Bystander activated CD8+ T cells mediate neuropathology during viral infection via antigen-independent cytotoxicity

Although many viral infections are linked to the development of neurological disorders, the mechanism governing virus-induced neuropathology remains poorly understood, particularly when the virus is not directly neuropathic. Using a mouse model of Zika virus (ZIKV) infection, we found that the severity of neurological disease did not correlate with brain ZIKV titers, but rather with infiltration of bystander activated NKG2D+CD8+ T cells. Antibody depletion of CD8 or blockade of NKG2D prevented ZIKV-associated paralysis, suggesting that CD8+ T cells induce neurological disease independent of TCR signaling. Furthermore, spleen and brain CD8+ T cells exhibited antigen-independent cytotoxicity that correlated with NKG2D expression. Finally, viral infection and inflammation in the brain was necessary but not sufficient to induce neurological damage. We demonstrate that CD8+ T cells mediate virus-induced neuropathology via antigen-independent, NKG2D-mediated cytotoxicity, which may serve as a therapeutic target for treatment of virus-induced neurological disease.

The hospital frailty risk score as a predictor of readmission after ERCP

BACKGROUND AND AIMS

The 30-day readmission rate is a nationally recognized quality measure with nearly one-fifth of patients being readmitted. This study aims to evaluate frailty, as measured by the hospital frailty risk score (HFRS), as a prognostic indicator for 30-day readmission after inpatient ERCP.

METHODS

We analyzed weighted discharge records from the 2017 Nationwide Readmissions Database (NRD) to identify patients undergoing ERCP between 01/01/2017 and 11/30/2017. Our primary outcome was the 30-day unplanned readmission rate in frail (defined as HFRS > 5) against non-frail (HFRS < 5) patients. A mixed effects multivariable logistic regression method was employed.

RESULTS

Among 68,206 weighted hospitalized patients undergoing ERCP, 31.3% were frail. Frailty was associated with higher 30-day readmission (OR 1.23, 95% CI [1.16-1.30]). Multivariable analysis showed a greater risk of readmission with cirrhosis (OR 1.26, 95% CI [1.10-1.45]), liver transplantation (OR 1.36, 95% CI [1.08-1.71]), cancer (OR 1.58, 95% CI [1.48-1.69]), and male gender (OR 1.24, 95% CI [1.18-1.31]). Frail patients also had higher mortality rate (1.8% vs 0.6%, p < 0.01)], longer LOS during readmission (6.7 vs 5.6 days, p < 0.01), and incurred more charges from both hospitalizations ($175,620 vs $132,519, p < 0.01). Sepsis was the most common primary indication for both frail and non-frail readmissions but accounted for a greater percentage of frail readmissions (17.9% vs 12.4%, p < 0.01).

CONCLUSIONS

Frailty is associated with higher readmission rates, mortality, LOS, and hospital charges for admitted patients undergoing ERCP. Sepsis is the leading cause for readmission. Independent risk factors for readmission include liver transplantation, cancer, cirrhosis, and male gender.

Dose-Dependent Atrophy in Bilateral Amygdalae and Nuclei After Brain Radiation Therapy and Its Association With Mood and Memory Outcomes on a Longitudinal Clinical Trial

PURPOSE

Amygdalae are bilateral, almond-shaped structures located anterior to the hippocampi, critical to limbic system functions of emotional processing and memory consolidation. The amygdalae are heterogeneous, composed of multiple nuclei with distinct structural and functional properties. We prospectively assessed associations between longitudinal changes in amygdala morphometry, including component nuclei, and functional outcomes in patients with primary brain tumors receiving radiation therapy (RT).

METHODS AND MATERIALS

On a prospective longitudinal trial, 63 patients underwent high-resolution volumetric brain magnetic resonance imaging and testing for mood (Beck Depression Inventory and Beck Anxiety Inventory), memory (Brief Visuospatial Memory Test-Revised [BVMT] Total Recall and Delayed Recall; Hopkins Verbal Learning Test-Revised [HVLT] Total Recall and Delayed Recall), and health-related quality-of-life outcomes (Functional Assessment of Cancer Therapy-Brain Social/Family Well-Being and Emotional Well-Being) at baseline and 3, 6, and 12 months after RT. Amygdalae, including 8 nuclei, were autosegmented bilaterally using validated techniques. Linear mixed-effects models assessed longitudinal change in amygdalae and nuclei volumes and associations with dose and outcomes. Wilcoxon rank sum tests compared amygdala volume change between patient groups with worse and more stable outcomes at each time point.

RESULTS

Atrophy was found in the right amygdala at 6 months (P = .001) and the left amygdala at 12 months (P = .046). A higher dose was associated with atrophy of the left amygdala (P = .013) at 12 months. The right amygdala showed dose-dependent atrophy at 6 months (P = .016) and 12 months (P = .001). Worse BVMT-Total, HVLT-Total, and HVLT-Delayed performance was associated with smaller left lateral (P = .014, P = .004, and P = .007, respectively) and left basal (P = .034, P = .016, and P = .026, respectively) nuclei volumes. Increased anxiety at 6 months was associated with greater combined (P = .031) and right (P = .007) amygdala atrophy. Greater left amygdala atrophy (P = .038) was noted in patients with decreased emotional well-being at 12 months.

CONCLUSIONS

Bilateral amygdalae and nuclei undergo time- and dose-dependent atrophy after brain RT. Atrophy in amygdalae and specific nuclei was associated with poorer memory, mood, and emotional well-being. Amygdalae-sparing treatment planning may preserve neurocognitive and neuropsychiatric outcomes in this population.

Natural Language Processing Identification of Symptoms in Emergency Department Visits in Patients Receiving Radiation

PURPOSE/OBJECTIVE(S)

Patients undergoing radiotherapy (RT) for cancer often require emergency department (ED) attention with possible hospitalization. Designing strategies to mitigate hospital admissions requires understanding the causal symptoms to tailor interventional strategies. Natural language processing (NLP) has previously been shown to accurately identify documented symptoms and may help characterize factors contributing to admission. The objective of this study was to use NLP to identify documented symptoms during ED visits and their association with subsequent hospital admission of patients undergoing RT.

MATERIALS/METHODS

A de-identified, single tertiary-care institution cohort of patients who received radiation between 2013 and 2022 was identified from the electronic health record using International Classification of Disease (ICD) and Current Procedural Terminology (CPT) codes. We applied a previously validated clinical Text Analysis and Knowledge Extraction System (cTAKES)-based NLP pipeline to extract Common Terminology Criteria for Adverse Events (CTCAE) encoded symptoms from ED encounter clinical notes. Chi-squared testing was used to compare demographics, and logistic regression was used to identify symptoms associated with subsequent admission from ED visits.

