-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.

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.

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.

Quality appraisal of clinical practice guidelines for the evaluation and management of primary hyperparathyroidism.

PURPOSE: Multiple groups have created clinical practice guidelines (CPGs) for the management of primary hyperparathyroidism (PHPT). This report provides a rigorous quality assessment using the Appraisal of Guidelines for Research & Evaluation Instrument (AGREE II) to identify high-performing guidelines and areas for improvement. METHODS: A systematic review was conducted to isolate CPGs addressing the management of PHPT. Guideline data was extracted and quality ratings were assigned by four independent reviewers. Intraclass correlation coefficients (ICC) were calculated to ensure interrater reliability. RESULTS: Twelve guidelines were assessed. The American Association of Endocrine Surgeons (AAES) guideline had the highest mean scaled score across all domains (73.6 ± 31.4%). No other published guideline achieved a "high" quality designation. The highest scoring domain was "clarity of presentation" (mean 60.5 ± 26.5%). The lowest scoring domain was "applicability" (mean 19.8 ± 18.2%). Scoring reliability was excellent, with ICC ≥ 0.89 for all AGREE II 6 domains. CONCLUSION: Although several working groups have developed guidelines to address PHPT management, only those published by the AAES meet all methodologic quality criteria necessary to ensure incorporation of recommendations into clinical practice. Future guidelines would benefit from the development of tools, resources, monitoring criteria that enhance applicability.

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.

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.

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.

Diverse Role of blaCTX-M and Porins in Mediating Ertapenem Resistance among Carbapenem-Resistant Enterobacterales.

Among carbapenem-resistant Enterobacterales (CRE) are diverse mechanisms, including those that are resistant to meropenem but susceptible to ertapenem, adding further complexity to the clinical landscape. This study investigates the emergence of ertapenem-resistant, meropenem-susceptible (ErMs) Escherichia coli and Klebsiella pneumoniae CRE across five hospitals in San Antonio, Texas, USA, from 2012 to 2018. The majority of the CRE isolates were non-carbapenemase producers (NCP; 54%; 41/76); 56% of all NCP isolates had an ErMs phenotype. Among ErMs strains, E. coli comprised the majority (72%). ErMs strains carrying blaCTX-M had, on average, 9-fold higher copies of blaCTX-M than CP-ErMs strains as well as approximately 4-fold more copies than blaCTX-M-positive but ertapenem- and meropenem-susceptible (EsMs) strains (3.7 vs. 0.9, p < 0.001). Notably, carbapenem hydrolysis was observed to be mediated by strains harboring blaCTX-M with and without a carbapenemase(s). ErMs also carried more mobile genetic elements, particularly IS26 composite transposons, than EsMs (37 vs. 0.2, p < 0.0001). MGE- ISVsa5 was uniquely more abundant in ErMs than either EsMs or ErMr strains, with over 30 more average ISVsa5 counts than both phenotype groups (p < 0.0001). Immunoblot analysis demonstrated the absence of OmpC expression in NCP-ErMs E. coli, with 92% of strains lacking full contig coverage of ompC. Overall, our findings characterize both collaborative and independent efforts between blaCTX-M and OmpC in ErMs strains, indicating the need to reappraise the term "non-carbapenemase (NCP)", particularly for strains highly expressing blaCTX-M. To improve outcomes for CRE-infected patients, future efforts should focus on mechanisms underlying the emerging ErMs subphenotype of CRE strains to develop technologies for its rapid detection and provide targeted therapeutic strategies.

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.

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.

Comparison of helicopter and ground transportation in pediatric trauma patients.

BACKGROUND: Decision making regarding transportation mode after a traumatic injury may have a significant impact on outcomes, due to differences in time to definitive care. The objective of this study was to determine if transport mode had an impact on in-hospital mortality and discharge disposition in pediatric trauma patients. METHODS: Data were abstracted from the National Trauma Data Bank from 2007 to 2016 comparing helicopter and ground transportation modes effects on mortality and discharge outcomes. The primary outcome was in-hospital death, while the secondary outcome was discharge home without services (DCHWOS). Analyses included logistic regression modeling and propensity score matching. RESULTS: Significant variables from univariate analysis were included in the multivariate, propensity-matched regression model. Pediatric trauma patients transported by helicopter had lower odds of mortality (OR 0.69 [0.64,0.75]) and higher odds of DCHWOS (1.29 [1.20,1.39]). There were no differences in overall mechanism, but individual injury patterns showed higher odds of mortality. CONCLUSION: Critical decisions regarding triage of patients by different modes of transport occur every day. This study supports the current literature on the topic and shows a potential additional benefit of a meaningful discharge outcome for those transported by helicopter. IMPACT: This study may impact prehospital triage decision making process for pediatric trauma patients on mortality. Prehospital transport mode may contribute to pediatric trauma discharge outcomes. Highlights the need for future research regarding non-clinical data that is unable to be abstracted from national databases (e.g., family dynamics, insurance status, weather, access to post-discharge resources).

Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities.

Artificial intelligence (AI) offers tremendous potential to transform neonatology through improved diagnostics, personalized treatments, and earlier prevention of complications. However, there are many challenges to address before AI is ready for clinical practice. This review defines key AI concepts and discusses ethical considerations and implicit biases associated with AI. Next we will review literature examples of AI already being explored in neonatology research and we will suggest future potentials for AI work. Examples discussed in this article include predicting outcomes such as sepsis, optimizing oxygen therapy, and image analysis to detect brain injury and retinopathy of prematurity. Realizing AI's potential necessitates collaboration between diverse stakeholders across the entire process of incorporating AI tools in the NICU to address testability, usability, bias, and transparency. With multi-center and multi-disciplinary collaboration, AI holds tremendous potential to transform the future of neonatology.

