Comparison of preoperative hair removal methods for the reduction of surgical site infections: a meta-analysis

2017 ◽  
Vol 26 (19-20) ◽  
pp. 2907-2914 ◽  
Author(s):  
Dingmei Shi ◽  
Yao Yao ◽  
Weifei Yu
2011 ◽  
Vol 115 (4) ◽  
pp. 670-678 ◽  
Author(s):  
Marike L. D. Broekman ◽  
Janneke van Beijnum ◽  
Wilco C. Peul ◽  
Luca Regli

Many neurosurgeons remove their patients' hair before surgery. They claim that this practice reduces the chance of postoperative surgical site infections, and facilitates planning, attachment of the drapes, and closure. However, most patients dread this procedure. The authors performed the first systematic review on shaving before neurosurgical procedures to investigate whether this commonly performed procedure is based on evidence. They systematically reviewed the literature on wound infections following different shaving strategies. Data on the type of surgery, surgeryrelated infections, preoperative shaving policy, decontamination protocols, and perioperative antibiotics protocols were collected. The search detected 165 articles, of which 21 studies—involving 11,071 patients—were suitable for inclusion. Two of these studies were randomized controlled trials. The authors reviewed 13 studies that reported on the role of preoperative hair removal in craniotomies, 14 on implantation surgery, 5 on bur hole procedures, and 3 on spine surgery. Nine studies described shaving policies in pediatric patients. None of these papers provided evidence that preoperative shaving decreases the occurrence of postoperative wound infections. The authors conclude that there is no evidence to support the routine performance of preoperative hair removal in neurosurgery. Therefore, properly designed studies are needed to provide evidence for preoperative shaving recommendations.


2005 ◽  
Vol 26 (12) ◽  
pp. 923-928 ◽  
Author(s):  
B. S. Niël-Weise ◽  
J. C. Wille ◽  
P. J. van den Broek

AbstractObjective:To determine whether certain hair removal policies are better than others to prevent surgical-site infections in patients undergoing clean surgery.Methods:Publications were retrieved by a systematic search of Medline, the Cochrane Library, and EMBASE up to February 2005. Additionally, the reference lists of all identified trials were examined. All randomized trials, quasi-randomized trials, and systematic reviews or meta-analyses of randomized or quasi-randomized trials comparing hair removal policies in clean surgery were selected. Trials involving patients undergoing cranial neurosurgery were excluded. Two reviewers independently assessed trial quality and extracted data. Disagreements were resolved by discussion with a third reviewer. Data from the original publications were used to calculate the relative risk or risk difference of surgical-site infection. Data for similar outcomes were combined in the analysis, where appropriate, with the use of a random effects model.Results:Four trials were included in the review. No eligible systematic review or meta-analysis of randomized or quasi-randomized trials was found. The quality of the trials and how they were reported were generally unsatisfactory. Evidence regarding whether preoperative hair removal has any effect was inconclusive. When hair removal was considered necessary, evidence about the best time for removal was inconclusive. There was some evidence that hair removal by clipper is superior to removal by razor.Conclusions:Because of insufficient evidence as a basis for recommendations, the practical consequences for ward management were essential when the Dutch Working Party on Infection Prevention formulated its recommendations for hair removal policies. Large randomized, controlled trials are needed to determine the optimal policy for preoperative hair removal.


Author(s):  
Laurens D. Eeftinck Schattenkerk ◽  
Gijsbert D. Musters ◽  
David J. Nijssen ◽  
Wouter J. de Jonge ◽  
Ralph de Vries ◽  
...  

Neurosurgery ◽  
2018 ◽  
Vol 84 (3) ◽  
pp. 569-580 ◽  
Author(s):  
Pavlos Texakalidis ◽  
Victor M Lu ◽  
Yagiz Yolcu ◽  
Panagiotis Kerezoudis ◽  
Mohammed Ali Alvi ◽  
...  

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