Skip to main content
Journal of Orthopaedic Surgery and Research logoLink to Journal of Orthopaedic Surgery and Research
. 2023 Aug 5;18:572. doi: 10.1186/s13018-023-03992-2

Laminar airflow ventilation systems in orthopaedic operating room do not prevent surgical site infections: a systematic review and meta-analysis

Xueqian Ouyang 1,#, Qiaolin Wang 2,#, Xiaohua Li 3, Ting Zhang 4,, Sanjay Rastogi 5
PMCID: PMC10403924  PMID: 37543643

Abstract

Background

Laminar airflow (LAF) technologies minimize infectious microorganisms to enhance air quality and surgical site infections (SSIs). LAF lowers SSIs in some clinical studies but not others. This study analyzes laminar airflow ventilation's capacity to reduce orthopaedic surgery-related SSIs.

Methods

The PRISMA-compliant keywords were utilized to conduct a search for pertinent articles in various databases including PubMed, MEDLINE, CENTRAL, Web of Sciences, and the Cochrane databases. Observational studies, including retrospective, prospective, and cohort designs, satisfy the PICOS criteria for research methodology. The assessment of quality was conducted utilizing the Robvis software, while the meta-analysis was performed using the RevMan application. The study’s results were assessed based on effect sizes of odds ratio (OR) and risk ratio (RR).

Results

From 2000 to 2022, 10 randomized controlled clinical trials with 10,06,587 orthopaedic surgery patients met the inclusion criteria. The primary outcomes were: (1) Risk of SSI, (2) Bacterial count in sampled air and (3) Reduction in SSIs. The overall pooled OR of all included studies was 1.70 (95% CI 1.10–2.64), and the overall pooled RR was 1.27 (95% CI 1.02–1.59) with p < 0.05. LAF is ineffective at preventing SSIs in orthopaedic procedures due to its high-risk ratio and odds ratio.

Conclusions

The present meta-analysis has determined that the implementation of LAF systems does not result in a significant reduction in the incidence of surgical site infections (SSIs), bacterial count in the air, or SSIs occurrence in orthopaedic operating rooms. Consequently, the installation of said equipment in operating rooms has been found to be both expensive and inefficient.

Keywords: HEPA filters, Laminar air flow, Meta-analysis, Orthopaedic surgeries, Operating rooms, Surgical site infections, Wound healing

Introduction

These days, cardiac, orthopaedic, brain, ophthalmology, and other surgical procedures are frequent, although their purposes vary. They repair, remove, and reposition the injured tissues, organs, and blockages [1, 2]. Surgery is risky due to direct intraoperative trauma, perioperative infections, hematoma development, and postoperative infection [3, 4]. Staphylococcus, Streptococcus, and Pseudomonas bacteria cause most surgical site infections [5, 6]. These infections might be mild or severe, affecting the skin, tissues, organs, or biomaterial inserted during surgery [7].

Infections cause shortness of breath, confusion, acute discomfort, shivering, fever, a fast heart rate, and disorientation [8, 9]. These conditions may be fatal if left untreated. Thus, mortality is 0.4% and morbidity is 3–17% among the 250 million procedures conducted worldwide [10, 11]. Thus, to prevent these infections from affecting patients' health following surgery, the operating room must be sterile. This can be achieved with the use of scrub suits, clean air suits, sterile dressings, and a laminar airflow ventilation system (LAF) [12]. LAF through filtration equipment creates an ultraclean zone around the operation site [13].

LAF systems are useful for maintaining sterile conditions in the operating room because their microbial sedimentation plates produce a continuous flow of microorganism-free air, which improves air quality by reducing infectious microbes [14]. In their review article, James et al. [15] found that LAF theatres reduce microorganisms in operating theatre air. In their systematic review and meta-analysis, Liu et al. [16] found that LAF systems minimise surgical site infections (SSIs) by eliminating airborne germs.

Despite ample correlations linking LAF to reduced rates of surgical site infection, numerous studies have found it to be ineffective at lowering infection rates in the operating room during orthopaedic procedures. For instance, Friberg et al. [17] reported that the use of horizontal LAF units is seriously questionable, while Kakwani et al. [18] suggested the use of LAF in operating theatres. While Brandt et al. [19] reported that the use of LAF in operating theatres is highly risky and, instead of reducing it, it increases the chances of infection.

On the other hand, Nilson et al. [20] support its use in reducing SSIs. However, Sossai et al. [21], Hooper et al. [22] do not mention its use. Similarly, Bosanquet et al. [23] found its installation worthwhile for vascular surgery while Pinder et al. [24], Wang et al. [25], and Langvatan et al. [26] mentioned that installation of LAF is not suitable in operating theatres as it increases the chance of SSIs and unnecessary increases the financial burden owing to its high installation cost.

