Manic Episode Following Dengue Fever: A Case Report.

Dengue fever, a mosquito-borne viral disease, can present with a variety of symptoms, ranging from mild flu-like illness to more severe conditions such as dengue hemorrhagic fever and dengue shock syndrome. Although neurological symptoms such as headaches, dizziness, and altered sensorium are more frequently observed, psychiatric symptoms such as euphoria, delusions, hallucinations, and aggression, though rare, can occur. We present the case of a previously healthy 22-year-old male from South Asia who developed manic and psychotic symptoms, including insomnia, irritability, grandiosity, and auditory hallucinations, following his recovery from dengue fever. His psychiatric symptoms emerged shortly after discharge and necessitated psychiatric intervention with olanzapine, a second-generation antipsychotic, chosen for its suitability in managing manic symptoms. This case underscores the importance of considering psychiatric evaluations in the management of dengue fever, especially in endemic areas. The pathophysiology of dengue's neuropsychiatric effects remains complex and multifactorial, necessitating further research. This case report aims to highlight the potential for significant psychiatric manifestations post-dengue fever, advocate for increased clinical awareness and research to investigate any potential correlation between dengue fever and psychiatric symptoms, and improve patient outcomes.

Emerging Biomarkers for the Early Detection of Autoimmune Encephalitis: A Narrative Review.

Autoimmune encephalitis (AE) is a rare yet critical neurological disorder characterized by inflammation of the brain, typically triggered by an abnormal immune response. The early detection and diagnosis of AE are crucial for effective treatment and improved patient outcomes. However, the diagnostic process is often complicated by the diverse clinical presentations of AE, which can mimic other neurological and psychiatric conditions. Currently, diagnosis relies on a combination of clinical evaluation, neuroimaging, cerebrospinal fluid analysis, and the detection of specific autoantibodies. Despite advances in these areas, challenges remain, particularly in cases where patients are seronegative or present with nonspecific symptoms. This narrative review provides a comprehensive overview of emerging biomarkers for the early detection of AE, highlighting their potential to enhance diagnostic accuracy and speed. We explore a variety of biomarkers, including novel autoantibodies, inflammatory markers, cytokines, and neuronal damage indicators, and discuss their clinical implications. This review emphasizes the need for biomarkers that are not only sensitive and specific but also accessible and rapid to facilitate earlier diagnosis and treatment. By synthesizing current research, this review aims to contribute to the ongoing efforts to refine the diagnostic approach to AE, ultimately improving outcomes for patients affected by this challenging condition.

Neuropsychiatric Manifestations of a Frontal Lobe Meningioma: A Case Report.

The exclusion of organic causes for psychiatric symptoms is a routine practice in mental healthcare. Brain tumors can elicit a range of mood, behavioral, or cognitive symptoms that mimic mental health disorders, significantly altering a patient's personality and behavior if left undiagnosed or untreated. This case report presents a 56-year-old Middle Eastern male with no prior history of mental illness who exhibited a three-week history of depressive symptoms, social withdrawal, and poor self-care. Despite treatment, his condition deteriorated, manifesting psychomotor retardation, urinary incontinence, paranoia, mood lability, and sexually disinhibited behavior. Neuroimaging revealed a large extra-axial mass in the anterior cranial fossa, indicative of a meningioma, necessitating referral to neurosurgery. CT and MRI scans confirmed a hyperdense mass lesion (7.1 x 7.7 x 7.5 cm), causing structural erosion and a midline shift. This case underscores the importance of considering organic causes in atypical psychiatric presentations. Meningiomas, particularly those in the frontal lobes, can present primarily with psychiatric symptoms, complicating early diagnosis. Neuroimaging is critical for accurate diagnosis and effective management in such cases. Clinicians should be vigilant for organic causes in patients with atypical psychiatric symptoms, especially in those over 50. Early neuroimaging can lead to timely diagnosis and treatment, significantly improving patient outcomes.

Effectiveness of Vitamin E in Treatment of Antipsychotic-Induced Tardive Dyskinesia and Extrapyramidal Symptoms: A Case Report.