RESULTS

We identified 14,007 patients who received radiation, of whom 270 (1.9%) experienced 302 ED visits during their radiation course. 141 (46.7%) of ED visits resulted in an admission. Among patients with an ED encounter, there were no differences in admission rates based on primary language (p = 0.771), sex (p = 0.824), marital status (p = 0.753), race (p = 0.222), or age (p = 0.123). In admitted patients, the top 5 symptoms were pain (94.3%), nausea (92.1%), vomiting (73.7%), constipation (70.9%), and weakness (63.8%). In patients who did not require admission, the most common symptoms were pain (84.5%), nausea (67.1%), vomiting (47.2%), headache (36.6%), and weakness (35.4%). The 10 symptoms most associated with admission from the ED based on logistic regression were malaise (OR 21.7, [95% CI 10.1 - 51.0]), lethargy (19.1, [8.5 - 51.3]), flushing (15.7, [8.6 - 30.4]), agitation (12.4, [3.5 - 78.7]), somnolence (10.3, [4.7 - 25.9]), fall (8.5, [3.7 - 23.2]), fatigue (7.8, [4.6 - 13.4]), constipation (6.9, [4.2 - 11.6]), nausea (5.8, [3.0 - 12.2]), and swelling (5.4, [3.3 - 9.1]).

CONCLUSION

Admitted and non-admitted ED patients with cancer seen in the ED during radiotherapy are documented to experience similar symptoms, but certain symptoms are associated with a higher risk of hospital admission. NLP may offer a mechanism for early, automated identification to facilitate supportive interventions for patients at high risk for admission during radiotherapy.

Evidence-Based Multivariate Normal Tissue Complication Probability (NTCP) Study of Domain-Specific Cognitive Decline after Partial Brain RT

PURPOSE/OBJECTIVE(S)

Beyond the hippocampus, there are no evidence-based dose constraints for eloquent brain structures which subserve memory and attention/processing speed. We performed a multivariate normal tissue complication probability analysis of post-RT neurocognitive decline, examining dosimetric predictors of eloquent brain regions.

MATERIALS/METHODS

Data were analyzed from a prospective longitudinal clinical trial. Patients (n = 78) with primary brain tumors receiving fractionated RT complete a comprehensive neurocognitive evaluation and high-resolution volumetric and diffusion MRI at baseline and 6 months post-RT. Image processing using robust, validated automated segmentation parcellated individual WM tracts, cortical regions, and hippocampi. Well-validated neurocognitive tests including Delis-Kaplan Executive Function System and Wechsler Adult Intelligence Scale-IV coding (attention/processing), Boston Naming Test (language) and Hopkins Verbal Learning Test and Brief Visuospatial Memory Test (verbal/visuospatial memory) were assessed. Reliable change indices adjusted for practice effects (RCI-PE) were calculated for each patient between baseline and 6 months; a negative RCI-PE was scored as decline. Univariate logistic regression was performed with mean and max dose to structures of interest as well as clinical variables. Multivariate model building was performed using automated bootstrapped logistic regression, LASSO and random forest modeling.

RESULTS

On univariate analysis mean and max dose to multiple regions of the corpus callosum (CC) were correlated with attention/processing speed decline; most significantly in WAIS coding, including Dmax to the anterior CC (p = 0.011) and central CC (p = 0.010), and Dmax and Dmean to the mid anterior CC (p = 0.006 and 0.010). Mean dose to the left fornix was associated with decline in memory (p = 0.023, cutoff 12.9 Gy), as were increasing age and both concurrent and adjuvant chemotherapy. On multivariate analysis for attention, automated bootstrapped logistic regression showed the most frequently selected variable was mean dose to the mid anterior CC. Performance at nested cross-validation by AUC was 0.80 (0.75-0.84); LASSO model performance by AUC was 0.76 (0.72-0.81) with Dmean to the mid anterior CC being the most frequent variable. The top five most important variables in the Random Forest as ranked by mean decrease in Gini coefficient were mean dose to mid anterior CC, all white matter, combined CC and max dose to CC and posterior CC. Model performance by AUC was 0.66 (0.60-0.71).

CONCLUSION

Here, we present the first, to our knowledge, NTCP model for decline in attention/processing speed, along with dosimetric predictors of memory decline beyond the hippocampus. We found that after partial brain RT, dose to several ROIs significantly correlated with post-RT impairment. These data can guide future cognitive-sparing strategies for brain RT.

Neurocognitive Outcomes in Multiethnic Pediatric Brain Tumor Patients Treated With Proton Versus Photon Radiation

BACKGROUND

We analyzed post-radiation (RT) neurocognitive outcomes in an ethnically diverse pediatric brain tumor population undergoing photon radiotherapy (XRT) and proton radiotherapy (PRT).

PROCEDURE

Post-RT neurocognitive outcomes from 49 pediatric patients (37% Hispanic/Latino) with primary brain tumors were analyzed. Tests included cognitive outcomes, behavioral outcomes, and overall intelligence. For each outcome, proportion of patients with cognitive impairment (scores <1.5 SD) was calculated. The Fisher exact tests compared proportion of patients with impairment and t tests compared T-scores between XRT (n=32) and PRT (n=17) groups. Linear regression assessed associations between radiation modality and outcomes.

RESULTS

Median follow-up was 3.2 and 1.8 years in the XRT and PRT groups, respectively. The median RT dose was 54.0 Gy. We found impairment in 16% to 42% of patients across most neurocognitive domains except executive function. There was no difference in scores between XRT and PRT groups. Regression analyses revealed no association of neurocognitive outcomes with radiation modality. Non-Hispanic patients had better Verbal Comprehension Index and General Ability Index scores than Hispanic patients ( P <0.05).

CONCLUSIONS

Among pediatric patients with brain tumors receiving RT, all cognitive domains were affected except executive function. Radiation modality was not associated with neurocognitive outcomes. Hispanic patients may be more vulnerable to posttreatment cognitive effects that warrant further study.

Burden, Causes, and Outcomes of Hospitalization in Patients With Giant Cell Arteritis: A US National Cohort Study

OBJECTIVE

Giant cell arteritis (GCA) has a relapsing-remitting course and is associated with a high burden of comorbidities, leading to repeated hospitalizations. This study was undertaken to investigate the burden, risk factors, causes, and outcomes of hospitalization and readmission in GCA patients in a US national cohort.

METHODS

Using the 2017 US National Readmission Database, we identified adults ≥50 years of age hospitalized with GCA between January and June 2017, with at least 6 months of follow-up. We estimated the burden of hospitalization including 6-month risk of readmission, total days spent in hospital, and costs, annually. We examined patient-, hospital-, and index hospitalization-related factors for 6-month readmission and total days of hospitalization using binomial logistic regression.

RESULTS

Our study included 1,206 patients hospitalized with GCA (70% women, median age 77 years), with 13% of patients experiencing GCA-related ophthalmologic complications at index hospital admission. On follow-up, 3% died, and 34% of patients were readmitted within 6 months, primarily for infections (23%) and cardiovascular diseases (CVDs) (15%). Charlson comorbidity index (CCI) of ≥1, smoking, and obesity were associated with readmission. GCA patients spent a median of 5 days/year in hospital (interquartile range [IQR] 3-11), with those in the top quartile spending 19 days/year in hospital (IQR 14-26).

CONCLUSION

GCA patients frequently experience unplanned health care utilization, with 1 in 3 patients experiencing readmission within 6 months, and 3% dying within the follow-up period. Infection and CVDs are common causes of readmission and may be related to glucocorticoid exposure. Population health management strategies are required in these vulnerable GCA patients.

