Clinical presentation and surgical outcomes in patients with Shone's complex: a systematic review.

OBJECTIVE: Shone's complex comprises of a combination of congenital cardiac anomalies causing obstructions in the left ventricle's inflow and outflow tracts. This systematic review aims to evaluate the clinical features and surgical outcomes of Shone's complex. METHODS: An electronic literature search of PubMed and Scopus was performed to identify relevant studies related to the presentation, management, and outcomes of Shone's complex. Two reviewers independently performed selection. Data on study characteristics, participant demographics, interventions, outcomes, and follow-up durations were extracted and analyzed. RESULTS: A total of 691 papers were identified, with 18 studies included in the final analysis. The majority of the studies (n = 12) focused on the pediatric age group. The most common clinical presentations were coarctation of the aorta (n = 17) and mitral stenosis (n = 12). Surgical interventions often involved staged approaches, prioritizing outflow before inflow obstructions. Mitral valve repair was preferred over replacement due to better long-term outcomes (n = 8). Biventricular repair was recommended due to improved postoperative outcomes, but often needed reoperations. Reoperations were common, primarily due to recurrent coarctation (n = 10), subaortic stenosis (n = 8), and mitral valve dysfunction (n = 7). Pulmonary hypertension (n = 10) and arrhythmias (n = 11) were significant complications. Most patients were in modified Ross/NYHA functional class 1 on follow-up. Mortality rates ranged from 4 to 28%, with better outcomes associated with early and strategic surgical interventions. CONCLUSION: Early diagnosis and biventricular repair were associated with better outcomes while transplantation was often an eventuality. Standardized diagnostic criteria, long-term follow-up, and consensus guidelines are needed to improve the management of this congenital heart disease.

Advanced statistical methods for hazard modeling in cardiothoracic surgery: a comprehensive review of techniques and approaches.

Hazard modeling in cardiothoracic surgery, crucial for understanding patient outcomes, utilizes survival analysis like the Cox proportional hazards model. Kaplan-Meier curves are employed in survival analysis to represent the probability of survival over time. While Cox assumes proportional hazards, the Fine-Gray model deals with competing risks. Parametric models (e.g., Weibull) specify survival distributions, unlike Cox. Bayesian analysis integrates prior knowledge with data. Machine learning, including decision trees and support vector machines, enhances risk prediction by analyzing extensive datasets. However, it is important to note that whatever new approaches one may adopt will enhance the quality of risk assessment and not the risk assessment as such. Preprocessing is vital for data quality in complex cardiovascular datasets, alongside robust validation methods like cross-validation for model reliability across patient cohorts.

Evaluating ChatGPT's efficacy and readability to common pediatric ophthalmology and strabismus-related questions.

INTRODUCTION: The rise in popularity of chatbots, particularly ChatGPT by OpenAI among the general public and its utility in the healthcare field is a topic of present controversy. The current study aimed at assessing the reliability and accuracy of ChatGPT's responses to inquiries posed by parents, specifically focusing on a range of pediatric ophthalmological and strabismus conditions. METHODS: Patient queries were collected via a thematic analysis and posed to ChatGPT 3.5 version across 3 unique instances each. The questions were divided into 12 domains totalling 817 unique questions. All responses were scored on the response quality by two experienced pediatric ophthalmologists in a Likert-scale format. All questions were evaluated for readability using the Flesch-Kincaid Grade Level (FKGL) and character counts. RESULTS: A total of 638 (78.09%) questions were scored to be perfectly correct, 156 (19.09%) were scored correct but incomplete and only 23 (2.81%) were scored to be partially incorrect. None of the responses were scored to be completely incorrect. Average FKGL score was 14.49 [95% CI 14.4004-14.5854] and the average character count was 1825.33 [95%CI 1791.95-1858.7] with p = 0.831 and 0.697 respectively. The minimum and maximum FKGL scores were 10.6 and 18.34 respectively. FKGL predicted character count, R²=.012, F(1,815) = 10.26, p = .001. CONCLUSION: ChatGPT provided accurate and reliable information for a majority of the questions. The readability of the questions was much above the typically required standards for adults, which is concerning. Despite these limitations, it is evident that this technology will play a significant role in the healthcare industry.

