Faculty Bibliography

Diabetes mellitus (DM) and pancreatic cancer (PC) in the elderly are widely considered to be interrelated. New-onset diabetes (NOD) patients are considered a high-risk group for the development of PC within three years of diagnosis. We reviewed the literature to determine the pathophysiological association between DM and PC, which can help in the development of screening tests for early PC diagnosis in the elderly with NOD. We also studied the potential associations between them after pancreaticoduodenectomy (PD) or pancreatic resection. We collected studies published in the last five years in PubMed that are relevant to DM and PC in the elderly. We mainly focused on the pathophysiology and intracellular mechanisms involved between NOD and PC. We illustrated the clinical signs and immunological and metabolic biomarkers that can be used to diagnose early PC in the elderly with NOD. In the 34 studies we reviewed, five showed that long-term diabetes mellitus (LTDM) increases the risk of PC. Six studies showed that NOD in the elderly is an early sign of PC. Fourteen studies proposed that clinical signs and biomarker levels should be used to determine the high-risk risk group for PC among NOD patients. Six studies reported that NOD is associated with the worst outcomes postoperatively, and three studies showed that patients developed DM after pancreatic resection. LTDM is considered an independent risk factor for PC development in the elderly. NOD is a consequence and maybe the only early presenting sign of PC. Screening protocols and tests should be used in clinical practice to determine the proportion of NOD patients who should undergo further testing for early diagnosis of PC. DM and PC are also co-related postoperatively and patients should be monitored for impaired glucose levels, overall survival, and mortality.

Neuroimaging software methods are complex, making it a near certainty that some implementations will contain errors. Modern computational techniques (i.e., public code and data repositories, continuous integration, containerization) enable the reproducibility of the analyses and reduce coding errors, but they do not guarantee the scientific validity of the results. It is difficult, nay impossible, for researchers to check the accuracy of software by reading the source code; ground truth test datasets are needed. Computational reproducibility means providing software so that for the same input anyone obtains the same result, right or wrong. Computational validity means obtaining the right result for the ground-truth test data. We describe a framework for validating and sharing software implementations, and we illustrate its usage with an example application: population receptive field (pRF) methods for functional MRI data. The framework is composed of three main components implemented with containerization methods to guarantee computational reproducibility. In our example pRF application, those components are: (1) synthesis of fMRI time series from ground-truth pRF parameters, (2) implementation of four public pRF analysis tools and standardization of inputs and outputs, and (3) report creation to compare the results with the ground truth parameters. The framework was useful in identifying realistic conditions that lead to imperfect parameter recovery in all four pRF implementations, that would remain undetected using classic validation methods. We provide means to mitigate these problems in future experiments. A computational validation framework supports scientific rigor and creativity, as opposed to the oft-repeated suggestion that investigators rely upon a few agreed upon packages. We hope that the framework will be helpful to validate other critical neuroimaging algorithms, as having a validation framework helps (1) developers to build new software, (2) research scientists to verify the software's accuracy, and (3) reviewers to evaluate the methods used in publications and grants.

OBJECTIVES/OBJECTIVE:We sought to (1) identify the countries in the Latin America/Caribbean Group of the United Nations (GRULAC) that have protocols for brain death/death by neurologic criteria (BD/DNC) and (2) review the similarities and differences between these protocols. MATERIALS AND METHODS/METHODS:Between January 2018 and April 2019, we obtained and reviewed BD/DNC protocols from countries in GRULAC. RESULTS:We communicated with contacts in 30/33 countries in GRULAC (91 % of countries) and found that 16 (53 % of countries with contacts, 48 % of Latin American/Caribbean countries) had BD/DNC protocols. Of the 13 protocols that provided a definition of death, 10 (77 %) referred to whole brain death. The number of exams/examiners, prerequisites for BD/DNC, and descriptions of the clinical assessment and apnea test were inconsistent among protocols. Although Brazil and Panama required an ancillary test, the indications for ancillary testing, and the types of accepted ancillary tests, varied by country. CONCLUSION/CONCLUSIONS:BD/DNC determination protocols in the countries in GRULAC are inconsistent. Acknowledging the fact that there are diverse cultural, legal and religious perspectives on death, and human and technological resources differ by region, we recommend that attempts be made to harmonize protocols on BD/DNC both regionally and worldwide.