Apolipoprotein A1 Protects Against Necrotic Core Development in Atherosclerotic Plaques: PDZK1-Dependent High-Density Lipoprotein Suppression of Necroptosis in Macrophages

BACKGROUND

Atherosclerosis is a chronic disease affecting artery wall and a major contributor to cardiovascular diseases. Large necrotic cores increase risk of plaque rupture leading to thrombus formation. Necrotic cores are rich in debris from dead macrophages. Programmed necrosis (necroptosis) contributes to necrotic core formation. HDL (high-density lipoprotein) exerts direct atheroprotective effects on different cells within atherosclerotic plaques. Some of these depend on the SR-B1 (scavenger receptor class B type I) and the adapter protein PDZK1 (postsynaptic density protein/Drosophila disc-large protein/Zonula occludens protein containing 1). However, a role for HDL in protecting against necroptosis and necrotic core formation in atherosclerosis is not completely understood.

METHODS

Low-density lipoprotein receptor-deficient mice engineered to express different amounts of ApoA1 (apolipoprotein A1), or to lack PDZK1 were fed a high fat diet for 10 weeks. Atherosclerotic plaque areas, necrotic cores, and key necroptosis mediators, RIPK3 (receptor interacting protein kinase 3), and MLKL (mixed lineage kinase domain-like protein) were characterized. Cultured macrophages were treated with HDL to determine its effects, as well as the roles of SR-B1, PDZK1, and the PI3K (phosphoinositide 3-kinase) signaling pathway on necroptotic cell death.

RESULTS

Genetic overexpression reduced, and ApoA1 knockout increased necrotic core formation and RIPK3 and MLKL within atherosclerotic plaques. Macrophages were protected against necroptosis by HDL and this protection required SR-B1, PDZK1, and PI3K/Akt pathway. PDZK1 knockout increased atherosclerosis in LDLR^KO mice, increasing necrotic cores and phospho-MLKL; both of which were reversed by restoring PDZK1 in BM-derived cells.

CONCLUSIONS

Our findings demonstrate that HDL in vitro and ApoA1, in vivo, protect against necroptosis in macrophages and necrotic core formation in atherosclerosis, suggesting a pathway that could be a target for the treatment of atherosclerosis.

Impact of recurrent hospitalization for Clostridioides difficile on longitudinal outcomes in patients with inflammatory bowel diseases: a nationally representative cohort

BACKGROUND

Clostridioides difficile infection (CDI) is associated with poor outcomes in patients with inflammatory bowel diseases (IBD).

OBJECTIVES

We conducted a nationally representative cohort study to evaluate the impact of recurrent CDI (rCDI)-related hospitalization on longitudinal unplanned healthcare utilization in patients with IBD.

DESIGN

This was a retrospective cohort study that utilized the 2017 Nationwide Readmissions Database (NRD).

METHODS

We identified 13,446 patients with IBD, hospitalized at least twice from January to June 2017 and followed through December 2017; of these, 1,148 had CDI-related hospitalizations. We compared the annual burden of hospitalization and IBD-related surgery in IBD patients with rCDI-related admission versus single CDI-related admission (primary reference), and those with one or more CDI-related admission versus no CDI-related admission (secondary reference).

RESULTS

There were no significant differences in risk and burden of unplanned healthcare utilization (time spent in-hospital, 27 days versus 27 days, p = 0.62), 6-month readmission (63% versus 64.3%, p = 0.8) or IBD-related surgery in patients with recurrent (two or more) CDI-related hospitalizations versus single CDI-related admission. However, patients with ⩾1 CDI-related admission versus no CDI admissions experienced higher rate of 6-month readmission (61.1% versus 55.7%, p<.001), total days spent in the hospital per year (median: 26 days versus 21 days, p<.001), total cost across all hospitalizations per year ($212,524 versus $184,384, p < 0.01), and inpatient mortality (3.28% versus 1.81%, p = 0.01), without an increase in risk of IBD-related surgery (6.7% versus 6.4%, p = 0.79).

CONCLUSION

While patients with IBD hospitalized for CDI have poor longitudinal inpatient outcomes, recurrent admissions for CDI may not increase risk of adverse outcomes compared to one-time admission.

Association Between Primary Care Use Prior to Cancer Diagnosis and Subsequent Cancer Mortality in the Veterans Affairs Health System

IMPORTANCE

Primary care physicians (PCPs) are significant contributors of early cancer detection, yet few studies have investigated whether consistent primary care translates to improved downstream outcomes.

OBJECTIVE

To evaluate the association of prediagnostic primary care use with metastatic disease at diagnosis and cancer-specific mortality (CSM).

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used databases with primary care and referral linkage from multiple Veterans' Affairs centers from 2004 to 2017 and had a 68-month median follow-up. Analysis was completed between July 2021 and September 2022. Participants included veterans older than 39 years who had been diagnosed with 1 of 12 cancers. Inclusion criteria included known clinical staging, survival follow-up, cause of death, and receiving care at the Veterans Affairs health system (VA).

EXPOSURES

Prediagnostic PCP use, measured in the 5 years prior to diagnosis. PCP visits were binned into none (0 visits), some (1-4 visits), and annual (5 visits).

MAIN OUTCOMES AND MEASURES

Metastatic disease at diagnosis, cancer-specific mortality (CSM) for entire cohort and stratified by tumor subtype.

RESULTS

Among 245 425 patients representing 12 tumor subtypes, mean age was 65.8 (9.3) years, and the cohort skewed male (97.6%), and White (76.1%), with higher levels of comorbidity (58.6% with Charlson Comorbidity Index scores ≥2). Compared with no prior visit, some PCP use was associated with 26% decreased odds of metastatic disease at diagnosis (odds ratio [OR], 0.74; 95% CI, 0.71-0.76; P < .001) and 12% reduced risk of CSM (subdistribution hazard ratio [SHR], 0.88; 95% CI, 0.86-0.89; P < .001). Annual PCP use was associated with 39% decreased odds of metastatic disease (OR, 0.61; 95% CI, 0.59-0.63; P < .001) and 21% reduced risk of CSM (SHR, 0.79; 95% CI, 0.77-0.81; P < .001). Among tumor subtypes, prostate cancer had the largest effect size for prior PCP use on metastatic disease at diagnosis (OR for annual use, 0.32; 95% CI, 0.30-0.35; P < .001) and CSM (SHRfor annual use, 0.51; 95% CI, 0.48-0.55; P < .001).

CONCLUSIONS AND RELEVANCE

In this cohort study, increased primary care use before cancer diagnosis was associated with significant decreases in metastatic disease at diagnosis and cancer-related death, with potentially the greatest difference from annual use. PCPs play a vital role in cancer prevention, and additional resources should be allocated to assist these physicians.

Impact of Comorbid Psychiatric Disorders on Healthcare Utilization in Patients with Inflammatory Bowel Disease: A Nationally Representative Cohort Study

BACKGROUND AND AIMS

Patients with inflammatory bowel disease (IBD) frequently experience comorbid psychiatric disorders, which negatively impact quality of life. We characterized the longitudinal burden of hospitalization-related healthcare utilization in adults with IBD with and without comorbid anxiety, depression, or bipolar disorder.

METHODS

In the 2017 Nationwide Readmissions Database (NRD), we identified 40,177 patients with IBD who were hospitalized between January 1, 2017 and June 30, 2017 and who were followed until December 31, 2017. In this cohort, we compared the annual burden (i.e., total days spent in hospital), costs, risk of readmission, inpatient mortality, and IBD-related surgery in patients with and without comorbid psychiatric disorders (anxiety, depression, or bipolar disorder).

