-A machine learning model to predict surgical site infection after surgery of lower extremity fractures.

PURPOSE: This study aimed to develop machine learning algorithms for identifying predictive factors associated with the risk of postoperative surgical site infection in patients with lower extremity fractures. METHODS: A machine learning analysis was conducted on a dataset comprising 1,579 patients who underwent surgical fixation for lower extremity fractures to create a predictive model for risk stratification of postoperative surgical site infection. We evaluated different clinical and demographic variables to train four machine learning models (neural networks, boosted generalised linear model, naïve bayes, and penalised discriminant analysis). Performance was measured by the area under the curve score, Youdon's index and Brier score. A multivariate adaptive regression splines (MARS) was used to optimise predictor selection. RESULTS: The final model consisted of five predictors. (1) Operating room time, (2) ankle region, (3) open injury, (4) body mass index, and (5) age. The best-performing machine learning algorithm demonstrated a promising predictive performance, with an area under the ROC curve, Youdon's index, and Brier score of 77.8%, 62.5%, and 5.1%-5.6%, respectively. CONCLUSION: The proposed predictive model not only assists surgeons in determining high-risk factors for surgical site infections but also empowers patients to closely monitor these factors and take proactive measures to prevent complications. Furthermore, by considering the identified predictors, this model can serve as a reference for implementing preventive measures and reducing postoperative complications, ultimately enhancing patient outcomes. However, further investigations involving larger datasets and external validations are required to confirm the reliability and applicability of our model.

Rates of bronchopulmonary dysplasia in very low birth weight neonates: a systematic review and meta-analysis.

IMPORTANCE: Large-scale estimates of bronchopulmonary dysplasia (BPD) are warranted for adequate prevention and treatment. However, systematic approaches to ascertain rates of BPD are lacking. OBJECTIVE: To conduct a systematic review and meta-analysis to assess the prevalence of BPD in very low birth weight (≤ 1,500 g) or very low gestational age (< 32 weeks) neonates. DATA SOURCES: A search of MEDLINE from January 1990 until September 2019 using search terms related to BPD and prevalence was performed. STUDY SELECTION: Randomized controlled trials and observational studies evaluating rates of BPD in very low birth weight or very low gestational age infants were eligible. Included studies defined BPD as positive pressure ventilation or oxygen requirement at 28 days (BPD28) or at 36 weeks postmenstrual age (BPD36). DATA EXTRACTION AND SYNTHESIS: Two reviewers independently conducted all stages of the review. Random-effects meta-analysis was used to calculate the pooled prevalence. Subgroup analyses included gestational age group, birth weight group, setting, study period, continent, and gross domestic product. Sensitivity analyses were performed to reduce study heterogeneity. MAIN OUTCOMES AND MEASURES: Prevalence of BPD defined as BPD28, BPD36, and by subgroups. RESULTS: A total of 105 articles or databases and 780,936 patients were included in this review. The pooled prevalence was 35% (95% CI, 28-42%) for BPD28 (n = 26 datasets, 132,247 neonates), and 21% (95% CI, 19-24%) for BPD36 (n = 70 studies, 672,769 neonates). In subgroup meta-analyses, birth weight category, gestational age category, and continent were strong drivers of the pooled prevalence of BPD. CONCLUSIONS AND RELEVANCE: This study provides a global estimation of BPD prevalence in very low birth weight/low gestation neonates.

Appraisal of clinical practice guidelines for salivary gland cancer management utilizing AGREE II instrument.

OBJECTIVE: Salivary gland cancers (SGC) are rare neoplasms which comprise 1-5 % of all head and neck cancers. SGCs can be managed by resection, radiosurgery, chemotherapy, or a combination of these. Our team appraised the quality of clinical practice guidelines (CPGs) for SGC treatment and management using the Appraisal of Guidelines for Research and Evaluation (AGREE-II) instrument. DATA SOURCES: PubMed, Scopus, & EMBASE were reviewed for CPGs regarding SGC management from database inception to January 1st, 2023. REVIEW METHODS: The AGREE-II instrument was used by 4 reviewers to independently evaluate guidelines. Domain scores were generated with a satisfactory threshold being >60 % - a "high" quality CPG required >4 satisfactory domains. Intraclass correlation coefficients (ICCs) were used, via R 4.2.1., to determine inter-reviewer variability. RESULTS: Literature review identified 645 articles, with six being included after applying inclusion and exclusion criteria. Of the six included articles, one CPG was "high" quality and 5 were "low" quality. The domains with the highest scores were "Editorial Independence" (72.57 ± 36.60) and "Clarity and Presentation" (63.19 ± 26.08), while the lowest were "Rigor of Development" (34.03 ± 30.63) and "Applicability" (30.21 ± 30.46). ICC scores for each domain ranged from 0.937 to 0.983, indicating a high level of inter-rater agreement. CONCLUSION: This study found that most CPGs for the treatment and management of SGC were of "low" quality, with only one guideline being considered "high" quality based on the standard set by the AGREE-II instrument. These findings indicate that there is a high level of variability and little standardization when it comes to the quality of CPGs.

