Disparities in Social Determinants of Health Among Patients Receiving Liver Transplant: Analysis of the National Inpatient Sample From 2016 to 2019.

Background Liver transplantation is the life-saving standard of care for those with end-stage liver disease. Unfortunately, many patients on the liver transplant list die waiting. Several studies have demonstrated significant differences based on disparities in race, gender, and multiple socioeconomic factors. We sought to evaluate recent disparities among patients receiving liver transplants using the latest available data from the National Inpatient Sample (NIS), the largest publicly available inpatient care database in the United States. Methods We performed an analysis of discharge data from the NIS between 2016 and 2019. We identified adult patients with chronic liver disease who underwent a liver transplant using the International Classification of Diseases, 10th revision (ICD-10) codes. Multivariate logistic regression was used to adjust for differences in race, gender, socioeconomic status, and comorbidities among those who received a liver transplant. Results A total of 24,595 liver transplants were performed over the study period. Female gender was independently associated with decreased transplant rates (adjusted odds ratio (AOR) 0.83, 95% confidence interval (CI), 0.78-0.89, P < 0.001). Compared to White patients, Black patients had decreased transplant rates (AOR 0.86, 95% CI, 0.75-0.99, P = 0.034), as did Native Americans (AOR 0.64; 95% CI, 0.42-0.97, P = 0.035). Hispanics and Asian Americans had increased rates of liver transplantation (AOR 1.16, 95% CI 1.02-1.32, P = 0.022, and 1.36, 95% CI 1.11-1.67, P = 0.003; respectively). The increase in income quartile was associated with an incremental increase in transplant rates. Additionally, patients with private insurance had much higher transplant rates compared to those with Medicare (AOR 2.50, 95% CI 2.31-2.70, P < 0.001) while patients without insurance had the lowest rates of transplantation (AOR 0.18, 95% CI 0.12-0.28, P < 0.001). Conclusions Our analysis demonstrates that race, gender, and other social determinants of health have significant impacts on the likelihood of receiving a liver transplant. Our study, on a national level, confirms previously described disparities in receiving liver transplantation. Patient-level studies are needed to better understand how these variables translate into differing liver transplantation rates.

Genome-encoded cytoplasmic double-stranded RNAs, found in C9ORF72 ALS-FTD brain, propagate neuronal loss.

Triggers of innate immune signaling in the CNS of patients with amyotrophic lateral sclerosis and frontotemporal degeneration (ALS/FTD) remain elusive. We report the presence of cytoplasmic double-stranded RNA (cdsRNA), an established trigger of innate immunity, in ALS-FTD brains carrying C9ORF72 intronic hexanucleotide expansions that included genomically encoded expansions of the G4C2 repeat sequences. The presence of cdsRNA in human brains was coincident with cytoplasmic TAR DNA binding protein 43 (TDP-43) inclusions, a pathologic hallmark of ALS/FTD. Introducing cdsRNA into cultured human neural cells induced type I interferon (IFN-I) signaling and death that was rescued by FDA-approved JAK inhibitors. In mice, genomically encoded dsRNAs expressed exclusively in a neuronal class induced IFN-I and death in connected neurons non-cell-autonomously. Our findings establish that genomically encoded cdsRNAs trigger sterile, viral-mimetic IFN-I induction and propagated death within neural circuits and may drive neuroinflammation and neurodegeneration in patients with ALS/FTD.

Loss to Follow-Up After Newborn Hearing Screening: Analysis of Risk Factors at a Massachusetts Urban Safety-Net Hospital.

OBJECTIVES: This study examines the unique factors that influence loss to follow-up after newborn hearing screening for patients at a Massachusetts urban safety-net hospital. We seek to characterize our patient population, investigate correlations between patient factors and rates of follow-up, and understand gaps in care. DESIGN: A retrospective chart review was conducted of patients born at an urban safety-net hospital from January 2015 through May 2018 who did not pass the newborn hearing screening in one or both ears. A total of 197 infants were included in our study. Outcomes of interest included rates and latency of follow-up appointments, infant demographics (sex, race, birth weight, risk factors for hearing loss), and maternal factors (age, marital status, smoking status, number of children). RESULTS: From January 2015 through May 2018, 17% (n = 34) of infants were lost to follow-up. Of those who attended an initial audiology evaluation, the median time between screening and appointment was 29 days. Newborns were 3.5 times at risk of being lost to follow-up if their mothers smoked during pregnancy compared to those whose mothers did not smoke. Further, newborns with multiple siblings in the home were less likely to utilize any audiological services. High-risk infants, such as those with an extended stay in the neonatal intensive care unit, were found to have higher rates of loss to follow-up. CONCLUSIONS: Our results indicate that patients at urban safety-net hospitals require increased support to decrease rates of loss to follow-up. In particular, strategies to aid mothers who smoke, have multiple children, or have high-risk infants can address gaps in care for newborns after hearing screening.

Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports.

