Juan Carlos Calderon

Chronic rhinosinusitis with nasal polyps (CRSwNP) is a common, disabling inflammatory airway disease marked by persistent sinonasal symptoms, impaired quality of life, and frequent comorbidities such as asthma and aspirin-exacerbated respiratory disease. Standard treatment relies on intranasal corticosteroids, systemic corticosteroids, and endoscopic sinus surgery; however, recurrence is common, and many patients develop corticosteroid dependence or require repeated surgery, raising concerns about long-term safety and disease control. Advances in understanding CRSwNP immunopathogenesis have identified type 2 (T2) inflammation as a central driver, characterized by eosinophilic infiltration and cytokine signaling mediated by interleukin (IL)-4, IL-5, IL-13, and epithelial alarmins such as thymic stromal lymphopoietin (TSLP), leading to targeted biologic therapies that modulate these pathways. This narrative review summarizes current evidence on biologic agents approved or in advanced clinical development for CRSwNP. Data from pivotal randomized controlled trials and real-world studies show that these biologics reduce nasal polyp size, improve sinonasal symptoms and olfactory function, enhance quality of life, and decrease the need for systemic corticosteroids and revision surgery, with benefits particularly pronounced in patients with coexisting asthma. Overall, biologic therapy represents a paradigm shift in managing severe CRSwNP, enabling personalized treatment while highlighting the need for long-term data, head-to-head comparisons, and cost-effectiveness analyses.

Background: Guidelines advise for the implementation of patient-reported outcomes (PROMs). Our objective is to identify the utilization patterns of PROMs, together with the reasons for their usage and the barriers to their adoption among practitioners managing patients with asthma, allergic rhinitis (AR), and rhinosinusitis (RS). Methods: This was a cross-sectional observational study using a questionnaire encompassing all pertinent PROMs and disseminated to practitioners associated with the ARIA, UCARE, ADCARE, and ACARE networks. Individuals unfamiliar with PROMS or lacking prior experience with it were eliminated. Descriptive and analytical data were utilized, categorized by the frequency and type of PROMs applied. Stata 18.0 was utilized, with p<0.05 indicating statistical significance. Results: A total of 439 practitioners participated, with PROMs predominantly utilized by physicians certified for over 30 years and by respiratory specialists (16.67% and 12.46%, respectively; p<0.05). Pulmonologists exhibited the greatest utilization of asthma PROMs at 86%, while allergists predominantly employed AR and RS PROMs at 38.42% and 33.33%, respectively (p < 0.001). ACT (66.74%), RCAT (27.79%), and SNOTT22 (15.26%) were the predominant PROMs utilized primarily for asthma (79.19%), AR (51.23%), and RS (57.26%), respectively (p0.05 across all groups). Conclusions: The use of PROMs is suboptimal, primarily due to time limitations. It is imperative that methods be swiftly implemented to include these techniques into the therapeutic environment to attain enhanced outcomes.

Background: In the era of big data, infodemiology allows identifying the distribution of information determinants in electronic media to inform public health. Google Trends (GTr) enables monitoring web activity, identifying topics, and predicting behavior in health-related phenomena. Objective: To determine search trends over time and interest by region regarding lung transplantation (LT), as well as related queries. Methods: This is an observational, descriptive study using GTr with the term "lung transplant" from 2013 to 2023. The average relative search volumes (RSVs) were analyzed along with a qualitative analysis, in Latin America, and in countries with access to LT (Argentina, Brazil, Chile, Uruguay, Colombia, Mexico, Costa Rica) and without access to LT (others). Results: There is a global upward trend from 2013 (RSVs 44) to 2023 (RSVs 52), as well as in Latin America, with higher RSVs in countries with access to LT. The RSVs in Ecuador is <10 points versus Argentina (≈40 points). Ecuador is among the top 5 countries with the highest RSVs. Regarding related queries, globally, there is a specific increase in topics such as COVID-19, "vape", "Nicki Lauda", CLAD. In Ecuador, related queries include "when it is needed", "first lung transplant", "lung function". In contrast, in Argentina, the analysis reveals queries about COPD, "Puma Rodríguez", and specific topics. Conclusions: The current data would allow establishing topics that the population is interested in knowing, preventing misinformation, through social media, and regional scientific societies.

