Single-cell RNA sequencing reveals special basal cells and fibroblasts in idiopathic pulmonary fibrosis.

Idiopathic pulmonary fibrosis (IPF) is the most predominant type of idiopathic interstitial pneumonia and has an increasing incidence, poor prognosis, and unclear pathogenesis. In order to investigate the molecular mechanisms underlying IPF further, we performed single-cell RNA sequencing analysis on three healthy controls and five IPF lung tissue samples. The results revealed a significant shift in epithelial cells (ECs) phenotypes in IPF, which may be attributed to the differentiation of alveolar type 2 cells to basal cells. In addition, several previously unrecognized basal cell subtypes were preliminarily identified, including extracellular matrix basal cells, which were increased in the IPF group. We identified a special population of fibroblasts that highly expressed extracellular matrix-related genes, POSTN, CTHRC1, COL3A1, COL5A2, and COL12A1. We propose that the close interaction between ECs and fibroblasts through ligand-receptor pairs may have a critical function in IPF development. Collectively, these outcomes provide innovative perspectives on the complexity and diversity of basal cells and fibroblasts in IPF and contribute to the understanding of possible mechanisms in pathological lung fibrosis.

Motivating parents to protect their children from wildfire smoke: the impact of air quality index infographics.

Background. Wildfire smoke events are increasing in frequency and intensity due to climate change. Children are especially vulnerable to health effects even at moderate smoke levels. However, it is unclear how parents respond to Air Quality Indices (AQIs) frequently used by agencies to communicate air pollution health risks. Methods. In an experiment (3 × 2 × 2 factorial design), 2,100 parents were randomly assigned to view one of twelve adapted AQI infographics that varied by visual (table, line, gauge), index type (AQI [0-500], AQHI [1-11+]), and risk level (moderate, high). Participants were told to imagine encountering the infographic in a short-term exposure scenario. They reported worry about wildfire smoke, intentions to take risk-mitigating actions (e.g., air purifier use), and support for various exposure reduction policies. Subsequently, participants were told to imagine encountering the same infographic daily during a school week in a long-term exposure scenario and again reported worry, action intentions, and policy support. Results. Parents' responses significantly differentiated between risk levels that both pose a threat to children's health; worry and action intentions were much higher in the high-risk group than the moderate-risk group in both short-exposure (F = 748.68 p<.001; F = 411.59, p<.001) and long-exposure scenarios (F = 470.51, p<.001; F = 212.01, p<.001). However, in the short-exposure scenario, when shown the AQHI [1-11+] with either the line or gauge visuals, parents' action intentions were more similar between moderate- and high-risk level groups (3-way interaction, F = 6.03, p = .002). Conclusions. These results suggest some index formats such as the AQHI-rather than the AQI-may better attune parents to moderate levels of wildfire smoke being dangerous to children's health. Our research offers insights for agencies and officials seeking to improve current public education efforts during wildfire smoke events and speaks to the critical need to educate parents and help them act short-term and long-term to protect children's health.

From diversity to disease: unravelling the role of enteric glial cells.

Enteric glial cells (EGCs) are an essential component of the enteric nervous system (ENS) and play key roles in gastrointestinal development, homeostasis, and disease. Derived from neural crest cells, EGCs undergo complex differentiation processes regulated by various signalling pathways. Being among the most dynamic cells of the digestive system, EGCs react to cues in their surrounding microenvironment and communicate with various cell types and systems within the gut. Morphological studies and recent single cell RNA sequencing studies have unveiled heterogeneity among EGC populations with implications for regional functions and roles in diseases. In gastrointestinal disorders, including inflammatory bowel disease (IBD), infections and cancer, EGCs modulate neuroplasticity, immune responses and tumorigenesis. Recent evidence suggests that EGCs respond plastically to the microenvironmental cues, adapting their phenotype and functions in disease states and taking on a crucial role. They exhibit molecular abnormalities and alter communication with other intestinal cell types, underscoring their therapeutic potential as targets. This review delves into the multifaceted roles of EGCs, particularly emphasizing their interactions with various cell types in the gut and their significant contributions to gastrointestinal disorders. Understanding the complex roles of EGCs in gastrointestinal physiology and pathology will be crucial for the development of novel therapeutic strategies for gastrointestinal disorders.

