Optimizing Neurology Inpatient Documentation: A Pilot Study of a Novel Discharge Documentation EHR Tool.

Background and Purpose: Clinical documentation of patient acuity is a major determinant of payer reimbursement. This project aimed to improve case mix index (CMI) by incorporating a novel electronic health record (EHR) discharge documentation tool into the inpatient general neurology service at the University of California, Los Angeles (UCLA) Medical Center. Methods: We used data from Vizient AMC Hospital: Risk Model Summary for Clinical Data Base (CBD) 2017 to create a discharge diagnosis documentation tool consisting of dropdown menus to better capture relevant secondary diagnoses and comorbidities. After implementation of this tool, we compared pre- (July 2017-June 2019) and post-intervention (July 2019-June 2021) time periods on mean expected length of stay (LOS) and mean CMI with two sample T-tests and the percentage of encounters classified as having Major Complications/Comorbidities (MCC), with Complication/Comorbidity (CC), and without CC/MCC with tests of proportions. Results: Mean CMI increased significantly from 1.2 pre-intervention to 1.4 post-intervention implementation (P < .01). There was a pattern of increased MCC percentages for "Bacterial infections," "Other Disorders of Nervous System", "Multiple Sclerosis," and "Nervous System Neoplasms" diagnosis related groups post-intervention. Conclusions: This pilot study describes the creation of an innovative EHR discharge diagnosis documentation tool in collaboration with neurology healthcare providers, the clinical documentation improvement team, and neuro-informaticists. This novel discharge diagnosis documentation tool demonstrates promise in increasing CMI, shifting diagnosis related groups to a greater proportion of those with MCC, and improving the quality of clinical documentation.

Facial diplegia with paresthesia associated with anti-GD1a antibodies.

A 26-year-old previously healthy man presented with progressive facial diplegia and sensory deficits to pinprick in a stocking-glove distribution. Lumbar puncture revealed cytoalbuminologic dissociation, and a nerve conduction study of the right facial nerve demonstrated a proximal demyelinating process. He was started on intravenous immunoglobulin given concern for a Guillain-Barré syndrome variant, and his symptoms improved over several days. This case illustrates the clinical features of facial diplegia with paresthesias, a rare variant of Guillain-Barré syndrome. Unlike most reported cases of facial diplegia with paresthesias that have demonstrated positive anti-ganglioside M2 antibodies, this case is unique given the positivity of anti-ganglioside D1a IgG/IgM antibodies.

Emerging Subspecialties in Neurology: A Career as a Clinical Trialist in Neurology.

The recent therapeutic advances in the field of neurology highlight the importance of ongoing clinical trials. However, while clinical research in neurology has remained relatively stable over the past 10 years, there has been an interval decrease in neuroscience applicants for NIH funding, which has raised concerns about the pipeline and future of clinical research in neurology. Those interested in such a career can begin by identifying a preclinical neuroscience advance that has yet to be translated into clinical trial work or a clinical area of need based on conversations with patients and families. Once such an area of interest is identified, seeking mentors either at one's own local institution or through networking at conferences is important in developing the necessary skills pertaining to clinical trial conduct and design and in gaining access to the relevant professional networks. There is also a myriad of training opportunities, such as the NINDS Clinical Trials Methodology Course, Masters of Science in Clinical Research, and certificate programs that offer formal training. Additional considerations for advancing in this career include exploring the potential for secondary publications using data available from previous clinical trials or serving as a subinvestigator. Challenges in pursuing such a career include the relatively low rate of positive outcomes compared with other fields and consistent salary support throughout one's career. Overall, a career as a clinical trialist in neurology is rewarding because one is able to participate in advancing the field and offer potentially new treatments to their patients.

DNA methylation-based surrogates of plasma proteins are associated with Parkinson's disease risk.