RESULTS

Of the 40,177 adults who were hospitalized for IBD, 25.7% had comorbid psychiatric disorders. Over a 10 month-long period of follow-up, patients with comorbid psychiatric disorders spent more days in the hospital (median, 7 days vs. 5 days, p < 0.01), experienced higher 30-day (31.3 vs. 25.4%; p < 0.01) and 90-day (42.6 vs. 35.3%, p < 0.01) readmission rates, and had higher hospitalization-related costs (median, $41,418 vs. $39,242, p < 0.01). However, they were less likely to undergo IBD-related procedures or surgeries. There were no differences in risk of mortality. On Cox proportional hazard analysis, the presence of comorbid psychiatric disorders was associated with a 16% higher risk of readmission (HR, 1.16; 95% CI, 1.13-1.20) and a 13% higher risk of severe IBD-related hospitalization (HR, 1.13; 95% CI, 1.08-1.16).

CONCLUSIONS

In adults with IBD, comorbid psychiatric disorders were independently associated with a higher burden and cost of hospitalization, without an increase in the risk of IBD-related surgery or procedures. Population-based interventions aimed at treating psychiatric comorbidities may decrease the risk of unplanned healthcare utilization.

Association Between Prostate-Specific Antigen Screening and Prostate Cancer Mortality Among Non-Hispanic Black and Non-Hispanic White US Veterans

Importance

Black men have higher prostate cancer incidence and mortality than non-Hispanic White men. However, Black men have been underrepresented in clinical trials of prostate-specific antigen (PSA) screening; thus, there is a lack of data to guide screening recommendations for this population.

Objective

To assess whether PSA screening is associated with reduced risk of prostate cancer-specific mortality (PCSM) among non-Hispanic Black men.

Design, Setting, and Participants

This retrospective cohort study used data from the US Veterans Health Administration Informatics and Computing Infrastructure for men aged 55 to 69 years who self-identified as non-Hispanic Black or non-Hispanic White and were diagnosed with intermediate-, high-, or very high-risk prostate cancer from January 1, 2004, to December 31, 2017. Data were analyzed from August 2021 to March 2022.

Exposures

Prostate-specific antigen screening rate, defined as the percentage of years in which PSA screening was conducted during the 5 years before diagnosis of prostate cancer.

Main Outcomes and Measures

The primary outcome was risk of PCSM among Black men and White men. The association between PSA screening and risk of PCSM was assessed using Fine-Gray regression analysis. Risk of PCSM was also assessed categorically among patients classified as having no prior PSA screening, some screening (less than annual), or annual screening in the 5 years before diagnosis.

Results

The study included 45 834 veterans (mean [SD] age, 62.7 [3.8] years), of whom 14 310 (31%) were non-Hispanic Black men and 31 524 (69%) were non-Hispanic White men. The PSA screening rate was associated with a lower risk of PCSM among Black men (subdistribution hazard ratio [sHR], 0.56; 95% CI, 0.41-0.76; P = .001) and White men (sHR, 0.58; 95% CI, 0.46-0.75; P = .001). On subset analysis, annual screening (vs some screening) was associated with a significant reduction in risk of PCSM among Black men (sHR, 0.65; 95% CI, 0.46-0.92; P = .02) but not among White men (sHR, 0.91; 95% CI, 0.74-1.11; P = .35).

Conclusions and Relevance

In this cohort study, PSA screening was associated with reduced risk of PCSM among non-Hispanic Black men and non-Hispanic White men. Annual screening was associated with reduced risk of PCSM among Black men but not among White men, suggesting that annual screening may be particularly important for Black men. Further research is needed to identify appropriate populations and protocols to maximize the benefits of PSA screening.

Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease

INTRODUCTION

Hospitalization is the primary driver of inflammatory bowel disease (IBD)-related healthcare costs and morbidity. Traditional prediction models have poor performance at identifying patients at highest risk of unplanned healthcare utilization. Identification of patients who are high-need and high-cost (HNHC) could reduce unplanned healthcare utilization and healthcare costs.

METHODS

We conducted a retrospective cohort study in adult patients hospitalized with IBD using the Nationwide Readmissions Database (model derivation in the 2013 Nationwide Readmission Database and validation in the 2017 Nationwide Readmission Database). We built 2 tree-based algorithms (decision tree classifier and decision tree using gradient boosting framework [XGBoost]) and compared traditional logistic regression to identify patients at risk for becoming HNHC (patients in the highest decile of total days spent in hospital in a calendar year).

RESULTS

Of 47,402 adult patients hospitalized with IBD, we identified 4,717 HNHC patients. The decision tree classifier model (length of stay, Charlson Comorbidity Index, procedure, Frailty Risk Score, and age) had a mean area under the receiver operating characteristic curve (AUC) of 0.78 ± 0.01 in the derivation data set and 0.78 ± 0.02 in the validation data set. XGBoost (length of stay, procedure, chronic pain, drug abuse, and diabetic complication) had a mean AUC of 0.79 ± 0.01 and 0.75 ± 0.02 in the derivation and validation data sets, respectively, compared with AUC 0.55 ± 0.01 and 0.56 ± 0.01 with traditional logistic regression (peptic ulcer disease, paresthesia, admission for osteomyelitis, renal failure, and lymphoma) in derivation and validation data sets, respectively.

DISCUSSION

In hospitalized patients with IBD, simplified tree-based machine learning algorithms using administrative claims data can accurately predict patients at risk of progressing to HNHC.

Frailty Index as a Predictor of Readmission in Patients With Head and Neck Cancer

OBJECTIVE

To evaluate the predictive utility of the Hospital Frailty Risk Score (HFRS), a stratification tool based on the ICD-10 (International Classification of Disease, Tenth Revision), and other risk factors for 30-day readmissions and mortality in a nationally representative cohort.

STUDY DESIGN

Retrospective database review.

SETTING

Nationwide Readmissions Database (2017).

METHODS

Patients with head and neck cancer who underwent major surgical procedures were identified from the 2017 Nationwide Readmissions Database, representing 116 medical centers nationwide. Bivariate and multivariable logistic regression methods were used to identify factors associated with unplanned 30-day readmission, 30-day readmission mortality, and increased length of hospital stay.

RESULTS

A total of 14,420 patients underwent major head and neck cancer surgery. Unplanned readmission occurred in 11% of patients. The most common reasons for unplanned readmission were procedural complications (26.5%), sepsis (7.3%), and respiratory failure (3.9%). Elevated frailty index (HFRS ≥5) was identified in 22% of patients. Frailty was associated with higher 30-day readmission rates (18.0% vs 9.5%, P < .01), which held on multivariate modeling (odds ratio [OR], 1.59 [95% CI, 1.37-1.85]). Frail patients spent more days in the hospital (8.2 vs 6.8, P = .02) and incurred more charges across hospital stays ($275,000 vs $188,000, P < .01). Patients >75 years old (OR, 1.26 [1.03-1.55]) and patients with electrolyte abnormalities (OR, 1.25 [1.07-1.46] were significantly more likely to be readmitted.

CONCLUSION

In this head and neck cancer surgical population, HFRS significantly predicted unplanned readmission. HFRS is a potential risk stratification tool and should be compared with other methods and explored in other cancer populations. Beyond the challenge of identifying at-risk patients, future work should explore potential interventions aimed at mitigating readmission.

