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OBJECTIVE The aim of this study was to evaluate freedom from tumor progression and clinical outcomes in older adults with small- to medium-sized vestibular schwannoma (VS) managed by observation versus stereotactic radiosurgery (SRS) to better inform optimal management in this patient population. METHODS In this international multicenter study, patients aged ≥ 60 years with Koos grade I or II VS managed by observation or SRS were retrospectively reviewed. Propensity score matching was conducted using patient characteristics, tumor size, and hearing assessments. Outcome measures of freedom from tumor progression, serviceable hearing preservation (SHP), and neurological function (tinnitus, vestibulopathy, House-Brackmann grade, and trigeminal nerve function) were assessed for both groups. RESULTS The observation and SRS groups each comprised 51 matched patients (median age 68 years for both). Ipsilateral serviceable hearing was observed at presentation for 35 patients in each group. The median follow-up duration was 39 months in the observation group versus 27 months in the SRS group (p = 0.5). Tumor progression was significantly lower with SRS than with observation (2% vs 52.9%, p < 0.001). The rate of 5-year freedom from tumor progression was 100% in the SRS group versus 43% (95% CI 29%–64%) in the observation group. The rate of 10-year freedom from tumor progression was 90% (95% CI 73%–100%) in the SRS group versus 20% (95% CI 8.5%–49%) in the observation group. At the last follow-up, hearing loss occurred in 42.9% of the observation group and 51.4% of those who underwent SRS (p = 0.5). The 3-year SHP rate was 68% (95% CI 53%–88%) versus 65% (95% CI 49%–85%) (p = 0.8), and the 5-year SHP rate was 53% in both groups (95% CI 36%–78% in the observation group and 95% CI 35%–79% in the SRS group, p = 0.8). The composite endpoint of tumor progression and/or worsened neurological outcome, including hearing loss, tinnitus, vestibulopathy, facial nerve dysfunction (House-Brackmann grade), or trigeminal dysfunction, demonstrated a significantly lower rate in the SRS group (17.6%) compared with the observation group (66.7%) (p < 0.001). CONCLUSIONS SRS in older patients for management of Koos grade I or II VS resulted in significantly superior rates of freedom from tumor progression, comparable hearing preservation rates, and significantly higher rates of favorable overall radiographic and neurological outcomes than observation alone. Compared with observation, SRS might be the preferred management option in this patient population.

Abstract Rationale: Current guidelines recommend a short course of antibiotic therapy for ventilator-associated pneumonia (VAP) caused by non-fermenting gram-negative bacilli (NF-GNB). However, this approach has been associated with an increased risk of pneumonia recurrence. This meta-analysis aims to address inconsistencies in the literature and evaluate the efficacy of short-course versus long-course antibiotic therapy for VAP, particularly in cases due to NF- GNB. Methods: We systematically searched PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov for randomized controlled trials (RCTs) comparing short versus long courses of antibiotic therapy in patients with VAP. The primary outcomes were the risk of all-cause mortality and pneumonia recurrence. Data were analyzed using RevMan 5.4, with risk ratio (RR) and mean difference (MD) as effect measures. Results: Our pooled analysis included seven RCTs. There was no significant difference in all- cause mortality between short- and long-course antibiotic regimens (RR 1.02; 95% CI: 0.88-1.18; Figure 1). However, a short course of antibiotics increased the incidence ofpneumonia recurrence, particularly in patients with VAP due to NF-GNB (RR 1.64; 95% CI: 1.18-2.29; Figure 1). There were no significant differences between the two regimens regarding the duration of mechanical ventilation (MD 0.01 days; 95% CI: -0.51 to 0.53 days), ICU (MD 0.10 days; 95% CI: -1.00 to 1.20 days) and hospital stay (MD -0.63 days; 95% CI: -3.18 to 1.91 days), or subsequent infection with or acquisition of resistant organisms (RR 0.89; 95% CI: 0.63-1.24). Conclusions: Our meta-analysis suggests that while a short course of antibiotics increases the risk of pneumonia recurrence in NF-GNB VAP, it does not impact mortality compared to a longer course. The clinical significance of the increased recurrence of pneumonia remains uncertain, as it did not result in worse clinical outcomes. A practical approach incorporating validated clinical criteria and biomarker thresholds to guide the duration of antibiotic therapy may be more effective for patients with NF-GNB VAP. Larger RCTs are needed to drawdefinitive conclusions in this population.

