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Published in: Knee Surgery, Sports Traumatology, Arthroscopy 6/2020

01-06-2020 | Joint Infection | KNEE

Time-dependent surgical instrument contamination begins earlier in the uncovered table than in the covered table

Authors: Erdal Uzun, Abdulhamit Misir, Mustafa Ozcamdalli, Emine Eylul Kizkapan, Alper Cirakli, Mustafa Kerem Calgin

Published in: Knee Surgery, Sports Traumatology, Arthroscopy | Issue 6/2020

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Abstract

Purpose

Time-dependent surgical instrument contamination and the effect of covering during arthroplasty have not been investigated. This study aimed to evaluate time-dependent contamination of surgical instruments and the effect of covering on contamination as well as to perform bacterial typing of contaminated samples. The hypothesis was that covering the surgical instruments would decrease contamination rates.

Methods

Sixty patients who underwent total knee arthroplasty were randomized and divided into two groups: surgical instruments covered with a sterile towel or surgical instruments left uncovered. K-wires were used to extract microbiological samples. The K-wires were placed in a liquid culture medium at 0, 15, 30, 60, 90, and 120 min. After 24-h incubation period, samples from liquid cultures were cultured on blood agar using swabs. Samples with growth after 48 h were considered contaminated. Microscopic, staining, and biochemical properties were used for bacterial typing.

Results

Bacterial growth started after 30 and 60 min in the uncovered and covered groups, respectively. An increase in the number of K-wires contaminated with time was detected. At least 10,000 CFU/mL bacterial load was observed in the culture samples. Contamination was more significant in the uncovered group. A statistically significant difference in contamination was found between the uncovered and covered groups at 30-, 60-, 90-, and 120 min (p = 0.035, p = 0.012, p = 0.024, and p = 0.037, respectively). The most common bacteria on the contaminated instruments were coagulase-negative Staphylococci (60.4%), Staphylococcus aureus (22.9%), and Streptococcus agalactia (16.7%), respectively.

Conclusion

The risk of contamination increases with time. However, it may decrease if surgical instruments are covered. In the clinical practice, empiric antibiotic regimens based on the type of identified microorganisms in this study may be developed for postoperative periprosthetic joint infection prophylaxis.