Systematic evaluation of Merkel cell carcinoma clinical practice guidelines using the AGREE II instrument.

Merkel cell carcinoma (MCC) is a rare type of skin cancer that requires a multidisciplinary approach with a variety of specialists for management and treatment. Clinical practice guidelines (CPGs) have recently been established to standardize management algorithms. The objective of this study was to appraise such CPGs via the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument. Eight CPGs were identified via systematic literature search following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. Four appraisers trained in AGREE II protocols evaluated each CPG and deemed two CPGs as high quality, five as moderate quality, and one as low quality. Intraclass correlation coefficients (ICCs) were calculated to verify reviewer consistency as excellent, good, and moderate across four, one, and one domain, respectively. The majority of MCC CPGs are lacking in specifying stakeholder involvement, applicability, and rigor of development. The two high quality CPGs are from the Alberta Health Services (AHS) and the collaboration between the European Dermatology Forum, the European Association of Dermato-Oncology, and the European Organization of Research and Treatment of Cancer (EDF/EADO/EORTC). The EDF/EADO/EORTC CPG had the highest overall score with no significant deficiencies across any domain. An important limitation is that the AGREE II instrument is not designed to evaluate the validity of each CPG's recommendations; conclusions therefore can only be drawn about each CPG's developmental quality. Future MCC CPGs may benefit from garnering public perspectives, inviting external expert review, and considering available resources and implementation barriers during their developmental stages.

Managing vestibular schwannomas with radiosurgery and radiotherapy: AGREE II appraisal of clinical practice guidelines.

INTRODUCTION: Vestibular schwannomas (VSs) are rare, benign intracranial tumours that have prompted clinical practice guideline (CPG) creation given their complex management. Our aim was to utilize the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument to assess if such CPGs on the management of VSs with radiosurgery and radiotherapy are of acceptable quality. METHODS: Relevant CPGs were identified following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols. Experienced reviewers then extracted general CPG properties and rated their quality via the AGREE II instrument. Intraclass correlation coefficients (ICCs) were quantified to assess interrater reliability. RESULTS: Nine CPGs on the management of VSs with radiosurgery and radiotherapy were identified. All CPGs were created in the past six years and developed recommendations based on literature review and expert consensus. One guideline was deemed as high quality with seven others being moderate and one being low in quality. The clarity of the presentation domain had the highest mean scaled domain score of 96.0%. The domains of stakeholder involvement and applicability had the lowest means of 49.2% and 47.2%, respectively. ICCs were either good or excellent across all domains. CONCLUSION: Current CPGs on the management of VSs with radiosurgery and radiotherapy are of acceptable quality but would greatly benefit from improvements in applicability, stakeholder involvement, editorial independence and rigour of development. We recommend CPG authors reference the European Association of Neuro-Oncology (EANO) guideline as a developmental framework with the Congress of Neurological Surgeons/American Association of Neurological Surgeons (CNS/AANS) CPG being a valid alternative.

Bridging the Gap: Exploring Bronchopulmonary Dysplasia through the Lens of Biomedical Informatics.

