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http://dx.doi.org/10.20408/jti.2018.023

Analysis of Risk Factors for Infection in Orthopedic Trauma Patients  

Moon, Gi Ho (Department of Orthopedic Surgery, Guro Hospital, Korea University Medical Center)
Cho, Jae-Woo (Department of Orthopedic Surgery, Guro Hospital, Korea University Medical Center)
Kim, Beom Soo (Department of Orthopedic Surgery, Guro Hospital, Korea University Medical Center)
Yeo, Do Hyun (Department of Orthopedic Surgery, Guro Hospital, Korea University Medical Center)
Oh, Jong-Keon (Department of Orthopedic Surgery, Guro Hospital, Korea University Medical Center)
Publication Information
Journal of Trauma and Injury / v.32, no.1, 2019 , pp. 40-46 More about this Journal
Abstract
Purpose: We perform an analysis of infection risk factors for fracture patients and confirm that the risk factors reported in previous studies increase the risk of actual infection among fractured patients. In addition, injury severity score (ISS) which is used as an evaluation tool for morbidity of trauma patients, confirms whether there is a relationship with infection after orthopedic fracture surgery. Methods: We retrospectively reviewed 1,818 patients who underwent fixation surgery at orthopedic trauma team, focused trauma center from January 1, 2015 to December 31, 2017. Thirty-five patients were infected after fracture surgery. We analyzed age, sex, open fracture criteria based on Gustilo-Aderson classification 3b, anatomical location (upper extremity or lower extremity) of fracture, diabetes, smoking, ISS. Results: Of 1,818 patients, 35 (1.9%) were diagnosed with postoperative infection. Of the 35 infected patients, nine (25.7%) were female and five (14.0%) were upper extremity fractures. Three (8.6%) were diagnosed with diabetes and eight (22.8%) were smokers. Thirteen (37.1%) had ISS less than nine points and six (17.1%) had ISS 15 points or more. Of 1,818 patients, 80 had open fractures. Surgical site infection were diagnosed in 12 (15.0%) of 80. And nine of 12 were checked with Gustilo-Aderson classification 3b or more. Linear logistic regression analysis was performed using statistical analysis program Stata 15 (Stata Corporation, College Station, TX, USA). In addition, independent variables were logistic regression analyzed individually after Propensity scores matching. In all statistical analyzes, only open fracture was identified as a risk factor. Conclusions: The risk factors for infection in fracture patients were found to be significantly influenced by open fracture rather than the underlying disease or anatomical feature of the patient. In the case of ISS, it is considered that there is a limitation. It is necessary to develop a new scoring system that can appropriately approach the morbidity of fracture trauma patients.
Keywords
Fracture; Infection; Risk factor; ISS;
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1 Cook A, Weddle J, Baker S, Hosmer D, Glance L, Friedman L, et al. A comparison of the injury severity score and the trauma mortality prediction model. J Trauma Acute Care Surg 2014;76:47-52; discussion 52-3.   DOI
2 Baker SP, O'Neill B, Haddon WJ Jr, long WB. The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma 1974;14:187-96.   DOI
3 Jamulitrat S, Narong MN, Thongpiyapoom S. Trauma severity scoring systems as predictors of nosocomial infection. Infect Control Hosp Epidemiol 2002;23:268-73.   DOI
4 Bedard NA, Dowdle SB, Wilkinson BG, Duchman KR, Gao Y, Callaghan JJ. What is the impact of smoking on revision total knee arthroplasty? J Arthroplasty 2018;33:S172-6.   DOI
5 Ozturk AM, Uysal S, Yildirim Simsir I, Hungor H, Isikgoz Tasbakan M. Hand infection in patients with diabetes: a series of 17 cases and a pooled analysis of the literature. Turk J Med Sci 2018;48:372-7.
6 Papakostidis C, Kanakaris NK, Pretel J, Faour O, Morell DJ, Giannoudis PV. Prevalence of complications of open tibial shaft fractures stratified as per the Gustilo-Anderson classification. Injury 2011;42:1408-15.   DOI
7 Rahman WA, Kazi HA, Gollish JD. Results of single stage exchange arthroplasty with retention of well fixed cement-less femoral component in management of infected total hip arthroplasty. World J Orthop 2017;8:264-70.   DOI
8 Marmor S, Kerroumi Y. Patient-specific risk factors for infection in arthroplasty procedure. Orthop Traumatol Surg Res 2016;102(1 Suppl):S113-9.   DOI
9 Tan TL, Maltenfort MG, Chen AF, Shahi A, Higuera CA, Siqueira M, et al. Development and evaluation of a preoperative risk calculator for periprosthetic joint infection following total joint arthroplasty. J Bone Joint Surg Am 2018;100:777-85.   DOI
10 Casqueiro J, Casqueiro J, Alves C. Infections in patients with diabetes mellitus: a review of pathogenesis. Indian J Endocrinol Metab 2012;16(Suppl1):S27-36.   DOI
11 Jackson LC, Pacchiana PD. Common complications of fracture repair. Clin Tech Small Anim Pract 2004;19:168-79.   DOI
12 Carpintero P, Caeiro JR, Carpintero R, Morales A, Silva S, Mesa M. Complications of hip fractures: a review. World J Orthop 2014;5:402-11.   DOI
13 Alverdy JC, Luo JN. The influence of host stress on the mechanism of infection: lost microbiomes, emergent pathobiomes, and the role of interkingdom signaling. Front Microbiol 2017;8:322.
14 Rochford ET, Richards RG, Moriarty TF. Influence of material on the development of device-associated infections. Clin Microbiol Infect 2012;18:1162-7.   DOI
15 Tzeng A, Tzeng TH, Vasdev S, Korth K, Healey T, Parvizi J, et al. Treating periprosthetic joint infections as biofilms: key diagnosis and management strategies. Diagn Microbiol Infect Dis 2015;81:192-200.   DOI
16 Bonnevialle P. Operative treatment of early infection after internal fixation of limb fractures (exclusive of severe open fractures). Orthop Traumatol Surg Res 2017;103:S67-73.   DOI
17 Berkes M, Obremskey WT, Scannell B, Ellington JK, Hymes RA, Bosse M, et al. Maintenance of hardware after early postoperative infection following fracture internal fixation. J Bone Joint Surg Am 2010;92:823-8.   DOI
18 Ovaska MT, Makinen TJ, Madanat R, Vahlberg T, Hirvensalo E, Lindahl J. Predictors of poor outcomes following deep infection after internal fixation of ankle fractures. Injury 2013;44:1002-6.   DOI
19 Sutherland AG, Johnston AT, Hutchison JD. The new injury severity score: better prediction of functional recovery after musculoskeletal injury. Value Health 2006;9:24-7.   DOI
20 Paffrath T, Lefering R, Flohe S; TraumaRegister DGU. How to define severely injured patients? -- An injury severity score (ISS) based approach alone is not sufficient. Injury 2014;45 Suppl 3:S64-9.   DOI