JOURNAL OF CLINICAL SURGERY ›› 2025, Vol. 33 ›› Issue (4): 370-374.doi: 10.3969/j.issn.1005-6483.20240823

Previous Articles     Next Articles

Etiological analysis of incision infection after open fracture of lower extremity and construction of risk prediction model

LIU Guanlei,WU Yongdong,LI Fubin,LIU Wendong,GAO Shijie   

  1. Department of Lower Limb Traumatology,Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine,Hebei Province,Hebei Provincial of Integrated Traditional Chinese and Western Medicine (in preparation),Cangzhou 061012,China
  • Received:2024-05-30 Online:2025-04-20 Published:2025-04-20

Abstract: Objective To examine the causes of incision infections following lower extremity open fractures and develop a predictive model for assessing the risk.Methods A total of 104 patients with open fractures of the lower extremity,who received internal fixation from January 2022 to August 2023.According to whether there was incision infection after the operation,the patients were divided into infection group and non-infection group.The aim of the study was to analyze the distribution of pathogenic bacteria causing postoperative incision infections.Single-factor and multifactor Logistic regression analyses were employed to examine the factors influencing postoperative incisional infections.Subsequently,a risk prediction model for these infections was developed.The predictive capacity of this model was assessed using ROC curves.Results In the cohort of 104 patients with open fractures of the lower limb,the occurrence rate of postoperative incision infections was 19.23%.A total of 45 non-repeated pathogenic bacteria were isolated,among which gram-positive bacteria accounted for 53.33%,gram-negative bacteria 42.22%,fungi 4.44%.Gram-positive bacteria showed 100% resistance to ampicillin/sulbactam and penicillin,while resistance rates for erythromycin and clindamycin exceeded 90%.Among gram-negative bacteria,resistance rates to cefazolin,sulfamethoxazole/trimethoprim,levofloxacin,ampicillin/sulbactam,ciprofloxacin,and gentamicin were all above 67%.Notably,resistance rates for cefazolin,sulfamethoxazole,and trimethoprim surpassed 90%.Univariate and multifactorial Logistic stepwise regression analysis highlighted that time elapsed from injury to surgery,duration of surgery,length of hospital stay,perioperative prophylactic medication,and Gustilo classification were significant risk factors for postoperative incisional infections in patients with the condition (P<0.05).The ROC curves illustrated that the risk prediction model accurately forecasted the incidence of postoperative incisional infections in patients with open fractures of the lower extremity,with an area under the curve of 0.861 (95%CI:0.811 to 0.911),boasting a sensitivity of 90.50% and a specificity of 72.92%.Conclusion The main pathogen of wound infection after open fracture of lower extremity is Gram-negative,the time from injury to operation,operation time,hospitalization time,prophylactic medication during perioperative period and GUSTILO classification were the influencing factors of postoperative wound infection.In addition,the establishment of risk prediction model has a good prediction effect on the incidence of postoperative wound infection in patients with this disease.

Key words: lower limb fracture, wound infection, pathogen, model construction

[1] CHEN Xin, GUAN Dafan, ZHANG Cong. Correlation analysis of serum FM,HDL-C,Hcy,and D-dimer levels with deep vein thrombosis in patients with lower limb fractures before and after surgery [J]. JOURNAL OF CLINICAL SURGERY, 2025, 33(2): 158-161.
[2] DONG Hongyi, LIU Diangang. Advances in pathogenesis,diagnosis and treatment of bile reflux [J]. JOURNAL OF CLINICAL SURGERY, 2024, 32(5): 554-557.
[3] LI Huijuan,LIU Yan,LIU Ying,ZHANG Tian,SHEN Ling. Analysis of high risk factors affecting the occurrence of vascular crisis after finger replantation and construction of risk prediction model [J]. JOURNAL OF CLINICAL SURGERY, 2024, 32(12): 1255-1258.
[4] WANG Jinxia, MIN Xiaocui, WANG Furong, LIU Xiaoyang. Research progress on the molecular mechanism of peritoneal adhesions [J]. JOURNAL OF CLINICAL SURGERY, 2024, 32(11): 1226-1229.
[5] JI Fengjun,LIU Wei,JING Shiyin,WU Bin,YANG Changgang. Analysis of influencing factors and construction of prediction model for cardiac complications in patients with non-small cell lung cancer after endoscopic surgery [J]. JOURNAL OF CLINICAL SURGERY, 2024, 32(10): 1040-1043.
[6] LI Shuling , LUO Jinggen, LIU Junjie. The clinical practice of stoma reversal by using gunsight skin flap technique [J]. JOURNAL OF CLINICAL SURGERY, 2022, 30(4): 357-359.
[7] . Progress in the pathogenesis and treatment of hirschsprungassociated enterocolitis [J]. JOURNAL OF CLINICAL SURGERY, 2021, 29(6): 587-589.
[8] . Application value of nextgeneration sequencing technology in the detection of pathogenic bacteria in the joint fluid of delayed infection after knee arthroplasty [J]. JOURNAL OF CLINICAL SURGERY, 2020, 28(11): 1043-1046.
[9] YU Pengtao, SUN Haijun, LI Zhituo, et al.. Progress in diagnosis and treatment of Mirizzi syndrome [J]. JOURNAL OF CLINICAL SURGERY, 2019, 27(8): 721-723.
[10] . Distribution and antimicrobial susceptibility of pathogens implicated in Urinary Tract Infection of male inpatients [J]. JOURNAL OF CLINICAL SURGERY, 2019, 27(2): 113-116.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 735 .
[2] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 737 .
[3] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 741 .
[4] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 760 .
[5] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 764 .
[6] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 766 .
[7] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 792 .
[8] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 802 .
[9] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(10): 808 .
[10] . [J]. JOURNAL OF CLINICAL SURGERY, 2016, 24(11): 824 .