Use of topic modeling to assess research trends in the journal Gynecologic Oncology.

STUDY OBJECTIVE: There is scant research identifying thematic trends within medical research. This work may provide insight into how a given field values certain topics. We assessed the feasibility of using a machine learning approach to determine the most common research themes published in Gynecologic Oncology over a thirty-year period and to subsequently evaluate how interest in these topics changed over time. METHODS: We retrieved the abstracts of all original research published in Gynecologic Oncology from 1990 to 2020 using PubMed. Abstract text was processed through a natural language processing algorithm and clustered into topical themes using latent Dirichlet allocation (LDA) prior to manual labeling. Topics were investigated for temporal trends. RESULTS: We retrieved 12,586 original research articles, of which 11,217 were evaluable for subsequent analysis. Twenty-three research topics were selected at the completion of topic modeling. The topics of basic science genetics, epidemiologic methods, and chemotherapy experienced the greatest increase over the time period, while postoperative outcomes, reproductive age cancer management, and cervical dysplasia experienced the greatest decline. Interest in basic science research remained relatively constant. Topics were additionally reviewed for words indicative of either surgical or medical therapy. Both surgical and medical topics saw increasing interest, with surgical topics experiencing a greater increase and representing a higher proportion of published topics. CONCLUSIONS: Topic modeling, a type of unsupervised machine learning, was successfully used to identify trends in research themes. The application of this technique provided insight into how the field of gynecologic oncology values the components of its scope of practice and therefore how it may choose to allocate grant funding, disseminate research, and participate in the public discourse.

Adult Cleft Patients: An Exploration of Functional Needs and Treatment Barriers.

BACKGROUND: Management of cleft lip and palate has been well characterized in pediatric patients, but limited data exist regarding the long-term functional outcomes of cleft patients once they reach adulthood. MATERIALS AND METHODS: An institutional, cross-sectional survey of adult patients with a history of cleft lip and/or palate was performed. The survey recorded patient characteristics, concerns, and barriers to care. Patient-reported outcome measures were assessed using the Nasal Obstruction Symptom Evaluation Scale, Epworth Sleepiness Scale, Mandibular Function Impairment Questionnaire, and the CLEFT-Q Speech Modules. RESULTS: A total of 63 patients (18.2%) participated in the survey. The mean patient age was 43.7 years (median: 41 y, range: 19-93 y), and the most common diagnosis was cleft lip and palate (51%) followed by isolated cleft palate (35%) and isolated cleft lip (14%). A subset of patients scored with moderate to severe dysfunction on each outcome measure including the Nasal Obstruction Symptom Evaluation Instrument (59%), Epworth Sleepiness Scale (7%), and Mandibular Function Impairment Questionnaire (13%). Respondent scores on the CLEFT-Q Speech modules demonstrated a bimodal distribution with lower scores in a significant subset of patients with cleft palate and cleft lip and palate. Many respondents (41%) were interested in clinical evaluation but cited barriers to seeking treatment including financial barriers (35%) or lack awareness of clinical options (27%). CONCLUSIONS: Many cleft patients have persistent needs or concerns in adulthood, especially regarding speech and nasal breathing. Systemic barriers pose challenges to these patients undergoing clinical evaluation.

Risk of selection bias assessment in the NINDS rt-PA stroke study.

