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Background: Surgical site infection (SSI) hampers the advantages of surgical management, which requires early forecast particularly in patients receiving colorectal surgery. This study is to explore potential relationship between individual abdominal anatomic characteristics including subcutaneous fat thickness (SFT), rectus abdominis thickness (RAT), and abdomen depth (AD), with the incidence of SSI in elective radical resection of colon malignancy. Materials and Methods: This retrospective case-control study has recruited 55 patients in each SSI and non-SSI group with propensity score match method. Demographics, clinical attributes, and pre- and intra-operative information were compared between groups with univariate analysis to elicit significant parameters, which were subsequently brought into logistic regression and receiver-operating characteristic (ROC) analysis. Results: Patients with SSI showed lower preoperative albumin (p = 0.0022), higher RAT (p = 0.014), AD (p = 0.029), and the multiplied value (RAT × AD) (p = 0.0026) contrasted with patients without SSI. Logistic regression demonstrated RAT × AD as an independent risk factor for SSI (OR = 1.007, p < 0.001) and a biomarker for SSI prediction (AUC = 0.83, 95% CI: 0.74 ~ 0.91). Conclusions: Preoperative RAT and abdomen depth are associated with the risk of postoperative SSI in patients receiving elective radical resection of colon cancer. Trial Registration: www.researchregistry.com, identifier researchregistry3669.
Pubmed ID: 31380276
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Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.
View all literature mentionsSoftware package used for interactive, or batched, statistical analysis in social science, health sciences and marketing. Software platform offers advanced statistical analysis, a library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and deployment into applications.Versions that were produced by SPSS Inc. before the IBM acquisition (Versions 18 and earlier) would be given origin or publisher of SPSS Inc. in Chicago.
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