Effect of information delivery techniques in reducing pre-procedural anxiety in computed tomography.

OBJECTIVES: Patients undergoing medical procedures often experience heightened anxiety, which can affect their experience and overall health. The current study aimed at looking at a quality improvement initiative to compare written and audiovisual information delivery methods to reduce anxiety prior to Computed Tomography (CT). METHODS: In this prospective interventional study, we assessed state and trait anxiety in patients scheduled for their first CT scan. Three PDSA cycles were carried out over six months, with each cycle lasting for two months each. The participants were divided into three groups, the baseline, written, and audiovisual intervention groups. Anxiety levels were assessed using the State-Trait Anxiety Inventory (STAI) questionnaire. State anxiety is a temporary emotional response, while trait anxiety reflects enduring personality characteristics. RESULTS: The mean age of participants was 43.26 years (SD 15.07) in the baseline group, 39.9 years (SD 14.72) in the written group, and 48.59 years (SD 13.54) in the audiovisual group. For state anxiety, the baseline mean was 58.4 (SD 6.9), notably reduced to 43.2 (SD 5.5) with written intervention and to 38.6 (SD 7.7) with audiovisual intervention (p < 0.001). Trait anxiety scores remained relatively stable in all groups (p = 0.31). CONCLUSION: Both written and audiovisual interventions successfully alleviate pre-imaging anxiety in patients undergoing CT scans. The findings underscore the superior efficacy of audiovisual materials in achieving a more substantial reduction in state anxiety compared to written information. These findings are particularly relevant in resource limited settings where simple interventions show significant improvements.

Anesthetic considerations for joint replacement surgery in hemophilic arthropathy: a comprehensive review.

Managing hemophilia in patients undergoing joint replacement surgery requires a comprehensive approach encompassing preoperative assessment, meticulous intraoperative care, and tailored postoperative management. Evaluation of joint integrity, bleeding history, and inhibitor presence guides surgical planning and hemostatic therapy selection to optimize outcomes. During surgery, careful attention to factor replacement, antibiotic prophylaxis, anesthetic techniques, and orthopedic strategies minimizes bleeding risk and enhances surgical success. Postoperatively, effective pain management, continued hemostatic therapy, and individualized rehabilitation programs are vital for facilitating recovery and preventing complications. Close monitoring for potential complications, such as periprosthetic joint infection and recurrent hemarthrosis, allows for prompt intervention when necessary. Overall, a collaborative approach involving hematologists, orthopedic surgeons, anesthesiologists, and rehabilitation specialists ensures comprehensive care tailored to the unique needs of patients with hemophilia undergoing joint replacement surgery, ultimately optimizing outcomes and improving quality of life. This holistic approach addresses the multifaceted challenges posed by hemophilia and joint replacement surgery, providing patients with the best possible chance for successful outcomes and long-term joint function. By integrating specialized expertise from multiple disciplines and implementing evidence-based strategies, healthcare providers can effectively manage hemophilia in the context of joint replacement surgery, mitigating risks and maximizing benefits for patients.

Clinicopathologic study of caruncular lesions.

PURPOSE: The caruncle is a unique anatomical site in the human body, comprising various structures derived from the surface ectoderm and mesoderm. Caruncular lesions can range from benign to malignant and present challenges in accurate diagnosis and timely management due to their hidden nature and proximity to the lacrimal sac. This study aims to provide a comprehensive description of caruncular lesions, presenting the first Indian case series on this topic. METHODS: Ethical approval was obtained, and data collection was conducted at a tertiary care center in India. A retrospective analysis was performed on 44 patients with caruncular lesions treated between 2013 and 2020. Detailed patient histories, clinical examinations, slit lamp imaging, and excision biopsies were conducted. Histopathological examination of the specimens was carried out. RESULTS: The study included 42 cases of caruncular lesions, with a mean age of 31.09 years. The majority of cases were male (54.54%). Benign lesions accounted for 84.09% of the cases, while premalignant and malignant lesions accounted for 11.36% and 4.54%, respectively. Papilloma and nevus were the most common lesions, with 11 cases each. All caruncular lesions were successfully and completely excised without complications. Histopathological examination confirmed the accuracy of the diagnoses, with an 84.09% concordance rate between clinical assessment and pathological diagnosis. CONCLUSION: This case series reveals a predominance of benign lesions among individuals in their early thirties. The successful excision of all lesions with a high concordance rate between clinical assessment and histopathological diagnosis underscores the importance of timely and accurate management.

