Introduction

Infection rates as high as 9.5% were reported in some early series of total joint arthroplasty (TJA) [4]. Microbial-laden particles shed from the operating room staff were considered to be a major source of these early postoperative infections [13, 17]. This led to the introduction of ultraclean air operating rooms and body exhaust suits. In 1983, Blomgren et al. showed a 33% reduction in the rate of intraoperative wound culture positivity with the use of body exhaust suits compared with conventional gowns [1]. A landmark randomized clinical trial, involving more than 8000 patients who underwent TJA, demonstrated a three- to 20-fold decrease in airborne bacterial contamination and a reduction in deep infection rates from 1% to 0.1% with the use of body exhaust suits compared with conventional attire [10]. These studies resulted in the widespread adoption of body exhaust suits by surgeons performing TJA.

The early body exhaust suits used both inflow and outflow tubing to create negative pressure within the gown and helmet system, ensuring shed particles would be drawn away from the operative site [18]. Many surgeons found this setup cumbersome, and most modern surgical helmet systems have an intake fan on the helmet itself, which draws air in through the top of the hood and, by design, out the bottom of the gown. The lack of outflow tubing creates positive pressure inside the gown. The positive pressure allows for particles shed by the operating room staff to be expelled through any hole or gap in the gown system.

A 2010 joint registry study from New Zealand showed increased infection rates with use of these modern surgical helmet systems compared with conventional gowns [7]. Other recent studies have failed to show any benefit with regard to contamination or infection rates with the use of surgical helmet systems versus conventional gowns [2, 1416]. In 2013, Young et al. investigated a single surgical helmet system and found increased particle contamination at the gown-glove interface compared with a conventional gown during simulated TJA. The researchers hypothesized that the increased infection rates observed with modern surgical helmet system use may be attributable to the egress of contaminated air at the unsealed gown-glove interface [18].

However, surgical helmet systems differ in gown material, helmet type, and one-piece toga or two-piece hood and gown systems. Some gowns have a more cloth-like texture that is easily compressed at the wrist, whereas others are made from a waterproof material that is stiffer and tends to form wrinkles with deeper ravines at the gown-glove interface. These stiffer gowns may create a less airtight seal and be more prone to the migration of contaminants through the gown-glove interface. A two-piece hood and gown system may potentiate the egress of air at the hood-gown interface, thus reducing the amount of positive pressure within the gown and decreasing the egress of contaminated air at the gown-glove interface. The egress of potentially contaminated air at the gown-glove interface has not been tested in multiple surgical helmet system types.

We designed an experiment to test the hypothesis that all positive pressure, modern surgical helmet systems would demonstrate increased particle contamination when compared with conventional gowns and also to identify which, if any, of the modern surgical helmet systems are more prone to particle contamination at the gown-glove interface.

Materials and Methods

A comparative study was conducted using a standardized protocol to simulate a TJA based on a method previously described [18]. As a surrogate for bacterial-laden skin particles, which typically range in size from 5 to 15 μm [5], a 5-μm fluorescent powder (Glo Germ; Hygienic Solutions, Lincoln, UK) was evenly applied to both hands of the acting surgeon (JFF or NEP) to the level of the wrist flexion crease (Fig. 1). The acting surgeon was then gowned and double-gloved (Protexis Hydrogel; Cardinal Health, Dublin, OH, USA) in the standard fashion, taking care not to contaminate the proximal portion of the glove with powder. The cuff of the gown was positioned in a standardized fashion at the level of the metacarpal phalangeal joints in an attempt to provide a longer and better seal with the glove. The gown-glove interface was then examined with an ultraviolet light to ensure no contamination had occurred during the gowning process. If contamination was detected at this point, the surgical attire was removed and gowning was performed again until no preprocedure contamination was detected. A 20-minute standardized simulated TJA procedure then was performed (Fig. 2).

Fig. 1
figure 1

The acting surgeon’s hands were coated with 5 μm fluorescent powder before gowning.

