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. Author manuscript; available in PMC: 2021 Apr 27.
Published in final edited form as: J Orthop Trauma. 2020 Mar;34(3):113–120. doi: 10.1097/BOT.0000000000001715

Effect of Extended Prophylactic Antibiotic Duration in the Treatment of Open Fracture Wounds Differs by Level of Contamination

Christina A Stennett a, Nathan N O’Hara b, Sheila Sprague c, Brad Petrisor c, Kyle J Jeray d, Surbhi Leekha a, Doris P Yimgang a, Manjari Joshi e, Robert V O’Toole b, Mohit Bhandari c, Gerard P Slobogean b; FLOW Investigators
PMCID: PMC8077225  NIHMSID: NIHMS1665852  PMID: 32084088

Abstract

Objective:

To determine the association between prophylactic antibiotic duration after the definitive wound closure of an open fracture and deep surgical site infection (SSI).

Design:

Retrospective cohort study.

Setting:

41 clinical sites in the United States, Canada, Australia, Norway, and India.

Participants:

Patients (N = 2400) with open fractures of the extremities who participated in the Fluid Lavage of Open Wounds (FLOW) trial.

Intervention:

Extended antibiotic prophylaxis, defined as more than 72 hours of continuous antibiotic use after definitive wound closure.

Main Outcome Measurement:

Deep SSI diagnosed within 1 year of enrollment.

Results:

Forty-two percent of participants received extended antibiotic prophylaxis. Deep SSI prevalence was 5%, 8%, and 23% for wounds with mild, moderate, and severe contamination, respectively. In open fractures with mild contamination, extended antibiotic use showed a trend toward increased odds [adjusted odds ratio (aOR) = 1.39; 95% confidence interval (CI), 0.92–2.11] of deep SSI compared with shorter use. No association was found among patients with moderate contamination (aOR = 1.09; 95% CI, 0.53–2.27). By contrast, extended antibiotic prophylaxis was strongly protective (aOR = 0.20; 95% CI, 0.07–0.60) against deep SSI in patients with severe contamination. Propensity score sensitivity analysis results were consistent with these findings.

Conclusions:

The evidence suggests differential effects of extended postclosure antibiotic duration on SSI odds contingent on the degree of contamination in open fracture wounds. Although extended antibiotic duration resulted in lower odds of SSI among patients with severely contaminated wounds, we observed a trend toward higher odds of SSI in mildly contaminated wounds.

Level of Evidence:

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Keywords: antibiotics, prophylaxis, open fracture, surgical site infection

INTRODUCTION

Surgical site infections (SSIs) are considered threats to the healing of open fracture wounds of the extremities.1 The most critical wounds, designated Gustilo–Anderson grade III, have the highest risk of infection (9%–62%) compared with less severe grade II (2%–10%) and grade I (2%) fractures.2,3 Bacteria and other contaminants enter traumatized tissues during the traumatic event, as well as during surgery to repair the wound, which can result in persistent infections.4 SSIs present risks and costs to the patient and health care system due to unplanned reoperations, prolonged antibiotic treatment, loss of optimal functioning, and other poor healing outcomes.5 Therefore, avoiding infection is a primary aim of the treatment of open fractures, beginning at the initial assessment and treatment of the wound.

In the acute management of open fractures of the extremities, preoperative antibiotic prophylaxis and postoperative antibiotic prophylaxis are used almost universally in high-income countries.6 The effectiveness of this practice was evaluated in a systematic review conducted by the Cochrane Bone, Joint, and Muscle Trauma Group. In the pooled analysis of 1106 open fractures of the limbs, antibiotic use was protective against early infection compared with placebo or no antibiotics.6 Although the debate whether to prescribe antibiotics in the early treatment of open fractures has largely been settled, controversy endures in the recommended duration for antibiotic administration after debridement and soft-tissue closure or coverage. A standardized, evidence-based protocol for antibiotic prophylaxis does not yet exist across US institutions, and there is considerable variability in the antibiotic guidelines used by different institutions.7 International dissimilarity also exists, as evidenced by a study from India reporting over 9 days of antibiotic duration, longer than typical practice in North America.8 Ultimately, the decision is made at the discretion of the surgeon for type, administration route, and duration of antibiotics for each patient. Guidelines for SSI prevention in nontrauma patients recommend limiting prophylaxis to 24 horns after surgery, given lack of benefit and potential harm from longer courses.9 However, there is little evidence supporting a similar approach for traumatic fracture surgery. Several small single-site studies have investigated the effect of antibiotic duration on SSI outcomes. Generally, the authors found that when antibiotics were administered in a timely manner after injury, shorter antibiotic regimens (48–72 hours) resulted in no increases in skin or soft-tissue infection rates.7,10,11 However, few large studies have replicated these findings.

In this secondary analysis of clinical trial data, we assessed the association between the duration of antibiotic prophylaxis after definitive wound closure and a deep wound infection in patients with open fractures of the extremities. We hypothesized that greater antibiotic duration would be associated with a reduced risk of operative treatment for deep SSIs within 12 months of the initial surgery.

METHODS

Study Design and Procedures

This secondary analysis used data collected in the Fluid Lavage of Open Wounds (FLOW) trial, an international, randomized controlled trial conducted between 2009 and 2013.12 Enrollment took place in 41 sites in the United States, India, Canada, Australia, and Norway. FLOW trial participants were required to be adults (18 years old or older) presenting with an open fracture of an extremity requiring operation. Eligible injuries included fractures of an arm, wrist, leg, ankle, foot, clavicle, or scapula. Fractures of the pelvic ring, axial skeleton, hands, or feet were excluded.