A collaboration to harmonize COVID-19 health messaging and fill communication gaps during initial U.S. refugee resettlement.

To communicate with U.S.-bound refugees during travel to the United States during the onset of the COVID-19 pandemic, five federal and international organizations collaborated in a strategic work group to synergize COVID-19 prevention health messaging and COVID-19 considerations before, during, and after travel, as well as promote shared resources. This work group sought to establish consistent COVID-19 messaging, disseminate messages to partners, and identify message gaps as the pandemic evolved. In early Fall 2020, CDC released new communication materials, including a fact sheet, a welcome booklet, and infographics translated into 19 languages, to address refugee health partners' need for culturally and linguistically concordant educational materials for refugees. Rapidly changing health communications needs during the pandemic fostered opportunities for collaboration among federal and refugee health partners and highlighted a long-standing need among agencies to address health messaging across the continuum of care for refugees.

Perceptions of patient-provider communications with healthcare providers among sexual and gender minority individuals in the United States.

OBJECTIVES: To identify perceived differences in the key domains of patient-provider communications between sexual and gender minority (SGM) and non-SGM patients. METHODS: We reviewed data from the Health Information National Trends Survey (HINTS) to assess patient perspectives on different domains of patient-provider communications in the ideological framework by Epstein and Street (2007) [1]. Between SGM-identified (N = 491) and cisgender, heterosexual respondents (N = 7426), we assessed the proportions of responses to survey questions about the six domains of patient-provider communications and calculated odds ratios (OR) with 95 % confidence intervals (CI) (N = 7917). RESULTS: Overall, compared to cisgender, heterosexual individuals, fewer SGM individuals reported always experiencing optimal patient-provider communications across all domains, most notably in areas of emotional support (OR=0.70, 95 % CI: (0.51, 0.97)), patient self-management (OR=0.73, 95 % CI: (0.54, 0.99)), and managing uncertainty (OR=0.68, 95 % CI: (0.49, 0.94)). CONCLUSION: Further research on detailed SGM patient perceptions of their relationships with healthcare providers is needed to understand why such differences in communication exist and provide practical recommendations to improve care delivery. PRACTICE IMPLICATIONS: SGM patients perceive their current provider communications to be suboptimal, so we must improve emotional management training in future provider-based SGM competency trainings and encourage patient self-management during individual provider encounters.

Exploring the Telephone Call Experience of Patients with Non-English Language Preference in Primary Care vs. Specialty.

BACKGROUND: Latine people, comprising 18.5% of the US population, constitute the largest ethnic minority group, with nearly one-third self-identifying as having non-English language preference (NELP). Despite the importance of the telephone in health care access, there is limited understanding of how NELP patients navigate telephone calls with primary and specialty care clinics. OBJECTIVE: This qualitative study aims to capture how Spanish speakers with NELP characterize their telephone call experiences with primary and specialty care clinics. DESIGN: Semi-structured interviews were conducted with 24 Spanish-speaking participants from primary care clinics with a sizeable proportion of patients who prefer to communicate in a language other than English at an urban academic medical center in Boston, MA. PARTICIPANTS: Participants were selected from primary care clinics that were well-equipped to serve Spanish-speaking patients. A total of 24 Spanish-speaking patients with NELP, mainly women (83%), with a mean age of 55.8 years, participated. They represented diverse countries of origin, with an average length of time in the USA of 21.7 years. APPROACH: Interview questions prompted participants to describe their telephone call experiences with front desk staff, with attention to interpreter availability, ancillary assistance, health outcomes stemming from a lack of language services, and emotional consequences of language discordance on calls. KEY RESULTS: Patients perceived primary care clinics as providing familiarity and language concordance during telephone interactions, contrasting with specialty care clinics, seen as sources of monolingual English communication. Participants utilized various strategies, such as requesting interpreters, using concise English phrases, or seeking assistance from acquaintances, relatives, or primary care clinic staff, to mitigate language barriers. CONCLUSIONS: The findings underscore significant challenges faced by Spanish-speaking patients with NELP in ambulatory specialty care telephone calls. The study emphasizes the importance of creating inclusive multilingual telephone environments, standardizing interpreter access, and reflecting the diversity of the communities served.

