Outcomes of Acute Respiratory Failure in Patients With Cancer in the United States.

OBJECTIVE: To determine the epidemiological effect-magnitude and outcomes of patients with cancer vs those without cancer who are hospitalized with acute respiratory failure (ARF). PATIENTS AND METHODS: We reviewed hospitalizations within the National Inpatient Sample (NIS) database between January 1, 2016, and December 31, 2018. Patients were classified based on a diagnosis of solid-organ cancer, hematologic cancer, or no cancer. Noninvasive positive pressure ventilation (NIPPV) failure was defined as patients who initially received NIPPV and had progression to invasive mechanical ventilation. Weighted samples were used to derive population estimates. RESULTS: During the study period, there were an estimated 8,837,209 admissions with ARF in the United States, 8.9% (783,625) of which had solid-organ cancer and 2.0% (176,095) had hematologic cancers. Annually, 319,907 patients with cancer are admitted with ARF, with 27.3% (87,302) requiring invasive mechanical ventilation and 10.0% (31,998) requiring NIPPV. In-hospital mortality was higher in patients with cancer vs those without cancer (24.0% [76,813] vs 12.3% [322,465]; P<.001), and this proprotion persisted when stratified by the highest method of oxygen delivery. Patients with cancer had longer hospital length of stay (7.0 days [3.0 to 12.0 days] vs 5.0 days [3.0 to 10.0 days]; P<.001) and were more likely to have NIPPV failure (14.9% [3,992] vs 12.8% [41,875]). Compared with those with solid-organ cancer, patients with hematologic cancers experienced worse outcomes. The association between underlying cancer diagnosis and outcomes remained consistent when adjusted for age, sex, and comorbidities. CONCLUSION: In the United States, patients with cancer account for over 10% of ARF hospital admissions (959,720 of 8,837,209). They experience an approximately 2-fold higher mortality versus those without cancer. Those with hematologic cancers appear to experience worse outcomes than patients with solid-organ cancers.

Prediction Model for Neurogenic Bladder Recovery One Year After Traumatic Spinal Cord Injury.

INTRODUCTION: Neurogenic bladder is a common complication after spinal cord injury (SCI) that carries substantial burdens on the inflicted individual. The objective of this study is to build a prediction model for neurogenic bladder recovery 1 year after traumatic SCI. METHODS: We queried the National Spinal Cord Injury Model Systems database for patients with traumatic SCI who had neurogenic bladder at the time of injury. The primary outcome of interest was the complete recovery of bladder function at 1 year. Multiple imputations were performed to generate replacement values for missing data, and the final imputed data were used for our analysis. A multivariable odds logistic regression model was developed for complete bladder recovery at 1 year. RESULTS: We identified a total of 2515 patients with abnormal bladder function at baseline who had an annual follow-up. A total of 417 patients (16.6%) recovered bladder function in 1 year. Predictors of complete bladder recovery included the following baseline parameters: sacral sensation, American Spinal Injury Association (ASIA) impairment score, bowel function at baseline, voluntary sphincter contraction, anal sensation, S1 motor scores, and the number of days in the rehabilitation facility. The model performed with a discriminative capacity of 90.5%. CONCLUSIONS: We developed a prediction model for the probability of complete bladder recovery 1 year after SCI. The model performed with a high discriminative capacity. This prediction model demonstrates potential utility in the counseling, research allocation, and management of individuals with SCI.

Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages.

Pituitary neuroendocrine tumors (PitNETs) are common intracranial tumors comprising numerous subtypes whose metabolic profiles have yet to be fully examined. The present in silico study analyzed single-cell expression profiles from 2311 PitNET cells from various lineages and subtypes to elucidate differences in metabolic activities. Gonadotroph tumors exhibited high activities with histidine metabolism, whose activity is low in lactotroph tumors. Somatotroph tumors enriched for sulfur and tyrosine metabolism, while lactotroph tumors were enriched metabolism of nitrogen, ascorbate, and aldarate. PIT-1 lineage tumors exhibited high sulfur and thiamine metabolism. These results set precedence for further translational studies for subgroup/lineage specific targeted therapies.

Characterization of neurosurgery fellowship directors: strengths and room for improvement.

BACKGROUND: While many current and aspiring neurosurgeons are looking to supplement their clinical practices with leadership positions, there has not been research characterizing current leadership positions such as fellowship directors (FDs) in neurosurgery to provide insight into objective qualities that distinguish these individuals from the rest of the workforce. This study aims to outline the current characterization of spine, endovascular, pediatric, and stereotactic and functional neurosurgery fellowship directors. METHODS: A list of accredited neurosurgical fellowship programs located within the US and their respective directors was acquired through the AANS Neurosurgical Fellowship Training Program Directory. This study obtained educational, demographic, institutional, research, and professional background variables through curriculum vitae, institutional profiles, personal websites, emails, and the Scopus database. RESULTS: Of the 152 FDs analyzed, 143 (94%) were male, 9 (6%) were female, and the mean age was 52.2±8.5 years. The mean Scopus H-index and mean total citations for all FDs was 27±15.7 and 3782.1±4526.7, respectively. Furthermore, the majority of FDs were Caucasian (69.1%), followed by Asian (20.4%), Black or African American (5.3%), and Hispanic or Latino (5.3%). The mean number of years as FD was 8.9±7.2. CONCLUSIONS: This analysis showed neurosurgery fellowship directors are primarily Caucasian males. Neurosurgery training pedigree seems to play a role in FD attainment. In addition, these directors are largely distinguished by their research productivity. This analysis serves as an insight into the current climate for students aspiring to serve as academic leaders in the field of neurosurgery.

