Thyroid Density in CT Imaging as a Potential Marker of Lung Involvement in COVID-19: A Retrospective Analysis.

Background The SARS-CoV-2 pandemic has underscored the multifaceted impact of the virus on human health, extending beyond the respiratory system to involve other organ systems, including the endocrine system. Emerging evidence suggests a notable interaction between COVID-19 and thyroid function, characterized by alterations in thyroid hormone levels and structural changes within the gland. This study aims to explore the association between thyroid density on CT imaging and lung involvement in patients with COVID-19, potentially offering new insights into the systemic effects of the virus. Methodology A retrospective cross-sectional analysis was conducted on 1,066 patients with COVID-19 who underwent chest CT scans without contrast at Government Medical College, Omandurar Government Estate, Chennai, which was designated as the COVID-19 care center from April to June 2021. Thyroid density and lung involvement were quantitatively assessed, and their correlation was analyzed using descriptive and inferential statistics, including the Kruskal-Wallis H test and Shapiro-Wilk test for normality. Results The study population predominantly exhibited normal thyroid density (749, 70.3%), followed by altered (212, 19.9%), nodular (104, 9.8%), and a single instance (0.1%) of absent thyroid density. Despite variability in lung involvement across different thyroid density categories, statistical analysis revealed no significant association between thyroid density and the extent of lung involvement in patients with COVID-19. Conclusions This study found no significant correlation between thyroid density and lung involvement in patients with COVID-19, suggesting that thyroid density on CT imaging may not serve as a reliable marker for lung involvement in this population. Further research is warranted to explore the complex interactions between COVID-19 and thyroid function, as well as the potential implications for patient management and prognosis.

Standardized Informed Consent Form for Clinicians Administering Platelet-Rich Plasma.

Introduction When it comes to medico-legal malpractice suits, lawyers and insurers tend to focus on informed consent documentation. Unfortunately, there is no standard protocol for obtaining informed consent for the use of platelet-rich plasma (PRP) injections, which might cause problems. This study aimed to mitigate this concern through the development of a standardized informed consent document for PRP injections, grounded in evidence-based practices. Materials and methods An examination of databases was conducted to explore the medico-legal ramifications associated with PRP injections, as well as the broader topic of informed consent, with a particular focus on the context of PRP injections. Moreover, interviews were carried out with healthcare providers and individuals who had received PRP injections within the preceding year, utilizing a semi-structured methodology. Results We developed an evidence-based informed consent document tailored for PRP injections. To guarantee its legal validity, the document underwent review by a legal specialist. Subsequently, our institutions implemented the finalized form for PRP injection procedures over one year. Conclusion A legally valid and evidence-based informed consent form for PRP injections would ensure patient's rights, and encourage open communication and transparency between them and the doctor. Moreover, if a lawsuit were to arise, it would serve as a critical document in the doctor's defense and withstand scrutiny from lawyers and the judiciary.

Vaccination and Its Impact on Lung Involvement in COVID-19 Patients: A Retrospective Study in India.

Background COVID-19, caused by SARS-CoV-2, led to a global pandemic necessitating urgent vaccine development and deployment. By the end of 2020, several vaccines had reached their clinical trial endpoints. India, leveraging its pharmaceutical prowess, developed two primary vaccines: CoviShield® and Covaxin®. Despite the availability of these vaccines, vaccine hesitancy became a notable challenge. This study aimed to assess the correlation between vaccination status and lung involvement in COVID-19 patients, aiming to fortify trust in vaccines and enhance vaccine uptake in India. Methods This retrospective cross-sectional study analyzed data from 272 patients treated at a designated COVID-19 Care Center in Chennai, India, from May to July 2021. Patients were divided into vaccinated and unvaccinated groups, with vaccinated individuals further categorized based on the type and dose of vaccine received (CoviShield® or Covaxin®). Lung involvement was assessed through CT chest scans, and statistical analyses were performed to compare the severity of lung involvement across different groups. Results The vaccinated group demonstrated significantly lower mean lung involvement (28%) compared to the unvaccinated group (34.8%). Within vaccinated individuals, no significant differences were observed between different vaccine types and doses, suggesting a generalized protective effect of COVID-19 vaccination against severe lung involvement. Conclusion Vaccination against COVID-19 significantly reduces the severity of lung involvement among patients, irrespective of the vaccine brand or dose. This study reinforces the importance of vaccination in mitigating the impact of COVID-19 and supports ongoing vaccination efforts.