Development and validation of a pediatric model predicting trauma-related mortality.

OBJECTIVES: To develop a prediction model of mortality in pediatric trauma-based injuries. Our secondary objective was to transform this model into a translational tool for clinical use. STUDY DESIGN: A retrospective cohort study of children ≤ 18 years was derived from the National Trauma Data Bank between the years of 2007 to 2015. The goal was to identify clinical or physiologic variables that would serve as predictors for pediatric death. Data was split into a development cohort (80%) to build the model and then tested in an internal validation cohort (20%) and a temporal cohort. The area under the receiver operating characteristic curve (AUC) was assessed for the new model. RESULTS: In 693,192 children, the mortality rate was 1.4% (n = 9,785). Most subjects were male (67%), White (65%), and incurred an unintentional injury (92%). The proposed model had an AUC of 96.4% (95% CI: 95.9%-96.9%). In contrast, the Injury Severity Score yielded an AUC of 92.9% (95% CI: 92.2%-93.6%), while the Revised Trauma Score resulted in an AUC of 95.0% (95% CI: 94.4%-95.6%). CONCLUSION: The TRAGIC + Model (Temperature, Race, Age, GCS, Injury Type, Cardiac-systolic blood pressure + Mechanism of Injury and Sex) is a new pediatric mortality prediction model that leverages variables easily obtained upon trauma admission.

Epidemiology and Management of Adult Laryngeal Trauma: An Analysis of the National Trauma Data Bank.

INTRODUCTION: Laryngeal injuries are rare but life-threatening airway emergencies. Increased understanding of the epidemiology of these injuries can inform treatment and improve outcomes. We aimed to characterize the demographics and management of adult laryngeal trauma. METHODS: The National Trauma Data Bank (NTDB) was queried from 2007 to 2015 for patients ≥18 years old with laryngeal trauma. Patient demographics, injury characteristics, and treatment course were collected. Outcomes were assessed via multivariate logistic regression. RESULTS: From 7.3 million patients, 6,890 (0.1%) patients with laryngeal trauma were identified. Eighty-five percent of patients were male, and the median age was 40. Of these patients, 343 (5.0%) were dead on arrival and of the remaining patients, 510 (7.8%) of patients were deceased at discharge. Common concomitant injuries included facial fractures (27%), intracranial injuries (21%), and rib and sternum fractures (19%). The most common cause of injury was motor vehicle accident (26%), followed by assault with firearms/explosives (12%) and assault with cutting instruments (8%). Forty-three percent of patients received mechanical ventilation and 15% received surgical repair. After correcting for gender, age, and injury severity, firearm injuries (odds ratio [OR] 3.46, 95% CI: [2.88-4.15]) and cutting/piercing injuries (OR 2.23, 95% CI: [1.89-2.64]) were positively associated with the need for mechanical ventilation. Motor vehicle trauma (OR 0.63, 95% CI: [0.46-0.84]) was negatively associated with surgical repair while striking injuries (OR 1.61, 95% CI: [1.25-2.06]) were positively associated. Lastly, shorter time to tracheostomy was significantly associated with shorter ICU stays (p < 0.0001). CONCLUSION: This study is the largest epidemiologic study of laryngeal trauma to date and identifies the risk of surgical intervention with firearm and cutting injuries as well as the importance of earlier time to tracheostomy for ICU management.

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.

Impact of Race/Ethnicity and Insurance Status on Obstetric Outcomes: Secondary Analysis of the NuMoM2b Study.

OBJECTIVE: This study aimed to investigate the impact of race/ethnicity and insurance status on obstetric outcomes in nulliparous women. STUDY DESIGN: Secondary analysis of the Nulliparous Pregnancy Outcomes Study Monitoring Mothers-To-Be. Obstetric outcomes included the development of a hypertensive event during pregnancy, need for a cesarean section, delivery of a preterm neonate, and postpartum hemorrhage. RESULTS: Of 7,887 nulliparous women, 64.7% were non-Hispanic White (White), 13.4% non-Hispanic Black (Black), 17.8% Hispanic, and 4.1% were Asian. Black women had the highest rates of developing new-onset hypertension (32%) and delivering preterm (11%). Cesarean deliveries were the highest in Asian (32%) and Black women (32%). Individuals with government insurance were more likely to deliver preterm (11%) and/or experience hemorrhage after delivery. In multivariable analyses, race/ethnicity was associated with hypertension and cesarean delivery. More important, the adjusted odds ratios for preventable risk factors, such as obesity, diabetes, and severe anemia were greater than the adjusted odds ratios for race/ethnicity in terms of poor maternal outcome. CONCLUSION: Although disparities were observed between race/ethnicity and obstetric outcomes, other modifiable risk factors played a larger role in clinical differences. KEY POINTS: · Race or insurance alone had mixed associations with maternal morbidities.. · Race and insurance had low associations with maternal morbidities.. · Other, modifiable risk factors may be more important.. · Both social and biological factors impact health disparities..

Calcium and Phosphorus: All You Need to Know but Were Afraid to Ask.

Inadequate intake of calcium and phosphorus during the perinatal period can result in metabolic bone disease (MBD), characterized by decreased bone mass, altered bone mineralization, and increased risk for fractures. Preterm neonates have higher risk of developing MBD. Treating MBD involves ensuring adequate calcium and phosphorus intake, early fortification, and vitamin D supplementation. Health care providers should closely monitor nutrient intake, postnatal growth, and screening of preterm neonates at risk for MBD. This review summarizes the critical roles of calcium and phosphorus in regulating bone physiology, how they regulate bone formation and resorption, and their influence on overall bone health.

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.

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.

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.