The selective effectiveness of adrenocorticotropic hormone (ACTH) in treating infantile spasms suggests an underlying neuroinflammation. Because neuroinflammation is mediated by activated microglia, which express translocator protein (TSPO), we imaged neuroinflammation in children with infantile spasms using positron emission tomography (PET) with ¹¹C-PK11195 (PK), which selectively binds to TSPO. Children were studied prospectively before and following treatment with Acthar Gel (repository corticotropin injection). We hypothesized that PK-PET would show neuroinflammation (increased PET uptake) in cortical and/or subcortical structures before treatment, and that this inflammation will be abolished/reduced following Acthar Gel treatment. Eight children with infantile spasms (5 males; mean age 1.8±1.1, range 0.9-4.1 years) were recruited. After clinical and video electroencephalograph (EEG) evaluation and dynamic PK-PET scan, children underwent treatment with Acthar Gel over 4 weeks, followed by repeat clinical evaluation/video-EEG 2 weeks after initiation of treatment and repeat PK-PET 2 weeks after treatment completion. Visual and quantitative analysis of PK-PET scans were performed. We calculated regional binding potential (measure of receptor-ligand binding) using a reference tissue model. Focal areas of increased PK-binding were found in the pretreatment PK-PET in 5 children. Following treatment, these increases were either reduced or normalized and were associated with cessation (n=4) or significant reduction (n=1) of spasms and complete disappearance of hypsarrhythmia. One child showed increased binding potential in basal ganglia and thalamus, despite normalization of cortical binding potential; however, these increases were likely associated with death-related causes. This study suggests Acthar Gel-responsive neuroinflammatory changes in children with infantile spasms, supporting a potential role of neuroinflammation in the pathogenesis of infantile spasms.

Physician-patient collaboration was recognized as a critical core of participatory medicine more than a century ago. However, the subsequent focus on scientific research to enable cures and increased dominance of physicians in health care subordinated patients to a passive role. This paternalistic model weakened in the past 50 years-as women, minorities, and the disabled achieved greater rights, and as incurable chronic diseases and unrelieved pain disorders became more prevalent-promoting a more equitable role for physicians and patients. By 2000, a shared decision-making model became the pinnacle for clinical decisions, despite a dearth of data on health outcomes, or the model's reliance on single patient or solo practitioner studies, or evidence that no single model could fit all clinical situations. We report about a young woman with intractable epilepsy due to a congenital brain malformation whose family and medical specialists used a collaborative decision-making approach. This model positioned the health professionals as supporters of the proactive family, and enabled them all to explore and co-create knowledge beyond the clinical realm. Together, they involved other members of the community in the decisions, while harnessing diverse relationships to allow all family members to achieve positive levels of health, despite the resistance of the seizures to medical treatment and the incurable nature of the underlying disease.

