A Severe and Prolonged Case of Ocular Monkeypox Without Systemic Manifestations.

PURPOSE: The objective of this study was to present a rare case of prolonged and severe ocular monkeypox virus infection in the absence of systemic manifestations. METHODS: This was a single case report. RESULTS: A 60-year-old man, having been symptomatic for 9 days, presented with several umbilicated, ulcerated papules on the left cheek, left side of the nose, and left upper eyelid, along with marked follicular conjunctivitis and multiple conjunctival ulcerations. Two weeks after presentation, he developed an irregular, 360° circumferential opacity in the peripheral cornea that progressed to a large epithelial defect with corneal thinning. Although the initial eyelid lesions and conjunctivitis quickly resolved, the patient experienced nonresolving corneal inflammation manifest with peripheral corneal thinning, epithelial defects, and stromal keratitis. Four months after presentation, with the presumptive diagnosis of peripheral ulcerative keratitis, the patient was treated with intravenous steroids and immunosuppressive treatment, after which the ocular surface inflammation improved. However, the inflammation recurred 12 weeks later, and the patient developed severe perilimbal necrotizing conjunctivitis, followed by recurrence of ulcerated nodular eyelid lesions. Eight months after presentation, nucleic acid amplification tests from eyelid lesion swabs returned positive for nonvariola Orthopoxviruses , which led to the diagnosis of mpox. Within 2 weeks of beginning antiviral treatment with systemic tecovirimat and cidofovir and topical trifluridine, the eyelid lesions, conjunctivitis, and corneal inflammation resolved. CONCLUSIONS: We present an unusual and challenging case of ocular mpox with severe ocular surface inflammation including peripheral corneal thinning and epithelial defects, without systemic disease. Initiation of antiviral treatment resulted in a quick resolution of the ocular disease.

Association of Blood Pressure With Brain White Matter Microstructural Integrity Assessed With MRI Diffusion Tensor Imaging in Healthy Young Adults.

BACKGROUND: High blood pressure (BP) in middle-aged and older adults is associated with a brain white matter (WM) microstructural abnormality. However, little evidence is available in healthy young adults. We investigated the associations between high BP and WM microstructural integrity in young adults. METHODS: This study included 1015 healthy young adults (542 women, 22-37 years) from the Human Connectome Project. Brachial systolic and diastolic BP were measured using a semiautomatic or manual sphygmomanometer. Diffusion-weighted magnetic resonance imaging was acquired to obtain diffusion tensor imaging metrics of free water (FW) content, FW-corrected WM fractional anisotropy, axial diffusivity, radial diffusivity, and mean diffusivity. Using whole-brain voxel-wise linear regression models and ANCOVA, we examined associations of BP and hypertension stage with diffusion tensor imaging metrics after adjusting for age, sex, education, body mass index, smoking status, alcohol consumption history, and differences in the b value used for diffusion magnetic resonance imaging. RESULTS: Systolic and diastolic BP of the sample (mean±SD) were 122.8±13.0 and 76.0±9.9 mm Hg, respectively. Associations of BP with diffusion tensor imaging metrics revealed regional heterogeneity for FW-corrected fractional anisotropy. High BP and high hypertension stage were associated with higher FW and lower FW-corrected axial diffusivity, FW-corrected radial diffusivity, and FW-corrected mean diffusivity. Moreover, associations of high diastolic BP and hypertension stage with high FW were found only in men not in women. CONCLUSIONS: High BP in young adults is associated with altered brain WM microstructural integrity, suggesting that high BP may have damaging effects on brain WM microstructural integrity in early adulthood, particularly in men.

Training Medical Student Counselors for the Rochester Model, a Hospital Tobacco Treatment Program.

