Citations

ABSTRACT Background Sunlight has profound impacts on physical and mental health, beyond vision, including effects on circadian rhythms, alertness, mood, and sleep. A family history of any mood disorders is strongly associated with psychiatric disorders including bipolar disorder. The purpose of this study was to evaluate the association between a family history of any mood disorder in patients with bipolar I disorder and solar insolation at varied international onset locations. Methods Data for this analysis were available from 5842 patients with a diagnosis of bipolar I disorder obtained at 83 collection sites in both hemispheres. This included 4752 patients from 71 collection sites in the northern hemisphere and 1090 patients from 12 collection sites in the southern hemisphere. Patient data variables were obtained from records or interviews. Solar insolation data were obtained from The National Aeronautics and Space Administration (NASA) Power database for each onset location, and the ratio of the mean monthly minimum/mean monthly maximum solar insolation was calculated. Typically, the ratio is largest near the equator (little yearly change in solar insolation) and smallest near the poles (large yearly change in solar insolation). Results A significant relationship was found between a family history of any mood disorder, the ratio of the mean monthly minimum/mean monthly maximum solar insolation, and gender. The odds of a family history of mood disorder increased as patient location nears the poles and decreased near the equator. Female gender also increased the odds of having a family history of a mood disorder. Conclusions This study highlighted the association between family history, solar insolation, and gender in international patients with bipolar I disorder. Given the profound effects of sunlight on human health, the family of patients with bipolar disorder who live in the same location with the same solar insolation, and especially females, may be at increased risk for a mood disorder.

Abstract INTRODUCTION Globular glial tauopathy (GGT) is a rare type of frontotemporal lobar degeneration (FTLD) characterized by deposition of 4‐repeat tau. Detecting GGT with tau positron emission tomography (tau‐PET) is challenging. We aim to determine the associations between tau‐PET, autoradiography, and neuropathology methods in GGT. METHODS We identified three patients with GGT who had completed antemortem tau‐PET. Healthy control and two patients with Alzheimer's disease (AD) were also included for comparison. We analyzed gray matter (GM) and white matter (WM) from the superior/middle frontal gyrus (S/M‐FG) and the superior/middle temporal gyrus (S/M‐TG). Immunohistochemical staining was performed with antibodies against phospho‐tau (AT8, PHF‐1, RD4), glial fibrillary acidic protein (GFAP), and resting microglia (ionized calcium‐binding adaptor molecule 1; Iba1). Immunofluorescence with a fluorescent tau‐PET analog (T726) was performed. Regional tau‐PET standardized uptake value ratios (SUVRs) were calculated for comparative GM and WM regions. Autoradiographic studies with 18F‐AV1451 were also conducted. RESULTS Tau‐PET showed increased uptake in the WM regions of the S/M‐FG and S/M‐TG in GGT, and the GM regions in AD. Co‐localization was observed between T726 and PHF‐1, RD4, and GFAP in the WM in the patients with GGT, whereas co‐localization was observed with PHF‐1 predominantly in the GM in AD. Little co‐localization was observed with Iba1. In vitro 18F‐AV1451 autoradiography studies demonstrated minimal binding in GGT. Tau‐PET differentiated underlying GGT from AD based on the relative involvement of the WM and GM. CONCLUSION Histopathologic findings suggest that some flortaucipir uptake in GGT may represent underlying 4R tau, whereas autoradiographic analysis suggests that uptake is likely due to off‐target binding. Further studies with larger cohorts are needed to determine the pathological basis of flortaucipir uptake in GGT.

ABSTRACT Background Primary lateral sclerosis (PLS) is an ultrarare upper motor neuron syndrome with a prognosis unique from classical ALS. The study of PLS is complicated by its rarity and the difficulty distinguishing PLS from ALS. We present data from a 1‐year prospective follow‐up study on PLS and efforts to distinguish it from ALS. Methods Seventy‐six PLS participants enrolled in this prospective natural history study. EMG studies, blood neurofilament light chain levels (NfLs), and demographic characteristics were obtained at baseline. At 1‐year follow‐up, repeat EMG studies were conducted to determine which participants fulfilled criteria for ALS. Baseline characteristics were then compared to determine features that predict reclassification. Results Seventy participants completed 1‐year follow‐up. Five of the 70 were reclassified to ALS (7.1%). Those reclassified had higher trends in baseline blood NfL levels (91.4 vs. 34.0 pg/mL, p = 0.13) and shorter symptom duration (39 vs. 69 months in the PLS group, p = 0.15). Reclassification was noted in both probable and definite PLS participants. All cases with a symptomatic duration of less than 2 years retained the PLS phenotype (5 of 5). NfL levels over 90 pg/mL predicted reclassification with 94% specificity and 60% sensitivity. No other features predicted reclassification to ALS. Conclusions In our population, reclassification of PLS to ALS occurred at a low frequency at 1 year follow‐up (7.1%). Baseline NfL was the strongest predictor in differentiating UMN dominant ALS from PLS at 1‐year follow‐up. Based on our data, we propose EMG and NfL criteria for enrollment in future PLS trials.