In the FLOW trial’s 3-by-2 factorial design, patients were randomized to receive one of 6 combinations of irrigation pressure and solution during their initial surgical operation (ie, either high, low, or very low irrigation pressure and an irrigation solution composed of saline alone or a solution including castile soap). The FLOW protocol recommended that preoperative antibiotics start immediately on diagnosis and postoperative antibiotics continue for at least 24 hours after surgery.12 The protocol also recommended specific antibiotic classes based on Gustilo–Anderson grade cephalosporin for grade I-II injuries, add aminoglycoside for grade III injuries, and add penicillin for gross contaminated injuries. Temporary local antibiotic beads were permitted until definitive wound closure. FLOW investigators collected preoperative and postoperative antibiotic use information (including whether prescriptions were intended as prophylaxis or treatment for suspected infection) and the date of definitive closure for all participants. During the 12-month follow-up period, researchers recorded whether patients underwent reoperation or received other therapies to promote wound healing or treat infections.

For the current retrospective cohort study, all patients included in the FLOW analysis were eligible for inclusion; however, participants missing data necessary for the calculation of antibiotic duration were excluded. For each participant, we calculated the number of days of continuous prophylactic antibiotic use after the date when definitive wound closure was first verified. All antibiotics prescribed to treat an infection or that were prescribed before wound closure for any reason were excluded. For 20 participants who had an SSI event while taking antibiotics, their antibiotic duration estimates were truncated at the date of the SSI event. The antibiotic duration variable was dichotomous, comparing use for greater than 72 hours versus 72 hours or less for consistency with several studies and evidence-based guidelines on this topic.4,13 We also assessed whether participants received an appropriate antibiotic spectrum of coverage for the severity of their wound contamination (ie, severely contaminated wounds with narrow-spectrum antibiotic coverage were considered “inappropriate”).

For the main analysis, an SSI event at follow-up included reoperation (ie, irrigation and debridement) for deep wound infection, as defined in the FLOW trial supplementary materials.12 This event was verified by an independent adjudication committee to prevent interpreter bias. For the main analysis, this outcome variable was dichotomous, indicating the presence or absence of a deep SSI during the 12 months each participant was followed. Nonoperatively treated superficial surgical site wound infections were combined with deep SSIs in a sensitivity analysis. The Centers for Disease Control and Prevention’s SSI criteria state that events must occur within 30 days (if no hardware was implanted) or 90 days (with implanted hardware) after an operative procedure,14 and in a sensitivity analysis, we restricted to 30- and 90-day SSI events. Several covariates were assessed, including country, age, smoking status, Gustilo–Anderson grade, presence of external fixation, degree of wound contamination (classified as mild, moderate, or severe by the surgeon; Orthopaedic Trauma Association Open Fracture Classification [OTA-OTC]15 descriptions for contamination levels in Table 1), wound location (ie, upper vs. lower extremity), wound area, diabetes mellitus, and rheumatoid arthritis.

TABLE 1.

Description of Wound Contamination Severity Levels

Contamination Levels Description

Mild No or minimal contamination
Moderate Surface contamination that is easily removed
Severe Massive contamination that is due to high-risk environmental contaminants, such as clothes, grass, or fecal matter, or any contaminates deeply imbedded in bone or deep soft tissues14

Statistical Analysis

The demographic and surgical characteristics of our cohort were examined at each level of antibiotic duration. For continuous variables, we reported the mean values and SDs, and P values were obtained using t tests. For categorical variables, we reported frequencies and column percentages, and P values were obtained using χ2 or Fisher’s exact tests, where appropriate. We calculated crude and adjusted odds ratio (OR and aOR) estimates with 95% confidence intervals (CIs) and P values for the association between length of antibiotic duration after definitive wound closure and deep SSI using logistic regression.

In evaluating the association between extended prophylactic antibiotic delivery and deep SSI, Gustilo–Anderson wound grade, degree of wound contamination, and presence of external fixation were identified a priori as potential effect measure modifiers. To assess potential effect modification, we added interaction terms with each of these variables and the exposure to the original logistic regression model. When considering several potential confounders, we assessed whether each was associated with both the exposure and outcome, resulted in a change in OR of 10% or greater when added to the unadjusted model, and whether biological justification existed in the literature to suggest confounding.

FLOW participants were not randomized to different lengths of antibiotic use, and we suspected that participants with the most severe injuries at greatest risk of SSI would receive the longest antibiotic courses. These circumstances suggested that confounding by indication could bias our results. We conducted propensity score stratification, which would balance observed covariates between the 2 exposure groups and could remove up to 90% of the bias.16 Several explanatory variables, including Gustilo–Anderson grade, contamination, country, wound area, wound location, smoking status, and days to definitive wound closure, were added to a logistic regression model to calculate propensity scores. Participants with similar propensity scores were grouped into 7 strata, and we assessed whether differences in any covariates remained. In the final logistic regression model, we adjusted for the propensity score strata variable and the covariates that were not balanced by the propensity scores. In sensitivity analyses, we considered whether results differed when extended antibiotic duration was redefined as greater than 0, 24, 48, or 96 hours of continuous antibiotic use, when SSI outcomes were restricted to events occurring within 30 or 90 days of the initial surgery, and when deep SSIs were analyzed with superficial SSIs. All statistical analyses were performed using SAS 9.4 (SAS Institute, Cary, NC).

RESULTS

In this analysis, we excluded 47 of the 2447 FLOW trial participants due to missing antibiotic (n = 45) or wound contamination (n = 2) data. Among 2400 remaining patients, 42% (n = 1008) received extended antibiotic prophylaxis, defined as more than 72 hours of antibiotic use after definitive wound closure, and 87% (n = 2088) had received antibiotics for more than 1 day after closure. Deep SSIs occurred in 7% (n = 163) of the total study population, and the prevalence was roughly even between the extended (7%, n = 67) and shorter antibiotic duration (7%, n = 96) groups. The prevalence was 5%, 8%, and 23% for wounds with mild, moderate, and severe contamination, respectively. By Gustilo–Anderson grade, the deep SSI prevalence was 3%, 6%, 10%, and 15%, for grade I, II, IIIA, and IIIIB wounds, respectively. The overall SSI prevalence, including superficial SSIs, was 12%.

