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Risk factors for deep surgical site infection following surgically treated peri-ankle fractures: a case-control study based on propensity score matching.
Zhao, Haitao; Meng, Jinghong; Sun, Tao; Wan, Zihan; Qin, Shiji; Zhang, Fengqi; Hou, Zhiyong.
Affiliation
  • Zhao H; Department of Orthopaedic Trauma Center, The 3rd Hospital of Hebei Medical University, No 139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China.
  • Meng J; Department of Foot and Ankle Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, People's Republic of China.
  • Sun T; Department of Rheumatology and Immunology, The 3rd Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, People's Republic of China.
  • Wan Z; Department of Bone Tumor, The 3rd Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, People's Republic of China.
  • Qin S; College of Basic Medicine, Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China.
  • Zhang F; Department of Foot and Ankle Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, People's Republic of China.
  • Hou Z; Department of Foot and Ankle Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, People's Republic of China.
J Orthop Surg Res ; 17(1): 542, 2022 Dec 15.
Article in En | MEDLINE | ID: mdl-36522748
ABSTRACT

AIMS:

This study aims to identify the risk factors for deep surgical site infection (DSSI) following surgically treated peri-ankle fractures.

METHODS:

We performed a retrospective case-control study using the propensity score matching (PSM) method in 12 ratio, based on the 6 baseline variables, including age, gender, living area, insurance type, fracture location and surgical date. Data on patients who underwent surgical treatment of peri-ankle fractures were collected by inquiring their hospitalization medical records and operative records, as well as the laboratory reports. Conditional logistic regression analysis was performed to identify the risk factors for DSSI.

RESULTS:

A total of 2147 patients were eligibly included and 74 had a DSSI, indicating an incidence rate of 3.4%. After PSM, 70 cases of DSSI and 140 controls without DSSI were matched, constituting the study cohort. The univariate analyses showed significant differences between groups in terms of history of any surgery, time to operation, surgical wound classification, smoking, alcohol drinking, RBC count, hemoglobin concentration and hematocrit (%). The conditional logistic regression analysis showed time to operation of < 4 or > 9 (vs 4-9 days); unclean wound, current smoking, high-energy injury mechanism and lower hematocrit were independent risk factors for DSSI.

CONCLUSIONS:

Timely modification of smoking and hematocrit (%), and limiting operation within a rational time frame for an optimized soft tissue condition, may provide potential clinical benefits for SSI prevention.
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Full text: 1 Database: MEDLINE Main subject: Ankle Fractures Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Orthop Surg Res Year: 2022 Type: Article

Full text: 1 Database: MEDLINE Main subject: Ankle Fractures Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Orthop Surg Res Year: 2022 Type: Article