Antipsychotic medications, while crucial in managing severe psychiatric disorders such as schizophrenia and bipolar disorder, are frequently associated with extrapyramidal symptoms (EPS) and tardive dyskinesia (TD). TD, characterized by repetitive, involuntary movements, especially of the face and limbs, poses a substantial clinical challenge due to its often irreversible nature. Conventional management strategies, including dose reduction and switching to atypical antipsychotics, frequently offer limited success, prompting exploration of alternative therapies. This case report highlights the effectiveness of vitamin E, a potent antioxidant, in treating a 28-year-old male with severe antipsychotic-induced EPS and TD, unresponsive to traditional therapies. The patient, who had been receiving paliperidone injections as part of his psychotic disorder treatment regimen, developed marked EPS, including muscle rigidity, a parkinsonian gait, significant motor disturbances as well as tardive dyskinesia. Despite discontinuation of paliperidone and initiation of procyclidine, propranolol, clonazepam, and omega-3 supplements, his symptoms persisted. Introduction of oral vitamin E at 400 IU daily led to a dramatic improvement, with an 80% reduction in EPS and TD symptoms within weeks. The patient's Abnormal Involuntary Movement Scale (AIMS) score decreased from 24 to 4, and his overall quality of life improved significantly. Gradual increase of vitamin E dosage to 1200 IU daily, coupled with tapering of other medications, eventually led to complete resolution of symptoms, as evidenced by an AIMS score of 0. The patient maintained symptom-free status during follow-up, with no recurrence of psychotic symptoms. This case underscores the potential role of vitamin E as a viable adjunctive treatment for TD, particularly in patients who do not respond adequately to conventional therapies. While the literature presents mixed evidence regarding vitamin E's effectiveness, this case adds to the growing body of research suggesting its benefits, especially when introduced early in the disease course. Further large-scale studies are warranted to establish the most effective treatment protocols and identify patient populations most likely to benefit from vitamin E therapy.

Navigating a Complex Case of Hypoplastic Right Lung With Bronchiectasis: A Ten-Year Journey.

Unilateral pulmonary hypoplasia (UPH) is a rare congenital disorder that presents rarely in adulthood. Most patients succumb to complications at a young age, and those who survive are rare and susceptible to frequent lifelong pulmonary infections. It has a high infant mortality rate. We present the case of a 66-year-old male with rheumatoid arthritis and severe persistent asthma who first presented to our emergency department in 2013 with worsening shortness of breath. Chest imaging with a computed tomography (CT) scan revealed right hemithorax volume loss with hypoplasia, honeycomb lung formation, and right mediastinal shift. He was treated with prednisone, inhalers, and antibiotics for asthmatic bronchitis. He continued to suffer frequent hospital admissions (56 to our hospital alone) over the next decade for pneumonia and asthma exacerbations. The hypoplastic right lung was deemed to be contributing to recurrent infections/inflammation, and he is currently being re-evaluated for a right pneumonectomy, as surgical resection is an option for localized bronchiectasis associated with recurrent respiratory infections.

Identification and characterization of transition metal-binding proteins and metabolites in the phloem sap of Brassica napus.

Transition metal (TM) distribution through the phloem is an essential part of plant metabolism and is required for systemic signaling and balancing source-to-sink relationships. Due to their reactivity, TMs are expected to occur in complexes within the phloem sap; however, metal speciation in the phloem sap remains largely unexplored. Here, we isolated phloem sap from Brassica napus and analyzed it via size exclusion chromatography coupled online to sector-field ICP-MS. Our data identified known TM-binding proteins and molecules including metallothioneins (MT), glutathione, and nicotianamine. While the main peak of all metals was low MW (∼1.5 kD), additional peaks ∼10 to 15 kD containing Cu, Fe, S, and Zn were also found. Further physicochemical analyses of MTs with and without affinity tags corroborated that MTs can form complexes of diverse molecular weights. We also identified and characterized potential artifacts in the TM-biding ability of B. napus MTs between tagged and non-tagged MTs. That is, the native BnMT2 binds Zn, Cu, and Fe, while MT3a and MT3b only bind Cu and Zn. In contrast, his-tagged MTs bind less Cu and were found to bind Co and Mn and aggregated to oligomeric forms to a greater extent compared to the phloem sap. Our data indicates that TM chemistry in the phloem sap is more complex than previously anticipated and that more systematic analyses are needed to establish the precise speciation of TM and TM-ligand complexes within the phloem sap.

