Access to preferred skilled nursing facilities: Transitional care pathways for patients with Alzheimer's disease and related dementias.

OBJECTIVE: The study aimed to assess whether individuals with Alzheimer's disease and related dementias (ADRD) experience restricted access to hospitals' high-volume preferred skilled nursing facility (SNF) partners. DATA SOURCES: The data source includes acute care hospital to SNF transitions identified using 100% Medicare Provider Analysis and Review files, 2017-2019. STUDY DESIGN: We model and compare the estimated effect of facility "preferredness" on SNF choice for patients with and without ADRD. We use conditional logistic regression with a 1:1 patient sample otherwise matched on demographic and encounter characteristics. DATA COLLECTION: Our matched sample included 58,190 patients, selected from a total observed population of 3,019,260 Medicare hospitalizations that resulted in an SNF transfer between 2017 and 2019. PRINCIPAL FINDINGS: Overall, patients with ADRD have a lower probability of being discharged to a preferred SNF (52.0% vs. 54.4%, p < 0.001). Choice model estimation using our matched sample suggests similarly that the marginal effect of preferredness on a patient choosing a proximate SNF is 2.4 percentage points lower for patients with ADRD compared with those without (p < 0.001). The differential effect of preferredness based on ADRD status increases when considering (a) the cumulative effect of multiple SNFs in close geographic proximity, (b) the magnitude of the strength of hospital-SNF relationship, and (c) comparing patients with more versus less advanced ADRD. CONCLUSIONS: Preferred relationships are significantly predictive of where a patient receives SNF care, but this effect is weaker for patients with ADRD. To the extent that these high-volume relationships are indicative of more targeted transitional care improvements from hospitals, ADRD patients may not be fully benefiting from these investments. Hospital leaders can leverage integrated care relationships to reduce SNFs' perceived need to engage in selection behavior (i.e., enhanced resource sharing and transparency in placement practices). Policy intervention may be needed to address selection behavior and to support hospitals in making systemic improvements that can better benefit all SNF partners (i.e., more robust information sharing systems).

Late-onset Tay-Sachs disease presenting with a neuromuscular phenotype-a case series.

BACKGROUND AND PURPOSE: Tay-Sachs disease is a rare and often fatal, autosomal recessive, lysosomal storage disease. Deficiency in ß-hexosaminidase leads to accumulation of GM2 ganglioside resulting in neuronal swelling and degeneration. Typical onset is in infancy with developmental regression and early death. Late-onset Tay-Sachs disease (LOTS) is extremely rare, especially in the non-Ashkenazi Jewish population, and is characterized by a more indolent presentation typically encompassing features of cerebellar and anterior horn cell dysfunction in addition to extrapyramidal and neuropsychiatric symptoms. CASES: A case series of four unrelated patients of non-Ashkenazi Jewish origin with a predominantly, and in some cases pure, neuromuscular phenotype with evidence of a motor neuronopathy on electromyography is presented. Cerebellar atrophy, reported to be a ubiquitous feature in LOTS, was absent in all patients. CONCLUSION: This case series provides evidence to support a pure neuromuscular phenotype in LOTS, which should be considered in the differential diagnosis of anterior horn cell disorders.

A Machine Learning Approach for Sex and Age Classification of Paediatric EEGs.

Electroencephalography (EEG) is an important investigation of childhood seizures and other brain disorders. Expert visual analysis of EEGs can estimate subjects' age based on the presence of particular maturational features. The sex of a child, however, cannot be determined by visual inspection. In this study, we explored sex and age differences in the EEGs of 351 healthy male and female children aged between 6 and 10 years. We developed machine learning-based methods to classify the sex and age of healthy children from their EEGs. This preliminary study based on small EEG numbers demonstrates the potential for machine learning in helping with age determination in healthy children. This may be useful in distinguishing developmentally normal from developmentally delayed children. The model performed poorly for estimation of biological sex. However, we achieved 66.67% accuracy in age prediction allowing a 1 year error, on the test set.

Amplitude Integrated Electroencephalography: Simulated Assessment of Neonatal Seizure Detection in PICU Patients.

