Sustained Reduction in Surgical Site Infection after Abdominal Hysterectomy

2013 ◽  
Vol 14 (5) ◽  
pp. 460-463 ◽  
Author(s):  
Heather Young ◽  
Bryan Knepper ◽  
Cathy Vigil ◽  
Amber Miller ◽  
J. Chris Carey ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Abdominal Hysterectomy ◽  
Site Infection ◽  
Sustained Reduction

Impact of preoperative anxiolytic on surgical site infection in patients undergoing abdominal hysterectomy

2008 ◽  
Vol 36 (10) ◽  
pp. 718-726 ◽  
Author(s):  
Rosa Levandovski ◽  
Maria Beatriz Cardoso Ferreira ◽  
Maria Paz Loayza Hidalgo ◽  
Cássio Alves Konrath ◽  
Daniel Lemons da Silva ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Abdominal Hysterectomy ◽  
Site Infection

scholarly journals Developing a Risk Stratification Model for Surgical Site Infection after Abdominal Hysterectomy

2009 ◽  
Vol 30 (11) ◽  
pp. 1077-1083 ◽  
Author(s):  
Margaret A. Olsen ◽  
James Higham-Kessler ◽  
Deborah S. Yokoe ◽  
Anne M. Butler ◽  
Johanna Vostok ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Insurance ◽  
Blood Transfusion ◽  
Risk Stratification ◽  
Surgical Site Infection ◽  
Private Health Insurance ◽  
Abdominal Hysterectomy ◽  
Site Infection ◽  
Independent Risk Factors ◽  
Duration Of Operation

Objective.The incidence of surgical site infection (SSI) after hysterectomy ranges widely from 2% to 21%. A specific risk stratification index could help to predict more accurately the risk of incisional SSI following abdominal hysterectomy and would help determine the reasons for the wide range of reported SSI rates in individual studies. To increase our understanding of the risk factors needed to build a specific risk stratification index, we performed a retrospective multihospital analysis of risk factors for SSI after abdominal hysterectomy.Methods.Retrospective case-control study of 545 abdominal and 275 vaginal hysterectomies from July 1, 2003, to June 30, 2005, at 4 institutions. SSIs were defined by using Centers for Disease Control and Prevention/National Nosocomial Infections Surveillance criteria. Independent risk factors for abdominal hysterectomy were identified by using logistic regression.Results.There were 13 deep incisional, 53 superficial incisional, and 18 organ-space SSIs after abdominal hysterectomy and 14 organ-space SSIs after vaginal hysterectomy. Because risk factors for organ-space SSI were different according to univariate analysis, we focused further analyses on incisional SSI after abdominal hysterectomy. The maximum serum glucose level within 5 days after operation was highest in patients with deep incisional SSI, lower in patients with superficial incisional SSI, and lowest in uninfected patients (median, 189, 156, and 141 mg/dL, respectively; P = .005). Independent risk factors for incisional SSI included blood transfusion (odds ratio [OR], 2.4) and morbid obesity (body mass index [BMI], >35; OR, 5.7). Duration of operation greater than the 75th percentile (OR, 1.7), obesity (BMI, 30–35; OR, 3.0), and lack of private health insurance (OR, 1.7) were marginally associated with increased odds of SSI.Conclusions.Incisional SSI after abdominal hysterectomy was associated with increased BMI and blood transfusion. Longer duration of operation and lack of private health insurance were marginally associated with SSI.

scholarly journals 907Validation of Surgical Site Infection Data in California Hospitals Demonstrates Variable Case Identification Following Abdominal Hysterectomy

2014 ◽  
Vol 1 (suppl_1) ◽  
pp. S261-S262
Author(s):  
Michael S. Calderwood ◽  
Susan S. Huang ◽  
Vicki Keller ◽  
Christina B. Bruce ◽  
N. Neely Kazerouni ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Abdominal Hysterectomy ◽  
Site Infection ◽  
Case Identification