Artificial Intelligence (AI)-Enhanced Detection of Diabetic Retinopathy From Fundus Images: The Current Landscape and Future Directions.

Diabetic retinopathy (DR) remains a leading cause of vision loss worldwide, with early detection critical for preventing irreversible damage. This review explores the current landscape and future directions of artificial intelligence (AI)-enhanced detection of DR from fundus images. Recent advances in deep learning and computer vision have enabled AI systems to analyze retinal images with expert-level accuracy, potentially transforming DR screening. Key developments include convolutional neural networks achieving high sensitivity and specificity in detecting referable DR, multi-task learning approaches that can simultaneously detect and grade DR severity, and lightweight models enabling deployment on mobile devices. While these AI systems show promise in improving the efficiency and accessibility of DR screening, several challenges remain. These include ensuring generalizability across diverse populations, standardizing image acquisition and quality, addressing the "black box" nature of complex models, and integrating AI seamlessly into clinical workflows. Future directions in the field encompass explainable AI to enhance transparency, federated learning to leverage decentralized datasets, and the integration of AI with electronic health records and other diagnostic modalities. There is also growing potential for AI to contribute to personalized treatment planning and predictive analytics for disease progression. As the technology continues to evolve, maintaining a focus on rigorous clinical validation, ethical considerations, and real-world implementation will be crucial for realizing the full potential of AI-enhanced DR detection in improving global eye health outcomes.

Minimally Invasive Surgery for Hirschsprung Disease: Current Practices and Future Directions.

Hirschsprung disease (HD) is a congenital disorder characterized by the absence of ganglion cells in the distal colon and rectum, leading to functional obstruction and severe constipation. Over the past decades, the surgical management of HD has significantly evolved, with minimally invasive surgery (MIS) techniques revolutionizing treatment approaches. This review explores recent innovations in MIS for HD, focusing on laparoscopic, transanal endorectal pull-through (TERPT), and robotic-assisted techniques. These approaches offer numerous advantages over traditional open procedures, including reduced surgical trauma, improved cosmesis, faster recovery times, and potentially lower complication rates. Laparoscopic surgery has become widely adopted, providing excellent visualization and precise dissection. TERPT has gained popularity for short-segment disease, offering a completely transanal approach with minimal scarring. Robotic-assisted surgery represents the cutting edge, enhancing surgical precision and dexterity. The review also examines emerging technologies and future directions, such as advanced imaging techniques, artificial intelligence applications, and potential developments in tissue engineering. While MIS techniques have shown promising outcomes, challenges remain in standardizing approaches, addressing long-segment disease, and optimizing long-term functional results. The future of HD surgery lies in personalized approaches that integrate genetic and molecular profiling with advanced surgical technologies. As the field continues to evolve, comprehensive long-term studies and efforts to improve access to specialized care will be crucial to further enhancing outcomes for patients with HD.

Feasibility and Safety of Early Oral Feeding After Radical Gastrectomy in Patients With Gastric Carcinoma: A Systematic Review.

This systematic review examines the feasibility and safety of early oral feeding (EOF) after radical gastrectomy in patients with gastric cancer. A comprehensive literature search identified eight eligible studies, including both clinical trials and cohort studies, conducted between 2011 and 2020. The review analyzed outcomes such as postoperative complications, length of hospital stay, time to first flatus/bowel movement, and changes in nutritional markers. The findings suggest that EOF is generally feasible and well-tolerated, with high adherence rates reported across studies. Most patients successfully initiated oral intake within 72 hours post-surgery without significant protocol deviations. Regarding safety, the studies reported comparable or lower rates of postoperative complications in EOF groups compared to traditional feeding protocols, though some noted non-significant increases in complications with EOF. Several studies observed potential benefits of EOF, including shorter hospital stays, earlier return of gastrointestinal function, and improved nutritional status. However, the results were mixed, with some studies finding no significant differences in these outcomes. While the review suggests EOF is a viable option for postoperative management after radical gastrectomy, it emphasizes the importance of patient-specific factors and close monitoring during implementation. The heterogeneity in study designs, EOF protocols, and outcome measures limits direct comparisons. Future large-scale randomized controlled trials are warranted to establish standardized EOF protocols and provide more robust evidence for this patient population.