Background: ChatGPT was not intended for use in health care, but it has potential benefits that depend on end-user understanding and acceptability, which is where health care students become crucial. There is still a limited amount of research in this area. Objective: The primary aim of our study was to assess the frequency of ChatGPT use, the perceived level of knowledge, the perceived risks associated with its use, and the ethical issues, as well as attitudes toward the use of ChatGPT in the context of education in the field of health. In addition, we aimed to examine whether there were differences across groups based on demographic variables. The second part of the study aimed to assess the association between the frequency of use, the level of perceived knowledge, the level of risk perception, and the level of perception of ethics as predictive factors for participants’ attitudes toward the use of ChatGPT. Methods: A cross-sectional survey was conducted from May to June 2023 encompassing students of medicine, nursing, dentistry, nutrition, and laboratory science across the Americas. The study used descriptive analysis, chi-square tests, and ANOVA to assess statistical significance across different categories. The study used several ordinal logistic regression models to analyze the impact of predictive factors (frequency of use, perception of knowledge, perception of risk, and ethics perception scores) on attitude as the dependent variable. The models were adjusted for gender, institution type, major, and country. Stata was used to conduct all the analyses. Results: Of 2661 health care students, 42.99% (n=1144) were unaware of ChatGPT. The median score of knowledge was “minimal” (median 2.00, IQR 1.00-3.00). Most respondents (median 2.61, IQR 2.11-3.11) regarded ChatGPT as neither ethical nor unethical. Most participants (median 3.89, IQR 3.44-4.34) “somewhat agreed” that ChatGPT (1) benefits health care settings, (2) provides trustworthy data, (3) is a helpful tool for clinical and educational medical information access, and (4) makes the work easier. In total, 70% (7/10) of people used it for homework. As the perceived knowledge of ChatGPT increased, there was a stronger tendency with regard to having a favorable attitude toward ChatGPT. Higher ethical consideration perception ratings increased the likelihood of considering ChatGPT as a source of trustworthy health care information (odds ratio [OR] 1.620, 95% CI 1.498-1.752), beneficial in medical issues (OR 1.495, 95% CI 1.452-1.539), and useful for medical literature (OR 1.494, 95% CI 1.426-1.564; P<.001 for all results). Conclusions: Over 40% of American health care students (1144/2661, 42.99%) were unaware of ChatGPT despite its extensive use in the health field. Our data revealed the positive attitudes toward ChatGPT and the desire to learn more about it. Medical educators must explore how chatbots may be included in undergraduate health care education programs.

Background: Small airways disease (SAD), a novel finding described in post-acute COVID-19 patients, should be suspected when respiratory symptoms continue, air trapping persists on expiratory CT scans, and imaging findings fail to improve despite objectively better conventional pulmonary function test (PFT) parameters. The forced oscillation technique (FOT) and Multiple breathing washout (MBW) are both very sensitive methods for detecting anomalies in the peripheral airways. Case presentation: We discuss the case of a 60-year-old Hispanic patient who had severe COVID-19 pneumonia and developed dyspnea, fatigue, and limited daily activity a year later. The PFTs revealed restrictive lung disease, as seen by significant diffusing capacity of the lungs for carbon monoxide (DLCO) decrease, severe desaturation, and poor 6-min walk test (6MWT) performance. The patient was treated with lowering corticosteroids as well as pulmonary rehabilitation (PR). During the 24-month follow-up, the dyspnea and fatigue persisted. On PFTs, 6MWT performance and restricted pattern improved slightly, but MBW discovered significant ventilatory inhomogeneity. FOT revealed substantial peripheral airway obstructive abnormalities. On CT scans, air trapping and ground-glass opacities (GGO) improved somewhat. The patient used a bronchodilator twice a day and low-dose inhaled corticosteroids (160 µg of budesonide and 4.5 µg of formoterol fumarate dihydrate) for nine months. PR sessions were resuming. The restricting parameters were stabilized and the DLCO had normalized after 36 months, with a 6MWT performance of 87% but significant desaturation. The CT scan revealed traction bronchiectasis, low GGO, and persistent air trapping. Without normalization, FOT and MBW scores improved, indicating small airway disease. Conclusions: The necessity of integrating these tests when detecting SAD is emphasized in our paper. This article lays the foundation for future research into the best ways to manage and monitor SAD in post-acute COVID-19 patients.

