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Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study

Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study

Furthermore, many respiratory viral infections, including COVID-19, cause death of the infected cells, activation of the innate immune response, and secretion of inflammatory cytokines. All these processes are associated with the development of OS, which makes an important contribution to the pathogenesis of viral infections.

Olivier Raspado, Michel Brack, Olivier Brack, Mélanie Vivancos, Aurélie Esparcieux, Emmanuelle Cart-Tanneur, Abdellah Aouifi

JMIR Form Res 2025;9:e66509

Effect of Continuous Positive Airway Pressure or Positional Therapy Compared to Control for Treatment of  Obstructive Sleep Apnea on the Development of Gestational Diabetes Mellitus in Pregnancy: Protocol for Feasibility Randomized Controlled Trial

Effect of Continuous Positive Airway Pressure or Positional Therapy Compared to Control for Treatment of Obstructive Sleep Apnea on the Development of Gestational Diabetes Mellitus in Pregnancy: Protocol for Feasibility Randomized Controlled Trial

Participant consent forms, printed results, and other identifying information on hard copy will be stored in a locked cabinet in a security-access area of the Respiratory and Sleep Medicine Research Department at Liverpool or Campbelltown Hospitals. Where possible, study data will be stored separately to participant identifiers.

Frances Clements, Hima Vedam, Yewon Chung, John Smoleniec, Colin Sullivan, Renuka Shanmugalingam, Annemarie Hennessy, Angela Makris

JMIR Res Protoc 2025;14:e51434

Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation

Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation

PFTs are critical for the diagnosis and prognostication of respiratory disorders, and provide a noninvasive method for measuring and monitoring the degree of respiratory impairment [2]. They are recommended for the initial evaluation of patients with chronic dyspnea and other respiratory symptoms, as well as for individuals at risk of respiratory complications due to transplant or surgery [3,4].

Scott A Helgeson, Zachary S Quicksall, Patrick W Johnson, Kaiser G Lim, Rickey E Carter, Augustine S Lee

JMIR AI 2025;4:e65456

Impact of Demographic and Clinical Subgroups in Google Trends Data: Infodemiology Case Study on Asthma Hospitalizations

Impact of Demographic and Clinical Subgroups in Google Trends Data: Infodemiology Case Study on Asthma Hospitalizations

Reference 3: Respiratory viruses and exacerbations of asthma in adults Reference 5: Role of viral respiratory infections in asthma and asthma exacerbations disease outbreaks with a combination of Google Trends search results and the moving epidemic method: a respiratoryrespiratoryRespiratory Medicine

Diana Portela, Alberto Freitas, Elísio Costa, Mattia Giovannini, Jean Bousquet, João Almeida Fonseca, Bernardo Sousa-Pinto

J Med Internet Res 2025;27:e51804

Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative

Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative

The initial focus among clinicians on respiratory symptoms and widespread lack of knowledge around what were initially considered to be “atypical” presentations, such as postexertional malaise, ME/CFS, POTS, and dysautonomia, also contribute to missingness of relevant diagnoses within the EHR [43], which is compounded by the absence of or delay in introduction of ICD-10 codes for many of these conditions, including the U09.9 code for long COVID itself.

Hannah L Mandel, Shruti N Shah, L Charles Bailey, Thomas Carton, Yu Chen, Shari Esquenazi-Karonika, Melissa Haendel, Mady Hornig, Rainu Kaushal, Carlos R Oliveira, Alice A Perlowski, Emily Pfaff, Suchitra Rao, Hanieh Razzaghi, Elle Seibert, Gelise L Thomas, Mark G Weiner, Lorna E Thorpe, Jasmin Divers, RECOVER EHR Cohort

J Med Internet Res 2025;27:e59217