Doctors' Voices Generate Support for Abortion Care: Results from a Nationally Representative Survey.

OBJECTIVE: We tested abortion messaging to develop evidence-based communication recommendations for doctors who provide abortion care. STUDY DESIGN: We conducted an on-line survey in a nationally representative sample of 1,215 people, using NORC's Amerispeak® Panel. We surveyed participants before and after viewing two brief videos featuring doctors who provide abortion care speaking about their work. Doctors' comments were grounded in strategic communications and applied psychology research and emphasized caregiving roles, avoided political-sounding punditry, and acknowledged abortion's complexities. We assessed participants' characterizations of doctors who provide abortion care, how these characterizations impact support for abortion restrictions and overall views on abortion legality. We analyzed pre-post data using descriptive statistics, t-tests and multivariable regression. RESULTS: Post-messaging more participants endorsed positive descriptors of doctors who provide abortion care (p<0.001,t=8.99); fewer endorsed negative descriptors (p<0.001,t=10.32). Increased post-messaging endorsement of positive descriptors predicted declines in support for abortion restrictions (AOR = 1.69,p<0.01); decreased endorsement of negative descriptors did not. After messaging, 37% of respondents said their views of doctors who provide abortion care made them less likely to support abortion restrictions, compared to 14% before (p<0.001,t=-6.9). After messaging there was more overall support for legal, accessible abortion and less for abortion being mostly illegal (46%→48% and 24%→22%,p<0.001;t=-4.11). CONCLUSIONS: When doctors who provide abortion care use messaging recommendations that include speaking about abortion's complexities and avoiding political-sounding punditry, they generate more support for legal abortion and less for restrictions. IMPLICATIONS: The voices of doctors who provide abortion care shape abortion public opinion. When doctors speak from caregiving perspectives, avoid punditry, and acknowledge abortion's complexities they generate more support for legal abortion and less for restrictions. However, audiences may not be aware a priori that ideas of doctors shape their views.

Single-cell sequencing of the substantia nigra reveals microglial activation in a model of MPTP.

Background: N-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) is a neurotoxin widely used to induce PD models, but the effect of MPTP on the cells and genes of PD has not been fully elucidated. Methods: Single-nucleus RNA sequencing was performed in the Substantia Nigra (SN) of MPTP mice. UMAP analysis was used for the dimensionality reduction visualization of the SN in the MPTP mice. Known marker genes highly expressed genes in each cluster were used to annotate most clusters. Specific Differentially Expressed Genes (DEGs) and PD risk genes analysis were used to find MPTP-associated cells. GO, KEGG, PPI network, GSEA and CellChat analysis were used to reveal cell type-specific functional alterations and disruption of cell-cell communication networks. Subset reconstruction and pseudotime analysis were used to reveal the activation status of the cells, and to find the transcription factors with trajectory characterized. Results: Initially, we observed specific DEGs and PD risk genes enrichment in microglia. Next, We obtained the functional phenotype changes in microglia and found that IGF, AGRN and PTN pathways were reduced in MPTP mice. Finally, we analyzed the activation state of microglia and revealed a pro-inflammatory trajectory characterized by transcription factors Nfe2l2 and Runx1. Conclusion: Our work revealed alterations in microglia function, signaling pathways and key genes in the SN of MPTP mice.

Self-Powered ZnO@PdTe2/Si Heterojunction Photodetector with an Ultrafast Response for Color Imaging and Optical Communication.

Broadband photodetectors have attracted much attention due to their multispectral response properties and show great potential in the fields of optical sensing, multispectral imaging, and optical communications. Palladium telluride (PdTe2) is highly competitive in broadband detection due to its tunable bandgap and nonlinear optical properties. However, the low response speed hinders further improvement in the performance of PdTe2-based broadband photodetectors. In this work, we present island-type ZnO@PdTe2 composites on Si as a heterojunction photodetector exhibiting highly sensitive photodetection capabilities in a wide band from the solar-blind region (254 nm) to the short-infrared (1.55 µm). Due to the island-type morphology of the ZnO@PdTe2 composites effectively enhancing light absorption and the ZnO@PdTe2/Si stacks forming a type-II heterojunction accelerating carrier separation, the devices have an ultrafast response (1.58/1.34 µs), a detectivity of up to 1.56 × 1013 Jones, and a sensitivity of up to 107 cm2/W. A triple-channel color imaging system and a dual-channel data transmission system were developed based on the excellent and stable performance of the device. This study demonstrates the great potential of ZnO@PdTe2/Si vertical heterojunction photodetectors for high-speed, wide-band, multiscenario optical communication.