BACKGROUND: The epigenome may reflect Parkinson's disease (PD) risk, which serves as a point of convergence of genetic and environmental risk factors. Here, we investigate whether blood DNA methylation (DNAm) markers are associated with PD risk. METHODS: We selected 12 plasma proteins known as predictors of cardiovascular conditions and mortality to evaluate their effects on PD risk in a case-control study. In lieu of protein level measures, however, we assessed the influence of their DNAm surrogates. Primary analysis was restricted to 569 PD patients and 238 controls with DNAm data available. Using univariate logistic regression, we evaluated associations between the DNAm markers and PD. RESULTS: Of the 12 DNAm surrogates, the most robustly associated were DNAm EFEMP-1 and DNAm CD56, which were associated with PD with and without controlling for blood cell composition. DNAm EFEMP-1 was associated with a decreased risk of PD (OR = 0.83 per SD, 95% CI = 0.70, 0.98) whereas DNAm CD56 was associated with an increased risk of PD (OR = 1.41, 95% CI = 1.11, 1.79). CONCLUSIONS: Several DNAm markers, selected as part of a panel to track cardiovascular outcomes and mortality, were associated with PD risk. DNAm markers may inform of factors that are affected differentially in early PD patients compared with controls.

Hospital and demographic characteristics associated with inpatient neurological services in the United States.

OBJECTIVE: To determine nationwide availability and factors associated with inpatient neurological services. PATIENTS AND METHODS: Using the 2011 American Hospital Association survey, we determined the proportion of hospitals that provided inpatient neurological services. Demographic and household data from the 2010 national census and survey results were utilized to determine regional factors associated with the availability of inpatient neurologic services. Using rate ratios, the association was estimated using Poisson regression. Hospitals lacking emergency departments or with a bed size of less than 25 beds were excluded to focus on acute care facilities with the potential to have subspecialty services. RESULTS: Of 3969 hospitals that completed the survey, 2017 (65%) provided inpatient neurological services. Hospitals with Joint Commission (JC) accreditation were 1.35 times more likely (95% CI: 1.16-1.57) to have inpatient neurological services. Compared to small hospitals (bed size 25-36), large hospitals (bed size 246-2264) were 4.53 times more likely (95% CI: 2.79-7.35) to provide inpatient neurological services. Hospitals that were the sole community provider or were non-federal governmental hospitals had a lower probability of providing inpatient neurological services with rate ratio of 0.65 (95% CI: 0.5-0.84) and 0.81 (95% CI: 0.7-0.94), respectively. CONCLUSIONS: Approximately two-thirds of hospitals in this nationwide survey provided hospital-based neurological services. Larger hospitals and those with JC accreditation were more likely to provide neurological services, whereas small hospitals, sole community providers, and non-federal governmental hospitals were less likely to provide them.

Utilization of Emergent Neuroimaging for Thrombolysis-Eligible Stroke Patients.

BACKGROUND: Advances in diagnostic imaging of stroke include multimodal techniques such as noninvasive angiography and perfusion imaging. We aimed to characterize trends in neuroimaging utilization among acute stroke patients. Utilization of multimodal imaging for acute stroke in the community has remained largely uncharacterized despite its increased adoption at academic medical centers. METHODS: We quantified neuroimaging utilization in the emergency department (ED) for 1,700 hyperacute stroke patients presenting <2 hours after symptom onset who participated in the National Institutes of Health Field Administration of Stroke Therapy-Magnesium (FAST-MAG) study throughout Los Angeles and Orange Counties. FAST-MAG provided no recommendation as to imaging utilization. RESULTS: A total of 1,700 cases were imaged a median (interquartile range [IQR]) of 92 (74-120) minutes after last known well time and 28 (19-41) minutes after ED arrival. The initial scanner used in the ED was computed tomography (CT) in a preponderance of cases (N = 1,612, 95%), with magnetic resonance imaging (MRI) in 88 cases (5%). CT angiography (CTA) was obtained in 192 (11%) and perfusion CT (CTP) in 91 (5.4%) cases. MRI imaging was universally obtained using diffusion-weighted images, 60% with MR angiography and 33% included perfusion imaging. Rates of concomitant CTA or CTP use increased in the later years of the study from 4% in 2005-2006, 2% in 2007-2008, 8% in 2009-2010, and 26% in 2011-2012 (P for trend < .001). CONCLUSIONS: Among acute stroke patients, noncontrast CT was the most common initial imaging strategy in clinical practice in the 2005-2012 time period, though use of concomitant CTA grew to one-quarter of cases, suggestive of an upward trend.

T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson's Disease.

