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dc.contributor.authorDube, Mukul
dc.date.accessioned2022-01-07T11:12:46Z
dc.date.available2022-01-07T11:12:46Z
dc.identifier.citationDube, M. et al. (2021) ‘A prospective evaluation of the American College of Surgeons Surgical Risk Calculator as a predictor of complications for breast surgery’, Annals of the Royal College of Surgeons of Englanden_US
dc.identifier.urihttp://hdl.handle.net/20.500.12904/15063
dc.description.abstractBackground: The infection rates for operative management of breast cancer are often unpredictable and higher than average for a clean surgical procedure (0.8% and 28%). We aimed to assess the effectiveness of the American College of Surgeons (ACS) Surgical Risk Calculator (SRC), a preoperative scoring system to calculate the risk of surgical site infection (SSI) and serious complications following breast surgery. Methods: Prospective risk scoring using the SRC on 213 patients in the preoperative clinic and the incidence of SSI and serious complications within 30 days postoperatively was prospectively collected. Results: The overall SSI rate in our sample was 5% (n=11/210 patients). For a one-unit increase in SRC score, the odds of having SSI increased by a factor of 1.88 (95% CI 1.33 to 2.74). Odds of developing SSI were higher in patients with high Body Mass Index (OR 1.25; 95% 1.13 to 1.40) and American Society of Anesthesiologists score 3 (OR 11.54; 95% CI 2.98 to 43.65). The odds of developing an SSI were ∼19 times higher if a patient had an SRC score >3.0 versus those with an SRC score <3.0. Only 3% (n=4) of patients who had an SRC score of <3.0 experienced SSI, compared with 33% (n=7) for those with a risk score of >3.0. Out of 210 patients, 9 had serious complications (4.2%). Conclusions: ACS SRC Score of more than 3 was associated with a higher likelihood of SSI. SRC was able to predict the risk of SSI and serious complications and can be used preoperatively for identification and risk minimisation.
dc.description.urihttps://publishing.rcseng.ac.uk/doi/pdf/10.1308/rcsann.2021.0152en_US
dc.publisherAnnals of the Royal College of Surgeons of Englanden_US
dc.subjectBreast canceren_US
dc.subjectComplicationsen_US
dc.subjectSurgical site infectionen_US
dc.subjectWound infectionen_US
dc.titleA prospective evaluation of the American College of Surgeons Surgical Risk Calculator as a predictor of complications for breast surgeryen_US
dc.typeArticleen_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.versionNAen_US
rioxxterms.versionofrecord10.1308/rcsann.2021.0152en_US
rioxxterms.typeJournal Article/Reviewen_US
refterms.panelUnspecifieden_US
refterms.dateFirstOnline2021-12
html.description.abstractBackground: The infection rates for operative management of breast cancer are often unpredictable and higher than average for a clean surgical procedure (0.8% and 28%). We aimed to assess the effectiveness of the American College of Surgeons (ACS) Surgical Risk Calculator (SRC), a preoperative scoring system to calculate the risk of surgical site infection (SSI) and serious complications following breast surgery. Methods: Prospective risk scoring using the SRC on 213 patients in the preoperative clinic and the incidence of SSI and serious complications within 30 days postoperatively was prospectively collected. Results: The overall SSI rate in our sample was 5% (n=11/210 patients). For a one-unit increase in SRC score, the odds of having SSI increased by a factor of 1.88 (95% CI 1.33 to 2.74). Odds of developing SSI were higher in patients with high Body Mass Index (OR 1.25; 95% 1.13 to 1.40) and American Society of Anesthesiologists score 3 (OR 11.54; 95% CI 2.98 to 43.65). The odds of developing an SSI were ∼19 times higher if a patient had an SRC score >3.0 versus those with an SRC score <3.0. Only 3% (n=4) of patients who had an SRC score of <3.0 experienced SSI, compared with 33% (n=7) for those with a risk score of >3.0. Out of 210 patients, 9 had serious complications (4.2%). Conclusions: ACS SRC Score of more than 3 was associated with a higher likelihood of SSI. SRC was able to predict the risk of SSI and serious complications and can be used preoperatively for identification and risk minimisation.en_US
rioxxterms.funder.project94a427429a5bcfef7dd04c33360d80cden_US


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