Acetaminophen influences musculoskeletal signaling but not adaptations to endurance exercise training.

Acetaminophen (ACE) is a widely used analgesic and antipyretic drug with various applications, from pain relief to fever reduction. Recent studies have reported equivocal effects of habitual ACE intake on exercise performance, muscle growth, and risks to bone health. Thus, this study aimed to assess the impact of a 6-week, low-dose ACE regimen on muscle and bone adaptations in exercising and non-exercising rats. Nine-week-old Wistar rats (n = 40) were randomized to an exercise or control (no exercise) condition with ACE or without (placebo). For the exercise condition, rats ran 5 days per week for 6 weeks at a 5% incline for 2 min at 15 cm/s, 2 min at 20 cm/s, and 26 min at 25 cm/s. A human equivalent dose of ACE was administered (379 mg/kg body weight) in drinking water and adjusted each week based on body weight. Food, water intake, and body weight were measured daily. At the beginning of week 6, animals in the exercise group completed a maximal treadmill test. At the end of week 6, rats were euthanized, and muscle cross-sectional area (CSA), fiber type, and signaling pathways were measured. Additionally, three-point bending and microcomputer tomography were measured in the femur. Follow-up experiments in human primary muscle cells were used to explore supra-physiological effects of ACE. Data were analyzed using a two-way ANOVA for treatment (ACE or placebo) and condition (exercise or non-exercise) for all animal outcomes. Data for cell culture experiments were analyzed via ANOVA. If omnibus significance was found in either ANOVA, a post hoc analysis was completed, and a Tukey's adjustment was used. ACE did not alter body weight, water intake, food intake, or treadmill performance (p > .05). There was a treatment-by-condition effect for Young's Modulus where placebo exercise was significantly lower than placebo control (p < .05). There was no treatment by condition effects for microCT measures, muscle CSA, fiber type, or mRNA expression. Phosphorylated-AMPK was significantly increased with exercise (p < .05) and this was attenuated with ACE treatment. Furthermore, phospho-4EBP1 was depressed in the exercise group compared to the control (p < .05) and increased in the ACE control and ACE exercise group compared to placebo exercise (p < .05). A low dose of ACE did not influence chronic musculoskeletal adaptations in exercising rodents but acutely attenuated AMPK phosphorylation and 4EBP1 dephosphorylation post-exercise.

Knowledge and attitude on childhood cancer survivorship among healthcare trainees: a multicentre study from India.

BACKGROUND: The proportion of childhood cancer survivors (CCS) in low/middle-income countries (LMICs) is rising. CCS often develop several physical and psycho-social long-term adverse effects, with unique healthcare needs. Primary healthcare providers (primary care physicians (PCPs)), especially in LMICs, are often not equipped to handle survivorship care. This study aimed to assess knowledge, and attitude among trainee healthcare providers concerning major issues of paediatric survivorship care. METHODS: A multi-centre, cross-sectional, questionnaire-based study was conducted among nursing and medical undergraduate students, and postgraduate medical residents across three tertiary-care teaching hospitals in India-All India Institute of Medical Sciences, New Delhi; Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry; and Maulana Azad Medical College, New Delhi. A questionnaire with total of 24 questions (14 knowledge-based and 10 attitude-based) was finalised after validation by expert review and piloting. The major domains covered in the questionnaire included knowledge and attitude regarding long-term adverse effects and psychosocial, employment-related issues faced by the survivors. It was administered to the study participants electronically. The knowledge-based questions had true/false responses (scored as 0 or 1 if incorrect or correct, respectively). Attitude-based questions were scored as 5-point Likert scale. RESULTS: Total 898 responses were collected (median age: 21 years, 64% (576/898) female). Among the respondents, 44% were undergraduate medical students, 42% were nursing students and 14% were postgraduate medical residents. The mean (SD) of knowledge score was 8.72 (2.04) (out of 14). On multivariable analysis, only discipline of training predicted knowledge scores regarding survivorship care. Postgraduate medical residents (9.08) as well as undergraduate medical students (8.85), had significantly higher mean knowledge scores than nursing students (8.47) (p=0.004).Two questions were answered incorrectly by the majority; children and siblings of CCS need additional genetic screening (79% incorrectly answered true), and CCS face intimacy issues in relation to normal sexual functioning (59% incorrectly answered false).Nearly half (48%) of respondents believed that their knowledge of cancer survivorship issues was inadequate. Majority of respondents (84%) suggested that oncologists should handle long-term survivorship care rather than PCPs. CONCLUSION: Trainee healthcare providers in India reported inadequate knowledge regarding survivorship care. Improving awareness by incorporating survivorship in teaching curriculum is imperative to equip future PCPs to provide survivorship care across the country.

The performance of an artificial intelligence-based computer vision mobile application for the image diagnosis of genital dermatoses: a prospective cross-sectional study.

