Cost and Utilization Outcomes in Huntsman at Home, a Novel Oncology Hospital at Home Program

OBJECTIVES

In a real-world trial, we previously demonstrated that Huntsman at Home, a novel oncology hospital at home program, was associated with reduced health care utilization and costs. In this study, we sought to understand the impact of Huntsman at Home in specific patient subgroups defined by sex, age, area-level median income, Charlson Comorbidity Index, and current use of systemic anticancer therapy.

DESIGN

Retrospective case-control study of the Huntsman Cancer Institute. Electronic Data Warehouse of patients enrolled in Huntsman at Home between August 2018 through October 2019 vs usual-care patients.

SETTING AND PARTICIPANTS

A total of 169 patients admitted to Huntsman at Home compared with 198 usual-care patients.

METHODS

Five dichotomous subgroups evaluated including sex (female vs male), age (≥65 vs <65), income (≥$78,735 vs <$78,735), Charlson Comorbidity Index (≥2 vs <2), and current systemic anticancer therapy use vs no current systemic anticancer therapy. Groups were compared with patients receiving usual care. Primary outcomes included 30-day costs, hospital length of stay, unplanned hospitalizations, and emergency room visits.

RESULTS

Admission to Huntsman at Home was associated with an overall reduction across all 4 health care cost and utilization outcomes. Outcomes favoring admission to Huntsman at Home achieved statistical significance (P < .05) in at least 2 of the 4 outcomes for each subgroup studied. Of the subgroups that did not achieve statistically significant benefit from Huntsman at Home admission in some outcome categories, none of these subgroups favored usual care.

CONCLUSIONS AND IMPLICATIONS

Admission to Huntsman at Home decreased utilization of unplanned health care and reduced costs across a wide spectrum of patient subgroups, suggesting overall consistent benefit from the service. Hospital at home models should be considered as a means by which the quality and efficiency of care can be maximized for patients with cancer.

A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology

We present a general framework for developing a machine learning (ML) tool that supports clinician assessment of patient risk using electronic health record-derived real-world data and apply the framework to a quality improvement use case in an oncology setting to identify patients at risk for a near-term (60 day) emergency department (ED) visit who could potentially be eligible for a home-based acute care program. Framework steps include defining clinical quality improvement goals, model development and validation, bias assessment, retrospective and prospective validation, and deployment in clinical workflow. In the retrospective analysis for the use case, 8% of patient encounters were associated with a high risk (pre-defined as predicted probability ≥20%) for a near-term ED visit by the patient. Positive predictive value (PPV) and negative predictive value (NPV) for future ED events was 26% and 91%, respectively. Odds ratio (OR) of ED visit (high- vs. low-risk) was 3.5 (95% CI: 3.4–3.5). The model appeared to be calibrated across racial, gender, and ethnic groups. In the prospective analysis, 10% of patients were classified as high risk, 76% of whom were confirmed by clinicians as eligible for home-based acute care. PPV and NPV for future ED events was 22% and 95%, respectively. OR of ED visit (high- vs. low-risk) was 5.4 (95% CI: 2.6–11.0). The proposed framework for an ML-based tool that supports clinician assessment of patient risk is a stepwise development approach; we successfully applied the framework to an ED visit risk prediction use case.

SURG-06. MANAGEMENT OF HYDROCEPHALUS IN ADULT PATIENTS WITH BRAIN METASTASES

BACKGROUND

Traditionally patients presenting with hydrocephalus in the setting of brain metastases were associated with poor outcomes. However, in the area of improved systemic therapies, the prognosis of brain metastases has improved, warranting investigation into the management of concomitant hydrocephalus.

METHODS

We conducted a retrospective review of 12 consecutive patients with brain metastases presenting with hydrocephalus treated with either endoscopic third ventriculostomy (ETV) or ventriculoperitoneal shunt (VPS) from June 2013 to December 2018. We then compared our outcomes to 77 historical controls from the literature to test the hypothesis that management of hydrocephalus in patients who respond to systemic therapy is associated with improved outcomes.