Background: The COVID-19 (coronavirus disease 2019) pandemic has presented a serious challenge to nephrologists, since it can lead to severe kidney injury in the form of acute tubular necrosis, with many patients requiring renal replacement therapy. This is predominantly seen in people who develop severe respiratory manifestations like ARDS (acute respiratory distress syndrome) from the viral infection, a cytokine storm or septic shock with unstable hemodynamics. It also presents with various glomerular injuries, mainly collapsing glomerulopathy in high-risk APOL1 (Apolipoprotein L1) genotype patients, thrombotic microangiopathy-related renal failure due to hyper coagulopathy and occasionally pauci-immune glomerulonephritis due to immune dysregulation. All the glomerular disorders that are caused by COVID-19 infection have been described under the designation COVAN (COVID-19-associated nephropathy). Proteinuria is a predominant presentation in glomerular disorders. Gross hematuria and AKI without any respiratory symptoms from COVID-19 infection have not been described so far in the literature. We are presenting one such rare case here. Methods: We have encountered a rare case of gross hematuria and severe acute renal failure. His serological work up was negative for all autoimmune etiologies that can cause Glomerulonephritis. He was found to have infection-related crescentic glomerulonephritis due to active COVID-19 infections discovered via kidney biopsy. He tested positive for SARS-CoV-2 but didn’t have any clinical respiratory symptoms. He has responded well to treatment with a steroid taper and antiviral medication (Remdesivir). This is a very rare renal manifestation of COVID-19 infection. Results: COVID-19 infection can result in crescentic glomerulonephritis. This can be diagnosed by kidney biopsy which shows extensive c3 deposits, tubuloreticular inclusion bodies along with crescentic lesions. This responds to treatment with steroids and Antiviral agents. Conclusions: Crescentic Glomerulonephritis should be considered as a possible etiology for severe acute kidney injury with hematuria in patients with active covid-19 infection without any respiratory symptoms. Kidney biopsy helps in diagnosing it and responds to treatment with steroids and antivirals.

Abstract Study Objectives Narcolepsy has a complex phenotype owing to differences in symptomatology, disease severity, and comorbidities. This is the first study to use aggregate electronic health record (EHR) data and natural language processing (NLP) algorithms to characterize the demographics and comorbidities of a large cohort of patients with narcolepsy. Methods First-time Mayo Clinic patients (2000–2020) who had ≥1 narcolepsy-specific ICD-9/10 code and ≥1 disease-supportive statement in the clinical notes (identified using an NLP algorithm) were identified. A control cohort was propensity matched for birth year, age at first institutional encounter, sex, race, ethnicity, number of diagnosis codes, and mortality. Common comorbidities were compared and ranked between cohorts. Results In the EHR database (N = 6 389 186 patients), 2057 patients with narcolepsy were identified (median age, 32 years; 59.6% female; 92.6% white; and 89.2% non-Hispanic) and propensity matched with a control cohort. Among the top 20 comorbidities occurring more frequently in the narcolepsy cohort compared with the control cohort (odds ratio [OR], 1.67–3.94; p &lt; .001]) were sleep disorders (restless legs syndrome, obstructive sleep apnea, and insomnia), mood disorders (depression, dysthymia, and anxiety), and pain disorders (chronic pain syndrome, migraine, fibromyalgia, carpal tunnel syndrome, and myalgia). Other comorbidities significantly associated with narcolepsy (OR, 1.33–1.95) were irritable bowel syndrome (p &lt; .001), asthma (p &lt; .001), cervical spondylosis (p &lt; .01), syncope (p &lt; .01), and hypothyroidism (p &lt; .05). Conclusions This propensity-matched cohort study demonstrates increased psychiatric, sleep, and pain disorders in patients living with narcolepsy and challenges beyond narcolepsy-specific symptoms in this population. Understanding common narcolepsy-associated comorbidities may assist in tailoring treatment modalities.