OBJECTIVES: Amplitude integrated electroencephalography (aEEG) is a mainstay of care in neonatal ICUs; however, knowledge gaps exist in relation to its accuracy for identifying seizures in older children. We aimed to review the diagnostic accuracy of existing neonatal seizure detection criteria for seizure detection in older children in hospital. DESIGN: Retrospective study. SETTING: PICU/Neurophysiology Department in Dublin. PATIENTS: One hundred twenty patients (2 mo to 16 yr old) were chosen from a database of formal 10-20 system, 21-lead electroencephalography recordings (2012-2020), comprising 30 studies with seizures, 90 without. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Electroencephalography studies containing electrographic seizures (ESzs) were annotated to describe number, duration, distribution, and spread. Two-channel aEEG (using leads C3-P3, C4-P4) recordings were generated and independently reviewed by a professional specialist in clinical neurophysiology blinded to outcome and without reference to the raw electroencephalography trace. Logistic regression was used to identify factors associated with correct seizure identification on aEEG. Median patient age was 6.1 years. Abnormal recordings featured 123 seizures. Status epilepticus (SE) was evident by electroencephalography in 10 cases. Using neonatal criteria, aEEG had a sensitivity of 70% and negative predictive value of 90% for identifying any ESz. Accurate detection of individual seizures was diminished when seizures were very short or occurred during waking. Sensitivity for individual seizures was 81% when seizures less than 1 minute were excluded. aEEG correctly identified SE in 70% of the 10 cases, although ESz were confirmed to be present in 80% of this subpopulation. CONCLUSIONS: aEEG criteria for neonatal seizure identification can be applied with caution to older children and should be supplemented by formal electroencephalography. Seizure identification is better for longer seizures and those arising from sleep. SE is not always recognized by aEEG among older children.

First identification of Xanthomonas nasturtii as the cause of black rot of watercress in Hawaii.

Watercress (Nasturtium officinale) has been in continuous production in Hawaii for over a century and is part of the local diet. Black rot of watercress was first identified as caused by Xanthomonas nasturtii in Florida (Vicente et al., 2017), but symptoms of this disease have also been regularly observed in Hawaii production in all islands, mostly during the rainy season from December to April in areas with poor air circulation (McHugh & Constantinides, 2004). Initially, this disease was attributed to X. campestris due to similar symptoms to black rot of brassicas. Samples of watercress with symptoms that could be attributed to a bacterial disease including yellow spots and lesions on leaves and stunting and deformation of plants in more advanced stages, were collected from a farm in Aiea in the island of Oahu, Hawaii, in October 2017. Isolations were performed at the University of Warwick. Fluid from macerated leaves was streaked into plates of King's B (KB) medium and Yeast Dextrose Calcium Carbonate Agar (YDC). After 48-72 hrs incubation at 28°C, the plates showed a range of mixed colonies. Single cream-yellow mucoid colonies were sub-cultured several times and pure isolates including WHRI 8984 were stored at -76°C as previously described (Vicente et al., 2017). Colony morphology was observed in KB plates and, in contrast to the type strain from Florida (WHRI 8853 = NCPPB 4600), isolate WHRI 8984 did not cause browning of the medium. Pathogenicity was tested on four-week old watercress and Savoy cabbage cv. Wirosa F1 plants by inoculations on leaves as previously described (Vicente et al., 2017). WHRI 8984 did not produce symptoms when inoculated on cabbage but produced typical symptoms on watercress. A re-isolation from a leaf showing a V-shaped lesion, produced isolates with the same morphology, including isolate WHRI 10007A, that was also shown to be pathogenic to watercress therefore completing the Koch's postulates. Fatty acid profiling was performed on WHRI 8984 and 10007A and controls grown on trypticase soy broth agar (TSBA) plates at 28°C for 48 hrs as described by Weller et al. (2000). Profiles were compared with the RTSBA6 v6.21 library; as the database does not include X. nasturtii, the results were only interpreted at the genus level, and both isolates were shown to be Xanthomonas sp. For molecular analysis, DNA was extracted and the gyrB partial gene was amplified and sequenced as described by Parkinson et al. (2007). Comparisons with sequences available in the National Centre for Biotechnology Information (NCBI) databases using the Basic Local Alignment Search Tool (BLAST) showed that partial gyrB of WHRI 8984 and 10007A were identical to the type strain from Florida therefore confirming that they belong to X. nasturtii. For whole genome sequencing, genomic libraries for WHRI 8984 were prepared using Illumina's Nextera XT v2 kit and sequenced on a HiSeq Rapid Run flowcell. The sequences were processed as previously described (Vicente et al., 2017) and the whole genome assembly has been deposited in GenBank (accession QUZM00000000.1); the phylogenetic tree shows that WHRI 8984 is close, but not identical to the type strain. This is the first identification of X. nasturtii in watercress crops in Hawaii. Control of this disease generally involves the use of copper bactericides and minimizing moisture on leaves by reducing overhead irrigation and increasing air circulation (McHugh & Constantinides, 2004); seed testing might help to select batches that are disease free and, in longer term, breeding for disease resistance might produce cultivars that can be part of management strategies.