As there are contradictory studies regarding the use of LAF in the operating theatre, we systematically reviewed and meta-analysed the different studies on the role of LAF systems in the prevention of SSIs in operating rooms to evaluate the benefits and efficacy of LAF.

Material and methods

We followed the guidelines of PRISMA normative recommendations [27] in the present study with the registration number XCH#/IRB/2022/986.

Search strategy

This meta-analysis is based on an extensive search conducted in the databases of Medline (via PubMed), Cinahl (via Ebsco), Scopus, and WoS from the year 2000 till 2022.An inclusive literature search was conducted without any limitations on the year and language of publication utilizing the electronic databases Cochrane Library, EMBASE, and PubMed using the following search criteria: (I) “laminar airflow”; OR LAF; (II) “Surgical site infections” OR SSI; (III) “ High Efficiency Particulate Air Filter” OR & HEPA filters; (IV) “ Reduction in risk of SSIs”; (V) “Bacterial count in sampled air of operating rooms”; (VI) “wound healing”; (VII) “Orthopedic surgery”; (VIII) “sterile conditions” and (IX) “ Post-operative infections”. Within the context of the search strategy, the Boolean operator “AND” was used to combine the Medical Subject Headings (MeSH) with the text keywords. First, duplicate articles were deleted from the search results, followed by a title and abstract screening of the remaining articles. Finally, the full texts of all the qualified studies were retrieved and reviewed for inclusion and exclusion based on the inclusion—exclusion criteria. The full-text articles of the sources were collected and abstracts were used only if they had sufficient information for the meta-analysis. Articles were included following the PRISMA guidelines and studies were selected randomly as per the PICOS criteria as shown in Table 1, irrespective of the type of study (randomized clinical trial, comparative study, prospective study, or retrospective study). Two authors (XO and QW) separately scanned the relevant sources for related studies. A demographic summary of the patients and event data with useful variables was extracted from the included studies [1726] by two researchers (XL and TZ) independently.

Table 1.

PICOS Search

P (patient, problem, population) Patient underwent orthopaedic surgeries
I (intervention) Evaluation of effect of laminar airflow ventilation system in the prevention of surgical site infections (SSIs) in operating room
C (comparison, control or comparator) Comparison of operating rooms with or without laminar air flow
O [outcome (s)] laminar airflow ventilation system is not effective in the prevention of surgical site infections (SSIs) in operating room
S (study type) Randomized controlled trials, cohort study, comparative study, prospective study, retrospective study

Inclusion and exclusion criteria

Those studies included those that reported the use of a LAF ventilation system in an operating theatre for preventing SSIs and its comparison with other conventional filtration systems. Studies were selected from the years 2000 to 2022. In the present study, we only selected studies with the full text and sufficient data for a 2 × 2 table, while abstracts, studies with insufficient data, and related studies published before 2000 were excluded.

Evaluation of the analytical standard and source of heterogeneity

The methodological validity of the included studies was separately evaluated by two reviewers (XO and QW), and the heterogeneity of the included experiments was calculated. Author TZ was responsible for resolving any type of disagreement between authors (XO and QW). The heterogeneity was investigated by Cochran statistics, and the I2 index in random bivariate mode was calculated with the help of RevMan software [28] and MedCalc software [29]. The investigated heterogeneity sources were the use of randomized controlled trials vs. comparative studies; retrospective vs. prospective studies, different numbers of patients undergoing surgery; different types of surgery, and the use of different filtration systems.

Evaluation of risk of bias

The Robvis tool [30] was used to assess the quality of included studies and risk of bias graph and risk of bias summary was designed. This table documented random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, insufficient outcome data, selective reporting, and other forms of bias. We were able to assign a score of low; high, critical and serious to each parameter in our quality assessment of the study using this table. The inquiry was conducted independently by two distinct investigators (LYN and LQP), and the subsequent disagreement was addressed by a third investigator (WX). Publication bias was assessed by Begg's test, Egger’s test, and Deek’s funnel plot [30] via MedCalc software.

Statistical analysis

A meta-analysis was performed by RevMan and MedCalc software. For statistical analysis, the diagnostic odds ratio and risk ratio were calculated by the DerSimonian Lair technique using a 2 X 2 table made with the help of the event data. Statistical parameters like odds ratio and risk difference were calculated and their respective forest plots were plotted using RevMan software. The heterogeneity of studies was evaluated in terms of chi2 value, tau2 value, df value, I2 value, z-value, and p-value.

