The Baltodano Breast Reduction Score: A Nationwide, Multi-Institutional, Validated Approach to Reducing Surgical-Site Morbidity

Breast reduction remains associated with significantly higher rates of overall morbidity, superficial surgical-site infections, and wound disruptions. The authors developed a validated risk model to identify patients at higher risk for postoperative surgical-site morbidity after breast reduction. A...

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Veröffentlicht in:Plastic and reconstructive surgery (1963) 2017-08, Vol.140 (2), p.258e-264e
Hauptverfasser: Baltodano, Pablo A., Reinhardt, Myrna Eliann, Ata, Ashar, Simjee, Usamah F., Roth, Malcolm Z., Patel, Ashit
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container_end_page 264e
container_issue 2
container_start_page 258e
container_title Plastic and reconstructive surgery (1963)
container_volume 140
creator Baltodano, Pablo A.
Reinhardt, Myrna Eliann
Ata, Ashar
Simjee, Usamah F.
Roth, Malcolm Z.
Patel, Ashit
description Breast reduction remains associated with significantly higher rates of overall morbidity, superficial surgical-site infections, and wound disruptions. The authors developed a validated risk model to identify patients at higher risk for postoperative surgical-site morbidity after breast reduction. A retrospective review was performed of all women undergoing breast reduction from the American College of Surgeons National Surgical Quality Improvement Program 2005 to 2012 data. Surgical-site morbidity included surgical-site infection and wound disruption events. Stepwise multivariable logistic regression identified risk factors associated with surgical-site morbidity. The model was validated using bootstrap replications (n = 100) and the Hosmer-Lemeshow test, and converted into the Baltodano breast reduction score, a clinical risk tool predictive of surgical-site morbidity. The authors identified 7068 breast reductions. Rate of 30-day surgical-site morbidity was 3.98 percent. Independent risk factors included resident participation (OR, 1.5; 95 percent CI, 1.1 to 2.0; p = 0.004), body mass index (for every 5-unit increase: OR, 1.3; 95 percent CI, 1.1 to 1.4; p < 0.001), smoking (OR, 1.6; 95 percent CI, 1.1 to 2.4; p = 0.014), steroid use (OR, 3.5; 95 percent CI, 1.4 to 8.4; p = 0.006), and operation in the third quarter of the year (OR, 1.5; 95 percent CI, 1.1 to 1.9; p = 0.014). The factors were integrated into the Baltodano score, ranging from 0 to 16. The predicted probability of surgical-site morbidity associated with each risk score was estimated. Predicted and observed risks of surgical-site morbidity were highly comparable. The authors present the Baltodano breast reduction score, a validated risk-stratification tool for predicting 30-day surgical-site morbidity following breast reduction using data that are readily available to the clinician. This may allow targeted screening and intervention in high-risk patients, better counseling, selective resident participation, and ultimately a decrease in overall health care costs. Risk, III.
doi_str_mv 10.1097/PRS.0000000000003506
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The authors developed a validated risk model to identify patients at higher risk for postoperative surgical-site morbidity after breast reduction. A retrospective review was performed of all women undergoing breast reduction from the American College of Surgeons National Surgical Quality Improvement Program 2005 to 2012 data. Surgical-site morbidity included surgical-site infection and wound disruption events. Stepwise multivariable logistic regression identified risk factors associated with surgical-site morbidity. The model was validated using bootstrap replications (n = 100) and the Hosmer-Lemeshow test, and converted into the Baltodano breast reduction score, a clinical risk tool predictive of surgical-site morbidity. The authors identified 7068 breast reductions. Rate of 30-day surgical-site morbidity was 3.98 percent. Independent risk factors included resident participation (OR, 1.5; 95 percent CI, 1.1 to 2.0; p = 0.004), body mass index (for every 5-unit increase: OR, 1.3; 95 percent CI, 1.1 to 1.4; p &lt; 0.001), smoking (OR, 1.6; 95 percent CI, 1.1 to 2.4; p = 0.014), steroid use (OR, 3.5; 95 percent CI, 1.4 to 8.4; p = 0.006), and operation in the third quarter of the year (OR, 1.5; 95 percent CI, 1.1 to 1.9; p = 0.014). The factors were integrated into the Baltodano score, ranging from 0 to 16. The predicted probability of surgical-site morbidity associated with each risk score was estimated. Predicted and observed risks of surgical-site morbidity were highly comparable. The authors present the Baltodano breast reduction score, a validated risk-stratification tool for predicting 30-day surgical-site morbidity following breast reduction using data that are readily available to the clinician. 