Update on the limited sensitivity of computed tomography relative to RT-PCR for COVID-19: a systematic review.

Purpose: The global and ongoing COVID-19 outbreak has compelled the need for timely and reliable methods of detection for SARS-CoV-2 infection. Although reverse transcription-polymerase chain reaction (RT-PCR) has been widely accepted as a reference standard for COVID-19 diagnosis, several early studies have suggested the superior sensitivity of computed tomography (CT) in identifying SARS-CoV-2 infection. In a previous systematic review, we stratified studies based on risk for bias to evaluate the true sensitivity of CT for detecting SARS-CoV-2 infection. This study revisits our prior analysis, incorporating more current data to assess the sensitivity of CT for COVID-19. Material and methods: The PubMed and Google Scholar databases were searched for relevant articles published between 1 January 2020, and 25 April 2021. Exclusion criteria included lack of specification regarding whether the study cohort was adult or paediatric, whether patients were symptomatic or asymptomatic, and not identifying the source of RT-PCR specimens. Ultimately, 62 studies were included for systematic review and were subsequently stratified by risk for bias using the QUADAS-2 quality assessment tool. Sensitivity data were extracted for random effects meta-analyses. Results: The average sensitivity for COVID-19 reported by the high-risk-of-bias studies was 68% [CI: 58, 80; range: 38-96%] for RT-PCR and 91% [CI: 87, 96; range: 47-100%] for CT. The average sensitivity reported by the low-risk-of-bias studies was 84% [CI: 0.75, 0.94; range: 70-97%] for RT-PCR and 78% [CI: 71, 0.86; range: 44-92%] for CT. Conclusions: On average, the high-risk-of bias studies underestimated the sensitivity of RT-PCR and overestimated the sensitivity of CT for COVID-19. Given the incorporation of recently published low-risk-of-bias articles, the sensitivities according to low-risk-of-bias studies for both RT-PCR and CT were higher than previously reported.

Impact of age-related T cell dynamics on the identification of biomarkers predictive of immunotherapy discontinuation: a prospective cohort study.

BACKGROUND: The impact of biologic aging on immune checkpoint inhibitor (ICI) toxicity and efficacy is underexplored in metastatic melanoma (MM). In peripheral blood T-lymphocytes (PBTLs), biologic aging is characterized by changes in T-cell composition and cellular senescence. Whether indicators of PBTL biologic aging vary in MM patients or can be used to predict premature ICI discontinuation (pID) is unknown. METHODS: We prospectively collected PBTLs from 117 cancer-free controls and 46 MM patients scheduled to begin pembrolizumab or nivolumab monotherapy. 74 mRNAs indicative of T-cell subsets, activation, co-stimuation/inhibition and cellular senescence were measured by Nanostring. Relationships between each mRNA and chronologic age were assessed in patients and controls. Candidate biomarkers were identified by calculating the hazard ratio (HR) for pID in patients divided into low and high groups based on log-transformed mRNA levels or the magnitude by which each mRNA measurement deviated from the control trend (Δage). Area under the curve (AUC) analyses explored the ability of each biomarker to discriminate between patients with and without pID at 6 months and 1 year. RESULTS: Fifteen mRNAs correlated with chronologic age in controls, including markers of T-cell subsets, differentiation, cytokine production and co-stimulation/inhibition. None of these mRNAs remained correlated with age in patients. Median follow-up was 94.8 (1.6-195.7) weeks and 35 of 46 patients discontinued therapy (23 progression, 7 toxicity, 5 comorbidity/patient preference). Elevated pre-therapy CD8A (HR 2.2[1.1-4.9]), CD45RB (HR 2.9[1.4-5.8]) and TNFRSF14 (HR 2.2[1.1-4.5]) levels predicted pID independent of Δage-correction. CD3ε, CD27 and FOXO1 predicted pID only after Δage-correction (HR 2.5[1.3-5.1]; 3.7[1.8-7.8]; 2.1[1.1-4.3]). AUC analysis identified Δage-CD3ε and -CD27 as candidate predictors of pID (AUC=0.73; 0.75). CONCLUSIONS: Correlations between transcriptional markers of PBTL composition and chronologic age are disrupted in MM. Correcting for normal, age-related trends in biomarker expression unveils new biomarker candidates predictive of ICI outcomes.