Results

Literature search results

We found a total of 1254 studies through electronic scans from different databases as per the PICOS criteria [31]. Among these studies, we excluded 159 studies by reading their titles and abstracts, and 1095 records were screened. Further, due to invalid references and duplicity, we excluded 829 studies and included only 267 studies for final screening. Out of these 267 studies, 219 studies were excluded based on the inclusion criteria, and the eligibility of the remaining 48 studies was assessed further. The key reasons for omission were inadequate evidence and inappropriate comparison criteria to create 2 × 2 tables for review. Finally, for meta-analysis, 10 studies ranging from the years 2000 to 2022 that fulfil the inclusion criteria, i.e., the use of LAF in operation theatres during orthopaedic surgeries for reducing SSIs were used as shown in Fig. 1. Included studies reported a total of 10,06,587 patients who underwent surgery. These patients underwent surgery in operating theatres that were either equipped with LAF or not. The descriptive details of the studies included in this meta-analysis are shown in Table 2. It describes the author of the study, publishing year, type of study, the intervention of the study, the total number of surgical departments, total number of surgeries, types of ventilators used in different departments, outcomes, the conclusion of the study, and p-value. Later, this event data was used to perform the meta-analysis.

Fig.1.

Fig.1

PRSIMA flow diagram of the included studies

Table 2.

Brief summary of the Included studies

Study Id and Year Journal of publication Type of study Total number of surgical departments Total number of orthopedic surgeries Intervention Types of surgical facility Number of departments Outcomes: bacterial count in site sampled air (CFU/m3), risk of SSI, reduction in SSI Conclusion p value References
Friberg et al. (2001) The Journal of hospital infection Comparative study 5 30 Surgical area contamination—comparison with or without laminar air-flow Facility without LAF 14/30 Bacterial count in site sampled air 8 CFU/m3 Use of horizontal LAF units is seriously questionable  < 0.001 [17]
Facility with LAF 16/30 Bacterial count in site sampled air 22 CFU/m3
Kakwani et al. (2007) Injury consecutive cohort-study 88 435 To study the effect of laminar air-flow on the outcomes of hemiarthroplasty Facility without LAF 223/435 Bacterial count in site sampled air 0.45 CFU/m3 Laminar air-flow equipped theatres were recommended for hemiarthroplasty procedures  < 0.001 [18]
Facility with LAF 212/435 Bacterial count in site sampled air 5.4 CFU/m3
Brandt et al. (2008) Annals of Surgery Retrospective cohort-study 44 99,230 Effect of Operating Room Ventilation with Laminar Airflow on the Surgical Site Infection (SSI) Rate Facility without LAF 31,573/99230 Risk of SSI 1.06 OR ventilation with laminar airflow showed no benefit and associated with a significantly higher risk for severe SSI after surgery  < 0.001 [19]
Facility with LAF 67,707/99230 Risk of SSI 1.63
Nilson et al. (2010) The Journal of hospital infection Comparative study 22 8550 Assessment of laminar air flow reduced infection during surgery Facility without LAF 3256/8550 Bacterial count in site sampled air 45 CFU/m3 LAF is efficient for reducing infection in operating room  < 0.001 [20]
Facility with LAF 4725/8550 Bacterial count in site sampled air 275 CFU/m3
Sossai et al. (2011) Journal of orthopaedics and traumatology Comparative study 2 17 Effect of LAF unit in reducing the bacterial contamination Facility without LAF 6/17 Bacterial count in site sampled air 23.5 CFU/m3 LAF unit not helps in reducing the bacterial contamination of the wound area  < 0.05 [21]
Facility with LAF 11/17 Bacterial count in site sampled air 3.5 CFU/m3
Hooper et al. (2011) The Journal of bone and joint surgery Retrospective study 50 36,826 Effect of laminar flow in reducing the infections after total hip and knee replacement surgery Facility without LAF 14,730/36826 Risk of SSI 0.110 Deep infections were not reduced by using the laminar air flow  < 0.001 [22]
Facility with LAF 9206/36826 Risk of SSI 0.082
Bosanquet et al. (2013) Annals of the Royal college of Surgeons of England Retrospective study 45 170 Effect of Laminar flow in reducing the surgical site infections in patients after surgery Facility without LAF 114/170 Reduction in Surgical site infections 17% laminar flow not helps in reducing the incidences of SSIs in patients after surgery  < 0.05 [23]
Facility with LAF 56/170 Reduction in Surgical site infections 7%
Pinder et al. (2016) The bone and joint journal Observational study 19 803 065 an observational study to demonstrate whether laminar flow ventilation reduce the rate of infection Facility without LAF 296,653/803065 Reduction in Surgical site infections 2.7% Installation of laminar flow causes no change in the incidences of SSIs  < 0.05 [24]
Facility with LAF 562,412/803065 Reduction in Surgical site infections 3.8%
Wang et al. (2020) Orthopedics Original cohort investigation 2 6972 Association of Laminar Airflow with Infection during total arthroplasty Facility without LAF 3027/6972 Reduction in Surgical site infection 0.4% There is no benefit of LAF in operating rooms  < 0.05 [25]
Facility with LAF 3945/6972 Reduction in Surgical site infection 0.5%
Langvatan et al. (2020) Journal of hospital infection Original investigation 62 51,292 Assessment of operating room ventilation and the risk of infection after total hip arthroplasty Facility without LAF 2046/4313 Risk of SSI 0.7 Chances of infection is less without LAF than with LAF 0.01 [26]
Facility with LAF 2647/4313 Risk of SSI 0.9