Association of vitamin A with gestational diabetes and thyroid disorders in pregnancy and their influence on maternal, fetal, and neonatal outcomes.

Gestational diabetes mellitus (GDM) and thyroid disorders during pregnancy pose significant health concerns, impacting a substantial number of mothers globally. Globally, about 14% of pregnant women develop GDM, while thyroid disorders impact approximately 2%-3%. Both conditions contribute to adverse outcomes, including gestational hypertension, excessive fetal growth, and heightened perinatal morbidity. The central focus of this literature review is to examine the relationship between vitamin A, a crucial fat-soluble micronutrient in fetal development, and the occurrence of GDM and thyroid disorders during pregnancy. The primary research question investigates the association between vitamin A, GDM, and thyroid disorders, analyzing their combined impact on maternal, fetal, and neonatal outcomes. The review underscores the potential of vitamin A to modulate the risk and outcomes of GDM and thyroid disorders during gestation, emphasizing its role in GDM development and resolution and its influence on thyroid function in pregnancy.

Transformative Outcomes With Paliperidone Long-Acting Injection in Severe Treatment-Resistant Schizophrenia: A Case Report and Literature Review.

Treatment-resistant schizophrenia (TRS) presents considerable challenges in contemporary psychiatric practice due to inadequate response to conventional antipsychotic treatments. Paliperidone, the primary active metabolite of risperidone, particularly in its long-acting injectable (LAI) form, has emerged as a promising option for TRS due to its consistent medication delivery, reducing symptom exacerbation and relapse associated with oral dosing fluctuations. This case report presents the clinical journey of a 42-year-old female diagnosed with schizophrenia at age 15. Despite numerous hospital admissions and trials of various oral and injectable antipsychotics, including clozapine and electroconvulsive therapy (ECT), her symptoms persisted. During her last admission, her condition showed minimal improvement despite extensive pharmacological interventions. Introducing paliperidone LAI while tapering off other antipsychotics led to significant improvements within four weeks. The patient exhibited reduced hallucinatory behaviour, delusions, and disorganized behaviour. Follow-up assessments confirmed sustained progress, with the patient showing increased engagement in daily activities and reduced irritability and suspiciousness. This case underscores the potential efficacy of paliperidone LAI in managing TRS. The patient's notable improvement highlights the importance of personalized treatment plans and continuous monitoring in complex psychiatric conditions. Its favourable safety and tolerability profile further supports its use as a long-term treatment option for TRS, potentially leading to enhanced patient compliance and overall quality of life. The significant symptomatic relief and functional improvement observed advocate for the consideration of paliperidone LAI as a promising therapeutic option for TRS, with the potential to be considered in the future among the first-line treatments for TRS.

Integrating Artificial Intelligence (AI) Chatbots for Depression Management: A New Frontier in Primary Care.

Depression is a prevalent mental health disorder that significantly impacts primary care settings. This editorial explores the potential of artificial intelligence (AI)-powered chatbots in managing depression within primary care environments. AI chatbots offer innovative solutions to challenges faced by healthcare providers, including limited appointment times, delayed access to specialists, and stigma associated with mental health issues. These digital tools provide continuous support, personalized interactions, and early symptom detection, potentially improving accessibility and outcomes in depression management. The integration of AI chatbots in primary care presents opportunities for round-the-clock patient support, personalized interventions, and the reduction of mental health stigma. However, challenges persist, including concerns about assessment accuracy, data privacy, and integration with existing healthcare systems. Successful implementation requires systematic approaches, stakeholder engagement, and comprehensive training for healthcare providers. Ethical considerations, such as ensuring informed consent, managing algorithmic biases, and maintaining the human element in care, are crucial for responsible deployment. As AI technology evolves, future directions may include enhanced natural language processing, multimodal integration, and AI-augmented clinical decision support. This editorial emphasizes the need for a balanced approach that leverages the potential of AI while acknowledging its limitations and the irreplaceable value of human clinical judgment in depression management within primary care settings.

