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To identify subgroups with similar social determinants of health (SDOH) characteristics using latent class analysis (LCA) and examine their associations with physical and mental health, cognitive function and missed workdays at 3 and 6 months post-SARS-CoV-2 infection. We hypothesised that intersecting SDOH factors would differentially influence COVID-19-related health outcomes across subgroups.
Prospective cohort study from the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE), with longitudinal data collection and cross-sectional analyses at baseline, 3-month and 6-month follow-ups.
Multicentre registry across eight US academic medical centres (Chicago, Dallas, Houston, Los Angeles, New Haven, Philadelphia, San Francisco and Seattle).
Adults aged ≥18 years, fluent in English or Spanish, with self-reported acute COVID-19 symptoms and a confirmed positive SARS-CoV-2 test within 42 days before enrolment (9 December 2020 to 12 August 2022), and access to an internet-connected device. Exclusions included incarceration, inability to provide informed consent, lack of confirmed SARS-CoV-2 infection or no internet access. Of 3791 eligible participants with complete baseline data, 2897 (76.4%) completed the 3-month follow-up and 2666 (70.3%) completed the 6-month follow-up; most were aged 18–49 years (74–75%), female (66–67%), white (86.6–87.5%) and non-Hispanic (86.6–87.5%).
Prespecified primary outcomes were physical and mental health (Patient-Reported Outcomes Measurement Information System (PROMIS)-29 V.2.1 T-scores for depression, anxiety, fatigue, sleep disturbance, pain interference, physical function and social participation), cognitive function (PROMIS Cognitive Function Short Form 8 T-scores) and missed workdays due to illness (binary: >1 week vs ≤1 week, from a single-item survey). All measures were self-reported and collected at baseline, 3 months and 6 months; no changes from protocol.
LCA identified a 4-class model as optimal (lowest Bayesian Information Criterion (BIC) after evaluating 1–7 class models; significant demographic differences (2 p
In this US prospective cohort, SDOH-based subgroups showed persistent disparities in health outcomes post-SARS-CoV-2 infection. Findings highlight the urgent need for intersectional approaches to address systemic inequities in post-COVID-19 recovery.
by Jorman H. Tejada-Perdomo, Valentina Gutierrez-Perdomo, Juana V. Agudelo-Castro, Jorge A. Pérez-Gamboa, Alejandro Weinstein, Sebastián San Martín, Rodrigo Salas, Jorge A. Ramos-Castaneda
The use of devices that facilitate rapid airway isolation is essential when managing critical patients in emergencies. In recent years, additive manufacturing has emerged as an innovative, versatile, and accessible technology for developing medical devices. This study presents the design, development, and validation of an extraglottic medical device created using computer-aided design tools and stereolithographic 3D printing to facilitate blind intubation by first responders. The device was iteratively modeled and fabricated with biocompatible materials; validation in airway simulators and human cadaveric specimens assessed dimensions, friction, intubation technique, and learning curve, and ease of use was rated with a Likert scale. Ten iterations led to a final design with low friction and minimal cervical manipulation; ramp angle, cup geometry, and distal tip were optimized for tube passage, and BioMed Flex 80A showed high strength and anatomical compatibility. The final version is a safe, reusable, and functional alternative for airway management and blind orotracheal intubation, particularly in emergencies and resource-limited settings; clinical validation in live patients is still needed.
FreshRSS 