Meta-analysis results

A meta-analysis was performed using RevMan and MedCalc software. The results are discussed below:

Risk of bias assessment

A pre-designed questionnaire was used for assessment of Risk of bias and results are shown in Table 3. Figure 2 depicts the risk of bias summary, whereas Fig. 3 depicts the risk of bias graph. Six of the ten included studies were associated with low risk of bias whereas two had a moderate risk attributable to bias in classification of intervention and bias due to missing data. One study posed a serious risk of bias due to confounding and one has critical risk of bias due to selection of participants. The current meta-analysis has a low risk of publication bias as apparent from the funnel plot shown in Fig. 4, and the p values of both tests are non-significant (p > 0.05) [32]. Egger’s test p-value is 0.3628 and Begg’s test p-value is 0.4256.

Table 3.

Risk Assessment for Included Studies

Friberg et al. [17] Kakwani et al. [18] Brandt et al. [19] Nilson et al. [20] Sossai et al. [21] Hooper et al. [22] Bosanquet et al. [23] Pinder et al. [24] Wang et al. [25] Langvatan et al. [25]
Was a consecutive or random sample of patients enrolled? Yes Yes Yes Yes Yes Yes YES Yes Yes Yes
Did the studies avoid inappropriate exclusions Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Did all patients receive the same reference standard Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Were all patients included in the analysis No No No No No No No NO NO NO
Was the sample frame appropriate to address the target population? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Were studies participants sampled in an appropriate way? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Were the studies subjects and the setting described in detail? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Were valid methods used for the identification of the condition? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Was the condition measured in a standard, reliable ways for all participants? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Was there appropriate statistical analysis? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes

Fig. 2.

Fig. 2

Risk bias summary

Fig. 3.

Fig. 3

Risk of bias graph

Fig. 4.

Fig. 4

Funnel plot for publication bias

Statistical assessment

The overall pooled odds ratio and risk ratio of the included studies were calculated using RevMan software and their respective forest plots were designed as shown in Figs. 5 and 6. We obtained the overall pooled odds ratio (OR) of all the included studies equals to 1.70 (95% CI 1.10–2.64) with heterogeneity of Tau2 0.45, chi2 13,554.66, df 9, I2 100%, z value 2.39 and p < 0.05 and overall pooled risk ratio (RR) of 1.27 (95% CI 1.02–1.59) with heterogeneity of Tau2 0.12, chi2 11,698.50, df 9, I2 100%, z value 2.11 and p < 0.05.

Fig. 5.

Fig. 5

Forest plot for overall odds ratio of the included studies

Fig. 6.

Fig. 6

Forest plot for overall risk ratio of the included studies

The different primary outcomes of the included studies (risk of SSI, bacterial count in sampled air and reduction in SSI) were also assessed separately as shown in Fig. 7, 8 analyse the benefits of presence and absence of LAF as mentioned below:

Fig. 7.

Fig. 7

Forest plot risk ratio of different primary outcomes

Fig. 8.

Fig. 8

Design of Laminar air flow cabinet

Results for primary outcome: risk of SSI We obtained the pooled risk ratio of 1.10 [95%CI 1.02–1.19] with the heterogeneity of Tau2 0.00, chi2 48.61, df 2, I2 96%, z value 2.58 and p = 0.01.

Results for primary outcome: bacterial count in sampled air We obtained the pooled risk ratio of 1.22 [95% CI 1.03–1.44] with the heterogeneity of Tau2 0.01, chi2 7.45, df 3, I2 60%, z value 2.34 and p = 0.02.

Results for primary outcome: reduction in SSI We obtained the pooled risk ratio of 1.80 [95% CI 1.55–2.09] with the heterogeneity of Tau2 0.01, chi2 80.95, df 2, I2 98%, z value 7.67 and p = 0.00001.

The risk ratio and odds ratio value greater than 1 indicates the high likelihood of contamination and inefficiency of LAF in the prevention of SSIs in operating room during orthopedic surgeries. All of these results are statistically significant with a p-value less than 0.05 [3335] and indicate that the use of a LAF ventilation system in operating rooms is not worth reducing the chances of the prevention of SSIs.

Discussion

SSIs pose a significant medical concern as patients are required to endure both the surgical procedures and the subsequent recovery period [36, 37]. Therefore, it is imperative to implement various measures to decrease the incidence of SSIs in the operating rooms. The utilization of sterile attire, bandages, and antiseptic cleansers has been shown to be beneficial [3840]. It is recommended that the operating theatre be equipped with a LAF ventilation system.