Secrecy Analysis of a Mu-MIMO LIS-Aided Communication Systems under Nakagami-m Fading Channels.

This study evaluates the performance of large intelligent surface (LIS) technology in the context of a multi-user MIMO mobile communication system (Mu-MIMO) proposed for the sixth generation (6G). LIS employs digitally controlled reflectors to enhance Signal-to-Interference plus Noise Ratio (SINR) and establish line of sight (LoS) connectivity in non-LoS environments, improving transmission security. Analytical expressions are derived to assess LIS performance metrics, including distribution parameters, bit error probability, and secrecy outage probability, considering the presence of eavesdroppers and environmental fading. The study highlights the potential of LIS technology to enhance the confidentiality and reliability of digital communication systems in next-generation networks.

Towards Autonomous Driving: Technologies and Data for Vehicles-to-Everything Communication.

Autonomous systems are becoming increasingly relevant in our everyday life. The transportation field is no exception and the smart cities concept raises new tasks and challenges for the development of autonomous systems development which has been progressively researched in literature. One of the main challenges is communication between different traffic objects. For instance, a mobile robot system can work as a standalone autonomous system reacting to a static environment and avoiding obstacles to reach a target. Nevertheless, more intensive communication and decision making is needed when additional dynamic objects and other autonomous systems are present in the same working environment. Traffic is a complicated environment consisting of vehicles, pedestrians, and various infrastructure elements. To apply autonomous systems in this kind of environment it is important to integrate object localization and to guarantee functional and trustworthy communication between each element. To achieve this, various sensors, communication standards, and equipment are integrated via the application of sensor fusion and AI machine learning methods. In this work review of vehicular communication systems is presented. The main focus is the researched sensors, communication standards, devices, machine learning methods, and vehicular-related data to find existing gaps for future vehicular communication system development. In the end, discussion and conclusions are presented.

Power Amplifier Predistortion Using Reduced Sampling Rates in the Forward and Feedback Paths.

The feasibility of implementing digital predistortion for next-generation wireless communication is faced with a dilemma due to the ever-increasing demand for faster data rates. This causes the utilized bandwidth to increase significantly, as seen in the 5G NR standard in which bandwidths as high as 400 MHz are utilized. Hence, the development of new predistortion techniques in which the forward and feedback paths operate at lower sampling rates is of utmost importance to realize efficient and practical predistortion solutions. In this work, a novel predistortion technique is presented by which the predistortion is divided between the digital and analog domains. The predistorter is composed of a memoryless AM/AM gain function that is implementable in the analog domain, and a nonlinear model with memory effects in the digital domain to relax the sampling rate requirements on both the forward and feedback paths. Experimental validation was carried out with a 20 MHz and a 40 MHz 5G signal, and the results indicate minimal linearization degradation with a sampling rate reduction of 50% and 30%, respectively. This sampling rate reduction is concurrently applied in the digital-to-analog converter of the forward path and the analog-to-digital converter of the feedback path.

Deep parallel contextual analysis framework based emotion prediction in community wellness communications on social media.

Understanding public emotion on social media about community wellness is crucial for enhancing health awareness and guiding policy-making. In order to more fully mine the deep contextual semantical information of short texts and further enhance the effectiveness of emotion prediction in social media, we propose the Deep Parallel Contextual Analysis Framework (DPCAF) in the community wellness domain, specifically addressing the challenges of limited text length and available semantical features in social media text. Specifically, at the embedding layer, we first utilize two different word embedding techniques to generate high-quality vector representations, aiming to achieve more comprehensive semantical capture, stronger generalization ability, and more robust model performance. Subsequently, in the deep contextual layer, the obtained representations are fused with POS and locational representations, and processed through a deep parallel layer composed of Convolutional Neural Networks and Bidirectional Long Short-Term Memory Network. An attention model is then used to further extract semantical features of social media texts. Finally, these deep parallel contextual representations are post-integrated for emotion prediction. Experiments on a dataset collected from social media regarding community wellness demonstrate that compared to benchmark models, DPCAF achieves at least a 4.81 % increase in Precision, a 3.44 % increase in Recall, and a 10.81 % increase in F1-score. Relative to the most advanced models, DPCAF shows a minimum improvement of 2.65 % in Precision, 3.02 % in Recall, and 2.53 % in F1-score.

