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.

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.

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.

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 LDLRKO 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.

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.

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.

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.

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.

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.

Post-treatment neuroendocrine outcomes among pediatric brain tumor patients: Is there a difference between proton and photon therapy?

Purpose: Pediatric brain tumor patients are vulnerable to radiotherapy (RT) sequelae including endocrinopathies. We compared post-RT neuroendocrine outcomes between pediatric brain tumor patients receiving photons (XRT) versus protons (PRT). Methods: Using a prospectively maintained single-institution database, we analyzed 112 pediatric primary brain tumor patients (80 XRT, 32 PRT) from 1996 to 2019. Patient/treatment characteristics and endocrinopathy diagnoses (growth hormone deficiency [GHD], sex hormone deficiency [SHD], hypothyroidism, and requirement of hormone replacement [HRT]) were obtained via chart review. Univariable/multivariable logistic regression identified neuroendocrine outcome predictors. Time-adjusted propensity score models accounted for treatment type. Craniospinal irradiation (CSI) patients were evaluated as a sub-cohort. Results: Median follow-up was 6.3 and 4.4 years for XRT and PRT patients respectively. Medulloblastoma was the most common histology (38%). Half of patients (44% in XRT, 60% in PRT) received CSI. Common endocrinopathies were GHD (26% XRT, 38% PRT) and hypothyroidism (29% XRT, 19% PRT). CSI cohort PRT patients had lower odds of hypothyroidism (OR 0.16, 95% CI[0.02-0.87], p = 0.045) on multivariable regression and propensity score analyses. There were no significant differences in endocrinopathies in the overall cohort and in the odds of GHD or HRT within the CSI cohort. SHD developed in 17.1% of the XRT CSI group but did not occur in the PRT CSI group. Conclusion: Endocrinopathies were common among pediatric brain tumor survivors. Among CSI patients, PRT was associated with lower risk of hypothyroidism, and potentially associated with lower incidence of SHD. Future studies should involve collaborative registries to explore the survivorship benefits of PRT.

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.

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.

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.

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.

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.

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.

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.