A ventilation system that utilizes LAF is employed in operation theatres to produce air that is devoid of bacteria, thereby reducing the presence of infectious microorganisms in the air. The utilization of high-efficiency particle airflow in LAF systems results in the elimination of airborne pollutants and the establishment of a sterile environment. A sterile environment is essential for conducting microbiological experiments. The successful operation of the LAF chamber is contingent upon the utilization of a filter pad, fan, and high-efficiency particle air filter. The filter pad is designed to capture a majority of airborne pollutants, which are subsequently drawn in by a fan or blower. A high-efficiency particle air filter is capable of eliminating various types of airborne contaminants such as fungus spores, bacteria, and dust particles.

The results depicted in Fig. 8 indicate that the circulation of sterile air is evenly distributed throughout the workstation. [41, 42]. The operating room is equipped with an efficient air supply system, wherein the air is replaced at a rate of 15–25 times per hour. The air filtration systems utilized in operating rooms have been found to eliminate a significant proportion of particles that exceed 5 µm in size, with a range of 87–90%. LAF systems equipped with HEPA filters have the capacity to capture particles larger than 0.3 m with an efficiency of 99.97%. Despite their efficacy, these filters are associated with high costs that can impact the overall expenses of hospitals and surgical procedures, as reported in previous studies [43, 44].

The efficacy of using a surgical smoke evacuation system in preventing SSIs has been questioned by Kumin et al. [45] and Jain et al. [46] through their systematic review and meta-analysis. These studies have highlighted the high installation cost and the possibility of germs being trapped in the system's filter as potential drawbacks, despite other studies supporting its use. A higher incidence of infection was observed in orthopaedic operating rooms equipped with LAF systems. The pre-filter, also known as the filter pad, functions to purify the air prior to its entry into the cabinet, thereby facilitating a streamlined airflow. Subsequently, the fan facilitates the circulation of air towards the HEPA filters to undergo filtration.

HEPA filters are capable of capturing various types of particulate pollutants, such as bacteria and fungus, and subsequently emitting air that is free of particles. Failure to regularly clean these filters can result in the accumulation of germs, leading to the formation of microbial traps. Therefore, the extended usage of these items would not lead to a reduction in infection rates through the enhancement of air quality. Instead, it would result in the propagation of the disease and a heightened susceptibility to SSIs. Therefore, HEPA filters are not advisable owing to their elevated expenses and potential for contagion. In a similar vein, Sadrizadeh et al. [47] discovered that surgical garment systems used in operating rooms featuring LAF are a primary cause of post-operative infections, thereby restricting their usage. Similarly, Takutu et al. [48], Marasault et al. [49], Amiraslanpour et al. [50] have documented the constraints of the intervention and have not made any reference to its implementation in the surgical theater.

In line with these studies, our meta-analysis also revealed a pooled odds ratio (OR) value of 1.64 (95% CI 1.23–2.20) and a pooled risk ratio value of 1.30 (95% CI 1.14–1.48). The odds ratio and risk ratio values are greater than 1, which indicates a significant possibility that laminar airflow will increase the likelihood of SSIs rather than decrease them. The risk ratio of all the primary outcomes, including the risk of SSIs, the bacterial count in sample air, and the decrease in SSI incidences in patients in operating rooms with LAF installed, was also greater than 1, favouring the likelihood of higher infection risk in operating rooms with LAF. These findings supported the conclusion of the meta-analysis that LAF ventilation systems are not beneficial to patients undergoing orthopaedic surgery and should not be deployed in operating rooms.

Limitations

The limitation of the present study is that the here only English language articles were included which can cause possible bias in the paper selection. Other than this, evaluation of parameters via different scales also influences the result upto some extent. Data of other relevant studies that mentions the proper documentation regarding the case history of patient’s, clinical issues can also be included to assess the details about the pre-and post-operative patients’ health status to indicate the importance and efficiency of these studies more clearly and estimating the efficacy of LAF in reducing SSIs in patients undergoing surgery.

Conclusion

It's an urgent medical concern to find suitable ways to reduce surgical site infections for the successful recovery of patients after surgery and to reduce the time of hospital stay. Although for this purpose, the use of a LAF ventilation system is suggested, owing to its high installation cost and chances of microbial traps in filters that can enhance the infection instead of reducing it, it is of limited use. Based on our systematic review and statistically significant meta-analysis, we also found it ineffective in reducing SSIs after orthopedic surgeries and therefore advise against installing it in the operating room to save both the patient's health and money.

Acknowledgements

None declared.

Author contributions

XO: Concept and designed the study, QW: analyzed data and drafting of the manuscript; XL: Collected the data and helped in data analysis; SR and TZ: Proofreading and final editing along with guarantor of the manuscript. “All authors read and approved the final version of the manuscript”.