OBJECTIVES: The NINDS rt-PA Stroke Study is frequently cited in support of alteplase for acute ischemic stroke within 3 h of symptom onset. Multiple post-hoc reanalyses of this trial have been published to adjust for a baseline imbalance in stroke severity. We performed a risk of selection bias assessment and reanalyzed trial data to determine if the etiology of this baseline imbalance was more likely due to random chance or randomization errors. METHODS: A risk of selection bias assessment was conducted using signaling questions from the Cochrane Risk of Bias 2 (ROB 2) tool. Four sensitivity analyses were conducted on the trial data based on the randomization process: assessment of imbalances in allocation in unique strata; adherence to a pre-specified restriction on randomization between time strata at each randomization center; assessment of differences in baseline computed tomography (CT) results in unique strata; and comparison of baseline characteristics between allocation groups within each time strata. A multivariable logistic regression model was used to compare reported treatment effects with revised treatment effects after adjustment of baseline imbalances identified in the sensitivity analyses. RESULTS: Based on criteria from the ROB 2 tool, the risk of bias arising from the randomization process was high. Sensitivity analyses found 11 of 16 unique strata deviated from the expected 1:1 allocation ratio. Three randomization centers violated an apriori rule regarding a maximum difference in allocation between the time strata. Three unique strata had imbalances in baseline CT results that prognostically favored alteplase. Four imbalances in baseline characteristics were identified in the 91-180-min time stratum that all prognostically favored alteplase and were consistent with a larger alteplase treatment effect size compared to the 0-90-min time stratum. After adjustments for baseline imbalances, all reported treatment effects were reduced. Three out of seven originally positive reported results were revised to non-significant. CONCLUSION: This risk of selection bias assessment revealed a high risk of selection bias in the NINDS rt-PA Stroke Study. Sensitivity analyses conducted based on the randomization process supported this assessment. Baseline imbalances in the trial were more likely due to randomization errors than random chance. Adjusted analyses accounting for baseline imbalances revealed a reduction in reported treatment effects supporting the presence of selection bias in the trial. Treatment decisions and guideline recommendations based on the original treatment effect reported in the NINDS rt-PA Stroke Study should be done cautiously.

Methodological survey of missing outcome data in an alteplase for ischemic stroke meta-analysis.

OBJECTIVE: Recent national guidelines recommend alteplase treatment for ischemic stroke within 4.5 h of symptom-onset based on meta-analyses of randomized controlled clinical trials (RCT). A detailed description of missing outcome data (MOD) due to participant loss to follow-up has never been published. The objective of this study was to perform a methodlogical survey on missing outcome data in an alteplase for ischemic stroke meta-analysis. MATERIALS AND METHODS: A methodological survey was performed on a chosen meta-analysis of alteplase for ischemic stroke RCTs that most closely aligns with recent national guideline recommendations. Data were collected to assess the number of participants lost to follow-up; differential lost to follow-up between allocation groups; baseline characteristics of those lost to follow-up; and the imputation methods used by individual trials and the chosen meta-analysis. The number of participants lost to follow-up was compared with the fragility index; and repeated for individually positive RCTs in the meta-analysis. RESULTS: The methodological survey revealed a substantial degree of missing information regarding MOD in the chosen meta-analysis and in individual RCTs. Single imputation was exclusively used in all RCTs and in the meta-analysis. The number of participants lost to follow-up was greater than the fragility index in the chosen meta-analysis and individually positive component RCTs suggesting that MOD may impact the direction of the reported effect or effect size. CONCLUSION: This methodological survey of an alteplase for ischemic stroke meta-analysis revealed MOD may be an important source of unrecognized bias. This survey highlights the need for sensitivity analyses using more robust methods of imputation.

Pediatric Odontogenic and Maxillofacial Bone Pathology: A Global Analysis.

BACKGROUND: Although pathology in the maxillary and mandibular bones is rare in young patients, the differential diagnosis is broad. The World Health Organization (WHO) updated its classification of maxillofacial bone pathology in 2017. Using these updated guidelines, a systematic review of common maxillofacial bone lesions in the pediatric population was performed. METHODS: A PubMed search was conducted capturing English language articles from inception to July 2020. Thirty-one articles were identified that described the frequency of maxillofacial bone pathology. Data were extracted and organized using the WHO 2017 classification of odontogenic and maxillofacial bone tumors. Prevalence data were analyzed among diagnostic categories and geographical regions. The SAS version 9.4 was used to complete statistical analyses. RESULTS: The articles included patients from birth to a maximum age of 14 to 19 years. The most common odontogenic cysts included radicular cyst (42.7%) and dentigerous cyst (39.0%) followed by odontogenic keratocyst (15.0%). Among odontogenic bone tumors, odontoma (49.3%) was most common followed by ameloblastoma (29.1%). The most common nonodontogenic bone tumor was fibrous dysplasia (42.4%), and the most common malignant bone tumor was osteosarcoma (75.0%). Significant variations were found by geographic region, with dentigerous cyst more common than radicular cyst, and ameloblastoma more common than odontoma in African and Asian countries (P < 0.0001). CONCLUSIONS: This systematic review uses the WHO 2017 guidelines to classify common odontogenic and nonodontogenic maxillofacial bone lesions around the world. Pathogenesis, presentation, and available treatment options for the most common maxillofacial bone lesions are reviewed.