BACKGROUND: The nigrosome-1 region of the substantia nigra (SN) undergoes the greatest and earliest dopaminergic neuron loss in Parkinson's disease (PD). As T2-weighted magnetic resonance imaging (MRI) scans are often collected with routine clinical MRI protocols, this investigation aims to determine whether T2-imaging changes in the nigrosome-1 are related to clinical measures of PD and to assess their potential as a more clinically accessible biomarker for PD. METHODS: Voxel intensity ratios were calculated for T2-weighted MRI scans from 47 subjects from the Parkinson's Progression Markers Initiative database. Three approaches were used to delineate the SN and nigrosome-1: (1) manual segmentation, (2) automated segmentation, and (3) area voxel-based morphometry. Voxel intensity ratios were calculated from voxel intensity values taken from the nigrosome-1 and two areas of the remaining SN. Linear regression analyses were conducted relating voxel intensity ratios with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) sub-scores for each subject. RESULTS: For manual segmentation, linear regression tests consistently identified the voxel intensity ratio derived from the dorsolateral SN and nigrosome-1 (IR2) as predictive of nBehav (p = 0.0377) and nExp (p = 0.03856). For automated segmentation, linear regression tests identified IR2 as predictive of Subscore IA (nBehav) (p = 0.01134), Subscore IB (nExp) (p = 0.00336), Score II (mExp) (p = 0.02125), and Score III (mSign) (p = 0.008139). For the voxel-based morphometric approach, univariate simple linear regression analysis identified IR2 as yielding significant results for nBehav (p = 0.003102), mExp (p = 0.0172), and mSign (p = 0.00393). CONCLUSION: Neuroimaging biomarkers may be used as a proxy of changes in the nigrosome-1, measured by MDS-UPDRS scores as an indicator of the severity of PD. The voxel intensity ratio derived from the dorsolateral SN and nigrosome-1 was consistently predictive of non-motor complex behaviors in all three analyses and predictive of non-motor experiences of daily living, motor experiences of daily living, and motor signs of PD in two of the three analyses. These results suggest that T2 changes in the nigrosome-1 may relate to certain clinical measures of PD. T2 changes in the nigrosome-1 may be considered when developing a more accessible clinical diagnostic tool for patients with suspected PD.

The coffee paradox in stroke: Increased consumption linked with fewer strokes.

OBJECTIVE: To determine the association in amount of daily coffee consumption with incidence of stroke in a broad cohort, considering other vascular risk factors. METHODS: We utilized the Third National Health and Nutrition Examination Survey (1988-1994; NHANES III) data on participants aged ≥17 years old to examine coffee consumption and stroke. Multivariate logistic regression models related the amount of coffee use reported in a food frequency questionnaire with stroke, controlling for other vascular risk factors. RESULTS: Of 33 994 NHANES III subjects, coffee consumption and stroke data in adults ≥17 years old were available in 19 994. Daily coffee consumption ranged from 0 to 20 (median 1) cups and 644 (3.2%) participants had a stroke diagnosed by a physician. Coffee intake varied with age, gender, and ethnicity (P < 0.001). Interestingly, heart failure, diabetes, and hypertension were less frequent, and high cholesterol more frequent in those consuming ≥3 cups per day (P < 0.001). Smoking was more frequent in all coffee drinkers (P < 0.0001). Multivariate analyses revealed an independent effect of heavier coffee consumption (≥3 cups/day) on reduced stroke (OR 0.44, 95% CI 0.22-0.87, P < 0.02) in healthy subjects that was attenuated by vascular risk factors (OR 0.78, 95% CI 0.58-1.07, P ≈ 0.12). CONCLUSION: Heavier daily coffee consumption is associated with decreased stroke prevalence, despite smoking tendency in heavy coffee drinkers.

Basilar artery territory stroke secondary to invasive fungal sphenoid sinusitis: a case report and review of the literature.

