Compliance with preoperative care measures reduces surgical site infection after colorectal operation

2018 ◽  
Vol 119 (4) ◽  
pp. 497-502 ◽  
Author(s):  
Francisco A. Guzman-Pruneda ◽  
Syed G. Husain ◽  
Christian D. Jones ◽  
Eliza W. Beal ◽  
Erica Porter ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Preoperative Care ◽  
Site Infection ◽  
Colorectal Operation

Surgical Site Infections - A Hospital Havoc: Retrospective Study of Surgical Site Infections in Tertiary Health Care Centre in North East India

2018 ◽  
Vol 3 (01) ◽  
Author(s):  
V Singh ◽  
A B Khyriem, W V Lyngdoh ◽  
C J Lyngdoh
Keyword(s):  
Surgical Site Infection ◽  
Multiple Drug Resistance ◽  
Surgical Site Infections ◽  
Multidrug Resistant ◽  
Multiple Drug ◽  
Site Infection ◽  
Retrospective Case ◽  
Acinetobacter Baumanii ◽  
Health Care Centre ◽  
North East

Objectives - Surgical site infections (SSI) has turn out to be a major problem even in hospital with most modern facilities and standard protocols of pre -operative preparation and antibiotic prophylaxis. Objective of this study is to know the prevalence of surgical site infection among the postoperative patients and to identify the relationship between SSI and etiological pathogens along with their antimicrobial susceptibility at North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences (NEIGRIHMS), Shillong. Methods - A retrospective case study conducted at NEIGRIHMS, among patients admitted to the surgical departments during the period between January 1st and December 31st 2016. Swabs from the surgical sites were collected under sterile conditions and standard bacteriological tests were performed for identification and appropriate statistical methods were employed to look for association between SSI and etiological pathogens. Results - Out of the 1284 samples included in the study, 192 samples showed evidence of SSI yielding an infection rate of 14.9%. The most commonly isolated bacteria were: Escherichia coli, Acinetobacter baumanii and Staphylococcus aureus, of the gram negative isolates 6.2% were multidrug resistant of which 19% were carbapenem resistant. Conclusion - SSI with multiple drug resistance strains and polymicrobial etiology reflects therapeutic failure. The outcome of the SSI surveillance in our hospital revealed that in order to decrease the incidence of SSI we would have to: a) incorporate a proper antibiotic stewardship  b) conduct periodic surveillance to keep a check on SSI d) educate medical staffs regarding the prevention of surgical site infection.

USE OF AN ELECTRONIC DATA WAREHOUSE TO ENHANCE CARDIAC SURGICAL SITE SURVEILLANCE AT A LARGE CANADIAN CENTRE

2008 ◽  
Vol 31 (4) ◽  
pp. 21 ◽  
Author(s):  
G W Rose ◽  
V R Roth ◽  
K N Suh ◽  
M Taljaard ◽  
C Van Walraven ◽  
...  
Keyword(s):  
Infection Control ◽  
Surgical Site Infection ◽  
Data Warehouse ◽  
Stepwise Logistic Regression ◽  
Site Infection ◽  
Electronic Data ◽  
Trigger Mechanism ◽  
Trigger Tool ◽  
Infection Surveillance ◽  
Trigger Mechanisms

Background/Purpose: Surgical site infection surveillance to determineincidence is a key infection control activity. Case detection is labour-intensive, therefore most infection control programs use manual or simple electronic mechanisms to “trigger” chart review. However, such “trigger” mechanisms are also labour-intensive, and often of poor specificity. Our objective is to develop a complex trigger mechanism using data from an electronic data warehouse, to improve specificity of surveillance of surgical site infection compared to current trigger mechanisms. Methods: We will derive an electronic trigger tool for cardiac surgical site infection surveillance using a nested case-control design, among a cohort of all patients undergoing coronary artery bypass grafting, cardiac valve repairor replacement, or heart transplant at the University of Ottawa Heart Institute, from July 1 2004 to June 30 2007. We will perform a systematic literature review to identify potential trigger factors to include in the model, then construct the trigger tool by backwards stepwise logistic regression. The best-fit model will be used to calculate the probability of surgical site infection. We will select the threshold probability to use in surveillance by visual inspection of receiver-operator-characteristic curves. The accuracy of this electronic trigger mechanism will be compared to pre-existing manual and simple electronic mechanisms using relative true positive ratios and relative false positive ratios. Results/Conclusions: We have selected 200 cases of surgical site infection and 541 controls from among 3744 procedures performed during the study period. As of the date ofthis abstract we are still undertaking the systematic review.

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