Natural language processing with machine learning to predict outcomes after ovarian cancer surgery.

OBJECTIVE: To determine if natural language processing (NLP) with machine learning of unstructured full text documents (a preoperative CT scan) improves the ability to predict postoperative complication and hospital readmission among women with ovarian cancer undergoing surgery when compared with discrete data predictors alone. METHODS: Medical records from two institutions were queried to identify women with ovarian cancer and available preoperative CT scan reports who underwent debulking surgery. Machine learning methods using both discrete data predictors (age, comorbidities, preoperative laboratory values) and natural language processing of full text reports (preoperative CT scans) were used to predict postoperative complication and hospital readmission within 30 days of surgery. Discrimination was measured using the area under the receiver operating characteristic curve (AUC). RESULTS: We identified 291 women who underwent debulking surgery for ovarian cancer. Mean age was 59, mean preoperative CA125 value was 610 U/ml and albumin was 3.9 g/dl. There were 25 patients (8.6%) who were readmitted and 45 patients (15.5%) who developed postoperative complications within 30 days. Using discrete features alone, we were able to predict postoperative readmission with an AUC of 0.56 (0.54-0.58, 95% CI); this improved to 0.70 (0.68-0.73, 95% CI) (p < 0.001) with the addition of NLP of preoperative CT scans. CONCLUSIONS: Natural language processing with machine learning improved the ability to predict postoperative complication and hospital readmission among women with ovarian cancer undergoing surgery.

Unique Techniques Utilizing Rib Grafts for Mandibular Reconstruction in the Pediatric Population.

INTRODUCTION: Pediatric mandibular reconstruction requires a grafted segment of sufficient height and stability to support dental implant placement. Double barreling and mandibular distraction osteogenesis (MDO) after reconstruction are two techniques to achieve this, but they have only been reported with fibular grafts. Rib grafts not only have a lower donor site morbidity than fibular grafts, but they also provide adequate defect coverage in children. As such, we propose their use with either a double barrel technique or with MDO. METHODS: Three pediatric patients underwent mandibular resection and reconstruction using rib grafting. One patient underwent single rib graft placement with subsequent vertical rib distraction. In the remaining two patients, a double-barreled rib technique was used, stacked horizontally in one patient and vertically in the other. RESULTS: From March 2018 to May 2019, three patients with an average age of 11 underwent resection of mandibular tumors or tumor-like lesions followed by immediate reconstruction with rib graft. Due to postoperative wound complications, the graft was completely removed in one patient. The remaining two patients had an uneventful recovery with dental implants planned for one and fully osseointegrated in the other. None of the patients experienced donor-site complications. CONCLUSION: This case series supports the utility and versatility of autogenous rib grafts as a reconstructive option in children. Not only is rib an excellent bone source with low donor site morbidity, but its height can be augmented through MDO or double barreling, facilitating the successful placement of implants and oral rehabilitation in pediatric patients.

Simultaneous LeFort III and LeFort I Osteotomies in Craniometaphyseal Dysplasia.