Bronchopulmonary dysplasia (BPD), a chronic lung disease predominantly affecting premature infants, poses substantial clinical challenges. This review delves into the promise of biomedical informatics (BMI) in reshaping BPD research and care. We commence by highlighting the escalating prevalence and healthcare impact of BPD, emphasizing the necessity for innovative strategies to comprehend its intricate nature. To this end, we introduce BMI as a potent toolset adept at managing and analyzing extensive, diverse biomedical data. The challenges intrinsic to BPD research are addressed, underscoring the inadequacies of conventional approaches and the compelling need for data-driven solutions. We subsequently explore how BMI can revolutionize BPD research, encompassing genomics and personalized medicine to reveal potential biomarkers and individualized treatment strategies. Predictive analytics emerges as a pivotal facet of BMI, enabling early diagnosis and risk assessment for timely interventions. Moreover, we examine how mobile health technologies facilitate real-time monitoring and enhance patient engagement, ultimately refining BPD management. Ethical and legal considerations surrounding BMI implementation in BPD research are discussed, accentuating issues of privacy, data security, and informed consent. In summation, this review highlights BMI's transformative potential in advancing BPD research, addressing challenges, and opening avenues for personalized medicine and predictive analytics.

A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities.

Bronchopulmonary dysplasia (BPD) is a complex, multifactorial lung disease affecting preterm neonates that can result in long-term pulmonary and non-pulmonary complications. Current therapies mainly focus on symptom management after the development of BPD, indicating a need for innovative approaches to predict and identify neonates who would benefit most from targeted or earlier interventions. Clinical informatics, a subfield of biomedical informatics, is transforming healthcare by integrating computational methods with patient data to improve patient outcomes. The application of clinical informatics to develop and enhance clinical therapies for BPD presents opportunities by leveraging electronic health record data, applying machine learning algorithms, and implementing clinical decision support systems. This review highlights the current barriers and the future potential of clinical informatics in identifying clinically relevant BPD phenotypes and developing clinical decision support tools to improve the management of extremely preterm neonates developing or with established BPD. However, the full potential of clinical informatics in advancing our understanding of BPD with the goal of improving patient outcomes cannot be achieved unless we address current challenges such as data collection, storage, privacy, and inherent data bias.

Management of the Difficult Airway: An Appraisal of Clinical Practice Guidelines.

OBJECTIVE: Management of the difficult airway can be a challenging process, which necessitates actionable recommendations from well-established guidelines. Herein, clinical practice guideline (CPG) quality is evaluated using the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument. STUDY DESIGN: A systematic literature search was performed using Scopus, EMBASE, and MEDLINE via PubMed. SETTING: Literature database. METHODS: Data were abstracted from relevant guidelines and appraised by 4 expert reviewers in the 6 domains of quality defined by AGREE II. Intraclass correlation coefficients (ICC) were calculated across domains to quantify interrater reliability. RESULTS: Twelve guidelines met the inclusion criteria. With a mean quality score of 83.1%, the highest quality guideline was authored by the American Society of Anesthesiologists (ASA). Low-quality content was observed in CPGs authored by the Japanese Society of Anesthesiologists (JSA) and the Chinese Collaboration Group for Emergency Airway Management (CCGEAM). Overall, deficits were most pronounced in domains describing the involvement of stakeholders, developmental rigor, and editorial independence. These findings were consistent among the panel of independent reviewers, with high ICC inter-rater reliability scores of 58.0% to 70.0% for the referenced domains. CONCLUSION: By providing a comprehensive appraisal of guidelines, this report may serve as a reference for clinicians seeking to understand and improve upon the developmental quality of difficult airway management resources. According to AGREE II criteria for the quality of the guideline creation process, the 2022 ASA guideline outperforms its predecessors.

Radioactive Iodine in Differentiated Thyroid Carcinoma: A Systematic AGREE II Clinical Practice Guideline Appraisal.

OBJECTIVE: Identify and appraise clinical practice guidelines (CPGs) for radioactive iodine (RAI) indications in differentiated thyroid carcinoma (DTC), and the treatment for radioactive iodine refractory (RAI-R) DTC using the Appraisal of Guidelines for Research and Evaluation II tool. DATA SOURCES: MEDLINE (Pubmed), Ovid (EMBASE), and Scopus. REVIEW METHODS: A systematic literature search was conducted to identify CPGs addressing RAI in DTC. CPGs were appraised by 4 independent reviewers in 6 distinct areas of quality. Scaled domain scores were subsequently calculated for each domain. Intraclass correlation coefficients were calculated for each domain to assess interrater reliability. RESULTS: Sixteen guidelines were found addressing RAI indications for DTC. Of these 16, 9 also addressed the treatment of RAI-R DTC. A further 6 unique guidelines were identified that exclusively address RAI-R DTC, bringing the total number of guidelines to 22. The American Thyroid Association (ATA) guidelines for adult thyroid cancer were the highest scoring with a mean score of 83.5%. Two guidelines scored >60% in 5 or more domains, qualifying as "high" quality: ATA and British Thyroid Association. The highest scoring domain was domain 4: clarity of presentation (80.4%) while the lowest scoring domain was domain 5: applicability (38.6%). CONCLUSION: Of the 22 guidelines identified, only two were "high quality." CPGs exclusively addressing the treatment of RAI-R DTC were weak with most guidelines scoring in the "low" quality range. This report reveals an unmet need for rigorously developed guidelines addressing indications for RAI in DTC, as well as the treatment for RAI-R DTC.

