries	Wound drain	CHF	Diabetes	Observed proportion of SSI	Predicted probability (%)	95% confidence interval
1	no	no	no	6/134 (4.5%)	4.5	2.5–7.7
1	no	no	yes	1/14 (7.1%)	8.8	4.2–17.6
1	yes	no	no	5/32 (15.6%)	9.5	5.0–17.5
1	no	yes	no	none	11.6	4.5–26.8
1	yes	no	yes	none	18.0	8.3–34.6
1	no	yes	yes	0/1 (0%)	21.4	9.6–41.1
1	yes	yes	no	1/1 (100%)	22.9	8.6–48.4
1	yes	yes	yes	none	38.1	17.3–64.4
2 or more	no	no	no	2/13 (15.4%)	13.8	7.7–23.6
2 or more	no	no	yes	0/3 (0%)	25.0	12.5–43.7
2 or more	yes	no	no	3/15 (20%)	26.6	15.8–41.3
2 or more	no	yes	no	0/1 (0%)	31.1	13.4–56.8
2 or more	yes	no	yes	0/1 (0%)	43.0	24.2–64.0
2 or more	no	yes	yes	none	48.4	25.9–71.6
2 or more	yes	yes	no	none	50.5	24.8–75.9
2 or more	yes	yes	yes	none	67.9	42.3–85.9

SSI = surgical site infection, CHF = congestive heart failure.

Fig. 1

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. Probabilities were derived from the multivariable logistic regression analysis.

Table 6

Multivariable algorithm for predicting SSI for elbow injuries and a comparison with the observed results

Number of surgeries	Wound drain	CHF	Diabetes	Observed proportion of SSI	Predicted probability (%)	95% confidence interval
1	no	no	no	5/85 (5.9%)	4.1	1.9–8.5
1	no	no	yes	0/7 (0%)	8.1	3.4–18.3
1	yes	no	no	0/11 (0%)	8.8	3.9–18.6
1	no	yes	no	0/2 (0%)	10.7	3.7–27.5
1	yes	no	yes	none	16.7	6.8–35.4
1	no	yes	yes	1/2 (50%)	20.0	7.9–42.0
1	yes	yes	no	none	21.3	7.1–48.9
1	yes	yes	yes	none	36.0	14.6–64.9
2 or more	no	no	no	1/9 (11.1%)	12.8	5.8–25.9
2 or more	no	no	yes	0/2 (0%)	23.4	10.0–45.7
2 or more	yes	no	no	0/2 (0%)	24.9	12.2–44.2
2 or more	no	yes	no	none	29.2	10.9–58.3
2 or more	yes	no	yes	none	40.8	19.8–65.7
2 or more	no	yes	yes	1/1 (100%)	46.2	21.5–72.9
2 or more	yes	yes	no	none	48.2	20.7–76.9
2 or more	yes	yes	yes	none	65.9	36.7–86.6

SSI = surgical–site infection, CHF = congestive heart failure.

Fig. 2

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. Probabilities were derived from multivariable logistic regression analysis.

Table 7

Multivariable algorithm for predicting SSI for other sites* and a comparison with the observed results

Number of surgeries	Wound drain	CHF	Diabetes	Observed proportion of SSI	Predicted probability (%)	95% confidence interval
1	no	no	no	19/1017 (1.9%)	2.0	1.4–2.8
1	no	no	yes	6/104 (5.8%)	4.0	2.1–7.5
1	yes	no	no	3/132 (2.3%)	4.3	2.7–6.9
1	no	yes	no	1/24 (4.2%)	5.3	2.4–11.6
1	yes	no	yes	2/19 (10.5%)	8.6	4.2–16.6
1	no	yes	yes	1/24 (4.5%)	10.4	5.1–20.0
1	yes	yes	no	1/4 (25%)	11.2	4.6–25.1
1	yes	yes	yes	1/5 (20%)	20.8	9.6–39.5
2 or more	no	no	no	5/70 (7.1%)	6.4	3.6–11.2
2 or more	no	no	yes	2/5 (20%)	12.5	5.8–24.8
2 or more	yes	no	no	4/31 (12.9%)	13.4	8.0–21.7
2 or more	no	yes	no	0/1 (0%)	16.2	6.8–33.9
2 or more	yes	no	yes	2/7 (28.6%)	24.3	12.4–42.3
2 or more	no	yes	yes	0/1 (0%)	28.6	13.9–50.0
2 or more	yes	yes	no	2/3 (66.7%)	30.4	13.5–54.8
2 or more	yes	yes	yes	none	47.5	25.6–70.5

SSI = surgical-site infection, CHF = congestive heart failure. * Other sites include injuries other than tibial shaft/plateau or elbow.