A Call to Action: Supporting Black Maternal and Infant Health Using the Collective Impact Model.

This commentary advocates for a comprehensive approach to addressing the Black maternal and infant health crisis, utilizing the collective impact model with health equity at its center. Black women in the United States face alarmingly high rates of maternal morbidity and mortality compared to white women. Black women are twice as likely to have premature and low birthweight babies than white women, exposing both the expectant woman and child to various health risks. This crisis stems from systemic racism, implicit bias in healthcare, and a lack of targeted health communications for pregnant Black women. The urgency of this situation requires a bold and unified response through collaboration and coordination among healthcare providers, local and grassroots community-based organizations (CBOs), and digital health communicators. A comprehensive Black maternal and infant health campaign embedded within the collective impact model and led by a dedicated backbone organization would facilitate the coordination and involvement of diverse stakeholders. Central to these efforts should be the acknowledgment that systemic racism perpetuates health inequities. Consequently, any initiatives to improve health outcomes should prioritize health equity by valuing and incorporating Black women's perspectives. This involves crafting a responsive strategy and placing Black women at the forefront of content creation, program strategy, and evaluation. Through a collaborative effort involving healthcare partners, CBOs, and health communicators, we can have an impact far more significant than any single initiative. Immediate action is needed to dismantle systemic barriers and ensure every Black woman and infant receives the care and support they deserve. Black maternal health disparities in the United States have been widely acknowledged and studied. It is well-established that Black women face significantly higher rates of maternal morbidity and mortality compared to their white counterparts, indicative of a severe healthcare crisis. This opinion piece contributes to the discourse by proposing a comprehensive solution grounded in the collective impact model, which emphasizes collaboration and coordination across various stakeholders. This approach represents a shift from past siloed efforts, aiming to tackle the urgent issue of Black maternal and infant health with a multidisciplinary approach centered on health equity.

Wideband high gain metasurface-based 4T4R MIMO antenna with highly isolated ports for sub-6 GHz 5G applications.

This study presents the design of four 178 × 178  (mm) 2 wideband, high gain, highly efficient metasurface-based 4T4R MIMO (Multiple-Input Multiple-Output) antennas with highly isolated ports, covering the middle and a portion of the upper bands of the sub 6 GHz 5G frequency spectrum for 5G-based systems, such as IoT (Internet of Things) applications, vehicular communications (e.g., rooftop antennas of cars or trains), smart industries (e.g., farms and factories). The radiating elements of these antennas use the aperture-coupled feeding technique with a dumbbell-shaped slot, a truncated square patch with two U-shaped slots, and a metasurface layer. The proposed MIMO structures place four identical radiating elements like a 2 × 2 matrix with 90 ∘ successive rotations to produce orthogonal electromagnetic waves, improving the isolation between ports. Six-millimeter spaces are added between these elements, and two vertical and horizontal strip slots are carved on the ground as the decoupling structure to decrease the mutual coupling. Simulation results show that Antenna_1, Antenna_2, and Antenna_3 achieve gain values of 6.2 to 9.4 dBi, 8.2 to 11.6 dBi, 6.2 to 9.5 dBi, below - 35, - 25, and - 33 isolation and almost 10 dB diversity gain from 2.8 to 4.7 GHz, 2.8 to 4.5 GHz, and 2.7 to 4.9 GHz, respectively. As a prototype, Antenna_4 is manufactured, and measurements are performed. It achieves 6.28 to 10.45 dBi gain values, below - 23 dB isolation, and 0.001 envelope correlation coefficient over 2.7 to 4.3 GHz. The results confirm that the proposed MIMO antennas are compatible with the 5G essential requisites.

Effectiveness of behavioural change interventions to influence maternal and child healthcare-seeking behaviour in low and lower-middle-income countries: A systematic review of literature.