The Impact of Prevotella on Neurobiology in Aging: Deciphering Dendritic Cell Activity and Inflammatory Dynamics.

Prevotella species, notably Prevotella copri, significantly populate the human gut. In particular, P. copri is prevalent among non-Western populations with diets high in fiber. These species show complex relationships with diverse health aspects, associating with beneficial outcomes, including reduced visceral fat and improved glucose tolerance. Studies implicate various Prevotella species in specific diseases. Prevotella nigrescens and Porphyromonas gingivalis were linked to periodontal disease, promoting immune responses and influencing T helper type 17 (Th17) cells. Prevotella bivia was associated with bacterial vaginosis and a specific increase in activated cells in the vaginal mucosa. In contrast, they have shown substantial potential for inducing connective tissue degradation and alveolar bone resorption. Prevotella's role in neuroinflammatory disorders and autoinflammatory conditions such as Alzheimer's disease and Parkinson's disease has also been noted. The complex relationship between Prevotella and age-related conditions further extends to neurobiological changes in aging, with varying associations with Alzheimer's, Parkinson's, and other inflammatory conditions. Studies have also identified Prevotella to be implicated in cognitive decline in middle aged and the elderly. Future directions in this research area are anticipated to explore Prevotella-associated inflammatory mechanisms and therapeutic interventions. Investigating specific drug targets and immunomodulatory measures could lead to novel therapeutic strategies. Understanding how Prevotella-induced inflammation interacts with aging diseases would offer promising insights for treatments and interventions. This review urges ongoing research to discover therapeutic targets and mechanisms for moderating Prevotella-associated inflammation to further enhance our understanding and improve health outcomes.

Radio-anatomical evaluation of clinical and radiomic profile of multi-parametric magnetic resonance imaging of de novo glioblastoma multiforme.

BACKGROUND: Glioblastoma (GBM) is a fatal, fast-growing, and aggressive brain tumor arising from glial cells or their progenitors. It is a primary malignancy with a poor prognosis. The current study aims at evaluating the neuroradiological parameters of de novo GBM by analyzing the brain multi-parametric magnetic resonance imaging (mpMRI) scans acquired from a publicly available database analysis of the scans. METHODS: The dataset used was the mpMRI scans for de novo glioblastoma (GBM) patients from the University of Pennsylvania Health System, called the UPENN-GBM dataset. This was a collection from The Cancer Imaging Archive (TCIA), a part of the National Cancer Institute. The MRIs were reviewed by a single diagnostic radiologist, and the tumor parameters were recorded, wherein all recorded data was corroborated with the clinical findings. RESULTS: The study included a total of 58 subjects who were predominantly male (male:female ratio of 1.07:1). The mean age with SD was 58.49 (11.39) years. Mean survival days with SD were 347 (416.21) days. The left parietal lobe was the most commonly found tumor location with 11 (18.96%) patients. The mean intensity for T1, T2, and FLAIR with SD was 1.45E + 02 (20.42), 1.11E + 02 (17.61), and 141.64 (30.67), respectively (p = < 0.001). The tumor dimensions of anteroposterior, transverse, and craniocaudal gave a z-score (significance level = 0.05) of - 2.53 (p = 0.01), - 3.89 (p < 0.001), and 1.53 (p = 0.12), respectively. CONCLUSION: The current study takes a third-party database and reduces physician bias from interfering with study findings. Further prospective and retrospective studies are needed to provide conclusive data.