Evaluating a Care Management Program for Dual-Eligible Beneficiaries: Evidence from Rhode Island.

As health systems attempt to contain utilization and costs, care management programs are proliferating. However, there are mixed findings on their impact. In 2018, Rhode Island initiated a care management program for dually eligible Medicare and Medicaid beneficiaries at high risk of hospitalization or institutionalization. The objective of this study is to evaluate the association between health care utilization and costs and care management for dual-eligible participants (n = 169). The authors employed an interrupted time series analysis of administrative claims data using the Rhode Island All Payer Claims Database, which includes data from all major payers in the state, for 11 quarters (January 1, 2017 until September 1, 2019). On average, participants were younger (46.2% were 19-64 years of age vs. 41.9% of non-participants), female (71% vs. 62.6% of non-participants), and had a higher comorbidity burden (more commonly had anemia, atrial fibrillation, chronic kidney disease, chronic obstructive pulmonary disease, depression, diabetes, heart failure, hyperlipidemia, hypertension, ischemic heart disease, and stroke). Participation was associated with significantly fewer hospital admissions (118 fewer admissions per 1000 admissions per quarter; 95% confidence interval [CI] -11 to -22), and a reduction in Medicaid ($1841 less spent per quarter, 95% CI -2407 to -1275) and total ($2570 less spent per quarter; 95% CI -$4645 to -$495) costs. Participation was not significantly associated with a change in Emergency Department (ED) visits, preventable ED visits, Skilled Nursing Facility stays, or Medicare costs. These results suggest that targeted care management programs may provide dual-eligible beneficiaries with needed services while diverting inefficient health care utilization.

Primary Care Practice Structural Capabilities and Emergency Department Utilization Among High-Need High-Cost Patients.

BACKGROUND: US primary care practices are actively identifying strategies to improve outcomes and reduce costs among high-need high-cost (HNHC) patients. HNHC patients are adults with high health care utilization who suffer from multiple chronic medical and behavioral health conditions such as depression or substance abuse. HNHC patients with behavioral health conditions face heightened challenges accessing timely primary care and managing their conditions, which is reflected by their high rates of emergency department (ED) utilization and preventable spending. Structural capabilities (i.e., care coordination, chronic disease registries, shared communication systems, and after-hours care) are key attributes of primary care practices which can enhance access and quality of chronic care delivery. OBJECTIVE: The purpose of this study was to analyze the association between structural capabilities and ED utilization among HNHC patients with behavioral health conditions. DESIGN AND MEASURES: We merged cross-sectional survey data on structural capabilities from 240 primary care practices in Arizona and Washington linked with Medicare claims data on 70,182 HNHC patients from 2019. KEY RESULTS: Using multivariable Poisson models, we found shared communication systems were associated with lower rates of all-cause and preventable ED utilization among HNHC patients with alcohol use (all-cause: aRR 0.72, 95% CI: 0.62, 0.84; preventable: aRR 0.5, 95% CI: 0.40, 0.64) and HNHC patients with substance use disorders (all-cause: aRR 0.76, 95% CI: 0.68, 0.85; preventable: aRR 0.61, 95% CI: 0.52, 0.71). Care coordination was also associated with decreased rates of ED utilization among the overall HNHC population and those with alcohol use, but not among HNHC patients with depression or substance use disorders. CONCLUSION: Shared communication systems and care coordination have the potential to increase the effectiveness of primary care delivery for specific HNHC patients.