Accurate, automated extraction of clinical stroke information from unstructured text has several important applications. ICD-9/10 codes can misclassify ischemic stroke events and do not distinguish acuity or location. Expeditious, accurate data extraction could provide considerable improvement in identifying stroke in large datasets, triaging critical clinical reports, and quality improvement efforts. In this study, we developed and report a comprehensive framework studying the performance of simple and complex stroke-specific Natural Language Processing (NLP) and Machine Learning (ML) methods to determine presence, location, and acuity of ischemic stroke from radiographic text. We collected 60,564 Computed Tomography and Magnetic Resonance Imaging Radiology reports from 17,864 patients from two large academic medical centers. We used standard techniques to featurize unstructured text and developed neurovascular specific word GloVe embeddings. We trained various binary classification algorithms to identify stroke presence, location, and acuity using 75% of 1,359 expert-labeled reports. We validated our methods internally on the remaining 25% of reports and externally on 500 radiology reports from an entirely separate academic institution. In our internal population, GloVe word embeddings paired with deep learning (Recurrent Neural Networks) had the best discrimination of all methods for our three tasks (AUCs of 0.96, 0.98, 0.93 respectively). Simpler NLP approaches (Bag of Words) performed best with interpretable algorithms (Logistic Regression) for identifying ischemic stroke (AUC of 0.95), MCA location (AUC 0.96), and acuity (AUC of 0.90). Similarly, GloVe and Recurrent Neural Networks (AUC 0.92, 0.89, 0.93) generalized better in our external test set than BOW and Logistic Regression for stroke presence, location and acuity, respectively (AUC 0.89, 0.86, 0.80). Our study demonstrates a comprehensive assessment of NLP techniques for unstructured radiographic text. Our findings are suggestive that NLP/ML methods can be used to discriminate stroke features from large data cohorts for both clinical and research-related investigations.

Prevalence and natural history of obstructive sleep apnea in pediatric patients with laryngomalacia.

OBJECTIVE: Laryngomalacia is the most common cause of infant stridor, and obstructive sleep apnea (OSA) is sometimes found concurrently in patients with laryngomalacia. OSA has been shown to improve after surgical treatment of laryngomalacia, but the majority of laryngomalacia patients have spontaneous resolution of symptoms. It is unknown whether their comorbid OSA also resolves. This study seeks to define the incidence of OSA in laryngomalacia and assess for resolution of OSA with polysomnography data. METHODS: Retrospective cohort study at a tertiary care academic medical center. All pediatric patients with diagnoses of laryngomalacia or stridor were reviewed, and patients with laryngomalacia confirmed by Otolaryngologist exam were included. All patients with laryngomalacia were recommended to undergo polysomnography. RESULTS: A total of 108 patients had laryngomalacia confirmed by an Otolaryngologist. Of those patients, 56 completed a polysomnogram, and 44 (79%) were diagnosed with OSA. Among the OSA patients, 34 had no surgery, 5 underwent supraglottoplasty, and 5 underwent adenoidectomy or adenotonsillectomy. Follow-up polysomnograms were performed for 9 non-surgical patients, 4 supraglottoplasty patients, and 4 adenoidectomy or adenotonsillectomy patients. Mean change in AHI was -2.81 without surgery, -8.18 after supraglottoplasty, and -2.94 after adenoidectomy or adenotonsillectomy. CONCLUSION: OSA is often present in patients who have laryngomalacia, and the proportion in this population was higher than previous reports. The only significant predictor for obstructive sleep apnea was race, specifically Black/African American. Among patients with follow-up polysomnograms, the largest OSA improvement was in supraglottoplasty patients, but all patients improved.

Pediatric button battery ingestion: Publication trends in the literature.

OBJECTIVE: Examine literature for evidence of changes in button battery (BB) research over time including: amount and rate of literature output, levels of evidence, and the location of the research. METHODS: Literature review of all peer-reviewed button battery literature available online through Pubmed and Embase was performed. Inclusion criteria were applied to ensure relevance. Publications were grouped into 4 time periods. Various study characteristics were compared between groups. RESULTS: A total of 255 original research studies were reviewed. A significant increase in study number was found with a 664% increase comparing 2009-2018 and 1977-1988 (p < 0.001) and a 187% increase comparing 2009-2018 and all previous years. Average author number significantly increased over the study period (range: 2.8 to 4.4; p < 0.001). Case report or case series were consistently the most common type of study design (range: 56.5% to 84.0%). Level of evidence has remained at 4-5 for the majority of studies (range: 87% to 92.1%). First author specialty remained stable over time, with non-otolaryngologist surgeons being the most common authors, followed by pediatricians and otolaryngologists (28.8%, 18.9%, 18.5%, respectively). Location of research has diversified, with US publications falling from 50% to 29.5% of all studies when comparing 1977-1988 to 2009-2018 time periods. CONCLUSIONS: Button battery ingestion in the pediatric population has been an important topic of discussion among various medical specialties due to a rise in morbidity and mortality surrounding these ingestions. Despite the increase in number of studies and authors, the strength of these studies has remained largely unchanged.