RESULTS

The medial overall survival in our cohort was 182 days compared with 91 days in the reported previous studies, with an odds ratio of 0.5 (95% CI 0.24-1.04). In the 5 patients who underwent ETV, the median survival was 182 days versus 77 days reported in the literature, an odds ratio of 0.42 (95% CI 1.28-1.40). Patients with one brain metastasis did not reach median survival with 4 of 5 patients alive at last follow up, while only 3 of 7 patients with at least two metastases were alive at follow up with a median survival of 182 days. Patients who had immunotherapy were associated with improved survival, while leptomeningeal carcinomatosis still was associated with a negative outcome.

CONCLUSIONS

Patients with brain metastases and hydrocephalus who underwent neurosurgical CSF diversion had improved survival compared with historical controls, particularly in patients with one metastasis or who received immunotherapy. This study supports initial interdisciplinary evaluation of patients with brain metastases by medical and radiation oncology together with neurosurgery to facilitate immediate systemic therapy after relief of hydrocephalus.

SURG-27. TREATING HYDROCEPHALUS IN DIFFUSE MIDLINE GLIOMAS WITH AN H3 K27M MUTATION

BACKGROUND

Diffuse midline gliomas (DMG) are a subset of malignant gliomas that share a characteristic Histone H3K27M mutation. These tumors are centrally located and may cause hydrocephalus on initial presentation. DMG lack characteristic imaging that distinguish from other primary brain tumors in the midline. We conducted this retrospective chart review of 43 consecutive patients presenting with midline tumors to determine: how many had a DMG; whether DMG patients with hydrocephalus were candidates for resection; and what the outcomes of endoscopic third ventriculostomy (ETV) versus ventriculoperitoneal shunt (VPS) placement were, as compared to wild type (WT) tumors.

METHODS

We conducted an IRB approved retrospective chart review of patients presenting with midline tumors from 9/2016-3/2020 to determine H3K27M mutation status, hydrocephalus, and neurosurgery intervention.

RESULTS

The median age of all midline tumor patients was 19.1 years (range 1.1-80.1). 26% (11/43) of midline tumors presented with H3K27M mutation, with a higher rate of hydrocephalus compared to patients without mutation [7/11 (65%) for DMG vs. 6/32 (19%) for WT, p&lt; 0.05]. Of the seven H3K27M patients presenting with hydrocephalus, none were candidates for resection, 5 underwent ETV, and 2 underwent VPS placement as initial management. 4 out of these 5 ETVs failed within an average of 24 days (6-42 days). 2 patients then underwent VP shunt placement; the other 2 underwent secondary ETV but both failed and required VP shunting as well. All 6 WT tumor patients had one procedure (1 ETV, 5 resection) to relieve hydrocephalus, and no patients had recurrent hydrocephalus.

CONCLUSIONS

Both pediatric and adult patients may present with DMG associated with a higher rate of unresectable tumors and hydrocephalus on presentation. Furthermore, these data suggest that neuroendoscopic third ventriculostomy and septum pellucidum fenestration for the management of obstructive hydrocephalus in patients with DMG may be less robust than shunting.