Living Your Best Life: Lifestyle Medicine for All Women.

In an era of ever-increasing healthcare expenditures, yet simultaneously worsening outcomes, many of our patients choose between traditional medical care or often unproven alternative therapies. While the recognition of lifestyle change in addressing cardiovascular and metabolic disease grows, there is less understanding of the impact of lifestyle change on issues facing women every day. Millions of women around the globe struggle with infertility, cancer, sexual dysfunction, and dermatologic needs. Yet, research on the benefits of lifestyle change on these conditions is scarce, and gaps exist both in our understanding of evidence-based approaches to address these issues, as well as adequate provider education when evidence exists. The Women's Health Member Interest Group convened medical experts in these areas that affect women's lives to provide insights and meaningful education applicable not only for our patients, but also in our own lives.

Amplitude integrated electroencephalography - Reference values in children aged 2 months to 16 years.

AIM: Amplitude integrated electroencephalography (aEEG) is a bedside neuromonitoring tool, standard within neonatal critical care provision. Its application in children is increasing but normative data underpinning such use are lacking. We present a dataset of normative aEEG values for children aged 2 months to 16 years. METHODS: This retrospective observational cohort study derives aEEG normative amplitude characteristics from electroencephalograms (EEGs) recorded in Children's Health Ireland at Crumlin. aEEG was derived from 350 normal EEGs, recorded in children aged 2 months to 16 years. Supplementary aEEGs were derived from children with abnormal EEG traces. Median upper and lower margin amplitudes and bandwidth were calculated from 5 min waking and sleeping EEG epochs. RESULTS: aEEG amplitudes vary with age and state, increasing over the first 2 years of life before diminishing. Upper and lower margin amplitudes and bandwidth are greater during sleep for children <6 years. Reference ranges may be cohorted into two groups (upper and lower reference limits; <6 years - 38 µV/7 µV awake, 54 µV/10 µV asleep; >6 years - 33 µV/5 µV awake, 36 µV/6 µV asleep). CONCLUSION: aEEG traces evolve with age in childhood and differ from neonatal values. We provide a comprehensive set of aEEG normatives to facilitate clinical interpretation in older children.

Ictal aphasia in LGI1-related autosomal dominant epilepsy with auditory features.

Autosomal dominant epilepsy with auditory features (OMIM 600512) is characterised by focal seizures with distinctive auditory auras and/or ictal aphasia. We describe a 17-year-old girl with recurrent attacks of ictal aphasia and rare nocturnal convulsions. She had a four-generation paternal family history of epilepsy. Her father and aunt perceived bells ringing at the onset of seizures. Sequence analysis of the leucine-rich glioma-inactivated 1 (LGI1) gene identified a novel heterozygous variant in the proband and her father. LGI1-related genetic epilepsy has a benign clinical course with a favourable response to anti-seizure medications. Auditory or vertiginous seizures may be mistaken for peripheral audio-vestibular symptoms, while complex auditory ictal symptoms may be misattributed to primary psychiatric disorders. Recognising this distinctive inherited syndrome should prompt targeted analysis of the LGI1 gene.

Does specificity of electrodiagnostic test referrals predict test outcome in children?

INTRODUCTION/AIMS: Electrodiagnostic testing (EDX) is important in evaluation of pediatric neuromuscular disease. Non-specific referrals have emerged as a leading reason for EDX in recent years. We examine whether referral-specificity is predictive of test outcomes in children. METHODS: EDX referrals and outcomes were audited over a 7-year period from 2013 to 2020 at CHI-Crumlin. Pre-test details were coded and compared to EDX outcomes using multinomial logistic regression. RESULTS: EDX studies were performed in 702 children (median age 10.2 years). In 36% of patients, EDX-referrals did not specify any pre-test diagnosis. Mononeuropathy (24%) and polyneuropathy (15%) were the leading pre-specified diagnoses as well as the most common test outcomes. Neurology and orthopedics/plastic surgery contributed the majority of referrals. Metabolic medicine and hematology/oncology were most likely to pre-specify a working diagnosis and were the specialties with both the highest proportion of abnormal outcomes and referral accuracy. EDX abnormality was present in 42% of patients and was predicted by specificity of referral and the absence of pain as a leading symptom. The accuracy of specified pre-test diagnoses was highest for suspected anterior horn cell disorders (67%). Accuracy of referrals, as well as abnormal test outcomes, were negatively predicted by the presence of pain as a leading symptom. DISCUSSION: EDX is informative in children but the likelihood of abnormal test-outcomes is diminished when a pre-specified working diagnosis is lacking or when the primary reason for referral is pain.