Artificial Intelligence and Machine Learning in Predicting Intradialytic Hypotension in Hemodialysis Patients: A Systematic Review.

Intradialytic hypotension (IDH) is a common and potentially life-threatening complication in hemodialysis patients. Traditional preventive measures have shown limited effectiveness in reducing IDH incidence. This systematic review evaluates the existing literature on the use of artificial intelligence (AI) and machine learning (ML) models for predicting IDH in hemodialysis patients. A comprehensive literature search identified five eligible studies employing diverse AI/ML algorithms, including artificial neural networks, decision trees, support vector machines, XGBoost, random forests, and LightGBM. These models utilized various features such as patient demographics, clinical data, laboratory findings, and dialysis-related parameters. The studies reported promising results, with several models achieving high prediction accuracies, sensitivities, specificities, and area under the receiver operating characteristic curve values for predicting IDH. However, limitations include variations in study populations, retrospective designs, and the need for prospective validation. Future research should focus on multicenter prospective studies, assessing clinical utility, and integrating interpretable AI/ML models into clinical decision support systems.

Metformin and Atrial Fibrillation: A Systematic Review of Their Association.

Atrial fibrillation (AF) is a common cardiac arrhythmia with a significant impact on patient outcomes and healthcare systems. Given the rising incidence of AF with age and its association with conditions, such as diabetes, there is growing interest in exploring pharmacological interventions that might mitigate AF risk. Metformin, a widely prescribed antihyperglycemic agent for type 2 diabetes mellitus (T2DM), has demonstrated various cardiovascular benefits, including anti-inflammatory and antioxidative properties, leading to speculations about its potential role in AF prevention. This systematic review synthesizes findings from five studies examining the association between metformin use and AF risk in patients with T2DM. The review included a dynamic cohort study, three retrospective cohort studies, and a case report, all sourced from databases, such as PubMed, Embase, and the Cochrane Library. The results are mixed; while some studies suggest that metformin use is linked to a reduced incidence of AF, others report no significant association, particularly in postoperative settings. The largest cohort study highlighted a dose-response relationship, suggesting prolonged metformin use correlates with lower AF risk. Conversely, a case report raised concerns about metformin-induced lactic acidosis potentially triggering AF episodes. The review underscores the heterogeneity in study designs and outcomes, pointing to the need for more robust research to establish causality and clarify underlying mechanisms. Future studies should prioritize prospective designs and explore the pleiotropic effects of metformin on atrial remodeling and electrophysiology to better understand its potential role in AF prevention.

Assessing the Renal Outcomes of Semaglutide in Diabetic Kidney Disease: A Systematic Review.

Diabetic kidney disease (DKD) is a prevalent microvascular complication of diabetes, posing a significant health burden. Semaglutide, a glucagon-like peptide-1 receptor agonist, has shown promise in mitigating renal outcomes in DKD. This systematic review aimed to evaluate the renal effects of semaglutide in individuals with DKD. A comprehensive literature search identified six eligible studies, including two case reports and four cohorts, from diverse geographic locations. The primary outcomes assessed were changes in estimated glomerular filtration rate (eGFR) and albuminuria. Secondary outcomes included acute kidney injury (AKI) incidence and other renal biomarkers. The impact of semaglutide on eGFR was variable, with some studies reporting decreases and others showing improvements or no significant changes. Albuminuria, however, was more consistently reduced, particularly in patients with macroalbuminuria. Notably, the case reports described semaglutide-associated AKI, including acute interstitial nephritis, highlighting the need for careful monitoring during therapy. Beyond renal outcomes, semaglutide consistently improved glycemic control and promoted weight loss, with generally manageable gastrointestinal side effects. The findings suggest that semaglutide may effectively reduce albuminuria in DKD, potentially slowing disease progression. However, the risk of AKI and the variable impact on eGFR underscore the need for a personalized approach and vigilant monitoring, particularly in patients with advanced CKD. Future large-scale, long-term randomized controlled trials are warranted to definitively assess the renal benefits and risks of semaglutide in DKD.