Fig. 2
figure 2

A simulated TJA was performed using sawbones (Synbone, Malans, Switzerland).

Simulated procedures were performed in modern operative suites without laminar flow (Appendix 1 [Supplemental materials are available with the online version of CORR®.]). Four gown/helmet systems plus a conventional gown without a helmet were each tested five times. The high fan setting was used for each modern surgical helmet system tested (the conventional gown did not have a helmet or fan). Tested gowns included a conventional Kimberly-Clark MicroCool gown without a helmet (Irving, TX, USA), a one-piece Stryker T5 Zipper Toga with Stryker helmet (Kalamazoo, MI, USA), a MicroCool gown with a Stryker hood and helmet, a Stryker Flyte Toga with Stryker helmet, and a one-piece DePuy Toga with a DePuy helmet (Warsaw, IN, USA) (Fig. 3A–J). Contamination was graded by three observers (KAV, MJS, SWY) under ultraviolet light using a previously published grading scale [18]: 0 (no contamination), 1 (one to five specks), 2 (five to 10 specks), 3 (10–100 specks), and 4 (> 100 specks) (Fig. 4). Each observer graded each observation independently, though observers were not blinded to other’s observations. The level of contamination was further classified into four specific locations, including right and left volar and dorsal wrists.

Fig. 3A–J
figure 3

Front and side views of each tested gowning setup included a conventional Kimberly-Clark MicroCool gown without a helmet (AB), a one-piece Stryker T5 Zipper Toga with a Stryker helmet (CD), a MicroCool gown with a Stryker hood and helmet (EF), a Stryker Flyte Toga with a Stryker helmet (GH), and a one-piece DePuy Toga with a DePuy helmet (IJ).

Fig. 4
figure 4

To determine the degree of contamination, grading was performed by three observers (KAV, MJS, SWY) under ultraviolet light using a standardized grading scale: 0 (no contamination), 1 (one to five specks), 2 (five to 10 specks), 3 (10–100 specks), and 4 (> 100 specks).

A power calculation based on a previous study [18] suggested that five trials of each gown would be sufficient to detect true differences in degree of gown contamination between surgical helmet systems and conventional gowns. Statistical analysis was carried out with Minitab 15 (State College, PA, USA). Friedman’s test was used to compare the levels of contamination across trials for each gown using the highest contamination grade of any location for each trial. The Mann-Whitney test was used post hoc to perform a pairwise comparison of each gown based on degree of contamination.

Results

The Stryker T5 Zipper Toga system showed more contamination than the other gowns. Friedman’s test showed that there was a significant difference in contamination between gowns (p = 0.029). All of the contamination grades for each observer, trial, and gown type are depicted in the dot plot (Fig. 5). Based on the Friedman test, the median contamination score and range for each gowning setup was 1.8 (range, 1–4; conventional Kimberly-Clark MicroCool gown without helmet), 4 (range, 3–4; Stryker T5 Zipper Toga), 3.6 (range, 0–4; Stryker helmet with conventional gown), 1.6 (range, 0–2; Stryker Flyte Toga), and 3.0 (range, 2–3; DePuy Toga). A Mann-Whitney test found no difference among any of the gowns except for the Stryker T5 Zipper Toga, which showed more contamination compared directly with each of the other four gowns (p < 0.001 for each head-to-head comparison) (Table 1).

Fig. 5
figure 5

A dot plot depicting gown type (y axis) versus degree of contamination (x axis) with consideration for location of contamination (black/red: right volar/dorsal, green/blue: left volar/dorsal). Gown 2 (blue oval) showed more contamination than the other gowns.

Table 1 Mann-Whitney test: gown-to-gown comparison based on degree of contamination

Discussion

Infection after TJA is a devastating complication. Wound contamination at the time of the procedure is thought to be a cause of early postoperative infections [10, 13, 17, 18]. Recent studies have shown increased wound contamination and infection rates with the use of modern surgical helmet systems compared with conventional gowns, and it has been hypothesized that the positive pressure within a surgical helmet system may potentially underlie the higher rates of wound contamination and infection [7, 11, 12, 18]. The purpose of our study was to determine the amount of particle contamination at the gown-glove interface in several modern surgical helmet systems as well as conventional gowns.