Funding

No Funding was received.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

All procedures performed in the study were following the institutional and/or national research committee’s standards and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Xueqian Ouyang and Qiaoloin Wang are co-first authors and they contributed equally to this work.

References

  • 1.Rose J, Weiser TG, Hider P, Wilson L, Gruen RL, Bickler SW. Estimated need for surgery worldwide based on prevalence of diseases: a modelling strategy for the WHO Global Health Estimate. Lancet Glob Health. 2015;3(Suppl 2):S13–20. doi: 10.1016/S2214-109X(15)70087-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Sayek I. Surgery, surgeon, and measurement of value and quality of surgeons' work. Scand J Surg. 2013;102(3):141–144. doi: 10.1177/1457496913489498. [DOI] [PubMed] [Google Scholar]
  • 3.Chand M, Armstrong T, Britton G, Nash GF. How and why do we measure surgical risk? J R Soc Med. 2007;100(11):508–512. doi: 10.1177/014107680710001113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Mullen MG, Michaels AD, Mehaffey JH, et al. Risk associated with complications and mortality after urgent surgery vs elective and emergency surgery: implications for defining “quality” and reporting outcomes for urgent surgery. JAMA Surg. 2017;152(8):768–774. doi: 10.1001/jamasurg.2017.0918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Motififard M, Teimouri M, Shirani K, Hatami S, Yadegari M. Prevalence of Bacterial surgical site infection in traumatic patients undergoing orthopedic surgeries: a cross-sectional study. Int J Burns Trauma. 2021;11(3):191–196. [PMC free article] [PubMed] [Google Scholar]
  • 6.Misha G, Chelkeba L, Melaku T. Bacterial profile and antimicrobial susceptibility patterns of isolates among patients diagnosed with surgical site infection at a tertiary teaching hospital in Ethiopia: a prospective cohort study. Ann Clin Microbiol Antimicrob. 2021;20:33. doi: 10.1186/s12941-021-00440-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Shakir A, Abate D, Tebeje F, Weledegebreal F. Magnitude of surgical site infections, bacterial etiologies, associated factors and antimicrobial susceptibility patterns of isolates among post-operative patients in Harari Region Public Hospitals, Harar, Eastern Ethiopia. Infect Drug Resist. 2021;5(14):4629–4639. doi: 10.2147/IDR.S329721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Reichman DE, Greenberg JA. Reducing surgical site infections: a review. Rev Obstet Gynecol. 2009;2(4):212–221. [PMC free article] [PubMed] [Google Scholar]
  • 9.Mukagendaneza MJ, Munyaneza E, Muhawenayo E, et al. Incidence, root causes, and outcomes of surgical site infections in a tertiary care hospital in Rwanda: a prospective observational cohort study. Patient Saf Surg. 2019;13:10. doi: 10.1186/s13037-019-0190-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Thind A, Mock C, Gosselin RA, McQueen K. Surgical epidemiology: a call for action. Bull World Health Organ. 2012;90(3):239–240. doi: 10.2471/BLT.11.093732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bhasin SK, Roy R, Agrawal S, Sharma R. An epidemiological study of major surgical procedures in an urban population of East delhi. Indian J Surg. 2011;73(2):131–135. doi: 10.1007/s12262-010-0198-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Anderson DJ, Podgorny K, Berríos-Torres SI, Bratzler DW, Dellinger EP, Greene L, Nyquist AC, Saiman L, Yokoe DS, Maragakis LL, Kaye KS. Strategies to prevent surgical site infections in acute care hospitals: 2014 update. Infect Control Hosp Epidemiol. 2014;35(6):605–627. doi: 10.1086/676022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.McHugh SM, Hill AD, Humphreys H. Laminar airflow and the prevention of surgical site infection. More harm than good? Surgeon. 2015;13(1):52–58. doi: 10.1016/j.surge.2014.10.003. [DOI] [PubMed] [Google Scholar]
  • 14.Kirschbaum S, Hommel H, Strache P, Horn R, Falk R, Perka C. Laminar air flow reduces particle load in TKA-even outside the LAF panel: a prospective, randomized cohort study. Knee Surg Sports Traumatol Arthrosc. 2021;29(11):3641–3647. doi: 10.1007/s00167-020-06344-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.James M, Khan WS, Nannaparaju MR, Bhamra JS, Morgan-Jones R. Current evidence for the use of laminar flow in reducing infection rates in total joint arthroplasty. Open Orthop J. 2015;30(9):495–498. doi: 10.2174/1874325001509010495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Liu YY, Shi LY, Duan YM, Li XM. The application value of operating room ventilation with laminar airflow for surgical site infection: a protocol for a systematic review and meta-analysis. Medicine (Baltimore) 2021;100(32):e26814. doi: 10.1097/MD.0000000000026814. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Friberg B, Friberg S, Ostensson R, Burman LG. Surgical area contamination–comparable bacterial counts using disposable head and mask and helmet aspirator system, but dramatic increase upon omission of head-gear: an experimental study in horizontal laminar air-flow. J Hosp Infect. 2001;47(2):110–115. doi: 10.1053/jhin.2000.0909. [DOI] [PubMed] [Google Scholar]