Craniometaphyseal dysplasia (CMD) is a rare genetic disease affecting bone metabolism with sclerosis of craniofacial bones. Orthognathic surgery has rarely been described in this patient population due to the bony thickness, making osteotomies challenging. We present a 19-year-old male with CMD with malocclusion, severe midface hypoplasia, and obstructive sleep apnea. With the aid virtual planning, we safely performed a combined LeFort III/I midface advancement to correct a negative overjet to improve occlusal balance, decrease scleral show, and diminish daytime sleepiness.

Impact of Medicaid expansion on access and healthcare among individuals with sickle cell disease.

PURPOSE: Sickle cell disease (SCD) is associated with high acute healthcare utilization. The purpose of this study was to examine whether Medicaid expansion in California increased Medicaid enrollment, increased hydroxyurea prescriptions filled, and decreased acute healthcare utilization in SCD. METHODS: Individuals with SCD (≤65 years and enrolled in Medicaid for ≥6 total calendar months any year between 2011 and 2016) were identified in a multisource database maintained by the California Sickle Cell Data Collection Program. We describe trends and changes in Medicaid enrollment, hydroxyurea prescriptions filled, and emergency department (ED) visits and hospital admissions before (2011-2013) and after (2014-2016) Medicaid expansion in California. RESULTS: The cohort included 3635 individuals. Enrollment was highest in 2014 and lowest in 2016 with a 2.8% annual decease postexpansion. Although <20% of the cohort had a hydroxyurea prescription filled, the percentage increased by 5.2% annually after 2014. The ED visit rate was highest in 2014 and decreased slightly in 2016, decreasing by 1.1% annually postexpansion. Hospital admission rates were similar during the pre- and postexpansion periods. Young adults and adults had higher ED and hospital admission rates than children and adolescents. CONCLUSIONS: Medicaid expansion does not appear to have improved enrollment or acute healthcare utilization among individuals with SCD in California. Future studies should explore whether individuals with SCD transitioned to other insurance plans or became uninsured postexpansion, the underlying reasons for low hydroxyurea utilization, and the lack of effect on hospital admissions despite a modest effect on ED visits.

COVID-19 Pandemic and its Impact on Craniofacial Surgery.

In late 2019, a novel coronavirus strain, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), also known as coronavirus disease 2019 (COVID-19), triggered a global pandemic as the virus spread from the Wuhan Province, China, across all continents. Although infrequent, severe respiratory infection and death caused by SARS-CoV-2 is disproportionately high amongst healthcare providers such as craniofacial surgeons who work in the head and neck region. Factors this impact SARS-CoV-2 transmission include: (1) high viral loads in the mucosa of the oral and nasopharynx, (2) limited and/or imprecise disease screening/confirmation testing, (3) access to and appropriate use of personal protective equipment (PPE).

The Atherogenic Index of Plasma is Independently Associated with Symptomatic Carotid Artery Stenosis.

INTRODUCTION: Small, dense low-density lipoprotein (sdLDL) is strongly associated with symptomatic carotid artery stenosis, but is not routinely evaluated in ischemic stroke patients. A method using the logarithmic transformation of the ratio of the plasma concentration of triglycerides (TGY) to HDL-cholesterol (HDL-C)[(Log[TGY/HDL-C])] has been described as a surrogate marker for sdLDL termed the atherogenic index of plasma (AIP). OBJECTIVE: To determine if the AIP is independently associated with symptomatic carotid artery stenosis. METHODS: We conducted a single center case-controlled study using a sample of ischemic stroke patients and compared risk factors of patients with and without symptomatic carotid artery stenosis. A multivariate logistic regression model was used to determine if the AIP divided into four quartiles was independently associated with symptomatic carotid artery stenosis. This model was compared to three other lipid models. Associations between non-lipid variables and the AIP were also identified. RESULTS: 31 cases of ischemic stroke due to symptomatic carotid artery stenosis and 236 controls of ischemic stroke not due to carotid artery stenosis were identified. Of the four lipid models assessed, only the model including the AIP (model 4) was found to be significantly associated with symptomatic carotid artery stenosis. The odd's ratio (OR) for quartile 3 was 3.82 (95% CI 1.03-14.17) and the OR for quartile 4 was 4.13 (95% CI 1.09-15.54) using quartile 1 as a reference. Metabolic syndrome was the only variable associated with the AIP (OR 5.06 95% CI 2.6-9.7). CONCLUSION: At our single center, the AIP was the only lipid parameter independently associated with symptomatic carotid artery stenosis; and metabolic syndrome was independently associated with the AIP. The AIP may serve as a useful surrogate of sdLDL in patients with symptomatic carotid artery stenosis.