The majority (n = 1,660, 69%) of participants were male, and the mean age in the population was 45 years (SD = 17.7). When patient demographic data were broken down by exposure level (Table 2), we found that patients recruited in India were more likely to receive extended duration antibiotics compared with those recruited in other countries (P < 0.001). Patients in the shorter antibiotic duration group were more likely to identify as current smokers (P = 0.01). Patients with extended antibiotic use were more likely to have several surgical characteristics consistent with more severe wounds, including Gustilo–Anderson grade IIIA or B, moderate or severe contamination, and external fixation (all P < 0.001; Table 3). Those with longer time to wound closure had longer overall prophylaxis but shorter postclosure antibiotic duration (P = 0.01). The appropriateness of the antibiotic coverage given wound contamination severity was not associated with the exposure. Those with shorter prophylactic antibiotic duration were more likely to have an upper extremity wound and a wound area of less than 200 cm2 (both P = 0.01), although very few participants had a wound area of at least 200 cm2 in the study population.

TABLE 2.

Patient Demographics by Level of Prophylactic Antibiotic Duration, N = 2400

>72 h of Antibiotic Use (n = 1008) ≤72 h of Antibiotic Use (n = 1392) P*

Age—years, mean (SD) 45 (17.5) 45 (17.9) 0.99
Sex—male, n (%) 704 (69.8) 956 (68.7) 0.54
Country <0.001
 India, n (%) 211 (20.8) 23 (1.6)
 Other, n (%) 797 (79.1) 1369 (98.4)
Smoker—yes, n (%) 298 (29.7) 476 (34.5) 0.02
Diabetic—yes, n (%) 67 (6.6) 109 (7.8) 0.51
R. arthritis—yes, n (%) 6 (0.6) 13 (0.9) 0.48
*

P values calculated using t test for age, Fisher’s exact test for arthritis, and by χ2 for all other variables.

Percentages shown are column percents. R. arthritis, rheumatoid arthritis.

Current smokers versus never and quit smokers; 16 missing observations.

TABLE 3.

Surgical Characteristics by Level of Prophylactic Antibiotic Duration, N = 2400

>72 h of Antibiotic Use (n = 1008) ≤72 h of Antibiotic Use (n = 1392) P*

Days to definitive closure 0.01
 0–5 d, n (%) 944 (93.7) 1261 (90.6)
 >5 d, n (%) 64 (6.3) 131 (9.4)
Surgical site infection (SSI) 0.10
 None n (%) 872 (86.5) 1229 (88.3)
 Superficial n (%) 69 (6.9) 67 (4.8)
 Deep n (%) 67 (6.7) 96 (6.9)
GA grade <0.001
 I and II, n (%) 662 (65.7) 1013 (72.8)
 IIIA and IIIB, n (%) 346 (34.3) 379 (27.2)
Wound location 0.01
 Lower, n (%) 721 (71.5) 931 (66.9)
 Upper, n (%) 287 (28.5) 461 (33.1)
Wound area 0.01
 <200 cm2, n (%) 993 (98.5) 1386 (99.6)
 ≥200 cm2, n (%) 15 (1.5) 6 (0.4)
Contamination <0.001
 Mild, n (%) 726 (72.0) 1123 (80.7)
 Moderate, n (%) 221 (21.9) 202 (14.5)
 Severe, n (%) 61 (6.1) 67 (4.8)
Inappropriate antibiotic type, n (%) 14 (1.4) 19 (1.4) 0.99
External fixation n (%) 42 (4.1) 29 (2.1) 0.003
*

P values calculated using the Fisher exact test for inappropriate antibiotic type and by χ2 for all other variables.

Percentages shown are column percents.

GA, Gustilo–Anderson fracture grade.

In the unadjusted analysis, we found no association between antibiotic duration and the odds of SSI (OR = 0.96; 95% CI, 0.70–1.32; P = 0.81). However, significant interaction (P = 0.004) between antibiotic duration and wound contamination led us to report stratified odds ratio estimates at each level of this effect measure modifier in subsequent models. We did not stratify according to Gustilo–Anderson wound grade or presence of external fixation due to nonsignificant interaction terms. Table 3 presents logistic regression results stratified by wound contamination and adjusting for the confounding variables: Gustilo–Anderson wound grade, days to definitive wound closure, country, and wound area. In open fractures with mild contamination, patients with extended antibiotic use after definitive wound closure trended toward increased odds of deep SSI compared to those with shorter antibiotic use (aOR = 1.41; 95% CI, 0.92–2.11; P = 0.12). There was no association between antibiotic duration and deep SSI found among patients with moderately contaminated open fractures (aOR = 1.09; 95% CI, 0.52–2.27; P = 0.81). By contrast, extended antibiotic prophylaxis resulted in strongly decreased odds of deep SSI in patients with severely contaminated open fractures (aOR = 0.20; 95% CI, 0.07–0.60; P = 0.004).

Of the 5 covariates that were substantially imbalanced between the 2 exposure groups before propensity score stratification, 2 (days to definitive closure and country) remained unbalanced after adjustment for stratum. When adjusting for propensity score stratum and both unbalanced covariates, the aORs within the 3 strata of contamination were similar to the adjusted results reported above (Table 4).

TABLE 4.

Association Between Duration of Prophylactic Antibiotic Use and Deep SSI Stratified by Severity of Wound Contamination Based on Unadjusted, Adjusted, and Propensity Score–Stratified Models, N = 2400

Contamination Antibiotic Use Deep SSI (n = 163) n (%) No Deep SSI (n = 2237) n (%) Unadjusted
Adjusted
Propensity Score–Stratified
OR (95% CI) P OR (95% CI) P OR (95% CI) P

Mild > 72 h (n = 726) 43 (5.9) 683 (94.1) 1.20 (0.80, 1.81) 0.38 1.39 (0.92, 2.11) 0.12 1.35 (0.89, 2.05) 0.16
≤ 72 h (n = 1123) 56 (5.0) 1067 (95.0) 1.0 (ref) 1.0 (ref) 1.0 (ref)
Moderate > 72 h (n = 221) 17 (7.7) 204 (92.3) 0.85 (0.43, 1.70) 0.65 1.09 (0.53, 2.27) 0.81 1.17 (0.57, 2.43) 0.67
≤ 72 h (n = 202) 18 (8.9) 184 (91.1) 1.0 (ref) 1.0 (ref) 1.0 (ref)
Severe > 72 h (n = 61) 7 (11.5) 54 (88.5) 0.27 (0.10, 0.68) 0.006 0.20 (0.07, 0.60) 0.003 0.23 (0.08, 0.65) 0.005
≤ 72 h (n = 67) 22 (32.8) 45 (67.2) 1.0 (ref) 1.0 (ref) 1.0 (ref)

Odds ratios (ORs), confidence intervals (CIs), and P values calculated using logistic regression. Percentages shown are row percents. Adjusted model includes Gustilo–Anderson wound type, days to definitive closure, country, and wound area. Propensity score–stratified model adjusts for propensity score stratum, days to definitive closure, and country.