  • 18.Kakwani RG, Yohannan D, Wahab KH. The effect of laminar air-flow on the results of Austin-Moore hemiarthroplasty. Injury. 2007;38(7):820–823. doi: 10.1016/j.injury.2006.09.025. [DOI] [PubMed] [Google Scholar]
  • 19.Brandt C, Hott U, Sohr D, Daschner F, Gastmeier P, Rüden H. Operating room ventilation with laminar airflow shows no protective effect on the surgical site infection rate in orthopedic and abdominal surgery. Ann Surg. 2008;248(5):695–700. doi: 10.1097/SLA.0b013e31818b757d. [DOI] [PubMed] [Google Scholar]
  • 20.Nilsson KG, Lundholm R, Friberg S. Assessment of horizontal laminar air flow instrument table for additional ultraclean space during surgery. J Hosp Infect. 2010;76(3):243–246. doi: 10.1016/j.jhin.2010.05.016. [DOI] [PubMed] [Google Scholar]
  • 21.Sossai D, Dagnino G, Sanguineti F, et al. Mobile laminar air flow screen for additional operating room ventilation: reduction of intraoperative bacterial contamination during total knee arthroplasty. J Orthopaed Traumatol. 2011;12:207–211. doi: 10.1007/s10195-011-0168-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hooper GJ, Rothwell AG, Frampton C, Wyatt MC. Does the use of laminar flow and space suits reduce early deep infection after total hip and knee replacement?: The ten-year results of the New Zealand Joint Registry. J Bone Jt Surg Br. 2011;93(1):85–90. doi: 10.1302/0301-620X.93B1.24862. [DOI] [PubMed] [Google Scholar]
  • 23.Bosanquet DC, Jones CN, Gill N, Jarvis P, Lewis MH. Laminar flow reduces cases of surgical site infections in vascular patients. Ann R Coll Surg Engl. 2013;95(1):15–19. doi: 10.1308/003588413x13511609956011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Pinder EM, Bottle A, Aylin P, Loeffler MD. Does laminar flow ventilation reduce the rate of infection? An observational study of trauma in England. Bone Jt J. 2016;98-B(9):1262–1269. doi: 10.1302/0301-620X.98B9.37184. [DOI] [PubMed] [Google Scholar]
  • 25.Wang Q, Xu C, Goswami K, Tan TL, Parvizi J. Association of laminar airflow during primary total joint arthroplasty with periprosthetic joint infection. JAMA Netw Open. 2020;3(10):e2021194. doi: 10.1001/jamanetworkopen.2020.21194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Langvatn H, Schrama JC, Cao G, et al. Operating room ventilation and the risk of revision due to infection after total hip arthroplasty: assessment of validated data in the Norwegian Arthroplasty Register. J Hosp Infect. 2020;105(2):216–224. doi: 10.1016/j.jhin.2020.04.010. [DOI] [PubMed] [Google Scholar]
  • 27.Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Schmidt L, Shokraneh F, Steinhausen K, et al. Introducing RAPTOR: RevMan parsing tool for reviewers. Syst Rev. 2019;8:151. doi: 10.1186/s13643-019-1070-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Hanneman SK. Design, analysis, and interpretation of method-comparison studies. AACN Adv Crit Care. 2008;19(2):223–234. doi: 10.1097/01.AACN.0000318125.41512.a3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.McGuinness LA, Higgins JPT. Risk-of-bias visualization (robvis): an R package and Shiny web app for visualizing risk-of-bias assessments. Res Syn Meth. 2020 doi: 10.1002/jrsm.1411. [DOI] [PubMed] [Google Scholar]
  • 31.Saaiq M, Ashraf B. Modifying, “Pico” question into “Picos” model for more robust and reproducible presentation of the methodology employed in a scientific study. World J Plast Surg. 2017;6(3):390. [PMC free article] [PubMed] [Google Scholar]
  • 32.Hayashino Y, Noguchi Y, Fukui T. Systematic evaluation and comparison of statistical tests for publication bias. J Epidemiol. 2005;15(6):235–243. doi: 10.2188/jea.15.235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Mittlböck M, Heinzl H. A simulation study comparing properties of heterogeneity measures in meta-analyses. Stat Med. 2006;25(24):4321–4333. doi: 10.1002/sim.2692. [DOI] [PubMed] [Google Scholar]
