Evaluating Medicaid expansion benefits for patients with cancer: National Cancer Database analysis and systematic review.

BACKGROUND: Insurance status modifies healthcare access and inequities. The Affordable Care Act expanded Medicaid coverage for people with low incomes in the United States. This study assessed the consequences of this policy change for cancer care after expansion in 2014. METHODS: National Cancer Database (NCDB) public benchmark reports were queried for each malignancy in 2013 and 2016. Furthermore, a systematic search [PubMed, Embase, Scopus and Cochrane] was performed. Data on insurance status, access to cancer screening and treatment, and socioeconomic disparities in these metrics was collected. RESULTS: Two-tailed analysis of the NCDB revealed that 14 out of 18 eligible states had a statistically significant increase in Medicaid-insured patients with cancer after expansion. The average percentage increase was 51 % (13.2-204 %). From the systematic review, 229 studies were identified, 26 met inclusion. All 21 relevant articles reported lower uninsured rates. The average increase of Medicaid-insured patients was 77 % (9.5-230 %) and the average decrease of uninsured rates was 55 % (13.4-73 %). 15 out of 21 articles reported increased access to care. 16 out of 17 articles reported reductions in inequities. CONCLUSION: Medicaid expansion in 2014 increased the number of insured patients with cancer. Expansion also improved access to screening and treatment in most oncologic care, and reduced socioeconomic disparities. Further studies evaluating correlative survival outcomes are needed. POLICY SUMMARY: This study informs debates on expansion of Medicaid in state governments and electorates in the United States, and on health insurance reform broadly, by providing insight into how health insurance can benefit people with cancer while revealing how less insurance coverage could harm patients with cancer before and after their diagnosis. This study also contributes to discussions of health insurance mandates, subsidized coverage for people with low incomes, and covered healthcare services determinations by public and private health insurance providers in other countries.

A Biomarker for Predicting Responsiveness to Stem Cell Therapy Based on Mechanism-of-Action: Evidence from Cerebral Injury.

To date, no stem cell therapy has been directed to specific recipients-and, conversely, withheld from others-based on a clinical or molecular profile congruent with that cell's therapeutic mechanism-of-action (MOA) for that condition. We address this challenge preclinically with a prototypical scenario: human neural stem cells (hNSCs) against perinatal/neonatal cerebral hypoxic-ischemic injury (HII). We demonstrate that a clinically translatable magnetic resonance imaging (MRI) algorithm, hierarchical region splitting, provides a rigorous, expeditious, prospective, noninvasive "biomarker" for identifying subjects with lesions bearing a molecular profile indicative of responsiveness to hNSCs' neuroprotective MOA. Implanted hNSCs improve lesional, motor, and/or cognitive outcomes only when there is an MRI-measurable penumbra that can be forestalled from evolving into necrotic core; the core never improves. Unlike the core, a penumbra is characterized by a molecular profile associated with salvageability. Hence, only lesions characterized by penumbral > core volumes should be treated with cells, making such measurements arguably a regenerative medicine selection biomarker.

Increased 30-day readmission rate after craniotomy for tumor resection at safety net hospitals in small metropolitan areas.

PURPOSE: Unplanned readmission of post-operative brain tumor patients is often attributed to hospital and patient characteristics and is associated with higher mortality and cost. Previous studies demonstrate multiple patient outcome disparities in safety net hospitals (SNHs) when compared to non-SNHs. This study uses the Nationwide Readmissions Database (NRD) to determine if initial brain tumor resection at SNHs is associated with increased 30-day non-elective readmission rates. METHODS: Patients with benign or malignant primary or metastatic brain tumor undergoing craniotomy for surgical resection were retrospectively identified in the NRD from 2010 to 2014. SNHs were defined as hospitals with Medicaid and uninsured patient burden in the top quartile. Descriptive and multivariate analyses employing survey-adjusted logistic regression evaluated patient and hospital level factors influencing 30-day readmissions. RESULTS: During the study period, 83,367 patients met inclusion criteria. 44.7% of patients had a benign tumor, and 55.3% had a malignant tumor. Secondary CNS neoplasm (5.99%), post-operative infection (5.96%), and septicemia (4.26%) caused most readmissions within 30 days. Patients had increased unplanned readmission rates if they underwent craniotomy for tumor resection at a SNH in a small metropolitan area (OR 1.11, 95% CI 1.02-1.21, p = 0.01), but not at a SNH in a large metropolitan area (OR 0.99, 95% CI 0.93-1.05, p = 0.73). CONCLUSION: This finding may reflect differences in access to care and disparities in neurosurgical resources between small and large metropolitan areas. Inequities in expertise and capacity are relevant as surgical volume was also related to readmission rates. Further studies may be warranted to address such disparities.

Modeling Complex Neurological Diseases with Stem Cells: A Study of Bipolar Disorder.

The pathogenesis of bipolar disorder (BPD) is unknown. Using human-induced pluripotent stem cells (hiPSCs) to unravel pathological mechanisms in polygenic diseases is challenging, with few successful studies to date. However, hiPSCs from BPD patients responsive to lithium have offered unique opportunities to discern lithium's mechanism of action and hence gain insight into BPD pathology. By profiling the proteomics of BPD-hiPSC-derived neurons, we found that lithium alters the phosphorylation state of collapsin response mediator protein-2 (CRMP2). The "set point" for the ratio of pCRMP2:CRMP2 is elevated uniquely in hiPSC-derived neurons from lithium responsive (Li-R) BPD patients, but not other psychiatric and neurological disorders. Utilizing neurons differentiated from human patient stem cells as an in vitro platform, we were able to elucidate the mechanism driving the pathogenesis and pathophysiology of lithium-responsive BPD, heretofore unknown. Importantly, the findings in culture were validated in human postmortem material as well as in animal models of BPD behavior. These data suggest that the "lithium response pathway" in BPD governs CRMP2's phosphorylation, which regulates cytoskeletal organization, particularly in dendritic spines, leading to modulated neural networks that may underlie Li-R BPD pathogenesis. This chapter reviews the methodology of leveraging a functional agent, lithium, to identify unknown pathophysiological pathways with hiPSCs and how to translate this disease modeling approach to other neurological disorders.