While behavioural change interventions are utilized in low- and lower-middle-income countries and may be essential in reducing maternal and child mortality, evidence on the effectiveness of such interventions is lacking. This review provides evidence on the effectiveness of behavioural change interventions designed to improve maternal and child healthcare-seeking behaviour in low- and lower-middle-income countries. We searched three electronic databases (PUBMED, EMBASE, and PsycINFO) for articles published in English and French between January 2013 and December 2022. Studies that evaluated interventions to increase maternal and child healthcare utilization, including antenatal care, skilled birth care, postnatal care, immunization uptake, and medication or referral compliance, were included. We identified and included 17 articles in the review. Overall, 11 studies found significant effects of the behavioural change interventions on the desired healthcare outcomes, 3 found partially significant effects, and 3 did not observe any significant impact. A major gap identified in the literature was the lack of studies reporting the effect of behavioural change interventions on women's non-cognitive and personality characteristics, as recent evidence suggests the importance of these factors in maternal and child healthcare-seeking behaviour in low-resource settings. This review highlights some intervention areas that show encouraging trends in maternal and child healthcare-seeking behaviours, including social influence, health education, and nudging through text message reminders.

Bien que les interventions visant à modifier les comportements soient utilisées dans les pays à faibles et moyens revenus et qu'elles pourraient être essentielles pour réduire la mortalité maternelle et infantile, les preuves de l'efficacité de telles interventions font défaut. Cette revue synthétise les preuves de l'efficacité des interventions de changement de comportement conçues pour améliorer le recours aux soins maternels et infantiles dans les pays à faibles et moyens revenus. Nous avons identifiés dans trois bases de données électroniques (PUBMED, EMBASE et PsycINFO) les articles publiés en anglais et en français entre janvier 2013 et décembre 2022. Les études qui évaluaient les interventions visant à accroître l'utilisation des soins de santé maternelle et infantile, y compris les soins prénatals, les soins d'accouchement par du personnel qualifié, les soins postnatals, la vaccination et l'observance des traitements médicamenteux ou de référence, ont été incluses. Nous avons identifié et inclus 17 articles dans la revue. Dans l'ensemble, 11 études mettent en évidence des effets significatifs des interventions visant à modifier les comportements en matière de soins de santé, 3 mettent en évidence des effets partiellement significatifs et 3 n'observent pas d'impact significatif. Une lacune majeure dans la littérature est le manque d'études rapportant l'effet des interventions de changement de comportement sur les caractéristiques non cognitives et de personnalité des femmes, alors que des travaux récents suggèrent l'importance de ces facteurs pour le recours aux soins de santé pour la mère et l'enfant dans les environnements à faibles ressources. Cette étude met en lumière certains domaines d'interventions qui encourageraient les comportements de recours aux soins des mères et des enfants, notamment l'influence sociale, l'éducation à la santé et l'incitation par le biais de rappels par SMS.

PathFinder: a novel graph transformer model to infer multi-cell intra- and inter-cellular signaling pathways and communications.

Recently, large-scale scRNA-seq datasets have been generated to understand the complex signaling mechanisms within the microenvironment of Alzheimer's Disease (AD), which are critical for identifying novel therapeutic targets and precision medicine. However, the background signaling networks are highly complex and interactive. It remains challenging to infer the core intra- and inter-multi-cell signaling communication networks using scRNA-seq data. In this study, we introduced a novel graph transformer model, PathFinder, to infer multi-cell intra- and inter-cellular signaling pathways and communications among multi-cell types. Compared with existing models, the novel and unique design of PathFinder is based on the divide-and-conquer strategy. This model divides complex signaling networks into signaling paths, which are then scored and ranked using a novel graph transformer architecture to infer intra- and inter-cell signaling communications. We evaluated the performance of PathFinder using two scRNA-seq data cohorts. The first cohort is an APOE4 genotype-specific AD, and the second is a human cirrhosis cohort. The evaluation confirms the promising potential of using PathFinder as a general signaling network inference model.

Randomized controlled trial of twin-twin transfusion syndrome laser surgery: the sequential trial.