BACKGROUND: Mucormycosis is a fungal infection with the following 5 classic forms: cutaneous, pulmonary, gastrointestinal, disseminated, and rhinocerebral. The rhinocerebral form can be rapidly progressive and invasive with a high mortality rate. We present a case of a 38-year-old man with invasive mucormycosis that led to a basilar artery territory stroke. Rhinocerebral mucormycosis is an unusual cause of stroke. CASE REPORT: A 38-year-old man with a past medical history of diabetes mellitus presented with altered mental status. A lumbar puncture revealed eosinophilic pleocytosis with a mildly elevated total protein and borderline low glucose level. CT revealed a left medullary and cerebellar infarct confirmed by MRI. MRI also displayed a diffuse marrow signal abnormality in the clivus with contiguous sinus disease. Endoscopic sinus surgery confirmed that the fungal sinusitis was mucormycosis of the Rhizopus genus, which had affected the left sphenoid sinus, invaded through the skull base, and involved the basilar artery. He was given liposomal amphotericin (500 mg i.v.) with posaconazole (400 mg i.v. twice daily). Due to the severity of the invasion and poor prognosis, the patient was discharged with comfort care measures. DISCUSSION: Clinicians should be aware of invasive sinusitis as a rare cause of stroke in diabetics. Once the subarachnoid space and basal arteries of the brain have been invaded, the prognosis is very poor. The key to improvement of outcomes is early recognition and treatment, and examination of the sinuses on neuroimaging in all cases of stroke is vital.

Analysis of Parkinson's disease pathophysiology using an integrated genomics-bioinformatics approach.

The pathogenesis and pathophysiology of a disease determine how it should be diagnosed and treated. Yet, understanding the cause and mechanisms of progression often requires intensive human efforts, especially for diseases with complex etiology. The latest genomic technology coupled with advanced, large-scale data analysis in the field known as bioinformatics has promised a high-throughput approach that can quickly identify disease-affected genes and pathways by examining tissue samples collected from patients and control subjects. Furthermore, significant biological themes indicative of genomic events can be recognized on the basis of affected genes. However, given identified biological themes, it is not clear how to organize genomic events to arrive at a coherent pathophysiological explanation about the disease. To address this important issue, we have developed an innovative method named "Expression Data Up-Stream Analysis" (EDUSA) that can perform a bioinformatics analysis to identify and rank upstream processes effectively. We applied it to Parkinson's disease (PD) using a genomic data set available at a public data repository known as Gene Expression Omnibus (GEO). In this study, disease-affected genes were identified using GEO2R software, and disease-pertinent processes were identified using EASE software. Then the EDUSA program was used to determine the upstream versus downstream hierarchy of the processes. The results confirmed the current misfolded protein theory about the pathogenesis of PD, and provided new insights as well. Particularly, our program discovered that RNA (ribonucleic acid) metabolism pathology was a potential cause of PD, which in fact, is an emerging theory of neurodegenerative disorders. In addition, it was found that the dysfunction of the transport system seemed to occur in the early phase of neurodegeneration, whereas mitochondrial dysfunction appeared at a later stage. Using this methodology, we have demonstrated how to determine the stages of disease development with single-point data collection.

Predictive factors of neurological complications and one-month mortality after liver transplantation.

BACKGROUND: Neurological complications are common after orthotopic liver transplantation (OLT). We aimed to characterize the risk factors associated with neurological complications and mortality among patients who underwent OLT in the post-model for end-stage liver disease (MELD) era. METHODS: In a retrospective review, we evaluated 227 consecutive patients at the Keck Hospital of the University of Southern California before and after OLT to define the type and frequency of and risk factors for neurological complications and mortality. RESULTS: Neurological complications were common (n = 98), with encephalopathy being most frequent (56.8%), followed by tremor (26.5%), hallucinations (11.2%), and seizure (8.2%). Factors associated with neurological complications after OLT included preoperative dialysis, hepatorenal syndrome, renal insufficiency, intra-operative dialysis, preoperative encephalopathy, preoperative mechanical ventilation, and infection. Preoperative infection was an independent predictor of neurological complications (OR 2.83, 1.47-5.44). One-month mortality was 8.8% and was independently associated with urgent re-transplant, preoperative intubation, and intra-operative arrhythmia. CONCLUSION: Neurological complications are common in patients undergoing OLT in the post-MELD era, with encephalopathy being most frequent. An improved understanding of the risk factors related to both neurological complications and one-month mortality post-transplantation can better guide perioperative care and help improve outcomes among OLT patients.