Yan, María

We present clinical and imaging predictors of ocular injuries that required medical management versus surgical intervention in cases of orbital fractures. From 2014 to 2020, a retrospective review of patients with orbital fractures who received ophthalmologic consultation and computed scan (CT) analysis at a level I trauma center was performed. Inclusion criteria were patients with confirmed orbital fracture on CT and ophthalmology consultation. Patient demographics, associated injuries, comorbidities, management, and outcomes were collected. Two hundred and one patients and 224 eyes (11.4% bilateral orbital fractures) were included. Overall, 21.9% of orbital fractures presented with a significant concomitant ocular injury. Associated facial fractures were present in 68.8% of eyes. Management included surgical treatment in 33.5% of eyes and ophthalmology-directed medical treatment in 17.4%. On multivariate analysis, clinical predictors of surgical intervention were retinal hemorrhage (OR=4.7 (1.0–21.0), P=0.0437), motor vehicle accident injury (OR=2.7 (1.4–5.1), P=0.0030) and diplopia (OR=2.8 (1.5–5.3), P=0.0011). Imaging predictors of surgical intervention were herniation of orbital contents (OR=2.1 (1.1–4.0), P=0.0281) and multiple wall fractures (OR=1.9 (1.01–3.6), P=0.0450). Predictors of medical management were corneal abrasion (OR=7.7 (1.9–31.4), P=0.0041), periorbital laceration (OR=5.7 (2.1–15.6), P=0.0006), and traumatic iritis (OR=4.7 (1.1–20.3), P=0.0444). We demonstrated a 22% incidence of concomitant ocular trauma in orbital fracture patients at our level I trauma center. Predictors of the surgical intervention included multiple wall fractures, herniation of orbital contents, retinal hemorrhage, diplopia, and motor vehicle accident injury. These findings emphasize the importance of a multidisciplinary team in managing ocular and facial trauma.

Background: Early soft-tissue reconstruction of open fractures has been shown to decrease infection rates and improve rates of bony union. The purpose of this study was to compare the rates and time to union of open tibia fractures that underwent soft-tissue coverage. Methods: A retrospective chart review of 118 patients with open tibia fractures requiring soft-tissue reconstruction treated at a single level 1 trauma center was performed. Demographic data as well as flap type were collected. Union status was determined using modified Radiographic Union Scale in Tibia Fractures score greater than 11. Results: Limb salvage was achieved in 90% of patients. The overall rate of nonunion was 33%. Flap type significantly affected time to union, with local fasciocutaneous and keystone flaps having significantly longer time to union [202 days (SD 120.3)] than all other flap groups (P = 0.01). Free flaps had significantly shorter time to union than local flaps [115 days (SD 49.6) versus 149 days (SD 75.4); P = 0.02]. Muscle flaps had significantly shorter time to union than fasciocutaneous flaps [123 days (SD 52.4) versus 165 days (SD 104.1); P = 0.04]. This remained true after controlling for fracture location, patient age, need for second flap, and fixation method (P = 0.037). Patients who underwent an initial soft-tissue reconstruction with a local muscle flap were more likely to require a second flap to achieve wound closure (OR, 3.7; P = 0.008) and needing a second flap significantly increased time to union [162 days (SD 95.9) versus 122 days (SD 51.9); P = 0.03]. Conclusion: Flap type affects time to union but not nonunion rate in open tibia fractures. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, III.

Background: Many insurance companies in the United States rely on the Schnur sliding scale to predict resection weights to determine medical necessity for breast reduction surgery. Accurate methods to predict resection weights are needed to avoid insurance denials. The authors compared the accuracy of formulas such as the Schnur, Appel, Descamps, and Galveston scales in predicting resection weights, and assessed whether they influence insurance coverage decision. Methods: A retrospective review of bilateral reduction mammaplasty procedures from June of 2017 to June of 2019 was performed at the Mayo Clinic, Rochester. Oncoplastic reduction operations were excluded. The accuracy of each formula-based estimate was evaluated with linear regression analysis. Results: One hundred fifty-four patients (308 breasts) were reviewed. The Schnur scale had low correlation with actual resection weight (r 2 = 0.381; b1 = 1.153; p < 0.001). The Appel scale was the most accurate (r 2 = 0.642; b1 = 1.01; p < 0.001), followed by the Descamps (r 2 = 0.572, b1 = 0.934, p < 0.001) and Galveston (r 2 = 0.672; b1 = 0.654; p < 0.001) scales. The Appel, Descamps, and Galveston scales were more accurate for resection weights of 500 g or greater, body mass index greater than 30 kg/m², and patients younger than 50 years. For resection weights of 500 g or greater, the median difference between the estimated and actual resection weight for the Schnur, Appel, Descamps, and Galveston scales was −211.4 ± 272.3, −17.5 ± 272.3, −9.6 ± 229.5, and −99.2 ± 238.5 g, respectively. No scale was accurate for resection weights less than 500 g. Insurance reimbursement was denied in 15.56 percent of patients; of these, 23 percent had resection weights less than 500 g. The Schnur scale overestimated the resection weights in 28.9 percent of patients. Conclusions: The Schnur scale is a poor predictor of breast resection weight. The Appel scale is the most accurate estimator, especially in the young and obese population with larger resections. CLINICAL QUESTION/LEVEL OF EVIDENCE: Diagnostic, I.