BACKGROUND AND PURPOSE/OBJECTIVE:Hypertension is a known risk factor for intracerebral hemorrhage (ICH), but it is unclear whether blood pressure (BP) at hospital arrival can be used to distinguish hypertensive ICH from non-hypertensive etiologies. PATIENTS AND METHODS/METHODS:We performed a single-center cohort study using data from consecutive ICH patients over 12 months. ICH characteristics including etiology were prospectively adjudicated by two attending neurologists. Using adjusted linear regression models, we compared first recorded systolic BPs (SBP) and mean arterial pressures (MAP) in patients with hypertensive vs. other ICH etiologies. We then used area under the ROC curve (AUC) analysis to determine the accuracy of admission BP in differentiating between hypertensive and non-hypertensive ICH. RESULTS:Of 311 patients in our cohort (mean age 70.6 ± 15.6, 50% male, 83% white), the most frequent ICH etiologies were hypertension (50%) and cerebral amyloid angiopathy (CAA; 22%). Mean SBP and MAP for patients with hypertensive ICH was 175.1 ± 32.9 mmHg and 120.4 ± 22.9 mmHg, respectively, compared to 156.4 ± 28.0 mmHg and 109.6 ± 20.3 mmHg in non-hypertensive ICH (p < .001). Adjusted models showed that hypertensive ICH patients had higher BPs than those with CAA (mean SBP difference 10.7 mmHg [95% CI 0.8-20.5]; mean MAP difference 8.1 mmHg [1.1-15.0]) and especially patients with other non-CAA causes (mean SBP difference 23.9 mmHg [15.3-32.4]; mean MAP difference 14.5 mmHg [8.5-20.6]). However, on a patient-level, arrival BP did not reliably discriminate between hypertensive and non-hypertensive etiologies (AUC 0.660 [0.599-0.720]). CONCLUSIONS:Arrival BP differs between hypertensive and non-hypertensive ICH but should not be used as a primary determinant of etiology, as hypertension may be implicated in various subtypes of ICH.

To become a unifying theory of brain function, predictive processing (PP) must accommodate its rich representational diversity. Gilead et al. claim such diversity requires a multi-process theory, and thus is out of reach for PP, which postulates a universal canonical computation. We contend this argument and instead propose that PP fails to account for the experiential level of representations.

Anti-CD20 therapies have established efficacy in the treatment of immune-mediated neurological and non-neurological diseases. Rituximab, one of the first B-cell-directed therapies, is relatively inexpensive compared to newer anti-CD20 molecules, is available in many countries, and has been used off-label in pediatric patients with neuroimmune conditions. The objective of this paper is to describe the experience with rituximab in pediatric multiple sclerosis and other inflammatory immune-mediated disorders of the central nervous system (CNS), and to define a protocol for its use in clinical practice, in particular addressing doses, interval of administration, duration of treatment, and tests to perform at baseline and during follow-up.

Introduction/UNASSIGNED:Recognition of faces of family members, friends, and colleagues is an important skill essential for everyday life. Individuals affected by prosopagnosia (face blindness) have difficulty recognizing familiar individuals. The prevalence of prosopagnosia has been estimated to be as high as 3%. Prosopagnosia can severely impact the quality of life of those affected, and it has been suggested to co-occur with conditions such as depression and anxiety. Methods/UNASSIGNED:To determine real-world diagnostic frequency of prosopagnosia and the spectrum of its comorbidities, we utilized a large database of more than 7.5 million de-identified electronic health records (EHRs) from patients who received care at major academic health centers and Federally Qualified Health Centers in New York City. We designed a computable phenotype to search the database for diagnosed cases of prosopagnosia, revealing a total of n = 902 cases. In addition, data from a randomly sampled matched control population (n = 100,973) were drawn from the database for comparative analyses to study the condition's comorbidity landscape. Diagnostic frequency of prosopagnosia, epidemiological characteristics, and comorbidity landscape were assessed. Results/UNASSIGNED:We observed prosopagnosia diagnoses at a rate of 0.012% (12 per 100,000 individuals). We discovered elevated frequency of prosopagnosia diagnosis for individuals who carried certain comorbid conditions, such as personality disorder, depression, epilepsy, and anxiety. Moreover, prosopagnosia diagnoses increased with the number of comorbid conditions. Conclusions/UNASSIGNED:Results from this study show a wide range of comorbidities and suggest that prosopagnosia is vastly underdiagnosed. Findings imply important clinical consequences for the diagnosis and management of prosopagnosia as well as its comorbid conditions.