A national multi-institutional analysis of predictors of surgical site complications and unplanned reoperation after paramedian forehead flap reconstruction.

Background: Although postoperative complications of paramedian forehead flap (PMFF) are generally low, surgical site complications and unplanned reoperation can still occur. Recent literature suggests infection to be the most common complication following PMFF reconstruction. This study sought to determine the patient and preoperative factors associated with surgical site complications and unplanned reoperations at a national level. Methods: Patients who underwent PMFF reconstruction from the ACS-NSQIP 2007 - 2019 database were analyzed to determine composite surgical site morbidity and unplanned return to the operating room. Patient and operative factors were also analyzed to assess independent risk factors for surgical site morbidity and unplanned reoperation in the first 30 postoperative days. Results: A total of 1,592 PMFF were analyzed between 2007 and 2019. Of these, 2.7% (43/1592) developed a composite surgical site complication in the first 30 postoperative days. Risk factors for composite surgical site complication included >10% weight loss in the previous 6 months (p<0.05), disseminated cancer (p<0.01), class 4 wounds (dirty/infected) (p<0.01), and operative time greater than 123 min (p<0.01). Based on the univariate analysis, low preoperative albumin and hematocrit were also associated with increased odds of composite surgical site complication. 2.5% (40/1592) of patients underwent unplanned reoperation. Higher ASA class (p<0.05) and class 4 wounds (p<0.05) were associated with unplanned return to the operating room. Conclusion: Significant weight loss, disseminated cancer, prolonged operation time, low preoperative albumin, and hematocrit are associated with higher PMFF composite surgical site complications. Higher ASA and class 4 wound status are associated with an increased risk of unplanned reoperation.

Critical Importance of the First Postoperative Days After Head and Neck Free Flap Reconstruction: An Analysis of Timing of Reoperation Using the National Surgical Quality Improvement Program Database.

BACKGROUND: Head and neck free flaps remain associated with considerable rates of take-back and prolonged hospital length of stay. However, there have been no studies on a national level benchmarking the timeline and predictors of head and neck free flap take-back. METHODS: Patients undergoing head and neck free flap reconstruction from the American College of Surgeons National Surgical Quality Improvement Program 2012-2019 database were analyzed to determine the rates of take-back. Timing and rates of unplanned head and neck free flap take-backs were stratified by tissue type and postoperative day (POD) over the first month. Weibull survival models were used to compare rates of take-backs among time intervals. Multivariable logistic regression was used to identify the independent predictors of take-back. RESULTS: Three thousand nine hundred six head and neck free flaps were analyzed. The mean daily proportion of patients experiencing take-back during PODs 0 to 1 was 0.95%; this dropped significantly to a mean daily proportion of 0.54% during POD 2 (P < 0.01). In addition, there were significant drops in take-back when comparing POD 2 (0.54%) to POD 3 (0.26%) and also when comparing POD 4 (0.20%) with PODs 5 to 30 (0.032% per day) (P < 0.05). The soft tissue and osseous flap populations demonstrated a similar trend in unplanned take-back. CONCLUSION: This is the first national study to specifically analyze the timing of take-back in the head and neck reconstruction population. These data highlight the importance of flap monitoring during the first 5 PODs, with ERAS pathway optimization aiming for discharge by the end of the first postoperative week.

Nationally Validated Scoring System to Predict Unplanned Reoperation and Readmission after Breast Reduction.

BACKGROUND: Reduction mammoplasty continues to be a commonly sought procedure with complication rates ranging from 4.3 to 8.2%. In the current study, we sought to identify the clinical and preoperative risk factors for unplanned reoperation and readmission within the first postoperative month on a national scale. METHODS: Patients who underwent reduction mammoplasty from the ACS-NSQIP 2012-2019 database were analyzed to determine rates of reoperation and readmission within 30 days of the initial breast surgery. The cohort was divided into 60 and 40% random testing and validation samples. A multivariable logistic regression analysis was then performed to isolate independent factors of unplanned readmission and reoperation using the testing sample (n = 22,743). The predictors were weighted according to beta coefficients to develop an integer-based clinical risk score predictive of complications. This system was then validated using receiver operating characteristics (ROC) analysis of the validation sample (n = 15,162). RESULTS: A total of 37,905 reduction mammoplasties were analyzed. 1.3% of patients had an unplanned readmission. Independent risk factors for unplanned readmission included age older than the median of 44 years (p < 0.01), inpatient procedure (p < 0.01), smoking (p < 0.01), hypertension (p = 0.01), COPD (p < 0.05), BMI ≥ 35 (p < 0.01), and operation time greater than the median of 142 minutes ( p < 0.01). The factors were integrated into a scoring system, ranging from 0 to 36, and an ROC analysis revealed an area under the curve of 0.66. 1.9% of patients underwent unplanned reoperation. Independent risk factors for unplanned reoperation in this population included age older than the median of 44 years (p < 0.01), inpatient status (p < 0.01), and a history of bleeding disorders (p < 0.05). The factors were integrated into a scoring system, ranging from 0 to 25, and the ROC analysis revealed an area under the curve of 0.61. CONCLUSIONS: We present a validated scoring system to better inform patients about their risk for unplanned reoperation and readmission following reduction mammoplasty. This system will enable surgeons to optimize patient selection and interventions in order to decrease morbidity and unnecessary health-care expenditure. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Optimizing Abdominoplasty Surgical Site Morbidity Profiling Through an Effective and Nationally Validated Risk Scoring System.