In other sensitivity analyses, we observed similar trends in aOR estimates by degree of contamination when extended antibiotic duration was redefined as greater than 0, 24, 48, or 96 hours of continuous antibiotic use (see Table, Supplemental Digital Content 1, http://links.lww.com/JOT/A954), when SSI outcomes were restricted to events occurring within 30 or 90 days of the initial surgery (see Table, Supplemental Digital Content 2, http://links.lww.com/JOT/A955), and when deep and superficial SSIs were analyzed together (see Table, Supplemental Digital Content 3, http://links.lww.com/JOT/A956). When assessing only the deep SSIs that occurred within 30 and 90 days of the initial surgery, the aORs in the moderate stratum became nonsignificantly protective (likely due to very few events). When the outcome was expanded to include superficial and deep infections, the aOR indicating increased odds of SSI with extended antibiotic duration in the mild stratum became statistically significant.

DISCUSSION

In this study, we found that the association between extended prophylactic antibiotic duration (ie, greater than 72 hours of continuous use after definitive wound closure) and SSI differed by the level of contamination of open fracture wounds of the extremities. Participants with mildly contaminated wounds trended toward increased odds of deep SSI (borderline significant result), and those with moderately contaminated wounds had no difference in deep SSI odds associated with greater antibiotic duration. Conversely, longer antibiotic use was associated with a substantial decrease in deep SSI in the population with severely contaminated wounds. This qualitative effect modification in the main association due to contamination severity was seen in unadjusted, adjusted, and propensity score–stratified models.

Our hypothesis that prolonged antibiotic duration after definitive wound closure would reduce deep SSI odds was confirmed only in the severe contamination stratum. The mild and moderate strata results contradicted our expectations. Similarly, there is conflicting evidence on this topic found in the scientific literature. Multiple studies, including a meta-analysis of 3 randomized controlled trials, found that extended antibiotic administration (3–5 days) was not superior to a 1-day course to prevent SSI after open fractures of all grades.11,17,18 Messner et al13 recently published a meta-analysis of 6692 open fractures that stratified by Gustilo–Anderson severity grade and reported no difference in infection rates by duration (dichotomized at 4-day cut point). In a large single center trial, Gatell et al found that a single dose of antibiotics was less effective compared with longer duration prophylaxis in preventing deep SSI, although the statistical significance was marginal and the effect disappeared in some sensitivity analyses.19,20 There are key similarities and differences among these previous works. Many focused on prophylactic antibiotics prescribed after definitive wound closure. Some used a 72-hour duration cut point as we did, while others used a 24-hour cut point or focused on the number of individual antibiotic courses administered to each patient over time. Several studies restricted the outcome of interest to deep SSIs only. Although the main results focus on deep SSI, we also highlight analysis where the outcome was redefined to include superficial and deep infections. Confounding variables also varied among these studies, although many included Gustilo–Anderson grade, the anatomical location of the wound, and some measure of whether the wound was closed during the first surgery. Messner et al stratified by Gustilo–Anderson grade a priori, but it is unclear whether significant interaction was found in the analysis to justify this decision. We did not find statistical evidence to treat Gustilo–Anderson grade as an effect measure modifier. To the best of our knowledge, no previous studies stratified the effect estimates based on the severity of wound contamination. Another notable difference between our study and its predecessors is sample size, with most (excluding the meta-analyses) having considerably fewer open fracture patients, leading to insufficient power to assess the specific effects of antibiotic duration.20

The reason behind the unexpected result of borderline significant increased odds of deep SSI with extended antibiotics in the mild contamination group remains unclear. One possible explanation could be related to the time from injury to first antibiotic administration. There is some evidence that less severe open fractures receive antibiotics up to 1.5 hours later than more severe injuries.21 A delay in antibiotic delivery greater than 3 hours after injury has been shown to increase infection rates.22,23 Although 99% of FLOW patients received antibiotics within 24 hours, the exact timing of administration in relation to injury or hospital arrival is unclear.12 It is possible that the least contaminated open fracture patients were more likely to experience delays in antibiotic delivery that would contribute to higher SSI risk. However, this theory is untested. Another factor that may contribute to the unexpected result among mildly contaminated wounds involves the appropriateness of antibiotic coverage within this group. Only 31% (n = 569) of patients in this stratum received broad-spectrum antibiotics. Although the FLOW protocol recommended gram-positive only antibiotics for the least severe wounds (grade I/II wounds usually being least severely contaminated), it is possible that broad-spectrum coverage would contribute to better outcomes in this group. Without culturing data available, we were unable to evaluate antibiotic appropriateness based on the organisms found in the wounds at definitive closure or confirm that gram-negative organisms were responsible for SSIs.