Evaluating High-Dimensional Machine Learning Models to Predict Hospital Mortality Among Older Patients With Cancer

PURPOSE

Older hospitalized cancer patients face high risks of hospital mortality. Improved risk stratification could help identify high-risk patients who may benefit from future interventions, although we lack validated tools to predict in-hospital mortality for patients with cancer. We evaluated the ability of a high-dimensional machine learning prediction model to predict inpatient mortality and compared the performance of this model to existing prediction indices.

METHODS

We identified patients with cancer older than 75 years from the National Emergency Department Sample between 2016 and 2018. We constructed a high-dimensional predictive model called Cancer Frailty Assessment Tool (cFAST), which used an extreme gradient boosting algorithm to predict in-hospital mortality. cFAST model inputs included patient demographic, hospital variables, and diagnosis codes. Model performance was assessed with an area under the curve (AUC) from receiver operating characteristic curves, with an AUC of 1.0 indicating perfect prediction. We compared model performance to existing indices including the Modified 5-Item Frailty Index, Charlson comorbidity index, and Hospital Frailty Risk Score.

RESULTS

We identified 2,723,330 weighted emergency department visits among older patients with cancer, of whom 144,653 (5.3%) died in the hospital. Our cFAST model included 240 features and demonstrated an AUC of 0.92. Comparator models including the Modified 5-Item Frailty Index, Charlson comorbidity index, and Hospital Frailty Risk Score achieved AUCs of 0.58, 0.62, and 0.71, respectively. Predictive features of the cFAST model included acute conditions (respiratory failure and shock), chronic conditions (lipidemia and hypertension), patient demographics (age and sex), and cancer and treatment characteristics (metastasis and palliative care).

CONCLUSION

High-dimensional machine learning models enabled accurate prediction of in-hospital mortality among older patients with cancer, outperforming existing prediction indices. These models show promise in identifying patients at risk of severe adverse outcomes, although additional validation and research studying clinical implementation of these tools is needed.

Trends and Projections in National United States Health Care Spending for Gastrointestinal Malignancies (1996-2030)

BACKGROUND & AIMS

The management of gastrointestinal (GI) cancers is associated with high health care spending. We estimated trends in United States (US) health care spending for patients with GI cancers between 1996 and 2016 and developed projections to 2030.

METHODS

We used economic data, adjusted for inflation, developed by the Institute for Health Metrics and Evaluations for the Disease Expenditure Project. Corresponding US age-adjusted prevalence of GI cancers was estimated from the Global Burden of Diseases Study. Prevalence-adjusted temporal trends in the US health care spending in patients with GI cancers, stratified by cancer site, age, and setting of care, were estimated using joinpoint regression, expressed as annual percentage change (APC) with 95% confidence intervals (CIs). Autoregressive integrated moving average models were used to project spending to 2030.

RESULTS

In 2016, total spending for GI cancers was primarily attributable to colorectal ($10.50 billion; 95% CI, $9.35-$11.70 billion) and pancreatic cancer ($2.55 billion; 95% CI, $2.23-$2.82 billion), and primarily for inpatient care (64.5%). Despite increased total spending, more recent per-patient spending for pancreatic (APC 2008-2016, -1.4%; 95% CI, -2.2% to -0.7%), gallbladder/biliary tract (APC 2010-2016, -4.3%; 95% CI, -4.8% to -3.8%), and gastric cancer (APC 2011-2016, -4.4%; 95% CI, -5.8% to -2.9%) decreased. Increasing price and intensity of care provision was the largest driver of higher expenditures. By 2030, it is projected more than $21 billion annually will be spent on GI cancer management.

CONCLUSIONS

Total spending for GI cancers in the US is substantial and projected to increase. Expenditures are primarily driven by inpatient care for colorectal cancer, although per-capita spending trends differ by GI cancer type.

Disparities in telemedicine during COVID-19

BACKGROUND

Oncology rapidly shifted to telemedicine in response to the COVID-19 pandemic. Telemedicine can increase access to healthcare, but recent research has shown disparities exist with telemedicine use during the pandemic. This study evaluated health disparities associated with telemedicine uptake during the COVID-19 pandemic among cancer patients in a tertiary care academic medical center.

METHODS

This retrospective cohort study evaluated telemedicine use among adult cancer patients who received outpatient medical oncology care within a tertiary care academic healthcare system between January and September 2020. We used multivariable mixed-effects logistic regression models to determine how telemedicine use varied by patient race/ethnicity, primary language, insurance status, and income level. We assessed geospatial links between zip-code level COVID-19 infection rates and telemedicine use.

RESULTS

Among 29,421 patient encounters over the study period, 8,541 (29%) were delivered via telemedicine. Several groups of patients were less likely to use telemedicine, including Hispanic (adjusted odds ratio [aOR] 0.86, p = 0.03), Asian (aOR 0.79, p = 0.002), Spanish-speaking (aOR 0.71, p = 0.0006), low-income (aOR 0.67, p < 0.0001), and those with Medicaid (aOR 0.66, p < 0.0001). Lower rates of telemedicine use were found in zip codes with higher rates of COVID-19 infection. Each 10% increase in COVID-19 infection rates was associated with an 8.3% decrease in telemedicine use (p = 0.002).

CONCLUSIONS

This study demonstrates racial/ethnic, language, and income-level disparities with telemedicine use, which ultimately led patients with the highest risk of COVID-19 infection to use telemedicine the least. Additional research to better understand actionable barriers will help improve telemedicine access among our underserved populations.

Evaluating Prostate-Specific Antigen Screening for Young African American Men With Cancer

BACKGROUND

Despite higher risks associated with prostate cancer, young African American men are poorly represented in prostate-specific antigen (PSA) trials, which limits proper evidence-based guidance. We evaluated the impact of PSA screening, alongside primary care provider utilization, on prostate cancer outcomes for these patients.

METHODS

We identified African American men aged 40-55 years, diagnosed with prostate cancer between 2004 and 2017 within the Veterans Health Administration. Inverse probability of treatment-weighted propensity scores were used in multivariable models to assess PSA screening on PSA levels higher than 20, Gleason score of 8 or higher, and metastatic disease at diagnosis. Lead-time adjusted Fine-Gray regression evaluated PSA screening on prostate cancer-specific mortality (PCSM), with noncancer death as competing events. All statistical tests were 2-sided.

RESULTS

The cohort included 4726 patients. Mean age was 51.8 years, with 84-month median follow-up. There were 1057 (22.4%) with no PSA screening prior to diagnosis. Compared with no screening, PSA screening was associated with statistically significantly reduced odds of PSA levels higher than 20 (odds ratio [OR] = 0.56, 95% confidence interval [CI] = 0.49 to 0.63; P < .001), Gleason score of 8 or higher (OR = 0.78, 95% CI = 0.69 to 0.88; P < .001), and metastatic disease at diagnosis (OR = 0.50, 95% CI = 0.39 to 0.64; P < .001), and decreased PCSM (subdistribution hazard ratio = 0.52, 95% CI = 0.36 to 0.76; P  < .001). Primary care provider visits displayed similar effects.

