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Background: Limited real-world data exist on the health impacts of the Philips Respironics recall for positive airway pressure (PAP) devices.
Research Question: What is the relationship between PAP device manufacturer and obstructive lung disease (OLD) development and progression?
Study Design And Methods: A retrospective longitudinal study was conducted by using Ontario health administrative databases (Canada) on all new adult PAP users (2012-2018) with or without OLD. Individuals were followed up from PAP claim date to death or March 2023. Outcomes included: (1) incident asthma/COPD (primary); and (2) inpatient/outpatient visits for asthma/COPD (secondary). Inverse probability weighting was used to balance baseline characteristics between individuals on recalled vs nonrecalled PAP devices, and weighted cause-specific HRs (csHRs) were calculated.
Results: Among 248,358 individuals (median follow-up > 7 years), 178,390 had no OLD (44,244 [24.8%] claimed recalled devices), and 69,968 had OLD (18,409 [26.3%] claimed recalled devices). In individuals without OLD, weighted analyses showed no significant difference in incident COPD or asthma risk between groups: csHR of 1.05 (95% CI, 0.97-1.15) for COPD and 1.08 (95% CI, 0.91-1.28) for asthma. No significant difference was observed for secondary outcomes in individuals with OLD. Exploratory analyses revealed modest increases in COPD risk within 2 years (csHR, 1.15; 95% CI, 1.00-1.31) and inpatient COPD visits 6 to 10 years following the PAP claim (csHR, 1.37; 95% CI, 1.02-1.86).
Interpretation: In this real-world population study, compared with other manufacturers, recalled devices were not independently associated with OLD development or progression following adjustment. However, early increases in COPD incidence and late effects on inpatient visits warrant further investigation.
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http://dx.doi.org/10.1016/j.chest.2025.05.008 | DOI Listing |
Front Plant Sci
August 2025
College of Engineering, South China Agricultural University, Guangdong, China.
Reliable detection and spatial localization of banana bunches are essential prerequisites for the development of autonomous harvesting technologies. Current methods face challenges in achieving high detection accuracy and efficient deployment due to their structural complexity and significant computational demands. This study proposes YOLO-BRFB, a lightweight and precise system designed for detection and 3D localization of bananas in orchard environments.
View Article and Find Full Text PDFJ Cardiovasc Electrophysiol
September 2025
Northwell Cardiovascular Institute, Center for Arrhythmias, New Hyde Park, New York, USA.
Background: Atrial fibrillation (AF) and heart failure (HF) frequently coexist in patients, with the development of AF often preceding HF decompensation. We sought to evaluate whether daily remote monitoring of ICD parameters could predict AF occurrence using machine learning techniques in a real-world cohort.
Methods: Data from patients with primary prevention ICDs transmitted daily to the Northwell centralized remote monitoring center between 2012 and 2021 were extracted.
J Epidemiol
September 2025
Faculty of Sport Sciences, Waseda University.
Background: Brief measures of 24-hour movement behaviors are needed to easily evaluate their durations. The present study investigated the criterion validity and test-retest reliability of a brief self-report instrument to assess 24-hour movement behaviors.
Methods: A paper-based self-administered questionnaire was used to assess sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with four items in 35 healthy adults.
Am J Physiol Heart Circ Physiol
September 2025
School of Health and Kinesiology, University of Nebraska at Omaha, Omaha, Nebraska.
The purpose of this study was to test the initial feasibility of an acute hypertension detection platform (AHDP) for wearable devices that may be useful for the rapid detection of malignant hypertensive crises. The overall hypothesis was that the AHDP could detect laboratory-simulated elevations in blood pressure (BP). 42 healthy-young participants (21.
View Article and Find Full Text PDFAACN Adv Crit Care
September 2025
Dian Baker is Professor Emeritus, School of Nursing, California State University, Sacramento, California.
Large-volume intravenous (IV) smart pumps are used in acute and critical care to deliver IV fluids and medications with safety-enhancing features such as dose error reduction systems. Although these technologies offer improvements over manual administration, IV smart pumps are associated with high rates of medication errors, programming challenges, and usability issues. Alarm fatigue, interface complexity, and workarounds are common, with studies showing high error rates.
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