Key limitations of this secondary data analysis include the lack of hourly antibiotic duration data and the inability to account for antibiotics prescribed to patients for reasons unrelated to the randomized fracture. Revised confirmatory criteria for diagnosing fracture-related infection, as described by Metsemakers et al24 in 2018, were not used by the FLOW investigators to confirm SSI. Surgeons’ wound contamination level assessments were not directly validated by FLOW investigators. An article assessing interobserver reliability among 8 surgeons who independently evaluated the contamination severity of injuries using OTA-OFC classifications demonstrated “fair” agreement (κ= 0.35; interpreted per Landis and Koch’s guideline).25,26 Owing to relative subjectivity and low agreement for this assessment, we recognize the potential for misclassification in this key variable in our study. However, we assume wound contamination misclassification to be nondifferential between the treatment groups, therefore, biasing the treatment effect toward the null hypothesis.27 Also, the severe contamination group was comparatively small (n = 128), which limits confidence in the results for that stratum. The degree of contamination is also closely aligned with Gustilo–Anderson severity; most (80%) severely contaminated wounds were grades IIIA or IIIB. We lacked culture information before and at SSI diagnosis to assess whether organisms found in the wounds at definitive closure resulted in infections. Cultures would also elucidate whether the gram-positive antibiotics recommended in the FLOW protocol for the least severe wounds provided appropriate coverage for the bacteria commonly found in the wounds of this study population. Finally, we used propensity score analysis to mitigate the effect of unobserved confounding. However, we recognize that despite the benefits of this approach, it is possible that unmeasured prognostic balance continues to confound our treatment estimates.

The use of data from the FLOW trial is a strength of this study. This secondary analysis addresses several limitations of previous works, including longer follow-up time to assess the outcome, a larger sample size for increased power, and the inclusion of 41 multinational institutions to expand external validity. FLOW investigators implemented safeguards against misclassification of the outcome: the use of an independent adjudication committee to verify SSI events.12 In this study population, the overall SSI prevalence was 12%, consistent with a recent pooled infection rate from 27 observational studies with more than 5400 open fracture patients.13 In addition, deep SSI prevalence estimates by Gustilo–Anderson grade were consistent with previously published work.2 Although this research is based on a clinical trial, participants were not randomized in relation to duration of antibiotic prophylaxis. Hence, propensity score stratification helped to address threats to validity due to confounding by indication. The trends remained consistent after incorporating propensity scores and several other sensitivity analyses.

In summary, we found evidence that the association between antibiotic prophylaxis and deep SSI differs by level of wound contamination. This study has the potential to inform the design of a definitive study to determine an optimal antibiotic prophylactic regimen based on contamination severity. In future research, it will be important to consider finer detail (hourly intervals) for antibiotic duration, the timing of prophylactic administration, wound culturing over time, and a validated measure of wound contamination. Ultimately, these findings would be useful in the development of an evidence-based antibiotic protocol for open fractures of the extremities.

Supplementary Material

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Acknowledgments

The FLOW trial was supported by Research Grants from the Canadian Institutes of Health Research # MCT-93173, United States Army Institute of Surgical Research, Orthopaedic Trauma Research Program (OTRP) and Peer Reviewed Orthopaedic Research Program (PRORP), and Association Internationale pour l’Ostéosynthèse Dynamique (AIOD). Stryker Company provided Surgilav irrigators for the trial for clinical sites in Asia. Zimmer Company provided the Pulsavac irrigator at discounted rates to selected clinical sites in North America. Triad Medical donated the initial supply of castile soap for the study. No donor or fonder had a role in the design or conduct of die FLOW study, data collection or analyses, or the preparation of this manuscript The FLOW trial was supported by the Office of the Assistant Secretary of Defense for Health Affairs, through the Orthopaedic Trauma Research Program under Award No. W81XWH-08–1-0473 and the Peer Reviewed Orthopaedic Research Program under Award No. W81XWH-12–1-0530. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the Department of Defense. C.A. Stennett was supported by fending provided by a training grant from the National Institutes on Aging (T32 AG000262).

M. Bhandari reports receiving consulting fees from Stryker, Smith & Nephew, Amgen, Eli Lilly, DJ Orthopaedics, and Ferring Pharmaceuticals and research support from DJ Orthopaedics and Ferring Pharmaceuticals. K. J. Jeray reports receiving consulting fees from Zimmer and speaker fees from Radius. B. Petrisor reports consulting fees from Stryker and Pfizer and research support from Stryker. S. Sprague reports being an employee of Global Research Solutions. M. Joshi reports consulting fees from Pfizer. N. N. O’Hara reports stock options from Arbutus Medical Inc. R. V. O’Toole reports royalties and being a paid consultant for Coorstek, being a paid consultant and stock options from Imagen, and being a paid consultant from Smith & Nephew. G. P. Slobogean reports research support from the Patient-Centered Outcomes Research Institute and the US Department of Defense and being a paid consultant for Zimmer Biomet and Smith & Nephew. The remaining authors report no conflict of interest.

Appendix 1. The FLOW Investigators

Steering Committee: Mohit Bhandari (Chair, McMaster University), Gordon H. Guyatt (Co-Chair, McMaster University), Kyle J Jeray (Co-Chair, Greenville Health System), Stephen Walter (McMaster University), Brad Petrisor (McMaster University), Emil H. Schemitsch (St. Michael’s Hospital), Paul Tometta III (Boston University Medical Center), Jeff Anglen (Eskenazi Health Services, Indiana University), Michael Bosse (Carolinas Health Care System), Susan Liew (The Alfred), Parag Sancheti (Sancheti Institute for Orthopaedics and Rehabilitation).

Global Methods Center: Mohit Bhandari (Principal Investigator); Sheila Sprague (Research Methodologist); Paula McKay, Kim Madden, Kerry Tai (Project Management); Diane Heels- Ansdell, (Statistical Analysis); Lisa Buckingham, Aravin Duraikannan (Data Management) (McMaster University).

United States Methods Center: Kyle J. Jeray (Principal Investigator), Stephanie L. Tanner, Rebecca G. Snider (Project Management) (Greenville Health System).

Data Monitoring Committee: Douglas Altman (University of Oxford), Rajiv Gandhi (Toronto Western Hospital), Markus Bischoff (McMaster University).

Adjudication Committee: Mohit Bhandari (McMaster University), Gregory J. Della Rocca (University of Missouri Health Care), Brad Petrisor (McMaster University), Kyle J. Jeray (Greenville Health System), Emil H. Schemitsch (St. Michael’s Hospital).