Stroke Mimics: An Important Source of Bias in Acute Ischemic Stroke Research.

STUDY OBJECTIVE: Stroke mimics may be difficult distinguish from acute ischemic strokes and are often treated with alteplase though not by intent. We report the characteristics, frequency, and outcomes of stroke mimics treated at our institution. Using our data, we then explore how the inclusion of stroke mimics in stroke outcomes research may be an important source of bias. METHODS: We retrospectively identified all patients treated with alteplase in our emergency department from August 2013 to December 2017 for suspected acute ischemic stroke. We collected the following variables: gender, age, risk factors (hypertension, diabetes, and atrial fibrillation), admission glucose, admission National Institute of Health Stroke Scale, admission mean arterial pressure, onset-to-treatment time, adverse events, discharge diagnosis, length of stay, discharge NIHSS, discharge destination, and 3 month modified Rankin score. RESULTS: One hundred and eighteen patients were treated with alteplase for suspected acute ischemic stroke of which 33 (27.9%) were stroke mimics. Compared to ischemic strokes, stroke mimics were younger (median age 53 versus 69; P < .0003); were less likely to have vascular risk factors (hypertension [51.5% versus 78.8%; P < .005] diabetes (9.1% versus 32.9%; P < .007), and atrial fibrillation (3.0% versus 23.5%; P < .006). The most common stroke mimic was transient ischemic attack (33.3%). Stroke mimics were significantly more likely to be discharged home (75.8% versus 41.2%; P < .002). Outcomes unadjusted for stroke mimics led to artificial inflation of a favorable discharge destination. CONCLUSIONS: Inclusion of stroke mimics led to an artificial inflation of a favorable discharge destination for our entire cohort. Our study highlights the potential for bias in reporting favorable outcomes if appropriate adjustment accounting for stroke mimics does not occur.

Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing.

OBJECTIVE: The manual adjudication of disease classification is time-consuming, error-prone, and limits scaling to large datasets. In ischemic stroke (IS), subtype classification is critical for management and outcome prediction. This study sought to use natural language processing of electronic health records (EHR) combined with machine learning methods to automate IS subtyping. METHODS: Among IS patients from an observational registry with TOAST subtyping adjudicated by board-certified vascular neurologists, we analyzed unstructured text-based EHR data including neurology progress notes and neuroradiology reports using natural language processing. We performed several feature selection methods to reduce the high dimensionality of the features and 5-fold cross validation to test generalizability of our methods and minimize overfitting. We used several machine learning methods and calculated the kappa values for agreement between each machine learning approach to manual adjudication. We then performed a blinded testing of the best algorithm against a held-out subset of 50 cases. RESULTS: Compared to manual classification, the best machine-based classification achieved a kappa of .25 using radiology reports alone, .57 using progress notes alone, and .57 using combined data. Kappa values varied by subtype being highest for cardioembolic (.64) and lowest for cryptogenic cases (.47). In the held-out test subset, machine-based classification agreed with rater classification in 40 of 50 cases (kappa .72). CONCLUSIONS: Automated machine learning approaches using textual data from the EHR shows agreement with manual TOAST classification. The automated pipeline, if externally validated, could enable large-scale stroke epidemiology research.

Comparison of Outpatient and Inpatient Pediatric Rhinoplasty: Results From National Surgical Quality Improvement Program-Pediatric, 2012-2014.