Vitamin D Receptor (VDR) Gene Polymorphisms and High-Turnover Renal Osteodystrophy or Secondary Hyperparathyroidism in End-Stage Renal Disease: A Systematic Review.

Chronic kidney disease (CKD) and end-stage renal disease (ESRD) are often complicated by high-turnover renal osteodystrophy (HTRO) and secondary hyperparathyroidism (SHPT), characterized by disturbances in mineral metabolism and skeletal abnormalities. Genetic variations within the vitamin D receptor (VDR) gene, known as VDR gene polymorphisms, have been implicated in modulating the susceptibility to HTRO and SHPT. This systematic review aims to evaluate the existing literature on the association between VDR gene polymorphisms and the development of these complications in ESRD and hemodialysis patients. A comprehensive literature search across multiple databases was conducted, and studies investigating VDR gene polymorphisms and HTRO or SHPT in ESRD or hemodialysis patients were included. The included studies examined various VDR gene polymorphisms, such as BsmI, ApaI, TaqI, and FokI, and their associations with clinical outcomes like parathyroid hormone (PTH) levels, bone mineral density, and the development of SHPT or HTRO. The findings suggest that certain VDR gene polymorphisms, notably the ApaI "aa" genotype, BsmI "bb" genotype, TaqI "tt" genotype, and FokI variant, may contribute to the pathogenesis of SHPT and HTRO by affecting PTH levels, bone turnover markers, and vitamin D sensitivity. However, the studies had relatively small sample sizes and were conducted in different populations, limiting generalizability. Further larger-scale studies, functional investigations, and exploration of gene-environment interactions are warranted to elucidate the underlying mechanisms and facilitate personalized treatment approaches for CKD and ESRD patients with mineral and bone disorders.

Polypharmacy to Clozapine Monotherapy in Treatment-Resistant Schizophrenia: A Case Report and Review of the Literature.

This case report discusses a 25-year-old Middle Eastern female with a 14-year history of schizophrenia, managed as an inpatient for nearly eight years. Initially referred to a psychiatrist at age 12, with one-year-long concerns about preoccupation with the idea of having a serious illness, depressed mood, decreased appetite, social withdrawal, and aggression, she underwent multiple admissions, various medication combinations, and electroconvulsive therapy but remained resistant to treatment until clozapine monotherapy was initiated in 2023. After starting clozapine, improvements were noted in speech, communication, and eye contact, though negative symptoms and bouts of aggression persisted. This case highlights the efficacy of clozapine monotherapy in managing treatment-resistant schizophrenia after years of ineffective polypharmacy treatment. The importance of clozapine in treating treatment-resistant schizophrenia cannot be understated. Despite its efficacy, clozapine is often underutilised globally due to concerns about adverse effects and the need for blood monitoring, leading to the overuse of antipsychotic polypharmacy. This polypharmacy is associated with higher adverse event rates, increased costs, and uncertain long-term safety. This case report demonstrates the successful management of treatment-resistant schizophrenia with clozapine monotherapy. The patient's significant improvement supports the need to prioritise clozapine, highlighting its benefits over polypharmacy and advocating for its broader use to enhance patient outcomes.

Polygonum bistorta Linn. as a green source for synthesis of biocompatible selenium nanoparticles with potent antimicrobial and antioxidant properties.