BACKGROUND: There is a huge demand-supply gap between the incidence of genital dermatoses (including sexually transmitted infections and non-venereal genital dermatoses) and physicians trained to manage them. OBJECTIVES: To find out the performance of an artificial intelligence (AI)-based mobile application in the image diagnosis of genital dermatoses, and to compare it with primary care physicians (PCPs) and dermatologists. METHODS: Photos of the genital diseases of consecutive patients presenting to the STD and genital diseases clinic were included. The gold standard diagnosis was established by the consensus of two certified dermatologists after examination and one positive investigation. Image diagnoses by the DermaAId application, two PCPs, and two dermatologists were recorded and compared to the gold standard diagnosis and to each other. RESULTS: A total of 257 genital disease images, including 95 (37.0%) anogenital warts, 60 (22.2%) lichen sclerosus, 20 (7.8%) anogenital herpes, 15 (5.8%) tinea cruris, 14 (5.4%) molluscum contagiosum, 9 (3.5%) candidiasis, 8 (3.1%) scabies, 6 (2.3%) squamous cell carcinomas, were included. The top-1 correct diagnosis rate of the application was 68.9%, compared to the 50.4% of the PCPs and 73.2% of the dermatologists. The application significantly outperformed PCPs with regard to the correlation with the gold standard diagnosis (P < 0.0001), and matched that of the dermatologists. CONCLUSIONS: AI-based image diagnosis platforms can potentially be a low-cost rapid decision support tool for PCPs, integrated with syndromic management programs and direct-to-consumer services, and address healthcare inequities in managing genital dermatoses.

Multiple palisaded encapsulated neuromas presenting as cobblestoned plaques over palms and oral cavity.

Palisaded encapsulated neuroma (PEN) is a benign circumscribed nerve sheath tumor usually seen as a solitary painless papule on the face in middle-aged adults. We report a 22-year-old male with multiple adolescent-onset PENs distributed extensively, including the oral cavity and palms, contrary to the typical presentations. The lesions formed cobblestoned plaques and were confirmed through a skin biopsy, showing characteristic nodules of wavy spindle cells forming interlacing fascicles with interspersed clefts, and positive staining for specific markers, including markers for axons and perineurium. Notably, this case deviates from the usual presentation, shedding light on atypical manifestations of PEN in a young individual without any features suggestive of a neurocutaneous syndrome or multiple endocrine neoplasia syndrome.

The Role and Impact of Artificial Intelligence in Addressing Sexually Transmitted Infections, Nonvenereal Genital Diseases, Sexual Health, and Wellness.

The potential of artificial intelligence (AI) in diagnosing and managing sexually transmitted infections (STIs), nonvenereal genital diseases, and overall sexual health is immense. AI shows promise in STI screening and diagnosis through image recognition and patient data analysis, potentially increasing diagnostic accuracy while ensuring inclusivity. AI can fuel the transformation of e-health and direct-to-consumer services, enhancing targeted screening and personalized interventions while improving the user-friendliness of services. There is a significant role for AI in sexual education, particularly its use in interactive, empathetic chatbots. AI's integration into health care as a decision support tool for primary health-care providers can boost real-time diagnostic accuracy. Furthermore, AI's use in big data can enhance real-time epidemiology, predictive analysis, and directed interventions at population levels. However, challenges such as real-world diagnostic accuracy, liability, privacy concerns, and ethical dilemmas persist. Future directions include an emphasis on inclusivity, language accommodation, and swift research-to-practice transitions. Collaboration among policymakers, researchers, and health-care providers is needed to leverage AI's transformative potential in sexual health.

ASSESSMENT AND CHARACTERIZATION OF COVID-19 RELATED COGNITIVE DECLINE: RESULTS FROM A NATURAL EXPERIMENT.

Background: Cognitive impairment is the most common and disabling manifestation of post-acute sequelae of SARS-CoV-2. There is an urgent need for the application of more stringent methods for evaluating cognitive outcomes in research studies. Objective: To determine whether cognitive decline emerges with the onset of COVID-19 and whether it is more pronounced in patients with Post-Acute Sequelae of SARS-CoV-2 or severe COVID-19. Methods: This longitudinal cohort study compared the cognitive performance of 276 patients with COVID-19 to that of 217 controls across four neuroinflammation or vascular disease-sensitive domains of cognition using data collected both before and after the pandemic starting in 2015. Results: The mean age of the COVID-19 group was 56.04±6.6 years, while that of the control group was 58.1±7.3 years. Longitudinal models indicated a significant decline in cognitive throughput ((ß=-0.168, P=.001) following COVID-19, after adjustment for pre-COVID-19 functioning, demographics, and medical factors. The effect sizes were large; the observed changes in throughput were equivalent to 10.6 years of normal aging and a 59.8% increase in the burden of mild cognitive impairment. Cognitive decline worsened with coronavirus disease 2019 severity and was concentrated in participants reporting post-acute sequelae of SARS-CoV-2. Conclusion: COVID-19 was most likely associated with the observed cognitive decline, which was worse among patients with PASC or severe COVID-19. Monitoring patients with post-acute sequelae of SARS-CoV-2 for declines in the domains of processing speed and visual working memory and determining the long-term prognosis of this decline are therefore warranted.