BACKGROUND: Abdominoplasty complication rates are among the highest for cosmetic surgery. We sought to create a validated scoring system to predict the likelihood of wound complications after abdominoplasty using a national multi-institutional database. METHODS: Patients who underwent abdominoplasty in the American College of Surgeons National Surgical Quality Improvement Program 2007-2019 database were analyzed for surgical site complications, a composite outcome of wound disruption, and surgical site infections. The cohort was randomly divided into a 60% testing and a 40% validation sample. Multivariable logistic regression analysis was performed to identify independent predictors of complications using the testing sample (n = 11,294). The predictors were weighted according to ß coefficients to develop an integer-based clinical risk score. This system was validated using receiver operating characteristic analysis of the validation sample (n = 7528). RESULTS: A total of 18,822 abdominoplasty procedures were identified. The proportion of patients who developed a composite surgical site complication was 6.8%. Independent risk factors for composite surgical site complication included inpatient procedure (P < 0.01), smoking (P < 0.01), American Society of Anesthesiologists class ≥3 (P < 0.01), and body mass index ≥25.0 and ≤18.0 kg/m2 (P < 0.01). African American race was a protective factor against surgical site complications (P < 0.01). The factors were integrated into a scoring system, ranging from -5 to 42, and the receiver operating characteristic analysis revealed an area under the curve of 0.71. CONCLUSIONS: We present a validated scoring system for postoperative 30-day surgical site morbidity after abdominoplasty. This system will enable surgeons to optimize patient selection to decrease morbidity and unnecessary healthcare expenditure.

Musashi-2 (MSI2) regulates epidermal growth factor receptor (EGFR) expression and response to EGFR inhibitors in EGFR-mutated non-small cell lung cancer (NSCLC).

Non-small cell lung cancer (NSCLC) has limited treatment options. Expression of the RNA-binding protein (RBP) Musashi-2 (MSI2) is elevated in a subset of non-small cell lung cancer (NSCLC) tumors upon progression, and drives NSCLC metastasis. We evaluated the mechanism of MSI2 action in NSCLC to gain therapeutically useful insights. Reverse phase protein array (RPPA) analysis of MSI2-depleted versus control KrasLA1/+; Trp53R172HΔG/+ NSCLC cell lines identified EGFR as a MSI2-regulated protein. MSI2 control of EGFR expression and activity in an NSCLC cell line panel was studied using RT-PCR, Western blots, and RNA immunoprecipitation. Functional consequences of MSI2 depletion were explored for cell growth and response to EGFR-targeting drugs, in vitro and in vivo. Expression relationships were validated using human tissue microarrays. MSI2 depletion significantly reduced EGFR protein expression, phosphorylation, or both. Comparison of protein and mRNA expression indicated a post-transcriptional activity of MSI2 in control of steady state levels of EGFR. RNA immunoprecipitation analysis demonstrated that MSI2 directly binds to EGFR mRNA, and sequence analysis predicted MSI2 binding sites in the murine and human EGFR mRNAs. MSI2 depletion selectively impaired cell proliferation in NSCLC cell lines with activating mutations of EGFR (EGFRmut). Further, depletion of MSI2 in combination with EGFR inhibitors such as erlotinib, afatinib, and osimertinib selectively reduced the growth of EGFRmut NSCLC cells and xenografts. EGFR and MSI2 were significantly co-expressed in EGFRmut human NSCLCs. These results define MSI2 as a direct regulator of EGFR protein expression, and suggest inhibition of MSI2 could be of clinical value in EGFRmut NSCLC.