11176 Background: Progression-free survival (PFS) is frequently measured in oncology clinical trials. In analyses outside of the trial setting, various strategies have been utilized to assess real-world PFS (rwPFS), including manual abstraction of clinical records, natural language processing (NLP) of oncology notes and radiology reports, and longitudinal analyses of radiologic images. Here we develop and validate a new semi-automated workflow that combines NLP of clinical notes with structured electronic health record data to facilitate the evaluation of rwPFS in patients with metastatic breast cancer (mBC). Methods: This study analyzes de-identified EHR data using nference nSights. The data is extracted following privacy-preserving protocols and is HIPAA compliant. The overall cohort included 316 patients with HR-positive, HER2-negative mBC who initiated Palbociclib and Letrozole combination therapy between January 1, 2015 and December 31, 2021. We developed and implemented an ensemble of deep-learning NLP frameworks to capture progression events from unstructured clinical notes and radiology reports. A change in the line of therapy, as determined by structured drug order/administration records, was also considered a progression event. We used manually curated “ground-truth” datasets to evaluate the performance of the progression-event capture workflow at the levels of both sentences (N = 1000) and patients (N = 100) by calculating sensitivity, specificity, precision, accuracy, and F1 scores. Progression events and censoring events (death, loss to follow-up, end of study period) were considered to compute rwPFS. Results: At the sentence level, progression events were captured from clinical notes and radiology reports with a sensitivity of 99.8%, specificity of 96.7%, and accuracy of 98.2% (Table). At the patient level, initial progression was correctly captured within a window of +/-30 days with a sensitivity of 92.5%, specificity of 83.0%, and accuracy of 88.0% (Table). In a sample of 100 patients, the median rwPFS was determined to be 25 months (95% CI; 15-35 months) by manual curation and 22 months (95% CI; 15-35 months) by the semi-automated workflow. In the overall cohort, median rwPFS was 20 months (95% CI; 18-25 months). Conclusions: An ensemble of NLP algorithms extracted progression events from clinical notes and radiology reports with high accuracy. A semi-automated workflow enabled rapid and accurate determination of rwPFS in mBC patients receiving a combination chemotherapy regimen. Further evaluation of this workflow to estimate rwPFS in other cancers and therapeutic settings is warranted. [Table: see text]

Abstract Purpose To assess intra‐ (repeatability) and inter‐observer (reproducibility) variability of laser speckle flowgraphy (LSFG) for retinal blood flow (RBF) measurement in 20 eyes of wild type (C57BL/6J) mice and effect of intravitreal Aflibercept on RBF in optic nerve head (ONH) region of 10 eyes of Ins2 (Akita) diabetic mice. Methods ‘Mean blur rate (MBR)’ was measured for all quadrants of tissue area (MT), vessel (MV) and total area (MA) of ONH region. Changes in MT were analysed at each timepoint. Repeatability was evaluated by measuring MBR variability without changing mouse head position, and reproducibility after resetting mouse head position by another operator. Coefficient of repeatability (CR) through Bland–Altman plot method coefficient of variation (COV) and Intraclass correlation coefficient (ICC) was calculated. Intravitreal Aflibercept (1 μg) was administered to Akita eyes and intraocular pressure (IOP) was measured using a tonometer at baseline, day 7, 14, 21 and 28 post‐injection. Hurvich and Tsai's criterion was used. Results Coefficient of repeatability values of repeatability and reproducibility for all quadrants were within limits of agreement. Reliability was excellent (ICC 0.98–0.99) and reproducibility was moderate to excellent (ICC 0.64–0.96). There was a non‐significant IOP increase in all Akita eyes at Day 28 ( p > 0.05), and significant increase in MT in all quadrants at Day 21 and superior, inferior and temporal quadrants at Day 28 ( p < 0.05). Conclusion Laser speckle flowgraphy demonstrates excellent repeatability and moderate to excellent reproducibility in measuring RBF. Intravitreal Aflibercept injection results in a significant increase in MT up to 28 days post‐injection without significant increase in IOP.