BEYOND TRADITIONAL TOOLS: EXPLORING CONVOLUTIONAL NEURAL NETWORKS AS INNOVATIVE PROGNOSTIC MODELS IN PANCREATIC DUCTAL ADENOCARCINOMA.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive and lethal form of cancer with limited prognostic accuracy using traditional factors. This has led to the exploration of innovative prognostic models, including convolutional neural networks (CNNs), in PDAC. CNNs, a type of artificial intelligence algorithm, have shown promise in various medical applications, including image analysis and pattern recognition. Their ability to extract complex features from medical images makes them suitable for improving prognostication in PDAC. However, implementing CNNs in clinical practice poses challenges, such as data availability and interpretability. Future research should focus on multi-center studies, integrating multiple data modalities, and combining CNN outputs with biomarker panels. Collaborative efforts and patient autonomy should be considered to ensure the ethical implementation of CNN-based prognostic models. Further validation and optimisation of CNN-based models are necessary to enhance their reliability and clinical utility in PDAC prognostication. BACKGROUND: •Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with limited prognostic accuracy through traditional methods. BACKGROUND: •Convolutional neural networks (CNNs) are being explored for prognostic models in PDAC. BACKGROUND: •They can extract complex features from images, aiding PDAC prognostication. BACKGROUND: •Further validation and optimization of CNN-based models are needed for better reliability and clinical utility in PDAC.

Clinical Evaluation and Surgical Management of Ocular Malakoplakia of the Caruncle and Periorbital Region: A Report of Two Case and Literature Review.

Ocular malakoplakia, a rare inflammatory disorder characterized by Michaelis-Gutmann bodies, is presented in 2 unique cases involving uncommon anatomical sites-the orbit and caruncle. The first case describes a 10-year-old girl with localized subconjunctival swelling near the caruncle, prompting surgical excision, and revealing characteristic malakoplakia features. Despite medical management, surgical intervention provided symptom relief. The second case involves a painless swelling below the lower lid in a 23-year-old female, initially suggestive of lymphoma. Excision biopsy confirmed malakoplakia, emphasizing the potential for clinical misdiagnosis. Histopathological examination showcased Michaelis-Gutmann bodies, von Hansemann cells, and chronic inflammation, confirming the ocular malakoplakia diagnosis. These cases underscore the rarity of ocular malakoplakia, particularly in pediatric patients, and highlight the importance of accurate diagnosis and appropriate management.

Além das ferramentas tradicionais: explorando redes neurais convolucionais como modelos prognósticos inovadores no adenocarcinoma ductal pancreático / Beyond traditional tools: exploring convolutional neural networks as innovative prognostic models in pancreatic ductal adenocarcinoma

ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive and lethal form of cancer with limited prognostic accuracy using traditional factors. This has led to the exploration of innovative prognostic models, including convolutional neural networks (CNNs), in PDAC. CNNs, a type of artificial intelligence algorithm, have shown promise in various medical applications, including image analysis and pattern recognition. Their ability to extract complex features from medical images makes them suitable for improving prognostication in PDAC. However, implementing CNNs in clinical practice poses challenges, such as data availability and interpretability. Future research should focus on multi-center studies, integrating multiple data modalities, and combining CNN outputs with biomarker panels. Collaborative efforts and patient autonomy should be considered to ensure the ethical implementation of CNN-based prognostic models. Further validation and optimisation of CNN-based models are necessary to enhance their reliability and clinical utility in PDAC prognostication.

RESUMO Contexto O adenocarcinoma ductal pancreático (ACDP) é uma forma de câncer altamente agressiva e letal com precisão prognóstica limitada usando fatores tradicionais. Isso levou à exploração de modelos prognósticos inovadores, incluindo redes neurais convolucionais (CNNs), no ACDP. As CNNs, um tipo de algoritmo de inteligência artificial, mostraram promessa em várias aplicações médicas, incluindo análise de imagem e reconhecimento de padrões. Sua capacidade de extrair características complexas de imagens médicas as torna adequadas para melhorar o prognóstico no ACDP. No entanto, a implementação de CNNs na prática clínica apresenta desafios, como a disponibilidade de dados e a interpretabilidade. Pesquisas futuras devem se concentrar em estudos multicêntricos, integrando múltiplas modalidades de dados e combinando saídas de CNN com painéis de biomarcadores. Esforços colaborativos e autonomia do paciente devem ser considerados para garantir a implementação ética de modelos prognósticos baseados em CNN. Mais validação e otimização de modelos baseados em CNN são necessárias para aumentar sua confiabilidade e utilidade clínica na prognostico do ACDP.

Clinical and diagnostic profile of Tolosa-Hunt syndrome; a 7-year retrospective observational study.

