Background: Sleep difficulties are commonly reported by patients with asthma; however, the prevalence of insomnia and its association with disease burden and well-being is unknown. We aimed to determine the prevalence of insomnia, defined as combined sleep-specific complaints with associated daytime symptoms, among a large sample of adults with asthma, and to compare well-being, asthma control, and asthma-related health care utilization in individuals with asthma and insomnia and those without insomnia.
Methods: Baseline data from adults with physician-confirmed asthma enrolled in the Severe Asthma Research Program III was used for analyses (N = 714). Participants completed the Insomnia Severity Index (ISI), Asthma Control Test, Asthma Quality of Life Questionnaire, and Hospital Anxiety and Depression Scale.
Results: Insomnia (ISI ≥ 10) was identified in 263 participants (37%). Presence of insomnia was associated with higher levels of depression and anxiety symptoms and poorer quality of life. Those with insomnia had a 2.4-fold increased risk for having not well-controlled asthma and a 1.5-fold increased risk for asthma-related health care utilization in the past year compared with those without insomnia.
Conclusions: Insomnia is highly prevalent in asthma and is associated with adverse outcomes. Further studies are needed to gain a better understanding of the interaction between insomnia and asthma control.
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http://dx.doi.org/10.1016/j.chest.2016.09.020 | DOI Listing |
BMC Med Inform Decis Mak
January 2025
Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Background: Environmental exposures such as airborne pollutant exposures and socio-economic indicators are increasingly recognized as important to consider when conducting clinical research using electronic health record (EHR) data or other sources of clinical data such as survey data. While numerous public sources of geospatial and spatiotemporal data are available to support such research, the data are challenging to work with due to inconsistencies in file formats and spatiotemporal resolutions, computational challenges with large file sizes, and a lack of tools for patient- or subject-level data integration.
Results: We developed FHIR PIT (HL7® Fast Healthcare Interoperability Resources Patient data Integration Tool) as an open-source, modular, data-integration software pipeline that consumes EHR data in FHIR® format and integrates the data at the level of the patient or subject with environmental exposures data of varying spatiotemporal resolutions and file formats.
Lipids Health Dis
January 2025
Department of Pediatrics, West China Second University Hospital, Sichuan University, No. 20, Section 3, South Renmin Road, Chengdu, Sichuan Province, 610041, China.
Background: This study aimed to investigate the association between relative fat mass (RFM) and asthma, as well as to explore the mediating role of Systemic Immune-Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI).
Methods: This cross-sectional study utilized data from the National Health and Nutrition Examination Survey from 2007 to 2018. Associations between RFM and asthma were tested using multivariable logistic regressions, restricted cubic splines, subgroup analyses, and interaction tests, with mediation analysis for SII and SIRI.
BMC Infect Dis
January 2025
Department of Microbiology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
Background: C-reactive protein (CRP) is one of the most commonly monitored inflammatory markers in patients with COVID-19 to gain insight into the inflammation level in the body and to adopt effective disease management and therapeutic strategies. COVID-19 is now less prevalent, and the study of CRP as a biomarker of inflammation still needs deeper understanding, particularly in understanding its role among patients with comorbidities, which are known to influence inflammatory responses and increase the risk of severe outcomes during acute and chronic infectious diseases. The objective of this study was to evaluate the association of major comorbidities such as ischemic heart diseases, diabetes, chronic kidney disease, hypertension, and lung infections e.
View Article and Find Full Text PDFAllergol Int
January 2025
Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Respiratory Medicine, Tokyo Women's Medical University, Tokyo, Japan. Electronic address:
Vet Clin North Am Equine Pract
January 2025
Veterinary Medicine Cooperative Extension, Department of Population Health & Reproduction, School of Veterinary Medicine, University of California - Davis, Davis, CA 95616, USA. Electronic address:
Exercise intolerance, chronic cough, and hyperpnea are the clinical hallmarks of equine asthma. Diagnosis of severe equine asthma in horses is multistep; determination of the phenotype will help guide future recommendations. Management of equine asthma is largely reduction/elimination of triggering agents/conditions.
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