Level of evidence

Prognostic, Level II.
Literature
1.
go back to reference Alamanda VK, Springer BD (2018) Perioperative and modifiable risk factors for periprosthetic joint infections (PJI) and recommended guidelines. Curr Rev Musculoskelet Med 11(3):325–331CrossRef Alamanda VK, Springer BD (2018) Perioperative and modifiable risk factors for periprosthetic joint infections (PJI) and recommended guidelines. Curr Rev Musculoskelet Med 11(3):325–331CrossRef
2.
go back to reference Alamanda VK, Springer BD (2019) The prevention of infection 12: modifiable risk factors. Bone Joint J 101-B(1 Suppl A):3–9CrossRef Alamanda VK, Springer BD (2019) The prevention of infection 12: modifiable risk factors. Bone Joint J 101-B(1 Suppl A):3–9CrossRef
3.
go back to reference Badawy M, Espehaug B, Fenstad AM, Indrekvam K, Dale H, Havelin LI, Furnes O (2017) Patient and surgical factors affecting procedure duration and revision risk due to deep infection in primary total knee arthroplasty. BMC Musculoskelet Disord 18(1):544CrossRef Badawy M, Espehaug B, Fenstad AM, Indrekvam K, Dale H, Havelin LI, Furnes O (2017) Patient and surgical factors affecting procedure duration and revision risk due to deep infection in primary total knee arthroplasty. BMC Musculoskelet Disord 18(1):544CrossRef
4.
go back to reference Bible JE, O’Neill KR, Crosby CG, Schoenecker JG, McGirt MJ, Devin DJ (2013) Implant contamination during spine surgery. Spine J 13(6):637–640CrossRef Bible JE, O’Neill KR, Crosby CG, Schoenecker JG, McGirt MJ, Devin DJ (2013) Implant contamination during spine surgery. Spine J 13(6):637–640CrossRef
5.
go back to reference Campbell DA Jr, Henderson WG, Englesbe MJ, Hall BL, O’Reilly M, Bratzler D, Dellinger EP, Neumayer L, Bass BL, Hutter MM, Schwartz J, Ko C, Itani K, Steinberg SM, Siperstein A, Sawyer RG, Turner DJ, Khuri SF (2008) Surgical site infection prevention: the importance of operative duration and blood transfusion—results of the first American College of Surgeons–National Surgical Quality Improvement Program Best Practices Initiative. J Am Coll Surg 207:810–820CrossRef Campbell DA Jr, Henderson WG, Englesbe MJ, Hall BL, O’Reilly M, Bratzler D, Dellinger EP, Neumayer L, Bass BL, Hutter MM, Schwartz J, Ko C, Itani K, Steinberg SM, Siperstein A, Sawyer RG, Turner DJ, Khuri SF (2008) Surgical site infection prevention: the importance of operative duration and blood transfusion—results of the first American College of Surgeons–National Surgical Quality Improvement Program Best Practices Initiative. J Am Coll Surg 207:810–820CrossRef
6.
go back to reference Dalstrom DJ, Venkatarayappa I, Manternach AL, Palcic MS, Heyse BA, Prayson MJ (2008) Time-dependent contamination of opened sterile operating-room trays. J Bone Joint Surg Am 90(5):1022–1025CrossRef Dalstrom DJ, Venkatarayappa I, Manternach AL, Palcic MS, Heyse BA, Prayson MJ (2008) Time-dependent contamination of opened sterile operating-room trays. J Bone Joint Surg Am 90(5):1022–1025CrossRef
7.
go back to reference George DA, Drago L, Scarponi S, Gallazzi E, Haddad FS, Romano CL (2017) Predicting lower limb periprosthetic joint infections: a review of risk factors and their classification. World J Orthop 8(5):400–411CrossRef George DA, Drago L, Scarponi S, Gallazzi E, Haddad FS, Romano CL (2017) Predicting lower limb periprosthetic joint infections: a review of risk factors and their classification. World J Orthop 8(5):400–411CrossRef
8.
go back to reference Gristina AG, Costerton JW (1984) Bacterial adherence and the glycocalyx and their role in musculoskeletal infection. Orthop Clin N Am 15:517–535 Gristina AG, Costerton JW (1984) Bacterial adherence and the glycocalyx and their role in musculoskeletal infection. Orthop Clin N Am 15:517–535
9.
go back to reference Kapadia BH, Berg RA, Daley JA, Fritz J, Bhave A, Mont MA (2016) Periprosthetic joint infection. Lancet 387(10016):386–394CrossRef Kapadia BH, Berg RA, Daley JA, Fritz J, Bhave A, Mont MA (2016) Periprosthetic joint infection. Lancet 387(10016):386–394CrossRef
10.
go back to reference Kong L, Cao J, Zhang Y, Ding W, Shen Y (2017) Risk factors for periprosthetic joint infection following primary total hip or knee arthroplasty: a meta-analysis. Int Wound J 14(3):529–536CrossRef Kong L, Cao J, Zhang Y, Ding W, Shen Y (2017) Risk factors for periprosthetic joint infection following primary total hip or knee arthroplasty: a meta-analysis. Int Wound J 14(3):529–536CrossRef
11.
go back to reference Kurtz SM, Lau E, Watson H, Schmier JK, Parvizi J (2012) Economic burden of periprosthetic joint infection in the United States. J Arthroplast 27(8 Suppl):61–65.e1CrossRef Kurtz SM, Lau E, Watson H, Schmier JK, Parvizi J (2012) Economic burden of periprosthetic joint infection in the United States. J Arthroplast 27(8 Suppl):61–65.e1CrossRef
12.
go back to reference Menekse G, Kuscu F, Suntur BM, Gezercan Y, Ates T, Ozsoy KM, Okten AI (2015) Evaluation of the time-dependent contamination of spinal implants: prospective randomized trial. Spine (Phila Pa 1976) 40(16):1247–1251CrossRef Menekse G, Kuscu F, Suntur BM, Gezercan Y, Ates T, Ozsoy KM, Okten AI (2015) Evaluation of the time-dependent contamination of spinal implants: prospective randomized trial. Spine (Phila Pa 1976) 40(16):1247–1251CrossRef
13.
go back to reference Namba RS, Inacio MC, Paxton EW (2013) Risk factors associated with deep surgical site infections after primary total knee arthroplasty: an analysis of 56,216 knees. J Bone Joint Surg Am 95:775–782CrossRef Namba RS, Inacio MC, Paxton EW (2013) Risk factors associated with deep surgical site infections after primary total knee arthroplasty: an analysis of 56,216 knees. J Bone Joint Surg Am 95:775–782CrossRef
14.
go back to reference Peersman G, Laskin R, Davis J, Peterson MG, Richart T (2006) Prolonged operative time correlates with increased infection rate after total knee arthroplasty. HSS J 2:70–72CrossRef Peersman G, Laskin R, Davis J, Peterson MG, Richart T (2006) Prolonged operative time correlates with increased infection rate after total knee arthroplasty. HSS J 2:70–72CrossRef
15.
go back to reference Tsai DM, Caterson EJ (2014) Current preventive measures for health-care associated surgical site infections: a review. Patient Saf Surg 8(1):42CrossRef Tsai DM, Caterson EJ (2014) Current preventive measures for health-care associated surgical site infections: a review. Patient Saf Surg 8(1):42CrossRef
16.
go back to reference Wang Q, Goswami K, Shohat N, Aelirezaie A, Manrique J, Parvizi J (2019) Longer operative time results in a higher rate of subsequent periprosthetic joint infection in patients undergoing primary joint arthroplasty. J Arthroplast 34(5):947–953CrossRef Wang Q, Goswami K, Shohat N, Aelirezaie A, Manrique J, Parvizi J (2019) Longer operative time results in a higher rate of subsequent periprosthetic joint infection in patients undergoing primary joint arthroplasty. J Arthroplast 34(5):947–953CrossRef
Metadata
Title
Time-dependent surgical instrument contamination begins earlier in the uncovered table than in the covered table
Authors
Erdal Uzun
Abdulhamit Misir
Mustafa Ozcamdalli
Emine Eylul Kizkapan
Alper Cirakli
Mustafa Kerem Calgin
Publication date
01-06-2020
Publisher
Springer Berlin Heidelberg
Keyword
Joint Infection
Published in
Knee Surgery, Sports Traumatology, Arthroscopy / Issue 6/2020
Print ISSN: 0942-2056
Electronic ISSN: 1433-7347
DOI
https://doi.org/10.1007/s00167-019-05607-y

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