Leveraging transcriptomics to develop bronchopulmonary dysplasia endotypes: a concept paper.

IMPACT: Bronchopulmonary dysplasia has multiple definitions that are currently based on phenotypic characteristics. Using an unsupervised machine learning approach, we created BPD subclasses (e.g., endotypes) by clustering whole microarray data. T helper 17 cell differentiation was the most significant pathway differentiating the BPD endotypes. INTRODUCTION: Bronchopulmonary dysplasia (BPD) is the most common complication of extreme prematurity. Discovery of BPD endotypes in an unbiased format, derived from the peripheral blood transcriptome, may uncover patterns underpinning this complex lung disease. METHODS: An unsupervised agglomerative hierarchical clustering approach applied to genome-wide expression of profiling from 62 children at day of life five was used to identify BPD endotypes. To identify which genes were differentially expressed across the BPD endotypes, we formulated a linear model based on least-squares minimization with empirical Bayes statistics. RESULTS: Four BPD endotypes (A, B,C,D) were identified using 7,319 differentially expressed genes. Across BPD endotypes, 5,850 genes had a p value < 0.05 after multiple comparison testing. Endotype A consisted of neonates with a higher gestational age and birthweight. Endotypes B-D included neonates between 25 and 26 weeks and a birthweight range of 640 to 940 g. Endotype D appeared to have a protective role against BPD compared to Endotypes B and C (36% vs. 62% vs. 60%, respectively). The most significant pathway focused on T helper 17 cell differentiation. CONCLUSION: Bioinformatic analyses can help identify BPD endotypes that associate with clinical definitions of BPD.

The eNAMPT/TLR4 inflammatory cascade drives the severity of intra-amniotic inflammation in pregnancy and predicts infant outcomes.

Introduction: Intra-amniotic inflammation (IAI) or chorioamnionitis is a common complication of pregnancy producing significant maternal morbidity/mortality, premature birth and neonatal risk of chronic lung diseases such as bronchopulmonary dysplasia (BPD). We examined eNAMPT (extracellular nicotinamide phosphoribosyltransferase), a critical inflammatory DAMP and TLR4 ligand, as a potential therapeutic target to reduce IAI severity and improve adverse fetal/neonatal outcomes. Methods: Blood/tissue samples were examined in: 1) women with histologically-proven chorioamnionitis, 2) very low birth weight (VLBW) neonates, and 3) a preclinical murine pregnancy model of IAI. Groups of pregnant IAI-exposed mice and pups were treated with an eNAMPT-neutralizing mAb. Results: Human placentas from women with histologically-proven chorioamnionitis exhibited dramatic NAMPT expression compared to placentas without chorioamnionitis. Increased NAMPT expression in whole blood from VLBW neonates (day 5) significantly predicted BPD development. Compared to untreated LPS-challenged murine dams (gestational day 15), pups born to eNAMPT mAb-treated dams (gestational days 15/16) exhibited a > 3-fold improved survival, reduced neonate lung eNAMPT/cytokine levels, and reduced development and severity of BPD and pulmonary hypertension (PH) following postnatal exposure to 100% hyperoxia days 1-14. Genome-wide gene expression studies of maternal uterine and neonatal cardiac tissues corroborated eNAMPT mAb-induced reductions in inflammatory pathway genes. Discussion: The eNAMPT/TLR4 inflammatory pathway is a highly druggable contributor to IAI pathobiology during pregnancy with the eNAMPT-neutralizing mAb a novel therapeutic strategy to decrease premature delivery and improve short- and long-term neonatal outcomes. eNAMPT blood expression is a potential biomarker for early prediction of chronic lung disease among premature neonates.