BACKGROUND: Intraoperative blood transfer between twins during laser surgery for twin-twin transfusion syndrome can vary by surgical technique and has been proposed to explain differences in donor twin survival. OBJECTIVE: This trial compared donor twin survival with 2 laser techniques: the sequential technique, in which the arteriovenous communications from the volume-depleted donor to the volume-overloaded recipient are laser-occluded before those from recipient to donor, and the selective technique, in which the occlusion of the vascular communications is performed in no particular order. STUDY DESIGN: A single-center, open-label, randomized controlled trial was conducted in which twin-twin transfusion syndrome patients were randomized to sequential vs selective laser surgery. Nested within the trial, a second trial randomized patients with superficial anastomoses (arterioarterial and venovenous) to ablation of these connections first (before ablating the arteriovenous anastomoses) vs last. The primary outcome measure was donor twin survival at birth. RESULTS: A total of 642 patients were randomized. Overall donor twin survival was similar between the 2 groups (274 of 320 [85.6%] vs 271 of 322 [84.2%]; odds ratio, 1.12 [95% confidence interval, 0.73-1.73]; P=.605). Superficial anastomoses occurred in 177 of 642 cases (27.6%). Donor survival was lower in the superficial anastomosis group vs those with only arteriovenous communications (125 of 177 [70.6%] vs 420 of 465 [90.3%]; adjusted odds ratio, 0.33 [95% confidence interval, 0.20-0.54]; P<.001). In cases with superficial anastomoses, donor survival was independent of the timing of ablation or surgical technique. The postoperative mean middle cerebral artery peak systolic velocity was lower in the sequential vs selective group (1.00±0.30 vs 1.06±0.30 multiples of the median; P=.003). Post hoc analyses showed 2 factors that were associated with poor overall donor twin survival: the presence or absence of donor twin preoperative critical abnormal Doppler parameters and the presence or absence of arterioarterial anastomoses. Depending on these factors, 4 categories of patients resulted: (1) Category 1 (347 of 642 [54%]), no donor twin critical abnormal Doppler + no arterioarterial anastomoses: donor twin survival was 91.2% in the sequential and 93.8% in the selective groups; (2) Category 2 (143 of 642 [22%]), critical abnormal Doppler present + no arterioarterial anastomoses: donor survival was 89.9% vs 75.7%; (3) Category 3 (73 of 642 [11%]), no critical abnormal Doppler + arterioarterial anastomoses present: donor survival was 94.7% vs 74.3%; and (4) Category 4 (79 of 642 [12%]), critical abnormal Doppler present + arterioarterial anastomoses present: donor survival was 47.6% vs 64.9%. CONCLUSION: Donor twin survival did not differ between the sequential vs selective laser techniques and did not differ if superficial anastomoses were ablated first vs last. The donor twin's postoperative middle cerebral artery peak systolic velocity was improved with the sequential vs the selective approach. Post hoc analyses suggest that donor twin survival may be associated with the choice of laser technique according to high-risk factors. Further study is needed to determine whether using these categories to guide the choice of surgical technique will improve outcomes.

Enhancing readability of USFDA patient communications through large language models: a proof-of-concept study.

BACKGROUND: The US Food and Drug Administration (USFDA) communicates new drug safety concerns through drug safety communications (DSCs) and medication guides (MGs), which often challenge patients with average reading abilities due to their complexity. This study assesses whether large language models (LLMs) can enhance the readability of these materials. METHODS: We analyzed the latest DSCs and MGs, using ChatGPT 4.0© and Gemini© to simplify them to a sixth-grade reading level. Outputs were evaluated for readability, technical accuracy, and content inclusiveness. RESULTS: Original materials were difficult to read (DSCs grade level 13, MGs 22). LLMs significantly improved readability, reducing the grade levels to more accessible readings (Single prompt - DSCs: ChatGPT 4.0© 10.1, Gemini© 8; MGs: ChatGPT 4.0© 7.1, Gemini© 6.5. Multiple prompts - DSCs: ChatGPT 4.0© 10.3, Gemini© 7.5; MGs: ChatGPT 4.0© 8, Gemini© 6.8). LLM outputs retained technical accuracy and key messages. CONCLUSION: LLMs can significantly simplify complex health-related information, making it more accessible to patients. Future research should extend these findings to other languages and patient groups in real-world settings.