Abstract Background Postmastectomy breast reconstruction (PMR) increases patient satisfaction, quality of life, and psychosocial well-being. There is scarce data regarding the safety of PMR in chronic anticoagulated patients. Perioperative complications can reduce patient satisfaction; therefore, it is important to elucidate the safety of PMR in these patients. Methods A retrospective case–control study of patients who underwent PMR with implants and were on chronic anticoagulation was performed at our institution. Inclusion criteria were women ≥ 18 years old. Exclusion criteria included autologous reconstructions, lumpectomy, and oncoplastic procedures. Two controls for every one patient on anticoagulation were matched by age, body mass index, radiotherapy, smoking history, type of reconstruction, time of reconstruction, and laterality. Results From 2009 to 2020, 37 breasts (20 patients) underwent PMR with implant-based reconstruction and were on chronic anticoagulation. A total of 74 breasts (40 patients) who had similar demographic characteristics to the cases were defined as the control group. Mean age for the case group was 53.6 years (standard deviation [SD] = 16.1), mean body mass index was 28.6 kg/m2 (SD = 5.1), and 2.7% of breasts had radiotherapy before reconstruction and 5.4% after reconstruction. Nine patients were on long-term warfarin, six on apixaban, three on rivaroxaban, one on low-molecular-weight heparin, and one on dabigatran. The indications for anticoagulation were prior thromboembolic events in 50%. Anticoagulated patients had a higher risk of capsular contracture (10.8% vs. 0%, p = 0.005). There were no differences regarding incidence of hematoma (2.7% vs. 1.4%, p = 0.63), thromboembolism (5% vs. 0%, p = 0.16), reconstructive-related complications, or length of hospitalization (1.6 days [SD = 24.2] vs. 1.4 days [SD = 24.2], p = 0.85). Conclusion Postmastectomy implant-based breast reconstruction can be safely performed in patients on chronic anticoagulation with appropriate perioperative management of anticoagulation. This information can be useful for preoperative counseling on these patients.

Background: Since its first description in 2012, the Goldilocks procedure has become an option for immediate breast reconstruction, particularly for obese patients who are poor candidates for traditional implant or autologous reconstruction. In this work, the authors performed a longitudinal study of patients who underwent mastectomy with Goldilocks reconstruction to assess the incidence of additional surgical procedures, and to assess surgical outcomes and patient satisfaction. Methods: A retrospective review of patients who underwent mastectomy with the Goldilocks procedure only at Mayo Clinic Rochester between January of 2012 and September of 2019 was performed. Demographics, complications, additional breast procedures performed to attain the final results, and patient-reported outcomes using the BREAST-Q were recorded. Univariate and multivariable analyses were performed to identify statistical associations and risk factors. Results: Sixty-three patients (108 breasts) were included. Mean age was 57.8 years. Mean body mass index was 37.6 kg/m2. Median follow-up time after the mastectomy with the Goldilocks procedure was 15 months. The major complication rate within the first 30 days was 9.3 percent. Forty-four breasts (40.7 percent) underwent additional surgery. Dyslipidemia was significantly associated with an increased risk of additional surgery (adjusted hazard ratio, 2.00; p = 0.045). Scores in the four BREAST-Q domains were not statistically different between patients who had additional procedures and those who did not. Conclusions: Based on the results, the authors recommend a thorough preoperative discussion with patients who are candidates for the Goldilocks procedure to explore all options for reconstruction and their expectations, because it is crucial to reduce the necessity for additional operations in this high-risk population. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.