Purpose: Providing effective tobacco dependence treatments to hospitalized patients remains a challenge. Prior to 2021, the Rochester Model program used staff nurses for both bedside and post-discharge counseling necessary to maintain abstinence. When nurse shortages and elevated job stress occurred during the COVID Pandemic, we proposed that medical students learn to counsel patients at the bedside and after discharge. Patients and Methods: Due to COVID restrictions, first- and second-year medical students trained using remote Zoom sessions. The total training time was 2.5 hr without role-play or additional evaluations. A survey measured the students' satisfaction, confidence, and counseling barriers. A smoking patient on a participating hospital unit can enroll in the program. Students delivered bedside counseling, then provided follow-up treatment and outcome calls along with New York State Quitline counselors. Results: The survey demonstrated that 89% of the students were satisfied with the training. The bedside counseling confidence was greater than the phone counseling confidence. All students felt the program experience has value to them as future physicians. 124 smoking patients enrolled, and outcomes followed out to 6 months. The 7-day point prevalence quit rates using the as-treated (patients contacted) analysis were 57% at 4 weeks, 48% at 3 months, and 43% at 6 months. The 7-day point prevalence quit rates using the intent-to-treat (all patients) analysis were 31% at 4 weeks, 16% at 3 months and 14% at 6 months. Conclusion: Medical students given minimal training are effective tobacco cessation counselors at no cost to the hospital system. The Rochester Model program using student counseling benefits patients, the students, and the health-care system.

Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?

BACKGROUND: Those receiving the diagnosis of multiple sclerosis (MS) over the next ten years will predominantly be part of Generation Z (Gen Z). Recent observations within our clinic suggest that younger people with MS utilize online generative artificial intelligence (AI) platforms for personalized medical advice prior to their first visit with a specialist in neuroimmunology. The use of such platforms is anticipated to increase given the technology driven nature, desire for instant communication, and cost-conscious nature of Gen Z. Our objective was to determine if ChatGPT (Generative Pre-trained Transformer) could diagnose MS in individuals earlier than their clinical timeline, and to assess if the accuracy differed based on age, sex, and race/ethnicity. METHODS: People with MS between 18 and 59 years of age were studied. The clinical timeline for people diagnosed with MS was retrospectively identified and simulated using ChatGPT-3.5 (GPT-3.5). Chats were conducted using both actual and derivatives of their age, sex, and race/ethnicity to test diagnostic accuracy. A Kaplan-Meier survival curve was estimated for time to diagnosis, clustered by subject. The p-value testing for differences in time to diagnosis was accomplished using a general Wilcoxon test. Logistic regression (subject-specific intercept) was used to capture intra-subject correlation to test the accuracy prior to and after the inclusion of MRI data. RESULTS: The study cohort included 100 unique people with MS. Of those, 50 were members of Gen Z (38 female; 22 White; mean age at first symptom was 20.6 years (y) (standard deviation (SD)=2.2y)), and 50 were non-Gen Z (34 female; 27 White; mean age at first symptom was 37.0y (SD=10.4y)). In addition, a total of 529 people that represented digital simulations of the original cohort of 100 people (333 female; 166 White; 136 Black/African American; 107 Asian; 120 Hispanic, mean age at first symptom was 31.6y (SD=12.4y)) were generated allowing for 629 scripted conversations to be analyzed. The estimated median time to diagnosis in clinic was significantly longer at 0.35y (95% CI=[0.28, 0.48]) versus that by ChatGPT at 0.08y (95% CI=[0.04, 0.24]) (p<0.0001). There was no difference in the diagnostic accuracy between ages and by race/ethnicity prior to the inclusion of MRI data. However, prior to including the MRI data, males had a 47% less likely chance of a correct diagnosis relative to females (p=0.05). Post-MRI data inclusion within GPT-3.5, the odds of an accurate diagnosis was 4.0-fold greater for Gen Z participants, relative to non-Gen Z participants (p=0.01) with the diagnostic accuracy being 68% less in males relative to females (p=0.009), and 75% less for White subjects, relative to non-White subjects (p=0.0004). CONCLUSION: Although generative AI platforms enable rapid information access and are not principally designed for use in healthcare, an increase in use by Gen Z is anticipated. However, the obtained responses may not be generalizable to all users and bias may exist in select groups.

Dynamic Expansion and Contraction of Multiple Sclerosis T2-weighted Hyperintense Lesions are Present Below the Threshold of Visual Perception.