INTRODUCTION: Outpatient management of patients undergoing elective surgical procedures has been associated with significantly decreased health care costs compared with inpatient management. This study investigates current practices in outpatient versus inpatient management of pediatric rhinoplasty patients. METHODS: A query was performed of the 2012 to 2014 National Surgical Quality Improvement Program-Pediatric data sets. Patients age 17 or younger undergoing rhinoplasty as the primary surgical procedure were included. Clinical characteristics and complications were compared among patients managed as inpatients versus outpatients using both univariate and multivariate logistic regression analyses. RESULTS: Among 938 pediatric rhinoplasty patients, 199 (21.2%) were managed as inpatients. Multivariate analysis revealed multiple variables significantly associated with an increased odds of inpatient management, including young patient age, presence of a congenital malformation, neurologic or nutritional disease, lengthy procedure time, management by a plastic surgeon compared with an otolaryngologist, and certain procedure types including cleft septorhinoplasty, secondary rhinoplasty with intermediate or major revision, and rib cartilage grafting. Complications among both inpatients and outpatients were rare, with the most common complication being readmission among 15 patients (1.6%). CONCLUSIONS: This study indicates that multiple subgroups of pediatric patients undergoing rhinoplasty procedures have a significantly increased likelihood of inpatient management without any significantly increased likelihood of a complication or need for readmission. Future efforts to manage appropriately selected children on an ambulatory basis may be safe, while improving costs and quality of care.

Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning.

BACKGROUND: Gastrostomy placement after intracerebral hemorrhage indicates the need for continued medical care and predicts patient dependence. Our objective was to determine the optimal machine learning technique to predict gastrostomy. METHODS: We included 531 patients in a derivation cohort and 189 patients from another institution for testing. We derived and tested predictions of the likelihood of gastrostomy placement with logistic regression using the GRAVo score (composed of Glasgow Coma Scale ≤12, age >50 years, black race, and hematoma volume >30 mL), compared to other machine learning techniques (kth nearest neighbor, support vector machines, random forests, extreme gradient boosting, gradient boosting machine, stacking). Receiver Operating Curves (Area Under the Curve, [AUC]) between logistic regression (the technique used in GRAVo score development) and other machine learning techniques were compared. Another institution provided an external test data set. RESULTS: In the external test data set, logistic regression using the GRAVo score components predicted gastrostomy (P < 0.001), however, with a lower AUC (0.66) than kth nearest neighbors (AUC 0.73), random forests (AUC 0.74), Gradient boosting machine (AUC 0.77), extreme gradient boosting (AUC 0.77), (P < 0.01 for all compared to logistic regression). Results from the internal test set were similar. CONCLUSIONS: Machine learning techniques other than logistic regression (eg, random forests, extreme gradient boost, and kth nearest neighbors) were significantly more accurate for predicting gastrostomy using the same independent variables. Machine learning techniques may assist clinicians in identifying patients likely to need interventions.

Abdominoperineal Pull-through with Simultaneous Extravesical Detrussoraphy: An Alternative Surgical Technique for Congenital Pouch Colon with High-grade Vesicoureteric Reflux.

Congenital pouch colon (CPC) is frequently associated with vesicoureteric reflux (VUR). These patients require long-term antibiotic prophylaxis and/or an additional surgical intervention for the management of the refluxing system. We propose a single-stage alternative approach in these patients. Two patients diagnosed to have CPC underwent pouch excision and an end colostomy at birth. Further evaluation revealed high-grade reflux in both the patients. At 6 months of age, definitive abdominoperineal pull-through (APPT) surgery along with extravesical detrusorrhaphy was performed. In the follow-up at 1 year, they are thriving well with no urinary complaints. Micturating cystourethrogram revealed complete resolution of VUR. This approach takes the advantage of the anesthesia for APPT and offers a relatively simple and quick solution for the refluxing system, thus, enabling the stoppage of antibiotic prophylaxis and obviating the need for a future endoscopy/surgery.

Systemic Complications Following Aneurysmal Subarachnoid Hemorrhage.