A bioinformatics approach towards bronchopulmonary dysplasia.

Background and Objective: Bronchopulmonary dysplasia (BPD) is the most common morbidity associated with prematurity and remains a significant clinical challenge. Bioinformatic approaches, such as genomics, transcriptomics, and proteomics, have emerged as novel methods for studying the underlying mechanisms driving BPD pathogenesis. These methods can be used alongside clinical data to develop a better understanding of BPD and potentially identify the most at risk neonates within the first few weeks of neonatal life. The objective of this review is to provide an overview of the current state-of-the-art in bioinformatics for BPD research. Methods: We conducted a literature review of bioinformatics approaches for BPD using PubMed. The following keywords were used: "biomedical informatics", "bioinformatics", "bronchopulmonary dysplasia", and "omics". Key Content and Findings: This review highlighted the importance of omic-approaches to better understand BPD and potential avenues for future research. We described the use of machine learning (ML) and the need for systems biology methods for integrating large-scale data from multiple tissues. We summarized a handful of studies that utilized bioinformatics for BPD in order to better provide a view of where things currently stand, identify areas of ongoing research, and concluded with challenges that remain in the field. Conclusions: Bioinformatics has the potential to enable a more comprehensive understanding of BPD pathogenesis, facilitating a personalized and precise approach to neonatal care. As we continue to push the boundaries of biomedical research, biomedical informatics (BMI) will undoubtedly play a key role in unraveling new frontiers in disease understanding, prevention, and treatment.

Immune resilience despite inflammatory stress promotes longevity and favorable health outcomes including resistance to infection.

Some people remain healthier throughout life than others but the underlying reasons are poorly understood. Here we hypothesize this advantage is attributable in part to optimal immune resilience (IR), defined as the capacity to preserve and/or rapidly restore immune functions that promote disease resistance (immunocompetence) and control inflammation in infectious diseases as well as other causes of inflammatory stress. We gauge IR levels with two distinct peripheral blood metrics that quantify the balance between (i) CD8+ and CD4+ T-cell levels and (ii) gene expression signatures tracking longevity-associated immunocompetence and mortality-associated inflammation. Profiles of IR metrics in ~48,500 individuals collectively indicate that some persons resist degradation of IR both during aging and when challenged with varied inflammatory stressors. With this resistance, preservation of optimal IR tracked (i) a lower risk of HIV acquisition, AIDS development, symptomatic influenza infection, and recurrent skin cancer; (ii) survival during COVID-19 and sepsis; and (iii) longevity. IR degradation is potentially reversible by decreasing inflammatory stress. Overall, we show that optimal IR is a trait observed across the age spectrum, more common in females, and aligned with a specific immunocompetence-inflammation balance linked to favorable immunity-dependent health outcomes. IR metrics and mechanisms have utility both as biomarkers for measuring immune health and for improving health outcomes.

Gender analysis of the top classic papers in otolaryngology head and neck surgery.

Objective: The aim of this study was to identify and analyze the gender breakdown of first authorship contributing to the most-cited papers in the field of otolaryngology, with a goal of identifying trends in gender representation in publishing. Methods: The top 150 most-cited papers were identified using the Science Citation Index of the Institute for Scientific Information. Among the first authors, gender, h-index, percentage of first, last, and corresponding authorship positions, total publications, and citations were analyzed. Results: The majority of papers were in the English language, from the United States, of clinical nature, and on otologic topics. Eighty-one percent of papers (n = 122) had men who were first authors, although there was no difference in h-index score, authorship position, number of publications, citations, and average citations/year between men and women first authors. Upon subgroup analysis by decade (1950s-2010s), there was no difference in the number of articles by women first authors (P = 0.11); however, there was a statistically significant increase in the percentage of women authors (P = 0.001) in papers published later compared to those published earlier. Conclusions: While a promising number of women otolaryngologists are publishing high-powered articles, future initiatives to promote academic inclusivity of women should be considered.

Clinical practice guidelines for management of head and neck squamous cell carcinoma of unknown primary: an AGREE II appraisal.