Lifestyle Medicine for Women: The Time Is Now!

As the founders of the American College of Lifestyle Medicine's Women's Health Member Interest Group, we welcome this issue focused on the important issues facing women, their providers, and researchers in this field. Women's health extends beyond sex-specific reproductive health issues, by also encompassing the medical conditions that are more prevalent in women as well as conditions that are expressed differently in women. Inadequate representation of women in clinical research has contributed to poorer outcomes. As lifestyle medicine forms the foundation of true health, the time is now to recognize and address these issues with research, education, and advocacy.

Neurophysiological and ophthalmological findings of SPG7-related spastic ataxia: a phenotype study in an Irish cohort.

BACKGROUND: Mutations in SPG7 are increasingly identified as a common cause of spastic ataxia. We describe a cohort of Irish patients with recessive SPG7-associated phenotype. METHODS: Comprehensive phenotyping was performed with documentation of clinical, neurophysiological, optical coherence tomography (OCT) and genetic data from individuals with SPG7 attending two academic neurology units in Dublin, including the National Ataxia Clinic. RESULTS: Thirty-two symptomatic individuals from 25 families were identified. Mean age at onset was 39.1 years (range 12-61), mean disease duration 17.8 years (range 5-45), mean disease severity as quantified with the scale for the assessment and rating of ataxia 9/40 (range 3-29). All individuals displayed variable ataxia and spasticity within a spastic-ataxic phenotype, and additional ocular abnormalities. Two had spasmodic dysphonia and three had colour vision deficiency. Brain imaging consistently revealed cerebellar atrophy (n = 29); neurophysiology demonstrated a length-dependent large-fibre axonal neuropathy in 2/27 studied. The commonest variant was c.1529C > T (p.Ala510Val), present in 21 families. Five novel variants were identified. No significant thinning of average retinal nerve fibre layer (RNFL) was demonstrated on OCT (p = 0.61), but temporal quadrant reduction was evident compared to controls (p < 0.05), with significant average and temporal RNFL decline over time. Disease duration, severity and visual acuity were not correlated with RNFL thickness. CONCLUSIONS: Our results highlight that recessive SPG7 mutations may account for spastic ataxia with peripheral neuropathy in only a small proportion of patients. RNFL abnormalities with predominant temporal RNFL reduction are common and OCT should be considered part of the routine assessment in spastic ataxia.

Higher hospital referral concentration associated with lower-risk patients in skilled nursing facilities.

OBJECTIVE: To examine whether stronger referral relationships between hospitals and skilled nursing facilities (SNF) are associated with lower-risk patients being admitted to SNF. DATA SOURCES/COLLECTION: We used MedPAR data to estimate referral relationship strength and nursing home survey data (OSCAR and CASPER) to determine the risk of patient admissions at nearly 14 000 SNFs from 2008 to 2014. STUDY DESIGN: We examined the association of hospital referral concentration with the percentage of higher-risk patients admitted to non-hospital-based (freestanding) SNFs using an instrumental variables approach. We used the distance between patients and SNFs and hospitals and SNFs as the instrument. DATA COLLECTION/EXTRACTION METHODS: We used previously collected MedPAR and OSCAR/CASPER survey data. PRINCIPAL FINDINGS: We find greater observed referral concentration among freestanding SNFs is associated with lower percentages of patients with pressure sores (coefficient, -2.64; 95% CI, [-2.82 to -2.46]), catheters (-0.55; [-0.74 to -0.36]), and physical restraints (-0.16; [-0.29 to -0.03]) at admission to a skilled nursing facility. CONCLUSIONS: We find evidence that freestanding SNFs with stronger hospital referral relationships may be admitting less risky patients, possibly contributing to disparities across SNFs.

Measuring the effects of pre-test probability on out-patient first EEG investigation in children - A guide to evidence-based EEG triage in a pandemic.