  • 34.Ioannidis JP, Patsopoulos NA, Rothstein HR. Reasons or excuses for avoiding meta-analysis in forest plots. BMJ. 2008;336(7658):1413–1415. doi: 10.1136/bmj.a117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.van Aert RC, Wicherts JM, van Assen MA. Conducting Meta-analyses based on p values: reservations and recommendations for applying p-uniform and p-curve. Perspect Psychol Sci. 2016;11(5):713–729. doi: 10.1177/1745691616650874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Shahane V, Bhawal S, Lele U. Surgical site infections: a one year prospective study in a tertiary care center. Int J Health Sci (Qassim) 2012;6(1):79–84. doi: 10.12816/0005976.PMID:23267307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Mezemir R, Seid A, Gishu T, et al. Prevalence and root causes of surgical site infections at an academic trauma and burn center in Ethiopia: a cross-sectional study. Patient Saf Surg. 2020;14:3. doi: 10.1186/s13037-019-0229-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.De Simone B, Sartelli M, Coccolini F, et al. Intraoperative surgical site infection control and prevention: a position paper and future addendum to WSES intra-abdominal infections guidelines. World J Emerg Surg. 2020;15:10. doi: 10.1186/s13017-020-0288-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Gillespie BM, Bull C, Walker R, Lin F, Roberts S, Chaboyer W. Quality appraisal of clinical guidelines for surgical site infection prevention: a systematic review. PLoS ONE. 2018;13(9):e0203354. doi: 10.1371/journal.pone.0203354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Ahuja S, Peiffer-Smadja N, Peven K, et al. Use of feedback data to reduce surgical site infections and optimize antibiotic use in surgery: a systematic scoping review. Annals Surg. 2022;275(2):e345–e352. doi: 10.1097/SLA.0000000000004909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Dagli R, Çelik F, Özden H, Şahin S. Does the laminar airflow system affect the development of perioperative hypothermia? A randomized clinical trial. HERD. 2021;14(3):202–214. doi: 10.1177/1937586720985859. [DOI] [PubMed] [Google Scholar]
  • 42.Jutte PC, Traversari RA, Walenkamp GH. Laminar flow: the better choice in orthopaedic implants. Lancet Infect Dis. 2017;17(7):695–696. doi: 10.1016/S1473-3099(17)30342-0. [DOI] [PubMed] [Google Scholar]
  • 43.Humphreys H. Infection prevention and control considerations regarding ventilation in acute hospitals. Infect Prev Pract. 2021;3(4):100180. doi: 10.1016/j.infpip.2021.100180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Agirman A, Cetin YE, Avci M, et al. Effect of air exhaust location on surgical site particle distribution in an operating room. Build Simul. 2020;13:979–988. doi: 10.1007/s12273-020-0642-1. [DOI] [Google Scholar]
  • 45.Kümin M, Harper CM, Reed M, Bremner S, Perry N, Scarborough M. Reducing Implant Infection in Orthopaedics (RIIiO): a pilot study for a randomised controlled trial comparing the influence of forced air versus resistive fabric warming technologies on postoperative infection rates following orthopaedic implant surgery in adults. Trials. 2018;19(1):640. doi: 10.1186/s13063-018-3011-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Jain A, Jain R, Jain S. Laminar air flow/biosafety cabinets. In: Basic techniques in biochemistry, microbiology and molecular biology. New York: Springer Protocols Handbooks, Humana; 2020. 10.1007/978-1-4939-9861-6_2
  • 47.Sadrizadeh S, Aganovic A, Bogdan A, et al. A systematic review of operating room ventilation. J Build Eng. 2021;40:102693. doi: 10.1016/j.jobe.2021.102693. [DOI] [Google Scholar]
  • 48.Tacutu1 L, Nastase1 I, Bode F. Operating room ventilation with laminar air flow ceiling and a local laminar air flow system near the operating table for the patient. In: IOP conference series: materials science and engineering 2019. (Vol 609, No. 3, p. 032014)
  • 49.Marsault LV, Ravn C, Overgaard A, Frich LH, Olsen M, Anstensrud T, Nielsen J, Overgaard S. Laminar airflow versus turbulent airflow in simulated total hip arthroplasty: measurements of colony-forming units, particles, and energy consumption. J Hosp Infect. 2021;115:117–123. doi: 10.1016/j.jhin.2021.06.009. [DOI] [PubMed] [Google Scholar]
  • 50.Amiraslanpour M, et al. Evaluation of laminar airflow heating, ventilation, and air conditioning system for particle dispersion control in operating room including staffs: a non-Boussinesq Lagrangian study. J Build Phys. 2021;45(2):236–264. doi: 10.1177/1744259120932932. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


Articles from Journal of Orthopaedic Surgery and Research are provided here courtesy of BMC

RESOURCES