IMPORTANCE: Squamous cell carcinoma without a known primary is an uncommon form of head and neck cancer that requires multidisciplinary collaboration for effective management. OBJECTIVE: To evaluate the quality of clinical practice guidelines (CPG) using the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument. DESIGN: A systematic literature search was performed to identify CPGs pertaining to the diagnosis and treatment of head and neck squamous cell carcinoma of unknown primary (HNSCCUP). Data were abstracted from guidelines meeting inclusion criteria and appraised by four independent reviewers in the six domains of quality defined by the AGREE II. SETTING: Online database. PARTICIPANTS: None. EXPOSURE: None. MAIN OUTCOME(S) AND MEASURE(S): Quality domain scores and intraclass correlation coefficients (ICC) were calculated across domains to qualify inter-rater reliability. RESULTS: Seven guidelines met inclusion criteria. Two guidelines achieved a score of > 60% in five or more AGREE II quality domains to gain designation as 'high'-quality content. One "average-quality" guideline authored by the ENT UK Head and Neck Society Council achieved a score of > 60% in three quality domains. The remaining four CPGs demonstrated low-quality content, with deficits most pronounced in domains 3 and 5, suggesting a lack of rigorously developed and clinically applicable information. CONCLUSIONS AND RELEVANCE: As the diagnosis and treatment of head and neck cancer continues to evolve, identification of high-quality guidelines will become increasingly important. The authors recommend consulting HNSCCUP guidelines from the National Institute for Health and Care Excellence (NICE) or the American Society of Clinical Oncology (ASCO). TRIAL REGISTRATION: None.

Epidemiology of Anterior and Lateral Basilar Skull Fractures With CSF Leak: A National Trauma Data Bank Analysis.

OBJECTIVE: Cerebrospinal fluid (CSF) leaks are a complication from dural violations that can occur in the setting of skull base fractures. No prior study provides a nationwide epidemiological analysis of traumatic CSF leaks. The objective of this report is to characterize patient demographics, injury-related variables, and operative management. METHODS: The national trauma data bank was queried for both anterior and lateral skull base fracture cases between 2008 and 2016. Clinical data were extracted. RESULTS: A total of 242 skull base fractures with CSF leak were identified. Most patients were male (84.3%), and the median patient age was 39.7±17.6 years old. Glasgow Coma Scale was 14.0 [interquartile range (IQR): 6.5-10.6] for lateral fractures, 13.0 (IQR: 3.0-10.0) for anterior fractures, and severe range for combined fractures at 7.0 (IQR: 5.0-9.0) (analysis of variance, P =0.122). Common mechanisms of injury were motor vehicle accidents (107, 44.2%), followed by falls and firearms (65, 26.9% and 20, 8.3%, respectively). The median length of stay was 2 weeks, with a median of 14 days (IQR: 10-25) for the anterior fractures and 10 days (IQR 5-19) among the lateral fractures ( P =0.592). Patients were most commonly discharged home in both the anterior (43.8%) and lateral (49.2%) groups. CONCLUSIONS: The prototypical patient tends to be a young adult male presenting with moderate-to-severe range neurological dysfunction after a vehicular accident. The overall prognosis of skull base fractures with CSF leak remains encouraging, with nearly half of these patients being discharged home within 2 weeks.

Development of a peripheral blood transcriptomic gene signature to predict bronchopulmonary dysplasia.

Bronchopulmonary dysplasia (BPD) is the most common lung disease of extreme prematurity, yet mechanisms that associate with or identify neonates with increased susceptibility for BPD are largely unknown. Combining artificial intelligence with gene expression data is a novel approach that may assist in better understanding mechanisms underpinning chronic lung disease and in stratifying patients at greater risk for BPD. The objective of this study is to develop an early peripheral blood transcriptomic signature that can predict preterm neonates at risk for developing BPD. Secondary analysis of whole blood microarray data from 97 very low birth weight neonates on day of life 5 was performed. BPD was defined as positive pressure ventilation or oxygen requirement at 28 days of age. Participants were randomly assigned to a training (70%) and testing cohort (30%). Four gene-centric machine learning models were built, and their discriminatory abilities were compared with gestational age or birth weight. This study adheres to the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) statement. Neonates with BPD (n = 62 subjects) exhibited a lower median gestational age (26.0 wk vs. 30.0 wk, P < 0.01) and birth weight (800 g vs. 1,280 g, P < 0.01) compared with non-BPD neonates. From an initial pool (33,252 genes/patient), 4,523 genes exhibited a false discovery rate (FDR) <1%. The area under the receiver operating characteristic curve (AUC) for predicting BPD utilizing gestational age or birth weight was 87.8% and 87.2%, respectively. The machine learning models, using a combination of five genes, revealed AUCs ranging between 85.8% and 96.1%. Pathways integral to T cell development and differentiation were associated with BPD. A derived five-gene whole blood signature can accurately predict BPD in the first week of life.