Participating Clinical Sites:

Canada: Hamilton Health Sciences—Brad Petrisor, Bill Ristevski, Krishan Rajaratnam, Dale Williams, Matthew Denkers, Drew Bednar, John Sadler, Desmond Kwok, Mohit Bhandari, Brian Drew, Ivan Wong, Paula McKay, Kim Madden, Kerry Tai. St. Michael’s Hospital—Jeremy A. Hall, Michael D. McKee, Emil H. Schemitsch, Henry Ahn, Daniel Whelan, James Waddell, Timothy Daniels, Earl Bogoch, Aaron Nauth, Milena R. Vicente, Jennifer T. Hidy. London Health Sciences Centre—David Sanders, Abdel-Rahman Lawendy, Kevin Gurr, Timothy Carey, Chris Bailey, Mark Macleod, Debra Bartley, Christina Tieszer. Queen Elizabeth II Health Sciences Centre: Chad Coles, Ross Leighton, C. Glen Richardson, Michael Biddulph, Michael Gross, Michael Dunbar, J. David Amirault, David Alexander, Catherine Coady, Mark Glazebrook, David Johnston, William Oxner, J. Andrew Trenholm, Gerald Reardon, Kelly Trask, Shelley MacDonald. The Ottawa Hospital Civic Campus—Steven Papp, Wade Gofton, Allan Liew, Stephen Kingwell, Joseph O’Neill, Garth Johnson, Eugene Wai, Julia Foxall. Vancouver General Hospital—Henry M. Broekhuyse, Peter J. O’Brien, Piotr A. Blachut, Kelly A. Lefaivre, Raman Johal. Hôpital du Sacré-Coeur de Montréal—Stéphane Leduc, G. Yves Laflamme, Pierre Beaumont, Michel Malo, Benoit Benoit, Dominique Rouleau, Pierre Ranger, Julie Fournier, Karine Tardif. McGill University Health Centre—Rudy Reindl, Greg Berry, Edward Harvey, William Fisher, Mark Burman, Paul Martineau, Eric Lenczner, Robert Marien, Robert Turcotte, Michael Tanzer, Max Talbot, Peter Jarzem, Mike Weber, Fiona Houghton. University of British Columbia/Fraser Health Authority—Robert McCormack, Kelly Apostle, Dory Boyer, Farhad Moola, Bertrand Percy, Trevor Stone, Darius Viskontas, H. Michael Lemke, Mauri Zomar, Karyn Moon, Raely Moon. Sunnybrook Health Sciences Centre: Hans Kreder, Richard Jenkinson, David Stephen, Markku Nousiainen, Terry Axelrod, Veronica Wadey, Michael Ford, Joel Finkelstein, Richard Holtby, Robin Richards, Sebastian Rodriguez-Elizalde, Diane Nam, Albert Yee, Patrick Henry, John Mumaghan, Harsha Malempati, Julian Semik, Tim Dwyer, Katrine Milner, Monica Kunz, Melanie MacNevin, Wesley Ghent, Fathima Adamsahib, Ria De Gorter, Michelle Arakgi. Winnipeg Health Sciences Centre—Ted V. Tufescu, Brad Pilkey, Chris Graham, Laurie Barron, Allan Hammond, Nigar Sultana. Queen’s University—Ryan T. Bicknell, David Pichora, Aaron Campbell, Fiona Howells. Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS)—Annie Deshaies, Frédéric Balg, François Cabana, Rejean Dumais, Jean-François Joncas, Marc-André Magalhaes-Grave, Nicolas Patenaude, Bernard LaRue, Stéphane Ricard, Chantal Théorêt, François Vézina, Amy Svotelis, Jennifer Downey. Hôpital de l’Enfant-Jésus—Stéphane Pelet, Jean Lamontagne, Luc Bédard, Alexandre Denault, Pierre Lavallée, Luc Petitclerc, Bernard Laliberté, Martin Bédard, Marie-Eve Roger, Luc Lemire, Hélène Côté, Linda Lépine, Pascale Lévesque-Bemier.