BACKGROUND: Tolosa Hunt Syndrome (THS) was first delineated in 1954 and is caused by a granulomatous inflammation in the cavernous sinus, superior orbital fissure or orbit. In this study the different clinical and diagnostic findings of THS are discussed. METHODS: Case records of patients diagnosed with THS using the International Classification of Headache Disorders 3rd edition criteria from January 2016-July 2022 were considered for the current study. Demographic, Clinical, Laboratory and Radiological data of all patients fulfilling the inclusion and exclusion criteria was collected from the patient case records through the Medical Records Department of BMCRI Super Specialty Hospital. RESULTS: A total of 60 patients were included in the study with mean age with SD, 50.9 years (13.9) and were predominantly male (66.6%). Restriction of eye movements was the most common symptom affecting 31 (51.7%) patients. Oculomotor nerve (IIIrd Cranial Nerve) palsy was the most common nerve palsy, affecting 36 (60%) patients. Contrast enhancing lesions or T2/FLAIR Hyper-intense areas were seen in the Magnetic Resonance Imaging (MRI) of 59 (98.3%) patients. Cavernous sinus involvement, was the most common site of involvement, in 25 (41.6%) of the patients. All patients were treated with intravenous methyl prednisolone injections and responded well. CONCLUSION: Restriction of eye movements was the most common symptom, along with cavernous sinus being the most common site of involvement in THS. MRI scans are important diagnostic tools for THS.

Post-hypoxic myoclonus; what we know and gaps in knowledge.

Post-hypoxic myoclonus (PHM) is a rare neurological complication having two different variants depending on acute or chronic onset after cardiopulmonary resuscitation following cardiac arrest: myoclonic status epilepticus (MSE) and Lance-Adams syndrome (LAS) respectively. Clinical and simultaneous electro-encephalographic (EEG) and electromyographic (EMG) tracing can distinguish between the two. Anecdotal treatment with benzodiazepines and anaesthetics (in the case of MSE) have been tried. Although limited evidence is available, valproic acid, clonazepam and levetiracetam, either in combination with other drugs or alone, have shown to control epilepsy associated with LAS effectively. Deep brain stimulation is a novel and promising advance in LAS treatment.

Ocular Manifestations in Head and Neck Cancer: A Cross-Sectional Study from a Tertiary Care Centre from South India.

Introduction: Head and neck cancers (HNCs) present a significant global health burden, especially in India, where oral cavity cancers, notably affecting the tongue, are prevalent. A substantial portion of global HNCs (57.5%) is concentrated in Asia, India contributing with 30%. Despite advancements, challenges persist due to HNCs' invasive nature and metastatic potential. This study aims to explore the link between HNCs and ocular manifestations. Methods: A cross-sectional study was conducted at Bangalore Medical College and Research Institute involving 47 patients with diagnosed HNCs and ocular complaints. Clinical evaluations encompassed visual acuity, anterior and posterior segment examinations, and specialized investigations when necessary. Results: A diverse range of malignancies were observed, with SCC maxilla and xeroderma pigmentosa, each accounting for 10.63% of cases. Ocular examinations unveiled visual acuity challenges, anterior segment findings like masses, exotropia, pigmented lesions, and varied fundus abnormalities. The anterior segment findings encompassed masses often accompanied by protrusion or relative afferent pupillary defect (RAPD). Additionally, exotropia, pigmented lesions, and other conditions were observed. Fundus examination revealed a spectrum of findings, including media haziness (10.63%), lack of view (17.02%), and pale discs (6.38%). Treatment plans were diverse, including excision biopsies (42.55%), exenteration procedures, Mitomycin-C applications, and referrals for chemotherapy and radiotherapy. Conclusion: The present study underscores the significance of ophthalmological assessment and investigations in patients with diagnosed HNCs, emphasizing the value of early detection and intervention. Abbreviations: HNC = Head and Neck Cancer, OCT = Optical Coherence Tomography, WNL = Within Normal Limits, SCC = Squamous Cell Carcinoma, MRI = Magnetic Resonance Imaging, CT = Computed Tomography, RAPD = Relative Afferent Pupillary Defect, XP = Xeroderma Pigmentosa.