Here, we report for the first time, green-synthesized selenium nanoparticles (SeNPs) using pharmacologically potent herb of Polygonum bistorta Linn. for multiple biomedical applications. In the study, a facile and an eco-friendly approach is utilized for synthesis of SeNPs using an aqueous roots extract of P. bistorta Linn. followed by extensive characterization via Fourier transform infrared spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and Energy Dispersive X-Ray (EDX) analysis. The XRD and FTIR data determine the phase composition and successful capping of plant extract onto the surface of NPs while SEM and TEM micrographic examination reveals the elliptical and spherical morphology of the particles with a mean size of 69 ± 23 nm. After comprehensive characterization, the NPs are investigated for antifungal, antibacterial, antileishmanial, antioxidant, and biocompatibility properties. The study reveals that Polygonum bistorta Linn. synthesized SeNPs exhibit significant antibacterial and antifungal activities with Staphylococcus aureus and Fusarium oxysporum inducing the highest zone of inhibition of 14 ± 1.0 mm and 20 ± 1.2 mm, respectively at the concentration of 40 mg/mL. The NPs are also found to have antiparasitic potential against promastigote and amastigote forms of Leishmania tropica. Furthermore, the NPs are discovered to have excellent potential in neutralizing harmful free radicals thus exhibiting considerable antioxidant potential. Most importantly, Polygonum bistorta Linn. synthesized SeNPs showed substantial compatibility against blood cells in vitro studies, which signifies the nontoxic nature of the NPs. The study thus concludes that medicinally important Polygonum bistorta Linn. roots can be utilized as an eco-friendly, sustainable, and green source for the synthesis of pharmacologically potent selenium nanoparticles.

Spindle cell carcinoma of larynx: A case report.

INTRODUCTION AND IMPORTANCE: Laryngeal Spindle Cell Carcinoma (SpCC), a rare subtype constituting only 0.5% of cases, poses diagnostic challenges due to its biphasic nature and histological resemblance to other neoplasms. Our study explores unique observations, including monoclonal epithelial origin and an unusually large tumor triggering respiratory distress. CASE REPORT: In this comprehensive case report, a 62-year-old male with a history of tuberculosis and extensive smoking presented with respiratory distress and a white vocal cord mass, diagnosed as spindle cell carcinoma (SpCC). Laryngoscopic and imaging evaluations revealed an ill-defined mass originating from the right supraglottic larynx. Histopathological examination and immunohistochemistry confirmed confirming the diagnosis. The management included immediate tracheostomy, surgical resection, adjuvant radiation therapy, and chemotherapy. Regular follow-ups and a multidisciplinary approach contributed to a successful three-year outcome without recurrence. CLINICAL DISCUSSION: Spindle Cell Carcinomas (SpCCs) of the larynx, historically termed carcinosarcoma and sarcomatoid carcinoma, are rare and predominantly affect middle-aged to elderly males. These biphasic tumors arise from both epithelial and spindle cell elements and present with symptoms like hoarseness and dysphagia. Risk factors include tobacco use, alcohol, and viral infections. Accurate diagnosis relies on histological and immunohistochemical analysis. Early detection facilitates favorable outcomes, with five-year survival rates ranging from 65 to 95%. CONCLUSION: Spindle Cell Carcinoma (SpCC) of the larynx, originating from epithelial and spindle cell elements, requires early detection through histological and immunohistochemical analysis. Early diagnosis leads to a notably optimistic five-year survival prognosis.

Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease.

Mobile health (mHealth) interventions have emerged as a promising approach for cardiovascular disease (CVD) prevention and management. The proliferation of smartphones and wearable devices enables convenient access to health monitoring tools, educational resources, and communication with healthcare providers. mHealth interventions encompass mobile apps, wearables, and telehealth services that empower users to monitor vital signs, adhere to medication, and adopt healthier lifestyles. Their effectiveness hinges on user engagement, leveraging behavioral science principles and gamification strategies. While mHealth offers advantages such as personalized support and increased reach, it faces challenges pertaining to data privacy, security concerns, and resistance from healthcare providers. Robust encryption and adherence to regulations like the Health Insurance Portability and Accountability Act (HIPAA) are crucial for safeguarding sensitive health data. Integrating mHealth into clinical workflows can enhance healthcare delivery, but organizational adjustments are necessary. The future of mHealth is closely intertwined with artificial intelligence (AI), enabling remote monitoring, predictive algorithms, and data-driven insights. Tech giants are incorporating advanced health-tracking capabilities into their devices, paving the way for personalized wellness approaches. However, mHealth grapples with ethical dilemmas surrounding data ownership, privacy breaches, and inadvertent data capture. Despite its potential, mHealth necessitates a concerted effort to overcome obstacles and ensure ethical, secure, and practical implementation. Addressing technical challenges, fostering standardization, and promoting equitable access are pivotal for unlocking the transformative impact of mHealth on cardiovascular health and reducing the global burden of CVD.