Background: Chronic rhinosinusitis (CRS) is accompanied by burdensome comorbid conditions. Understanding the relative timing of the onset of these conditions could inform disease prevention, detection, and management.
Objective: To evaluate the association between CRS and new-onset and prevalent asthma, noncystic fibrosis bronchiectasis (NCFBE), chronic obstructive pulmonary disease (COPD), gastroesophageal reflux disease (GERD), and obstructive sleep apnea (OSA).
Methods: We conducted a prospective cohort study among primary care patients using a detailed medical and symptom questionnaire in 2014 and again in 2020. We used questionnaire and electronic health record (EHR) data to determine CRS status: CRS (moderate to severe symptoms with EHR evidence), CRS (limited symptoms with EHR evidence), CRS (moderate to severe symptoms without EHR evidence), CRS (limited symptoms and no EHR evidence; reference). We evaluated the association between CRS status and new-onset and prevalent disease using logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs).
Results: There were 7847 and 4445 respondents to the 2014 and 2020 questionnaires, respectively. CRS (vs CRS ) was associated with increased odds of new-onset asthma (OR, 1.74 [CI, 1.09-2.77), NCFBE (OR, 1.87 [CI, 1.12-3.13]), COPD (OR, 1.73 [CI, 1.14-2.68]), GERD (OR, 1.95 [CI, 1.61-2.35]), and OSA (OR, 1.91 [CI, 1.39-2.62]). Similarly, increased odds were observed for associations with the prevalence of these conditions.
Conclusion: The findings from the study support further exploration of CRS as a target for the prevention and detection of asthma, NCFBE, COPD, GERD, and OSA.
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http://dx.doi.org/10.1002/alr.23136 | DOI Listing |
J Psoriasis Psoriatic Arthritis
January 2025
Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Background: Generalized pustular psoriasis (GPP) is a rare, chronic, often unpredictable, severe multisystemic autoinflammatory skin disease from which patients can experience flares, episodes of widespread eruptions of painful, sterile pustules often accompanied by systemic symptoms. The impact of GPP flares and underlying GPP severity on the healthcare resource utilization (HCRU) is not well characterized.
Objective: To quantify HCRU among US GPP patients by flare status and underlying severity.
The COVID-19 pandemic has been associated with increased neuropsychiatric conditions in children and youths, with evidence suggesting that SARS-CoV-2 infection may contribute additional risks beyond pandemic stressors. This study aimed to assess the full spectrum of neuropsychiatric conditions in COVID-19 positive children (ages 5-12) and youths (ages 12-20) compared to a matched COVID-19 negative cohort, accounting for factors influencing infection risk. Using EHR data from 25 institutions in the RECOVER program, we conducted a retrospective analysis of 326,074 COVID-19 positive and 887,314 negative participants matched for risk factors and stratified by age.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA, United States.
Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured EHR text into structured features, which can then be integrated into statistical prediction models, ensuring that the results are both clinically meaningful and interpretable.
Objective: This study aims to compare the classification decisions made by clinical experts with those generated by a state-of-the-art LLM, using terms extracted from a large EHR data set of individuals with mental health disorders seen in emergency departments (EDs).
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.
View Article and Find Full Text PDFThromb Res
January 2025
Thrombosis Research Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; YNHH/Yale Center for Outcomes Research and Evaluation (CORE), New Haven, CT, USA; Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address:
Background: Isolated subsegmental pulmonary embolism (issPE) is a commonly encountered diagnosis. Although the International Classification of Diseases (ICD)-10 codes are used for research, their validity for identifying issPE is unknown. Moreover, issPE diagnosis is challenging, and the findings from radiology reports may conflict with those from expert radiologists.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!