Clinical practice guidelines for the management of recurrent head and neck cancer: a systematic review and quality appraisal.

PURPOSE: Recurrent head and neck cancer (HNC) has a significant global disease burden and its treatment is complex. Multiple clinical practice guidelines (CPGs) have been developed to improve management of these patient populations; however, no study has systematically reviewed the quality and rigor in development of these guidelines. Here, we identify and systematically appraise existing recommendations for the management of recurrent HNC and assess their clinical applicability, methodologic rigor, and transparency of development. METHODS: A systematic search of the PubMed, Embase, and Scopus databases was conducted for recurrent HNC CPGs. Each guideline was scored independently by four reviewers trained in the Appraisal of Guidelines for Research and Evaluation, 2nd edition (AGREE II) methodology. Salient recommendations from the selected guidelines were summarized. RESULTS: Our literature search yielded 1799 articles; after iterative title/abstract and full text screening, five remaining guidelines met inclusion criteria. CPGs received the lowest scores in 'Applicability' and 'Rigor of development,' with scores of 12.9% and 22.3%, respectively. Overall quality of available guidelines for management of recurrent HNC is poor, with an average overall scaled domain score of 40.9% (± 11.0), and with four guidelines (80.0%) receiving an overall quality rating of 'low'. CONCLUSION: We found significant variability in quality and overall lack of methodologic rigor among available guidelines for the management of recurrent HNC. Future groups developing recommendations for this purpose should implement the AGREE II framework to improve quality and standardization of their guidelines.

Assessment of clinical guidelines for medication-related osteonecrosis of the jaw: current status and future directions.

OBJECTIVE: To evaluate the current quality and utility of clinical practice guidelines (CPGs) issued for the diagnosis, prevention, and treatment of medication-related osteonecrosis of the jaw (MRONJ). STUDY DESIGN: We performed a systematic literature search of guidelines for MRONJ diagnosis, staging, prevention, or management. An appraisal of guidelines was completed using the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument. Scaled domain scores were calculated for each domain. Key recommendations were abstracted from guidelines distinguished as "high" quality. RESULTS: Six CPGs were identified from systematic review. Four of 6 (66.7%) guidelines were published within the last 2 years. Each guideline discussed management of antiresorptive and antiangiogenic therapy-associated osteonecrosis of the jaw. The highest-scoring domain was domain 1: "Scope and purpose," with an average score of 85.0% (range: 76.4%-100.0%). The lowest domain score was in domain 5: "Applicability," with an average score of 41.7% (range: 22.9%-92.7%). Only 2 guidelines (33.3%) met the quality threshold of > 60% in 5 or more AGREE II domains, distinguishing them as "high"-quality guidelines. The average kappa statistic calculated across domains was 0.77, suggesting substantial interrater correlation in the CPG appraisal process. CONCLUSIONS: Despite the increasing recognition of MRONJ as a debilitating consequence of antiresorptive and antiangiogenic therapy, clinical guideline recommendations may be lacking in overall quality and clinical utility.

Characterizing critical predictors of an academic career following head and neck fellowship in otolaryngology.

BACKGROUND: Historically, graduating head and neck (HN) fellows outpace available academic HN positions, resulting in a highly competitive job market. We identified factors that associate with full-time academic HN positions post-HN fellowship. METHODS: Graduates of American Head and Neck Society (AHNS)-accredited fellowships from 2005 to 2017 (n = 356) were extracted from the AHNS website. RESULTS: From 2015 to 2017, the supply-demand mismatch for academic HN jobs improved. Of the 57.3% (n = 204) of graduating HN fellows who entered academia, 64% (n = 130) trained at just 10 fellowship institutions, 47% (n = 94) attended OHNS residency at an NIH top 40 funded institution, and 54% (n = 111) attended OHNS residency at an AHNS-accredited institution offering HN fellowship. After multivariate regression, number of manuscripts (OR = 1.14; p = 0.01) was significantly associated with initial academic job post-fellowship. CONCLUSION: The recent improvement in supply-demand mismatch for academic jobs is promising for future HN fellows interested in academia.