Surgical Site Infection in Surgery for Benign Prostatic Hyperplasia: Comparison of Two Skin Antiseptics and Risk Factors

2014 ◽  
Vol 15 (6) ◽  
pp. 763-767 ◽  
Author(s):  
Diego Abreu ◽  
Enrique Campos ◽  
Verónica Seija ◽  
Carlos Arroyo ◽  
Ruben Suarez ◽  
...  
2011 ◽  
Vol 31 (5) ◽  
pp. 521-523
Author(s):  
Qian XIE ◽  
Bin CAO ◽  
Yong-xiang WEI ◽  
Ning-yu WANG ◽  
Jin-feng LIU ◽  
...  

2019 ◽  
Vol 6 (1) ◽  
pp. e000233
Author(s):  
Jorge Espinel-Rupérez ◽  
Maria Dolores Martín-Ríos ◽  
Veronica Salazar ◽  
Maria Rosario Baquero-Artigao ◽  
Gustavo Ortiz-Díez

ObjectivesTo determine (1) the incidence of surgical site infection (SSI) in patients undergoing soft tissue surgery at a veterinary teaching hospital and to study (2) and describe the main risk factors associated with SSI and (3) assess the economic impact of SSI.DesignProspective cohort study.SettingVeterinary teaching hospital.Participants184 dogs undergoing soft tissue surgery during a 12-month period (October 2013 to September 2014).Primary outcome measureSurgical site infection.ResultsOut of the 184 patients analysed, SSI was diagnosed in 16 (8.7 per cent) patients, 13 (81.3 per cent) were classified as superficial incisional infection, 2 (12.5 per cent) as deep incisional infection and 1 (6.3 per cent) as organ/space infection. The administration of steroidal anti-inflammatory drugs (P=0.028), preoperative hyperglycaemia (P=0.015), surgical times longer than 60 minutes (P=0.013), urinary catheterisation (P=0.037) and wrong use of the Elizabethan collar (P=0.025) were identified as risk factors. Total costs increased 74.4 per cent, with an increase in postsurgical costs of 142.2 per cent.ConclusionsThe incidence of SSI was higher than the incidence reported in other published studies, although they were within expected ranges when a surveillance system was implemented. This incidence correlated with an increase in costs. Additionally new important risk factors for its development were detected.


JBJS Reviews ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e0163
Author(s):  
Hiroko Matsumoto ◽  
Matthew E. Simhon ◽  
Megan L. Campbell ◽  
Michael G. Vitale ◽  
Elaine L. Larson

2003 ◽  
Vol 36 (6) ◽  
pp. 759-765 ◽  
Author(s):  
Paul C. McGovern ◽  
Ebbing Lautenbach ◽  
Patrick J. Brennan ◽  
Robert A. Lustig ◽  
Neil O. Fishman

2016 ◽  
Vol 31 (1) ◽  
pp. 120-126 ◽  
Author(s):  
Manuel C. Vallejo ◽  
Ahmed F. Attaallah ◽  
Robert E. Shapiro ◽  
Osama M. Elzamzamy ◽  
Michael G. Mueller ◽  
...  

Medicine ◽  
2016 ◽  
Vol 95 (43) ◽  
pp. e5118 ◽  
Author(s):  
Hiroyuki Tominaga ◽  
Takao Setoguchi ◽  
Hideki Kawamura ◽  
Ichiro Kawamura ◽  
Satoshi Nagano ◽  
...  

2021 ◽  
Author(s):  
Euxu Xie ◽  
Xuelian Gu ◽  
Chen Ma ◽  
Li Guo ◽  
Man Li ◽  
...  

Abstract Objective To develop and validate a nomogram for predicting bladder calculi risk in patients with benign prostatic hyperplasia (BPH).Methods A total of 368 patients who underwent transurethral resection of the prostate (TURP) and had histologically proven BPH from January 2018 to January 2021 were retrospectively collected. Eligible patients were randomly assigned to the training and validation datasets. Least absolute shrinkage and selection operator (LASSO) regression was used to select the optimal risk factors. A prediction model was established based on the selected characteristics. The performance of the nomogram was assessed by calibration plots and the area under the receiver operating characteristic curve (AUROC). Furthermore, decision curve analysis (DCA) was used to determine the net benefit rate of of the nomogram. Results Among 368 patients who met the inclusion criteria, older age, a history of diabetes and hyperuricemia, longer intravesical prostatic protrusion (IPP)and larger prostatic urethral angulation (PUA) were independent risk factors for bladder calculi in patients with BPH. These factors were used to develop a nomogram, which had a good identification ability in predicting the risk of bladder calculi in patients, with AUROCs of 0.911 (95% CI: 0.876–0.945) in the training set and 0.884 (95% CI: 0.820–0.948) in the validation set. The calibration plot showed that the model had good calibration. Moreover, DCA indicated that the model had a goodclinical benefit. Conclusion We developed and internally validated the first nomogram to date to help physicians assess the risk of bladder calculi in patients with BPH, which may help physicians improve individual interventions and make better clinical decisions.


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