Fig. 3

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. Probabilities were derived from multivariable logistic regression analysis.

Discussion

SSIs are one of the most common major complications in patients with skeletal trauma. 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.

Our study is subject to some limitations. First, we relied on the electronic medical record. 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 [37] 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 [27]. 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 [25], 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% [39], and 22.7% [20], these studies were performed in nations in which infection control practices may not be as optimal [20] as in developed nations.

Table 8

Comparison of incidence and independent predictors of SSI in the orthopaedic literature

Study	Subspeciality	SSI overall incidence	Independent predictors of SSI (odds ratio, 95% CI)
			Wound class	Prophylactic antibiotics	Number of surgeries	Diabetes	CHF	Wound drain	Site	Preoperative length of stay
Ridgeway et al. [37]	Hip arthroplasty	3.1%	No	No	Not assessed	Not assessed	Not assessed	Not assessed	Not assessed	No
Minnema et al. [22]	Knee arthroplasty	Not assessed	Not assessed	No	Not assessed	Not assessed	Not assessed	Closed suction drain 7.0(2.1–25)	Not assessed	Not assessed
Pulido et al. [34]	Joint arthroplasty	0.7%	Not assessed	Not assessed	Not assessed	No	No	Not assessed	Not assessed	Not assessed
Olsen et al. [26]	Spine	2.0%	Not assessed	Suboptimal timing 3.4(1.5–7.9)	Not assessed	3.5(1.2–10)	Not assessed	No	Cervical spine 0.3(0.1–0.6)	Not assessed
Pull ter Gunne & Cohen [35]	Spine	4.2%	Not assessed	Not assessed	Not assessed	2.2(1.2–4.0)	Not assessed	Not assessed	Not assessed	Not assessed
Pull ter Gunne et al. [36]	Spine deformity	5.5%	Not assessed	Not assessed	No	No	Not assessed	Not assessed	Not assessed	Not assessed
Blam et al. [3]	Spine trauma	9.4%	Not assessed	Not assessed	Not assessed	Not assessed	Not assessed	Not assessed	Not assessed	(In ICU) No
Simchen et al. [39]	General	4.8%	Not assessed	No	>2 operation 9.6(8.2–11.0)	Not assessed	Not assessed	Open drain 4.6(3.8–6.5)	No	Not assessed
De Boer et al. [7]	General	1.1%	Not assessed	Not assessed	>1 operation 2.5(1.9–3.0)	Not assessed	Not assessed	Not assessed	Not assessed	>4 days 3.3(2.5–4.0)
		2.2%	Dirty & contaminated 4.1(3.7–4.5)	1.5(1.2–1.9)	>1 operation 2.4(1.8–2.9)	Not assessed	Not assessed	Not assessed	Not assessed	>4 days 2.4(2.0–2.9)
Maksimovic et al. [20]	General	22.7%	Dirty & Contaminated 12.1(5.6–26.3)	Not assessed	Not assessed	No	Not assessed	No	Not assessed	Not assessed
Thu et al. [42]	Trauma	12.5%	Dirty 8.7(4.6–16.4)	No	Not assessed	Not assessed	Not assessed	No	Not assessed	No
Herruzo-Cabrera et al. [14]	Trauma	3.9%	Dirty/clean 10.5(5.1–21.9)	Incorrect/correct 1.5 (1–2.2)	Not assessed	Not assessed	Not assessed	Not assessed	Not assessed	>4/4 ≥ days 1.6(1.1–2.4)
Current study	Trauma	4.2%	No	Not assessed	>1 operation 3.4(2.0–6.0)	2.1(1.2–3.8)	2.8(1.3–6.5)	2.3(1.3–3.8)	Elbow 2.2(1.1–4.7) tibial shaft/plateau 2.3(1.3–4.)	No

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 [24]; 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 [23], 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. [13] 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 [21], 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. CHF was also a strong risk factor. This may be related to poor postoperative wound oxygenation. 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.