United States: Greenville Health System—Kyle J. Jeray, J. Scott Broderick, David R. Goetz, Thomas M. Schaller, Scott E. Porter, Michael L. Beckish, John D. Adams Jr, Benjamin B. Barden, Grant W. Bennett, David M. Conner, Aaron T. Creek, Melissa M. Earles, Stephen H. Finley, Jonathan L. Foret, Garland K. Gudger Jr, Richard W. Gurich Jr, Austin D. Hill, S. Matthew Hollenbeck, Lyle T. Jackson, Benjamin S. Koch, Kevin K. Kruse, Wesley G. Lackey, Justin W. Langan, Julia Lee, Lauren C. Leffler, Michael J. Maughon, Jr, S. Brennan McClure, Timothy J Miller, R. Lee Murphy Jr, Lawrence K. O’Malley, Dustin M. Price, Lorra M. Sharp, J. Adam Smitherman, John A. Tanksley Jr, Erick G. Torres, Dylan J. Watson, Scott T. Watson, Stephanie L. Tanner, Rebecca G. Snider, Shea A. Bielby, Lauren A. Nastoff, Robert J. Teasdall. United States Army Institute of Surgical Research and Brooke Army Medical Center—Joseph Hsu, Katherine M. Bedigrew, Tod Gerlinger, Dave Brown, Joseph Alderete, Kevin Kirk, Mickey Cho, Anthony Johnson, Raymond Topp, Damian Rispoli, James Ficke, Eric Ritchie, Anthony Beardmore, Siraj Sayeed, Michael Charlton, Kristen Walick, Dmitry Tuder, Greg Maytok, Travis Bums, Donald Gajewski, Warren Kactmas, Ramnov Andreson, Patrick Osborn, Michael Connally, Donna Lopez, Mary Fan, Dennis Mann, Andrea Garza, Rina L. Harman. Duke University Medical Center—Steven Olson, Robert Zura, Rachel Reilly, Prerana Patel, Claude T Moorman, Fraser Leversedge, Chard Harbour, Brian Brigman, David Ruch, Nikoletta Leon tarifs, Michael Bolognesi, Shalini Ramasunder, Alison Toth, Allen Diane, Grant Garrigues, Dean Taylor, Richard C. Mather HI, Kristoff Reid, Robert Lark, Samuel Adams, Maria Manson. San Francisco General Hospital—Utku Kandemir, Saam Morshed, Murat Pekmezci, Richard Coughlin, Trigg McClellan, Meir Marmor, Eric Meinberg, Tigist Belaye, Jonathan Kwong. Orthopaedic Associates of Michigan—Clifford B. Jones, James R. Ringler, Terrence J. Endres, David J. Bielema, Michael R. Jabara, Samuel G. Agnew, Debra L. Sietsema, Jane E. Walker. University of Missouri Health Care: Gregory J. Della Rocca, Brett D. Crist, Yvonne M. Murtha, David A. Volgas, James P. Stannard, Linda K. Anderson, Kelly M. Sullivan, Lori Kramer Clark, Kathleen Markley, Stacee Clawson. Hennepin County Medical Center—Andrew Schmidt, Patrick Yoon, Thomas Varecka, Matthew Karam, Jerald R. Westberg. St. Louis University—Lisa K Cannada, Jason Stoneback, Kevin Kuhn, Erik Nott, Leslie Dillender. Eskenazi Health Services, Indiana University—Karl Shively, Brian Mullís, Janos Ertl, Ripley Worman, Jeffrey Anglen, Valda Frizzell, Molly Moore. Miami Valley Hospital—Michael J. Prayson, David Nelles, Jason Vourazeris, Matthew Ross, Richard T. Laughlin, Joseph Cox, Roman Trimba, Joy M. Bradford-Johnson. Lahey Clinic—Andrew J. Marcantonio, Michael Kain, Richard Wilk, Mark Lemos, Joshua Baumfeld, John Tilzey, Brian Jolley, John Garfi. University of Pittsburgh Medical Center—Ivan Tarkin, Andrew Evans, Peter Siska, Lisa Blackrick, Dana J. Farrell. University of Alabama at Birmingham—Emily Keener, Jason Lowe, William Min, Jeffrey Leary, Rena Stewart, David Volgas, Leslie Barnes, Nurit Shadmi, Matthew Robinson, Taylor Vlack, Kathryn Hombuckle, Melanese Leonard, Nikia Hawkins Malone, Tanya Nix, Jessica Goldstein. University of California Irvine—David Zamorano, Martin Tynan, Samuel Bederman, Nitin Bhatia, Arthur Krehenberg, Bang Hoang, Deeba Pourmand, Deanna Lawson. Scottsdale Healthcare—Anthony Rhorer, Brian Miller, Gilbert Ortega, Lori Wood, Veronica Place.

International: The Alfred (Australia): Susan Liew, Harvinder Bedi, Ashley Carr, Andrew Chia, Hamish Curry, Steve Csongvay, Craig Donohue, Stephen Doig, Elton Edwards, Eugene Ek, Max Esser, Greg Etherington, Richard Freeman, Andrew Gong, Doug Li, Matthan Mammen, Russell Miller, Ash Moaveni, Mathias Russ, Lu Ton, Tom Treseder, Otis Wang, Zoe Murdoch, Claire Sage, Adam Dowrick. Oslo University Hospital (Norway)—John Clarke-Jenssen, Frede Frihagen, Lars Nordsletten, Tor Nicolaysen, Hilde Apold, Petter Iversen, Are Stodle, Mette Andersen, Vera Halvorsen, Geir Hjorthaug, Anders Lippert, Ida Sletten, Ellen Langslet, Marius Molund, Asgeir Amundsen, Oliver Muller, Cathrine Aga, Torben Ianssen, Gunnar Flugsrud, Jonas Rydinge, Kim Hemlock, Jan Egil Brattgjerd, John Magne Hoseth, Bernhard Flatoy, Havard Furunes, Peder Bogsti, Guri Ekås, Gilbert Moatshe, Ah Al-Ashtari, Tore Fjalestad, Fredrik Nilsen, Morten Smedsrud, Anne Christine Brekke, Elise Berg Vesterhus, Sissel Knuts. Sancheti Institute for Orthopaedics and Rehabilitation (India)—Parag Sancheti, Steve Rocha, Chetan Puram, Atul Path, Neelam Jhangiani. Highway Hospital (India)—Anil K. Rai, Kamal Narayan Rai. Jabade Hospital (India)—Vivek V. Jabade, Deepali Nassikars. Karne Hospital (India)—Narayan J Karne, Chetan Metha. Apollo Hospital Tondierpet (India)—A Navaladi Shankar. Apollo Hospital Greams Lane (India)—A Navaladi Shankar, R Saravana. Nirmal Hospital (India)—Ajay Gupta, Neeraj Jain. RLB Hospital and Research Centre (India)—Mahesh Bhatia, Vinod Atora, Vivek Tyagi, Anoop Dubey. Popular Hospital (India)—Vinit Yadav, Rani Rai. Kolhapur Institute of Orthopaedics and Trauma (India)—Kiran M. Doshi, Atjun Patil.

Footnotes

Presented in part at the Annual Meeting of the American Academy of Orthopaedic Surgeons, March 13, 2019, Las Vegas, NV.

FLOW Investigators listed in Appendix 1.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.jorthotrauma.com).