BACKGROUND ChatGPT was not intended for use in health care, but it has potential benefits that depend on end-user understanding and acceptability, which is where health care students become crucial. There is still a limited amount of research in this area. OBJECTIVE The primary aim of our study was to assess the frequency of ChatGPT use, the perceived level of knowledge, the perceived risks associated with its use, and the ethical issues, as well as attitudes toward the use of ChatGPT in the context of education in the field of health. In addition, we aimed to examine whether there were differences across groups based on demographic variables. The second part of the study aimed to assess the association between the frequency of use, the level of perceived knowledge, the level of risk perception, and the level of perception of ethics as predictive factors for participants’ attitudes toward the use of ChatGPT. METHODS A cross-sectional survey was conducted from May to June 2023 encompassing students of medicine, nursing, dentistry, nutrition, and laboratory science across the Americas. The study used descriptive analysis, chi-square tests, and ANOVA to assess statistical significance across different categories. The study used several ordinal logistic regression models to analyze the impact of predictive factors (frequency of use, perception of knowledge, perception of risk, and ethics perception scores) on attitude as the dependent variable. The models were adjusted for gender, institution type, major, and country. Stata was used to conduct all the analyses. RESULTS Of 2661 health care students, 42.99% (n=1144) were unaware of ChatGPT. The median score of knowledge was “minimal” (median 2.00, IQR 1.00-3.00). Most respondents (median 2.61, IQR 2.11-3.11) regarded ChatGPT as neither ethical nor unethical. Most participants (median 3.89, IQR 3.44-4.34) “somewhat agreed” that ChatGPT (1) benefits health care settings, (2) provides trustworthy data, (3) is a helpful tool for clinical and educational medical information access, and (4) makes the work easier. In total, 70% (7/10) of people used it for homework. As the perceived knowledge of ChatGPT increased, there was a stronger tendency with regard to having a favorable attitude toward ChatGPT. Higher ethical consideration perception ratings increased the likelihood of considering ChatGPT as a source of trustworthy health care information (odds ratio [OR] 1.620, 95% CI 1.498-1.752), beneficial in medical issues (OR 1.495, 95% CI 1.452-1.539), and useful for medical literature (OR 1.494, 95% CI 1.426-1.564; P<.001 for all results). CONCLUSIONS Over 40% of American health care students (1144/2661, 42.99%) were unaware of ChatGPT despite its extensive use in the health field. Our data revealed the positive attitudes toward ChatGPT and the desire to learn more about it. Medical educators must explore how chatbots may be included in undergraduate health care education programs.

Background. Advances in information and communication technologies (ICTs) represent a growing platform for the expansion of healthcare related services, but there is little information on how generational differences might account for distinct patterns of use and interest for ICTs. Our study aims to achieve a better understanding on how generational cohorts might influence the use and preferences for ICTs among patients with obstructive lung diseases in Latin America. Materials and Methods. We conducted an anonymous cross-sectional survey-based study, involving 968 patients with obstructive lung diseases (OLD) in Latin America. Patients rated their frequency of use and preferences of ICTs through a modified version of the Michigan Questionnaire. Chi-square test for association and adjusted regression analyses were performed. Results. Of all, 63.6% of participants had Internet access. Younger generations, in particular Generation Z and Millennials, had the highest rate of Internet access and smartphone ownership, as well as of overall frequency of ICT use. Web-based Internet was found to be the main source to seek information about the disease (36.9%) across all generational cohorts. Generation Z and Millennials presented the highest odds to be interested in using Twitter (OR 31.79 and 8.86) for receiving health-related information, and email (OR 4.87 and 4.86) as the preferred way to ask physicians information related to their disease through ICTs. Conclusion. Generational cohorts influence the use and preferences for ICTs among patients with obstructive lung diseases. Younger generational cohorts were associated with higher access to the Internet and smartphone ownership, as well as higher interest for using ICTs to receive and ask for health-related information.