CONCLUSIONS

Among young African American men diagnosed with prostate cancer, PSA screening was associated with statistically significantly lower risk of PSA levels higher than 20, Gleason score of 8 or higher, and metastatic disease at diagnosis and statistically significantly reduced risk of PCSM. However, the retrospective design limits precise estimation of screening effects. Prospective studies are needed to validate these findings.

Impact of underlying malignancy on emergency department utilization and outcomes

PURPOSE

Cancer patients frequently utilize the emergency department (ED) for a variety of diagnoses both related to and unrelated to their cancer, yet ED outcomes for cancer patients are not well documented. This study sought to define risks and identify predictors for inpatient admission and hospital mortality among cancer patients presenting to the ED.

PATIENTS AND METHODS

We utilized the National Emergency Department Sample to identify patients with and without a diagnosis of cancer presenting to the ED between January 2016 and December 2018. We used multivariable mixed-effects logistic regression models to assess the influence of cancer on outcomes of hospital admission after the ED visit and hospital mortality for the whole patient cohort and individual presenting diagnoses.

RESULTS

There were 340 million weighted ED visits, of which 8.3 million (2.3%) were associated with a cancer diagnosis. Compared to non-cancer patients, patients with cancer had an increased risk of inpatient admission (64.7% vs. 14.8%; p < 0.0001) and hospital mortality (4.6% vs. 0.5%; p < 0.0001). For each of the top 15 presenting diagnoses, cancer patients had increased risks of hospitalization (odds ratio [OR] range 2.0-13.2) or death (OR range 2.1-14.4). Although our dataset does not contain reliable estimation of stage, cancer site was the most robust individual predictor associated with the risk of hospitalization or death compared to other clinical or system-related factors.

CONCLUSIONS

Cancer patients in the ED have high risks for hospital admission and death when compared to patients without cancer. Cancer patients represent a distinct population and may benefit from cancer-specific risk stratification or focused interventions to improve outcomes.

Patterns of Failure After Definitive Treatment of T4a Larynx Cancer

OBJECTIVE

Recurrence is known to predict laryngeal squamous cell cancer (LSCC) survival. Recurrence patterns in T4a LSCC are poorly characterized and represent a possible explanation for observed survival discrepancies by treatment rendered.

STUDY DESIGN

Retrospective database review.

SETTING

Veterans Affairs national database.

METHODS

Patients with T4a LSCC between 2000 and 2017 were identified and stratified by treatment (chemoradiotherapy [CRT] vs total laryngectomy + neck dissection + adjuvant therapy [surgical]). Primary outcomes were locoregional and distant recurrence. Secondary outcomes of overall mortality, larynx cancer mortality, and noncancer mortality were evaluated in Cox and Fine-Gray models.

RESULTS

A total of 1043 patients had comparable baseline demographics: 438 in the CRT group and 605 in the surgical group. Patients undergoing CRT had higher proportions of node positivity (64.6% vs 53.1%, P < .001). Locoregional and distant recurrence were less common in the surgical group (23.0% vs 37.2%, P < .001; 6.8% vs 13.3%, P < .001, respectively); however, distant metastatic rates did not differ within the N0 subgroup (P = .722). On multivariable regression, surgery demonstrated favorable locoregional recurrence (hazard ratio [HR], 0.49; 95% CI, 0.39-0.62; P < .001), distant recurrence (HR, 0.47; 95% CI, 0.31-0.71; P < .001), overall mortality (HR, 0.75; 95% CI, 0.64-0.87; P < .001), and larynx cancer mortality (HR, 0.69; 95% CI, 0.56-0.85; P < .001).

CONCLUSION

T4a LSCC survival discrepancies between surgical and nonsurgical treatment are influenced by varying recurrence behaviors. Surgery was associated with superior disease control and improved survival. Beyond the known benefit in locoregional control with surgery, there may be a protective effect on distant recurrence that depends on regional disease burden.

Evaluating the clinical trends and benefits of low-dose computed tomography in lung cancer patients

Background

Despite guideline recommendations, utilization of low‐dose computed tomography (LDCT) for lung cancer screening remains low. The driving factors behind these low rates and the real‐world effect of LDCT utilization on lung cancer outcomes remain limited.

Methods

We identified patients diagnosed with non‐small cell lung cancer (NSCLC) from 2015 to 2017 within the Veterans Health Administration. Multivariable logistic regression assessed the influence of LDCT screening on stage at diagnosis. Lead time correction using published LDCT lead times was performed. Cancer‐specific mortality (CSM) was evaluated using Fine–Gray regression with non‐cancer death as a competing risk. A lasso machine learning model identified important predictors for receiving LDCT screening.

Results

Among 4664 patients, mean age was 67.8 with 58‐month median follow‐up, 95% CI = [7–71], and 118 patients received ≥1 screening LDCT before NSCLC diagnosis. From 2015 to 2017, LDCT screening increased (0.1%–6.6%, mean = 1.3%). Compared with no screening, patients with ≥1 LDCT were more than twice as likely to present with stage I disease at diagnosis (odds ratio [OR] 2.16 [95% CI 1.46–3.20]) and less than half as likely to present with stage IV (OR 0.38 [CI 0.21–0.70]). Screened patients had lower risk of CSM even after adjusting for LDCT lead time (subdistribution hazard ratio 0.60 [CI 0.42–0.85]). The machine learning model achieved an area under curve of 0.87 and identified diagnosis year and region as the most important predictors for receiving LDCT. White, non‐Hispanic patients were more likely to receive LDCT screening, whereas minority, older, female, and unemployed patients were less likely.

Conclusions

Utilization of LDCT screening is increasing, although remains low. Consistent with randomized data, LDCT‐screened patients were diagnosed at earlier stages and had lower CSM. LDCT availability appeared to be the main predictor of utilization. Providing access to more patients, including those in diverse racial and socioeconomic groups, should be a priority.

Salvage Following Transoral Laser Microsurgery for Early Glottic Cancer in National Veteran Database

OBJECTIVES

Transoral laser microsurgery (TLM) is commonly utilized for early glottic cancer and offers favorable oncologic and functional outcomes. However, the survival implications of salvage therapy for recurrent or persistent disease have not been definitively characterized.

STUDY DESIGN

Retrospective, national database cohort study.

METHODS

Data were extracted from Veterans Health Affairs (VHA) Informatics and Computing Infrastructure (VINCI) concerning the TLM-based management of T1-T2 glottic squamous cell carcinoma patients between 2000 and 2017. Patients were characterized as either requiring TLM-only, or in cases of persistent or recurrent local disease, TLM plus change in treatment modality (radiotherapy, chemoradiotherapy, or open surgery). Predictors of overall survival (OS), cancer-specific survival (CSS), and salvage-free survival were evaluated via Cox and Fine-Gray models.

RESULTS

About 553 patients (70.9% T1a, 13.4% T1b, 15.7% T2) were included, with a median follow-up time of 74.5 months. The need for non-TLM salvage increased along with more advanced disease (11.7% T1a, 29.7% T1b, 32.2% T2). Compared to patients with T1a disease, those with T1b and T2 tumors initially treated with TLM had a significantly higher probability of receiving non-TLM salvage (T1b: HR 2.70, 95% CI: 1.61-4.54; T2: HR 3.02, 95% CI: 1.88-4.84). In a multivariable model, receipt of non-TLM salvage was not a significant predictor of either OS (HR = 0.91, 95% CI: 0.62-1.33, P = .624) or CSS (HR 1.21 95% CI 0.51-2.86, P = .667).