REFERENCES

  • 1.Gustilo RB, Mendoza RM, Williams DN. Problems in the management of type III (severe) open fractures: a new classification of type IE open fractures. J Trauma. 1984;24:742–746. [DOI] [PubMed] [Google Scholar]
  • 2.Lack WD, Karunakar MA, Angerame MR, et al. Type III open tibia fractures: immediate antibiotic prophylaxis minimizes infection. J Orthop Trauma. 2015;29:1–6. [DOI] [PubMed] [Google Scholar]
  • 3.Thakore RV, Francois EL, Nwosu SK, et al. The Gustilo–Anderson classification system as predictor of nonunion and infection in open tibia fractures. Eur J Trauma Emerg Surg. 2017;43:651–656. [DOI] [PubMed] [Google Scholar]
  • 4.Zalavras CG, Patzakis MJ. Open fractures: evaluation and management. J Am Acad Orthop Surg. 2003;11:212–219. [DOI] [PubMed] [Google Scholar]
  • 5.Bhandari M, Tometta P III, Sprague S, et al. Predictors of reoperation following operative management of fractures of the tibial shaft. J Orthop Trauma. 2003;17:353–361. [DOI] [PubMed] [Google Scholar]
  • 6.Gosselin RA, Roberts I, Gillespie WJ. Antibiotics for Preventing Infection in Open Limb Fractures. In Cochrane Database of Systematic Reviews. Hoboken, NJ: John Wiley & Sons, Ltd; 2004. doi: 10.1002/14651858.CD003764.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rodriguez L, Jung HS, Goulet JA, et al. Evidence-based protocol for prophylactic antibiotics in open fractures: improved antibiotic stewardship with no increase in infection rates. J Trauma Acute Care Surg. 2014; 77:400–407; discussion 407–408; quiz 524. [DOI] [PubMed] [Google Scholar]
  • 8.Doshi P, Gopalan H, Sprague S, et al. Incidence of infection following internal fixation of open and closed tibia fractures in India (INFINITI): a multi-centre observational cohort study. BMC Musculoskelet Disord. 2017;18:156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Bratzler DW, Dellinger EP, Olsen KM, et al. Clinical practice guidelines for antimicrobial prophylaxis in surgery. Am J Health Syst Pharm. 2013; 70:195–283. [DOI] [PubMed] [Google Scholar]
  • 10.Collinge CA, McWilliam-Ross K, Kelly KC, et al. Substantial improvement in prophylactic antibiotic administration for open fracture patients: results of a performance improvement Program. J Orthop Trauma. 2014; 28:620. [DOI] [PubMed] [Google Scholar]
  • 11.Dellinger EP, Caplan ES, Weaver LD, et al. Duration of preventive antibiotic administration for open extremity fractures. Arch Surg. 1988; 123:333–339. [DOI] [PubMed] [Google Scholar]
  • 12.FLOW Investigators, Petrisor B, Sun X, Bhandari M, et al. Fluid lavage of open wounds (FLOW): a multicenter, blinded, factorial pilot trial comparing alternative irrigating solutions and pressures in patients with open fractures. J Trauma. 2011;71:596–606. [DOI] [PubMed] [Google Scholar]
  • 13.Messner J, Papakostidis C, Giannoudis PV, et al. Duration of administration of antibiotic agents for open fractures: meta-analysis of the existing evidence. Surg Infect (Larchmt). 2017;18:854–867. [DOI] [PubMed] [Google Scholar]
  • 14.Berríos-Torres SI, Umscheid CA, Bratzler DW, et al. Centers for Disease control and prevention guideline for the prevention of surgical site infection, 2017. JAMA Surg. 2017;152:784–791. [DOI] [PubMed] [Google Scholar]
  • 15.Orthopaedic Trauma Association: Open Fracture Study Group. A new classification scheme for open fractures. J Orthop Trauma. 2010;24:457–464. [DOI] [PubMed] [Google Scholar]
  • 16.D’Agostino RB. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics Med. 1998;17:2265–2281. [DOI] [PubMed] [Google Scholar]
  • 17.Dunkel N, Pittet D, Tovmirzaeva L, et al. Short duration of antibiotic prophylaxis in open fractures does not enhance risk of subsequent infection. Bone Joint J. 2013;95-B:831–837. [DOI] [PubMed] [Google Scholar]
  • 18.Chang Y, Kennedy SA, Bhandari M, et al. Effects of antibiotic prophylaxis in patients with open fracture of the extremities: a systematic review of randomized controlled trials. JBJS Rev. 2015;3:1–12. [DOI] [PubMed] [Google Scholar]
  • 19.Gatell JM, Garcia S, Lozano L, et al. Perioperative cefamandole prophylaxis against infections. J Bone Joint Surg Am. 1987;69:1189–1193. [PubMed] [Google Scholar]
  • 20.Gillespie WJ, Walenkamp GH Antibiotic Prophylaxis for Surgery for Proximal Femoral and Other Closed Long Bone Fractures. In the Cochrane Library. Hoboken, NJ: John Wiley & Sons, Ltd; 2010. doi: 10.1002/14651858.CD000244.puh2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Weher D, Buckley R. Time to initial operative treatment following open fracture does not impact development of deep infection: a prospective cohort study of 736 subjects. J Orthop Trauma. 2014;28:7. [DOI] [PubMed] [Google Scholar]
  • 22.Patzakis MJ, Wilkins J. Factors influencing infection rate in open fracture wounds. Clin Orthop Relat Res. 1989;243:36–40. [PubMed] [Google Scholar]
  • 23.Godfrey J, Pace JL. Type I open fractures benefit from immediate antibiotic administration but not necessarily immediate surgery. J Pediatr Orthop. 2016;36(suppl 1):S6–S10. [DOI] [PubMed] [Google Scholar]
  • 24.Metsemakers WJ, Morgenstern M, McNally MA, et al. Fracture-related infection: a consensus on definition from an international expert group. Injury. 2018;49:505–510. [DOI] [PubMed] [Google Scholar]
  • 25.Ghoshal A, Enninghorst N, Sisak K, et al. An interobserver reliability comparison between the Orthopaedic Trauma Association’s open fracture classification and the Gustilo and Anderson classification. Bone Joint J. 2018; 100-B:242–246. [DOI] [PubMed] [Google Scholar]
  • 26.Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–174. [PubMed] [Google Scholar]
  • 27.Wacholder S, Hartge P, Lubin JH, et al. Non-differential misclassification and bias towards the null: a clarification. Occup Environ Med. 1995; 52:557–558. [DOI] [PMC free article] [PubMed] [Google Scholar]

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