Risk factors of surgical site infection in geriatric orthopedic surgery: A retrospective multicenter cohort study

2018 ◽  
Vol 19 (3) ◽  
pp. 213-217 ◽  
Author(s):  
Mingguang Ren ◽  
Weidong Liang ◽  
Zhiyu Wu ◽  
Hongmei Zhao ◽  
Jingwei Wang
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Surgical Site Infection ◽  
Orthopedic Surgery ◽  
Site Infection ◽  
Multicenter Cohort Study ◽  
Multicenter Cohort

scholarly journals A Nomogram Predicting Surgical Site Infection before Liver Resection, A Multicenter Cohort Study

HPB ◽  
2021 ◽  
Vol 23 ◽  
pp. S154-S155
Author(s):  
G.W. de Klein ◽  
M.J. Bruins ◽  
M.S.L. Liem ◽  
H. Eker ◽  
J.M. Klaase ◽  
...  
Keyword(s):  
Cohort Study ◽  
Liver Resection ◽  
Surgical Site Infection ◽  
Site Infection ◽  
Multicenter Cohort Study ◽  
Multicenter Cohort

scholarly journals Nomogram prediction of surgical site infection of HIV-infected patients following orthopedic surgery: a retrospective study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Rui Ma ◽  
Jie He ◽  
Biao Xu ◽  
Changsong Zhao ◽  
Yao Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Surgical Site Infection ◽  
Orthopedic Surgery ◽  
Operating Characteristic ◽  
Multiple Logistic Regression Analysis ◽  
Hiv Positive ◽  
Cutoff Score ◽  
Site Infection ◽  
Erythrocyte Sedimentation ◽  
Immunodeficiency Virus

Abstract Background Surgical site infection (SSI) is a devastating complication of orthopedic surgery, related with increased morbidity and mortality. This study was performed with the aim to compare the SSI rate in human immunodeficiency virus HIV-positive patients, to identify other risk factors for SSI and to establish a nomogram model to predict the risk of SSI. Methods A total of 101 HIV-positive individuals following orthopedic surgery patients admitted to Beijing Ditan Hospital. Their characteristics were gathered. The univariate and multiple logistic regression analysis were performed to explore the risk factors of SSI. And the Nomogram prediction model was constructed and verified. Results The independent predictive factors of SSI included CD4 (Odds ratio [OR], 0.041; P = 0.040), erythrocyte sedimentation rate (ESR) (OR, 89.773; P = 0.030), and procalcitonin (PCT) (OR, 220.746; P = 0.006). The scoring nomogram model was as follows: Logit (SSI) = − 2.63589–0.00314*CD4 < 430.75 = 1) + 0.04695*(ESR < 17.46 = 1) + 2.93694*(PCT < 0.22 = 1). The area under the Receiver Operating Characteristic (ROC) curve was 0.946. The cutoff score was − 2.1026 with a sensitivity of 93.33% and a specificity of 84.88%. Conclusions CD4, ESR, PCT might affect the occurrence of SSI after orthopedic surgery. The nomogram model constructed in this study is helpful for predicting the probability of SSI.

scholarly journals Surgical site infection after hip fracture – mortality and risk factors: an observational cohort study of 1,709 patients

2020 ◽  
Vol 91 (3) ◽  
pp. 347-352 ◽  
Author(s):  
Christian T Pollmann ◽  
Fredrik A Dahl ◽  
Jan Harald M Røtterud ◽  
Jan-Erik Gjertsen ◽  
Asbjørn Årøen
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Hip Fracture ◽  
Surgical Site Infection ◽  
Observational Cohort Study ◽  
Site Infection ◽  
Observational Cohort ◽  
Hip Fracture Mortality
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