CONCLUSION

The majority of patients with early glottic cancer that are managed with TLM do not require additional salvage therapy. When non-TLM salvage was required, there was no decrement in OS or CSS.

LEVEL OF EVIDENCE

4 Laryngoscope, 2021.

Predictors of inpatient admission for pediatric cancer patients visiting the emergency department

e22019

Background: Pediatric cancer patients represent a vulnerable cohort at risk of adverse outcomes after presenting to the emergency department (ED). Given the severity of cancer-related complications and uniqueness of this population, approaches to better risk stratify this cohort could potentially help define future interventions geared towards improving outcomes. We used a high-dimensional machine learning approach to help define the risk of hospitalization after an ED visit among pediatric patients with cancer. Methods: A cohort of cancer patients under 18 was identified from the Nationwide Emergency Department Sample (NEDS) between 2016-2018. We used a lasso regression model to predict inpatient admission after an ED visit. Model covariates included patient demographics, hospital characteristics, and International Classification of Diseases, version 10 (ICD-10) diagnosis codes. The data were split 75%/25% into training/testing data. The model was constructed with training data, and performance assessed on the test data using the area under the curve (AUC), with an AUC of 1.0 indicating perfect prediction. Results: We identified 129,631 pediatric cancer patients who visited the ED, of which 54.5% were subsequently admitted. The final predictive model included 150 variables, including 9 demographic, 6 hospital, and 135 unique ICD-10 codes. The model demonstrated excellent ability to predict hospitalization with an AUC of 0.96. The top 5 most important variables associated with inpatient admission were diagnoses of paralytic ileus/intestinal obstruction, neutropenia, sepsis, aplastic anemia/bone marrow failure, and bacterial infection. Conclusions: Pediatric cancer patients frequently present to the ED with complications of their cancer or their treatment, and over half of these patients are admitted. This study demonstrates the capacity of high-dimensional prediction models to help identify pediatric patients at risk of hospitalization. Additional research is needed to determine how to implement these predictive models in clinical practice.

Patterns of failure after definitive treatment for T4a larynx cancer in the Veterans Affairs Health System

e18006

Background: Both chemoradiotherapy (CRT) and total laryngectomy (TL) with adjuvant therapy are curative-intent treatment options for patients with T4a larynx cancer. Disease recurrence is a known negative prognosicator, but differences in recurrence patterns and the subsequent survival associations are not well characterized. To address this knowledge gap, we present long-term recurrence and survival outcomes from a novel longitudinal data source. Methods: Retrospective study of non-metastatic T4a larynx cancer patients diagnosed between 2000-2017 who underwent curative-intent treatment (TL with adjuvant therapy or primary CRT) from the VA Informatics and Computing Infrastructure database. Adjuvant therapy consisted of either postoperative radiotherapy (RT) or CRT. Fine-Gray and Cox models were used to evaluate primary outcomes – time to locoregional recurrence and distant recurrence. Secondary outcomes included overall survival (OS), cancer-specific survival (CSS), non-cancer specific survival (NCSS), and disease-free survival (DFS). These multivariable models accounted for age, race, alcohol history, smoking status, education and income, Charlson-Deyo score, N-classification, and tumor subsite. Results: The study included 1,114 patients with a median follow-up time of 63.3 months among those alive at last follow up. In the TL group, adjuvant RT was used in 69% and adjuvant CRT was used in 31%. Median time to first recurrence was 24.4 months with overall incidence of 28.5% locoregional and 9.5% distant recurrence. Primary CRT patients had higher rates of locoregional (37.2 vs. 22.9%) and distant recurrence (13.3 vs. 7.0%) (p < 0.0001). Median OS was 27.3 months for CRT (95% CI: 23.6-32.4 months) and 47.5 months (95% CI: 39.6-52.1 months) for TL. Median DFS was 14.1 months for CRT (95% CI:12.5-17.2 months) and 37.9 months (95% CI 31.2-47.5 months) for TL. On multivariable analysis compared to CRT, TL was associated with longer time to locoregional (HR 0.50, 95% CI:0.40-0.61) and distant recurrence (HR 0.50, 95% CI:0.34-0.73). Having N+ disease increased risk of distant recurrence (HR 2.20, 95% CI:1.42-3.41). TL was associated with improved OS (HR 0.78, 95% CI:0.67 – 0.91), CSS (HR 0.73, 95% CI:0.59 – 0.89), and DFS (HR 0.58, 95% CI 0.49-0.69) compared to CRT; NCSS was equivalent between groups (HR 1.09, 95% CI:0.88-1.35). Of the CRT patients with locoregional failures, 67/163 (41.1%) were salvaged with surgery. Conclusions: In this cohort of T4a larynx cancer patients, surgical management demonstrated favorable recurrence and survival results. TL with adjuvant therapy was associated with significantly lower incidence of both locoregional and distant recurrence and increased OS, CSS and DFS compared to CRT. Lower probability of disease recurrence, in addition to a survival advantage, should be considered as an important advantage to up-front surgery.

Impact of cancer on emergency department outcomes

e18618

Background: Cancer patients frequently utilize the Emergency Department (ED) for a variety of diagnoses, both related and unrelated to their cancer. Patients with cancer have unique risks related to their cancer and treatment which could influence ED-related outcomes. A better understanding of these risks could help improve risk-stratification for these patients and help inform future interventions. This study sought to define the increased risks cancer patients face for inpatient admission and hospital mortality among cancer patients presenting to the ED. Methods: From the National Emergency Department Sample (NEDS) we identified patients with and without a diagnosis of cancer presenting to the ED between 2016 and 2018. We used International Classification of Diseases, version 10 (ICD10-CM) codes to identify patients with cancer, and to identify patient’s presenting diagnosis. Multivariable mixed-effects logistic regression models assessed the influence of cancer diagnoses on two endpoints: hospital admission from the ED, and inpatient hospital mortality. Results: There were 340 million weighted ED visits, of which 8.3 million (2.3%) occurred in patients with a cancer diagnosis. Compared to non-cancer patients, patients with cancer had an increased risk of inpatient admission (64.7% vs. 14.8%; p < 0.0001) and hospital mortality (4.6% vs. 0.5%; p < 0.0001). Factors associated with both an increased risk of hospitalization and death included older age, male gender, lower income level, discharge quarter, and receipt of care in a teaching hospital. We identified the top 15 most common presenting diagnoses among cancer patients, and among each of these diagnoses, cancer patients had increased risks of hospitalization (odds ratio [OR] range 2.0-13.2; all p < 0.05) and death (OR range 2.1-14.4; all p < 0.05) compared to non-cancer patients with the same diagnosis. Within the cancer patient cohort, cancer site was the most robust individual predictor associated with risk of hospitalization or death, with highest risk among patients with metastatic cancer, liver and lung cancers compared to the reference group of prostate cancer patients. Conclusions: Cancer patients presenting to the ED have high risks for hospital admission and death when compared to patients without cancer. Cancer patients represent a distinct population and may benefit from cancer-specific risk stratification or focused interventions tailored to improve outcomes in the ED setting.

