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Telemedicine Booths for Screening Cardiovascular Risk Factors: Prospective Multicenter Study

Telemedicine Booths for Screening Cardiovascular Risk Factors: Prospective Multicenter Study

In addition, other measures can also be obtained that can signal other health conditions, such as oxygen saturation, where low levels could point to anemia or pulmonary diseases, and rapid visual tests, where abnormalities could be a sign of macular degeneration or epiretinal membrane. In this study, we assessed the feasibility and interest of using the consult station telemedicine booth for self-screening during the COVID-19 pandemic, when there was a particular need for remote medical services.

Mélanie Decambron, Christine Tchikladze Merand

JMIR Hum Factors 2025;12:e57032

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

COVID-19 infection has various levels of pulmonary involvement, with asymptomatic, benign, serious, or even fatal forms, especially when the infected patient has comorbidities such as a history of cancer or malignant hematological diseases; concurrent chemotherapy treatment; severe chronic kidney disease, with or without dialysis; a history of solid organ transplantation or allogeneic hematopoietic stem cell transplantation; chronic polypathologies such as diabetes, high blood pressure, and obesity; or 2 or

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

JMIR Form Res 2025;9:e66509

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

Pulmonary function testing (PFT) provides physiological measurements of the respiratory system across multiple dimensions, typically classified into (1) spirometry, which measures air flow, lung volumes, and capacities during a expiratory forced vital capacity (FVC) maneuver; (2) static lung volumes; and (3) gas exchange parameters such as the diffusing capacity for carbon monoxide and oxygen saturations [1].

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

JMIR AI 2025;4:e65456

Prevalence and Economic Impact of Acute Respiratory Failure in the Prehospital Emergency Medical Service of the Madrid Community: Retrospective Cohort Study

Prevalence and Economic Impact of Acute Respiratory Failure in the Prehospital Emergency Medical Service of the Madrid Community: Retrospective Cohort Study

Acute pulmonary edema is associated with high mortality. It requires emergency management and usually admission to hospital [7,12,13]. Prospective studies have shown that early treatment applied by prehospital EMS improves short time outcomes and lower hospital readmissions, but the population susceptible to early treatment is unknown [14,15]. COPD, CHF, and acute pulmonary edema (APE) are serious illnesses that often require acute care from EMS [5,6,16].

Ana María Cintora-Sanz, Cristina Horrillo-García, Víctor Quesada-Cubo, Ana María Pérez-Alonso, Alicia Gutiérrez-Misis

JMIR Public Health Surveill 2025;11:e66179