ABSTRACT Objectives Systematic evidence reviews (SERs) produced by the U.S. Agency for Healthcare Research and Quality (AHRQ) Evidence‐based Practice Center (EPC) Program use contextual questions to provide context and background information on the topic. There is currently no standardized approach to address contextual questions in systematic reviews. This study explored the use of publicly available large language models (LLMs) in addressing contextual questions. Study Design Using a set of 20 published and 5 yet to be published SERs, we selected one contextual question per report and used it as a prompt to elicit answers from an LLM (ChatGPT, Bard, Claude, or Perplexity). Two independent reviewers rated the results using a priori established evaluation criteria ( https://osf.io/4k3cu/ ), comparing the response in the SER to LLM‐generated responses. The study was guided by six research questions addressing feasibility, validity of content, validity of structure, mistakes, congruence between responses, and incremental validity of using LLMs to address contextual questions. Results Using minimal prompt engineering produced relevant responses and documented the feasibility of LLM‐generated answers to contextual questions. Responses differed in content and format and are not reproducible (e.g., LLMs update regularly), but LLMs were able to produce articulate, clinically plausible, and well‐structured responses. We detected few factual errors, contradictions, and no instance of suspected bias, but citations supporting LLM‐generated responses could often not be produced or could not be verified (‘confabulations’). Congruence with human generated responses varied, with LLM‐generated responses providing more background on the topic and SERs providing more nuanced answers in response to the contextual question. Results regarding incremental validity were mixed and may depend on the tool. Conclusion LLMs are potentially helpful in addressing contextual questions in systematic reviews but human expertise remains essential for using the generated information in a meaningful way.

ABSTRACT The COVID‐19 pandemic underscored the critical need to strengthen healthcare systems and optimize resource allocation planning during times of disruption and crisis. This retrospective, single‐center, cross‐sectional study included 33,158 admissions for patients ≤ 17 years old admitted to the Children's Hospital (CH) between January 1, 2017, and December 31, 2021. Data was abstracted using Vizient Clinical Data Base and the internal data warehouse. A Poisson regression model was implemented to compare admission diagnosis patterns during the pre‐ and intra‐pandemic phases. CH SARS‐CoV‐2 prevalence rate was 0.1% in 2020 and 0.5% in 2021. There was a decrease in overall admissions to the CH ( p < 0.01) and PICU ( p < 0.01) at the onset of the pandemic. There were significant and variable differences in admission patterns for certain infectious and seizure‐related diagnoses. The CH experienced an increase in certain specific mental health diagnoses. Seasonality was noted for viral bronchiolitis during the pre‐pandemic phase, but was disrupted during the intra‐pandemic phase. The COVID‐19 pandemic had a significant impact on the number and pattern of admissions, despite low prevalence of SARS‐CoV‐2 in our hospital. These changes may be secondary to COVID‐19 community mitigation strategies. Results can inform anticipated patterns during future pandemics.

ABSTRACT Background Monoclonal gammopathy‐associated myopathies (MGAMs) include light chain (AL) amyloid myopathy, sporadic late‐onset nemaline myopathy (SLONM), and vacuolar myopathy with monoclonal gammopathy and stiffness (VAMMGAS). These subtypes usually occur separately, although rare overlap has been described. We report a patient with monoclonal gammopathy and concurrent SLONM and excessive glycogen accumulation, resembling VAMMGAS but with distinct features. Methods Case report with clinical, electrophysiological, pathological, and therapeutic characterization of a patient with IgG‐kappa monoclonal gammopathy and coexisting SLONM and glycogen accumulation within muscle fibers. Results A 69‐year‐old man developed subacute progressive axial and limb weakness, head drop, dysphagia, and weight loss. Examination showed proximal/distal weakness, neck extensor weakness, and lumbar hyperlordosis. EMG revealed myopathic motor unit potentials without electrical myotonia or complex repetitive discharges. Serum studies identified IgG‐kappa monoclonal protein with elevated kappa light chain and ratio. Muscle biopsy demonstrated nemaline rods (1% of fibers) and scattered fibers with non‐rimmed vacuoles (0.3% of fibers) containing PAS‐positive, diastase‐labile material consistent with concurrent SLONM and glycogen storage myopathy‐like pathology. Genetic testing for congenital nemaline and glycogen storage myopathies was negative. Plasma‐cell directed therapy with daratumumab, lenalidomide, and dexamethasone led to rapid functional improvement and M‐protein reduction. Further gains followed autologous stem cell transplantation. Conclusion This case expands the MGAM spectrum, highlighting co‐occurrence of SLONM and an excessive glycogen accumulation responsive to immunotherapy and transplantation. These findings suggest a spectrum of related disease processes. Recognition of this combined pathology is clinically important, as affected patients may benefit from targeted immunotherapy or stem cell transplantation.