Traumatic brain injury imaging research roadmap

The past decade has seen impressive advances in the types of neuroimaging information that can be acquired in patients with traumatic brain injury. However, despite this increase in information, understanding of the contribution of this information to prognostic accuracy and treatment pathways for patients is limited. Available techniques often allow us to infer the presence of microscopic changes indicative of alterations in physiology and function in brain tissue. However, because histologic confirmation is typically lacking, conclusions reached by using these techniques remain solely inferential in almost all cases. Hence, a need exists for validation of these techniques by using data from large population samples that are obtained in a uniform manner, analyzed according to well-accepted procedures, and correlated with closely monitored clinical outcomes. At present, many of these approaches remain confined to population-based research rather than diagnosis at an individual level, particularly with regard to traumatic brain injury that is mild or moderate in degree. A need and a priority exist for patient-centered tools that will allow advanced neuroimaging tools to be brought into clinical settings. One barrier to developing these tools is a lack of an age-, sex-, and comorbidities-stratified, sequence-specific, reference imaging data base that could provide a clear understanding of normal variations across populations. Such a data base would provide researchers and clinicians with the information necessary to develop computational tools for the patient-based interpretation of advanced neuroimaging studies in the clinical setting. The recent "Joint ASNR-ACR HII-ASFNR TBI Workshop: Bringing Advanced Neuroimaging for Traumatic Brain Injury into the Clinic" on May 23, 2014, in Montreal, Quebec, Canada, brought together neuroradiologists, neurologists, psychiatrists, neuropsychologists, neuroimaging scientists, members of the National Institute of Neurologic Disorders and Stroke, industry representatives, and other traumatic brain injury stakeholders to attempt to reach consensus on issues related to and develop consensus recommendations in terms of creating both a well-characterized normative data base of comprehensive imaging and ancillary data to serve as a reference for tools that will allow interpretation of advanced neuroimaging tests at an individual level of a patient with traumatic brain injury. The workshop involved discussions concerning the following: 1) designation of the policies and infrastructure needed for a normative data base, 2) principles for characterizing normal control subjects, and 3) standardizing research neuroimaging protocols for traumatic brain injury. The present article summarizes these recommendations and examines practical steps to achieve them.

Adaptation of the chronic disease self-management program for cancer survivors: feasibility, acceptability, and lessons for implementation

Self-management in chronic disease has been shown to improve patient-reported and health care-related outcomes. However, relatively little information about its utility in cancer survivorship is known. We evaluated the feasibility and acceptability of the delivery of an adaptation of the evidence-based Chronic Disease Self-management Program (Stanford) called Cancer Thriving and Surviving (CTS). Triangulated mixed methods were used to capture baseline characteristics and post-program experiences using a combination of closed- and open-ended survey items; emergent coding and simple descriptive statistics were used to summarize the data. Twenty-seven workshops were delivered by 22 CTS leaders to 244 participants between August 2011 and January 2013 in a variety of settings (48 % community, 30 % health care, 22 % regional/community cancer center). Representing a variety of cancer types, about half the participants were 1-3 years post-diagnosis and 45 % were 4 or more years from diagnosis. Program attendance was high with 84 % of participants attending four or more of the six sessions in the workshop. Overall, 95 % of the participants were satisfied with the program content and leaders, and would recommend the program to friends and family. These results confirm the feasibility and acceptability of delivery of a high-fidelity, peer-led model for self-management support for cancer survivors. Expansion of the CTS represents a powerful tool toward improving health-related outcomes in this at-risk population.

Dendritic cells for active immunotherapy: optimizing design and manufacture in order to develop commercially and clinically viable products

Dendritic cell (DC) active immunotherapy is potentially efficacious in a broad array of malignant disease settings. However, challenges remain in optimizing DC-based therapy for maximum clinical efficacy within manufacturing processes that permit quality control and scale-up of consistent products. In this review we discuss the critical issues that must be addressed in order to optimize DC-based product design and manufacture, and highlight the DC based platforms currently addressing these issues. Variables in DC-based product design include the type of antigenic payload used, DC maturation steps and activation processes, and functional assays. Issues to consider in development include: (a) minimizing the invasiveness of patient biological material collection; (b) minimizing handling and manipulations of tissue at the clinical site; (c) centralized product manufacturing and standardized processing and capacity for commercial-scale production; (d) rapid product release turnaround time; (e) the ability to manufacture sufficient product from limited starting material; and (f) standardized release criteria for DC phenotype and function. Improvements in the design and manufacture of DC products have resulted in a handful of promising leads currently in clinical development.

Growth characteristics of early passage cell lines compared with established TCC bladder lines

The growth patterns of established cell lines from bladder transitional cell carcinoma (TCC) were compared with early passage cell lines. The growth of established cell line 5637 was uninhibited in both serum free (basal) and serum containing media. The early passage line (DR) grew only in serum containing medium. This confirms the unreliability of results from biological studies on established (continuous) cell lines.