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The authors developed a validated risk model to identify patients at higher risk for postoperative surgical-site morbidity after breast reduction. A retrospective review was performed of all women undergoing breast reduction from the American College of Surgeons National Surgical Quality Improvement Program 2005 to 2012 data. Surgical-site morbidity included surgical-site infection and wound disruption events. Stepwise multivariable logistic regression identified risk factors associated with surgical-site morbidity. The model was validated using bootstrap replications (n = 100) and the Hosmer-Lemeshow test, and converted into the Baltodano breast reduction score, a clinical risk tool predictive of surgical-site morbidity. The authors identified 7068 breast reductions. Rate of 30-day surgical-site morbidity was 3.98 percent. Independent risk factors included resident participation (OR, 1.5; 95 percent CI, 1.1 to 2.0; p = 0.004), body mass index (for every 5-unit increase: OR, 1.3; 95 percent CI, 1.1 to 1.4; p &lt; 0.001), smoking (OR, 1.6; 95 percent CI, 1.1 to 2.4; p = 0.014), steroid use (OR, 3.5; 95 percent CI, 1.4 to 8.4; p = 0.006), and operation in the third quarter of the year (OR, 1.5; 95 percent CI, 1.1 to 1.9; p = 0.014). The factors were integrated into the Baltodano score, ranging from 0 to 16. The predicted probability of surgical-site morbidity associated with each risk score was estimated. Predicted and observed risks of surgical-site morbidity were highly comparable. The authors present the Baltodano breast reduction score, a validated risk-stratification tool for predicting 30-day surgical-site morbidity following breast reduction using data that are readily available to the clinician. This may allow targeted screening and intervention in high-risk patients, better counseling, selective resident participation, and ultimately a decrease in overall health care costs. 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The authors developed a validated risk model to identify patients at higher risk for postoperative surgical-site morbidity after breast reduction. A retrospective review was performed of all women undergoing breast reduction from the American College of Surgeons National Surgical Quality Improvement Program 2005 to 2012 data. Surgical-site morbidity included surgical-site infection and wound disruption events. Stepwise multivariable logistic regression identified risk factors associated with surgical-site morbidity. The model was validated using bootstrap replications (n = 100) and the Hosmer-Lemeshow test, and converted into the Baltodano breast reduction score, a clinical risk tool predictive of surgical-site morbidity. The authors identified 7068 breast reductions. Rate of 30-day surgical-site morbidity was 3.98 percent. Independent risk factors included resident participation (OR, 1.5; 95 percent CI, 1.1 to 2.0; p = 0.004), body mass index (for every 5-unit increase: OR, 1.3; 95 percent CI, 1.1 to 1.4; p &lt; 0.001), smoking (OR, 1.6; 95 percent CI, 1.1 to 2.4; p = 0.014), steroid use (OR, 3.5; 95 percent CI, 1.4 to 8.4; p = 0.006), and operation in the third quarter of the year (OR, 1.5; 95 percent CI, 1.1 to 1.9; p = 0.014). The factors were integrated into the Baltodano score, ranging from 0 to 16. The predicted probability of surgical-site morbidity associated with each risk score was estimated. Predicted and observed risks of surgical-site morbidity were highly comparable. The authors present the Baltodano breast reduction score, a validated risk-stratification tool for predicting 30-day surgical-site morbidity following breast reduction using data that are readily available to the clinician. This may allow targeted screening and intervention in high-risk patients, better counseling, selective resident participation, and ultimately a decrease in overall health care costs. Risk, III.</abstract><cop>United States</cop><pub>by the American Society of Plastic Surgeons</pub><pmid>28746267</pmid><doi>10.1097/PRS.0000000000003506</doi></addata></record>
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subjects Adolescent
Adult
Aged
Aged, 80 and over
Female
Humans
Mammaplasty - methods
Middle Aged
Morbidity
Retrospective Studies
Risk Factors
Surgical Wound - complications
Surgical Wound - epidemiology
Surgical Wound - prevention & control
Surgical Wound Infection - epidemiology
Surgical Wound Infection - prevention & control
Young Adult
title The Baltodano Breast Reduction Score: A Nationwide, Multi-Institutional, Validated Approach to Reducing Surgical-Site Morbidity
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