Whole-body cryotherapy in orthopaedics: current concepts.

The use of whole-body cryotherapy (WBC) for musculoskeletal ailments is growing. WBC, involving brief exposure to extremely low temperatures, is increasingly used for its analgesic, anti-inflammatory, and antioxidant effects. The paper examines the physiological impacts of WBC on cardiovascular, musculoskeletal, hematologic, hormonal, and metabolic systems. Specific orthopaedic applications discussed include its role in the management of fractures, osteoarthritis, osteonecrosis of the femoral head, osteomyelitis, adhesive capsulitis, tendinopathies, rheumatic pathologies, chronic pain syndromes, and fibromyalgia. The study also highlights the benefits and drawbacks of WBC, including its potential to improve athletic performance, recovery, mood, and well-being, while noting risks like frostbite and impaired muscle strength. Clinical evidence from various studies is evaluated, revealing a spectrum of outcomes. For instance, WBC shows promise in enhancing bone health in athletes and providing relief in osteoarthritis and fibromyalgia patients. However, evidence for its efficacy in conditions like chronic pain syndromes and osteomyelitis is less robust. The paper underscores the need for further research to establish standardised protocols and understand long-term effects. While WBC offers significant benefits in orthopaedics, understanding its limitations and potential risks is crucial for its safe and effective clinical application.

Exploring the Correlation Between Splenomegaly and Lung Involvement in COVID-19: A Retrospective Study.

Background Coronavirus disease 2019 (COVID-19), resulting from the severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), has not only shown substantial effects on the respiratory system but also on extrapulmonary systems, including cardiovascular, gastrointestinal, hematological, and immune responses, notably spleen enlargement. The connection between the enlargement of the spleen and pulmonary complications in individuals with COVID-19 is still not well elucidated, with current studies offering divergent conclusions. Objective This study aims to elucidate the correlation between splenomegaly, as assessed by computed tomography (CT) imaging, and the extent of lung involvement (LI) in COVID-19 patients, thereby offering insights into potential prognostic indicators. Methodology A hospital-based, cross-sectional, retrospective study was conducted involving 1058 symptomatic COVID-19 patients confirmed by reverse transcriptase-polymerase chain reaction (RT-PCR), aged 18 years and above. CT imaging was utilized to evaluate spleen size and LI. Statistical analyses, including Pearson correlation and simple linear regression, were performed to explore the relationship between spleen size and LI. Results The study cohort exhibited a mean spleen size of 9.49 cm and a mean LI score of 0.272. The Pearson correlation coefficient was calculated at 0.0495, indicating a marginal positive correlation between spleen size and LI. Regression analysis demonstrated a minimal impact of spleen size on LI, with spleen size accounting for only 0.2% of the variance in LI scores. Conclusions The study found a slight, statistically non-significant correlation between splenomegaly and LI in COVID-19 patients, suggesting that while splenic enlargement may reflect systemic disease involvement, it is not a strong independent predictor of lung damage extent. The findings highlight the complexity of extrapulmonary manifestations and highlight the need for additional research to fully understand the implications of splenic involvement in COVID-19.

Vitamin B12 Status in Rural Adolescent School Girls in Mysuru, India: A Community-Based Cross-Sectional Study.

Almost 56% of Indian adolescent girls aged 15-19 years suffer from anemia. Adolescent age is a period of many significant physiological changes that increase nutritional demand, and they remain at risk for nutritional deficiencies. Our aim is to assess the prevalence of Vitamin B12 deficiency among school-going adolescent girls aged 13-16 years of rural Mysore. This study was a cross-sectional study, conducted in two high schools in rural Mysuru. Adolescent girls aged 13-16 years were included. The chosen subjects underwent complete hemogram, peripheral smear examination, and vitamin B12 level estimation. Out of 98 subjects enrolled, 40.81% were found to be deficient in vitamin B12. Macrocytes and hyper-segmented neutrophils were found to have statistically significant (P value < 0.001) relationship with vitamin B12 deficiency. The relationship between vitamin B12 deficiency with either type of diet and anemia was statically insignificant (P > 0.05). The prevalence of vitamin B12 deficiency among rural adolescent girls in Mysuru is high. Other causes of nutritional anemia apart from iron deficiency, such as vitamin B12 deficiency, must be considered in the etiology of anemia and optimally treated. It is recommended to further strengthen the adolescent national health programs and food fortification programs.

Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare.