Many systemic complications follow aneurysmal subarachnoid hemorrhage and are primarily due to sympathetic nervous system activation. These complications play an important role in the overall outcome of patients. The purpose of this review is to provide an update on the diagnosis, pathophysiology, and management of systemic complications specifically associated with aneurysmal subarachnoid hemorrhage. Special focus has been made on systemic complications that occur more frequently in patients with aneurysmal subarachnoid hemorrhage compared to other stroke subtypes and in the neurocritical care patient population. These complications include neurogenic pulmonary edema, electrocardiographic changes, troponin elevation, neurogenic stunned myocardium, hyponatremia, and anemia.

The radial forearm snake flap: A novel approach to oral cavity and oropharyngeal reconstruction that reduces forearm donor site morbidity.

BACKGROUND: Radial forearm free flaps are a versatile option for head and neck reconstruction, but often complicated by donor-site problems including skin-graft loss and wound breakdown. We introduce the radial forearm "snake" flap as a technique enabling primary donor site closure and compare wound healing outcomes to flap donor sites requiring split thickness skin graft (STSG) closure. PATIENTS AND METHODS: A review of all radial forearm free flaps harvested over a 5-year period was performed. We identified 18 radial forearm snake flaps whose donor sites were closed primarily. These flaps were designed as a long, narrow ellipse parallel to the forearm. An additional 57 forearm flaps were identified whose donor sites were closed with STSGs. Patient demographics, free flap survival rates, and wound healing complications were compared. RESULTS: The survival rate for radial forearm snake flaps was 100% compared to 98.2% for wider radial forearm flaps (P = 1.00). There were 8 tendon exposures at the donor site, all of which occurred in patients whose donor sites were closed with STSGs. Delayed wound healing occurred in 1 radial forearm snake flap donor site (5.6%) compared to 18 (31.6%) donor sites closed with STSGs (P = 0.03). CONCLUSIONS: Radial forearm snake flaps are useful for reconstruction of small to medium size defects of the oral cavity and oropharynx and enable primary donor site closure. Flap success rates are not compromised by raising a radial forearm snake flap and rates of delayed healing of the flap donor site are significantly reduced compared to forearm flap donor sites closed with STSGs. © 2014 Wiley Periodicals, Inc. Microsurgery 37:6-11, 2017.

Risk factors for unplanned readmission following head and neck microvascular reconstruction: Results from the National Surgical Quality Improvement Program, 2011-2014.

INTRODUCTION: Unplanned readmissions are associated with decreased healthcare quality and increased costs. This nationwide study examines causes for unplanned readmission among head and neck cancer patients undergoing immediate microsurgical reconstruction. METHODS: Patients undergoing head and neck tumor resection with microsurgical reconstruction were identified in the 2011-2014 National Surgical Quality Improvement Program database. Clinical characteristics and complications were compared among patients who did and did not undergo unplanned readmission. Univariate and multivariate logistic regression analyses were performed. RESULTS: Database search revealed 1,063 patients, 94 (8.8%) of whom had unplanned readmissions. Readmitted patients had significantly higher ASA scores (14.9% vs.7.3% ASA class 4 patients; P = 0.03) and significantly higher rates of disseminated cancer (14.9% vs.7.1%; P = 0.01), laryngopharyngectomy (17.0% vs.6.9%; P = 0.0005), deep wound infection (22.3% vs.2.4%; P < 0.0001), wound dehiscence (19.1% vs.3.3%; P < 0.0001), and blood transfusion within 72 h of surgery (44.7% vs.32.6%; P = 0.02). Multivariate logistic regression revealed deep wound infection (OR = 8.65, P < 0.0001) and wound dehiscence (OR = 3.69, P = 0.0004) to be independent predictors of unplanned readmission. CONCLUSIONS: Deep wound infection and wound dehiscence were independent predictors of unplanned readmission among head and neck cancer patients undergoing immediate microsurgical reconstruction. Institutions should focus efforts on improving wound surveillance, outpatient strategies for wound care, and optimization of discharge planning for this complex patient population.