AbstractIntroductionDown syndrome (DS) is associated with multiple comorbid conditions and chronic immune dysfunction. Persons with DS who contract COVID‐19 are at high risk for complications and have a poor prognosis. We aimed to study the clinical symptoms, laboratory and biochemical profiles, radiologic findings, treatment, and outcomes of patients with DS and COVID‐19.MethodWe systematically searched PubMed, MEDLINE, Web of Science, Scopus, and the Cochrane Library using the keywords COVID‐19 or coronavirus or SARS‐CoV‐2 and DS or trisomy 21. Seventeen articles were identified: eight case reports and nine case series published from December 2019 through March 2022, with a total of 55 cases.ResultsPatients averaged 24.8 years (26 days to 60 years); 29 of the patients were male. The most common symptoms were fever, dyspnea, and cough. Gastrointestinal and upper respiratory tract symptoms were commonly reported for pediatric patients. The most common comorbidities present in patients with DS were obesity (49.0%), hypothyroidism (21.6%) and obstructive sleep apnea (15.6%). The patients were hospitalized for a mean of 14.8 days. When the patients were compared with the general COVID‐19 population, the mean number of hospitalized days was higher. Most patients had leukopenia, lymphopenia, and elevated inflammatory markers (d‐dimer and C‐reactive protein). Bilateral infiltrations and bilateral ground‐glass opacifications were frequently seen in chest radiographs and chest computed tomographic imaging. Most of the patients were treated with methylprednisolone, macrolides, and hydroxychloroquine. Of the 55 patients, 22 died. The mean age of the patients who died was 42.8 years. Mortality rate was higher in individuals with DS over 40 years of age.ConclusionMore studies are needed to better understand COVID‐19 infections among persons with DS. In addition, the study was limited by a lack of statistical analyses and a specific comparison group.

Key Clinical MessageDaptomycin causes serious side effects like rhabdomyolysis at high doses. At lower doses it can cause isolated hyperkalemia without frank rhabdomyolysis. Checking BMP along with CK helps taking timely measures to prevent adverse consequences.AbstractHyperkalemia is a common yet challenging clinical condition faced daily by physicians worldwide. Accurate etiology and timely management are paramount in correcting this preventable yet life‐threatening electrolyte imbalance. Very seldom has Daptomycin been implicated as a culprit for hyperkalemia. We present one such unique case where a low dose of Daptomycin led to hyperkalemia, and timely identification improved patient outcomes. We present a 69‐year‐old woman with multiple comorbidities admitted to the intensive care unit to manage diabetic ketoacidosis and sepsis. She developed acute kidney injury due to intravenous contrast, volume depletion, and obstructive uropathy. Interestingly although initially normokalemic, as her renal function started improving with sound urine output, she developed recurrent hyperkalemia, which required medical management. The etiology of hyperkalemia was initially unclear, but on closer review, it was discovered that Daptomycin was the potential culprit. Although case studies with high‐dose Daptomycin causing rhabdomyolysis and hyperkalemia have been reported, low‐dose Daptomycin causing hyperkalemia without rhabdomyolysis has never been reported, bringing forth the uniqueness of our article.

INTRODUCTION: Screening for Barrett's esophagus (BE) is suggested in those with risk factors, but remains underutilized. BE/esophageal adenocarcinoma (EAC) risk prediction tools integrating multiple risk factors have been described. However, accuracy remains modest (area under the receiver-operating curve [AUROC] ≤0.7), and clinical implementation has been challenging. We aimed to develop machine learning (ML) BE/EAC risk prediction models from an electronic health record (EHR) database. METHODS: The Clinical Data Analytics Platform, a deidentified EHR database of 6 million Mayo Clinic patients, was used to predict BE and EAC risk. BE and EAC cases and controls were identified using International Classification of Diseases codes and augmented curation (natural language processing) techniques applied to clinical, endoscopy, laboratory, and pathology notes. Cases were propensity score matched to 5 independent randomly selected control groups. An ensemble transformer-based ML model architecture was used to develop predictive models. RESULTS: We identified 8,476 BE cases, 1,539 EAC cases, and 252,276 controls. The BE ML transformer model had an overall sensitivity, specificity, and AUROC of 76%, 76%, and 0.84, respectively. The EAC ML transformer model had an overall sensitivity, specificity, and AUROC of 84%, 70%, and 0.84, respectively. Predictors of BE and EAC included conventional risk factors and additional novel factors, such as coronary artery disease, serum triglycerides, and electrolytes. DISCUSSION: ML models developed on an EHR database can predict incident BE and EAC risk with improved accuracy compared with conventional risk factor-based risk scores. Such a model may enable effective implementation of a minimally invasive screening technology.