Trends in U.S. Health Care Spending on Inflammatory Bowel Diseases, 1996-2016

BACKGROUND

Inflammatory bowel diseases (IBD) are rising in prevalence and are associated with high health care costs. We estimated trends in U.S. health care spending in patients with IBD between 1996 and 2016.

METHODS

We used data on national health care spending developed by the Institute for Health Metrics and Evaluations for the Disease Expenditure Project. We estimated corresponding U.S. age-specific prevalence of IBD from the Global Burden of Diseases Study. From these 2 sources, we estimated prevalence-adjusted, temporal trends in U.S. health care spending in patients with IBD, stratified by age groups (<20 years, 20-44 years, 45-64 years, ≥65 years) and by type of care (ambulatory, inpatient, emergency department [ED], pharmaceutical prescriptions, and nursing care), using joinpoint regression, expressed as an annual percentage change (APC) with 95% confidence intervals.

RESULTS

Overall, annual U.S. health care spending on IBD increased from $6.4 billion (95% confidence interval, 5.7-7.4) in 1996 to $25.4 billion (95% confidence interval, 22.4-28.7) in 2016, corresponding to a per patient increase in annual spending from $5714 to $14,033. Substantial increases in per patient spending on IBD were observed in patients aged ≥45 years. Between 2011 and 2016, inpatient and ED care accounted for 55.8% of total spending and pharmaceuticals accounted for 19.9%, with variation across age groups (inpatient/ED vs pharmaceuticals: ages ≥65 years, 57.6% vs 11.2%; ages 45-64 years, 49.5% vs 26.9%; ages 20-44 years, 59.2% vs 23.6%).

CONCLUSIONS

Even after adjusting for rising prevalence, U.S. health care spending on IBD continues to progressively increase, primarily in middle-aged and older adults, with unplanned health care utilization accounting for the majority of costs.

Association of race and health care system with disease stage and survival in veterans with larynx cancer

BACKGROUND

Black patients with laryngeal squamous cell carcinoma (LSCC) historically have inferior outcomes in comparison with White patients. The authors investigated these racial disparities within the Veterans Health Administration (VHA), an equal-access system, and within the Surveillance, Epidemiology, and End Results (SEER) program, which is representative of the US hybrid-payer system.

METHODS

Patients with invasive (T1 or greater) LSCC were included from SEER (2004-2015) and the VHA (2000-2017). The primary outcomes of overall survival (OS) and larynx cancer-specific survival (LCS) were evaluated in Cox and Fine-Gray models.

RESULTS

In the SEER cohort (7122 patients: 82.6% White and 17.4% Black), Black patients were more likely to present with advanced disease and had inferior OS (hazard ratio [HR], 1.37; 95% CI, 1.26-1.50; P < .0001) in a multivariable analysis. Black LCS was worse in a univariable analysis (HR, 1.42; 95% CI, 1.27-1.58; P < .0001), but this effect was attenuated by 83% when the authors controlled for the TNM category and was found to be insignificant in a multivariable analysis (HR, 1.05; 95% CI, 0.93-1.18; P = .42). In the VHA cohort (9248 patients: 79.7% White and 20.3% Black), the 2 racial cohorts presented with similar tumor characteristics and similar OS (HR, 0.95; 95% CI, 0.89-1.02; P = .14). Black LCS was similar in univariable (HR, 1.10; 95% CI, 1.00-1.22; P = .05) and multivariable analyses (HR, 1.02; 95% CI, 0.92-1.14; P = .67).

CONCLUSIONS

Black patients with LSCC had a tumor burden at diagnosis and survival outcomes comparable to those of White patients within the VHA; this was counter to what was observed in the SEER analysis and prior national trends. This study's findings point toward the notable role of health care access in contributing to racial health disparities in the realm of larynx cancer.

Data on leukocyte PDZK1 deficiency affecting macrophage apoptosis but not monocyte recruitment, cell proliferation, macrophage abundance or ER stress in atherosclerotic plaques of LDLR deficient mice

PDZK1 (Post-synaptic density protein/Drosophila disc-large protein/Zonula occludens protein containing 1) is an adaptor protein that binds to the HDL receptor, Scavenger receptor class B type I. Leukocyte PDZK1 deficiency in high fat-diet fed LDL receptor knockout mice has been found to increase atherosclerotic necrotic core formation and apoptosis of cells within atherosclerotic plaques. To explore mechanisms that may be involved, we examined the effects of leukocyte PDZK1 deficiency in mice on a number of processes that may impact macrophage abundance within atherosclerotic plaques. We found that leukocyte PDZK1 deficiency in high fat diet fed LDL receptor knockout mice did not affect the abundance of circulating red blood cells, myeloid cells or B- or T-lymphocytes. Leukocyte selective PDZK1 deficiency did not affect the levels of the ER chaperone proteins, detected with an antibody against the KDEL peptide, in macrophages or macrophage abundance, cellular proliferation or monocyte recruitment in atherosclerotic plaques. Leukocyte PDZK1 deficiency in otherwise wild type mice did result in increased sensitivity of macrophages to tunicamycin-induced apoptosis in a peritonitis model. HDL protected wild type macrophages from apoptosis induced by a variety of agents, including the ER stressor tunicamycin, oxidized LDL and exposure to UV irradiation. However, this protection afforded by HDL was lost when macrophages were deficient in PDZK1. HDL did not affect the level of ER stress induction by tunicamycin. Finally, PDZK1 deficiency in macrophages did not affect lipopolysaccharide-mediated induction of markers of M1 polarization. These data, utilizing mouse and cellular models, help to demonstrate that leukocyte PDZK1 plays a role in atherosclerosis by affecting macrophage apoptosis within atherosclerotic plaques.

Sphingosine-1-Phosphate Receptor 1, Expressed in Myeloid Cells, Slows Diet-Induced Atherosclerosis and Protects against Macrophage Apoptosis in Ldlr KO Mice

We generated myeloid specific sphingosine-1-phosphate receptor 1 (S1pr1) deficient mice by crossing mice that had myeloid specific expression of Cre recombinase (lyzM^Cre) with mice having the S1pr1 gene flanked by loxP recombination sites. We transplanted bone marrow from these mice and control lyzM^Cre mice with intact macrophage S1pr1 gene expression into low-density lipoprotein (LDL) receptor gene (Ldlr) deficient mice. The resulting chimeras were fed a high fat atherogenic diet for nine or twelve weeks and evaluated for atherosclerosis development in the aortic sinus. Selective S1pr1 deficiency in bone marrow-derived myeloid cells resulted in accelerated development of atherosclerosis, necrotic core formation and the appearance of apoptotic cells within atherosclerotic plaques of Ldlr knockout mice in response to a high fat diet. Examination of macrophages in culture revealed that the sphingosine-1-phosphate receptor 1 selective agonist, SEW2871 or high density lipoprotein (HDL), protected macrophages against apoptosis induced by endoplasmic reticulum (ER) stress or oxidized LDL, through activation of phosphatidylinositol-3-kinase/Akt signaling. Targeted S1pr1-deletion prevented Akt activation and protection against apoptosis by either SEW2871 or HDL. Our data suggests that sphingosine-1-phosphate receptor 1 in macrophages plays an important role in protecting them against apoptosis in vitro and in atherosclerotic plaques in vivo, and delays diet induced atherosclerosis development in Ldlr deficient mice.