Abdominal Hysterectomy: Reduced Risk of Surgical Site Infection Associated with Robotic and Laparoscopic Technique

2015 ◽  
Vol 16 (5) ◽  
pp. 498-503 ◽  
Author(s):  
Kristin P. Colling ◽  
James K. Glover ◽  
Catherine A. Statz ◽  
Melissa A. Geller ◽  
Greg J. Beilman
Keyword(s):  
Surgical Site Infection ◽  
Abdominal Hysterectomy ◽  
Laparoscopic Technique ◽  
Site Infection ◽  
Reduced Risk

scholarly journals Pattern Recognition Algorithms for Predicting Surgical Site Infection in Abdominal Hysterectomy

2020 ◽  
Vol 41 (S1) ◽  
pp. s344-s345
Author(s):  
Flávio Souza ◽  
Braulio Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Data Collection ◽  
Infection Control ◽  
Surgical Site Infection ◽  
Abdominal Hysterectomy ◽  
Hospital Infection ◽  
Site Infection ◽  
Recognition Algorithms ◽  
Hospital Infection Control ◽  
Belo Horizonte

Background: This research represents an experiment based in surgical site infection (SSI) to patients undergoing abdominal hysterectomy surgery procedures in hospitals in Belo Horizonte, (population, 3 million). We statistically evaluated such incidences and studied the SSI prediction power of pattern recognition algorithms, the artificial neural networks based in multilayer perceptron (MLP). Methods: Between July 2016 and June 2018, data on SSI were collected by the hospital infection control committees (CCIH) of the 3 hospitals involved in the research. They collected all data used in the analysis during their routine SSI surveillance procedures. The information was forwarded to the NOIS (Nosocomial Infection Study) Project, which used SACIH (ie, automated hospital infection control system software) to collect data from a sample of hospitals participating voluntarily in the project. After data collection, 3 procedures were performed for SSI prediction: (1) a treatment of the database collected for the use of intact samples; (2) a statistical analysis on the profile of the hospitals collected; and (3) an assessment of the predictive power of 5 types of MLP (ie, backpropagation standard, momentum, resilient propagation, weight decay, and quick propagation). MLPs were tested with 3, 5, 7, and 10 hidden-layer neurons and a database split for the resampling process (65% or 75% for testing, 35% or 25% for validation). They were compared by measuring area under the curve (AUC; range, 0–1) presented for each of the configurations. Results: From 1,166 records collected, only 665 records were enabled for analysis. Regarding statistical data: the average duration of surgery was 100 minutes (range, 31–180); patients were aged 41–49 years; the SSI rate was low (only 10 cases); the average length of stay was 2 days; and there were no deaths among the cases. Moreover, 29% of the operative sites were contaminated and 57% were potentially contaminated, revealing a high rate of potential contamination in the operative sites. The prediction process achieved 0.995. Conclusions: Despite the noise in the database, it was possible to obtain a relevant sampling to evaluate the profile of hospitals in Belo Horizonte. In addition, for the predictive process, although some settings achieved AUC results of 0.5, others achieved and AUC of 0.995, indicating the promise of the automated SSI monitoring framework for abdominal hysterectomy surgery (available in www.sacihweb.com). To optimize data collection and to enable other hospitals to use the SSI prediction tool, a mobile application was developed.Funding: NoneDisclosures: None

Reduction in abdominal hysterectomy surgical site infection rates after the addition of anaerobic antimicrobial prophylaxis

2020 ◽  
Vol 41 (12) ◽  
pp. 1469-1471
Author(s):  
Takaaki Kobayashi ◽  
Kyle E. Jenn ◽  
Noelle Bowdler ◽  
Rita Malloy ◽  
Stephanie Holley ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Antimicrobial Prophylaxis ◽  
Abdominal Hysterectomy ◽  
Site Infection ◽  
Infection Rates
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