BACKGROUND AND PURPOSE: The study of T2-weighted hyperintense lesions resulting from autoimmune inflammatory injury and associated volumes within the CNS remains fundamental to the diagnosis and disease surveillance of multiple sclerosis (MS). We investigated the dynamic changes of individual T2-weighted hyperintense MS lesions on MRI and hypothesized that variations may be present below the threshold of visual perception when evaluating longitudinal data. MATERIALS AND METHODS: A retrospective study was performed of people with MS, incorporating data from three consecutive MRI time points acquired within a single academic center. All included MRI studies lacked formal imaging interpretations of newly enlarging or contracting T2-weighted hyperintensities. Well defined, non-coalescing, individual T2-weighted hyperintense lesions were targeted. A total of 8-12 lesions were randomly selected in a blinded fashion at MRI time point 1 and 3-dimensional lesion volumes followed over MRI time points 2 and 3. The impact of treatment on lesion expansion and relationship to brain MRI advancement, patient-reported progression of disease, and physician-identified progression was also studied. RESULTS: The study cohort was comprised of 115 people (81 (70.4%) female; mean disease duration of 6.62 years(y) (standard deviation: 6.68y)) who were primarily White (79.1%). A total of 1,426 focal T2-weighted hyperintense MS lesions were identified on MRI time point 1 and longitudinally followed over MRI time points 2 and 3. In the evaluation of raw changes in individual T2-weighted hyperintense lesion volumes from MRI time point 1 to MRI time point 2, a similar number of individuals were observed with predominantly expanding (49/115; 42.6%) or contracting (51/115; 44.3%) lesions. However, the majority of lesions expanded in volume (48/115; 41.7%) versus those that contracted (45/115; 39.1%) when evaluating MRI time point 3 to time point 1. Those individuals not on active treatment had a 67.15% reduction in the odds of more individual lesions predominantly contracting in volume relative to those on low-efficacy disease modifying therapy treatment (95% CI=[-83.89, -33.01], p=0.0008) and 74.02% reduction for those on high-efficacy treatment (95% CI=[-87.37%,-46.56%], p<0.0001). CONCLUSIONS: Dynamic changes in T2-weighted hyperintense lesions are abundant, occurring below the threshold of visual perception and are present more frequently in untreated individuals. ABBREVIATIONS: MS = multiple sclerosis; DMT = disease modifying therapy; 2D = 2-dimensional; 3D = 3-dimensional; LMS = Lambda, Mu, and Sigma.

Impact of Prior Biologic or Janus Kinase Inhibitor Therapy on Efficacy and Safety of Etrasimod in the ELEVATE UC 52 and ELEVATE UC 12 Trials.

BACKGROUND AND AIMS: Etrasimod is an oral, once daily, selective sphingosine 1-phosphate [S1P]1,4,5 receptor modulator for the treatment of moderately to severely active ulcerative colitis [UC]. This subgroup analysis evaluated the efficacy and safety of etrasimod 2 mg once daily vs placebo by prior biologic/Janus kinase inhibitor [bio/JAKi] exposure in ELEVATE UC 52 and ELEVATE UC 12. METHODS: Pre-defined efficacy endpoints were assessed at Weeks 12 and 52 in ELEVATE UC 52 and Week 12 in ELEVATE UC 12 in bio/JAKi-naïve and -experienced patients, and at Week 12 [pooled] based on prior advanced therapy exposure mechanism. RESULTS: In the ELEVATE UC 52 and ELEVATE UC 12 analysis populations, 80/274 [29.2%] and 74/222 [33.3%] patients receiving etrasimod and 42/135 [31.1%] and 38/112 [33.9%] patients receiving placebo, respectively, were bio/JAKi-experienced. In both bio/JAKi-naïve and -experienced patients, a significantly greater proportion receiving etrasimod vs placebo achieved clinical remission (p<0.05) in ELEVATE UC 52 at Weeks 12 [naïve: 30.9% vs 9.7%; experienced: 17.5% vs 2.4%] and 52 [naïve: 36.6% vs 7.5%; experienced: 21.3% vs 4.8%]; in ELEVATE UC 12, this was observed only for bio/JAKi-naïve patients [naïve: 27.7% vs 16.2%, p=0.033; experienced: 18.9% vs 13.2%, p=0.349]. Similar patterns were observed for most efficacy endpoints. Among patients with prior anti-integrin exposure [N=90], a significantly greater proportion achieved clinical response [54.1% vs 27.6%, p=0.030], but not clinical remission [9.8% vs 3.4%, p=0.248], with etrasimod vs placebo. CONCLUSIONS: Bio/JAKi-naïve and -experienced patients had clinically meaningful induction and maintenance treatment benefits with etrasimod vs placebo.