The integration of artificial intelligence (AI) into healthcare promises groundbreaking advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and decision-making. This transformative technology uses machine learning, natural language processing, and large language models (LLMs) to process and reason like human intelligence. OpenAI's ChatGPT, a sophisticated LLM, holds immense potential in medical practice, research, and education. However, as AI in healthcare gains momentum, it brings forth profound ethical challenges that demand careful consideration. This comprehensive review explores key ethical concerns in the domain, including privacy, transparency, trust, responsibility, bias, and data quality. Protecting patient privacy in data-driven healthcare is crucial, with potential implications for psychological well-being and data sharing. Strategies like homomorphic encryption (HE) and secure multiparty computation (SMPC) are vital to preserving confidentiality. Transparency and trustworthiness of AI systems are essential, particularly in high-risk decision-making scenarios. Explainable AI (XAI) emerges as a critical aspect, ensuring a clear understanding of AI-generated predictions. Cybersecurity becomes a pressing concern as AI's complexity creates vulnerabilities for potential breaches. Determining responsibility in AI-driven outcomes raises important questions, with debates on AI's moral agency and human accountability. Shifting from data ownership to data stewardship enables responsible data management in compliance with regulations. Addressing bias in healthcare data is crucial to avoid AI-driven inequities. Biases present in data collection and algorithm development can perpetuate healthcare disparities. A public-health approach is advocated to address inequalities and promote diversity in AI research and the workforce. Maintaining data quality is imperative in AI applications, with convolutional neural networks showing promise in multi-input/mixed data models, offering a comprehensive patient perspective. In this ever-evolving landscape, it is imperative to adopt a multidimensional approach involving policymakers, developers, healthcare practitioners, and patients to mitigate ethical concerns. By understanding and addressing these challenges, we can harness the full potential of AI in healthcare while ensuring ethical and equitable outcomes.

ChatGPT in action: Harnessing artificial intelligence potential and addressing ethical challenges in medicine, education, and scientific research.

Artificial intelligence (AI) tools, like OpenAI's Chat Generative Pre-trained Transformer (ChatGPT), hold considerable potential in healthcare, academia, and diverse industries. Evidence demonstrates its capability at a medical student level in standardized tests, suggesting utility in medical education, radiology reporting, genetics research, data optimization, and drafting repetitive texts such as discharge summaries. Nevertheless, these tools should augment, not supplant, human expertise. Despite promising applications, ChatGPT confronts limitations, including critical thinking tasks and generating false references, necessitating stringent cross-verification. Ensuing concerns, such as potential misuse, bias, blind trust, and privacy, underscore the need for transparency, accountability, and clear policies. Evaluations of AI-generated content and preservation of academic integrity are critical. With responsible use, AI can significantly improve healthcare, academia, and industry without compromising integrity and research quality. For effective and ethical AI deployment, collaboration amongst AI developers, researchers, educators, and policymakers is vital. The development of domain-specific tools, guidelines, regulations, and the facilitation of public dialogue must underpin these endeavors to responsibly harness AI's potential.

A multicentric cross-sectional study to characterize the scale and impact of polypharmacy in rural Indian communities, conducted as part of health workers training.

CONTEXT: Polypharmacy and inappropriate medication usage is one of the world's most important public health issues. Yet in rural India, where medications are readily available, little is known about polypharmacy. AIM: This study explores factors related to polypharmacy in rural India to inform the response. SETTINGS AND DESIGN: A household survey was conducted by community health trainees, across 515 Indian villages collecting medication prescription and usage information for single illness in the past month. METHODS AND MATERIAL: Polypharmacy was defined as the concurrent usage of four or more medications for single illness. Data from 515 rural India villages were collected on medication usage for their last illness. Respondents who consulted one healthcare provider for this illness were included for analysis. STATISTICAL ANALYSIS USED: Bivariate logistic regression and multivariate generalized estimating equation analysis were used to explore associations with polypharmacy. RESULTS: Prevalence of polypharmacy was 13% (n = 273) in the sample and ranges between 1% and 35% among Indian states. Polypharmacy was common among prescriptions for nonspecific symptoms (15%, N = 404). People aged over 61 years compared with people aged between 20 and 60 years (OR 1.11, 95% CI 1.03-1.19) and people with income of over 3,000 INR/month (OR 1.04, 95% CI 1.00-1.07) were more likely to be prescribed four or more medications. CONCLUSIONS: The study demonstrates high rates of polypharmacy, identifies vulnerable populations, and provides information to improve the response to polypharmacy in rural India.