Our study had a number of limitations. Perhaps most importantly, the link between particle contamination and the clinical outcome of interest (wound infection) is unknown. Although it seems logical that a more heavily contaminated operative site increases the risk of clinical infection, this link has been hard to prove because of the relatively low rate of infection after modern arthroplasty [3]. One recent study showed that despite having positive intraoperative wound cultures in 41 of 90 (46%) patients who underwent TJA, only two patients were later diagnosed with an infection [8]. However, other studies have associated intraoperative contamination with subsequent deep infection. Knobben took four intraoperative cultures from instruments and two portions of removed bone during 100 THAs [9]. Bacterial contamination was identified in 36% of procedures, and six of 36 (17%) patients with intraoperative contamination developed deep infection compared with one of 64 (1.5%) patients without contamination (p = 0.008). This finding is supported by animal studies, and a dose-response relationship between contamination and subsequent deep infection appears to exist. Craig et al. used a rabbit TKA model to investigate the effect of contamination on subsequent deep infection and found the incidence of infection increased with the size of the bacterial inoculum given [6]. Such studies support a causal relationship between contamination and subsequent deep infection; therefore, it is reasonable to identify and attempt to minimize potential sources of contamination such as the gown-glove interface. It remains difficult to quantify the relative importance of such sources to clinical deep infection rates and this is an area for future study.

We based our trial number on a power analysis designed to detect a difference in contamination between a modern surgical helmet system and a conventional gown [18]. We chose a 20-minute simulated procedure because a previous study demonstrated that a similar length protocol was long enough to detect significant amounts of gown contamination [18]. Despite our small sample size, our study evaluated more gown types and performed more trials per gown than any previous study. The fluorescent powder was chosen as a surrogate for skin squames based on its size and previous use in the literature [5, 18], but the use of this powder as a surrogate is limited based on unknown differences between its ability to migrate to the outside of a gown compared with real-life fomites shed from operative personnel.

Finally, blinding the surgeons performing the simulated procedures or the observers to the gown type was not possible, because each gown had obvious characteristics and styles that were unique. Although photographs and remote observations may have permitted some degree of blinding, these strategies would have been challenged by the folds of each gown that were present at the gown-glove interface and often blocked areas of contamination from direct visualization. Direct visualization of each gown-glove interface allowed for a more thorough investigation to detect any areas of notable contamination. Thus, not blinding may have actually strengthened our study and improved our sensitivity to detect particulate contamination compared with feasible blinding options.

The Stryker T5 Zipper Toga produced the greatest degree of contamination at the glove-gown interface. Our results do not support the positive pressure hypothesis as the main driver of particulate contamination at the gown-glove interface, because we did not see increased contamination in any of the other ventilated gowns compared with the conventional gown. Although we did not specifically control or test for gown stiffness as a variable, we did observe that the gowns with a stiffer, more waterproof material seemed to create deeper folds and a less airtight seal at the gown-glove interface. In addition, the stiffer gown material tended to increase the distal migration of the proximal glove edge, essentially displacing the gown-glove interface closer to the source of contamination (ie, the hands). Future studies should control both for gown stiffness and distal glove migration.

The link between staff-sourced contamination and clinical infection rates in TJA must also be further tested, perhaps through studies that genetically match organisms that have caused a clinical infection to microbes found on operative personnel. It is a reasonable goal for all surgeons to make every effort to minimize the amount of staff-sourced wound contamination. The findings of our study suggest that some degree of contamination at the cuff-gown interface occurs with most commonly used gowning systems. The junction of the gown and glove in modern surgical helmet systems is not sterile and in fact should be considered an area of particular vulnerability in terms of contamination. A better gown-glove interface is needed to reduce particle contamination at this interface.