INTRODUCTION: The yield of epileptiform EEG abnormalities is lower in unselected Paediatric populations than in prospective studies of incident seizures or prevalent epilepsy studies. At a time of limited capacity, it is important to match available EEG resources to children who are most likely to benefit. In this study we evaluated a prospective triage tool for estimating the likelihood of epileptiform abnormality in children's first out-patient EEG. METHODS: We prospectively triaged 1865 out-patient referrals to the largest Paediatric EEG laboratory in Ireland. Based on a structured algorithm, we dichotomized first EEG referrals into priority and non-priority groups and assigned one of 5 sub-levels based on anticipated EEG yield. EEGs were reported by a single Consultant in Clinical Neurophysiology. RESULTS: Triage designated 757 (41 %) EEG referrals as non-priority. Priority exceeded non-priority referrals for all age groups except children between 18 months and 3.5 years. EEGs showed a two-fold higher incidence of interictal epileptiform abnormalities for priority referrals (36 % vs 18 %, p < 0.001). Rates of interictal epileptiform abnormality correlated with the 5 sub-levels of triage (p < 0.01). Epileptiform yield was highest (39 %) for children over 5 years vs 17 % for those under 5 years (p < 0.00001); these rates increased to 49 % and 20 % respectively for priority referrals. CONCLUSION: Structured pre-test triage of EEG referrals can identify children who have the greatest likelihood of epileptiform abnormality. In a mixed population of Paediatric referrals, the epileptiform yield of first time EEG is 49 % for children over 5 years who are referred with an appropriate EEG indication. This is subject to much variability with epileptiform yields as low as 13 % in younger children with non-priority referrals. The use of a structured triage algorithm can help to optimise utility of EEG in situations of limited laboratory capacity.

EEG in the Pediatric Intensive Care Unit: An Irish Experience.

INTRODUCTION: Evidence for continuous EEG monitoring in the pediatric intensive care unit (PICU) is increasing. However, 24/7 access to EEG is not routinely available in most centers, and clinical management is often informed by more limited EEG resources. The experience of EEG was reviewed in a tertiary PICU where 24/7 EEG cover is unavailable. METHODS: Retrospective EEG and clinical review of 108 PICU patients. Correlations were carried out between EEG and clinical variables including mortality. The role of EEG in clinical decision making was documented. RESULTS: One hundred ninety-six EEGs were carried out in 108 PICU patients over 2.5 years (434 hours of recording). After exclusion of 1 outlying patient with epileptic encephalopathy, 136 EEGs (median duration, 65 minutes; range, 20 minutes to 4 hours 40 minutes) were included. Sixty-two patients (57%) were less than 12 months old. Seizures were detected in 18 of 107 patients (17%); 74% of seizures were subclinical; 72% occurred within the first 30 minutes of recording. Adverse EEG findings were associated with high mortality. Antiepileptic drug use was high in the studied population irrespective of EEG seizure detection. Prevalence of epileptiform discharges and EEG seizures diminished with increasing levels of sedation. CONCLUSIONS: EEG provides important diagnostic information in a large proportion of PICU patients. In the absence of 24/7 EEG availability, empirical antiepileptic drug utilization is high.

Readmission Reduction Strategies for Patients Discharged to Skilled Nursing Facilities: A Case Study From 2 Hospital Systems in 1 City.

BACKGROUND: Some hospitals seek integration with skilled nursing facilities (SNFs) to reduce readmissions while others focus more on patients discharged home. PURPOSE: Our objective was to understand different approaches for readmission reduction for patients discharged to SNFs based on contrasting strategies from 2 competing hospital systems. METHODS: Employing a case study methodology, we compared 1 hospital system that integrated with SNFs to a competing system that did not. We compared interview data from clinical and administrative staff and publicly reported rehospitalization rate changes from the 2 systems. RESULTS: Analysis of integrating hospital system interviews noted providing patients detailed discharge information and educating SNF staff regarding care protocols. Integrated hospital system all-cause readmission rates declined by nearly 1 percentage point more than the nonintegrated hospital system (coefficient, -0.008; 95% confidence interval, -0.003 to -0.012) between 2014 and 2017. CONCLUSION: As hospitals explore care transition improvements to SNFs, developing more embedded relationships highlights one approach to improve value.