Dataset Information

Prospective Evaluation of Complications and Associated Risk Factors in Breast Cancer Surgery.

ABSTRACT:

Background

Surgical site infection (SSI) is a well-known complication after breast cancer surgery. The primary aim was to assess risk factors for SSI. Risk factors for other wound complications were also studied.

Materials and methods

In this prospectively registered cohort study, patients who underwent breast-conserving surgery (BCS) or mastectomy between May 2017 and May 2019 were included. Data included patient and treatment characteristics, infection, and wound complication rates. Risk factors for SSI and wound complications were analyzed with simple and multiple logistic regression.

Results

The study cohort consisted of 592 patients who underwent 707 procedures. There were 66 (9.3%) SSI and 95 (13.4%) wound complications. "BMI > 25," "oncoplastic BCS," "reoperation within 24 hour," and "prolonged operative time" were risk factors for SSI with simple analysis. BMI 25-30 and >30 remained as significant risk factors for SSI with adjusted analysis. Risk factors for "any wound complication" with adjusted analysis were "mastectomy with/without reconstruction" in addition to "BMI 25-30" and "BMI > 30."

Conclusion

The only significant risk factor for SSI on multivariable analysis were BMI 25-30 and BMI > 30. Significant risk factors for "any wound complication" on multivariable analysis were "mastectomy with/without reconstruction" as well as "BMI 25-30" and "BMI > 30".

SUBMITTER: Adwall L

PROVIDER: S-EPMC9783023 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Prospective Evaluation of Complications and Associated Risk Factors in Breast Cancer Surgery.

Adwall Linda L Hultin Hella H Mani Maria M Norlén Olov O

Journal of oncology 20220917

<h4>Background</h4>Surgical site infection (SSI) is a well-known complication after breast cancer surgery. The primary aim was to assess risk factors for SSI. Risk factors for other wound complications were also studied.<h4>Materials and methods</h4>In this prospectively registered cohort study, patients who underwent breast-conserving surgery (BCS) or mastectomy between May 2017 and May 2019 were included. Data included patient and treatment characteristics, infection, and wound complication ra ...[more]

PMID: 36568639

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Project description:BackgroundPrognostic tools, such as risk calculators, improve the patient-physician informed decision-making process. These tools are limited for breast cancer patients when assessing surgical complication risk preoperatively.ObjectiveIn this study, we aimed to assess predictors associated with acute postoperative complications for breast cancer patients and then develop a predictive model that calculates a complication probability using patient risk factors.MethodsWe performed a retrospective cohort study using the National Surgical Quality Improvement Program (NSQIP) database from 2005 to 2017. Women diagnosed with ductal carcinoma in situ or invasive breast cancer who underwent either breast conservation or mastectomy procedures were included in this predictive modeling scheme. Four models were built using logistic regression methods to predict the following composite outcomes: overall, infectious, hematologic, and internal organ complications. Model performance, accuracy and calibration measures during internal/external validation included area under the curve, Brier score, and Hosmer-Lemeshow statistic, respectively.ResultsA total of 163,613 women met the inclusion criteria. The area under the curve for each model was as follows: overall, 0.70; infectious, 0.67; hematologic, 0.84; and internal organ, 0.74. Brier scores were all between 0.04 and 0.003. Model calibration using the Hosmer-Lemeshow statistic found all p-values to be > 0.05. Using model coefficients, individualized risk can be calculated on the web-based Breast Cancer Surgery Risk Calculator (BCSRc) platform ( www.breastcalc.org ).ConclusionWe developed an internally and externally validated risk calculator that estimates a breast cancer patient's unique risk of acute complications following each surgical intervention. Preoperative use of the BCSRc can potentially help stratify patients with an increased complication risk and improve expectations during the decision-making process.

Dataset Information

Prospective Evaluation of Complications and Associated Risk Factors in Breast Cancer Surgery.

Background

Materials and methods

Results

Conclusion

Publications

Prospective Evaluation of Complications and Associated Risk Factors in Breast Cancer Surgery.

Similar Datasets

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